1
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Heidarzadeh-Esfahani N, Heshmati J, Pirjani R, Moini A, Shafaatdoost M, Esmaeili M, Mardi-Mamaghani A, Nachvak SM, Sepidarkish M. The potential causal effect of the pre-pregnancy dietary phytochemical index on gestational diabetes mellitus: a prospective cohort study. BMC Pregnancy Childbirth 2024; 24:447. [PMID: 38943050 PMCID: PMC11212247 DOI: 10.1186/s12884-024-06643-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2023] [Accepted: 06/14/2024] [Indexed: 07/01/2024] Open
Abstract
BACKGROUND Phytochemicals are non-nutritive bioactive compounds with beneficial effects on the metabolism of glucose. This study aimed to clarify the possible causal effect of the pre-pregnancy dietary phytochemical index (DPI) on gestational diabetes mellitus (GDM). METHODS In this prospective cohort study 1,856 pregnant women aged 18-45 years who were in their first trimester, were recruited and followed up until delivery. The dietary intakes of participants were examined using an interviewer-administered validated 168-item semi-quantitative food frequency questionnaire (FFQ). Inverse probability weighting (IPW) of propensity scores (PS), estimated from the generalized boosted model (GBM) were used to obtain a adjusted risk ratio (aRR) for potential confounders. RESULTS During the follow-up period, 369 (19.88%) women were diagnosed with GDM. DPI scores ranged from 6.09 to 89.45. There was no association between DPI scores and GDM (aRR: 1.01, 95% confidence interval [CI]: 0.92, 1.08; p trend = 0.922). When comparing DPI quartile 4 (most pro-phytochemical content) to quartile 1 (few phytochemical contents), there was no significant difference between them (aRR: 0.97; 95% CI: 0.75, 1.25; p = 0.852). Also, there was no significant difference between DPI quartile 3 and quartile 1 (aRR: 1.04; 95% CI: 0.81, 1.34; p = 0.741) as well as DPI quartile 2 and quartile 1 (aRR: 0.92; 95% CI: 0.71, 1.21; p = 0.593). CONCLUSIONS Although this data did not support the association between pre-pregnancy DPI scores and GDM, further cohort studies to ascertain the causal association between them are warranted.
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Affiliation(s)
- Neda Heidarzadeh-Esfahani
- Nutritional Sciences Department, School of Nutrition Sciences and Food Technology, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Javad Heshmati
- University of Ottawa Heart Institute, University of Ottawa, Ottawa, Canada
| | - Reihaneh Pirjani
- Department of Obstetrics and Gynecology, Arash Women's Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Ashraf Moini
- Department of Obstetrics and Gynecology, Arash Women's Hospital, Tehran University of Medical Sciences, Tehran, Iran
- Department of Endocrinology and Female Infertility, Reproductive Biomedicine Research Center, Royan Institute for Reproductive Biomedicine, ACECR, Tehran, Iran
| | - Mehrnoosh Shafaatdoost
- Department of Clinical Nutrition, School of Nutritional Sciences and Dietetic, Tehran University of Medical Sciences, Tehran, Iran
| | - Mahnaz Esmaeili
- Department of Genetics, Reproductive Biomedicine Research Center, Royan Institute for Reproductive Biomedicine, ACECR, Tehran, Iran
| | - Azar Mardi-Mamaghani
- Department of Andrology, Reproductive Biomedicine Research Center, Royan Institute for Reproductive Biomedicine, ACECR, Tehran, Iran
| | - Seyyed Mostafa Nachvak
- Nutritional Sciences Department, School of Nutrition Sciences and Food Technology, Kermanshah University of Medical Sciences, Kermanshah, Iran.
| | - Mahdi Sepidarkish
- Population, Family and Spiritual Health Research Center, Health Research Institute, Babol University of Medical Sciences, Babol, Iran.
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2
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Cheng J, Li J, Xiong RG, Wu SX, Xu XY, Tang GY, Huang SY, Zhou DD, Li HB, Feng Y, Gan RY. Effects and mechanisms of anti-diabetic dietary natural products: an updated review. Food Funct 2024; 15:1758-1778. [PMID: 38240135 DOI: 10.1039/d3fo04505f] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/20/2024]
Abstract
Diabetes is a global public health issue, characterized by an abnormal level of blood glucose. It can be classified into type 1, type 2, gestational, and other rare diabetes. Recent studies have reported that many dietary natural products exhibit anti-diabetic activity. In this narrative review, the effects and underlying mechanisms of dietary natural products on diabetes are summarized based on the results from epidemiological, experimental, and clinical studies. Some fruits (e.g., grape, blueberry, and cherry), vegetables (e.g., bitter melon and Lycium barbarum leaves), grains (e.g., oat, rye, and brown rice), legumes (e.g., soybean and black bean), spices (e.g., cinnamon and turmeric) and medicinal herbs (e.g., Aloe vera leaf and Nigella sativa), and vitamin C and carotenoids could play important roles in the prevention and management of diabetes. Their underlying mechanisms include exerting antioxidant, anti-inflammatory, and anti-glycation effects, inhibiting carbohydrate-hydrolyzing enzymes, enhancing insulin action, alleviating insulin resistance, modulating the gut microbiota, and so on. This review can provide people with a comprehensive knowledge of anti-diabetic dietary natural products, and support their further development into functional food to prevent and manage diabetes.
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Affiliation(s)
- Jin Cheng
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Department of Nutrition, School of Public Health, Sun Yat-Sen University, Guangzhou 510080, China.
| | - Jiahui Li
- School of Chinese Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong 999077, China.
| | - Ruo-Gu Xiong
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Department of Nutrition, School of Public Health, Sun Yat-Sen University, Guangzhou 510080, China.
| | - Si-Xia Wu
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Department of Nutrition, School of Public Health, Sun Yat-Sen University, Guangzhou 510080, China.
| | - Xiao-Yu Xu
- School of Chinese Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong 999077, China.
| | - Guo-Yi Tang
- School of Chinese Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong 999077, China.
| | - Si-Yu Huang
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Department of Nutrition, School of Public Health, Sun Yat-Sen University, Guangzhou 510080, China.
| | - Dan-Dan Zhou
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Department of Nutrition, School of Public Health, Sun Yat-Sen University, Guangzhou 510080, China.
| | - Hua-Bin Li
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Department of Nutrition, School of Public Health, Sun Yat-Sen University, Guangzhou 510080, China.
| | - Yibin Feng
- School of Chinese Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong 999077, China.
| | - Ren-You Gan
- Singapore Institute of Food and Biotechnology Innovation (SIFBI), Agency for Science, Technology and Research (A*STAR), 31 Biopolis Way, Singapore 138669, Singapore.
