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Holthaus E, O'Neill M, Jeske W, DeChristopher P, Goodman J, Glynn L, Levin S, Muraskas J. Endocan: A biomarker for endothelial dysfunction and inflammation, linking maternal obesity and pediatric obesity in a cohort of preterm neonates. Eur J Obstet Gynecol Reprod Biol 2024; 297:132-137. [PMID: 38626514 DOI: 10.1016/j.ejogrb.2024.04.013] [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: 07/30/2023] [Revised: 04/08/2024] [Accepted: 04/10/2024] [Indexed: 04/18/2024]
Abstract
OBJECTIVES Numerous animal and epidemiologic studies have demonstrated a positive association between maternal obesity in pregnancy and obesity in offspring. The biologic mechanisms of this association remain under investigation. One proposed mechanism includes fetoplacental endothelial dysfunction secondary to inflammation. Endocan is a relatively new biomarker for endothelial dysfunction and inflammation. Our objectives were to examine (1) the association between maternal obesity and neonatal serum endocan at birth, and (2) the association between neonatal serum endocan at birth and pediatric obesity at 24-36 months of age. STUDY DESIGN This was a secondary analysis of a prospective cohort of neonates born < 33 weeks gestation. Serum endocan was collected within 48 hours of birth. Serum endocan levels were compared in neonates born to obese mothers vs. those born to non-obese mothers. BMI data were retrospectively collected from cohort neonates between 24 and 36 months of age. RESULTS The analysis included 120 mother/neonate dyads. Neonates born to obese mothers had higher median serum endocan at birth compared to neonates born to non-obese mothers (299 ng/L [205-586] vs. 251 ng/L [164-339], p = 0.045). In a linear regression modeled on neonatal serum endocan level, maternal obesity had a statistically significant positive association (p = 0.021). Higher mean serum endocan level at birth was associated with pediatric obesity between 24 and 36 months (obese vs. non-obese offspring; 574 ng/L (222) vs. 321 ng/L (166), p = 0.005). CONCLUSIONS In our cohort of preterm neonates, elevated serum endocan at birth was associated with both maternal obesity and downstream pediatric obesity. More research is needed to understand intergenerational transmission of obesity. A large focus has been on epigenetic modification. Endothelial dysfunction and inflammation may play important roles in these pathways. Effective biomarkers, including endocan, may also serve as intermediate outcomes in future pregnancy research.
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Affiliation(s)
- E Holthaus
- Maternal Fetal Medicine, Loyola University Medical Center, 2160 S. 1(st) Ave, Maywood, IL 60153, USA.
| | - M O'Neill
- Loyola University Stritch School of Medicine, 2160 S. 1(st) Ave, Maywood, IL 60153, USA
| | - W Jeske
- Thoracic and Cardiovascular Surgery, Cell and Molecular Physiology, Loyola University Chicago, 2160 S. 1(st) Ave, Maywood, IL 60153, USA
| | - P DeChristopher
- Pathology and Laboratory Medicine, Transfusion Medicine. Loyola University Medical Center, 2160 S. 1(st) Ave, Maywood, IL 60153, USA
| | - J Goodman
- Maternal Fetal Medicine, University of Missouri School of Medicine, MU Women's Hospital, 404 N Keene St, Columbia, MO 65201, USA
| | - L Glynn
- Pediatric Surgery, NYU Langone Hospital, 120 Mineola Blvd, Suite 210, Mineola, NY 11501, USA
| | - S Levin
- Neonatal Perinatal. University of Oklahoma College of Medicine, 1200 North Everett Drive, ETNP 7504, Oklahoma City, OK, 73104, USA
| | - J Muraskas
- Neonatal-Perinatal Research, Neonatology, Loyola University Medical Center, 2160 S. 1(st) Ave, Maywood, IL 60153, USA
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Talebi S, Mehrabani S, Ghoreishy SM, Wong A, Moghaddam A, Feyli PR, Amirian P, Zarpoosh M, Kermani MAH, Moradi S. The association between ultra-processed food and common pregnancy adverse outcomes: a dose-response systematic review and meta-analysis. BMC Pregnancy Childbirth 2024; 24:369. [PMID: 38750456 PMCID: PMC11097443 DOI: 10.1186/s12884-024-06489-w] [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: 01/18/2024] [Accepted: 04/07/2024] [Indexed: 05/18/2024] Open
Abstract
OBJECTIVES Given the increasing incidence of negative outcomes during pregnancy, our research team conducted a dose-response systematic review and meta-analysis to investigate the relationship between ultra-processed foods (UPFs) consumption and common adverse pregnancy outcomes including gestational diabetes mellitus (GDM), preeclampsia (PE), preterm birth (PTB), low birth weight (LBW), and small for gestational age (SGA) infants. UPFs are described as formulations of food substances often modified by chemical processes and then assembled into ready-to-consume hyper-palatable food and drink products using flavors, colors, emulsifiers, and other cosmetic additives. Examples include savory snacks, reconstituted meat products, frozen meals that have already been made, and soft drinks. METHODS A comprehensive search was performed using the Scopus, PubMed, and Web of Science databases up to December 2023. We pooled relative risk (RR) and 95% confidence intervals (CI) using a random-effects model. RESULTS Our analysis (encompassing 54 studies with 552,686 individuals) revealed a significant association between UPFs intake and increased risks of GDM (RR = 1.19; 95% CI: 1.10, 1.27; I2 = 77.5%; p < 0.001; studies = 44; number of participants = 180,824), PE (RR = 1.28; 95% CI: 1.03, 1.59; I2 = 80.0%; p = 0.025; studies = 12; number of participants = 54,955), while no significant relationships were found for PTB, LBW and SGA infants. Importantly, a 100 g increment in UPFs intake was related to a 27% increase in GDM risk (RR = 1.27; 95% CI: 1.07, 1.51; I2 = 81.0%; p = 0.007; studies = 9; number of participants = 39,812). The non-linear dose-response analysis further indicated a positive, non-linear relationship between UPFs intake and GDM risk Pnonlinearity = 0.034, Pdose-response = 0.034), although no such relationship was observed for PE (Pnonlinearity = 0.696, Pdose-response = 0.812). CONCLUSION In summary, both prior to and during pregnancy, chronic and excessive intake of UPFs is associated with an increased risk of GDM and PE. However, further observational studies, particularly among diverse ethnic groups with precise UPFs consumption measurement tools, are imperative for a more comprehensive understanding.
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Affiliation(s)
- Sepide Talebi
- Students' Scientific Research Center (SSRC), Tehran University of Medical Sciences, Tehran, Iran
- Department of Clinical Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
| | - Sanaz Mehrabani
- Food Security Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Seyed Mojtaba Ghoreishy
- Department of Nutrition, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
- Student research committee, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
| | - Alexei Wong
- Department of Health and Human Performance, Marymount University, Arlington, VA, USA
| | - Aliasghar Moghaddam
- Department of Clinical Sciences, Faculty of Veterinary Medicine, Razi University, Kermanshah, Iran
| | - Peyman Rahimi Feyli
- Department of Clinical Sciences, Faculty of Veterinary Medicine, Razi University, Kermanshah, Iran
| | - Parsa Amirian
- General Practitioner, Kermanshah University of Medical Sciences (KUMS), Kermanshah, Iran
| | - Mahsa Zarpoosh
- General Practitioner, Kermanshah University of Medical Sciences (KUMS), Kermanshah, Iran
| | - Mohammad Ali Hojjati Kermani
- Clinical Tuberculosis and Epidemiology Research Center, National Research Institute of Tuberculosis and Lung Diseases (NRITLD), Masih Daneshvari Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Sajjad Moradi
- Department of Nutrition and Food Sciences, Research Center for Evidence-Based Health Management, Maragheh University of Medical Sciences, Maragheh, Iran.
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Polsky S, Valent AM, Isganaitis E, Castorino K, O'Malley G, Beck SE, Gao P, Laffel LM, Brown FM, Levy CJ. Performance of the Dexcom G7 Continuous Glucose Monitoring System in Pregnant Women with Diabetes. Diabetes Technol Ther 2024; 26:307-312. [PMID: 38315503 PMCID: PMC11058415 DOI: 10.1089/dia.2023.0516] [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] [Indexed: 02/07/2024]
Abstract
Background: We evaluated accuracy and safety of a seventh-generation real-time continuous glucose monitoring (CGM) system during pregnancy. Materials and Methods: Evaluable data for accuracy analysis were obtained from 96 G7 sensors (Dexcom, Inc.) worn by 96 of 105 enrolled pregnant women with type 1 (n = 59), type 2 (n = 21), or gestational diabetes (n = 25). CGM values were compared with arterialized venous glucose values from the YSI comparator instrument during 6-h clinic sessions at different time points throughout the sensors' 10-day wear period. The primary endpoint was the proportion of CGM values in the 70-180 mg/dL range within 15% of comparator glucose values. Secondary endpoints included the proportion of CGM values within 20% or 20 mg/dL of comparator values ≥ or <100 mg/dL, respectively (the %20/20 agreement rate). Results: Of the 1739 pairs with CGM in the 70-180 mg/dL range, 83.2% were within 15% of comparator values. The lower bound of the 95% confidence interval was 79.8%. Of the 2102 pairs with CGM values in the 40-400 mg/dL range, the %20/20 agreement rate was 92.5%. Of the 1659 pairs with comparator values in the 63-140 mg/dL range, the %20/20 agreement rate was 92.3%. The %20/20 agreement rates on days 1, 4 and 7, and 10 were 78.6%, 96.3%, and 97.3%, respectively. Consensus error grid analysis showed 99.8% of pairs in the clinically acceptable A and B zones. There were no serious adverse events. The sensors' 10-day survival rate was 90.3%. Conclusion: The G7 system is accurate and safe during pregnancies complicated by diabetes and does not require confirmatory fingerstick testing. Clinical Trial Registration: clinicaltrials.gov NCT04905628.
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Affiliation(s)
- Sarit Polsky
- Barbara Davis Center for Diabetes, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Amy M. Valent
- Oregon Health and Science University, Portland, Oregon, USA
| | - Elvira Isganaitis
- Joslin Diabetes Center and Harvard Medical School, Boston, Massachusetts, USA
| | | | - Grenye O'Malley
- Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Stayce E. Beck
- Department of Clinical Affairs, Dexcom, Inc., San Diego, California, USA
| | - Peggy Gao
- Department of Clinical Affairs, Dexcom, Inc., San Diego, California, USA
| | - Lori M. Laffel
- Joslin Diabetes Center and Harvard Medical School, Boston, Massachusetts, USA
| | - Florence M. Brown
- Joslin Diabetes Center and Harvard Medical School, Boston, Massachusetts, USA
| | - Carol J. Levy
- Icahn School of Medicine at Mount Sinai, New York, New York, USA
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Jamal WZ, Khan FR, Zuberi N, Kazmi SMR, Rozi S. Association of periodontal disease with gestational diabetes mellitus among postpartum women at a private tertiary care hospital of Karachi, Pakistan: a cross-sectional study. Sci Rep 2024; 14:9951. [PMID: 38688972 PMCID: PMC11061300 DOI: 10.1038/s41598-024-60659-6] [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: 08/15/2023] [Accepted: 04/25/2024] [Indexed: 05/02/2024] Open
Abstract
Due to the overlapping aetiology of Gestational Diabetes Mellitus (GDM) and Periodontal disease (PD), which are prevalent metabolic disorder and chronic inflammatory disorder in pregnant women respectively, they are often at risk of developing both diseases simultaneously. This study aims to evaluate the association of periodontal disease and gestational diabetes mellitus among post-partum women who delivered within 24 h at private tertiary care hospital, Karachi, Pakistan. Analytical cross sectional study with sample size of 178 by non- probability purposive sampling, a total of 101 postpartum women (57%) were diagnosed with periodontal disease and 50 (28%) were GDM positive. Of those who had PD, 35% (n = 35/101) were GDM positive. An insignificant association of the prevalence ratio of GDM in women with periodontal disease was found. [PR = 1.7; 95% CI: 0.2-3.2; p-value 0.07] A statistically significant association was found between the prevalence ratio of GDM in women with obesity. It was 2.6 times compared to women who were not obese (p value < 0.01, 95% CI: 1.3-5.1). There is insignificant association found between the prevalence ratio of GDM in women with periodontal disease in our setting. Women who are overweight or tend to gain weight should be closely monitored and guided to take dietary measures.
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Affiliation(s)
- Wafa Zehra Jamal
- Department of Community Health Sciences, Aga Khan University, Karachi, Pakistan.
| | | | - Nadeem Zuberi
- Department of Obstetrics & Gynecology, Aga Khan University, Karachi, Pakistan
| | | | - Shafquat Rozi
- Department of Community Health Sciences, Aga Khan University, Karachi, Pakistan
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5
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Barzen C, Vogel M, Kiess W, Poulain T. Associations between gestational weight gain and weight development of the offspring: Differences depending on maternal pre-pregnancy BMI. Arch Gynecol Obstet 2024:10.1007/s00404-024-07487-1. [PMID: 38609672 DOI: 10.1007/s00404-024-07487-1] [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: 01/18/2024] [Accepted: 03/17/2024] [Indexed: 04/14/2024]
Abstract
PURPOSE Obesity rates are rising, and the gestational weight gain (GWG) of most women does not comply with current guidelines. This study assesses the association of pre-pregnancy BMI (ppBMI) and GWG with the child's weight development and investigates whether associations with GWG differ depending on ppBMI. METHODS Data were obtained from the cohort study LIFE Child (Germany), comprising 691 mother-child pairs. Children's weight was followed until age five. Associations between maternal ppBMI, GWG, and children's weight were evaluated using regression analyses. RESULTS The association between GWG and birth weight (BW) was significantly positive in normal and underweight (n/u) women (βGWG = 0.05, p < 0.01, 95% confidence interval (CI) 0.03-0.07), but not in women with overweight or obesity (o/o) (βGWG = 0.0002, p = 0.99, 95% CI -0.03 to 0.03). The risk of giving birth to an infant who was large for gestational age (LGA) increased with rising GWG in n/u women (OR = 1.6, p < 0.01, 95% CI 1.23-2.25). Women with o/o were at increased risk for a LGA baby regardless of GWG (OR = 3, p < 0.01, 95% CI 1.34-6.97). This trend persisted in the child's weight development during the first 5 years of life. CONCLUSION Women with o/o might increase their offspring's risk for higher weight at birth and in early childhood. In n/u women, GWG might be the more influential factor. Women should strive for normal weight before conception and should be more attentive to GWG.
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Affiliation(s)
- Charlotte Barzen
- LIFE Leipzig Research Center for Civilization Diseases, University of Leipzig, Philipp-Rosenthal-Strasse 27, 04103, Leipzig, Germany.
| | - Mandy Vogel
- LIFE Leipzig Research Center for Civilization Diseases, University of Leipzig, Philipp-Rosenthal-Strasse 27, 04103, Leipzig, Germany
- Department of Women and Child Health, Hospital for Children and Adolescents and Center for Paediatric Research (CPL), Leipzig University, Liebigstraße 20a, Haus 6, 04103, Leipzig, Germany
| | - Wieland Kiess
- LIFE Leipzig Research Center for Civilization Diseases, University of Leipzig, Philipp-Rosenthal-Strasse 27, 04103, Leipzig, Germany
- Department of Women and Child Health, Hospital for Children and Adolescents and Center for Paediatric Research (CPL), Leipzig University, Liebigstraße 20a, Haus 6, 04103, Leipzig, Germany
| | - Tanja Poulain
- LIFE Leipzig Research Center for Civilization Diseases, University of Leipzig, Philipp-Rosenthal-Strasse 27, 04103, Leipzig, Germany
- Department of Women and Child Health, Hospital for Children and Adolescents and Center for Paediatric Research (CPL), Leipzig University, Liebigstraße 20a, Haus 6, 04103, Leipzig, Germany
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Li W, Jiang Y, Feng L, Yu J. Visceral Adipose Tissue Depth as a Novel Predictor for Gestational Diabetes Mellitus: A Comprehensive Meta-Analysis and Systematic Review. MEDICINA (KAUNAS, LITHUANIA) 2024; 60:557. [PMID: 38674203 PMCID: PMC11052462 DOI: 10.3390/medicina60040557] [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: 01/27/2024] [Revised: 03/06/2024] [Accepted: 03/26/2024] [Indexed: 04/28/2024]
Abstract
Background and Objectives: The escalating prevalence of gestational diabetes mellitus (GDM) and the limitations associated with utilizing body mass index (BMI) as a predictive measure underscore the imperative need for identifying an optimal early pregnancy predictor. Such a predictor not only mitigates the risk of GDM but also allows for timely implementation of interventions. Materials and Methods: This meta-analysis aimed to explore the association between visceral adipose tissue (VAT) depth and the risk of GDM. A thorough search of PubMed, Embase, and Web of Science databases was conducted up to 30 September 2023. The analysis employed a random-effects model to assess the relationship between VAT depth and the likelihood of GDM. Results: The inclusion criteria encompassed seven studies involving 1315 women, including 225 diagnosed with GDM. Significantly lower VAT depth was observed in the non-GDM group in comparison to the GDM group (Standardized Mean Difference [SMD]: 0.84; 95% Confidence Interval [CI]: 0.52-1.15; p < 0.001). Substantial statistical heterogeneity was noted among studies (I2 = 72.88%, p = 0.001). Through meticulous sensitivity and subgroup analyses, the source of heterogeneity was identified and thoroughly discussed. Subgroup analyses suggest that different GDM diagnostic criteria and VAT definitions all indicate higher VAT depth in GDM patients during early pregnancy. Conclusions: Our findings propose that, during the first trimester, GDM patients exhibit higher VAT depth compared to non-GDM women, highlighting VAT depth as a potential predictive factor for GDM in early pregnancy. This study contributes valuable evidence to the growing body of knowledge surrounding novel predictors for GDM, emphasizing the importance of early intervention strategies.
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Affiliation(s)
| | | | | | - Jun Yu
- Department of Gynecology and Obstetrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430074, China; (W.L.); (Y.J.); (L.F.)
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de Jersey S, Keramat SA, Chang A, Meloncelli N, Guthrie T, Eakin E, Comans T. A cost-effectiveness evaluation of a dietitian-delivered telephone coaching program during pregnancy for preventing gestational diabetes mellitus. COST EFFECTIVENESS AND RESOURCE ALLOCATION 2024; 22:18. [PMID: 38429805 PMCID: PMC10908067 DOI: 10.1186/s12962-024-00520-9] [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: 01/17/2023] [Accepted: 01/26/2024] [Indexed: 03/03/2024] Open
Abstract
BACKGROUND This study aimed to evaluate the cost-effectiveness of a telehealth coaching intervention to prevent gestational diabetes mellitus (GDM) and to calculate the breakeven point of preventing GDM. METHODS Data to inform the economic evaluation model was sourced directly from the large quaternary hospital in Brisbane, where the Living Well during Pregnancy (LWdP) program was implemented, and further supplemented with literature-based estimates where data had not been directly collected in the trial. A cost-effectiveness model was developed using a decision tree framework to estimate the potential for cost savings and quality of life improvement. A total of 1,315 pregnant women (49% with a BMI 25-29.9, and 51% with a BMI ≥ 30) were included in the analyses. RESULTS The costs of providing routine care and routine care plus LWdP coaching intervention to pregnant women were calculated to be AUD 20,933 and AUD 20,828, respectively. The effectiveness of the LWdP coaching program (0.894 utility) was slightly higher compared to routine care (0.893). Therefore, the value of the incremental cost-effectiveness ratio (ICER) was negative, and it indicates that the LWdP coaching program is a dominant strategy to prevent GDM in pregnant women. We also performed a probabilistic sensitivity analysis using Monte Carlo simulation through 1,000 simulations. The ICE scatter plot showed that the LWdP coaching intervention was dominant over routine care in 93.60% of the trials using a willingness to pay threshold of AUD 50,000. CONCLUSION Findings support consideration by healthcare policy and decision makers of telehealth and broad-reach delivery of structured lifestyle interventions during pregnancy to lower short-term costs associated with GDM to the health system.
