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Payandeh N, Shahinfar H, Jayedi A, Mirmohammadkhani M, Emadi A, Shab-Bidar S. The association between the dietary inflammatory index during pregnancy and risk of gestational diabetes: a prospective cohort study and a meta-analysis. BMC Endocr Disord 2025; 25:29. [PMID: 39901152 PMCID: PMC11789316 DOI: 10.1186/s12902-025-01852-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Accepted: 01/20/2025] [Indexed: 02/05/2025] Open
Abstract
INTRODUCTION To examine the association between dietary inflammatory index (DII) and risk of gestational diabetes mellitus (GDM). METHODS A prospective birth cohort study was conducted in Iran. During the first trimester of pregnancy, food intake was measured using a food frequency questionnaire. Each participant's DII score was calculated, and then, the Cox proportional hazard model was used to calculate the hazard ratio (HR) and 95% CI of GDM across the quartiles of DII. We systematically searched the literature to conduct a meta-analysis of observational studies (PROSPERO: CRD42022331703). To estimate the summary relative risk for the highest versus lowest category of DII, a random-effects meta-analysis was performed. The certainty of evidence was assessed using the GRADE approach. RESULTS In the prospective cohort study (n = 635 pregnant mothers), the multivariable HRs of GDM for the third and fourth quartiles of DII were 2.98 (95%CI: 1.98, 6.46) and 2.72 (95%CI: 1.11, 6.63), respectively. Based on a meta-analysis of six prospective cohorts and a case-control study (1014 cases of GDM in 7027 pregnant mothers), being in the highest category of the DII was associated with a 27% higher risk of GDM (relative risk: 1.27, 95%CI: 1.01, 1.59; I2 = 50%; low certainty of evidence). A dose-response meta-analysis suggested a positive monotonic association between DII and GDM risk. CONCLUSIONS Our prospective cohort demonstrated a positive correlation between GDM risk and the inflammatory potential of diet in the first trimester of pregnancy. The results need to be confirmed by larger cohort studies. CLINICAL TRIAL NUMBER Not applicable.
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Affiliation(s)
- Nastaran Payandeh
- Student Research Committee, Semnan University of Medical Sciences, Semnan, Iran
| | - Hossein Shahinfar
- Nutritional Health Research Center, School of Health and Nutrition, Lorestan University of Medical Sciences, Khorramabad, Iran
| | - Ahmad Jayedi
- Social Determinants of Health Research Center, Semnan University of Medical Sciences, Semnan, Iran
| | - Majid Mirmohammadkhani
- Social Determinants of Health Research Center, Semnan University of Medical Sciences, Semnan, Iran
| | - Alireza Emadi
- Food Safety Research Center (salt), Semnan University of Medical Sciences, Semnan, Iran
| | - Sakineh Shab-Bidar
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), No 44, Hojjat-dost Alley, Naderi St., Keshavarz Blvd, P. O. Box 14155/6117, Tehran, Iran.
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Zhou J, Yu J, Ren J, Ren Y, Zeng Y, Wu Y, Zhang Q, Xiao X. Association of maternal blood metabolomics and gestational diabetes mellitus risk: a systematic review and meta-analysis. Rev Endocr Metab Disord 2024:10.1007/s11154-024-09934-5. [PMID: 39602052 DOI: 10.1007/s11154-024-09934-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 11/13/2024] [Indexed: 11/29/2024]
Abstract
Gestational diabetes mellitus (GDM) is a common complication of pregnancy that has short- and long-term adverse effects. Therefore, further exploration of the pathophysiology of GDM and related biomarkers is important. In this study, we performed a systematic review and meta-analysis to investigate the associations between metabolites in blood detected via metabolomics techniques and the risk of GDM and to identify possible biomarkers for predicting the occurrence of GDM. We retrieved case‒control and cohort studies of metabolomics and GDM published in PubMed, Embase, and Web of Science through March 29, 2024; extracted metabolite concentrations, odds ratios (ORs), or relative risks (RRs); and evaluated the integrated results with metabolites per-SD risk estimates and 95% CIs for GDM. We estimated the results via the random effects model and the inverse variance method. Our study is registered in PROSPERO (CRD42024539435). We included a total of 28 case‒control and cohort studies, including 17,370 subjects (4,372 GDM patients and 12,998 non-GDM subjects), and meta-analyzed 67 metabolites. Twenty-five of these metabolites were associated with GDM risk. Some amino acids (isoleucine, leucine, valine, alanine, aspartate, etc.), lipids (C16:0, C18:1n-9, C18:1n-7, lysophosphatidylcholine (LPC) (16:0), LPC (18:0), and palmitoylcarnitine), and carbohydrates and energy metabolites (glucose, pyruvate, lactate, 2-hydroxybutyrate, 3-hydroxybutyrate) were discovered to be associated with increased GDM risk (hazard ratio 1.06-2.77). Glutamine, histidine, C14:0, and sphingomyelin (SM) (34:1) were associated with lower GDM risk (hazard ratio 0.75-0.84). These findings suggest that these metabolites may play essential roles in GDM progression, and serve as biomarkers, contributing to the early diagnosis and prediction of GDM.
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Grants
- 81870545, 81870579, 82170854, 81570715, 81170736 National Natural Science Foundation of China
- 7202163 the Beijing Natural Science Foundation
- Z201100005520011 the Beijing Municipal Science and Technology Commission
- 2017YFC1309603, 2021YFC2501700, 2016YFA0101002, 2018YFC2001100 the National Key Research and Development Program of China
- 2019DCT-M-05 the Scientific Activities Foundation for Selected Returned Overseas Professionals of Human Resources and Social Security Ministry, Beijing Dongcheng District Outstanding Talent Funding Project
- 2017PT31036, 2018PT31021 the Medical Epigenetics Research Center, Chinese Academy of Medical Sciences
- 2023PT32010, 2017PT32020, 2018PT32001 the Non-profit Central Research Institute Fund of Chinese Academy of Medical Sciences
- CIFMS2017-I2M-1-008, CIFMS2021-I2M-1-002 the Chinese Academy of Medical Sciences Innovation Fund for Medical Sciences
- 2022-PUMCH-C-019 National High Level Hospital Clinical Research Funding
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Affiliation(s)
- Jing Zhou
- Key Laboratory of Endocrinology of National Health Commission, Department of Endocrinology, Peking Union Medical College Hospital, Peking Union Medical College, Diabetes Research Center of Chinese Academy of Medical Sciences, Chinese Academy of Medical Sciences, Beijing, 100730, China
| | - Jie Yu
- Key Laboratory of Endocrinology of National Health Commission, Department of Endocrinology, Peking Union Medical College Hospital, Peking Union Medical College, Diabetes Research Center of Chinese Academy of Medical Sciences, Chinese Academy of Medical Sciences, Beijing, 100730, China
| | - Jing Ren
- Key Laboratory of Endocrinology of National Health Commission, Department of Endocrinology, Peking Union Medical College Hospital, Peking Union Medical College, Diabetes Research Center of Chinese Academy of Medical Sciences, Chinese Academy of Medical Sciences, Beijing, 100730, China
| | - Yaolin Ren
- Key Laboratory of Endocrinology of National Health Commission, Department of Endocrinology, Peking Union Medical College Hospital, Peking Union Medical College, Diabetes Research Center of Chinese Academy of Medical Sciences, Chinese Academy of Medical Sciences, Beijing, 100730, China
| | - Yuan Zeng
- Key Laboratory of Endocrinology of National Health Commission, Department of Endocrinology, Peking Union Medical College Hospital, Peking Union Medical College, Diabetes Research Center of Chinese Academy of Medical Sciences, Chinese Academy of Medical Sciences, Beijing, 100730, China
| | - Yifan Wu
- Key Laboratory of Endocrinology of National Health Commission, Department of Endocrinology, Peking Union Medical College Hospital, Peking Union Medical College, Diabetes Research Center of Chinese Academy of Medical Sciences, Chinese Academy of Medical Sciences, Beijing, 100730, China
| | - Qian Zhang
- Key Laboratory of Endocrinology of National Health Commission, Department of Endocrinology, Peking Union Medical College Hospital, Peking Union Medical College, Diabetes Research Center of Chinese Academy of Medical Sciences, Chinese Academy of Medical Sciences, Beijing, 100730, China.
| | - Xinhua Xiao
- Key Laboratory of Endocrinology of National Health Commission, Department of Endocrinology, Peking Union Medical College Hospital, Peking Union Medical College, Diabetes Research Center of Chinese Academy of Medical Sciences, Chinese Academy of Medical Sciences, Beijing, 100730, China.
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Cao XY, Li MY, Shao CX, Shi JL, Zhang T, Xie F, Peng T, Li MQ. Fatty Acid Metabolism Disruptions: A Subtle yet Critical Factor in Adverse Pregnancy Outcomes. Int J Biol Sci 2024; 20:6018-6037. [PMID: 39664564 PMCID: PMC11628336 DOI: 10.7150/ijbs.103404] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2024] [Accepted: 10/26/2024] [Indexed: 12/13/2024] Open
Abstract
The establishment and maintenance of pregnancy encompass a series of complex and high-energy-consuming physiological processes, resulting in a significant energy demand. Fatty acids, one of the most essential nutrients, play a crucial role in energy supply via oxidation and perform critical biological functions such as anti-inflammatory and anti-oxidant effects, which substantially impact human health. Disordered fatty acid metabolism can cause anomalies in fetal growth and development, as well as a range of pregnancy problems, which can influence the health of both the mother and the fetus. In this review, we innovatively explore the relationship between fatty acid metabolism abnormalities and pregnancy complications, emphasizing the potential of dietary interventions with polyunsaturated fatty acids in improving pregnancy outcomes. These findings provide important evidence for clinical interventions and enhance the understanding and practical application of health management during pregnancy.
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Affiliation(s)
- Xiao-Yan Cao
- Department of Reproductive Immunology, The International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200030, People's Republic of China
- Laboratory for Reproductive Immunology, Hospital of Obstetrics and Gynecology, Shanghai Medical School, Fudan University, Shanghai 200080, People's Republic of China
| | - Meng-Ying Li
- Laboratory for Reproductive Immunology, Hospital of Obstetrics and Gynecology, Shanghai Medical School, Fudan University, Shanghai 200080, People's Republic of China
| | - Chang-Xiang Shao
- Department of Obstetrics and Gynecology, Shanghai Changning Maternity & Infant Health Hospital, East China Normal University, Shanghai 200051, People's Republic of China
| | - Jia-Lu Shi
- Assisted Reproductive Technology Unit, Department of Obstetrics and Gynecology, Faculty of Medicine, Chinese University of Hong Kong, Hong Kong, People's Republic of China
| | - Tao Zhang
- Assisted Reproductive Technology Unit, Department of Obstetrics and Gynecology, Faculty of Medicine, Chinese University of Hong Kong, Hong Kong, People's Republic of China
| | - Feng Xie
- Laboratory for Reproductive Immunology, Hospital of Obstetrics and Gynecology, Shanghai Medical School, Fudan University, Shanghai 200080, People's Republic of China
| | - Ting Peng
- Department of Obstetrics and Gynecology, Shanghai Changning Maternity & Infant Health Hospital, East China Normal University, Shanghai 200051, People's Republic of China
| | - Ming-Qing Li
- Department of Reproductive Immunology, The International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200030, People's Republic of China
- Shanghai Key Laboratory of Embryo Original Diseases, Shanghai 200030, People's Republic of China
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Masalin S, Klåvus A, Rönö K, Koistinen HA, Koistinen V, Kärkkäinen O, Jääskeläinen TJ, Klemetti MM. Analysis of early-pregnancy metabolome in early- and late-onset gestational diabetes reveals distinct associations with maternal overweight. Diabetologia 2024; 67:2539-2554. [PMID: 39083240 PMCID: PMC11519293 DOI: 10.1007/s00125-024-06237-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/29/2024] [Accepted: 05/10/2024] [Indexed: 10/29/2024]
Abstract
AIMS/HYPOTHESIS It is not known whether the early-pregnancy metabolome differs in patients with early- vs late-onset gestational diabetes mellitus (GDM) stratified by maternal overweight. The aims of this study were to analyse correlations between early-pregnancy metabolites and maternal glycaemic and anthropometric characteristics, and to identify early-pregnancy metabolomic alterations that characterise lean women (BMI <25 kg/m2) and women with overweight (BMI ≥25 kg/m2) with early-onset GDM (E-GDM) or late-onset GDM (L-GDM). METHODS We performed a nested case-control study within the population-based prospective Early Diagnosis of Diabetes in Pregnancy cohort, comprising 210 participants with GDM (126 early-onset, 84 late-onset) and 209 normoglycaemic control participants matched according to maternal age, BMI class and primiparity. Maternal weight, height and waist circumference were measured at 8-14 weeks' gestation. A 2 h 75 g OGTT was performed at 12-16 weeks' gestation (OGTT1), and women with normal results underwent repeat testing at 24-28 weeks' gestation (OGTT2). Comprehensive metabolomic profiling of fasting serum samples, collected at OGTT1, was performed by untargeted ultra-HPLC-MS. Linear models were applied to study correlations between early-pregnancy metabolites and maternal glucose concentrations during OGTT1, fasting insulin, HOMA-IR, BMI and waist circumference. Early-pregnancy metabolomic features for GDM subtypes (participants stratified by maternal overweight and gestational timepoint at GDM onset) were studied using linear and multivariate models. The false discovery rate was controlled using the Benjamini-Hochberg method. RESULTS In the total cohort (n=419), the clearest correlation patterns were observed between (1) maternal glucose concentrations and long-chain fatty acids and medium- and long-chain acylcarnitines; (2) maternal BMI and/or waist circumference and long-chain fatty acids, medium- and long-chain acylcarnitines, phospholipids, and aromatic and branched-chain amino acids; and (3) HOMA-IR and/or fasting insulin and L-tyrosine, certain long-chain fatty acids and phospholipids (q<0.001). Univariate analyses of GDM subtypes revealed significant differences (q<0.05) for seven non-glucose metabolites only in overweight women with E-GDM compared with control participants: linolenic acid, oleic acid, docosapentaenoic acid, docosatetraenoic acid and lysophosphatidylcholine 20:4/0:0 abundances were higher, whereas levels of specific phosphatidylcholines (P-16:0/18:2 and 15:0/18:2) were lower. However, multivariate analyses exploring the early-pregnancy metabolome of GDM subtypes showed differential clustering of acylcarnitines and long-chain fatty acids between normal-weight and overweight women with E- and L-GDM. CONCLUSIONS/INTERPRETATION GDM subtypes show distinct early-pregnancy metabolomic features that correlate with maternal glycaemic and anthropometric characteristics. The patterns identified suggest early-pregnancy disturbances of maternal lipid metabolism, with most alterations observed in overweight women with E-GDM. Our findings highlight the importance of maternal adiposity as the primary target for prevention and treatment.
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Affiliation(s)
- Senja Masalin
- Department of Obstetrics and Gynecology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.
- Obstetrics and Gynecology, South Karelia Central Hospital, Lappeenranta, Finland.
- Department of General Practice and Primary Healthcare, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.
| | | | - Kristiina Rönö
- Department of Obstetrics and Gynecology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Obstetrics and Gynecology, South Karelia Central Hospital, Lappeenranta, Finland
| | - Heikki A Koistinen
- Department of Medicine, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Minerva Foundation Institute for Medical Research, Helsinki, Finland
| | | | - Olli Kärkkäinen
- Afekta Technologies Ltd, Kuopio, Finland
- School of Pharmacy, University of Eastern Finland, Kuopio, Finland
| | - Tiina J Jääskeläinen
- Department of Medical and Clinical Genetics, University of Helsinki, Helsinki, Finland
- Department of Food and Nutrition, University of Helsinki, Helsinki, Finland
| | - Miira M Klemetti
- Department of Obstetrics and Gynecology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.
- Obstetrics and Gynecology, South Karelia Central Hospital, Lappeenranta, Finland.
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Gong J, Xu W, Chen Y, Chen S, Wu Y, Chen Y, Li Y, He Y, Yu H, Xie L. Maternal Gestational Diabetes Mellitus and High-Fat Diet Influenced Hepatic Polyunsaturated Fatty Acids Profile in the Offspring of C57BL/6J Mice. Mol Nutr Food Res 2024; 68:e2400386. [PMID: 39246092 DOI: 10.1002/mnfr.202400386] [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] [Received: 05/23/2024] [Revised: 08/04/2024] [Indexed: 09/10/2024]
Abstract
SCOPE This research examines the effects of maternal high-fat (HF) diet and gestational diabetes mellitus (GDM) on offspring lipid metabolism and polyunsaturated fatty acids (PUFA) profile. METHODS AND RESULTS GDM is induced using the insulin receptor antagonist S961. Weaning offspring are categorized into HF-GDM, HF-CON, NC-GDM, and NC-CON groups based on maternal diet or GDM. Adult offspring are then grouped into NC-CON-NC, NC-CON-HF, NC-GDM-NC, NC-GDM-HF, HF-CON-NC, HF-CON-HF, HF-GDM-NC, and HF-GDM-HF according to dietary patterns. Gas chromatography determines PUFA composition. Western blot assesses PI3K/Akt signaling pathway-related protein expression. Feeding a normal chow diet until adulthood improves the distribution of hepatic PUFA during weaning across the four groups. PI3K expression is upregulated during weaning in HF-CON and HF-GDM, particularly in HF-CON-NC and HF-GDM-NC, compared to NC-CON-NC during adulthood. Akt expression increases in NC-GDM-NC after weaning with a normal diet. The hepatic PUFA profile in HF-CON-HF significantly distinguishes among the maternal generation health groups. Maternal HF diet exacerbates the combined impact of maternal GDM and offspring HF diet on hepatic PUFA and PI3K/Akt signaling pathway-related proteins during adulthood. CONCLUSIONS Early exposure to HF diets and GDM affects hepatic PUFA profiles and PI3K/Akt signaling pathway protein expression in male offspring during weaning and adulthood.
