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Multiple sclerosis (MS) is a chronic autoimmune demyelinating disease of the central nervous system, with a global prevalence of approximately 2.8 million.[1]The immunology of multiple sclerosisKathrine E. Attfield, Lise Torp Jensen, Max Kaufmann et al. · 2022Open reference 1

The conventional framing centers on genetic susceptibility (HLA-DRB1*15:01), autoreactive T cells attacking myelin, and environmental triggers (EBV infection, vitamin D deficiency, smoking).[1]The immunology of multiple sclerosisKathrine E. Attfield, Lise Torp Jensen, Max Kaufmann et al. · 2022Open reference 1

The metallomic angle for MS is notably thinner than for the other diseases in this wiki—there is no well-characterized metal signature in MS biofluids comparable to the copper (Cu)/zinc (Zn) disruption in cancer or the zinc depletion in diabetes.

However, the gut-brain axis connection is exceptionally strong, with probiotic trials demonstrating clinically meaningful improvements in disability scores, inflammatory markers, and cytokine profiles. Because Gut Microbiome composition is shaped by dietary metal exposure, the metal-microbiome-brain pathway provides the most relevant lens for MS in this wiki.

Evidence map68 cited passagesInspect provenance +
01
Introduction

Multiple sclerosis (MS) is a chronic autoimmune demyelinating disease of the central nervous system, with a global prevalence of approximately 2.8 million. The conventional framing centers on genetic susceptibility (HLA-DRB115:01), autoreactive T cells attacking myelin, and environmental triggers (EBV infection, vitamin D deficiency, smoking). The metallomic

02
Metallomic Signature

Iron: Iron accumulation in deep gray matter structures (thalamus, caudate, putamen) is documented by MRI and pathology in progressive MS, likely reflecting both neurodegeneration and impaired iron homeostasis. Peripherally, urine iron is significantly lower in MS patients. Ferroptosis mechanisms relevant to other neurodegenerative diseases (Parkinson's, Alzh

03
Metallomic Signature

Manganese: Mn is a cofactor for MnSOD and TCA cycle enzymes. The metabolic shift from oxidative phosphorylation to glycolysis observed in MS-associated T cells involves Mn-dependent enzyme pathways.

04
Metallomic Signature

The absence of a clear metallomic signature does not mean metals are irrelevant to MS—it means the research has not been done. A Turkish case-control study (52 MS vs 41 controls) found significantly elevated urinary Ni, Cd, Pb, As, Al, Mn, Cu, and Ba in MS patients, with Ni (OR 1.47), Cd (OR 1.45), and Pb (OR 1.32) emerging as independent risk factors. Th

05
Gut Microbiome Connection

The microbiome-MS literature in this wiki is concentrated in five sources that together build a coherent picture of probiotic-mediated immune modulation. Foundational case-control work has repeatedly documented an MS dysbiosis pattern: Prevotella depletion, Akkermansia enrichment, methanogen (Methanobrevibacter) expansion, and striking depletion of Clostridi

06
Probiotic Clinical Trials in MS

The landmark trial. 60 RRMS patients randomized to a four-strain probiotic (L. acidophilus, L. casei, B. bifidum, L. fermentum, each 2x10^9 CFU/g) or placebo for 12 weeks. Results:

07
Probiotic Clinical Trials in MS

Companion study using the same probiotic formulation in 40 RRMS patients. Demonstrated significant downregulation of IL-8 (p<0.001) and TNF-alpha (p<0.001) gene expression in PBMCs. No effect on IL-1, PPAR-gamma, or LDLR. Note: This paper has an Expression of Concern (2022) regarding data integrity; the authors could not provide original data. Results sho

08
Probiotic Clinical Trials in MS

VSL3 (multi-strain probiotic) modulated both gut microbiome composition and peripheral immune responses in MS patients, with effects on regulatory T cell populations. One of the first studies combining microbiome sequencing, metabolomics, and immune profiling in MS.

09
Animal Model Evidence

Diet composition alone (irradiated vs. autoclaved rodent chow) was sufficient to alter gut microbial communities and significantly change EAE severity. Key findings:

10
Animal Model Evidence

Streptococcus thermophilus ST285 shifted the immune response from pro-inflammatory Th1 to anti-inflammatory Th2 in MBP83-99-immunized mice:

11
Environmental Metal Exposure Links

Direct case-control evidence links environmental metal exposure to MS risk: in a Turkish cohort, urinary Ni, Cd, Pb, Al, As, Cu, Mn, Ag, Ba, Cs, Rb, and Sr were all significantly elevated in MS patients, and heavy metals collectively carried ~1.5-fold increased MS risk. Beyond this:

12
Environmental Metal Exposure Links

Lead exposure in childhood has been associated with increased MS risk in some studies

