Literature DB >> 30334082

Non-traditional biomarkers and incident diabetes in the Diabetes Prevention Program: comparative effects of lifestyle and metformin interventions.

Ronald B Goldberg1, George A Bray2, Santica M Marcovina3, Kieren J Mather4, Trevor J Orchard5, Leigh Perreault6, Marinella Temprosa7.   

Abstract

AIMS/HYPOTHESIS: We compared the associations of circulating biomarkers of inflammation, endothelial and adipocyte dysfunction and coagulation with incident diabetes in the placebo, lifestyle and metformin intervention arms of the Diabetes Prevention Program, a randomised clinical trial, to determine whether reported associations in general populations are reproduced in individuals with impaired glucose tolerance, and whether these associations are independent of traditional diabetes risk factors. We further investigated whether biomarker-incident diabetes associations are influenced by interventions that alter pathophysiology, biomarker concentrations and rates of incident diabetes.
METHODS: The Diabetes Prevention Program randomised 3234 individuals with impaired glucose tolerance into placebo, metformin (850 mg twice daily) and intensive lifestyle groups and showed that metformin and lifestyle reduced incident diabetes by 31% and 58%, respectively compared with placebo over an average follow-up period of 3.2 years. For this study, we measured adiponectin, leptin, tissue plasminogen activator (as a surrogate for plasminogen activator inhibitor 1), high-sensitivity C-reactive protein, IL-6, monocyte chemotactic protein 1, fibrinogen, E-selectin and intercellular adhesion molecule 1 at baseline and at 1 year by specific immunoassays. Traditional diabetes risk factors were defined as family history, HDL-cholesterol, triacylglycerol, BMI, fasting and 2 h glucose, HbA1c, systolic blood pressure, inverse of fasting insulin and insulinogenic index. Cox proportional hazard models were used to assess the effects of each biomarker on the development of diabetes assessed semi-annually and the effects of covariates on these.
RESULTS: E-selectin, (HR 1.19 [95% CI 1.06, 1.34]), adiponectin (0.84 [0.71, 0.99]) and tissue plasminogen activator (1.13 [1.03, 1.24]) were associated with incident diabetes in the placebo group, independent of diabetes risk factors. Only the association between adiponectin and diabetes was maintained in the lifestyle (0.69 [0.52, 0.92]) and metformin groups (0.79 [0.66, 0.94]). E-selectin was not related to diabetes development in either lifestyle or metformin groups. A novel association appeared for change in IL-6 in the metformin group (1.09 [1.021, 1.173]) and for baseline leptin in the lifestyle groups (1.31 [1.06, 1.63]). CONCLUSIONS/
INTERPRETATION: These findings clarify associations between an extensive group of biomarkers and incident diabetes in a multi-ethnic cohort with impaired glucose tolerance, the effects of diabetes risk factors on these, and demonstrate differential modification of associations by interventions. They strengthen evidence linking adiponectin to diabetes development, and argue against a central role for endothelial dysfunction. The findings have implications for the pathophysiology of diabetes development and its prevention.

Entities:  

Keywords:  Adiponectin; Biomarkers; C-reactive protein; Diabetes prevention; E-selectin; Interleukin 6; Leptin; Lifestyle change; Metformin; Tissue plasminogen activator

Mesh:

Substances:

Year:  2018        PMID: 30334082      PMCID: PMC6456055          DOI: 10.1007/s00125-018-4748-2

Source DB:  PubMed          Journal:  Diabetologia        ISSN: 0012-186X            Impact factor:   10.122


  28 in total

1.  Improved endothelial function with metformin in type 2 diabetes mellitus.

Authors:  K J Mather; S Verma; T J Anderson
Journal:  J Am Coll Cardiol       Date:  2001-04       Impact factor: 24.094

2.  Role of insulin secretion and sensitivity in the evolution of type 2 diabetes in the diabetes prevention program: effects of lifestyle intervention and metformin.

