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Record W4411846636 · doi:10.3899/jrheum.2025-0314.78

Modulating the Gut-Joint Axis: The Impact of Anti-TNF Therapy on Gut Microbiota in Ankylosing Spondylitis - A Systematic Review

2025· review· en· W4411846636 on OpenAlexvenueno aff
Mahmoud Hashim, Islam Al Ghanam, Ahmed Afifi, Pedro Arias, Herbert Quintanilla, Karun Shrestha, Prakriti Subedi, Lilya Gandrabur

Bibliographic record

VenueThe Journal of Rheumatology · 2025
Typereview
Languageen
FieldMedicine
TopicSpondyloarthritis Studies and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsAnkylosing spondylitisMedicineGut floraSpondylitisTumor necrosis factor alphaImmunologyInternal medicine

Abstract

fetched live from OpenAlex

Objectives Ankylosing Spondylitis (AS) is a chronic inflammatory disorder that primarily affects the spine and pelvis. Here, we aim to explore the Gut-Joint Axis in AS with a focus on changes in alpha diversity (diversity within a single sample) and beta diversity (differences in microbiota composition between samples) following Anti-TNF treatment. Methods A comprehensive search of PubMed, Web of Science, Scopus, Embase, and Cochrane databases was conducted up to May 2024. Studies comparing fecal microbiota composition in AS patients before and after Anti-TNF therapy were identified and selected based on PRISMA guidelines. From an initial pool of 1,163 studies, 5 met inclusion criteria, involving 230 AS patients and 209 healthy controls (HC). We excluded duplicates, animal studies, case reports, conference abstracts, non-English articles, irrelevant studies, non-full-text manuscripts, and Mendelian randomization studies, as these do not provide direct observational data on microbiota composition and could introduce methodological heterogeneity. Results After manually screening 197 studies, 5 manuscripts were included, comprising 4 prospective cohorts and 1 case-control study. All the studies were conducted in China, with 16S rRNA sequencing used in 3 studies and Shotgun sequencing in 2 studies. None of the patients or controls in the included studies received antibiotics within the 3 months prior to enrollment. Across multiple studies, Anti-TNF therapy significantly impacts gut microbiota composition in AS patients, often shifting it toward a pattern more similar to healthy controls. Both alpha and beta diversity metrics show that AS patients have distinct gut microbiota compositions compared to healthy individuals, but Anti-TNF therapy appears to reduce these differences, suggesting a restorative effect on the microbiome (Table 1). Conclusion Our analysis underscores the potential role of gut microbiota as a target in AS treatment. The effect of Anti-TNF therapy on gut microbiota could potentially contribute to its therapeutic efficacy in managing Ankylosing Spondylitis.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.020
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.008
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.020
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0080.007
Bibliometrics0.0080.008
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0040.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.042
GPT teacher head0.358
Teacher spread0.315 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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