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Rheumatoid Arthritis

May 20, 2025

Rheumatoid arthritis (A) is a systemic autoimmune disease marked by chronic joint inflammation, synovitis, and bone erosion, driven by Th17 imbalance, excessive L-17, NF-α, and L-1 production, and macrophage activation. Emerging evidence links microbial dysbiosis and heavy metal exposure to A, [1][2] with gut microbiota influencing autoimmune activation via Toll-like receptor (LR) signaling, inflammasome activation, […]

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Last Updated: May 20, 2025

Microbiome Signatures identifies and validates condition-specific microbiome shifts and interventions to accelerate clinical translation. Our multidisciplinary team supports clinicians, researchers, and innovators in turning microbiome science into actionable medicine.

Karen Pendergrass

Karen Pendergrass is a microbiome researcher specializing in microbiome-targeted interventions (MBTIs). She systematically analyzes scientific literature to identify microbial patterns, develop hypotheses, and validate interventions. As the founder of the Microbiome Signatures Database, she bridges microbiome research with clinical practice. In 2012, based on her own investigative research, she became the first documented case of FMT for Celiac Disease—four years before the first published case study.

Overview

Rheumatoid arthritis (RA) is a systemic autoimmune disease marked by chronic joint inflammation, synovitis, and bone erosion, driven by Treg/Th17 imbalance, excessive IL-17, TNF-α, and IL-1 production, and macrophage activation. Emerging evidence links microbial dysbiosis and heavy metal exposure to RA, [1][2] with gut microbiota influencing autoimmune activation via Toll-like receptor (TLR) signaling, inflammasome activation, and molecular mimicry, contributing to systemic immune dysfunction.

Associated Conditions

Conditions such as periodontitis, autoimmune thyroid disorders (Hashimoto’s, Graves’), multiple sclerosis (MS), and inflammatory bowel disease (IBD). RA is also linked to nonalcoholic fatty liver disease (NAFLD), fibromyalgia, and chronic fatigue syndrome (CFS). These associations highlight RA’s systemic complexity beyond joint inflammation.

Causes

Rheumatoid arthritis (RA) is a complex, multifactorial disease influenced by genetic predisposition, immune dysregulation, environmental exposures, and metabolic factors. While traditional theories emphasize the role of HLA-DR4 and HLA-DR1 genetic risk factors, along with autoantibody production and inflammatory cytokines such as TNF-α, IL-6, and IL-1β, a more holistic approach integrates emerging insights into microbial-metal interactions and their contribution to disease progression. Heavy metal dysregulation, in particular, has been implicated in immune dysfunction, oxidative stress, and the disruption of gut and oral microbiota, which collectively exacerbate RA pathogenesis.

Primer

Microbial-metal interactions play a significant role in the pathogenesis of rheumatoid arthritis (RA), with heavy metal dysregulation contributing to immune dysregulation and oxidative stress. High soil copper (Cu) exposure has been correlated with increased inflammation in RA patients, with Cu levels positively associated with erythrocyte sedimentation rate (ESR), platelet count, and disease activity (DAS28). [3] Lead (Pb) and cadmium (Cd) further exacerbate immune dysfunction, with Cd inhibiting superoxide dismutase, thereby reducing antioxidant defenses and increasing joint damage. [4][5] Elevated nickel (Ni) levels in RA patients have been linked to inflammasome activation, while increased chromium (Cr) concentrations affect immune tolerance and oxidative stress. [6] Additionally, microbial dysbiosis influences metal homeostasis, as Porphyromonas gingivalis enhances metal-driven citrullination, accelerating autoimmunity. [7] Gut microbial shifts, particularly Prevotella overgrowth and Akkermansia depletion, further impact metal absorption and immune function, reinforcing the intricate relationship between heavy metal exposure, microbial imbalances, and RA pathogenesis. [8]

Metal Homeostasis in RA

MetalMechanism
Copper (Cu)Promotes IL-6, TNF-α, neutrophil activation​. [9]
Lead (Pb)Induces ROS, disrupts immune tolerance​. [10]
Cadmium (Cd)Inhibits SOD, increases oxidative stress​. [11]
Nickel (Ni)Induces IL-1β, Th17 responses​. [13]
Chromium (Cr)Alters mitochondrial function, immune suppression​. [14]

Microbiome Signature: Rheumatoid Arthritis

Major Microbial Associations

Major Microbial Associations in RA patients:

Increased Microbes (Pathobionts)Decreased Microbes (Protective) & Viruses
Prevotella dentalisRothia dentocariosa
Prevotella denticolaFaecalibacterium prausnitzii
Treponema dentalisGranulicatella
SelenomonadalesVeillonella rogosae
SelenomonasLactobacillus gasseri
Prevotella
Epstein-Barr virus (EBV)
Actinomyces
Tannerella
Treponema

Research Feed

Role of Some Heavy Metals in Rheumatoid Arthritis
March 2, 2023
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This study explored the association between rheumatoid arthritis and heavy metal exposure, identifying a significant deficiency of copper in RA patients. No significant correlations were found for zinc, cobalt, lead, or nickel. The findings suggest that copper deficiency may play a role in RA, warranting further research on trace metals in autoimmune diseases.

