Literature DB >> 29342488

The Effects of Folate Supplementation on Diabetes Biomarkers Among Patients with Metabolic Diseases: A Systematic Review and Meta-Analysis of Randomized Controlled Trials.

Maryam Akbari1, Reza Tabrizi1, Kamran B Lankarani2, Seyed Taghi Heydari2, Maryam Karamali3, Maryam Kashanian3, Fariba Keneshlou4, Kayvan Niknam5, Fariba Kolahdooz6, Zatollah Asemi7.   

Abstract

Although several studies have evaluated the effect of folate supplementation on diabetes biomarkers among patients with metabolic diseases, findings are inconsistent. This review of randomized controlled trials (RCTs) was performed to summarize the evidence on the effects of folate supplementation on diabetes biomarkers among patients with metabolic diseases. Randomized-controlled trials (RCTs) published in PubMed, EMBASE, Web of Science and Cochrane Library databases up to 1 September 2017 were searched. Two review authors independently assessed study eligibility, extracted data, and evaluated risk of bias of included studies. Heterogeneity was measured with a Q-test and with I2 statistics. Data were pooled by using the fix or random-effect model based on the heterogeneity test results and expressed as standardized mean difference (SMD) with 95% confidence interval (CI). A total of sixteen randomized controlled trials involving 763 participants were included in the final analysis. The current meta-analysis showed folate supplementation among patients with metabolic diseases significantly decreased insulin (SMD -1.28; 95% CI, -1.99, -0.56) and homeostasis model assessment of insulin resistance (HOMA-IR) (SMD -1.28; 95% CI, -1.99, -0.56). However, folate supplementation did not affect fasting plasma glucose (FPG) (SMD -0.30; 95% CI, -0.63, 0.02) and hemoglobin A1C (HbA1c) (SMD -0.29; 95% CI, -0.61, 0.03). The results of this meta-analysis study demonstrated that folate supplementation may result in significant decreases in insulin levels and HOMA-IR score, but does not affect FPG and HbA1c levels among patients with metabolic diseases. © Georg Thieme Verlag KG Stuttgart · New York.

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Year:  2018        PMID: 29342488     DOI: 10.1055/s-0043-125148

Source DB:  PubMed          Journal:  Horm Metab Res        ISSN: 0018-5043            Impact factor:   2.936


  8 in total

Review 1.  Use and abuse of dietary supplements in persons with diabetes.

Authors:  Bridget A Hannon; William D Fairfield; Bryan Adams; Theodore Kyle; Mason Crow; Diana M Thomas
Journal:  Nutr Diabetes       Date:  2020-04-27       Impact factor: 5.097

2.  Blood biomarkers of various dietary patterns correlated with metabolic indicators in Taiwanese type 2 diabetes.

Authors:  Meng-Chuan Huang; Chiao-I Chang; Wen-Tsan Chang; Yen-Ling Liao; Hsin-Fang Chung; Chih-Cheng Hsu; Shyi-Jang Shin; Kun-Der Lin
Journal:  Food Nutr Res       Date:  2019-11-20       Impact factor: 3.894

3.  Association Between Folate and Health Outcomes: An Umbrella Review of Meta-Analyses.

Authors:  Yacong Bo; Yongjian Zhu; Yuchang Tao; Xue Li; Desheng Zhai; Yongjun Bu; Zhongxiao Wan; Ling Wang; Yuming Wang; Zengli Yu
Journal:  Front Public Health       Date:  2020-12-15

4.  Serum folate concentration and health-related quality of life among the elderly in South Korea.

Authors:  Eunmi Lee; Sangshin Park
Journal:  Health Qual Life Outcomes       Date:  2021-12-20       Impact factor: 3.186

Review 5.  Maternal folic acid and multivitamin supplementation: International clinical evidence with considerations for the prevention of folate-sensitive birth defects.

Authors:  R D Wilson; D L O'Connor
Journal:  Prev Med Rep       Date:  2021-10-25

6.  Inverse Association of Serum Folate Level with Metabolic Syndrome and Its Components in Korean Premenopausal Women: Findings of the 2016-2018 Korean National Health Nutrition Examination Survey.

Authors:  Ye-Seul Koo; Yong-Jae Lee; Jae-Min Park
Journal:  Nutrients       Date:  2022-02-19       Impact factor: 5.717

7.  Association between folic acid use during pregnancy and gestational diabetes mellitus: Two population-based Nordic cohort studies.

Authors:  Laura Pazzagli; Silvia Segovia Chacón; Christos Karampelias; Jacqueline M Cohen; Gabriella Bröms; Helle Kieler; Ingvild Odsbu; Randi Selmer; Olov Andersson; Carolyn E Cesta
Journal:  PLoS One       Date:  2022-08-11       Impact factor: 3.752

Review 8.  Epigenetics of Hepatic Insulin Resistance.

Authors:  Hannah Maude; Claudia Sanchez-Cabanillas; Inês Cebola
Journal:  Front Endocrinol (Lausanne)       Date:  2021-05-11       Impact factor: 5.555

  8 in total

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