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Bai X, Zhu Q, Wang W, Kan S, Hu S, Hao R, Wang S, Shi Z. Second-trimester triglyceride-glucose index to predict adverse outcomes in women with gestational diabetes mellitus: A retrospective multicenter cohort study. J Diabetes Investig 2024. [PMID: 39007538 DOI: 10.1111/jdi.14269] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/01/2024] [Revised: 06/28/2024] [Accepted: 07/03/2024] [Indexed: 07/16/2024] Open
Abstract
AIMS/INTRODUCTION Women with gestational diabetes mellitus are at high risk for adverse maternal and neonatal outcomes. The study aimed to evaluate the performance of the triglyceride-glucose index in predicting the risk of developing adverse outcomes in women with gestational diabetes mellitus. MATERIALS AND METHODS This retrospective multicenter cohort study included 8,808 pregnant women with gestational diabetes mellitus in two grade-A tertiary hospitals in China during 2018-2022. The triglyceride-glucose index was defined as ln [triglyceride (mg/dL) × fasting blood glucose (mg/dL)/2]. Significant adverse gestational diabetes mellitus outcomes were chosen by generalized linear models as the main outcomes. Multivariable logistic regression models evaluated their association with the triglyceride-glucose index. Areas under the receiver operating characteristic curves predicted adverse pregnancy outcomes. The prediction efficiency was validated in the sensitivity analysis dataset and validation cohort. RESULTS The triglyceride-glucose index was associated with preeclampsia, severe preeclampsia, preterm birth, placenta accreta spectrum, and macrosomia before and after adjusting for confounding factors (P < 0.05). The predictive performance of the triglyceride-glucose index was relatively moderate. Incorporating the triglyceride-glucose index into the baseline clinical risk model improved the area under curves for the diagnosis of preeclampsia (0.749 [0.714-0.784] vs 0.766 [0.734-0.798], P = 0.033) and macrosomia (0.664 [0.644-0.685] vs 0.676 [0.656-0.697], P = 0.002). These predictive models exhibited good calibration and robustness. CONCLUSIONS The triglyceride-glucose index is positively associated with preeclampsia, severe preeclampsia, preterm birth, placenta accreta spectrum, and macrosomia and is useful for the early prediction and prevention of adverse outcomes in women with gestational diabetes mellitus.
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Affiliation(s)
- Xueqi Bai
- Changzhou Maternal and Child Health Care Hospital, Changzhou Medical Center, Nanjing Medical University, Changzhou, China
| | - Qingyi Zhu
- Nanjing Women and Children's Healthcare Hospital, Women's Hospital of Nanjing Medical University, Nanjing, China
| | - Wenli Wang
- Changzhou Maternal and Child Health Care Hospital, Changzhou Medical Center, Nanjing Medical University, Changzhou, China
| | - Sutong Kan
- Changzhou Maternal and Child Health Care Hospital, Changzhou Medical Center, Nanjing Medical University, Changzhou, China
| | - Shiman Hu
- Changzhou Maternal and Child Health Care Hospital, Changzhou Medical Center, Nanjing Medical University, Changzhou, China
| | - Runrun Hao
- Changzhou Maternal and Child Health Care Hospital, Changzhou Medical Center, Nanjing Medical University, Changzhou, China
| | - Shanshan Wang
- Changzhou Maternal and Child Health Care Hospital, Changzhou Medical Center, Nanjing Medical University, Changzhou, China
| | - Zhonghua Shi
- Changzhou Maternal and Child Health Care Hospital, Changzhou Medical Center, Nanjing Medical University, Changzhou, China
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Ji Z, Zhang C, Yuan J, He Q, Zhang X, Yang D, Xu N, Chu J. Is there a causal association between gestational diabetes mellitus and immune mediators? A bidirectional Mendelian randomization analysis. Front Endocrinol (Lausanne) 2024; 15:1358144. [PMID: 38706698 PMCID: PMC11066251 DOI: 10.3389/fendo.2024.1358144] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/19/2023] [Accepted: 03/19/2024] [Indexed: 05/07/2024] Open
Abstract
Background Diabetes that only appears or is diagnosed during pregnancy is referred to as gestational diabetes mellitus (GDM). The maternal physiological immune profile is essential for a positive pregnancy outcome. However, the causal relationship between GDM and immunophenotypes is not fully defined. Methods Based on the high-density genetic variation data at the genome-wide level, we evaluated the logical associations between 731 specific immune mediators and GDM using bidirectional Mendelian randomization (MR). The inverse variance weighted (IVW) was the main method employed for MR analysis. We performed multiple methods to verify the robustness and dependability of the MR results, and sensitivity measures were applied to rule out potential heterogeneity and horizontal pleiotropy. Results A substantial causal association between several immune mediators and GDM was detected. After FDR testing, HLA DR++ monocyte %leukocyte and HLA DR on plasmacytoid DC were shown to increase the risk of GDM; in contrast, CD127 on CD28+ CD45RA+ CD8br and CD19 on PB/PC were shown to attenuate the effect of GDM. Moreover, the progression of GDM has been shown to decrease the maternal levels of CD39+ activated Treg AC, CD39+ activated Treg %CD4 Treg, CD39+ resting Treg AC, CD39+ resting Treg %CD4 Treg, and CD39+ CD8BR %T cell. Conclusions Our findings support a possible causal association between GDM and various immunophenotypes, thus facilitating the provision of multiple options for preventive recognition as well as for the diagnostic and therapeutic management of GDM in clinical practice.
