Submitted:
23 March 2026
Posted:
25 March 2026
You are already at the latest version
Abstract
Keywords:
1. Introduction
2. Comparative Pharmacology of Microbial Lysates
2.1. Structural Biochemistry: Peptidoglycans vs. Beta-Glucans
2.2. Metabolic Profiles: From Acidification to Aryl Hydrocarbon Receptor (AhR) Activation
2.3. Differential Modulation of the Skin Barrier: Antimicrobial Defense vs. Trophic Support
2.4. Synergistic Potential in Atopic Dermatitis: Rationale for Combined Therapy
3. Molecular and Pharmacological Mechanisms of Action
3.1. Microbial Interference: Quorum Quenching and Biofilm Disruption
3.2. Innate Immunity Training: TLR-2 Modulation and Antimicrobial Peptide Induction
3.3. Targeting the JAK-STAT Pathway: Biomimetic Delivery via Perilla frutescens-Derived Exosomes
3.3.1. Modulation of the JAK/STAT Signaling Axis
3.3.2. The SOCS Regulatory Framework: Biological Checkpoints
3.3.3. Synergistic Action of Perilla-derived Bioactives: Luteolin and Rosmarinic Acid
- Luteolin (Antipruritic and Immunomodulator): Acts as a potent inhibitor of STAT3 and modulates the release of TSLP (Thymic Stromal Lymphopoietin). By blocking TSLP signaling, luteolin breaks the "itch-scratch cycle" and reduces mechanical-induced inflammation [62,63]. This action is validated by report [49] confirming the preservation of total cellular protein integrity under environmental stress.
- Inhibition of IKK-β Signaling: Rosmarinic acid exerts a targeted immunomodulatory effect by suppressing the production of key chemokines, such as CCL11 (eotaxin), and its corresponding receptor CCR3. This molecular blockade effectively limits eosinophil infiltration into the dermal layers, thereby attenuating the acute allergic response characteristic of atopic flares [12,13].
- Activation of the Nrf2/HO-1 Axis: This compound fortifies the skin’s internal resilience by upregulating endogenous antioxidant defenses within keratinocytes. By activating the Nrf2/HO-1 pathway, it neutralizes reactive oxygen species (ROS) and significantly reduces the cellular damage induced by oxidative stress [64].
- Stimulation of NHE1 and pH Regulation: A pivotal role of Rosmarinic acid in physical barrier reconstruction involves the activation of the Sodium-Proton Exchanger 1 (NHE1). This stimulation decreases skin surface pH to restore the "acid mantle" and increases ceramide levels, providing the necessary biochemical environment for the observed upregulation of collagen [40] and elastin [39] synthesis [44,65].
- Advanced Anti-inflammatory Pathways: Rosmarinic acid further modulates systemic inflammation by suppressing the production of TACE (TNF-alpha-converting enzyme), which prevents the shedding of EPCR (Endothelial Protein C Receptor) and the subsequently regulated release of TNF-alpha. Additionally, its capacity to interfere with the HMGB1 (High Mobility Group Box Protein 1) signaling pathway underscores its potential in managing severe and recalcitrant inflammatory disorders [66,67].
| Functional Axis | Bioactive Compound | Molecular Target / Pathway | Mechanism of Action | Biological Effect in Atopic Dermatitis | References |
|---|---|---|---|---|---|
| Immune Modulation | Luteolin | STAT3 signaling | Inhibits STAT3 activation involved in inflammatory signaling | Reduces inflammatory cytokine signaling and immune activation | [62,63] |
| Immune Modulation | Luteolin | TSLP | Blocks TSLP signaling in keratinocytes | Interrupts the itch–scratch cycle and decreases pruritus-induced inflammation | [62,63] |
| Immune Modulation | Rosmarinic Acid | IKK-β / NF-κB pathway | Inhibits IKK-β activity and downstream inflammatory signaling | Reduces chemokines such as CCL11 (eotaxin) and limits CCR3-mediated eosinophil recruitment | [12,13] |
| Immune Modulation | Rosmarinic Acid | TACE | Suppresses TNF-α activation and prevents EPCR shedding | Reduces inflammatory cytokine release and vascular inflammation | [66,67] |
| Immune Modulation | Rosmarinic Acid | HMGB1 signaling | Interferes with HMGB1 inflammatory signaling cascade | Limits severe inflammatory responses and tissue damage | [66,67] |
| Antioxidant Defense | Rosmarinic Acid | Nrf2 / HO-1 axis | Activates transcription of antioxidant enzymes | Neutralizes ROS and reduces oxidative stress in keratinocytes | [64] |
| Barrier Restoration | Rosmarinic Acid | NHE1 | Stimulates NHE1 activity regulating epidermal pH | Lowers skin surface pH and increases ceramide production | [51,65] |
| Barrier Restoration | Rosmarinic Acid | Extracellular matrix synthesis | Promotes structural protein production | Upregulates collagen and elastin, improving dermal integrity | [39,40] |
