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Li J, Zhang R, Zhang C, Liu G, Li W, Wang H, Qiao Y, Yu Z, Hu G, Chan JCN, Leng J, Yang X. Effects of intensive treatment of Chinese women with gestational diabetes on the risk of offspring being overweight from 3 to 8 years of age. Diabetes Obes Metab 2024; 26:4126-4130. [PMID: 39010297 DOI: 10.1111/dom.15770] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/26/2024] [Revised: 06/16/2024] [Accepted: 06/23/2024] [Indexed: 07/17/2024]
Affiliation(s)
- Jing Li
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China
- Tianjin Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, China
| | - Rui Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Cuiping Zhang
- Tianjin Women and Children's Health Center, Tianjin, China
| | - Gongshu Liu
- Tianjin Women and Children's Health Center, Tianjin, China
| | - Weiqin Li
- Tianjin Women and Children's Health Center, Tianjin, China
| | - Hui Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China
- Tianjin Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, China
| | - Yijuan Qiao
- Tianjin Women and Children's Health Center, Tianjin, China
| | - Zhijie Yu
- Population Cancer Research Program and Department of Pediatrics, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Gang Hu
- Chronic Disease Epidemiology Laboratory, Pennington Biomedical Research Center, Baton Rouge, Louisiana, USA
| | - Juliana C N Chan
- Department of Medicine and Therapeutics, Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong, China
| | - Junhong Leng
- Tianjin Women and Children's Health Center, Tianjin, China
| | - Xilin Yang
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China
- Tianjin Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, China
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Gao M, Wang H, Li N, Qiao Y, Liu H, Li W, Wang S, Li J, Yu Z, Hu G, Leng J, Yang X. Serum CD44 levels in early pregnancy and its genetic variants for increased risk of gestational diabetes mellitus in Chinese pregnant women. J Proteomics 2024; 307:105268. [PMID: 39097228 DOI: 10.1016/j.jprot.2024.105268] [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: 03/26/2024] [Revised: 07/29/2024] [Accepted: 07/30/2024] [Indexed: 08/05/2024]
Abstract
This study aimed to explore associations of serum cluster of differentiation 44 (CD44) levels and its genetic variants in early pregnancy with gestational diabetes mellitus (GDM). We conducted a 1:1 case-control study (n = 414) nested in a prospective cohort of 22,302 pregnant women recruited from 2010 to 2012 in Tianjin, China. Blood samples were collected at the first antenatal care visit (at a median of 10th gestational week). Binary conditional logistic regressions were performed to examine associations of serum CD44 levels and its genetic variants with increased risk of GDM. In this study, we found that serum CD44 levels in early pregnancy was associated with GDM risk in a U-shaped manner. High serum CD44 levels and its genetic risk score in early pregnancy were associated with markedly increased risk of GDM after adjustment for traditional confounders (OR: 1.95, 95%CI: 1.12-3.40 & 1.95, 1.05-3.61). Furthermore, after adjustment for serum CD44 levels, the OR of CD44 genetic risk score for GDM was slightly attenuated but not significant (1.84, 0.98-3.48). In conclusion, serum CD44 levels and its genetic variants in early pregnancy were associated with GDM risk in Chinese pregnant women, with the effect of CD44 genetic variants being accounted for by serum CD44. SIGNIFICANCE: Recent studies suggested that pregnant women with GDM may have abnormal levels of CD44 and abnormal expression of CD44 gene, but it is uncertain whether abnormal CD44 plays a causal role in occurrence of GDM. Specifically, it remains unknown whether serum CD44 levels in early pregnancy and its genetic variants can predict the later occurrence of GDM. In this study, we found that high serum CD44 levels in early pregnancy and its genetic variants were associated with markedly increased risk of GDM in Chinese pregnant women, with the effect of CD44 genetic variants being largely accounted for by serum CD44 levels. Our study is the first reporting that serum CD44 levels and its genetic variants were associated with markedly increased risk of GDM. These multi-omics risk markers may be useful for identification of women at high risk of GDM in early pregnancy. Our findings also provide new insights into the disease mechanisms.
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Affiliation(s)
- Ming Gao
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin 300070, China
| | - Hui Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin 300070, China; Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin 300070, China; Tianjin Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin 300070, China
| | - Ninghua Li
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin 300070, China
| | - Yijuan Qiao
- Department of Children's Health, Tianjin Women and Children's Health Center, Tianjin 300070, China
| | - Hongyan Liu
- Department of Children's Health, Tianjin Women and Children's Health Center, Tianjin 300070, China
| | - Weiqin Li
- Department of Children's Health, Tianjin Women and Children's Health Center, Tianjin 300070, China
| | - Shuting Wang
- Department of Children's Health, Tianjin Women and Children's Health Center, Tianjin 300070, China
| | - Jing Li
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin 300070, China; Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin 300070, China; Tianjin Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin 300070, China
| | - Zhijie Yu
- Population Cancer Research Program and Department of Pediatrics, Dalhousie University, Halifax 15000, Canada
| | - Gang Hu
- Chronic Disease Epidemiology Laboratory, Pennington Biomedical Research Center, Baton Rouge, Louisiana 70808, USA
| | - Junhong Leng
- Department of Children's Health, Tianjin Women and Children's Health Center, Tianjin 300070, China.
| | - Xilin Yang
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin 300070, China; Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin 300070, China; Tianjin Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin 300070, China.
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Cao W, Wang H, Zhao S, Liu J, Liu E, Zhang T, Li N, Gao M, Li J, Yu Z, Hu G, Leng J, Yang X. Long-term risk of overweight in offspring of Chinese women with gestational diabetes defined by IADPSG's but not by WHO's criteria. Prim Care Diabetes 2024; 18:448-457. [PMID: 38777723 DOI: 10.1016/j.pcd.2024.05.002] [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: 01/18/2024] [Revised: 04/19/2024] [Accepted: 05/11/2024] [Indexed: 05/25/2024]
Abstract
AIMS To examine long-term risk of overweight in offspring of women with gestational diabetes mellitus (GDM) defined by the International Association of Diabetes and Pregnancy Study Group (IADPSG)'s criteria but not by the 1999 World Health Organization (WHO)'s criteria. METHODS We followed up 1681 mother-child pairs for 8 years in Tianjin, China. Overweight in children aged 1-5 and 6-8 were respectively defined as body mass index-for-age and -sex above the 2 z-score and 1 z-score curves of the WHO's child growth standards. Logistic regression was performed to obtain odds ratios (ORs) and 95% confidence intervals (CIs) of hyperglycemia indices at oral glucose tolerance test and GDMs defined by different criteria for offspring overweight at different ages. RESULTS Offspring of women with fasting plasma glucose ≥5.1 mmol/L were at increased risk of overweight at 6-8 years old (OR:1.45, 95% CI: 1.09-1.93). GDM defined by the IADPSG's criteria only was associated with increased risk of childhood overweight at 6-8 years old (1.65, 1.13-2.40), as compared with non-GDM by either of the two sets of criteria. CONCLUSIONS Newly defined GDM by the IADPSG's criteria increased the risk of offspring overweight aged 6-8 years.
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Affiliation(s)
- Weihan Cao
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin 300070, China
| | - Hui Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin 300070, China; Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin 300070, China; Tianjin Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin 300070, China
| | - Shumin Zhao
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin 300070, China
| | - Jin Liu
- Department of Child Health, Tianjin Women and Children's Health Center, Tianjin 300070, China
| | - Enqing Liu
- Department of Child Health, Tianjin Women and Children's Health Center, Tianjin 300070, China
| | - Tao Zhang
- Department of Child Health, 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 300070, China
| | - Ming Gao
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin 300070, China
| | - Jing Li
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin 300070, China; Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin 300070, China; Tianjin Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin 300070, China
| | - Zhijie Yu
- Population Cancer Research Program and Department of Pediatrics, Dalhousie University, Halifax 15000, Canada
| | - Gang Hu
- Chronic Disease Epidemiology Laboratory, Pennington Biomedical Research Center, Baton Rouge, LA 70808, USA
| | - Junhong Leng
- Department of Child Health, Tianjin Women and Children's Health Center, Tianjin 300070, China.
| | - Xilin Yang
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin 300070, China; Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin 300070, China; Tianjin Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin 300070, China.
