RESUMEN
Antibiotic resistome has emerged as a global threat to public health. However, gestational antibiotic resistome and potential link with adverse pregnancy outcomes remains poorly understood. Our study reports for the first time an association between gut antibiotic resistome during early pregnancy and the risk of gestational diabetes mellitus (GDM) based on a prospective nested case-control cohort including 120 cases and 120 matched controls. A total of 214 antibiotic resistance gene (ARG) subtypes belonging to 17 ARG types were identified in > 10 % fecal samples collected during each trimester. The data revealed dynamic profiles of gut antibiotic resistome through pregnancy, and significant positive associations between selected features (i.e., ARG abundances and a GDM-ARG score which is a new feature characterizing the association between ARGs and GDM) of gut antibiotic resistome during early pregnancy and GDM risk as well as selected endogenous metabolites. The findings demonstrate ubiquitous presence of ARGs in pregnant women and suggest it could constitute an important risk factor for the development of GDM.
RESUMEN
BACKGROUND: Inconsistent associations between antenatal depression and fetal birth weight were reported previously, and little is known about the dynamic changes and long-term cumulative effect of antenatal depression during pregnancy. METHODS: Participants were from the Tongji-Huaxi-Shuangliu Birth Cohort. Depressive symptoms were measured using the Edinburgh Postnatal Depression Scale in early, middle, and late pregnancy respectively. Trajectories of antenatal depression were assessed using the latent class mixed model. The percentage of days with depression (PDD) and frequency of antenatal depression were measured to assess the cumulative exposure. Multivariable logistic regression models were used to evaluate the associations of antenatal depression with macrosomia and large for gestational age (LGA). RESULTS: We identified four distinct trajectories, including the low stable group (n = 1,327, 27.99 %), the moderate stable group (n = 2,610, 55.05 %), the peak group (n = 407, 8.58 %), and the valley group (n = 397, 8.37 %). Compared with the low stable group, the valley group showed a higher risk of macrosomia (OR, 1.98; 95 % CI, 1.17, 3.38) and LGA (OR, 1.44; 95 % CI, 1.002, 2.09); the peak group showed a higher risk of LGA (OR, 1.52; 95 % CI, 1.07, 2.16), but the association was not significant for macrosomia (OR, 1.47; 95 % CI, 0.85, 2.55). Consistently, cumulative antenatal depression was also positively associated with the risks of macrosomia and LGA. LIMITATION: The antenatal depression was self-reported using a screening scale and information bias could not be ruled out. CONCLUSION: Certain trajectories and cumulative exposure of antenatal depression were associated with higher risks of high birth weight.
Asunto(s)
Peso al Nacer , Depresión , Macrosomía Fetal , Complicaciones del Embarazo , Humanos , Femenino , Embarazo , Adulto , Macrosomía Fetal/epidemiología , Complicaciones del Embarazo/epidemiología , Complicaciones del Embarazo/psicología , Depresión/epidemiología , Depresión/psicología , China/epidemiología , Recién Nacido , Factores de Riesgo , Estudios de Cohortes , Modelos Logísticos , Escalas de Valoración Psiquiátrica , Trastorno Depresivo/epidemiología , Trastorno Depresivo/psicologíaRESUMEN
OBJECTIVE: This study aimed to examine prospective associations of different intensity levels and types of physical activity (PA) in early pregnancy with premature rupture of membranes (PROM) among Chinese pregnant women. METHODS: A total of 6284 pregnant women were included from the Tongji-Shuangliu Birth Cohort. Household/caregiving, occupational, sports/exercise and transportation activities during early pregnancy were investigated by the pregnancy physical activity questionnaire (PPAQ), and the diagnosis of PROM was ascertained during the whole pregnancy. Multivariate logistic regression models were used to estimate the odds ratios (ORs) and 95% confidence interval (CI) for the associations between PA and PROM. RESULTS: Among the 6284 pregnant women, 1246 were identified to have PROM (19.8%). Women undertaking the highest level (3 third tertile) of PA during pregnancy appeared to have a lower risk of PROM [OR = 0.68, 95%CI 0.58-0.80) when compared to those at the lowest tertile of PA. Similarly, women with increased levels of light intensity activity, moderate-vigorous intensive, household/caregiving activity and meeting exercise guidelines during pregnancy were associated with reduced risks of PROM (OR = 0.69, 95% CI 0.59-0.81, OR = 0.70, 95% CI 0.60-0.82, OR = 0.62, 95% CI 0.53-0.73 and OR = 0.82, 95% CI 0.70-0.97, respectively). CONCLUSIONS: High levels of PA of different intensities and PA of household/caregiving activities and meeting exercise guidelines during the first trimester were associated with a lower incidence of PROM. TRIAL REGISTRATION: The data of human participants in this study were conducted in accordance with the Helsinki Declaration. This study has been approved by the Ethics Committee of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China ([2017] No. S225). All participants provided written informed consent prior to enrollment. A statement to confirm that all methods were carried out in accordance with relevant guidelines and regulations.