13
Additional Supporting Evidence

Bile acid metabolism—Both primary and secondary bile acid metabolites are significantly reduced in adult and pediatric MS, with TUDCA supplementation ameliorating neuroinflammation through GPBAR1 receptor signaling in EAE

14
Additional Supporting Evidence

SCFA reduction—Fecal SCFAs and serum propionate/butyrate are lower in MS and correlate with altered T/B cell subsets and elevated intestinal inflammation markers (calprotectin)

15
Additional Supporting Evidence

MAIT cells and gut yeasts—MS patients show elevated fecal fungal abundance (S. cerevisiae, C. albicans), and their MAIT cells are hyper-activated by fungal extracts via IL-23, producing IL-17, GM-CSF, and CCL20; MAIT cells infiltrate 53% of progressive MS brain lesions. Torulaspora and Debaryomyces are also enriched in MS mycobiota, with Torulaspora assoc

16
Additional Supporting Evidence

Ketogenic diet—A 6-month ketogenic diet restored colonic microbiome mass and essential bacteria (Roseburia, Bacteroides, F. prausnitzii) in MS patients to healthy-control levels

17
Additional Supporting Evidence

Disease-progression signatures—Commensal microbiota signatures predict clinical severity and progression in MS, and gut microbiota composition varies with disease activity (F. prausnitzii and Gordonibacter reduced during active inflammation)

18
Additional Supporting Evidence

B-cell depletion therapy—Ocrelizumab (anti-CD20) partially reverses MS-associated oral and gut dysbiosis over 12 months, shifting Bacteroidetes/Firmicutes balance toward healthy-control patterns

19
Additional Supporting Evidence

Oral microbiome—Oral dysbiosis with a distinct metabolite signature is detectable in MS and may be more pronounced than gut dysbiosis as a disease trait

20
Additional Supporting Evidence

MS metabolomics—Comprehensive metabolomic profiling of MS cohorts

21
Additional Supporting Evidence

Diet-MS mechanism—Dietary intake shapes MS-relevant gut-brain signaling via microbiota

22
Additional Supporting Evidence

Mycobiota progression—Altered gut mycobiota tracks MS progression

23
Metallomic Signature

MS patients demonstrate significantly elevated urinary levels of nickel (Ni), cadmium (Cd), lead (Pb), aluminum (Al), arsenic (As), silver (Ag), barium (Ba), cesium (Cs), rubidium (Rb), and strontium (Sr) compared to healthy controls. Univariate logistic regression in this Turkish cohort identified heavy metals as approximately 1.5 times more risky for MS, w

24
Metallomic Signature

Notably, iron (Fe) and titanium (Ti) are depleted in MS patients. Iron depletion is particularly significant because iron is required for myelin production and oxidative stress defense; its depletion may relate to impaired myelination and increased ferroptosis vulnerability in oligodendrocytes, the cells targeted by MS immune responses.

Showing 24 of 68 evidence-bearing passages. Every remaining citation is still indexed in the reference record below.

Integrated microbiome signature

One disease. Five evidence layers.

A generated systems view of the metals, organisms, host sequestration signals, ecological conditions, and microbial functions indexed for Multiple Sclerosis.

01

Evidence layer

Metallomic signature

Elements and antioxidants reported as elevated, accumulated, depleted, or systemically altered.
preliminary confidence

Elevated or accumulated

12

Depleted or redistributed

2
02

Evidence layer

Taxonomic signature

Organisms reported as enriched or depleted, with their indexed functional context kept beside the name.
high confidence
Enriched taxa16

Archaeal methanogen — LPS-producing, recruits dendritic cells and inflammatory responses; elevated breath methane in MS

Mucin-degrading bacterium — correlates with interferon signaling and NF-kB activation; cadmium-responsive

Interkingdom pathobiont — fungal overgrowth enriched in MS fecal and oral samples; drives MAIT cell activation; functional shielding capacity

Fungal dysbiotic enrichment — activates MAIT cells via IL-23 pathway; high cultivable isolates in MS samples

Pro-inflammatory oral pathobiont — enriched in MS saliva, increased inflammation signaling

Gram-negative oral and gut pathobiont — metal-dependent iron acquisition; oxygen consumption; BBB penetration; enriched in MS oral cavity

Enriched in MS progressors — independent predictor of disease progression

Sulfate-reducing bacterium enriched in progressors — H₂S production; oxidative stress

Akkermansia

Increases in MS but decreases in progressors — complex dysbiotic role

Fungal pathobiont — strongly associated with increased disability; fungal dysbiosis marker

Fungal dysbiosis in MS — enriched compared to controls

HLA-DRB1*1501-associated fungal dysbiosis — linked to severe MS phenotype

Depleted taxa14

SCFA-producing bacterium — depleted in MS; negative correlations with inflammatory pathways