What was studied?

This study investigated the association between heavy metal concentrations and rheumatoid arthritis (RA). Specifically, it examined the serum levels of zinc (Zn), cobalt (Co), lead (Pb), nickel (Ni), and copper (Cu) in RA-positive and RA-negative individuals. The study also analyzed variations in metal levels based on sex and two age groups (below 35 years and 35 years and above) to determine if these factors influenced the relationship between heavy metal exposure and RA.

Who was studied?

The study included blood samples from patients suspected of having RA, collected from diagnostic laboratories in Sargodha, Pakistan. The participants were grouped based on their RA status (RA-positive and RA-negative), sex, and age category. Serum metal concentrations were analyzed using atomic absorption spectrophotometry (AAS), and statistical comparisons were made using a two-sample t-test to determine differences between groups.

Most Important Findings

The study found a significant decrease in serum copper (Cu) levels in RA-positive patients compared to RA-negative individuals (p=0.04). However, there was no significant relationship between RA and the concentrations of zinc (Zn), cobalt (Co), lead (Pb), and nickel (Ni). Additionally, no significant correlation was observed between heavy metal concentrations and sex or age group within the RA-positive cohort. While some previous studies reported lower zinc levels in RA patients, this study did not find any significant association between RA and Zn deficiency. The findings also contradicted prior research that suggested elevated Pb levels in RA patients, as no significant difference was observed in this study. The observed variations between this study and previous research may be due to genetic, environmental, or dietary differences in the study populations.

Greatest Implications

The study provides evidence that copper deficiency may be associated with RA, potentially implicating copper in the disease's pathophysiology. This aligns with existing research suggesting that copper plays a role in inflammatory and immune system regulation. However, the lack of significant findings for other metals highlights the need for further research to determine their exact impact on RA development and progression. Given that previous studies have reported conflicting results regarding heavy metals and RA, it is crucial to consider factors such as geographic variation, dietary intake, and environmental exposures in future research. Understanding the role of trace metals in RA could contribute to novel therapeutic strategies, including dietary interventions or supplementation for patients with confirmed deficiencies.

Analyzing the impact of heavy metal exposure on osteoarthritis and rheumatoid arthritis: an approach based on interpretable machine learning
July 1, 2024
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Machine learning analysis of NHANES data (2003–2020) identifies tungsten, cadmium, arsenic, and antimony as major risk factors for arthritis. SHAP-based models suggest these metals contribute to inflammation and cartilage degradation, reinforcing environmental exposure as a key component of arthritis development.

What Was Studied?

This study examined the impact of heavy metal exposure on the prevalence and differentiation of osteoarthritis (OA) and rheumatoid arthritis (RA) using interpretable machine learning models. Researchers analyzed data from the National Health and Nutrition Examination Survey (NHANES) (2003–2020) to assess how various heavy metals contribute to arthritis risk.

Who Was Studied?

The study population consisted of 14,319 participants from NHANES who met specific inclusion criteria, including age ≥ 20 years and confirmed arthritis status via blood and urine heavy metal testing.

Key Findings

Using machine learning techniques such as LASSO regression and SHapley Additive exPlanations (SHAP), the study identified tungsten, cobalt, cadmium, antimony, arsenic, and blood cadmium as significant risk factors for arthritis, while molybdenum, thallium, lead, and mercury appeared to have a protective or neutral association. Cadmium exposure showed a strong correlation with rheumatoid arthritis (RA), likely due to its role in oxidative stress and inflammation, while arsenic exposure was linked to both osteoarthritis (OA) and RA, with previous studies indicating its contribution to cartilage degradation. Tungsten and antimony emerged as newly recognized risk factors, though their mechanisms remain unclear. In contrast, molybdenum exhibited a potential protective effect, possibly by counteracting inflammation. The study’s machine learning models demonstrated high predictive accuracy, with XGBoost achieving 81% accuracy in identifying arthritis and LightGBM distinguishing between OA and RA with 76% accuracy.