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Affiliation(s)
- Susan de Jersey
- Department of Dietetics and Food Services, Royal Brisbane and Women's Hospital, Metro North Health, Brisbane, Australia.
- Centre for Health Services Research, Faculty of Medicine, The University of Queensland, Brisbane, Australia.
| | - Syed Afroz Keramat
- Centre for Health Services Research, Faculty of Medicine, The University of Queensland, Brisbane, Australia
| | - Angela Chang
- Centre for Allied Health Research, Royal Brisbane and Women's Hospital, Metro North Health, Brisbane, Australia
| | - Nina Meloncelli
- Centre for Health Services Research, Faculty of Medicine, The University of Queensland, Brisbane, Australia
| | - Taylor Guthrie
- Department of Dietetics and Food Services, Royal Brisbane and Women's Hospital, Metro North Health, Brisbane, Australia
- Centre for Health Services Research, Faculty of Medicine, The University of Queensland, Brisbane, Australia
| | - Elizabeth Eakin
- School of Public Health, Faculty of Medicine, The University of Queensland, Brisbane, QLD, Australia
| | - Tracy Comans
- Centre for Health Services Research, Faculty of Medicine, The University of Queensland, Brisbane, Australia
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Farewell C, Tong S, Sehrt M, Siegart J, Nicklas J. Factors associated with postpartum depression among high-risk women during the COVID-19 pandemic. Women Health 2024; 64:224-234. [PMID: 38287691 DOI: 10.1080/03630242.2024.2310047] [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: 01/20/2023] [Accepted: 01/18/2024] [Indexed: 01/31/2024]
Abstract
The purpose of this study was to investigate the impacts of the COVID-19 pandemic on multi-level factors associated with depression among a high-risk sample of postpartum women using longitudinal data collected at two timepoints. High-risk postpartum participants in the United States were recruited to participate in a parent study focused on mitigating risk of cardiometabolic disease in postpartum women. Individuals completed a baseline survey which included the Edinburgh Postpartum Depression Scale (EPDS) at 6-weeks postpartum between 2017 through 2019. A modified survey with the inclusion of selected questions from the Coronavirus Health Impact Survey (CRISIS) questionnaire was administered again during the first 6-months of the COVID-19 pandemic and individuals who completed both the baseline assessment and the COVID-19 assessment were included for analyses (n = 46). Multivariate models were run to investigate the impacts of individual-, interpersonal-, and structural-level factors on change in EPDS scores across the postpartum period. Findings suggest that losing contact with social supports (β = 4.5, SE = 1.9, p = .02) and individuals who reported a total household income of less than $75,000 (β = 3.4, SE = 1.7, p = .05) were more likely to report significantly worsening postpartum depression scores compared to others. Recommendations to mitigate the stressors that have been amplified by the COVID-19 pandemic and resulting mental health disparities include screening all high-risk postpartum women for depression and anxiety during both postpartum and pediatric healthcare visits, providing informational flyers with tips related to healthy coping behaviors and free/affordable community resources, and linking individuals to peer-led support groups.
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Affiliation(s)
- Charlotte Farewell
- Colorado School of Public Health, University of Colorado Anschutz Campus, Aurora, Colorado, USA
| | - Suhong Tong
- Division of General Internal Medicine, University of Colorado School of Medicine, Aurora, Colorado, USA
| | - Madeleine Sehrt
- Colorado School of Public Health, University of Colorado Anschutz Campus, Aurora, Colorado, USA
| | - Jamie Siegart
- Division of General Internal Medicine, University of Colorado School of Medicine, Aurora, Colorado, USA
| | - Jacinda Nicklas
- Division of General Internal Medicine, University of Colorado School of Medicine, Aurora, Colorado, USA
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9
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Darling AM, Yazdy MM, García MH, Carmichael SL, Shaw GM, Nestoridi E. Preconception dietary glycemic index and risk for large-for-gestational age births. Nutrition 2024; 119:112322. [PMID: 38199030 DOI: 10.1016/j.nut.2023.112322] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Revised: 11/19/2023] [Accepted: 11/29/2023] [Indexed: 01/12/2024]
Abstract
OBJECTIVES Diets with a high glycemic index (GI) leading to elevated postprandial glucose levels and hyperinsulinemia during pregnancy have been inconsistently linked to an increased risk for large-for-gestational-age (LGA) births. The effects of prepregnancy dietary GI on LGA risk are, to our knowledge, unknown. We examined the association of prepregnancy dietary GI with LGA births and joint associations of GI and maternal overweight/obesity and infant sex with LGA births among 10 188 infants born without congenital anomalies from 1997 to 2011, using data from the National Birth Defects Prevention Study (NBDPS). The aim of this study was to investigate this association among infants without major congenital anomalies (controls) who participated in the NBDPS and to evaluate how prepregnancy BMI and infant sex may modify this association on the additive scale. METHODS Dietary intake was ascertained using a 58-item food frequency questionnaire. We dichotomized dietary GI into high and low categories using spline regression models. Infants with a birth weight at or above the 90th percentile for gestational age and sex, according to a U.S. population reference, were considered LGA. We used logistic regression to obtain odds ratios (ORs) and 95% confidence intervals (CIs). RESULTS Of the infants, 859 (9%) had a high dietary GI (cut-point: 59), and 1244 infants (12%) were born LGA. Unadjusted analysis suggested an inverse association between high dietary GI and LGA (OR, 0.79; 95% CI, 0.62-0.99). No association was observed in multivariable models when comparing high dietary GI intake between LGA births and all other births (OR, 0.94; 95% CI, 0.74-1.20) or when excluding small-for-gestational-age (SGA) births (OR, 0.94; 95% CI, 0.73-1.19). No joint associations with maternal overweight/obesity or infant sex were observed. CONCLUSION High prepregnancy maternal GI was not associated with LGA births independently of or jointly with other factors.
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Affiliation(s)
- Anne Marie Darling
- Bureau of Family Health and Nutrition, Massachusetts Department of Public Health, Boston, Massachusetts, United States.
| | - Mahsa M Yazdy
- Bureau of Family Health and Nutrition, Massachusetts Department of Public Health, Boston, Massachusetts, United States
| | - Michelle Huezo García
- Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts, United States
| | - Suzan L Carmichael
- Division of Neonatal and Developmental Medicine, Department of Pediatrics, Stanford University School of Medicine, Stanford, California, United States; Division of Maternal Fetal Medicine and Obstetrics, Department of Pediatrics, Stanford University School of Medicine, Stanford, California, United States
| | - Gary M Shaw
- Division of Neonatal and Developmental Medicine, Department of Pediatrics, Stanford University School of Medicine, Stanford, California, United States
| | - Eirini Nestoridi
- Bureau of Family Health and Nutrition, Massachusetts Department of Public Health, Boston, Massachusetts, United States
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Rasul MG, Fahim SM, Alam MA, Das S, Mostafa I, Mahfuz M, Ahmed T. Prevalence and factors associated with undernutrition and overnutrition among ever-married adolescent girls in Bangladesh: an analysis of national surveys from 2004 to 2017. J Biosoc Sci 2024; 56:292-313. [PMID: 37712505 DOI: 10.1017/s0021932023000160] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/16/2023]
Abstract
Nutritional impairment during adolescence may result in adverse physical and reproductive health outcomes. We investigated the prevalence and determined the factors associated with underweight and overweight/obesity among ever-married adolescent girls in Bangladesh. We used Bangladesh Demographic and Health Surveys data conducted in 2004, 2007, 2011, 2014, and 2017. A total of 7040 ever-married adolescent girls aged 15-19 years were included in this analysis. Prevalence of underweight (body mass index [BMI]<18.5 kg/m2) significantly decreased from 39.53% (95% CI = 36.71, 42.43) to 23.62% (95% CI = 21.35, 26.05) during 2004-2017 (p < 0.001). However, prevalence of overweight/obesity (BMI ≥ 23 kg/m2) significantly increased from 5.9% (95% CI = 4.67, 7.43) to 22.71% (95% CI = 20.39, 25.20) during the same period (p < 0.001). The girls with higher age (OR = 0.94, 95% CI = 0.90, 0.99, p = 0.023), higher level of education (OR = 0.60, 95% CI = 0.43, 0.83, p = 0.002), and richest wealth quintile (OR = 0.78, 95% CI = 0.62, 0.98, p = 0.035) had significantly lower risk of being underweight. Adolescent girls having more than one child (OR = 1.41, 95% CI = 1.15, 1.73, p = 0.001) were more likely to be underweight. Elderly adolescents with better economic status were more at risk of being overweight/obese (OR = 2.57, 95% CI = 1.86, 3.55, p < 0.001). Girls married to skilled/unskilled workers (OR = 0.58, 95% CI = 0.44, 0.77, p < 0.001) and persons involved in small businesses (OR = 0.66, 95% CI = 0.49, 0.89, p = 0.007) had lower risk of having a high BMI. Using contraceptive (OR = 0.8, 95% CI = 0.69, 0.94, p = 0.006) was negatively associated with overweight/obese. Although prevalence of undernutrition among ever-married adolescent girls is declining, the proportion of being overweight/obese is increasing in Bangladesh warranting effective strategies to improve adolescent nutrition.
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Affiliation(s)
- Md Golam Rasul
- Nutrition and Clinical Services Division, International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh
| | - Shah Mohammad Fahim
- Nutrition and Clinical Services Division, International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh
| | - Md Ashraful Alam
- Nutrition and Clinical Services Division, International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh
| | - Subhasish Das
- Nutrition and Clinical Services Division, International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh
| | - Ishita Mostafa
- Nutrition and Clinical Services Division, International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh
| | - Mustafa Mahfuz
- Nutrition and Clinical Services Division, International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh
- Faculty of Medicine and Life Sciences, University of Tampere, Tampere, Finland
| | - Tahmeed Ahmed
- Nutrition and Clinical Services Division, International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh
- Global Health Department, University of Washington, Seattle, Washington, USA
- Department of Public Health Nutrition, James P Grant School of Public Health, BRAC University, Dhaka, Bangladesh
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11
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Sampaio Facanha CF, Sudário Alencar V, Soares Machado P, Lima Macêdo RB, Carvalhedo de Bruin PF, Costa E Forti A, Mirla Rocha T, Sales de Bruin VM. Eveningness and preeclampsia in gestational diabetes - a response to the letter "Chronotype of pregnant women with diabetes mellitus: what is the relationship with maternal and fetal outcomes". ARCHIVES OF ENDOCRINOLOGY AND METABOLISM 2024; 68:e230141. [PMID: 38330291 PMCID: PMC10953705 DOI: 10.20945/2359-4292-2023-0141] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Accepted: 06/02/2023] [Indexed: 02/10/2024]
Affiliation(s)
- Cristina Figueiredo Sampaio Facanha
- Departamento de Medicina, Universidade Federal do Ceará, Fortaleza, CE, Brasil,
- Departamento de Medicina, Centro Universitário Christus, Fortaleza, CE, Brasil
- Centro Integrado de Diabetese Hipertensão do Ceará (CIDH)- Secretaria Estadual de Saúde do Ceará, Fortaleza, CE, Brasil
| | | | | | - Rejane Belchior Lima Macêdo
- Departamento de Medicina,Universidade Federal do Ceará, Fortaleza, CE, Brasil
- Centro Integrado de Diabetese Hipertensão do Ceará (CIDH) - Secretaria Estadual de Saúde do Ceará, Fortaleza, CE, Brasil
| | | | - Adriana Costa E Forti
- Departamento de Medicina, Universidade Federal do Ceará, Fortaleza, CE, Brasil
- Centro Integrado de Diabetese Hipertensão do Ceará (CIDH) - Secretaria Estadual de Saúde do Ceará, Fortaleza, CE, Brasil
| | - Thaine Mirla Rocha
- Departamento de Medicina, Centro Universitário Christus, Fortaleza, CE, Brasil
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Monod C, Kotzaeridi G, Linder T, Yerlikaya‐Schatten G, Wegener S, Mosimann B, Henrich W, Tura A, Göbl CS. Maternal overweight and obesity and its association with metabolic changes and fetal overgrowth in the absence of gestational diabetes mellitus: A prospective cohort study. Acta Obstet Gynecol Scand 2024; 103:257-265. [PMID: 38140706 PMCID: PMC10823396 DOI: 10.1111/aogs.14688] [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: 07/09/2023] [Revised: 09/02/2023] [Accepted: 09/21/2023] [Indexed: 12/24/2023]
Abstract
INTRODUCTION Previous studies indicated an association between fetal overgrowth and maternal obesity independent of gestational diabetes mellitus (GDM). However, the underlying mechanisms beyond this possible association are not completely understood. This study investigates metabolic changes and their association with fetal and neonatal biometry in overweight and obese mothers who remained normal glucose-tolerant during gestation. MATERIAL AND METHODS In this prospective cohort study 893 women who did not develop GDM were categorized according to their pregestational body mass index (BMI): 570 were normal weight, 220 overweight and 103 obese. Study participants received a broad metabolic evaluation before 16 weeks and were followed up until delivery to assess glucose levels during the oral glucose tolerance test (OGTT) at mid-gestation as well as fetal biometry in ultrasound and pregnancy outcome data. RESULTS Increased maternal BMI was associated with an adverse metabolic profile at the beginning of pregnancy, including a lower degree of insulin sensitivity (as assessed by the quantitative insulin sensitivity check index) in overweight (mean difference: -2.4, 95% CI -2.9 to -1.9, p < 0.001) and obese (mean difference: -4.3, 95% CI -5.0 to -3.7, p < 0.001) vs normal weight women. Despite not fulfilling diagnosis criteria for GDM, overweight and obese mothers showed higher glucose levels at fasting and during the OGTT. Finally, we observed increased measures of fetal subcutaneous tissue thickness in ultrasound as well as higher proportions of large-for-gestational-age infants in overweight (18.9%, odds ratio [OR] 1.74, 95% CI 1.08-2.78, p = 0.021) and obese mothers (21.0%, OR 1.99, 95% CI 1.06-3.59, p = 0.027) vs normal weight controls (11.8%). The risk for large for gestational age was further determined by OGTT glucose (60 min: OR 1.11, 95% CI 1.02-1.21, p = 0.013; 120 min: OR 1.13, 95% CI 1.02-1.27, P = 0.025, for the increase of 10 mg/dL) and maternal triglyceride concentrations (OR 1.11, 95% CI 1.01-1.22, p = 0.036, for the increase of 20 mg/dL). CONCLUSIONS Mothers affected by overweight or obesity but not GDM had a higher risk for fetal overgrowth. An impaired metabolic milieu related to increased maternal BMI as well as higher glucose levels at mid-gestation may impact fetal overgrowth in women still in the range of normal glucose tolerance.
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Affiliation(s)
- Cécile Monod
- Department of Obstetrics and GynecologyUniversity Hospital BaselBaselSwitzerland
- Department of Obstetrics and GynecologyMedical University of ViennaViennaAustria
| | - Grammata Kotzaeridi
- Department of Obstetrics and GynecologyMedical University of ViennaViennaAustria
| | - Tina Linder
- Department of Obstetrics and GynecologyMedical University of ViennaViennaAustria
| | | | - Silke Wegener
- Clinic of ObstetricsCharité‐Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt‐Universität zu Berlin, and Berlin Institute of HealthBerlinGermany
| | - Beatrice Mosimann
- Department of Obstetrics and GynecologyUniversity Hospital BaselBaselSwitzerland
| | - Wolfgang Henrich
- Clinic of ObstetricsCharité‐Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt‐Universität zu Berlin, and Berlin Institute of HealthBerlinGermany
| | | | - Christian S. Göbl
- Department of Obstetrics and GynecologyMedical University of ViennaViennaAustria
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Ying Q, Xu Y, Zhang Z, Cai L, Zhao Y, Jin L. Gestational diabetes mellitus and risk of long-term all-cause and cardiac mortality: a prospective cohort study. Cardiovasc Diabetol 2024; 23:47. [PMID: 38302966 PMCID: PMC10835835 DOI: 10.1186/s12933-024-02131-3] [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: 11/08/2023] [Accepted: 01/10/2024] [Indexed: 02/03/2024] Open
Abstract
BACKGROUND To investigate the association between gestational diabetes mellitus (GDM) without subsequent overt diabetes and long-term all-cause and cardiac mortality. METHODS This prospective cohort study included 10,327 women (weighted population: 132,332,187) with a pregnancy history from the National Health and Nutrition Examination Survey (2007 to 2018). Participants were divided into three groups (GDM alone, overt diabetes, and no diabetes). Mortality data was linked from the National Death Index up to December 31, 2019. Multivariable Cox regression analysis was performed to examine the association between GDM alone and overt diabetes with all-cause mortality and cardiac mortality. Data analysis was performed from October 2022 to April 2023. RESULTS Among the participants, 510 (weighted 5.3%) had GDM alone and 1862 (weighted 14.1%) had overt diabetes. Over a median follow-up period of 6.7 years (69,063 person-years), there were 758 deaths. The GDM group did not show an increased risk of all-cause mortality (hazard ratio [HR] 0.67; 95% CI, 0.25-1.84), while the overt diabetes group had a significantly higher risk (HR 1.95; 95% CI, 1.62-2.35). Similarly, the GDM group did not exhibit an elevated risk of cardiac mortality (HR 1.48; 95% CI, 0.50-4.39), whereas the overt diabetes group had a significantly higher risk (HR 2.37; 95% CI, 1.69-3.32). Furthermore, sensitivity analysis focusing on women aged 50 or above showed that the HR of GDM history for all-cause mortality was 1.14 (95% CI, 0.33-3.95) and the HR for cardiac mortality was 1.74 (95% CI, 0.49-6.20). CONCLUSIONS GDM alone was not associated with an increased risk of all-cause and cardiac mortality, while overt diabetes was significantly associated with both types of mortality.
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Affiliation(s)
- Qian Ying
- Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Yao Xu
- Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Ziyi Zhang
- Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Luyi Cai
- Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Yan Zhao
- Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, China.
| | - Liping Jin
- Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, China.
- Shanghai Key Laboratory of Female Reproductive Endocrine Related Diseases, Hospital of Obstetrics and Gynecology, Shanghai Medical School, Fudan University, Shanghai, China.
