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Zhu Y, Zhu H, Dang Q, Yang Q, Zhao X, Zhang Y, Cai X, Hu Z, Wei Y, Chen Z, Yu H. Elevated serum cholesterol levels during pregnancy as predictors for postpartum hypercholesterolemia: A prospective cohort study. Int J Gynaecol Obstet 2024. [PMID: 39286969 DOI: 10.1002/ijgo.15922] [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: 02/08/2024] [Revised: 06/11/2024] [Accepted: 09/04/2024] [Indexed: 09/19/2024]
Abstract
OBJECTIVE To identify the associations between gestational cholesterol levels and the risk of postpartum hypercholesterolemia, and to establish trimester-specific reference values. METHODS Serum lipids at gestational weeks 6-8, 16, 24, and 36, and 42 days postpartum were derived from 905 pregnant women of a prospective cohort. The major outcome was postpartum hypercholesterolemia. Logistic regression and restricted cubic splines were conducted to estimate the associations between cholesterol levels at specific gestational ages and postpartum hypercholesterolemia. Associations of the trend of changes in cholesterol levels during pregnancy with postpartum hypercholesterolemia were evaluated by linear mixed-effect model and linear or logistic regression. Reference values were computed by the receiver operating characteristic curves. RESULTS Serum concentrations of total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), and the ratios of TC/HDL-C and LDL-C/HDL-C all increased during pregnancy and decreased at 42 days postpartum. The elevated levels of TC and LDL-C, decreased levels of HDL-C in pregnancy, and their rapid change rates were positively associated with higher risks of postpartum hypercholesterolemia. The established reference values from the first to the third trimester were below 5.47, 6.35, and 7.22 mmol/L for TC; below 2.83, 3.82, and 4.21 mmol/L for LDL-C; and more than 1.50, 1.55, and 1.50 mmol/L for HDL-C, respectively. CONCLUSION Maternal cholesterol levels and their trend of change during pregnancy were predictors of postpartum hypercholesterolemia. Trimester-specific reference values were established in a Chinese population.
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Affiliation(s)
- Yandi Zhu
- Department of Nutrition and Food Hygiene, School of Public Health, Capital Medical University, Beijing, China
| | - Haiyan Zhu
- Department of Obstetrics, Fuxing Hospital, Capital Medical University, Beijing, China
| | - Qinyu Dang
- Department of Nutrition and Food Hygiene, School of Public Health, Capital Medical University, Beijing, China
| | - Qian Yang
- Department of Nutrition and Food Hygiene, School of Public Health, Capital Medical University, Beijing, China
| | - Xiaoyan Zhao
- Department of Nutrition and Food Hygiene, School of Public Health, Capital Medical University, Beijing, China
| | - Yadi Zhang
- Department of Nutrition and Food Hygiene, School of Public Health, Capital Medical University, Beijing, China
| | - Xiaxia Cai
- Department of Nutrition and Food Hygiene, School of Public Health, Capital Medical University, Beijing, China
| | - Zhuo Hu
- Department of Nutrition and Food Hygiene, School of Public Health, Capital Medical University, Beijing, China
| | - Yuchen Wei
- Department of Nutrition and Food Hygiene, School of Public Health, Capital Medical University, Beijing, China
| | - Zhaoyang Chen
- Department of Nutrition and Food Hygiene, School of Public Health, Capital Medical University, Beijing, China
| | - Huanling Yu
- Department of Nutrition and Food Hygiene, School of Public Health, Capital Medical University, Beijing, China
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Liu J, Jiang Y, Zhang Q, Qin Y, Li K, Xie Y, Zhang T, Wang X, Yang X, Zhang L, Liu G. Linoleic Acid Promotes Mitochondrial Biogenesis and Alleviates Acute Lung Injury. THE CLINICAL RESPIRATORY JOURNAL 2024; 18:e70004. [PMID: 39313818 PMCID: PMC11420096 DOI: 10.1111/crj.70004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/25/2023] [Revised: 08/01/2024] [Accepted: 08/05/2024] [Indexed: 09/25/2024]
Abstract
INTRODUCTION Acute lung injury (ALI) is a critical and lethal medical condition. This syndrome is characterized by an imbalance in the body's oxidation stress and inflammation. Linoleic acid (LA), a polyunsaturated fatty acid, has been extensively studied for its potential health benefits, including anti-inflammatory and antioxidant activities. However, the therapeutic effects of LA on ALI remain unexplored. METHODS Lipopolysaccharide (LPS), found in gram-negative bacteria's outer membrane, was intraperitoneally injected to induce ALI in mice. In vitro model was established by LPS stimulation of mouse lung epithelial 12 (MLE-12) cells. RESULTS LA treatment demonstrated a significant amelioration in LPS-induced hypothermia, poor state, and pulmonary injury in mice. LA treatment resulted in a reduction in the concentration of bronchoalveolar lavage fluid (BALF) protein and an increase in myeloperoxidase (MPO) activity in LPS-induced mice. LA treatment reduced the generation of white blood cells. LA treatment reduced cell-free (cfDNA) release and promote adenosine triphosphate (ATP) production. LA increased the levels of superoxide dismutase (SOD) and glutathione (GSH) but decreased the production of malondialdehyde (MDA). LA treatment enhanced mitochondrial membrane potential. LA attenuated LPS-induced elevations of inflammatory cytokines in both mice and cells. Additionally, LA exerted its protective effect against LPS-induced damage through activation of the peroxisome proliferator-activated receptor γ coactivator l alpha (PGC-1α)/nuclear respiratory factor 1 (NRF1)/transcription factor A of the mitochondrion (TFAM) pathway. CONCLUSION LA may reduce inflammation and stimulate mitochondrial biogenesis in ALI mice and MLE-12 cells.
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Affiliation(s)
- Jie Liu
- Department of Emergency and Critical Care Medicine, University-Town Hospital of Chongqing Medical University, Chongqing, China
- Medical Sciences Research Center, University-Town Hospital of Chongqing Medical University, Chongqing, China
| | - Yu Jiang
- Department of Respiratory and Critical Care Medicine, University-Town Hospital of Chongqing Medical University, Chongqing, China
| | - Qiuhong Zhang
- Department of Emergency and Critical Care Medicine, University-Town Hospital of Chongqing Medical University, Chongqing, China
- Medical Sciences Research Center, University-Town Hospital of Chongqing Medical University, Chongqing, China
| | - Yin Qin
- Department of Emergency and Critical Care Medicine, University-Town Hospital of Chongqing Medical University, Chongqing, China
- Medical Sciences Research Center, University-Town Hospital of Chongqing Medical University, Chongqing, China
| | - Kexin Li
- Medical Sciences Research Center, University-Town Hospital of Chongqing Medical University, Chongqing, China
| | - Yu Xie
- Department of Emergency and Critical Care Medicine, University-Town Hospital of Chongqing Medical University, Chongqing, China
- Medical Sciences Research Center, University-Town Hospital of Chongqing Medical University, Chongqing, China
| | - Tingting Zhang
- Department of Emergency and Critical Care Medicine, University-Town Hospital of Chongqing Medical University, Chongqing, China
- Medical Sciences Research Center, University-Town Hospital of Chongqing Medical University, Chongqing, China
| | - Xiaoliang Wang
- Medical Sciences Research Center, University-Town Hospital of Chongqing Medical University, Chongqing, China
| | - Xi Yang
- Medical Sciences Research Center, University-Town Hospital of Chongqing Medical University, Chongqing, China
- Department of Anesthesiology, Chongqing Emergency Medical Center, Chongqing, China
| | - Li Zhang
- Department of Pathophysiology, Chongqing Medical University, Chongqing, China
| | - Gang Liu
- Department of Emergency and Critical Care Medicine, University-Town Hospital of Chongqing Medical University, Chongqing, China
- Medical Sciences Research Center, University-Town Hospital of Chongqing Medical University, Chongqing, China
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Liu S, Du M, Sun J, Tu Y, Gu X, Cai P, Lu Z, Wang Y, Shan T. Bacillus subtilis and Enterococcus faecium co-fermented feed alters antioxidant capacity, muscle fibre characteristics and lipid profiles of finishing pigs. Br J Nutr 2024; 131:1298-1307. [PMID: 38098370 DOI: 10.1017/s000711452300291x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2024]
Abstract
This study aimed to assess how Bacillus subtilis and Enterococcus faecium co-fermented feed (FF) affects the antioxidant capacity, muscle fibre types and muscle lipid profiles of finishing pigs. In this study, a total of 144 Duroc × Berkshire × Jiaxing Black finishing pigs were randomly assigned into three groups with four replicates (twelve pigs per replication). The three treatments were a basal diet (0 % FF), basal diet + 5 % FF and basal diet + 10 % FF, respectively. The experiment lasted 38 d after 4 d of acclimation. The study revealed that 10 % FF significantly increased the activity of superoxide dismutase (SOD) and catalase (CAT) compared with 0 % FF group, with mRNA levels of up-regulated antioxidant-related genes (GPX1, SOD1, SOD2 and CAT) in 10 % FF group. 10 % FF also significantly up-regulated the percentage of slow-twitch fibre and the mRNA expression of MyHC I, MyHC IIa and MyHC IIx, and slow MyHC protein expression while reducing MyHC IIb mRNA expression. Lipidomics analysis showed that 5 % FF and 10 % FF altered lipid profiles in longissimus thoracis. 10 % FF particularly led to an increase in the percentage of TAG. The Pearson correlation analysis indicated that certain molecular markers such as phosphatidic acid (PA) (49:4), Hex2Cer (d50:6), cardiolipin (CL) (72:8) and phosphatidylcholine (PC) (33:0e) could be used to indicate the characteristics of muscle fibres and were closely related to meat quality. Together, our findings suggest that 10 % FF improved antioxidant capacity, enhanced slow-twitch fibre percentage and altered muscle lipid profiles in finishing pigs.
