Submitted:
23 August 2026
Posted:
25 August 2026
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Abstract
Introduction: Low-field nuclear magnetic resonance (NMR)-based stimulation is an emerging non-invasive biophysical approach for tissue modulation, penetrating deeper than optical or mechanical techniques. However, the mechanisms linking physical exposure to biological response remain unclear.Areas covered: This review examines the physical principles of low-field NMR-based stimulation, focusing on cyclic adiabatic passage, longitudinal relaxation time (T1), and how field parameters and tissue relaxation properties may shape the distribution of the perturbation. Low-field NMR-based stimulation studies were identified in PubMed and Ovid/Embase from inception to 28 December 2025; other literature through targeted searches and the authors’ domain knowledge. Clinical studies suggest a favorable safety profile and improvements in pain, function and quality of life in several musculoskeletal indications, although between-group superiority was inconsistent. Experimental studies indicate modulation of inflammatory signaling, mitochondrial function, metabolism and redox-sensitive pathways. Four mechanistic questions are emphasized: how relaxation-weighted perturbations reach intracellular signaling; how a spin-level perturbation could trigger biochemical change; what determines specificity; and how weak perturbations are amplified.Expert opinion: Low-field NMR-based stimulation constitutes a physically definable exposure regime, but an NMR-specific biological transduction mechanism has not yet been established. Progress requires rigorously controlled, parameter-resolved experiments capable of supporting or rejecting resonance-specific interpretations.
Keywords:
biophysical therapy
; low-field NMR
; magnetic resonance stimulation
; non-thermal electromagnetic interaction
; redox signaling
; mitochondrial regulation
1. Introduction
Musculoskeletal disorders, including osteoarthritis, osteoporosis, chronic low back pain and radicular syndromes, represent a major and growing clinical burden in aging populations [1,2,3]. These conditions involve a complex interplay of mechanical, inflammatory and metabolic factors, and frequently affect deep anatomical structures such as intervertebral discs, subchondral bone and central joint compartments [4,5,6]. Although current treatment strategies combine pharmacological management, physical therapy and, where necessary, surgical intervention, a substantial proportion of patients experience persistent symptoms or are not suitable candidates for invasive procedures [1,5,7]. This has led to increasing interest in non-invasive physical therapies that can modulate tissue function while avoiding the systemic exposure typically associated with pharmacological treatments [6,8,9].
A central limitation of many established non-invasive modalities is their restricted ability to effectively engage tissues located deeper within the body. Optical approaches, such as near-infrared light therapies (photobiomodulation), are constrained by absorption and scattering, resulting in rapid attenuation with increasing tissue depth [10,11,12]. Mechanical interventions, such as extracorporeal shock wave therapy, can access deeper regions but are typically focal and not designed for uniform volumetric stimulation [13,14,15]. Electromagnetic approaches, including pulsed electromagnetic field (PEMF) therapies, offer improved tissue penetration; however, their molecular and cellular modes of action often remain incompletely defined and quantitatively characterized [8,16,17]. As a result, there remains a need for non-invasive technologies capable of delivering controlled and spatially distributed stimulation to deep anatomical regions while enabling quantitative investigation of the underlying biophysical mechanisms of action.
Low-field nuclear magnetic resonance (NMR)-based stimulation, also referred to in the literature as nuclear magnetic resonance therapy (NMRT) or molecular biophysical stimulation therapy (MBST), has been described as a distinct resonance-based approach within this broader electromagnetic landscape [9,18,19]. Derived from the physical principles of NMR, these systems operate at magnetic field strengths several orders of magnitude lower than those used in diagnostic magnetic resonance imaging (MRI) and employ weak static and time-varying electromagnetic fields intended to establish resonance conditions involving hydrogen nuclei in biological tissue [9,18,19]. Because static magnetic and low-frequency electromagnetic fields are not substantially attenuated under these conditions, such exposure can, in principle, extend across large tissue volumes, including deep anatomical structures [20,21]. Clinical and experimental studies of low-field NMR-based stimulation have been reported across several musculoskeletal indications and biological models, and are considered in detail in Section 4 [22,23,24,25,26,27,28,29,30,31,32,33,34,35,36].
In terms of tissue accessibility, low-field NMR-based stimulation is more closely related to PEMF therapy than to photobiomodulation. Optical energy is progressively attenuated by absorption and scattering: in ex vivo skin and muscle, more than 90% of incident 905- or 1064-nm laser energy was lost within the first 10 mm of tissue, and only approximately 0.1-0.3% remained measurable at a depth of 20 mm [10,11]. By contrast, the magnetic-field components used in PEMF and low-field NMR-based stimulation are not subject to optical attenuation and could therefore reach deeper anatomical regions [8,16,17,20,21]. Low-field NMR-based stimulation differs from conventional PEMF exposure through the coordinated application of a static magnetic field, a swept field and radiofrequency excitation near the proton Larmor frequency, thereby generating repeated resonance crossings.
The biological responses reported for these modalities show some overlap. Photobiomodulation studies have described changes in mitochondrial activity, redox signaling and calcium regulation, while PEMF studies have reported effects involving membrane-associated processes, calcium signaling and redox-sensitive pathways [8,16,17]. Experimental studies of low-field NMR-based stimulation have likewise reported changes in calcium homeostasis, mitochondrial function, metabolism and redox regulation [28,29,30,31,32,33,34,35,36].
However, the mechanisms by which low-field NMR-based stimulation is translated into specific molecular and cellular responses have remained incompletely resolved.
This unresolved mechanistic link is also reflected in the current evidence base. Clinical studies of low-field NMR-based stimulation have reported improvements in patient-reported outcomes, including pain, physical function and quality of life [22,23,24,25,26,27]. In parallel, experimental studies have consistently identified cellular responses in cartilage-, bone- and stress-related models, including modulation of inflammatory signaling, calcium and ATP homeostasis, metabolic state and redox-related processes [28,29,30,31,32,33,34,35,36]. These observations indicate biological responsiveness across several experimental systems, but the sequence connecting the physical exposure conditions to the reported molecular and cellular responses remains to be clarified.
From a physical perspective, low-field NMR-based stimulation may be described in terms of nuclear spin dynamics, resonance conditions and relaxation processes. In the low-field regime, longitudinal relaxation time (T1) becomes a particularly relevant parameter because it reflects the recovery of spin polarization between successive perturbations and because it is sensitive to molecular mobility, water organization and tissue composition [37,38,39]. From a biological perspective, reported responses converge on intracellular signaling and metabolic pathways that regulate tissue stress responses, inflammation and repair [28,29,30,31,32,33,34,35,36]. Understanding how these two levels of description are connected is therefore central to the mechanistic development of the field.
The aim of this review is to examine this relationship by developing an integrated framework that links the physical operation of low-field NMR-based stimulation systems to their potential biological consequences. The focus is placed on the physical principles of the approach, particularly the role of longitudinal relaxation and the temporal structure of cyclic adiabatic passage, which together define how spin systems are repeatedly perturbed and allowed to relax within biologically complex tissues. These physical principles are then used to examine how spatially distributed, time-structured perturbations may interact with cellular signaling, metabolic and redox-sensitive pathways. Finally, the review outlines experimental strategies to test these proposed links and to resolve key uncertainties in the mechanism of action.
2. Literature Search Strategy
The literature on low-field NMR-based stimulation itself was identified systematically. PubMed and Ovid/Embase (all resources) were searched from database inception to 28 December 2025 for the terms “MBST”, “MBST therapy”, “molecular biophysical stimulation therapy”, “NMRT”, “nuclear magnetic resonance therapy”, “tNMR” and “therapeutic nuclear magnetic resonance”, following the 2020 PRISMA statement [40].
For the seven terms in the order given above, PubMed returned 62, 28, 2, 26, 10, 16 and 8 records, and Ovid/Embase returned 178, 62, 4, 72, 35, 35 and 16 records. Together the two databases yielded 554 records, of which 367 were duplicates and were removed before screening. Records were not marked as ineligible by any automated tool.
Screening of the remaining 187 records led to the exclusion of 159 that bore no relation to low-field NMR-based stimulation. This high proportion arises because the abbreviations “MBST”, “NMRT” and “tNMR” are also in common use in unrelated fields. Full texts of all 28 remaining records were obtained through the electronic library of LMU Munich or from other sources and were assessed for eligibility; publications not written in English were translated with the help of a large language model.
Five of the 28 records were conference abstracts and were excluded, leaving 19 original articles and four peer-reviewed reviews. Their reference lists yielded a further seven peer-reviewed original articles. The final dataset therefore comprised 26 peer-reviewed original articles: 11 clinical studies, three veterinary clinical studies, one study in an experimentally induced animal model and 11 in vitro studies. No study was excluded on the basis of its results. Because the clinical indications addressed were too heterogeneous, no meta-analysis was attempted. One further clinical report on osteoporosis was not retrieved by this search and is therefore not part of the dataset described above; it was identified by the authors and is discussed separately in Section 4.
The remaining literature cited in this review, comprising NMR and relaxation physics, spin chemistry, and general methodological sources, was not part of this systematic search. It was identified through targeted searches of PubMed and through the authors’ domain knowledge, as is appropriate for the conceptual scope of a narrative review.
3. Physical Principles of Low-Field NMR-Based Stimulation
Low-field NMR-based stimulation operates in a physical regime that differs fundamentally from that of diagnostic MRI [41,42]. While diagnostic MRI employs magnetic fields in the Tesla range and radiofrequency excitation in the megahertz domain, low-field NMR-based stimulation systems function at magnetic field strengths on the order of 0.3–0.4 millitesla (mT), corresponding to proton Larmor frequencies in the kilohertz range [26,43,44,45,46]. This shift is not merely quantitative but changes the relative weighting of spin–environment interactions [47]. At these lower frequencies, the relaxation-relevant spectral window shifts toward slower spin–environment interactions, making relaxation properties increasingly sensitive to tissue microstructure and molecular organization [37,38,39,44,47].
The physical basis of this approach is related to the magnetic moment of nuclear spins, primarily those of hydrogen nuclei. In the presence of an external magnetic field, these spins align partially and precess at the Larmor frequency. When an oscillating electromagnetic field is applied near this frequency, transitions between spin states can be induced, allowing the system to absorb and subsequently release energy through relaxation processes [41,43]. These processes are well established within NMR physics. Whether and how such low-field perturbations are translated into specific cellular responses is a separate question and is not explained by spin physics alone.
A defining feature of low-field NMR-based stimulation is the way in which resonance is established. Instead of applying short radiofrequency pulses in a fixed static magnetic field, low-field systems typically employ cyclic adiabatic passage [48]. In this approach, the effective magnetic field experienced by the spins is modulated such that the instantaneous Larmor frequency repeatedly traverses the frequency of the applied radiofrequency field [48,49]. Each traversal represents a resonance crossing during which the spin system is perturbed from equilibrium. As the system moves away from resonance, the spins relax toward equilibrium, transferring energy to their molecular surroundings. Because this process is repeated continuously, excitation and relaxation phases overlap, resulting in a quasi-steady-state regime [41,50]. If the adiabatic condition is satisfied, the spin system follows the changing effective magnetic field while minimizing non-adiabatic transitions, whereas relaxation and dephasing determine how rapidly the system returns toward equilibrium. The repetition rate determines how frequently resonance conditions are encountered.