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Greco E, Calanducci M, Nicolaides KH, Barry EVH, Huda MSB, Iliodromiti S. Gestational diabetes mellitus and adverse maternal and perinatal outcomes in twin and singleton pregnancies: a systematic review and meta-analysis. Am J Obstet Gynecol 2024; 230:213-225. [PMID: 37595821 DOI: 10.1016/j.ajog.2023.08.011] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Revised: 08/10/2023] [Accepted: 08/10/2023] [Indexed: 08/20/2023]
Abstract
OBJECTIVE This study aimed to assess the risk of adverse maternal and perinatal complications between twin and singleton pregnancies affected by gestational diabetes mellitus and the respective group without gestational diabetes mellitus (controls). DATA SOURCES A literature search was performed using MEDLINE, Embase, and Cochrane from January 1980 to May 2023. STUDY ELIGIBILITY CRITERIA Observational studies reporting maternal and perinatal outcomes in singleton and/or twin pregnancies with gestational diabetes mellitus vs controls were included. METHODS This was a systematic review and meta-analysis. Pooled estimate risk ratios with 95% confidence intervals were generated to determine the likelihood of adverse pregnancy outcomes between twin and singleton pregnancies with and without gestational diabetes mellitus. Heterogeneity among studies was evaluated in the model and expressed using the I2 statistic. A P value of <.05 was considered statistically significant. The meta-analyses were performed using Review Manager (RevMan Web). Version 5.4. The Cochrane Collaboration, 2020. Meta-regression was used to compare relative risks between singleton and twin pregnancies. The addition of multiple covariates into the models was used to address the lack of adjustments. RESULTS Overall, 85 studies in singleton pregnancies and 27 in twin pregnancies were included. In singleton pregnancies with gestational diabetes mellitus, compared with controls, there were increased risks of hypertensive disorders of pregnancy (relative risk, 1.85; 95% confidence interval, 1.69-2.01), induction of labor (relative risk, 1.36; 95% confidence interval, 1.05-1.77), cesarean delivery (relative risk, 1.31; 95% confidence interval, 1.24-1.38), large-for-gestational-age neonate (relative risk, 1.61; 95% confidence interval, 1.46-1.77), preterm birth (relative risk, 1.36; 95% confidence interval, 1.27-1.46), and admission to the neonatal intensive care unit (relative risk, 1.43; 95% confidence interval, 1.38-1.49). In twin pregnancies with gestational diabetes mellitus, compared with controls, there were increased risks of hypertensive disorders of pregnancy (relative risk, 1.69; 95% confidence interval, 1.51-1.90), cesarean delivery (relative risk, 1.10; 95% confidence interval, 1.06-1.13), large-for-gestational-age neonate (relative risk, 1.29; 95% confidence interval, 1.03-1.60), preterm birth (relative risk, 1.19; 95% confidence interval, 1.07-1.32), and admission to the neonatal intensive care unit (relative risk, 1.20; 95% confidence interval, 1.09-1.32) and reduced risks of small-for-gestational-age neonate (relative risk, 0.89; 95% confidence interval, 0.81-0.97) and neonatal death (relative risk, 0.50; 95% confidence interval, 0.39-0.65). When comparing relative risks in singleton vs twin pregnancies, there was sufficient evidence to suggest that twin pregnancies have a lower relative risk of cesarean delivery (P=.003), have sufficient adjustment for confounders, and have lower relative risks of admission to the neonatal intensive care unit (P=.005), stillbirths (P=.002), and neonatal death (P=.001) than singleton pregnancies. CONCLUSION In both singleton and twin pregnancies, gestational diabetes mellitus was associated with an increased risk of adverse maternal and perinatal outcomes. In twin pregnancies, gestational diabetes mellitus may have a milder effect on some adverse perinatal outcomes and may be associated with a lower risk of neonatal death.
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Affiliation(s)
- Elena Greco
- Women's Health Research Unit, Wolfson Institute of Population Health, Queen Mary University of London, London, United Kingdom.
| | - Maria Calanducci
- The Royal London Hospital, Barts Health NHS Trust, London, United Kingdom; The Harris Birthright Research Centre, King's College, London, United Kingdom
| | - Kypros H Nicolaides
- The Harris Birthright Research Centre, King's College, London, United Kingdom
| | - Eleanor V H Barry
- Women's Health Research Unit, Wolfson Institute of Population Health, Queen Mary University of London, London, United Kingdom
| | - Mohammed S B Huda
- The Royal London Hospital, Barts Health NHS Trust, London, United Kingdom
| | - Stamatina Iliodromiti
- Women's Health Research Unit, Wolfson Institute of Population Health, Queen Mary University of London, London, United Kingdom
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15
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Li X, Niu Z, Bai L, Lu Q. New perspective on first-trimester serum uric acid level in predicting the risk of gestational diabetes mellitus. Sci Rep 2024; 14:804. [PMID: 38191612 PMCID: PMC10774299 DOI: 10.1038/s41598-024-51507-8] [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: 12/05/2023] [Accepted: 01/05/2024] [Indexed: 01/10/2024] Open
Abstract
This study aimed to investigate the correlation between serum uric acid (UA) and gestational diabetes mellitus (GDM) during the first trimester and provide a new perspective for the prevention and treatment of GDM. Based on the diagnostic criteria of gestational diabetes of the International Association of Diabetes and Pregnancy Study Groups, 1744 and 4256 patients were enrolled in the GDM and normal glucose tolerance (NGT) groups. Four groups were constituted based on the quartile of first-trimester serum UA (UA) level, and the differences in each indicator between groups were compared. Logistic regression was used to analyze the effects of UA level on GDM risk. The rate of GDM in the UA quartile changed from low to high. Significant differences were also observed in fasting plasma glucose level, 1 h post glucose and 2 h post glucose levels, in all the groups (P < 0.05), which increased with the UA level. UA level were independent risk factors for GDM. The best threshold of GDM predicted by the first-trimester UA level was 226.55 μmol/L. The first-trimester UA level in patients with GDM was relatively higher and was an independent risk factor for GDM.
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Affiliation(s)
- Xiaojing Li
- Department of Obstetrics, First Hospital of Qinhuangdao, Hebei, 066000, Qinhuangdao, China
| | - Ziru Niu
- Department of Endocrinology, First Hospital of Qinhuangdao, Hebei, 066000, Qinhuangdao, China
| | - Liwei Bai
- Department of Obstetrics, Qinhuangdao Hospital for Maternal and Child Health, Hebei, 066000, Qinhuangdao, China
| | - Qiang Lu
- Department of Endocrinology, First Hospital of Qinhuangdao, Hebei, 066000, Qinhuangdao, China.
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He J, Zhang M, Ren J, Jiang X. Correlation between TCF7L2 and CAPN10 gene polymorphisms and gestational diabetes mellitus in different geographical regions: a meta-analysis. BMC Pregnancy Childbirth 2024; 24:15. [PMID: 38166877 PMCID: PMC10759658 DOI: 10.1186/s12884-023-06177-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Accepted: 12/05/2023] [Indexed: 01/05/2024] Open
Abstract
BACKGROUND The association between TCF7L2 and CAPN10 gene polymorphisms and gestational diabetes mellitus (GDM) has been explored in diverse populations across different geographical regions. Yet, most of these studies have been confined to a limited number of loci, resulting in inconsistent findings. In this study, we conducted a comprehensive review of published literature to identify studies examining the relationship between TCF7L2 and CAPN10 gene polymorphisms and the incidence of GDM in various populations. We specifically focused on five loci that were extensively reported in a large number of publications and performed a meta-analysis. METHODS We prioritized the selection of SNPs with well-documented correlations established in existing literature on GDM. We searched eight Chinese and English databases: Cochrane, Elton B. Stephens. Company (EBSCO), Embase, Scopus, Web of Science, China National Knowledge Infrastructure (CNKI), Wanfang, and China Science and Technology Journal Database and retrieved all relevant articles published between the inception of the database and July 2022. The Newcastle Ottawa Scale (NOS) was used to evaluate the selected articles, and the odds ratio (OR) was used as the combined effect size index to determine the association between genotypes, alleles, and GDM using different genetic models. Heterogeneity between the studies was quantified and the I2 value calculated. Due to large heterogeneities between different ethnic groups, subgroup analysis was used to explore the correlation between genetic polymorphisms and the incidence of GDM in the different populations. The stability of the results was assessed using sensitivity analysis. Begg's and Egger's tests were used to assess publication bias. RESULTS A total of 39 articles reporting data on 8,795 cases and 16,290 controls were included in the analysis. The frequency of the rs7901695 genotype was statistically significant between cases and controls in the European population (OR = 0.72, 95% CI: 0.65-0.86) and the American population (OR = 0.61, 95% CI: 0.48-0.77). The frequencies of rs12255372, rs7901695, rs290487, and rs2975760 alleles were also considerably different between the cases and controls in the populations analyzed. CONCLUSIONS rs7903146, rs12255372, rs7901695, rs290487, and rs2975760 were associated with the incidence of GDM in different populations.
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Affiliation(s)
- Jingjing He
- Department of Obstetrics Nursing, West China Second University Hospital, Sichuan University, Chengdu, China
- West China School of Nursing, Sichuan University, Chengdu, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, Sichuan, China
| | - Meng Zhang
- Department of Obstetrics Nursing, West China Second University Hospital, Sichuan University, Chengdu, China
- West China School of Nursing, Sichuan University, Chengdu, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, Sichuan, China
| | - Jianhua Ren
- Department of Obstetrics Nursing, West China Second University Hospital, Sichuan University, Chengdu, China.
- West China School of Nursing, Sichuan University, Chengdu, China.
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, Sichuan, China.
| | - Xiaolian Jiang
- Department of Obstetrics Nursing, West China Second University Hospital, Sichuan University, Chengdu, China.
- West China School of Nursing, Sichuan University, Chengdu, China.
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Costa SMB, Hallur RLS, Reyes DRA, Floriano JF, de Barros Leite Carvalhaes MA, de Carvalho Nunes HR, Sobrevia L, Valero P, Barbosa AMP, Rudge MCV. Role of dietary food intake patterns, anthropometric measures, and multiple biochemical markers in the development of pregnancy-specific urinary incontinence in gestational diabetes mellitus. Nutrition 2024; 117:112228. [PMID: 37948994 DOI: 10.1016/j.nut.2023.112228] [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: 05/29/2023] [Revised: 09/04/2023] [Accepted: 09/16/2023] [Indexed: 11/12/2023]
Abstract
OBJECTIVES The aim of this study was to assess maternal dietary food intake patterns, anthropometric measures, and multiple biochemical markers in women with gestational diabetes mellitus and pregnancy-specific urinary incontinence and to explore whether antedating gestational diabetes mellitus environment affects the pregnancy-specific urinary incontinence development in a cohort of pregnant women with gestational diabetes mellitus and pregnancy-specific urinary incontinence. METHODS Maternal dietary information and anthropometric measurements were collected. At 24 wk of gestation, with a fasting venipuncture sample, current blood samples for biochemical markers of hormones, vitamins, and minerals were analyzed. The groups were compared in terms of numerical variables using analysis of variance for independent samples followed by multiple comparisons. RESULTS Of the 900 pregnant women with complete data, pregnant women in the gestational diabetes mellitus pregnancy-specific urinary incontinence group had higher body mass index during pregnancy, arm circumference, and triceps skinfold than the non-gestational diabetes mellitus continent and non-gestational diabetes mellitus pregnancy-specific urinary incontinence groups, characterizing an obesogenic maternal environment. Regarding dietary food intake, significant increases in aromatic amino acids, branched-chain amino acids, dietary fiber, magnesium, zinc, and water were observed in pregnancy-specific urinary incontinence group compared with the non-gestational diabetes mellitus continent group. Serum vitamin C was reduced in the gestational diabetes mellitus pregnancy-specific urinary incontinence group compared with the non-gestational diabetes mellitus pregnancy-specific urinary incontinence group. CONCLUSIONS This study emphasizes the necessity for a comprehensive strategy for gestational diabetes mellitus women with pregnancy-specific urinary incontinence in terms of deviation in maternal adaptation trending toward obesity and maternal micronutrients deficiencies.
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Affiliation(s)
- Sarah Maria Barneze Costa
- Department of Gynecology and Obstetrics, Botucatu Medical School, São Paulo State University, Botucatu, Brazil
| | - Raghavendra Lakshmana Shetty Hallur
- Department of Gynecology and Obstetrics, Botucatu Medical School, São Paulo State University, Botucatu, Brazil; College of Biosciences and Technology, Pravara Institute of Medical Sciences (DU), Loni-413736, Rahata Taluka, Ahmednagar District, Maharashtra State, India
| | - David Rafael Abreu Reyes
- Department of Gynecology and Obstetrics, Botucatu Medical School, São Paulo State University, Botucatu, Brazil
| | - Juliana Ferreira Floriano
- Department of Gynecology and Obstetrics, Botucatu Medical School, São Paulo State University, Botucatu, Brazil
| | | | | | - Luis Sobrevia
- Botucatu Medical School, São Paulo State University, São Paulo, Brazil; Cellular and Molecular Physiology Laboratory, Division of Obstetrics and Gynecology, Department of Obstetrics, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile; Centre for Clinical Research, Faculty of Medicine and Biomedical Sciences, University of Queensland, Herston, Australia; Department of Pathology and Medical Biology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands; Institute for Obesity Research, School of Medicine and Health Sciences, Monterrey Institute of Technology and Higher Education, Monterrey, Mexico
| | - Paola Valero
- Botucatu Medical School, São Paulo State University, São Paulo, Brazil; Faculty of Health Sciences, Universidad de Talca, Talca, Chile
| | - Angélica Mércia Pascon Barbosa
- Department of Gynecology and Obstetrics, Botucatu Medical School, São Paulo State University, Botucatu, Brazil; Department of Physiotherapy and Occupational Therapy, School of Philosophy and Sciences, São Paulo State University, Marília, Brazil
| | - Marilza Cunha Vieira Rudge
- Department of Gynecology and Obstetrics, Botucatu Medical School, São Paulo State University, Botucatu, Brazil.
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Ducarme G, Planche L, Lbakhar M. Predictive Factors for Successful Cervical Ripening among Women with Gestational Diabetes Mellitus at Term: A Prospective Study. J Clin Med 2023; 13:139. [PMID: 38202146 PMCID: PMC10779893 DOI: 10.3390/jcm13010139] [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: 10/26/2023] [Revised: 12/14/2023] [Accepted: 12/22/2023] [Indexed: 01/12/2024] Open
Abstract
The purpose of this prospective cohort study is to identify the predictive factors for vaginal delivery among women (n = 146) who underwent cervical ripening using a dinoprostone insert (PG) alone (13.7%), cervical ripening balloon (CRB) alone (52.7%), oral misoprostol (M) alone (4.1%), or repeated methods (R, 29.5%) for gestational diabetes mellitus (GDM) at term, and to analyze maternal and neonatal morbidity outcomes according to the method for cervical ripening. After cervical ripening, vaginal delivery occurred in 84.2% (n = 123) and was similar among groups (90.0% after PG, 83.1% after CRB, 83.3% after M, and 83.7% after R; p = 0.89). After a multivariable logistic regression analysis adjusted for potential confounders, the internal cervical os being open before cervical ripening was a predictor of vaginal delivery (adjusted odds ratio (OR) of 4.38, 95% confidence index (CI) of 1.62-13.3, p = 0.03), and previous cesarean delivery was a predictor of cesarean delivery (aOR of 7.67, 95% CI of 2.49-24.00, p < 0.01). Birthweight was also significantly associated with cesarean delivery (aOR of 1.15, 95% CI of 1.03-1.31, p = 0.02). The rates of maternal and neonatal morbidity outcomes were 10.9% (n = 16) and 19.9% (n = 29), respectively, and did not differ according to the mode of delivery and to the method used for cervical ripening. Identifying these specific high-risk women (previous cesarean delivery and internal cervical os being closed before cervical ripening) for cesarean delivery among women who underwent cervical ripening for GDM at term is important and practical for all physicians to make a decision in partnership with women.
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Affiliation(s)
- Guillaume Ducarme
- Department of Obstetrics and Gynecology, Centre Hospitalier Departemental, 85000 La Roche sur Yon, France;
| | - Lucie Planche
- Clinical Research Center, Centre Hospitalier Departemental, 85000 La Roche sur Yon, France;
| | - Mounia Lbakhar
- Department of Obstetrics and Gynecology, Centre Hospitalier Departemental, 85000 La Roche sur Yon, France;
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Francis EC, Powe CE, Lowe WL, White SL, Scholtens DM, Yang J, Zhu Y, Zhang C, Hivert MF, Kwak SH, Sweeting A. Refining the diagnosis of gestational diabetes mellitus: a systematic review and meta-analysis. COMMUNICATIONS MEDICINE 2023; 3:185. [PMID: 38110524 PMCID: PMC10728189 DOI: 10.1038/s43856-023-00393-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Accepted: 10/25/2023] [Indexed: 12/20/2023] Open
Abstract
BACKGROUND Perinatal outcomes vary for women with gestational diabetes mellitus (GDM). The precise factors beyond glycemic status that may refine GDM diagnosis remain unclear. We conducted a systematic review and meta-analysis of potential precision markers for GDM. METHODS Systematic literature searches were performed in PubMed and EMBASE from inception to March 2022 for studies comparing perinatal outcomes among women with GDM. We searched for precision markers in the following categories: maternal anthropometrics, clinical/sociocultural factors, non-glycemic biochemical markers, genetics/genomics or other -omics, and fetal biometry. We conducted post-hoc meta-analyses of a subset of studies with data on the association of maternal body mass index (BMI, kg/m2) with offspring macrosomia or large-for-gestational age (LGA). RESULTS A total of 5905 titles/abstracts were screened, 775 full-texts reviewed, and 137 studies synthesized. Maternal anthropometrics were the most frequent risk marker. Meta-analysis demonstrated that women with GDM and overweight/obesity vs. GDM with normal range BMI are at higher risk of offspring macrosomia (13 studies [n = 28,763]; odds ratio [OR] 2.65; 95% Confidence Interval [CI] 1.91, 3.68), and LGA (10 studies [n = 20,070]; OR 2.23; 95% CI 2.00, 2.49). Lipids and insulin resistance/secretion indices were the most studied non-glycemic biochemical markers, with increased triglycerides and insulin resistance generally associated with greater risk of offspring macrosomia or LGA. Studies evaluating other markers had inconsistent findings as to whether they could be used as precision markers. CONCLUSIONS Maternal overweight/obesity is associated with greater risk of offspring macrosomia or LGA in women with GDM. Pregnancy insulin resistance or hypertriglyceridemia may be useful in GDM risk stratification. Future studies examining non-glycemic biochemical, genetic, other -omic, or sociocultural precision markers among women with GDM are warranted.