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Affiliation(s)
- Shiqi Liu
- College of Animal Sciences, Zhejiang University, Hangzhou, People's Republic of China
- Key Laboratory of Molecular Animal Nutrition (Zhejiang University), Ministry of Education, Hangzhou, People's Republic of China
- Key Laboratory of Animal Nutrition and Feed Science (Eastern of China), Ministry of Agriculture and Rural Affairs, Hangzhou, People's Republic of China
- Key Laboratory of Animal Feed and Nutrition of Zhejiang Province, Hangzhou, People's Republic of China
| | - Man Du
- College of Animal Sciences, Zhejiang University, Hangzhou, People's Republic of China
- Key Laboratory of Molecular Animal Nutrition (Zhejiang University), Ministry of Education, Hangzhou, People's Republic of China
- Key Laboratory of Animal Nutrition and Feed Science (Eastern of China), Ministry of Agriculture and Rural Affairs, Hangzhou, People's Republic of China
- Key Laboratory of Animal Feed and Nutrition of Zhejiang Province, Hangzhou, People's Republic of China
| | - Jiabao Sun
- College of Animal Sciences, Zhejiang University, Hangzhou, People's Republic of China
| | - Yuang Tu
- College of Animal Sciences, Zhejiang University, Hangzhou, People's Republic of China
- Key Laboratory of Molecular Animal Nutrition (Zhejiang University), Ministry of Education, Hangzhou, People's Republic of China
- Key Laboratory of Animal Nutrition and Feed Science (Eastern of China), Ministry of Agriculture and Rural Affairs, Hangzhou, People's Republic of China
- Key Laboratory of Animal Feed and Nutrition of Zhejiang Province, Hangzhou, People's Republic of China
| | - Xin Gu
- College of Animal Sciences, Zhejiang University, Hangzhou, People's Republic of China
- Key Laboratory of Molecular Animal Nutrition (Zhejiang University), Ministry of Education, Hangzhou, People's Republic of China
- Key Laboratory of Animal Nutrition and Feed Science (Eastern of China), Ministry of Agriculture and Rural Affairs, Hangzhou, People's Republic of China
- Key Laboratory of Animal Feed and Nutrition of Zhejiang Province, Hangzhou, People's Republic of China
| | - Peiran Cai
- College of Animal Sciences, Zhejiang University, Hangzhou, People's Republic of China
- Key Laboratory of Molecular Animal Nutrition (Zhejiang University), Ministry of Education, Hangzhou, People's Republic of China
- Key Laboratory of Animal Nutrition and Feed Science (Eastern of China), Ministry of Agriculture and Rural Affairs, Hangzhou, People's Republic of China
- Key Laboratory of Animal Feed and Nutrition of Zhejiang Province, Hangzhou, People's Republic of China
| | - Zeqing Lu
- College of Animal Sciences, Zhejiang University, Hangzhou, People's Republic of China
- Key Laboratory of Molecular Animal Nutrition (Zhejiang University), Ministry of Education, Hangzhou, People's Republic of China
- Key Laboratory of Animal Nutrition and Feed Science (Eastern of China), Ministry of Agriculture and Rural Affairs, Hangzhou, People's Republic of China
- Key Laboratory of Animal Feed and Nutrition of Zhejiang Province, Hangzhou, People's Republic of China
| | - Yizhen Wang
- College of Animal Sciences, Zhejiang University, Hangzhou, People's Republic of China
- Key Laboratory of Molecular Animal Nutrition (Zhejiang University), Ministry of Education, Hangzhou, People's Republic of China
- Key Laboratory of Animal Nutrition and Feed Science (Eastern of China), Ministry of Agriculture and Rural Affairs, Hangzhou, People's Republic of China
- Key Laboratory of Animal Feed and Nutrition of Zhejiang Province, Hangzhou, People's Republic of China
| | - Tizhong Shan
- College of Animal Sciences, Zhejiang University, Hangzhou, People's Republic of China
- Key Laboratory of Molecular Animal Nutrition (Zhejiang University), Ministry of Education, Hangzhou, People's Republic of China
- Key Laboratory of Animal Nutrition and Feed Science (Eastern of China), Ministry of Agriculture and Rural Affairs, Hangzhou, People's Republic of China
- Key Laboratory of Animal Feed and Nutrition of Zhejiang Province, Hangzhou, People's Republic of China
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Xue H, Qin R, Xi Q, Xiao S, Chen Y, Liu Y, Xu B, Han X, Lv H, Hu H, Hu L, Jiang T, Jiang Y, Ding Y, Du J, Ma H, Lin Y, Hu Z. Maternal Dietary Cholesterol and Egg Intake during Pregnancy and Large-for-Gestational-Age Infants: A Prospective Cohort Study. J Nutr 2024:S0022-3166(24)00180-9. [PMID: 38599384 DOI: 10.1016/j.tjnut.2024.04.011] [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: 12/27/2023] [Revised: 03/25/2024] [Accepted: 04/05/2024] [Indexed: 04/12/2024] Open
Abstract
BACKGROUND Cholesterol plays a vital role in fetal growth and development during pregnancy. There remains controversy over whether pregnant females should limit their cholesterol intake. OBJECTIVES The objective of this study was to investigate the association between maternal dietary cholesterol intake during pregnancy and infant birth weight in a Chinese prospective cohort study. METHODS A total of 4146 mother-child pairs were included based on the Jiangsu Birth Cohort study. Maternal dietary information was assessed with a semiquantitative food-frequency questionnaire. Birth weight z-scores and large-for-gestational-age (LGA) infants were converted by the INTERGROWTH-21st neonatal weight-for-gestational-age standard. Poisson regression and generalized estimating equations were employed to examine the relationships between LGA and maternal dietary cholesterol across the entire pregnancy and trimester-specific cholesterol intake, respectively. RESULTS The median intake of maternal total dietary cholesterol during the entire pregnancy was 671.06 mg/d, with eggs being the main source. Maternal total dietary cholesterol and egg-sourced cholesterol were associated with an increase in birth weight z-score, with per standard deviation increase in maternal total and egg-sourced dietary cholesterol being associated with an increase of 0.16 [95% confidence interval (CI): 0.07, 0.25] and 0.06 (95% CI: 0.03, 0.09) in birth weight z-score, respectively. Egg-derived cholesterol intake in the first and third trimesters was positively linked to LGA, with an adjusted relative risk of 1.11 (95% CI: 1.04, 1.18) and 1.09 (95% CI: 1.00, 1.18). Compared with mothers consuming ≤7 eggs/wk in the third trimester, the adjusted relative risk for having an LGA newborn was 1.37 (95% CI: 1.09, 1.72) for consuming 8-10 eggs/wk and 1.45 (95% CI: 1.12, 1.86) for consuming >10 eggs/wk (P-trend = 0.015). CONCLUSIONS Maternal total dietary cholesterol intake, as well as consuming over 7 eggs/wk during pregnancy, displayed significant positive relationships with the incidence of LGA, suggesting that mothers should avoid excessive cholesterol intake during pregnancy to prevent adverse birth outcomes.