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Affiliation(s)
- Zhangxin Ji
- Key Laboratory of Xin’an Medicine, Ministry of Education, Anhui University of Chinese Medicine, Hefei, Anhui, China
- School of Graduate, Anhui University of Chinese Medicine, Hefei, Anhui, China
| | - Chenxu Zhang
- Key Laboratory of Xin’an Medicine, Ministry of Education, Anhui University of Chinese Medicine, Hefei, Anhui, China
- School of Graduate, Anhui University of Chinese Medicine, Hefei, Anhui, China
| | - Jingjing Yuan
- Key Laboratory of Xin’an Medicine, Ministry of Education, Anhui University of Chinese Medicine, Hefei, Anhui, China
- Research and Technology Center, Anhui University of Chinese Medicine, Hefei, Anhui, China
| | - Qing He
- Key Laboratory of Xin’an Medicine, Ministry of Education, Anhui University of Chinese Medicine, Hefei, Anhui, China
- School of Graduate, Anhui University of Chinese Medicine, Hefei, Anhui, China
| | - Xinyu Zhang
- Key Laboratory of Xin’an Medicine, Ministry of Education, Anhui University of Chinese Medicine, Hefei, Anhui, China
- School of Graduate, Anhui University of Chinese Medicine, Hefei, Anhui, China
| | - Dongmei Yang
- Key Laboratory of Xin’an Medicine, Ministry of Education, Anhui University of Chinese Medicine, Hefei, Anhui, China
- School of Graduate, Anhui University of Chinese Medicine, Hefei, Anhui, China
| | - Na Xu
- State Key Laboratory of Tea Plant Biology and Utilization, School of Tea and Food Science and International Joint Laboratory on Tea Chemistry and Health Effects of Ministry of Education, Anhui Agricultural University, Hefei, Anhui, China
| | - Jun Chu
- Key Laboratory of Xin’an Medicine, Ministry of Education, Anhui University of Chinese Medicine, Hefei, Anhui, China
- Research and Technology Center, Anhui University of Chinese Medicine, Hefei, Anhui, China
- Institute of Surgery, Anhui Academy of Chinese Medicine, Anhui University of Chinese Medicine, Hefei, Anhui, China
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Mehmood S, Ye C, Hanley AJ, Connelly PW, Sermer M, Zinman B, Retnakaran R. Impact of the diagnosis of gestational diabetes on maternal physical activity after pregnancy. Diabetes Obes Metab 2024; 26:1207-1215. [PMID: 38116699 DOI: 10.1111/dom.15415] [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: 11/09/2023] [Revised: 12/02/2023] [Accepted: 12/04/2023] [Indexed: 12/21/2023]
Abstract
AIM The diagnosis of gestational diabetes (GDM) identifies women who are at future risk of developing type 2 diabetes. However, it is unclear if diagnosing GDM thus motivates women to increase physical activity after pregnancy or if this medicalization has the opposite effect of decreasing activity, possibly reflecting assumption of a sick role. We thus sought to evaluate the impact of diagnosing GDM on changes in maternal physical activity after pregnancy. METHODS In this prospective cohort study, physical activity patterns were assessed by the Baecke questionnaire for the year before pregnancy and the first year postpartum in 405 white women comprising the following three gestational glucose tolerance groups: (a) those who did not have GDM (non-GDM; n = 247), (b) women with undiagnosed GDM (n = 46) and (c) those diagnosed with GDM (n = 112). RESULTS In the year before pregnancy, mean adjusted total physical activity progressively decreased from non-GDM to undiagnosed GDM to diagnosed GDM (p = .067). Conversely, at 1 year postpartum, total physical activity was highest in those who had been diagnosed with GDM (p = .02). Compared with non-GDM, diagnosed GDM predicted an increase in total physical activity from pre-pregnancy to 1 year postpartum (t = 2.3, p = .02) whereas undiagnosed GDM predicted a concurrent decrease in leisure-time activity (t = -2.74, p = .006). Accordingly, the mean adjusted increase in body mass index from pre-pregnancy to 1 year postpartum was lowest in those with diagnosed GDM (0.26 ± 0.25 kg/m2 ), highest in undiagnosed GDM (1.23 ± 0.38 kg/m2 ) and intermediate in non-GDM (0.89 ± 0.22 kg/m2 ) (overall p = .04). CONCLUSION Diagnosis of GDM leads to increased physical activity after pregnancy that may partially attenuate postpartum weight retention.