Clostridia Cluster Xiva

Treg-inducing SCFA producers — striking depletion in MS; metal-sensitive; fundamental loss of immune regulation

Clostridia Cluster Iv

Treg-inducing SCFA producers — depleted in MS; phylogenetically related to Treg-inducing strains

SCFA-producing family — 14 of 21 differentially abundant species in Clostridia clades XIVa/IV reduced in MS

SCFA producer — reduced in MS; restored after B-cell depletion

Essential butyrate producer — quantitatively reduced in MS colonic microbiota

Mixed dysbiotic pattern — some species reduced, involved in secondary bile acid metabolism disruption

Complex pattern — some increases in disease-active, depletion in some contexts; restored after immunotherapy

SCFA-family member — reduced in MS; restored by treatment

Eubacterium Ventriosum

SCFA producer — inversely correlated with MS progression

Inversely correlated with EAE severity (r = -0.67); L. paracasei treatment reduced EAE incidence from 100% to 69%

03

Evidence layer

Nutritional immunity

Host metal-withholding, inflammatory, antioxidant, and microbial-metabolite signals indexed in the signature.
preliminary confidence

Elevated host signals

10

Depleted protective signals

7
Short-Chain Fatty Acids (SCFAs)Bile AcidsGlutathione (GSH)Secondary Bile AcidsTryptophanKynurenic AcidIron
04

Evidence layer

Ecological state

The environmental conditions that connect the organism-level observations into a system.
moderate confidence
WB.ECO / SYSTEM MODEL16 connected states
01
Dysbiosisindexed ecological state
02
Altered Oxygen Stateindexed ecological state
03
Impaired Biofermentationindexed ecological state
04
Oral Gut Compartmentalization Breakdownindexed ecological state
05
Fungal Overgrowthindexed ecological state
06
Reduced Microbial Diversityindexed ecological state
07
SCFA Depletionindexed ecological state
08
Methane Elevationindexed ecological state
09
Altered Bile Acid Metabolismindexed ecological state
10
Interkingdom Dysbiosisindexed ecological state
11
Mycobiome Expansionindexed ecological state
12
MAIT Cell Hyperactivationindexed ecological state
13
Th1 Th17 Dominanceindexed ecological state
14
Glycolysis Over OXPHOSindexed ecological state
15
Bile Acid Depletionindexed ecological state
16
Mucin Degradationindexed ecological state
EnvironmentCommunity structureHost response
05

Evidence layer

Virulence functions

Microbial structures, enzymes, and acquisition systems implicated by the linked evidence.
preliminary confidence
Lipopolysaccharide LPSSiderophoresIron Acquisition SystemsNickel Dependent EnzymesMetal Efflux PumpsMetalloproteasesHydrogenaseOxidative Stress EnzymesFungal Biofilm FormationBeta-GlucuronidaseFungal Riboflavin Biosynthesis Antigens
Encyclopedia article

The disease record, in full.

The original WikiBiome disease narrative remains intact beneath the generated signature atlas.

Metallomic Signature#

Metal-specific evidence in MS is sparse. No comprehensive metallomics study of MS biofluids was identified in the source literature. The relevant metal connections are indirect.

Iron: Iron accumulation in deep gray matter structures (thalamus, caudate, putamen) is documented by MRI and pathology in progressive MS, likely reflecting both neurodegeneration and impaired iron homeostasis.[2]Biomarkers in Multiple Sclerosis: Analysis of the Present Advantages and Look to the FutureValentina Ignatova · 2023Open reference 2 Peripherally, urine iron is significantly lower in MS patients.[3]Effect of heavy metals and sialic acid in multiple sclerosisServin Yesil Günal, Hikmet Saçmacı, Şerife Saçmacı et al. · 2018Open reference 3

Ferroptosis mechanisms relevant to other neurodegenerative diseases (Parkinson's, Alzheimer's) may apply.

Zinc: Zinc is essential for oligodendrocyte function and myelin production. Zinc deficiency impairs remyelination in animal models.

Copper: Ceruloplasmin (the major copper (Cu)-carrying protein) has ferroxidase activity critical for iron homeostasis in the CNS. Disrupted copper trafficking could contribute to iron accumulation.

Manganese: manganese (Mn) is a cofactor for MnSOD and TCA cycle enzymes. The metabolic shift from oxidative phosphorylation to glycolysis observed in MS-associated T cells[4]Variations in diet cause alterations in microbiota and metabolites that follow changes in disease severity in a multiple sclerosis modelLibbey JE, Sanchez JM, Doty DJ et al. · 2018Open reference 4 involves manganese-dependent enzyme pathways.

The absence of a clear metallomic signature does not mean metals are irrelevant to MS—it means the research has not been done.

