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Mendez L, Li J, Hsieh CT, Zhang L, Britt J, Crockett A, Chen L. Examining childhood and adulthood stressors as risk factors for gestational diabetes mellitus in working pregnant individuals: A prospective cohort study. Prev Med 2024; 189:108163. [PMID: 39505116 DOI: 10.1016/j.ypmed.2024.108163] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/16/2024] [Revised: 10/31/2024] [Accepted: 11/01/2024] [Indexed: 11/08/2024]
Abstract
AIMS This study aimed to examine the individual and joint associations of adverse childhood experiences (ACEs) and maternal work and non-work related stressors with the risk of gestational diabetes mellitus (GDM). METHODS Working pregnant individuals (n = 1163) from a United States (U.S.) prospective cohort conducted in South Carolina between 2016 and 2021 were included in the study. ACEs were assessed at study enrollment before 20 gestational weeks (GW), while maternal stressors were assessed in late pregnancy and GDM diagnosis occurred between 24 and 30 GW. Multivariable logistic regressions were performed to assess associations of ACEs and maternal stressors with GDM. RESULTS Childhood abuse, an ACE subdomain, was associated with an elevated but statistically insignificant risk of GDM (adjusted OR = 1.47; 95 % CI: 0.85-2.53). Only maternal work stressors were associated with an increased risk of GDM (adjusted OR = 2.11; 95 % CI: 1.17-3.79) and the association became much stronger among those with childhood abuse experiences (adjusted OR = 3.80; 95 % CI:1.68-8.60). CONCLUSION Among U.S. working pregnant individuals, having work stressors during pregnancy was associated with an elevated risk of developing GDM, particularly among those who had childhood experience of abuse.
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Affiliation(s)
- Lizette Mendez
- Department of Epidemiology, Fielding School of Public Health, University of California Los Angeles, Los Angeles, USA
| | - Jian Li
- Department of Epidemiology, Fielding School of Public Health, University of California Los Angeles, Los Angeles, USA; Department of Environmental Health Sciences, Fielding School of Public Health, University of California Los Angeles, Los Angeles, USA; School of Nursing, University of California Los Angeles, Los Angeles, USA
| | - Cheng-Tzu Hsieh
- Department of Epidemiology, Fielding School of Public Health, University of California Los Angeles, Los Angeles, USA
| | - Lu Zhang
- Department of Public Health Sciences, Clemson University College of Behavioral, Social and Health Sciences, SC, USA
| | - Jessica Britt
- Department of Obstetrics and Gynecology, Prisma Health/University of South Carolina School of Medicine Greenville, Greenville, SC, USA
| | - Amy Crockett
- Department of Obstetrics and Gynecology, Prisma Health/University of South Carolina School of Medicine Greenville, Greenville, SC, USA
| | - Liwei Chen
- Department of Epidemiology, Fielding School of Public Health, University of California Los Angeles, Los Angeles, USA.
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Chen L, Zhu Y. Gestational Diabetes Mellitus and Subsequent Risks of Diabetes and Cardiovascular Diseases: the Life Course Perspective and Implications of Racial Disparities. Curr Diab Rep 2024; 24:244-255. [PMID: 39230861 DOI: 10.1007/s11892-024-01552-4] [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] [Accepted: 08/19/2024] [Indexed: 09/05/2024]
Abstract
PURPOSE OF REVIEW Gestational diabetes mellitus (GDM) is one of the most common pregnancy complications worldwide and the prevalence is continuously rising globally. Importantly, GDM is not an isolated complication of pregnancy. Growing evidence suggests that individuals with GDM, compared to those without GDM, have an increased risk of subsequent type 2 diabetes (T2D) and cardiovascular diseases (CVD). Substantial racial and ethnic disparities exist in the risk of GDM. However, the role of race and ethnicity in the progression from GDM to T2D and CVD remains unclear. The purpose of the current review is to summarize recent research about GDM and its life-course impacts on cardiometabolic health, including 1) the peak time of developing T2D and CVD risks after GDM, 2) the racial and ethnic disparities in the risk cardiometabolic diseases after GDM, 3) the biological plausibility and underlying mechanisms, and 4) recommendations for screening and prevention of cardiometabolic diseases among individuals with GDM, collectively to provide an updated review to guide future research. RECENT FINDINGS Growing evidence has indicated that individuals with GDM had greater risks of T2D (7.4 to 9.6 times), hypertension (78% higher), and CDV events (74% higher) after GDM than their non-GDM counterparts. More recently, a few studies also suggested that GDM could slightly increase the risk of mortality. Available evidence suggests that key CVD risk factors such as blood pressure, plasma glucose, and lipids levels are all elevated as early as < 1 year postpartum in individuals with GDM. The risk of T2D and hypertension is likely to reach a peak between 3-6 years after the index pregnancy with GDM compared to normal glycemia pregnancy. Cumulative evidence also suggests that the risk of cardiometabolic diseases including T2D, hypertension, and CVD events after GDM varies by race and ethnicity. However, whether the risk is higher in certain racial and ethnic groups and whether the pattern may vary by the postpartum cardiometabolic outcome of interest remain unclear. The underlying mechanisms linking GDM and subsequent T2D and CVD are complex, often involving multiple pathways and their interactions, with the specific mechanisms varying by individuals of different racial and ethnic backgrounds. Diabetes and CVD risk screening among individuals with GDM should be initiated early during postpartum and continue, if possible, frequently. Unfortunately, adherence to postpartum glucose testing with either obstetrician or primary care providers remained poor among individuals with GDM. A life-course perspective may provide critical information to address clinical and public health gaps in postpartum screening and interventions for preventing T2D and CVD risks in individuals with GDM. Future research investigating the racial- and ethnic-specific risk of progression from GDM to cardiometabolic diseases and the role of multi-domain factors including lifestyle, biological, and socio-contextual factors are warranted to inform tailored and culture-appropriate interventions for high-risk subpopulations. Further, examining the barriers to postpartum glucose testing among individuals with GDM is crucial for the effective prevention of cardiometabolic diseases and for enhancing life-long health.
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Affiliation(s)
- Liwei Chen
- Department of Epidemiology, University of California Los Angeles (UCLA), Los Angeles, CA, 90095, USA.
| | - Yeyi Zhu
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
- Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA
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Hsieh CT, Zhang L, Britt J, Shodahl S, Crockett A, Chen L. Pregnancy Anxiety and Risk of Gestational Diabetes Mellitus Among a Diverse U.S. Cohort. J Womens Health (Larchmt) 2024. [PMID: 39419550 DOI: 10.1089/jwh.2024.0453] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2024] Open
Abstract
Background: Pregnancy anxiety increases the risk of preterm birth but less is known about the impacts on glucose intolerance during pregnancy, such as gestational diabetes mellitus (GDM). The present study examined the relationship between pregnancy anxiety and the risk of GDM in a prospective cohort Centering and Racial Disparities (CRADLE) study of racially diverse pregnant women in the United States. Methods: This is a prospective analysis among racially diverse pregnant women in the United States who enrolled in the CRADLE study. Pregnancy anxiety was assessed twice using the Pregnancy-Specific Anxiety Scale (PSAS): the baseline survey at <20 gestational weeks (GW) and the second survey at >30 GW. GDM was screened at 24-30 GW and diagnosed based on the Carpenter and Coustan criteria. The associations of baseline PSAS score (>9 [median] versus ≤9) and PSAS score change with GDM risk were estimated using multivariable logistic regressions with adjustment for potential confounders. Results: Among a total of 2,310 women (40.74% Black, 20.91% Hispanic), 154 (6.67%) developed GDM. No association was found between baseline PSAS and GDM (adjusted odds ratio [OR]: 0.99; 95% confidence interval [CI]: 0.70-1.42) after adjusting for confounders. Individuals with an increased PSAS during pregnancy had 52% higher GDM risk (adjusted OR: 1.52, 95% CI: 1.04-2.23) compared with those with no change or decreased scores. Conclusions: Pregnant individuals who increased their pregnancy-specific anxiety level during pregnancy had a higher risk of developing GDM. Clinical Trials Registration Identifier: NCT02640638. Registered with ClinicalTrials.gov December 29, 2015. Study recruitment began February 24, 2016. URL of ClincialTrials.gov registration site: https://clinicaltrials.gov/ct2/show/NCT02640638?term=NCT02640638&draw=2&rank=1.
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Affiliation(s)
- Cheng-Tzu Hsieh
- Department of Epidemiology, University of California, Los Angeles, California, USA
| | - Lu Zhang
- Department of Public Health Sciences, Clemson University, Clemson, South Carolina, USA
| | - Jessica Britt
- Department of Obstetrics and Gynecology, Prisma Health Greenville, Greenville, South Carolina, USA
| | - Skye Shodahl
- Department of Community Health Sciences, University of California, Los Angeles, California, USA
| | - Amy Crockett
- Department of Obstetrics and Gynecology, School of Medicine Greenville, Prisma Health/University of South Carolina, Columbia, South Carolina, USA
| | - Liwei Chen
- Department of Epidemiology, University of California, Los Angeles, California, USA
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McCarthy KJ, Liu SH, Kennedy J, Chan HT, Howell F, Boychuk N, Mayer VL, Vieira L, Tabaei B, Seil K, Van Wye G, Janevic T. Preconception HbA1c Levels in Adolescents and Young Adults and Adverse Birth Outcomes. JAMA Netw Open 2024; 7:e2435136. [PMID: 39316396 PMCID: PMC11423169 DOI: 10.1001/jamanetworkopen.2024.35136] [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] [Indexed: 09/25/2024] Open
Abstract
Importance Subclinical hyperglycemia before pregnancy may be associated with the likelihood of maternal morbidity but is understudied among young people. Objective To explore the association of preconception hemoglobin A1c (HbA1c) levels among adolescents and young adults with risk of gestational diabetes at first live birth. Design, Setting, and Participants This retrospective cohort study used linked 2009 to 2017 birth registry, hospital discharge, and New York City Department of Health A1C Registry data for birthing individuals aged 10 to 24 years with no history of diabetes and at least 1 preconception HbA1c test in New York, New York. Statistical analysis was performed from August to November 2022. Exposure Preconception HbA1c values categorized as no diabetes (HbA1c <5.7%) or prediabetes (HbA1c ≥5.7% to <6.5%). Main Outcomes and Measures The primary outcome was gestational diabetes at first birth. Secondary outcomes included hypertensive disorders of pregnancy, preterm birth, cesarean delivery, and macrosomia. Log binomial regression was used to estimate the relative risk (RR) of gestational diabetes at first birth by preconception HbA1c level, adjusting for prepregnancy characteristics. The optimal HbA1c threshold for gestational diabetes was examined using receiver operating curve regression. Results A total of 14 302 individuals (mean [SD] age, 22.10 [1.55] years) met study eligibility criteria. Of these, 5896 (41.0%) were Hispanic, 4149 (29.0%) were Black, 2583 (18.1%) were White, 1516 (10.6%) were Asian, and 185 (1.3%) had other or unknown race and ethnicity. Most (11 407 individuals [79.7%]) had normoglycemia before pregnancy, and 2895 individuals (20.2%) had prediabetes. Adjusting for prepregnancy characteristics, those with preconception prediabetes had more than twice the risk of gestational diabetes vs those with normoglycemia (adjusted RR [aRR], 2.21; 95% CI, 1.91-2.56). Preconception prediabetes was associated with small increases in the likelihood of a hypertensive disorder of pregnancy (aRR, 1.18; 95% CI, 1.03-1.35) and preterm delivery (aRR, 1.18; 95% CI, 1.02-1.37). The aRRs for cesarean delivery (aRR, 1.09; 95% CI, 0.99-1.20) and macrosomia (aRR, 1.13; 95% CI, 0.93-1.37) were increased but not statistically significant. The optimal HbA1c threshold to identify gestational diabetes among adolescents and young adults was 5.6%. The threshold did not vary by obesity status but was slightly lower among Hispanic individuals (HbA1c of 5.5%). Conclusions and Relevance In this study of adolescents and young adults with at least 1 preconception HbA1c test, prediabetes was associated with increased likelihood of maternal cardiometabolic morbidity at first birth. Efforts to optimize cardiometabolic health before pregnancy may avert excess maternal risk.