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Affiliation(s)
- Ellen C Francis
- Department of Biostatistics and Epidemiology, Rutgers School of Public Health, Piscataway, NJ, USA.
| | - Camille E Powe
- Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA
| | - William L Lowe
- Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Sara L White
- Department of Women and Children's Health, King's College London, London, UK
| | - Denise M Scholtens
- Department of Preventive Medicine, Division of Biostatistics, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Jiaxi Yang
- Global Center for Asian Women's Health (GloW), Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Department of Obstetrics and Gynecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Bia-Echo Asia Centre for Reproductive Longevity & Equality (ACRLE), Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Yeyi Zhu
- Kaiser Permanente Northern California Division of Research, Oakland, CA, USA
| | - Cuilin Zhang
- Global Center for Asian Women's Health (GloW), Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Department of Obstetrics and Gynecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Bia-Echo Asia Centre for Reproductive Longevity & Equality (ACRLE), Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Marie-France Hivert
- Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA
- Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Soo Heon Kwak
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Arianne Sweeting
- Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia
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20
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Callander EJ, Enticott JC, Eklom B, Gamble J, Teede HJ. The value of maternity care in Queensland, 2012-18, based on an analysis of administrative data: a retrospective observational study. Med J Aust 2023; 219:535-541. [PMID: 37940105 PMCID: PMC10952409 DOI: 10.5694/mja2.52156] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Accepted: 08/18/2023] [Indexed: 11/10/2023]
Abstract
OBJECTIVE To quantify the value of maternity health care - the relationship of outcomes to costs - in Queensland during 2012-18. STUDY DESIGN Retrospective observational study; analysis of Queensland Perinatal Data Collection data linked with the Queensland Health Admitted Patient, Non-Admitted Patient, and Emergency Data Collections, and with the Medicare Benefits Schedule (MBS) and Pharmaceutical Benefits Scheme (PBS) databases. SETTING, PARTICIPANTS All births in Queensland during 1 July 2012 - 30 June 2018. MAIN OUTCOME MEASURES Maternity care costs per birth (reported in 2021-22 Australian dollars), both overall and by funder type (public hospital funders, MBS, PBS, private health insurers, out-of-pocket costs); value of care, defined as total cost per positive birth outcome (composite measure). RESULTS The mean cost per birth (all funders) increased from $20 471 (standard deviation [SD], $17 513) during the second half of 2012 to $30 000 (SD, $22 323) during the first half of 2018; the annual total costs for all births increased from $1.31 billion to $1.84 billion, despite a slight decline in the total number of births. In a mixed effects linear analysis adjusted for demographic, clinical, and birth characteristics, the mean total cost per birth in the second half of 2018 was $9493 higher (99.9% confidence interval, $8930-10 056) than during the first half of 2012. The proportion of births that did not satisfy our criteria for a positive birth outcome increased from 27.1% (8404 births) during the second half of 2012 to 30.5% (9041 births) during the first half of 2018. CONCLUSION The costs of maternity care have increased in Queensland, and many adverse birth outcomes have become more frequent. Broad clinical collaboration, effective prevention and treatment strategies, as well as maternal health services focused on all dimensions of value, are needed to ensure the quality and viability of maternity care in Australia.
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Affiliation(s)
| | - Joanne C Enticott
- Monash Centre for Health Research and ImplementationMonash UniversityMelbourneVIC
| | | | | | - Helena J Teede
- Monash Centre for Health Research and ImplementationMonash UniversityMelbourneVIC
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Lecoutre S, Maqdasy S, Lambert M, Breton C. The Impact of Maternal Obesity on Adipose Progenitor Cells. Biomedicines 2023; 11:3252. [PMID: 38137473 PMCID: PMC10741630 DOI: 10.3390/biomedicines11123252] [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: 11/13/2023] [Revised: 12/01/2023] [Accepted: 12/05/2023] [Indexed: 12/24/2023] Open
Abstract
The concept of Developmental Origin of Health and Disease (DOHaD) postulates that adult-onset metabolic disorders may originate from suboptimal conditions during critical embryonic and fetal programming windows. In particular, nutritional disturbance during key developmental stages may program the set point of adiposity and its associated metabolic diseases later in life. Numerous studies in mammals have reported that maternal obesity and the resulting accelerated growth in neonates may affect adipocyte development, resulting in persistent alterations in adipose tissue plasticity (i.e., adipocyte proliferation and storage) and adipocyte function (i.e., insulin resistance, impaired adipokine secretion, reduced thermogenesis, and higher inflammation) in a sex- and depot-specific manner. Over recent years, adipose progenitor cells (APCs) have been shown to play a crucial role in adipose tissue plasticity, essential for its development, maintenance, and expansion. In this review, we aim to provide insights into the developmental timeline of lineage commitment and differentiation of APCs and their role in predisposing individuals to obesity and metabolic diseases. We present data supporting the possible implication of dysregulated APCs and aberrant perinatal adipogenesis through epigenetic mechanisms as a primary mechanism responsible for long-lasting adipose tissue dysfunction in offspring born to obese mothers.
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Affiliation(s)
- Simon Lecoutre
- Nutrition and Obesities: Systemic Approach Research Group, Nutriomics, Sorbonne Université, INSERM, F-75013 Paris, France
| | - Salwan Maqdasy
- Department of Medicine (H7), Karolinska Institutet Hospital, C2-94, 14186 Stockholm, Sweden;
| | - Mélanie Lambert
- U978 Institut National de la Santé et de la Recherche Médicale, F-93022 Bobigny, France;
- Université Sorbonne Paris Nord, Alliance Sorbonne Paris Cité, Labex Inflamex, F-93000 Bobigny, France
| | - Christophe Breton
- Maternal Malnutrition and Programming of Metabolic Diseases, Université de Lille, EA4489, F-59000 Lille, France
- U1283-UMR8199-EGID, Université de Lille, INSERM, CNRS, CHU Lille, Institut Pasteur de Lille, F-59000 Lille, France
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Mnatzaganian G, Taylor M, He F, Yuen N, McIntyre HD, Woodward M, Ma L, Huxley RR. Differences in neonatal adverse outcomes among women with gestational diabetes mellitus managed by diet or medication: a propensity score matched analysis of a population-based sample. Gynecol Endocrinol 2023; 39:2250005. [PMID: 37608764 DOI: 10.1080/09513590.2023.2250005] [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: 11/28/2022] [Revised: 08/06/2023] [Accepted: 08/14/2023] [Indexed: 08/24/2023] Open
Abstract
OBJECTIVE Neonatal outcomes in women with and without medically managed gestational diabetes mellitus (GDM) were compared after accounting for differences in maternal baseline characteristics using a propensity score (PS) analysis. METHODS Women without preexisting diabetes, delivering singletons during 2010-2017 in a large hospital, were eligible for inclusion. Using nearest-neighbour PS matching, women with non-pharmacological managed GDM were matched with women whose GDM was medically managed. A conditional logistic regression consequently compared the neonatal adverse outcomes between the groups after adjusting for gestational age, induction of labor, birth type, and number of ultrasounds conducted during the pregnancy. RESULTS Of the overall 10028 births, GDM was diagnosed in 930 (9.3%), of whom 710 (76.3%) were successfully matched. The conditional regressions found higher risk of neonatal adverse outcomes in neonates of women with non-pharmacological managed GDM compared to neonates of women with medically managed GDM. These included a higher risk of hypoglycemia (odds ratio (OR) 1.56, 95% confidence interval (CI) 1.03-2.38, p = 0.037), hypothermia (OR 2.29, 95%CI 1.05-5.00, p = 0.037), and birth injuries (OR 3.50, 95%CI 1.62-7.58, p = 0.001), and a higher risk of being small for gestational age (OR 2.06, 95%CI 1.01-4.18, p = 0.046) and being admitted to a special care unit (OR 2.04, 95%CI 1.29-3.21, p = 0.002). CONCLUSIONS The increased neonatal morbidity associated with non-medicated GDM identified in our study may indicate that diet and lifestyle changes alone are not sufficient to achieve glycaemic control in some women with GDM. Our findings indicate that gestational diabetes management approach is independently associated with neonatal outcomes.
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Affiliation(s)
- George Mnatzaganian
- Rural Allied Health, La Trobe Rural Health School, La Trobe University, Bendigo, Victoria, Australia
| | - Marietta Taylor
- Rural Allied Health, La Trobe Rural Health School, La Trobe University, Bendigo, Victoria, Australia
| | - Fan He
- Rural Allied Health, La Trobe Rural Health School, La Trobe University, Bendigo, Victoria, Australia
| | - Nicola Yuen
- Department of Women's & Children's Services, Bendigo Health, Bendigo, Victoria, Australia
| | - H David McIntyre
- Obstetric Medicine, Mater Health Services, University of Queensland, Brisbane, Queensland, Australia
| | - Mark Woodward
- The George Institute for Global Health, Imperial College London, London, UK
- The George Institute for Global Health, University of New South Wales, Sydney, Australia
| | - Liangkun Ma
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Beijing, China
| | - Rachel R Huxley
- The George Institute for Global Health, University of New South Wales, Sydney, Australia
- Faculty of Health, Deakin University, Melbourne, Australia
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Deischinger C, Bastian M, Leitner K, Bancher-Todesca D, Kiss H, Baumgartner-Parzer S, Kautzky-Willer A, Harreiter J. Gremlin-1 in pregnancy and postpartum: relation to the fatty liver index, markers of bone health, glucose metabolism and gestational diabetes mellitus status. Acta Diabetol 2023; 60:1699-1707. [PMID: 37518503 PMCID: PMC10587257 DOI: 10.1007/s00592-023-02151-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Accepted: 06/30/2023] [Indexed: 08/01/2023]
Abstract
INTRODUCTION Gremlin-1 is a peptide that functions as an antagonist to bone morphogenic proteins and is overexpressed in obesity and type 2 diabetes mellitus. Gremlin-1 has not yet been investigated in pregnancy, pregnancy-related insulin resistance or gestational diabetes mellitus (GDM). PATIENTS AND METHODS Gremlin-1 levels were measured throughout the pregnancy of 58 women at high risk for GDM at the Medical University of Vienna. Furthermore, an oral glucose tolerance test, fasting insulin, fasting glucose, sex hormones, blood lipids, liver and renal parameters, and markers of bone development were evaluated at two points during pregnancy (< 20 weeks of gestation (GW), GW 24-28) and 12-14 weeks postpartum. RESULTS Gremlin-1 levels decreased from < 20 GW (mean = 9.2 pg/ml, SD = 8.4 pg/ml) to GW 24-28 (mean = 6.7 pg/ml, SD = 5.7 pg/ml, p = 0.033) and increased again postpartum, albeit not significantly (mean = 10.7 pg/ml, SD = 13.1 pg/ml, p = 0.339). During pregnancy, Gremlin-1 levels correlated negatively with osteocalcin and procollagen type I aminoterminal propeptide (P1NP), markers of bone health. Concerning glucose metabolism, Gremlin-1 levels were inversely related to the Insulinogenic Index at GW < 20. However, Gremlin-1 levels were not significantly different between women with normal glucose tolerance and GDM during pregnancy. Postpartum, Gremlin-1 was associated with the fatty liver index, osteocalcin levels, diastolic blood pressure and weight. CONCLUSION Gremlin-1 levels decreased significantly during pregnancy. The biomarker is not related to GDM status, but correlates negatively with the Insulinogenic Index, an index related to beta cell function. Trial Registry Number ACTRN12616000924459.
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Affiliation(s)
- Carola Deischinger
- Gender Medicine Unit, Clinical Division of Endocrinology and Metabolism, Department of Internal Medicine III, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
| | - Magdalena Bastian
- Gender Medicine Unit, Clinical Division of Endocrinology and Metabolism, Department of Internal Medicine III, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
| | - Karoline Leitner
- Gender Medicine Unit, Clinical Division of Endocrinology and Metabolism, Department of Internal Medicine III, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
| | - Dagmar Bancher-Todesca
- Division of Fetomaternal Medicine, Department of Obstetrics and Gynaecology, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
| | - Herbert Kiss
- Division of Fetomaternal Medicine, Department of Obstetrics and Gynaecology, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
| | - Sabina Baumgartner-Parzer
- Gender Medicine Unit, Clinical Division of Endocrinology and Metabolism, Department of Internal Medicine III, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
| | - Alexandra Kautzky-Willer
- Gender Medicine Unit, Clinical Division of Endocrinology and Metabolism, Department of Internal Medicine III, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria
| | - Jürgen Harreiter
- Gender Medicine Unit, Clinical Division of Endocrinology and Metabolism, Department of Internal Medicine III, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria.
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Bravo N, Torres J, González-Ortiz M, Staforelli-Vivanco JP. Flickering of fetal erythrocytes membrane under gestational diabetes observed with dual time resolved membrane fluctuation spectroscopy. Biochem Biophys Rep 2023; 36:101556. [PMID: 37854941 PMCID: PMC10579865 DOI: 10.1016/j.bbrep.2023.101556] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Revised: 10/05/2023] [Accepted: 10/07/2023] [Indexed: 10/20/2023] Open
Abstract
The membrane flickering of human fetal red blood cells (RBCs) affected by gestational diabetes mellitus (GDM) was studied with dual time resolved membrane fluctuation spectroscopy (D-TRMFS). This new technique is a modified version of the dual optical tweezers method that has been adapted to measure the mechanical properties of RBCs at two distant membrane points simultaneously. The micro-rheological parameters were obtained from direct membrane flickering measurements, followed by Fourier decomposition and cell membrane model adjustment. Our results show a significant decrease of 6.01 ± 1.19 nm in membrane fluctuations amplitude in healthy fetal, compared with healthy adult RBCs, meanwhile the amplitude in GDM cells increased 3.22 ± 1.10 nm compared with healthy fetal RBCs. Between GDM and healthy fetal RBCs, there are significant differences, especially in the bending modulus. Considering the mean of the two membrane points measured, the tension for GDM RBCs increased by 6.431 ± 3.57 (10-7 [N/m]) compared with healthy fetal RBCs, meanwhile, the bending was increased by 2.483 ± 0.58 (10-19 [J]) in GDM compared with healthy fetal RBCs. These results showed significant increment of 1.23 ± 0.07-fold and 3.29 ± 0.36-fold in tension and bending modulus in GDM, respectively. The strong impact of GDM on bending modulus could be associated with oxidative stress and lipid peroxidation, previously reported in fetal plasma of GDM cases.
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Affiliation(s)
- Nicolás Bravo
- Departamento de Física, Facultad de Ciencias Físicas y Matemáticas, Universidad de Concepción, Concepción, Chile
| | - Javier Torres
- Laboratorio de Investigación Materno-Fetal (LIMaF), Departamento de Obstetricia y Ginecología, Facultad de Medicina, Universidad de Concepción, Concepción, Chile
| | - Marcelo González-Ortiz
- Laboratorio de Investigación Materno-Fetal (LIMaF), Departamento de Obstetricia y Ginecología, Facultad de Medicina, Universidad de Concepción, Concepción, Chile
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Karkia R, Giacchino T, Shah S, Gough A, Ramadan G, Akolekar R. Gestational Diabetes Mellitus: Association with Maternal and Neonatal Complications. MEDICINA (KAUNAS, LITHUANIA) 2023; 59:2096. [PMID: 38138200 PMCID: PMC10744613 DOI: 10.3390/medicina59122096] [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: 10/30/2023] [Revised: 11/23/2023] [Accepted: 11/24/2023] [Indexed: 12/24/2023]
Abstract
Background and objectives: Gestational diabetes mellitus (GDM) is known to be associated with pregnancy complications but there is limited evidence about the strength of these associations in recent clinical practice, especially after the introduction of strict guidelines for the management of pregnancies with GDM in a multidisciplinary team setting. The objectives of our study were to first compare the rates of complications in pregnancies with GDM with those that had pre-existing diabetes mellitus and those without diabetes; and second, to derive measures of effect size expressed as odds ratios after adjustment for confounding factors to assess the independent association of GDM in prediction of these pregnancy complications. Materials and Methods: This was a prospective cohort study undertaken at a large maternity unit in the United Kingdom between January 2010 and June 2022. We included singleton pregnancies that were booked at our unit at 11-13 weeks' gestation. Multivariate regression analysis was carried out to determine the risks of complications in pregnancies with GDM after adjusting for pregnancy characteristics. Risks were expressed as odds ratio (OR) (95% confidence intervals [CI]) and expressed graphically in forest plots. Results: The study population included 53,649 singleton pregnancies including 509 (1%) with pre-existing DM, 2089 (4%) with GDM and 49,122 (95%) pregnancies without diabetes. Multivariate regression analysis demonstrated that there was a significant independent contribution from GDM in the prediction of adverse outcomes, including maternal complications such as preterm delivery, polyhydramnios, preeclampsia and delivery of large for gestational age neonates and elective caesarean section (CS); and neonatal complications including admission to neonatal intensive care unit, hypoglycaemia, jaundice and respiratory distress syndrome. Conclusions: GDM is associated with an increased rate of pregnancy complications compared to those without diabetes, even after adjustment for maternal and pregnancy characteristics. GDM does not increase the risk of stillbirth, hypoxic ischaemic encephalopathy or neonatal death.
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Affiliation(s)
- Rebecca Karkia
- Medway Fetal and Maternal Medicine Centre, Medway NHS Foundation Trust, Gillingham ME7 5NY, UK
| | - Tara Giacchino
- Medway Fetal and Maternal Medicine Centre, Medway NHS Foundation Trust, Gillingham ME7 5NY, UK
| | - Saadia Shah
- Women’s Care Group, Department of Obstetrics, Medway NHS Foundation Trust, Gillingham ME7 5NY, UK
| | - Andrew Gough
- Department of Diabetes and Endocrinology, Medway NHS Foundation Trust, Gillingham ME7 5NY, UK
| | - Ghada Ramadan
- Oliver Fisher Neonatal Unit, Medway NHS Foundation Trust, Gillingham ME7 5NY, UK
| | - Ranjit Akolekar
- Medway Fetal and Maternal Medicine Centre, Medway NHS Foundation Trust, Gillingham ME7 5NY, UK
- Women’s Care Group, Department of Obstetrics, Medway NHS Foundation Trust, Gillingham ME7 5NY, UK
- Institute of Medical Sciences, Canterbury Christ Church University, Chatham, Kent ME4 4UF, UK
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Olga L, Sovio U, Wong H, Smith GCS, Aiken CEM. Maternal high body mass index, but not gestational diabetes, is associated with poorer educational attainment in mid-childhood. Am J Obstet Gynecol 2023:S0002-9378(23)02029-X. [PMID: 37981092 DOI: 10.1016/j.ajog.2023.11.1227] [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: 05/05/2023] [Revised: 10/26/2023] [Accepted: 11/09/2023] [Indexed: 11/21/2023]
Abstract
BACKGROUND Previous studies suggest that gestational diabetes mellitus is associated with poorer cognitive outcomes in children. However, confounding factors, especially maternal body mass index, have been poorly accounted for. OBJECTIVE This study aimed to examine the independent associations between maternal body mass index, gestational diabetes mellitus status, and educational outcomes. STUDY DESIGN Antenatal data from a prospective birth cohort (Pregnancy Outcome Prediction Study, 2008-2012, Cambridge, United Kingdom) were linked to mid-childhood educational outcomes (Department for Education, United Kingdom). A total of 3249 children born at term were stratified by maternal gestational diabetes mellitus status and body mass index at booking (<25 vs ≥25 kg/m2). Regression models adjusted for relevant maternal, child, and socioeconomic factors were used to determine associations with academic outcomes at ages of 5 to 7 years. RESULTS No differences in educational attainment were found between children exposed to gestational diabetes mellitus and nonexposed children. Neither maternal glucose levels measured at 11 to 14 or 24 to 28 weeks, nor acceleration of the fetal abdominal circumference growth velocity were related to educational attainment at ages of 5 to 7 years. Children of mothers with booking body mass index ≥25 kg/m2 (vs <25 kg/m2) were ∼50% more likely to not meet expected educational standards regardless of gestational diabetes mellitus status (age 5: adjusted odds ratio, 1.44; 95% confidence interval, 1.19-1.74; P<.001; age 6: adjusted odds ratio, 1.61; 95% confidence interval, 1.28-2.02; P<.001). The association between maternal body mass index and offspring educational attainment is dose-dependent and robust to stratification by gestational diabetes mellitus status and adjustment for socioeconomic factors. CONCLUSION Mid-childhood educational attainment is not associated with maternal glucose status. This may provide important reassurance for pregnant women and clinicians. However, maternal body mass index is associated with lower childhood educational attainment and may be modifiable with intervention before or during pregnancy.