An important consequence of this dynamic approach is reduced sensitivity to spatial magnetic field inhomogeneities [48,49]. Since resonance is not confined to a single frequency at a fixed field, but is instead traversed over a range of conditions, different regions of the sample experience resonance at different times. This contributes to a more spatially distributed exposure across extended tissue volumes rather than sharply localized excitation. Within this dynamic exposure regime, longitudinal relaxation time (T1) becomes a key parameter. T1 defines the characteristic timescale over which longitudinal spin polarization returns toward equilibrium and reflects the transfer of energy from the spin system to its surrounding molecular environment [41,47]. At magnetic fields used in diagnostic MRI (e.g., 1.5 and 3 Tesla), T1 typically ranges from approximately 250 ms in fat to 4000 ms in water-rich tissues such as cerebrospinal fluid, depending on tissue composition and microstructural environment [42,51]. Under low-field NMR-based stimulation conditions (0.4 millitesla), relaxation becomes increasingly sensitive to slower molecular dynamics associated with compartmentalized water, including water restricted by lipid-rich membrane structures and hydration-mediated interactions with proteins, particularly extracellular-matrix proteins such as collagens [37,47,52,53,54]. As a result, T1 values become shorter and more strongly influenced by tissue microstructure than at higher magnetic field strengths [39,44].
This distinction is also important when comparing low-field NMR-based stimulation with conventional MRI and NMR. Despite their substantially higher static magnetic fields, diagnostic MRI and conventional NMR use different combinations of field strength, radiofrequency excitation, gradients and temporal sequencing, whereas low-field NMR-based stimulation relies on repeated swept-field resonance crossings [41,42]. The absence of a generally recognized therapeutic effect from routine MRI, or of a comparable reported effect in personnel routinely working in MRI and NMR environments, therefore argues against a simple field-strength–dependent biological response, while leaving open whether any response to low-field stimulation depends on the specific combination of frequency, waveform and timing.
Biological tissues are inherently heterogeneous and consist of multiple interacting water environments, including intracellular water and extracellular water, the latter comprising pericellular, interstitial and extracellular-matrix-associated pools [37,52,55,56]. Each environment exhibits distinct dynamical properties, and exchange processes between them occur on timescales that may be comparable to relaxation [54]. Consequently, observed T1 values represent effective properties emerging from a coupled system rather than intrinsic properties of isolated water pools. Differences in T1 therefore provide graded rather than discrete tissue weighting, as overlapping relaxation distributions preclude strict selectivity for individual tissue compartments [55,56,57,58].
The temporal structure of cyclic adiabatic passage introduces a second key parameter: the relationship between the repetition time of excitation–relaxation cycles and the intrinsic T1 relaxation times of the system, which in biological tissue are on the order of 0.1 to 1 seconds. When the cycle duration is short relative to T1, spins do not fully relax between successive resonance events, leading to partial saturation and reduced incremental excitation. Conversely, when the cycle duration is long compared to T1, the system returns to equilibrium between cycles, but the overall rate of energy transfer is reduced. The interaction is expected to be strongest when the cycle duration is on the order of the relevant T1 values [41,50]. Under these conditions, the external driving is effectively matched to the intrinsic recovery dynamics of the system, allowing repeated excitation without excessive saturation. Because tissues exhibit a distribution of T1 values, this matching is not exact but results in preferential weighting of those components whose relaxation dynamics are closest to the imposed cycle time.
This behavior can be interpreted as a form of temporal filtering. The excitation protocol defines a weighting function over the underlying distribution of relaxation times, modulating how strongly different components of the tissue contribute to the overall interaction. Faster cycling emphasizes components with shorter relaxation times, while slower cycling increases the relative contribution of components with longer relaxation times. Importantly, this modulation is graded rather than selective, reflecting the continuous nature of the underlying distributions.
From an energetic perspective, the interaction occurs in a non-thermal regime, implying that any biological effect requires amplification through downstream biochemical processes rather than direct heating. The interaction strength can be estimated from the nuclear spin energy splitting , where is the reduced Planck constant, the proton gyromagnetic ratio and the applied magnetic field. For fields in the millitesla range, this yields an energy per proton on the order of joules. In comparison, thermal energy at physiological temperature is joules. The energy associated with nuclear spin transitions is therefore several orders of magnitude smaller than thermal energy under physiological conditions. Direct energetic forcing of biochemical reactions is therefore unlikely, and additional transduction and amplification processes would be required for the physical perturbation to produce a biological response. Taken together, low-field NMR-based stimulation can be described, in physical terms, as a distributed, timing-dependent interaction between applied electromagnetic fields and heterogeneous, multi-compartment biological tissues. The combination of cyclic adiabatic passage, altered relaxation dynamics in the kilohertz regime, and the intrinsic structure of biological tissue defines how the perturbation is distributed in space and time. This description defines the physical exposure regime but does not establish how, or whether, nuclear-spin perturbation is translated into a biochemical or cellular response.
4. Clinical and Biological Evidence
The available evidence on low-field NMR-based stimulation includes a favorable reported tolerability profile, clinical outcome signals across several musculoskeletal indications and a growing body of experimental observations indicating biological responsiveness. The overall evidence base remains limited in size and heterogeneous in study design, exposure protocol and outcome assessment. It nevertheless provides a basis for evaluating both the therapeutic potential of the approach and the methodological requirements for further investigation.
Across the published clinical studies, low-field NMR-based stimulation has generally been reported to be well tolerated, and no serious treatment-related adverse effects have been described [22,23,24,25,26,27,45,46,59,60,61]. These observations support a favorable preliminary safety profile under the reported treatment conditions. Larger patient populations and longer follow-up will be important for characterizing less frequent or delayed adverse effects more reliably. Interpretation of clinical benefit must be considered separately and requires attention to study design, patient selection, comparator conditions and endpoint definition.
The clinical literature includes randomized controlled trials and observational studies in osteoarthritis, osteoporosis, chronic low back pain and radicular syndromes [22,23,24,25,26,27,59,60]. The studies differ substantially in population size, treatment context, duration of follow-up and outcome measures. Several investigations primarily assessed pain, physical function, quality of life, medication use or work-related outcomes. These endpoints are clinically relevant, but they may also be influenced by expectation, placebo responses, regression to the mean and concurrent rehabilitation. These influences do not, however, apply uniformly across study designs. In a randomized, placebo-controlled trial they operate in both arms and therefore cannot by themselves generate a between-group difference, whereas in uncontrolled before-after comparisons they remain substantive alternative explanations. Structural endpoints such as bone mineral density are, in addition, quantitative and observer-independent and are not susceptible to expectation or reporting bias, although in single-arm designs they remain sensitive to regression to the mean and to measurement drift.
In knee osteoarthritis, a placebo-controlled randomized trial reported improvements in both the active and control groups, without consistent evidence of significant between-group differences at the primary endpoint [27]. The study therefore did not provide clear evidence of superiority of active treatment at that endpoint. At the same time, interpretation is complicated by a statistically significant baseline difference in pain scores, with higher initial values in the actively treated group, for which no adjustment was reported [27]. This imbalance may have influenced the comparison of change scores through regression to the mean or unequal potential for improvement. The findings illustrate both the importance of the control-group result and the need to account appropriately for baseline differences when estimating treatment effects.
Positive findings have been reported in finger-joint osteoarthritis and selected spinal conditions. In finger-joint osteoarthritis, placebo-controlled data suggest sustained improvements in pain and function, with less pronounced changes in the control group [24]. Similarly, in chronic low back pain and radicular syndromes, studies conducted in rehabilitation settings have reported improvements in functional outcomes, pain under stress, work-related measures and quality-of-life parameters, in some cases with more persistent benefits in actively treated groups [22,23,26,60]. In one double-blind, placebo-controlled trial in 62 patients undergoing inpatient rehabilitation for chronic low back pain, disability scores improved in both groups during the rehabilitation programme, but three months after treatment the improvement was no longer significant relative to baseline in the placebo group, whereas it remained significant in the actively treated group; between-group differences in peak pain and in pain on weight bearing were not statistically significant at that time point [23]. These findings are encouraging, although their interpretation should consider the relatively small study populations and the contribution of rehabilitation programmes.
Observational studies and longer-term follow-up investigations have reported structural and functional improvements in indications including osteoarthritis and osteoporosis [25,59,61,62,63]. Such findings are of particular interest because they suggest that responses may extend beyond short-term symptom changes. However, the absence of control groups limits the ability to separate treatment-related effects from natural variation, concurrent interventions and regression to the mean. This is particularly relevant in slowly progressing conditions with substantial inter-individual variability [64,65]. These studies therefore provide supportive and hypothesis-generating evidence that should be examined further in controlled trials.
One observational cohort in osteoporosis illustrates how an internal contrast can constrain such alternative explanations even in the absence of a control group. In 41 patients assessed by quantitative computed tomography of the lumbar spine six months after a ten-session treatment course, mean bone mineral density increased from 97.5 to 100.2 mg/ml (p < 0.05). The increase was confined to the 27 patients who were not receiving antiresorptive medication, whereas the 14 patients on long-term bisphosphonates or selective estrogen receptor modulators showed no significant change [66]. Expectation and reporting bias do not apply to a densitometric measurement, and regression to the mean or systematic drift of the densitometric equipment would be expected to act similarly in both subgroups, whereas a response that is absent precisely where bone remodeling has been pharmacologically suppressed is more readily reconciled with an effect on remodeling itself. This reasoning should not be overstated: the subgroups were not randomly formed and differ in disease severity and treatment history, the study was uncontrolled and unblinded, and neither a sample-size calculation nor confidence intervals were reported. The observation is therefore hypothesis-generating rather than confirmatory. It nevertheless illustrates the kind of internal, mechanistically informed contrast that can constrain the interpretation of uncontrolled data, and it identifies concurrent antiresorptive therapy as a variable that future trials should record and, where appropriate, stratify for.
Veterinary studies offer a complementary perspective because their functional outcomes are less dependent on direct patient reporting. Controlled studies in dogs with osteoarthritis have reported improvements in gait-related parameters and functional measures after treatment [45,46]. A single uncontrolled case report additionally describing sustained improvement in one dog over a nine-year follow-up [67]. These observations support further investigation of objectively measurable functional responses. Nevertheless, animal studies remain subject to potential allocation, handling, observer and analysis effects, as well as variation in experimental conditions. They also do not by themselves determine whether an observed response is related specifically to the resonance condition, to another component of the electromagnetic exposure or to a broader biological response. One study in an experimentally induced animal model provides the only sham-controlled structural data currently available. In a rabbit model of post-traumatic knee osteoarthritis induced by transection of the anterior cruciate ligament, animals were randomized to exposure or to a sham procedure in which control animals were sedated and positioned in the same way without exposure, and the joints were graded by two independent, blinded investigators. When exposure was started six weeks after surgery, the median macroscopic osteoarthritis score was lower than in the corresponding controls (4 versus 8; p < 0.01), with significant differences for osteophyte formation, fibrillation and joint effusion but not for ulceration; when exposure was started twelve weeks after surgery, no difference was found. Histological grading according to the Mankin score showed no significant difference at either time point [68]. This design addresses several limitations of the clinical literature, as the endpoints are structural, the assessment was blinded and a sham condition was included. The dissociation between macroscopic and histological outcomes, the small group sizes of four to eight animals and the dependence on the timing of the intervention nevertheless limit the conclusions that can be drawn. The interval between injury and exposure is thereby identified as a variable that may determine responsiveness and that future studies should address explicitly.
Taken together, the clinical literature indicates favorable reported tolerability and potential clinical benefit across several musculoskeletal indications. The positive findings are encouraging, while their strength and consistency vary according to indication, study design and outcome measure. The mixed result of the placebo-controlled knee-osteoarthritis trial, the generally small study populations and the contribution of subjective endpoints and multimodal treatment settings underline the need for further methodologically rigorous evaluation. The current evidence therefore supports continued clinical investigation but does not yet permit a uniform estimate of efficacy across the studied indications.