Greatest Implications

This study reinforces the environmental component of arthritis development, suggesting that heavy metal exposure contributes to arthritis risk and progression. Machine learning models, particularly SHAP-based interpretations, provide valuable predictive tools for early detection. The findings highlight tungsten, cobalt, cadmium, and arsenic as potential modifiable risk factors, paving the way for targeted interventions to reduce arthritis prevalence.

Shared Gut Microbiota Dysbiosis in Immune-Mediated Diseases: Insights and Biomarkers
December 13, 2018
/
Autoimmune Diseases
Autoimmune Diseases

Did you know?
Americans are over three times more likely to suffer from autoimmune diseases compared to the global average, with approximately 16.67% of the U.S. population affected versus 5% worldwide.

Multiple Sclerosis (MS)
Multiple Sclerosis (MS)

Did you know? 

Several studies provide evidence of a potential association between occupational zinc exposure and an increased incidence of MS [x,x,x,x,x].

The study identifies gut microbial dysbiosis and specific taxa associated with Crohn's disease, ulcerative colitis, multiple sclerosis, and rheumatoid arthritis. Findings support common microbial markers across IMIDs and their diagnostic potential.

What was studied?

This study explored the gut microbiota composition in patients with immune-mediated inflammatory diseases (IMIDs) such as Crohn’s disease (CD), ulcerative colitis (UC), multiple sclerosis (MS), and rheumatoid arthritis (RA) compared to healthy controls (HC). Using 16S rRNA gene sequencing, researchers assessed microbial diversity, richness, and specific taxonomic biomarkers to identify common and unique microbial features across these IMIDs. Machine learning techniques were applied to differentiate microbial patterns between diseases and controls further.

Who was studied?

The cohort included 79 patients across the four IMIDs (20 with CD, 19 with UC, 19 with MS, 21 with RA) and 23 healthy controls. Participants were adults, not on antibiotics for at least eight weeks, and recruited from clinical centers in Canada. Stool samples were collected twice within a two-month interval for analysis.

What were the most important findings?

The study revealed significant microbial dysbiosis in all IMIDs compared to healthy controls. Richness and diversity were lowest in CD and highest in HCs. Taxa such as Actinomyces, Eggerthella, and Streptococcus were enriched in disease cohorts, while beneficial taxa like Roseburia and Gemmiger were depleted. Disease-specific patterns were also identified: Intestinibacter in CD, Bifidobacterium in UC, and unclassified Erysipelotrichaceae in MS. Machine learning highlighted microbial signatures capable of differentiating diseases from HC, with the best classification accuracy observed in CD versus HC (AUC = 0.95).

Key Findings

Microbial Diversity and Richness: Patients with IMIDs exhibited reduced gut microbial richness and diversity compared to HCs, with CD showing the lowest diversity.

Common Dysbiosis Across IMIDs: Certain taxa, such as Actinomyces, Eggerthella, Faecalicoccus, and Streptococcus, were consistently enriched in IMID patients, while Gemmiger, Lachnospira, and Sporobacter were depleted across all disease cohorts.

Disease-Specific Microbiota Signatures: Intestinibacter was elevated in CD. Bifidobacterium was enriched in UC. Erysipelotrichaceae was more abundant in MS. Roseburia was significantly reduced in RA.

Machine Learning Classification: Machine learning models effectively distinguished between IMID and HC cohorts, with the highest classification accuracy for CD (AUC ~0.95). Features like Gemmiger (elevated in HCs) and Faecalicoccus (elevated in IMIDs) were identified as significant markers.

Gram-Positive Focus: The study highlighted an unusually low abundance of Gram-negative bacteria, focusing analysis on Gram-positive taxa, which still yielded meaningful insights into IMID-specific dysbiosis.

What are the greatest implications of this study?

The findings underscore the potential of gut microbiota as diagnostic biomarkers for IMIDs. Shared microbial patterns suggest a common dysbiotic component in IMID etiology, while distinct taxa provide insight into disease-specific mechanisms. This research highlights the importance of the gut microbiome in IMID pathogenesis and opens avenues for microbiome-targeted interventions (MBTIs).

Interventions


Microbiome-targeted interventions offer a promising avenue for modulating immune responses in rheumatoid arthritis (RA), with probiotic therapy emerging as a potential intervention. Parabacteroides histicola has been shown to restore regulatory T cell (Treg) function, counteracting the pro-inflammatory effects of T helper 17 (Th17) cells, which play a central role in RA pathogenesis. By promoting immune tolerance and reducing systemic inflammation, P. histicola may help mitigate disease progression, offering a microbiome-based approach to complement conventional treatments.