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Affiliation(s)
- JiaYu Gong
- Department of Nutrition and Food Hygiene, School of Public Health, Jilin University, Changchun City, Jilin Province, 130021, China
| | - WenHui Xu
- Department of Nutrition and Food Hygiene, School of Public Health, Jilin University, Changchun City, Jilin Province, 130021, China
| | - YiFei Chen
- Department of Nutrition and Food Hygiene, School of Public Health, Jilin University, Changchun City, Jilin Province, 130021, China
| | - ShuTong Chen
- Department of Nutrition and Food Hygiene, School of Public Health, Jilin University, Changchun City, Jilin Province, 130021, China
| | - YanYan Wu
- Department of Nutrition and Food Hygiene, School of Public Health, Jilin University, Changchun City, Jilin Province, 130021, China
| | - YiRu Chen
- Clinical Nutrition Department, Third Hospital of Jilin University, Changchun City, Jilin Province, 130032, China
| | - YueTing Li
- Department of Nutrition and Food Hygiene, School of Public Health, Jilin University, Changchun City, Jilin Province, 130021, China
| | - Yuan He
- Department of Nutrition and Food Hygiene, School of Public Health, Jilin University, Changchun City, Jilin Province, 130021, China
| | - HaiTao Yu
- Department of Nutrition and Food Hygiene, School of Public Health, Jilin University, Changchun City, Jilin Province, 130021, China
| | - Lin Xie
- Department of Nutrition and Food Hygiene, School of Public Health, Jilin University, Changchun City, Jilin Province, 130021, China
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Dong Y, Hu AQ, Han BX, Cao MT, Liu HY, Li ZG, Li Q, Zheng YJ. Mendelian randomization analysis reveals causal effects of blood lipidome on gestational diabetes mellitus. Cardiovasc Diabetol 2024; 23:335. [PMID: 39261922 PMCID: PMC11391602 DOI: 10.1186/s12933-024-02429-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/08/2024] [Accepted: 09/02/2024] [Indexed: 09/13/2024] Open
Abstract
BACKGROUND Observational studies have revealed associations between maternal lipid metabolites and gestational diabetes mellitus (GDM). However, whether these associations are causal remain uncertain. OBJECTIVE To evaluate the causal relationship between lipid metabolites and GDM. METHODS A two-sample Mendelian randomization (MR) analysis was performed based on summary statistics. Sensitivity analyses, validation analyses and reverse MR analyses were conducted to assess the robustness of the MR results. Additionally, a phenome-wide MR (Phe-MR) analysis was performed to evaluate potential side effects of the targeted lipid metabolites. RESULTS A total of 295 lipid metabolites were included in this study, 29 of them had three or more instrumental variables (IVs) suitable for sensitivity analyses. The ratio of triglycerides to phosphoglycerides (TG_by_PG) was identified as a potential causal biomarker for GDM (inverse variance weighted (IVW) estimate: odds ratio (OR) = 2.147, 95% confidential interval (95% CI) 1.415-3.257, P = 3.26e-4), which was confirmed by validation and reverse MR results. Two other lipid metabolites, palmitoyl sphingomyelin (d18:1/16:0) (PSM(d18:1/16:0)) (IVW estimate: OR = 0.747, 95% CI 0.583-0.956, P = 0.021) and triglycerides in very small very low-density lipoprotein (XS_VLDL_TG) (IVW estimate: OR = 2.948, 95% CI 1.197-5.215, P = 0.015), were identified as suggestive potential biomarkers for GDM using a conventional cut-off P-value of 0.05. Phe-MR results indicated that lowering TG_by_PG had detrimental effects on two diseases but advantageous effects on the other 13 diseases. CONCLUSION Genetically predicted elevated TG_by_PG are causally associated with an increased risk of GDM. Side-effect profiles indicate that TG_by_PG might be a target for GDM prevention, though caution is advised due to potential adverse effects on other conditions.
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Affiliation(s)
- Yao Dong
- Department of Epidemiology, School of Public Health, Fudan University, 130 Dong-an Rd., Shanghai, 200032, China
- Laboratory of Public Health Safety, Ministry of Education, School of Public Health, Fudan University, Shanghai, 200032, China
- Key Laboratory for Health Technology Assessment, National Commission of Health and Family Planning, Fudan University, Shanghai, 200032, China
| | - An-Qun Hu
- Department of Clinical Laboratory, Anqing Municipal Hospital, Anqing, 246003, China
| | - Bai-Xue Han
- Department of Epidemiology, School of Public Health, Fudan University, 130 Dong-an Rd., Shanghai, 200032, China
- Laboratory of Public Health Safety, Ministry of Education, School of Public Health, Fudan University, Shanghai, 200032, China
- Key Laboratory for Health Technology Assessment, National Commission of Health and Family Planning, Fudan University, Shanghai, 200032, China
| | - Meng-Ting Cao
- Department of Epidemiology, School of Public Health, Fudan University, 130 Dong-an Rd., Shanghai, 200032, China
- Laboratory of Public Health Safety, Ministry of Education, School of Public Health, Fudan University, Shanghai, 200032, China
- Key Laboratory for Health Technology Assessment, National Commission of Health and Family Planning, Fudan University, Shanghai, 200032, China
| | - Hai-Yan Liu
- Department of Clinical Laboratory, Anqing Municipal Hospital, Anqing, 246003, China
| | - Zong-Guang Li
- Department of Clinical Laboratory, Anqing Municipal Hospital, Anqing, 246003, China
| | - Qing Li
- Department of Obstetrics and Gynecology, Anqing Municipal Hospital, Anqing, 246003, China
| | - Ying-Jie Zheng
- Department of Epidemiology, School of Public Health, Fudan University, 130 Dong-an Rd., Shanghai, 200032, China.
- Laboratory of Public Health Safety, Ministry of Education, School of Public Health, Fudan University, Shanghai, 200032, China.
- Key Laboratory for Health Technology Assessment, National Commission of Health and Family Planning, Fudan University, Shanghai, 200032, China.
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Long BY, Liang X. Dietary management of gestational diabetes: A review. Medicine (Baltimore) 2024; 103:e38715. [PMID: 38996126 PMCID: PMC11245252 DOI: 10.1097/md.0000000000038715] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/16/2024] [Accepted: 06/06/2024] [Indexed: 07/14/2024] Open
Abstract
Gestational diabetes mellitus (GDM) is a common condition in pregnant women that can affect the health of both the mother and the fetus. A healthy diet reduces the risk of GDM, while on the contrary, an unhealthy diet can increase the risk of developing GDM. Dietary interventions remain an important way to control GDM at this time. However, real-life diets are complex and varied, and the effect of these diets on gestational diabetes is unknown. This article summarizes research related to dietary control of GDM. Hopefully, this will help with dietary interventions for people with GDM.
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Affiliation(s)
- Bin-Yang Long
- School of Medicine and Life Sciences, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Xin Liang
- School of Medicine and Life Sciences, Chengdu University of Traditional Chinese Medicine, Chengdu, China
- Reproductive Maternity and Childhood Hospital Affiliated to Chengdu University of Traditional Chinese Medicine, Chengdu, China
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Li LJ, Lu R, Rawal S, Birukov A, Weir NL, Tsai MY, Wu J, Chen Z, Zhang C. Maternal plasma phospholipid polyunsaturated fatty acids in early pregnancy and thyroid function throughout pregnancy: a longitudinal study. Am J Clin Nutr 2024; 119:1065-1074. [PMID: 38408725 PMCID: PMC11181349 DOI: 10.1016/j.ajcnut.2024.02.016] [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] [Received: 11/20/2023] [Revised: 02/02/2024] [Accepted: 02/21/2024] [Indexed: 02/28/2024] Open
Abstract
BACKGROUND Evidence has indicated that polyunsaturated fatty acids (PUFAs)-enriched diet could reduce inflammation because of thyroid autoimmunity in vivo, and therefore, enhance thyroid function. OBJECTIVES We investigated whether early pregnancy plasma phospholipid PUFAs could benefit maternal thyroid function across pregnancy, which is critical to fetal brain development and growth in pregnancy. METHODS Within the National Institute of Child Health and Human Development Fetal Growth Studies-Singleton Cohort, we collected plasma samples longitudinally from 214 subjects [107 with gestational diabetes mellitus (GDM) matched with 107 controls] with a singleton pregnancy. We measured 11 PUFAs at early pregnancy (10-14 wk) and 5 thyroid biomarkers at 10-14, 15-26, 23-31, and 33-39 wk, including free thyroxine (fT4), free triiodothyronine (fT3), thyroid-stimulating hormone, antithyroid peroxidase, and antithyroglobulin. Associations of PUFAs with thyroid function biomarkers and relative risk (RR) of gestational hypothyroidism (GHT) during pregnancy were assessed using generalized linear mixed models and modified Poisson regression, respectively. RESULTS After sample weighting because of subjects with GDM over-representing in the analytic sample with biomarkers, eicosapentaenoic acid (EPA) at early pregnancy was associated with a reduction of 0.24 pmol/L (95% confidence intervals: -0.31, -0.16) in fT3 across gestation per standard deviation (SD) increment, whereas docosahexaenoic acid (DHA) at early pregnancy was associated with an increment of 0.04 ng/dL (0.02, 0.05) in fT4 across gestation per SD increment. Furthermore, EPA and docosatetraenoic acid (DTA) were associated with lower risks of persistent GHT (EPA-RR: 0.13; 0.06, 0.28; DTA-RR: 0.24; 0.13, 0.44) per SD increment. All significant associations remained robust in sensitivity analysis and multiple testing. CONCLUSIONS Certain plasma phospholipid PUFAs were associated with optimal levels of thyroid biomarkers and even lower risk of GHT throughout pregnancy, which might be potentially targeted for maternal thyroid regulation in early pregnancy. CLINICAL TRIAL REGISTRY This trial was registered at https://beta. CLINICALTRIALS gov/study/NCT00912132?distance=50&term=NCT00912132&rank=1 as NCT00912132.
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Affiliation(s)
- Ling-Jun Li
- Global Centre for Asian Women's Health, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Department of O&G, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; NUS Bia-Echo Asia Centre for Reproductive Longevity and Equality (ACRLE), Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Ruijin Lu
- Division of Biostatistics, School of Medicine, Washington University in St. Louis, St. Louis, MO, United States
| | - Shristi Rawal
- Department of Clinical and Preventive Nutrition Sciences, School of Health Professions, Rutgers Global Health Institute, Rutgers University, NJ, United States
| | - Anna Birukov
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States
| | - Natalie L Weir
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, United States
| | - Michael Y Tsai
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, United States
| | - Jing Wu
- Glotech Inc., Bethesda, MD, United States
| | - Zhen Chen
- Division of Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, United States
| | - Cuilin Zhang
- Global Centre for Asian Women's Health, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Department of O&G, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; NUS Bia-Echo Asia Centre for Reproductive Longevity and Equality (ACRLE), Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
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9
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Fisher SA, Jao JK, Yee LM, Serghides L, Chadwick EG, Jacobson DL. Association of Fatty Acid Signatures with HIV Viremia in Pregnancy. AIDS Res Hum Retroviruses 2024; 40:257-267. [PMID: 37772708 PMCID: PMC11040191 DOI: 10.1089/aid.2023.0040] [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] [Indexed: 09/30/2023] Open
Abstract
Omega-6 (n-6) and omega-3 (n-3) polyunsaturated fatty acids (PUFAs) are vital for fetal metabolic programming and immunomodulation. Higher n-6:n-3 ratios, reflecting a proinflammatory eicosanoid profile, are associated with adverse perinatal outcomes. Limited data exist, however, on n-6 and n-3 PUFAs specifically in the context of HIV and pregnancy. Our objective was to assess HIV clinical factors associated with PUFA signatures in pregnant persons with HIV (PWH). In this observational cohort, third trimester plasma PUFA concentrations (six n-6 PUFAs, four n-3 PUFAs) were measured, each as a percent of total fatty acid content, via esterification and gas chromatography in pregnant PWH enrolled from 2009 to 2011 in the Nutrition substudy of the Pediatric HIV/AIDS Cohort Study. PUFA ratios (n-6:n-3) were calculated. Exposures assessed were first/second trimester CD4 count (<200 vs. >200 cells/mm3), HIV RNA viral load (VL) (VL >400 vs. <400 copies/mL), and protease inhibitor (PI) versus non-PI antiretroviral therapy (ART). Linear regression models using generalized estimating equations were fit to assess mean differences and their 95% confidence intervals (CIs) in n-6:n-3 by each exposure, adjusted for potential confounders. Of 264 eligible pregnant PWH, the median age was 27 years, 12% had CD4 counts <200 cells/mm3, and 56% had VL ≥400 copies/mL in the first/second trimesters. PUFA concentrations and ratios were similar by CD4 count and PI exposure. n-3 concentrations were lower in PWH with VL ≥400 versus <400 copies/mL (median 2.8% vs. 3.0%, p < .01, respectively); no differences were observed for n-6 concentrations by VL. In models adjusted for age, education, tobacco use, body mass index, and PI-based ART, n-6:n-3 was higher in those with VL ≥400 copies/mL (mean difference: 1.6; 95% CI: 0.79-2.48, p = .0001). Therefore, PUFA signatures in viremic pregnant PWH reflect a proinflammatory eicosanoid milieu. Future studies should evaluate associations of proinflammatory PUFA signatures with adverse perinatal outcomes in PWH.
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Affiliation(s)
- Stephanie A. Fisher
- Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
| | - Jennifer K. Jao
- Division of Infectious Diseases, Departments of Pediatrics and Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
- Division of Infectious Diseases, Department of Pediatrics, Ann and Robert H. Lurie Children's Hospital of Chicago, Chicago, Illinois, USA
| | - Lynn M. Yee
- Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
| | - Lena Serghides
- Toronto General Hospital Research Institute, University Health Network, Toronto, Canada
- Department of Immunology and Institute of Medical Sciences, University of Toronto, Toronto, Canada
| | - Ellen G. Chadwick
- Division of Infectious Diseases, Departments of Pediatrics and Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
- Division of Infectious Diseases, Department of Pediatrics, Ann and Robert H. Lurie Children's Hospital of Chicago, Chicago, Illinois, USA
| | - Denise L. Jacobson
- Center for Biostatistics in AIDS Research, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
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10
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Joshi N, Jadhav A, Godhamgaonkar A, Sundrani D, Randhir K, Pisal H, Wagh G, Krishnaveni G, Gupte S, Joshi S. Fatty acids and their metabolites (resolvins) are altered in women with gestational diabetes mellitus (GDM). Food Funct 2024; 15:3023-3035. [PMID: 38412051 DOI: 10.1039/d3fo05348b] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/29/2024]
Abstract
The maternal fatty acid status plays a key role in influencing pregnancy outcomes. Omega-3 fatty acids are the precursors for E-series (RvE) and D-series resolvins (RvD) and possess anti-inflammatory properties. Pregnancy complications like gestational diabetes mellitus (GDM) are associated with excess maternal inflammation. This study reports the levels of maternal fatty acids across gestation in GDM and non-GDM women, placental fatty acids, resolvins and their association with the maternal fatty acid status. Pregnant women were recruited at 11-14 (V1) weeks and followed at 18-22 (V2) and 26-28 (V3) weeks and at delivery (V4). A total of 209 women who were diagnosed as GDM and 207 non-GDM women were included in this study. Fatty acids were estimated using gas chromatography. The protein levels of resolvins (RvE1, RvE2, RvD1 and RvD2) were measured using ELISA kits. Total PUFAs, eicosapentaenoic acid (EPA), omega-6 fatty acids, linoleic acid (LA) and arachidonic acid (AA) were lower, while saturated fatty acid (SFA) and alpha-linolenic acid (ALA) levels were higher in GDM women at 18-22 weeks. Placental AA was lower (p < 0.05) in women with GDM. Placental protein levels of RvE1, RvD1 and RvD2 were lower (p < 0.001 for all) in the GDM group. The maternal delta 5 desaturase index was positively associated, while erythrocyte omega-3 and omega-6 fatty acids were negatively associated with RvE2 at 11-14 weeks. Placental LA and ALA were positively associated with RvD1 and RvD2 (p < 0.05, for both), respectively. Our findings suggest that the maternal fatty acid status influences pro-resolving mediators which may lead to increased inflammation in GDM.
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Affiliation(s)
- Nikita Joshi
- Mother and Child Health, ICMR-Collaborating Centre of Excellence (ICMR-CCoE), Interactive Research School for Health Affairs (IRSHA), Bharati Vidyapeeth (Deemed to be University), Pune- 411043, India.
| | - Anjali Jadhav
- Mother and Child Health, ICMR-Collaborating Centre of Excellence (ICMR-CCoE), Interactive Research School for Health Affairs (IRSHA), Bharati Vidyapeeth (Deemed to be University), Pune- 411043, India.
| | - Aditi Godhamgaonkar
- Mother and Child Health, ICMR-Collaborating Centre of Excellence (ICMR-CCoE), Interactive Research School for Health Affairs (IRSHA), Bharati Vidyapeeth (Deemed to be University), Pune- 411043, India.
| | - Deepali Sundrani
- Mother and Child Health, ICMR-Collaborating Centre of Excellence (ICMR-CCoE), Interactive Research School for Health Affairs (IRSHA), Bharati Vidyapeeth (Deemed to be University), Pune- 411043, India.
| | - Karuna Randhir
- Mother and Child Health, ICMR-Collaborating Centre of Excellence (ICMR-CCoE), Interactive Research School for Health Affairs (IRSHA), Bharati Vidyapeeth (Deemed to be University), Pune- 411043, India.
| | - Hemalata Pisal
- Mother and Child Health, ICMR-Collaborating Centre of Excellence (ICMR-CCoE), Interactive Research School for Health Affairs (IRSHA), Bharati Vidyapeeth (Deemed to be University), Pune- 411043, India.
| | - Girija Wagh
- Department of Obstetrics and Gynecology, Bharati Medical College and Hospital, Bharati Vidyapeeth University, Pune, India
| | - Ghattu Krishnaveni
- Epidemiology Research Unit, CSI Holdsworth Memorial Hospital, Mysore, India
| | | | - Sadhana Joshi
- Mother and Child Health, ICMR-Collaborating Centre of Excellence (ICMR-CCoE), Interactive Research School for Health Affairs (IRSHA), Bharati Vidyapeeth (Deemed to be University), Pune- 411043, India.
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11
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Liu X, Chen L, Li J, Holtermann A, Lu R, Birukov A, Weir NL, Tsai MY, Zhang C. Physical Activity and High-Sensitivity C-Reactive Protein in Pregnancy: Does It Matter during Leisure or Work? Med Sci Sports Exerc 2024; 56:110-117. [PMID: 38098149 DOI: 10.1249/mss.0000000000003287] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2023]
Abstract
INTRODUCTION Physical activity (PA), regardless of domain, is recommended for pregnant individuals in clinical guidelines, but limited evidence is available for work-related PA. This study aimed to examine the associations of occupational (OPA) and leisure-time PA (LTPA) with plasma high-sensitivity C-reactive protein (hs-CRP), a risk marker for adverse pregnancy outcomes, among pregnant individuals. METHODS This longitudinal study included 257 workers in the fetal growth cohort. OPA/LTPA and hs-CRP were measured in each trimester. OPA/LTPA was divided into high and low groups by the median level. Multivariable linear regressions were applied to estimate the adjusted geometric mean differences of hs-CRP (mg·L-1) comparing high versus low OPA/LTPA in each trimester and the changes in OPA/LTPA over pregnancy. RESULTS OPA was positively associated with hs-CRP (high: 5.14 vs low: 3.59; P value: 0.001) in the first trimester, particularly for standing/walking or walking fast, regardless of carrying things. LTPA was negatively associated with hs-CRP in the second (high: 3.93 vs low: 5.08; 0.02) and third trimesters (high: 3.30 vs low: 4.40; 0.046). Compared with the low OPA + high LTPA group, hs-CRP was higher in both the high OPA + high LTPA and high OPA + low LTPA groups in the first trimester, and in the high OPA + low LTPA group only in the third trimester. The change in OPA during pregnancy was positively associated with hs-CRP, whereas the change in LTPA was negatively associated with hs-CRP from the second to the third trimester. CONCLUSIONS In pregnant individuals, LTPA was negatively associated with hs-CRP, whereas OPA was positively associated with hs-CRP. More research on OPA's health impact among pregnant individuals is needed, and guidelines may consider the potential unfavorable influence of OPA on pregnant individuals.