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Affiliation(s)
- Katharine J McCarthy
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, New York
- Department of Obstetrics, Gynecology, and Reproductive Science, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Shelley H Liu
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Joseph Kennedy
- Department of Health and Mental Hygiene, Bureau of Vital Statistics, New York, New York
| | - Hiu Tai Chan
- Department of Health and Mental Hygiene, Bureau of Vital Statistics, New York, New York
| | - Frances Howell
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York
| | - Natalie Boychuk
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York
| | - Victoria L Mayer
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, New York
- Division of General Internal Medicine, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Luciana Vieira
- Department of Maternal and Fetal Medicine, Stamford Hospital, Stamford, Connecticut
| | - Bahman Tabaei
- Department of Health and Mental Hygiene, Bureau of Health Equity, New York, New York
| | - Kacie Seil
- Department of Health and Mental Hygiene, Bureau of Vital Statistics, New York, New York
| | - Gretchen Van Wye
- Department of Health and Mental Hygiene, Bureau of Vital Statistics, New York, New York
| | - Teresa Janevic
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York
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Adjei-Gyamfi S, Zakaria MS, Asirifi A, Issahaku S, Ibrahim MA, Aryee PA. Maternal anaemia and polycythaemia during pregnancy and risk of inappropriate birth weight for gestational age babies: a retrospective cohort study in the northern belt of Ghana. BMJ Open 2024; 14:e082298. [PMID: 39142669 PMCID: PMC11331998 DOI: 10.1136/bmjopen-2023-082298] [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: 11/19/2023] [Accepted: 07/30/2024] [Indexed: 08/16/2024] Open
Abstract
BACKGROUND Small for gestational age (SGA) and large for gestational age (LGA) births are topical issues due to their devastating effects on the life course and are also accountable for neonatal mortalities and long-term morbidities. OBJECTIVE We tested the hypothesis that abnormal haemoglobin levels in each trimester of pregnancy will increase the risk of SGA and LGA deliveries in Northern Ghana. DESIGN A retrospective cohort study was conducted from April to July 2020. SETTINGS AND PARTICIPANTS 422 postpartum mothers who had delivered in the last 6-8 weeks before their interview dates were recruited through a systematic random sampling technique from five primary and public health facilities in Northern Ghana. PRIMARY MEASURES Using the INTERGROWTH-21st standard, SGA and LGA births were obtained. Haemoglobin levels from antenatal records were analysed to determine their effect on SGA and LGA births by employing multinomial logistic regression after adjusting for sociodemographic and obstetric factors at a significance level of α=0.05. RESULTS Prevalence of anaemia in the first, second and third trimesters of pregnancy was 63.5%, 71.3% and 45.3%, respectively, and that of polycythaemia in the corresponding trimesters of pregnancy was 5.9%, 3.6% and 1.7%. About 8.8% and 9.2% of the women delivered SGA and LGA babies, respectively. After adjusting for confounders, anaemic mothers in the third trimester of pregnancy had an increased risk of having SGA births (adjusted OR, aOR 5.56; 95% CI 1.65 to 48.1; p<0.001). Mothers with polycythaemia in the first, second and third trimesters of pregnancy were 93% (aOR 0.07; 95% CI 0.01 to 0.46; p=0.040), 85% (aOR 0.15; 95% CI 0.08 to 0.64; p<0.001) and 88% (aOR 0.12; 95% CI 0.07 to 0.15; p=0.001) protected from having SGA births, respectively. Interestingly, anaemia and polycythaemia across all trimesters of pregnancy were not statistically significant with LGA births. CONCLUSION Anaemia during pregnancy increased from the first to the second trimester and subsequently decreased in the third trimester while polycythaemia consistently decreased from the first to the third trimester. LGA babies were more predominant compared with SGA babies. While anaemia in the third trimester of pregnancy increased the risk of SGA births, polycythaemia across the trimesters offered significant protection. Healthcare providers and stakeholders should target pressing interventions for anaemia reduction throughout pregnancy, especially during the third trimester to achieve healthy birth outcomes.
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Affiliation(s)
- Silas Adjei-Gyamfi
- Savelugu Municipal Hospital, Ghana Health Service, Savelugu, Northern Region, Ghana
| | - Mary Sakina Zakaria
- Savelugu Municipal Hospital, Ghana Health Service, Savelugu, Northern Region, Ghana
| | - Abigail Asirifi
- Department of Midwifery, Garden City University College, Kenyasi - Kumasi, Ashanti Region, Ghana
| | - Sulley Issahaku
- Nanton District Health Directorate, Ghana Health Service, Nanton, Northern Region, Ghana
| | | | - Paul Armah Aryee
- School of Allied Health Sciences, University for Development Studies, Tamale, Northern Region, Ghana
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Liu X, Nianogo RA, Janzen C, Fei Z, Seamans MJ, Wen R, Li X, Chen L. Association Between Gestational Diabetes Mellitus and Hypertension: A Systematic Review and Meta-Analysis of Cohort Studies With a Quantitative Bias Analysis of Uncontrolled Confounding. Hypertension 2024; 81:1257-1268. [PMID: 38501243 DOI: 10.1161/hypertensionaha.123.22418] [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: 11/15/2023] [Accepted: 02/19/2024] [Indexed: 03/20/2024]
Abstract
BACKGROUND Whether individuals with gestational diabetes mellitus (GDM) had an increased risk of hypertension remains unclear. We conducted a systematic literature review and meta-analysis to examine the association between GDM and hypertension and performed a quantitative bias analysis to quantify the impact of uncontrolled confounding due to antenatal psychological stress. METHODS We searched databases (PUBMED, EMBASE, and Web of Science) through 2022/11. Eligible studies were cohort studies that reported the association of GDM with hypertension. We assessed the risk of bias using the Newcastle-Ottawa Scale for cohort studies. We pooled adjusted risk ratios with 95% CIs using a random effects model. We performed the quantitative bias analysis using the bias formula. RESULTS We included 15 cohort studies, with a total of 3 959 520 (GDM, 175 378; non-GDM, 3 784 142) individuals. During the follow-up of 2 to 20 years, 106 560 cases of hypertension were reported. We found that GDM was associated with a higher risk of hypertension (pooled risk ratio, 1.78 [95% CI, 1.47, 2.17]). The risk ratio was lower among cohorts assessing incident (1.58 [95% CI, 1.29, 1.95]) than prevalent hypertension (2.60 [95% CI, 2.40, 2.83]). However, other subgroup analyses showed no differences. The quantitative bias analysis revealed that if the uncontrolled confounder of antenatal psychological stress was additionally adjusted, the positive association between GDM and hypertension would attenuate slightly (≤18%) but remains positive. CONCLUSIONS Limitations of this study included residual confounding and discrepancies in GDM and hypertension ascertainments. Our findings indicate that GDM is positively associated with hypertension after the index pregnancy.
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Affiliation(s)
- Xinyue Liu
- Department of Epidemiology, Fielding School of Public Health (X. Liu, R.A.N., M.J.S., X. Li, L.C.), University of California, Los Angeles
| | - Roch A Nianogo
- Department of Epidemiology, Fielding School of Public Health (X. Liu, R.A.N., M.J.S., X. Li, L.C.), University of California, Los Angeles
- California Center for Population Research (R.N.), University of California, Los Angeles
| | - Carla Janzen
- Department Obstetrics and Gynecology, David Geffen School of Medicine (C.J.), University of California, Los Angeles
| | - Zhe Fei
- Department of Statistics, University of California, Riverside (Z.F.)
| | - Marissa J Seamans
- Department of Epidemiology, Fielding School of Public Health (X. Liu, R.A.N., M.J.S., X. Li, L.C.), University of California, Los Angeles
| | - Renee Wen
- Department of Biology (R.W.), University of California, Los Angeles
| | - Xiang Li
- Department of Epidemiology, Fielding School of Public Health (X. Liu, R.A.N., M.J.S., X. Li, L.C.), University of California, Los Angeles
| | - Liwei Chen
- Department of Epidemiology, Fielding School of Public Health (X. Liu, R.A.N., M.J.S., X. Li, L.C.), University of California, Los Angeles
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Liu X, Janzen C, Zhu Y, Seamans M, Fei Z, Nianogo R, Chen L. Prevalence of maternal hyperglycemic subtypes by race/ethnicity and associations between these subtypes with adverse pregnancy outcomes: Findings from a large retrospective multi-ethnic cohort in the United States. Diabetes Res Clin Pract 2024; 209:111576. [PMID: 38360094 DOI: 10.1016/j.diabres.2024.111576] [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: 10/19/2023] [Revised: 02/05/2024] [Accepted: 02/07/2024] [Indexed: 02/17/2024]
Abstract
AIMS With the two-step gestational diabetes mellitus (GDM) screening approach, hyperglycemic subtypes can be identified. We aimed to investigate racial/ethnic differences in the prevalence of hyperglycemic subtypes and to examine the associations between these subtypes and adverse pregnancy outcomes. METHODS In this retrospective cohort, 11,405 pregnancies were screened using the two-step approach. Hyperglycemic subtypes included: pregnancy-impaired glucose intolerance-I (PIGT-I), PIGT-II, GDM-I (abnormal post-load glucose only), and GDM-II (abnormal fasting & post-load glucose). Modified Poisson regressions with robust error variance were used to estimate age-adjusted prevalence ratios (PR) of hyperglycemic subtypes and multivariable-adjusted risk ratios (RR) of adverse pregnancy outcomes. RESULTS The prevalence of hyperglycemic subtypes was higher in Asians (PIGT-I: 1.51 [95% confidence interval 1.35-1.69]; PIGT-II: 2.18 [1.78-2.68]; GDM-I: 2.55 [2.10-3.10]; GDM-II: 1.55 [1.08-2.21]) and Hispanics (PIGT-I: 1.32 [1.16-1.50]; PIGT-II: 2.07 [1.67-2.57]; GDM-I: 1.69 [1.35-2.13]; GDM-II: 2.68 [1.93-3.71]) than non-Hispanic Whites (NHW). Despite low GDM prevalence, Japanese and Koreans had higher PIGT prevalence than NHW. PIGT-II was positively associated with hypertensive disorders of pregnancy (1.19 [1.02-1.38]), large-for-gestational age (1.73 [1.37-2.18]), and preterm birth (PB, 1.33 [1.05-1.68]). PIGT-I (1.23 [1.04-1.45]) and GDM-I (1.56 [0.87-1.71]) were positively related to PB. CONCLUSIONS The prevalence of hyperglycemic subtypes varies by race/ethnicity and they have distinct health implications.
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Affiliation(s)
- Xinyue Liu
- Department of Epidemiology, Fielding School of Public Health, UCLA, United States.
| | - Carla Janzen
- Obestetrics and Gynecology, David Geffen School of Medicine, UCLA, United States.
| | - Yeyi Zhu
- Division of Research, Kaiser Permanente Northern California, United States; Department of Epidemiology and Biostatistics, UCSF, United States.
| | - Marissa Seamans
- Department of Epidemiology, Fielding School of Public Health, UCLA, United States.
| | - Zhe Fei
- Department of Statistics, UCR, United States.
| | - Roch Nianogo
- Department of Epidemiology, Fielding School of Public Health, UCLA, United States; California Center for Population Research, UCLA, United States.
| | - Liwei Chen
- Department of Epidemiology, Fielding School of Public Health, UCLA, United States.