Asunto(s)
Ejercicio Físico , Rotura Prematura de Membranas Fetales , Primer Trimestre del Embarazo , Humanos , Femenino , Embarazo , Adulto , Rotura Prematura de Membranas Fetales/epidemiología , China , Estudios Prospectivos , Cohorte de Nacimiento , Adulto Joven , Encuestas y Cuestionarios , Factores de Riesgo , Estudios de Cohortes , Pueblos del Este de AsiaRESUMEN
BACKGROUND AND AIMS: Our study examined the trends of cardiovascular health metrics in individuals with coronary heart disease (CHD) and their associations with all-cause and cardiovascular disease mortality in the US. METHODS AND RESULTS: The cohort study was conducted based on the National Health and Nutrition Examination Survey 1999-2018 and their linked mortality files (through 2019). Baseline CHD was defined as a composite of self-reported doctor-diagnosed coronary heart disease, myocardial infarction, and angina pectoris. Cardiovascular health metrics were assessed according to the American Heart Association recommendations. Long-term all-cause and cardiovascular disease mortality were the primary outcomes. Survey-adjusted Cox regression models were used to estimate hazard ratios and corresponding 95% confidence intervals for the associations between cardiovascular health metrics and all-cause and cardiovascular disease mortality. The prevalence of one or fewer ideal cardiovascular health metrics increased from 14.15% to 22.79% (P < 0.001) in CHD, while the prevalence of more than four ideal cardiovascular health metrics decreased from 21.65% to 15.70 % (P < 0.001) from 1999 to 2018, respectively. Compared with CHD participants with one or fewer ideal cardiovascular health metrics, those with four or more ideal cardiovascular health metrics had a 35% lower risk (hazard ratio, 0.65; 95% confidence interval: 0.51, 0.82) and a 44% lower risk (0.56; 0.38, 0.84) in all-cause and cardiovascular disease mortality, respectively. CONCLUSION: Substantial declines were noted in ideal cardiovascular health metrics in US adults with CHD. A higher number of cardiovascular health metrics was associated with lower all-cause and cardiovascular disease mortality in them.
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Causas de Muerte , Enfermedad Coronaria , Encuestas Nutricionales , Humanos , Masculino , Femenino , Estados Unidos/epidemiología , Persona de Mediana Edad , Enfermedad Coronaria/mortalidad , Enfermedad Coronaria/diagnóstico , Enfermedad Coronaria/epidemiología , Factores de Tiempo , Anciano , Medición de Riesgo , Adulto , Pronóstico , Estado de Salud , Prevalencia , Factores Protectores , Factores de Riesgo , Factores de Riesgo de Enfermedad Cardiaca , Indicadores de Salud , Conducta de Reducción del RiesgoRESUMEN
BACKGROUND AND AIMS: Since the global burden of chronic kidney disease (CKD) is rising rapidly, the study aimed to assess the association of cardiovascular health (CVH) metrics with all-cause and cardiovascular disease (CVD) mortality among individuals with CKD. METHODS AND RESULTS: The cohort study included 5834 participants with CKD from the National Health and Nutrition Examination Survey 1999-2018. A composite CVH score was calculated based on smoking status, physical activity, body mass index, blood pressure, total cholesterol, diet quality, and glucose control. Primary outcomes were all-cause and CVD mortality as of December 31, 2019. Multivariable-adjusted Cox proportional hazards models were used to estimate the association between CVH metrics and deaths in CKD patients. During a median follow-up of 7.2 years, 2178 all-cause deaths and 779 CVD deaths were documented. Compared to participants with ideal CVH, individuals with intermediate CVH exhibited a 46.0% increase in all-cause mortality (hazard ratio, 1.46; 95% confidence interval: 1.17, 1.83), while those with poor CVH demonstrated a 101.0% increase (2.01; 1.54, 2.62). For CVD mortality, individuals with intermediate CVH experienced a 56.0% increase (1.56; 1.02, 2.39), and those with poor CVH demonstrated a 143.0% increase (2.43; 1.51, 3.91). Linear trends were noted for the associations of CVH with both all-cause mortality (P for trend <0.001) and CVD mortality (P for trend = 0.02). CONCLUSIONS: Lower CVH levels were associated with higher all-cause and CVD mortality in individuals with CKD, which highlights the importance of maintaining good CVH in CKD patients.
