Literature DB >> 29665986

Prevention and Treatment of Type 2 Diabetes: A Pathophysiological-Based Approach.

Dorit Samocha-Bonet1, Sophie Debs2, Jerry R Greenfield3.   

Abstract

Prediabetes affects approximately 40% of American adults. Randomized trials report that a proportion of individuals with prediabetes develop diabetes despite caloric restriction, physical activity, and/or when treated with metformin, the first-line medication for patients with type 2 diabetes mellitus (T2DM). Currently, there are no valid predictors of the effectiveness of these measures in determining who will and who will not progress to the T2DM state. Few studies have examined the clinical and phenotypic predictors of better and worse glycemic response to lifestyle interventions and metformin in prediabetes and diabetes. Further studies incorporating 'omic' approaches to discover novel markers of phenotypes and treatment effectiveness may pave the way to personalizing the treatment of prediabetes and diabetes.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  genomics; gut microbiomics; metabolomics; metformin; personalized management; prediabetes

Mesh：

Substances：

Year:  2018        PMID： 29665986     DOI： 10.1016/j.tem.2018.03.014

Source DB:  PubMed          Journal:  Trends Endocrinol Metab        ISSN： 1043-2760            Impact factor:   12.015


  10 in total

1.  Establishment and validation of a nomogram that predicts the risk of type 2 diabetes in obese patients with non-alcoholic fatty liver disease: a longitudinal observational study.

Authors:  Xintian Cai; Mengru Wang; Shasha Liu; Yujuan Yuan; Junli Hu; Qing Zhu; Jing Hong; Guzailinuer Tuerxun; Huimin Ma; Nanfang Li
Journal:  Am J Transl Res       Date:  2022-07-15       Impact factor: 3.940

Review 2.  Progression from prediabetes to type 2 diabetes mellitus induced by overnutrition.

Authors:  Yuli Zhang; Tuming Shen; Songtao Wang
Journal:  Hormones (Athens)       Date:  2022-10-05       Impact factor: 3.419

3.  Derivation and Validation of a Prediction Model for Predicting the 5-Year Incidence of Type 2 Diabetes in Non-Obese Adults: A Population-Based Cohort Study.

Authors:  Xin-Tian Cai; Li-Wei Ji; Sha-Sha Liu; Meng-Ru Wang; Mulalibieke Heizhati; Nan-Fang Li
Journal:  Diabetes Metab Syndr Obes       Date:  2021-05-11       Impact factor: 3.168

4.  Reducing postprandial glucose in dietary intervention studies and the magnitude of the effect on diabetes-related risk factors: a systematic review and meta-analysis.

Authors:  Carolien Ruijgrok; Ellen E Blaak; Léonie Egli; Pierre Dussort; Sophie Vinoy; Simone P Rauh; Joline W Beulens; M Denise Robertson; Marjan Alssema
Journal:  Eur J Nutr       Date:  2020-04-10       Impact factor: 5.614

5.  Isoliquiritigenin prevents hyperglycemia-induced renal injuries by inhibiting inflammation and oxidative stress via SIRT1-dependent mechanism.

Authors:  Xiaozhong Huang; Yujuan Shi; Hongjin Chen; Rongrong Le; Xiaohua Gong; Ke Xu; Qihan Zhu; Feixia Shen; Zimiao Chen; Xuemei Gu; Xiaojun Chen; Xiong Chen
Journal:  Cell Death Dis       Date:  2020-12-07       Impact factor: 8.469

6.  Serum lipidomics profiles reveal potential lipid markers for prediabetes and type 2 diabetes in patients from multiple communities.

Authors:  Qiuhui Xuan; Chunxiu Hu; Yinan Zhang; Qingqing Wang; Xinjie Zhao; Xinyu Liu; Congrong Wang; Weiping Jia; Guowang Xu
Journal:  Front Endocrinol (Lausanne)       Date:  2022-08-15       Impact factor: 6.055

7.  Effect of a Low-Moderate Exercise Program on Dysmetabolism in Older Adults: Results of a Randomized Controlled Trial.

Authors:  Fernanda Velluzzi; Giulia Cossu; Michele Fosci; Roberta Montisci; Rosanna Zaccheddu; Luigi Minerba; Mario Musu; Elisa Pintus; Dario Fortin; Ferdinando Romano; Cesar Ivan Aviles Gonzalez; Paola Melis; Andrea Deledda; Andrea Loviselli; Mauro Giovanni Carta
Journal:  Nutrients       Date:  2022-08-15       Impact factor: 6.706

Review 8.  Liquid-Liquid Phase Separation of Biomacromolecules and Its Roles in Metabolic Diseases.

Authors:  Zhihao Chen; Ying Huai; Wenjing Mao; Xuehao Wang; Kang Ru; Airong Qian; Hong Yang
Journal:  Cells       Date:  2022-09-27       Impact factor: 7.666

Review 9.  Metformin as a geroprotector: experimental and clinical evidence.

Authors:  Veronika Piskovatska; Nadiya Stefanyshyn; Kenneth B Storey; Alexander M Vaiserman; Oleh Lushchak
Journal:  Biogerontology       Date:  2018-09-25       Impact factor: 4.277

10.  Rationale and design of a randomised controlled trial testing the effect of personalised diet in individuals with pre-diabetes or type 2 diabetes mellitus treated with metformin.

Authors:  Thaw D Htet; Anastasia Godneva; Zhixin Liu; Eliza Chalmers; Dmitry Kolobkov; Jennifer R Snaith; Renee Richens; Krisztina Toth; Mark Danta; Tien-Ming Hng; Eran Elinav; Eran Segal; Jerry R Greenfield; Dorit Samocha-Bonet
Journal:  BMJ Open       Date:  2020-10-10       Impact factor: 2.692
  10 in total

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