A Turkish case-control study (52 MS vs 41 controls) found significantly elevated urinary nickel (Ni), cadmium (Cd), lead (Pb), arsenic (As), aluminum (Al), manganese, copper, and barium (Ba) in MS patients, with nickel (OR 1.47), cadmium (OR 1.45), and lead (OR 1.32) emerging as independent risk factors.[3]Effect of heavy metals and sialic acid in multiple sclerosisServin Yesil Günal, Hikmet Saçmacı, Şerife Saçmacı et al. · 2018Open reference 3

The gut microbiome evidence below suggests that metals exert their influence on MS indirectly, through reshaping the microbial communities that regulate immune function via the gut-brain axis.

Gut Microbiome Connection#

The microbiome-MS literature in this wiki is concentrated in five sources that together build a coherent picture of probiotic-mediated immune modulation.

Foundational case-control work has repeatedly documented an MS Dysbiosis pattern: Prevotella depletion, Akkermansia enrichment, methanogen (Methanobrevibacter) expansion,[5]Alterations of the human gut microbiome in multiple sclerosisSushrut Jangi, Roopali Gandhi, Laura M. Cox et al. · 2016Open reference 5 and striking depletion of Clostridia clusters XIVa and IV (14 of 21 differentially abundant species belong to the Clostridia clade, all reduced in MS).[6]Dysbiosis in the Gut Microbiota of Patients with Multiple Sclerosis, with a Striking Depletion of Species Belonging to Clostridia XIVa and IV ClustersSachiko Miyake, Sangwan Kim, Wataru Suda et al. · 2015Open reference 6

A meta-analysis of MS microbiome studies has since confirmed this signature across populations.[7]Meta-Analysis Identifies Common Gut Microbiota Associated with Multiple SclerosisLin Q, Dorsett Y, Mirza A et al. · 2024Open reference 7

Probiotic Clinical Trials in MS#

[8]Clinical and metabolic response to probiotic supplementation in patients with multiple sclerosis: A randomized, double-blind, placebo-controlled trialKouchaki E, Tamtaji OR, Salami M et al. · 2017Open reference 8—The landmark trial. 60 RRMS patients randomized to a four-strain probiotic (L. acidophilus, L. casei, B. bifidum, L. fermentum, each 2x10^9 CFU/g) or placebo for 12 weeks.

Results:

OutcomeProbiotic ChangePlacebo Changep-value
EDSS (disability)-0.3+0.10.001
BDI (depression)-5.6-1.1<0.001
hs-CRP-1.3-0.40.01
HOMA-IR (insulin resistance)-0.6+0.20.001
MDA (lipid peroxidation)+0.009+0.30.04
Total-/HDL-cholesterol-0.1+0.10.02

The EDSS improvement is particularly notable—a 0.4-point difference in EDSS between groups over 12 weeks is clinically meaningful for a disease typically measured in years of progression.

[9]The Effects of Probiotic Supplementation on Gene Expression Related to Inflammation, Insulin, and Lipids in Patients With Multiple Sclerosis: A Randomized, Double-Blind, Placebo-Controlled TrialTamtaji OR, Kouchaki E, Salami M et al. · 2017Open reference 9—Companion study using the same probiotic formulation in 40 RRMS patients. Demonstrated significant downregulation of IL-8 (p<0.001) and TNF-alpha (p<0.001) gene expression in PBMCs.

No effect on IL-1, PPAR-gamma, or LDLR. Note: This paper has an Expression of Concern (2022) regarding data integrity; the authors could not provide original data. Results should be interpreted with caution.

[10]A probiotic modulates the microbiome and immunity in multiple sclerosisTankou SK, Regev K, Healy BC et al. · 2018Open reference 10—VSL#3 (multi-strain probiotic) modulated both gut microbiome composition and peripheral immune responses in MS patients, with effects on regulatory T cell populations. One of the first studies combining microbiome sequencing, metabolomics, and immune profiling in MS.

Animal Model Evidence#

[4]Variations in diet cause alterations in microbiota and metabolites that follow changes in disease severity in a multiple sclerosis modelLibbey JE, Sanchez JM, Doty DJ et al. · 2018Open reference 4—Diet composition alone (irradiated vs. autoclaved rodent chow) was sufficient to alter gut microbial communities and significantly change EAE severity. Key findings.

Lactobacillus abundance inversely correlated with EAE severity (Spearman r = -0.67). Therapeutic L. paracasei treatment: only 9/13 treated mice developed EAE vs. 15/15 controls (p<0.05), with significantly lower clinical scores.

Disease-associated mice showed a metabolic shift toward glycolysis and away from oxidative phosphorylation—the same metabolic shift seen in inflammatory T cells in human MS.