Future clinical studies should be adequately powered and prospectively registered, with credible sham procedures, allocation concealment, blinded outcome assessment, standardized co-interventions and predefined primary endpoints. Patient-reported outcomes should be complemented by objective functional, biomechanical, imaging or biochemical measures where appropriate. Complete reporting of the defining exposure parameters, appropriate adjustment for baseline differences and independent replication will be important for establishing the robustness and clinical relevance of the observed effects.
Compared with the clinical literature, the experimental literature describes a more convergent pattern of biological responses. Multiple in vitro and ex vivo studies have reported modulation of inflammatory pathways, including reduced activation of NF-κB signaling and decreased expression of pro-inflammatory cytokines and matrix-degrading enzymes in chondrocytes and chondrosarcoma cells [31,33]. Reported effects on NF-κB have not been uniform, however: in one study NF-κB1 transcript levels were reduced whereas an NF-κB reporter construct showed increased activity after exposure [30]. These findings are complemented by observations of preserved viability with a tendency towards increased proliferation and of altered extracellular-matrix-related processes [28,29]. While such results do not directly translate into clinical outcomes, they indicate structured and reproducible cellular responses rather than nonspecific cellular stress.
A second recurring theme concerns cellular metabolism and mitochondrial function. Experimental systems have demonstrated changes in ATP availability [31] and shifts in metabolic pathways and mitochondrial activity under stress conditions [35]. These effects are consistent with modulation of cellular energy balance and may be particularly relevant in tissues characterized by limited oxygen availability, chronic inflammatory stress or impaired metabolic homeostasis [32,34,35,36]. As with the inflammatory findings, these observations support biological plausibility but do not establish causality in vivo.
Redox regulation represents a further area of convergence and may be particularly relevant for linking weak physical perturbations to cellular signaling. Several studies have reported changes in reactive oxygen species (ROS) dynamics and redox-sensitive pathways, including normalization of NAD⁺/NADH balance and modulation of oxidative stress responses [32,35,36]. In some cases, the observed effects appear to depend on specific ROS species, suggesting involvement of defined redox-active intermediates rather than nonspecific cellular stress [35,36]. These observations are particularly relevant in the context of weak-field interactions because redox chemistry provides one possible interface between physical perturbation and intracellular signaling pathways [69,70,71,72].
Additional experimental work suggests effects on neuronal support and regeneration, including enhanced neurite outgrowth and modulation of Schwann-cell-related processes [73,74]. Such findings may be relevant for conditions involving nerve irritation or injury, although their contribution to clinical outcomes remains to be established. Similarly, reports of epigenetic modulation and circadian gene regulation indicate that the biological response may extend beyond acute signaling events and include longer-term regulatory adaptations [32,33,34,36].
Despite recurring patterns of biological response, direct comparison across the experimental literature is limited by the relatively small number of studies and heterogeneous or incompletely reported exposure protocols. Most studies used magnetic-field strengths of approximately 0.4 mT with radiofrequency excitation near 16–18 kHz [32,34,35,36,73,74]. In addition, two studies operated in a distinct parameter regime, using 0.23 mT with radiofrequency excitation near 100 kHz [31,33]. A quasi-static field of 4 mT together with a 1 mT field at approximately 100 kHz has also been reported [29]. In these three reports the stated magnetic-field strength and the stated radiofrequency do not correspond to a common proton-resonance condition, since at 0.23 mT the proton Larmor frequency is approximately 9.8 kHz and at 4 mT approximately 170 kHz, whereas 100 kHz corresponds to approximately 2.35 mT. All field parameters are reproduced here as published, and the discrepancy cannot be resolved from the available reports. The studies that applied approximately 0.4 mT with excitation near 16–18 kHz were all published in 2019 or later. Two studies did not report field parameters at all [28,30]. Sweep-field amplitude, radiofrequency-field amplitude, resonance-crossing duration and detailed cyclic adiabatic-passage timing were often not reported. Notably, only two studies included a control condition in which the field was applied without radiofrequency excitation [28,29]; in the remaining studies the control cultures were handled outside the device or placed at a distance from it, so that resonance-specific effects cannot be separated from nonspecific effects of the exposure procedure. Exposure schedules ranged from single treatments of 1–6 hours to repeated daily or cyclic exposure-recovery protocols extending over several days [28,29,30,31,32,33,34,35,36,73,74] (Table 1). Future studies should therefore report all field components, sample position, exposure and recovery periods, cumulative treatment duration, environmental conditions and endpoint timing, and should directly compare exposure schedules to identify the parameters associated with reproducible biological responses.
Taken together, the combined clinical and experimental evidence provides a complementary but incomplete picture. Clinically, published studies indicate favorable reported tolerability and potential improvements in several relevant outcomes, although the magnitude and consistency of these effects require further evaluation [22,23,24,25,26,27,45,46,59,60,61,62,63]. At the experimental level, multiple studies report responses involving inflammatory signaling, metabolism, mitochondrial function and redox regulation [30,31,32,33,34,35,36]. These findings provide a basis for more targeted investigation of the physical and biological variables that determine responsiveness. Establishing how the applied exposure conditions are transmitted into cellular responses, and how these responses relate to clinical outcomes, remains the central mechanistic challenge.
5. The Mechanistic Gap
The mechanism of low-field NMR-based stimulation remains unresolved because the physical interaction and the reported biological responses are described at different organizational levels. The physical interaction is defined by nuclear spin dynamics, cyclic adiabatic passage and relaxation behavior, whereas the biological effects reported in experimental studies involve intracellular signaling, metabolism, mitochondrial function and redox regulation. Two broader mechanistic gaps require separate consideration, and each comprises more than one distinct question.
The first unresolved issue concerns the spatial relationship between the relaxation-weighted physical interaction and the biological responses. As discussed above, the tissue-dependent distribution of low-field NMR-based stimulation is expected to be strongly shaped by relaxation behavior, particularly by differences in longitudinal relaxation time (T1) [37,38,39]. In biological tissues, relaxation properties depend on water organization, molecular mobility and macromolecular composition, especially within extracellular, pericellular and extracellular-matrix-associated compartments [37,47,52,53,54]. Water populations associated with collagen-rich matrices, hydration layers and restricted extracellular environments contribute substantially to the relaxation landscape that determines how the applied perturbation is distributed in space and time. Consequently, the weighting effects introduced by cyclic adiabatic passage and T1-dependent relaxation could be influenced strongly by extracellular and matrix-associated proton environments.
In contrast, the intracellular environment may be less heterogeneous with respect to some of the relaxation-related features discussed in the preceding sections. Although intracellular water is not physically uniform, it lacks the highly structured extracellular-matrix-associated bound-water compartments that are thought to contribute strongly to the observed heterogeneity in relaxation behavior [37,52,54]. This raises the hypothesis that some of the tissue-specific differences shaping the physical interaction may originate predominantly outside the cell. Importantly, this represents a working hypothesis rather than an established site of biological transduction; intracellular, membrane-associated and other proton environments may also contribute to the biologically relevant interaction.
The extracellular-weighting hypothesis creates a spatial transduction problem. In this model, the physical perturbation described in Section 1 and Section 3 is substantially shaped by extracellularly weighted relaxation dynamics, whereas the biological responses summarized in Section 4 are predominantly intracellular. Many of the reported responses involve intracellular processes, including NF-κB signaling, calcium regulation, mitochondrial function, ATP homeostasis, ROS dynamics and circadian gene regulation [30,31,32,33,34,35,36]. Even findings that appear extracellular at the phenomenological level—including reported changes in collagen network organization, extracellular matrix structure and cartilage-related tissue properties—ultimately imply intracellular transduction, because the observed effects are associated with altered chondrocyte, osteoblast and fibroblast activity, inflammatory signaling, matrix-regulating pathways and cellular metabolic responses rather than direct physicochemical modification of the extracellular matrix itself [28,29,30,31]. At present, it remains unclear how a distributed perturbation that may be weighted toward extracellular, pericellular and extracellular-matrix-associated proton environments is translated into coherent intracellular responses.
This problem cannot be resolved simply by invoking distributed field exposure. The applied electromagnetic fields interact with proton spins throughout the tissue volume, including both extracellular and intracellular compartments. However, within the proposed relaxation-weighting model, the central issue is not whether intracellular spins participate in the interaction, but whether the tissue-selective weighting introduced by relaxation dynamics originates predominantly from extracellular microstructure. If this is the case, the key mechanistic question becomes how extracellularly weighted physical perturbations are converted into intracellular signaling responses. Alternatively, biologically relevant transduction could arise at membrane-associated or intracellular proton environments, or through other electrochemical or spin-sensitive processes. These possibilities remain experimentally distinguishable hypotheses.
The second unresolved issue concerns how a weak, distributed physical perturbation gives rise to specific and measurable biological responses. Low-field NMR-based stimulation does not provide discrete molecular targeting. The physical interaction is spatially distributed and graded, reflecting overlapping relaxation environments rather than sharply defined cellular targets [55,56,57,58]. Yet the reported biological effects are not random or nonspecific. Instead, they converge on defined intracellular pathways, including redox regulation, inflammatory signaling and metabolic adaptation [30,31,32,33,34,35,36]. The emergence of such structured responses from a diffuse and spatially distributed physical interaction therefore remains unexplained.
This specificity problem is closely linked to biochemical amplification. The interaction occurs in a non-thermal regime, and the energy associated with nuclear spin transitions at millitesla field strengths is far below thermal energy [41]. Direct energetic forcing of biochemical reactions is therefore unlikely. Any measurable biological effect would therefore require a transduction step and subsequent amplification within the biological system. Stress-response pathways, redox networks, mitochondrial metabolism and inflammatory signaling represent candidate amplification systems because they contain thresholds, feedback loops and nonlinear regulatory motifs [71,72,75,76,77]. Such systems can convert small perturbations into defined downstream responses if the perturbation shifts the system across a regulatory threshold or alters the balance between competing states.
One possible explanation is that specificity and amplification arise primarily from the organization of the biological system receiving the perturbation rather than from the physical interaction itself. In this view, the applied fields impose a weak and spatially distributed input, whereas cellular networks determine whether and how that input is amplified. Cells or tissues experiencing inflammatory, metabolic, hypoxic or oxidative stress may be closer to regulatory thresholds and therefore more responsive than cells in stable baseline states [75,76]. This possibility may help explain why reported responses frequently involve stress-related pathways, although it does not identify the primary transduction mechanism.
Spin-dependent chemical reactions, including radical-pair mechanisms, provide one potential route by which weak magnetic perturbations could influence biochemical systems without substantial energy transfer [78,79,80,81,82,83,84,85]. Such mechanisms can affect reaction outcomes by altering the spin dynamics of radical-pair intermediates. Experimental observations involving ROS modulation and redox-sensitive responses are compatible with this possibility [36,69,70,72,81]. However, compatibility does not establish causality. The relevance of radical-pair or related spin-dependent mechanisms to low-field NMR-based stimulation remains hypothetical, and the mechanistic bridge between nuclear-spin perturbation and electron-spin chemistry has not yet been demonstrated experimentally. Other candidate routes include proton- or water-dependent processes, membrane-associated electrochemical interactions and intracellular spin-sensitive reactions. At present, there is insufficient evidence to assign any of these possibilities a primary role.