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Cao W, Li N, Zhang R, Li W, Gao M, Wang H, Wang L, Qiao Y, Li J, Yu Z, Hu G, Leng J, Yang X. Interactive effects of gestational diabetes and high pre-pregnancy body mass index on adverse growth patterns of offspring. Diabetes Metab Res Rev 2024; 40:e3759. [PMID: 38111120 DOI: 10.1002/dmrr.3759] [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] [Received: 06/27/2023] [Revised: 10/07/2023] [Accepted: 10/13/2023] [Indexed: 12/20/2023]
Abstract
AIMS To examine the independent and interactive effects of maternal gestational diabetes mellitus (GDM) and high pre-pregnancy body mass index (BMI) on the risk of offspring adverse growth patterns. MATERIALS AND METHODS One thousand six hundred and eighty one mother-child pairs were followed for 8 years in Tianjin, China. Group-based trajectory modelling was used to identify offspring growth patterns. Logistic regression was performed to obtain odds ratios (ORs) and 95% confidence intervals (CIs) of GDM and high pre-pregnancy BMI for offspring adverse growth patterns. Restricted cubic spline was used to identify cut-off points. Additive interactions and multiplicative interactions were used to test interactive effects between GDM and high pre-pregnancy BMI for adverse growth patterns. RESULTS Four distinct growth patterns were identified in offspring, including normal growth pattern, persistent lean growth pattern, late obesity growth pattern (LOGP), and persistent obesity growth pattern (POGP). Maternal high pre-pregnancy BMI was associated with LOGP and POGP (adjusted OR, 95% CI: 2.38, 1.74-3.25 & 4.92, 2.26-10.73). GDM greatly enhanced the adjusted OR of high pre-pregnancy BMI for LOGP up to 3.48 (95% CI: 2.25-5.38). Additive interactions and multiplicative interactions between both risk factors were significant for LOGP but not for POGP. CONCLUSIONS Maternal high pre-pregnancy BMI was associated with increased risk of LOGP and POGP, whereas GDM greatly enhanced the risk of high pre-pregnancy BMI for LOGP.
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Affiliation(s)
- Weihan Cao
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Ninghua Li
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Rui Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Weiqin Li
- Department of Project Office, Tianjin Women and Children's Health Center, Tianjin, China
| | - Ming Gao
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Hui Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Leishen Wang
- Department of Project Office, Tianjin Women and Children's Health Center, Tianjin, China
| | - Yijuan Qiao
- Department of Project Office, Tianjin Women and Children's Health Center, Tianjin, China
| | - Jing Li
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China
- Tianjin Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, China
| | - Zhijie Yu
- Population Cancer Research Program and Department of Pediatrics, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Gang Hu
- Chronic Disease Epidemiology Laboratory, Pennington Biomedical Research Center, Baton Rouge, Louisiana, USA
| | - Junhong Leng
- Department of Project Office, Tianjin Women and Children's Health Center, Tianjin, China
| | - Xilin Yang
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China
- Tianjin Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, China
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Li W, Wang L, Liu H, Zhang S, Li W, Leng J, Yang X, Yu Z, Staiano AE, Hu G. Maternal gestational diabetes and childhood adiposity risk from 6 to 8 years of age. Int J Obes (Lond) 2024; 48:414-422. [PMID: 38123838 PMCID: PMC10965231 DOI: 10.1038/s41366-023-01441-y] [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: 08/07/2023] [Revised: 11/27/2023] [Accepted: 12/01/2023] [Indexed: 12/23/2023]
Abstract
BACKGROUND/OBJECTIVE Previous studies found conflicting results on the association between maternal gestational diabetes mellitus (GDM) and childhood overweight/obesity. This study was to assess the association between maternal GDM and offspring's adiposity risk from 6 to 8 years of age. METHODS The present study longitudinally followed 1156 mother-child pairs (578 GDM and 578 non-GDM) at 5.9 ± 1.2 years postpartum and retained 912 mother-child pairs (486 GDM and 426 non-GDM) at 8.3 ± 1.6 years postpartum. Childhood body mass index (BMI), waist circumference, body fat and skinfold were measured using standardized methods. RESULTS Compared with the counterparts born to mothers with normal glucose during pregnancy, children born to mothers with GDM during pregnancy had higher mean values of adiposity indicators (waist circumference, body fat, subscapular skinfold and suprailiac skinfold) at 5.9 and 8.3 years of age. There was a positive association of maternal GDM with changes of childhood adiposity indicators from the 5.9-year to 8.3-year visit, and β values were significantly larger than zero: +0.10 (95% CI: 0.02-0.18) for z score of BMI for age, +1.46 (95% CI: 0.70-2.22) cm for waist circumference, +1.78% (95% CI: 1.16%-2.40%) for body fat, +2.40 (95% CI: 1.78-3.01) mm for triceps skinfold, +1.59 (95% CI: 1.10-2.09) mm for subscapular skinfold, and +2.03 (95% CI: 1.35-2.71) mm for suprailiac skinfold, respectively. Maternal GDM was associated with higher risks of childhood overweight/obesity, central obesity, and high body fat (Odd ratios 1.41-1.57 at 5.9 years of age and 1.73-2.03 at 8.3 years of age) compared with the children of mothers without GDM. CONCLUSIONS Maternal GDM was a risk factor of childhood overweight/obesity at both 5.9 and 8.3 years of age, which was independent from several important confounders including maternal pre-pregnancy BMI, gestational weight gain, children's birth weight and lifestyle factors. This significant and positive association became stronger with age.
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Affiliation(s)
- Weiqin Li
- Tianjin Women's and Children's Health Center, Tianjin, China.
| | - Leishen Wang
- Tianjin Women's and Children's Health Center, Tianjin, China
| | - Huikun Liu
- Tianjin Women's and Children's Health Center, Tianjin, China
| | - Shuang Zhang
- Tianjin Women's and Children's Health Center, Tianjin, China
| | - Wei Li
- Tianjin Women's and Children's Health Center, Tianjin, China
| | - Junhong Leng
- Tianjin Women's and Children's Health Center, Tianjin, China
| | - Xilin Yang
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Zhijie Yu
- Population Cancer Research program, Dalhousie University, Halifax, NS, Canada
| | | | - Gang Hu
- Pennington Biomedical Research Center, Baton Rouge, LA, USA.
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Sneed NM, Heerman WJ, Shaw PA, Han K, Chen T, Bian A, Pugh S, Duda S, Lumley T, Shepherd BE. Associations Between Gestational Weight Gain, Gestational Diabetes, and Childhood Obesity Incidence. Matern Child Health J 2024; 28:372-381. [PMID: 37966561 PMCID: PMC10922599 DOI: 10.1007/s10995-023-03853-8] [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] [Accepted: 10/31/2023] [Indexed: 11/16/2023]
Abstract
INTRODUCTION Excessive maternal gestational weight gain (GWG) is strongly correlated with childhood obesity, yet how excess maternal weight gain and gestational diabetes mellitus (GDM) interact to affect early childhood obesity is poorly understood. The purpose of this study was to investigate whether overall and trimester-specific maternal GWG and GDM were associated with obesity in offspring by age 6 years. METHODS A cohort of 10,335 maternal-child dyads was established from electronic health records. Maternal weights at conception and delivery were estimated from weight trajectory fits using functional principal components analysis. Kaplan-Meier curves and Cox regression, together with generalized raking, examined time-to-childhood-obesity. RESULTS Obesity diagnosed prior to age 6 years was estimated at 19.7% (95% CI: 18.3, 21.1). Maternal weight gain during pregnancy was a strong predictor of early childhood obesity (p < 0.0001). The occurrence of early childhood obesity was lower among mothers with GDM compared with those without diabetes (adjusted hazard ratio = 0.58, p = 0.014). There was no interaction between maternal weight gain and GDM (p = 0.55). Higher weight gain during the first trimester was associated with lower risk of early childhood obesity (p = 0.0002) whereas higher weight gain during the second and third trimesters was associated with higher risk (p < 0.0001). DISCUSSION Results indicated total and trimester-specific maternal weight gain was a strong predictor of early childhood obesity, though obesity risk by age 6 was lower for children of mothers with GDM. Additional research is needed to elucidate underlying mechanisms directly related to trimester-specific weight gain and GDM that impede or protect against obesity prevalence during early childhood.
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Affiliation(s)
- Nadia M Sneed
- Department of Pediatrics, Vanderbilt University Medical Center, 2146 Belcourt Ave., Nashville, TN, 37212, USA.
