Evidence map›Paper›PMID 39930277›Full record

SynthesisClinical rheumatology2025

Evaluating treatment responsiveness in rheumatoid arthritis through predictive metabolomic profiling: A systematic review of studies examining methotrexate, TNF, and IL-6 inhibitors as therapeutic interventions.

Larisa M Musaeva, Ksenia M Shestakova, Sabina N Baskhanova, Valeria G Varzieva, Alex Brito, Irina Menshikova, Svetlana A Appolonova

Abstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Clinical rheumatology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. [Gut-brain-joint axis in rheumatoid arthritis: from microeco-logical disturbance to multi-target synergy].Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences · 2026
    Review
  3. Review
  4. Review
  5. Article
  6. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Larisa M MusaevaThe Department of Hospital Therapy No. 1 of I.M. Sechenov First Moscow State Medical University (Sechenov University), University Clinical Hospital No. 1, , Moscow, Russia.
Ksenia M ShestakovaCentre of Biopharmaceutical Analysis and Metabolomics, Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia.
Sabina N BaskhanovaCentre of Biopharmaceutical Analysis and Metabolomics, Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia.
Valeria G VarzievaCentre of Biopharmaceutical Analysis and Metabolomics, Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia.
Alex BritoSchool of Nutrition and Dietetics, Faculty of Health Care Sciences, Universidad San Sebastián, Patagonia Campus, Puerto Montt, Chile. abrito@micronutriomics.com.ORCID http://orcid.org/0000-0002-6212-8814
Irina MenshikovaThe Department of Hospital Therapy No. 1 of I.M. Sechenov First Moscow State Medical University (Sechenov University), University Clinical Hospital No. 1, , Moscow, Russia.
Svetlana A AppolonovaCentre of Biopharmaceutical Analysis and Metabolomics, Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia. appolonova_s_a@staff.sechenov.ru.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rheumatoid arthritis (RA) is a systemic chronic autoimmune disease characterized by joint damage and systemic involvement. Despite advancements in understanding RA, early diagnosis and effective treatment remain challenging due to the complex pathogenesis and limited specificity of current biomarkers. Metabolomics, offers a promising approach for identifying new biomarkers to assess treatment responsiveness in RA. A systematic review was conducted to identify key metabolites and metabolic pathways that may reveal responsiveness to different drug therapy strategies (methotrexate, TNF, and IL-6 inhibitors) in RA treatment. The systematic search was conducted in PubMed and Google Scholar in accordance with PRISMA recommendations. The risk of bias and the quality of the final selected studies were assessed in duplicate using the Risk Of Bias In Non-randomized Studies - of Interventions (ROBINS-I) tool and using the QUADOMICS tool. Eighteen studies were eligible for data extraction. Metabolomic studies revealed distinct profiles for responders and non-responders to different RA treatments. For methotrexate therapy, key metabolites included for example: homocysteine, glycerol-3-phosphate, and diphosphoglyceric acid. TNF inhibitor response was associated mainly with changes in carbohydrate derivatives and amino acids. IL-6 inhibitor studies identified metabolites such as N-acetylglucosamine, N-acetylgalactosamine, and N-acetylneuraminic acid as potential predictors of response. Across studies, metabolomic profiles demonstrated high sensitivity and specificity in distinguishing responders from non-responders. These studies collectively highlight alterations in TCA cycle metabolites, amino acids, nucleotide metabolism, and lipid profiles, among others. This review supports the identification of better treatment strategies choosing methotrexate, TNF, or IL-6 inhibitors as therapeutic interventions based on metabolomics profiling.

Indexed as

Antirheumatic AgentsArthritis, RheumatoidInterleukin-6 InhibitorsMetabolomicsMethotrexateTumor Necrosis Factor InhibitorsBiomarkersHumansTreatment OutcomeTumor Necrosis Factor-alphaAntirheumatic AgentsBiomarkersInterleukin-6 InhibitorsMethotrexateTumor Necrosis Factor-alphaTumor Necrosis Factor InhibitorsBiomarkersIL-6 inhibitorsMetabolomicsMethotrexateRheumatoid arthritisTreatment responsivenessTumor necrosis factor

Identifiers

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.