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A specific diagnostic metabolome signature in adult IgA vasculitis.
Boissais, Alexandre; Blasco, Hélène; Emond, Patrick; Lefèvre, Antoine; Bigot, Adrien; Ramdani, Yanis; Maldent, Nicole Ferreira; Mulleman, Denis; Pillebout, Evangéline; Maillot, François; Audemard-Verger, Alexandra.
Afiliación
  • Boissais A; Department of Internal Medicine and Clinical Immunology, University Hospital Center of Tours, Tours, France. a.boissais@chu-tours.fr.
  • Blasco H; Biochemistry and Molecular Biology Department, University Hospital Center of Tours, Tours, France.
  • Emond P; UMR 1253, iBrain, University of Tours, 37000, InsermTours, France.
  • Lefèvre A; UMR 1253, iBrain, University of Tours, 37000, InsermTours, France.
  • Bigot A; In Vitro Nuclear Medicine Department, University Hospital Center of Tours, Tours, France.
  • Ramdani Y; UMR 1253, iBrain, University of Tours, 37000, InsermTours, France.
  • Maldent NF; Department of Internal Medicine and Clinical Immunology, University Hospital Center of Tours, Tours, France.
  • Mulleman D; Department of Internal Medicine and Clinical Immunology, University Hospital Center of Tours, Tours, France.
  • Pillebout E; Department of Internal Medicine and Clinical Immunology, University Hospital Center of Tours, Tours, France.
  • Maillot F; Center for Molecular Biophysics, UPR CNRS 4301, Tours, France.
  • Audemard-Verger A; Department of Rheumatology, University Hospital Center of Tours, Tours, France.
Metabolomics ; 20(3): 61, 2024 May 24.
Article en En | MEDLINE | ID: mdl-38787468
ABSTRACT

INTRODUCTION:

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

OBJECTIVE:

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

METHODS:

We 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.

RESULTS:

Fifty-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%.

CONCLUSION:

To 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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Inmunoglobulina A / Biomarcadores / Metaboloma Límite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Metabolomics Año: 2024 Tipo del documento: Article País de afiliación: Francia Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Inmunoglobulina A / Biomarcadores / Metaboloma Límite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Metabolomics Año: 2024 Tipo del documento: Article País de afiliación: Francia Pais de publicación: Estados Unidos