- Center for Research Development and Scholarship, Vanderbilt University School of Nursing, 319E Godchaux Hall, Nashville, TN, 37240, USA.
| | - William J Heerman
- Department of Pediatrics, Vanderbilt University Medical Center, 2146 Belcourt Ave., Nashville, TN, 37212, USA
| | - Pamela A Shaw
- Biostatistics Unit, Kaiser Permanente Washington Health Research Institute, 1730 Minor Ave Suite 1600, Seattle, WA, 98101, USA
| | - Kyunghee Han
- Department of Mathematics, Statistics, and Computer Science, University of Illinois at Chicago, 851 S Morgan St, 503 Science and Engineering Offices, Chicago, IL, 60607, USA
| | - Tong Chen
- Department of Statistics, University of Auckland, 38 Princes St., Auckland, 1010, New Zealand
| | - Aihua Bian
- Department of Biostatistics, Vanderbilt University Medical Center, 2525 West End Ave., Room/Suite 11124, Nashville, TN, 37203, USA
| | - Shannon Pugh
- Department of Emergency Medicine, Vanderbilt University Medical Center, 1211 Medical Center Drive, Nashville, TN, 37232, USA
| | - Stephany Duda
- Department of Biomedical Informatics, Vanderbilt University Medical Center, 2525 West End Ave., Nashville, TN, 37203, USA
| | - Thomas Lumley
- Department of Statistics, University of Auckland, 38 Princes St., Auckland, 1010, New Zealand
| | - Bryan E Shepherd
- Department of Biostatistics, Vanderbilt University Medical Center, 2525 West End Ave., Room/Suite 11124, Nashville, TN, 37203, USA
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DeLacey S, Gurra M, Arzu J, Lowe LP, Lowe W, Scholtens D, Josefson JL. Leptin and adiposity measures from birth to later childhood: Findings from the Hyperglycemia and Adverse Pregnancy Outcomes Follow-Up Study. Pediatr Obes 2024; 19:e13087. [PMID: 38095062 PMCID: PMC10921990 DOI: 10.1111/ijpo.13087] [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: 06/19/2023] [Revised: 10/26/2023] [Accepted: 10/30/2023] [Indexed: 01/23/2024]
Abstract
BACKGROUND Cord blood (CB) leptin is positively associated with adiposity at birth, but the association with child adiposity is unclear. OBJECTIVES We hypothesized that CB leptin is positively associated with adiposity in peripubertal children and with childhood leptin. METHODS Leptin was measured in 986 CB and 931 childhood stored samples from a prospective birth cohort. Adiposity measures were collected at birth and mean age 11.5 years. Linear and logistic regression analyses were used to evaluate associations between log-transformed CB leptin and neonatal and childhood adiposity measures as continuous and categorical variables, respectively. RESULTS CB leptin was positively associated with neonatal and childhood adiposity. Childhood associations were attenuated when adjusted for maternal body mass index (BMI) and glucose, but remained statistically significant for childhood body fat percentage (β = 1.15%, confidence interval [CI] = 0.46-1.84), body fat mass (β = 0.69 kg, 95% CI = 0.16-1.23), sum of skin-folds (β = 1.77 mm, 95% CI = 0.31-3.24), log-transformed child serum leptin (β = 0.13, 95% CI = 0.06-0.20), overweight/obesity (OR = 1.21, 95% CI = 1.03-1.42), obesity (OR = 1.31, 95% CI = 1.04-1.66) and body fat percentage >85th percentile (OR = 1.38, 95% CI = 1.12-1.73). Positive associations between newborn adiposity measures and CB leptin confirmed previous reports. CONCLUSION CB leptin is positively associated with neonatal and childhood adiposity and child leptin levels, independent of maternal BMI and maternal hyperglycemia. CB leptin may be a biomarker of future adiposity risk.
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Affiliation(s)
- Sean DeLacey
- Department of Pediatrics, Division of Endocrinology, Ann & Robert H. Lurie Children’s Hospital of Chicago, Chicago, IL, United States
- Northwestern University Feinberg School of Medicine, Chicago, IL, United States
| | - Miranda Gurra
- Northwestern University Feinberg School of Medicine, Chicago, IL, United States
| | - Jennifer Arzu
- Northwestern University Feinberg School of Medicine, Chicago, IL, United States
| | - Lynn P. Lowe
- Northwestern University Feinberg School of Medicine, Chicago, IL, United States
| | - William Lowe
- Northwestern University Feinberg School of Medicine, Chicago, IL, United States
| | - Denise Scholtens
- Northwestern University Feinberg School of Medicine, Chicago, IL, United States
| | - Jami L. Josefson
- Department of Pediatrics, Division of Endocrinology, Ann & Robert H. Lurie Children’s Hospital of Chicago, Chicago, IL, United States
- Northwestern University Feinberg School of Medicine, Chicago, IL, United States
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Zheng W, Wang J, Li Y, Shang X, Ma K, Yuan X, Zhang K, Yang R, Ma Y, Li G. The association between gestational weight trajectories in women with gestational diabetes and their offspring's weight from birth to 40 months. Diabetol Metab Syndr 2024; 16:17. [PMID: 38217060 PMCID: PMC10790252 DOI: 10.1186/s13098-023-01239-y] [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] [Received: 07/10/2023] [Accepted: 12/09/2023] [Indexed: 01/14/2024] Open
Abstract
AIMS To identify the gestational weight gain (GWG) patterns in women with gestational diabetes mellitus (GDM) and evaluate their association with offspring weight status from birth to 40 months. MATERIALS AND METHODS This study included 2,723 GDM-mother-child pairs from the Beijing Birth Cohort Study. The association between GWG trajectories identified by the latent class model and offspring weight outcomes from birth to 40 months were evaluated, after adjustment for maternal age, parity, pre-pregnancy body mass index, maternal height, and blood glucose levels. RESULTS Three GWG rate groups, including the non-excessive GWG group (1,994/2,732), excessive GWG group (598 /2,732), and excessive early GWG group (140/2,732), were identified in women with GDM, respectively. Compared to the non-excessive GWG group, the adjusted OR (aOR) and 95% CI were 1.83 (1.35-2.47) and 1.79 (1.06-3.01) for macrosomia, 1.33 (1.07-1.66) and 1.48 (1.01-2.17) for large for gestational age (LGA) in the excessive GWG group and excessive early GWG group. Excessive GWG was also associated with an increased risk of BMI-for-age at 40 months (aOR = 1.66, 95% CI 1.14-2.42). CONCLUSIONS Both excessive GWG and excessive early GWG increased the risk of macrosomia and LGA in women with GDM, but only the excessive GWG was associated with childhood overweight/obesity. The results suggest the long-term impact of GWG on offspring weight status in women with GDM and the potential benefits of GWG restriction after GDM diagnosis.
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Affiliation(s)
- Wei Zheng
- Division of Endocrinology and Metabolism, Department of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, No 251, Yaojiayuan Road, Chaoyang District, Beijing, 100026, China
- Beijing Maternal and Child Health Care Hospital, Beijing, 100026, China
| | - Jia Wang
- Division of Endocrinology and Metabolism, Department of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, No 251, Yaojiayuan Road, Chaoyang District, Beijing, 100026, China
- Beijing Maternal and Child Health Care Hospital, Beijing, 100026, China
| | - Yichen Li
- Beijing Maternal and Child Health Care Hospital, Beijing, 100026, China
- Department of Children's Health Care, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, 100026, China
| | - Xiaorui Shang
- Beijing Maternal and Child Health Care Hospital, Beijing, 100026, China
- Department of Children's Health Care, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, 100026, China
| | - Kaiwen Ma
- Division of Endocrinology and Metabolism, Department of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, No 251, Yaojiayuan Road, Chaoyang District, Beijing, 100026, China
- Beijing Maternal and Child Health Care Hospital, Beijing, 100026, China
| | - Xianxian Yuan
- Division of Endocrinology and Metabolism, Department of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, No 251, Yaojiayuan Road, Chaoyang District, Beijing, 100026, China
- Beijing Maternal and Child Health Care Hospital, Beijing, 100026, China
| | - Kexin Zhang
- Division of Endocrinology and Metabolism, Department of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, No 251, Yaojiayuan Road, Chaoyang District, Beijing, 100026, China
- Beijing Maternal and Child Health Care Hospital, Beijing, 100026, China
| | - Ruihua Yang
- Division of Endocrinology and Metabolism, Department of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, No 251, Yaojiayuan Road, Chaoyang District, Beijing, 100026, China
- Beijing Maternal and Child Health Care Hospital, Beijing, 100026, China
| | - Yuru Ma
- Division of Endocrinology and Metabolism, Department of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, No 251, Yaojiayuan Road, Chaoyang District, Beijing, 100026, China
- Beijing Maternal and Child Health Care Hospital, Beijing, 100026, China
| | - Guanghui Li
- Division of Endocrinology and Metabolism, Department of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, No 251, Yaojiayuan Road, Chaoyang District, Beijing, 100026, China.
- Beijing Maternal and Child Health Care Hospital, Beijing, 100026, China.