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Affiliation(s)
- Xinyue Liu
- Department of Epidemiology, Fielding School of Public Health, University of California Los Angeles, Los Angeles, CA
| | - Liwei Chen
- Department of Epidemiology, Fielding School of Public Health, University of California Los Angeles, Los Angeles, CA
| | | | - Andreas Holtermann
- National Research Centre for the Working Environment, Copenhagen, DENMARK
| | - Ruijin Lu
- School of Medicine, Washington University in St. Louis, St. Louis, MO
| | - Anna Birukov
- Department of Nutrition, T.H. Chan School of Public Health, Harvard University, Boston, MA
| | - Natalie L Weir
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN
| | - Michael Y Tsai
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN
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12
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Li LJ, Nahar MN, Du R, Chan JKY, Tan JVK, Eriksson JG, Wong TY, Chan SY, Su LL, Chong YS, Zhang C. Preconception maternal retinal venular widening and steeper resistance increments in the utero-fetoplacental circulation in pregnancy. iScience 2023; 26:108535. [PMID: 38089571 PMCID: PMC10711460 DOI: 10.1016/j.isci.2023.108535] [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: 08/22/2023] [Revised: 10/07/2023] [Accepted: 11/20/2023] [Indexed: 01/03/2025] Open
Abstract
We investigated the relationship of preconception maternal retinal vasculature and utero-fetoplacental circulation in ensuing pregnancy. Embedded in a hospital-based, prospective preconception cohort, 396 women with a singleton live birth were included for analysis. We assessed retinal vascular caliber during preconception phase and retrieved ultrasonogram results documenting utero-fetoplacental circulatory indices using Doppler ultrasonography and documented them at 18-21 weeks, 24-28 weeks, and 32-34 weeks where available. We performed a modified Poisson regression to estimate the relative risk of utero-fetoplacental abnormalities, adjusting for major confounders including pre-pregnancy and blood pressure. Per 10 μm increment in maternal preconception retinal venules was associated with over two-fold risks in developing notching (Relative risk [RR]: 2.84; 95% confidence interval [CI]: 1.79, 4.81) and ≥95th percentile umbilical artery pulsatility index (2.36; 1.72, 3.23) during mid-to-late pregnancy, respectively. Women with preconception retinal venular widening tended to demonstrate steeper resistance increments in both maternal uterine arteries and fetal umbilical arteries during mid-to-late pregnancy.
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Affiliation(s)
- Ling-Jun Li
- Department of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Global Centre for Asian Women’s Health, Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- NUS Bia-Echo Asia Centre for Reproductive Longevity and Equality (ACRLE), Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
| | | | - Ruochen Du
- Biostatics Unit, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Jerry Kok Yen Chan
- Duke-NUS Medical School, Singapore, Singapore
- Department of Reproductive Medicine, KK Women’s and Children’s Hospital, Singapore, Singapore
| | - June Vic Khi Tan
- Department of Reproductive Medicine, KK Women’s and Children’s Hospital, Singapore, Singapore
| | - Johan G. Eriksson
- Department of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- NUS Bia-Echo Asia Centre for Reproductive Longevity and Equality (ACRLE), Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Human Potential Translational Research Programme (TRP), Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Folkhälsan Research Center, Helsinki, Finland
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A∗STAR), Singapore, Singapore
| | - Tien Yin Wong
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
| | - Shiao-Yng Chan
- Department of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A∗STAR), Singapore, Singapore
| | - Lin Lin Su
- Department of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Yap Seng Chong
- Department of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Global Centre for Asian Women’s Health, Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- NUS Bia-Echo Asia Centre for Reproductive Longevity and Equality (ACRLE), Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Cuilin Zhang
- Department of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Global Centre for Asian Women’s Health, Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- NUS Bia-Echo Asia Centre for Reproductive Longevity and Equality (ACRLE), Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, USA
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13
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da Silva ACR, Yadegari A, Tzaneva V, Vasanthan T, Laketic K, Shearer J, Bainbridge SA, Harris C, Adamo KB. Metabolomics to Understand Alterations Induced by Physical Activity during Pregnancy. Metabolites 2023; 13:1178. [PMID: 38132860 PMCID: PMC10745110 DOI: 10.3390/metabo13121178] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Revised: 11/20/2023] [Accepted: 11/27/2023] [Indexed: 12/23/2023] Open
Abstract
Physical activity (PA) and exercise have been associated with a reduced risk of cancer, obesity, and diabetes. In the context of pregnancy, maintaining an active lifestyle has been shown to decrease gestational weight gain (GWG) and lower the risk of gestational diabetes mellitus (GDM), hypertension, and macrosomia in offspring. The main pathways activated by PA include BCAAs, lipids, and bile acid metabolism, thereby improving insulin resistance in pregnant individuals. Despite these known benefits, the underlying metabolites and biological mechanisms affected by PA remain poorly understood, highlighting the need for further investigation. Metabolomics, a comprehensive study of metabolite classes, offers valuable insights into the widespread metabolic changes induced by PA. This narrative review focuses on PA metabolomics research using different analytical platforms to analyze pregnant individuals. Existing studies support the hypothesis that exercise behaviour can influence the metabolism of different populations, including pregnant individuals and their offspring. While PA has shown considerable promise in maintaining metabolic health in non-pregnant populations, our comprehension of metabolic changes in the context of a healthy pregnancy remains limited. As a result, further investigation is necessary to clarify the metabolic impact of PA within this unique group, often excluded from physiological research.
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Affiliation(s)
- Ana Carolina Rosa da Silva
- School of Human Kinetics, Faculty of Health Science, University of Ottawa, Ottawa, ON K1N 6N5, Canada; (A.C.R.d.S.)
| | - Anahita Yadegari
- School of Human Kinetics, Faculty of Health Science, University of Ottawa, Ottawa, ON K1N 6N5, Canada; (A.C.R.d.S.)
| | - Velislava Tzaneva
- School of Human Kinetics, Faculty of Health Science, University of Ottawa, Ottawa, ON K1N 6N5, Canada; (A.C.R.d.S.)
| | - Tarushika Vasanthan
- Department of Chemistry and Biology, Toronto Metropolitan University, Toronto, ON M5G 2A7, Canada
| | - Katarina Laketic
- Alberta Children’s Hospital Research Institute, Cumming School of Medicine, University of Calgary, Calgary, AB T2N 4N1, Canada
| | - Jane Shearer
- Department of Biochemistry and Molecular Biology, Faculty of Kinesiology, Cumming School of Medicine and Alberta Children’s Hospital Research Institute, University of Calgary, Calgary, AB T2N 1N4, Canada
| | - Shannon A. Bainbridge
- Interdisciplinary School of Health Sciences, Faculty of Health Sciences, Ottawa, ON K1N 6N5, Canada
- Department of Cellular and Molecular Medicine, Faculty of Medicine, University of Ottawa, Ottawa, ON K1H 8M5, Canada
| | - Cory Harris
- Department of Biology, University of Ottawa, Ottawa, ON K1N 6N5, Canada;
| | - Kristi B. Adamo
- School of Human Kinetics, Faculty of Health Science, University of Ottawa, Ottawa, ON K1N 6N5, Canada; (A.C.R.d.S.)
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14
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Joshi NP, Madiwale SD, Sundrani DP, Joshi SR. Fatty acids, inflammation and angiogenesis in women with gestational diabetes mellitus. Biochimie 2023; 212:31-40. [PMID: 37059350 DOI: 10.1016/j.biochi.2023.04.005] [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] [Received: 11/14/2022] [Revised: 03/01/2023] [Accepted: 04/11/2023] [Indexed: 04/16/2023]
Abstract
Gestational diabetes mellitus (GDM) is a metabolic disorder in pregnancy whose prevalence is on the rise. Reports suggest a likely association between inflammation and maternal GDM. A balance between pro and anti-inflammatory cytokines is necessary for the regulation of maternal inflammation system throughout pregnancy. Along with various inflammatory markers, fatty acids also act as pro-inflammatory molecules. However, studies reporting the role of inflammatory markers in GDM are contradictory, suggesting the need of more studies to better understand the role of inflammation in pregnancies complicated by GDM. Inflammatory response can be regulated by angiopoietins suggesting a link between inflammation and angiogenesis. Placental angiogenesis is a normal physiological process which is tightly regulated during pregnancy. Various pro and anti-angiogenic factors influence the regulation of the feto-placental vascular development. Studies evaluating the levels of angiogenic markers in women with GDM are limited and the findings are inconsistent. This review summarizes the available literature on fatty acids, inflammatory markers and angiogenesis in women with GDM. We also discuss the possible link between them and their influence on placental development in GDM.
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Affiliation(s)
- Nikita P Joshi
- Mother and Child Health, Interactive Research School for Health Affairs, Bharati Vidyapeeth University, Pune, India
| | - Shweta D Madiwale
- Mother and Child Health, Interactive Research School for Health Affairs, Bharati Vidyapeeth University, Pune, India
| | - Deepali P Sundrani
- Mother and Child Health, Interactive Research School for Health Affairs, Bharati Vidyapeeth University, Pune, India
| | - Sadhana R Joshi
- Mother and Child Health, Interactive Research School for Health Affairs, Bharati Vidyapeeth University, Pune, India.
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15
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Li LJ, Du R, Ouidir M, Lu R, Chen Z, Weir NL, Tsai MY, Albert PS, Zhang C. Early Pregnancy Maternal Plasma Phospholipid Saturated Fatty Acids and Fetal Growth: Findings from a Multi-Racial/Ethnic Birth Cohort in US. Nutrients 2023; 15:3287. [PMID: 37571228 PMCID: PMC10420908 DOI: 10.3390/nu15153287] [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: 06/05/2023] [Revised: 07/20/2023] [Accepted: 07/20/2023] [Indexed: 08/13/2023] Open
Abstract
Saturated fatty acids (SFAs) during pregnancy are associated with disrupted metabolic programming among offspring at birth and later growth. We examined plasma phospholipid SFAs in early pregnancy and fetal growth throughout pregnancy. We enrolled 321 pregnant women from the NICHD Fetal Growth Studies-Singleton Cohort at gestational weeks 8-13. Ultrasonogram schedules were randomly assigned to capture weekly fetal growth. We measured plasma phospholipid SFAs at early pregnancy using blood samples and modeled fetal growth trajectories across tertiles of SFAs with cubic splines using linear mixed models after full adjustment. We then compared pairwise weekly fetal growth biometrics referencing the lowest tertile in each SFA using the Wald test. We found that even-chain and very long even-chain SFAs were inversely associated, whereas odd-chain SFAs were positively associated with fetal weight and size. Compared with the lowest tertile, the highest tertile of pentadecanoic acid (15:0) had a greater fetal weight and size, starting from week 13 until late pregnancy (at week 39: 3429.89 vs. 3269.08 g for estimated fetal weight; 328.14 vs. 323.00 mm for head circumference). Our findings could inspire future interventions using an alternative high-fat diet rich in odd-chain SFAs for optimal fetal growth.
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Affiliation(s)
- Ling-Jun Li
- Department of O&G, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117575, Singapore;
- Global Centre for Asian Women’s Health, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117575, Singapore
- NUS Bia-Echo Asia Centre for Reproductive Longevity and Equality (ARCLE), Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117575, Singapore
- Human Potential Translation Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117575, Singapore
| | - Ruochen Du
- Biostatics Unit, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117575, Singapore;
| | - Marion Ouidir
- Institute for Advanced Biosciences, Grenoble Aples University, Site Santé, Allée des Alpes, 38700 La Tronche, France;
| | - Ruijin Lu
- Division of Biostatistics, School of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA;
| | - Zhen Chen
- Division of Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD 20892, USA;
| | - Natalie L. Weir
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN 55455, USA; (N.L.W.); (M.Y.T.)
| | - Michael Y. Tsai
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN 55455, USA; (N.L.W.); (M.Y.T.)
| | - Paul S. Albert
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA;
| | - Cuilin Zhang
- Department of O&G, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117575, Singapore;
- Global Centre for Asian Women’s Health, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117575, Singapore
- NUS Bia-Echo Asia Centre for Reproductive Longevity and Equality (ARCLE), Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117575, Singapore
- Human Potential Translation Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117575, Singapore
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16
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Jiang Y, Chen Y, Wei L, Zhang H, Zhang J, Zhou X, Zhu S, Du Y, Su R, Fang C, Ding W, Feng L. DHA supplementation and pregnancy complications. J Transl Med 2023; 21:394. [PMID: 37330569 PMCID: PMC10276458 DOI: 10.1186/s12967-023-04239-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Accepted: 05/31/2023] [Indexed: 06/19/2023] Open
Abstract
Docosahexaenoic acid (DHA) supplementation is recommended for women during pregnancy because of its neurological, visual, and cognitive effects. Previous studies have suggested that DHA supplementation during pregnancy may prevent and treat certain pregnancy complications. However, there are contradictions in the current related studies, and the specific mechanism by which DHA acts remains unclear. This review summarizes the research on the relationship between DHA intake during pregnancy and preeclampsia, gestational diabetes mellitus, preterm birth, intrauterine growth restriction, and postpartum depression. Furthermore, we explore the impact of DHA intake during pregnancy on the prediction, prevention, and treatment of pregnancy complications as well as its impact on offspring neurodevelopment. Our results suggest that there is limited and controversial evidence for the protective effect of DHA intake on pregnancy complications, with the exception of preterm birth and gestational diabetes mellitus. However, additional DHA supplementation may improve long-term neurodevelopmental outcomes in the offspring of women with pregnancy complications.
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Affiliation(s)
- Yi Jiang
- Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095, Jiefang Avenue, Wuhan, 430030, Hubei, China
| | - Yuting Chen
- Department of Obstetrics and Gynecology Ultrasound, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
| | - Lijie Wei
- Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095, Jiefang Avenue, Wuhan, 430030, Hubei, China
| | - Huiting Zhang
- Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095, Jiefang Avenue, Wuhan, 430030, Hubei, China
| | - Jingyi Zhang
- Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095, Jiefang Avenue, Wuhan, 430030, Hubei, China
| | - Xuan Zhou
- Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095, Jiefang Avenue, Wuhan, 430030, Hubei, China
| | - Shenglan Zhu
- Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095, Jiefang Avenue, Wuhan, 430030, Hubei, China
| | - Yuanyuan Du
- Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095, Jiefang Avenue, Wuhan, 430030, Hubei, China
| | - Rui Su
- Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095, Jiefang Avenue, Wuhan, 430030, Hubei, China
| | - Chenyun Fang
- Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095, Jiefang Avenue, Wuhan, 430030, Hubei, China
| | - Wencheng Ding
- Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095, Jiefang Avenue, Wuhan, 430030, Hubei, China.
| | - Ling Feng
- Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095, Jiefang Avenue, Wuhan, 430030, Hubei, China.
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Yang J, Wu J, Tekola-Ayele F, Li LJ, Bremer AA, Lu R, Rahman ML, Weir NL, Pang WW, Chen Z, Tsai MY, Zhang C. Plasma Amino Acids in Early Pregnancy and Midpregnancy and Their Interplay With Phospholipid Fatty Acids in Association With the Risk of Gestational Diabetes Mellitus: Results From a Longitudinal Prospective Cohort. Diabetes Care 2023; 46:722-732. [PMID: 36701229 PMCID: PMC10090921 DOI: 10.2337/dc22-1892] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Accepted: 12/29/2022] [Indexed: 01/27/2023]
Abstract
OBJECTIVE We prospectively evaluated plasma amino acids (AAs) in early pregnancy and midpregnancy and their interplay with phospholipid fatty acids (FAs) in association with gestational diabetes mellitus (GDM) risk. RESEARCH DESIGN AND METHODS From a longitudinal pregnancy cohort of 2,802 individuals, concentrations of 24 plasma AAs at 10-14 and 15-26 gestational weeks (GW) were assessed among 107 GDM case subjects and 214 non-GDM control subjects. We estimated adjusted odds ratios (OR) and 95% CI for the associations of plasma AAs and the joint associations of plasma AAs and phospholipid FAs with GDM risk, adjusting for risk factors including age, prepregnancy BMI, and family history of diabetes. RESULTS Glycine at 10-14 GW was inversely associated with GDM (adjusted OR [95% CI] per SD increment: 0.55 [0.39-0.79]). Alanine, aspartic acid, and glutamic acid at 10-14 GW were positively associated with GDM (1.43 [1.08-1.88], 1.41 [1.11-1.80], and 1.39 [0.98-1.98]). At 15-26 GW, findings for glycine, alanine, aspartic acid, and the glutamine-to-glutamic acid ratio were consistent with the directions observed at 10-14 GW. Isoleucine, phenylalanine, and tyrosine were positively associated with GDM (1.64 [1.19-2.27], 1.15 [0.87-1.53], and 1.56 [1.16-2.09]). All P values for linear trend were <0.05. Several AAs and phospholipid FAs were significantly and jointly associated with GDM. For instance, the lowest risk was observed among women with higher glycine and lower even-chain saturated FAs at 10-14 GW (adjusted OR [95% CI] 0.15 [0.06, 0.37]). CONCLUSIONS Plasma AAs may be implicated in GDM development starting in early pregnancy. Associations of AAs with GDM may be enhanced in the copresence of phospholipid FA profile.
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Affiliation(s)
- Jiaxi Yang
- Global Centre for Asian Women’s Health, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Bia-Echo Asia Centre for Reproductive Longevity & Equality, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Jing Wu
- Division of Population Health Research, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD
| | - Fasil Tekola-Ayele
- Division of Population Health Research, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD
| | - Ling-Jun Li
- Global Centre for Asian Women’s Health, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Bia-Echo Asia Centre for Reproductive Longevity & Equality, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Andrew A. Bremer
- Division of Extramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD
| | - Ruijin Lu
- Division of Biostatistics, School of Medicine, Washington University in St. Louis, St. Louis, MO
| | - Mohammad L. Rahman
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD
| | - Natalie L. Weir
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN
| | - Wei Wei Pang
- Global Centre for Asian Women’s Health, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Bia-Echo Asia Centre for Reproductive Longevity & Equality, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Zhen Chen
- Division of Population Health Research, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD
| | - Michael Y. Tsai
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN
| | - Cuilin Zhang
- Global Centre for Asian Women’s Health, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Bia-Echo Asia Centre for Reproductive Longevity & Equality, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
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18
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Li LJ, Wang X, Chong YS, Chan JKY, Tan KH, Eriksson JG, Huang Z, Rahman ML, Cui L, Zhang C. Exploring preconception signatures of metabolites in mothers with gestational diabetes mellitus using a non-targeted approach. BMC Med 2023; 21:99. [PMID: 36927416 PMCID: PMC10022116 DOI: 10.1186/s12916-023-02819-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Accepted: 03/06/2023] [Indexed: 03/18/2023] Open
Abstract
BACKGROUND Metabolomic changes during pregnancy have been suggested to underlie the etiology of gestational diabetes mellitus (GDM). However, research on metabolites during preconception is lacking. Therefore, this study aimed to investigate distinctive metabolites during the preconception phase between GDM and non-GDM controls in a nested case-control study in Singapore. METHODS Within a Singapore preconception cohort, we included 33 Chinese pregnant women diagnosed with GDM according to the IADPSG criteria between 24 and 28 weeks of gestation. We then matched them with 33 non-GDM Chinese women by age and pre-pregnancy body mass index (ppBMI) within the same cohort. We performed a non-targeted metabolomics approach using fasting serum samples collected within 12 months prior to conception. We used generalized linear mixed model to identify metabolites associated with GDM at preconception after adjusting for maternal age and ppBMI. After annotation and multiple testing, we explored the additional predictive value of novel signatures of preconception metabolites in terms of GDM diagnosis. RESULTS A total of 57 metabolites were significantly associated with GDM, and eight phosphatidylethanolamines were annotated using HMDB. After multiple testing corrections and sensitivity analysis, phosphatidylethanolamines 36:4 (mean difference β: 0.07; 95% CI: 0.02, 0.11) and 38:6 (β: 0.06; 0.004, 0.11) remained significantly higher in GDM subjects, compared with non-GDM controls. With all preconception signals of phosphatidylethanolamines in addition to traditional risk factors (e.g., maternal age and ppBMI), the predictive value measured by area under the curve (AUC) increased from 0.620 to 0.843. CONCLUSIONS Our data identified distinctive signatures of GDM-associated preconception phosphatidylethanolamines, which is of potential value to understand the etiology of GDM as early as in the preconception phase. Future studies with larger sample sizes among alternative populations are warranted to validate the associations of these signatures of metabolites and their predictive value in GDM.