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Enfermedades Cardiovasculares , Causas de Muerte , Factores de Riesgo de Enfermedad Cardiaca , Encuestas Nutricionales , Insuficiencia Renal Crónica , Humanos , Masculino , Femenino , Enfermedades Cardiovasculares/mortalidad , Enfermedades Cardiovasculares/diagnóstico , Insuficiencia Renal Crónica/mortalidad , Insuficiencia Renal Crónica/diagnóstico , Insuficiencia Renal Crónica/fisiopatología , Persona de Mediana Edad , Medición de Riesgo , Anciano , Factores de Tiempo , Estados Unidos/epidemiología , Pronóstico , Adulto , Presión Sanguínea , Glucemia/metabolismo , Ejercicio Físico , Dieta Saludable , Colesterol/sangre , Fumar/efectos adversos , Fumar/mortalidad , Fumar/epidemiología , Estado de Salud , Índice de Masa Corporal , Factores de RiesgoRESUMEN
OBJECTIVE: The remodelling of gut mycobiome (ie, fungi) during pregnancy and its potential influence on host metabolism and pregnancy health remains largely unexplored. Here, we aim to examine the characteristics of gut fungi in pregnant women, and reveal the associations between gut mycobiome, host metabolome and pregnancy health. DESIGN: Based on a prospective birth cohort in central China (2017 to 2020): Tongji-Huaxi-Shuangliu Birth Cohort, we included 4800 participants who had available ITS2 sequencing data, dietary information and clinical records during their pregnancy. Additionally, we established a subcohort of 1059 participants, which included 514 women who gave birth to preterm, low birthweight or macrosomia infants, as well as 545 randomly selected controls. In this subcohort, a total of 750, 748 and 709 participants had ITS2 sequencing data, 16S sequencing data and serum metabolome data available, respectively, across all trimesters. RESULTS: The composition of gut fungi changes dramatically from early to late pregnancy, exhibiting a greater degree of variability and individuality compared with changes observed in gut bacteria. The multiomics data provide a landscape of the networks among gut mycobiome, biological functionality, serum metabolites and pregnancy health, pinpointing the link between Mucor and adverse pregnancy outcomes. The prepregnancy overweight status is a key factor influencing both gut mycobiome compositional alteration and the pattern of metabolic remodelling during pregnancy. CONCLUSION: This study provides a landscape of gut mycobiome dynamics during pregnancy and its relationship with host metabolism and pregnancy health, which lays the foundation of the future gut mycobiome investigation for healthy pregnancy.
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Microbioma Gastrointestinal , Micobioma , Humanos , Femenino , Embarazo , Microbioma Gastrointestinal/fisiología , Adulto , Estudios Prospectivos , China , Metaboloma , Hongos/aislamiento & purificación , Recién NacidoRESUMEN
Recognizing the risk factors for dyslipidemia during pregnancy is crucial for safeguarding the health of both the mothers and the offspring. Growing evidence emerged and suggested links between environmental factors, including metals, and alteration in lipid levels or dyslipidemia in general populations. However, knowledge of the associations during pregnancy remains extremely lacking. Herein, we aimed to explore whether elevated metal exposure constitutes a risk factor for dyslipidemia in pregnant women. Based on the Tongji-Shuangliu Birth Cohort (TSBC), a total of 663 pregnant women were recruited and their urinary levels of 17 metals and blood lipid biomarkers in early pregnancy were measured, namely triglyceride (TG), total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), and high-density lipoprotein cholesterol (HDL-C). The multivariable linear regression models revealed that exposure to selected metals during early pregnancy was significantly associated with some important biomarkers. In particular, after natural log-transformed for the levels of lipid biomarkers and metals, copper (Cu) exposure was positively associated with HDL-C (ß = 0.024, 95% CI: 0.001, 0.046), while zinc (Zn) was associated with TG (ß = 0.062, 95% CI: 0.013, 0.110) and selenium with TC (ß = 0.028, 95% CI: 0.004, 0.054). Exposure to rubidium (Rb) was positively associated with multiple lipid biomarkers, including HDL-C (ß = 0.020, 95% CI: 0.002, 0.037) and LDL-C (ß = 0.022, 95% CI: 0.001, 0.042). Mixture exposure analysis further identified significant associations between Cu and HDL-C, Zn and TG, Rb and HDL-C, when multiple metal exposures were considered in the Bayesian kernel machine regression model simultaneously. Our findings showed that exposure to several metals during early pregnancy was associated with an increased prevalence of blood lipid abnormalities in pregnant women. These findings underscore the potential impact of metal combinations on lipid metabolism and increase our understanding of the risk factors associated with abnormal lipid metabolism during pregnancy.