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Affiliation(s)
- Laurentya Olga
- Department of Obstetrics and Gynaecology, Rosie Hospital, National Institute for Health and Care Research Cambridge Biomedical Research Centre, University of Cambridge, Cambridge, United Kingdom
| | - Ulla Sovio
- Department of Obstetrics and Gynaecology, Rosie Hospital, National Institute for Health and Care Research Cambridge Biomedical Research Centre, University of Cambridge, Cambridge, United Kingdom
| | - Hilary Wong
- Department of Paediatrics, University of Cambridge, Cambridge Biomedical Campus, Cambridge, United Kingdom
| | - Gordon C S Smith
- Department of Obstetrics and Gynaecology, Rosie Hospital, National Institute for Health and Care Research Cambridge Biomedical Research Centre, University of Cambridge, Cambridge, United Kingdom
| | - Catherine E M Aiken
- Department of Obstetrics and Gynaecology, Rosie Hospital, National Institute for Health and Care Research Cambridge Biomedical Research Centre, University of Cambridge, Cambridge, United Kingdom.
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27
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Huang S, Chen J, Cui Z, Ma K, Wu D, Luo J, Li F, Xiong W, Rao S, Xiang Q, Shi W, Song T, Deng J, Yin Y, Tan C. Lachnospiraceae-derived butyrate mediates protection of high fermentable fiber against placental inflammation in gestational diabetes mellitus. SCIENCE ADVANCES 2023; 9:eadi7337. [PMID: 37922350 PMCID: PMC10624355 DOI: 10.1126/sciadv.adi7337] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Accepted: 10/04/2023] [Indexed: 11/05/2023]
Abstract
Inflammation-associated insulin resistance is a key trigger of gestational diabetes mellitus (GDM), but the underlying mechanisms and effective interventions remain unclear. Here, we report the association of placental inflammation (tumor necrosis factor-α) and abnormal maternal glucose metabolism in patients with GDM, and a high fermentable dietary fiber (HFDF; konjac) could reduce GDM development through gut flora-short-chain fatty acid-placental inflammation axis in GDM mouse model. Mechanistically, HFDF increases abundances of Lachnospiraceae and butyrate, reduces placental-derived inflammation by enhancing gut barrier and inhibiting the transfer of bacterial-derived lipopolysaccharide, and ultimately resists high-fat diet-induced insulin resistance. Lachnospiraceae and butyrate have similar anti-GDM and anti-placental inflammation effects, and they can ameliorate placental function and pregnancy outcome effects probably by dampening placental immune dysfunction. These findings demonstrate the involvement of important placental inflammation-related mechanisms in the progression of GDM and the great potential of HFDFs to reduce susceptibility to GDM through gut-flora-placenta axis.
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Affiliation(s)
- Shuangbo Huang
- Guangdong Provincial Key Laboratory of Animal Nutrition Control, National Engineering Research Center for Breeding Swine Industry, Institute of Subtropical Animal Nutrition and Feed, College of Animal Science, South China Agricultural University, Guangzhou 510642, China
| | - Jianzhao Chen
- Guangdong Provincial Key Laboratory of Animal Nutrition Control, National Engineering Research Center for Breeding Swine Industry, Institute of Subtropical Animal Nutrition and Feed, College of Animal Science, South China Agricultural University, Guangzhou 510642, China
| | - Zhijuan Cui
- Guangdong Provincial Key Laboratory of Animal Nutrition Control, National Engineering Research Center for Breeding Swine Industry, Institute of Subtropical Animal Nutrition and Feed, College of Animal Science, South China Agricultural University, Guangzhou 510642, China
| | - Kaidi Ma
- Guangdong Provincial Key Laboratory of Animal Nutrition Control, National Engineering Research Center for Breeding Swine Industry, Institute of Subtropical Animal Nutrition and Feed, College of Animal Science, South China Agricultural University, Guangzhou 510642, China
| | - Deyuan Wu
- Guangdong Provincial Key Laboratory of Animal Nutrition Control, National Engineering Research Center for Breeding Swine Industry, Institute of Subtropical Animal Nutrition and Feed, College of Animal Science, South China Agricultural University, Guangzhou 510642, China
| | - Jinxi Luo
- Guangdong Provincial Key Laboratory of Animal Nutrition Control, National Engineering Research Center for Breeding Swine Industry, Institute of Subtropical Animal Nutrition and Feed, College of Animal Science, South China Agricultural University, Guangzhou 510642, China
| | - Fuyong Li
- Guangdong Provincial Key Laboratory of Animal Nutrition Control, National Engineering Research Center for Breeding Swine Industry, Institute of Subtropical Animal Nutrition and Feed, College of Animal Science, South China Agricultural University, Guangzhou 510642, China
- Department of Shenzhen Institute of Respiratory Diseases, The Second Clinical Medical College, Jinan University (Shenzhen People’s Hospital), Shenzhen 518000, China
- Department of Obstetrics and Gynecology, The Second Clinical Medical College, Jinan University (Shenzhen People’s Hospital), Shenzhen 518000, China
- Huazhong Agricultural University, College of Animal Science and Technology, Wuhan 430070, China
- National Engineering Laboratory for Pollution Control and Waste Utilization in Livestock and Poultry Production, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China
| | - Wenyu Xiong
- Guangdong Provincial Key Laboratory of Animal Nutrition Control, National Engineering Research Center for Breeding Swine Industry, Institute of Subtropical Animal Nutrition and Feed, College of Animal Science, South China Agricultural University, Guangzhou 510642, China
| | - Sujuan Rao
- Guangdong Provincial Key Laboratory of Animal Nutrition Control, National Engineering Research Center for Breeding Swine Industry, Institute of Subtropical Animal Nutrition and Feed, College of Animal Science, South China Agricultural University, Guangzhou 510642, China
| | - Quanhang Xiang
- Department of Shenzhen Institute of Respiratory Diseases, The Second Clinical Medical College, Jinan University (Shenzhen People’s Hospital), Shenzhen 518000, China
| | - Wei Shi
- Department of Obstetrics and Gynecology, The Second Clinical Medical College, Jinan University (Shenzhen People’s Hospital), Shenzhen 518000, China
| | - Tongxing Song
- Huazhong Agricultural University, College of Animal Science and Technology, Wuhan 430070, China
| | - Jinping Deng
- Guangdong Provincial Key Laboratory of Animal Nutrition Control, National Engineering Research Center for Breeding Swine Industry, Institute of Subtropical Animal Nutrition and Feed, College of Animal Science, South China Agricultural University, Guangzhou 510642, China
| | - Yulong Yin
- Guangdong Provincial Key Laboratory of Animal Nutrition Control, National Engineering Research Center for Breeding Swine Industry, Institute of Subtropical Animal Nutrition and Feed, College of Animal Science, South China Agricultural University, Guangzhou 510642, China
- National Engineering Laboratory for Pollution Control and Waste Utilization in Livestock and Poultry Production, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China
| | - Chengquan Tan
- Guangdong Provincial Key Laboratory of Animal Nutrition Control, National Engineering Research Center for Breeding Swine Industry, Institute of Subtropical Animal Nutrition and Feed, College of Animal Science, South China Agricultural University, Guangzhou 510642, China
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Bengtson AM, Madlala H, Matjila MJ, Levitt N, Goedecke JH, Cu-Uvin S, McGarvey ST, Werner EF, Myer L. Associations of HIV and antiretroviral therapy with gestational diabetes in South Africa. AIDS 2023; 37:2069-2079. [PMID: 37534696 PMCID: PMC10538400 DOI: 10.1097/qad.0000000000003678] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/04/2023]
Abstract
OBJECTIVE To estimate associations of HIV status and antiretroviral (ART) regimen with gestational diabetes (GDM) and postpartum glucose metabolism. DESIGN Prospective cohort study. METHODS We enrolled pregnant persons with HIV (PWH) and without HIV in Cape Town, South Africa who were at least 18 years of age at 24-28 weeks' gestation and followed up to 26 months postpartum. Participants were tested for GDM in pregnancy and for diabetes postpartum using a 75 g 2 h oral glucose tolerance test (OGTT) and diagnosed via WHO criteria. We estimated associations of HIV status and ART regime [efavirenz (EFV) versus dolutegravir (DTG)] with GDM and postpartum impaired glucose metabolism using multivariable log binomial or linear regression models. RESULTS Among 397 participants [median age 30 (interquartile range (IQR) 25-34; n = 198 without HIV, n = 199 PWH], the prevalence of GDM was 6% (9 PWH versus 3% without HIV). In multivariable analyses, PWH were at higher risk of GDM [risk ratio (RR) 3.9, 95% confidence interval (CI) 1.4-10.7] after adjustment for prepregnancy BMI and other confounders. GDM risk did not differ by ART regimen (unadjusted prevalence 8.1% DTG versus 5.6% EFV, adjusted RR 1.1, 95% CI 0.2-6.6). Few participants had diabetes, impaired glucose tolerance (IGT), or impaired fasting glucose postpartum ( n = 13, 6%) with no differences by HIV or ART status. CONCLUSION In a setting of universal GDM testing, PWH had an increased risk of impaired glucose metabolism during pregnancy but not postpartum. Among PWH, GDM risk was similar regardless of EFV or DTG use. Given concerns about DTG and weight gain, diabetes risk should continue to be monitored.
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Affiliation(s)
- Angela M Bengtson
- Department of Epidemiology and International Health Institute, Brown University School of Public Health, Providence, Rhode Island, USA
| | - Hlengiwe Madlala
- Division of Epidemiology and Biostatistics, School of Public Health and Family Medicine, University of Cape Town
| | - Mushi J Matjila
- Department of Obstetrics & Gynaecology, University of Cape Town and New Somerset Hospital
| | - Naomi Levitt
- Chronic Disease Initiative for Africa, Department of Medicine
| | - Julia H Goedecke
- Health through Physical Activity, Lifestyle and Sport Research Centre, Division of Physiological Sciences, Department of Human Biology, University of Cape Town
- Biomedical Research and Innovation Platform, South African Medical Research Council, Cape Town, South Africa
| | - Susan Cu-Uvin
- Department of Obstetrics and Gynecology and Medicine, Warren Alpert School of Medicine, Brown University, Providence, Rhode Island
| | - Stephen T McGarvey
- Department of Epidemiology and International Health Institute, Brown University School of Public Health, Providence, Rhode Island, USA
| | - Erika F Werner
- Department of Obstetrics and Gynecology, Tufts University School of Medicine, Boston, Massachusetts, USA
| | - Landon Myer
- Division of Epidemiology and Biostatistics, School of Public Health and Family Medicine, University of Cape Town
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Wang W, Li N, Wang X, Zhang X, Tu M, Lin L, Li Q, Zhang H, Liu J, Yang X, Hao L, Yang N. Remnant Cholesterol Is Associated With Gestational Diabetes Mellitus: A Cohort Study. J Clin Endocrinol Metab 2023; 108:2924-2930. [PMID: 37167108 DOI: 10.1210/clinem/dgad262] [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: 03/22/2023] [Revised: 04/25/2023] [Accepted: 05/08/2023] [Indexed: 05/13/2023]
Abstract
CONTEXT The association between remnant cholesterol (RC) and gestational diabetes mellitus (GDM) risk is unclear. OBJECTIVE This study investigated the association between RC and GDM. METHODS We used data from the Tongji Maternal and Child Health Cohort, a prospective cohort study in China. Fasting lipid concentrations were measured around 16 weeks' gestation. RC was calculated as total cholesterol minus low-density lipoprotein cholesterol and high-density lipoprotein cholesterol. GDM was diagnosed by a 75-g oral glucose tolerance test at 24 to 28 weeks' gestation. Log-Poisson regression models were performed to estimate relative risks (RRs) of GDM across quartiles of RC levels and triglyceride (TG) levels after adjustment for potential confounders. TG and RC were mutually adjusted. RESULTS Among 2528 women, 256 (10.1%) developed GDM. The adjusted RRs (95% CIs) for GDM across increasing quartiles of RC were 1.00 (reference), 1.35 (0.91, 1.99), 1.68 (1.16, 2.45), and 1.73 (1.19, 2.50), respectively. Compared to pregnant women without 3 risk indicators (TG <2.08 mmol/L, RC <0.40 mmol/L, and pre-BMI <24.0 kg/m2), the risk of GDM was elevated in those with normal pre-BMI but high RC (aRR: 1.54; 95% CI: 1.08, 2.19) or high TG (aRR: 2.15; 95% CI: 1.33, 3.49). For those with all 3 risk indicators, the risk of GDM was the highest (aRR: 4.80; 95% CI: 3.20, 7.18). CONCLUSION Elevated RC levels were associated with the increased risk of GDM and independent of traditional risk factors. Pregnant women with high pre-BMI, high TG, and high RC were at greatly increased risk of GDM.
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Affiliation(s)
- Weiming Wang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, 430030, China
| | - Na Li
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, 430030, China
| | - Xiaoyi Wang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, 430030, China
- Department of Clinical Nutrition, The Third People's Hospital of Hubei Province, Wuhan, Hubei, 430030, China
| | - Xu Zhang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, 430030, China
| | - Menghan Tu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, 430030, China
| | - Lixia Lin
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, 430030, China
| | - Qian Li
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, 430030, China
| | - Huaqi Zhang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, 430030, China
| | - Jin Liu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, 430030, China
| | - Xuefeng Yang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, 430030, China
| | - Liping Hao
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, 430030, China
| | - Nianhong Yang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, 430030, China
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Kramer AC, Jansson T, Bale TL, Powell TL. Maternal-fetal cross-talk via the placenta: influence on offspring development and metabolism. Development 2023; 150:dev202088. [PMID: 37831056 PMCID: PMC10617615 DOI: 10.1242/dev.202088] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2023]
Abstract
Compelling epidemiological and animal experimental data demonstrate that cardiometabolic and neuropsychiatric diseases originate in a suboptimal intrauterine environment. Here, we review evidence suggesting that altered placental function may, at least in part, mediate the link between the maternal environment and changes in fetal growth and development. Emerging evidence indicates that the placenta controls the development and function of several fetal tissues through nutrient sensing, modulation of trophoblast nutrient transporters and by altering the number and cargo of released extracellular vesicles. In this Review, we discuss the development and functions of the maternal-placental-fetal interface (in humans and mice) and how cross-talk between these compartments may be a mechanism for in utero programming, focusing on mechanistic target of rapamycin (mTOR), adiponectin and O-GlcNac transferase (OGT) signaling. We also discuss how maternal diet and stress influences fetal development and metabolism and how fetal growth restriction can result in susceptibility to developing chronic disease later in life. Finally, we speculate how interventions targeting placental function may offer unprecedented opportunities to prevent cardiometabolic disease in future generations.
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Affiliation(s)
- Avery C. Kramer
- Departments of Obstetrics & Gynecology, Psychiatry and Pediatrics, Anschutz Medical Campus, University of Colorado, Aurora, CO 80045, USA
| | - Thomas Jansson
- Departments of Obstetrics & Gynecology, Psychiatry and Pediatrics, Anschutz Medical Campus, University of Colorado, Aurora, CO 80045, USA
| | - Tracy L. Bale
- Departments of Obstetrics & Gynecology, Psychiatry and Pediatrics, Anschutz Medical Campus, University of Colorado, Aurora, CO 80045, USA
| | - Theresa L. Powell
- Departments of Obstetrics & Gynecology, Psychiatry and Pediatrics, Anschutz Medical Campus, University of Colorado, Aurora, CO 80045, USA
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Haddad-Tóvolli R, Claret M. Metabolic and feeding adjustments during pregnancy. Nat Rev Endocrinol 2023; 19:564-580. [PMID: 37525006 DOI: 10.1038/s41574-023-00871-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 06/29/2023] [Indexed: 08/02/2023]
Abstract
Eating behaviours are determined by the integration of interoceptive and environmental inputs. During pregnancy, numerous physiological adaptations take place in the maternal organism to provide an adequate environment for embryonic growth. Among them, whole-body physiological remodelling directly influences eating patterns, commonly causing notable taste perception alterations, food aversions and cravings. Recurrent food cravings for and compulsive eating of highly palatable food can contribute to the development and maintenance of gestational overweight and obesity with potential adverse health consequences for the offspring. Although much is known about how maternal eating habits influence offspring health, the mechanisms that underlie changes in taste perception and food preference during pregnancy (which guide and promote feeding) are only just starting to be elucidated. Given the limited and diffuse understanding of the neurobiology of gestational eating patterns, the aim of this Review is to compile, integrate and discuss the research conducted on this topic in both experimental models and humans. This article sheds light on the mechanisms that drive changes in female feeding behaviours during distinct physiological states. Understanding these processes is crucial to improve gestational parent health and decrease the burden of metabolic and food-related diseases in future generations.
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Affiliation(s)
- Roberta Haddad-Tóvolli
- Neuronal Control of Metabolism (NeuCoMe) Laboratory, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain.
| | - Marc Claret
- Neuronal Control of Metabolism (NeuCoMe) Laboratory, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain.
- CIBER de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Barcelona, Spain.
- School of Medicine, Universitat de Barcelona, Barcelona, Spain.
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Meyer BJ, Cortie C, Dekker-Nitert M, Barrett HL, Freeman DJ. Women with gestational diabetes mellitus, controlled for plasma glucose level, exhibit maternal and fetal dyslipidaemia that may warrant treatment. Diabetes Res Clin Pract 2023; 204:110929. [PMID: 37783345 DOI: 10.1016/j.diabres.2023.110929] [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: 07/26/2023] [Revised: 09/16/2023] [Accepted: 09/29/2023] [Indexed: 10/04/2023]
Abstract
AIMS To compare maternal and fetal cord plasma and lipoprotein triglyceride (TG) concentrations in women with Gestational Diabetes Mellitus (GDM), with hyperglycaemia and hypertriglyceridaemia, and healthy women. METHODS Fasted maternal blood at 28.6 ± 3.4 (T1) and 36.2 ± 1.0 (T2) [mean ± S.D] weeks of gestation, and cord blood were collected. Plasma lipoprotein fractions underwent compositional analysis. RESULTS Plasma glucose did not differ between GDM and healthy women. T1 maternal plasma TG (2.60 ± 0.89 mmol/l versus 1.71 ± 0.69 mmol/l) and plasma apolipoprotein B (1.30 ± 0.48 g/l versus 0.75 ± 0.40 g/l) were higher in GDM compared to healthy. Maternal plasma TG increased over gestation in both groups. T1 plasma VLDL total protein (38 ± 15 mg/dl versus 25 ± 11 mg/dl), total cholesterol (TC) (30 ± 14 mg/dl versus 16 ± 13 mg/dl) and phospholipid (PL) (43 ± 17 mg/dl versus 26 ± 16 mg/dl) were higher in GDM than healthy, and similarly for IDL, suggesting increased lipoprotein particle number. T1 VLDL-TG enrichment was higher in healthy and increased over gestation in GDM women but decreased in healthy. IDL-TG enrichment (TG/TC) increased over gestation in women with GDM and decreased in healthy. Cord blood VLDL, IDL and LDL from GDM had a two-fold higher TG enrichment than healthy pregnancy. CONCLUSION Increased maternal lipoprotein number, but not TG enrichment, in GDM mothers may explain TG enrichment of cord lipoproteins.
