Evidence map›Paper›PMID 34650548›Full record

ArticleFrontiers in immunology2021

Relationship Between Inflammation and Metabolism in Patients With Newly Presenting Rheumatoid Arthritis.

Gurpreet Singh Jutley, Kalvin Sahota, Ilfita Sahbudin, Andrew Filer, Thurayya Arayssi, Stephen P Young, Karim Raza

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
4.2field-weighted citation impact, top 4% of its field
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

28 citing papers in PubMed, 1 synthesis or guideline pooled it, 66 citations in OpenAlex.

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  6. Hypomethylation of the HumanArchives of Iranian medicine · 2026
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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 at 4 institutions in 2 countries.

Gurpreet Singh JutleyNIHR Birmingham Biomedical Research Centre, University Hospitals Birmingham NHS Foundation Trust and Institute for Inflammation and Ageing, University of Birmingham, Birmingham, United Kingdom.
Kalvin SahotaNIHR Birmingham Biomedical Research Centre, University Hospitals Birmingham NHS Foundation Trust and Institute for Inflammation and Ageing, University of Birmingham, Birmingham, United Kingdom.
Ilfita SahbudinNIHR Birmingham Biomedical Research Centre, University Hospitals Birmingham NHS Foundation Trust and Institute for Inflammation and Ageing, University of Birmingham, Birmingham, United Kingdom.
Andrew FilerNIHR Birmingham Biomedical Research Centre, University Hospitals Birmingham NHS Foundation Trust and Institute for Inflammation and Ageing, University of Birmingham, Birmingham, United Kingdom.
Thurayya ArayssiWeill Cornell Medicine-Qatar, Education City, Doha, Qatar.
Stephen P YoungNIHR Birmingham Biomedical Research Centre, University Hospitals Birmingham NHS Foundation Trust and Institute for Inflammation and Ageing, University of Birmingham, Birmingham, United Kingdom.
Karim RazaNIHR Birmingham Biomedical Research Centre, University Hospitals Birmingham NHS Foundation Trust and Institute for Inflammation and Ageing, University of Birmingham, Birmingham, United Kingdom.
NIHR Birmingham Biomedical Research Centre · GBUniversity Hospitals Birmingham NHS Foundation Trust · GBUniversity of Birmingham · GBWeill Cornell Medical College in Qatar · QA

Funding

Arthritis Research UK 18547Arthritis Research UK 20298Department of Health BRC-1215-20009Medical Research Council MR/K00414X/1Medical Research Council MR/P021220/1Wellcome Trust
6 · The paper itself

Abstract

Background: Systemic inflammation in rheumatoid arthritis (RA) is associated with metabolic changes. We used nuclear magnetic resonance (NMR) spectroscopy-based metabolomics to assess the relationship between an objective measure of systemic inflammation [C-reactive protein (CRP)] and both the serum and urinary metabolome in patients with newly presenting RA. Methods: Serum (n=126) and urine (n=83) samples were collected at initial presentation from disease modifying anti-rheumatic drug naïve RA patients for metabolomic profile assessment using 1-dimensional Results: Using PLS-R analysis, a relationship between the level of inflammation, as assessed by CRP, and the serum (p=0.001) and urinary (p<0.001) metabolome was detectable. Likewise, following categorisation of CRP into tertiles, patients in the lowest CRP tertile and the highest CRP tertile were statistically discriminated using OPLS-DA analysis of both serum (p=0.033) and urinary (p<0.001) metabolome. The most highly weighted metabolites for these models included glucose, amino acids, lactate, and citrate. These findings suggest increased glycolysis, perturbation in the citrate cycle, oxidative stress, protein catabolism and increased urea cycle activity are key characteristics of newly presenting RA patients with elevated CRP. Conclusions: This study consolidates our understanding of a previously identified relationship between serum metabolite profile and inflammation and provides novel evidence that there is a relationship between urinary metabolite profile and inflammation as measured by CRP. Identification of these metabolic perturbations provides insights into the pathogenesis of RA and may help in the identification of therapeutic targets.

Indexed as

AdultArthritis, RheumatoidC-Reactive ProteinFemaleHumansInflammationLeast-Squares AnalysisMaleMetabolomeMetabolomicsMiddle AgedProton Magnetic Resonance SpectroscopyC-Reactive Proteincachexiacitrate cycleglycolysisinflammationmetabolismoxidative stressrheumatoid arthritisurea cycle

Identifiers

PMID34650548
PMCPMC8507469
OpenAlexW3202181048

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.