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3
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Jaworsky K, DeVillez P, Alexander JM, Basu A. Effects of an Eating Pattern Including Colorful Fruits and Vegetables on Management of Gestational Diabetes: A Randomized Controlled Trial. Nutrients 2023; 15:3624. [PMID: 37630814 PMCID: PMC10458836 DOI: 10.3390/nu15163624] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Revised: 08/15/2023] [Accepted: 08/16/2023] [Indexed: 08/27/2023] Open
Abstract
Gestational diabetes mellitus (GDM), defined as abnormal glucose tolerance that presents during the second and third trimesters of pregnancy, is a growing issue in the United States and worldwide. If left untreated or poorly controlled, GDM can result in numerous consequences for both the mother and the fetus; thus, it is imperative that different avenues of management for GDM be explored. There is a paucity of studies that examine how lifestyle changes, including dietary and physical activity, affect management of GDM. We examined how counseling on lifestyle changes can affect cardiometabolic risks in women with GDM. We conducted a 12-week randomized controlled trial based on behavioral counseling in which women with GDM (N = 38) were randomized into either a nutrition education (control) (N = 18) group or nutrition intervention (N = 20) group. The nutrition education group were given dietary counseling regarding healthy dietary choices based on USDA guidelines, while the nutrition intervention group were instructed to consume a total of one cup of whole berries and one cup of leafy vegetables daily along with performing postprandial exercise (walking). Blood samples, anthropometric measures, and dietary and physical activity data, recorded in daily food and activity logs, were collected at baseline and at the end of the study and compared between the two groups. Dietary counseling on supplementation with whole berries and leafy vegetables resulted in increased fiber intake, increased antioxidant intake and total serum antioxidant capacity, improved random blood glucose, decreased serum IL-6, and improved HDL cholesterol versus the control group (all p < 0.05). These results highlight that whole berry and leafy vegetable supplementation-based dietary counseling can improve the metabolic pathways involved in gestational diabetes pathogenesis and prognosis. These functional foods must be recommended in the management of pregnancies affected by GDM.
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Affiliation(s)
- Kataryna Jaworsky
- Kirk Kerkorian School of Medicine, University of Nevada, Las Vegas, NV 89154, USA;
- Department of Kinesiology and Nutrition Sciences, School of Integrated Health Sciences, University of Nevada, Las Vegas, NV 89154, USA;
| | - Pamela DeVillez
- Department of Kinesiology and Nutrition Sciences, School of Integrated Health Sciences, University of Nevada, Las Vegas, NV 89154, USA;
| | - James M. Alexander
- Department of Obstetrics and Gynecology, UNR School of Medicine, University of Nevada, Reno, NV 89557, USA;
| | - Arpita Basu
- Department of Kinesiology and Nutrition Sciences, School of Integrated Health Sciences, University of Nevada, Las Vegas, NV 89154, USA;
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4
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Li Y, Liu X, Chu Y, Li C, Gao T, Jiang X, Zhu Z, Sheng Q, Han L. Effect of high-fructose consumption in pregnancy on the bone growth of offspring rats. Front Nutr 2023; 10:1203063. [PMID: 37662593 PMCID: PMC10469680 DOI: 10.3389/fnut.2023.1203063] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Accepted: 07/24/2023] [Indexed: 09/05/2023] Open
Abstract
Growing evidence suggests that bone health is programmed in early life. Maternal diet may influence the skeletal development of offspring. We aimed to determine the possible effects of high-fructose intake during pregnancy on different aspects of long bone morphology in the offspring of rats and to initially explore the possible mechanisms. Pregnant Sprague-Dawley rats were randomly divided into four groups and intragastrically administered the same dose of distilled water (CON, n = 12), 20 g/kg/day glucose (GLU, n = 12), 10 g/kg/day fructose (LFRU, n = 12), or 20 g/kg/day fructose (HFRU, n = 12) for 21 days during gestation. Computed tomography was used to analyze the cortical and cancellous bones of the distal femur of the offspring rats, and circulating bone metabolic biomarkers were measured using enzyme immunoassay. The results showed that high-fructose intake during pregnancy could decrease body weight, impair glucose metabolism, and increase serum leptin and uric acid in offspring. The offspring in the HFRU group had higher levels of the N-terminal propeptide of type I procollagen (PINP) and the C-telopeptide of type I collagen (CTX). The bone mean density (BMD), the total cross-sectional area inside the periosteal envelope (Tt.Ar), cortical bone area (Ct.Ar), medullary (or marrow) area (Ma.Ar), and trabecular mean density of the offspring in the HFRU group were lower than those in the CON group. Tartrate-resistant acid phosphatase (Trap) staining showed that high-fructose intake during pregnancy could increase the number of osteoclasts and increase the absorption area. Our results suggested that excessive fructose intake during pregnancy could inhibit skeletal development in offspring. Thus, attention to fructose intake during pregnancy is important for bone development in offspring.
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Affiliation(s)
- Yijing Li
- Department of Nutrition, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Xiaoqian Liu
- Maternal, Child & Adolescent Health, Qingdao University, Qingdao, China
| | - Yuning Chu
- Department of Nutrition, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Cai Li
- Department of Nutrition, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Tianlin Gao
- School of Public Health, Qingdao University, Qingdao, China
| | - Xiuli Jiang
- Department of Nutrition, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Zihan Zhu
- Department of Nutrition, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Qi Sheng
- Department of Nutrition, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Lei Han
- Department of Nutrition, The Affiliated Hospital of Qingdao University, Qingdao, China
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5
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Liao YP, Zheng QX, Jiang XM, Chen XQ, Gao XX, Pan YQ. Fruit, vegetable, and fruit juice consumption and risk of gestational diabetes mellitus: a systematic review and meta-analysis : List of all authors. Nutr J 2023; 22:27. [PMID: 37208776 DOI: 10.1186/s12937-023-00855-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2022] [Accepted: 05/10/2023] [Indexed: 05/21/2023] Open
Abstract
BACKGROUND Fruit, vegetable, and fruit juice intake is associated with the risk of gestational diabetes mellitus (GDM). However, the conclusion is limited and conflicted. The purpose of this systematic review and meta-analysis is to investigate the association between fruit, vegetable, and fruit juice consumption and the risk of GDM. METHODS To find relevant studies, we searched PubMed, The Cochrane Library, Web of Science, Embase, ScienceDirect, PsycINFO, CINAHL, Ovid, EBSCO, CBM, CNKI, Wanfang Data, and VIP for the report on prospective cohort studies published from inception to April 8, 2022. Summary relative risks (RR) and 95% confidence intervals (Cis) were estimated using a random-effects model. RESULTS A total of 12 studies with 32,794 participants were included in the meta-analysis. Total fruit consumption was associated with a lower risk of GDM (RR = 0.92, 95% CI = 0.86-0.99). Whereas an increasing the consumption of vegetable, including all vegetable (RR = 0.95, 95% CI = 0.87-1.03), starchy vegetable (RR = 1.01, 95% CI = 0.82-1.26), and fruit juice (RR = 0.97, 95% CI = 0.91-1.04) was not associated with a reduction in the risk of GDM. In a dose‒response analysis of eight studies, a 3% reduction in risk of GDM for a 100 g/d increase in fruit consumption (RR = 0.97, 95% CI = 0.96-0.99). CONCLUSIONS The findings suggest that higher fruit consumption may reduce the risk of GDM, with a 3% reduction in the risk of GDM for every 100 g/d increase in fruit intake. Higher-quality prospective studies or randomized clinical trials are required to validate the effect of different variations of fruits, vegetables, and fruit juice consumption on the risk of GDM.