These mechanistic issues are related but can be distinguished conceptually. Under the extracellular-weighting hypothesis, spatial transduction concerns how an extracellularly shaped perturbation reaches intracellular pathways. Physical-to-biochemical transfer concerns how a physical spin-level perturbation could trigger any biochemical change. Biological specificity concerns which cellular pathways or response programs are engaged, whereas amplification concerns how a small biochemical perturbation develops into a measurable biological response. These processes may overlap, but each addresses a different part of the mechanism. A complete mechanism must account for all of them.
These gaps do not necessarily imply the existence of a single missing mechanism. Rather, they suggest that the overall response may involve a sequence of separable processes linking physical distribution, spatial transduction, physical-to-biochemical transfer, state-dependent pathway-specific cellular responsiveness and intracellular amplification. The following section proposes a framework in which these processes and competing hypotheses can be investigated experimentally.
6. Mechanistic Framework and Testable Hypotheses
A mechanistic framework for low-field NMR-based stimulation should not treat the unresolved questions outlined above as a single process. Instead, the interaction can be decomposed into linked but separable aspects. We propose five levels of interaction: relaxation-weighted distribution of the physical perturbation; spatial transduction from extracellular or pericellular environments to intracellular regulatory systems; physical-to-biochemical transfer; state-dependent pathway-specific cellular responsiveness; and amplification into measurable biological outcomes. These levels provide a structure for experimental investigation and mechanistic testing.
In the first step, the applied fields generate a weak, spatially distributed and temporally structured perturbation, whose effective tissue weighting is expected to be shaped by cyclic adiabatic passage, the timing of repeated excitation–relaxation cycles and the tissue’s relaxation properties. Within this framework, T1 does not act as a direct biological effector. Rather, it functions as a distributional parameter that weights tissue environments according to their relaxation properties. Because relaxation behavior in tissues depends on water organization, molecular mobility and macromolecular composition, extracellular and pericellular environments are likely to contribute substantially to the spatial weighting of the interaction [37,47,52,53,54]. The physical interaction should therefore be viewed as a relaxation-weighted perturbation of heterogeneous tissue environments rather than selective targeting of a specific molecular structure.
The second step concerns spatial transduction from the extracellular or pericellular environment to intracellular signaling systems. If the initial weighting of the perturbation is strongly influenced by extracellular water organization, matrix-associated water, hydration layers or restricted interstitial compartments, the central question becomes how such perturbations are transmitted across the cell boundary. Potential interfaces include membrane-associated signaling complexes, ion channels, membrane potential, pericellular ion distributions, cytoskeletal coupling and redox-sensitive membrane-proximal processes [70,81,86,87,88]. These interfaces are well positioned to relay weak extracellular or pericellular perturbations to intracellular signaling systems and thereby potentially contribute to changes in calcium signaling, redox state, mitochondrial activity or inflammatory signaling. Within this framework, low-field NMR-based stimulation does not require direct and selective targeting of intracellular molecules. Instead, the perturbation may be shaped outside or at the boundary of the cell and subsequently relayed through established cellular transduction systems. However, this represents one working hypothesis, and biologically relevant interactions could also arise from membrane-associated or intracellular proton environments.
The third step concerns physical-to-biochemical transfer. The central question is how a perturbation of nuclear-spin dynamics could influence biochemical processes. Low-field NMR-based stimulation operates in a non-thermal regime, and the energy associated with nuclear spin transitions at millitesla field strengths is far below thermal energy. Direct energetic forcing of biochemical reactions is therefore unlikely. A mechanism is therefore required that links the physical spin-level perturbation to changes in biochemical reaction dynamics. Spin-dependent biochemical mechanisms, including radical-pair processes or other redox-associated spin-sensitive reactions, represent one possible route for such transfer [78,79,80,81,82,83,84,85]. In these mechanisms, weak magnetic perturbations influence reaction probabilities rather than supply reaction energy. The reported changes in ROS dynamics, NAD⁺/NADH balance and superoxide-dependent responses are compatible with this possibility [36,69,70,72,81]. Other possible routes may involve proton- or water-dependent processes, membrane-associated electrochemical interactions or intracellular spin-sensitive reactions.
The fourth step concerns biological specificity. Low-field NMR-based stimulation is not expected to provide discrete molecular targeting. The physical input is weak, distributed and graded, yet the reported biological effects are structured rather than random. Specificity may therefore arise primarily from the organization and physiological state of the responding biological system rather than from precise molecular targeting by the applied field. Cells under inflammatory, metabolic, hypoxic or oxidative stress may be closer to regulatory thresholds and therefore more responsive than cells in stable homeostatic states [75,76]. Such a model is consistent with the observation that reported effects frequently involve stress-related pathways, including NF-κB- and ROS-dependent signaling [30,31,32,33,34,35,36].
The fifth step concerns amplification. If the physical perturbation is transferred into a biochemical change, measurable biological effects would still require amplification within cellular regulatory networks. Redox-sensitive signaling, mitochondrial metabolism, calcium regulation, inflammatory pathways and circadian regulation represent plausible downstream systems because they contain feedback loops, thresholds and nonlinear dynamics [71,72,75,76,77]. In such systems, relatively small perturbations may alter the balance between competing states and thereby produce disproportionately large downstream effects. In this interpretation, the applied fields do not directly target these pathways. Rather, a weak biochemical perturbation may be subsequently amplified by cellular stress-response and metabolic networks.
This framework generates several experimentally testable hypotheses.
First, if tissue relaxation dynamics primarily determine the distribution of the perturbation, controlled modification of extracellular matrix composition, hydration state or tissue microstructure should alter the biological response in predictable ways. Experimental manipulation of extracellular water organization or matrix-associated proton environments could therefore be used to test whether relaxation-weighted extracellular coupling is mechanistically relevant.
Second, if transduction between extracellular and intracellular compartments represents a critical intermediate step, disruption of candidate coupling pathways should attenuate the observed effects. This could be investigated by selectively interfering with membrane potential, cytoskeletal coupling, ion channels or extracellular-matrix interactions while maintaining identical physical stimulation conditions.
Third, if cellular state determines biological specificity, stressed and unstressed cells should respond differently to the same exposure protocol. This could be tested by comparing basal conditions with defined system-level alterations such as changes in metabolic state, age, environmental conditions or stress. A state-dependent response would support the concept that the field does not act as a universal stimulus but instead interacts with pre-existing regulatory conditions.
Fourth, if redox-sensitive amplification contributes to the response, manipulation of ROS-generating systems or redox-buffering capacity should modify the biological outcome. This could be tested using ROS scavengers, enzymatic antioxidant systems or other antioxidant agents [89,90,91,92,93,94]. It could also be tested using inhibitors of mitochondrial ROS production, NADPH oxidase inhibitors, modulation of glutathione buffering or genetically encoded redox sensors. If the response depends on specific ROS sources or redox states, this would support a model in which a weak biochemical perturbation is amplified through redox-sensitive signaling. Time-resolved measurements will be particularly important because transient ROS, NAD⁺/NADH or mitochondrial changes may occur before slower transcriptional or inflammatory responses become detectable.
Fifth, if spin-dependent processes contribute to physical-to-biochemical transfer, altering the spin properties of the system should affect the biological outcome. Experimental approaches could include isotopic substitution, manipulation of radical lifetimes or pharmacological modulation of ROS-generating systems [78,95,96]. Such experiments would not by themselves prove a radical-pair mechanism, but they could provide evidence supporting or arguing against spin-dependent transfer between the physical perturbation and biochemical reaction dynamics as part of the response to low-field NMR-based stimulation.
Recent studies provide experimental support for investigating such spin-dependent processes. Magnetic-resonance control of electron-spin-dependent radical-pair chemistry has been demonstrated in biological protein systems, including an engineered system in living Caenorhabditis elegans (C. elegans) [97,98]. Complementary isotope studies have reported chemical or biological effects consistent with a contribution of nuclear-spin properties [99,100]. These findings provide proof of principle that spin-dependent biochemical effects can be experimentally tested in biological systems.
Sixth, if the temporal structure of stimulation is mechanistically relevant, biological responses should depend on cycle timing rather than only on total exposure duration or field strength. Systematic variation of excitation–relaxation timing should reveal parameter windows in which biological responses are enhanced, reduced or absent. These experiments should be paired with time-resolved measurements of ROS dynamics, mitochondrial activity, calcium signaling and stress-pathway activation. A nonlinear relationship between cycle timing and biological response would support the concept that stimulation interacts with intrinsic relaxation and regulatory dynamics rather than acting as a simple cumulative exposure.
Irrespective of which hypothesis is addressed first, a common minimum set of controls applies to all of these experiments. Each study should include a concurrent sham exposure in which the device is present but the resonance condition is not established; complete reporting of all field components, sample position and temperature; controlled and monitored environmental conditions, including ambient magnetic fields; predefined quantitative endpoints with adequate biological and technical replication; and blinded analysis. Where a resonance-specific effect is claimed, parameter-dependent controls are additionally required, for example detuning the radiofrequency excitation away from the proton Larmor frequency or varying the static field while keeping all other exposure components constant, so that resonance-specific effects can be distinguished from nonspecific electromagnetic exposure. The order in which the hypotheses are addressed will depend on the biological model, the available instrumentation and the methodological expertise of the respective group; the framework is therefore deliberately not ranked by priority.
Together, these hypotheses separate the proposed mechanism into experimentally testable levels: relaxation-dependent distribution of the physical perturbation, transmission across the extracellular–intracellular boundary, physical-to-biochemical transfer, biological specificity and amplification. Such an approach would move the field beyond descriptive endpoint studies and enable direct testing of how low-field NMR-based stimulation is converted into biological effects. The central objective should be to establish predictive relationships between stimulation parameters, tissue relaxation behavior, cellular state and downstream biological responses.
7. Conclusions
Low-field NMR-based stimulation represents a distinct approach within non-invasive biophysical therapies, intended to establish resonance-based interaction with hydrogen nuclei in biological tissue in the millitesla and kilohertz range. Compared with optical or mechanically mediated modalities, its magnetic-field components are less constrained by tissue scattering, absorption and impedance-related barriers, enabling distributed exposure across extended anatomical volumes [10,11,12,13,14,15]. The physical exposure can be described in terms of cyclic adiabatic passage and longitudinal relaxation, with temporal structure and relaxation dynamics determining how the applied perturbation is distributed across heterogeneous tissue environments.
The available evidence indicates favorable reported tolerability together with reported clinical and biological effects across multiple experimental systems and several clinical settings [9,18,19,22,23,24,25,26,27,59,60,61,62,63]. Clinical studies have reported improvements in pain, function, quality of life and related outcomes, although the strength and consistency of these findings vary according to indication, study design and endpoint. Larger, methodologically standardized and independently replicated studies will be important for defining the magnitude and clinical relevance of these effects. Experimental studies have additionally reported responses involving inflammatory, metabolic, mitochondrial and redox-sensitive pathways [30,31,32,33,34,35,36]. The mechanistic relationship connecting the physical exposure to these cellular responses remains to be established.
A central conclusion emerging from this review is that the unresolved mechanism should not be viewed as a single missing link. Rather, several distinct mechanistic questions need to be addressed. Spatial transduction concerns where and how the physically distributed perturbation is transmitted to intracellular response systems, particularly under the hypothesis that relaxation weighting is influenced strongly by extracellular or pericellular tissue properties. Physical-to-biochemical transfer concerns how a perturbation of nuclear-spin dynamics could influence biochemical processes. Biological specificity concerns what determines which cellular pathways or response programs are engaged, whereas amplification concerns how a weak biochemical perturbation develops into a measurable biological response.
