Literature DB >> 31441248

Changes in Metabolic Profile Over Time: Impact on the Risk of Diabetes.

Yunjung Cho1, Seung Hwan Lee1,2.   

Abstract

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Year:  2019        PMID: 31441248      PMCID: PMC6712227          DOI: 10.4093/dmj.2019.0141

Source DB:  PubMed          Journal:  Diabetes Metab J        ISSN: 2233-6079            Impact factor:   5.376


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Metabolic syndrome (MetS), characterized by insulin resistance, glucose intolerance, abdominal obesity, atherogenic dyslipidemia, elevated blood pressure and proinflammatory and prothrombotic state, is well known to increase the risk of type 2 diabetes mellitus and cardiovascular diseases [12]. Because these outcomes are highly prevalent and lead to enormous health and socioeconomic burden worldwide, correction of metabolic derangement is a challenging but unavoidable goal of patient management. In the article entitled “Impact of longitudinal changes in metabolic syndrome status over 2 years on 10-year incident diabetes mellitus,” Huh et al. [3] examined whether changes in MetS status over 2 years can modify future risk of diabetes using a prospective cohort of 7,317 participants. They were divided into four groups, two without changes (non-MetS, persistent MetS) and two with changes (resolved MetS, incident MetS). Although the baseline metabolic profiles were closer to persistent MetS group, the risk of incident diabetes was lowered in resolved MetS group and insignificant compared with non-MetS group in fully adjusted model. The hazard ratios were similar in incident MetS group and persistent MetS group. Similar studies had been performed in Korean subjects with different parameters of metabolic derangement. The risk of diabetes according to changes in body weight was examined in a study of 51,405 non-diabetic subjects using the National Health Insurance Service claim database [4]. When obesity was defined using the body mass index (BMI) cutoff of 25 kg/m2, subjects who moved from obese to nonobese category still had significantly higher risk of diabetes compared with consistently nonobese group. However, when the risk was evaluated according to the percentage changes in BMI, more than 3% decrease in nonobese subjects or more than 9% decrease in obese subjects were associated with lower risk of diabetes. Another study of 2,692 non-diabetic individuals in a population-based prospective cohort study used a simple triglyceride-glucose (TyG) index, a product of fasting glucose and triglycerides, as a surrogate marker of insulin resistance [5]. When the risk of developing diabetes during a 8-year follow-up was assessed according to the changes in TyG index over 4 years, improvement of TyG index from highest quartile group to lower three quartile groups resulted in lowered risk of diabetes, which was similar to subjects who had consistently low TyG index. Collectively, it seems that reverting obesity and insulin resistance is beneficial for the prevention of future diabetes, and Huh et al. [3] provide an important addition to the previous data. There are some remaining questions that warrants further exploration. (1) What is the minimum required amount of body weight reduction or metabolic parameter improvement for a significant beneficial effect? In the Diabetes Prevention Program study, lifestyle modification program aimed at least a 7% weight loss and at least 150 minutes of physical activity per week. At the end of a 24-week curriculum, 50% of the participants in the lifestyle intervention group achieved weight loss of 7% or more, and the incidence of diabetes were reduced by 58% compared with placebo group [6]. The Look Action for Health for Diabetes (AHEAD) study which also aimed at achieving and maintaining weight loss of at least 7% and Diabetes Remission Clinical Trial (DiRECT) which aimed at weight loss of more than 15 kg even showed significantly higher chance of diabetes remission compared with control group [78]. Of note, it is likely that the dose-response relationship between weight loss or metabolic improvement and the prevention of diabetes is unequal among different ethnicities or at an individual level. The concept of ‘personal fat threshold’ suggests that there might be an individual level of susceptibility affecting ectopic fat accumulation and insulin resistance [9]. Because community-based and hospital-based Korean Diabetes Prevention Study is under way, it would be interesting to find out the optimal extent of lifestyle modification for reducing the risk of diabetes in Koreans [1011]. (2) What is the most feasible and effective method of intervention? Although lifestyle intervention has been regarded as a key factor with proven efficacy [678], maintaining weight loss is unsuccessful in many cases. Recently, newer methods or pharmacological agents have demonstrated impressive effect on diabetes prevention. A 15-year follow-up study of bariatric surgery showed 83% reduction of incident diabetes in Swedish obese subjects [12]. In obese subjects with prediabetes, administration of liraglutide 3.0 mg for 160 weeks on top of lifestyle intervention led to 79% reduction in diabetes development compared with placebo [13]. These data open a possibility of adopting multiple different combinations of measures to achieve metabolic health and weight loss. (3) Does the exposure duration to obesity or MetS affect the reversal capacity? Several studies demonstrated positive associations between the duration or timing of obesity and the risk of diabetes [1415]. However, whether people with different duration of obesity or MetS have different response to interventions for diabetes prevention seems to be unclear at this point. Accumulating evidence support the importance of reverting obesity and MetS and keeping below the threshold of diabetes risk. It would be crucial for physicians to keep eyes on patients' MetS status and to strive to find effective management and education methods for correcting risk factors and preventing adverse health outcomes. Considering the epidemic of obesity and diabetes, implementation of community-based effort is critical and would be a fundamental approach.
  15 in total

Review 1.  Definition of metabolic syndrome: Report of the National Heart, Lung, and Blood Institute/American Heart Association conference on scientific issues related to definition.