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Affiliation(s)
- Sadia Mehmood
- Leadership Sinai Centre for Diabetes, Mount Sinai Hospital, Toronto, Canada
| | - Chang Ye
- Leadership Sinai Centre for Diabetes, Mount Sinai Hospital, Toronto, Canada
| | - Anthony J Hanley
- Leadership Sinai Centre for Diabetes, Mount Sinai Hospital, Toronto, Canada
- Division of Endocrinology, University of Toronto, Toronto, Canada
- Department of Nutritional Sciences, University of Toronto, Toronto, Canada
| | - Philip W Connelly
- Division of Endocrinology, University of Toronto, Toronto, Canada
- Keenan Research Centre for Biomedical Science of St. Michael's Hospital, Toronto, Canada
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Canada
| | - Mathew Sermer
- Department of Obstetrics and Gynecology, Mount Sinai Hospital, Toronto, Canada
| | - Bernard Zinman
- Leadership Sinai Centre for Diabetes, Mount Sinai Hospital, Toronto, Canada
- Division of Endocrinology, University of Toronto, Toronto, Canada
- Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, Canada
| | - Ravi Retnakaran
- Leadership Sinai Centre for Diabetes, Mount Sinai Hospital, Toronto, Canada
- Division of Endocrinology, University of Toronto, Toronto, Canada
- Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, Canada
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Chieu RV, Hamilton K, Ryan PM, Copeland J, Wang PW, Retnakaran R, Guttman DS, Parkinson J, Hamilton JK. The impact of gestational diabetes on functional capacity of the infant gut microbiome is modest and transient. Gut Microbes 2024; 16:2356277. [PMID: 38798005 PMCID: PMC11135868 DOI: 10.1080/19490976.2024.2356277] [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: 10/27/2023] [Accepted: 05/13/2024] [Indexed: 05/29/2024] Open
Abstract
Gestational diabetes mellitus (GDM) is a metabolic complication that manifests as hyperglycemia during the later stages of pregnancy. In high resource settings, careful management of GDM limits risk to the pregnancy, and hyperglycemia typically resolves after birth. At the same time, previous studies have revealed that the gut microbiome of infants born to mothers who experienced GDM exhibit reduced diversity and reduction in the abundance of several key taxa, including Lactobacillus. What is not known is what the functional consequences of these changes might be. In this case control study, we applied 16S rRNA sequence surveys and metatranscriptomics to profile the gut microbiome of 30 twelve-month-old infants - 16 from mothers with GDM, 14 from mothers without - to examine the impact of GDM during pregnancy. Relative to the mode of delivery and sex of the infant, maternal GDM status had a limited impact on the structure and function of the developing microbiome. While GDM samples were associated with a decrease in alpha diversity, we observed no effect on beta diversity and no differentially abundant taxa. Further, while the mode of delivery and sex of infant affected the expression of multiple bacterial pathways, much of the impact of GDM status on the function of the infant microbiome appears to be lost by twelve months of age. These data may indicate that, while mode of delivery appears to impact function and diversity for longer than anticipated, GDM may not have persistent effects on the function nor composition of the infant gut microbiome.
