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Chen X, Liu H, Zhou A, Jin F, Jing C, Li Y, Xia W, Kahn LG, Xie Y, Xiang X, Cao S, Zhang W, Mahai G, Cao Z, Xiao H, Xiong C, Li W, Li H, Xu S. Fetal weight growth trajectories and childhood development: A population-based cohort study. Sci Bull (Beijing) 2024:S2095-9273(24)00600-5. [PMID: 39261129 DOI: 10.1016/j.scib.2024.04.077] [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: 10/07/2023] [Revised: 04/07/2024] [Accepted: 04/07/2024] [Indexed: 09/13/2024]
Abstract
This study aimed to investigate whether fetal growth trajectories (FGTs) could predict early childhood development, indicate intrauterine metabolic changes, and explore potential optimal and suboptimal FGTs. FGTs were developed by using an unsupervised machine-learning approach. Children's neurodevelopment, anthropometry, and respiratory outcomes in the first 6 years of life were assessed at different ages. In a subgroup of participants, we conducted a metabolomics analysis of cord blood to reveal the metabolic features of FGTs. We identified 6 FGTs: early decelerating, early decelerating with late catch-up growth, early accelerating, early accelerating with late medium growth, late decelerating, and late accelerating. The early accelerating with late medium growth pattern might be the optimal FGT due to its associations with better psychomotor development, mental development, intelligence quotient, and lung function and a lower risk of behaviour and respiratory problems. Compared with the optimal FGT, early decelerating and late decelerating FGTs were associated with poor neurodevelopment and lung function, while early accelerating FGT was associated with more severe autistic symptoms, poor lung function, and increased risks of overweight/obesity. Metabolic alterations were enriched in amino acid metabolism for early decelerating and late decelerating FGTs, whereas altered metabolites were enriched in lipid metabolism for early accelerating FGT. These findings suggest that FGTs are predictors of early life development and may indicate intrauterine adaptive metabolism. The discovery of optimal and suboptimal FGTs provides potential clues for the early identification and intervention of fetal origin dysplasia or disease, but further research on related mechanisms is still needed.
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Affiliation(s)
- Xinmei Chen
- 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, China
| | - Hongxiu Liu
- 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, China
| | - Aifen Zhou
- Wuhan Medical & Healthcare Center for Women and Children, Wuhan 430015, China
| | - Feng Jin
- Shunyi Women's and Children's Hospital of Beijing Children's Hospital, Beijing 101320, China
| | - Chufeng Jing
- Wuxi Maternal and Child Health Hospital, Wuxi 214001, 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, China
| | - Wei Xia
- 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, China
| | - Linda G Kahn
- Department of Pediatrics, New York University Grossman School of Medicine, New York, 10016, USA
| | - Ya Xie
- 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, China
| | - Xingliang Xiang
- School of Environmental Science and Engineering, Hainan University, Haikou 570208, China
| | - Shuting Cao
- 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, 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, China
| | - Gaga Mahai
- School of Environmental Science and Engineering, Hainan University, Haikou 570208, China
| | - Zhongqiang Cao
- Wuhan Medical & Healthcare Center for Women and Children, Wuhan 430015, China
| | - Han Xiao
- Wuhan Medical & Healthcare Center for Women and Children, Wuhan 430015, China
| | - Chao Xiong
- Wuhan Medical & Healthcare Center for Women and Children, Wuhan 430015, China
| | - Wei Li
- Beijing Children's Hospital, Capital Medical University, Beijing 100045, China
| | - Hanzeng Li
- School of Environmental Science and Engineering, Hainan University, Haikou 570208, 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, China; School of Environmental Science and Engineering, Hainan University, Haikou 570208, China.
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Jin WY, Chen XY, Han T, Jin Y, Chen TT, Wang ZH, Zhao ZY, Zhu ZW. Associations between cord blood metabolic factors and early-childhood growth and overweight and obesity. Front Endocrinol (Lausanne) 2023; 14:1164747. [PMID: 37497350 PMCID: PMC10366685 DOI: 10.3389/fendo.2023.1164747] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Accepted: 06/23/2023] [Indexed: 07/28/2023] Open
Abstract
Objective This prospective cohort study was aimed at investigating the associations between cord blood metabolic factors and early-childhood growth, further elucidating the relationships between cord blood metabolites and overweight and obesity in early life. Methods A total of 2,267 pairs of mothers and offspring were recruited in our study. Cord blood plasma was assayed for triglycerides (TGs), total cholesterol (TC), low-density lipoprotein-cholesterol (LDL-C), high-density lipoprotein-cholesterol (HDL-C), C-peptide, insulin, and glycosylated hemoglobin type A1C (HbA1c) levels. Data of anthropometric measurements were collected from offspring at birth, 6 months, 12 months, and 18 months. Multiple linear regression models were used to evaluate the correlations between cord blood metabolic factors and weight Z-scores, body mass index (BMI) Z-scores, and weight gains at the early stage of life. Forward stepwise logistic regression analyses were applied to explore the associations between cord blood metabolic factors and early-childhood overweight and obesity. Receiver operating characteristic (ROC) curve analyses were applied to determine the optimal cutoff points for cord blood metabolic factors in predicting early-childhood overweight and obesity. Results After adjustments for covariates, cord blood TG concentrations and TG/TC ratios were negatively associated with weight Z-scores from birth to 18 months. Cord blood C-peptide and HbA1c levels were inversely associated with weight Z-scores at 6 months and 18 months. Cord blood TG concentrations and TG/TC ratios were negatively correlated with BMI Z-scores up to 18 months. Cord blood C-peptide levels and HbA1c levels were inversely correlated with BMI Z-scores at 18 months. Cord blood TG, TG/TC ratios, C-peptide, and HbA1c had negative correlations with weight gains from birth to 6 months, but the correlations attenuated as time went on. Increase in cord blood TG and HbA1c levels and TG/TC ratios were significantly associated with decreased risks of overweight and obesity at 6 months, 12 months, and 18 months. Conclusions Cord blood metabolic factors were significantly associated with early-childhood growth patterns.