Authors:  Scott M Grundy; H Bryan Brewer; James I Cleeman; Sidney C Smith; Claude Lenfant
Journal:  Circulation       Date:  2004-01-27       Impact factor: 29.690

2.  Durability of a primary care-led weight-management intervention for remission of type 2 diabetes: 2-year results of the DiRECT open-label, cluster-randomised trial.

Authors:  Michael E J Lean; Wilma S Leslie; Alison C Barnes; Naomi Brosnahan; George Thom; Louise McCombie; Carl Peters; Sviatlana Zhyzhneuskaya; Ahmad Al-Mrabeh; Kieren G Hollingsworth; Angela M Rodrigues; Lucia Rehackova; Ashley J Adamson; Falko F Sniehotta; John C Mathers; Hazel M Ross; Yvonne McIlvenna; Paul Welsh; Sharon Kean; Ian Ford; Alex McConnachie; Claudia-Martina Messow; Naveed Sattar; Roy Taylor
Journal:  Lancet Diabetes Endocrinol       Date:  2019-03-06       Impact factor: 32.069

3.  Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin.

Authors:  William C Knowler; Elizabeth Barrett-Connor; Sarah E Fowler; Richard F Hamman; John M Lachin; Elizabeth A Walker; David M Nathan
Journal:  N Engl J Med       Date:  2002-02-07       Impact factor: 91.245

4.  Association of an intensive lifestyle intervention with remission of type 2 diabetes.

Authors:  Edward W Gregg; Haiying Chen; Lynne E Wagenknecht; Jeanne M Clark; Linda M Delahanty; John Bantle; Henry J Pownall; Karen C Johnson; Monika M Safford; Abbas E Kitabchi; F Xavier Pi-Sunyer; Rena R Wing; Alain G Bertoni
Journal:  JAMA       Date:  2012-12-19       Impact factor: 56.272

5.  Bariatric surgery and prevention of type 2 diabetes in Swedish obese subjects.

Authors:  Lena M S Carlsson; Markku Peltonen; Sofie Ahlin; Åsa Anveden; Claude Bouchard; Björn Carlsson; Peter Jacobson; Hans Lönroth; Cristina Maglio; Ingmar Näslund; Carlo Pirazzi; Stefano Romeo; Kajsa Sjöholm; Elisabeth Sjöström; Hans Wedel; Per-Arne Svensson; Lars Sjöström
Journal:  N Engl J Med       Date:  2012-08-23       Impact factor: 91.245

Review 6.  Metabolic syndrome as a predictor of type 2 diabetes, and its clinical interpretations and usefulness.

Authors:  Jeong-Ah Shin; Jin-Hee Lee; Sun-Young Lim; Hee-Sung Ha; Hyuk-Sang Kwon; Yong-Moon Park; Won-Chul Lee; Moo-Il Kang; Hyeon-Woo Yim; Kun-Ho Yoon; Ho-Young Son
Journal:  J Diabetes Investig       Date:  2013-05-28       Impact factor: 4.232

7.  Hospital-Based Korean Diabetes Prevention Study: A Prospective, Multi-Center, Randomized, Open-Label Controlled Study.

Authors:  Sang Youl Rhee; Suk Chon; Kyu Jeung Ahn; Jeong Taek Woo
Journal:  Diabetes Metab J       Date:  2018-11-02       Impact factor: 5.376

8.  Impact of Longitudinal Changes in Metabolic Syndrome Status over 2 Years on 10-Year Incident Diabetes Mellitus.

Authors:  Ji Hye Huh; Sung Gyun Ahn; Young In Kim; Taehwa Go; Ki Chul Sung; Jae Hyuk Choi; Kwang Kon Koh; Jang Young Kim
Journal:  Diabetes Metab J       Date:  2019-02-20       Impact factor: 5.376

9.  Impact of weight changes on the incidence of diabetes mellitus: a Korean nationwide cohort study.

Authors:  Eun Sook Kim; Jee Sun Jeong; Kyungdo Han; Mee Kyoung Kim; Seung-Hwan Lee; Yong-Moon Park; Ki Hyun Baek; Sung Dae Moon; Je-Ho Han; Ki-Ho Song; Hyuk-Sang Kwon
Journal:  Sci Rep       Date:  2018-02-27       Impact factor: 4.379

10.  Changes in Metabolic Health Status Over Time and Risk of Developing Type 2 Diabetes: A Prospective Cohort Study.

Authors:  Seung-Hwan Lee; Hae Kyung Yang; Hee-Sung Ha; Jin-Hee Lee; Hyuk-Sang Kwon; Yong-Moon Park; Hyeon-Woo Yim; Moo-Il Kang; Won-Chul Lee; Ho-Young Son; Kun-Ho Yoon
Journal:  Medicine (Baltimore)       Date:  2015-10       Impact factor: 1.817

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