Authors:  Abbas E Kitabchi; Marinella Temprosa; William C Knowler; Steven E Kahn; Sarah E Fowler; Steven M Haffner; Reuben Andres; Christopher Saudek; Sharon L Edelstein; Richard Arakaki; Mary Beth Murphy; Harry Shamoon
Journal:  Diabetes       Date:  2005-08       Impact factor: 9.461

3.  Markers of inflammation and prediction of diabetes mellitus in adults (Atherosclerosis Risk in Communities study): a cohort study.

Authors:  M I Schmidt; B B Duncan; A R Sharrett; G Lindberg; P J Savage; S Offenbacher; M I Azambuja; R P Tracy; G Heiss
Journal:  Lancet       Date:  1999-05-15       Impact factor: 79.321

4.  Progression of plasminogen activator inhibitor-1 and fibrinogen levels in relation to incident type 2 diabetes.

Authors:  Andreas Festa; Ken Williams; Russell P Tracy; Lynne E Wagenknecht; Steven M Haffner
Journal:  Circulation       Date:  2006-04-03       Impact factor: 29.690

5.  Chemokines as risk factors for type 2 diabetes: results from the MONICA/KORA Augsburg study, 1984-2002.

Authors:  C Herder; J Baumert; B Thorand; W Koenig; W de Jager; C Meisinger; T Illig; S Martin; H Kolb
Journal:  Diabetologia       Date:  2006-03-11       Impact factor: 10.122

6.  Biomarkers of endothelial dysfunction and risk of type 2 diabetes mellitus.

Authors:  James B Meigs; Frank B Hu; Nader Rifai; JoAnn E Manson
Journal:  JAMA       Date:  2004-04-28       Impact factor: 56.272

Review 7.  Diabetes and cardiovascular disease. The "common soil" hypothesis.

Authors:  M P Stern
Journal:  Diabetes       Date:  1995-04       Impact factor: 9.461

8.  Adiponectin, change in adiponectin, and progression to diabetes in the Diabetes Prevention Program.

Authors:  Kieren J Mather; Tohru Funahashi; Yuji Matsuzawa; Sharon Edelstein; George A Bray; Steven E Kahn; Jill Crandall; Santica Marcovina; Barry Goldstein; Ronald Goldberg
Journal:  Diabetes       Date:  2008-01-11       Impact factor: 9.461

Review 9.  Adiponectin levels and risk of type 2 diabetes: a systematic review and meta-analysis.

Authors:  Shanshan Li; Hyun Joon Shin; Eric L Ding; Rob M van Dam
Journal:  JAMA       Date:  2009-07-08       Impact factor: 56.272

10.  Involvement of the hemostatic system in the insulin resistance syndrome. A study of 1500 patients with angina pectoris. The ECAT Angina Pectoris Study Group.

Authors:  I Juhan-Vague; S G Thompson; J Jespersen
Journal:  Arterioscler Thromb       Date:  1993-12
View more
  11 in total

1.  Associations of GDF-15 and GDF-15/adiponectin ratio with odds of type 2 diabetes in the Chinese population.

Authors:  Xiaoying Wu; Wenting Xuan; Lili You; Hong Lian; Feng Li; Xiaoyun Zhang; Qingyu Chen; Kan Sun; Chaogang Chen; Mingtong Xu; Yan Li; Li Yan; Xiuwei Zhang; Meng Ren
Journal:  Endocrine       Date:  2021-03-12       Impact factor: 3.633

Review 2.  Does diabetes prevention translate into reduced long-term vascular complications of diabetes?

