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Mo Z, Han Y, Cao C, Huang Q, Hu Y, Yu Z, Hu H. Association between non-high-density lipoprotein to high-density lipoprotein ratio and reversion to normoglycemia in people with impaired fasting glucose: a 5-year retrospective cohort study. Diabetol Metab Syndr 2023; 15:259. [PMID: 38105214 PMCID: PMC10726583 DOI: 10.1186/s13098-023-01237-0] [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: 08/09/2023] [Accepted: 11/29/2023] [Indexed: 12/19/2023] Open
Abstract
OBJECTIVE The relationship between the non-high-density lipoprotein to high-density lipoprotein ratio (non-HDL-c/HDL-c ratio) and changes in glycemic status as well as the development of type 2 diabetes mellitus (T2DM) has been well established. However, there is a lack of evidence concerning the association between the non-HDL-c/HDL-c ratio and the reversal of normoglycemia in individuals with impaired fasting glucose (IFG). Therefore, this study aimed to examine the connection between the non-HDL-c/HDL-c ratio and the likelihood of reverting to normoglycemia among people with IFG. METHODS This retrospective cohort study examined data collected from 15,524 non-selective participants with IFG at the Rich Healthcare Group in China between January 2010 and 2016. The Cox proportional-hazards regression model was used to investigate the connection between the baseline non-HDL-c/HDL-c ratio and the probability of reverting to normoglycemia. We were able to discover the non-linear association between the non-HDL-c/HDL-c ratio and reversion to normoglycemia using a Cox proportional hazards regression model with cubical spline smoothing. We also performed several sensitivity and subgroup analyses. A competing risk multivariate Cox regression was utilized as well to examine the development to diabetes as a competing risk for the reversal of normoglycemic events. RESULTS In our study, a total of 15,524 individuals participated, with a mean age of 50.9 ± 13.5 years, and 64.7% were male. The average baseline non-HDL-c/HDL-c ratio was 2.9 ± 0.9. Over a median follow-up period of 2.9 years, we observed a reversion rate to normoglycemia of 41.8%. After adjusting for covariates, our findings revealed a negative association between the non-HDL-c/HDL-c ratio and the likelihood of reverting to normoglycemia (HR = 0.71, 95% CI 0.69-0.74). Notably, we identified a non-linear relationship between the non-HDL-c/HDL-c ratio and the probability of transitioning from IFG to normoglycemia. We found an inflection point at a non-HDL-c/HDL-c ratio of 3.1, with HRs of 0.63 (95% CI 0.69, 0.74) on the left side and 0.78 (95% CI 0.74, 0.83) on the right side of the point. Competing risks multivariate Cox's regression, sensitivity analysis, and subgroup analysis consistently supported our robust results. CONCLUSION Our study has revealed a negative and non-linear relationship between the non-HDL-c/HDL-c ratio and reversion to normoglycemia in Chinese people with IFG. Specifically, when the non-HDL-c/HDL-c ratio was below 3.1, a significant and negative association with reversion to normoglycemia was observed. Furthermore, keeping the non-HDL-c/HDL-c ratio below 3.1 significantly elevated the probability of returning to normoglycemia.
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Affiliation(s)
- Zihe Mo
- Department of Physical Examination, Dongguan Tungwah Hospital, No. 1 Dongcheng Road, Dongcheng Street, Dongguan, 523000, Guangdong, China
| | - Yong Han
- Department of Emergency, Shenzhen Second People's Hospital, Shenzhen, 518000, Guangdong, China
- Department of Emergency, The First Affiliated Hospital of Shenzhen University, Shenzhen, 518000, Guangdong, China
| | - Changchun Cao
- Department of Rehabilitation, Shenzhen Dapeng New District Nan'ao People's Hospital, Shenzhen, 518000, Guangdong, China
| | - Qingli Huang
- Department of Physical Examination, Dongguan Tungwah Hospital, No. 1 Dongcheng Road, Dongcheng Street, Dongguan, 523000, Guangdong, China
| | - Yanhua Hu
- College of Information Science and Engineering, Liuzhou Institute of Technology, No. 99, Xinliu Avenue, Yufeng District, Liuzhou, 545616, Guangxi Zhuang Autonomous Region, China.
| | - Zhiqun Yu
- Department of Physical Examination, Dongguan Tungwah Hospital, No. 1 Dongcheng Road, Dongcheng Street, Dongguan, 523000, Guangdong, China.
| | - Haofei Hu
- Department of Nephrology, Shenzhen Second People's Hospital, No.3002 Sungang Road, Futian District, Shenzhen, 518000, Guangdong, China.
