| Autor: |
Yang Ouyang, Gaokun Qiu, Xinjie zhao, Benzhe Su, Disheng Feng, Wangjie Lv, Qiuhui Xuan, Lichao Wang, Di Yu, Qingqing Wang, Xiaohui Lin, Tangchun Wu, Guowang Xu |
| Jazyk: |
angličtina |
| Rok vydání: |
2021 |
| Předmět: |
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| Zdroj: |
Global Challenges, Vol 5, Iss 4, Pp n/a-n/a (2021) |
| Druh dokumentu: |
article |
| ISSN: |
2056-6646 |
| DOI: |
10.1002/gch2.202000088 |
| Popis: |
Abstract In a Chinese prospective cohort, 500 patients with new‐onset type 2 diabetes (T2D) within 4.61 years and 500 matched healthy participants are selected as case and control groups, and randomized into discovery and validation sets to discover the metabolite changes before T2D onset and the related diabetogenic loci. A serum metabolomics analysis reveals that 81 metabolites changed significantly before T2D onset. Based on binary logistic regression, eight metabolites are defined as a biomarker panel for T2D prediction. Pipecolinic acid, carnitine C14:0, epinephrine and phosphatidylethanolamine 34:2 are first found associated with future T2D. The addition of the biomarker panel to the clinical markers (BMI, triglycerides, and fasting glucose) significantly improves the predictive ability in the discovery and validation sets, respectively. By associating metabolomics with genomics, a significant correlation (p |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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