FAQ

References

  1. Role of Some Heavy Metals in Rheumatoid Arthritis.. Arshad, M. ., Riaz, N. ., Bashir, R. ., Irfan, S. ., Khan, S. Y. ., & Tahir, H. M.. (Research Developments in Medicine and Medical Science Vol. 7, 44–50. 2023.)
  2. Comparative Evaluation of Heavy Metals in Patients with Rheumatoid Arthritis and Healthy Control in Pakistani Population.. Irfan S, Rani A, Riaz N, Arshad M, Kashif Nawaz S.. (Iran J Public Health. 2017)
  3. Increased inflammation in rheumatoid arthritis patients living where farm soils contain high levels of copper.. Yang TH, Yuan TH, Hwang YH, Lian IB, Meng M, Su CC.. (J Formos Med Assoc. 2016)
  4. Comparative Evaluation of Heavy Metals in Patients with Rheumatoid Arthritis and Healthy Control in Pakistani Population.. Irfan S, Rani A, Riaz N, Arshad M, Kashif Nawaz S.. (Iran J Public Health. 2017)
  5. Impact of heavy metals on serum vitamin D3 and PTH in fibromyalgia and rheumatoid arthritis and their correlation to disease activity.. Haddad, Rana & Elbeialy, Adel & Sawy, Soaad & Elzomor, Hala.. (2024.)
  6. Increased inflammation in rheumatoid arthritis patients living where farm soils contain high levels of copper.. Yang TH, Yuan TH, Hwang YH, Lian IB, Meng M, Su CC.. (J Formos Med Assoc. 2016)
  7. Comparative Evaluation of Heavy Metals in Patients with Rheumatoid Arthritis and Healthy Control in Pakistani Population.. Irfan S, Rani A, Riaz N, Arshad M, Kashif Nawaz S.. (Iran J Public Health. 2017)
  8. Analyzing the impact of heavy metal exposure on osteoarthritis and rheumatoid arthritis: an approach based on interpretable machine learning.. Fan W, Pi Z, Kong K, Qiao H, Jin M, Chang Y, Zhang J, Li H.. (Front Nutr. 2024)
  9. Increased inflammation in rheumatoid arthritis patients living where farm soils contain high levels of copper.. Yang TH, Yuan TH, Hwang YH, Lian IB, Meng M, Su CC.. (J Formos Med Assoc. 2016)
  10. Comparative Evaluation of Heavy Metals in Patients with Rheumatoid Arthritis and Healthy Control in Pakistani Population.. Irfan S, Rani A, Riaz N, Arshad M, Kashif Nawaz S.. (Iran J Public Health. 2017)
  11. Impact of heavy metals on serum vitamin D3 and PTH in fibromyalgia and rheumatoid arthritis and their correlation to disease activity.. Haddad, Rana & Elbeialy, Adel & Sawy, Soaad & Elzomor, Hala.. (2024.)
  12. Impact of heavy metals on serum vitamin D3 and PTH in fibromyalgia and rheumatoid arthritis and their correlation to disease activity.. Haddad, Rana & Elbeialy, Adel & Sawy, Soaad & Elzomor, Hala.. (2024.)
  13. Increased inflammation in rheumatoid arthritis patients living where farm soils contain high levels of copper.. Yang TH, Yuan TH, Hwang YH, Lian IB, Meng M, Su CC.. (J Formos Med Assoc. 2016)
  14. Impact of heavy metals on serum vitamin D3 and PTH in fibromyalgia and rheumatoid arthritis and their correlation to disease activity.. Haddad, Rana & Elbeialy, Adel & Sawy, Soaad & Elzomor, Hala.. (2024.)

Arshad, M. ., Riaz, N. ., Bashir, R. ., Irfan, S. ., Khan, S. Y. ., & Tahir, H. M.

Role of Some Heavy Metals in Rheumatoid Arthritis.

Research Developments in Medicine and Medical Science Vol. 7, 44–50. 2023.

Read Review

Yang TH, Yuan TH, Hwang YH, Lian IB, Meng M, Su CC.

Increased inflammation in rheumatoid arthritis patients living where farm soils contain high levels of copper.

J Formos Med Assoc. 2016

Yang TH, Yuan TH, Hwang YH, Lian IB, Meng M, Su CC.

Increased inflammation in rheumatoid arthritis patients living where farm soils contain high levels of copper.

J Formos Med Assoc. 2016

Yang TH, Yuan TH, Hwang YH, Lian IB, Meng M, Su CC.

Increased inflammation in rheumatoid arthritis patients living where farm soils contain high levels of copper.

J Formos Med Assoc. 2016

Yang TH, Yuan TH, Hwang YH, Lian IB, Meng M, Su CC.

Increased inflammation in rheumatoid arthritis patients living where farm soils contain high levels of copper.

J Formos Med Assoc. 2016

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