TCA cycle metabolites (citric acid, isocitric acid, malic acid, fumaric acid) were higher in protected mice.

The metal connection: TCA cycle enzymes require iron (Fe), manganese (Mn), and other metals as cofactors. Diet-driven changes in microbial metal availability could affect the metabolic output of gut bacteria, altering the balance of anti-inflammatory SCFA production versus pro-inflammatory metabolite generation.

[11]Streptococcus thermophilus ST285 Alters Pro-Inflammatory to Anti-Inflammatory Cytokine Secretion against Multiple Sclerosis Peptide in MiceDargahi N, Matsoukas J, Apostolopoulos V · 2020Open reference 11Streptococcus thermophilus ST285 shifted the immune response from pro-inflammatory Th1 to anti-inflammatory Th2 in MBP83-99-immunized mice. IFN-gamma (Th1): significantly reduced.

IL-4 (Th2): approximately 3-fold increase (p<0.001). IL-10 (regulatory): approximately 4-fold increase (p<0.001).

IL-5: significantly increased (p<0.01).

The IL-10 increase is particularly important: IL-10 drives naive CD4+ T cell differentiation into Tregs, supporting an anti-inflammatory phenotype. This Th1-to-Th2 shift is precisely what would be therapeutic in MS, where autoreactive Th1/Th17 responses drive demyelination.

Metal-Microbiome-Brain Pathway#

While direct metal-MS studies are lacking, the evidence supports a plausible pathway.

Dietary metals shape gut microbiome composition (extensively documented in this wiki for cadmium (Cd), lead (Pb), nickel (Ni), arsenic (As)). Gut microbiome composition determines EAE/MS severity (Libbey 2018: Lactobacillus r = -0.67). Specific probiotics shift cytokine profiles toward anti-inflammatory (Dargahi 2020: Th1 to Th2).

Cytokine shifts produce clinical improvement (Kouchaki 2017: EDSS -0.3, hs-CRP -1.3).

The missing link is step 1 applied specifically to MS. Do MS patients have altered metal exposures or handling that reshape their gut microbiome toward a pro-inflammatory, pro-demyelinating community?

Environmental Metal Exposure Links#

Direct case-control evidence links environmental metal exposure to MS risk: in a Turkish cohort, urinary nickel (Ni), cadmium (Cd), lead (Pb), aluminum (Al), arsenic (As), copper (Cu), manganese (Mn), silver (Ag), barium (Ba), Cs, Rb, and strontium (Sr) were all significantly elevated in MS patients, and Heavy Metals collectively carried ~1.5-fold increased MS risk.[3]Effect of heavy metals and sialic acid in multiple sclerosisServin Yesil Günal, Hikmet Saçmacı, Şerife Saçmacı et al. · 2018Open reference 3

Beyond this. Smoking (cadmium, lead, nickel) is an established MS risk factor, increasing risk approximately 1.5-fold. Mercury from dental amalgams was historically hypothesized as an MS trigger, but epidemiological evidence does not support a causal link.

Lead exposure in childhood has been associated with increased MS risk in some studies.[3]Effect of heavy metals and sialic acid in multiple sclerosisServin Yesil Günal, Hikmet Saçmacı, Şerife Saçmacı et al. · 2018Open reference 3 Iron supplementation effects on MS gut microbiome have not been studied.

The gap in environmental metal-MS research is striking given the strong microbiome evidence. This represents a clear research opportunity.

Current Interventions with Metal Relevance#

InterventionMechanismEvidence Level
Multi-strain probiotics (Lactobacillus + Bifidobacterium)Reduce hs-CRP, improve EDSS, shift cytokines, reduce insulin resistanceRCT (Kouchaki 2017)
S. thermophilusTh1-to-Th2 cytokine shift; IL-10/Treg inductionAnimal model (Dargahi 2020)
L. paracaseiReduced EAE incidence and severity; metabolic shift toward OXPHOSAnimal model (Libbey 2018)
VSL#3Microbiome + immune modulationHuman trial (Tankou 2018)
Dietary optimizationLow-glycemic, Mediterranean-style diets reduce Metal-Driven Inflammation; diet composition alters microbiome and metabolitesAnimal model + epidemiological

Open Questions#

Unresolved questions identified by the current evidence record.

01MS metallomic profiling: What does a comprehensive multi-element analysis of MS patient biofluids reveal?

Do MS patients show the copper (Cu)/zinc (Zn) disruption common in other autoimmune diseases?

02Iron in progressive MS: Is deep gray matter iron accumulation a cause of progression (via ferroptosis) or a consequence of neurodegeneration?

Would iron chelation slow progression?

03Dietary metals and MS gut microbiome: Do dietary nickel (Ni), cadmium (Cd), or lead (Pb) exposures affect the abundance of protective Lactobacillus species in MS patients?