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Affiliation(s)
- Huixin Xue
- State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, Jiangsu, China; Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Rui Qin
- State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, Jiangsu, China; Department of Scientific Research and Education, Changzhou Medical Center, Changzhou Maternity and Child Health Care Hospital, Nanjing Medical University, Changzhou, Jiangsu, China
| | - Qi Xi
- Department of Obstetrics, Gusu School, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Nanjing Medical University, Suzhou, Jiangsu, China
| | - Shuxin Xiao
- State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, Jiangsu, China; Department of Maternal, Child, and Adolescent Health, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Yiyuan Chen
- State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, Jiangsu, China; Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Yuxin Liu
- State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, Jiangsu, China; Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Bo Xu
- State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, Jiangsu, China; Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Xiumei Han
- State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, Jiangsu, China; Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Hong Lv
- State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, Jiangsu, China; Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China; State Key Laboratory of Reproductive Medicine and Offspring Health (Suzhou Centre), Gusu School, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Nanjing Medical University, Suzhou, Jiangsu, China
| | - Haiting Hu
- Department of Scientific Research and Education, Changzhou Medical Center, Changzhou Maternity and Child Health Care Hospital, Nanjing Medical University, Changzhou, Jiangsu, China
| | - Lingmin Hu
- Department of Reproduction, Changzhou Medical Center, Changzhou Maternity and Child Health Care Hospital, Nanjing Medical University, Changzhou, Jiangsu, China
| | - Tao Jiang
- State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, Jiangsu, China; Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Yangqian Jiang
- State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, Jiangsu, China; Department of Maternal, Child, and Adolescent Health, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Ye Ding
- Department of Maternal, Child, and Adolescent Health, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Jiangbo Du
- State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, Jiangsu, China; Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China; State Key Laboratory of Reproductive Medicine and Offspring Health (Suzhou Centre), Gusu School, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Nanjing Medical University, Suzhou, Jiangsu, China
| | - Hongxia Ma
- State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, Jiangsu, China; Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China; State Key Laboratory of Reproductive Medicine and Offspring Health (Suzhou Centre), Gusu School, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Nanjing Medical University, Suzhou, Jiangsu, China
| | - Yuan Lin
- State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, Jiangsu, China; Department of Maternal, Child, and Adolescent Health, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China; State Key Laboratory of Reproductive Medicine and Offspring Health (Suzhou Centre), Gusu School, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Nanjing Medical University, Suzhou, Jiangsu, China.
| | - Zhibin Hu
- State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, Jiangsu, China; Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China; State Key Laboratory of Reproductive Medicine and Offspring Health (Suzhou Centre), Gusu School, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Nanjing Medical University, Suzhou, Jiangsu, China.
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Talebi S, Zeraattalab-Motlagh S, Rahimlou M, Sadeghi E, Rashedi MH, Ghoreishy SM, Mohammadi H. Dietary fat intake with risk of gestational diabetes mellitus and preeclampsia: a systematic review and meta-analysis of prospective cohort studies. Nutr Rev 2024:nuae033. [PMID: 38568994 DOI: 10.1093/nutrit/nuae033] [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] [Indexed: 04/05/2024] Open
Abstract
CONTEXT Gestational diabetes mellitus (GDM) and preeclampsia (PE) are commonly observed medical complications in pregnancy. Dietary total fat and fatty acids associated with GDM and PE risk have been examined in several epidemiological studies. In some instances, systematic reviews and meta-analyses might provide more accurate dietary recommendations. OBJECTIVES This systematic review and dose-response meta-analysis was conducted to investigate the association between dietary total fat and fatty acids and the risk of GDM and PE. DATA SOURCES Research on dietary fat intake and the risk of GDM and PE was conducted through systematic searches of the PubMed, Scopus, and Web of Science databases for articles published up to August 19, 2023. An investigation of associations between dietary intake of total fat and fatty acids and the risk of GDM and PE was performed using prospective cohort study designs. RESULTS Twenty-one prospective cohort studies were considered eligible. Findings indicated that higher intakes of total fat (relative risk [RR], 1.08; 95% confidence interval [CI], 1.02-1.14), animal fat (RR, 1.56; 95%CI, 1.34-1.89), vegetable fat (RR, 1.23; 95%CI, 1.05-1.45), dietary cholesterol (RR, 1.48; 95%CI, 1.10-2.00), and omega-3 fatty acid (RR, 1.11; 95%CI, 1.02-1.20) are associated with a greater risk of GDM. However, no significant association was found between dietary total fat and fatty acids and the risk of PE. Dose-response meta-analyses suggested every 10% increment in total energy intake from total fat, 5% from animal fat, 5% from vegetable fat, and 100 mg from cholesterol was related to 15%, 12%, 7%, 14%, and 20% higher GDM risk, respectively. CONCLUSIONS Overall, total fat, animal fat, vegetable fat, dietary cholesterol, and omega-3 fatty acid consumption are associated with a small but statistically significant increase in GDM risk. PROTOCOL REGISTRATION PROSPERO (CRD42023466844).
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Affiliation(s)
- Sepide Talebi
- Students' Scientific Research Center, Tehran University of Medical Sciences, Tehran, Iran
- Department of Clinical Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
| | | | - Mehran Rahimlou
- Department of Nutrition, School of Public Health, Zanjan University of Medical Sciences, Zanjan, Iran
| | - Erfan Sadeghi
- Department of Biostatistics, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Minoo Hasan Rashedi
- Department of Nutrition, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
| | - Seyed Mojtaba Ghoreishy
- Department of Nutrition, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
- Student Research Committee, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
| | - Hamed Mohammadi
- Department of Clinical Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
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Yakubova II, Dosenko V, Ostrianko V, Tsypan S, Bielova L, Viun G. Influence of maternal cholesterol-enriched diet on chemical composition of teeth enamel in offspring of mice. WIADOMOSCI LEKARSKIE (WARSAW, POLAND : 1960) 2024; 77:299-304. [PMID: 38592993 DOI: 10.36740/wlek202402117] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/11/2024]
Abstract
OBJECTIVE Aim: To determine the chemical composition of the tooth enamel of two-day-old mice from hypercholesterolemic mothers by energy dispersive X-ray spectroscopy. PATIENTS AND METHODS Materials and Methods: Forty mature female mice were randomly assigned (n = 20/group) to either a standard chow vivarium diet (control group) or a cholesterol-enriched chow diet (experimental group). After fertilization, pregnancy and birth, on postnatal day 2, the incisor segments of 6 pups form each group were used for energy dispersive X-ray spectroscopy. RESULTS Results: Influence of maternal hypercholesterolemic diet on tooth development and mineralization was examined, which revealed changes in enamel chemical composition. First, the results indicate the presence of seven elements (Na, Cl, Ca, P, Mg, S, Fe) in the enamel of both the hypercholesterolemic and normal offspring, but the content of element Ca2+ decreased, the content of elements P5+, Na+, Cl- tended to increase in pups from hypercholesterolemic mice. Second, the initial level of mineralization according to the atomic (%) Ca / P in hypercholesterolemic pups ratio was 1.26, comparing with normal pups where level of mineralization was 1.34. Taking into account that irreversible changes in the structure of the enamel were observed when the Ca / P ratio was below 1.33, we can suggest that the eruption of teeth with an imperfect structure could be because of maternal hypercholesterolemic diet. CONCLUSION Conclusions: Results of this study suggest that hypercholesterolemic diet during gestation and lactation leads to altered enamel mineralization in mice because of changes in chemical composition and may link to the early childhood caries.