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Liu X, Zhu Y, Seamans M, Nianogo R, Janzen C, Fei Z, Chen L. Gestational diabetes mellitus and risk of neurodevelopmental disorders in young offspring: does the risk differ by race and ethnicity? Am J Obstet Gynecol MFM 2024; 6:101217. [PMID: 37940104 DOI: 10.1016/j.ajogmf.2023.101217] [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: 08/10/2023] [Revised: 10/31/2023] [Accepted: 11/02/2023] [Indexed: 11/10/2023]
Abstract
BACKGROUND Previous studies examined the associations of gestational diabetes mellitus with autism spectrum disorder and attention deficit hyperactivity disorder. However, the associations between gestational diabetes mellitus and other neurodevelopmental disorders, such as the common speech/language disorder and developmental coordination disorder, are rarely studied, and whether the associations vary by race/ethnicity remains unknown. OBJECTIVE This study aimed to examine the associations of gestational diabetes mellitus with individual neurodevelopmental disorders in young offspring, and to investigate whether the associations vary by race/ethnicity. STUDY DESIGN This retrospective cohort study (Glucose in Relation to Women and Babies' Health [GrownB]) included 14,480 mother-offspring pairs in a large medical center in the United States from March 1, 2013 to August 31, 2021. We ascertained gestational diabetes mellitus using the validated ICD (International Classification of Diseases) codes (ICD-9: 648.8x; ICD-10: O24.4x), and identified neurodevelopmental disorders (speech/language disorder, developmental coordination disorder, autism spectrum disorder, and other neurodevelopmental disorders [attention deficit hyperactivity disorder, behavioral disorder, intellectual disability, and learning difficulty]) and their combinations using validated algorithms. We compared the hazard of neurodevelopmental disorders during the entire follow-up period between offspring born to mothers with and without gestational diabetes mellitus using multivariable Cox regression models. RESULTS Among all mothers, 19.9% were Asian, 21.8% were Hispanic, 41.0% were non-Hispanic White, and 17.3% were of other/unknown race/ethnicity. During the median follow-up of 3.5 years (range, 1.0-6.3 years) after birth, 8.7% of offspring developed at least 1 neurodevelopmental disorder. Gestational diabetes mellitus was associated with a higher risk of speech/language disorder (adjusted hazard ratio, 1.59 [95% confidence interval, 1.07-2.35]), developmental coordination disorder (2.36 [1.37-4.04]), autism spectrum disorder (3.16 [1.36-7.37]), other neurodevelopmental disorders (3.12 [1.51-6.47]), any neurodevelopmental disorder (1.86 [1.36-2.53]), the combination of speech/language disorder and autism spectrum disorder (3.79 [1.35-10.61]), and the combination of speech/language disorder and developmental coordination disorder (4.22 [1.69-10.51]) among offspring born to non-Hispanic White mothers. No associations between gestational diabetes mellitus and any neurodevelopmental disorders or their combinations were observed among offspring born to mothers of other racial/ethnic groups. CONCLUSION We observed an elevated risk of neurodevelopmental disorders among young offspring born to non-Hispanic White mothers with gestational diabetes mellitus, but not among other racial/ethnic groups.
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Affiliation(s)
- Xinyue Liu
- Department of Epidemiology, Fielding School of Public Health, University of California Los Angeles, Los Angeles, CA (Drs Liu, Seamans, Nianogo, and Chen)
| | - Yeyi Zhu
- Division of Research, Kaiser Permanente Northern California, Oakland, CA. (Dr Zhu); Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA (Dr Zhu)
| | - Marissa Seamans
- Department of Epidemiology, Fielding School of Public Health, University of California Los Angeles, Los Angeles, CA (Drs Liu, Seamans, Nianogo, and Chen)
| | - Roch Nianogo
- Department of Epidemiology, Fielding School of Public Health, University of California Los Angeles, Los Angeles, CA (Drs Liu, Seamans, Nianogo, and Chen); California Center for Population Research, University of California Los Angeles, Los Angeles, CA (Dr Nianogo)
| | - Carla Janzen
- Department of Obstetrics and Gynecology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA (Dr Janzen)
| | - Zhe Fei
- Department of Statistics, University of California Riverside, Riverside, CA (Dr Fei)
| | - Liwei Chen
- Department of Epidemiology, Fielding School of Public Health, University of California Los Angeles, Los Angeles, CA (Drs Liu, Seamans, Nianogo, and Chen).
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Zhao Y, Gao Q, Li B, Wang Y, Wang Y. Ferroptosis and its potential role in gestational diabetes mellitus: updated evidence from pathogenesis to therapy. Front Endocrinol (Lausanne) 2023; 14:1177547. [PMID: 37664858 PMCID: PMC10471987 DOI: 10.3389/fendo.2023.1177547] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Accepted: 08/03/2023] [Indexed: 09/05/2023] Open
Abstract
Background Studies have demonstrated that high iron status is positively associated with gestational diabetes mellitus (GDM), implying that iron overload and ferroptosis play important roles in the development of GDM. The aim of this study was to explore effective therapeutic drugs from traditional Chinese medicine (TCM)formulas for the treatment of GDM based on ferroptosis. Methods In this study, the presence of ferroptosis in the placenta was verified through clinical and experimental data, and key genes were subsequently screened for association with ferroptosis in the development of GDM. The analysis was based on transcriptome sequencing of datasets combined with differentially expressed genes (DEGs) analysis and weighted gene correlation network analysis (WGCNA); functional enrichment analysis was also performed. A protein-protein interaction (PPI) network was constructed and pivotal genes were identified using Cytoscape. Finally, traditional Chinese medicine (TCM)formulas related to treating GDM were collected, then the proteins corresponding to the key genes were molecularly docked with the small molecular structures of clinically proven effective herbal tonics, and molecular dynamic simulations were performed to select the best candidates for pharmacological compounds. Results Elevated ferritin levels in patients with GDM were verified using clinical data. The presence of ferroptosis in placental tissues of patients with GDM was confirmed using electron microscopy and western blotting. Ninety-nine key genes with the highest correlation with ferroptosis were identified from DEGs and weighted gene co-expression network analysis (WGCNA). Analysis using the Kyoto Encyclopedia of Genes and Genomes demonstrated that the DEGs were primarily involved in the oxidative phosphorylation pathway. The key genes were further screened by PPI; two key genes, SF3B14 and BABAM1, were identified by combining the gene corresponding to protein structure and function, followed by molecular docking and molecular dynamic simulation. Coptis chinensis was proposed as the best candidate for herbal treatment at the molecular level. Conclusion This data revealed the presence of ferroptosis in patients with GDM and identified possible modulatory roles of ferroptosis-related genes involved in the molecular mechanisms of GDM, providing new insights into the pathogenesis of GDM, which also provided new directions for the systematic optimization of TCM formulas for the management and targeted treatment of GDM.
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Affiliation(s)
- Yan Zhao
- Department of Obstetrics and Gynaecology, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China
| | - Qianqian Gao
- Department of Obstetrics, Weifang People’s Hospital, Weifang, ShanDong, China
| | - Baoxuan Li
- Department of Obstetrics and Gynaecology, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China
| | - Yang Wang
- Department of Obstetrics and Gynaecology, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China
| | - Yue Wang
- Department of Obstetrics and Gynaecology, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China
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10
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Chen Y, Crockett AH, Britt JL, Zhang L, Nianogo RA, Qian T, Nan B, Chen L. Group vs Individual Prenatal Care and Gestational Diabetes Outcomes: A Secondary Analysis of a Randomized Clinical Trial. JAMA Netw Open 2023; 6:e2330763. [PMID: 37642966 PMCID: PMC10466168 DOI: 10.1001/jamanetworkopen.2023.30763] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Accepted: 07/18/2023] [Indexed: 08/31/2023] Open
Abstract
Importance The impact of group-based prenatal care (GPNC) model in the US on the risk of gestational diabetes (GD) and related adverse obstetric outcomes is unknown. Objective To determine the effects of the GPNC model on risk of GD, its progression, and related adverse obstetric outcomes. Design, Setting, and Participants This is a single-site, parallel-group, randomized clinical trial conducted between February 2016 and March 2020 at a large health care system in Greenville, South Carolina. Participants were individuals aged 14 to 45 years with pregnancies earlier than 21 weeks' gestational age; follow-up continued to 8 weeks post partum. This study used an intention-to-treat analysis, and data were analyzed from March 2021 to July 2022. Interventions Eligible participants were randomized to receive either CenteringPregnancy, a widely used GPNC model, with 10 group-based sessions or traditional individual prenatal care (IPNC). Main Outcomes and Measures The primary outcome was the incidence of GD diagnosed between 24 and 30 weeks of gestation. The secondary outcomes included progression to A2 GD (ie, GD treated with medications) and GD-related adverse obstetric outcomes (ie, preeclampsia, cesarean delivery, and large for gestational age). Log binomial models were performed to estimate risk differences (RDs), 95% CIs, and P values between GPNC and IPNC groups, adjusting for all baseline covariates. Results Of all 2348 participants (mean [SD] age, 25.1 [5.4] years; 952 Black participants [40.5%]; 502 Hispanic participants [21.4%]; 863 White participants [36.8%]), 1176 participants were randomized to the GPNC group and 1174 were randomized to the IPNC group. Among all participants, 2144 (91.3%) completed a GD screening (1072 participants [91.3%] in GPNC vs 1071 [91.2%] in IPNC). Overall, 157 participants (6.7%) developed GD, and there was no difference in GD incidence between the GPNC (83 participants [7.1%]) and IPNC (74 participants [6.3%]) groups, with an adjusted RD of 0.7% (95% CI, -1.2% to 2.7%). Among participants with GD, GPNC did not reduce the risk of progression to A2 GD (adjusted RD, -6.1%; 95% CI, -21.3% to 9.1%), preeclampsia (adjusted RD, -7.9%; 95% CI, -17.8% to 1.9%), cesarean delivery (adjusted RD, -8.2%; 95% CI, -12.2% to 13.9%), and large for gestational age (adjusted RD, -1.2%; 95% CI, -6.1% to 3.8%) compared with IPNC. Conclusions and Relevance In this secondary analysis of a randomized clinical trial among medically low-risk pregnant individuals, the risk of GD was similar between participants who received GPNC intervention and traditional IPNC, indicating that GPNC may be a feasible treatment option for some patients. Trial Registration ClinicalTrials.gov Identifier: NCT02640638.