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Biomarcadores , Lípidos , Metales , Humanos , Femenino , Embarazo , Biomarcadores/sangre , Estudios Transversales , Adulto , Metales/sangre , Metales/orina , Lípidos/sangre , Exposición Materna/estadística & datos numéricos , Triglicéridos/sangre , HDL-Colesterol/sangre , Dislipidemias/inducido químicamente , Contaminantes Ambientales/sangre , Adulto Joven , LDL-Colesterol/sangreRESUMEN
BACKGROUND: Comprehensive blood lipoprotein profiles and their association with incident coronary heart disease (CHD) among racially and geographically diverse populations remain understudied. METHODS AND RESULTS: We conducted nested case-control studies of CHD among 3438 individuals (1719 pairs), including 1084 White Americans (542 pairs), 1244 Black Americans (622 pairs), and 1110 Chinese adults (555 pairs). We examined 36 plasma lipids, lipoproteins, and apolipoproteins, measured by nuclear magnetic resonance spectroscopy, with incident CHD among all participants and subgroups by demographics, lifestyle, and metabolic health status using conditional or unconditional logistic regression adjusted for potential confounders. Conventionally measured blood lipids, that is, total cholesterol, triglycerides, low-density lipoprotein-cholesterol, and high-density lipoprotein-cholesterol, were each associated with incident CHD, with odds ratios (ORs) being 1.33, 1.32, 1.24, and 0.79 per 1-SD increase among all participants. Seventeen lipoprotein biomarkers showed numerically stronger associations than conventional lipids, with ORs per 1-SD among all participants ranging from 1.35 to 1.57 and a negative OR of 0.78 (all false discovery rate <0.05), including apolipoprotein B100 to apolipoprotein A1 ratio (OR, 1.57 [95% CI, 1.45-1.7]), low-density lipoprotein-triglycerides (OR, 1.55 [95% CI, 1.43-1.69]), and apolipoprotein B (OR, 1.49 [95% CI, 1.37-1.62]). All these associations were significant and consistent across racial groups and other subgroups defined by age, sex, smoking, obesity, and metabolic health status, including individuals with normal levels of conventionally measured lipids. CONCLUSIONS: Our study highlighted several lipoprotein biomarkers, including apolipoprotein B/ apolipoprotein A1 ratio, apolipoprotein B, and low-density lipoprotein-triglycerides, strongly and consistently associated with incident CHD. Our results suggest that comprehensive lipoprotein measures may complement the standard lipid panel to inform CHD risk among diverse populations.
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Apolipoproteínas , Biomarcadores , Negro o Afroamericano , Enfermedad Coronaria , Lipoproteínas , Población Blanca , Humanos , Masculino , Femenino , Persona de Mediana Edad , Enfermedad Coronaria/sangre , Enfermedad Coronaria/epidemiología , Enfermedad Coronaria/etnología , Enfermedad Coronaria/diagnóstico , Estudios Prospectivos , Estudios de Casos y Controles , Lipoproteínas/sangre , Anciano , Apolipoproteínas/sangre , Biomarcadores/sangre , Lípidos/sangre , Incidencia , Asiático/estadística & datos numéricos , Adulto , Estados Unidos/epidemiología , Factores de Riesgo , Medición de Riesgo , Espectroscopía de Resonancia Magnética , Triglicéridos/sangreRESUMEN
BACKGROUND: In 2009, a workplace-based hypertension management program was launched among men with hypertension in the Kailuan study. This program involved monitoring blood pressure semimonthly, providing free antihypertensive medications, and offering personalized health consultations. However, the cost-effectiveness of this program remains unclear. METHODS AND RESULTS: This analysis included 12 240 participants, with 6120 in each of the management and control groups. Using a microsimulation model derived from 10-year follow-up data, we estimated costs, quality-adjusted life years (QALYs), life-years, and incremental cost-effectiveness ratios (ICERs) for workplace-based management compared with routine care in both the study period and over a lifetime. Analyses are conducted from the societal perspective. Over the 10-year follow-up, patients in the management group experienced an average gain of 0.06 QALYs with associated incremental costs of $633.17 (4366.85 RMB). Projecting over a lifetime, the management group was estimated to increase by 0.88 QALYs or 0.92 life-years compared with the control group, with an incremental cost of $1638.64 (11 301.37 RMB). This results in an incremental cost-effectiveness ratio of $1855.47 per QALY gained and $1780.27 per life-year gained, respectively, when comparing workplace-based management with routine care. In probabilistic sensitivity analyses, with a threshold willingness-to-pay of $30 765 per QALY (3 times 2019 gross domestic product per capita), the management group showed a 100% likelihood of being cost-effective in 10 000 samples. CONCLUSIONS: Workplace-based management, compared with routine care for Chinese men with hypertension, could be cost-effective both during the study period and over a lifetime, and might be considered in working populations in China and elsewhere.