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Affiliation(s)
- Yan-Ping Liao
- School of Nursing, Fujian Medical University, No. 1 Xuefu North Road, University Town, Shangjie Zhen, Minhou County, Fuzhou City, 350000, Fujian Province, China
- Fujian Maternity and Child Health Hospital College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, No. 18 Daoshan Street, Gulou District, Fuzhou City, 350000, Fujian Province, China
| | - Qing-Xiang Zheng
- Fujian Maternity and Child Health Hospital College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, No. 18 Daoshan Street, Gulou District, Fuzhou City, 350000, Fujian Province, China
- Fujian Obstetrics and Gynecology Hospital, Zhanban Street, Jinan District, Fuzhou City, 350000, Fujian Province, China
| | - Xiu-Min Jiang
- Fujian Maternity and Child Health Hospital College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, No. 18 Daoshan Street, Gulou District, Fuzhou City, 350000, Fujian Province, China.
| | - Xiao-Qian Chen
- Fujian Maternity and Child Health Hospital College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, No. 18 Daoshan Street, Gulou District, Fuzhou City, 350000, Fujian Province, China
- Fujian Obstetrics and Gynecology Hospital, Zhanban Street, Jinan District, Fuzhou City, 350000, Fujian Province, China
| | - Xiao-Xia Gao
- School of Nursing, Fujian Medical University, No. 1 Xuefu North Road, University Town, Shangjie Zhen, Minhou County, Fuzhou City, 350000, Fujian Province, China
| | - Yu-Qing Pan
- Fujian Maternity and Child Health Hospital College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, No. 18 Daoshan Street, Gulou District, Fuzhou City, 350000, Fujian Province, China
- Fujian Obstetrics and Gynecology Hospital, Zhanban Street, Jinan District, Fuzhou City, 350000, Fujian Province, China
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6
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Li L, Yang HY, Ma Y, Liang XH, Xu M, Zhang J, Huang ZX, Meng LH, Zhou J, Xian J, Suo YJ, Huang S, Cai JW, Meng BH, Zhao ZY, Lu JL, Xu Y, Wang TG, Li M, Chen YH, Wang WQ, Bi YF, Ning G, Shen FX, Hu RY, Chen G, Chen L, Chen LL, Deng HC, Gao ZN, Huo YN, Li Q, Liu C, Mu YM, Qin GJ, Shi LX, Su Q, Wan Q, Wang GX, Wang SY, Wang YM, Wu SL, Xu YP, Yan L, Yang T, Ye Z, Yu XF, Zhang YF, Zhao JJ, Zeng TS, Tang XL, Qin YF, Luo ZJ. Whole fresh fruit intake and risk of incident diabetes in different glycemic stages: a nationwide prospective cohort investigation. Eur J Nutr 2023; 62:771-782. [PMID: 36261730 PMCID: PMC9941276 DOI: 10.1007/s00394-022-02998-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Accepted: 08/31/2022] [Indexed: 11/04/2022]
Abstract
PURPOSE Fruit intake is beneficial to several chronic diseases, but controversial in diabetes. We aimed to investigate prospectively the associations of whole fresh fruit intake with risk of incident type 2 diabetes (T2D) in subjects with different glucose regulation capacities. METHODS The present study included 79,922 non-diabetic participants aged ≥ 40 years from an ongoing nationwide prospective cohort in China. Baseline fruit intake information was collected by a validated food frequency questionnaire. Plasma HbA1c, fasting and 2 h post-loading glucose levels were measured at both baseline and follow-up examinations. Cox proportional hazards models were used to calculate hazard ratio (HR) and 95% confidence intervals (CI) for incident diabetes among participants with normal glucose tolerance (NGT) and prediabetes, after adjusted for multiple confounders. Restricted cubic spline analysis was applied for dose-response relation. RESULTS During a median 3.8-year follow-up, 5886 (7.36%) participants developed diabetes. Overall, we identified a linear and dose-dependent inverse association between dietary whole fresh fruit intake and risk of incident T2D. Each 100 g/d higher fruit intake was associated with 2.8% lower risk of diabetes (HR 0.972, 95%CI [0.949-0.996], P = 0.0217), majorly benefiting NGT subjects with 15.2% lower risk (HR 0.848, 95%CI [0.766-0.940], P = 0.0017), while not significant in prediabetes (HR 0.981, 95%CI 0.957-4.005, P = 0.1268). Similarly, the inverse association was present in normoglycemia individuals with a 48.6% lower risk of diabetes when consuming fruits > 7 times/week comparing to those < 1 time/week (HR 0.514, 95% CI [0.368-0.948]), but not in prediabetes (HR 0.883, 95% CI [0.762-1.023]). CONCLUSION These findings suggest that higher frequency and amount of fresh fruit intake may protect against incident T2D, especially in NGT, but not in prediabetes, highlighting the dietary recommendation of higher fresh fruit consumption to prevent T2D in normoglycemia population.
