Literature DB >> 30243649

Proteomics, metabolomics and metagenomics for type 2 diabetes and its complications.

Niannian Wang1, Feifei Zhu2, Liang Chen3, Keping Chen4.   

Abstract

Type 2 diabetes mellitus (T2DM) is one of the most common diseases of endocrine and metabolic disorders, whose mechanism is still largely unknown. Fortunately, various "omics" tools have been employed to better understand the progression pathologies of T2DM and its complications. More specifically, proteomics, metabolomics and metagenomics have played crucial roles in advancing deeper understanding of the physiological processes and regulatory mechanisms of T2DM, such as regulation of signaling pathways perturbed by glucose levels, intestinal microorganism, and inflammation and so on. By analyzing the dynamic change and modification of proteins, proteomics has become an important tool in biology and medicine. Metabolomic analysis can amplify and quantify metabolites in living organisms to reveal the relative relationship between metabolites and physiological and pathological changes. There are also increasing evidences that the human microbiome, specifically the gastrointestinal microbiome have a potential role in the etiology and pathological outcomes of T2DM and its complications. This article summarized and discussed the recent applications of these "omics" tools in finding biomarkers for T2DM and its complications. We also reviewed employing multiple "omics" to further advance our understanding of this pathology. This review will benefit deeper understanding in new therapeutic and/or diagnostic biological target for the discovery of T2DM and its complications.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Biomarkers; Metabolomics; Metagenomics; Proteomics; T2DM

Mesh:

Substances:

Year:  2018        PMID: 30243649     DOI: 10.1016/j.lfs.2018.09.035

Source DB:  PubMed          Journal:  Life Sci        ISSN: 0024-3205            Impact factor:   5.037


  13 in total

1.  Optimization Techniques to Deeply Mine the Transcriptomic Profile of the Sub-Genomes in Hybrid Fish Lineage.

Authors:  Zhong Wan; Jiayi Tang; Li Ren; Yamei Xiao; Shaojun Liu
Journal:  Front Genet       Date:  2019-10-30       Impact factor: 4.599

Review 2.  The Multiomics Analyses of Fecal Matrix and Its Significance to Coeliac Disease Gut Profiling.

Authors:  Sheeana Gangadoo; Piumie Rajapaksha Pathirannahalage; Samuel Cheeseman; Yen Thi Hoang Dang; Aaron Elbourne; Daniel Cozzolino; Kay Latham; Vi Khanh Truong; James Chapman
Journal:  Int J Mol Sci       Date:  2021-02-17       Impact factor: 5.923

3.  MicroRNA-506 modulates insulin resistance in human adipocytes by targeting S6K1 and altering the IRS1/PI3K/AKT insulin signaling pathway.

Authors:  Feng-Yu Zhong; Jing Li; Yu-Mei Wang; Yao Chen; Jia Song; Zi Yang; Lin Zhang; Tian Tian; You-Fang Hu; Zhen-Ying Qin
Journal:  J Bioenerg Biomembr       Date:  2021-10-31       Impact factor: 2.945

4.  A Novel Integrated Biomarker for Evaluation of Risk and Severity of Coronary Atherosclerosis, and Its Validation.

Authors:  Victoria A Metelskaya; Natalia E Gavrilova; Maria V Zhatkina; Elena B Yarovaya; Oxana M Drapkina
Journal:  J Pers Med       Date:  2022-02-02

5.  Does the Mediterranean diet reduce the odds of diabetic nephropathy in women? A case-control study.

Authors:  Sahar Noori; Atieh Mirzababaei; Faezeh Abaj; Rasool Ghaffarian-Ensaf; Khadijeh Mirzaei
Journal:  Front Nutr       Date:  2022-09-02

6.  Identification of Hub Genes in Type 2 Diabetes Mellitus Using Bioinformatics Analysis.

Authors:  YiXuan Lin; Jinju Li; Di Wu; FanJing Wang; ZhaoHui Fang; GuoMing Shen
Journal:  Diabetes Metab Syndr Obes       Date:  2020-05-22       Impact factor: 3.168

7.  A Prediction Model Based on Noninvasive Indicators to Predict the 8-Year Incidence of Type 2 Diabetes in Patients with Nonalcoholic Fatty Liver Disease: A Population-Based Retrospective Cohort Study.

Authors:  Xintian Cai; Qing Zhu; Yuanyuan Cao; Shasha Liu; Mengru Wang; Ting Wu; Jing Hong; Ayguzal Ahmat; Xiayire Aierken; Nanfang Li
Journal:  Biomed Res Int       Date:  2021-05-14       Impact factor: 3.411

Review 8.  Multi-omics: Opportunities for research on mechanism of type 2 diabetes mellitus.

Authors:  Shuai Wang; Hui Yong; Xiao-Dong He
Journal:  World J Diabetes       Date:  2021-07-15

Review 9.  Omics era in type 2 diabetes: From childhood to adulthood.

Authors:  Antonio Paride Passaro; Pierluigi Marzuillo; Stefano Guarino; Federica Scaglione; Emanuele Miraglia Del Giudice; Anna Di Sessa
Journal:  World J Diabetes       Date:  2021-12-15

10.  Proteomics changes after negative pressure wound therapy in diabetic foot ulcers.

Authors:  Zeguo Jia; Lei Liu; Shiqian Zhang; Xiaotong Zhao; Li Luo; Yizhong Tang; Bing Shen; Mingwei Chen
Journal:  Mol Med Rep       Date:  2021-10-05       Impact factor: 2.952

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