Plasma proteomics in children with new-onset type 1 diabetes identifies new potential biomarkers of partial remission

Partial remission (PR) occurs in only half of people with new-onset type 1 diabetes (T1D) and corresponds to a transient period characterized by low daily insulin needs, low glycemic fluctuations and increased endogenous insulin secretion. While identification of people with newly-onset T1D and significant residual beta-cell function may foster patient-specific interventions, reliable predictive biomarkers of PR occurrence currently lack. We analyzed the plasma of children with new-onset T1D to identify biomarkers present at diagnosis that predicted PR at 3 months post-diagnosis. We first performed an extensive shotgun proteomic analysis using Liquid Chromatography-Tandem-Mass-Spectrometry (LCMS/MS) on the plasma of 16 children with new-onset T1D and quantified 98 proteins significantly correlating with Insulin-Dose Adjusted glycated hemoglobin A1c score (IDAA<sub>1C</sub>). We next applied a series of both qualitative and statistical filters and selected protein candidates that were associated to pathophysiological mechanisms related to T1D. Finally, we translationally verified several of the candidates using single-shot targeted proteomic (PRM method) on raw plasma. Taken together, we identified plasma biomarkers present at diagnosis that may predict the occurrence of PR in a single mass-spectrometry run. We believe that the identification of new predictive biomarkers of PR and β-cell function is key to stratify people with new-onset T1D for β-cell preservation therapies.

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Publication Details

Journal
Scientific Reports
Published
2024-09-05
DOI
https://doi.org/10.1038/s41598-024-71717-4
Citations
4
Primary Topic
Diabetes and associated disorders
Type
article
Field-Weighted Citation Impact
2.20

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article

Plasma proteomics in children with new-onset type 1 diabetes identifies new potential biomarkers of partial remission

Gaëtan Herinckx, Laurent Gatto, Olivier G. Pollé, Manon Martin et al.
4 citations
Scientific Reports
Diabetes and associated disorders
2.20
article

Plasma proteomics in children with new-onset type 1 diabetes identifies new potential biomarkers of partial remission

Gaëtan Herinckx, Laurent Gatto, Olivier G. Pollé, Manon Martin, Didier Vertommen, Philippe A. Lysy, Sébastien Pyr dit Ruys, Camille Hubinon, Julie Lemmer
article en
4 citations

Abstract

Partial remission (PR) occurs in only half of people with new-onset type 1 diabetes (T1D) and corresponds to a transient period characterized by low daily insulin needs, low glycemic fluctuations and increased endogenous insulin secretion. While identification of people with newly-onset T1D and significant residual beta-cell function may foster patient-specific interventions, reliable predictive biomarkers of PR occurrence currently lack. We analyzed the plasma of children with new-onset T1D to identify biomarkers present at diagnosis that predicted PR at 3 months post-diagnosis. We first performed an extensive shotgun proteomic analysis using Liquid Chromatography-Tandem-Mass-Spectrometry (LCMS/MS) on the plasma of 16 children with new-onset T1D and quantified 98 proteins significantly correlating with Insulin-Dose Adjusted glycated hemoglobin A1c score (IDAA<sub>1C</sub>). We next applied a series of both qualitative and statistical filters and selected protein candidates that were associated to pathophysiological mechanisms related to T1D. Finally, we translationally verified several of the candidates using single-shot targeted proteomic (PRM method) on raw plasma. Taken together, we identified plasma biomarkers present at diagnosis that may predict the occurrence of PR in a single mass-spectrometry run. We believe that the identification of new predictive biomarkers of PR and β-cell function is key to stratify people with new-onset T1D for β-cell preservation therapies.

Scientific ReportsVol. 14(1)
Cliniques Universitaires Saint-Luc (BE), de Duve Institute (BE), Directorate-General Joint Research Centre (BE), UCLouvain (BE)
Fonds De La Recherche Scientifique - FNRS, Société Francophone du Diabète, Fonds pour la Formation à la Recherche dans l’Industrie et dans l’Agriculture
Openalex Percentile: Top 12%
Diabetes and associated disorders
2.20
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