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Affiliation(s)
- Li Li
- grid.412594.f0000 0004 1757 2961Department of Endocrinology, The First Affiliated Hospital of Guangxi Medical University, No. 6 of Shuangyong Road, Nanning, 530021 Guangxi China
| | - Hai-Yan Yang
- grid.412594.f0000 0004 1757 2961Department of Endocrinology, The First Affiliated Hospital of Guangxi Medical University, No. 6 of Shuangyong Road, Nanning, 530021 Guangxi China
| | - Yan Ma
- grid.412594.f0000 0004 1757 2961Department of Ultrasonography, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Xing-Huan Liang
- grid.412594.f0000 0004 1757 2961Department of Endocrinology, The First Affiliated Hospital of Guangxi Medical University, No. 6 of Shuangyong Road, Nanning, 530021 Guangxi China
| | - Min Xu
- grid.16821.3c0000 0004 0368 8293Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China ,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Shanghai, China
| | - Jie Zhang
- grid.412594.f0000 0004 1757 2961Department of Endocrinology, The First Affiliated Hospital of Guangxi Medical University, No. 6 of Shuangyong Road, Nanning, 530021 Guangxi China
| | - Zhen-Xing Huang
- grid.412594.f0000 0004 1757 2961Department of Endocrinology, The First Affiliated Hospital of Guangxi Medical University, No. 6 of Shuangyong Road, Nanning, 530021 Guangxi China
| | - Li-Heng Meng
- grid.412594.f0000 0004 1757 2961Department of Endocrinology, The First Affiliated Hospital of Guangxi Medical University, No. 6 of Shuangyong Road, Nanning, 530021 Guangxi China
| | - Jia Zhou
- grid.412594.f0000 0004 1757 2961Department of Endocrinology, The First Affiliated Hospital of Guangxi Medical University, No. 6 of Shuangyong Road, Nanning, 530021 Guangxi China
| | - Jing Xian
- grid.412594.f0000 0004 1757 2961Department of Endocrinology, The First Affiliated Hospital of Guangxi Medical University, No. 6 of Shuangyong Road, Nanning, 530021 Guangxi China
| | - Ying-Jun Suo
- grid.412594.f0000 0004 1757 2961Department of Endocrinology, The First Affiliated Hospital of Guangxi Medical University, No. 6 of Shuangyong Road, Nanning, 530021 Guangxi China
| | - Song Huang
- grid.412594.f0000 0004 1757 2961Department of Endocrinology, The First Affiliated Hospital of Guangxi Medical University, No. 6 of Shuangyong Road, Nanning, 530021 Guangxi China
| | - Jin-Wei Cai
- grid.412594.f0000 0004 1757 2961Department of Endocrinology, The First Affiliated Hospital of Guangxi Medical University, No. 6 of Shuangyong Road, Nanning, 530021 Guangxi China
| | - Bi-Hui Meng
- grid.412594.f0000 0004 1757 2961Department of Endocrinology, The First Affiliated Hospital of Guangxi Medical University, No. 6 of Shuangyong Road, Nanning, 530021 Guangxi China
| | - Zhi-Yun Zhao
- grid.16821.3c0000 0004 0368 8293Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China ,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Shanghai, China
| | - Jie-Li Lu
- grid.16821.3c0000 0004 0368 8293Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China ,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Shanghai, China
| | - Yu Xu
- grid.16821.3c0000 0004 0368 8293Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China ,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Shanghai, China
| | - Tian-Ge Wang
- grid.16821.3c0000 0004 0368 8293Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China ,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Shanghai, China
| | - Mian Li
- grid.16821.3c0000 0004 0368 8293Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China ,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Shanghai, China
| | - Yu-Hong Chen
- grid.16821.3c0000 0004 0368 8293Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China ,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Shanghai, China
| | - Wei-Qing Wang
- grid.16821.3c0000 0004 0368 8293Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China ,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Shanghai, China
| | - Yu-Fang Bi
- grid.16821.3c0000 0004 0368 8293Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China ,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Shanghai, China
| | - Guang Ning
- grid.16821.3c0000 0004 0368 8293Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China ,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Shanghai, China
| | - Fei-Xia Shen
- grid.414906.e0000 0004 1808 0918The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Ru-Ying Hu
- grid.433871.aZhejiang Provincial Center for Disease Control and Prevention, Zhejiang, China
| | - Gang Chen
- grid.256112.30000 0004 1797 9307Fujian Provincial Hospital, Fujian Medical University, Fuzhou, China
| | - Li Chen
- grid.452402.50000 0004 1808 3430Qilu Hospital of Shandong University, Jinan, China
| | - Lu-Lu Chen
- grid.33199.310000 0004 0368 7223Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Hua-Cong Deng
- grid.452206.70000 0004 1758 417XThe First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Zheng-Nan Gao
- grid.452337.40000 0004 0644 5246Dalian Municipal Central Hospital, Dalian, China
| | - Ya-Nan Huo
- grid.415002.20000 0004 1757 8108Jiangxi Provincial People’s Hospital Affiliated to Nanchang University, Nanchang, China
| | - Qiang Li
- grid.412463.60000 0004 1762 6325The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Chao Liu
- grid.412676.00000 0004 1799 0784Jiangsu Province Hospital on Integration of Chinese and Western Medicine, Nanjing, China
| | - Yi-Ming Mu
- grid.414252.40000 0004 1761 8894Chinese People’s Liberation Army General Hospital, Beijing, China
| | - Gui-Jun Qin
- grid.412633.10000 0004 1799 0733The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Li-Xin Shi
- grid.452244.1Affiliated Hospital of Guiyang Medical College, Guiyang, China
| | - Qing Su
- grid.412987.10000 0004 0630 1330Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Qin Wan
- grid.488387.8The Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Gui-Xia Wang
- grid.430605.40000 0004 1758 4110The First Hospital of Jilin University, Changchun, China
| | - Shuang-Yuan Wang
- grid.16821.3c0000 0004 0368 8293Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China ,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Shanghai, China
| | - You-Min Wang
- grid.412679.f0000 0004 1771 3402The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Sheng-Li Wu
- Karamay Municipal People’s Hospital, Xinjiang, China
| | - Yi-Ping Xu
- grid.16821.3c0000 0004 0368 8293Clinical Trials Center, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Li Yan
- grid.12981.330000 0001 2360 039XSun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Tao Yang
- grid.412676.00000 0004 1799 0784The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Zhen Ye
- grid.433871.aZhejiang Provincial Center for Disease Control and Prevention, Zhejiang, China
| | - Xue-Feng Yu
- grid.33199.310000 0004 0368 7223Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yin-Fei Zhang
- grid.459667.fCentral Hospital of Shanghai Jiading District, Shanghai, China
| | - Jia-Jun Zhao
- grid.460018.b0000 0004 1769 9639Shandong Provincial Hospital Affiliated to Shandong University, Jinan, China
| | - Tian-Shu Zeng
- grid.33199.310000 0004 0368 7223Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xu-Lei Tang
- grid.412643.60000 0004 1757 2902The First Hospital of Lanzhou University, Lanzhou, China
| | - Ying-Fen Qin
- Department of Endocrinology, The First Affiliated Hospital of Guangxi Medical University, No. 6 of Shuangyong Road, Nanning, 530021, Guangxi, China.
| | - Zuo-Jie Luo
- Department of Endocrinology, The First Affiliated Hospital of Guangxi Medical University, No. 6 of Shuangyong Road, Nanning, 530021, Guangxi, China.