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Affiliation(s)
- Ryan V. Chieu
- Program in Molecular Medicine, Hospital for Sick Children Research Institute, Toronto, ON, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada
| | - Katharine Hamilton
- Division of Endocrinology, The Hospital for Sick Children, Toronto, ON, Canada
| | - Paul M. Ryan
- Division of Endocrinology, The Hospital for Sick Children, Toronto, ON, Canada
- Department of Pediatrics, University of Toronto, Toronto, ON, Canada
| | - Julia Copeland
- Centre for the Analysis of Genome Evolution & Function, University of Toronto, Toronto, ON, Canada
| | - Pauline W. Wang
- Centre for the Analysis of Genome Evolution & Function, University of Toronto, Toronto, ON, Canada
- Department of Cell & Systems Biology, University of Toronto, Toronto, ON, Canada
| | - Ravi Retnakaran
- Leadership Sinai Centre for Diabetes, Mount Sinai Hospital, Toronto, ON, Canada
| | - David S. Guttman
- Centre for the Analysis of Genome Evolution & Function, University of Toronto, Toronto, ON, Canada
- Department of Cell & Systems Biology, University of Toronto, Toronto, ON, Canada
| | - John Parkinson
- Program in Molecular Medicine, Hospital for Sick Children Research Institute, Toronto, ON, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada
- Department of Biochemistry, University of Toronto, Toronto, ON, Canada
| | - Jill K. Hamilton
- Division of Endocrinology, The Hospital for Sick Children, Toronto, ON, Canada
- Department of Pediatrics, University of Toronto, Toronto, ON, Canada
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Gupta Y, Kapoor D, Lakshmi JK, Praveen D, Santos JA, Billot L, Naheed A, de Silva HA, Gupta I, Farzana N, John R, Ajanthan S, Bhatla N, Desai A, Pathmeswaran A, Prabhakaran D, Teede H, Zoungas S, Patel A, Tandon N. The incidence and risk factors of postpartum diabetes in women from Bangladesh, India and Sri Lanka (South Asia) with prior gestational diabetes mellitus: Results from the LIVING study. Diabetes Res Clin Pract 2023; 204:110893. [PMID: 37657646 DOI: 10.1016/j.diabres.2023.110893] [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: 03/12/2023] [Revised: 08/24/2023] [Accepted: 08/30/2023] [Indexed: 09/03/2023]
Abstract
AIM To study, the incidence and risk factors for postpartum diabetes (DM), in women with gestational diabetes mellitus (GDM) from South Asia (Bangladesh, India and Sri Lanka), followed for nearly two years after delivery. METHODS Women with prior GDM diagnosed using IADPSG criteria were invited at 19 centres across Bangladesh, India and Sri Lanka for an oral glucose tolerance test (OGTT) following childbirth, and were enrolled in a randomized controlled trial. The glycaemic category (outcome) was defined from an OGTT based on American Diabetes Association criteria. RESULTS Participants (n = 1808) recruited had a mean ± SD age of 31.0 ± 5.0 years. Incident DM was identified, between childbirth and the last follow-up, in 310 (17.1 %) women [incidence 10.75/100 person years], with a median follow-up duration of 1.82 years after childbirth. Higher age, lower education status, higher prior pregnancy count, prior history of GDM, family history of DM, and postpartum overweight/obese status were significantly associated with incident DM. Women in Bangladesh had a higher cumulative incidence of DM [16.49/100 person years] than in Sri Lanka [12.74/100 person years] and India [7.21/100 person years]. CONCLUSIONS A high incidence of DM was found in women with prior GDM in South Asia, with significant variation between countries. Women from Bangladesh had a significantly higher pregnancy count, family history of DM and overweight/obese status, despite having significantly lower age, which could be responsible for their higher rates of DM. Registration of this study: The study was registered with the Clinical Trials Registry of India (CTRI/2017/06/008744), Sri Lanka Clinical Trials Registry (SLCTR/2017/001), and ClinicalTrials.gov (NCT03305939).
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Affiliation(s)
- Yashdeep Gupta
- Department of Endocrinology and Metabolism, All India Institute of Medical Sciences, New Delhi, India.