| Cellular Protection | Luteolin | Cellular protein stability pathways | Preserves total cellular protein integrity under environmental stress | Protects keratinocytes from stress-ind uced damage | [49] |
3.3.4. Targeted Biomimetic Delivery and Clinical Outcomes
3.4. Epidermal Barrier Restoration: PPAR-γ Activation and Lipid Homeostasis
3.4.1. PPAR-γ Signaling and Lipid Synthesis
3.4.2. Structural Integrity and Cellular Renewal
3.4.3. Exosomal Delivery and ECM Remodeling
4. Comparative Analysis: Postbiotics versus Conventional Therapies in AD Management
4.1. Precision Ecology: Postbiotics vs. Antibiotics and Antiseptics
4.2. The "Steroid-Sparing" Potential: Postbiotics as Adjuvant and Proactive Therapy
| Criterion | Exosomal Postbiotics (PEC) | Antibiotics / Antiseptics | Corticosteroids (TCS) |
|---|---|---|---|
| Mechanism of action | Interfere with agr-mediated quorum sensing of S. aureus, reducing virulence without bactericidal pressure [11,70] | Bactericidal or antiseptic action eliminating bacteria, including commensals [51] | Broad anti-inflammatory and immunosuppressive effects via cytokine inhibition |
| Target specificity | High; modulates pathogenic behavior while preserving commensals | Low; non-selective microbial elimination | Low; non-specific immune suppression |
| Selective pressure / resistance | No selective pressure; minimal resistance risk [51] | High selective pressure promoting antimicrobial resistance [51] | No microbial resistance; risk of tachyphylaxis |
| Impact on microbiome | Preserves commensal microbiota and microbial balance [51,52] | Disrupts microbiome, inducing dysbiosis [47] | Indirect alteration via immune suppression |
|
Effect on biofilms and toxins |
Inhibits biofilm formation and dermonecrotic toxin secretion [47] |
Limited efficacy against biofilms |
No direct antimicrobial effect |
| Inflammation control | Indirect; immune modulation (e.g., macrophage polarization, JAK-STAT inhibition via luteolin) [63,67] | Limited; reduces pathogen-driven inflammation | Strong and rapid anti-inflammatory effect |
| Skin barrier / homeostasis | Actively restores barrier and supports physiological signaling [58] | May disrupt skin homeostasis [47] | Improves symptoms without restoring barrier function |
| Re-colonization risk | Low; supports microbiome-mediated protection [41,52] | High; frequent recurrence after treatment | No effect on microbial recolonization |
| Safety profile | High; no atrophy or rebound effects reported | Risk of resistance and microbiome disruption | Risk of skin atrophy, rebound flares, and poor adherence ("steroid phobia") [52] |
| Therapeutic approach | Proactive, microbiome-oriented, precision medicine-based [54] | Reactive, pathogen-elimination approach | Reactive, flare-control strategy |
4.3. Beyond pH Correction: Complex Postbiotic Cocktails vs. Simple Acidification
4.4. Safety Profile and Long-term Compliance: Overcoming Traditional Limitations
5. Challenges in Pharmaceutical Technology and Formulation Stability
5.1. Incorporating Postbiotics into O/W Emulsions: Preserving Protein Bioactivity
5.2. The Formulation Paradox: Developing Microbiome-Friendly Products
5.3. Exosomal Stability and Controlled Release: Ensuring Targeted Delivery
6. Future Perspectives: Toward Precision Postbiotics in Dermatology
6.1. Beyond "Lysates": The Need for Standardization via Proteomics and Metabolomics
6.2. Personalized Postbiotics: Microbiome Profiling and Tailored Therapeutic Interventions
6.3. The integration of AI in predicting postbiotics efficacy
Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
Abbreviations
| AD | Atopic Dermatitis |
| AHA | Alpha-hydroxy acid |
| AhR | Aryl hydrocarbon receptor |
| AIP | Autoinducing Peptides |
| AMP | Antimicrobial peptide |
| ATP | Adenosine triphosphate |
| CCL2/11 | Chemokine ligand 2/11 |
| CCR3 | Chemokine receptor 3 |
| CYP1A1 | Cytochrome P450 1A1 |
| ECM | Extracellular matrix |
| EPCR | Endothelial Protein C Receptor |
| FLG | Filaggrin |
| HMGB1 | High Mobility Group Box Protein 1 |
| IL | Interleukine |
| ISAPP | International Scientific Association for Probiotics and Prebiotics |
| JAK | Janus kinase |
| LPO | Lipid peroxidation |
| LTA | Lipoteichoic acid |
| MAPK | Mitogen-activated protein kinase |
| NF-κB | Nuclear factor kappa B |
| NMF | Natural moisturizing factor |
| PEC: | Perilla-derived exosomal complex |
| PGN | Peptidoglycan) |
| PRR | Pattern recognition receptor |
| ROS | Reactive oxygen species |
| SCORAD | SCORing Atopic Dermatitis |
| SOCS | Suppressors of Cytokine Signaling |
| STAT | Signal transducer and activator of transcription |