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Liu Y, Sun R, Lin X, Wu L, Chen H, Shen S, Li Y, Wei Y, Deng G. Procyanidins and its metabolites by gut microbiome improves insulin resistance in gestational diabetes mellitus mice model via regulating NF-κB and NLRP3 inflammasome pathway. Biomed Pharmacother 2022; 151:113078. [PMID: 35567986 DOI: 10.1016/j.biopha.2022.113078] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2022] [Revised: 04/29/2022] [Accepted: 05/04/2022] [Indexed: 02/05/2023] Open
Abstract
Gestational Diabetes Mellitus (GDM) has an effect on the health of pregnant women and fetuses. Procyanidins (PA) is a flavonoid with anti-diabetic activity, but its effects and mechanisms on GDM have not been defined. Herein, we studied further the functions and mechanisms of PA on insulin resistance (IR) in GDM mice, as well as on postpartum and offspring mice. GDM mice model was built by feeding a high-fat-high-sucrose diet, and PA intervention (27.8 mg/kg/d) was performed from 4 weeks before pregnancy to delivery. Intestinal flora deficient (IFD) mice model was established by broad spectrum antibiotics. PA decreased the gestational weight gain, and the levels of fasting blood glucose, insulin, homeostasis model of assessment for IR index, yet increased the levels of HOMA for insulin sensitivity index. Interestingly, in IFD mice the effect of PA on improving IR was significantly weakened. PA inhibited inflammation by decreasing the levels of IL-6, TNF-α, IL-17 and CRP, which also been blocked in the IFD mice. Moreover, PA improved glycometabolism and reduced the secretion of inflammatory factors and hepatic inflammation infiltration of mice at 4 weeks postpartum, but had no significant effect on offspring mice. Mechanistically, PA treatment suppressed the nuclear factor-κB (NF-κB) p65 nuclear translocation and nucleotide-binding domain like receptor protein 3 (NLRP3) inflammasome activation. In vitro studies, 4-hydroxyphenylacetic acid and 3-(4-hydroxyphenyl) propionic acid, main intestinal flora metabolites of PA restrained NF-κB/NLRP3 activation. In conclusions, PA improved IR via NF-κB/NLRP3 pathway in GDM and postpartum mice, which partly through its metabolites by gut microbiome.
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Affiliation(s)
- Yao Liu
- Department of Clinical Nutrition, Union Shenzhen Hospitalof Huazhong University of Science and Technology, Shenzhen, China
| | - Ruifang Sun
- Department of Clinical Nutrition, Union Shenzhen Hospitalof Huazhong University of Science and Technology, Shenzhen, China
| | - XiaoPing Lin
- Department of Nutrition and Food Hygiene, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, China
| | - Lanlan Wu
- Department of Clinical Nutrition, Union Shenzhen Hospitalof Huazhong University of Science and Technology, Shenzhen, China
| | - Hengying Chen
- Injury Prevention Research Center, Shantou University Medical College, Shantou, China
| | - Siwen Shen
- Department of Clinical Nutrition, Union Shenzhen Hospitalof Huazhong University of Science and Technology, Shenzhen, China
| | - Yan Li
- Department of Clinical Nutrition, Chengdu Shuangliu District Maternal and Child Health Hospital, Chengdu, China
| | - Yuanhuan Wei
- Department of Clinical Nutrition, Union Shenzhen Hospitalof Huazhong University of Science and Technology, Shenzhen, China
| | - Guifang Deng
- Department of Clinical Nutrition, Union Shenzhen Hospitalof Huazhong University of Science and Technology, Shenzhen, China.
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8
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Zhao R, Zhou L, Lei G, Wang S, Li Y, Yang X, Xiong G, Hao L. Dietary Acid Load Is Positively Associated With Risk of Gestational Diabetes Mellitus in a Prospective Cohort of Chinese Pregnant Women. Front Nutr 2022; 9:892698. [PMID: 35694169 PMCID: PMC9184257 DOI: 10.3389/fnut.2022.892698] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Accepted: 05/09/2022] [Indexed: 11/16/2022] Open
Abstract
Background Growing evidence suggests that dietary acid load plays an important role in the development of type 2 diabetes. However, prospective studies on the relationship between dietary acid load and gestational diabetes mellitus (GDM) are limited in the pregnant population. This study aimed to investigate the effect of dietary acid load during early pregnancy on the risk of GDM in Chinese pregnant women. Methods A total of 1,327 pregnant women were enrolled from an ongoing prospective study of the Tongji Birth cohort (TJBC) in Wuhan, China. Dietary intake was assessed before 20 weeks using a 74-item semiquantitative food frequency questionnaire (FFQ). The dietary acid load was estimated using potential renal acid load (PRAL), net endogenous acid production (NEAP), and animal protein to potassium ratio (A:P ratio). A 75g 2-h oral glucose tolerance test (OGTT) was performed at 24-28 gestational weeks to diagnose GDM. Results The mean (standard deviation) values for PRAL score, NEAP score, and A:P ratio were 0.8 ± 11.3 mEq/day, 45.3 ± 16.5 mEq/day, and 9.8 ± 6.0, respectively. There was a significant positive correlation of dietary acid load with the intake of red meat, poultry, fish, and eggs, and a negative correlation with the intake of vegetables, fruits, nuts, and legumes (all P < 0.05). Compared to the lowest tertile, the highest tertile of dietary acid load, including PRAL score (odds ratio [OR]: 2.26, 95% confidence interval [CI] = 1.38–3.71, P-trend = 0.002), NEAP score (OR: 2.02, 95% CI = 1.25–3.27, P-trend = 0.009), and A:P ratio (2.08, 95% CI = 1.30–3.31, P-trend = 0.005), significantly increased the risk of GDM. In addition, the dietary acid load was also significantly associated with an increase in 1-h and 2-h post-load blood glucose concentrations (all P-trend < 0.05). Conclusion We found a significant positive association between dietary acid load during early pregnancy and the risk of GDM in a Chinese population, suggesting that the reduction of food sources of dietary acid load may be an effective strategy for preventing the risk of GDM.