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9
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Li N, Li J, Wang H, Qiao Y, Li W, Gao M, Liu E, Yu Z, Hu G, Fang Z, Leng J, Yang X. Serum Sulfur-Containing Amino Acids and Risk of Maternal Gestational Diabetes and Adverse Growth Patterns in Offspring. Nutrients 2023; 15:4089. [PMID: 37764871 PMCID: PMC10537007 DOI: 10.3390/nu15184089] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Revised: 09/15/2023] [Accepted: 09/20/2023] [Indexed: 09/29/2023] Open
Abstract
BACKGROUND To estimate associations of sulfur-containing amino acids (SAAs) in the early trimester of pregnancy and gestational diabetes mellitus (GDM) and estimate associations of maternal SAAs with adverse growth patterns in offspring. METHODS We established a 1:1 matched case-control study (n = 486) from our cohort of pregnant women, and 401 children were followed up at ages 1 to 8 years. We conducted binary conditional logistic regression to estimate the risk associations of serum SAAs with GDM. Multinomial logistic regression was implemented to explore associations of maternal SAAs with adverse growth patterns in the offspring. RESULTS High serum methionine and cystine were independently associated with increased GDM risk (OR: 1.92, 95%CI: 1.18-3.13 and 2.69, 1.59-4.53). Conversely, a low level of serum taurine was independently associated with increased GDM risk (2.61, 1.64-4.16). Maternal high cystine and low taurine were also associated with an increased risk of persistent obesity growth pattern (POGP) in offspring (OR: 2.79, 95%CI: 1.09-7.17 and 3.92, 1.11-13.89) and the effect was largely independent of GDM. CONCLUSIONS High serum methionine, cystine and low serum taurine in the early trimester of pregnancy were associated with a greatly increased risk of GDM. Maternal high cystine and low taurine were associated with elevated risk of offspring POGP, largely independent of GDM.
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Affiliation(s)
- Ninghua Li
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin 300070, China; (N.L.); (J.L.); (H.W.); (M.G.)
| | - Jing Li
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin 300070, China; (N.L.); (J.L.); (H.W.); (M.G.)
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin 300070, China;
- Tianjin Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin 300070, China
| | - Hui Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin 300070, China; (N.L.); (J.L.); (H.W.); (M.G.)
| | - Yijuan Qiao
- Project Office, Tianjin Women and Children’s Health Center, Tianjin 300070, China; (Y.Q.); (W.L.); (E.L.)
| | - Weiqin Li
- Project Office, Tianjin Women and Children’s Health Center, Tianjin 300070, China; (Y.Q.); (W.L.); (E.L.)
| | - Ming Gao
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin 300070, China; (N.L.); (J.L.); (H.W.); (M.G.)
| | - Enqing Liu
- Project Office, Tianjin Women and Children’s Health Center, Tianjin 300070, China; (Y.Q.); (W.L.); (E.L.)
| | - Zhijie Yu
- Population Cancer Research Program and Department of Pediatrics, Dalhousie University, Halifax, NS 15000, Canada;
| | - Gang Hu
- Chronic Disease Epidemiology Laboratory, Pennington Biomedical Research Center, Baton Rouge, LA 70808, USA;
| | - Zhongze Fang
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin 300070, China;
- Tianjin Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin 300070, China
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Tianjin Medical University, Tianjin 300070, China
| | - Junhong Leng
- Project Office, Tianjin Women and Children’s Health Center, Tianjin 300070, China; (Y.Q.); (W.L.); (E.L.)
| | - Xilin Yang
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin 300070, China; (N.L.); (J.L.); (H.W.); (M.G.)
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin 300070, China;
- Tianjin Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin 300070, China
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10
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Sun S, Pellowski J, Pisani C, Pandey D, Go M, Chu M, Ruan J, Werner EF. Experiences of stigma, psychological distress, and facilitative coping among pregnant people with gestational diabetes mellitus. BMC Pregnancy Childbirth 2023; 23:643. [PMID: 37679726 PMCID: PMC10486063 DOI: 10.1186/s12884-023-05949-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Accepted: 08/23/2023] [Indexed: 09/09/2023] Open
Abstract
BACKGROUND Gestational diabetes mellitus (GDM) has been rising in the United States, and it poses significant health risks to pregnant individuals and their infants. Prior research has shown that individuals with GDM also experience prevalent stress and mental health issues, which can further contribute to glucose regulation difficulties. Stigma associated with GDM may contribute to these mental health challenges, yet there is a lack of focused research on GDM-related stigma, its impact on psychological health, and effective coping mechanisms. Thus, this qualitative study aims to understand individuals' experiences related to GDM stigma, mental health, and facilitative coping. METHODS In-depth, semi-structured interviews were conducted with 14 individuals with a current or recent (within the last year) diagnosis of GDM. Thematic analysis was employed to guide data analysis. RESULTS Four themes emerged from data analysis: (1) experience of distal GDM stigma including stigmatizing provider interactions, stigma from non-medical spaces, and intersecting stigma with weight, (2) internalized GDM stigma, such as shame, guilt, and self-blame, (3) psychological distress, which included experiences of stress and overwhelm, excessive worry and fear, and loneliness and isolation, and (4) facilitative coping mechanisms, which included diagnosis acceptance, internet-based GDM community, active participation in GDM management, social and familial support, and time for oneself. CONCLUSIONS Findings demonstrate the relevance of GDM stigma in mental health among people with GDM and the need for addressing GDM stigma and psychological health in this population. Interventions that can reduce GDM stigma, improve psychological wellness, and enhance positive coping may facilitate successful GDM management and healthy birth outcomes. Future quantitative, theory-driven research is needed to understand the prevalence of GDM stigma experiences and mechanisms identified in the current study, as well as among marginalized populations (e.g., individuals of color, sexual and gender minorities).
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Affiliation(s)
- Shufang Sun
- Department of Behavioral and Social Sciences, Brown University School of Public Health, 121 S. Main St, Providence, RI, 02903, USA.
- International Health Institute, Brown University School of Public Health, Providence, USA.
- Mindfulness Center, Brown University School of Public Health, Providence, USA.
| | - Jennifer Pellowski
- Department of Behavioral and Social Sciences, Brown University School of Public Health, 121 S. Main St, Providence, RI, 02903, USA
- International Health Institute, Brown University School of Public Health, Providence, USA
| | | | - Diksha Pandey
- Watson Institute for International and Public Affairs, Brown University, Providence, USA
| | - Mallory Go
- The College at Brown University, Providence, USA
| | - MyDzung Chu
- Tufts Clinical and Translational Science Institute, Boston, USA
- Department of Obstetrics and Gynecology, Tufts Medical Center, Boston, USA
| | - Jenny Ruan
- Department of Obstetrics and Gynecology, Tufts Medical Center, Boston, USA
- Tufts University School of Medicine, Boston, USA
| | - Erika F Werner
- Department of Obstetrics and Gynecology, Tufts Medical Center, Boston, USA
- Tufts University School of Medicine, Boston, USA
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11
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Gao M, Li J, Li N, Li W, Zhang S, Zhang T, Wang H, Fang Z, Yu Z, Hu G, Leng J, Yang X. Circulating hyaluronidase in early pregnancy and increased risk of gestational diabetes in Chinese pregnant women: A nested case control study. Clin Chim Acta 2023; 548:117512. [PMID: 37598741 DOI: 10.1016/j.cca.2023.117512] [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: 05/28/2023] [Revised: 07/20/2023] [Accepted: 08/07/2023] [Indexed: 08/22/2023]
Abstract
BACKGROUND AND AIMS To explore association of serum hyaluronidase 1 (HYAL1) level in early pregnancy with gestational diabetes mellitus (GDM), and to examine interactive effects of HYAL1 with ceramides species on GDM risk. MATERIALS AND METHODS We conducted a 1:1 matched case-control study (n = 414) of pregnant women from 2010 to 2012 in Tianjin, China. Blood samples were collected at the first antenatal care visit (at a median of 10th gestational weeks). Binary conditional logistic regression and restricted cubic spline (RCS) analysis were used to examine full-range risk association between HYAL1 and GDM. Additive interactions and multiplicative interactions were employed to test interactive effects of HYAL1 with ceramides species on GDM risk. RESULTS Ln HYAL1 was linearly associated with GDM risk and the adjusted OR of HYAL1 ≥ vs. < its median for GDM was significant (1.65, 95%CI: 1.08-2.52). High HYAL1 markedly enhanced the ORs of high ceramide 18:0 for GDM from 2.31 (1.06-5.01) to 6.74 (2.85-16.0), and low ceramide 24:0 from 3.08 (1.33-7.11) to 8.15 (3.03-21.9), with significant additive interactions. CONCLUSIONS High HYAL1 in early pregnancy may increase the risk of GDM in Chinese women, possibly via enhancing the effects of high ceramide 18:0 and low ceramide 24:0 on GDM risk.