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Affiliation(s)
- Yixin Chen
- Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles
| | - Amy H. Crockett
- Division of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, Prisma Health, Greenville, South Carolina
- University of South Carolina School of Medicine, Greenville
| | - Jessica L. Britt
- Department of Obstetrics and Gynecology, Prisma Health, Greenville, South Carolina
| | - Lu Zhang
- Department of Public Health Sciences, Clemson University, Clemson, South Carolina
| | - Roch A. Nianogo
- Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles
- California Center for Population Research, Los Angeles
| | - Tianchen Qian
- Department of Statistics, University of California, Irvine
| | - Bin Nan
- Department of Statistics, University of California, Irvine
| | - Liwei Chen
- Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles
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11
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Miron-Celis M, Talarico R, Villeneuve PJ, Crighton E, Stieb DM, Stanescu C, Lavigne É. Critical windows of exposure to air pollution and gestational diabetes: assessing effect modification by maternal pre-existing conditions and environmental factors. Environ Health 2023; 22:26. [PMID: 36918883 PMCID: PMC10015960 DOI: 10.1186/s12940-023-00974-z] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Accepted: 02/17/2023] [Indexed: 06/18/2023]
Abstract
BACKGROUND Ambient air pollution has been associated with gestational diabetes (GD), but critical windows of exposure and whether maternal pre-existing conditions and other environmental factors modify the associations remains inconclusive. METHODS We conducted a retrospective cohort study of all singleton live birth that occurred between April 1st 2006 and March 31st 2018 in Ontario, Canada. Ambient air pollution data (i.e., fine particulate matter with a diameter ≤ 2.5 μm (PM2.5), nitrogen dioxide (NO2) and ozone (O3)) were assigned to the study population in spatial resolution of approximately 1 km × 1 km. The Normalized Difference Vegetation Index (NDVI) and the Green View Index (GVI) were also used to characterize residential exposure to green space as well as the Active Living Environments (ALE) index to represent the active living friendliness. Multivariable Cox proportional hazards regression models were used to evaluate the associations. RESULTS Among 1,310,807 pregnant individuals, 68,860 incident cases of GD were identified. We found the strongest associations between PM2.5 and GD in gestational weeks 7 to 18 (HR = 1.07 per IQR (2.7 µg/m3); 95% CI: 1.02 - 1.11)). For O3, we found two sensitive windows of exposure, with increased risk in the preconception period (HR = 1.03 per IQR increase (7.0 ppb) (95% CI: 1.01 - 1.06)) as well as gestational weeks 9 to 28 (HR 1.08 per IQR (95% CI: 1.04 -1.12)). We found that women with asthma were more at risk of GD when exposed to increasing levels of O3 (p- value for effect modification = 0.04). Exposure to air pollutants explained 20.1%, 1.4% and 4.6% of the associations between GVI, NDVI and ALE, respectively. CONCLUSION An increase of PM2.5 exposure in early pregnancy and of O3 exposure during late first trimester and over the second trimester of pregnancy were associated with gestational diabetes whereas exposure to green space may confer a protective effect.
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Affiliation(s)
- Marcel Miron-Celis
- Air Sectors Assessment and Exposure Science Division, Health Canada, Ottawa, ON, Canada
| | - Robert Talarico
- ICES uOttawa (Formerly Known As Institute for Clinical Evaluative Sciences), Ottawa, ON, Canada
- Ottawa Hospital Research Institute, The Ottawa Hospital, Ottawa, ON, Canada
| | | | - Eric Crighton
- Department of Geography, Environment and Geomatics, University of Ottawa, Ottawa, ON, Canada
| | - David M Stieb
- Population Studies Division, Health Canada, 269 Laurier Avenue West, Ottawa, ON, K1A 0K9, Canada
- School of Epidemiology and Public Health, University of Ottawa, Ottawa, ON, Canada
| | - Cristina Stanescu
- Population Studies Division, Health Canada, 269 Laurier Avenue West, Ottawa, ON, K1A 0K9, Canada
| | - Éric Lavigne
- Population Studies Division, Health Canada, 269 Laurier Avenue West, Ottawa, ON, K1A 0K9, Canada.
- School of Epidemiology and Public Health, University of Ottawa, Ottawa, ON, Canada.
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12
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Jiang L, Tang K, Magee LA, von Dadelszen P, Ekeroma A, Li X, Zhang E, Bhutta ZA. A global view of hypertensive disorders and diabetes mellitus during pregnancy. Nat Rev Endocrinol 2022; 18:760-775. [PMID: 36109676 PMCID: PMC9483536 DOI: 10.1038/s41574-022-00734-y] [Citation(s) in RCA: 45] [Impact Index Per Article: 22.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 07/28/2022] [Indexed: 11/23/2022]
Abstract
Two important maternal cardiometabolic disorders (CMDs), hypertensive disorders in pregnancy (HDP) (including pre-eclampsia) and gestational diabetes mellitus (GDM), result in a large disease burden for pregnant individuals worldwide. A global consensus has not been reached about the diagnostic criteria for HDP and GDM, making it challenging to assess differences in their disease burden between countries and areas. However, both diseases show an unevenly distributed disease burden for regions with a low income or middle income, or low-income and middle-income countries (LMICs), or regions with lower sociodemographic and human development indexes. In addition to many common clinical, demographic and behavioural risk factors, the development and clinical consequences of maternal CMDs are substantially influenced by the social determinants of health, such as systemic marginalization. Although progress has been occurring in the early screening and management of HDP and GDM, the accuracy and long-term effects of such screening and management programmes are still under investigation. In addition to pharmacological therapies and lifestyle modifications at the individual level, a multilevel approach in conjunction with multisector partnership should be adopted to tackle the public health issues and health inequity resulting from maternal CMDs. The current COVID-19 pandemic has disrupted health service delivery, with women with maternal CMDs being particularly vulnerable to this public health crisis.
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Affiliation(s)
- Li Jiang
- Centre for Global Child Health, The Hospital for Sick Children, Toronto, Canada
| | - Kun Tang
- Centre for Global Child Health, The Hospital for Sick Children, Toronto, Canada
- Vanke School of Public Health, Tsinghua University, Beijing, China
| | - Laura A Magee
- Department of Women and Children's Health, School of Life Course Sciences, King's College London, London, UK
| | - Peter von Dadelszen
- Department of Women and Children's Health, School of Life Course Sciences, King's College London, London, UK
| | - Alec Ekeroma
- Department of Obstetrics and Gynecology, Wellington School of Medicine, University of Otago, Wellington, New Zealand
- National University of Samoa, Apia, Samoa
| | - Xuan Li
- Vanke School of Public Health, Tsinghua University, Beijing, China
| | - Enyao Zhang
- Vanke School of Public Health, Tsinghua University, Beijing, China
| | - Zulfiqar A Bhutta
- Centre for Global Child Health, The Hospital for Sick Children, Toronto, Canada.
- Center of Excellence in Women and Child Health, the Aga Khan University, Karachi, Pakistan.
- Institute for Global Health & Development, the Aga Khan University, Karachi, Pakistan.
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13
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Wang X, Li Z, Li W, Li C, Liu J, Lu Y, Fan J, Ren H, Huang L, Wang Z. Gestational diabetes mellitus affects the fucosylation and sialylation levels of N/O-glycans in human milk glycoproteins. Carbohydr Polym 2022; 301:120312. [DOI: 10.1016/j.carbpol.2022.120312] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Revised: 10/24/2022] [Accepted: 11/02/2022] [Indexed: 11/09/2022]
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14
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Alves FCB, de Oliveira RG, Reyes DRA, Garcia GA, Floriano JF, Shetty RHL, Mareco EA, Dal-Pai-Silva M, Payão SLM, de Souza FP, Witkin SS, Sobrevia L, Barbosa AMP, Rudge MVC. Transcriptomic Profiling of Rectus Abdominis Muscle in Women with Gestational Diabetes-Induced Myopathy: Characterization of Pathophysiology and Potential Muscle Biomarkers of Pregnancy-Specific Urinary Incontinence. Int J Mol Sci 2022; 23:12864. [PMID: 36361671 PMCID: PMC9658972 DOI: 10.3390/ijms232112864] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Revised: 10/13/2022] [Accepted: 10/19/2022] [Indexed: 08/27/2023] Open
Abstract
Gestational diabetes mellitus (GDM) is recognized as a "window of opportunity" for the future prediction of such complications as type 2 diabetes mellitus and pelvic floor muscle disorders, including urinary incontinence and genitourinary dysfunction. Translational studies have reported that pelvic floor muscle disorders are due to a GDM-induced-myopathy (GDiM) of the pelvic floor muscle and rectus abdominis muscle (RAM). We now describe the transcriptome profiling of the RAM obtained by Cesarean section from GDM and non-GDM women with and without pregnancy-specific urinary incontinence (PSUI). We identified 650 genes in total, and the differentially expressed genes were defined by comparing three control groups to the GDM with PSUI group (GDiM). Enrichment analysis showed that GDM with PSUI was associated with decreased gene expression related to muscle structure and muscle protein synthesis, the reduced ability of muscle fibers to ameliorate muscle damage, and the altered the maintenance and generation of energy through glycogenesis. Potential genetic muscle biomarkers were validated by RT-PCR, and their relationship to the pathophysiology of the disease was verified. These findings help elucidate the molecular mechanisms of GDiM and will promote the development of innovative interventions to prevent and treat complications such as post-GDM urinary incontinence.
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Affiliation(s)
- Fernanda Cristina Bergamo Alves
- Department of Gynecology and Obstetrics, Botucatu Medical School (FMB), São Paulo State University (UNESP), Botucatu 18618-687, Brazil
| | - Rafael Guilen de Oliveira
- Department of Gynecology and Obstetrics, Botucatu Medical School (FMB), São Paulo State University (UNESP), Botucatu 18618-687, Brazil
| | - David Rafael Abreu Reyes
- Department of Gynecology and Obstetrics, Botucatu Medical School (FMB), São Paulo State University (UNESP), Botucatu 18618-687, Brazil
| | - Gabriela Azevedo Garcia
- Postgraduate Program in Materials Science and Technology (POSMAT), School of Sciences, São Paulo State University (UNESP), Bauru 17033-360, Brazil
| | - Juliana Ferreira Floriano
- Department of Gynecology and Obstetrics, Botucatu Medical School (FMB), São Paulo State University (UNESP), Botucatu 18618-687, Brazil
| | - Raghavendra Hallur Lakshmana Shetty
- Department of Gynecology and Obstetrics, Botucatu Medical School (FMB), São Paulo State University (UNESP), Botucatu 18618-687, Brazil
- Center for Biotechnology, Pravara Institute of Medical Sciences (Deemed to be University), Rahata Taluk, Ahmednagar District, Loni 413736, India
| | - Edson Assunção Mareco
- Environment and Regional Development Graduate Program, University of Western São Paulo (UNOESTE), Presidente Prudente 19050-680, Brazil
| | - Maeli Dal-Pai-Silva
- Department of Structural and Functional Biology, Institute of Biosciences, São Paulo State University (UNESP), Botucatu 18618-689, Brazil
| | | | | | - Steven S. Witkin
- Department of Obstetrics and Gynecology, Weill Cornell Medicine, New York, NY 10065, USA
- Laboratory of Virology, Institute of Tropical Medicine, University of Sao Paulo Faculty of Medicine, São Paulo 05403-000, Brazil
| | - Luis Sobrevia
- Department of Gynecology and Obstetrics, Botucatu Medical School (FMB), São Paulo State University (UNESP), Botucatu 18618-687, Brazil
- Cellular and Molecular Physiology Laboratory (CMPL), Department of Obstetrics, Division of Obstetrics and Gynaecology, School of Medicine, Faculty of Medicine, Pontificia Universidad Católica de Chile, Santiago 8330024, Chile
- Department of Physiology, Faculty of Pharmacy, Universidad de Sevilla, E-41012 Seville, Spain
- Faculty of Medicine and Biomedical Sciences, University of Queensland, Herston, QLD 4029, Australia
- Department of Pathology and Medical Biology, University of Groningen, 9713GZ Groningen, The Netherlands
- Tecnologico de Monterrey, Eutra, The Institute for Obesity Research (IOR), School of Medicine and Health Sciences, Monterrey 64710, Mexico
| | - Angélica Mércia Pascon Barbosa
- Department of Gynecology and Obstetrics, Botucatu Medical School (FMB), São Paulo State University (UNESP), Botucatu 18618-687, Brazil
- Department of Physiotherapy and Occupational Therapy, School of Philosophy and Sciences, São Paulo State University (UNESP), Marilia 17525-900, Brazil
| | - Marilza Vieira Cunha Rudge
- Department of Gynecology and Obstetrics, Botucatu Medical School (FMB), São Paulo State University (UNESP), Botucatu 18618-687, Brazil
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15
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Zhou X, Wang W, Zhong J, Yu W, Tang Y, Shu Q. Biomolecular characterization of placental tissues in gestational diabetes mellitus using Fourier transform infrared microspectroscopy. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2022; 270:120794. [PMID: 34973610 DOI: 10.1016/j.saa.2021.120794] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/17/2021] [Revised: 11/26/2021] [Accepted: 12/19/2021] [Indexed: 06/14/2023]
Abstract
Gestational diabetes mellitus (GDM) is a common complication during pregnancy. It could cause severe side-effect on the mother's and newborn's heath in the short- and long-term. Prevalence has been increasing over time, likely due to increases in mean maternal age and body weight. However, how GDM affects the placenta structure and function are still unclear. Fourier transform infrared microspectroscopy is well suited to study biological samples, such as tissues and cells. Biomolecules of human tissues have characteristic absorptions in mid-infrared range. In this study, Fourier transform infrared microspectroscopy was used to measure unfixed placental tissue sections from women with GDM and matched controls. The molecular composition of different type of placental tissue sections were further analyzed with principle component analysis (PCA) and orthogonal partial least squares-discriminant analysis (OPLS-DA). The major spectral characteristic of biomolecules in GDM placental tissue and control group were compared. The conformational change of lipid chains and higher level of lipid oxidation were found for placental tissues from GDM pregnancies. The increase of proteins β-sheet structures relative to the α-helix structures in the GDM placental tissues were also found. The fingerprint region showed the variances of carbohydrates, nucleic acids and phospholipids between GDM and control group placental tissues. These findings are helpful for understanding how GDM affects placenta's biochemical composition and how GDM causes maternal and fetal metabolism changes. This study also provides a new approach to investigating biomolecular composition of samples from GDM pregnancy through spectroscopic method.