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Affiliation(s)
- Rui Zhao
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety and the Ministry of Education (MOE) Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Leilei Zhou
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety and the Ministry of Education (MOE) Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Gang Lei
- The Central Hospital of Wuhan, Wuhan, China
| | - Shanshan Wang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety and the Ministry of Education (MOE) Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yan Li
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety and the Ministry of Education (MOE) Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xuefeng Yang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety and the Ministry of Education (MOE) Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Guoping Xiong
- The Central Hospital of Wuhan, Wuhan, China
- *Correspondence: Guoping Xiong,
| | - Liping Hao
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety and the Ministry of Education (MOE) Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Liping Hao,
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9
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Sun H, Dong H, Zhang Y, Lan X, Pang X, Cai C, Bai D, Zhang J, Li F, Zeng G. Specific fruit but not total fruit intake during early pregnancy is inversely associated with gestational diabetes mellitus risk: a prospective cohort study. Public Health Nutr 2021; 24:4054-4063. [PMID: 33947494 PMCID: PMC10195381 DOI: 10.1017/s1368980021001920] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2020] [Revised: 04/26/2021] [Accepted: 04/29/2021] [Indexed: 11/07/2022]
Abstract
OBJECTIVES Fruit intake may influence gestational diabetes mellitus (GDM) risk. However, prospective evidence remains controversial and limited. The current study aimed to investigate whether total fruit and specific fruit intake influence GDM risk. DESIGN A prospective cohort study was conducted. Dietary information was collected by a 3-d 24-h dietary recall. All participants underwent a standard 75-g oral glucose tolerance test at 24-28 gestational weeks. Log-binomial models were used to estimate the association between fruit intake and GDM risk, and the results are presented as relative risks (RR) and 95 % CI. SETTING Southwest China. PARTICIPANTS Totally, 1453 healthy pregnant women in 2017. RESULTS Total fruit intake was not associated with lower GDM risk (RR of 1·03 (95 % CI 0·83, 1·27) (Ptrend = 0·789)). The RR of GDM risk was 0·73 for the highest anthocyanin-rich fruit intake quartile compared with the lowest quartile (95 % CI 0·56, 0·93; Ptrend = 0·015). A higher grape intake had a linear inverse association with GDM risk (Q4 v. Q1: RR = 0·65; 95 % CI 0·43, 0·98; Ptrend = 0·044), and after further adjustment for anthocyanin intake, the inverse association tended to be non-linear (Q4 v. Q1: RR = 0·65; 95 % CI 0·44, 0·98; Ptrend = 0·079). However, we did not find an association between glycaemic index-grouped fruit, glycaemic load-grouped fruit or other fruit subtype intake and GDM risk. CONCLUSIONS In conclusion, specific fruit intake (particularly anthocyanin-rich fruit and grapes) but not total fruit intake was inversely associated with GDM risk.
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Affiliation(s)
- Hong Sun
- Department of Nutrition and Food Safety, West China School of Public Health and West China Fourth Hospital, Sichuan University, No. 16, Section 3, Renmin Nan Road, Chengdu, SC610041, People’s Republic of China
| | - Hongli Dong
- Department of Nutrition and Food Safety, West China School of Public Health and West China Fourth Hospital, Sichuan University, No. 16, Section 3, Renmin Nan Road, Chengdu, SC610041, People’s Republic of China
| | - Yiqi Zhang
- Department of Nutrition and Food Safety, West China School of Public Health and West China Fourth Hospital, Sichuan University, No. 16, Section 3, Renmin Nan Road, Chengdu, SC610041, People’s Republic of China
| | - Xi Lan
- Department of Nutrition and Food Safety, West China School of Public Health and West China Fourth Hospital, Sichuan University, No. 16, Section 3, Renmin Nan Road, Chengdu, SC610041, People’s Republic of China
| | - Xinxin Pang
- Department of Nutrition and Food Safety, West China School of Public Health and West China Fourth Hospital, Sichuan University, No. 16, Section 3, Renmin Nan Road, Chengdu, SC610041, People’s Republic of China
| | - Congjie Cai
- Department of Nutrition and Food Safety, West China School of Public Health and West China Fourth Hospital, Sichuan University, No. 16, Section 3, Renmin Nan Road, Chengdu, SC610041, People’s Republic of China
| | - Dan Bai
- Department of Nutrition and Food Safety, West China School of Public Health and West China Fourth Hospital, Sichuan University, No. 16, Section 3, Renmin Nan Road, Chengdu, SC610041, People’s Republic of China
| | - Ju Zhang
- Department of Clinical Nutrition, Sichuan Provincial Hospital for Women and Children, Chengdu, SC, People’s Republic of China
| | - Fei Li
- Department of Nutrition and Food Safety, West China School of Public Health and West China Fourth Hospital, Sichuan University, No. 16, Section 3, Renmin Nan Road, Chengdu, SC610041, People’s Republic of China
| | - Guo Zeng
- Department of Nutrition and Food Safety, West China School of Public Health and West China Fourth Hospital, Sichuan University, No. 16, Section 3, Renmin Nan Road, Chengdu, SC610041, People’s Republic of China
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10
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Machairiotis N, Vasilakaki S, Minns L, Malakasis A. Nutrients that modulate gestational diabetes mellitus: A systematic review of cohort studies Jan 2019-Jan 2020. Int J Clin Pract 2021; 75:e14033. [PMID: 33480127 DOI: 10.1111/ijcp.14033] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/11/2020] [Accepted: 01/17/2021] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND The role of eating habits of pregnant women in the development and treatment of gestational diabetes mellitus (GDM) is well established. OBJECTIVES To estimate the contribution of specific nutrients and dietary patterns in the development or privation of GDM in pregnant women. DATA SOURCES A systematic review of cohort studies, published between January 2019 and January 2020, of English articles using PubMed, Scopus and Europe PMC databases. Search terms included diabetes, pregnancy, dietary, food, and nutrients. STUDY SELECTION Only cohort studies about the association between eating habits before and during pregnancy and the risk of GDM in English were included. The studies used dietary patterns, specific nutrients or records of food intake of the participants using a questionnaire. DATA EXTRACTION Two authors independently extracted data from articles-including dietary patterns, food intake, nutrients, number and demographic data of participants, data about pregnancies-using predefined criteria. RESULTS In total, 28 cohort studies were organised to examine the correlation between dietary patterns and the prevention of GDM. Studies were conducted in 13 countries and included 3 058 242 participants. Of those, 13 (46%) studies focused on the consumption of vitamins, probiotics, micronutrients, folate, vegetables and fruits. Moreover, seven (25%) studies focused on what is considered to be "unhealthy" eating habits, including prudent and Western dietary patterns. The mediterranean pattern was used in three (11%) studies. CONCLUSIONS Ongoing studies support advice to adhere to a healthy balanced diet, with the addition of folic acid and a multi-vitamin suitable for pregnancy. There is new evidence suggesting probiotics and cod-liver oil supplementation may improve glycaemic control and also the important consideration of the psychological influences of eating.
