Hyperglycaemia-associated Caspase-3 predicts diabetes and coronary artery disease events.


Journal

Journal of internal medicine
ISSN: 1365-2796
Titre abrégé: J Intern Med
Pays: England
ID NLM: 8904841

Informations de publication

Date de publication:
10 2021
Historique:
revised: 05 04 2021
received: 08 01 2021
accepted: 04 05 2021
pubmed: 27 7 2021
medline: 19 2 2022
entrez: 26 7 2021
Statut: ppublish

Résumé

Apoptosis is central in both diabetes and atherosclerosis, linked to pancreatic beta cell death and plaque progression. Circulating Caspase-3 has also been associated with diabetes and coronary calcium score. Here, we explored if soluble Caspase-3 (sCaspase-3) is associated with cardio-metabolic risk factors and predicts incidence of diabetes and coronary artery disease (CAD). Clinical data and plasma from 4637 individuals from the Malmö Diet and Cancer cohort were studied. Plasma sCaspase-3 was measured by a Proximity Extension Assay. National registers were used to identify diabetes and CAD events during follow-up. Type 2 diabetes risk variants and expression quantitative trait loci (eQTL) for sCaspase-3 were retrieved from the DIAGRAM consortium and the Genotype-Tissue Expression project. HbA1c was the factor with the strongest association with sCaspase-3 (r = 0.18, P = 1.3x10 The present study provides evidence for plasma sCaspase-3 as a marker of cardio-metabolic risk factors and as a predictor of future diabetes and CAD in a cohort without cardiovascular disease or diabetes at baseline.

Sections du résumé

BACKGROUND
Apoptosis is central in both diabetes and atherosclerosis, linked to pancreatic beta cell death and plaque progression. Circulating Caspase-3 has also been associated with diabetes and coronary calcium score. Here, we explored if soluble Caspase-3 (sCaspase-3) is associated with cardio-metabolic risk factors and predicts incidence of diabetes and coronary artery disease (CAD).
METHODS
Clinical data and plasma from 4637 individuals from the Malmö Diet and Cancer cohort were studied. Plasma sCaspase-3 was measured by a Proximity Extension Assay. National registers were used to identify diabetes and CAD events during follow-up. Type 2 diabetes risk variants and expression quantitative trait loci (eQTL) for sCaspase-3 were retrieved from the DIAGRAM consortium and the Genotype-Tissue Expression project.
RESULTS
HbA1c was the factor with the strongest association with sCaspase-3 (r = 0.18, P = 1.3x10
CONCLUSIONS
The present study provides evidence for plasma sCaspase-3 as a marker of cardio-metabolic risk factors and as a predictor of future diabetes and CAD in a cohort without cardiovascular disease or diabetes at baseline.

Identifiants

pubmed: 34309093
doi: 10.1111/joim.13327
pmc: PMC7612448
mid: EMS142039
doi:

Substances chimiques

CASP3 protein, human EC 3.4.22.-
Caspase 3 EC 3.4.22.-

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

855-865

Subventions

Organisme : European Research Council
ID : 885003
Pays : International

Informations de copyright

© 2021 The Authors. Journal of Internal Medicine published by John Wiley & Sons Ltd on behalf of Association for Publication of The Journal of Internal Medicine.

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Auteurs

Jiangming Sun (J)

From the, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden.

Pratibha Singh (P)

From the, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden.

Johan Österlund (J)

From the, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden.

Marju Orho-Melander (M)

From the, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden.

Olle Melander (O)

From the, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden.

Gunnar Engström (G)

From the, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden.

Andreas Edsfeldt (A)

From the, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden.
Department of Cardiology, Skåne University Hospital, Malmö, Sweden.
Wallenberg Center for Molecular Medicine, Lund University, Lund, Sweden.

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Classifications MeSH