Literature DB >> 22650227

Metabolic memory for vascular disease in diabetes.

Pablo J Aschner1, Alvaro J Ruiz.   

Abstract

Although the terms "metabolic memory" and "legacy effect" have been used to describe the prolonged benefits of good blood glucose control, the former is now recognized as a phenomenon related to the prolonged harm produced mainly by hyperglycemia. At least three randomized clinical trials (Diabetes Control and Complications Trial in type 1 diabetes, United Kingdom Prospective Diabetes Study and Steno-2 in type 2 diabetes) have demonstrated that patients treated intensively for a period of time have a lower risk of micro- and macrovascular complications that persists during subsequent follow-up, even after their tight control has relented and the levels of glycated hemoglobin in the conventionally treated group improve. The mechanisms are not fully understood but most probably relate to the physiopathology of vascular complications of diabetes, and in recent years a unifying theory has been emerging to understand them. The excess superoxide anion produced by the mitochondria in response to hyperglycemia leads through disturbances at the nuclear level to the accumulation of potentially harmful substances such as advanced glycated end-products, protein kinase C, and nuclear factor κB, which are directly implicated in the development of vascular complications in diabetes. These adverse effects are not reversed when the high blood glucose is corrected, and some may be permanent because of epigenetic changes. Some antidiabetes drugs and antioxidant substances have produced partial reversibility of the mechanisms involved in the metabolic memory at the experimental level, but probably the best strategy is to optimize the metabolic control as early as possible, even before diabetes is diagnosed.

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Year:  2012        PMID: 22650227     DOI: 10.1089/dia.2012.0012

Source DB:  PubMed          Journal:  Diabetes Technol Ther        ISSN: 1520-9156            Impact factor:   6.118


  15 in total

Review 1.  Current knowledge and future directions on cardiovascular disease in diabetes.

Authors:  David M Maahs; Janet K Snell-Bergeon
Journal:  Diabetes Technol Ther       Date:  2012-06       Impact factor: 6.118

Review 2.  Metaproteomics Approach and Pathway Modulation in Obesity and Diabetes: A Narrative Review.

Authors:  Francesco Maria Calabrese; Annalisa Porrelli; Mirco Vacca; Blandine Comte; Katharina Nimptsch; Mariona Pinart; Tobias Pischon; Estelle Pujos-Guillot; Maria De Angelis
Journal:  Nutrients       Date:  2021-12-23       Impact factor: 5.717

3.  Differential transcriptional and posttranslational transcription factor 7-like regulation among nondiabetic individuals and type 2 diabetic patients.

Authors:  M Pradas-Juni; N Nicod; E Fernández-Rebollo; R Gomis
Journal:  Mol Endocrinol       Date:  2014-07-24

4.  Type 1 Diabetes: Urinary Proteomics and Protein Network Analysis Support Perturbation of Lysosomal Function.

Authors:  Harinder Singh; Yanbao Yu; Moo-Jin Suh; Manolito G Torralba; Robert D Stenzel; Andrey Tovchigrechko; Vishal Thovarai; Derek M Harkins; Seesandra V Rajagopala; Whitney Osborne; Fran R Cogen; Paul B Kaplowitz; Karen E Nelson; Ramana Madupu; Rembert Pieper
Journal:  Theranostics       Date:  2017-07-07       Impact factor: 11.556

5.  Effects of Hyperglycemia on Vascular Smooth Muscle Ca2+ Signaling.

Authors:  Nahed El-Najjar; Rashmi P Kulkarni; Nancy Nader; Rawad Hodeify; Khaled Machaca
Journal:  Biomed Res Int       Date:  2017-06-21       Impact factor: 3.411

6.  Continuous Monitoring of Glucose for Type 1 Diabetes: A Health Technology Assessment.

Authors: 
Journal:  Ont Health Technol Assess Ser       Date:  2018-02-21

7.  Clinical practice guideline for the prevention, early detection, diagnosis, management and follow up of type 2 diabetes mellitus in adults.

Authors:  Pablo M Aschner; Oscar Mauricio Muñoz; Diana Girón; Olga Milena García; Daniel Gerardo Fernández-Ávila; Luz Ángela Casas; Luisa Fernanda Bohórquez; Clara María Arango T; Liliana Carvajal; Doris Amanda Ramírez; Juan Guillermo Sarmiento; Cristian Alejandro Colon; Néstor Fabián Correa G; Pilar Alarcón R; Álvaro Andrés Bustamante S
Journal:  Colomb Med (Cali)       Date:  2016-06-30

8.  Polydatin ameliorates lipid and glucose metabolism in type 2 diabetes mellitus by downregulating proprotein convertase subtilisin/kexin type 9 (PCSK9).

Authors:  Yu Wang; Jiantao Ye; Jie Li; Cheng Chen; Junying Huang; Peiqing Liu; Heqing Huang
Journal:  Cardiovasc Diabetol       Date:  2016-02-01       Impact factor: 9.951

Review 9.  Clinical predictive factors in diabetic kidney disease progression.

Authors:  Nicholas J Radcliffe; Jas-Mine Seah; Michele Clarke; Richard J MacIsaac; George Jerums; Elif I Ekinci
Journal:  J Diabetes Investig       Date:  2016-06-08       Impact factor: 4.232

10.  Gene Expression, Oxidative Stress, and Senescence of Primary Coronary Endothelial Cells Exposed to Postprandial Serum of Healthy Adult and Elderly Volunteers after Oven-Cooked Meat Meals.

Authors:  Costarelli Laura; Giacconi Robertina; Francesco Piacenza; Andrea Basso; Deborah Pacetti; Michele Balzano; Riccardo Gagliardi; Natale Giuseppe Frega; Eugenio Mocchegiani; Mauro Provinciali; Marco Malavolta
Journal:  Mediators Inflamm       Date:  2017-12-12       Impact factor: 4.711

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