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Affiliation(s)
- Ming Gao
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin 300070, China
| | - Jing Li
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin 300070, China; Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin 300070, China; Tianjin Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin 300070, China
| | - Ninghua Li
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin 300070, China
| | - Weiqin Li
- Project Office, Tianjin Women and Children's Health Center, Tianjin 300070, China
| | - Shuang Zhang
- Project Office, Tianjin Women and Children's Health Center, Tianjin 300070, China
| | - Tao Zhang
- Project Office, Tianjin Women and Children's Health Center, Tianjin 300070, China
| | - Hui Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin 300070, China
| | - Zhongze Fang
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Tianjin Medical University, Tianjin 300070, China
| | - Zhijie Yu
- Population Cancer Research Program and Department of Pediatrics, Dalhousie University, 15000 Halifax, Canada
| | - Gang Hu
- Chronic Disease Epidemiology Laboratory, Pennington Biomedical Research Center, Baton Rouge, LA 70808, USA
| | - Junhong Leng
- Project Office, Tianjin Women and Children's Health Center, Tianjin 300070, China.
| | - Xilin Yang
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin 300070, China; Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin 300070, China; Tianjin Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin 300070, China.
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12
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Li N, Li J, Wang H, Liu J, Li W, Yang K, Huo X, Leng J, Yu Z, Hu G, Fang Z, Yang X. Aromatic Amino Acids and Their Interactions with Gut Microbiota-Related Metabolites for Risk of Gestational Diabetes: A Prospective Nested Case-Control Study in a Chinese Cohort. ANNALS OF NUTRITION & METABOLISM 2023; 79:291-300. [PMID: 37339616 DOI: 10.1159/000531481] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Accepted: 06/05/2023] [Indexed: 06/22/2023]
Abstract
INTRODUCTION The aim of this study was to explore associations of aromatic amino acids (AAA) in early pregnancy with gestational diabetes mellitus (GDM), and whether high AAA and gut microbiota-related metabolites had interactive effects on GDM risk. METHODS We conducted a 1:1 case-control study (n = 486) nested in a prospective cohort of pregnant women from 2010 to 2012. According to the International Association of Diabetes and Pregnancy Study Group's criteria, 243 women were diagnosed with GDM. Binary conditional logistic regression was performed to examine associations of AAA with GDM risk. Interactions between AAA and gut microbiota-related metabolites for GDM were examined using additive interaction measures. RESULTS High phenylalanine and tryptophan were associated with increased GDM risk (OR: 1.72, 95% CI: 1.07-2.78 and 1.66, 1.02-2.71). The presence of high trimethylamine (TMA) markedly increased the OR of high phenylalanine alone up to 7.95 (2.79-22.71), while the presence of low glycoursodeoxycholic acid (GUDCA) markedly increased the OR of high tryptophan alone up to 22.88 (5.28-99.26), both with significant additive interactions. Furthermore, high lysophosphatidylcholines (LPC18:0) mediated both interactive effects. CONCLUSIONS High phenylalanine may have an additive interaction with high TMA, while high tryptophan may have an additive interaction with low GUDCA toward increased risk of GDM, both being mediated via LPC18:0.
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Affiliation(s)
- Ninghua Li
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Jing Li
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China
- Tianjin Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, China
| | - Hui Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Jinnan Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Weiqin Li
- Project Office, Tianjin Women and Children's Health Center, Tianjin, China
| | - Kai Yang
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Xiaoxu Huo
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China
- Tianjin Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, China
| | - Junhong Leng
- Project Office, Tianjin Women and Children's Health Center, Tianjin, China
| | - Zhijie Yu
- Population Cancer Research Program and Department of Pediatrics, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Gang Hu
- Chronic Disease Epidemiology Laboratory, Pennington Biomedical Research Center, Baton Rouge, Louisiana, USA
| | - Zhongze Fang
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China
- Tianjin Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, China
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Xilin Yang
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China
- Tianjin Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, China
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13
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Giacometti C, Ludwig K, Guidi M, Colantuono E, Coracina A, Rigano M, Cassaro M, Ambrosi A. Gestational Diabetes-Placental Expression of Human Equilibrative Nucleoside Transporter 1 (hENT1): Is Delayed Villous Maturation an Adaptive Pattern? Diagnostics (Basel) 2023; 13:2034. [PMID: 37370929 DOI: 10.3390/diagnostics13122034] [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: 06/05/2023] [Revised: 06/09/2023] [Accepted: 06/10/2023] [Indexed: 06/29/2023] Open
Abstract
Gestational diabetes mellitus (GDM) is a metabolic disease that can affect placental villous maturation and villous vascularity. The main effects of GDM on placental growth are a delay of villous maturation (DVM) and decreased formation of vasculo-syncytial membranes (VSM). Human equilibrative nucleoside transporter-1 (hENT1) is an adenosine transporter expressed in the human umbilical vein endothelial cells (HUVEC) and human placental microvascular endothelium cells (hPMEC). Its role is crucial in maintaining physiological fetal adenosine levels during pregnancy, and its reduction has been described in GDM. Twenty-four placentas from pregnancies with a confirmed diagnosis of GDMd and twenty-four matched non-GDM placentas (controls) were retrospectively analyzed to investigate the immunohistochemical expression of hENT1 in HUVEC and hPMEC. The study included the quantitative evaluation of VSM/mm2 in placental tissue and the immunohistochemical quantitative evaluation of Ki-67, PHH3, and p57 in villous trophoblast. hENT1 expression was higher in all the vascular districts of the control cases compared to the GDMd placentas (p < 0.0001). The VSM/mm2 were lower in the GDMd cases, while the Ki-67, PHH3, and p57 were higher when compared to the control cases. To our knowledge, this is the first report of hENT1 expression in the human placentas of GDM patients. The absence/low expression of hENT1 in all the GDMd patients may indicate a potential role in microvascular adaptative mechanisms. The trophoblasts' proliferative/antiapoptotic pattern (high Ki-67, high PHH3, and high p57 count) may explain the statistically significant lower number of VSM/mm2 found in the GDMd cases.
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Affiliation(s)
- Cinzia Giacometti
- Pathology Unit, Department of Diagnostic Services, ULSS 6 "Euganea", 35131 Padova, Italy
| | - Kathrin Ludwig
- Pathology Unit, Department of Medicine, University of Padova, 35128 Padova, Italy
| | - Monica Guidi
- Gynecology & Obstretics Unit, Department of Women's Health, Cittadella Hospital, ULSS 6 "Euganea", 35013 Padova, Italy
| | - Elvira Colantuono
- Gynecology & Obstretics Unit, Department of Women's Health, Camposampiero Hospital, ULSS 6 "Euganea", 35012 Padova, Italy
| | - Anna Coracina
- Diabetology Unit, Department of Medicine, Camposampiero Hospital, ULSS 6 "Euganea", 35012 Padova, Italy
| | - Marcello Rigano
- Gynecology & Obstretics Unit, Department of Women's Health, Camposampiero Hospital, ULSS 6 "Euganea", 35012 Padova, Italy
| | - Mauro Cassaro
- Pathology Unit, Department of Diagnostic Services, ULSS 6 "Euganea", 35131 Padova, Italy
| | - Alessandro Ambrosi
- School of Medicine, Vita-Salute San Raffaele University, 20132 Milano, Italy
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14
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Wang H, Guo X, Song Q, Su W, Meng M, Sun C, Li N, Liang Q, Qu G, Liang M, Ding X, Sun Y. Association between the history of abortion and gestational diabetes mellitus: A meta-analysis. Endocrine 2023; 80:29-39. [PMID: 36357823 DOI: 10.1007/s12020-022-03246-x] [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: 06/03/2022] [Accepted: 10/30/2022] [Indexed: 11/12/2022]
Abstract
PURPOSE Gestational diabetes mellitus (GDM) is a common metabolic disease in pregnant women. The purpose of this study was to determine whether a history of abortion increases the risk of GDM by meta-analysis. METHODS A comprehensive literature search was conducted in nine databases of studies on the association between abortion history and GDM up to April 12, 2022. Fixed- or random-effects models were used to estimate the pooled odds ratio (OR) and 95% CI. The I square value (I2) was used to assess heterogeneity. Possible sources of heterogeneity were explored by conducting subgroup analysis and meta-regression. A sensitivity analysis was also performed for this meta-analysis. Publication bias was assessed by funnel plots and Egger's tests. RESULTS Thirty-one studies enrolling 311,900 subjects were included in this meta-analysis. The risk of GDM was higher in women who experienced abortion than in those who did not (OR = 1.41 95% CI: 1.28-1.55, I2 = 66.8%). The risk of GDM increased with an increasing number of abortions (1 time: OR = 1.67, 95% CI = 1.26-2.22; 2 times: OR = 2.10, 95% CI = 1.26-3.49; ≥3 times: OR = 2.49, 95% CI = 1.24-5.01). Both spontaneous abortion (OR = 1.52, 95% CI = 1.30-1.78) and induced abortion (OR = 1.07, 95% CI = 1.03-1.11) were associated with an increased risk of GDM. CONCLUSIONS A history of abortion was associated with an increased risk of GDM in pregnant women, which may be a risk factor for predicting GDM.