| | - Deksha Kapoor
- Department of Endocrinology and Metabolism, All India Institute of Medical Sciences, New Delhi, India
| | - Josyula K Lakshmi
- George Institute for Global Health, Hyderabad, India; Faculty of Medicine and Health, University of New South Wales, Sydney, Australia; Prasanna School of Public Health, Manipal Academy of Higher Education, Manipal, India
| | - Devarsetty Praveen
- George Institute for Global Health, Hyderabad, India; Faculty of Medicine and Health, University of New South Wales, Sydney, Australia; Prasanna School of Public Health, Manipal Academy of Higher Education, Manipal, India
| | | | - Laurent Billot
- Faculty of Medicine and Health, University of New South Wales, Sydney, Australia; George Institute for Global Health, Sydney, Australia
| | - Aliya Naheed
- Initiative for Non Communicable Diseases, Nutrition Research Division, International Centre for Diarrhoeal Disease Research (ICDDR, B), Dhaka, Bangladesh
| | - H Asita de Silva
- Clinical Trials Unit, Department of Pharmacology, Faculty of Medicine, University of Kelaniya, Kelaniya, Sri Lanka
| | - Ishita Gupta
- Centre for Chronic Disease Control, New Delhi, India
| | - Noshin Farzana
- Initiative for Non Communicable Diseases, Nutrition Research Division, International Centre for Diarrhoeal Disease Research (ICDDR, B), Dhaka, Bangladesh
| | - Renu John
- George Institute for Global Health, Hyderabad, India
| | | | - Neerja Bhatla
- Department of Obstetrics and Gynaecology, All India Institute of Medical Sciences, New Delhi, India
| | - Ankush Desai
- Department of Endocrinology, Goa Medical College, Goa, India
| | | | - Dorairaj Prabhakaran
- Centre for Chronic Disease Control, New Delhi, India; Public Health Foundation of India, New Delhi, India; London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Helena Teede
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Sophia Zoungas
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Anushka Patel
- Faculty of Medicine and Health, University of New South Wales, Sydney, Australia; George Institute for Global Health, Sydney, Australia
| | - Nikhil Tandon
- Department of Endocrinology and Metabolism, All India Institute of Medical Sciences, New Delhi, India
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Xu R, Liu S, Zhong Z, Guo Y, Xia T, Chen Y, Ding L. The Influence of Maternal Folate Status on Gestational Diabetes Mellitus: A Systematic Review and Meta-Analysis. Nutrients 2023; 15:2766. [PMID: 37375669 DOI: 10.3390/nu15122766] [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: 04/27/2023] [Revised: 06/12/2023] [Accepted: 06/14/2023] [Indexed: 06/29/2023] Open
Abstract
Maternal folate has been shown to relate to the risk of gestational diabetes mellitus (GDM). However, the existing studies have yielded inconsistent conclusions. The purpose of this study was to systematically review the association between maternal folate status and the risk of GDM. Observational studies up to 31 October 2022 were included. Study characteristics, the means and standard deviations (SDs) of folate levels (serum/red blood cell (RBC)), the odds ratios (ORs) with 95% confidence intervals (CIs) and the time for folate measurement were extracted. Compared with the non-GDM group, serum and RBC folate levels in women with GDM were significantly higher. Our subgroup analysis demonstrated that serum folate levels in the GDM group were significantly higher than in the non-GDM group only in the second trimester. RBC folate levels in the GDM group were significantly higher than in the non-GDM group in the first and second trimesters. Taking serum/RBC folate levels as continuous variables, the adjusted odds ratios of GDM risk showed that increased serum folate concentration rather than RBC folate elevated the risk of GDM. In the descriptive analysis, five studies reported high serum folate levels increased GDM risk, whereas the other five showed no association between serum folate levels and GDM risk. Moreover, the rest three studies pointed out high RBC folate levels increased GDM risk. Altogether we found that the risk of GDM is associated with high serum/plasma and RBC folate levels. Future studies should determine the recommended folic acid cutoff balancing the risk for GDM and fetal malformations.
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Affiliation(s)
- Ruhan Xu
- School of Medicine, Jiangsu University, Zhenjiang 212013, China
| | - Shenhao Liu
- School of Medicine, Jiangsu University, Zhenjiang 212013, China
| | - Zhiqi Zhong
- School of Medicine, Jiangsu University, Zhenjiang 212013, China
| | - Yifei Guo
- School of Medicine, Jiangsu University, Zhenjiang 212013, China
| | - Tianqi Xia
- School of Medicine, Jiangsu University, Zhenjiang 212013, China
| | - Yanyan Chen
- School of Medicine, Jiangsu University, Zhenjiang 212013, China
- Department of Pharmacology, School of Medicine, Jiangsu University, Zhenjiang 212013, China
| | - Lingling Ding
- School of Medicine, Jiangsu University, Zhenjiang 212013, China
- Department of Physiology, School of Medicine, Jiangsu University, Zhenjiang 212013, China
- Key Laboratory of Laboratory Medicine of Jiangsu Province, School of Medicine, Jiangsu University, Zhenjiang 212013, China
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