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Affiliation(s)
- Ling-Jun Li
- Global Centre for Asian Women's Health, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
- NUS Bia-Echo Asia Centre for Reproductive Longevity and Equality (ACRLE), Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
| | - Ximeng Wang
- Global Health Research Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, China
- Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, China
| | - Yap Seng Chong
- Global Centre for Asian Women's Health, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- NUS Bia-Echo Asia Centre for Reproductive Longevity and Equality (ACRLE), Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Jerry Kok Yen Chan
- Duke-NUS Medical School, Singapore, Singapore
- KK Women's and Children's Hospital, Singapore, Singapore
| | - Kok Hian Tan
- Duke-NUS Medical School, Singapore, Singapore
- KK Women's and Children's Hospital, Singapore, Singapore
| | - Johan G Eriksson
- Global Centre for Asian Women's Health, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Department of General Practice and Primary Health Care, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Folkhälsan Research Center, Helsinki, Finland
- Agency for Science, Technology and Research (A*STAR), Singapore Institute for Clinical Sciences (SICS), Singapore, Singapore
| | - Zhongwei Huang
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- NUS Bia-Echo Asia Centre for Reproductive Longevity and Equality (ACRLE), Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Institute of Molecular and Cell Biology, Agency of Science, Technology and Research, Singapore, Singapore
| | - Mohammad L Rahman
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Liang Cui
- Antimicrobial Resistance Interdisciplinary Research Group, Singapore-MIT Alliance for Research and Technology, Singapore, Singapore
| | - Cuilin Zhang
- Global Centre for Asian Women's Health, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- NUS Bia-Echo Asia Centre for Reproductive Longevity and Equality (ACRLE), Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
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19
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Chen L, Dai J, Fei Z, Liu X, Zhu Y, Rahman ML, Lu R, Mitro SD, Yang J, Hinkle SN, Chen Z, Song Y, Zhang C. Metabolomic biomarkers of the mediterranean diet in pregnant individuals: A prospective study. Clin Nutr 2023; 42:384-393. [PMID: 36753781 PMCID: PMC10029322 DOI: 10.1016/j.clnu.2023.01.011] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Revised: 12/14/2022] [Accepted: 01/08/2023] [Indexed: 01/15/2023]
Abstract
BACKGROUND AND AIMS Metabolomic profiling is a systematic approach to identifying biomarkers for dietary patterns. Yet, metabolomic markers for dietary patterns in pregnant individuals have not been investigated. The aim of this study was to identify plasma metabolomic markers and metabolite panels that are associated with the Mediterranean diet in pregnant individuals. METHODS This is a prospective study of 186 pregnant individuals who had both dietary intake and metabolomic profiles measured from the Fetal Growth Studies-Singletons cohort. Dietary intakes during the peri-conception/1st trimester and the second trimester were accessed at 8-13 and 16-22 weeks of gestation, respectively. Adherence to the Mediterranean diet was measured by the alternate Mediterranean Diet (aMED) score. Fasting plasma samples were collected at 16-22 weeks and untargeted metabolomics profiling was performed using the mass spectrometry-based platforms. Metabolites individually or jointly associated with aMED scores were identified using linear regression and least absolute shrinkage and selection operator (LASSO) regression models with adjustment for potential confounders, respectively. RESULTS Among 459 annotated metabolites, 64 and 41 were individually associated with the aMED scores of the diet during the peri-conception/1st trimester and during the second trimester, respectively. Fourteen metabolites were associated with the Mediterranean diet in both time windows. Most Mediterranean diet-related metabolites were lipids (e.g., acylcarnitine, cholesteryl esters (CEs), linoleic acid, long-chain triglycerides (TGs), and phosphatidylcholines (PCs), amino acids, and sugar alcohols. LASSO regressions also identified a 10 metabolite-panel that were jointly associated with aMED score of the diet during the peri-conception/1st trimester (AUC: 0.74; 95% CI: 0.57, 0.91) and a 3 metabolites-panel in the 2nd trimester (AUC: 0.68; 95% CI: 0.50, 0.86). CONCLUSION We identified plasma metabolomic markers for the Mediterranean diet among pregnant individuals. Some of them have also been reported in previous studies among non-pregnant populations, whereas others are novel. The results from our study warrant replication in pregnant individuals by future studies. CLINICAL TRIAL REGISTRATION NUMBER This study was registered at ClinicalTrials.gov.
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Affiliation(s)
- Liwei Chen
- Department of Epidemiology, Fielding School of Public Health, University of California Los Angeles, Los Angeles, CA, 90095, USA.
| | - Jin Dai
- Department of Epidemiology, Fielding School of Public Health, University of California Los Angeles, Los Angeles, CA, 90095, USA.
| | - Zhe Fei
- Department of Biostatistics, Fielding School of Public Health, University of California Los Angeles, Los Angeles, CA, 90095, USA.
| | - Xinyue Liu
- Department of Epidemiology, Fielding School of Public Health, University of California Los Angeles, Los Angeles, CA, 90095, USA.
| | - Yeyi Zhu
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, 94612, USA.
| | - Mohammad L Rahman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA.
| | - Ruijin Lu
- Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institute of Health, Bethesda, MD, USA.
| | - Susanna D Mitro
- Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institute of Health, Bethesda, MD, USA.
| | - Jiaxi Yang
- Global Center for Asian Women's Health, and Bia-Echo Asia Centre for Reproductive Longevity & Equality, Yong Loo Lin School of Medicine, National University of Singapore, 117549, Singapore; Department of Obstetrics and Gynecology, Yong Loo Lin School of Medicine, National University of Singapore, 119228, Singapore.
| | - Stefanie N Hinkle
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
| | - Zhen Chen
- Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institute of Health, Bethesda, MD, USA.
| | - Yiqing Song
- Department of Epidemiology, Indiana University Richard M. Fairbanks School of Public Health, Indianapolis, IN, USA.
| | - Cuilin Zhang
- Global Center for Asian Women's Health, and Bia-Echo Asia Centre for Reproductive Longevity & Equality, Yong Loo Lin School of Medicine, National University of Singapore, 117549, Singapore; Department of Obstetrics and Gynecology, Yong Loo Lin School of Medicine, National University of Singapore, 119228, Singapore.
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20
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Abstract
PURPOSE OF REVIEW Epidemiological and mechanistic studies have reported relationships between blood lipids, mostly measured by traditional method in clinical settings, and gestational diabetes mellitus (GDM). Recent advances of high-throughput lipidomics techniques have made available more comprehensive lipid profiling in biological samples. This review aims to summarize evidence from prospective studies in assessing relations between blood lipids and GDM, and discuss potential underlying mechanisms. RECENT FINDINGS Mass spectrometry and nuclear magnetic resonance spectroscopy-based analytical platforms are extensively used in lipidomics research. Epidemiological studies have identified multiple novel lipidomic biomarkers that are associated with risk of GDM, such as certain types of fatty acids, glycerolipids, glycerophospholipids, sphingolipids, cholesterol, and lipoproteins. However, the findings are inconclusive mainly due to the heterogeneities in study populations, sample sizes, and analytical platforms. Mechanistic evidence indicates that abnormal lipid metabolism may be involved in the pathogenesis of GDM by impairing pancreatic β-cells and inducing insulin resistance through several etiologic pathways, such as inflammation and oxidative stress. SUMMARY Lipidomics is a powerful tool to study pathogenesis and biomarkers for GDM. Lipidomic biomarkers and pathways could help to identify women at high risk for GDM and could be potential targets for early prevention and intervention of GDM.
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Affiliation(s)
- Yi Wang
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Xiong-Fei Pan
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, West China Second University Hospital, Sichuan University
- Shuangliu Institute of Women's and Children's Health, Shuangliu Maternal and Child Health Hospital, Chengdu, China
| | - An Pan
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan
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21
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Tsoi KY, Zhu Y, Wu J, Sun Q, Hinkle SN, Li LJ, Chen Z, Weir NL, Tsai MY, Ma RC, Zhang C. Plasma Phospholipid Monounsaturated Fatty Acids and Gestational Diabetes Mellitus: A Longitudinal Study in the NICHD Fetal Growth Studies-Singletons Cohort. Diabetes 2022; 71:2707-2715. [PMID: 36095049 PMCID: PMC9750941 DOI: 10.2337/db22-0241] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Accepted: 09/06/2022] [Indexed: 01/25/2023]
Abstract
Fatty acids (FAs) have been implicated in the development of gestational diabetes mellitus (GDM), but the role of monounsaturated FAs (MUFAs) remains understudied. We investigated the associations of plasma phospholipid MUFAs in early to mid-pregnancy with cardiometabolic biomarkers and GDM risk. From the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) Fetal Growth Studies-Singletons cohort (2009-2013), we identified 107 women with GDM according to Carpenter and Coustan criteria and 214 control participants without GDM matched (2:1) on age, race/ethnicity, and gestational week (GW) of blood collection. MUFAs were measured at 10-14, 15-26, 23-31, and 33-39 GWs by gas chromatography mass spectrometry. We found that the concentration of total 18:1 MUFAs was significantly lower among women with GDM than those without GDM at 15-26 GWs. Each SD increment in the level of total 18:1 MUFAs was associated with a 40% lower risk of GDM at 15-26 GWs. Moreover, each SD increment in vaccenic acid (18:1n-7) levels at 10-14 and 15-26 GWs were associated with a 36% and 45% lower risk of GDM, respectively. Our extensive assessments of MUFAs advance our understanding of the unique associations of FA composition with GDM risk, suggesting the potentially beneficial role of MUFAs in GDM pathophysiology.
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Affiliation(s)
- Kit Ying Tsoi
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China
| | - Yeyi Zhu
- Division of Research, Kaiser Permanente Northern California, Oakland, CA
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA
| | - Jing Wu
- Glotech, Inc., Rockville, MD
| | - Qi Sun
- Departments of Nutrition and Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA
| | - Stefanie N. Hinkle
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Ling-Jun Li
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Bia-Echo Asia Centre for Reproductive Longevity and Equality (ACRLE), Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Global Center for Asian Women’s Health, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Zhen Chen
- Division of Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD
| | - Natalie L. Weir
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN
| | - Michael Y. Tsai
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN
| | - Ronald C.W. Ma
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong, China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong, China
| | - Cuilin Zhang
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Bia-Echo Asia Centre for Reproductive Longevity and Equality (ACRLE), Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Global Center for Asian Women’s Health, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Division of Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD
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22
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Fuller H, Iles M, Moore JB, Zulyniak MA. Unique Metabolic Profiles Associate with Gestational Diabetes and Ethnicity in Low- and High-Risk Women Living in the UK. J Nutr 2022; 152:2186-2197. [PMID: 35883228 PMCID: PMC9535440 DOI: 10.1093/jn/nxac163] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Revised: 04/28/2022] [Accepted: 07/20/2022] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND Gestational diabetes mellitus (GDM) is the most common global pregnancy complication; however, prevalence varies substantially between ethnicities, with South Asians (SAs) experiencing up to 3 times the risk of the disease compared with white Europeans (WEs). Factors driving this discrepancy are unclear, although the metabolome is of great interest as GDM is known to be characterized by metabolic dysregulation. OBJECTIVES The primary aim was to characterize and compare the metabolic profiles of GDM in SA and WE women (at <28 wk of gestation) from the Born in Bradford (BIB) prospective birth cohort in the United Kingdom. METHODS In total, 146 fasting serum metabolites, from 2,668 pregnant WE and 2,671 pregnant SA women (average BMI 26.2 kg/m2, average age 27.3 y) were analyzed using partial least squares discriminatory analyses to characterize GDM status. Linear associations between metabolite values and post-oral glucose tolerance test measures of dysglycemia (fasting glucose and 2 h postglucose) were also examined. RESULTS Seven metabolites associated with GDM status in both ethnicities (variable importance in projection ≥1), whereas 6 additional metabolites associated with GDM only in WE women. Unique metabolic profiles were observed in healthy-weight women who later developed GDM, with distinct metabolite patterns identified by ethnicity and BMI status. Of the metabolite values analyzed in relation to dysglycemia, lactate, histidine, apolipoprotein A1, HDL cholesterol, and HDL2 cholesterol associated with decreased glucose concentration, whereas DHA and the diameter of very low-density lipoprotein particles (nm) associated with increased glucose concertation in WE women, and in SAs, albumin alone associated with decreased glucose concentration. CONCLUSIONS This study shows that the metabolic risk profile for GDM differs between WE and SA women enrolled in BiB in the United Kingdom. This suggests that etiology of the disease differs between ethnic groups and that ethnic-appropriate prevention strategies may be beneficial.
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Affiliation(s)
- Harriett Fuller
- Nutritional Epidemiology Group, School of Food Science and Nutrition, University of Leeds, Leeds, UK
| | - Mark Iles
- Leeds Institute of Medical Research, University of Leeds, Leeds, UK
- Leeds Institute for Data Analytics, University of Leeds, Leeds, UK
| | - J Bernadette Moore
- Nutritional Epidemiology Group, School of Food Science and Nutrition, University of Leeds, Leeds, UK
| | - Michael A Zulyniak
- Nutritional Epidemiology Group, School of Food Science and Nutrition, University of Leeds, Leeds, UK
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23
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Lu W, Hu C. Molecular biomarkers for gestational diabetes mellitus and postpartum diabetes. Chin Med J (Engl) 2022; 135:1940-1951. [PMID: 36148588 PMCID: PMC9746787 DOI: 10.1097/cm9.0000000000002160] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2021] [Indexed: 11/25/2022] Open
Abstract
ABSTRACT Gestational diabetes mellitus (GDM) is a growing public health problem worldwide that threatens both maternal and fetal health. Identifying individuals at high risk for GDM and diabetes after GDM is particularly useful for early intervention and prevention of disease progression. In the last decades, a number of studies have used metabolomics, genomics, and proteomic approaches to investigate associations between biomolecules and GDM progression. These studies clearly demonstrate that various biomarkers reflect pathological changes in GDM. The established markers have potential use as screening and diagnostic tools in GDM and in postpartum diabetes research. In the present review, we summarize recent studies of metabolites, single-nucleotide polymorphisms, microRNAs, and proteins associated with GDM and its transition to postpartum diabetes, with a focus on their predictive value in screening and diagnosis.
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Affiliation(s)
- Wenqian Lu
- Shanghai Diabetes Institute, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai 200233, China
- The Third School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong 510630, China
- Department of Endocrinology and Metabolism, Fengxian Central Hospital Affiliated to the Southern Medical University, Shanghai 201400, China
| | - Cheng Hu
- Shanghai Diabetes Institute, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai 200233, China
- The Third School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong 510630, China
- Department of Endocrinology and Metabolism, Fengxian Central Hospital Affiliated to the Southern Medical University, Shanghai 201400, China
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24
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Luo M, Guo J, Lu W, Fang X, Zhang R, Tang M, Luo Q, Liang W, Yu X, Hu C. The mediating role of maternal metabolites between lipids and adverse pregnancy outcomes of gestational diabetes mellitus. Front Med (Lausanne) 2022; 9:925602. [PMID: 36035400 PMCID: PMC9400014 DOI: 10.3389/fmed.2022.925602] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Accepted: 07/12/2022] [Indexed: 11/27/2022] Open
Abstract
Gestational diabetes mellitus (GDM) is one of the most common complications of pregnancy, and the demographics of pregnant women have changed in recent decades. GDM is a metabolic disease with short- and long-term adverse effects on both pregnant women and newborns. The metabolic changes and corresponding risk factors should be of great significance in understanding the pathological mechanism of GDM and reducing the incidence of adverse pregnancy outcomes in patients with GDM. The well-known GDM-associated lipids used in clinical tests, such as triglyceride (TG), are thought to play a major role in metabolic changes during GDM, which have a potential causal relationship with abnormal pregnancy outcomes of GDM. Therefore, this study analyzed the relationship between clinical lipid indicators, metabolic profiles, and abnormal pregnancy outcomes in GDM through mediation analysis. By constructing a metabolic atlas of 399 samples from GDM patients in different trimesters, we efficiently detected the key metabolites of adverse pregnancy outcomes and their mediating roles in bridging abnormal lipids and adverse pregnancy outcomes in patients with GDM. Our study confirmed that TG and total cholesterol were independent risk factors for adverse pregnancy outcomes in patients with GDM. Several key metabolites as mediators (e.g., gamma-linolenic acid, heptadecanoic acid, oleic acid, palmitic acid, and palmitoleic acid) have been identified as potential biomarkers for adverse pregnancy outcomes in patients with GDM. These metabolites mainly participate in the biosynthesis of unsaturated fatty acids, which may shed new light on the pathology of GDM and provide insights for further exploration of the molecular mechanisms underlying adverse pregnancy outcomes.