The current WikiBiome record identifies this as an unresolved evidence gap.

04Probiotic strain optimization: Which specific strains produce the strongest Th1-to-Th2 shift?

Can metal-binding probiotic strains (e.g., L. plantarum CCFM8610 for cadmium (Cd)) simultaneously detoxify metals and modulate immunity?

05Metabolic-metallomic intersection: The glycolysis-to-OXPHOS shift in disease-associated T cells involves metal-dependent enzymes. Can metal cofactor supplementation (manganese (Mn), iron (Fe)) shift T cell metabolism back toward OXPHOS?

The current WikiBiome record identifies this as an unresolved evidence gap.

06Data integrity: The Expression of Concern on Tamtaji 2017 (companion to Kouchaki 2017) raises questions about the gene expression data. Does the clinical data from Kouchaki 2017 stand independently?

The current WikiBiome record identifies this as an unresolved evidence gap.

Comorbidities#

Depression—depression affects 30-50% of MS patients; probiotic trials showed significant BDI improvement alongside EDSS improvement (BDI -5.6 vs -1.1, p<0.001); shared gut-brain axis disruption, SCFA depletion, and tryptophan pathway shifts toward pro-inflammatory kynurenine; depression independently worsens MS disability trajectory.

Anxiety Disorders—anxiety disorders in 20-40% of MS patients; disease unpredictability and progressive disability compound neurobiological mechanisms; shared HPA axis dysregulation and vagal tone disruption.

Inflammatory Bowel Disease (IBD)—bidirectional association: IBD patients have increased MS risk and vice versa; shared HLA-DRB1 genetic architecture; Mendelian randomization shows Crohn's increases Graves' disease risk by 30%, indicating shared autoimmune gut-immune pathways; both feature Th1/Th17 dysregulation and SCFA producer depletion.

Connections#

  • Metal-Disease Matrix: A Cross-Source Synthesis—Cross-disease metallomic comparison; MS metal signature is thin but included
  • Gut-Metal-Microbiome Interactions—The primary pathway connecting metals to MS is through microbiome modulation
  • Probiotics—Strongest intervention evidence in this disease; multi-strain formulations improve EDSS
  • Iron—CNS iron accumulation in progressive MS; ferroptosis mechanisms
  • Zinc—Essential for oligodendrocyte function and remyelination
  • Manganese—TCA cycle enzyme cofactor; metabolic shift in MS T cells involves manganese (Mn) pathways
  • Nickel—S. thermophilus is a Streptococcus species; metal homeostasis in Streptococci is relevant to understanding probiotic mechanisms
  • Neurodegeneration and Metals—progressive MS involves iron-driven neurodegeneration with ferroptosis in oligodendrocytes
  • gut microbiome—MS microbiome shows reduced SCFA producers and enriched pro-inflammatory taxa
  • Biomarkers—EDSS, CSF neurofilaments, and brain iron on MRI as MS progression markers
  • Indoles—microbial indole derivatives activate astrocytic AhR, suppressing Neuroinflammation; depleted in MS gut

Additional Supporting Evidence#

Bile acid metabolism—Both primary and secondary bile acid metabolites are significantly reduced in adult and pediatric MS, with TUDCA supplementation ameliorating neuroinflammation through GPBAR1 receptor signaling in EAE.[12]Bile acid metabolism is altered in multiple sclerosis and supplementation ameliorates neuroinflammationPavan Bhargava, Matthew D. Smith, Leah Mische et al. · 2020Open reference 12

SCFA reduction—Fecal SCFAs and serum propionate/Butyrate are lower in MS and correlate with altered T/B cell subsets and elevated intestinal inflammation markers (calprotectin).[13]Short-chain fatty acids and intestinal inflammation in multiple sclerosis: modulation of female susceptibility by microbial products?Anouck Becker, Mosab Abuazab, Andreas Schwiertz et al. · 2021Open reference 13[14]Associations of serum short-chain fatty acids with circulating immune cells and serum biomarkers in patients with multiple sclerosisStephanie Trend, Jonatan Leffler, Anderson P. Jones et al. · 2021Open reference 14

MAIT cells and gut yeasts—MS patients show elevated fecal fungal abundance (S. cerevisiae, C. albicans), and their MAIT cells are hyper-activated by fungal extracts via IL-23, producing IL-17, GM-CSF, and CCL20; MAIT cells infiltrate 53% of progressive MS brain lesions.[15]Proinflammatory Mucosal-Associated Invariant CD8+ T Cells React to Gut Flora Yeasts and Infiltrate Multiple Sclerosis BrainFrancesca Gargano, Gisella Guerrera, Eleonora Piras et al. · 2022Open reference 15 *Torulaspora* and *Debaryomyces* are also enriched in MS mycobiota, with Torulaspora associated with lower disability and Debaryomyces characteristic of HLA-DRB1*1501 carriers.[16]Exploring the Mycobiota in Multiple Sclerosis: Its Influence on Disease Development and ProgressionAne Otaegui-Chivite, Miriam Gorostidi-Aicua, Laura Martins-Almeida et al. · 2025Open reference 16