- Department of Nephrology, The First Affiliated Hospital of Shenzhen University, Shenzhen, 518000, Guangdong, China.
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Juber NF, Abdulle A, AlJunaibi A, AlNaeemi A, Ahmad A, Leinberger-Jabari A, Al Dhaheri AS, AlZaabi E, Mezhal F, Al-Maskari F, AlAnouti F, Alsafar H, Alkaabi J, Wareth LA, Aljaber M, Kazim M, Weitzman M, Al-Houqani M, Ali MH, Oumeziane N, El-Shahawy O, Sherman S, AlBlooshi S, Shah SM, Loney T, Almahmeed W, Idaghdour Y, Ali R. Maternal Early-Life Risk Factors and Later Gestational Diabetes Mellitus: A Cross-Sectional Analysis of the UAE Healthy Future Study (UAEHFS). INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:10339. [PMID: 36011972 PMCID: PMC9408157 DOI: 10.3390/ijerph191610339] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Revised: 08/10/2022] [Accepted: 08/17/2022] [Indexed: 06/15/2023]
Abstract
Limited studies have focused on maternal early-life risk factors and the later development of gestational diabetes mellitus (GDM). We aimed to estimate the GDM prevalence and examine the associations of maternal early-life risk factors, namely: maternal birthweight, parental smoking at birth, childhood urbanicity, ever-breastfed, parental education attainment, parental history of diabetes, childhood overall health, childhood body size, and childhood height, with later GDM. This was a retrospective cross-sectional study using the UAE Healthy Future Study (UAEHFS) baseline data (February 2016 to April 2022) on 702 ever-married women aged 18 to 67 years. We fitted a Poisson regression to estimate the risk ratio (RR) for later GDM and its 95% confidence interval (CI). The GDM prevalence was 5.1%. In the fully adjusted model, females with low birthweight were four times more likely (RR 4.04, 95% CI 1.36-12.0) and females with a parental history of diabetes were nearly three times more likely (RR 2.86, 95% CI 1.10-7.43) to report later GDM. In conclusion, maternal birthweight and parental history of diabetes were significantly associated with later GDM. Close glucose monitoring during pregnancy among females with either a low birth weight and/or parental history of diabetes might help to prevent GDM among this high-risk group.