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Affiliation(s)
- Hao Wang
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Anhui, China
| | - Xianwei Guo
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Anhui, China
| | - Qiuxia Song
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Anhui, China
| | - Wanying Su
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Anhui, China
| | - Muzi Meng
- UK Program Site, American University of the Caribbean School of Medicine, Vernon Building Room 64, Sizer St, Preston, PR1 1JQ, United Kingdom
- Bronxcare Health System, 1650 Grand Concourse, The Bronx, NY, 10457, USA
| | - Chenyu Sun
- AMITA Health Saint Joseph Hospital Chicago, 2900 N. Lake Shore Drive, Chicago, IL, 60657, USA
| | - Ning Li
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Anhui, China
| | - Qiwei Liang
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Anhui, China
- Children's Hospital of Anhui Medical University, Anhui, China
| | - Guangbo Qu
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Anhui, China
| | - Mingming Liang
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Anhui, China
| | - Xiuxiu Ding
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Anhui, China
| | - Yehuan Sun
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Anhui, China.
- Chaohu Hospital, Anhui Medical University, Anhui, China.
- Center for Evidence-Based Practice, Anhui Medical University, Anhui, China.
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15
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Gao M, Wang H, Li W, Shao P, Li N, Liu J, Wang P, Zhang S, Li J, Yu Z, Hu G, Leng J, Yang X. Parental prepregnancy obesity and offspring overweight before two years of age among Chinese women with gestational diabetes. Prim Care Diabetes 2023; 17:85-90. [PMID: 36588047 DOI: 10.1016/j.pcd.2022.12.005] [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: 07/16/2022] [Revised: 11/25/2022] [Accepted: 12/26/2022] [Indexed: 12/31/2022]
Abstract
AIMS To examine the associations of parental obesity prior to pregnancy with offspring overweight before two years of age among children of Chinese women with gestational diabetes mellitus (GDM). METHODS Offspring of women with GDM (n = 774) who were diagnosed in 2010-2012 were followed up to two years of age in Tianjin, China. Multinomial logistic regression was used to obtain odds ratios (ORs) and 95% confidence interval (CI) of maternal and paternal prepregnancy obesity with offspring overweight at < 1, 1-1.5, and 1.5-2 years of age. RESULTS Among 774 offspring of women with GDM, 457 (59.0%) of the offspring developed overweight before two years of age. Maternal prepregnancy obesity was associated with increased risk of offspring overweight at 1-1.5 years of age and 1.5-2 years of age (ORs: 1.98, 95%CI: 1.09-3.59 & 2.14, 1.10-4.15, respectively). Paternal prepregnancy obesity was only associated with elevated risk of offspring overweight at 1.5-2 years of age (1.82, 1.08-3.06). Furthermore, copresence of both maternal and paternal obesity prior to pregnancy had an additive effect on the risk of offspring overweight at 1.5-2 years of age (3.73, 1.50-9.27). CONCLUSIONS Parental prepregnancy obesity predicted offspring overweight before two years of age among children of Chinese women with GDM.
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Affiliation(s)
- Ming Gao
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Hui Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Weiqin Li
- Project Office, Tianjin Women and Children's Health Centre, Tianjin, China
| | - Ping Shao
- Project Office, Tianjin Women and Children's Health Centre, Tianjin, China
| | - Ninghua Li
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Jinnan Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Peng Wang
- Project Office, Tianjin Women and Children's Health Centre, Tianjin, China
| | - Shuang Zhang
- Project Office, Tianjin Women and Children's Health Centre, Tianjin, China
| | - Jing Li
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China; Tianjin Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin Medical University, Tianjin, China; Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin Medical University, Tianjin, China
| | - Zhijie Yu
- Population Cancer Research Program, Dalhousie University, Halifax, NS, Canada
| | - Gang Hu
- Chronic Disease Epidemiology Laboratory, Pennington Biomedical Research Center, Baton Rouge, LA, USA
| | - Junhong Leng
- Project Office, Tianjin Women and Children's Health Centre, Tianjin, China.
| | - Xilin Yang
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China; Tianjin Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin Medical University, Tianjin, China; Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin Medical University, Tianjin, China.
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16
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Wu Y, Zeng Y, Zhang Q, Xiao X. The Role of Maternal Vitamin D Deficiency in Offspring Obesity: A Narrative Review. Nutrients 2023; 15:nu15030533. [PMID: 36771240 PMCID: PMC9919568 DOI: 10.3390/nu15030533] [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: 12/08/2022] [Revised: 01/11/2023] [Accepted: 01/17/2023] [Indexed: 01/20/2023] Open
Abstract
Currently, vitamin D (VD) deficiency during pregnancy is widespread globally, causing unfavorable pregnancy outcomes for both mothers and infants for a longer time than expected, based on the Developmental Origins of Health and Disease (DOHaD) theory. As VD plays a key role in maintaining normal glucose and lipid metabolism, maternal VD deficiency may lead to obesity and other obesity-related diseases among offspring later in life. This review mainly focuses on the effect of maternal VD deficiency on offspring lipid metabolism, reviewing previous clinical and animal studies to determine the effects of maternal VD deficit on offspring obesity and potential mechanisms involved in the progression of offspring obesity. Emerging clinical evidence shows that a low VD level may lead to abnormal growth (either growth restriction or largeness for gestational age) and lipid and glucose metabolism disorders in offspring. Here, we also outline the link between maternal VD deficiency and life-long offspring effects, including the disorder of adipogenesis, the secretion of adipocytokines (including leptin, resistin, and adiponectin), activated systemic inflammation, increased oxidative reactions in adipose tissue, insulin resistance, and abnormal intestinal gut microbiota. Thus, there is an urgent need to take active steps to address maternal VD deficiency to relieve the global burden of obesity.
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Affiliation(s)
- Yifan Wu
- Key Laboratory of Endocrinology, Ministry of Health, Department of Endocrinology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Yuan Zeng
- Key Laboratory of Endocrinology, Ministry of Health, Department of Endocrinology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Qian Zhang
- Key Laboratory of Endocrinology, Ministry of Health, Department of Endocrinology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing 100730, China
- Correspondence: (Q.Z.); (X.X.); Tel./Fax: +86-10-69155073 (Q.Z. & X.X.)
| | - Xinhua Xiao
- Key Laboratory of Endocrinology, Ministry of Health, Department of Endocrinology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing 100730, China
- State Key Laboratory of Complex Severe and Rare Diseases, The Translational Medicine Center of Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing 100730, China
- Correspondence: (Q.Z.); (X.X.); Tel./Fax: +86-10-69155073 (Q.Z. & X.X.)