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Affiliation(s)
- Mingjuan Luo
- Department of Endocrinology and Metabolism, University of Hong Kong-Shenzhen Hospital, Shenzhen, China
- The Third School of Clinical Medicine, Southern Medical University, Guangzhou, China
- Department of Endocrinology and Metabolism, Fengxian Central Hospital Affiliated to the Southern Medical University, Shanghai, China
| | - Jingyi Guo
- Clinical Research Center, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
| | - Wenqian Lu
- The Third School of Clinical Medicine, Southern Medical University, Guangzhou, China
- Department of Endocrinology and Metabolism, Fengxian Central Hospital Affiliated to the Southern Medical University, Shanghai, China
| | - Xiangnan Fang
- The Third School of Clinical Medicine, Southern Medical University, Guangzhou, China
- Department of Endocrinology and Metabolism, Fengxian Central Hospital Affiliated to the Southern Medical University, Shanghai, China
- Department of Endocrinology, First Affiliated Hospital of Gannan Medical University, Ganzhou, China
| | - Rong Zhang
- Shanghai Diabetes Institute, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
| | - Mengyang Tang
- The Third School of Clinical Medicine, Southern Medical University, Guangzhou, China
- Department of Endocrinology and Metabolism, Fengxian Central Hospital Affiliated to the Southern Medical University, Shanghai, China
| | - Qiong Luo
- Department of Obstetrics and Gynecology, University of Hong Kong-Shenzhen Hospital, Shenzhen, China
| | - Wei Liang
- Department of Endocrinology and Metabolism, University of Hong Kong-Shenzhen Hospital, Shenzhen, China
| | - Xiangtian Yu
- Clinical Research Center, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
- *Correspondence: Xiangtian Yu
| | - Cheng Hu
- Department of Endocrinology and Metabolism, Fengxian Central Hospital Affiliated to the Southern Medical University, Shanghai, China
- Shanghai Diabetes Institute, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
- Cheng Hu
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Li LJ, Wu J, Chen Z, Weir NL, Tsai MY, Albert P, Zhang C. Plasma phospholipid polyunsaturated fatty acids composition in early pregnancy and fetal growth trajectories throughout pregnancy: Findings from the US fetal growth studies-singletons cohort. EBioMedicine 2022; 82:104180. [PMID: 35853297 PMCID: PMC9294651 DOI: 10.1016/j.ebiom.2022.104180] [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: 03/10/2022] [Revised: 07/04/2022] [Accepted: 07/05/2022] [Indexed: 12/26/2022] Open
Abstract
Background We aimed to investigate plasma phospholipid PUFA levels in early pregnancy and fetal growth trajectories throughout pregnancy. Methods Within the NICHD Fetal Growth Studies–Singleton Cohort, we enrolled 2,802 pregnant women at gestational weeks 8–13 and randomly assigned them to four ultrasonogram schedules to capture weekly fetal growth throughout pregnancy. Eleven plasma phospholipid PUFAs were measured at early pregnancy using blood samples collected from a subsample of 321 pregnant women. We modeled fetal growth trajectories across tertiles of PUFAs with cubic splines using linear mixed models after adjusting for major confounders. We then compared pairwise weekly fetal growth biometrics referencing the lowest tertile in each PUFA using the Wald test. Findings Among plasma n-3 PUFAs in early pregnancy, docosahexaenoic acid (DHA, 22:6n3) and alpha-linolenic acid (ALA, 18:3n3) showed positive associations with all fetal growth measurements. For instance, compared with the lowest tertile, the highest tertile of DHA had greater estimated fetal growth (EFW) and abdominal circumference (AC), starting at 13 weeks of gestation and throughout pregnancy (at gestational week 38: 3235.3 vs. 3089.0 g for EFW; 344.6 vs. 339.2 mm for AC). As for plasma n-6 PUFAs, some showed positive associations (e.g., linoleic acid [LA], 18:2n6) while others (e.g., docosatetraenoic acid [DTA], 22:4n6) showed inverse associations with fetal growth measures. Interpretation Our data suggested that higher plasma levels of DHA and ALA in the first trimester were associated with increased fetal size and weight throughout subsequent pregnancy. Funding National Institute of Child Health and Human Development intramural funding.
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Affiliation(s)
- Ling-Jun Li
- Department of O&G, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Global Centre for Asian Women's Health, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; NUS Bia-Echo Asia Centre for Reproductive Longevity and Equality (ACRLE), Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Jing Wu
- Glotech Inc., Bethesda, Maryland, USA
| | - Zhen Chen
- Division of Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland, USA
| | - Natalie L Weir
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, Minnesota, USA
| | - Michael Y Tsai
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, Minnesota, USA
| | - Paul Albert
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Cuilin Zhang
- Department of O&G, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Global Centre for Asian Women's Health, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; NUS Bia-Echo Asia Centre for Reproductive Longevity and Equality (ACRLE), Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Division of Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland, USA.
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26
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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: 1.0] [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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Li P, Hu S, Zhu Y, Sun T, Huang Y, Xu Z, Liu H, Luo C, Zhou S, Tan A, Liu L. Associations of Plasma Fatty Acid Patterns During Pregnancy With Gestational Diabetes Mellitus. Front Nutr 2022; 9:836115. [PMID: 35600822 PMCID: PMC9121815 DOI: 10.3389/fnut.2022.836115] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Accepted: 02/15/2022] [Indexed: 11/21/2022] Open
Abstract
Background Limited studies have explored the difference of fatty acid profile between women with and without gestational diabetes mellitus (GDM), and the results were inconsistent. Individual fatty acids tend to be interrelated because of the shared food sources and metabolic pathways. Thus, whether fatty acid patters during pregnancy were related to GDM odds needs further exploration. Objective To identify plasma fatty acid patters during pregnancy and their associations with odds of GDM. Methods A hospital-based case-control study including 217 GDM cases and 217 matched controls was carried out in urban Wuhan, China from August 2012 to April 2015. All the participants were enrolled at the time of GDM screening and provided fasting blood samples with informed consent. We measured plasma concentrations of fatty acids by gas chromatography-mass spectrometry, and derived potential fatty acid patterns (FAPs) through principal components analysis. Conditional logistic regression and restricted cubic spline model were used to evaluate the associations between individual fatty acids or FAPs and odds of GDM. Results Twenty individual fatty acids with relative concentrations ≥0.05% were included in the analyses. Compared with control group, GDM group had significantly higher concentrations of total fatty acids, 24:1n-9, and relatively lower levels of 14:0, 15:0, 17:0, 18:0, 24:0, 16:1n-7, 20:1n-9,18:3n-6, 20:2n-6, 18:3n-3, 20:3n-3, 22:5n-3. Two novel patterns of fatty acids were identified to be associated with lower odds of GDM: (1) relatively higher odd-chain fatty acids, 14:0, 18:0, 18:3n-3, 20:2n-6, 20:3n-6 and lower 24:1n-9 and 18:2n-6 [adjusted odds ratio (OR) (95% confidence interval) (CI) for quartiles 4 vs. 1: 0.42 (0.23-0.76), P-trend = 0.002], (2) relatively higher n-3 polyunsaturated fatty acids, 24:0, 18:3n-6 and lower 16:0 and 20:4n-6 [adjusted OR (95% CI) for quartiles 4 vs. 1: 0.48 (0.26-0.90), P-trend = 0.018]. Conclusion Our findings suggested that two novel FAPs were inversely associated with GDM odds. The combination of circulating fatty acids could be a more significant marker of GDM development than individual fatty acids or their subgroups.
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Affiliation(s)
- Peiyun 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
- The Ministry of Education 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, Wuhan Children’s Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Shan Hu
- 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
- The Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yalun Zhu
- 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
- The Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Taoping Sun
- 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
- The Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yue 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
- The Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zihui Xu
- 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
- The Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Hongjie Liu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- The Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Cheng Luo
- 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
- The Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Shiqiong Zhou
- Department of Clinical Nutrition, Wuhan Children’s Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Aijun Tan
- Zhuhai Center for Disease Control and Prevention, Zhuhai, China
| | - Liegang Liu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- The 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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Peng ML, Zhang Z, Zhou M, He C, Xiao L, Yin H, Zhao K. Identification of differential metabolites using untargeted metabolomics between gestational diabetes and normal pregnant women. Int J Gynaecol Obstet 2022; 159:903-911. [PMID: 35514238 DOI: 10.1002/ijgo.14253] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2021] [Revised: 02/26/2022] [Accepted: 05/03/2022] [Indexed: 11/08/2022]
Abstract
OBJECTIVE To study the metabonomics differences between pregnant women with gestational diabetes mellitus (GDM) in the third trimester and those in a group without GDM by screening a group of highly efficient and sensitive markers for GDM and validating previously published early metabolic markers of GDM. METHODS A cross-sectional cohort study based on ultra performance liquid chromatography tandem mass spectrometry untargeted metabolomics analysis of serum samples collected from 59 pregnant women with GDM and 59 pregnant women without GDM. RESULTS A total of 121 metabolites were detected, and 27 were identified as differential metabolites between GDM and control. The combination of 27 metabolic peaks had area under curve (AUC) values of 0.90, 0.92, and 0.93 in the prediction models using support vector machine, partial least squares, and random forest, respectively. Finally, five metabolite biomarkers were selected to construct logistic regression models: L-valine, hypoxanthine, eicosapentaenoic acid, 2-amino-1,3,4-octadecanotriol, and choline. The AUC value of these metabolites was 0.769 between the GDM group and the control group. CONCLUSIONS The discovery of a group of differential metabolites in pregnant women with GDM in the third trimester and in pregnant women without GDM may facilitate the study of the pathologic mechanism of GDM; it may be possible to find an efficient and sensitive alternative GDM detection method.
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Affiliation(s)
- Mei Lin Peng
- Institute of Reproductive Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zheng Zhang
- Central China Normal University, School of Life Sciences, Wuhan, China.,Wuhan Prevention and Treatment Center for Occupational Diseases, Wuhan, China
| | - Minqi Zhou
- Institute of Reproductive Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Chao He
- Institute of Reproductive Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Lin Xiao
- Institute of Reproductive Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Heng Yin
- Department of Obstetrics, Maternal and Child Health Hospital of Hubei Province, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Kai Zhao
- Institute of Reproductive Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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29
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Umbilical cord blood metabolomics: association with intrauterine hyperglycemia. Pediatr Res 2022; 91:1530-1535. [PMID: 33980991 DOI: 10.1038/s41390-021-01516-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/23/2020] [Revised: 03/11/2021] [Accepted: 03/20/2021] [Indexed: 11/08/2022]
Abstract
BACKGROUND Intrauterine hyperglycemia can harm a fetus's growth and development, and this can be seen in the umbilical cord blood metabolism disorder. However, the metabolites and metabolic mechanisms involved in the condition remain unknown. METHODS Targeted metabolomics using liquid chromatography and MetaboAnalyst were conducted in this study to explore differences in metabolites and metabolic pathways between individuals with hyperglycemia or well-controlled gestational diabetes mellitus (GDM) and healthy controls. RESULTS Univariate analysis found that the hyperglycemic and healthy control groups differed in 30 metabolites, while the well-controlled GDM and the healthy control groups differed only in three metabolites-ursodeoxycholic acid, docosahexaenoic acid, and 8,11,14-eicosatrienoic acid. Most of these metabolic variations were negatively associated with neonatal weights. Further research showed that the variations in the metabolites were primarily associated with the metabolic pathways of linoleic acid (LA) and alpha-linolenic acid (ALA). CONCLUSION Gestational hyperglycemia and well-controlled GDM, which may play a major role by inhibiting the LA and ALA metabolic pathways, have detrimental effects on cord blood metabolism. IMPACT The main point of this paper is that intrauterine hyperglycemia has a negative effect on cord blood metabolism mainly through the linoleic acid and alpha-linolenic acid metabolic pathways. This is a study to report a new association between well-controlled GDM and cord blood metabolism. This study provides a possible explanation for the association between intrauterine hyperglycemia and neonatal adverse birth outcomes.
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Longitudinal Associations of Plasma Phospholipid Fatty Acids in Pregnancy with Neonatal Anthropometry: Results from the NICHD Fetal Growth Studies-Singleton Cohort. Nutrients 2022; 14:nu14030592. [PMID: 35276951 PMCID: PMC8840515 DOI: 10.3390/nu14030592] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2022] [Revised: 01/25/2022] [Accepted: 01/27/2022] [Indexed: 11/17/2022] Open
Abstract
Despite increasing interest in the health effects of polyunsaturated FAs (PUFAs), their roles in fetal and neonatal growth remain understudied. Within the NICHD Fetal Growth Studies—Singleton Cohort, we prospectively investigated the associations of individual and subclasses of plasma phospholipid PUFAs at gestational weeks (GW) 10−14, 15−26, 23−31, and 33−39 with neonatal anthropometric measures as surrogates for fetal growth among 107 women with gestational diabetes mellitus (GDM) and 214 non-GDM controls. Multivariable weighted linear regression models estimated the associations between plasma phospholipid PUFAs and neonatal anthropometric measures. Adjusted beta coefficients for phospholipid docosahexaenoic acid (DHA) per standard deviation (SD) increase at GW 23−31 in association with birthweight z-score, neonatal length, and neonatal fat mass were 0.25 (95% CI: 0.08−0.41), 0.57 (0.11−1.03) cm, and 54.99 (23.57−86.42) g, respectively; all false discovery rates (FDRs) < 0.05. Estimated Δ5-desaturase activity per SD increase at GW 33−39 but not at other time points was positively associated with birthweight z-score: 0.29 (95% CI: 0.08−0.33); neonatal length: 0.61 (0.29−0.94) cm; and neonatal fat mass: 32.59 (8.21−56.96) g; all FDRs < 0.05. Longitudinal analysis showed consistent results. Our findings suggest that mid-to-late pregnancy presented as critical windows for primarily diet-derived DHA and Δ5-desaturase activity in relation to neonatal anthropometric measures.
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Pantaleão LC, Inzani I, Furse S, Loche E, Hufnagel A, Ashmore T, Blackmore HL, Jenkins B, Carpenter AAM, Wilczynska A, Bushell M, Koulman A, Fernandez-Twinn DS, Ozanne SE. Maternal diet-induced obesity during pregnancy alters lipid supply to mouse E18.5 fetuses and changes the cardiac tissue lipidome in a sex-dependent manner. eLife 2022; 11:e69078. [PMID: 35025731 PMCID: PMC8794468 DOI: 10.7554/elife.69078] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2021] [Accepted: 01/12/2022] [Indexed: 11/22/2022] Open
Abstract
Maternal obesity during pregnancy has immediate and long-term detrimental effects on the offspring heart. In this study, we characterized the cardiac and circulatory lipid profiles in late gestation E18.5 fetuses of diet-induced obese pregnant mice and established the changes in lipid abundance and fetal cardiac transcriptomics. We used untargeted and targeted lipidomics and transcriptomics to define changes in the serum and cardiac lipid composition and fatty acid metabolism in male and female fetuses. From these analyses we observed: (1) maternal obesity affects the maternal and fetal serum lipidome distinctly; (2) female fetal heart lipidomes are more sensitive to maternal obesity than males; (3) changes in lipid supply might contribute to early expression of lipolytic genes in mouse hearts exposed to maternal obesity. These results highlight the existence of sexually dimorphic responses of the fetal heart to the same in utero obesogenic environment and identify lipids species that might mediate programming of cardiovascular health.
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Affiliation(s)
- Lucas C Pantaleão
- Wellcome-MRC Institute of Metabolic Science and Medical Research Council Metabolic Diseases Unit, University of Cambridge, Addenbrooke’s HospitalCambridgeUnited Kingdom
| | - Isabella Inzani
- Wellcome-MRC Institute of Metabolic Science and Medical Research Council Metabolic Diseases Unit, University of Cambridge, Addenbrooke’s HospitalCambridgeUnited Kingdom
| | - Samuel Furse
- Wellcome-MRC Institute of Metabolic Science and Medical Research Council Metabolic Diseases Unit, University of Cambridge, Addenbrooke’s HospitalCambridgeUnited Kingdom
- Core Metabolomics and Lipidomics Laboratory, Wellcome-MRC Institute of Metabolic Science, University of Cambridge, Addenbrooke’s Treatment CentreCambridgeUnited Kingdom
| | - Elena Loche
- Wellcome-MRC Institute of Metabolic Science and Medical Research Council Metabolic Diseases Unit, University of Cambridge, Addenbrooke’s HospitalCambridgeUnited Kingdom
| | - Antonia Hufnagel
- Wellcome-MRC Institute of Metabolic Science and Medical Research Council Metabolic Diseases Unit, University of Cambridge, Addenbrooke’s HospitalCambridgeUnited Kingdom
| | - Thomas Ashmore
- Wellcome-MRC Institute of Metabolic Science and Medical Research Council Metabolic Diseases Unit, University of Cambridge, Addenbrooke’s HospitalCambridgeUnited Kingdom
| | - Heather L Blackmore
- Wellcome-MRC Institute of Metabolic Science and Medical Research Council Metabolic Diseases Unit, University of Cambridge, Addenbrooke’s HospitalCambridgeUnited Kingdom
| | - Benjamin Jenkins
- Wellcome-MRC Institute of Metabolic Science and Medical Research Council Metabolic Diseases Unit, University of Cambridge, Addenbrooke’s HospitalCambridgeUnited Kingdom
- Core Metabolomics and Lipidomics Laboratory, Wellcome-MRC Institute of Metabolic Science, University of Cambridge, Addenbrooke’s Treatment CentreCambridgeUnited Kingdom
| | - Asha A M Carpenter
- Wellcome-MRC Institute of Metabolic Science and Medical Research Council Metabolic Diseases Unit, University of Cambridge, Addenbrooke’s HospitalCambridgeUnited Kingdom
| | - Ania Wilczynska
- Cancer Research UK Beatson InstituteGlasgowUnited Kingdom
- Institute of Cancer Sciences, University of GlasgowGlasgowUnited Kingdom
| | - Martin Bushell
- Cancer Research UK Beatson InstituteGlasgowUnited Kingdom
- Institute of Cancer Sciences, University of GlasgowGlasgowUnited Kingdom
| | - Albert Koulman
- Wellcome-MRC Institute of Metabolic Science and Medical Research Council Metabolic Diseases Unit, University of Cambridge, Addenbrooke’s HospitalCambridgeUnited Kingdom
- Core Metabolomics and Lipidomics Laboratory, Wellcome-MRC Institute of Metabolic Science, University of Cambridge, Addenbrooke’s Treatment CentreCambridgeUnited Kingdom
| | - Denise S Fernandez-Twinn
- Wellcome-MRC Institute of Metabolic Science and Medical Research Council Metabolic Diseases Unit, University of Cambridge, Addenbrooke’s HospitalCambridgeUnited Kingdom
| | - Susan E Ozanne
- Wellcome-MRC Institute of Metabolic Science and Medical Research Council Metabolic Diseases Unit, University of Cambridge, Addenbrooke’s HospitalCambridgeUnited Kingdom
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Mauro AK, Rengarajan A, Albright C, Boeldt DS. Fatty acids in normal and pathological pregnancies. Mol Cell Endocrinol 2022; 539:111466. [PMID: 34610360 DOI: 10.1016/j.mce.2021.111466] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/10/2021] [Revised: 09/26/2021] [Accepted: 09/28/2021] [Indexed: 12/26/2022]
Abstract
Long chain fatty acids, namely omega-3 and omega-6, are essential fatty acids and are necessary for proper pregnancy progression and fetal growth and development. Maternal fatty acid consumption and release of fatty acids from lipid stores provide increased availability of fatty acids for the placenta to transport to the growing fetus. Both omega-3 and omega-6 fatty acids are then utilized for generation of signaling molecules, such as eicosanoids, and for promoting of growth and developmental, most notably in the nervous system. Perturbations in fatty acid concentration and fatty acid signaling have been implicated in three major pregnancy complications - gestational diabetes, preeclampsia, and preterm birth. In this review we discuss the growing literature surrounding the role of fatty acids in normal and pathological pregnancies. Differences in maternal, placental, and fetal fatty acids and molecular regulation of fatty acid signaling and transport are presented. A look into novel fatty acid-based therapies for each of the highlighted disorders are discussed, and may present exciting bench to bedside alternatives to traditional pharmacological intervention.
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Affiliation(s)
- Amanda K Mauro
- Perinatal Research Laboratories, Department of Obstetrics & Gynecology, University of Wisconsin - Madison, School Medicine and Public Health, Madison, WI, 53715, USA
| | - Aishwarya Rengarajan
- Perinatal Research Laboratories, Department of Obstetrics & Gynecology, University of Wisconsin - Madison, School Medicine and Public Health, Madison, WI, 53715, USA
| | - Carly Albright
- Perinatal Research Laboratories, Department of Obstetrics & Gynecology, University of Wisconsin - Madison, School Medicine and Public Health, Madison, WI, 53715, USA
| | - Derek S Boeldt
- Perinatal Research Laboratories, Department of Obstetrics & Gynecology, University of Wisconsin - Madison, School Medicine and Public Health, Madison, WI, 53715, USA.