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Affiliation(s)
- Nirmin F. Juber
- Public Health Research Center, New York University Abu Dhabi, Abu Dhabi P.O. Box 129188, United Arab Emirates
| | - Abdishakur Abdulle
- Public Health Research Center, New York University Abu Dhabi, Abu Dhabi P.O. Box 129188, United Arab Emirates
| | - Abdulla AlJunaibi
- Department of Pediatrics, Zayed Military Hospital, Abu Dhabi P.O. Box 72763, United Arab Emirates
| | - Abdulla AlNaeemi
- Department of Cardiology, Zayed Military Hospital, Abu Dhabi P.O. Box 72763, United Arab Emirates
| | - Amar Ahmad
- Public Health Research Center, New York University Abu Dhabi, Abu Dhabi P.O. Box 129188, United Arab Emirates
| | - Andrea Leinberger-Jabari
- Public Health Research Center, New York University Abu Dhabi, Abu Dhabi P.O. Box 129188, United Arab Emirates
| | - Ayesha S. Al Dhaheri
- Department of Nutrition and Health, College of Medicine and Health Sciences, UAE University, Al-Ain P.O. Box 15551, United Arab Emirates
| | - Eiman AlZaabi
- Department of Pathology, Sheikh Shakhbout Medical City, Abu Dhabi P.O. Box 11001, United Arab Emirates
| | - Fatima Mezhal
- Public Health Research Center, New York University Abu Dhabi, Abu Dhabi P.O. Box 129188, United Arab Emirates
| | - Fatma Al-Maskari
- Institute of Public Health, College of Medicine and Health Sciences, UAE University, Al-Ain P.O. Box 15551, United Arab Emirates
- Zayed Center for Health Sciences, UAE University, Al-Ain P.O. Box 15551, United Arab Emirates
| | - Fatme AlAnouti
- College of Natural and Health Sciences, Zayed University, Abu Dhabi P.O. Box 144534, United Arab Emirates
| | - Habiba Alsafar
- Center for Biotechnology, Khalifa University of Science and Technology, Abu Dhabi P.O. Box 127788, United Arab Emirates
- Department of Genetics and Molecular Biology, Khalifa University of Science and Technology, Abu Dhabi P.O. Box 127788, United Arab Emirates
- Department of Biomedical Engineering, Khalifa University of Science and Technology, Abu Dhabi P.O. Box 127788, United Arab Emirates
| | - Juma Alkaabi
- Department of Internal Medicine, College of Medicine and Health Sciences, UAE University, Al-Ain P.O. Box 15551, United Arab Emirates
| | - Laila Abdel Wareth
- The National Reference Laboratory, Abu Dhabi P.O. Box 92323, United Arab Emirates
| | - Mai Aljaber
- Healthpoint Hospital, Abu Dhabi P.O. Box 112308, United Arab Emirates
| | - Marina Kazim
- Abu Dhabi Blood Bank Services, SEHA, Abu Dhabi P.O. Box 109090, United Arab Emirates
| | - Michael Weitzman
- Department of Environmental Medicine, New York University of Medicine, New York, NY 10016, USA
| | - Mohammad Al-Houqani
- Department of Medicine, College of Medicine and Health Sciences, UAE University, Al-Ain P.O. Box 15551, United Arab Emirates
| | - Mohammed Hag Ali
- Faculty of Health Sciences, Higher Colleges of Technology, Abu Dhabi P.O. Box 25026, United Arab Emirates
| | - Naima Oumeziane
- Abu Dhabi Blood Bank Services, SEHA, Abu Dhabi P.O. Box 109090, United Arab Emirates
| | - Omar El-Shahawy
- Department of Population Health, New York University School of Medicine, New York, NY 10016, USA
| | - Scott Sherman
- Department of Population Health, New York University School of Medicine, New York, NY 10016, USA
| | - Sharifa AlBlooshi
- College of Natural and Health Sciences, Zayed University, Dubai P.O. Box 19282, United Arab Emirates
| | - Syed M. Shah
- Institute of Public Health, College of Medicine and Health Sciences, UAE University, Al-Ain P.O. Box 15551, United Arab Emirates
| | - Tom Loney
- College of Medicine, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai P.O. Box 505055, United Arab Emirates
| | - Wael Almahmeed
- Heart and Vascular Institute, Cleveland Clinic Abu Dhabi, Abu Dhabi P.O. Box 112412, United Arab Emirates
| | - Youssef Idaghdour
- Public Health Research Center, New York University Abu Dhabi, Abu Dhabi P.O. Box 129188, United Arab Emirates
| | - Raghib Ali
- Public Health Research Center, New York University Abu Dhabi, Abu Dhabi P.O. Box 129188, United Arab Emirates
- MRC Epidemiology Unit, University of Cambridge, Cambridge CB2 1TN, UK
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Wang H, He H, Yu Y, Su X, Li F, Li J. Maternal diabetes and the risk of feeding and eating disorders in offspring: a national population-based cohort study. BMJ Open Diabetes Res Care 2020; 8:8/1/e001738. [PMID: 33077476 PMCID: PMC7574887 DOI: 10.1136/bmjdrc-2020-001738] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/28/2020] [Revised: 09/02/2020] [Accepted: 09/23/2020] [Indexed: 12/22/2022] Open
Abstract