The mechanistic framework proposed here decomposes the possible mechanism into linked but experimentally separable levels: physical distribution of the perturbation; spatial transduction from extracellular or pericellular environments to intracellular pathways; physical-to-biochemical transfer; state-dependent biological specificity; and amplification. Within this framework, the reported biological responses would not result from direct energy deposition or selective targeting of a single pathway. Instead, several possible routes may link the physical perturbation to biochemical processes, including spin-sensitive reactions, proton- or water-dependent processes and membrane-associated electrochemical interactions. If such transfer occurs, subsequent biological responses may be shaped and amplified by endogenous stress-response and metabolic networks.
Future progress will depend on experimentally separating these levels of interaction rather than inferring mechanisms solely from endpoint responses. Particularly important will be studies that relate stimulation parameters to tissue relaxation behavior, extracellular microstructure, cellular state, candidate physical-to-biochemical transfer processes and downstream pathway responses. Experimental approaches targeting extracellular matrix organization, candidate transduction pathways, state-dependent responsiveness, spin-dependent biochemical processes and redox-sensitive amplification systems may help establish whether predictive relationships exist between physical exposure and biological outcomes.
Establishing these mechanistic relationships is important not only for evaluating the therapeutic potential of low-field NMR-based stimulation but also for advancing the broader understanding of how weak, time-structured electromagnetic perturbations interact with complex biological systems.
8. Expert Opinion
Low-field NMR-based stimulation occupies a distinctive position in biophysical medicine. Its exposure conditions can be defined using established physical principles, including resonance conditions, cyclic adiabatic passage and relaxation-dependent perturbation of heterogeneous tissues [39,41,42,43,44,45,46,47,48,49,50]. The available clinical literature indicates favorable reported tolerability and encouraging outcome signals in several musculoskeletal indications, while the current evidence base remains heterogeneous and requires confirmation in larger standardized studies. Experimental investigations have reported reproducible responses involving inflammatory regulation, mitochondrial function, metabolism and redox-sensitive signaling [30,31,32,33,34,35,36,73,74]. Establishing how these physical, biological and clinical levels are connected represents the central challenge for the field.
From a pragmatic experimental perspective, the most important next step is not the continued accumulation of endpoint observations but systematic mechanistic dissection of the proposed interaction levels. The experimentally testable hypotheses outlined in this review are unlikely to be resolved efficiently in conventional isolated cell-culture models alone. Although such systems are valuable for dissecting individual pathways, they cannot fully capture organism-level variables such as metabolic state, aging, stress history or functional recovery. Progress will therefore require experimental systems that combine controlled exposure conditions with systems-level integration, pathway-level analysis and functional readouts within intact biological organisms.
Whole-organism models such as C. elegans may be particularly valuable in this context. The entire organism can be exposed under controlled conditions while functional outcomes such as movement, neuronal function, stress resistance and recovery following defined perturbations are quantified. Simultaneously, responses in specific cell types and tissues can be monitored, alterations in extracellular matrix organization can be assessed, and mitochondrial, redox and conserved stress-response pathways can be genetically manipulated or followed using reporter systems [12,101,102,103,104]. Such models make it possible to determine whether specific pathways are required for the response, whether molecular changes translate into functional benefit, and how organismal state influences responsiveness.
A central conceptual question is whether a unifying mechanism exists. Current evidence does not support a model based on selective interaction with a single intracellular molecular target. A more plausible working hypothesis is that low-field NMR-based stimulation introduces a weak and broadly distributed physical perturbation that, under appropriate biological conditions, is translated into a specific cellular response through a yet unknown spin-sensitive or other transduction mechanism. These initial changes would subsequently require amplification by cellular regulatory networks before measurable effects on mitochondrial function, inflammatory signaling, metabolic adaptation, circadian regulation or tissue remodeling become detectable.
This framework may help explain why reported responses repeatedly converge on pathways associated with stress adaptation and recovery despite physically weak and spatially distributed exposure conditions. It may also explain the apparent state dependence observed across many experimental systems, where stressed, inflamed, degenerating or metabolically challenged biological systems appear more responsive than stable baseline conditions. However, this interpretation remains a working hypothesis and requires direct experimental validation.
This distinction is particularly important for future mechanistic research. The current literature on low-field NMR-based stimulation remains strongly influenced by redox-centered explanatory models because ROS dynamics, mitochondrial signaling and radical-sensitive pathways represent some of the earliest experimentally accessible observations. However, evidence for redox involvement does not by itself establish a radical-pair mechanism or any other spin-dependent process. Future work should therefore test competing routes of physical-to-biochemical transfer, including whether proton or water environments, membrane-associated processes, spin properties, radical lifetimes or isotopic substitution influence biological responsiveness. Manipulation of redox-buffering capacity and ROS-generating systems can additionally test whether redox pathways contribute to subsequent amplification. Such experiments would help clarify how the physical perturbation is linked to biochemical processes and whether observed redox changes participate in this transfer or instead represent downstream consequences of broader cellular adaptation.
Clinically, the future relevance of low-field NMR-based stimulation will depend on defining the indications, patient groups, tissue states and anatomical contexts in which the observed responses are most robust. Deep musculoskeletal compartments, metabolically stressed tissues, chronic inflammatory states and impaired regenerative environments may represent particularly informative settings for further investigation. Clinical studies should combine mechanistically informed patient stratification with standardized exposure protocols, credible control conditions, quantitative biomarkers, objective functional measures and longitudinal follow-up. Such studies would help determine whether treatment parameters can be adapted to tissue characteristics and biological state and whether the reported outcome signals translate into reproducible clinical benefit.
The long-term development of the field could potentially move toward a more precision-oriented rehabilitation medicine rather than conventional symptomatic physical therapy, with stimulation parameters adapted to tissue composition, extracellular microstructure, metabolic state and biological responsiveness rather than applied as generalized empirical protocols.
More broadly, the scientific significance of low-field NMR-based stimulation may extend beyond the technology itself. If elements of the proposed mechanistic framework are supported experimentally, the field could contribute to a broader understanding of how weak, temporally structured and spatially distributed non-thermal physical perturbations interact with complex biological systems. Such a perspective would place low-field NMR-based stimulation within a wider emerging framework of biophysical regulation therapies that operate not primarily through direct energetic forcing but through modulation of dynamic biological states.
Author Contributions
Conceptualization, L.K., C.S. and C.N.-K.; methodology, L.K., C.S. and C.N.-K.; software, n.a.; validation, L.K., C.S. and C.N.-K.; formal analysis, L.K., C.S. and C.N.-K.; investigation, L.K., C.S. and C.N.-K.; resources, L.K., C.S. and C.N.-K.; data curation, L.K., C.S. and C.N.-K.; writing—original draft preparation, C.S.; writing—review and editing, L.K. and C.N.-K.; visualization, n.a.; supervision, C.S.; project administration, L.K., C.S. and C.N.-K.; funding acquisition, n.a. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Institutional Review Board Statement
Not applicable.
Informed Consent Statement
Not applicable.
Data Availability Statement
No new data were generated or analyzed in support of this review article. All information discussed is derived from previously published studies cited in the manuscript. Generative AI Statement: During the preparation of this manuscript, the authors used ChatGPT (OpenAI; GPT-5.5) and Claude (Anthropic; claude-opus-5) for language editing, improving clarity, shortening text, refining structure, and translating publications not written in English during the literature search. All AI-assisted text was critically reviewed, edited, and approved by the authors, who take full responsibility for the content of the manuscript.
Conflicts of Interest
L.K. has no relevant conflicts of interest to declare. C.S. serves as a consultant for MBST Health Limited (Grantham, Lincolnshire, UK), a company partially owned by Lifco AB (Enköping, Sweden). Lifco AB is the parent company of MedTec Medizintechnik GmbH (Gießen, Germany), the inventor, manufacturer and distributor of low-field NMR-based stimulation devices. He receives payment for consultancy or lectures. Furthermore, he served until December 2017 and again between July 2024 and November 2025 as a consultant for Electro Medical Systems (Nyon, Switzerland), the inventor, manufacturer and distributor of certain extracorporeal shock wave therapy and near-infrared laser therapy devices. C.N.-K. has a research grant from MedTec Medizintechnik GmbH to conduct basic research on low-field NMR-based stimulation. However, MBST Health Limited, Lifco AB, MedTec Medizintechnik GmbH and Electro Medical Systems had no role in the design of the study, collection, management, analysis or interpretation of the data, preparation of the manuscript, or the decision to submit the manuscript for publication. The authors otherwise declare no other relevant affiliations or financial involvement with any organization or entity with a financial interest in, or financial conflict with, the subject matter or materials discussed in this manuscript. This includes employment, consultancies, honoraria, stock ownership or options, expert testimony, grants or patents received or pending, or royalties.
Abbreviations
The following abbreviations are used in this manuscript:
| NMR | Nuclear magnetic resonance |
| T1 | Longitudinal relaxation time |
| PEMF | Pulsed electromagnetic field |
| NMRT | Nuclear magnetic resonance therapy |
| MBST | Molecular biophysical stimulation therapy |
| MRI | Magnetic resonance imaging |
| mT | Millitesla |
| ROS | Reactive oxygen species |
Papers of special note have been highlighted as either of interest (*) or of considerable interest (**) to readers.