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Affiliation(s)
- Nikolaos Machairiotis
- Department of Obstetrics and Gynaecology, Accredited Endometriosis Centre, Northwick Park Hospital, London North West Healthcare NHS Trust, Harrow, London, UK
| | - Sofia Vasilakaki
- Pharmacy Department, University of Athens, Panepistimiopolis of Zographou, Athens, Greece
| | - Laura Minns
- Department of Obstetrics and Gynaecology, Norfolk and Norwich University Hospital NHS Foundation Trust, Norwich, UK
| | - Anastasios Malakasis
- Department of Obstetrics and Gynaecology, Norfolk and Norwich University Hospital NHS Foundation Trust, Norwich, UK
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11
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Li F, Sun H, Dong HL, Zhang YQ, Pang XX, Cai CJ, Bai D, Wang PP, Yang MY, Zeng G. Starchy vegetable intake in the first trimester is associated with a higher risk of gestational diabetes mellitus: a prospective population-based study. J Matern Fetal Neonatal Med 2021; 35:6794-6801. [PMID: 34096443 DOI: 10.1080/14767058.2021.1924144] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
OBJECTIVE The purpose of this study was to evaluate the association between starchy vegetable consumption and subgroup consumption in the first trimester and the risk of gestational diabetes mellitus (GDM). METHODS A prospective study (n = 1444) was conducted in China. Dietary information was assessed by 24-hour dietary recalls for three days and then we calculated the consumption of total starchy vegetable and its subgroups, including (1) potato and (2) other starchy vegetable (pumpkin, lotus root, yam, taro, water chestnut, pea, and cowpea). GDM was diagnosed according to the results of 75-g two-hour oral glucose tolerance test (OGTT) at 24-28 weeks of gestation. A modified log-binomial regression was used to estimate RRs and 95% CIs of GDM risk. RESULTS Among the 1444 participants in our study, 520 were diagnosed with GDM. The adjusted RRs (95% CIs) for GDM from the lowest to the highest quartiles of total starchy vegetable consumption were 1.00 (reference), 1.29 (1.06, 1.57), 1.13 (0.93, 1.40), and 1.26 (1.02, 1.56), respectively; p for trend = .032. For potato, the RR of GDM risk was 1.32 for the highest potato intake quartile compared with the lowest quartile (95% CI 1.07-1.64, p for trend = .003). In addition, we did not observe an association between other starchy vegetable intakes and GDM risk. CONCLUSIONS A higher consumption of total starchy vegetables and potatoes in the first trimester is associated with a greater risk of GDM.
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Affiliation(s)
- Fei Li
- Department of Nutrition and Food Safety, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Hong Sun
- Department of Nutrition and Food Safety, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Hong-Li Dong
- Department of Nutrition and Food Safety, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Yi-Qi Zhang
- Department of Nutrition and Food Safety, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Xin-Xin Pang
- Department of Nutrition and Food Safety, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Cong-Jie Cai
- Department of Nutrition and Food Safety, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Dan Bai
- Department of Nutrition and Food Safety, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Peng-Peng Wang
- Department of Nutrition and Food Safety, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Meng-Yuan Yang
- Department of Nutrition and Food Safety, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Guo Zeng
- Department of Nutrition and Food Safety, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
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12
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Zhang Z, Wu Y, Zhong C, Zhou X, Liu C, Li Q, Chen R, Gao Q, Li X, Zhang H, Zhang Y, Cui W, Hao L, Wei S, Yang X, Yang N. Association between dietary inflammatory index and gestational diabetes mellitus risk in a prospective birth cohort study. Nutrition 2021; 87-88:111193. [PMID: 33774421 DOI: 10.1016/j.nut.2021.111193] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2020] [Revised: 01/12/2021] [Accepted: 02/03/2021] [Indexed: 12/16/2022]
Abstract
OBJECTIVE Information is limited regarding the possible relationship between diet-related inflammation and the risk of gestational diabetes mellitus (GDM). This study investigated the association between the inflammatory potential of the diet, measured by the dietary inflammatory index (DII), and GDM risk in pregnant Chinese women. METHODS This study included 2639 eligible women from the Tongji Maternal and Child Health Cohort. Dietary intake was assessed by a validated semiquantitative food frequency questionnaire and was used to calculate the DII score. The DII was then validated using C-reactive protein measurements in a subsample of 133 pregnant women. GDM diagnoses were collected from medical records based on the results of a 75 g oral glucose tolerance test at 24 to 28 wk gestation. Multivariable-adjusted logistic regression models were performed to estimate the odds ratios (ORs) for GDM risk by DII score, modeled continuously and in tertiles. RESULTS Of the 2639 participants, 13.1% were diagnosed with GDM. DII scores ranged from -4.45 to 3.15 and were positively associated with C-reactive protein (adjusted β : 1.28, 95% confidence interval [CI]: 0.16, 2.40; P trend = 0.023) when comparing DII tertile 3 (most pro-inflammatory) to tertile 1 (most anti-inflammatory). A significant and positive association was observed between DII scores and GDM risk (adjusted OR: 1.43; 95% CI: 1.05, 1.95; P trend = 0.022) comparing the highest versus lowest tertiles. The stratified analysis showed that this association was stronger in pregnant women who were overweight or obese before pregnancy (adjusted OR: 2.20; 95% CI: 1.03, 4.69). CONCLUSIONS These findings suggest that a higher DII score, corresponding to a more proinflammatory diet, is associated with a higher risk of GDM, particularly in pregnant women who were overweight or obese before pregnancy.
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Affiliation(s)
- Zhen Zhang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China; Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Yuanjue Wu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Chunrong Zhong
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Xuezhen Zhou
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Chaoqun Liu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Qian Li
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Renjuan Chen
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Qin Gao
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Xiating Li
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Hongmin Zhang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Yu Zhang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Wenli Cui
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Liping Hao
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Sheng Wei
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Xuefeng Yang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
| | - Nianhong Yang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
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13
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Mohammadi T, Irandoost P, Roshanravan N, Khamechi SP, Milajerdi A, Larijani B, Ayati MH, Namazi N. Is there any association between fruit consumption and the risk of gestational diabetes mellitus? A systematic review and meta-analysis. Complement Ther Med 2020; 54:102445. [PMID: 33183655 DOI: 10.1016/j.ctim.2020.102445] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2019] [Revised: 04/07/2020] [Accepted: 05/13/2020] [Indexed: 01/04/2023] Open
Abstract
AIM Although a considerable number of studies have illustrated the positive effects of fresh fruits on metabolic status, the impacts of fruits on the risk of gestational diabetes mellitus (GDM) are inconsistent. In consideration of this issue, we aimed to systematically summarize the findings of cohort studies with respect to the link between fresh fruits and the risk of GDM. METHOD We selected cohort studies with English language indexed in PubMed/Medline, Scopus, Web of Science, and Embase from 2000 to 31 January 2018. To examine the link between fresh fruits and the risk of GDM development, relative risk (RR) and 95 % confidence intervals (CIs) for the highest versus the lowest consumption of fruits were pooled using a random effect model and the DerSimonian and Laird method. RESULTS Out of 2522 publications, finally 5 cohort studies were obtained. No significant association between fruit consumption and GDM incidence was found (Pooled RR: 0.95; 95 % CI: 0.84, 1.08; I2: 90.3 %, p = 0001). In women who consumed higher amount of fruits before pregnancy, the risk of GDM was 5% lower than in those who consumed lower amount of fruits (0.95; 95 %CI: 0.91, 0.99, I2: 0%, p = 0.85). No link was obtained between fruit consumption during the pregnancy and GDM onset (1.18, 95 % CI: 0.48, 2.91; I2:94.6 %, p = 0.0001). CONCLUSION In women who consumed greater fruits before pregnancy, the risk for GDM was 5 % lower than those consumed lower amounts of fruits, while there was no link between fruit consumption throughout the pregnancy and GDM onset. However, due to limited studies and considerable heterogeneity, the findings must be interpreted with great caution.
