Submitted:
02 August 2025
Posted:
06 August 2025
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Abstract

Keywords:
From Adaptation to Exhaustion: Exposure-Related Malnutrition (ERM) as a Bioenergetic Phenotype of Aging
1. Introduction
2. Conceptual Model:
3. Mechanistic Pathways Underlying ERM
3.1. From Central Command to Cellular Collapse: The Bioenergetic Logic of Maladaptive Adaptation
3.2. Neuroendocrine Axis: Central Command of Substrate Allocation
3.3. Immune Reprogramming and Inflammaging: Energy-Intensive Surveillance
3.4. Skeletal Muscle and Anabolic Resistance: The Energetic Reservoir Depleted
3.5. Cellular Integrated Stress Response: Translational Triage Under Strain
3.6. Mitochondrial Stress Response and Mitokines: The Energetic Fulcrum and Feedback Signal
3.7. Closing the Loop: From Peripheral Strain to Central Reprogramming
4. Defining ERM as a Preclinical Aging Phenotype
4.1. ERM vs. Classical Malnutrition Syndromes
4.2. ERM as the Early Metabolic Signature of Resilience Loss in Aging
4.3. Recognizing ERM Phenotypes
Functional Biomarkers: The First Line of ERM Detection
- Handgrip strength and muscle power (dynapenia/powerpenia) have stronger associations with morbidity and mortality than muscle mass alone, and reflect early disruption in anabolic signaling and mitochondrial energy metabolism.
- Gait speed and balance tests capture neuromuscular coordination and are sensitive to cognitive and central nervous system compromise.
- Calf circumference, particularly in the context of preserved BMI, serves as a practical surrogate for declining peripheral muscle mass and functional reserve.
From Structure to Cellular Function: Compositional and Biophysical Markers
- Progressive decline in skeletal muscle mass and bone mineral content signals a shift away from long-term structural investment, consistent with catabolic resource diversion.
- Accumulation of visceral fat, particularly in the presence of stable or rising BMI, reflects a maladaptive redistribution of energy stores—often sustained by hyperinsulinemia and glucose-driven metabolic programming under stress.
- Reduction in phase angle (PhA), a marker of cell membrane integrity and intracellular water balance, reflects impaired cellular vitality and bioenergetic efficiency. Rather than relying on a single cutoff, declining trends in PhA may indicate cumulative stress effects and loss of physiological plasticity. Reduced PhA is also linked to anabolic resistance, sarcopenia, and increased frailty (Akamatsu et al., 2022; Norman et al., 2012).
Patterns Over Points: The ERM Signature
Pattern of Biochemical Trade-Offs: Systemic Signals of Strain
- Preservation or elevation of acute-phase reactants (e.g., CRP, ferritin), coagulation factors, and stress proteins indicate active immune prioritization (Cederholm & Bosaeus, 2024; Sganga et al., 1985).
- Decline in housekeeping proteins such as transthyretin and transferrin marks hepatic reprioritization away from maintenance functions (Evans et al., 2021; Paulussen et al., 2021).
- Suppression of long-term anabolic markers, including IGF-1, sex hormones, and proteins related to muscle, bone, and reproductive function, reflects deeper systemic sacrifice in favor of short-term homeostasis (Bian et al., 2020; Payea et al., 2024; Ryan & Ryznar, 2022).
4.4. ERM and the GLIM Criteria: A Missing Middle
- a “pre-GLIM” phenotype, representing an earlier, subclinical stage of adaptation failure, or
- a parallel subtype of functional malnutrition, primarily driven by maladaptive stress physiology rather than overt intake deficiency.
5. ERM and the Hallmarks of Aging: Reframing Aging as a Failure to Resolve Adaptation
5.1. Mitochondrial Dysfunction → Bioenergetic Reversibility
5.2. Altered Nutrient Sensing → Adaptive Metabolic Flexibility
5.3. Cellular Senescence: Metabolically Driven Vulnerability
5.4. Stem Cell Exhaustion → Resource-Dependent Dormancy
5.5. Bioenergetic Inadequacies: A Hidden Cost of Chronic Adaptation
5.6. From Irreversibility to Intervention: ERM as a Critical Inflection Point
6. Translational and Clinical Relevance: Reframing Healthspan Through Adaptive Recovery
6.1. A Window for Preventive Intervention
6.2. Strategies to Restore Metabolic Governance
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Lifestyle-Circadian SynchronizationSynchronizing daily behaviors with circadian rhythms—through structured sleep, timed meals, and light exposure—plays a vital role in restoring metabolic tempo, optimizing insulin sensitivity, and recalibrating neuroendocrine function (Ryan & Ryznar, 2022; Shaulson et al., 2024; Tippairote et al., 2021). Central to this process is the alignment of the cortisol rhythm, a core output of the circadian system that governs energy mobilization, immune modulation, and stress response. Disruptions to this rhythm—whether through irregular sleep patterns, nighttime eating, or insufficient light exposure—can desynchronize the HPA axis, promoting metabolic dysfunction.Traditional Japanese lifestyle patterns, such as early dinners, seasonal meal timing, and exposure to natural light, inherently support circadian alignment. These culturally embedded practices may contribute to Japan’s exceptional longevity by sustaining hormonal rhythms and reducing bioenergetic strain (Shirai & Tsushita, 2024).