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Affiliation(s)
- Xiaojie Zhou
- National Facility for Protein Science in Shanghai, Shanghai Advanced Research Institute, Chinese Academy of Sciences, No.99, Haike Road, Zhangjiang Hi-Tech Park, Pudong, Shanghai 201210, PR China
| | - Weilin Wang
- Shanghai Key Laboratory of Maternal-Fetal Medicine, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, 2699, West Gaoke Road, Shanghai 201204, PR China; Department of Obstetrics, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, 2699, West Gaoke Road, Shanghai 201204, PR China
| | - Jiajia Zhong
- National Facility for Protein Science in Shanghai, Shanghai Advanced Research Institute, Chinese Academy of Sciences, No.99, Haike Road, Zhangjiang Hi-Tech Park, Pudong, Shanghai 201210, PR China
| | - Wenjie Yu
- National Facility for Protein Science in Shanghai, Shanghai Advanced Research Institute, Chinese Academy of Sciences, No.99, Haike Road, Zhangjiang Hi-Tech Park, Pudong, Shanghai 201210, PR China
| | - Yuzhao Tang
- National Facility for Protein Science in Shanghai, Shanghai Advanced Research Institute, Chinese Academy of Sciences, No.99, Haike Road, Zhangjiang Hi-Tech Park, Pudong, Shanghai 201210, PR China.
| | - Qun Shu
- Shanghai Key Laboratory of Maternal-Fetal Medicine, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, 2699, West Gaoke Road, Shanghai 201204, PR China; Department of Obstetrics, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, 2699, West Gaoke Road, Shanghai 201204, PR China.
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16
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Wang X, Zhang Y, Zheng W, Wang J, Wang Y, Song W, Liang S, Guo C, Ma X, Li G. Dynamic changes and early predictive value of branched-chain amino acids in gestational diabetes mellitus during pregnancy. Front Endocrinol (Lausanne) 2022; 13:1000296. [PMID: 36313758 PMCID: PMC9614652 DOI: 10.3389/fendo.2022.1000296] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/22/2022] [Accepted: 09/20/2022] [Indexed: 11/17/2022] Open
Abstract
OBJECTIVE Branched-chain amino acids (BCAAs) are closely associated with type 2 diabetes mellitus, but their roles in gestational diabetes mellitus (GDM) are still controversial. This study aims to explore the dynamic changes of BCAAs during pregnancy and identify potential early biomarkers for GDM. METHODS This study is a nested case-control study involved 49 women with GDM and 50 age- and body mass index (BMI)-matched healthy pregnant women. The dynamic changes of valine (Val), isoleucine (Ile), and leucine (Leu) were detected in the first (8-12 weeks) and second trimesters (24-28 weeks) by liquid chromatography-mass spectrometry. RESULTS Serum Val, Ile, and Leu were higher in GDM patients than in controls in the first trimester. Compared with the first trimester, the serum Val, Ile, and Leu in GDM patients were decreased in the second trimester. In addition, Val, Ile, and Leu in the first trimester were the risk factors for GDM, and Ile presented a high predictive value for GDM. Ile + age (≥ 35) + BMI (≥ 24) exhibited the highest predictive value for GDM (AUC = 0.902, sensitivity = 93.9%, specificity = 80%). CONCLUSION Maternal serum Ile in the first trimester was a valuable biomarker for GDM. Ile combined with advanced maternal age and overweight may be used for the early prediction of GDM.
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Affiliation(s)
- Xiaoxin Wang
- Department of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing, China
| | - Ya Zhang
- Department of Genetics, National Research Institute for Family Planning, Beijing, China
- Environmental and Spatial Epidemiology Research Center, National Human Genetic Resources Center, Beijing, China
| | - Wei Zheng
- Department of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing, China
| | - Jia Wang
- Department of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing, China
| | - Yuanyuan Wang
- Department of Genetics, National Research Institute for Family Planning, Beijing, China
- Environmental and Spatial Epidemiology Research Center, National Human Genetic Resources Center, Beijing, China
| | - Wei Song
- Department of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing, China
| | - Shengnan Liang
- Department of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing, China
| | - Cuimei Guo
- Department of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing, China
| | - Xu Ma
- Department of Genetics, National Research Institute for Family Planning, Beijing, China
- Environmental and Spatial Epidemiology Research Center, National Human Genetic Resources Center, Beijing, China
- *Correspondence: Xu Ma, ; Guanghui Li,
| | - Guanghui Li
- Department of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing, China
- *Correspondence: Xu Ma, ; Guanghui Li,
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Zanardo V, Tortora D, Sandri A, Severino L, Mesirca P, Straface G. COVID-19 pandemic: Impact on gestational diabetes mellitus prevalence. Diabetes Res Clin Pract 2022; 183:109149. [PMID: 34808282 PMCID: PMC8665826 DOI: 10.1016/j.diabres.2021.109149] [Citation(s) in RCA: 32] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/13/2021] [Revised: 10/29/2021] [Accepted: 11/17/2021] [Indexed: 12/17/2022]
Abstract
AIM Although an increased risk of gestational diabetes mellitus (GDM) has been noted in women exposed to stressful conditions and traumatic events, limited information is available about such risk in the context of the COVID-19 pandemic. METHODS The study was designed as a non-concurrent case-control study on the prevalence of GDM, defined according to IADPSG 2010, in women giving birth during the COVID-19 pandemic in the hot spot of Northeast Italy from March 9th to May 18th, 2020, with an antecedent puerperae-matched group whose women had given birth in 2019. RESULTS Analysis revealed that during the COVID-19 pandemic in 2020, GDM prevalence was significantly higher than in 2019 (GDM, 48/533, 9 vs 86/637, 13.5%, p = 0.01), as illustrated by a higher GDM prevalence in 5/6 months of the final semester of 2020. In addition, logistic regression analysisconfirmed a statistically significant temporal relationship between experiencing the lockdown during the first trimester of gestation and later GDM incidence (t = 2.765, P = 0.012), with an 34% increase in mean number of GDM diagnoses per month (antilog of the parameter = 1.34). CONCLUSION The COVID-19 pandemic negatively impacted GDM prevalence in 2020 compared to 2019, especially for pregnant women in the 1st trimester of gestation.
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Affiliation(s)
- Vincenzo Zanardo
- Division of Perinatal Medicine, Policlinico Abano Terme, Abano Terme, Italy.
| | | | | | - Lorenzo Severino
- Division of Perinatal Medicine, Policlinico Abano Terme, Abano Terme, Italy
| | - Paolo Mesirca
- Division of Perinatal Medicine, Policlinico Abano Terme, Abano Terme, Italy
| | - Gianluca Straface
- Division of Perinatal Medicine, Policlinico Abano Terme, Abano Terme, Italy
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Shashikadze B, Flenkenthaler F, Stöckl JB, Valla L, Renner S, Kemter E, Wolf E, Fröhlich T. Developmental Effects of (Pre-)Gestational Diabetes on Offspring: Systematic Screening Using Omics Approaches. Genes (Basel) 2021; 12:1991. [PMID: 34946940 PMCID: PMC8701487 DOI: 10.3390/genes12121991] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Revised: 12/06/2021] [Accepted: 12/10/2021] [Indexed: 12/27/2022] Open
Abstract
Worldwide, gestational diabetes affects 2-25% of pregnancies. Due to related disturbances of the maternal metabolism during the periconceptional period and pregnancy, children bear an increased risk for future diseases. It is well known that an aberrant intrauterine environment caused by elevated maternal glucose levels is related to elevated risks for increased birth weights and metabolic disorders in later life, such as obesity or type 2 diabetes. The complexity of disturbances induced by maternal diabetes, with multiple underlying mechanisms, makes early diagnosis or prevention a challenging task. Omics technologies allowing holistic quantification of several classes of molecules from biological fluids, cells, or tissues are powerful tools to systematically investigate the effects of maternal diabetes on the offspring in an unbiased manner. Differentially abundant molecules or distinct molecular profiles may serve as diagnostic biomarkers, which may also support the development of preventive and therapeutic strategies. In this review, we summarize key findings from state-of-the-art Omics studies addressing the impact of maternal diabetes on offspring health.
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Affiliation(s)
- Bachuki Shashikadze
- Laboratory for Functional Genome Analysis (LAFUGA), Gene Center, LMU Munich, 81377 Munich, Germany; (B.S.); (F.F.); (J.B.S.)
| | - Florian Flenkenthaler
- Laboratory for Functional Genome Analysis (LAFUGA), Gene Center, LMU Munich, 81377 Munich, Germany; (B.S.); (F.F.); (J.B.S.)
| | - Jan B. Stöckl
- Laboratory for Functional Genome Analysis (LAFUGA), Gene Center, LMU Munich, 81377 Munich, Germany; (B.S.); (F.F.); (J.B.S.)
| | - Libera Valla
- Chair for Molecular Animal Breeding and Biotechnology, Gene Center and Department of Veterinary Sciences, LMU Munich, 81377 Munich, Germany; (L.V.); (S.R.); (E.K.)
| | - Simone Renner
- Chair for Molecular Animal Breeding and Biotechnology, Gene Center and Department of Veterinary Sciences, LMU Munich, 81377 Munich, Germany; (L.V.); (S.R.); (E.K.)
- Center for Innovative Medical Models (CiMM), LMU Munich, 85764 Oberschleißheim, Germany
- German Center for Diabetes Research (DZD), 85764 Neuherberg, Germany
| | - Elisabeth Kemter
- Chair for Molecular Animal Breeding and Biotechnology, Gene Center and Department of Veterinary Sciences, LMU Munich, 81377 Munich, Germany; (L.V.); (S.R.); (E.K.)
- Center for Innovative Medical Models (CiMM), LMU Munich, 85764 Oberschleißheim, Germany
- German Center for Diabetes Research (DZD), 85764 Neuherberg, Germany
| | - Eckhard Wolf
- Laboratory for Functional Genome Analysis (LAFUGA), Gene Center, LMU Munich, 81377 Munich, Germany; (B.S.); (F.F.); (J.B.S.)