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Wang H, Li J, Liu J, Leng J, Li W, Yu Z, Tam CHT, Hu G, Ma RCW, Fang Z, Wang Y, Yang X. Interactions of CDKAL1 rs7747752 polymorphism and serum levels of L-carnitine and choline are related to increased risk of gestational diabetes mellitus. GENES & NUTRITION 2022; 17:14. [PMID: 36183068 PMCID: PMC9526259 DOI: 10.1186/s12263-022-00716-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Accepted: 09/20/2022] [Indexed: 11/10/2022]
Abstract
BACKGROUND Interactions between genetic, metabolic, and environmental factors lead to gestational diabetes mellitus (GDM). We aimed to examine interactive effects of cyclin-dependent kinase 5 regulatory subunit-associated protein1-like 1(CDKAL1) rs7747752 polymorphism with low serum levels of L-carnitine, choline, and betaine for GDM. METHODS A nested case-control study of 207 GDM women and their one-to-one, age-matched controls was organized from a prospective cohort of pregnant women in Tianjin, China. Conditional logistic regressions were used to test associations between CDKAL1 rs7747752 and serum levels of L-carnitine, choline, and betaine, and the risk of GDM. Additive interactions were performed to examine interactive effects of rs7747752 and low serum levels of L-carnitine, choline, and betaine on the risk of GDM. RESULTS The CDKAL1 rs7747752 G > C was associated with GDM in additive, dominant, and recessive model (P <0.05). The rs7747752 CC genotype enhanced the OR of L-carnitine ≤ vs. > 150 nmol/mL for GDM from 6.14 (2.61-14.4) to 19.6 (5.65-68.1) and the OR of choline ≤ vs. > 110 nmol/mL from 2.37 (1.07-5.28) to 12.1 (3.22-45.6), with significant additive interactions. Similarly, CG genotype also enhanced the OR of L-carnitine ≤ vs. > 150 nmol/mL for GDM from 4.70 (2.01-11.0) to 11.4 (3.98-32.9), with a significant additive interaction. However, the additive interaction between rs7747752 and betaine ≤ 200 nmol/mL on the risk of GDM was not significant. CONCLUSIONS The CC or CG genotype carriers in rs7747752 of CDKAL1 who have a low serum level of L-carnitine or choline are at a particular high risk of GDM. Randomized controlled trials are warranted to test the effect of supplement of L-carnitine or choline on the risk of GDM in the high-risk group.
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Affiliation(s)
- Hui Wang
- grid.265021.20000 0000 9792 1228Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, 300070 China
| | - Jing Li
- grid.265021.20000 0000 9792 1228Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, 300070 China ,grid.265021.20000 0000 9792 1228Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin Medical University, Tianjin, 300070 China ,grid.265021.20000 0000 9792 1228Tianjin Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin Medical University, Tianjin, 300070 China
| | - Jinnan Liu
- grid.265021.20000 0000 9792 1228Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, 300070 China
| | - Junhong Leng
- Project Office, Tianjin Women and Children’s Health Center, Tianjin, 300041 China
| | - Weiqin Li
- Project Office, Tianjin Women and Children’s Health Center, Tianjin, 300041 China
| | - Zhijie Yu
- grid.55602.340000 0004 1936 8200Population Cancer Research Program and Department of Pediatrics, Dalhousie University, Halifax, B3H 4R2 Canada
| | - Claudia H. T. Tam
- grid.10784.3a0000 0004 1937 0482Department 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
- grid.250514.70000 0001 2159 6024Chronic Disease Epidemiology Laboratory, Pennington Biomedical Research Center, Baton Rouge, Louisiana 70808 USA
| | - Ronald C. W. Ma
- grid.10784.3a0000 0004 1937 0482Department 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
| | - Zhongze Fang
- grid.265021.20000 0000 9792 1228Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin Medical University, Tianjin, 300070 China ,grid.265021.20000 0000 9792 1228Tianjin Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin Medical University, Tianjin, 300070 China ,grid.265021.20000 0000 9792 1228Department of Toxicology and Sanitary Chemistry, School of Public Health, Tianjin Medical University, Tianjin, 300070 China
| | - Ying Wang
- grid.410560.60000 0004 1760 3078Scientific Research Platform of the Second School of Clinical Medicine & Key Laboratory of 3D Printing Technology in Stomatology, Guangdong Medical University, Dongguan, 523808 Guangdong China
| | - Xilin Yang
- grid.265021.20000 0000 9792 1228Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, 300070 China ,grid.265021.20000 0000 9792 1228Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin Medical University, Tianjin, 300070 China ,grid.265021.20000 0000 9792 1228Tianjin Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin Medical University, Tianjin, 300070 China
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Ormazabal V, Nair S, Carrión F, Mcintyre HD, Salomon C. The link between gestational diabetes and cardiovascular diseases: potential role of extracellular vesicles. Cardiovasc Diabetol 2022; 21:174. [PMID: 36057662 PMCID: PMC9441052 DOI: 10.1186/s12933-022-01597-3] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Accepted: 08/05/2022] [Indexed: 11/25/2022] Open
Abstract
Extracellular vesicles are critical mediators of cell communication. They encapsulate a variety of molecular cargo such as proteins, lipids, and nucleic acids including miRNAs, lncRNAs, circular RNAs, and mRNAs, and through transfer of these molecular signals can alter the metabolic phenotype in recipient cells. Emerging studies show the important role of extracellular vesicle signaling in the development and progression of cardiovascular diseases and associated risk factors such as type 2 diabetes and obesity. Gestational diabetes mellitus (GDM) is hyperglycemia that develops during pregnancy and increases the future risk of developing obesity, impaired glucose metabolism, and cardiovascular disease in both the mother and infant. Available evidence shows that changes in maternal metabolism and exposure to the hyperglycemic intrauterine environment can reprogram the fetal genome, leaving metabolic imprints that define life-long health and disease susceptibility. Understanding the factors that contribute to the increased susceptibility to metabolic disorders of children born to GDM mothers is critical for implementation of preventive strategies in GDM. In this review, we discuss the current literature on the fetal programming of cardiovascular diseases in GDM and the impact of extracellular vesicle (EV) signaling in epigenetic programming in cardiovascular disease, to determine the potential link between EV signaling in GDM and the development of cardiovascular disease in infants.
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Affiliation(s)
- Valeska Ormazabal
- Exosome Biology Laboratory, Centre for Clinical Diagnostics, UQ Centre for Clinical Research, Royal Brisbane and Women's Hospital, Faculty of Medicine + Biomedical Sciences, The University of Queensland, Building 71/918, Herston, QLD, 4029, Australia.,Faculty of Biological Sciences, Pharmacology Department, University of Concepcion, Concepción, Chile
| | - Soumyalekshmi Nair
- Exosome Biology Laboratory, Centre for Clinical Diagnostics, UQ Centre for Clinical Research, Royal Brisbane and Women's Hospital, Faculty of Medicine + Biomedical Sciences, The University of Queensland, Building 71/918, Herston, QLD, 4029, Australia
| | - Flavio Carrión
- Departamento de Investigación, Postgrado y Educación Continua (DIPEC), Facultad de Ciencias de la Salud, Universidad del Alba, Santiago, Chile
| | - H David Mcintyre
- Mater Research, Faculty of Medicine, University of Queensland, Mater Health, South Brisbane, Australia
| | - Carlos Salomon
- Exosome Biology Laboratory, Centre for Clinical Diagnostics, UQ Centre for Clinical Research, Royal Brisbane and Women's Hospital, Faculty of Medicine + Biomedical Sciences, The University of Queensland, Building 71/918, Herston, QLD, 4029, Australia. .,Departamento de Investigación, Postgrado y Educación Continua (DIPEC), Facultad de Ciencias de la Salud, Universidad del Alba, Santiago, Chile.
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19
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Ochoa‐Moreno I, Hanson M. Obesity and diabetes in pregnancy: a perfect storm for transgenerational health. PRACTICAL DIABETES 2022. [DOI: 10.1002/pdi.2403] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Affiliation(s)
- Ivan Ochoa‐Moreno
- Institute of Developmental Sciences, School of Human Development and Health, Faculty of Medicine, University of Southampton Southampton UK
| | - Mark Hanson
- Institute of Developmental Sciences, School of Human Development and Health, Faculty of Medicine, University of Southampton Southampton UK
- Southampton NIHR Biomedical Research Centre University Hospital Southampton UK
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20
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Li N, Li J, Wang H, Liu J, Li W, Yang K, Huo X, Leng J, Yu Z, Hu G, Fang Z, Yang X. Branched-Chain Amino Acids and Their Interactions With Lipid Metabolites for Increased Risk of Gestational Diabetes. J Clin Endocrinol Metab 2022; 107:e3058-e3065. [PMID: 35271718 PMCID: PMC9891107 DOI: 10.1210/clinem/dgac141] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/05/2022] [Indexed: 02/04/2023]
Abstract
OBJECTIVE We aimed to explore associations of branched-chain amino acids (BCAA) in early pregnancy with gestational diabetes mellitus (GDM), and whether high BCAAs and lipidomics markers had interactive effects on the risk of GDM. METHODS We conducted a 1:1 case-control study (n = 486) nested in a prospective cohort of pregnant women in Tianjin, China. Blood samples were collected at their first antenatal care visit (median 10 gestational weeks). Serum BCAAs, saturated fatty acids (SFA) and lysophosphatidylcholines (LPC) were measured by liquid chromatography-tandem mass spectrometry analysis. Conditional logistic regression was performed to examine associations of BCAAs with the risk of GDM. Interactions between high BCAAs and high SFA16:0 for GDM were examined using additive interaction measures. RESULTS High serum valine, leucine, isoleucine, and total BCAAs were associated with markedly increased risk of GDM (OR of top vs bottom tertiles: 1.91 [95% CI, 1.22-3.01]; 1.87 [1.20-2.91]; 2.23 [1.41-3.52]; 1.93 [1.23-3.02], respectively). The presence of high SFA16:0 defined as ≥ 17.1 nmol/mL (ie, median) markedly increased the ORs of high leucine alone and high isoleucine alone up to 4.56 (2.37-8.75) and 4.41 (2.30-8.43) for the risk of GDM, with significant additive interaction. After adjustment for LPCs, the ORs were greatly elevated (6.33, 2.25-17.80 and 6.53, 2.39-17.86) and the additive interactions became more significant. CONCLUSION BCAAs in early pregnancy were positively associated with the risk of GDM, and high levels of leucine and isoleucine enhanced the risk association of high SFA16:0 with GDM, independent of LPCs.
