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Biomarkers for predicting type 2 diabetes development-Can metabolomics improve on existing biomarkers?

Biomarkers for predicting type 2 diabetes development-Can metabolomics improve on existing biomarkers?

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Biomarkers for predicting type 2 diabetes development-Can metabolomics improve on existing biomarkers?

http://www.wikidata.org/entity/Q33887865

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2017 nî lūn-bûn

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2017 թուականի Յուլիսին հրատարակուած գիտական յօդուած

@hyw

2017 թվականի հուլիսին հրատարակված գիտական հոդված

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2017年の論文

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2017年論文

@yue

2017年論文

@zh-hant

2017年論文

@zh-hk

2017年論文

@zh-mo

2017年論文

@zh-tw

2017年论文

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name

Biomarkers for predicting type ...... mprove on existing biomarkers?

@ast

Biomarkers for predicting type ...... mprove on existing biomarkers?

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type

label

Biomarkers for predicting type ...... mprove on existing biomarkers?

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Biomarkers for predicting type ...... mprove on existing biomarkers?

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Biomarkers for predicting type ...... mprove on existing biomarkers?

@ast

Biomarkers for predicting type ...... mprove on existing biomarkers?

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Biomarkers for predicting type ...... mprove on existing biomarkers?

@en

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Björn Fagerberg

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Otto Savolainen

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2-Aminoadipic acid is a biomarker for diabetes risk

Mendelian randomization studies do not support a causal role for reduced circulating adiponectin levels in insulin resistance and type 2 diabetes

A branched-chain amino acid-related metabolic signature that differentiates obese and lean humans and contributes to insulin resistance

Early metabolic markers of the development of dysglycemia and type 2 diabetes and their physiological significance

Plasma metabolomic profiles reflective of glucose homeostasis in non-diabetic and type 2 diabetic obese African-American women

Biomarkers for type 2 diabetes and impaired fasting glucose using a nontargeted metabolomics approach

Definition, diagnosis and classification of diabetes mellitus and its complications. Part 1: diagnosis and classification of diabetes mellitus provisional report of a WHO consultation

Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach

Metabolite profiles and the risk of developing diabetes

The use of mass spectrometry for analysing metabolite biomarkers in epidemiology: methodological and statistical considerations for application to large numbers of biological samples.

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7

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Ann-Sofie Sandberg

Göran Bergström

Alastair B. Ross

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2017-07-10T00:00:00Z

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28692646

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type-2 diabetes

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5503163

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