Ketogenic diet—A 6-month ketogenic diet restored colonic microbiome mass and essential bacteria (Roseburia, Bacteroides, F. prausnitzii) in MS patients to healthy-control levels.[17]Reduced Mass and Diversity of the Colonic Microbiome in Patients with Multiple Sclerosis and Their Improvement with Ketogenic DietSwidsinski A, Dorfel Y, Loening-Baucke V et al. · 2017Open reference 17

Disease-progression signatures—Commensal microbiota signatures predict clinical severity and progression in MS,[18]Identification of commensal gut microbiota signatures as predictors of clinical severity and disease progression in multiple sclerosisTheresa L. Montgomery, Qin Wang, Ali Mirza et al. · 2024Open reference 18 and gut microbiota composition varies with disease activity (F. prausnitzii and Gordonibacter reduced during active inflammation).[19]The Gut Microbiota in Multiple Sclerosis Varies with Disease ActivityThirion F, Sellebjerg F, Fan Y et al. · 2023Open reference 19

B-cell depletion therapy—Ocrelizumab (anti-CD20) partially reverses MS-associated oral and gut dysbiosis over 12 months, shifting Bacteroidetes/Firmicutes balance toward healthy-control patterns.[20]B-cell-depletion reverses dysbiosis of the microbiome in multiple sclerosis patientsAlba Troci, Olga Zimmermann, Daniela Esser et al. · 2022Open reference 20

Oral microbiome—Oral dysbiosis with a distinct metabolite signature is detectable in MS and may be more pronounced than gut dysbiosis as a disease trait.[21]Investigating the metabolite signature of an altered oral microbiota as a discriminant factor for multiple sclerosis: a pilot studyLéo Boussamet, Emmanuel Montassier, Camille Mathé et al. · 2024Open reference 21

MS metabolomics—Comprehensive metabolomic profiling of MS cohorts.[22]An emerging potential of metabolomics in multiple sclerosis: a comprehensive overviewInsha Zahoor, Bin Rui, Junaid Khan et al. · 2021Open reference 22 Diet-MS mechanism—Dietary intake shapes MS-relevant gut-brain signaling via microbiota.[23]The Role of Diet in Multiple Sclerosis: Mechanistic Connections and Current EvidenceKatz Sand I · 2018Open reference 23 Mycobiota progression—Altered gut mycobiota tracks MS progression.[16]Exploring the Mycobiota in Multiple Sclerosis: Its Influence on Disease Development and ProgressionAne Otaegui-Chivite, Miriam Gorostidi-Aicua, Laura Martins-Almeida et al. · 2025Open reference 16

Generated evidence record

References 28

Numbered by first appearance in the article, then reconciled with its declared source list.

  1. 1

    Kathrine E. Attfield, Lise Torp Jensen, Max Kaufmann et al. (2022). The immunology of multiple sclerosis. Nature Reviews Immunology.

  2. 2

    Valentina Ignatova (2023). Biomarkers in Multiple Sclerosis: Analysis of the Present Advantages and Look to the Future. Journal of Psychology and Neuroscience.

  3. 3

    Servin Yesil Günal, Hikmet Saçmacı, Şerife Saçmacı et al. (2018). Effect of heavy metals and sialic acid in multiple sclerosis. International Research Journal of Public and Environmental Health.

  4. 4

    Libbey JE, Sanchez JM, Doty DJ et al. (2018). Variations in diet cause alterations in microbiota and metabolites that follow changes in disease severity in a multiple sclerosis model. Beneficial Microbes.

  5. 5

    Sushrut Jangi, Roopali Gandhi, Laura M. Cox et al. (2016). Alterations of the human gut microbiome in multiple sclerosis. Nature Communications.

  6. 6

    Sachiko Miyake, Sangwan Kim, Wataru Suda et al. (2015). Dysbiosis in the Gut Microbiota of Patients with Multiple Sclerosis, with a Striking Depletion of Species Belonging to Clostridia XIVa and IV Clusters. PLoS ONE.

  7. 7

    Lin Q, Dorsett Y, Mirza A et al. (2024). Meta-Analysis Identifies Common Gut Microbiota Associated with Multiple Sclerosis. Genome Medicine.

  8. 8

    Kouchaki E, Tamtaji OR, Salami M et al. (2017). Clinical and metabolic response to probiotic supplementation in patients with multiple sclerosis: A randomized, double-blind, placebo-controlled trial. Clinical Nutrition.