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Liu J, Li J, Li W, Li N, Huo X, Wang H, Leng J, Yu Z, Ma RCW, Hu G, Fang Z, Yang X. Predictive values of serum metabolites in early pregnancy and their possible pathways for gestational diabetes: A nested case-control study in Tianjin, China. J Diabetes Complications 2021; 35:108048. [PMID: 34563440 DOI: 10.1016/j.jdiacomp.2021.108048] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/13/2021] [Revised: 09/13/2021] [Accepted: 09/14/2021] [Indexed: 11/26/2022]
Abstract
AIMS To investigate the associations and predictive values of serum metabolites in early pregnancy for later development of gestational diabetes mellitus (GDM), and further explore their metabolic pathways to GDM. METHODS We conducted a 1:1 nested case-control study including 486 pregnant women from Tianjin, China, and collected blood samples at their first registration (median at 10th gestational week). Liquid chromatography-tandem mass spectrometry was used to measure serum metabolites. Orthogonal partial least squares discriminant analysis was used to select specific metabolites associated with GDM, and pathway analysis was used to identify the metabolic pathways related to GDM. RESULTS A total of 64 serum metabolites were included in this analysis, 17 of which were identified as specific metabolites associated with GDM. Ten metabolites increased and seven metabolites decreased GDM risk. Inclusion of these specific metabolites to the model of traditional risk factors greatly increased the predictive value from 0.69 (95% confidence interval: 0.64-0.74) to 0.92 (0.90-0.95). In addition, we found that glycerophospholipid metabolism, sphingolipid metabolism and primary bile acid biosynthesis were main metabolic pathways related to GDM. CONCLUSION We identified a set of serum metabolites and their metabolic pathways in early pregnancy associated with GDM, which provided a theoretical basis for further research on the molecular pathways to GDM and early identification of GDM.
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Affiliation(s)
- Jinnan Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University & Tianjin Key Laboratory of Environment, Nutrition and Population Health, Tianjin 300070, China
| | - Jing Li
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University & Tianjin Key Laboratory of Environment, Nutrition and Population Health, Tianjin 300070, China
| | - Weiqin Li
- Project Office, Tianjin Women and Children's Health Center, Tianjin 300070, China
| | - Ninghua Li
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University & Tianjin Key Laboratory of Environment, Nutrition and Population Health, Tianjin 300070, China
| | - Xiaoxu Huo
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University & Tianjin Key Laboratory of Environment, Nutrition and Population Health, Tianjin 300070, China
| | - Hui Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University & Tianjin Key Laboratory of Environment, Nutrition and Population Health, Tianjin 300070, China
| | - Junhong Leng
- Project Office, Tianjin Women and Children's Health Center, Tianjin 300070, China
| | - Zhijie Yu
- Population Cancer Research Program and Department of Pediatrics, Dalhousie University, Halifax 15000, Canada
| | - Ronald C W Ma
- Department of Medicine and Therapeutics and Li Ka Shing Institute of Health Sciences, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong 999077, China
| | - Gang Hu
- Chronic Disease Epidemiology Laboratory, Pennington Biomedical Research Center, Baton Rouge, LA 70808, USA
| | - Zhongze Fang
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Tianjin Medical University & Tianjin Key Laboratory of Environment, Nutrition and Population Health, Tianjin 300070, China.
| | - Xilin Yang
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University & Tianjin Key Laboratory of Environment, Nutrition and Population Health, Tianjin 300070, China.
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Li L, Zhu Y, Wu J, Hinkle SN, Tobias DK, Ma RCW, Weir NL, Tsai MY, Zhang C. Changes of Plasma Phospholipid Fatty Acids Profiles in Pregnancy in Relation to the Diagnosis and Treatment of Gestational Diabetes Mellitus. Clin Chem 2021; 67:1660-1675. [PMID: 34632496 DOI: 10.1093/clinchem/hvab169] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2021] [Accepted: 07/21/2021] [Indexed: 12/16/2022]
Abstract
BACKGROUND Plasma phospholipid fatty acids (FAs) in early and mid-pregnancy have been prospectively related to gestational diabetes mellitus (GDM) risk. Yet, changes of FAs following GDM diagnosis and treatment and their implications for glucose metabolism and control remain understudied. METHODS From the Eunice Kennedy Shriver National Institute Child Health and Human Development Fetal Growth Studies-Singleton Cohort of 2802 pregnant women, we ascertained 85 GDM cases using the Carpenter and Coustan criteria and 85 non-GDM controls after exclusion. Using plasma collected before (23-31 weeks) and after GDM diagnosis (33-39 weeks), we quantified 25 saturated, poly- and monounsaturated FAs levels. We estimated the fold change of FAs before and after GDM diagnosis, using multiple linear mixed models adjusting for confounders. RESULTS Eight FAs showed significant fold changes from the baseline values (23-31 weeks) among GDM cases as compared to women without GDM. Five FAs showed reduced fold changes [myristic acid (14:0): β: -0.22 (95% CI: -0.30, -0.14), palmitic acid (16:0): β: -0.02 (95% CI: -0.04, -0.01), cis-palmitoleic acid (16:1n7): β: -0.15 (95% CI: -0.24, -0.05), alpha-linolenic acid (18:3n3): β: -0.19 (95% CI: -0.31, -0.07], and dihomo-gamma-linoleic acid (20:3n6): β:-0.16; 95% CI: -0.21, -0.11)], whereas 3 showed increases [heptadecanoic acid (17:0): β: 0.17 (95% CI: 0.11, 0.22), cis-vaccenic acid (18:1n7): β: 0.06 (95% CI: 0.03, 0.10), and arachidonic acid (20:4n6): β: 0.10 (95% CI: 0.06, 0.13)]. CONCLUSIONS Our study identified 8 FAs with unique patterns of change before and after GDM diagnosis that differed significantly between women with and without GDM. Our findings may shed light on the role of FA metabolism in the pathophysiology and disease management and progression of GDM. CLINICAL TRIAL REGISTRY NCT00912132.
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Affiliation(s)
- Lingjun Li
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Yeyi Zhu
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA.,Department of Epidemiology & Biostatistics, University of California, San Francisco, CA, USA
| | - Jing Wu
- Glotech Inc., Bethesda, MD, USA
| | - Stefanie N Hinkle
- Epidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, USA
| | - Deirdre K Tobias
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.,Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Ronald C W Ma
- Division of Endocrinology & Diabetes, Department of Medicine & Therapeutics, The Chinese University of Hong Kong, Hong Kong, China
| | - Natalie L Weir
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, USA
| | - Michael Y Tsai
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, USA
| | - Cuilin Zhang
- Epidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, USA
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35
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Longitudinal Plasma Metabolomics Profile in Pregnancy-A Study in an Ethnically Diverse U.S. Pregnancy Cohort. Nutrients 2021; 13:nu13093080. [PMID: 34578958 PMCID: PMC8471130 DOI: 10.3390/nu13093080] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2021] [Revised: 08/30/2021] [Accepted: 08/30/2021] [Indexed: 12/30/2022] Open
Abstract
Amino acids, fatty acids, and acylcarnitine metabolites play a pivotal role in maternal and fetal health, but profiles of these metabolites over pregnancy are not completely established. We described longitudinal trajectories of targeted amino acids, fatty acids, and acylcarnitines in pregnancy. We quantified 102 metabolites and combinations (37 fatty acids, 37 amino acids, and 28 acylcarnitines) in plasma samples from pregnant women in the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) Fetal Growth Studies—Singletons cohort (n = 214 women at 10–14 and 15–26 weeks, 107 at 26–31 weeks, and 103 at 33–39 weeks). We used linear mixed models to estimate metabolite trajectories and examined variation by body mass index (BMI), race/ethnicity, and fetal sex. After excluding largely undetected metabolites, we analyzed 77 metabolites and combinations. Levels of 13 of 15 acylcarnitines, 7 of 25 amino acids, and 18 of 37 fatty acids significantly declined over gestation, while 8 of 25 amino acids and 10 of 37 fatty acids significantly increased. Several trajectories appeared to differ by BMI, race/ethnicity, and fetal sex although no tests for interactions remained significant after multiple testing correction. Future studies merit longitudinal measurements to capture metabolite changes in pregnancy, and larger samples to examine modifying effects of maternal and fetal characteristics.
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Hai-Tao Y, Zhi-Heng G, Yi-Ru C, Yue-Ting L, Hai-Ying Z, Ya-Juan L, Lin X. Gestational diabetes mellitus decreased umbilical cord blood polyunsaturated fatty acids: a meta-analysis of observational studies. Prostaglandins Leukot Essent Fatty Acids 2021; 171:102318. [PMID: 34246926 DOI: 10.1016/j.plefa.2021.102318] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/18/2021] [Revised: 06/21/2021] [Accepted: 06/25/2021] [Indexed: 12/28/2022]
Abstract
BACKGROUND Polyunsaturated fatty acid (PUFA) is important for the development of the fetal brain, and the retina. Gestational diabetes mellitus (GDM) may influence maternal and fetal fatty acid metabolism, in turn affecting fetal growth and development. In several studies, maternal and fetal PUFA metabolic differences have been reported between mothers with and without GDM, but not in other studies. Thus, the aim of this meta-analysis (registration number: CRD42020220448) was to compare levels of linoleic acid (LA), α-linolenic acid (ALA), arachidonic acid (AA), docosahexaenoic acid (DHA), and total n-3 and n-6 PUFA between mothers with and without GMD and their fetuses. METHODS We performed a meta-analysis of observational studies on maternal and fetal fatty acid metabolism, published until May 2021. In addition, we performed subgroup analysis depending on the analyzed tissues (plasma/serum, erythrocyte membrane, or placenta) and the expression modes of fatty acids (concentration or percentage). RESULTS We included 24 observational studies involving 4335 maternal datasets and 12 studies involving 1675 fetal datasets in the meta-analysis. Levels of AA, DHA, and n-6 and n-3 PUFA were lower in the cord blood of mothers with GDM than in controls (P < 0.05). Compared to that in controls, in erythrocyte membranes, the percentages of AA, DHA, and n-6 and n-3 PUFA in total fatty acid were lower in mothers with GDM (P < 0.05), but in plasma/serum, the percentages of AA, DHA, and n-6 PUFA in total fatty acid were higher in mothers with GDM (P < 0.05). CONCLUSIONS GDM appears to influence the transfer of PUFAs from mothers to fetuses. The percentage of PUFAs in maternal plasma/serum was higher, and that in erythrocyte membranes was lower in mothers with GDM compared to those with normal glucose tolerance.
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Affiliation(s)
- Yu Hai-Tao
- Department of Nutrition and Food Hygiene, School of Public Health, Jilin University, No.1163 Xinmin Street, Changchun,Jilin Province, 130021, China
| | - Guo Zhi-Heng
- Department of Obstetrics, The First Hospital of Jilin University, Changchun city, Jilin Province,130021, China
| | - Chen Yi-Ru
- Department of Nutrition and Food Hygiene, School of Public Health, Jilin University, No.1163 Xinmin Street, Changchun,Jilin Province, 130021, China
| | - Li Yue-Ting
- Department of Nutrition and Food Hygiene, School of Public Health, Jilin University, No.1163 Xinmin Street, Changchun,Jilin Province, 130021, China
| | - Zhang Hai-Ying
- Experimental Teaching Center for Radiation Medicine, School of Public Health, Jilin University, Changchun city, Jilin Province,130021, China
| | - Liu Ya-Juan
- Department of Nutrition and Food Hygiene, School of Public Health, Jilin University, No.1163 Xinmin Street, Changchun,Jilin Province, 130021, China
| | - Xie Lin
- Department of Nutrition and Food Hygiene, School of Public Health, Jilin University, No.1163 Xinmin Street, Changchun,Jilin Province, 130021, China.
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Tryggvadottir EA, Gunnarsdottir I, Birgisdottir BE, Hrolfsdottir L, Landberg R, Hreidarsdottir IT, Hardardottir H, Halldorsson TI. Early pregnancy plasma fatty acid profiles of women later diagnosed with gestational diabetes. BMJ Open Diabetes Res Care 2021; 9:e002326. [PMID: 34348919 PMCID: PMC8340288 DOI: 10.1136/bmjdrc-2021-002326] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/12/2021] [Accepted: 07/04/2021] [Indexed: 12/14/2022] Open
Abstract
INTRODUCTION Fatty acid (FA) concentrations have previously been associated with gestational diabetes mellitus (GDM). However, few studies on GDM have examined FA profiles in early pregnancy or before diagnosis. This study aimed to compare early pregnancy plasma FA profiles of women with and without GDM diagnoses as well as their reported dietary consumption. RESEARCH DESIGN AND METHODS The subjects comprised 853 women from the prospective study: Pregnant Women in Iceland II (PREWICE II), attending their 11-14 weeks ultrasound appointment in 2017-2018. During the visit, blood samples were collected for plasma FA analysis, and dietary habits were assessed using a short food frequency questionnaire. Information on GDM diagnoses was then later extracted from medical records. Differences in FA profile between GDM cases and non-cases were evaluated using the Mann-Whitney U test. RESULTS GDM was diagnosed in 127 women (14.9%). Concentrations of saturated fatty acids, monounsaturated fatty acids, polyunsaturated fatty acids (PUFA) n-6, PUFA n-3 and total FA were higher in the women who later developed GDM compared with those who did not (p≤0.05). The medians for total FA were 2898 μg/mL for the women with GDM and 2681 μg/mL for those without GDM. Mean adjusted difference for total FA between the groups was 133 μg/mL (95% CI 33 to 233). Similar results were observed in prepregnancy normal-weight women and overweight women/women with obesity. Overall diet quality in early pregnancy appeared to be lower among the women later diagnosed with GDM. CONCLUSION We found that plasma FA profiles in early pregnancy were different for women later diagnosed with GDM compared with those who were not, independent of the women's body mass index.
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Affiliation(s)
- Ellen Alma Tryggvadottir
- Faculty of Food Science and Nutrition, University of Iceland, Reykjavik, Iceland
- Unit for Nutrition Research, Landspitali University Hospital, Reykjavík, Iceland
| | - Ingibjorg Gunnarsdottir
- Faculty of Food Science and Nutrition, University of Iceland, Reykjavik, Iceland
- Unit for Nutrition Research, Landspitali University Hospital, Reykjavík, Iceland
| | - Bryndis Eva Birgisdottir
- Faculty of Food Science and Nutrition, University of Iceland, Reykjavik, Iceland
- Unit for Nutrition Research, Landspitali University Hospital, Reykjavík, Iceland
| | - Laufey Hrolfsdottir
- Faculty of Food Science and Nutrition, University of Iceland, Reykjavik, Iceland
- Department of Education and Science, Akureyri Hospital, Akureyri, Iceland
| | - Rikard Landberg
- Biology and Biological Engineering, Chalmers University of Technology, Goteborg, Sweden
| | - Ingibjorg Th Hreidarsdottir
- Department of Obstetrics and Gynecology, Landspítali University Hospital, Reykjavík, Iceland
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | | | - Thorhallur Ingi Halldorsson
- Faculty of Food Science and Nutrition, University of Iceland, Reykjavik, Iceland
- Unit for Nutrition Research, Landspitali University Hospital, Reykjavík, Iceland
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Hosseinkhani S, Dehghanbanadaki H, Aazami H, Pasalar P, Asadi M, Razi F. Association of circulating omega 3, 6 and 9 fatty acids with gestational diabetes mellitus: a systematic review. BMC Endocr Disord 2021; 21:120. [PMID: 34130655 PMCID: PMC8207652 DOI: 10.1186/s12902-021-00783-w] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/27/2020] [Accepted: 06/07/2021] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Gestational diabetes mellitus (GDM) is associated with increased risks of disease for mother and child during pregnancy and after that. Early diagnosis of GDM would promote both maternal and fetal health. Metabolomics can simplify and develop our understanding of the etiology, manifestation, or pathophysiology of the disease. This systematic review investigates the association of circulating omega 3, 6, and 9 fatty acids with GDM. METHODS We conducted a systematic search of PubMed, Scopus, Web of Science, and EMBASE databases up to May 8, 2020, using the key term combinations of all types of omega fatty acids with gestational diabetes mellitus. Additional articles were identified through searching the reference lists of included studies. RESULTS This systematic review included 15 articles. Five were cohort studies, four included nested case-control studies and four were case-control studies. The results of this study demonstrate an increasing trend in the amount of oleic acid and palmitoleic acid in the second trimester and an increase in decosahexanoic acid in the third trimester of GDM mothers. The changes in other fatty acids of interest are either not significant or if significant, their results are inconsistent with the other existing articles. CONCLUSIONS Omega fatty acids, as potential biomarkers, are considered to be associated with GDM risk and thus provide useful information regarding the prevention and early diagnosis of GDM. Moreover, existing metabolomic studies on GDM are shown to provide conflicting results about metabolite profile characteristics. This systematic review was registered at PROSPERO ( www.crd.york.ac.uk/PROSPERO ) as CRD42020196122.
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Affiliation(s)
- Shaghayegh Hosseinkhani
- Department of Clinical Biochemistry, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Hojat Dehghanbanadaki
- Metabolomics and Genomics Research Center, Endocrinology and Metabolism Molecular-Cellular Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Hossein Aazami
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Parvin Pasalar
- Department of Clinical Biochemistry, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Mojgan Asadi
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Farideh Razi
- Metabolomics and Genomics Research Center, Endocrinology and Metabolism Molecular-Cellular Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
- Diabetes Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
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Gázquez A, Giménez-Bañón MJ, Prieto-Sánchez MT, Martínez-Graciá C, Suárez C, Santaella-Pascual M, Galdo-Castiñeira L, Ballesteros-Meseguer C, Vioque J, Martínez-Villanueva M, Avilés-Plaza F, Noguera-Velasco JA, Morales E, García-Marcos L, Larqué E. Self-Reported DHA Supplementation during Pregnancy and Its Association with Obesity or Gestational Diabetes in Relation to DHA Concentration in Cord and Maternal Plasma: Results from NELA, a Prospective Mother-Offspring Cohort. Nutrients 2021; 13:843. [PMID: 33806689 PMCID: PMC8000695 DOI: 10.3390/nu13030843] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2021] [Revised: 02/26/2021] [Accepted: 02/28/2021] [Indexed: 12/19/2022] Open
Abstract
Maternal supplementation of docosahexaenoic acid (DHA) during pregnancy has been recommended due to its role in infant development, but its effect on materno-fetal DHA status is not well established. We evaluated the associations between DHA supplementation in pregnant women with obesity or gestational diabetes mellitus (GDM) and maternal and neonatal DHA status. Serum fatty acids (FA) were analyzed in 641 pregnant women (24 weeks of gestation) and in 345 venous and 166 arterial cord blood samples of participants of the NELA cohort. Obese women (n = 47) presented lower DHA in serum than those lean (n = 397) or overweight (n = 116) before pregnancy. Linoleic acid in arterial cord was elevated in obese women, which indicates lower fetal retention. Maternal DHA supplementation (200 mg/d) during pregnancy was associated with enhanced maternal and fetal DHA levels regardless of pre-pregnancy body mass index (BMI), although higher arterial DHA in overweight women indicated an attenuated response. Maternal DHA supplementation was not associated with cord venous DHA in neonates of mothers with GDM. The cord arteriovenous difference was similar for DHA between GDM and controls. In conclusion, maternal DHA supplementation during pregnancy enhanced fetal DHA status regardless of the pre-pregnancy BMI while GDM may reduce the effect of DHA supplementation in newborns.
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Affiliation(s)
- Antonio Gázquez
- Biomedical Research Institute of Murcia (IMIB-Arrixaca), 30120 Murcia, Spain; (A.G.); (M.J.G.-B.); (M.T.P.-S.); (C.M.-G.); (C.S.); (M.S.-P.); (M.M.-V.); (F.A.-P.); (J.A.N.-V.); (E.M.); (L.G.-M.)