References
- Hartvigsen, J.; Hancock, M.J.; Kongsted, A.; Louw, Q.; Ferreira, M.L.; Genevay, S.; Hoy, D.; Karppinen, J.; Pransky, G.; Sieper, J.; Smeets, R.J.; Underwood, M. What low back pain is and why we need to pay attention. Lancet 2018, 391, 2356–2367. [Google Scholar] [CrossRef]
- Williams, A.; Kamper, S.J.; Wiggers, J.H.; O’Brien, K.M.; Lee, H.; Wolfenden, L.; Yoong, S.L.; Robson, E.; McAuley, J.H.; Hartvigsen, J.; Williams, C.M. Musculoskeletal conditions may increase the risk of chronic disease: A systematic review and meta-analysis of cohort studies. BMC Med. 2018, 16, 167. [Google Scholar] [CrossRef]
- GBD 2021 Other Musculoskeletal Disorders Collaborators. Global, regional, and national burden of other musculoskeletal disorders, 1990–2020, and projections to 2050: A systematic analysis of the Global Burden of Disease Study 2021. Lancet Rheumatol. 2023, 5, e670–e682. [Google Scholar] [CrossRef]
- Iatridis, J.C.; MacLean, J.J.; Roughley, P.J.; Alini, M. Effects of mechanical loading on intervertebral disc metabolism in vivo. J. Bone Jt. Surg. Am. 2006, 88 (Suppl. 2), 41–46. [Google Scholar] [CrossRef]
- Hunter, D.J.; Bierma-Zeinstra, S. Osteoarthritis. Lancet 2019, 393, 1745–1759. [Google Scholar] [CrossRef] [PubMed]
- Tong, L.; Yu, H.; Huang, X.; Shen, J.; Xiao, G.; Chen, L.; Wang, H.; Xing, L.; Chen, D. Current understanding of osteoarthritis pathogenesis and relevant new approaches. Bone Res. 2022, 10, 60. [Google Scholar] [CrossRef]
- Dieppe, P.A.; Lohmander, L.S. Pathogenesis and management of pain in osteoarthritis. Lancet 2005, 365, 965–973. [Google Scholar] [CrossRef]
- Paolucci, T.; Pezzi, L.; Centra, A.M.; Giannandrea, N.; Bellomo, R.G.; Saggini, R. Electromagnetic field therapy: A rehabilitative perspective in the management of musculoskeletal pain—A systematic review. J. Pain Res. 2020, 13, 1385–1400. [Google Scholar] [CrossRef]
- Žnidarič, M.; Kozinc, Ž.; Škrinjar, D. Potential of molecular biophysical stimulation therapy in chronic musculoskeletal disorders: A narrative review. Eur. J. Transl. Myol. 2023, 33, 11894. [Google Scholar] [CrossRef]
- Kaub, L.; Schmitz, C. More than ninety percent of the light energy emitted by near-infrared laser therapy devices used to treat musculoskeletal disorders is absorbed within the first ten millimeters of biological tissue. Biomedicines 2022, 10, 3204. [Google Scholar] [CrossRef]
- Kaub, L.; Schmitz, C. Comparison of the penetration depth of 905 nm and 1064 nm laser light in surface layers of biological tissue ex vivo. Biomedicines 2023, 11, 1355. [Google Scholar] [CrossRef]
- Tittelmeier, J.; Kaub, L.; Milz, S.; Kugelmann, D.; Hof, P.R.; Schmitz, C.; Nussbaum-Krammer, C. Insufficient low-level near infrared light penetration challenges the efficacy of transcranial photobiomodulation. Brain Stimul. 2025, 18, 1220–1223. [Google Scholar] [CrossRef]
- Schmitz, C.; Császár, N.B.; Milz, S.; Schieker, M.; Maffulli, N.; Rompe, J.D.; Furia, J.P. Efficacy and safety of extracorporeal shock wave therapy for orthopedic conditions: A systematic review on studies listed in the PEDro database. Br. Med. Bull. 2015, 116, 115–138. [Google Scholar] [CrossRef]
- Simplicio, C.L.; Purita, J.; Murrell, W.; Santos, G.S.; dos Santos, R.G.; Lana, J.F.S.D. Extracorporeal shock wave therapy mechanisms in musculoskeletal regenerative medicine. J. Clin. Orthop. Trauma 2020, 11 (Suppl. 3), S309–S318. [Google Scholar] [CrossRef]
- De la Corte-Rodríguez, H.; Román-Belmonte, J.M.; Rodríguez-Damiani, B.A.; Vázquez-Sasot, A.; Rodríguez-Merchán, E.C. Extracorporeal shock wave therapy for the treatment of musculoskeletal pain: A narrative review. Healthcare 2023, 11, 2830. [Google Scholar] [CrossRef]
- Andrade, R.; Duarte, H.; Pereira, R.; Lopes, I.; Pereira, H.; Rocha, R.; Espregueira-Mendes, J. Pulsed electromagnetic field therapy effectiveness in low back pain: A systematic review of randomized controlled trials. Porto Biomed. J. 2016, 1, 156–163. [Google Scholar] [CrossRef]
- Hu, H.; Yang, W.; Zeng, Q.; Chen, W.; Zhu, Y.; Liu, W.; Wang, S.; Wang, B.; Shao, Z.; Zhang, Y. Promising application of pulsed electromagnetic fields (PEMFs) in musculoskeletal disorders. Biomed. Pharmacother. 2020, 131, 110767. [Google Scholar] [CrossRef]
- Schmidt, J.K.; Debess, J.E.; Møller, L. Magnetic resonance therapy in the treatment of osteoarthritis: A scoping review. Radiography 2021, 27, 968–975. [Google Scholar] [CrossRef]
- Krysiak-Zielonka, I. Regeneration of bone and cartilage tissue—New treatment and rehabilitation strategy. Ortop. Traumatol. Rehabil. 2024, 26, 225–232. [Google Scholar] [CrossRef]
- Gabriel, C.; Gabriel, S.; Corthout, E. The dielectric properties of biological tissues: I. Literature survey. Phys. Med. Biol. 1996, 41, 2231–2249. [Google Scholar] [CrossRef]
- Li, Y.; Chen, Z.; Liu, Y.; Liu, Z.; Wu, T.; Zhang, Y.; Peng, L.; Huang, X.; Huang, S.; Lin, X.; Xie, X.; Jiang, L. Ultra-low frequency magnetic energy focusing for highly effective wireless powering of deep-tissue implantable electronic devices. Natl. Sci. Rev. 2024, 11, nwae062. [Google Scholar] [CrossRef]
- Kullich, W.; Schwann, H.; Machreich, K.; Ausserwinkler, M. Additional outcome improvement in the rehabilitation of chronic low back pain after nuclear resonance therapy. Rheumatologia 2006, 20, 7–12. [Google Scholar]
- Kullich, W.; Schwann, H.; Walcher, J.; Machreich, K. The effect of MBST-NuclearResonanceTherapy with a complex 3-dimensional electromagnetic nuclear resonance field on patients with low back pain. J. Back. Musculoskelet. Rehabil. 2006, 19, 79–87. [Google Scholar] [CrossRef]
- Kullich, W.; Außerwinkler, M. Functional improvement in finger joint osteoarthritis with therapeutic use of nuclear magnetic resonance. Orthop. Pract. 2008, 44, 287–290. [Google Scholar]
- Kullich, W.; Overbeck, K.; Spiegel, H.U. One-year survey with multicenter data of more than 4,500 patients with degenerative rheumatic diseases treated with therapeutic nuclear magnetic resonance. J. Back. Musculoskelet. Rehabil. 2013, 26, 93–104. [Google Scholar] [CrossRef]
- Salfinger, H.; Salomonowitz, G.; Friedrich, K.M.; Hahne, J.; Holzapfel, J.; Friedrich, M. Nuclear magnetic resonance therapy in lumbar disc herniation with lumbar radicular syndrome: Effects of the intervention on pain intensity, health-related quality of life, disease-related disability, consumption of pain medication, duration of sick leave and MRI analysis. Eur. Spine J. 2015, 24, 1296–1308. [Google Scholar] [CrossRef]
- Gökşen, N.; Çaliş, M.; Doğan, S.; Çaliş, H.T.; Özgöçmen, S. Magnetic resonance therapy for knee osteoarthritis: A randomized, double-blind placebo-controlled trial. Eur. J. Phys. Rehabil. Med. 2016, 52, 431–439. [Google Scholar]
- Temiz-Artmann, A.; Linder, P.; Kayser, P.; Digel, I.; Artmann, G.M.; Lücker, P. NMR in vitro effects on proliferation, apoptosis, and viability of human chondrocytes and osteoblasts. Methods Find. Exp. Clin. Pharmacol. 2005, 27, 391–394. [Google Scholar] [CrossRef]
- Digel, I.; Kurulgan, E.; Linder, P.; Kayser, P.; Porst, D.; Braem, G.J.; Zerlin, K.; Artmann, G.M.; Artmann, A.T. Decrease in extracellular collagen crosslinking after NMR magnetic field application in skin fibroblasts. Med. Biol. Eng. Comput. 2007, 45, 91–97. [Google Scholar] [CrossRef]
- Steinecker-Frohnwieser, B.; Weigl, L.; Weberhofer, G.; Kullich, W.; Kress, H.G. The influence of nuclear magnetic resonance therapy (NMRT) and interleukin IL1-β stimulation on Cal 78 chondrosarcoma cells and C28/I2 chondrocytes. J. Orthop. Rheumatol. 2014, 1, 9. [Google Scholar] [CrossRef]
- Steinecker-Frohnwieser, B.; Kullich, W.; Mann, A.; Kress, H.G.; Weigl, L. The therapeutic nuclear magnetic resonance changes the balance in intracellular calcium and reduces the interleukin-1β induced increase of NF-κB activity in chondrocytes. Clin. Exp. Rheumatol. 2018, 36, 294–301. [Google Scholar]
- Oliva, R.; Jansen, B.; Benscheidt, F.; Sandbichler, A.M.; Egg, M. Nuclear magnetic resonance affects the circadian clock and hypoxia-inducible factor isoforms in zebrafish. Biol. Rhythm Res. 2019, 50, 739–757. [Google Scholar] [CrossRef]
- Steinecker-Frohnwieser, B.; Lohberger, B.; Eck, N.; Mann, A.; Kratschmann, C.; Leithner, A.; Kullich, W.; Weigl, L. Nuclear magnetic resonance therapy modulates the miRNA profile in human primary OA chondrocytes and antagonizes inflammation in Tc28/2a cells. Int. J. Mol. Sci. 2021, 22, 5959. [Google Scholar] [CrossRef]
- Thöni, V.; Oliva, R.; Mauracher, D.; Egg, M. Therapeutic nuclear magnetic resonance affects the core clock mechanism and associated hypoxia-inducible factor-1. Chronobiol. Int. 2021, 38, 1120–1134. [Google Scholar] [CrossRef]
- Thöni, V.; Mauracher, D.; Ramalingam, A.; Fiechtner, B.; Sandbichler, A.M.; Egg, M. Quantum based effects of therapeutic nuclear magnetic resonance persistently reduce glycolysis. iScience 2022, 25, 105536. [Google Scholar] [CrossRef]
- Thoeni, V.; Dimova, E.Y.; Kietzmann, T.; Usselman, R.J.; Egg, M. Therapeutic nuclear magnetic resonance and intermittent hypoxia trigger time dependent on/off effects in circadian clocks and confirm a central role of superoxide in cellular magnetic field effects Provides the most direct experimental link between low-field NMR-based exposure and a specific redox species, making it the strongest single piece of mechanistic evidence to date. Redox Biol. 2024, 72, 103152. [Google Scholar] [CrossRef]
- Koenig, S.H. Molecular basis of magnetic relaxation of water protons of tissue. Acad. Radiol. 1996, 3, 597–606. [Google Scholar] [CrossRef]
- Marques, J.P.; Simonis, F.F.J.; Webb, A.G. Low-field MRI: An MR physics perspective *An accessible, modern physics overview specifically framed around low-field regimes, giving readers unfamiliar with NMR physics the right entry point for the exposure conditions discussed throughout this review. J. Magn. Reson. Imaging 2019, 49, 1528–1542. [Google Scholar] [CrossRef]
- Alcicek, S.; Put, P.; Kubrak, A.; Alcicek, F.C.; Barskiy, D.; Gloeggler, S.; Dybas, J.; Pustelny, S. Zero- to low-field relaxometry of chemical and biological fluids. Commun. Chem. 2023, 6, 165. [Google Scholar] [CrossRef]