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Mitochondrial and Nutritional Support for ResilienceMitochondrial resilience and nutritional sufficiency are tightly intertwined. Essential cofactors—magnesium, zinc, selenium, B vitamins, alpha-lipoic acid—are critical for mitochondrial redox balance and energy production. Subclinical deficiencies often manifest as low alkaline phosphatase, elevated homocysteine, or reduced transport proteins (e.g., prealbumin, transferrin), signaling the need for targeted repletion and consistent protein intake (Beck & Rosenthal, 2002; Ray et al., 2017).Complementary mitohormetic stimuli—such as moderate exercise, thermal stress, and intermittent fasting—enhance mitochondrial biogenesis and adaptive signaling. These effects are reinforced by polyphenols like quercetin and epigallocatechin gallate (EGCG), which reduce senescent cell burden and promote tissue repair (Martel et al., 2024; Ristow & Schmeisser, 2014).Japan’s traditional diet offers a real-world validation: nutrient-dense, anti-inflammatory, and phytonutrient-rich, it supports immune competence, muscle integrity, and systemic recovery. This dietary pattern has been associated with reduced chronic disease burden and sustained physical and cognitive function into advanced age (Li et al., 2024; Shirai & Tsushita, 2024).Improving dietary quality is a critical foundation in addressing ERM. Strategies such as reducing refined carbohydrate and sugar intake may help modulate insulin and stress hormone dynamics, while adequate protein intake supports tissue repair and regeneration. Repletion of specific micronutrients—particularly vitamin D, a key regulator of counter-regulatory immune responses—is essential to reduce the risk of sustained inflammation and impaired resolution in individuals with high metabolic demand.However, nutritional repletion alone may be insufficient in the presence of unresolved stress, inflammation, or toxicant exposure, which can impair nutrient utilization and reinforce maladaptive metabolic states. Therefore, dietary strategies should be implemented as part of a broader integrative approach. Ultimately, successful reversal of ERM requires not just the availability of nutrients, but the physiological capacity to utilize them—highlighting the importance of synchronized, resilience-informed interventions.
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Neuroendocrine and Stress Axis ModulationThe capacity to dynamically regulate stress through the HPA and SAM axes is essential for survival and healthy aging. In ERM, chronic overactivation of these axes leads to persistent catabolism, inflammation, and autonomic imbalance.Mind-body interventions—such as mindfulness-based stress reduction (MBSR), yoga, and vagal breathing—help restore parasympathetic tone, lower cortisol output, and improve neuroendocrine flexibility (Chrousos, 2009; Srour & Keyes, 2025). These practices support systemic recovery and energy conservation.Cultural constructs also matter. In Japan, ikigai—a sense of meaning and purpose—has been linked to lower allostatic load and longer lifespan, highlighting the role of psychosocial integration in sustaining adaptive capacity (Shirai & Tsushita, 2024).Targeting these neuroendocrine hubs—where emotion, metabolism, and inflammation intersect—can help reverse the maladaptive cycle of ERM and reestablish the physiological adaptability required for resilience.
6.3. Toward Resilience-Informed Healthspan Strategies
- Monitoring of functional reserve
- Recognition of dynamic biomarker constellations rather than reliance on static thresholds
- Restoration of energy availability and systemic plasticity
7. Conclusions
- A systematic review, registered with PROSPERO (ID: CRD420251033154), is currently underway to consolidate evidence across stress physiology, metabolic adaptation, and malnutrition domains. This review aims to identify converging biomarker constellations and physiological trade-offs that define ERM and support the development of pattern-based recognition criteria.
- In parallel, a retrospective analysis of clinical data is in progress. This study will identify real-world ERM phenotypes, validate functional and biomarker signatures, and inform the development of a robust ERM staging model.
- With phenotype recognition and staging in place, intervention trials can be designed to target the mechanisms underpinning ERM. These may include strategies to restore mitochondrial function, rebalance micronutrient and amino acid status, synchronize circadian and neuroendocrine rhythms, and promote recovery following sustained stress exposure.