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Hipertensión , Masculino , Humanos , Análisis Costo-Beneficio , Hipertensión/tratamiento farmacológico , Antihipertensivos/uso terapéutico , Lugar de Trabajo , China/epidemiología , Años de Vida Ajustados por Calidad de VidaRESUMEN
AIM: To evaluate the prospective associations of nighttime sleep duration, midday napping, and sleep quality during early pregnancy with gestational diabetes mellitus (GDM) risk among Chinese pregnant women. METHODS: Sleep-related information was assessed by the Pittsburgh Sleep Quality Index in baseline surveys during the 6-15 (mean 10.3) gestational weeks. GDM was diagnosed during 24-28 gestational weeks according to the Chinese Guidelines on Diagnosis and Management of Hyperglycemia in Pregnancy (2022). Multivariable logistic regression models with adjustments for socio-demographic and lifestyle factors were used to estimate odds ratios (ORs) and 95 % confidence intervals (CIs) for the associations of sleep traits with GDM risk. RESULTS: We identified 503 incident GDM cases among 6993 participants. Compared with women who slept for 7-9 hours/night in early pregnancy, those who slept <7 hours/night showed a higher risk of GDM (OR, 1.75; 95 % CI: 1.20-2.54), whereas those who slept >9 hours/night showed no significant association for GDM risk (OR, 1.01; 95 % CI: 0.78-1.30). Compared with women with absolutely no napping, those with ≤60 and > 60 min/day midday napping showed no significant association for GDM risk (OR, 0.82; 95 % CI: 0.64-1.05 for ≤60 min/day midday napping; OR, 0.87; 95 % CI: 0.66-1.15 for >60 min/day midday napping). Poor sleep quality was not associated with GDM risk compared with good quality (OR, 0.90; 95 % CI: 0.72-1.12). CONCLUSION: A short nighttime sleep duration during early pregnancy was associated with a higher risk of GDM, which was independent of midday napping, sleep quality and lifestyle factors.
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Diabetes Gestacional , Calidad del Sueño , Sueño , Humanos , Femenino , Diabetes Gestacional/epidemiología , Embarazo , Estudios Prospectivos , China/epidemiología , Adulto , Sueño/fisiología , Factores de Riesgo , Factores de Tiempo , Estudios de Cohortes , Encuestas y Cuestionarios , Duración del SueñoRESUMEN
BACKGROUND: Although adverse health effects of phthalates have been reported, very few studies have assessed the associations between biomarkers of phthalate exposure and serum folate concentrations in children. OBJECTIVES: We aimed to examine the association between urinary phthalate metabolites, as biomarkers of exposure to phthalates, and total serum folate concentrations in children using national data from the United States. METHODS: We conducted cross-sectional analyses of 2100 individuals aged 6-18 y enrolled in the National Health and Nutrition Examination Survey, 2011-2016. Multivariable linear regression was applied to examine the relationship between natural logarithm (ln)-transformed urinary phthalate metabolites and serum folate concentrations. The quantile-based g-computation was used to assess the association of urinary phthalate metabolite mixture with serum folate levels. Subgroup analyses were conducted by sex, age, and race/ethnicity, and the interactions were assessed by adding interaction terms of these stratifying variables and phthalates and modeling through the Wald test. RESULTS: In multiple linear regression models, for participants in the highest tertile of MEHHP, MEOHP, DEHP, MCPP, and MCOP, total serum folate concentrations were 1.566 [ß: -1.566; 95% confidence interval: -2.935, -0.196], 1.423 (-1.423; -2.689, -0.157), 1.309 (-1.309; -2.573, -0.044), 1.530 (-1.530; -2.918, -0.142), and 1.381 (-1.381; -2.641, -0.122) ng/mL lower than those in the lowest tertile. The inverse associations were consistent in different subgroups by sex, age, and race/ethnicity (P for interaction ≥0.083 for all). In addition, the phthalate mixture showed a strong inverse correlation with serum folate; a quartile increase in the phthalate mixture on the ln scale was associated with 0.888 (-0.888; -1.677, -0.099) ng/mL decrease in the serum folate. CONCLUSIONS: Higher concentrations of urinary phthalate metabolites were associated with lower serum folate concentrations in children. Although our findings should be validated through additional population and mechanistic studies, they support a potential adverse effect of phthalate exposure on folate metabolism in children.
