Evidence map›Paper›PMID 39981338›Full record

ArticleJournal of clinical medicine research2025

Metabolomics for Distinguishing Cardiovascular Risk in Rheumatoid Arthritis Across Different Disease-Modifying Antirheumatic Drug Therapies.

Inga Claus, Meike Hoffmeister, Selina Strathmeyer, Steffen Heelemann, Constantin Remus, Werner Dammermann, Oliver Ritter, Daniel Patschan, Susann Patschan

Abstract read
In one paragraph

Article in Journal of clinical medicine research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

9 authors.

Inga ClausDepartment of Internal Medicine I - Cardiology, Nephrology and Internal Intensive Medicine, Brandenburg University Hospital, Brandenburg Medical School (Theodor Fontane), 14770 Brandenburg an der Havel, Germany.
Meike HoffmeisterInstitute of Biochemistry, Brandenburg Medical School (Theodor Fontane), 14770 Brandenburg an der Havel, Germany.
Selina StrathmeyerLifespin GmbH, 93053 Regensburg, Germany.ORCID https://orcid.org/0009-0006-6074-5268
Steffen HeelemannLifespin GmbH, 93053 Regensburg, Germany.ORCID https://orcid.org/0000-0001-5104-8774
Constantin RemusDepartment of Internal Medicine I - Cardiology, Nephrology and Internal Intensive Medicine, Brandenburg University Hospital, Brandenburg Medical School (Theodor Fontane), 14770 Brandenburg an der Havel, Germany.
Werner DammermannDepartment of Internal Medicine II - Gastroenterology and Endocrinology, Brandenburg University Hospital, Brandenburg Medical School (Theodor Fontane), 14770 Brandenburg an der Havel, Germany.
Oliver RitterDepartment of Internal Medicine I - Cardiology, Nephrology and Internal Intensive Medicine, Brandenburg University Hospital, Brandenburg Medical School (Theodor Fontane), 14770 Brandenburg an der Havel, Germany.
Daniel PatschanDepartment of Internal Medicine I - Cardiology, Nephrology and Internal Intensive Medicine, Brandenburg University Hospital, Brandenburg Medical School (Theodor Fontane), 14770 Brandenburg an der Havel, Germany.ORCID https://orcid.org/0000-0002-6914-5254
Susann PatschanDepartment of Internal Medicine I - Cardiology, Nephrology and Internal Intensive Medicine, Brandenburg University Hospital, Brandenburg Medical School (Theodor Fontane), 14770 Brandenburg an der Havel, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Rheumatoid arthritis (RA) significantly increases the overall risk of cardiovascular disease (CVD). In addition to conventional risk factors, the inflammatory activity of the disease itself and medications that promote atherosclerosis contribute to an even greater risk. In this study, we performed metabolomic analysis in RA patients, both on and off disease-modifying anti-rheumatic drug (DMARD) therapy, with the aim of identifying new candidates for more sophisticated cardiovascular risk (CVR) assessment. Methods: This is an observational, cross-sectional investigation that included patients with established RA. DMARD therapy, if prescribed, consisted of methotrexate (MTX) alone or in combination with other conventional disease-modifying anti-rheumatic drugs (cDMARDs) or biologic disease-modifying anti-rheumatic drugs (bDMARDs), or other cDMARDs or bDMARDs without MTX, respectively. Metabolomic profiling was conducted using a Bruker AVANCE NEO 600 MHz nuclear magnetic resonance (NMR) spectrometer. The spectra obtained were Fourier transformed using TopSpin software (version 4.0, Bruker Biospin, Germany). All spectra were automatically phased and subjected to baseline correction. Subsequently, the spectra were analyzed using the proprietary Profiler software (version 1.4_Blood, lifespin GmbH, Germany), and a quantitative metabolite list was generated. Results: In total, 200 patients were included in the study, 54 subjects were not receiving any DMARDs (n = 47 untreated at the time of inclusion, n = 7 with established disease but not receiving DMARD therapy), and 146 were receiving DMARD treatment. No metabolic differences were found in relation to drug therapy or RA activity. The following CVR factors were associated with significant metabolic abnormalities: distress, arterial hypertension, diabetes mellitus and an average higher Framingham score. Distressed individuals showed abnormalities in histidine metabolism. Conclusions: Our findings have aided in the identification of potential surrogate markers for assessing the burden of CVD in individuals with RA. Histidine may be of particular diagnostic importance in CVR assessment in RA.

Indexed as

Cardiovascular riskDisease activityDMARDsMetabolomicsRA

Identifiers

PMID39981338
PMCPMC11835553

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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.