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Affiliation(s)
| | | | - Hui Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Jinnan Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Weiqin Li
- Project Office, Tianjin Women and Children’s Health Center, Tianjin, China
| | - Kai Yang
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Xiaoxu Huo
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China
- Tianjin Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, China
| | - Junhong Leng
- Project Office, Tianjin Women and Children’s Health Center, Tianjin, China
| | - Zhijie Yu
- Population Cancer Research Program and Department of Pediatrics, Dalhousie University
Halifax, Canada
| | - Gang Hu
- Chronic Disease Epidemiology Laboratory, Pennington Biomedical Research Center, Baton Rouge, Louisiana, USA
| | - Zhongze Fang
- Prof. Zhongze Fang, Department of Toxicology, School of Public Health, Tianjin Medical University, 22 Qixiangtai Road, Heping District, Tianjin 300070, China.
| | - Xilin Yang
- Correspondence: Prof. Xilin Yang, P.O. Box 154, School of Public Health, Tianjin Medical University, 22 Qixiangtai Road, Heping District, Tianjin 300070, China. ; or
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21
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Zhao R, Zhou L, Lei G, Wang S, Li Y, Yang X, Xiong G, Hao L. Dietary Acid Load Is Positively Associated With Risk of Gestational Diabetes Mellitus in a Prospective Cohort of Chinese Pregnant Women. Front Nutr 2022; 9:892698. [PMID: 35694169 PMCID: PMC9184257 DOI: 10.3389/fnut.2022.892698] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Accepted: 05/09/2022] [Indexed: 11/16/2022] Open
Abstract
Background Growing evidence suggests that dietary acid load plays an important role in the development of type 2 diabetes. However, prospective studies on the relationship between dietary acid load and gestational diabetes mellitus (GDM) are limited in the pregnant population. This study aimed to investigate the effect of dietary acid load during early pregnancy on the risk of GDM in Chinese pregnant women. Methods A total of 1,327 pregnant women were enrolled from an ongoing prospective study of the Tongji Birth cohort (TJBC) in Wuhan, China. Dietary intake was assessed before 20 weeks using a 74-item semiquantitative food frequency questionnaire (FFQ). The dietary acid load was estimated using potential renal acid load (PRAL), net endogenous acid production (NEAP), and animal protein to potassium ratio (A:P ratio). A 75g 2-h oral glucose tolerance test (OGTT) was performed at 24-28 gestational weeks to diagnose GDM. Results The mean (standard deviation) values for PRAL score, NEAP score, and A:P ratio were 0.8 ± 11.3 mEq/day, 45.3 ± 16.5 mEq/day, and 9.8 ± 6.0, respectively. There was a significant positive correlation of dietary acid load with the intake of red meat, poultry, fish, and eggs, and a negative correlation with the intake of vegetables, fruits, nuts, and legumes (all P < 0.05). Compared to the lowest tertile, the highest tertile of dietary acid load, including PRAL score (odds ratio [OR]: 2.26, 95% confidence interval [CI] = 1.38–3.71, P-trend = 0.002), NEAP score (OR: 2.02, 95% CI = 1.25–3.27, P-trend = 0.009), and A:P ratio (2.08, 95% CI = 1.30–3.31, P-trend = 0.005), significantly increased the risk of GDM. In addition, the dietary acid load was also significantly associated with an increase in 1-h and 2-h post-load blood glucose concentrations (all P-trend < 0.05). Conclusion We found a significant positive association between dietary acid load during early pregnancy and the risk of GDM in a Chinese population, suggesting that the reduction of food sources of dietary acid load may be an effective strategy for preventing the risk of GDM.
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Affiliation(s)
- Rui Zhao
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety and the Ministry of Education (MOE) Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Leilei Zhou
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety and the Ministry of Education (MOE) Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Gang Lei
- The Central Hospital of Wuhan, Wuhan, China
| | - Shanshan Wang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety and the Ministry of Education (MOE) Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yan Li
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety and the Ministry of Education (MOE) Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xuefeng Yang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety and the Ministry of Education (MOE) Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Guoping Xiong
- The Central Hospital of Wuhan, Wuhan, China
- *Correspondence: Guoping Xiong,
| | - Liping Hao
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety and the Ministry of Education (MOE) Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Liping Hao,
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22
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Wang H, Li J, Leng J, Li W, Liu J, Yan X, Yu Z, Hu G, Ma RCW, Fang Z, Wang Y, Yang X. The CDKAL1 rs7747752-Bile Acids Interaction Increased Risk of Gestational Diabetes Mellitus: A Nested Case-Control Study. Front Endocrinol (Lausanne) 2022; 13:808956. [PMID: 35360068 PMCID: PMC8960111 DOI: 10.3389/fendo.2022.808956] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/04/2021] [Accepted: 02/16/2022] [Indexed: 11/19/2022] Open
Abstract
AIMS The study aimed to explore additive interactions of CDKAL1 rs7747752 and GUDCA/DCA for GDM risk and whether the interactive effects on the risk of GDM was mediated via increasing lysophosphatidylcholines (LPC) 18:0 and/or saturated fatty acid (SFA) 16:0. METHODS A 1:1 age-matched study nested in a prospective cohort of pregnant women (207 pairs) was organized in Tianjin, China. Additive interactions were used to test interaction effects while mediation analyses and Sobel tests were used to test mediation effects of LPC18:0 and SFA16:0 between copresence of rs7747752 and low GUDCA/DCA, and GDM risk. RESULTS The CDKAL1 rs7747752 was associated with GDM (P<0.05). The rs7747752 C polymorphism markedly enhanced ORs of low GUDCA from 4.04 (0.72-22.8) to 9.02 (1.63-49.7) and low DCA from 1.67 (0.68-4.11) to 4.24 (1.84-9.76), both with significant additive interactions. Further adjustment for LPC18:0 attenuated the interactive effects of rs7747752 and low DCA, with a significant mediation effect (P=0.003). High SFA16:0 did not mediate the interactive effects of rs7747752 and low DCA/GUDCA on GDM risk. CONCLUSIONS The CDKAL1 rs7747752 C carrier status and low GUDCA/DCA had significant additive interactions on the risk of GDM with the effect from interaction with DCA being partially mediated via increasing LPC18:0.
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Affiliation(s)
- Hui Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Jing Li
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin Medical University, Tianjin, China
- Tianjin Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin Medical University, Tianjin, China
| | - Junhong Leng
- Project Office, Tianjin Women and Children’s Health Center, Tianjin, China
| | - Weiqin Li
- Project Office, Tianjin Women and Children’s Health Center, Tianjin, China
| | - Jinnan Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Xiaoyan Yan
- School of Public Health, Shanxi Medical University, Shanxi, China
| | - Zhijie Yu
- Population Cancer Research Program and Department of Pediatrics, Dalhousie University, Halifax, NS, Canada
| | - Gang Hu
- Chronic Disease Epidemiology Laboratory, Pennington Biomedical Research Center, Baton Rouge, LA, United States
| | - 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, Hong Kong SAR, China
| | - Zhongze Fang
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin Medical University, Tianjin, China
- Tianjin Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin Medical University, Tianjin, China
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Tianjin Medical University, Tianjin, China
- *Correspondence: Xilin Yang, ; ; Ying Wang, ; Zhongze Fang,
| | - Ying Wang
- Scientific Research Platform of the Second School of Clinical Medicine & Key Laboratory of 3D Printing Technology in Stomatology, Guangdong Medical University, Dongguan, China
- *Correspondence: Xilin Yang, ; ; Ying Wang, ; Zhongze Fang,
| | - Xilin Yang
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin Medical University, Tianjin, China
- Tianjin Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin Medical University, Tianjin, China
- *Correspondence: Xilin Yang, ; ; Ying Wang, ; Zhongze Fang,
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