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Affiliation(s)
- Inessa I Yakubova
- PRIVATE HIGHER EDUCATIONAL ESTABLISHMENT ≪KYIV MEDICAL UNIVERSITY≫, KYIV, UKRAINE
| | - Victor Dosenko
- THE BOGOMOLETS INSTITUTE OF PHYSIOLOGY NAS OF UKRAINE, KYIV, UKRAINE
| | | | - Serhii Tsypan
- PRIVATE HIGHER EDUCATIONAL ESTABLISHMENT ≪KYIV MEDICAL UNIVERSITY≫, KYIV, UKRAINE
| | - Liliia Bielova
- PRIVATE HIGHER EDUCATIONAL ESTABLISHMENT ≪KYIV MEDICAL UNIVERSITY≫, KYIV, UKRAINE
| | - Ganna Viun
- PRIVATE HIGHER EDUCATIONAL ESTABLISHMENT ≪KYIV MEDICAL UNIVERSITY≫, KYIV, UKRAINE
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Cui N, Li Y, Huang S, Ge Y, Guo S, Tan L, Hao L, Lei G, Shang X, Xiong G, Yang X. Cholesterol-rich dietary pattern during early pregnancy and genetic variations of cholesterol metabolism genes in predicting gestational diabetes mellitus: a nested case-control study. Am J Clin Nutr 2023; 118:966-976. [PMID: 37923501 DOI: 10.1016/j.ajcnut.2023.08.017] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Revised: 08/17/2023] [Accepted: 08/24/2023] [Indexed: 11/07/2023] Open
Abstract
BACKGROUND Higher dietary cholesterol intake during pregnancy increases risk of gestational diabetes mellitus (GDM). However, no studies have investigated interindividual variability in cholesterol metabolism and the association of genetics and diet on GDM. OBJECTIVE ; To prospectively evaluate the joint association of cholesterol-rich dietary patterns and polymorphisms of genes coding for cholesterol metabolism pathway proteins with GDM. METHODS A total of 1116 pregnant females from the Tongji Birth Cohort were enrolled. GDM was diagnosed according to a 75-g 2-h oral glucose tolerance test at 24-28 wk of gestation. Dietary data were collected by a validated food frequency questionnaire. The reduced-rank regression method was used to identify dietary patterns using dietary cholesterol as the response variable. Time-of-flight mass spectrometry was used for genotyping. The genetic risk score (GRS) for GDM was constructed with genetic variants in 28 cholesterol metabolism-related single-nucleotide polymorphisms (SNPs). Conditional logistic regression models were used to assess the odds ratio (OR) for GDM. RESULTS The cholesterol-rich dietary pattern was rich in livestock and poultry meat and eggs but lower in cereals. The multivariable-adjusted ORs for GDM were 1.24 (95% confidence interval: 1.06-1.44) per SD increment of cholesterol-rich pattern scores and 1.28 (1.09-1.49) per tertile GRS. The variants of the CYP7A1 rs3808607 G→T/rs8192871 G→A/rs7833904 A→T, as well as AGGG and TTGA haplotypes of 4 CYP7A1-spanning SNPs, were significantly associated with GDM. For the joint effect, the OR was 3.53 (1.71-7.31) in the highest categories of both dietary pattern scores and GRS compared with individuals with the lowest strata without significant interaction (P for interaction = 0.101). CONCLUSIONS Both a cholesterol-rich dietary pattern and genetic variants of cholesterol metabolism genes are associated with risk of GDM. Adherence to a cholesterol-rich dietary pattern during early pregnancy promotes the chance of GDM, especially in women with higher GRS. CLINICAL TRIAL REGISTRY This trial was registered at http://www.chictr.org.cn (Registration number: ChiCTR1800016908). URL: =https://www.chictr.org.cn/showprojEN.html?proj=28081.
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Affiliation(s)
- Ningning Cui
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, P.R. China
| | - Yan Li
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, P.R. China; Shenzhen Center for Chronic Disease Control, Shenzhen, P.R. China
| | - Shanshan Huang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, P.R. China
| | - Yanyan Ge
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, P.R. China
| | - Shu Guo
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, P.R. China
| | - Le Tan
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, P.R. China
| | - Liping Hao
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, P.R. China
| | - Gang Lei
- The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, P.R. China
| | - Xuejun Shang
- Department of Andrology, Jinling Hospital, School of Medicine, Nanjing University/Nanjing School of Clinical Medicine, Southern Medical University, Nanjing, Jiangsu, P.R. China
| | - Guoping Xiong
- The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, P.R. China
| | - Xuefeng Yang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, P.R. China.
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8
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Pan W, Karatela S, Lu Q, Xie L, Wu S, Jing J, Cai L. Association of diet quality during pregnancy with maternal glucose metabolism in Chinese women. Br J Nutr 2023; 130:958-965. [PMID: 36744324 DOI: 10.1017/s0007114523000107] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Overall diet quality during pregnancy has played an important role on maternal glucose metabolism. However, evidence based on the adherence to the dietary guideline is limited, especially for Asian populations. We aimed to examine the association between adherence to the Chinese dietary guideline measured by the Diet Balance Index for Pregnancy (DBI-P) and maternal glucose metabolism, including gestational diabetes mellitus (GDM) status, fasting and 2-h plasma glucose. Data were obtained from the baseline survey of the Yuexiu birth cohort. We recruited 942 pregnant women at 20-28 weeks of gestation in 2017-2018. Dietary intakes during the past month were collected using a validated semi-quantitative FFQ. The scores of DBI-P were calculated to assess dietary quality. Lower absolute values of the scores indicate higher adherence to the Chinese dietary guidelines. All participants underwent a 75 g of oral glucose tolerance test (OGTT). Multiple linear regression and logistic regression were conducted. The Benjamini-Hochberg method was used to adjust multiple comparisons across DBI-P food components. The value of high bound score indicator, reflecting excessive total food intake, was positively associated with OGTT-2h glucose levels (β = 0·037, P = 0·029). After adjustment for multiple comparisons, the score of animal food intake was positively associated with OGTT-2 h glucose levels (β = 0·045, P = 0·045) and risk of GDM (OR = 1·105, P = 0·030). In conclusion, excessive total food intake was associated with higher postprandial glucose in pregnant women. Lower compliance with the dietary guideline for animal food was associated with both higher postprandial glucose and increased risk of GDM during pregnancy.
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Affiliation(s)
- Wenting Pan
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou510080, People's Republic of China
- Office of Hospital Quality and Safety Management, The Second Affiliated Hospital of Guangxi Medical University, Nanning, 530000, People's Republic of China
| | - Shamshad Karatela
- Faculty of Health and Behavioural Sciences, Pharmacy Australia Centre of Excellence, University of Queensland, Woolloongabba, QLD, Australia
| | - Qinggui Lu
- Department of Health Care, Maternal and Child Health Care Hospital of Yuexiu District, Guangzhou510080, People's Republic of China
| | - Luqin Xie
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou510080, People's Republic of China
| | - Shengchi Wu
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou510080, People's Republic of China
| | - Jin Jing
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou510080, People's Republic of China
| | - Li Cai
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou510080, People's Republic of China
- Guangdong Key Laboratory of Nutrition, Diet and Health, Guangzhou510080, People's Republic of China
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9
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Li Y, Wu Y, Ge Y, Huang S, Yang Y, Zhang Z, Cui N, Yan J, Li Y, Luo P, Hao L, Xiong G, Yang X. Pregnancy Cholesterol Metabolism Markers and the Risk of Gestational Diabetes Mellitus: A Nested Case-Control Study. Nutrients 2023; 15:3809. [PMID: 37686841 PMCID: PMC10490088 DOI: 10.3390/nu15173809] [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: 07/11/2023] [Revised: 08/23/2023] [Accepted: 08/29/2023] [Indexed: 09/10/2023] Open
Abstract
This study aims to determine the association of pregnancy cholesterol metabolism markers with gestational diabetes mellitus (GDM) risk. We performed a nested case-control study in the Tongji Birth Cohort. GDM was diagnosed according to the 75 g 2 h oral glucose tolerance test (OGTT) at 24-28 gestational weeks. Nine cholesterol metabolism markers were detected using gas chromatography-mass spectrometry. Conditional logistic regression models were conducted. A total of 444 pregnant women were matched in a 1:2 ratio. The cholestanolTC and β-sitosterolTC in cholesterol absorption markers presented negative associations with the risks of GDM (adjusted OR: 0.77, 95% CI: 0.61-0.96; adjusted OR: 0.80, 95% CI: 0.64-1.00). The desmosterolTC in cholesterol synthesis markers were positively associated with the risks of GDM (adjusted OR: 1.25, 95% CI: 1.00-1.56), similar in the ratios of cholesterol synthesis to absorption markers. After adjustment for insulin or HOMA-IR, these effects were reduced. In conclusion, higher cholesterol synthesis and lower cholesterol absorption marker levels in the first pregnancy are associated with a higher risk of GDM, and insulin resistance may play a vital role in this association.