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Affiliation(s)
- Wen-Yuan Jin
- Department of Developmental Behavioral Pediatrics, Children’s Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China
| | - Xiao-Yang Chen
- Department of Developmental Behavioral Pediatrics, Children’s Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China
| | - Ting Han
- Department of Developmental Behavioral Pediatrics, Children’s Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China
| | - Yan Jin
- Department of Developmental Behavioral Pediatrics, Children’s Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China
| | - Ting-Ting Chen
- Department of Developmental Behavioral Pediatrics, Children’s Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China
| | - Zi-Han Wang
- Department of Developmental Behavioral Pediatrics, Children’s Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China
| | - Zheng-Yan Zhao
- Department of Genetic and Metabolism, Children’s Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China
| | - Zhi-Wei Zhu
- Department of Developmental Behavioral Pediatrics, Children’s Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China
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Tao Z, Chen Y, He F, Tang J, Zhan L, Hu H, Ding Z, Ruan S, Chen Y, Chen B, Wang Y, Guo X, Xie L, Zhong M, Huang Q. Alterations in the Gut Microbiome and Metabolisms in Pregnancies with Fetal Growth Restriction. Microbiol Spectr 2023; 11:e0007623. [PMID: 37199635 PMCID: PMC10269609 DOI: 10.1128/spectrum.00076-23] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Accepted: 05/04/2023] [Indexed: 05/19/2023] Open
Abstract
Fetuses diagnosed with fetal growth restriction (FGR) are at an elevated risk of stillbirth and adulthood morbidity. Gut dysbiosis has emerged as one of the impacts of placental insufficiency, which is the main cause of FGR. This study aimed to characterize the relationships among the intestinal microbiome, metabolites, and FGR. Characterization was conducted on the gut microbiome, fecal metabolome, and human phenotypes in a cohort of 35 patients with FGR and 35 normal pregnancies (NP). The serum metabolome was analyzed in 19 patients with FGR and 31 normal pregnant women. Multidimensional data was integrated to reveal the links between data sets. A fecal microbiota transplantation mouse model was used to determine the effects of the intestinal microbiome on fetal growth and placental phenotypes. The diversity and composition of the gut microbiota were altered in patients with FGR. A group of microbial species altered in FGR closely correlated with fetal measurements and maternal clinical variables. Fecal and serum metabolism profiles were distinct in FGR patients compared to those in the NP group. Altered metabolites were identified and associated with clinical phenotypes. Integrated multi-omics analysis revealed the interactions among gut microbiota, metabolites, and clinical measurements. Microbiota from FGR gravida transplanted to mice progestationally induced FGR and placental dysfunction, including impaired spiral artery remodeling and insufficient trophoblast cell invasion. Taken together, the integration of microbiome and metabolite profiles from the human cohort indicates that patients with FGR endure gut dysbiosis and metabolic disorders, which contribute to disease pathogenesis. IMPORTANCE Downstream of the primary cause of fetal growth restriction are placental insufficiency and fetal malnutrition. Gut microbiota and metabolites appear to play an important role in the progression of gestation, while dysbiosis induces maternal and fetal complications. Our study elaborates the significant differences in microbiota profiles and metabolome characteristics between women with FGR and normal pregnancies. This is the first attempt so far that reveals the mechanistic links in multi-omics in FGR, providing a novel insight into host-microbe interaction in placenta-derived diseases.