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Biomarcadores , Exposición a Riesgos Ambientales , Ácido Fólico , Ácidos Ftálicos , Ácido Fólico/sangre , Biomarcadores/orina , Exposición a Riesgos Ambientales/análisis , Estudios Transversales , Ácidos Ftálicos/orina , Humanos , Masculino , Femenino , Niño , AdolescenteRESUMEN
AIMS: To investigate the sex-specific associations between predicted skeletal muscle mass index (pSMI) and incident type 2 diabetes in a retrospective longitudinal cohort of Chinese men and women. MATERIALS AND METHODS: We enrolled Chinese adults without diabetes at baseline from WATCH (West chinA adulT health CoHort), a large health check-up-based database. We calculated pSMI to estimate skeletal muscular mass, and measured blood glucose variables and assessed self-reported history to identify new-onset diabetes. The nonlinear association between pSMI and incident type 2 diabetes was modelled using the penalized spline method. The piecewise association was estimated using segmented linear splines in weighted Cox proportional hazards regression models. RESULTS: Of 47 885 adults (53.2% women) with a median age of 40 years, 1836 developed type 2 diabetes after a 5-year median follow-up. In women, higher pSMI was associated with a lower risk of incident type 2 diabetes (Pnonlinearity = 0.09, hazard ratio [HR] per standard deviation increment in pSMI: 0.79 [95% confidence interval {CI} 0.68, 0.91]). A nonlinear association of pSMI with incident type 2 diabetes was detected in men (Pnonlinearity < 0.001). In men with pSMI lower than 8.1, higher pSMI was associated with a lower risk of incident type 2 diabetes (HR 0.58 [95% CI 0.40, 0.84]), whereas pSMI was not significantly associated with incident diabetes in men with pSMI equal to or greater than 8.1 (HR 1.08 [95% CI 0.93, 1.25]). CONCLUSIONS: In females, a larger muscular mass is associated with a lower risk of type 2 diabetes. For males, this association is significant only among those with diminished muscle mass.
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Diabetes Mellitus Tipo 2 , Adulto , Masculino , Humanos , Femenino , Diabetes Mellitus Tipo 2/epidemiología , Estudios de Cohortes , Estudios Retrospectivos , Músculo Esquelético , China/epidemiología , Factores de Riesgo , IncidenciaRESUMEN
AIMS: To examine the prospective association between fibroblast growth factor 21 (FGF21) and risk of gestational diabetes mellitus (GDM) and the modifying effect of overweight/obesity for this association. METHODS: Serum FGF21 levels were measured at 6-15 weeks of gestation among 332 GDM cases and 664 matched controls. Conditional logistic regression was used to evaluate its association with GDM risk. Interaction analyses on multiplicative and additive scales were conducted to investigate the modifying effect of overweight/obesity. RESULTS: Elevated FGF21 levels were associated with a higher risk of GDM in multivariable models, but the positive association was attenuated after further adjustment for pre-pregnancy body mass index (BMI). A significant multiplicative interaction was noted between FGF21 (both continuous and dichotomous) and pre-pregnancy BMI (p for interaction = 0.049 and 0.03), and the association was only significant in participants with pre-pregnancy BMI ≥24 kg/m2 . When participants were grouped based on pre-pregnancy BMI (≥24 and <24 kg/m2 ) and FGF21 levels (≥median and Asunto(s)
Diabetes Gestacional
, Factores de Crecimiento de Fibroblastos
, Femenino
, Humanos
, Embarazo
, Índice de Masa Corporal
, Estudios de Casos y Controles
, Obesidad/complicaciones
, Sobrepeso/complicaciones
RESUMEN
Animal and human studies have suggested that trihalomethane (THM) has toxicity to bone. In this study, we included adolescents from the National Health and Nutrition Examination Survey who had quantified blood and tap water THM concentrations [chloroform (TCM), bromodichloromethane (BDCM), dibromochloromethane (DBCM), and bromoform (TBM)] and lumbar spine or total body less head (TBLH) bone mineral density (BMD). A 2.7-fold increase in concentrations of blood TCM, DBCM, chlorinated THMs (the sum of TCM, BDCM, and DBCM), and total THMs (the sum of 4 THMs) was associated with lower lumbar spine BMD z-scores by -0.06 [95% confidence interval (CI): -0.12, -0.01], -0.06 (95% CI: -0.11, -0.003), -0.08 (95% CI: -0.14, -0.02), and -0.07 (95% CI: -0.13, -0.003), respectively, in adjusted models. Similarly, a 2.7-fold increase in blood BDCM, DBCM, and chlorinated THM concentrations was associated with lower TBLH BMD z-scores by -0.10 (95% CI: -0.17, -0.02), -0.10 (95% CI: -0.17, -0.03), and -0.11 (95% CI: -0.20, -0.01), respectively. Low-to-moderate predictive power was attained when tap water THM concentrations were used to predict blood THM measurements. Notably, the inverse associations for blood THMs persisted exclusively between water concentrations of DBCM and Br-THMs and the TBLH BMD z-scores. Our findings suggest that exposure to THMs may adversely affect the adolescent BMD.