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Affiliation(s)
- Yan Li
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan 430030, China
- Shenzhen Center for Chronic Disease Control, Shenzhen 518020, China
| | - Yuanjue Wu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan 430030, China
- School of Public Health, Guangzhou Medical University, Guangzhou 511436, China
| | - Yanyan Ge
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan 430030, China
| | - Shanshan Huang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan 430030, China
| | - Yang Yang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan 430030, China
| | - Zhen Zhang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan 430030, China
| | - Ningning Cui
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan 430030, China
| | - Junan Yan
- Shenzhen Center for Chronic Disease Control, Shenzhen 518020, China
| | - Yonggang Li
- Hubei Provincial Key Laboratory for Applied Toxicology, Hubei Provincial Center for Disease Control and Prevention, Wuhan 430079, China
| | - Ping Luo
- Hubei Provincial Key Laboratory for Applied Toxicology, Hubei Provincial Center for Disease Control and Prevention, Wuhan 430079, China
| | - Liping Hao
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan 430030, China
| | - Guoping Xiong
- Department of Obstetrics and Gynecology, The Central Hospital of Wuhan, Wuhan 430014, China
| | - Xuefeng Yang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan 430030, China
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10
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Chen X, Lin L, Huang L, Wu M, Tan T, Li Q, Zhong C, Wang H, Wang W, Sun G, Yi N, Yang X, Hao L, Yang H, Yang N. Association of maternal low-carbohydrate-diet score during pregnancy with allergic diseases at 2 years of age. Pediatr Allergy Immunol 2022; 33:e13842. [PMID: 36156822 DOI: 10.1111/pai.13842] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Revised: 07/22/2022] [Accepted: 08/12/2022] [Indexed: 11/30/2022]
Abstract
BACKGROUND We prospectively evaluated the association between low-carbohydrate-diet (LCD) score during pregnancy and the risk of allergic diseases in infants up to 2 years. METHODS Participants were from a prospective mother-offspring cohort study in Wuhan, China. LCD score was calculated according to the percentage of dietary energy intake from carbohydrate, protein, and fat assessed in late pregnancy using validated food frequency questionnaires. Allergic diseases, including immunoglobulin E (IgE)-mediated allergic diseases, allergic contact dermatitis, and food allergy, were recorded at 3, 6, 12, and 24 months postpartum follow-up. Poisson regression models were used to calculate relative risks (RRs) and 95% confidence intervals (CIs). RESULTS Among 1636 mother-infant pairs included in the present analysis, 230 infants (14.1%) with IgE-mediated allergic diseases, 77 (4.7%) with allergic contact dermatitis, and 488 (29.8%) with food allergy were, respectively, reported. Independent of total energy intake and other potential confounders, both the lowest quintile (RR, 1.77; 95% CI, 1.13-2.77) and the highest quintile (RR, 1.72; 95% CI, 1.22-2.63), were associated with the risk of IgE-mediated allergic diseases compared with the middle quintile. Among high-carbohydrate-diet pregnant women, substituting 5% of energy from either protein or fat for carbohydrate was associated with a lower risk of IgE-mediated allergic diseases. While among low-carbohydrate-diet pregnant women, substituting 5% of energy from carbohydrate, especially high-quality carbohydrate, for fat was associated with a lower risk of IgE-mediated allergic diseases. CONCLUSION Maternal low carbohydrate-high protein and fat, and high carbohydrate-low protein and fat diet were both associated with an increased risk of allergic diseases in the infants up to 2 years. This study may provide an intervention strategy for allergy prevention in early childhood.
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Affiliation(s)
- Xi 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, China.,Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Lixia Lin
- 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, China.,Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Li Huang
- 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, China.,Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Meng 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, China.,Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Tianqi Tan
- 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, China.,Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 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, China.,Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 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, China.,Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Huanzhuo Wang
- 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, China.,Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Weiming Wang
- 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, China.,Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Guoqiang Sun
- Maternal and Child Health Hospital of Hubei Province, Wuhan, China
| | - Nianhua Yi
- Maternal and Child Health Hospital of Hubei Province, Wuhan, 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, China.,Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 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, China.,Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Hongying Yang
- Institute of Health Education, Hubei Provincial Center for Disease Control and Prevention, Wuhan, 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, China.,Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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11
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Liu Y, Xia YY, Zhang T, Yang Y, Cannon RD, Mansell T, Novakovic B, Saffery R, Han TL, Zhang H, Baker PN. Complex Interactions Between Circulating Fatty Acid Levels, Desaturase Activities, and the Risk of Gestational Diabetes Mellitus: A Prospective Cohort Study. Front Nutr 2022; 9:919357. [PMID: 35898714 PMCID: PMC9313599 DOI: 10.3389/fnut.2022.919357] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Accepted: 06/13/2022] [Indexed: 11/13/2022] Open
Abstract
ObjectiveMaternal abnormal fatty acid desaturation has previously been linked to gestational diabetes mellitus (GDM). However, few studies have investigated this relationship longitudinally throughout pregnancy. In this study, we investigated the relationship between GDM and desaturase activities across the pregnancy trimesters.MethodsA total of 661 women (GDM = 189, non-GDM = 472) were selected from the Complex Lipids in Mothers and Babies (CLIMB) cohort study. Clinical information and maternal serum were collected at 11–14, 22–28, and 32–34 weeks of gestation. Totally, 20 serum fatty acids were quantified using gas chromatography–mass spectrometry (GC-MS) analysis at each timepoint. Polyunsaturated fatty acid (PUFA) product-to-precursor ratios were used to estimate desaturase and elongase activities including delta-5 desaturase, delta-6 desaturase, stearoyl-CoA desaturase, and elongase.ResultsAfter adjusting for major potential confounders including maternal age, BMI, primiparity, smoking, and alcohol consumption, we observed a significant increase in the levels of γ-linolenic acid (GLA) and eicosatrienoic acid (DGLA) in the first trimester of women with GDM, whereas GLA and DGLA were reduced in the third trimester, when compared to the non-GDM group. Arachidonic acid (AA) showed an upward trend in the GDM group throughout pregnancy. Estimated delta-6 desaturase and delta-5 desaturase activity were elevated in the first trimester (OR = 1.40, 95% CI 1.03–1.91; OR = 0.56, 95% CI 0.32–0.96) but attenuated in the third trimester (OR = 0.78, 95% CI 0.58–1.07; OR = 2.64, 95% CI 1.46–4.78) in GDM pregnancies, respective to controls. Estimated delta-9–18 desaturase activity (OR = 3.70, 95% CI 1.49–9.19) was increased in women with GDM in later pregnancy.ConclusionsOur study highlights the potential importance of fatty acid desaturase activities, particularly estimated delta-5 desaturase and delta-9–18 desaturase in the pathophysiology of GDM. These findings may have applications for the early diagnosis and management of GDM.