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Affiliation(s)
- Zixin Tao
- Department of Obstetrics and Gynecology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Yun Chen
- Department of Obstetrics and Gynecology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Fang He
- Department of Obstetrics and Gynecology, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Jiawei Tang
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong, China
| | - Limei Zhan
- Foshan Women and Children Hospital Affiliated to Southern Medical University, Foshan, Guangdong, China
| | - Haoyue Hu
- Department of Obstetrics and Gynecology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Ziling Ding
- Department of Obstetrics and Gynecology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Shenghang Ruan
- The First School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong, China
| | - Yutao Chen
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong, China
| | - Beier Chen
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong, China
| | - Yan Wang
- Department of Obstetrics and Gynecology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Xiaoling Guo
- Foshan Women and Children Hospital Affiliated to Southern Medical University, Foshan, Guangdong, China
| | - Liwei Xie
- State Key Laboratory of Applied Microbiology Southern China, Guangdong Provincial Key Laboratory of Microbial Culture Collection and Application, Guangdong Open Laboratory of Applied Microbiology, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou, Guangdong, China
| | - Mei Zhong
- Department of Obstetrics and Gynecology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Qitao Huang
- Department of Obstetrics and Gynecology, The First People’s Hospital of Foshan, Foshan, Guangdong, China
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Intrauterines Wachstum und Entwicklung in den ersten Lebensjahren. Geburtshilfe Frauenheilkd 2021. [DOI: 10.1055/a-1605-8013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022] Open
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Huang JS, Chen QZ, Zheng SY, Ramakrishnan R, Zeng JY, Zhuo CP, Lai YM, Kuang YS, Lu JH, He JR, Qiu X. Associations of Longitudinal Fetal Growth Patterns With Cardiometabolic Factors at Birth. Front Endocrinol (Lausanne) 2021; 12:771193. [PMID: 34956083 PMCID: PMC8696025 DOI: 10.3389/fendo.2021.771193] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/06/2021] [Accepted: 11/16/2021] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND Birth weight is associated with cardiometabolic factors at birth. However, it is unclear when these associations occur in fetal life. We aimed to investigate the associations between fetal growth in different gestational periods and cord blood cardiometabolic factors. METHODS We included 1,458 newborns from the Born in Guangzhou Cohort Study, China. Z-scores of fetal size parameters [weight, abdominal circumference (AC), and femur length (FL)] at 22 weeks and growth at 22-27, 28-36, and ≥37 weeks were calculated from multilevel linear spline models. Multiple linear regression was used to examine the associations between fetal growth variables and z-scores of cord blood cardiometabolic factors. RESULTS Fetal weight at each period was positively associated with insulin levels, with stronger association at 28-36 weeks (β, 0.31; 95% CI, 0.23 to 0.39) and ≥37 weeks (β, 0.15; 95% CI, 0.10 to 0.20) compared with earlier gestational periods. Fetal weight at 28-36 (β, -0.32; 95% CI, -0.39 to -0.24) and ≥37 weeks (β, -0.26; 95% CI, -0.31 to -0.21) was negatively associated with triglyceride levels, whereas weight at 28-36 weeks was positively associated with HDL levels (β, 0.12; 95% CI, 0.04 to 0.20). Similar results were observed for AC. Fetal FL at 22 and 22-27 weeks was associated with increased levels of insulin, glucose, and HDL. CONCLUSIONS Fetal growth at different gestational periods was associated with cardiometabolic factors at birth, suggesting that an interplay between fetal growth and cardiometabolic factors might exist early in pregnancy.
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Affiliation(s)
- Jia-Shuan Huang
- Division of Birth Cohort Study, Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangzhou, China
- Paediatrics School, Guangzhou Medical University, Guangzhou, China
| | - Qiao-Zhu Chen
- Department of Obstetrics and Gynecology, Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangzhou, China
| | - Si-Yu Zheng
- Division of Birth Cohort Study, Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangzhou, China
- Paediatrics School, Guangzhou Medical University, Guangzhou, China
| | - Rema Ramakrishnan
- National Perinatal Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Ji-Yuan Zeng
- Division of Birth Cohort Study, Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangzhou, China
- Paediatrics School, Guangzhou Medical University, Guangzhou, China
| | - Can-Peng Zhuo
- Division of Birth Cohort Study, Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangzhou, China
- Paediatrics School, Guangzhou Medical University, Guangzhou, China
| | - Yu-Mian Lai
- Department of Obstetrics and Gynecology, Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangzhou, China
| | - Ya-Shu Kuang
- Division of Birth Cohort Study, Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangzhou, China
| | - Jin-Hua Lu
- Division of Birth Cohort Study, Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangzhou, China
- Department of Women and Child Health Care and Provincial Key Clinical Specialty of Woman and Child Health, Guangzhou, China
| | - Jian-Rong He
- Division of Birth Cohort Study, Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangzhou, China
- Department of Women and Child Health Care and Provincial Key Clinical Specialty of Woman and Child Health, Guangzhou, China
- Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, United Kingdom
- *Correspondence: Xiu Qiu, ; Jian-Rong He,
| | - Xiu Qiu
- Division of Birth Cohort Study, Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangzhou, China
- Department of Women and Child Health Care and Provincial Key Clinical Specialty of Woman and Child Health, Guangzhou, China
- *Correspondence: Xiu Qiu, ; Jian-Rong He,
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