- Department of Physiology, University of Murcia, 30100 Murcia, Spain
| | - María J. Giménez-Bañón
- Biomedical Research Institute of Murcia (IMIB-Arrixaca), 30120 Murcia, Spain; (A.G.); (M.J.G.-B.); (M.T.P.-S.); (C.M.-G.); (C.S.); (M.S.-P.); (M.M.-V.); (F.A.-P.); (J.A.N.-V.); (E.M.); (L.G.-M.)
- Department of Physiology, University of Murcia, 30100 Murcia, Spain
| | - María T. Prieto-Sánchez
- Biomedical Research Institute of Murcia (IMIB-Arrixaca), 30120 Murcia, Spain; (A.G.); (M.J.G.-B.); (M.T.P.-S.); (C.M.-G.); (C.S.); (M.S.-P.); (M.M.-V.); (F.A.-P.); (J.A.N.-V.); (E.M.); (L.G.-M.)
- Obstetrics & Gynaecology Service, “Virgen de la Arrixaca” University Clinical Hospital, University of Murcia, 30120 Murcia, Spain; (L.G.-C.); (C.B.-M.)
| | - Carmen Martínez-Graciá
- Biomedical Research Institute of Murcia (IMIB-Arrixaca), 30120 Murcia, Spain; (A.G.); (M.J.G.-B.); (M.T.P.-S.); (C.M.-G.); (C.S.); (M.S.-P.); (M.M.-V.); (F.A.-P.); (J.A.N.-V.); (E.M.); (L.G.-M.)
- Food Science and Technology Department, Faculty of Veterinary, University of Murcia, 30100 Murcia, Spain
| | - Clara Suárez
- Biomedical Research Institute of Murcia (IMIB-Arrixaca), 30120 Murcia, Spain; (A.G.); (M.J.G.-B.); (M.T.P.-S.); (C.M.-G.); (C.S.); (M.S.-P.); (M.M.-V.); (F.A.-P.); (J.A.N.-V.); (E.M.); (L.G.-M.)
- Food Science and Technology Department, Faculty of Veterinary, University of Murcia, 30100 Murcia, Spain
| | - Marina Santaella-Pascual
- Biomedical Research Institute of Murcia (IMIB-Arrixaca), 30120 Murcia, Spain; (A.G.); (M.J.G.-B.); (M.T.P.-S.); (C.M.-G.); (C.S.); (M.S.-P.); (M.M.-V.); (F.A.-P.); (J.A.N.-V.); (E.M.); (L.G.-M.)
- Food Science and Technology Department, Faculty of Veterinary, University of Murcia, 30100 Murcia, Spain
| | - Lina Galdo-Castiñeira
- Obstetrics & Gynaecology Service, “Virgen de la Arrixaca” University Clinical Hospital, University of Murcia, 30120 Murcia, Spain; (L.G.-C.); (C.B.-M.)
| | - Carmen Ballesteros-Meseguer
- Obstetrics & Gynaecology Service, “Virgen de la Arrixaca” University Clinical Hospital, University of Murcia, 30120 Murcia, Spain; (L.G.-C.); (C.B.-M.)
| | - Jesús Vioque
- Health and Biomedical Research Institute of Alicante (ISABIAL-UMH), 46020 Alicante, Spain;
- CIBER Epidemiology and Public Health (CIBERESP), 28029 Madrid, Spain
| | - Miriam Martínez-Villanueva
- Biomedical Research Institute of Murcia (IMIB-Arrixaca), 30120 Murcia, Spain; (A.G.); (M.J.G.-B.); (M.T.P.-S.); (C.M.-G.); (C.S.); (M.S.-P.); (M.M.-V.); (F.A.-P.); (J.A.N.-V.); (E.M.); (L.G.-M.)
- Molecular Therapy and Biomarkers Research Group, Clinical Analysis Service, University Clinical Hospital “Virgen de la Arrixaca”, University of Murcia, 30120 Murcia, Spain
| | - Francisco Avilés-Plaza
- Biomedical Research Institute of Murcia (IMIB-Arrixaca), 30120 Murcia, Spain; (A.G.); (M.J.G.-B.); (M.T.P.-S.); (C.M.-G.); (C.S.); (M.S.-P.); (M.M.-V.); (F.A.-P.); (J.A.N.-V.); (E.M.); (L.G.-M.)
- Molecular Therapy and Biomarkers Research Group, Clinical Analysis Service, University Clinical Hospital “Virgen de la Arrixaca”, University of Murcia, 30120 Murcia, Spain
| | - José A. Noguera-Velasco
- Biomedical Research Institute of Murcia (IMIB-Arrixaca), 30120 Murcia, Spain; (A.G.); (M.J.G.-B.); (M.T.P.-S.); (C.M.-G.); (C.S.); (M.S.-P.); (M.M.-V.); (F.A.-P.); (J.A.N.-V.); (E.M.); (L.G.-M.)
- Molecular Therapy and Biomarkers Research Group, Clinical Analysis Service, University Clinical Hospital “Virgen de la Arrixaca”, University of Murcia, 30120 Murcia, Spain
| | - Eva Morales
- Biomedical Research Institute of Murcia (IMIB-Arrixaca), 30120 Murcia, Spain; (A.G.); (M.J.G.-B.); (M.T.P.-S.); (C.M.-G.); (C.S.); (M.S.-P.); (M.M.-V.); (F.A.-P.); (J.A.N.-V.); (E.M.); (L.G.-M.)
- Department of Public Health Sciences, University of Murcia, 30100 Murcia, Spain
| | - Luís García-Marcos
- Biomedical Research Institute of Murcia (IMIB-Arrixaca), 30120 Murcia, Spain; (A.G.); (M.J.G.-B.); (M.T.P.-S.); (C.M.-G.); (C.S.); (M.S.-P.); (M.M.-V.); (F.A.-P.); (J.A.N.-V.); (E.M.); (L.G.-M.)
- Network of Asthma and Adverse and Allergic Reactions (ARADyAL), 28029 Madrid, Spain
| | - Elvira Larqué
- Biomedical Research Institute of Murcia (IMIB-Arrixaca), 30120 Murcia, Spain; (A.G.); (M.J.G.-B.); (M.T.P.-S.); (C.M.-G.); (C.S.); (M.S.-P.); (M.M.-V.); (F.A.-P.); (J.A.N.-V.); (E.M.); (L.G.-M.)
- Department of Physiology, University of Murcia, 30100 Murcia, Spain
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Zhang Z, Wu Y, Zhong C, Zhou X, Liu C, Li Q, Chen R, Gao Q, Li X, Zhang H, Zhang Y, Cui W, Hao L, Wei S, Yang X, Yang N. Association between dietary inflammatory index and gestational diabetes mellitus risk in a prospective birth cohort study. Nutrition 2021; 87-88:111193. [PMID: 33774421 DOI: 10.1016/j.nut.2021.111193] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2020] [Revised: 01/12/2021] [Accepted: 02/03/2021] [Indexed: 12/16/2022]
Abstract
OBJECTIVE Information is limited regarding the possible relationship between diet-related inflammation and the risk of gestational diabetes mellitus (GDM). This study investigated the association between the inflammatory potential of the diet, measured by the dietary inflammatory index (DII), and GDM risk in pregnant Chinese women. METHODS This study included 2639 eligible women from the Tongji Maternal and Child Health Cohort. Dietary intake was assessed by a validated semiquantitative food frequency questionnaire and was used to calculate the DII score. The DII was then validated using C-reactive protein measurements in a subsample of 133 pregnant women. GDM diagnoses were collected from medical records based on the results of a 75 g oral glucose tolerance test at 24 to 28 wk gestation. Multivariable-adjusted logistic regression models were performed to estimate the odds ratios (ORs) for GDM risk by DII score, modeled continuously and in tertiles. RESULTS Of the 2639 participants, 13.1% were diagnosed with GDM. DII scores ranged from -4.45 to 3.15 and were positively associated with C-reactive protein (adjusted β : 1.28, 95% confidence interval [CI]: 0.16, 2.40; P trend = 0.023) when comparing DII tertile 3 (most pro-inflammatory) to tertile 1 (most anti-inflammatory). A significant and positive association was observed between DII scores and GDM risk (adjusted OR: 1.43; 95% CI: 1.05, 1.95; P trend = 0.022) comparing the highest versus lowest tertiles. The stratified analysis showed that this association was stronger in pregnant women who were overweight or obese before pregnancy (adjusted OR: 2.20; 95% CI: 1.03, 4.69). CONCLUSIONS These findings suggest that a higher DII score, corresponding to a more proinflammatory diet, is associated with a higher risk of GDM, particularly in pregnant women who were overweight or obese before pregnancy.
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Affiliation(s)
- Zhen Zhang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China; Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Yuanjue Wu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Chunrong Zhong
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Xuezhen Zhou
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Chaoqun Liu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Qian Li
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Renjuan Chen
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Qin Gao
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Xiating Li
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Hongmin Zhang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Yu Zhang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Wenli Cui
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Liping Hao
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Sheng Wei
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Xuefeng Yang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
| | - Nianhong Yang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
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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: 3.5] [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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Li JS, Wang T, Zuo JJ, Guo CN, Peng F, Zhao SZ, Li HH, Hou XQ, Lan Y, Wei YP, Zheng C, Mao GY. Association of n-6 PUFAs with the risk of diabetic retinopathy in diabetic patients. Endocr Connect 2020; 9:1191-1201. [PMID: 33112826 PMCID: PMC7774753 DOI: 10.1530/ec-20-0370] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Accepted: 10/08/2020] [Indexed: 01/02/2023]
Abstract
Diabetic retinopathy (DR), the most common microvascular complication of diabetes and leading cause of visual impairment in adults worldwide, is suggested to be linked to abnormal lipid metabolism. The present study aims to comprehensively investigate the relationship between n-6 polyunsaturated fatty acids (PUFAs) and DR. This was a propensity score matching based case-control study, including 69 pairs of DR patients and type 2 diabetic patients without DR with mean age of 56.7 ± 9.2 years. Five n-6 PUFAs were determined by UPLC-ESI-MS/MS system. Principle component regression (PCR) and multiple conditional logistic regression models were used to investigate the association of DR risk with n-6 PUFAs depending on independent training and testing sets, respectively. According to locally weighted regression model, we observed obvious negative correlation between levels of five n-6 PUFAs (linoleic acid, γ-linolenic acid, eicosadienoic acid, dihomo-γ-linolenic acid and arachidonicacid) and DR. Based on multiple PCR model, we also observed significant negative association between the five n-6 PUFAs and DR with adjusted OR (95% CI) as 0.62 (0.43,0.87). When being evaluated depending on the testing set, the association was still existed, and PCR model had excellent classification performance, in which area under the curve (AUC) was 0.88 (95% CI: 0.78, 0.99). In addition, the model also had valid calibration with a non-significant Hosmer-Lemeshow Chi-square of 9.44 (P = 0.307) in the testing set. n-6 PUFAs were inversely associated with the presence of DR, and the principle component could be potential indicator in distinguishing DR from other T2D patients.
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Affiliation(s)
- Ju-shuang Li
- Division of Epidemiology and Health Statistics, Department of Preventive Medicine, School of Public Health & Management, Wenzhou Medical Unviersity, Wenzhou, Zhejiang, China
- Center on Evidence-Based Medicine & Clinical Epidemiological Research, School of Public Health & Management, Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Tao Wang
- Division of Epidemiology and Health Statistics, Department of Preventive Medicine, School of Public Health & Management, Wenzhou Medical Unviersity, Wenzhou, Zhejiang, China
- Center on Evidence-Based Medicine & Clinical Epidemiological Research, School of Public Health & Management, Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Jing-jing Zuo
- Center on Clinical Research, School of Ophthalmology & Optometry, Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Cheng-nan Guo
- Division of Epidemiology and Health Statistics, Department of Preventive Medicine, School of Public Health & Management, Wenzhou Medical Unviersity, Wenzhou, Zhejiang, China
- Center on Evidence-Based Medicine & Clinical Epidemiological Research, School of Public Health & Management, Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Fang Peng
- Division of Epidemiology and Health Statistics, Department of Preventive Medicine, School of Public Health & Management, Wenzhou Medical Unviersity, Wenzhou, Zhejiang, China
- Center on Evidence-Based Medicine & Clinical Epidemiological Research, School of Public Health & Management, Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Shu-zhen Zhao
- Division of Epidemiology and Health Statistics, Department of Preventive Medicine, School of Public Health & Management, Wenzhou Medical Unviersity, Wenzhou, Zhejiang, China
- Center on Evidence-Based Medicine & Clinical Epidemiological Research, School of Public Health & Management, Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Hui-hui Li
- Division of Epidemiology and Health Statistics, Department of Preventive Medicine, School of Public Health & Management, Wenzhou Medical Unviersity, Wenzhou, Zhejiang, China
- Center on Evidence-Based Medicine & Clinical Epidemiological Research, School of Public Health & Management, Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Xiang-qing Hou
- Division of Epidemiology and Health Statistics, Department of Preventive Medicine, School of Public Health & Management, Wenzhou Medical Unviersity, Wenzhou, Zhejiang, China
- Center on Evidence-Based Medicine & Clinical Epidemiological Research, School of Public Health & Management, Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Yuan Lan
- Center on Clinical Research, School of Ophthalmology & Optometry, Wenzhou Medical University, Wenzhou, Zhejiang, China
- Department of Ophthalmology, Pingxiang People’s Hospital of Southern Medical University, Pingxiang, Jiangxi, China
| | - Ya-ping Wei
- Division of Epidemiology and Health Statistics, Department of Preventive Medicine, School of Public Health & Management, Wenzhou Medical Unviersity, Wenzhou, Zhejiang, China
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, China
| | - Chao Zheng
- The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Guang-yun Mao
- Division of Epidemiology and Health Statistics, Department of Preventive Medicine, School of Public Health & Management, Wenzhou Medical Unviersity, Wenzhou, Zhejiang, China
- Center on Evidence-Based Medicine & Clinical Epidemiological Research, School of Public Health & Management, Wenzhou Medical University, Wenzhou, Zhejiang, China
- Center on Clinical Research, School of Ophthalmology & Optometry, Wenzhou Medical University, Wenzhou, Zhejiang, China
- Correspondence should be addressed to G Mao:
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Godhamgaonkar AA, Wadhwani NS, Joshi SR. Exploring the role of LC-PUFA metabolism in pregnancy complications. Prostaglandins Leukot Essent Fatty Acids 2020; 163:102203. [PMID: 33227645 DOI: 10.1016/j.plefa.2020.102203] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/07/2020] [Revised: 10/09/2020] [Accepted: 11/07/2020] [Indexed: 12/14/2022]
Abstract
Maternal nutrition during pregnancy plays a significant role in growth and development of the placenta and influencing pregnancy outcome. Suboptimal nutritional status during early gestational period compromises the normal course of pregnancy leading to adverse maternal and fetal outcomes. Omega-3 and omega-6 long chain polyunsaturated fatty acids (LC-PUFA) are important for the growth and development of the placenta. Maternal fatty acids and their metabolites influence the normal course of pregnancy by regulating cell growth and development, cell signaling, regulate angiogenesis, modulate inflammatory responses and influence various structural and functional processes. Alterations in LC-PUFA and their metabolites may result in inadequate spiral artery remodeling or placental angiogenesis leading to structural and functional deficiency of the placenta which contributes to several pregnancy complications like preeclampsia, gestational diabetes mellitus, intrauterine growth restriction, and results in adverse birth outcomes. In this review, we summarize studies examining the role of fatty acids and their metabolites in pregnancy. We also discuss the possible molecular mechanisms through which LC-PUFA influences placental growth and development. Studies have demonstrated that omega-3 fatty acid supplementation lowers the incidence of preterm births, but its effect on reducing pregnancy complications are inconclusive.
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Affiliation(s)
- Aditi A Godhamgaonkar
- Mother and Child Health, Interactive Research School for Health Affairs (IRSHA), Bharati Vidyapeeth (Deemed to be University), Pune-Satara Road, Pune 411043, India
| | - Nisha S Wadhwani
- Mother and Child Health, Interactive Research School for Health Affairs (IRSHA), Bharati Vidyapeeth (Deemed to be University), Pune-Satara Road, Pune 411043, India
| | - Sadhana R Joshi
- Mother and Child Health, Interactive Research School for Health Affairs (IRSHA), Bharati Vidyapeeth (Deemed to be University), Pune-Satara Road, Pune 411043, India.
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Chen L, Zhu Y, Fei Z, Hinkle SN, Xia T, Liu X, Rahman ML, Li M, Wu J, Weir NL, Tsai MY, Zhang C. Plasma Phospholipid n-3/ n-6 Polyunsaturated Fatty Acids and Desaturase Activities in Relation to Moderate-to-Vigorous Physical Activity through Pregnancy: A Longitudinal Study within the NICHD Fetal Growth Studies. Nutrients 2020; 12:nu12113544. [PMID: 33227993 PMCID: PMC7699189 DOI: 10.3390/nu12113544] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2020] [Revised: 11/11/2020] [Accepted: 11/16/2020] [Indexed: 11/28/2022] Open
Abstract
Maternal plasma phospholipid polyunsaturated fatty acids (PUFAs) play critical roles in maternal health and fetal development. Beyond dietary factors, maternal moderate-to-vigorous physical activity (MVPA) has been linked to multiple health benefits for both the mother and offspring, but studies investigating the influence of maternal MVPA on maternal PUFA profile are scarce. The objective of present study was to examine the time-specific and prospective associations of MVPA with plasma PUFA profile among pregnant women. This study included 321 participants from the National Institute of Child Health and Human Development (NICHD) Fetal Growth Studies–Singletons cohort. Maternal plasma phospholipid PUFAs and MPVA were measured at four visits during pregnancy (10–14, 15–26, 23–31, and 33–39 gestational weeks (GW)). Associations of maternal MVPA with individual plasma PUFAs and desaturase activity were examined using generalized linear models. Maternal MVPA was associated inversely with plasma phospholipid linoleic acid, gamma-linolenic acid, and Δ6-desaturase in late pregnancy (23–31 or 33–39 GW), independent of maternal age, race, education, parity, pre-pregnancy body mass index, and dietary factors. Findings from this longitudinal study indicate that maternal habitual MVPA may play a role on PUFAs metabolism, particular by alerting plasma n-6 subclass and desaturase activity in late pregnancy. These associations are novel and merit confirmation in future studies.