- Page, M.J.; McKenzie, J.E.; Bossuyt, P.M.; Boutron, I.; Hoffmann, T.C.; Mulrow, C.D.; Shamseer, L.; Tetzlaff, J.M.; Akl, E.A.; Brennan, S.E.; Chou, R.; Glanville, J.; Grimshaw, J.M.; Hróbjartsson, A.; Lalu, M.M.; Li, T.; Loder, E.W.; Mayo-Wilson, E.; McDonald, S.; McGuinness, L.A.; Stewart, L.A.; Thomas, J.; Tricco, A.C.; Welch, V.A.; Whiting, P.; Moher, D. The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ 2021, 372, n71. [Google Scholar] [CrossRef] [PubMed]
- Levitt, M.H. Spin Dynamics: Basics of Nuclear Magnetic Resonance; John Wiley & Sons: Chichester, West Sussex, UK, 2008. [Google Scholar]
- Brown, R.W.; Cheng, Y.C.N.; Haacke, E.M.; Thompson, M.R.; Venkatesan, R. Magnetic Resonance Imaging: Physical Principles and Sequence Design; John Wiley & Sons: Hoboken, NJ, USA, 2014. [Google Scholar]
- Abragam, A. The Principles of Nuclear Magnetism; Oxford University Press: Oxford, UK, 1961. [Google Scholar]
- Kimmich, R. NMR: Tomography, Diffusometry, Relaxometry; Springer: Berlin/Heidelberg, Germany, 2012. [Google Scholar]
- Mucha, M.; Virac, I.; Lang, C.; Wittek, K.; Tichy, A.; Bockstahler, B. Treatment of the clinical symptoms caused by osteoarthritis using nuclear magnetic resonance (MBST®) in dogs—A randomized trial. Vet. Med. Austria 2017, 104, 109. [Google Scholar]
- Huels, N.; Harms, O.; Keim, D.; Rohn, K.; Fehr, M. Treatment of the clinical symptoms of osteoarthritis in the elbow joints of dogs using nuclear magnetic resonance therapy: A randomized, double-blinded trial. Front. Vet. Sci. 2020, 7, 500278. [Google Scholar] [CrossRef]
- Bloembergen, N.; Purcell, E.M.; Pound, R.V. Relaxation effects in nuclear magnetic resonance absorption. Phys. Rev. 1948, 73, 679–712. [Google Scholar] [CrossRef]
- Garwood, M.; DelaBarre, L. The return of the frequency sweep: Designing adiabatic pulses for contemporary NMR. J. Magn. Reson. 2001, 153, 155–177, Key methodological reference for adiabatic pulse design; the specific physical technique (cyclic adiabatic passage) that underlies the exposure mechanism this review centers on.. [Google Scholar] [CrossRef]
- Kupce, E.; Freeman, R. Stretched adiabatic pulses for broadband spin inversion. J. Magn. Reson. Ser. A 1995, 117, 246–256. [Google Scholar] [CrossRef]
- Ernst, R.R.; Bodenhausen, G.; Wokaun, A. Principles of Nuclear Magnetic Resonance in One and Two Dimensions; Oxford University Press: Oxford, UK, 1990. [Google Scholar]
- Rooney, W.D.; Johnson, G.; Li, X.; Cohen, E.R.; Kim, S.G.; Ugurbil, K.; Springer, C.S., Jr. Magnetic field and tissue dependencies of human brain longitudinal ^1H₂O relaxation in vivo. Magn. Reson. Med. 2007, 57, 308–318. [Google Scholar] [CrossRef]
- Mathur-De Vré, R. The NMR studies of water in biological systems. Prog. Biophys. Mol. Biol. 1979, 35, 103–134. [Google Scholar] [CrossRef]
- Callaghan, P.T. Principles of Nuclear Magnetic Resonance Microscopy; Oxford University Press: Oxford, UK, 1993. [Google Scholar]
- Le Bihan, D. Looking into the functional architecture of the brain with diffusion MRI. Nat. Rev. Neurosci. 2003, 4, 469–480. [Google Scholar] [CrossRef]
- Kiselev, V.G.; Novikov, D.S. Transverse NMR relaxation in biological tissues. NeuroImage 2018, 182, 149–168. [Google Scholar] [CrossRef]
- Jara, H.; Sakai, O.; Farrher, E.; Oros-Peusquens, A.M.; Shah, N.J.; Alsop, D.C.; Keenan, K.E. Primary multiparametric quantitative brain MRI: State-of-the-art relaxometric and proton density mapping techniques. Radiology 2022, 305, 5–18. [Google Scholar] [CrossRef]
- Tofts, P. (Ed.) Quantitative MRI of the Brain: Measuring Changes Caused by Disease; John Wiley & Sons: West Sussex, UK, 2005. [Google Scholar]
- Gulani, V.; Seiberlich, N. Quantitative MRI: Rationale and challenges. In Advances in Magnetic Resonance Technology and Applications; Lerski, R.A., Ed.; Academic Press: London, UK, 2020; Vol. 1. [Google Scholar]
- Levers, A.; Staat, M.; van Laack, W. Analyse der Langzeiteffekte der MBST®-Kernspinresonanztherapie bei Gonarthrose [Analysis of the long-term effects of MBST® nuclear magnetic resonance therapy in knee osteoarthritis]. Orthop. Prax. 2011, 47, 536–543. [Google Scholar]
- Salomonowitz, G.; Salfinger, H.; Hahne, J.; Friedrich, M. Effekte der Kernspinresonanztherapie auf Krankenstand bei Patienten mit Nervenwurzelirritation infolge eines lumbalen Bandscheibenvorfalls [Impact of magnetic resonance therapy on sickness absence of patients with nerve root irritation following a lumbar disc problem]. Z. Orthop. Unf. 2011, 149, 575–581. [Google Scholar] [CrossRef]
- Krpan, D.; Stritzinger, B.; Lukenda, I.; Overbeck, J.; Kullich, W. Non-pharmacological treatment of osteoporosis with nuclear magnetic resonance therapy (NMR-Therapy). Period. Biol. 2015, 117, 161–165. [Google Scholar]
- Froböse, I.; Eckey, U.; Reiser, M.; Glaser, C.; Engelmaier, F.; Assheuer, J.; Breitgraf, G.; Muntermann, A. Evaluation der Effektivität dreidimensionaler pulsierender elektromagnetischer Felder der MultiBioSignalTherapie (MBST) auf die Regeneration von Knorpelstrukturen [Evaluation of the effectiveness of three-dimensional pulsating electromagnetic fields of the MultiBioSignal Therapy (MBST) in respect to the regeneration of cartilage structures]. Orthop. Prax. 2000, 36, 510–515. [Google Scholar]
- Krpan, D.; Kullich, W. Nuclear magnetic resonance therapy (MBST) in the treatment of osteoporosis: Case report study. Clin. Cases Miner. Bone Metab. 2017, 14, 235–238. [Google Scholar] [CrossRef]
- Emanuel, K.S.; Dahmen, J.; Sierevelt, I.N.; Brittberg, M.; Kerkhoffs, G.M.M.J. Regression to the mean: Statistical bias can mislead interpretation in cartilage and osteoarthritis clinics and research. Cartilage 2025, 16, 405–408. [Google Scholar] [CrossRef]
- Chen, Y.T.; Zhu, G.; Hassett, A.L.; Clauw, D.; Murphy, S.L. Considerations for issues of regression to the mean and contextual effects in clinical trials for pain in rheumatic diseases Explains a key statistical confound relevant to interpreting the largely uncontrolled clinical literature reviewed here, reinforcing why controlled trial data are needed before efficacy claims can be made. Arthritis Care Res. 2026, 78, 31–37. [Google Scholar] [CrossRef]
- Handschuh, T.; Melzer, C. Behandlung der Osteoporose mit MBST KernSpin [Treatment of osteoporosis with MBST magnetic resonance therapy]. Orthodoc 2008, 5, 1–4. (In German)**Reports an operator-independent endpoint, bone mineral density, with a built-in contrast: gains were confined to patients not on antiresorptive medication, constraining non-specific explanations more tightly than the rest of the uncontrolled clinical literature reviewed here. [Google Scholar]
- Krpan, D. MBST—nuclear magnetic resonance therapy in the treatment of osteoarthritis, the long-term follow up—case report. Biomed. J. Sci. Tech. Res. 2018, 11, 8373–8375. [Google Scholar] [CrossRef]
- Jansen, H.; Frey, S.P.; Paletta, J.; Meffert, R.H. Effects of low-energy NMR on posttraumatic osteoarthritis: Observations in a rabbit model The only sham-controlled, blinded study with structural endpoints in this review. Benefit was confined to early treatment and was not matched by a histological difference, defining both the strongest available preclinical evidence and its open questions. Arch. Orthop. Trauma Surg. 2011, 131, 863–868. [Google Scholar] [CrossRef]
- Usselman, R.J.; Chavarriaga, C.; Castello, P.R.; Procopio, M.; Ritz, T.; Dratz, E.A.; Singel, D.J.; Martino, C.F. The quantum biology of reactive oxygen species partitioning impacts cellular bioenergetics. Sci. Rep. 2016, 6, 38543. [Google Scholar] [CrossRef]
- Barnes, F.; Greenebaum, B. Role of radical pairs and feedback in weak radio frequency field effects on biological systems. Environ. Res. 2018, 163, 165–170. [Google Scholar] [CrossRef]
- Kitano, H. Systems biology: A brief overview. Science 2002, 295, 1662–1664. [Google Scholar] [CrossRef]
- Beutner, G.; Yuh, H.J.; Goldenberg, I.; Wallace, D.C.; Porter, G.A., Jr.; Moss, A.J.; Sheu, S.S. Low magnetic fields stimulate cardiac mitochondrial bioenergetics with a bell-shaped response: Possibly via a radical pair mechanism. Comput. Struct. Biotechnol. J. 2025, 30, 144–157. [Google Scholar] [CrossRef]
- Mann, A.; Steinecker-Frohnwieser, B.; Naghilou, A.; Millesi, F.; Supper, P.; Semmler, L.; Wolf, S.; Marinova, L.; Weigl, L.; Weiss, T.; Radtke, C. Nuclear magnetic resonance treatment accelerates the regeneration of dorsal root ganglion neurons in vitro. Front. Cell. Neurosci. 2022, 16, 859545. [Google Scholar] [CrossRef]
- Rad, A.; Weigl, L.; Steinecker-Frohnwieser, B.; Stadlmayr, S.; Millesi, F.; Haertinger, M.; Borger, A.; Supper, P.; Semmler, L.; Wolf, S.; Naghilou, A.; Weiss, T.; Kress, H.G.; Radtke, C. Nuclear magnetic resonance treatment induces βNGF release from Schwann cells and enhances the neurite growth of dorsal root ganglion neurons in vitro. Cells 2024, 13, 1544. [Google Scholar] [CrossRef]
- Kitano, H. Towards a theory of biological robustness. Mol. Syst. Biol. 2007, 3, 137. [Google Scholar] [CrossRef]
- Ferrell, J.E.; Xiong, W. Bistability in cell signaling: How to make continuous processes discontinuous, and reversible processes irreversible. Chaos 2001, 11, 227–236. [Google Scholar] [CrossRef]
- Ferrell, J.E., Jr. Self-perpetuating states in signal transduction: Positive feedback, double-negative feedback and bistability. Curr. Opin. Cell Biol. 2002, 14, 140–148. [Google Scholar] [CrossRef]
- Zadeh-Haghighi, H.; Simon, C. Magnetic field effects in biology from the perspective of the radical pair mechanism. J. R. Soc. Interface 2022, 19, 20220325. [Google Scholar] [CrossRef]
- Steiner, U.E.; Ulrich, T. Magnetic field effects in chemical kinetics and related phenomena. Chem. Rev. 1989, 89, 51–147. [Google Scholar] [CrossRef]
- Hore, P.J.; Ivanov, K.L.; Wasielewski, M.R. Spin chemistry. J. Chem. Phys. 2020, 152, 120401. [Google Scholar] [CrossRef]
- Hore, P.J.; Mouritsen, H. The radical-pair mechanism of magnetoreception. Annu. Rev. Biophys.;*Standard reference framework for radical-pair chemistry in biology; essential background for readers unfamiliar with how nuclear-and electron-spin effects are thought to couple 2016, 45, 299–344. [Google Scholar] [CrossRef]