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Affiliation(s)
- Tanin Mohammadi
- Department of Clinical Nutrition, School of Nutrition and Food Sciences, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Pardis Irandoost
- Department of Nutrition, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
| | - Neda Roshanravan
- Cardiovascular Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | | | - Alireza Milajerdi
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
| | - Bagher Larijani
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Mohammad Hossein Ayati
- School of Traditional Medicine, Tehran University of Medical Sciences, Tehran, Iran; Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
| | - Nazli Namazi
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran; Diabetes Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
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14
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Gao Q, Zhong C, Zhou X, Chen R, Xiong T, Hong M, Li Q, Kong M, Xiong G, Han W, Sun G, Yang X, Yang N, Hao L. Inverse association of total polyphenols and flavonoids intake and the intake from fruits with the risk of gestational diabetes mellitus: A prospective cohort study. Clin Nutr 2020; 40:550-559. [PMID: 32593522 DOI: 10.1016/j.clnu.2020.05.053] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/29/2020] [Revised: 05/17/2020] [Accepted: 05/27/2020] [Indexed: 11/28/2022]
Abstract
BACKGROUND & AIMS Emerging evidence has shown the inverse association between dietary polyphenols intake and type 2 diabetes mellitus risk, however, few studies focus on the prospective effects of polyphenols on gestational diabetes mellitus (GDM). Thus, the aim was to evaluate whether higher polyphenols intake and the intake from fruits and vegetables was correlated to a lower risk of GDM. METHODS Dietary intake of polyphenols of women with a singleton pregnancy and without any history of diabetes were obtained by a validated food frequency questionnaire from Tongji Maternal and Child Health Cohort study. Oral glucose tolerance tests were conducted at 24-28 weeks to screen for GDM. Logistic regression models were used to evaluate the association between dietary intake of polyphenols, and the results were presented as odds ratios (ORs) with 95% confidence interval (CIs). Generalized linear models were adopted to determine the association of polyphenols intake with blood glucose concentrations, and the results were presented as coefficients (β) with 95% CIs. RESULTS 185 (8.3%) of 2231 pregnant women were diagnosed with GDM. The intake of total polyphenols was 319.9 (217.8-427.0) mg/d, and the intake from fruits and vegetables was 201.6 (115.3-281.8) mg/d and 63.2 (41.1-92.7) mg/d, respectively. Compared with the lowest quartile, the adjusted ORs (95% CIs) of GDM risk for women with the highest quartile of total polyphenols and flavonoids intake was 0.55 (0.30, 0.99), and 0.57 (0.32, 0.99). The adjusted ORs (95% CIs) of GDM risk was 0.55 0.51 (0.30, 0.87) (Pfor trend = 0.017) for polyphenols from fruits, 0.58 (0.34, 0.99) (Pfor trend = 0.038) for flavonoids from fruits, and 0.62 (0.38, 1.00) (Pfor trend = 0.065) for anthocyanidins from fruits comparing the highest versus lowest quartile. In addition, each 100 mg increase of total polyphenols and polyphenols from fruits was associated with 0.054 (0.008, 0.096) (P = 0.021) and 0.061 (0.012, 0.109) (P = 0.015) decrease in 2-h post-load blood glucose. No significant association was found between total polyphenols from vegetables intake and the risk of GDM. CONCLUSIONS Higher dietary intake of total polyphenols and flavonoids and the intake from fruits was associated with lower GDM risk. This study was registered at clinicaltrials.gov as NCT03099837.
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Affiliation(s)
- Qin Gao
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition; and Safety, China; Ministry of Education (MOE) Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, China; Department of Public Health, Jining Medical University, China
| | - Chunrong Zhong
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition; and Safety, China; Ministry of Education (MOE) Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, China
| | - Xuezhen Zhou
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition; and Safety, China; Ministry of Education (MOE) Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, China
| | - Renjuan Chen
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition; and Safety, China; Ministry of Education (MOE) Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, China
| | - Ting Xiong
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition; and Safety, China; Ministry of Education (MOE) Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, China
| | - Miao Hong
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition; and Safety, China; Ministry of Education (MOE) Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, China
| | - Qian Li
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition; and Safety, China; Ministry of Education (MOE) Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, China
| | - Man Kong
- The Central Hospital of Wuhan, China
| | | | | | | | - Xuefeng Yang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition; and Safety, China; Ministry of Education (MOE) Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, China
| | - Nianhong Yang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition; and Safety, China; Ministry of Education (MOE) Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, China.
| | - Liping Hao
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition; and Safety, China; Ministry of Education (MOE) Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, China.
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15
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Brown RB. Diabetes, Diabetic Complications, and Phosphate Toxicity: A Scoping Review. Curr Diabetes Rev 2020; 16:674-689. [PMID: 31686640 DOI: 10.2174/1573399815666191104113236] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/03/2019] [Revised: 10/09/2019] [Accepted: 10/28/2019] [Indexed: 02/06/2023]
Abstract
This article presents a scoping review and synthesis of research findings investigating the toxic cellular accumulation of dysregulated inorganic phosphate-phosphate toxicity-as a pathophysiological determinant of diabetes and diabetic complications. Phosphorus, an essential micronutrient, is closely linked to the cellular metabolism of glucose for energy production, and serum inorganic phosphate is often transported into cells along with glucose during insulin therapy. Mitochondrial dysfunction and apoptosis, endoplasmic reticulum stress, neuronal degeneration, and pancreatic cancer are associated with dysregulated levels of phosphate in diabetes. Ectopic calcification involving deposition of calcium-phosphate crystals is prevalent throughout diabetic complications, including vascular calcification, nephropathy, retinopathy, and bone disorders. A low-glycemic, low-phosphate dietary intervention is proposed for further investigations in the treatment and prevention of diabetes and related diabetic pathologies.
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Affiliation(s)
- Ronald B Brown
- School of Public Health and Health Systems, University of Waterloo, Waterloo, ON N2L 3G1, Canada
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