| TEWL | Transepidermal water loss |
| TLR | Toll-like receptor |
| TSLP | Thymic Stromal Lymphopoietin |
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| Category | Lactobacillus (Bacterial Postbiotics) | Saccharomyces (Fungal Postbiotics) | Synergistic Effect (Multi-Kingdom Approach) |
|---|---|---|---|
| Structural Components | Peptidoglycans (PGN), lipoteichoic acids (LTA) [6,24] | β-1,3/1,6-glucans, mannoproteins [25,26] | Complementary structural signaling |
| Primary Receptors | TLR-2 activation [6,24] | Dectin-1 activation [25,26] | Dual PRR activation |
| Signaling Pathways | NF-κB, MAPK pathways [6,24] | Dectin-1 and AhR pathways [4,17,20,27] | TLR + JAK-STAT + AhR modulation [12] |
| Immune Effects | AMP induction (β-defensin, LL-37); immune priming [6,24] | Reduction of Th2 inflammation [25,26] | ↓ IL-6 (~40%) [4,8] |
| Metabolic Activity | Lactic acid (AHA); pH regulation (4.5–5.5) [28,29] | Vitamins (B-complex), amino acids, metabolites [20,27] | Restored acid mantle + metabolic support |
| Barrier Function | Protease inhibition; antimicrobial barrier support [28,29] | FLG expression → NMF → ↓ TEWL [4,17,20,27] | Enhanced barrier integrity |
| Oxidative Stress Modulation | Indirect immune-mediated reduction | Antioxidant effect (↓ ROS, ↓ LPO); CYP1A1 modulation [30,31] | Restored redox homeostasis |
| Microbiome Interaction | Quorum quenching; inhibits Staphylococcus Aureus biofilm [32] | Supports microbial balance | Restores eubiosis [15,18,33,34,35] |
| Cellular Effects |
AMP production; pathogen exclusion [36,37] |
Keratinocyte proliferation; collagen & loricrin synthesis [38] | Immune defense + tissue repair |
| Dermal Remodeling | Limited ECM stimulation | ↑ Collagen (+11%), ↑ Elastin (+87%) [36,39,40] | Enhanced ECM regeneration |
| Clinical Outcomes | Reduced infection and inflammation | Improved hydration and barrier repair | ↓ erythema, improved skin texture (VISIA) [41,42] |
| Pharmacological Role | Innate immune activation | Trophic and structural support | Holistic AD management [15,18,33,34,35] |
| Domain | AI Application | Key Features / Inputs | Clinical Relevance |
|---|---|---|---|
| Predictive modeling | Risk prediction and treatment response estimation | Baseline severity, flare history, treatment exposure, longitudinal barrier and microbiome data | Enables personalized prediction of flare risk and likelihood of response to postbiotics [90,91] |
| Disease stratification | Machine learning-based deep phenotyping | Clinical phenotype, disease trajectory patterns, multi-omics data | Identifies patient subgroups with distinct disease trajectories and therapeutic needs [93] |
| Severity assessment | AI-assisted or automated scoring systems | Standardized severity indices, imaging, longitudinal clinical data | Reduces inter-observer variability and improves monitoring consistency [93] |
| Digital biomarkers | Passive flare detection and monitoring | Wearable/device-derived signals, longitudinal symptom tracking | Enables early detection of flares and proactive therapeutic adjustments [92,93] |
| Treatment optimization | AI-guided stratification linked to treatment pathways | Integrated datasets (clinical, microbiome, omics) | Supports precision medicine and individualized postbiotic regimens [92] |
| Hybrid therapeutic integration | AI-supported “inside-out” and “outside-in” approaches | Clinical response to biologics + barrier restoration markers (e.g., filaggrin, loricrin) | Enhances synergy between systemic biologics and topical postbiotics; supports steroid-sparing strategies |
| Mechanistic targeting | Modeling of pathway-specific effects | AhR activation, cytokine profiles, oxidative stress pathways (e.g., CYP1A1) | Predicts response to postbiotics targeting barrier repair and immune modulation |
| Model architecture | Advanced AI frameworks | Graph-based models, attention-based architectures | Captures complex relationships between clinical and biological variables [88,92] |
| Data requirements | Standardized and validated datasets | Clinical variables, microbiome composition, S. aureus dominance, functional signatures | Ensures reproducibility and generalizability across patient populations |
| Limitations & considerations | Validation and ethical use | External validation, fairness assessment, transparent inputs | Prevents bias, overfitting, and ensures clinical applicability [90,91] |
| Clinical implementation | Decision-support systems | Integrated patient data and standardized interventions | Supports clinicians without replacing judgment; improves personalized adjunctive care [90] |
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