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Affiliation(s)
- Yue Liu
- Department of Obstetrics and Gynaecology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
- Department of Occupational and Environmental Hygiene, School of Public Health and Management, Research Center for Medicine and Social Development, Innovation Center for Social Risk Governance in Health, Chongqing Medical University, Chongqing, China
- Mass Spectrometry Center of Maternal Fetal Medicine, Institute of Life Sciences, Chongqing Medical University, Chongqing, China
| | - Yin-Yin Xia
- Department of Occupational and Environmental Hygiene, School of Public Health and Management, Research Center for Medicine and Social Development, Innovation Center for Social Risk Governance in Health, Chongqing Medical University, Chongqing, China
- Mass Spectrometry Center of Maternal Fetal Medicine, Institute of Life Sciences, Chongqing Medical University, Chongqing, China
| | - Ting Zhang
- Chongqing Key Laboratory of Oral Diseases and Biomedical Sciences, Chongqing Municipal Key Laboratory of Oral Biomedical Engineering of Higher Education, Stomatological Hospital of Chongqing Medical University, Chongqing, China
| | - Yang Yang
- Department of Obstetrics and Gynaecology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
- Mass Spectrometry Center of Maternal Fetal Medicine, Institute of Life Sciences, Chongqing Medical University, Chongqing, China
| | - Richard D. Cannon
- Department of Oral Sciences, Sir John Walsh Research Institute, Faculty of Dentistry, University of Otago, Dunedin, New Zealand
| | - Toby Mansell
- Molecular Immunity, Murdoch Childrens Research Institute, Melbourne, VIC, Australia
- Department of Paediatrics, University of Melbourne, Melbourne, VIC, Australia
| | - Boris Novakovic
- Molecular Immunity, Murdoch Childrens Research Institute, Melbourne, VIC, Australia
- Department of Paediatrics, University of Melbourne, Melbourne, VIC, Australia
| | - Richard Saffery
- Molecular Immunity, Murdoch Childrens Research Institute, Melbourne, VIC, Australia
- Department of Paediatrics, University of Melbourne, Melbourne, VIC, Australia
| | - Ting-Li Han
- Mass Spectrometry Center of Maternal Fetal Medicine, Institute of Life Sciences, Chongqing Medical University, Chongqing, China
- Department of Obstetrics and Gynaecology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
- Institute of Life Sciences, Chongqing Medical University, Chongqing, China
- Ting-Li Han
| | - Hua Zhang
- Department of Obstetrics and Gynaecology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
- Mass Spectrometry Center of Maternal Fetal Medicine, Institute of Life Sciences, Chongqing Medical University, Chongqing, China
- *Correspondence: Hua Zhang
| | - Philip N. Baker
- College of Medicine, Biological Sciences and Psychology, University of Leicester, Leicester, United Kingdom
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12
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Zhang Y, Lan X, Li F, Sun H, Zhang J, Li R, Gao Y, Dong H, Cai C, Zeng G. Dietary cholesterol and egg intake are associated with the risk of gestational diabetes: a prospective study from Southwest China. BMC Pregnancy Childbirth 2022; 22:45. [PMID: 35038995 PMCID: PMC8764826 DOI: 10.1186/s12884-022-04382-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2021] [Accepted: 01/05/2022] [Indexed: 12/24/2022] Open
Abstract
Background An increasing body of evidence suggests that cholesterol intake increases during pregnancy and may influence the risk of gestational diabetes mellitus (GDM). However, existing evidence remains controversial and limited. The present study aimed to determine the relation among dietary cholesterol, specifically egg consumption, in pregnant Chinese women and their risk of GDM. Methods A population-based study that included 1617 pregnant women was conducted in 2017. At baseline, dietary information was collected by 24-hour dietary recalls over three days. GDM was diagnosed by a 75 g 2-hr oral glucose tolerance test (OGTT) at 24-28 weeks of gestation. Logistic regression models were used to examine the associations of dietary cholesterol and egg intake with GDM. In addition, path analysis including cholesterol intake, plasma lipid profiles and GDM risk was conducted. Results The average total cholesterol intake was 340.8 mg/d, and cholesterol from eggs accounted for 59.2%. The odds ratio (OR) of GDM risk was 1.48 for the highest quartile of total cholesterol intake compared to the lowest quartile (95% CI 1.10-2.00; Ptrend = 0.015) after adjustment for potential risk factors for GDM. Moreover, cholesterol from eggs rather than from other foods was positively associated with incident GDM (OR=1.09, 95% CI 1.03-1.17). Each additional egg consumed per day was positively correlated with a higher risk of GDM (OR=1.32, 95% CI 1.11-1.58). Path analysis indicated that cholesterol intake not only increased the risk of GDM by elevating plasma total cholesterol (TC), but also increased the risk of GDM through other non hyperlipidemia pathways. Conclusions Maternal dietary cholesterol intake was significantly associated with incident GDM, and egg consumption was a major driver of the association in this population. More studies are needed to substantiate these findings and to explore the underlying mechanisms. Supplementary Information The online version contains supplementary material available at 10.1186/s12884-022-04382-y.
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Affiliation(s)
- 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, 610041, Sichuan, 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, 610041, Sichuan, 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, 610041, Sichuan, China
| | - 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, 610041, Sichuan, China
| | - Ju Zhang
- Department of Clinical Nutrition, Sichuan Provincial Hospital for Women and Children, Chengdu, 610000, Sichuan, China
| | - Run Li
- Department of Clinical Nutrition, Sichuan Provincial Hospital for Women and Children, Chengdu, 610000, Sichuan, China
| | - Yan Gao
- Department of Obstetrics, Sichuan Provincial Hospital for Women and Children, Chengdu, 610000, Sichuan, 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, 610041, Sichuan, 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, 610041, Sichuan, 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, 610041, Sichuan, China.
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Garnæs KK, Elvebakk T, Salvesen Ø, Stafne SN, Mørkved S, Salvesen KÅ, Moholdt T. Dietary Intake in Early Pregnancy and Glycemia in Late Pregnancy among Women with Obesity. Nutrients 2021; 14:nu14010105. [PMID: 35010978 PMCID: PMC8746487 DOI: 10.3390/nu14010105] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2021] [Revised: 12/21/2021] [Accepted: 12/22/2021] [Indexed: 12/01/2022] Open
Abstract
Women with obesity have increased risk for hyperglycemia during pregnancy, with negative health consequences for mother and child. We aimed to investigate adherence to nutritional recommendations in early pregnancy and to examine associations between early pregnancy dietary intake and late pregnancy glycemia among women with obesity. We included 120 women with pre-pregnancy body mass index (BMI) ≥30 kg/m2 who participated in one of two randomized controlled trials. The participants completed a food frequency questionnaire in early pregnancy (gestational weeks 12–22). Fasting and 120 min glucose tolerance after ingestion of 75 g glucose were assessed in late pregnancy (gestational weeks 32–37). About 90% of the participants reported early pregnancy diary intake within the recommendations. Average intakes of vitamin D, iron, and folate were below recommended levels. High intakes of dairy products and protein in early pregnancy were associated with lower fasting glucose in late pregnancy, whereas high intake of bread was associated with lower 120 min glucose. There were no clear associations between single dietary variables and gestational diabetes mellitus (GDM) diagnosis in late pregnancy. In conclusion, some early pregnancy dietary variables were associated with late pregnancy glycemia. Potential causality of these findings should be investigated in future studies.
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Affiliation(s)
- Kirsti Krohn Garnæs
- Department of Obstetrics and Gynaecology, St. Olavs Hospital, Trondheim University Hospital, 7006 Trondheim, Norway; (K.K.G.); (K.Å.S.)
- Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, NTNU, 7089 Trondheim, Norway; (S.N.S.); (S.M.)
| | - Trude Elvebakk
- Children’s Clinic, St. Olavs Hospital, Trondheim University Hospital, 7006 Trondheim, Norway;
| | - Øyvind Salvesen
- Faculty of Medicine and Health Sciences, Faculty Administration, Norwegian University of Science and Technology, NTNU, 7089 Trondheim, Norway;
| | - Signe Nilssen Stafne
- Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, NTNU, 7089 Trondheim, Norway; (S.N.S.); (S.M.)
- Department of Clinical Service, St. Olavs Hospital, Trondheim University Hospital, 7006 Trondheim, Norway
| | - Siv Mørkved
- Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, NTNU, 7089 Trondheim, Norway; (S.N.S.); (S.M.)
- Department of Clinical Service, St. Olavs Hospital, Trondheim University Hospital, 7006 Trondheim, Norway
| | - Kjell Åsmund Salvesen
- Department of Obstetrics and Gynaecology, St. Olavs Hospital, Trondheim University Hospital, 7006 Trondheim, Norway; (K.K.G.); (K.Å.S.)
- Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, NTNU, 7089 Trondheim, Norway
| | - Trine Moholdt
- Department of Obstetrics and Gynaecology, St. Olavs Hospital, Trondheim University Hospital, 7006 Trondheim, Norway; (K.K.G.); (K.Å.S.)
- Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, NTNU, 7089 Trondheim, Norway
- Correspondence: ; Tel.: +47-97098594
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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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Zhu HL, Liu Y, Zhang J, Wang MX, Jiang H, Guo F, Li M, Qi FF, Liu XH, Ma L. Dietary calcium, magnesium, and phosphorus intakes and risk of stroke in Chinese adults. Sci Rep 2021; 11:11270. [PMID: 34050206 PMCID: PMC8163833 DOI: 10.1038/s41598-021-90388-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2020] [Accepted: 05/04/2021] [Indexed: 02/04/2023] Open
Abstract
Controversial results have been reported about the association of calcium, magnesium, and phosphorus and stroke risk, but none in China. To investigate the association between dietary calcium, magnesium, phosphorus, and stroke incidence in Chinese adults, we collected data from the China Health and Nutrition Survey (CHNS) from 2004 to 2011, including 6411 participants aged 45-79 years and free of stroke at baseline. Diet was assessed by interviews combining 3-d 24-h food recalls and household food inventory weighing at each survey round. The stroke incident was identified based on the validated self-report. Multivariate Cox regression models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs). For 32,024 person-years of follow-up, 179 stroke cases were documented. After adjustment for major lifestyle and dietary risk factors, calcium intake was positively associated with reduced stroke risk, and the HR of stroke comparing extreme quartiles was 0.53 (95% CI 0.29-0.96, Ptrend = 0.03). In further stratified analyses, significant heterogeneity across sex strata was found (Pinteraction = 0.03). Dietary calcium intake among men was more inversely related to stroke, with HRs being 0.33 (95% CI 0.15-0.76, P trend = 0.02), compared to 1.24 (95% CI 0.46-3.35, Ptrend = 0.89) among women. However, no significant association between stroke and magnesium or phosphorus was revealed. Our findings suggest that higher dietary calcium intake was associated with a lower risk of stroke in Chinese adults, particularly in men.
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Affiliation(s)
- Hai-Lu Zhu
- grid.43169.390000 0001 0599 1243The First Affiliated Hospital, Xi’an Jiaotong University Health Science Center, Xi’an 710061, People’s Republic of China ,grid.43169.390000 0001 0599 1243Key Laboratory of Shaanxi Province for Craniofacial Precision Medicine Research, College of Stomatology, Xi’an Jiaotong University, Xi’an, China ,grid.43169.390000 0001 0599 1243School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an 710061, People’s Republic of China
| | - Yan Liu
- grid.43169.390000 0001 0599 1243The First Affiliated Hospital, Xi’an Jiaotong University Health Science Center, Xi’an 710061, People’s Republic of China ,grid.43169.390000 0001 0599 1243Key Laboratory of Shaanxi Province for Craniofacial Precision Medicine Research, College of Stomatology, Xi’an Jiaotong University, Xi’an, China
| | - Jian Zhang
- grid.43169.390000 0001 0599 1243School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an 710061, People’s Republic of China
| | - Ming-Xu Wang
- grid.43169.390000 0001 0599 1243School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an 710061, People’s Republic of China
| | - Hong Jiang
- grid.43169.390000 0001 0599 1243School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an 710061, People’s Republic of China
| | - Fang Guo
- grid.43169.390000 0001 0599 1243School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an 710061, People’s Republic of China ,grid.194645.b0000000121742757School of Public Health, University of Hong Kong, Hong Kong Special Administrative Region 999077, Pok Fu Lam, People’s Republic of China
| | - Ming Li
- grid.1026.50000 0000 8994 5086Center for Population Health Research, Division of Health Sciences, University of South Australia, Adelaide, South Australia 5000 Australia
| | - Fei-Fei Qi
- grid.43169.390000 0001 0599 1243School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an 710061, People’s Republic of China
| | - Xiao-Hong Liu
- grid.43169.390000 0001 0599 1243The First Affiliated Hospital, Xi’an Jiaotong University Health Science Center, Xi’an 710061, People’s Republic of China
| | - Le Ma
- grid.43169.390000 0001 0599 1243School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an 710061, People’s Republic of China
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Qiao T, Chen Y, Duan R, Chen M, Xue H, Tian G, Liang Y, Zhang J, He F, Yang D, Gong Y, Zhou R, Cheng G. Beyond protein intake: does dietary fat intake in the year preceding pregnancy and during pregnancy have an impact on gestational diabetes mellitus? Eur J Nutr 2021; 60:3461-3472. [PMID: 33661377 PMCID: PMC8354989 DOI: 10.1007/s00394-021-02525-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2020] [Accepted: 02/19/2021] [Indexed: 01/16/2023]
Abstract
Purpose Studies regarding the association between dietary fat intake and gestational diabetes mellitus (GDM) are limited and provide conflicting findings. Thus, the study aims to examine the association of dietary fat intake in the year preceding pregnancy and during pregnancy with the risk of GDM, taking the relevance of dietary protein intake on GDM into consideration. Methods A prospective study was conducted in 6299 singleton pregnancies, using the data from the Nutrition in Pregnancy and Growth in Southwest China (NPGSC). A validated food frequency questionnaire was used to assess dietary fat intake in the year preceding pregnancy and during the first and second trimesters of pregnancy. Logistic regression analysis was used to assess the prospective associations of dietary fat intake and the type and source of dietary fats in different time windows with GDM risk. Results Higher intake of total fat [OR (95% CI): 2.21 (1.19–4.20), P = 0.02] during 12–22 weeks of gestation was associated with higher GDM risk. However, adjustment for animal protein intake greatly attenuated this association [OR (95% CI): 1.81 (0.93, 3.64), P = 0.11]. Total fat intake neither in the year preceding pregnancy nor during the early pregnancy was associated with GDM risk. Moreover, insignificant associations were observed between intakes of vegetable fat, animal fat, cholesterol, saturated fatty acid, monounsaturated fatty acid and polyunsaturated fatty acid one year before pregnancy and during the first and second trimesters and GDM risk. Conclusion Our study indicated that dietary fat intake one year before pregnancy and across the two pregnancy trimesters preceding the diagnosis of GDM has no relevance on GDM risk among Chinese women, particularly those with normal BMI, low, or normal calorie intake.
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Affiliation(s)
- Tian Qiao
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, People's Republic of China
| | - Yue Chen
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, People's Republic of China
| | - Ruonan Duan
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, People's Republic of China
| | - Mengxue Chen
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, People's Republic of China
| | - Hongmei Xue
- West China School of Public Health and Healthy Food Evaluation Research Center, Sichuan University, Chengdu, People's Republic of China.,College of Public Health, Hebei University, Baoding, People's Republic of China
| | - Guo Tian
- West China School of Public Health and Healthy Food Evaluation Research Center, Sichuan University, Chengdu, People's Republic of China
| | - Yi Liang
- West China School of Public Health and Healthy Food Evaluation Research Center, Sichuan University, Chengdu, People's Republic of China.,Department of Clinical Nutrition, Affiliated Hospital of Guizhou Medical University, Guizhou Medical University, Guiyang, People's Republic of China
| | - Jieyi Zhang
- West China School of Public Health and Healthy Food Evaluation Research Center, Sichuan University, Chengdu, People's Republic of China.,Sichuan Provincial Center for Disease Control and Prevention, No. 6 Middle School Road, Chengdu, People's Republic of China
| | - Fang He
- West China School of Public Health and Healthy Food Evaluation Research Center, Sichuan University, Chengdu, People's Republic of China
| | - Dagang Yang
- Department of Clinical Nutrition, Affiliated Hospital of Guizhou Medical University, Guizhou Medical University, Guiyang, People's Republic of China
| | - Yunhui Gong
- West China Second University Hospital and Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University) of Ministry of Education, Sichuan University, Chengdu, People's Republic of China
| | - Rong Zhou
- West China Second University Hospital and Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University) of Ministry of Education, Sichuan University, Chengdu, People's Republic of China
| | - Guo Cheng
- Laboratory of Molecular Translational Medicine, Center for Translational Medicine, Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, People's Republic of China.