- Chair for Molecular Animal Breeding and Biotechnology, Gene Center and Department of Veterinary Sciences, LMU Munich, 81377 Munich, Germany; (L.V.); (S.R.); (E.K.)
- Center for Innovative Medical Models (CiMM), LMU Munich, 85764 Oberschleißheim, Germany
- German Center for Diabetes Research (DZD), 85764 Neuherberg, Germany
| | - Thomas Fröhlich
- Laboratory for Functional Genome Analysis (LAFUGA), Gene Center, LMU Munich, 81377 Munich, Germany; (B.S.); (F.F.); (J.B.S.)
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Martine-Edith G, Johnson W, Hunsicker E, Hamer M, Petherick ES. Associations between maternal characteristics and pharmaceutical treatment of gestational diabetes: an analysis of the UK Born in Bradford (BiB) cohort study. BMJ Open 2021; 11:e053753. [PMID: 34732497 PMCID: PMC8572403 DOI: 10.1136/bmjopen-2021-053753] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
OBJECTIVES To identify the maternal characteristics associated with pharmaceutical treatment of gestational diabetes mellitus (GDM). DESIGN Prospective birth cohort study. SETTING Bradford, UK. PARTICIPANTS 762 women from the Born in Bradford (BiB) cohort who were treated for GDM in a singleton pregnancy. BiB cohort participants were recruited from 2007 to 2010. All women booked for delivery were screened for GDM between 26 and 28 weeks of gestation using a 75 g 2-hour oral glucose tolerance test (OGTT). OUTCOME MEASURE GDM treatment type: lifestyle changes advice (lifestyle changes), lifestyle changes advice with supplementary insulin (insulin) and lifestyle changes advice with supplementary metformin (metformin). RESULTS 244 (32%) women were prescribed lifestyle changes advice alone while 518 (68%) were offered supplemental pharmaceutical treatment. The odds of receiving pharmaceutical treatment relative to lifestyle changes advice alone were increased for mothers who were obese (OR 4.6, 95% CI 2.8 to 7.5), those who smoked (OR 2.6, 95% CI 1.2 to 5.5) and had higher fasting glucose levels at OGTT (OR 2.1, 95% CI 1.6 to 2.7). The odds of being prescribed pharmaceutical treatment rather than lifestyle changes advice were lower for Pakistani women (OR 0.7, 95% CI 0.4 to 1.0)) than White British women. Relative to insulin treatment, metformin was more likely to be offered to obese women than normal weight women (relative risk ratio, RRR 3.2, 95% CI 1.3 to 7.8) and less likely to be prescribed to women with higher fasting glucose concentrations at OGTT (RRR 0.3, 95% CI 0.2 to 0.6). CONCLUSIONS In the BiB cohort, GDM pharmaceutical treatment tended to be prescribed to women who were obese, White British, who smoked and had more severe hyperglycaemia. The characteristics of metformin-treated mothers differed from those of insulin-treated mothers as they were more likely to be obese but had lower glucose concentrations at diagnosis.
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Affiliation(s)
- Gilberte Martine-Edith
- School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, UK
| | - William Johnson
- School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, UK
| | | | - Mark Hamer
- Institute of Sport, Exercise and Health, Division Surgery Interventional Science, University College London, London, UK
| | - Emily S Petherick
- School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, UK
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Li J, Lu L, Xie X, Dai X, Zheng S, Chen L. Proteomics Analysis of Serum Proteins in Gestational Diabetes. EVIDENCE-BASED COMPLEMENTARY AND ALTERNATIVE MEDICINE : ECAM 2021; 2021:4724590. [PMID: 34765001 PMCID: PMC8577917 DOI: 10.1155/2021/4724590] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/02/2021] [Accepted: 10/06/2021] [Indexed: 11/17/2022]
Abstract
OBJECTIVE The purpose of this study was to screen serum proteins for biomarkers of gestational diabetes mellitus (GDM) and to investigate its pathogenesis by analyzing the differences in serum proteomics between pregnant women with GDM and healthy pregnant women. METHODS Patients who were admitted to the First Affiliated Hospital of Fujian Medical University from June 2019 to January 2020 were included. According to the medical history and the results of the 75 g oral glucose tolerance test (OGTT), they were divided into the normal pregnant women group and GDM pregnant women group. The serum of two groups of patients was collected. High performance liquid chromatography-mass spectrometry was used to identify differentially expressed serum proteins between pregnant women with GDM and healthy pregnant women, and bioinformatics analysis was then performed on the identified proteins. RESULTS A total of 1152 quantifiable proteins were detected; among them, 15 were upregulated in serum of GDM pregnant women, while 26 were downregulated. The subsequent parallel reaction monitoring (PRM) assay validated the expression levels of 12 out of 41 differentially expressed proteins. Moreover, bioinformatics analysis revealed that the differentially expressed proteins are involved in multiple biological processes and signaling pathways related to the lipid metabolism, glycan degradation, immune response, and platelet aggregation. CONCLUSIONS This study identified 41 serum proteins with differential expression between pregnant women with GDM and healthy pregnant women, providing new candidate molecules for elucidating GDM pathogenesis and screening therapeutic targets.
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Affiliation(s)
- Jianhua Li
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian 350005, China
| | - Lin Lu
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian 350005, China
| | - Xinping Xie
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian 350005, China
| | - Xiaofeng Dai
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian 350005, China
| | - Shan Zheng
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian 350005, China
| | - Lihong Chen
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian 350005, China
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Byakwaga E, Sekikubo M, Nakimuli A. Level of and factors associated with awareness of gestational diabetes mellitus among pregnant women attending antenatal care at Kawempe National Referral Hospital: a cross sectional study. BMC Pregnancy Childbirth 2021; 21:467. [PMID: 34193058 PMCID: PMC8247146 DOI: 10.1186/s12884-021-03927-x] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2020] [Accepted: 06/02/2021] [Indexed: 11/18/2022] Open
Abstract
Background The burden of Gestational diabetes mellitus (GDM) is significantly increasing worldwide and the disorder causes substantial short term and long-term adverse effects both to the mother and the unborn baby. Public health measures to increase awareness of GDM among pregnant women may aid in prevention of the disease through life style modification, screening, early diagnosis and management but very few studies have assessed awareness of GDM among pregnant women in sub Saharan Africa and none of these are from Uganda. This study therefore sought to evaluate the level of and factors associated with awareness of GDM among pregnant women attending antenatal care at Kawempe National Referral Hospital (KNRH), the busiest obstetric unit in Uganda, so as to assess their health sensitization needs. Methods This was a cross-sectional study. We recruited 403 participants at 30 weeks of gestation and above after giving written informed consent. Systematic sampling was used to select participants and data was collected using pretested interviewer-administered questionnaires. The collected data was entered in Epidata version 4.2 and exported to Stata for analysis. Continuous variables were summarized using mean and standard deviation. Categorical variables were summarized using frequencies and proportions. Factors associated with awareness were assessed at both bivariate and multivariate levels. Results Four hundred three pregnant women were recruited, majority (35.5 %) were between 20 and 24 years and their mean age was 26.6 years. Only 125 (31 %) participants were aware of GDM. Age and educational level were significantly associated with awareness of GDM. Women aged 35 years and above were more likely to be aware of GDM (OR = 2.34 (95 % CI = 1.14–4.81) p = 0.021. Women with primary education or no education were less likely to be aware (OR = 0.48 (CI 0.24–0.96) p = 0.038. Conclusions Awareness of GDM was poor among study participants. There is need to improve the health education programs in order to increase awareness of GDM among women attending ANC at KNRH. Women below 35 years of age and those with primary education or less should be specifically targeted when giving health education sessions so as to increase their awareness of GDM. Supplementary Information The online version contains supplementary material available at 10.1186/s12884-021-03927-x.
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Affiliation(s)
- Elizabeth Byakwaga
- Department of Obstetrics and Gynaecology, School of Medicine, Makerere University College of Health Sciences, Kampala, Uganda
| | - Musa Sekikubo
- Department of Obstetrics and Gynaecology, School of Medicine, Makerere University College of Health Sciences, Kampala, Uganda
| | - Annettee Nakimuli
- Department of Obstetrics and Gynaecology, School of Medicine, Makerere University College of Health Sciences, Kampala, Uganda.
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Chen L, Shi L, Chao MS, Tong X, Wang F. Stressful life events, hypertensive disorders, and high blood sugar during pregnancy. Stress Health 2020; 36:160-165. [PMID: 31714017 DOI: 10.1002/smi.2911] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/29/2019] [Revised: 09/29/2019] [Accepted: 11/04/2019] [Indexed: 01/04/2023]
Abstract
The objective of this study was to examine the association of life events stressors with risk of gestational diabetes mellitus (GDM) and hypertensive disorders of pregnancy (HDP) by using the multilevel sample from the 2007 Los Angeles Mommy and Baby (LAMB) survey. Four multilevel logistic regression models were applied while accounting for the multilevel design of the LAMB study. The following demographic variables were used as covariates: maternal age, race/ethnicity, maternal educational attainment, household income level in the previous year, physical exercise, and prepregnancy body weight status. The scale for total number of stressors was positively associated with GDM in Model 1, but the association did not reach the significance threshold of 0.05. In Model 2 where four specific domains of stressors (financial, traumatic, spousal, and emotional stressors) were used as the key exposure variables, the number of financial stressors during pregnancy was significantly associated with a higher risk of GDM. The scale for total number of stressors was associated with HDP in Model 3. Experience of financial stressors during pregnancy was significantly associated with a higher risk of HDP in Model 4. In conclusion, exposure to higher number of financial stressors was associated with an elevated risk of GDM and HDP.
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Affiliation(s)
- Liwei Chen
- Department of Epidemiology, University of California, Los Angeles, California
| | - Lu Shi
- Department of Public Health Sciences, Clemson University, Clemson, South Carolina
| | - Margaret Shin Chao
- Maternal, Child, and Adolescent Health Programs, Los Angeles County Department of Public Health, Los Angeles, California
| | - Xia Tong
- Department of Obstetrics, The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Fan Wang
- Department of Obstetrics, The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
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Chen L, Shi L, Zhang D, Chao SM. Influence of Acculturation on Risk for Gestational Diabetes Among Asian Women. Prev Chronic Dis 2019; 16:E158. [PMID: 31808419 PMCID: PMC6896832 DOI: 10.5888/pcd16.190212] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
Introduction Asian women have a higher prevalence of gestational diabetes mellitus than women of other races/ethnicities. We aimed to compare the prevalence of gestational diabetes among Asian American women to other racial/ethnic groups and explore whether the higher occurrence of the disorder among Asian women can be explained by acculturation. Methods We conducted a population-based, cross-sectional study among 5,562 women who participated in the 2007 Los Angeles Mommy and Baby Study (LAMB) in Los Angeles County, California. All women included in this study had a live delivery in 2007 and did not have pre-pregnancy type I or II diabetes. We applied multivariate, weighted logistic regressions to compare gestational diabetes prevalence among racial/ethnic groups, adjusting for its known risk factors. We conducted mediation analysis to test whether the difference in prevalence across racial/ethnic groups could be explained by acculturation. Results Among the 5,562 women studied, the weighted prevalence of gestational diabetes was 15.5% among Asian American women, followed by 9.0% among non-Hispanic black women, 10.7% among Hispanic women, and 7.9% among non-Hispanic white women. Compared with non-Hispanic white women, Asian women had 2.44 (95% confidence interval [CI], 1.81–3.29; P < .001) times the odds of having gestational diabetes, independent of maternal age, education, marital status, income, prenatal care adequacy, prepregnancy BMI, and physical activity. Acculturation was negatively associated with having gestational diabetes (odds ratio [OR] = 0.93; 95% CI, 0.86–0.99) and explained 15.9% (95% CI, 11.38%–25.08%; P < .001) of the association between Asian race and the condition. Conclusion We found that Asian race was an independent risk factor for gestational diabetes, and higher acculturation may play a protective role against it in Asian American women.