  9. 9

    Tamtaji OR, Kouchaki E, Salami M et al. (2017). The Effects of Probiotic Supplementation on Gene Expression Related to Inflammation, Insulin, and Lipids in Patients With Multiple Sclerosis: A Randomized, Double-Blind, Placebo-Controlled Trial. Journal of the American College of Nutrition.

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    Tankou SK, Regev K, Healy BC et al. (2018). A probiotic modulates the microbiome and immunity in multiple sclerosis. Annals of Neurology.

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    Dargahi N, Matsoukas J, Apostolopoulos V (2020). Streptococcus thermophilus ST285 Alters Pro-Inflammatory to Anti-Inflammatory Cytokine Secretion against Multiple Sclerosis Peptide in Mice. Brain Sciences.

  12. 12

    Pavan Bhargava, Matthew D. Smith, Leah Mische et al. (2020). Bile acid metabolism is altered in multiple sclerosis and supplementation ameliorates neuroinflammation. Journal of Clinical Investigation.

  13. 13

    Anouck Becker, Mosab Abuazab, Andreas Schwiertz et al. (2021). Short-chain fatty acids and intestinal inflammation in multiple sclerosis: modulation of female susceptibility by microbial products?. Autoimmunity Highlights.

  14. 14

    Stephanie Trend, Jonatan Leffler, Anderson P. Jones et al. (2021). Associations of serum short-chain fatty acids with circulating immune cells and serum biomarkers in patients with multiple sclerosis. Scientific Reports.

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    Francesca Gargano, Gisella Guerrera, Eleonora Piras et al. (2022). Proinflammatory Mucosal-Associated Invariant CD8+ T Cells React to Gut Flora Yeasts and Infiltrate Multiple Sclerosis Brain. Frontiers in Immunology.

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    Ane Otaegui-Chivite, Miriam Gorostidi-Aicua, Laura Martins-Almeida et al. (2025). Exploring the Mycobiota in Multiple Sclerosis: Its Influence on Disease Development and Progression. Frontiers in Immunology.

  17. 17

    Swidsinski A, Dorfel Y, Loening-Baucke V et al. (2017). Reduced Mass and Diversity of the Colonic Microbiome in Patients with Multiple Sclerosis and Their Improvement with Ketogenic Diet. Frontiers in Microbiology.

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    Theresa L. Montgomery, Qin Wang, Ali Mirza et al. (2024). Identification of commensal gut microbiota signatures as predictors of clinical severity and disease progression in multiple sclerosis. Scientific Reports.

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    Thirion F, Sellebjerg F, Fan Y et al. (2023). The Gut Microbiota in Multiple Sclerosis Varies with Disease Activity. Genome Medicine.

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    Alba Troci, Olga Zimmermann, Daniela Esser et al. (2022). B-cell-depletion reverses dysbiosis of the microbiome in multiple sclerosis patients. Scientific Reports.

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    Léo Boussamet, Emmanuel Montassier, Camille Mathé et al. (2024). Investigating the metabolite signature of an altered oral microbiota as a discriminant factor for multiple sclerosis: a pilot study. Scientific Reports.

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    Insha Zahoor, Bin Rui, Junaid Khan et al. (2021). An emerging potential of metabolomics in multiple sclerosis: a comprehensive overview. Cellular and Molecular Life Sciences.

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    Katz Sand I (2018). The Role of Diet in Multiple Sclerosis: Mechanistic Connections and Current Evidence. Current Nutrition Reports.

  24. 24

    Swidsinski A, Dorfel Y, Loening-Baucke V et al. (2017). Reduced Mass and Diversity of the Colonic Microbiome in Patients with Multiple Sclerosis and Their Improvement with Ketogenic Diet. Frontiers in Microbiology.

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    Zahra Zangeneh, Mosayeb Rostamian, Hamid Motamedi et al. (2025). The potential effectiveness of probiotics in reducing multiple sclerosis progression in preclinical and clinical studies: A worldwide systematic review and meta-analysis. PLoS One.

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    Sweta Ghosh, Syam P. Nukavarpu, Venkatakrishna Rao Jala (2024). Effects of Heavy Metals on Gut Barrier Integrity and Gut Microbiota. Microbiota and Host.

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    Qinheng Zhu, Boyan Chen, Fu Zhang et al. (2024). Toxic and Essential Metals: Metabolic Interactions with the Gut Microbiota and Health Implications. Frontiers in Nutrition.

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    Federica Giambo, Sebastiano Italia, Michele Teodoro et al. (2021). Influence of Toxic Metal Exposure on the Gut Microbiota (Review). World Academy of Sciences Journal.

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