- Fay, T.P.; Lindoy, L.P.; Manolopoulos, D.E.; Hore, P.J. How quantum is radical pair magnetoreception? Faraday Discuss. 2020, 221, 77–91. [Google Scholar] [CrossRef]
- Ikeya, N.; Woodward, J.R. Cellular autofluorescence is magnetic field sensitive. Proc. Natl. Acad. Sci. U.S.A. 2021, 118, e2018043118, Landmark demonstration that ambient-strength magnetic fields can perturb cellular redox chemistry through a radical-pair-consistent mechanism, establishing biological plausibility for spin-dependent effects at the cellular level.. [Google Scholar] [CrossRef]
- Hore, P.J. Spin chemistry in living systems. Natl. Sci. Rev. 2024, 11, nwae126. [Google Scholar] [CrossRef]
- Usselman, R.J.; Hill, I.; Singel, D.J.; Martino, C.F. Spin biochemistry modulates reactive oxygen species (ROS) production by radio frequency magnetic fields. PLoS ONE 2014, 9, e93065. [Google Scholar] [CrossRef]
- Berridge, M.J.; Bootman, M.D.; Lipp, P. Calcium—A life and death signal. Nature 1998, 395, 645–648. [Google Scholar] [CrossRef]
- Levin, M. Molecular bioelectricity: How endogenous voltage potentials control cell behavior and instruct pattern regulation in vivo. Mol. Biol. Cell 2014, 25, 3835–3850. [Google Scholar] [CrossRef]
- Jones, D.P.; Sies, H. The redox code. Antioxid. Redox Signal. 2015, 23, 734–746. [Google Scholar] [CrossRef]
- Tohma, H.; Köksal, E.; Kılıç, Ö.; Alan, Y.; Yılmaz, M.A.; Gülçin, İ.; Bursal, E.; Alwasel, S.H. RP-HPLC/MS/MS analysis of the phenolic compounds, antioxidant and antimicrobial activities of Salvia L. species. Antioxidants 2016, 5, 38. [Google Scholar] [CrossRef]
- Gulcin, I.; Beydemir, S.; Sat, I.G.; Küfrevioğlu, Ö.I. Evaluation of antioxidant activity of cornelian cherry (Cornus mas L.). Acta Aliment. 2005, 34, 193–202. [Google Scholar] [CrossRef]
- Durmaz, L.; Erturk, A.; Akyüz, M.; Polat Kose, L.; Uc, E.M.; Bingol, Z.; Saglamtas, R.; Alwasel, S.; Gulcin, İ. Screening of carbonic anhydrase, acetylcholinesterase, butyrylcholinesterase, and α-glycosidase enzyme inhibition effects and antioxidant activity of coumestrol. Molecules 2022, 27, 3091. [Google Scholar] [CrossRef]
- Topal, M.; Gulcin, I. Evaluation of the in vitro antioxidant, antidiabetic and anticholinergic properties of rosmarinic acid from rosemary (Rosmarinus officinalis L.). Biocatal. Agric. Biotechnol. 2022, 43, 102417. [Google Scholar] [CrossRef]
- Nancy; Lakhawat, S.S.; Kumar, R.; Sharma, P.K. Cloning, expression, purification, and characterization of superoxide dismutase from the soil metagenome. Protein Pept. Lett. 2025, 32, 667–678. [Google Scholar] [CrossRef]
- Moin, H.; Ashraf, R.; Butt, B.; Mustafa, I.; Shafiq, M.; Shah, S.A.R. A review on the potential role of Humanin peptide and its analogs in the regulation of autophagy pathways for therapeutic application in metabolic disorders. Protein Pept. Lett. 2025, 32, 161–170. [Google Scholar] [CrossRef]
- Brocklehurst, B. Magnetic isotope effects in biology: A marker for radical pair reactions and electromagnetic field effects? Int. J. Radiat. Biol. 1997, 72, 587–596. [Google Scholar] [CrossRef]
- Pažėra, G.J.; Benjamin, P.; Mouritsen, H.; Hore, P.J. Isotope substitution effects on the magnetic compass properties of cryptochrome-based radical pairs: A computational study. J. Phys. Chem. B 2023, 127, 838–845. [Google Scholar] [CrossRef]
- Burd, S.C.; Bagheri, N.; Condon, A.F.; Ingaramo, M.; Mondal, S.; Dowlatshahi, D.P.; Summers, J.A.; Mukherjee, S.; York, A.G.; Wakatsuki, S.; Boxer, S.G.; Kasevich, M. Magnetic resonance control of spin-correlated radical pair dynamics in vivo. Nature 2026, 651, 940–945. [Google Scholar] [CrossRef]
- Meng, K.; Nie, L.; Berger, J.; von Grafenstein, N.R.; Weber, S.; Essen, L.O.; Rizzato, R.; Einholz, C.; Schleicher, E.; Bucher, D.B. Optically detected and radio wave-controlled spin chemistry in flavoproteins. Nat. Biotechnol. 2026. [Google Scholar] [CrossRef]
- Vardi, O.; Maroudas-Sklare, N.; Kolodny, Y.; Volosniev, A.; Saragovi, A.; Galili, N.; Ferrera, S.; Ghazaryan, A.; Yuran, N.; Affek, H.P.; Luz, B.; Goldsmith, Y.; Keren, N.; Yochelis, S.; Halevy, I.; Lemeshko, M.; Paltiel, Y. Nuclear spin effects in biological processes. Proc. Natl. Acad. Sci. U.S.A. 2023, 120, e2300828120. [Google Scholar] [CrossRef]
- Straub, J.S.; Patel, M.L.; Nowotarski, M.S.; Rao, L.; Turiansky, M.E.; Fisher, M.P.A.; Helgeson, M.E. Evidence for a possible quantum effect on the formation of lithium-doped amorphous calcium phosphate from solution. Proc. Natl. Acad. Sci. U.S.A. 2025, 122, e2423211122. [Google Scholar] [CrossRef]
- Nussbaum-Krammer, C.I.; Neto, M.F.; Brielmann, R.M.; Pedersen, J.S.; Morimoto, R.I. Investigating the spreading and toxicity of prion-like proteins using the metazoan model organism C. elegans. J. Vis. Exp. 2015, 95, 52321. [Google Scholar] [CrossRef]
- Sandhof, C.A.; Hoppe, S.O.; Druffel-Augustin, S.; Gallrein, C.; Kirstein, J.; Voisine, C.; Nussbaum-Krammer, C. Reducing INS-IGF1 signaling protects against non-cell autonomous vesicle rupture caused by SNCA spreading. Autophagy 2020, 16, 878–899. [Google Scholar] [CrossRef]
- Tittelmeier, J.; Sandhof, C.A.; Ries, H.M.; Druffel-Augustin, S.; Mogk, A.; Bukau, B.; Nussbaum-Krammer, C. The HSP110/HSP70 disaggregation system generates spreading-competent toxic α-synuclein species. EMBO J. 2020, 39, e103954. [Google Scholar] [CrossRef]
- Keeley, D.P.; Hastie, E.; Jayadev, R.; Kelley, L.C.; Chi, Q.; Payne, S.G.; Jeger, J.L.; Hoffman, B.D.; Sherwood, D.R. Comprehensive endogenous tagging of basement membrane components reveals dynamic movement within the matrix scaffolding. Dev. Cell 2020, 54, 60–74.e7. [Google Scholar] [CrossRef]
Table 1.
Reported physical parameters and exposure schedules in experimental studies of low-field NMR-based stimulation. Entries marked as not reported indicate that the corresponding information was not available from the cited publication.
Table 1.
Reported physical parameters and exposure schedules in experimental studies of low-field NMR-based stimulation. Entries marked as not reported indicate that the corresponding information was not available from the cited publication.
| Study | Refe-rence | Model | Reported field parameters | Exposure schedule | Control conditions and notes |
| Temiz-Artmann 2005 | [28] | Primary human chondrocytes and osteoblasts | Amplitudes and frequencies not reported; static field plus radiofrequency field at the proton NMR frequency | 30 or 60 min/day on 9 treatment days (5 days, 2-day break, then 4 days); analysis on day 19 | Double-blind and randomized; untreated controls plus placebo groups receiving the static field without radiofrequency excitation |
| Digel 2007 | [29] | Primary human dermal fibroblasts | 4 mT static field; 1 mT, approximately 100 kHz field; 40 Hz modulation | 4 h/day for 5 days: 2 h in the morning and 2 h in the afternoon; 20 h cumulative exposure | Untreated controls and a static-field-only group without radiofrequency excitation (six flasks per group); parameters differ substantially from those used in most later studies; reported magnetic-field strength and radiofrequency are not mutually consistent with a proton-resonance condition (see text) |
| Steinecker-Frohnwieser 2014 | [30] | Cal-78 chondrosarcoma cells, C28/I2 chondrocytes and primary human chondrocytes, IL-1β-stimulated | Field amplitude and frequency not reported | 2 h/day on 5 consecutive days (10 h cumulative), at room temperature, starting 2 h after IL-1β addition; 1 h, 5 h or 20 h within 5 days for individual assays | Cells kept at room temperature for the same period served as controls; no sham field |
| Steinecker-Frohnwieser 2018 | [31] | Cal-78 chondrosarcoma cells, IL-1β-stimulated | 0.23 mT; approximately 100 kHz | 1 h exposure at room temperature outside the incubator, generally started 1 h after IL-1β addition | Untreated cells kept at comparable temperature and humidity; reported magnetic-field strength and radiofrequency are not mutually consistent with a proton-resonance condition (see text) |
| Oliva 2019 | [32] | Zebrafish Z3 fibroblasts and zebrafish larvae | 0.4 mT; 17 kHz | Cells: single exposures of 1, 2 or 4 h, or 1 h/day on 4 consecutive days; larvae: 1 h/day on 4 consecutive days (11-14 days post-fertilization) | Sham cultures placed 2 m from the device in the same dark room; sham and exposure performed simultaneously |
| Steinecker-Frohnwieser 2021 | [33] | Primary and immortalized human chondrocytes | 0.23 mT; approximately 100 kHz; sweep parameters not reported | 5 h over a period of 3 days, at room temperature outside the incubator | Untreated controls kept under comparable conditions; reported magnetic-field strength and radiofrequency are not mutually consistent with a proton-resonance condition (see text) |
| Thöni 2021 | [34] | Mouse and zebrafish fibroblasts | 0.4 mT; 17 kHz | 3 h/day (08:00-11:00 h) on 2 consecutive days; additional dose-response exposures | Simultaneous sham exposure 2 m from the device in the same dark room; dexamethasone and light exposure as reference stimuli |
| Thöni 2022 | [35] | NIH3T3 fibroblasts | 0.4 mT; 17 kHz | Single 6 h exposure under normoxic or hypoxic conditions | Simultaneous sham exposure 2 m from the device; normoxia or hypoxia; chamber temperature held at 37 °C |
| Thöni 2024 | [36] | NIH3T3 fibroblasts | 0.4 mT; approximately 17.8 kHz; sweep repetition rate of 1-50 Hz | Single 6 h exposure during the day or night | Simultaneous sham exposure; normoxia or hypoxia; menadione, N-acetylcysteine, ascorbate and catalase as pharmacological ROS controls; blinded image analysis |
| Mann 2022 | [73] | Rat Schwann cells and dorsal-root-ganglion neurons | 0.4 mT (mean dynamic sweep-field strength); 16 kHz | Repeated cycles of 1 h exposure followed by 1.5 h recovery; 5, 10 or 15 cycles over 2-4 days | Matched ambient handling; cumulative and cyclic schedules compared |
| Rad 2024 | [74] | Rat Schwann cells | 0.4 mT; 16 kHz | 10 cycles over 3 days; each 1 h exposure followed by at least 1.5 h recovery | Matched ambient handling; overnight recovery before analysis |
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