Funding
List of Abbreviations
| Abbreviation | FullTerm |
| AMPK | AMP-activated Protein Kinase |
| ATF4 | Activating Transcription Factor 4 |
| ATP | Adenosine Triphosphate |
| BEC | Brain–Body Energy Conservation |
| BIA | Bioelectrical Impedance Analysis |
| BMI | Body Mass Index |
| cGAS–STING | cyclic GMP–AMP synthase–stimulator of interferon genes |
| CED | Chronic Energy Deficiency |
| CHOP | C/EBP Homologous Protein |
| CRP | C-Reactive Protein |
| DHEA | Dehydroepiandrosterone |
| DRM | Disease-Related Malnutrition |
| eIF2α | eukaryotic Initiation Factor 2 Alpha |
| ERM | Exposure-Related Malnutrition |
| FGF21 | Fibroblast Growth Factor 21 |
| GDF15 | Growth Differentiation Factor 15 |
| GLIM | Global Leadership Initiative on Malnutrition |
| HPA | Hypothalamic–Pituitary–Adrenal (axis) |
| IGF-1 | Insulin-like Growth Factor 1 |
| ISR | Integrated Stress Response |
| MBSR | Mindfulness-Based Stress Reduction |
| mTORC1 | mechanistic Target of Rapamycin Complex 1 |
| mt-ISR | Mitochondrial Integrated Stress Response |
| mtDNA | Mitochondrial DNA |
| MPS | Muscle Protein Synthesis |
| NLRP3 | NOD-like receptor family pyrin domain-containing 3 |
| PhA | Phase Angle |
| RED-S | Relative Energy Deficiency in Sport |
| ROS | Reactive Oxygen Species |
| SAM | Sympathetic–Adrenal–Medullary |
| SASP | Senescence-Associated Secretory Phenotype |
| SCENITH | Single-Cell Energetic metabolism by Translation Inhibition |
| scRNA-seq | single-cell RNA sequencing |
| UPR | Unfolded Protein Response |
Authors’ contributions
Ethical Approval
Consent to Participate
Availability of data and material
Acknowledgments
Conflicts of Interest
Consent for Publication
Code availability
Declaration of generative AI and AI-assisted technologies in the writing process
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| Feature | ERM (Exposure-Related Malnutrition) | Normative Aging | DRM (Disease-Related Malnutrition) |
|---|---|---|---|
| Definition | A stress-adapted, potentially reversible phenotype of unresolved bioenergetic and physiological adaptation | Intrinsic, time-dependent biological decline involving both reversible and irreversible processes | Malnutrition driven by inflammatory or disease-related catabolic burden exceeding nutritional intake |
| Primary Triggers | Chronic psychosocial, inflammatory, environmental, or metabolic stress | Telomere attrition, genomic instability, epigenetic drift, stem cell exhaustion | Acute or chronic disease, systemic inflammation, illness-induced catabolism |
| Typical Onset Pattern | Gradual, subclinical, often early in life under chronic stress exposure | Progressive and cumulative over decades | Subacute or acute during illness or hospitalization |
| Reversibility | Potentially reversible if identified before senescence or tissue degeneration | Partially reversible in early stages; largely irreversible in advanced aging | Partially reversible with nutritional and anti-inflammatory treatment |
| Clinical Phenotype | Functional decline: fatigue, cognitive slowing, impaired recovery, anabolic resistance, subtle loss of resilience | Gradual decline in strength, endurance, repair capacity, cognition, and stem cell activity | Weight loss, poor wound healing, immune dysfunction, frailty in late stages |
| Nutritional Profile | Often normal or elevated BMI; masked by central adiposity or preserved weight | Highly variable; may show gradual decline in lean mass and nutrient absorption | Low BMI, weight loss, or muscle wasting often evident |
| Biomarker Pattern | Trade-off signature with prioritized stress survival (e.g., acute-phase proteins), suppressed maintenance markers (e.g., nutrient transport, protein synthesis), and impaired long-term repair—indicative of progressive substrate misallocation. | Gradual decline in both anabolic and stress-response pathways without prioritized misallocation. | Overt catabolic state with marked inflammation, suppressed repair, and visible nutrient depletion. |
| Common Diagnostic Oversights | Attributed to stress, aging, or mood disorder; often missed due to normal appearance | Considered “normal” aging even when early functional decline signals underlying stress load | Misdiagnosed as aging or cachexia; underrecognized in stable-weight patients |
| Response to Intervention | Responsive to metabolic, circadian, and resilience-focused therapies; improvement possible before irreversible decline | Slower or limited response to intervention; focus on maintenance and delay of decline | Requires combined nutrition and medical care; may reverse weight loss and inflammation |
| Domain | GLIM Malnutrition Framework | ERM Malnutrition Framework |
|---|---|---|
| Focus | Observable malnutrition | Subclinical bioenergetic exhaustion |
| Phenotypic Criteria | Weight loss, low BMI, low muscle mass | Fatigue, immune dysfunction, reduced phase angle, anabolic resistance |
| Etiologic Criteria | Inflammation, reduced intake, disease burden | Chronic adaptation to physiological stress, environmental burden, and cumulative lifestyle exposures |
| Detection Sensitivity | Moderate-to-late-stage malnutrition | High; based on emerging biomarkers and functional pattern recognition |
| Intervention Window | Post-functional decline | Early, targets reversible physiological compromise before functional decline |
| Biomarker Use | Optional; not central to diagnosis | Central to detection; includes acute phase reactants, cellular turnover, anabolic and stress-response markers |
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