The potential use of biomarkers in the prevention of Type 2 diabetes

Steinbrecher, Astrid; Pischon, Tobias

doi:10.1586/eem.13.11

Cited by 2 publications

(2 citation statements)

References 18 publications

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“…In this context, it is important to better characterize intermediate phenotypes associated with metabolic abnormalities. Biomarkers are considered useful to disentangle the exposure-disease relationships in chronic metabolic disorders and provide sensitive tools for a better identification and stratification of high-risk individuals 20 . Timely identification of MetS physiological disturbances should allow pinpointing individuals at highest risk to develop T2D, CVD, and multi-organ damage.…”

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confidence: 99%

Metabolomic and Lipidomic Signatures of Metabolic Syndrome and its Physiological Components in Adults: A Systematic Review

Monnerie

Comte

Ziegler

et al. 2020

Sci Rep

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the aim of this work was to conduct a systematic review of human studies on metabolite/lipid biomarkers of metabolic syndrome (MetS) and its components, and provide recommendations for future studies. the search was performed in MeDLine, eMBASe, eMB Review, cinHAL complete, pubMed, and on grey literature, for population studies identifying MetS biomarkers from metabolomics/lipidomics. extracted data included population, design, number of subjects, sex/gender, clinical characteristics and main outcome. Data were collected regarding biological samples, analytical methods, and statistics. Metabolites were compiled by biochemical families including listings of their significant modulations. Finally, results from the different studies were compared. The search yielded 31 eligible studies (2005-2019). A first category of articles identified prevalent and incident MetS biomarkers using mainly targeted metabolomics. even though the population characteristics were quite homogeneous, results were difficult to compare in terms of modulated metabolites because of the lack of methodological standardization. A second category, focusing on MetS components, allowed comparing more than 300 metabolites, mainly associated with the glycemic component. Finally, this review included also publications studying type 2 diabetes as a whole set of metabolic risks, raising the interest of reporting metabolomics/lipidomics signatures to reflect the metabolic phenotypic spectrum in systems approaches.

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confidence: 99%

Metabolomic and Lipidomic Signatures of Metabolic Syndrome and its Physiological Components in Adults: A Systematic Review

Monnerie

Comte

Ziegler

et al. 2020

Sci Rep

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show abstract

“…Aside from glycemic indicators, biomarkers including adiponectin as well as glycated serum proteins discussed earlier may potentially be useful for identifying high‐risk individuals and predicting risk for progression to type 2 diabetes. The newly identified ADIPOQ p.M40K mutation was recently found in carriers followed from birth to associate with severe cardiometabolic dysfunction including type 2 diabetes due to impairment of high‐molecular weight adiponectin complex formation .…”

Section: Markers For Identifying High‐risk Individualsmentioning

confidence: 99%

The Early Diabetes Intervention Program – is early actually late?

Bergman

2014

Diabetes Metabolism Res

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The potential use of biomarkers in the prevention of Type 2 diabetes

Cited by 2 publications

References 18 publications

Metabolomic and Lipidomic Signatures of Metabolic Syndrome and its Physiological Components in Adults: A Systematic Review

Metabolomic and Lipidomic Signatures of Metabolic Syndrome and its Physiological Components in Adults: A Systematic Review

The Early Diabetes Intervention Program – is early actually late?

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