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Affiliation(s)
- Barbara J Meyer
- School of Medical, Indigenous and Health Science, University of Wollongong, Northfields Ave, Illawarra Health and Medical Research Institute, Molecular Horizons, Wollongong, NSW 2522, Australia
| | - Colin Cortie
- Graduate School of Medicine, University of Wollongong, Northfields Ave, Illawarra Health and Medical Research Institute, Wollongong, NSW 2522, Australia
| | - Marloes Dekker-Nitert
- School of Chemistry and Molecular Biosciences, The University of Queensland, St Lucia, QLD 4072, Australia
| | - Helen L Barrett
- Mater Research Institute-The University of Queensland, South Brisbane, QLD, Australia; Obstetric Medicine, Royal Hospital for Women, Randwick, NSW, 2031, Australia; Faculty of Medicine, University of New South Wales, Randwick, NSW, 2031, Australia.
| | - Dilys J Freeman
- School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow G12 8QQ, UK
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Lis-Kuberka J, Pupek M, Orczyk-Pawiłowicz M. The Mother-Child Dyad Adipokine Pattern: A Review of Current Knowledge. Nutrients 2023; 15:4059. [PMID: 37764842 PMCID: PMC10535905 DOI: 10.3390/nu15184059] [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: 08/21/2023] [Revised: 09/11/2023] [Accepted: 09/13/2023] [Indexed: 09/29/2023] Open
Abstract
An important role in the network of interconnections between the mother and child is played by adipokines, which are adipose tissue hormones engaged in the regulation of metabolism. Alternations of maternal adipokines translate to the worsening of maternal insulin resistance as well as metabolic stress, altered placenta functions, and fetal development, which finally contribute to long-term metabolic unfavorable conditions. This paper is the first to summarize the current state of knowledge concerning the concentrations of individual adipokines in different biological fluids of maternal and cord plasma, newborn/infant plasma, milk, and the placenta, where it highlights the impact of adverse perinatal risk factors, including gestational diabetes mellitus, preeclampsia, intrauterine growth restriction, preterm delivery, and maternal obesity on the adipokine patterns in maternal-infant dyads. The importance of adipokine measurement and relationships in biological fluids during pregnancy and lactation is crucial for public health in the area of prevention of most diet-related metabolic diseases. The review highlights the huge knowledge gap in the field of hormones participating in the energy homeostasis and metabolic pathways during perinatal and postnatal periods in the mother-child dyad. An in-depth characterization is needed to confirm if the adverse outcomes of early developmental programming might be modulated via maternal lifestyle intervention.
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Affiliation(s)
- Jolanta Lis-Kuberka
- Department of Biochemistry and Immunochemistry, Division of Chemistry and Immunochemistry, Wroclaw Medical University, M. Skłodowskiej-Curie 48/50, 50-369 Wroclaw, Poland
| | | | - Magdalena Orczyk-Pawiłowicz
- Department of Biochemistry and Immunochemistry, Division of Chemistry and Immunochemistry, Wroclaw Medical University, M. Skłodowskiej-Curie 48/50, 50-369 Wroclaw, Poland
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Belsti Y, Moran L, Handiso DW, Versace V, Goldstein R, Mousa A, Teede H, Enticott J. Models Predicting Postpartum Glucose Intolerance Among Women with a History of Gestational Diabetes Mellitus: a Systematic Review. Curr Diab Rep 2023; 23:231-243. [PMID: 37294513 PMCID: PMC10435618 DOI: 10.1007/s11892-023-01516-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/22/2023] [Indexed: 06/10/2023]
Abstract
PURPOSE OF REVIEW Despite the crucial role that prediction models play in guiding early risk stratification and timely intervention to prevent type 2 diabetes after gestational diabetes mellitus (GDM), their use is not widespread in clinical practice. The purpose of this review is to examine the methodological characteristics and quality of existing prognostic models predicting postpartum glucose intolerance following GDM. RECENT FINDINGS A systematic review was conducted on relevant risk prediction models, resulting in 15 eligible publications from research groups in various countries. Our review found that traditional statistical models were more common than machine learning models, and only two were assessed to have a low risk of bias. Seven were internally validated, but none were externally validated. Model discrimination and calibration were done in 13 and four studies, respectively. Various predictors were identified, including body mass index, fasting glucose concentration during pregnancy, maternal age, family history of diabetes, biochemical variables, oral glucose tolerance test, use of insulin in pregnancy, postnatal fasting glucose level, genetic risk factors, hemoglobin A1c, and weight. The existing prognostic models for glucose intolerance following GDM have various methodological shortcomings, with only a few models being assessed to have low risk of bias and validated internally. Future research should prioritize the development of robust, high-quality risk prediction models that follow appropriate guidelines, in order to advance this area and improve early risk stratification and intervention for glucose intolerance and type 2 diabetes among women who have had GDM.
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Affiliation(s)
- Yitayeh Belsti
- Monash Centre for Health Research and Implementation, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Australia
| | - Lisa Moran
- Monash Centre for Health Research and Implementation, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Australia
| | - Demelash Woldeyohannes Handiso
- Monash Centre for Health Research and Implementation, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Australia
| | - Vincent Versace
- Deakin Rural Health, School of Medicine, Deakin University, Warrnambool, Australia
| | - Rebecca Goldstein
- Monash Centre for Health Research and Implementation, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Australia
- Monash Health, Clayton, Melbourne, Australia
| | - Aya Mousa
- Monash Centre for Health Research and Implementation, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Australia
| | - Helena Teede
- Monash Centre for Health Research and Implementation, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Australia
- Monash Health, Clayton, Melbourne, Australia
| | - Joanne Enticott
- Monash Centre for Health Research and Implementation, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Australia.
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Cristian A, Tarry-Adkins JL, Aiken CE. The Uterine Environment and Childhood Obesity Risk: Mechanisms and Predictions. Curr Nutr Rep 2023; 12:416-425. [PMID: 37338777 PMCID: PMC10444661 DOI: 10.1007/s13668-023-00482-z] [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: 05/30/2023] [Indexed: 06/21/2023]
Abstract
PURPOSE OF REVIEW Childhood obesity is a growing health problem in many populations, hence the urgent need to unravel the underlying mechanisms. Some evidence suggests that exposure to suboptimal intrauterine environments can program foetal metabolic health, with adverse consequences in later life, including susceptibility to childhood obesity. FINDINGS Factors such as high and low foetal birth weight, excessive gestational-weight-gain, maternal stress and smoking are all associated with increased risk of childhood obesity in observational studies. Animal models, where both genetic background and the postnatal environment can be carefully controlled, suggest that several different mechanisms, including epigenetic changes, dysregulation of adipose tissue development and programming of appetite, may be key drivers of developmental programming of childhood obesity. However, the influence of genetics and the post-natal environment are much more difficult to disentangle as independent effects in human studies, which are also complicated by low follow-up rates. Suboptimal intrauterine environments interact with maternal and foetal genetics and with the postnatal environment to contribute to the risk of childhood obesity. Maternal metabolic challenges, for example obesity and insulin resistance, contribute to the risk of foetal overgrowth and subsequent adiposity in childhood. To protect the long-term health of populations, research focusing on effective means of identifying and intervening in the transgenerational cycle of childhood obesity is required.
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Affiliation(s)
- Andreea Cristian
- Department of Obstetrics and Gynaecology, University of CambridgeThe Rosie HospitalandNIHR Cambridge Biomedical Research Centre, Box 223, Cambridge, CB2 0SW, UK
- Wellcome-MRC Institute of Metabolic Science and Medical Research Council Metabolic Diseases Unit, University of Cambridge, Addenbrooke's Hospital, Cambridge, CB2 0QQ, UK
| | - Jane L Tarry-Adkins
- Department of Obstetrics and Gynaecology, University of CambridgeThe Rosie HospitalandNIHR Cambridge Biomedical Research Centre, Box 223, Cambridge, CB2 0SW, UK
| | - Catherine E Aiken
- Department of Obstetrics and Gynaecology, University of CambridgeThe Rosie HospitalandNIHR Cambridge Biomedical Research Centre, Box 223, Cambridge, CB2 0SW, UK.
- Wellcome-MRC Institute of Metabolic Science and Medical Research Council Metabolic Diseases Unit, University of Cambridge, Addenbrooke's Hospital, Cambridge, CB2 0QQ, UK.
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Cosson E, Tatulashvili S, Vicaut E, Pinto S, Sal M, Nachtergaele C, Berkane N, Benbara A, Fermaut M, Portal JJ, Carbillon L, Bihan H. Glycemic status during pregnancy according to fasting and post-load glucose values: The association with adverse pregnancy outcomes. An observational study. DIABETES & METABOLISM 2023; 49:101469. [PMID: 37648077 DOI: 10.1016/j.diabet.2023.101469] [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: 04/07/2023] [Revised: 07/31/2023] [Accepted: 08/19/2023] [Indexed: 09/01/2023]
Abstract
AIM Prognosis of treated hyperglycemia in pregnancy (HIP) may differ according to whether diagnosis following an oral glucose tolerance test (OGTT) is based on high fasting and/or high post-load glucose values. METHODS From a multiethnic prospective study, we included 8,339 women screened for HIP after 22 weeks of gestation. We evaluated the risk of large-for-gestational-age (LGA) infant (primary endpoint) and other adverse pregnancy outcomes according to HIP status in four groups defined as follows: no HIP (n = 6,832, reference); isolated fasting HIP (n = 465), isolated post-load HIP (n = 646), and fasting and post-load HIP (n = 396). RESULTS After adjusting for age, body mass index, ethnicity, smoking during pregnancy and parity, compared with no HIP, the adjusted odds ratios [95% confidence interval] for LGA infant were higher in the isolated fasting HIP (1.47 [1.11-1.96]) and fasting and post-load HIP (1.65 [1.23-2.21]) groups, but not in the isolated post-load HIP (1.13 [0.86-1.48]) group. The adjusted odds ratios for preterm delivery and neonatal intensive care unit were higher in the post-load HIP group (1.44 [1.03-2.03] and 1.28 [1.04-1.57], respectively), the fasting and post-load HIP group (1.81 [1.23-2.68] and 1.42 [1.10-1.81], respectively) but not in the isolated fasting HIP group (1.34 [0.90-2.00] and 1.20 [0.94-1.52], respectively). CONCLUSION Despite glucose-lowering care and adjustment for confounders, compared with no HIP, fasting HIP was associated with a higher rate of LGA infant, whereas post-load HIP was associated with higher preterm delivery and neonatal intensive care unit admission rates.
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Affiliation(s)
- Emmanuel Cosson
- AP-HP, Avicenne Hospital, Paris 13 University, Sorbonne Paris Cité, Department of Endocrinology-Diabetology-Nutrition, CRNH-IdF, CINFO, 125 route de Stalingrad, Hôpital Avicenne, Bobigny 93009, France; Paris 13 University, Sorbonne Paris Cité, UMR U557 INSERM/U11125 INRAE/CNAM/Université Paris13, Unité de Recherche Epidémiologique Nutritionnelle, Bobigny, France.
| | - Sopio Tatulashvili
- AP-HP, Avicenne Hospital, Paris 13 University, Sorbonne Paris Cité, Department of Endocrinology-Diabetology-Nutrition, CRNH-IdF, CINFO, 125 route de Stalingrad, Hôpital Avicenne, Bobigny 93009, France; Paris 13 University, Sorbonne Paris Cité, UMR U557 INSERM/U11125 INRAE/CNAM/Université Paris13, Unité de Recherche Epidémiologique Nutritionnelle, Bobigny, France
| | - Eric Vicaut
- AP-HP, Unité de Recherche Clinique St-Louis-Lariboisière, Université Denis Diderot, Paris, France
| | - Sara Pinto
- AP-HP, Jean Verdier Hospital, Paris 13 University, Sorbonne Paris Cité, Department of Endocrinology-Diabetology-Nutrition, CRNH-IdF, CINFO, Bondy, France
| | - Meriem Sal
- AP-HP, Avicenne Hospital, Paris 13 University, Sorbonne Paris Cité, Department of Endocrinology-Diabetology-Nutrition, CRNH-IdF, CINFO, 125 route de Stalingrad, Hôpital Avicenne, Bobigny 93009, France
| | - Charlotte Nachtergaele
- AP-HP, Unité de Recherche Clinique St-Louis-Lariboisière, Université Denis Diderot, Paris, France
| | - Narimane Berkane
- AP-HP, Avicenne Hospital, Paris 13 University, Sorbonne Paris Cité, Department of Endocrinology-Diabetology-Nutrition, CRNH-IdF, CINFO, 125 route de Stalingrad, Hôpital Avicenne, Bobigny 93009, France
| | - Amélie Benbara
- AP-HP, Jean Verdier Hospital, Paris 13 University, Sorbonne Paris Cité, Department of Obstetrics and Gynecology, Bondy, France
| | - Marion Fermaut
- AP-HP, Jean Verdier Hospital, Paris 13 University, Sorbonne Paris Cité, Department of Obstetrics and Gynecology, Bondy, France
| | - Jean-Jacques Portal
- AP-HP, Unité de Recherche Clinique St-Louis-Lariboisière, Université Denis Diderot, Paris, France
| | - Lionel Carbillon
- AP-HP, Jean Verdier Hospital, Paris 13 University, Sorbonne Paris Cité, Department of Obstetrics and Gynecology, Bondy, France
| | - Hélène Bihan
- AP-HP, Avicenne Hospital, Paris 13 University, Sorbonne Paris Cité, Department of Endocrinology-Diabetology-Nutrition, CRNH-IdF, CINFO, 125 route de Stalingrad, Hôpital Avicenne, Bobigny 93009, France
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Zhou X, Hong X, Huang K, Ding X, Yu H, Zhao J, Xuan Y, Yan T, Wang B. Poor sleep quality in early pregnancy increases the risk of developing gestational diabetes mellitus: a propensity score matching analysis. Sleep Breath 2023; 27:1557-1565. [PMID: 36414784 PMCID: PMC9684785 DOI: 10.1007/s11325-022-02748-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Revised: 10/14/2022] [Accepted: 11/14/2022] [Indexed: 11/24/2022]
Abstract
PURPOSE This study aimed to demonstrate the relationship between poor sleep quality in early pregnancy and the risk of developing gestational diabetes mellitus (GDM). METHODS We conducted a nested case-control study and performed a 1:3 propensity score (PS) matching to match pregnant women with GDM to women without GDM. After PS matching, logistic regressions were carried out to describe the association between sleep quality (assessed by Pittsburgh Sleep Quality Index [PSQI]) and the risk of GDM. We also performed a second analysis to explore the association in groups divided according to maternal age. RESULTS A total of 535 women were enrolled in this study. Of 456 women with complete data, the incidence of GDM was 12.1% (55/456). After PS matching, we found poor sleep quality (PSQI > 5) in early pregnancy was a statistically significant risk factor for GDM (OR 2.03; 95% CI 1.02-4.01; p-value = 0.043). The association of poor sleep quality (PSQI > 5) with GDM was significant among women less than 35 years old (OR 2.72; 95% CI 1.22-6.43; p-value = 0.018) but not among women more than or equal to 35 years old after adjusting for all covariates. CONCLUSION Poor sleep quality in early pregnancy is associated with higher risk of developing GDM, especially for women under 35 years old. Screening expectant mothers with sleep problems in the first trimester is suggested.
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Affiliation(s)
- Xu Zhou
- Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, China
| | - Xiang Hong
- Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, China
| | - Kaiping Huang
- Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, China
| | - Xiaoling Ding
- Maternal and Child Health Center of Gulou District, Nanjing, China
| | - Hong Yu
- Department of Obstetrics and Gynecology, Medical School, Southeast University, Nanjing, China
- Department of Obstetrics and Gynecology, Zhong Da Hospital, Southeast University, Nanjing, China
| | - Jun Zhao
- National Research Institute for Family Planning, Beijing, China
- National Human Genetic Resources Center, Beijing, China
| | - Yan Xuan
- Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, China
| | - Tao Yan
- Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, China
| | - Bei Wang
- Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, China.
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Lyu X, Wang S, Zhong J, Cai L, Zheng Y, Zhou Y, Zhou Y, Chen Q, Li Q. Gut microbiome interacts with pregnancy hormone metabolites in gestational diabetes mellitus. Front Microbiol 2023; 14:1175065. [PMID: 37492251 PMCID: PMC10364628 DOI: 10.3389/fmicb.2023.1175065] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Accepted: 06/09/2023] [Indexed: 07/27/2023] Open
Abstract
Introduction Change in the composition of intestinal microbiota is associated with metabolic disorders such as gestational diabetes mellitus (GDM). Methods To understand how the microbiota impacts the development of gestational diabetes mellitus, we profiled the intestinal microbiome of 54 pregnant women, including 27 GDM subjects, by employing 16S rRNA gene sequencing. Additionally, we conducted targeted metabolomics assays to validate the identified pathways with overrepresented metabolites. Results We evaluated the patterns of changing abundances of operational taxonomic units (OTU) between GDM and the healthy counterparts over three timepoints. Based on the significant OTUs, we inferred 132 significantly altered metabolic pathways in GDM. And identified two overrepresented metabolites of pregnancy hormone, butyrate and mevalonate, as potential intermediary metabolites of intestinal microbiota in GDM. Finally, we validated the impacts of the intestinal microbiota on GDM by demonstrating consistent changes of the serum levels of progesterone, estradiol, butyrate, and mevalonate in an independent cohort. Discussion Our findings confirm that alterations in the microbiota play a role in the development of GDM by impacting the metabolism of pregnancy hormones. This provides a novel perspective on the pathogenesis of GDM and introduces potential biomarkers that can be used for early diagnosis and prevention of the disease.
