Literature DB >> 34180979

The β Cell in Diabetes: Integrating Biomarkers With Functional Measures.

Steven E Kahn1, Yi-Chun Chen2,3,4, Nathalie Esser1, Austin J Taylor2,3,4, Daniël H van Raalte5,6, Sakeneh Zraika1, C Bruce Verchere2,3,4.   

Abstract

The pathogenesis of hyperglycemia observed in most forms of diabetes is intimately tied to the islet β cell. Impairments in propeptide processing and secretory function, along with the loss of these vital cells, is demonstrable not only in those in whom the diagnosis is established but typically also in individuals who are at increased risk of developing the disease. Biomarkers are used to inform on the state of a biological process, pathological condition, or response to an intervention and are increasingly being used for predicting, diagnosing, and prognosticating disease. They are also proving to be of use in the different forms of diabetes in both research and clinical settings. This review focuses on the β cell, addressing the potential utility of genetic markers, circulating molecules, immune cell phenotyping, and imaging approaches as biomarkers of cellular function and loss of this critical cell. Further, we consider how these biomarkers complement the more long-established, dynamic, and often complex measurements of β-cell secretory function that themselves could be considered biomarkers. Published by Oxford University Press on behalf of the Endocrine Society 2021.

Entities:  

Keywords:  genetics; imaging; immunology; insulin; islet amyloid polypeptide

Mesh:

Substances:

Year:  2021        PMID: 34180979      PMCID: PMC9115372          DOI: 10.1210/endrev/bnab021

Source DB:  PubMed          Journal:  Endocr Rev        ISSN: 0163-769X            Impact factor:   25.261


  570 in total

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Authors:  Stefan Stender; Eriks Smagris; Bo K Lauridsen; Klaus F Kofoed; Børge G Nordestgaard; Anne Tybjaerg-Hansen; Len A Pennacchio; Diane E Dickel; Jonathan C Cohen; Helen H Hobbs
Journal:  Hepatology       Date:  2018-04-19       Impact factor: 17.425

5.  Insulin, proinsulin, proinsulin:insulin ratio, and the risk of developing type 2 diabetes mellitus in women.

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Journal:  Am J Med       Date:  2003-04-15       Impact factor: 4.965

6.  Circulating proinsulin in patients with maturity onset diabetes.

Authors:  M E Mako; J I Starr; A H Rubenstein
Journal:  Am J Med       Date:  1977-12       Impact factor: 4.965

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Journal:  Genes (Basel)       Date:  2015-03-12       Impact factor: 4.096

9.  Type 1 Diabetes Genetic Risk Score: A Novel Tool to Discriminate Monogenic and Type 1 Diabetes.

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Authors:  Kristina M Utzschneider; Ronald L Prigeon; Mirjam V Faulenbach; Jenny Tong; Darcy B Carr; Edward J Boyko; Donna L Leonetti; Marguerite J McNeely; Wilfred Y Fujimoto; Steven E Kahn
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