INTRODUCTION Previous studies have suggested that maternal diabetes may have programming effect on fetal brain development. However, little is known about the association between maternal diabetes and neurodevelopmental disorders in offspring that mainly manifest in infancy or early childhood. We aimed to examine the association between maternal diabetes before or during pregnancy and feeding and eating disorders (FED) in offspring. RESEARCH DESIGN AND METHODS This population-based cohort study included 1 193 891 singletons born in Denmark during 1996-2015. These children were followed from birth until the onset of FED, the sixth birthday, death, emigration, or 31 December 2016, whichever came first. Relative risk of FED was estimated by HRs using Cox proportional hazards model. RESULTS A total of 40 867 (3.4%) children were born to mothers with diabetes (20 887 with pregestational diabetes and 19 980 with gestational diabetes). The incidence rates of FED were 6.8, 4.6 and 2.9 per 10 000 person-years among children of mothers with pregestational diabetes, gestational diabetes and no diabetes, respectively. Offspring of mothers with diabetes had a 64% increased risk of FED (HR 1.64; 95% CI 1.36 to 1.99; p<0.001). The HR for maternal pregestational diabetes and gestational diabetes was 2.01 (95% CI 1.59 to 2.56; p<0.001) and 1.28 (95% CI 0.95 to 1.72; p=0.097), respectively. The increased risk was more pronounced among offspring of mothers with diabetic complications (HR 2.97; 95% CI 1.54 to 5.72; p=0.001). CONCLUSIONS Maternal diabetes was associated with an increased risk of FED in offspring in infancy and early childhood. Our findings can inform clinical decisions for better management of maternal diabetes, in particular before pregnancy, which can reduce early neurodevelopmental problems in the offspring.
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Affiliation(s)
- Hui Wang
- MOE-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hua He
- MOE-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Developmental and Behavioural Pediatric Department & Child Primary Care Department, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yongfu Yu
- Department of Clinical Epidemiology, Aarhus University, Aarhus, Denmark
| | - Xiujuan Su
- Clinical Research Center, Shanghai First Maternity and Infant Hospital Affiliated to Tongji University, Shanghai, China
| | - Fei Li
- MOE-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Developmental and Behavioural Pediatric Department & Child Primary Care Department, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jiong Li
- MOE-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Department of Clinical Epidemiology, Aarhus University, Aarhus, Denmark
- School of Global Health, Chinese Center for Tropical Disease Research, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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Epigenetic signatures associated with maternal body mass index or gestational weight gain: a systematic review. J Dev Orig Health Dis 2020; 12:373-383. [PMID: 32873364 DOI: 10.1017/s2040174420000811] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Maternal body mass index (BMI) and gestational weight gain (GWG) impacts both the mother's and the child's health, and epigenetic modifications have been suggested to mediate some of these effects in offspring. This systematic review aimed to summarize the current literature on associations between maternal BMI and GWG and epigenetic marks. We performed systematic searches in PubMed and EMBASE and manual searches of reference lists. We included 49 studies exploring the association between maternal BMI and/or GWG and DNA methylation or miRNA; 7 performed in maternal tissues, 13 in placental tissue and 38 in different offspring tissues. The most consistent findings were reported for the relationship between maternal BMI, in particular pre-pregnant BMI, and expression of miRNA Let-7d in both maternal blood and placental tissue, methylation of the gene HIF3A in umbilical cord blood and umbilical tissue, and with expression in the miR-210 target gene, BDNF in placental tissue and cord blood. Correspondingly, methylation of BDNF was also found in placental tissue and cord blood. The current evidence suggests that maternal BMI is associated with some epigenetic signatures in the mother, the placenta and her offspring, which could indicate that some of the effects proposed by the Developmental Origins of Health and Disease-hypothesis may be mediated by epigenetic marks. In conclusion, there is a need for large, well-designed studies and meta-analyses that can clarify the relationship between BMI, GWG and epigenetic changes.
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