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Affiliation(s)
- Xuejing Lyu
- Clinical Medical Research Center for Obstetrics and Gynecology Diseases of Fujian Province, Laboratory of Research and Diagnosis of Gynecological Diseases of Xiamen City, Department of Obstetrics and Gynecology, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China
- School of Medicine, National Institute of Data Science in Health and Medicine, Xiamen University, Xiamen, China
| | - Shaona Wang
- The Third Clinical Medical College, Fujian Medical University, Fuzhou, China
- Department of Women’s Health, Xiamen Haicang District Maternity and Child Health Care Hospital, Xiamen, China
| | - Jiaxin Zhong
- School of Medicine, National Institute of Data Science in Health and Medicine, Xiamen University, Xiamen, China
| | - Lingzhu Cai
- Clinical Medical Research Center for Obstetrics and Gynecology Diseases of Fujian Province, Laboratory of Research and Diagnosis of Gynecological Diseases of Xiamen City, Department of Obstetrics and Gynecology, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China
- The Third Clinical Medical College, Fujian Medical University, Fuzhou, China
| | - Yanhui Zheng
- Clinical Medical Research Center for Obstetrics and Gynecology Diseases of Fujian Province, Laboratory of Research and Diagnosis of Gynecological Diseases of Xiamen City, Department of Obstetrics and Gynecology, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China
- The Third Clinical Medical College, Fujian Medical University, Fuzhou, China
| | - Ying Zhou
- Clinical Medical Research Center for Obstetrics and Gynecology Diseases of Fujian Province, Laboratory of Research and Diagnosis of Gynecological Diseases of Xiamen City, Department of Obstetrics and Gynecology, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China
- The Third Clinical Medical College, Fujian Medical University, Fuzhou, China
| | - Ying Zhou
- School of Medicine, National Institute of Data Science in Health and Medicine, Xiamen University, Xiamen, China
| | - Qionghua Chen
- Clinical Medical Research Center for Obstetrics and Gynecology Diseases of Fujian Province, Laboratory of Research and Diagnosis of Gynecological Diseases of Xiamen City, Department of Obstetrics and Gynecology, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China
- The Third Clinical Medical College, Fujian Medical University, Fuzhou, China
| | - Qiyuan Li
- School of Medicine, National Institute of Data Science in Health and Medicine, Xiamen University, Xiamen, China
- Department of Pediatrics, The First Affiliated Hospital of Xiamen University, Xiamen, China
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Wu Q, Chen Y, Ma H, Zhou T, Hu Y, Liang Z, Chen D. The heterogeneous associations between gestational weight gain and adverse pregnancy outcomes in gestational diabetes mellitus according to abnormal glucose metabolism. Nutr Diabetes 2023; 13:10. [PMID: 37402708 DOI: 10.1038/s41387-023-00239-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/26/2020] [Revised: 05/11/2023] [Accepted: 06/21/2023] [Indexed: 07/06/2023] Open
Abstract
OBJECTIVES The gestational weight gain (GWG) and hyperglycemia are two key factors affecting adverse pregnancy outcomes among women with gestational diabetes mellitus (GDM). We aimed to investigate the combinatorial effect of abnormal glucose metabolism and GWG on adverse outcomes in GDM. METHODS This retrospective cohort study included 2611 pregnant women with GDM in Women's Hospital School of Medicine Zhejiang University. Bases on the OGTT glucose levels, we categorized the GDM cohort into three subgroups: impaired fasting glucose (IFG) group, impaired glucose tolerance (IGT) group, and combined impaired glucose (IFG&IGT) group. RESULTS Among pregnant women with IGT, insufficient GWG (IGWG) was an independent protective factor for pregnancy-induced hypertension syndrome (PIH) (aOR 0.55, 95% CI 0.32-0.95), macrosomia (0.38, 0.19-0.74) and large for gestational age (0.45, 0.32-0.62), as well as an independent risk factor for low birth weight infants (2.29, 1.24-4.22) and small for gestational age (1.94, 1.17-3.19); and excessive GWG (EGWG) was related to increased risks of PIH (1.68, 1.12-2.52), preterm delivery (1.82, 1.28-2.58), postpartum hemorrhage (1.85, 1.05-3.28), cesarean delivery (1.84, 1.38-2.46) and low body weight infants (2.36, 1.33-4.20). Moreover, EGWG was positively associated with PIH (3.27, 1.09-9.80) in the IFG group. But there were no significant associations between either IGWG or EGWG and any pregnancy outcomes in women with combined IFG&IGT. CONCLUSIONS The relationships between GWG and adverse outcomes were modified by abnormal glucose metabolism in women with GDM. Our results suggest that more specific GWG recommendations according to their metabolic state are needed for GDM.
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Affiliation(s)
- Qi Wu
- Obstetrical Department, Women's Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Yunyan Chen
- Obstetrical Department, Women's Hospital, School of Medicine, Zhejiang University, Hangzhou, China
- Obstetrical Department, Huzhou Maternity and Child Health Care Hospital, Huzhou, China
| | - Hao Ma
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA
| | - Tao Zhou
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA
| | - Ying Hu
- Obstetrical Department, Women's Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Zhaoxia Liang
- Obstetrical Department, Women's Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA.
| | - Danqing Chen
- Obstetrical Department, Women's Hospital, School of Medicine, Zhejiang University, Hangzhou, China
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Hu R, Liu Z, Geng Y, Huang Y, Li F, Dong H, Ma W, Song K, Zhang M, Song Y. Gut Microbiota and Critical Metabolites: Potential Target in Preventing Gestational Diabetes Mellitus? Microorganisms 2023; 11:1725. [PMID: 37512897 PMCID: PMC10385493 DOI: 10.3390/microorganisms11071725] [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: 05/22/2023] [Revised: 06/24/2023] [Accepted: 06/28/2023] [Indexed: 07/30/2023] Open
Abstract
Gestational diabetes mellitus (GDM) is an intractable issue that negatively impacts the quality of pregnancy. The incidence of GDM is on the rise, becoming a major health burden for both mothers and children. However, the specific etiology and pathophysiology of GDM remain unknown. Recently, the importance of gut microbiota and related metabolic molecules has gained prominence. Studies have indicated that women with GDM have significantly distinct gut microbiota and gut metabolites than healthy pregnant women. Given that the metabolic pathways of gut flora and related metabolites have a substantial impact on inflammation, insulin signaling, glucose, and lipid metabolism, and so on, gut microbiota or its metabolites, such as short-chain fatty acids, may play a significant role in both pathogenesis and progression of GDM. Whereas the role of intestinal flora during pregnancy is still in its infancy, this review aims to summarize the effects and mechanisms of gut microbiota and related metabolic molecules involved in GDM, thus providing potential intervention targets.
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Affiliation(s)
- Runan Hu
- Institute of Integrated Traditional Chinese and Western Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Zhuo Liu
- Institute of Integrated Traditional Chinese and Western Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Yuli Geng
- Institute of Integrated Traditional Chinese and Western Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Yanjing Huang
- Institute of Integrated Traditional Chinese and Western Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Fan Li
- Institute of Integrated Traditional Chinese and Western Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Haoxu Dong
- Department of Integrated Traditional Chinese and Western Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Wenwen Ma
- Department of Integrated Traditional Chinese and Western Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Kunkun Song
- Department of Integrated Traditional Chinese and Western Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Mingmin Zhang
- Department of Integrated Traditional Chinese and Western Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Yufan Song
- Institute of Integrated Traditional Chinese and Western Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
- Department of Integrated Traditional Chinese and Western Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
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Wan Y, Chen Y, Wu X, Yin A, Tian F, Zhang H, Huang X, Wu L, Niu J. Mediation effect of maternal triglyceride and fasting glucose level on the relationship between maternal overweight/ obesity and fetal growth: a prospective cohort study. BMC Pregnancy Childbirth 2023; 23:449. [PMID: 37328759 PMCID: PMC10276493 DOI: 10.1186/s12884-023-05716-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Accepted: 05/17/2023] [Indexed: 06/18/2023] Open
Abstract
BACKGROUND Previous studies have suggested that maternal overweight/obesity is asscociated with macrosomia. The present study aimed to investigate the mediation effects of fasting plasma glucose (FPG) and maternal triglyceride (mTG) in the relationship between maternal overweight/obesity and large for gestational age (LGA) among non-diabetes pregnant women. METHODS This prospective cohort study was conducted in Shenzhen from 2017 to 2021. A total of 19,104 singleton term non-diabetic pregnancies were enrolled form a birth cohort study. FPG and mTG were measured at 24-28 weeks. We analyzed the association of maternal prepregancy overweight/obesity with LGA and mediation effects of FPG and mTG. Multivariable logistic regression analysis and serial multiple mediation analysis were performed. The odds ratio (OR) and 95% confidence intervals (CIs) were calculated. RESULTS Mothers who were overweight or obese had higher odds of giving birth to LGA after adjusting potential confounders (OR:1.88, 95%CI: 1.60-2.21; OR:2.72, 95%CI: 1.93-3.84, respectively). The serial multiple mediation analysis found prepregnancy overweight can not only have a direct positive effect on LGA (effect = 0.043, 95% CI: 0.028-0.058), but also have an indirect effect on the LGA through two paths: the independent mediating role of FPG (effect = 0.004, 95% CI: 0.002-0.005); the independent mediating role of mTG (effect = 0.003,95% CI: 0.002-0.005). The chain mediating role of FPG and mTG has no indirect effect. The estimated proportions mediated by FPG and mTG were 7.8% and 5.9%. Besides, the prepregnancy obesity also has a direct effect on LGA (effect = 0.076; 95%CI: 0.037-0.118) and an indirect effect on LGA through three paths: the independent mediating role of FPG (effect = 0.006; 95%CI: 0.004-0.009); the independent mediating role of mTG (effect = 0.006; 95%CI: 0.003-0.008), and the chain mediating role of FPG and mTG (effect = 0.001; 95%CI: 0.000-0.001). The estimated proportions were 6.7%, 6.7%, and 1.1%, respectively. CONCLUSION This study found that in nondiabetic women, maternal overweight/obesity was associated with the occurence of LGA, and this positive association was partly mediated by FPG and mTG, suggesting that FPG and mTG in overweight/obese nondiabetic mothers deserve the attention of clinicians.
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Affiliation(s)
- Yanmei Wan
- Department of Obstetrics, Shenzhen Maternity & Child Healthcare Hospital, The First School of Clinical Medicine, Southern Medical University, Shenzhen, Guangdong, China
| | - Yixuan Chen
- Department of Obstetrics, Shenzhen Maternity & Child Healthcare Hospital, The First School of Clinical Medicine, Southern Medical University, Shenzhen, Guangdong, China
| | - Xiaoxia Wu
- Department of Obstetrics, Shenzhen Maternity & Child Healthcare Hospital, The First School of Clinical Medicine, Southern Medical University, Shenzhen, Guangdong, China
| | - Aiqi Yin
- Department of Obstetrics, Shenzhen Maternity & Child Healthcare Hospital, The First School of Clinical Medicine, Southern Medical University, Shenzhen, Guangdong, China
| | - Fuying Tian
- Department of Obstetrics, Shenzhen Maternity & Child Healthcare Hospital, The First School of Clinical Medicine, Southern Medical University, Shenzhen, Guangdong, China
| | - Huafan Zhang
- Department of Obstetrics, Shenzhen Maternity & Child Healthcare Hospital, The First School of Clinical Medicine, Southern Medical University, Shenzhen, Guangdong, China
| | - Xuna Huang
- Department of Obstetrics, Shenzhen Maternity & Child Healthcare Hospital, The First School of Clinical Medicine, Southern Medical University, Shenzhen, Guangdong, China
| | - Linlin Wu
- Department of Obstetrics and Gynecology, The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China.
| | - Jianmin Niu
- Department of Obstetrics, Shenzhen Maternity & Child Healthcare Hospital, The First School of Clinical Medicine, Southern Medical University, Shenzhen, Guangdong, China.
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Bianco ME, Vu MH, Bain JR, Muehlbauer MJ, Ilkayeva OR, Scholtens DM, Josefson J, Lowe WL. Maternal and Cord Blood Serum Metabolite Associations with Childhood Adiposity and Body Composition Outcomes. Metabolites 2023; 13:749. [PMID: 37367907 DOI: 10.3390/metabo13060749] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Revised: 06/01/2023] [Accepted: 06/09/2023] [Indexed: 06/28/2023] Open
Abstract
Maternal metabolites influence the size of newborns independently of maternal body mass index (BMI) and glycemia, highlighting the importance of maternal metabolism on offspring outcomes. This study examined associations of maternal metabolites during pregnancy with childhood adiposity, and cord blood metabolites with childhood adiposity using phenotype and metabolomic data from the Hyperglycemia and Adverse Pregnancy Outcome (HAPO) Study and the HAPO Follow-Up Study. The maternal metabolites analyses included 2324 mother-offspring pairs, while the cord blood metabolites analyses included 937 offspring. Multiple logistic and linear regression were used to examine associations between primary predictors, maternal or cord blood metabolites, and childhood adiposity outcomes. Multiple maternal fasting and 1 hr metabolites were significantly associated with childhood adiposity outcomes in Model 1 but were no longer significant after adjusting for maternal BMI and/or maternal glycemia. In the fully adjusted model, fasting lactose levels were negatively associated with child BMI z-scores and waist circumference, while fasting urea levels were positively associated with waist circumference. One-hour methionine was positively associated with fat-free mass. There were no significant associations between cord blood metabolites and childhood adiposity outcomes. Few metabolites were associated with childhood adiposity outcomes after adjusting for maternal BMI and glucose, suggesting that maternal BMI accounts for the association between maternal metabolites and childhood adiposity.
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Affiliation(s)
- Monica E Bianco
- Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, IL 60611, USA
- Department of Pediatrics, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
| | - My H Vu
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
| | - James R Bain
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC 27710, USA
- Department of Medicine, Division of Endocrinology, Metabolism and Nutrition, Duke University School of Medicine, Durham, NC 27710, USA
| | - Michael J Muehlbauer
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC 27710, USA
| | - Olga R Ilkayeva
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC 27710, USA
- Department of Medicine, Division of Endocrinology, Metabolism and Nutrition, Duke University School of Medicine, Durham, NC 27710, USA
| | - Denise M Scholtens
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
| | - Jami Josefson
- Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, IL 60611, USA
- Department of Pediatrics, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
| | - William L Lowe
- Department of Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
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Zhang K, Zheng W, Yuan X, Wang J, Yang R, Ma Y, Han W, Huang J, Ma K, Zhang P, Xu L, Zhang L, Yan X, Chen T, Zhang Y, Li G. Association between serum lipid profile during the first and second trimester of pregnancy as well as their dynamic changes and gestational diabetes mellitus in twin pregnancies: a retrospective cohort study. Diabetol Metab Syndr 2023; 15:125. [PMID: 37308962 DOI: 10.1186/s13098-023-01095-w] [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: 02/12/2023] [Accepted: 05/23/2023] [Indexed: 06/14/2023] Open
Abstract
BACKGROUND Abnormal lipid metabolism is associated with gestational diabetes mellitus (GDM) in singleton pregnancies. Data were lacking on twin pregnancies with GDM. We explored the association between serum lipid profiles in the first and second trimesters as well as their dynamic changes and GDM in twin pregnancies. METHODS This was a retrospective cohort study of 2739 twin pregnancies that underwent a 75-g oral glucose tolerance test (OGTT) and were selected from the Beijing Birth Cohort Study from June 2013 to May 2021. Cholesterol (CHO), triglyceride (TG), high-density lipoprotein (HDL) and low-density lipoprotein (LDL) levels were measured at mean 9 and 25 weeks of gestation. We described maternal lipid levels in different tertiles that were associated with the risk of GDM stratified for age, pre-BMI, and fertilization type. GDM patients were divided into two groups according to OGTT: elevated fasting plasma glucose only (FPG group) and the rest of the GDM (non-FPG group). We estimated the relative risk of GDM with multivariable logistic regression models. RESULTS In this study, we found that 599 (21.9%, 599/2739) twin pregnancies developed GDM. They had increased CHO, TG, LDL, and LDL/HDL, decreased HDL levels in the first trimester, and increased TG as well as decreased HDL in the second trimester in univariate analyses, each P < 0.05. In multivariate analysis, when TG > 1.67 mmol/l (upper tertile) in elderly individuals, nonoverweight and ART groups increased the risk of GDM by 2.7-fold, 2.3-fold and 2.2-fold, respectively, compared with TG < 0.96 mmol/l (lower tertile). This effect remained in the abovementioned groups in the second trimester. Moreover, high TGs increased the risk of GDM in the FPG group (OR = 2.076, 95% CI 1.130-3.815) and non-FPG group (OR = 2.526, 95% CI 1.739-3.67) in the first trimester when TG > 1.67 mmol/l, and the rising risk in the non-FPG group as the TG tertile increased remained in the second trimester. HDL predominantly showed a negative association with elevated FPG in the second trimester (p < 0.05). CONCLUSIONS Twin pregnancies with GDM have higher lipid levels. Increased TGs in the first and second trimesters are strongly associated with GDM, especially in elderly individuals, nonoverweight and ART groups. Lipid profiles varied among different GDM subtypes.
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Affiliation(s)
- 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
| | - 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
| | - 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
| | - 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
| | - 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
| | - 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
| | - Weiling Han
- 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
| | - Junhua Huang
- 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
| | - 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
| | - Puyang 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
| | - Lili Xu
- 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
| | - Lirui 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
| | - Xin Yan
- 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
| | - Tengda Chen
- 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
| | - Yujie 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
| | - 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.
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Aguree S, Zhang X, Reddy MB. Combined Effect of Maternal Obesity and Diabetes on Excessive Fetal Growth: Pregnancy Risk Assessment Monitoring System (PRAMS), United States, 2012-2015. AJPM FOCUS 2023; 2:100071. [PMID: 37790647 PMCID: PMC10546511 DOI: 10.1016/j.focus.2023.100071] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 10/05/2023]
Abstract
Introduction Obesity and dysregulation in glucose metabolism are risk factors for excessive fetal growth, but their combined effects are not often examined in a single study. Methods Data from the Centers for Disease Control and Prevention's Pregnancy Risk Assessment Monitoring System Phase 7 (2012-2015) were used. Logistic regression was used to investigate the association between maternal prepregnancy BMI and pre-existing diabetes/gestational diabetes on the odds of delivering a large-for-gestational-age infant or an infant with macrosomia. Results Complete data for 128,199 singleton births were used. The proportions of large-for-gestational-age infants and infants with macrosomia increased with the degree of obesity (p<0.001) and were higher in women with diabetes than in those without (p<0.001). Compared with the AOR among normal-weight women, the AOR of delivering large-for-gestational-age infants and infants with macrosomia among women with morbid obesity (BMI≥40) were 2.82 (p<0.001) and 2.67 (p<0.001), respectively. Compared with the AOR among nondiabetic women, the AOR of delivering a large-for-gestational-age infant was 1.88 (p<0.001) among those with pre-existing diabetes and 1.49 (p<0.001) among those with gestational diabetes. Except for the underweight group, women with pre-existing diabetes were nearly twice as likely to deliver a large-for-gestational-age infant as those with similar BMI without diabetes. Women with morbid obesity and gestational diabetes were twice as likely to have a large-for-gestational-age infant and an infant with macrosomia as nondiabetic women with normal BMI. Conclusions We have shown that when maternal obesity and diabetes, particularly pre-existing diabetes, occur together, the risk of delivering large-for-gestational-age and macrosomia increases significantly. Our findings call for public health attention to address maternal obesity and diabetes to minimize suboptimal fetal growth.
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Affiliation(s)
- Sixtus Aguree
- Department of Food Science and Human Nutrition, Iowa State University, Ames, Iowa
- Department of Applied Health Science, Indiana University School of Public Health, Bloomington, Indiana
| | - Xiaofei Zhang
- Department of Statistics, Iowa State University, Ames, Iowa
| | - Manju B. Reddy
- Department of Food Science and Human Nutrition, Iowa State University, Ames, Iowa
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de Carvalho LS, de Oliveira AAD, Grabovski TCM, Renzo CC, Ribeiro E Silva R, Loz SH, Silva JC. Maternal prepregnancy obesity and gestational diabetes influence on adverse perinatal outcomes. ARCHIVES OF ENDOCRINOLOGY AND METABOLISM 2023; 67:e000605. [PMID: 37252694 PMCID: PMC10665062 DOI: 10.20945/2359-3997000000605] [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: 04/24/2022] [Accepted: 10/08/2022] [Indexed: 05/31/2023]
Abstract
Objective Evaluate the influence of isolated and associated prepregnancy obesity and gestational diabetes mellitus (GDM) on adverse perinatal outcomes. Materials and methods Cross-sectional observational study with women who delivered at a Brazilian Maternity Hospital, between August and December 2020. Data were collected by interview with application form, and medical records. Sample was stratified by body mass index (BMI) and GDM screening in four groups: no obesity (BMI < 30 kg/m2) no GDM - reference; isolated GDM; isolated obesity (BMI ≥ 30 kg/m2); and obesity with GDM. Preeclampsia (PE), cesarean section (CS), large-for-gestational-age (LGA) newborn and admission to neonatal intensive care unit (NICU) were analyzed by odds ratio (OR) adjusted for confounding factors, adopting 95% confidence interval (CI) and P < 0.05 statistically significant. Results From 1,618 participants, isolated obesity group (233/14.40%) had high chance of PE (OR = 2.16; CI: 1.364-3.426; P = 0.001), isolated GDM group (190/11.74%) had high chance of CS (OR = 1.736; CI: 1.136-2.652; P = 0.011) and NICU admission (OR = 2.32; CI: 1.265-4.261; P = 0.007), and obesity with GDM group (121/7.48%) had high chance of PE (OR = 1.93; CI: 1.074-3.484; P = 0.028), CS (OR = 1.925; CI: 1.124-3.298; P = 0.017) and LGA newborn (OR = 1.81; CI: 1.027-3.204; P = 0.040), compared with reference (1,074/66.38%). Conclusion Obesity and GDM enhances the chance of different negative outcomes, worsening this prognosis when associated.