Authors:  David M Nathan; Peter H Bennett; Jill P Crandall; Sharon L Edelstein; Ronald B Goldberg; Steven E Kahn; William C Knowler; Kieren J Mather; Sunder Mudaliar; Trevor J Orchard; Marinella Temprosa; Neil H White
Journal:  Diabetologia       Date:  2019-07-04       Impact factor: 10.122

3.  Adiposity, related biomarkers, and type 2 diabetes after gestational diabetes: The Diabetes Prevention Program.

Authors:  Pandora L Wander; Costas A Christophi; Maria Rosario G Araneta; Edward J Boyko; Daniel A Enquobahrie; Dana Dabelea; Ronald B Goldberg; Steven E Kahn; Catherine Kim; Xavier Pi-Sunyer; William C Knowler
Journal:  Obesity (Silver Spring)       Date:  2021-11-18       Impact factor: 5.002

4.  Hierarchies of evidence applied to lifestyle Medicine (HEALM): introduction of a strength-of-evidence approach based on a methodological systematic review.

Authors:  D L Katz; M C Karlsen; M Chung; M M Shams-White; L W Green; J Fielding; A Saito; W Willett
Journal:  BMC Med Res Methodol       Date:  2019-08-20       Impact factor: 4.615

5.  Metformin alleviates stress-induced cellular senescence of aging human adipose stromal cells and the ensuing adipocyte dysfunction.

Authors:  Laura Le Pelletier; Matthieu Mantecon; Claire Lagathu; Veronique Bereziat; Jennifer Gorwood; Martine Auclair; Roberta Foresti; Roberto Motterlini; Mireille Laforge; Michael Atlan; Bruno Fève; Jacqueline Capeau
Journal:  Elife       Date:  2021-09-21       Impact factor: 8.140

6.  A plasma metabolite score of three eicosanoids predicts incident type 2 diabetes: a prospective study in three independent cohorts.

Authors:  Karolina Tuomisto; Joonatan Palmu; Tao Long; Jeramie D Watrous; Kysha Mercader; Kim A Lagerborg; Allen Andres; Marko Salmi; Sirpa Jalkanen; Ramachandran S Vasan; Michael Inouye; Aki S Havulinna; Jaakko Tuomilehto; Pekka Jousilahti; Teemu J Niiranen; Susan Cheng; Mohit Jain; Veikko Salomaa
Journal:  BMJ Open Diabetes Res Care       Date:  2022-03

7.  Association of fruit and vegetable color with incident diabetes and cardiometabolic risk biomarkers in the United States Hispanic/Latino population.

Authors:  Zhiping Yu; Martha Tamez; Raymond Colon; Judith Rodriguez; Kristen K Hicks-Roof; Nikki Ford; Josiemer Mattei; Daniela Sotres-Alvarez; Linda Van Horn; Matthew Allison; Gregory A Talavera; Sheila F Castañeda; Martha L Daviglus
Journal:  Nutr Diabetes       Date:  2022-04-11       Impact factor: 5.097

8.  Pregnancy Per- and Polyfluoroalkyl Substance Concentrations and Postpartum Health in Project Viva: A Prospective Cohort.

Authors:  Susanna D Mitro; Sharon K Sagiv; Abby F Fleisch; Lindsay M Jaacks; Paige L Williams; Sheryl L Rifas-Shiman; Antonia M Calafat; Marie-France Hivert; Emily Oken; Tamarra M James-Todd
Journal:  J Clin Endocrinol Metab       Date:  2020-09-01       Impact factor: 5.958

9.  Metformin for prevention or delay of type 2 diabetes mellitus and its associated complications in persons at increased risk for the development of type 2 diabetes mellitus.

Authors:  Kasper S Madsen; Yuan Chi; Maria-Inti Metzendorf; Bernd Richter; Bianca Hemmingsen
Journal:  Cochrane Database Syst Rev       Date:  2019-12-03

10.  Working Hypothesis for Glucose Metabolism and SARS-CoV-2 Replication: Interplay Between the Hexosamine Pathway and Interferon RF5 Triggering Hyperinflammation. Role of BCG Vaccine?

Authors:  Hugo A Laviada-Molina; Irene Leal-Berumen; Ernesto Rodriguez-Ayala; Raul A Bastarrachea
Journal:  Front Endocrinol (Lausanne)       Date:  2020-07-07       Impact factor: 5.555

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.