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Densidad Ósea , Contaminantes Químicos del Agua , Animales , Humanos , Adolescente , Estudios Transversales , Encuestas Nutricionales , Trihalometanos/análisis , Agua , Contaminantes Químicos del Agua/análisisRESUMEN
Traditionally, a relatively big urine volume (e.g., 500 µL) is used in nuclear magnetic resonance (NMR)-based human metabolomics, which is not feasible for studies with limited/precious samples. Although urine may be diluted before conventional high-throughput metabolomics analysis, the comprehensive effect of urine dilution on metabolic profiles is unknown. Here, for the first time, we systematically investigated the effect of urine dilution on 1H NMR metabolic profiles, by evaluating signal detectability, integration, signal-to-noise ratio (SNR), chemical shift (δ) and its variation, and signal overlapping of 47 metabolites in 10 volunteers. We observed significant linear changes along with increased dilution, including decreased integration and SNR, altered δ, decreased intersample variation of δ, and increased separation between overlapped signals, e.g., lactate and threonine, ß-d-glucose and an unassigned signal, and histidine and 3-methylhistidine. We further tested the 40% dilution level (i.e., employing 300 µL urine) in an epidemiological study containing 1018 pregnant women from the Tongji-Shuangliu Birth Cohort, showing acceptable detectability and chemical shift variability for most of the 47 metabolites profiled. It indicated that mild (e.g., 40%) dilution of human urine can largely preserve the high-abundance metabolites profiled, reduce intersample chemical shift variations, and increase separations of overlapped signals, which is an improvement of routine sample preparation methods in NMR-based metabolomics and is applicable for studies with limited urine volumes, including large-scale epidemiological studies.
Asunto(s)
Imagen por Resonancia Magnética , Metabolómica , Embarazo , Humanos , Femenino , Ácido Láctico , Espectroscopía de Resonancia Magnética , MetabolomaRESUMEN
Despite existing studies exploring the association between metal exposure and gestational diabetes mellitus (GDM), most of them have focused on a single metal or a small mixture of metals. Our prospective work investigated the joint and independent effects of early gestational exposure to 17 essential and nonessential metals on the GDM risk and potential mediation by plasma phospholipid fatty acids (PLFAs) based on a nested case-control study established with 335 GDM cases and 670 randomly matched healthy controls. The Bayesian kernel machine regression (BKMR) and quantile g-computation analyses demonstrated a joint effect from metal co-exposure on GDM risk. BKMR with hierarchical variable selection indicated that the group of essential metals was more strongly associated with GDM than the group of nonessential metals with group posterior inclusion probabilities (PIPs) of 0.979 and 0.672, respectively. Cu (0.988) and Ga (0.570) had the largest conditional PIPs within each group. We also observed significant mediation effects of selected unsaturated PLFAs on Cu-GDM and Ga-GDM associations. KEGG enrichment analysis further revealed significant enrichment in the biosynthesis of unsaturated PLFAs. C18:1 n-7 exhibited the largest proportion of mediation in both associations (23.8 and 22.9%). Collectively, our work demonstrated the joint effect of early gestational metal exposure on GDM risk and identified Cu and Ga as the key species to the joint effect. The findings lay a solid ground for further validation through multicenter investigations and mechanism exploration via laboratory studies.