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Affiliation(s)
- Liwei Chen
- Department of Epidemiology, Fielding School of Public Health, University of California Los Angeles, Los Angeles, CA 90095, USA; (L.C.); (T.X.); (X.L.)
| | - Yeyi Zhu
- Division of Research, Kaiser Permanente Northern California, Oakland, CA 94612, USA;
| | - Zhe Fei
- Department of Biostatistics, Fielding School of Public Health, University of California Los Angeles, Los Angeles, CA 90095, USA;
| | - Stefanie N. Hinkle
- Epidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD 20892, USA; (S.N.H.); (M.L.); (J.W.)
| | - Tong Xia
- Department of Epidemiology, Fielding School of Public Health, University of California Los Angeles, Los Angeles, CA 90095, USA; (L.C.); (T.X.); (X.L.)
| | - Xinyue Liu
- Department of Epidemiology, Fielding School of Public Health, University of California Los Angeles, Los Angeles, CA 90095, USA; (L.C.); (T.X.); (X.L.)
| | - Mohammad L. Rahman
- Department of Population Medicine, Harvard Pilgrim Health Care Institute and Harvard Medical School, Boston, MA 02215, USA;
| | - Mengying Li
- Epidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD 20892, USA; (S.N.H.); (M.L.); (J.W.)
| | - Jing Wu
- Epidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD 20892, USA; (S.N.H.); (M.L.); (J.W.)
| | - Natalie L. Weir
- Department of Laboratory Medicine & Pathology, University of Minnesota, Minneapolis, MN 55455, USA; (N.L.W.); (M.Y.T.)
| | - Michael Y. Tsai
- Department of Laboratory Medicine & Pathology, University of Minnesota, Minneapolis, MN 55455, USA; (N.L.W.); (M.Y.T.)
| | - Cuilin Zhang
- Epidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD 20892, USA; (S.N.H.); (M.L.); (J.W.)
- Correspondence: ; Tel.: +301-435-6917; Fax: +301-402-2084
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Wang S, Zhang G, Wang J, Ye Z, Liu H, Guan L, Qiao Y, Chen J, Zhang T, Zhao Q, Zhang Y, Wang B, Gao Y, Qian P, Feng L, Chen F, Liu G. Study Design and Baseline Profiles of Participants in the Tianjin Birth Cohort (TJBC) in China. J Epidemiol 2020; 32:44-52. [PMID: 33012776 PMCID: PMC8666315 DOI: 10.2188/jea.je20200238] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022] Open
Abstract
Background To investigate the causal link between early-life exposures and long-term health consequences, we established the Tianjin Birth Cohort (TJBC), a large-scale prospective cohort in northern China. Methods TJBC aims to enroll 10,000 families with follow-ups from pregnancy until children’s six year-old. Pregnant women and their spouses were recruited through a three-tier antenatal healthcare system at early pregnancy, with follow-ups at mid-pregnancy, late pregnancy, delivery, 42 days after delivery, 6 months after delivery, and each year until 6 years old. Antenatal/neonatal examination, biological samples and questionnaires were collected. Results From August 2017 to January 2019, a total of 3,924 pregnant women have already been enrolled, and 1,697 women have given birth. We observed the prevalence of gestational diabetes mellitus as 18.1%, anemia as 20.4%, and thyroid hypofunction as 2.0%. In singleton live births, 5.6% were preterm birth (PTB), 3.7% were low birth weight, and 7.3% were macrosomia. Based on current data, we also identified maternal/paternal factors which increased the risk of PTB, including paternal age (OR 1.07; 95% CI, 1.01–1.14 for each year increase), vaginal bleeding during pregnancy (OR 2.82; 95% CI, 1.54–5.17) and maternal early-pregnancy BMI (OR 1.08; 95% CI, 1.01–1.15 for each kg/m2 increase). Conclusion TJBC has the strength of collecting comprehensive maternal, paternal, and childhood information. With a diverse range of biological samples, we are also engaging with emerging new technologies for multi-omics research. The study would provide new insight into the causal link between macro/micro-environmental exposures of early life and short/long-term health consequences.
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Affiliation(s)
- Shuo Wang
- Tianjin Women's and Children's Health Center
| | | | - Jing Wang
- Tianjin Women's and Children's Health Center
| | | | - Huikun Liu
- Tianjin Women's and Children's Health Center
| | | | - Yijuan Qiao
- Tianjin Women's and Children's Health Center
| | | | - Tao Zhang
- Tianjin Women's and Children's Health Center
| | - Qian Zhao
- BGI-Shenzhen.,China National GeneBank
| | - Yu Zhang
- Tianjin Women's and Children's Health Center
| | - Bo Wang
- BGI-Shenzhen.,China National GeneBank
| | | | - Puyi Qian
- BGI-Shenzhen.,China National GeneBank
| | | | | | - Gongshu Liu
- Tianjin Women's and Children's Health Center
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Welch BM, Keil AP, van ‘t Erve TJ, Deterding LJ, Williams JG, Lih FB, Cantonwine DE, McElrath TF, Ferguson KK. Longitudinal profiles of plasma eicosanoids during pregnancy and size for gestational age at delivery: A nested case-control study. PLoS Med 2020; 17:e1003271. [PMID: 32797061 PMCID: PMC7428021 DOI: 10.1371/journal.pmed.1003271] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/20/2020] [Accepted: 07/20/2020] [Indexed: 02/02/2023] Open
Abstract
BACKGROUND Inflammation during pregnancy is hypothesized to influence fetal growth. Eicosanoids, an important class of lipid mediators derived from polyunsaturated fatty acids, can act as both direct influences and biomarkers of inflammation through a variety of biological pathways. However, quantifying these distinct inflammatory pathways has proven difficult. We aimed to characterize a comprehensive panel of plasma eicosanoids longitudinally across gestation in pregnant women and to determine whether levels differed by infant size at delivery. METHODS AND FINDINGS Our data come from a case-control study of 90 pregnant women nested within the LIFECODES prospective birth cohort study conducted at Brigham and Women's Hospital in Boston, Massachusetts. This study included 31 women who delivered small for gestational age (SGA) babies (SGA, ≤10th percentile), 28 who delivered large for gestational age (LGA) babies (≥90th percentile), and 31 who delivered appropriate for gestational age (AGA) babies (controls, >10th to <90th percentile). All deliveries occurred between 2010 and 2017. Most participants were in their early 30s (median age: 33 years), of white (60%) or black (20%) race/ethnicity, and of normal pre-pregnancy BMI (median BMI: 23.5 kg/m2). Women provided non-fasting plasma samples during 3 prenatal study visits (at median 11, 25, and 35 weeks gestation) and were analyzed for a panel of eicosanoids. Eicosanoids were grouped by biosynthetic pathway, defined by (1) the fatty acid precursor, including linoleic acid (LA), arachidonic acid (AA), docosahexaenoic acid (DHA), or eicosapentaenoic acid (EPA), and (2) the enzyme group, including cyclooxygenase (COX), lipoxygenase (LOX), or cytochrome P450 (CYP). Additionally, the concentrations of the 4 fatty acids (LA, AA, DHA, and EPA) were measured in maternal plasma. Analytes represent lipids from non-esterified plasma. We examined correlations among eicosanoids and trajectories across pregnancy. Differences in longitudinal concentrations between case groups were examined using Bayesian linear mixed effects models, which included participant-specific random intercepts and penalized splines on gestational age. Results showed maternal plasma levels of eicosanoids and fatty acids generally followed U-shaped curve patterns across gestation. Bayesian models showed that associations between eicosanoids and case status varied by biosynthetic pathway. Eicosanoids derived from AA via the CYP and LOX biosynthetic pathways were positively associated with SGA. The adjusted mean concentration of 12-HETE, a LOX pathway product, was 56.2% higher (95% credible interval 6.6%, 119.1%) among SGA cases compared to AGA controls. Eicosanoid associations with LGA were mostly null, but negative associations were observed with eicosanoids derived from AA by LOX enzymes. The fatty acid precursors had estimated mean concentrations 41%-97% higher among SGA cases and 33%-39% lower among LGA cases compared to controls. Primary limitations of the study included the inability to explore the potential periods of susceptibility of eicosanoids on infant size due to limited sample size, along with the use of infant size at delivery instead of longitudinal ultrasound measures to estimate fetal growth. CONCLUSIONS In this nested case-control study, we found that eicosanoids and fatty acids systematically change in maternal plasma over pregnancy. Eicosanoids from specific inflammation-related pathways were higher in mothers of SGA cases and mostly similar in mothers of LGA cases compared to controls. These findings can provide deeper insight into etiologic mechanisms of abnormal fetal growth outcomes.
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Affiliation(s)
- Barrett M. Welch
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle, North Carolina, United States of America
| | - Alexander P. Keil
- Department of Epidemiology, University of North Carolina, Chapel Hill, North Carolina, United States of America
| | - Thomas J. van ‘t Erve
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle, North Carolina, United States of America
| | - Leesa J. Deterding
- Mass Spectrometry Research and Support Group, National Institute of Environmental Health Sciences, Research Triangle, North Carolina, United States of America
| | - Jason G. Williams
- Mass Spectrometry Research and Support Group, National Institute of Environmental Health Sciences, Research Triangle, North Carolina, United States of America
| | - Fred B. Lih
- Mass Spectrometry Research and Support Group, National Institute of Environmental Health Sciences, Research Triangle, North Carolina, United States of America
| | - David E. Cantonwine
- Division of Maternal-Fetal Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Thomas F. McElrath
- Division of Maternal-Fetal Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Kelly K. Ferguson
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle, North Carolina, United States of America
- * E-mail:
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47
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Haslam DE, Li J, Liang L, Martinez M, Palacios C, Trak-Fellermeier MA, Franks PW, Joshipura K, Bhupathiraju SN. Changes in Metabolites During an Oral Glucose Tolerance Test in Early and Mid-Pregnancy: Findings from the PEARLS Randomized, Controlled Lifestyle Trial. Metabolites 2020; 10:metabo10070284. [PMID: 32664282 PMCID: PMC7408149 DOI: 10.3390/metabo10070284] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2020] [Revised: 06/24/2020] [Accepted: 07/02/2020] [Indexed: 02/07/2023] Open
Abstract
The oral glucose tolerance test (OGTT) is used to diagnose gestational and other types of diabetes. We examined metabolite changes during an OGTT, and how a comprehensive diet and physical activity intervention may influence these changes in a population of overweight/obese Hispanic pregnant women. Integration of changes in metabolites during an OGTT may help us gain preliminary insights into how glucose metabolism changes during pregnancy. Among women from the Pregnancy and EARly Lifestyle improvement Study (PEARLS), we measured metabolites during a multipoint OGTT (fasting, 30, 60 and 120 min) at early and mid-pregnancy. Metabolite levels were measured by liquid chromatography-mass spectrometry in plasma samples in the lifestyle intervention (n = 13) and control (n = 16) arms of the study. A total of 65 candidate metabolites were selected that displayed changes during an OGTT in previous studies. Paired and unpaired t-tests were used to examine differences in Δfast-120 min: (1) at early and mid-pregnancy; and (2) by intervention assignment. We applied principal component analysis (PCA) to identify those metabolites that differed by intervention assignment and OGTT time points. Most of the characteristic changes in metabolites post-OGTT were similar at both gestational time points. PCA identified characteristic metabolite patterns associated with OGTT time points at both early and mid-pregnancy. These metabolites included ketone bodies, tryptophan, acyl carnitines, polyunsaturated fatty acids, and biomarkers related to bile acid, urea cycle, arginine, and proline metabolism. PCA identified distinct Δfast-120 min in fatty acid, acyl carnitine, bile acid, ketone body, and amino acid levels at mid- compared to early pregnancy. Participants in the intervention group did not display mean decreases in Δfast-120 min of several long-chain acyl carnitines that were observed in the control group. These findings provide preliminary insight into metabolites, whose role in increased insulin resistance during pregnancy, should be explored further in future studies.
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Affiliation(s)
- Danielle E. Haslam
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, 75 Francis Street, Boston, MA 02115, USA;
- Harvard Medical School, 25 Shattuck St, Boston, MA 02115, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, 655 Huntington Ave, Boston, MA 02115, USA;
- Correspondence:
| | - Jun Li
- Department of Nutrition, Harvard T.H. Chan School of Public Health, 655 Huntington Ave, Boston, MA 02115, USA;
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, 655 Huntington Ave, Boston, MA 02115, USA; (L.L.); (K.J.)
| | - Liming Liang
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, 655 Huntington Ave, Boston, MA 02115, USA; (L.L.); (K.J.)
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, 655 Huntington Ave, Boston, MA 02115, USA
| | - Marijulie Martinez
- Center for Clinical Research and Health Promotion, University of Puerto Rico Medical Sciences Campus, San Juan, PR 00936-5067, Puerto Rico;
| | - Cristina Palacios
- Dietetics and Nutrition Department, Robert Stempel College of Public Health & Social Work, Florida International University, 11200 SW 8th Street AHC5, Miami, FL 33199, USA; (C.P.); (M.A.T.-F.)
| | - Maria A. Trak-Fellermeier
- Dietetics and Nutrition Department, Robert Stempel College of Public Health & Social Work, Florida International University, 11200 SW 8th Street AHC5, Miami, FL 33199, USA; (C.P.); (M.A.T.-F.)
| | - Paul W. Franks
- Lund University Diabetes Centre, CRC, SUS Malmö, Jan Waldenströms gata 35, House 91:12, SE-214 28 Malmö, Sweden;
| | - Kaumudi Joshipura
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, 655 Huntington Ave, Boston, MA 02115, USA; (L.L.); (K.J.)
- Center for Clinical Research and Health Promotion, University of Puerto Rico Medical Sciences Campus, San Juan, PR 00936-5067, Puerto Rico;
| | - Shilpa N. Bhupathiraju
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, 75 Francis Street, Boston, MA 02115, USA;
- Harvard Medical School, 25 Shattuck St, Boston, MA 02115, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, 655 Huntington Ave, Boston, MA 02115, USA;
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Jadhav A, Khaire A, Joshi S. Exploring the role of oxidative stress, fatty acids and neurotrophins in gestational diabetes mellitus. Growth Factors 2020; 38:226-234. [PMID: 33703982 DOI: 10.1080/08977194.2021.1895143] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
Gestational diabetes mellitus (GDM) constitutes an unfavorable intrauterine environment for embryonic and feto-placental development. Women with GDM are at higher risk for materno-fetal complications and placental abnormalities. The placenta acts as an interface between the maternal and fetal circulations and also plays an important role in protecting the fetus from adverse effects of maternal metabolic conditions. One of the earliest abnormalities observed in GDM pregnancies is increased oxidative stress in the placenta which affects fetal development. Imbalances in maternal nutrition particularly long-chain polyunsaturated fatty acid (LCPUFA) intake and/or metabolism lead to increased oxidative stress. Reports indicate that oxidative stress and LCPUFA such as docosahexaenoic acid affect the levels of neurotrophins. The present review aims to provide insights into a mechanistic link between oxidative stress, LCPUFA and neurotrophin in the placenta in women with GDM and its implications for neurodevelopmental outcomes in children.
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Affiliation(s)
- Anjali Jadhav
- Mother and Child Health, Interactive Research School for Health Affairs (IRSHA), Bharati Vidyapeeth (Deemed to be University), Pune, India
| | - Amrita Khaire
- Mother and Child Health, Interactive Research School for Health Affairs (IRSHA), Bharati Vidyapeeth (Deemed to be University), Pune, India
| | - Sadhana Joshi
- Mother and Child Health, Interactive Research School for Health Affairs (IRSHA), Bharati Vidyapeeth (Deemed to be University), Pune, India
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49
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Huang Y, Li X, Zhang W, Su W, Zhou A, Xu S, Li Y, Chen D. Aluminum Exposure and Gestational Diabetes Mellitus: Associations and Potential Mediation by n-6 Polyunsaturated Fatty Acids. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2020; 54:5031-5040. [PMID: 32204592 DOI: 10.1021/acs.est.9b07180] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
As the earth's third most abundant element with various industrial applications, aluminum (Al) has received increasing concerns over its potential adverse health effects. Although Al exposure has been suggested to increase the risks of type 2 diabetes, little has been done to explore Al exposure in pregnant women and potential impact on the incidence of gestational diabetes mellitus (GDM). Our present study demonstrated positive associations between Al concentrations in maternal plasma collected in the first trimester of pregnancy and GDM risks (Ptrend < 0.001) based on a nested case-control study from Wuhan, China, including 305 GDM cases and 305 healthy controls. The highest tertile of plasma Al concentrations corresponded to an odds ratio of 4.03 (95% confidence interval: [2.14, 7.58]) relative to the lowest tertile, after the adjustment for established GDM risk factors and other plasma metals. We also observed significant correlations between plasma Al and several plasma polyunsaturated fatty acids (PUFA; e.g., linoleic acid 18:2 n-6) levels. In addition, mediation effects on the associations of Al exposure with GDM risks were observed for n-6 PUFAs (estimated mediation percentage: 48.3%) and total PUFAs (48.9%). Our study is not only by far the largest study of its kind to demonstrate maternal Al exposure and the association with GDM risks, but it also offers an insight into the potential mediation roles of n-6 PUFAs in an epidemiological setting. These findings contribute to a better understanding of perinatal Al exposure and GDM risks.
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Affiliation(s)
- Yichao Huang
- School of Environment and Guangdong Key Laboratory of Environmental Pollution and Health, Jinan University, Guangzhou 510632, Guangdong, China
| | - Xinping Li
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
| | - Wenxin Zhang
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
| | - Weijie Su
- School of Environment and Guangdong Key Laboratory of Environmental Pollution and Health, Jinan University, Guangzhou 510632, Guangdong, China
| | - Aifen Zhou
- Wuhan Medical & Healthcare Center for Women and Children, Wuhan, Hubei 430015, China
| | - Shunqing Xu
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
| | - Yuanyuan Li
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
| | - Da Chen
- School of Environment and Guangdong Key Laboratory of Environmental Pollution and Health, Jinan University, Guangzhou 510632, Guangdong, China
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50
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Wilson NA, Mantzioris E, Middleton PF, Muhlhausler BS. Influence of clinical characteristics on maternal DHA and other polyunsaturated fatty acid status in pregnancy: A systematic review. Prostaglandins Leukot Essent Fatty Acids 2020; 154:102063. [PMID: 32058894 DOI: 10.1016/j.plefa.2020.102063] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/28/2019] [Revised: 01/23/2020] [Accepted: 01/28/2020] [Indexed: 01/01/2023]
Abstract
INTRODUCTION Omega-3 DHA is important for the prevention of preterm birth, however there is limited knowledge of the determinants of omega-3 status during pregnancy. The primary objective of this systematic review was to synthesise data from existing studies assessing relationships between clinical factors and maternal DHA status. MATERIALS AND METHODS The Medline, Embase, Amed, and CINAHL databases were searched for studies reporting measures of maternal omega-3 status and one or more clinical characteristics. RESULTS Eighteen studies were included in the final analyses. Factors associated with a higher BMI (overweight, higher gestational weight gain, gestational diabetes), or lower parity were each associated with higher omega-3 status in the majority of studies, with mixed findings for other comparisons. DISCUSSION Inconsistent findings between studies make it difficult to draw clear conclusions about the relationship between clinical factors and maternal omega-3 DHA status. However, maternal overweight and associated metabolic conditions may increase lipid metabolism.
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Affiliation(s)
- N A Wilson
- School of Pharmacy and Medical Sciences, University of South Australia, North Terrace & Frome Rd, Adelaide, SA, 5000, Australia
| | - E Mantzioris
- School of Pharmacy and Medical Sciences, University of South Australia, North Terrace & Frome Rd, Adelaide, SA, 5000, Australia
| | - P F Middleton
- South Australian Health and Medical Research Institute SAHMRI Women and Kids, Level 7, 72 King William Rd, North Adelaide, SA, 5006, Australia
| | - B S Muhlhausler
- Food and Nutrition Research Group, Dept of Food and Wine Sciences, School of Agriculture, Food and Wine, The University of Adelaide, Waite Road, Urrbrae, SA, 5064, Australia; Nutrition and Health Program, CSIRO Health and Biosecurity, Kintore Avenue, Adelaide, SA, 5001, Australia.
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