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Affiliation(s)
- Liwei Chen
- Department of Epidemiology, Fielding School of Public Health, University of California Los Angeles, Los Angeles, California
| | - Lu Shi
- Department of Public Health Sciences, Clemson University, Clemson, SC 29634-0745.
| | - Donglan Zhang
- Department of Health Policy and Management, University of Georgia, Athens, Georgia
| | - Shin Margaret Chao
- Department of Public Health Los Angeles County, Maternal, Child, and Adolescent Health Programs, Los Angeles, California
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Akbas M, Koyuncu FM, Oludag Mete T, Taneli F, Ozdemir H, Yilmaz O. Serum levels of spexin are increased in the third trimester pregnancy with gestational diabetes mellitus. Gynecol Endocrinol 2019; 35:1050-1053. [PMID: 31109216 DOI: 10.1080/09513590.2019.1616690] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
Spexin is a peptide that is involved in energy homeostasis and its expression is influenced by altered glucose metabolism. Gestational diabetes mellitus (GDM) is associated with increased insulin resistance (IR) and pregnancy is a progressive insulin resistant state. We hypothesized that spexin may have an effect on the pathophysiology of GDM which further could help to identify the disease. The aim of this study was to investigate spexin levels in the third trimester pregnancies with GDM and healthy controls. Thirty-nine women with GDM and 39 healthy singleton pregnancies were enrolled in this case-control study. Serum spexin concentrations were measured and correlated to biochemical and clinical parameters. Serum spexin levels were significantly higher in women with GDM (3686.25 ± 348.37 vs. 3472.33 ± 293.93 pg/ml, p=.004). Spexin levels did not differ significantly according to treatment modality. Moreover, spexin levels were significantly positively correlated with homeostasis model assessment of IR (HOMA-IR). Spexin levels were significantly higher in women with GDM and closely related to HOMA-IR in the third trimester pregnancy. This may help to better clarify the pathophysiological role of spexin in GDM.
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Affiliation(s)
- Murat Akbas
- Department of Obstetrics and Gynecology, Perinatology Division, Manisa Celal Bayar University, Manisa, Turkey
| | - Faik Mumtaz Koyuncu
- Department of Obstetrics and Gynecology, Perinatology Division, Manisa Celal Bayar University, Manisa, Turkey
| | - Tulay Oludag Mete
- Department of Obstetrics and Gynecology, Perinatology Division, Manisa Celal Bayar University, Manisa, Turkey
| | - Fatma Taneli
- Department of Clinical Biochemistry, Manisa Celal Bayar University, Manisa, Turkey
| | - Habib Ozdemir
- Department of Clinical Biochemistry, Manisa Celal Bayar University, Manisa, Turkey
| | - Ozgur Yilmaz
- Department of Obstetrics and Gynecology, Manisa State Hospital, Manisa, Turkey
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Abreu LRS, Shirley MK, Castro NP, Euclydes VV, Bergamaschi DP, Luzia LA, Cruz AM, Rondó PHC. Gestational diabetes mellitus, pre-pregnancy body mass index, and gestational weight gain as risk factors for increased fat mass in Brazilian newborns. PLoS One 2019; 14:e0221971. [PMID: 31465493 PMCID: PMC6715169 DOI: 10.1371/journal.pone.0221971] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2019] [Accepted: 08/15/2019] [Indexed: 01/05/2023] Open
Abstract
BACKGROUND Gestational diabetes mellitus (GDM) is a common complication of pregnancy. It may predispose offspring to increased fat mass (FM) and the development of obesity, however few data from Latin America exist. OBJECTIVE To investigate the influence of GDM on newborn FM in mother-newborn pairs recruited from a public maternity care center in São Paulo, Brazil. METHODS Data were collected cross-sectionally in 2013-2014 from 72 mothers diagnosed with GDM, and 211 mothers with normal glucose tolerance (NGT). Newborn FM was evaluated by air-displacement plethysmography (PEA POD), and relevant demographic and obstetric data were collected from hospital records. Associations between maternal GDM status and newborn FM were investigated by multiple linear regression analysis, with adjustment for maternal age, pre-pregnancy BMI, gestational weight gain, type of delivery, sex of the child, and gestational age. RESULTS FM was greater in GDM versus NGT newborns in a bivariable model (Median (IQR), GDM: 0.35 (0.3) kg vs. NGT: 0.27 (0.2) kg, p = 0.02), however GDM status was not a significant predictor of FM with adjustment for other variables. Rather, pre-pregnancy BMI (coefficient (β) 1.46; 95% confidence interval (CI) 0.66, 2.27), gestational weight gain (β 1.32; 95% CI 0.49, 2.15), and male sex (β -17.8; 95% CI -27.2, -8.29) predicted newborn FM. Analyzing GDM and NGT groups separately, pre-pregnancy BMI (β 6.75; 95% CI 2.36, 11.1) and gestational weight gain (β 5.64; 95% CI 1.16, 10.1) predicted FM in the GDM group, while male sex alone predicted FM in the NGT group (β -12.3; 95% CI -18.3, -6.34). CONCLUSIONS Combined model results suggest that in our cohort, pre-pregnancy BMI and gestational weight gain are more important risk factors for increased neonatal FM than GDM. However, group-specific model results suggest that GDM status may contribute to variation in the relationship between maternal/offspring factors and FM. Our use of a binary GDM variable in the combined model may have precluded clearer results on this point. Prospective cohort studies including data on maternal pre-pregnancy BMI, GWG, and glycemic profile are needed to better understand associations among these variables and their relative influence on offspring FM.
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Affiliation(s)
- Laísa R. S. Abreu
- Nutrition Department, School of Public Health, University of São Paulo, São Paulo, SP, Brazil
| | - Meghan K. Shirley
- Nutrition Department, School of Public Health, University of São Paulo, São Paulo, SP, Brazil
- * E-mail:
| | - Natália P. Castro
- Nutrition Department, School of Public Health, University of São Paulo, São Paulo, SP, Brazil
| | - Verônica V. Euclydes
- Nutrition Department, School of Public Health, University of São Paulo, São Paulo, SP, Brazil
| | - Denise P. Bergamaschi
- Epidemiology Department, School of Public Health, University of São Paulo, São Paulo, SP, Brazil
| | - Liania A. Luzia
- Nutrition Department, School of Public Health, University of São Paulo, São Paulo, SP, Brazil
| | - Ana M. Cruz
- Geraldo de Paula Souza Health Center, School of Public Health, University of São Paulo, São Paulo, SP, Brazil
| | - Patrícia H. C. Rondó
- Nutrition Department, School of Public Health, University of São Paulo, São Paulo, SP, Brazil
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Endogenous SHBG levels correlate with that of glucose transporters in insulin resistance model cells. Mol Biol Rep 2019; 46:4953-4965. [DOI: 10.1007/s11033-019-04946-w] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2019] [Accepted: 06/26/2019] [Indexed: 12/27/2022]
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Simon C, Greening DW, Bolumar D, Balaguer N, Salamonsen LA, Vilella F. Extracellular Vesicles in Human Reproduction in Health and Disease. Endocr Rev 2018; 39:292-332. [PMID: 29390102 DOI: 10.1210/er.2017-00229] [Citation(s) in RCA: 128] [Impact Index Per Article: 21.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/13/2017] [Accepted: 01/25/2018] [Indexed: 02/07/2023]
Abstract
Extensive evidence suggests that the release of membrane-enclosed compartments, more commonly known as extracellular vesicles (EVs), is a potent newly identified mechanism of cell-to-cell communication both in normal physiology and in pathological conditions. This review presents evidence about the formation and release of different EVs, their definitive markers and cargo content in reproductive physiological processes, and their capacity to convey information between cells through the transfer of functional protein and genetic information to alter phenotype and function of recipient cells associated with reproductive biology. In the male reproductive tract, epididymosomes and prostasomes participate in regulating sperm motility activation, capacitation, and acrosome reaction. In the female reproductive tract, follicular fluid, oviduct/tube, and uterine cavity EVs are considered as vehicles to carry information during oocyte maturation, fertilization, and embryo-maternal crosstalk. EVs via their cargo might be also involved in the triggering, maintenance, and progression of reproductive- and obstetric-related pathologies such as endometriosis, polycystic ovarian syndrome, preeclampsia, gestational diabetes, and erectile dysfunction. In this review, we provide current knowledge on the present and future use of EVs not only as biomarkers, but also as therapeutic targeting agents, mainly as vectors for drug or compound delivery into target cells and tissues.
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Affiliation(s)
- Carlos Simon
- Igenomix Foundation, Valencia, Spain.,Instituto de Investigación Sanitaria Hospital Clínico (INCLIVA), Valencia, Spain.,Department of Pediatrics, Obstetrics and Gynecology, School of Medicine, Valencia University, Valencia, Spain.,Department of Obstetrics and Gynecology, Stanford University, Palo Alto, California
| | - David W Greening
- Department of Biochemistry and Genetics, La Trobe Institute for Molecular Science, La Trobe University, Melbourne, Victoria, Australia
| | - David Bolumar
- Igenomix Foundation, Valencia, Spain.,Instituto de Investigación Sanitaria Hospital Clínico (INCLIVA), Valencia, Spain
| | - Nuria Balaguer
- Igenomix Foundation, Valencia, Spain.,Instituto de Investigación Sanitaria Hospital Clínico (INCLIVA), Valencia, Spain
| | - Lois A Salamonsen
- Centre for Reproductive Health, Hudson Institute of Medical Research, Clayton, Victoria, Australia.,Department of Molecular and Translational Science, Monash University, Clayton, Victoria, Australia.,Department of Obstetrics and Gynaecology, Monash University, Clayton, Victoria, Australia
| | - Felipe Vilella
- Igenomix Foundation, Valencia, Spain.,Instituto de Investigación Sanitaria Hospital Clínico (INCLIVA), Valencia, Spain.,Department of Obstetrics and Gynecology, Stanford University, Palo Alto, California
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Janevic T, Zeitlin J, Egorova N, Balbierz A, Howell EA. The role of obesity in the risk of gestational diabetes among immigrant and U.S.-born women in New York City. Ann Epidemiol 2018; 28:242-248. [PMID: 29501220 PMCID: PMC5875722 DOI: 10.1016/j.annepidem.2018.02.006] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2017] [Revised: 02/12/2018] [Accepted: 02/12/2018] [Indexed: 01/08/2023]
Abstract
PURPOSE To examine if the role of obesity in the risk of gestational diabetes differs between immigrant and U.S.-born women. METHODS We used New York City-linked 2010-2014 birth certificate and hospital data. We created four racial/ethnic groups (non-Hispanic black, Hispanic, non-Hispanic white, and Asian) and three subgroups (Mexican, Indian, and Chinese). Gestational diabetes mellitus (GDM) was ascertained by the birth certificate checkbox and discharge ICD-9 codes. We calculated relative risks for immigrant status and body mass index with GDM using covariate-adjusted log-binomial regression. We calculated multivariable population attributable risk to estimate the proportion of GDM that could be eliminated if overweight/obesity were eliminated by immigrant status. RESULTS Immigrant women had higher risk of GDM than U.S.-born women, with adjusted relative risks ranging from 1.2 among non-Hispanic black women (95% confidence interval, 1.2-1.3) to 1.6 among Hispanic women (95% confidence interval, 1.4-1.8). Increasing body mass index was associated with GDM risk in all groups, but relative risks were weaker among immigrants (P for interaction <.05). The population attributable risk for overweight/obesity was lower in immigrant women than in U.S.-born women in all racial/ethnic groups. CONCLUSIONS The lower proportion of GDM attributable to overweight/obesity among immigrant women may point to early life and migration influences on risk of GDM.
