Evidence map›Paper›PMID 38787468›Full record

ArticleMetabolomics : Official journal of the Metabolomic Society2024

A specific diagnostic metabolome signature in adult IgA vasculitis.

Alexandre Boissais, Hélène Blasco, Patrick Emond, Antoine Lefèvre, Adrien Bigot, Yanis Ramdani, Nicole Ferreira Maldent, Denis Mulleman, Evangéline Pillebout, François Maillot and 1 more

Abstract read
In one paragraph

Article in Metabolomics : Official journal of the Metabolomic Society, 2024. 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. Review
  2. New avenues in childhood vasculitis.Pediatric rheumatology online journal · 2025
    Review
  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

11 authors.

Alexandre BoissaisDepartment of Internal Medicine and Clinical Immunology, University Hospital Center of Tours, Tours, France. a.boissais@chu-tours.fr.
Hélène BlascoBiochemistry and Molecular Biology Department, University Hospital Center of Tours, Tours, France.
Patrick EmondUMR 1253, iBrain, University of Tours, 37000, InsermTours, France.
Antoine LefèvreUMR 1253, iBrain, University of Tours, 37000, InsermTours, France.
Adrien BigotDepartment of Internal Medicine and Clinical Immunology, University Hospital Center of Tours, Tours, France.
Yanis RamdaniDepartment of Internal Medicine and Clinical Immunology, University Hospital Center of Tours, Tours, France.
Nicole Ferreira MaldentDepartment of Internal Medicine and Clinical Immunology, University Hospital Center of Tours, Tours, France.
Denis MullemanCenter for Molecular Biophysics, UPR CNRS 4301, Tours, France.
Evangéline PilleboutDepartment of Nephrology, Saint Louis Hospital, APHP, Paris, France.
François MaillotDepartment of Internal Medicine and Clinical Immunology, University Hospital Center of Tours, Tours, France.
Alexandra Audemard-VergerDepartment of Internal Medicine and Clinical Immunology, University Hospital Center of Tours, Tours, France.ORCID http://orcid.org/0000-0002-0226-5016

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionIgA vasculitis diagnosis relies primarily on clinical features and is confirmed by pathological findings. To date, there is no reliable noninvasive diagnostic biomarker.

objectiveWe aimed to explore the baseline serum metabolome of adult patients with IgA vasculitis to identify potential diagnostic biomarkers.

methodsWe performed a study comparing the serum metabolome of patients with IgA vasculitis to that of patients with inflammatory condition, namely spondyloarthritis. Serum analyses were performed by high-performance liquid chromatography-mass spectrometry.

resultsFifty-five patients with IgA vasculitis and 77 controls with spondyloarthritis (age- and sex-matched) were included in this study. The median age of IgA vasculitis patients was 53 years. Two-thirds of patients were female (n = 32). At the time of vasculitis diagnosis, 100% of patients had skin involvement and 69% presented with glomerulonephritis (n = 38). Joint and digestive involvement were observed in 56% (n = 31) and 42% (n = 23) of patients. Four discriminative metabolites between the two groups were identified: 1-methyladenosine, L-glutamic acid, serotonin, and thymidine. The multivariate model built from the serum metabolomes of patients with IgA vasculitis and spondyloarthritis revealed an accuracy > 90%. As this model was significant according to the permutation test (p < 0.01), independent validation showed an excellent predictive value of the test set: sensitivity 98%; specificity 98%, positive predictive value 97% and negative predictive value 98%.

conclusionTo our knowledge, this study is the first to use the metabolomic approach for diagnostic purposes in adult IgA vasculitis, highlighting a specific diagnostic metabolome signature.

Indexed as

BiomarkersImmunoglobulin AMetabolomeAdultAgedChromatography, High Pressure LiquidFemaleHumansIgA VasculitisMaleMass SpectrometryMetabolomicsMiddle AgedVasculitisBiomarkersImmunoglobulin ADiagnosisHenoch-Schönlein purpuraIgA vasculitisMetabolomicsSignature

Identifiers

PMID38787468
PMCPMC11126474

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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.