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Affiliation(s)
- Leonardo Souza de Carvalho
- Programa de Mestrado em Saúde e Meio Ambiente, Universidade da Região de Joinville (Univille), Joinville, SC, Brasil,
| | | | | | - Carla Christina Renzo
- Programa de Mestrado em Saúde e Meio Ambiente, Universidade da Região de Joinville (Univille), Joinville, SC, Brasil
| | - Rodrigo Ribeiro E Silva
- Faculdade de Medicina, Universidade da Região de Joinville (Univille), Joinville, SC, Brasil
| | - Sabrina Hafemann Loz
- Faculdade de Medicina, Universidade da Região de Joinville (Univille), Joinville, SC, Brasil
| | - Jean Carl Silva
- Programa de Mestrado em Saúde e Meio Ambiente, Universidade da Região de Joinville (Univille), Joinville, SC, Brasil
- Faculdade de Medicina, Universidade da Região de Joinville (Univille), Joinville, SC, Brasil
- Maternidade Darcy Vargas, Joinville, SC, Brasil
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Li J, Yan J, Ma L, Huang Y, Zhu M, Jiang W. Effect of gestational diabetes mellitus on pregnancy outcomes among younger and older women and its additive interaction with advanced maternal age. Front Endocrinol (Lausanne) 2023; 14:1158969. [PMID: 37234802 PMCID: PMC10206299 DOI: 10.3389/fendo.2023.1158969] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/04/2023] [Accepted: 04/28/2023] [Indexed: 05/28/2023] Open
Abstract
Background The prevalence of gestational diabetes mellitus (GDM) and advanced maternal age (AMA, ≥ 35 years) has shown an increasing trend worldwide. This study aimed to evaluate the risk of pregnancy outcomes among younger (20-34 years) and older (≥ 35 years) women with GDM and further analyze the epidemiologic interaction of GDM and AMA on these outcomes. Methods This historical cohort study included 105 683 singleton pregnant women aged 20 years or older between January 2012 and December 2015 in China. Stratified by maternal age, the associations between GDM and pregnancy outcomes were analyzed by performing logistic regression. Epidemiologic interactions were assessed by using relative excess risk due to interaction (RERI), attributable proportion due to interaction (AP), and synergy index (SI) with their 95% confidence intervals (95%CIs). Results Among younger women, individuals with GDM had a higher risk of all maternal outcomes, preterm birth (relative risk [RR] 1.67, 95%CI 1.50-1.85), low birthweight (RR 1.24, 95%CI 1.09-1.41), large for gestational age (RR 1.51, 95%CI 1.40-1.63), macrosomia (RR 1.54, 95%CI 1.31-1.79), and fetal distress (RR 1.56, 95%CI 1.37-1.77) than those without GDM. Among older women, GDM increased the risk of gestational hypertension (RR 2.17, 95%CI 1.65-2.83), preeclampsia (RR 2.30, 95%CI 1.81-2.93), polyhydramnios (RR 3.46, 95%CI 2.01-5.96), cesarean delivery (RR 1.18, 95%CI 1.10-1.25), preterm birth (RR 1.35, 95%CI 1.14-1.60), large for gestational age (RR 1.40, 95%CI 1.23-1.60), macrosomia (RR 1.65, 95%CI 1.28-2.14) and fetal distress (RR 1.46, 95%CI 1.12-1.90). Additive interactions of GDM and AMA on polyhydramnios and preeclampsia were found, with RERI of 3.11 (95%CI 0.05-6.16) and 1.43 (95%CI 0.09-2.77), AP of 0.51 (95%CI 0.22-0.80) and 0.27 (95%CI 0.07-0.46), and SI of 2.59 (95%CI 1.17-5.77) and 1.49 (95%CI 1.07-2.07), respectively. Conclusion GDM is an independent risk factor for multiple adverse pregnancy outcomes, and may exert additive interactions with AMA on the risk of polyhydramnios and preeclampsia.
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Affiliation(s)
| | | | | | | | | | - Wu Jiang
- *Correspondence: Wu Jiang, ; Maoling Zhu,
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Shi P, Tang J, Yin X. Association between second- and third-trimester maternal lipid profiles and adverse perinatal outcomes among women with GDM and non-GDM: a retrospective cohort study. BMC Pregnancy Childbirth 2023; 23:318. [PMID: 37147564 PMCID: PMC10161404 DOI: 10.1186/s12884-023-05630-5] [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: 09/20/2022] [Accepted: 04/20/2023] [Indexed: 05/07/2023] Open
Abstract
BACKGROUND Lipid metabolism disorder during pregnancy has been reported in women with gestational diabetes mellitus (GDM). However, controversy remains regarding the relationship between maternal changes in lipid profiles and perinatal outcomes. This study investigated the association between maternal lipid levels and adverse perinatal outcomes in women with GDM and non-GDM. METHODS In total, 1632 pregnant women with GDM and 9067 women with non-GDM who delivered between 2011-2021 were enrolled in this study. Serum samples were assayed for fasting total cholesterol (TC), triglyceride (TG), low-density lipoprotein (LDL), and high-density lipoprotein (HDL) levels during the second and third trimesters of pregnancy. Adjusted odds ratios (AOR) and 95% confidence intervals (95% CI) were calculated via multivariable logistic regression analysis to determine the association of lipid levels with perinatal outcomes. RESULTS The serum TC, TG, LDL, and HDL levels in the third trimester were significantly higher than those in the second trimester (p < 0.001). Women with GDM had significantly higher levels of TC and TG in the second and third trimesters than those with non-GDM in the same trimesters, while HDL levels decreased in women with GDM (all p < 0.001). After adjusting for confounding factors by multivariate logistic regression, every mmol/L elevation in TG levels of women with GDM in second and third trimesters was associated with a higher risk of caesarean section (AOR = 1.241, 95% CI: 1.103-1.396, p < 0.001; AOR = 1.716, 95% CI: 1.556-1.921, p < 0.001), large for gestational age infants (LGA) (AOR = 1.419, 95% CI: 1.173-2.453, p = 0.001; AOR = 2.011, 95% CI: 1.673-2.735, p < 0.001), macrosomia (AOR = 1.220, 95% CI: 1.133-1.643, p = 0.005; AOR = 1.891, 95% CI: 1.322-2.519, p < 0.001), and neonatal unit admission (NUD; AOR = 1.781, 95% CI: 1.267-2.143, p < 0.001; AOR = 2.052, 95% CI: 1.811-2.432, p < 0.001) cesarean delivery (AOR = 1.423, 95% CI: 1.215-1.679, p < 0.001; AOR = 1.834, 95% CI: 1.453-2.019, p < 0.001), LGA (AOR = 1.593, 95% CI: 1.235-2.518, p = 0.004; AOR = 2.326, 95% CI: 1.728-2.914, p < 0.001), macrosomia (AOR = 1.346, 95% CI: 1.209-1.735, p = 0.006; AOR = 2.032, 95% CI: 1.503-2.627, p < 0.001), and neonatal unit admission (NUD) (AOR = 1.936, 95% CI: 1.453-2.546, p < 0.001; AOR = 1.993, 95% CI: 1.724-2.517, p < 0.001), which were higher than the relative risk of these perinatal outcomes in women with non-GDM. Additionally, every mmol/L increase in second and third-trimester HDL levels of women with GDM was associated with decreased risk of LGA(AOR = 0.421, 95% CI: 0.353-0.712, p = 0.007; AOR = 0.525, 95% CI: 0.319-0.832, p = 0.017) and NUD (AOR = 0.532, 95% CI: 0.327-0.773, p = 0.011; AOR = 0.319, 95% CI: 0.193-0.508, p < 0.001), and the risk reduction was not strong than that of women with GDM. CONCLUSIONS Among women with GDM, high maternal TG in the second and third trimesters was independently associated with an increased risk of cesarean section, LGA, macrosomia, and NUD. High maternal HDL during the second and third trimesters was significantly associated with decreased risk of LGA and NUD. These associations were stronger than those in women with non-GDM, suggesting the importance of monitoring second and third-trimester lipid profiles in improving clinical outcomes, especially in GDM pregnancies.
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Affiliation(s)
- Ping Shi
- Wujin Hospital Affiliated With Jiangsu University, Changzhou, Jiangsu, China
- The Wujin Clinical College of Xuzhou Medical University, No 2 Yongning North Road, Tianning District, Changzhou, Jiangsu, China
| | - Jie Tang
- Wujin Hospital Affiliated With Jiangsu University, Changzhou, Jiangsu, China
- The Wujin Clinical College of Xuzhou Medical University, No 2 Yongning North Road, Tianning District, Changzhou, Jiangsu, China
| | - Xiaoyan Yin
- Wujin Hospital Affiliated With Jiangsu University, Changzhou, Jiangsu, China.
- The Wujin Clinical College of Xuzhou Medical University, No 2 Yongning North Road, Tianning District, Changzhou, Jiangsu, China.
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Bastobbe S, Heimann Y, Schleußner E, Groten T, Weschenfelder F. Using flash glucose monitoring in pregnancies in routine care of patients with gestational diabetes mellitus: a pilot study. Acta Diabetol 2023; 60:697-704. [PMID: 36840782 PMCID: PMC10063475 DOI: 10.1007/s00592-023-02042-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Accepted: 01/24/2023] [Indexed: 02/26/2023]
Abstract
AIM Flash glucose monitoring (FGM) has been approved for the care of pregnant women with preexisting diabetes since 2017. However, its use in gestational diabetes (GDM) has been critically discussed. Inaccuracy and missing recommendations for target values are the main arguments against the use of FGM in GDM. To date, there is a lack of data to justify routine use of FGM in GDM pregnancies. Consequently, this new technology has been withheld from GDM-patients. Aim of our pilot study was to analyze the impact of FGM use on pregnancy outcomes, patient's satisfaction and to confirm the safe use in GDM pregnancies. METHODS Cohort study of 37 FGM-managed GDM pregnancies compared with 74 matched women using self-monitoring of blood glucose (SMBG). Group comparison using nonparametric testing concerning patients characteristic and perinatal outcome focusing on adverse outcomes (preeclampsia, preterm delivery, large for gestational age, C-sections, neonatal intensive care unit admission, hyperbilirubinemia and hypoglycemia). Evaluation of patient's treatment satisfaction using the "Diabetes Treatment Satisfaction Questionnaire change" (DTSQc) and patient interviews. RESULTS No significant differences in patient's characteristics despite gestational age at diagnosis (FGM with 20 vs. SMBG with 25 weeks). No difference in gestational weight gain, HbA1c progression and perinatal outcome. Treatment satisfaction obtained by the DTSQc revealed a high level of satisfaction with FGM use. CONCLUSION FGM use was well accepted and did not affect perinatal outcome. Use of FGM during pregnancy is safe and non-inferior to the management with SBGM. FGM should be considered as an option in the management of GDM patients.
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Affiliation(s)
- Sophie Bastobbe
- Department of Obstetrics, University Hospital Jena, Am Klinikum 1, 07747, Jena, Germany
| | - Yvonne Heimann
- Department of Obstetrics, University Hospital Jena, Am Klinikum 1, 07747, Jena, Germany
| | - Ekkehard Schleußner
- Department of Obstetrics, University Hospital Jena, Am Klinikum 1, 07747, Jena, Germany
| | - Tanja Groten
- Department of Obstetrics, University Hospital Jena, Am Klinikum 1, 07747, Jena, Germany.
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Xie X, Liu J, García-Patterson A, Chico A, Mateu-Salat M, Amigó J, Adelantado JM, Corcoy R. Gestational weight gain and pregnancy outcomes in women with type 1 and type 2 diabetes mellitus. Acta Diabetol 2023; 60:621-629. [PMID: 36707439 DOI: 10.1007/s00592-023-02031-0] [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: 11/06/2022] [Accepted: 01/04/2023] [Indexed: 01/29/2023]
Abstract
AIMS We aimed to explore the relationship between gestational weight gain (GWG) after Institute of Medicine (IOM) and pregnancy outcomes in women with type 1 and type 2 diabetes. METHODS Retrospective cohort study at a tertiary medical center (1981-2011). OUTCOME VARIABLES 2 maternal and 14 fetal. Main exposure variable: GWG according to IOM. We calculated crude and adjusted ORs as well as population attributable (PAF) and preventable fractions (PPF) for significant positive and negative associations, respectively. RESULTS We evaluated 633 pregnant women with type 1 or type 2 diabetes. GWG was insufficient (iGWG) in 16.7% and excessive (eGWG) in 50.7%. In the adjusted analysis, GWG according to IOM was significantly associated with maternal outcomes (pregnancy-induced hypertension and cesarean delivery) and four fetal outcomes (large-for-gestational age, macrosomia, small-for-gestational age and neonatal respiratory distress). The association with large-for-gestational age newborns was negative for iGWG (0.48, CI 95% 0.25-0.94) and positive for eGWG (1.76, CI 95% 1.18-2.63). In addition, iGWG was associated with a higher risk of small-for-gestational age newborns and respiratory distress and eGWG with a higher risk of pregnancy-induced hypertension, caesarean delivery and macrosomia. PAF and PPF ranged from the 20.4% PPF of iGWG for large-for-gestational age to 56.5% PAF of eGWG for macrosomia. CONCLUSION In this cohort of women with type 1 or type 2 diabetes, inadequate GWG after IOM was associated with adverse pregnancy outcomes; associations were unfavorable for eGWG and mixed for iGWG. The attributable fractions were not moderate, pointing to the potential impact of modifying inadequate GWG.
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Affiliation(s)
- Xinglei Xie
- Departament de Medicina, Universitat Autònoma de Barcelona, Bellaterra, Barcelona, Spain
| | - Jiaming Liu
- Departament de Medicina, Universitat Autònoma de Barcelona, Bellaterra, Barcelona, Spain
| | - Apolonia García-Patterson
- Institut d'Investigació Biomèdica Sant Pau (IIB Sant Pau), Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
| | - Ana Chico
- Departament de Medicina, Universitat Autònoma de Barcelona, Bellaterra, Barcelona, Spain
- Institut d'Investigació Biomèdica Sant Pau (IIB Sant Pau), Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
- Servei d'Endocrinologia i Nutrició, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
- CIBER-BBN, Madrid, Spain
| | - Manel Mateu-Salat
- Servei d'Endocrinologia i Nutrició, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
| | - Judit Amigó
- Servei d'Endocrinologia i Nutrició, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
| | - Juan María Adelantado
- Servei d'Obstetricia i Ginecologia, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
| | - Rosa Corcoy
- Departament de Medicina, Universitat Autònoma de Barcelona, Bellaterra, Barcelona, Spain.
- Institut d'Investigació Biomèdica Sant Pau (IIB Sant Pau), Hospital de la Santa Creu i Sant Pau, Barcelona, Spain.
- Servei d'Endocrinologia i Nutrició, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain.
- CIBER-BBN, Madrid, Spain.
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Bai W, Wang H, Fang R, Lin M, Qin Y, Han H, Cui J, Zhang R, Ma Y, Chen D, Zhang W, Wang L, Yu H. Evaluating the effect of gestational diabetes mellitus on macrosomia based on the characteristics of oral glucose tolerance test. Clin Chim Acta 2023; 544:117362. [PMID: 37088117 DOI: 10.1016/j.cca.2023.117362] [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: 11/20/2022] [Revised: 03/31/2023] [Accepted: 04/18/2023] [Indexed: 04/25/2023]
Abstract
BACKGROUND GDM is always treated as a homogenous disease ignoring the different metabolic characteristics in oral glucose tolerance test (OGTT). We assessed the effect of GDM on macrosomia based on the different characteristics of OGTT. METHODS We retrospectively divided 998 GDM pregnant women into 7 groups, Group A1: abnormal OGTT0h; Group A2: abnormal OGTT1 h; Group A3: abnormal OGTT2 h; Group B1: abnormal OGTT0h+1 h; Group B2: abnormal OGTT0h+2 h; Group B3: abnormal OGTT1 h+2 h; Group C: abnormal OGTT0h+1 h+2 h; RESULTS: The incidence of macrosomia in group C (21.92%) was higher than other groups. The OR of OGTT0h+1 h+2 h was significant (OGTT1 h: OR=1.577, 95% CI: 0.791, 3.145; OGTT2 h: OR=1.151, 95% CI: 0.572, 2.313; OGTT0h+1 h: OR=1.346, 95% CI: 0.584, 3.101; OGTT0h+2 h: OR=1.327, 95% CI: 0.517, 3.409; OGTT1 h+2 h: OR=0.771, 95% CI: 0.256, 2.322; OGTT0h+1 h+2 h: OR=4.164, 95% CI: 2.095, 8.278) when comparing with OGTT0h. Subgroup analysis showed abnormal OGTT0h+1 h+2 h might contribute more to macrosomia in pre-pregnancy BMI ≥ 24 kg/m2 than those with BMI < 24 kg/m2. CONCLUSION The effect of abnormal OGTT0h+1 h+2 h on macrosomia was significantly greater than other OGTT characteristics, especially for those with pre-pregnancy BMI ≥ 24 kg/m2. Individualized management of GDM based on OGTT characteristics and pre-pregnancy BMI might be needed.
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Affiliation(s)
- Wenlin Bai
- School of Public Health, Shanxi Medical University, Taiyuan, 030001, China
| | - Hui Wang
- Obstetrics Clinic, Changzhi Maternal and Child Health Care Hospital, Changzhi, 046000, China
| | - Ruiling Fang
- School of Public Health, Shanxi Medical University, Taiyuan, 030001, China
| | - Mengwen Lin
- School of Public Health, Shanxi Medical University, Taiyuan, 030001, China
| | - Yao Qin
- School of Public Health, Shanxi Medical University, Taiyuan, 030001, China
| | - Hongjuan Han
- School of Public Health, Shanxi Medical University, Taiyuan, 030001, China
| | - Jing Cui
- School of Public Health, Shanxi Medical University, Taiyuan, 030001, China
| | - Rong Zhang
- School of Public Health, Shanxi Medical University, Taiyuan, 030001, China
| | - Yifei Ma
- School of Public Health, Shanxi Medical University, Taiyuan, 030001, China
| | - Durong Chen
- School of Public Health, Shanxi Medical University, Taiyuan, 030001, China
| | - Wenping Zhang
- School of Public Health, Shanxi Medical University, Taiyuan, 030001, China
| | - Li Wang
- School of Public Health, Shanxi Medical University, Taiyuan, 030001, China
| | - Hongmei Yu
- School of Public Health, Shanxi Medical University, Taiyuan, 030001, China.
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