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17
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Zhang T, Jiang WR, Xia YY, Mansell T, Saffery R, Cannon RD, De Seymour J, Zou Z, Xu G, Han TL, Zhang H, Baker PN. Complex patterns of circulating fatty acid levels in gestational diabetes mellitus subclasses across pregnancy. Clin Nutr 2021; 40:4140-4148. [PMID: 33610418 DOI: 10.1016/j.clnu.2021.01.046] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2020] [Revised: 01/03/2021] [Accepted: 01/30/2021] [Indexed: 12/28/2022]
Abstract
BACKGROUND & AIMS To investigate the relationship between maternal serum fatty acid levels and gestational diabetes mellitus (GDM) subtypes across pregnancy. METHODS A total of 680 singleton mothers enrolled in the Complex Lipids in Mothers and Babies (CLIMB) study in Chongqing, China were included. Clinical information and serum samples were collected at gestational weeks (GWs) 11-14, 22-28, and 32-34. 75 g Oral Glucose Tolerance Test (OGTT) was conducted at GW 24-28 and GDM subtypes divided into three groups using International Association of Diabetes and Pregnancy Study Group (IADPSG) guidelines criteria: elevated fasting plasma glucose (FPG group; n = 59); 1-h and/or 2-h post-load glucose (1h/2h-PG group; n = 94); combined group (FPG&1h/2h-PG group; n = 42). Non-GDM pregnancies were included (n = 485) as controls. Twenty fatty acids were quantified in serum using gas chromatography-mass spectrometry (GC-MS) analysis. RESULTS Overall, most serum fatty acid concentrations increased rapidly from the first to second trimester, followed by a plateauing or reduction in the third trimester (p < 0.001). In cross sectional analysis, fatty acid concentrations were significantly higher in the FPG group at GW 11-14 and decreased in the 1h/2h-PG group at GW 32-34, relative to controls. Moreover, higher α-linolenic acid (ALA; the second tertile: adjusted odds ratio [aOR] = 2.53, 95% CI: 1.17 to 5.47; the third tertile: aOR = 2.60, 95% CI: 1.20 to 5.65) and docosahexaenoic acid (DHA; the second tertile: aOR = 2.34, 95% CI: 1.10 to 4.97; the third tertile: aOR = 2.16, 95% CI: 1.00 to 4.63) were significantly associated with a higher risk of GDM in women with elevated fasting plasma glucose at GW 11-14 (first tertile as reference). CONCLUSIONS Our findings highlight the importance of considering GDM subtypes for the individualised management of GDM in pregnancy. ALA and DHA in early pregnancy are associated with a higher risk of FPG-GDM subtype. This has widespread implications when recommending n-3 PUFAs supplementation for women with GDM.
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Affiliation(s)
- Ting Zhang
- Department of Obstetrics and Gynaecology, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China; State Key Laboratory of Maternal and Fetal Medicine of Chongqing Municipality, Chongqing Medical University, Chongqing 400016, China
| | - Wen-Rong Jiang
- Chongqing Key Laboratory of Oral Diseases and Biomedical Sciences, Chongqing 401147, PR China; Chongqing Municipal Key Laboratory of Oral Biomedical Engineering of Higher Education, Chongqing 401147, China; Stomatological Hospital of Chongqing Medical University, Chongqing 401147, China
| | - Yin-Yin Xia
- School of Public Health and Management, Chongqing Medical University, Chongqing 400016, China
| | - Toby Mansell
- Cancer & Disease Epigenetics, Murdoch Children's Research Institute and Department of Paediatrics, University of Melbourne, Melbourne, VIC, Australia
| | - Richard Saffery
- Cancer & Disease Epigenetics, Murdoch Children's Research Institute and Department of Paediatrics, University of Melbourne, Melbourne, VIC, Australia
| | - Richard D Cannon
- Department of Oral Sciences, Sir John Walsh Research Institute, Faculty of Dentistry, University of Otago, Dunedin, New Zealand
| | - Jamie De Seymour
- Liggins Institute, The University of Auckland, Auckland 1023, New Zealand
| | - Zhen Zou
- Institute of Life Sciences, Chongqing Medical University, Chongqing 400016, China
| | - Ge Xu
- Institute of Life Sciences, Chongqing Medical University, Chongqing 400016, China
| | - Ting-Li Han
- Department of Obstetrics and Gynaecology, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China; School of Public Health and Management, Chongqing Medical University, Chongqing 400016, China; Institute of Life Sciences, Chongqing Medical University, Chongqing 400016, China.
| | - Hua Zhang
- Department of Obstetrics and Gynaecology, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China; State Key Laboratory of Maternal and Fetal Medicine of Chongqing Municipality, Chongqing Medical University, Chongqing 400016, China.
| | - Philip N Baker
- College of Medicine, Biological Sciences and Psychology, University of Leicester, UK
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Gao F, Cui CY. Dietary Cholesterol Intake and Risk of Gestational Diabetes Mellitus: A Meta-Analysis of Observational Studies. J Am Coll Nutr 2021; 41:107-115. [PMID: 33416437 DOI: 10.1080/07315724.2020.1844605] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
This meta-analysis aimed to understand the association between dietary cholesterol intake and the risk of gestational diabetes mellitus (GDM). We systematically searched the PubMed, Web of Science, and EMBASE databases to identify observational studies, published before September 2020, investigating the relationship between dietary cholesterol intake and risk of GDM. After evaluating the heterogeneity among studies, we used fixed- or random-effects models to calculate pooled values of relative risk (RR) and 95% confidence intervals (CIs) in order to estimate the effect of dietary cholesterol on the risk of GDM. We included a total of 9 studies (3 cohort, 4 cross-sectional, and 2 case-control) involving 30123 participants and 3237 cases. The pooled RR of GDM comparing highest versus lowest category of dietary cholesterol intake was 1.49 (95% CI, 1.18-1.88). The dose-response relationship showed that the risk of GDM increased by 32% (RR = 1.32; 95% CI, 1.20-1.45) for every increase of 100 mg per day in dietary cholesterol intake. This meta-analysis indicates that an increase in dietary cholesterol intake is associated with increased risk of GDM. Detailed cohort studies are essential to gain a better understanding of this association. Key teaching pointsStudies on animal models have suggested that a cholesterol-rich diet can promote systemic inflammation and insulin resistance, both of which can contribute to T2DM and GDM.Several epidemiological studies have investigated a potential relationship between dietary cholesterol intake and GDM risk, and the results are controversial.Our meta-analysis indicates that increased dietary cholesterol intake is associated with increased GDM risk.Dose-response analysis showed a linear relationship between dietary cholesterol intake and risk of GDM.
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Affiliation(s)
- Fan Gao
- Xi'an Centre for Disease Control and Prevention, Xi'an, China
| | - Cai-Yan Cui
- Xi'an Centre for Disease Control and Prevention, Xi'an, China
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19
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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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20
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Hong M, Xiong T, Huang J, Wu Y, Lin L, Zhang Z, Huang L, Gao D, Wang H, Kang C, Gao Q, Yang X, Yang N, Hao L. Association of vitamin D supplementation with respiratory tract infection in infants. MATERNAL AND CHILD NUTRITION 2020; 16:e12987. [PMID: 32141233 PMCID: PMC7296792 DOI: 10.1111/mcn.12987] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/01/2019] [Revised: 02/03/2020] [Accepted: 02/18/2020] [Indexed: 02/06/2023]
Abstract
Vitamin D deficiency has been reported to be associated with respiratory tract infection (RTI). However, evidence regarding the effects of vitamin D supplementation on susceptibility of infants to RTI is limited. In this prospective birth cohort study, we examined whether vitamin D supplementation reduced RTI risk in 2,244 infants completing the follow‐up from birth to 6 months of age. The outcome endpoint was the first episode of paediatrician‐diagnosed RTI or 6 months of age when no RTI event occurred. Infants receiving vitamin D supplements at a daily dose of 400–600 IU from birth to the outcome endpoint were defined as vitamin D supplementation and divided into four groups according to the average frequency of supplementation: 0, 1–2, 3–4, and 5–7 days/week. We evaluated the relationship between vitamin D supplementation and time to the first episode of RTI with Kaplan–Meier plots. The associations of vitamin D supplementation with infant RTI, lower RTI (LRTI), and RTI‐related hospitalization were assessed using modified Poisson regression. The median time to first RTI episode was 60 days after birth (95% CI [60, 90]) for infants without supplementation and longer than 6 months of age for infants with supplementation (p < .001). We observed inverse trends between supplementation frequency and risk of RTI, LRTI, and RTI‐related hospitalization (p for trend < .001), with the risk ratios in the 5–7 days/week supplementation group of 0.46 (95% CI [0.41, 0.50]), 0.17 (95% CI [0.13, 0.24]), and 0.18 (95% CI [0.12, 0.27]), respectively. These associations were significant and consistent in a subgroup analysis stratified by infant feeding.
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Affiliation(s)
- Miao Hong
- 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
| | - Ting Xiong
- 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
| | - Junmei Huang
- 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.,Department of Clinical Nutrition, People's Hospital of Sanya City, Sanya, China
| | - Yuanjue Wu
- 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
| | - Lixia Lin
- 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
| | - Zhen Zhang
- 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
| | - Li Huang
- 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
| | - Duan Gao
- 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
| | - Huanzhuo 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
| | - Chun Kang
- 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
| | - Qin Gao
- 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
| | - Nianhong 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
| | - 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
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