ReviewFrontiers in pharmacology2026
Gut dysbiosis in difficult-to-treat rheumatoid arthritis: hypothesized microbial endotypes, persistent inflammation, and pharmacological treatment resistance.
Review in Frontiers in pharmacology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Difficult-to-treat rheumatoid arthritis (D2T RA) remains a major clinical problem despite treat-to-target care and an expanding range of disease-modifying antirheumatic drugs (DMARDs). D2T RA includes biologically distinct states, particularly persistent inflammatory refractory rheumatoid arthritis (PIRRA) and non-inflammatory refractory rheumatoid arthritis (NIRRA). Direct microbiome evidence in D2T RA is sparse, but studies in established RA, at-risk populations, and treatment-response cohorts suggest that intestinal ecological disruption may sustain inflammation through barrier failure, persistent microbial-product sensing, and impaired metabolite-mediated immune regulation. Gut microorganisms may also influence drug response, especially to methotrexate, while antirheumatic therapy can remodel the microbial ecosystem. We therefore synthesize the literature into three hypothesis-generating functional states, provisionally termed inflammation-amplifying, immune-tolerance-deficient, and poor-drug-response-associated microbial endotypes. These states are not validated patient classes and may overlap or evolve over time. We also propose a microbiota-treatment resistance feedback loop, explicitly as an inferential model rather than an established causal pathway. Microbiota-directed adjuncts are evaluated according to evidence maturity, mechanistic fit, and safety. Overall, the gut microbiota is best considered a potential upstream modifier linking mucosal immunity, persistent inflammation, and pharmacological response, with the most coherent mechanistic relevance to PIRRA. Prospective D2T RA cohorts with objective inflammatory phenotyping, longitudinal multi-omics, and detailed drug-exposure data are needed before these concepts can inform clinical stratification or treatment.
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