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Affiliation(s)
- Teresa Janevic
- Department of Obstetrics, Gynecology, and Reproductive Science, Icahn School of Medicine at Mount Sinai, New York, NY; Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY; Women's Health Research Institute, Icahn School of Medicine at Mount Sinai, New York, NY.
| | - Jennifer Zeitlin
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY; Inserm UMR 1153, Obstetrical, Perinatal and Pediatric Epidemiology Research Team (Epopé), Center for Epidemiology and Biostatistics Sorbonne Paris Cité, DHU Risks in Pregnancy, Paris Descartes University, Paris, France
| | - Natalia Egorova
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Amy Balbierz
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Elizabeth A Howell
- Department of Obstetrics, Gynecology, and Reproductive Science, Icahn School of Medicine at Mount Sinai, New York, NY; Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY; Women's Health Research Institute, Icahn School of Medicine at Mount Sinai, New York, NY
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Chen Q, Yang H, Feng Y, Zhang P, Wu W, Li S, Thompson B, Wang X, Peng T, Wang F, Xie B, Guo P, Li M, Wang Y, Zhao N, Wang S, Zhang Y. SOS1 gene polymorphisms are associated with gestational diabetes mellitus in a Chinese population: Results from a nested case-control study in Taiyuan, China. Diab Vasc Dis Res 2018; 15:158-161. [PMID: 29233017 DOI: 10.1177/1479164117745260] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
Gestational diabetes mellitus is a growing public health concern due to its large disease burden; however, the underlying pathophysiology remains unclear. Therefore, we examined the relationship between 107 single-nucleotide polymorphisms in insulin signalling pathway genes and gestational diabetes mellitus risk using a nested case-control study. The SOS1 rs7598922 GA and AA genotype were statistically significantly associated with reduced gestational diabetes mellitus risk ( ptrend = 0.0006) compared with GG genotype. At the gene level, SOS1 was statistically significantly associated with gestational diabetes mellitus risk after adjusting for multiple comparisons. Moreover, AGGA and GGGG haplotypes in SOS1 gene were associated with reduced risk of gestational diabetes mellitus. Our study provides evidence for an association between the SOS1 gene and risk of gestational diabetes mellitus; however, its role in the pathogenesis of gestational diabetes mellitus will need to be verified by further studies.
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Affiliation(s)
- Qiong Chen
- 1 Department of Epidemiology, College of Public Health, Shanxi Medical University, Taiyuan, China
- 2 Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou, China
| | - Hailan Yang
- 3 Department of Obstetrics, The First Affiliated Hospital, Shanxi Medical University, Taiyuan, China
| | - Yongliang Feng
- 1 Department of Epidemiology, College of Public Health, Shanxi Medical University, Taiyuan, China
| | - Ping Zhang
- 1 Department of Epidemiology, College of Public Health, Shanxi Medical University, Taiyuan, China
| | - Weiwei Wu
- 1 Department of Epidemiology, College of Public Health, Shanxi Medical University, Taiyuan, China
| | - Shuzhen Li
- 4 Department of Information, The First Affiliated Hospital, Shanxi Medical University, Taiyuan, China
| | - Brian Thompson
- 5 Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT, USA
| | - Xin Wang
- 6 Center for Disease Control and Prevention, Taiyuan Railway Administration, Taiyuan, China
| | - Tingting Peng
- 1 Department of Epidemiology, College of Public Health, Shanxi Medical University, Taiyuan, China
| | - Fang Wang
- 1 Department of Epidemiology, College of Public Health, Shanxi Medical University, Taiyuan, China
| | - Bingjie Xie
- 1 Department of Epidemiology, College of Public Health, Shanxi Medical University, Taiyuan, China
| | - Pengge Guo
- 1 Department of Epidemiology, College of Public Health, Shanxi Medical University, Taiyuan, China
| | - Mei Li
- 1 Department of Epidemiology, College of Public Health, Shanxi Medical University, Taiyuan, China
| | - Ying Wang
- 1 Department of Epidemiology, College of Public Health, Shanxi Medical University, Taiyuan, China
| | - Nan Zhao
- 5 Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT, USA
| | - Suping Wang
- 1 Department of Epidemiology, College of Public Health, Shanxi Medical University, Taiyuan, China
| | - Yawei Zhang
- 1 Department of Epidemiology, College of Public Health, Shanxi Medical University, Taiyuan, China
- 5 Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT, USA
- 7 Department of Surgery, Yale School of Medicine, New Haven, CT, USA
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Abstract
Globally, the number of people with diabetes mellitus has quadrupled in the past three decades, and diabetes mellitus is the ninth major cause of death. About 1 in 11 adults worldwide now have diabetes mellitus, 90% of whom have type 2 diabetes mellitus (T2DM). Asia is a major area of the rapidly emerging T2DM global epidemic, with China and India the top two epicentres. Although genetic predisposition partly determines individual susceptibility to T2DM, an unhealthy diet and a sedentary lifestyle are important drivers of the current global epidemic; early developmental factors (such as intrauterine exposures) also have a role in susceptibility to T2DM later in life. Many cases of T2DM could be prevented with lifestyle changes, including maintaining a healthy body weight, consuming a healthy diet, staying physically active, not smoking and drinking alcohol in moderation. Most patients with T2DM have at least one complication, and cardiovascular complications are the leading cause of morbidity and mortality in these patients. This Review provides an updated view of the global epidemiology of T2DM, as well as dietary, lifestyle and other risk factors for T2DM and its complications.
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Affiliation(s)
- Yan Zheng
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, 2005 Songhu Road, Shanghai, China
- Department of Nutrition, Harvard T.H. Chan School of Public Health, 2005 Songhu Road, Shanghai, China
| | - Sylvia H Ley
- Department of Nutrition, Harvard T.H. Chan School of Public Health, 2005 Songhu Road, Shanghai, China
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, 181 Longwood Avenue, Boston, Massachusetts 02115, USA
| | - Frank B Hu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, 2005 Songhu Road, Shanghai, China
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, 665 Huntington Avenue, Boston, Massachusetts 02115, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, 181 Longwood Avenue, Boston, Massachusetts 02115, USA
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31
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Al-Daghri NM, Al-Hazmi HA, Al-Ajlan A, Masoud MS, Al-Amro A, Al-Ghamdi A, Alnaami AM, Al-Attas OS, Alokail MS. Associations of Spexin and cardiometabolic parameters among women with and without gestational diabetes mellitus. Saudi J Biol Sci 2018; 25:710-714. [PMID: 29740234 PMCID: PMC5936879 DOI: 10.1016/j.sjbs.2018.01.002] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2017] [Revised: 01/06/2018] [Accepted: 01/15/2018] [Indexed: 01/02/2023] Open
Abstract
Spexin (SPX) is a novel biomarker abundantly expressed in several animal and human tissues implicated in food intake and glucose control, respectively. As new roles for SPX are emerging, the present study explored for the first time, the associations of SPX to several cardiometabolic indices and inflammatory markers in pregnant women, a demographic not yet investigated with respect to SPX. A total of 117 Saudi women subdivided to those with gestational diabetes mellitus (GDM) (N = 63) and those without (N = 54) were included in this cross-sectional study. Anthropometry, glycemic, lipid, vitamin D, adipocytokines and inflammatory markers were measured consecutively at baseline and after the 2nd and 3rd trimesters. Age- and BMI adjusted comparisons revealed that levels of SPX were not significantly different in pregnant women with and without GDM. In all subjects, circulating levels of SPX showed modest associations with glucose (R = 0.18; p = .08) and HOMA β (R = −0.19; p = .09) as well as significant positive associations with total cholesterol (R = 0.25; p = .02), LDL-cholesterol (R = 0.25; p = .02), 25(OH)D (R = 0.22; p = .04), albumin (R = 0.30; p < .01) and IL1β (R = 0.41; p < .01). Stepwise regression analysis also suggested that IL1β, leptin and albumin were the significant predictors of SPX. In summary, SPX levels modestly affect glucose and insulin sensitivity in pregnant women but is not associated with GDM and obesity. The significant association of SPX to ILβ warrants further investigation as to the role of SPX in immune modulation.
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Affiliation(s)
- Nasser M Al-Daghri
- Prince Mutaib Chair for Biomarkers of Osteoporosis, Biochemistry Department, College of Science, King Saud University, Riyadh 11451, Saudi Arabia
| | - Hazim A Al-Hazmi
- Prince Mutaib Chair for Biomarkers of Osteoporosis, Biochemistry Department, College of Science, King Saud University, Riyadh 11451, Saudi Arabia
| | - Abdulrahman Al-Ajlan
- Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, King Saud University, PO Box 10219, Riyadh 11433, Saudi Arabia
| | - Mohammad S Masoud
- Prince Mutaib Chair for Biomarkers of Osteoporosis, Biochemistry Department, College of Science, King Saud University, Riyadh 11451, Saudi Arabia
| | - Abeer Al-Amro
- Biochemistry Department,College of Science,King Saud University, Riyadh 11451, Saudi Arabia
| | - Amani Al-Ghamdi
- Biochemistry Department,College of Science,King Saud University, Riyadh 11451, Saudi Arabia
| | - Abdullah M Alnaami
- Prince Mutaib Chair for Biomarkers of Osteoporosis, Biochemistry Department, College of Science, King Saud University, Riyadh 11451, Saudi Arabia
| | - Omar S Al-Attas
- Prince Mutaib Chair for Biomarkers of Osteoporosis, Biochemistry Department, College of Science, King Saud University, Riyadh 11451, Saudi Arabia
| | - Majed S Alokail
- Prince Mutaib Chair for Biomarkers of Osteoporosis, Biochemistry Department, College of Science, King Saud University, Riyadh 11451, Saudi Arabia
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32
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Coe DP, Conger SA, Kendrick JM, Howard BC, Thompson DL, Bassett DR, White JD. Postprandial walking reduces glucose levels in women with gestational diabetes mellitus. Appl Physiol Nutr Metab 2017; 43:531-534. [PMID: 29272606 DOI: 10.1139/apnm-2017-0494] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
The purpose of this study was to investigate blood glucose changes, as measured by a continuous glucose monitoring system, that occur in women with gestational diabetes mellitus (GDM) following an acute bout of moderate-intensity walking after consuming a high-carbohydrate/low-fat meal. This study found that moderate-intensity walking induced greater postprandial glucose control compared with sedentary activity and it appears that moderate-intensity activity may be used to reduce postprandial glucose levels in women with GDM.
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Affiliation(s)
- Dawn P Coe
- a Department of Kinesiology, Recreation, and Sport Studies, University of Tennessee, Knoxville, Knoxville, TN 37996-2700, USA
| | - Scott A Conger
- b Department of Kinesiology, Boise State University, Boise, ID 83725, USA
| | - Jo M Kendrick
- c Department of Obstetrics and Gynecology, The University of Tennessee Graduate School of Medicine, Knoxville, Knoxville, TN 37920, USA
| | - Bobby C Howard
- c Department of Obstetrics and Gynecology, The University of Tennessee Graduate School of Medicine, Knoxville, Knoxville, TN 37920, USA
| | - Dixie L Thompson
- a Department of Kinesiology, Recreation, and Sport Studies, University of Tennessee, Knoxville, Knoxville, TN 37996-2700, USA
| | - David R Bassett
- a Department of Kinesiology, Recreation, and Sport Studies, University of Tennessee, Knoxville, Knoxville, TN 37996-2700, USA
| | - Jennifer D White
- a Department of Kinesiology, Recreation, and Sport Studies, University of Tennessee, Knoxville, Knoxville, TN 37996-2700, USA
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