Asunto(s)
Diabetes Gestacional , Ácidos Grasos , Femenino , Embarazo , Humanos , Fosfolípidos , Diabetes Gestacional/inducido químicamente , Diabetes Gestacional/epidemiología , Teorema de Bayes , Estudios de Casos y Controles , Estudios Prospectivos , MetalesRESUMEN
BACKGROUND & AIMS: Higher intake of ultra-processed foods (UPF) has been linked with higher risks of cancer, cardiovascular disease, and diabetes, as well as all-cause mortality. However, studies on UPF and cause-specific mortality remain limited, especially among disadvantaged populations. We aimed to examine associations of UPF intake with all-cause and cause-specific mortality among low-income Americans. METHODS: In the Southern Community Cohort Study (SCCS), a prospective cohort of mostly low-income Black and White Americans, we included 77,060 participants who completed a food frequency questionnaire (FFQ) at baseline (2002-2009) and had at least 1 year follow-up. All 89 items in the FFQ were categorized using the Nova classification. UPF intake was calculated as % of daily foods intake by weight (grams). Cox regression was used to estimate HR (95% CI) for the association of UPF intake (quartile or per 10% increase) with total and cause-specific mortality (cancer, coronary heart disease [CHD], stroke, and diabetes) after adjusting for sociodemographics, lifestyles, and disease history. RESULTS: Of 77,060 participants, 46,175 (59.9%) were women, 49,857 were Black (64.7%), and mean age was 52.4 (SD: 8.8) years at baseline. The mean intake of UPF was 41.0% (SD: 15.7%). UPF intake was inversely associated with Healthy Eating Index and intakes of fiber, minerals, and vitamins but positively associated with intakes of sugars and fats (all PFDR<0.0001). During an average follow-up of 12.2 years, we documented 17,895 total deaths, including 4267 from cancer, 2208 from CHD, 867 from stroke, and 997 from diabetes. In the fully adjusted model, higher UPF intake was not associated with all-cause, cancer, CHD, or stroke mortality but showed a significant association with increased diabetes mortality (HR [95% CI] = 1.32 [1.07, 1.62] for the highest versus lowest quartiles [>51.1% vs. <29.3%] and 1.09 [1.04, 1.15] per 10% increase). The adverse UPF-diabetes mortality association was noted regardless of sex, race, income, neighborhood deprivation, lifestyles, and cardiometabolic disease history, while particularly evident in participants with no more than high school education or a history of hypercholesterolemia (HR [95% CI] per 10% increase = 1.12 [1.05, 1.18] and 1.14 [1.07, 1.22], respectively; both Pinteraction<0.05). CONCLUSIONS: Among predominantly low-income Black and White American adults, UPF intake was associated with increased diabetes mortality, especially for individuals with limited education or hypercholesterolemia. Our findings suggest the potential impact of increasing access and intake of un/minimally processed food to replace UPF on reducing diabetes-related mortality among populations facing socioeconomic and health disparities.
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Hipercolesterolemia , Neoplasias , Accidente Cerebrovascular , Adulto , Humanos , Femenino , Persona de Mediana Edad , Masculino , Estudios de Cohortes , Alimentos Procesados , Dieta , Estudios Prospectivos , Causas de Muerte , Comida Rápida/efectos adversosRESUMEN
Characterization of gestational exposure to complex contaminants of emerging concern (CECs) is critical to the identification of environmental risk factors for pregnancy complications. However, determination of various CECs with diverse physicochemical properties in biological fluids is technically challenging. In the present study, we developed a target exposome protocol, consisting of simple liquid-liquid extraction-based sample preparation and sensitive liquid chromatography-tandem mass spectrometry (LC-MS/MS) analysis, to determine 325 CECs covering 11 subclasses, including poly- and perfluoroalkyl substances, organophosphate esters, ultraviolet (UV) stabilizers, synthetic antioxidants, phthalate esters, and several others. The protocol exhibits exceptional advantages over traditional approaches in the coverage of chemicals, sample volume demand, and time and financial cost. The protocol was applied in a prospective nested gestational diabetes mellitus (GDM) study including 120 cases and 240 matched healthy controls. Thirty-three CECs were detected in >70% of the samples, with a combined concentration of 17.0-484.7 ng/mL. Bayesian kernel machine regression analysis showed that exposure to the CEC mixture was significantly associated with a higher GDM risk. For example, when increasing all CECs in the mixture from 50th percentile to 75th percentile, the estimated probit of GDM incidence had an increase of 92% (95% CI: 56%, 127%). Meanwhile, perfluorohexanesulfonic acid, 1,3-diphenylguanidine, and dibutyl fumarate were identified as the key CECs driving the joint effect. This work demonstrates great potential of our target exposome protocol for environmental risk factor identification in large-scale epidemiology or biomonitoring studies.
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Diabetes Gestacional , Exposoma , Femenino , Embarazo , Humanos , Diabetes Gestacional/epidemiología , Teorema de Bayes , Cromatografía Liquida , Estudios Prospectivos , Espectrometría de Masas en Tándem , ÉsteresRESUMEN
CONTEXT: Chronic low-grade inflammation may play a crucial role in the pathogenesis of gestational diabetes mellitus (GDM). However, prospective studies on the relations of inflammatory blood cell parameters during pregnancy with GDM are lacking. OBJECTIVE: To prospectively investigate the associations of inflammatory blood cell parameters in both early and middle pregnancy, and their change patterns from early to middle pregnancy, with GDM risk. METHODS: We used data from the Tongji-Shuangliu Birth Cohort. Inflammatory blood cell parameters (white blood cells [WBC], neutrophils, lymphocytes, monocytes, neutrophil to lymphocyte ratio [NLR], and platelets) were assayed before 15 weeks and between 16 and 28 weeks of gestational age. Logistic regression was used to evaluate the associations between inflammatory blood cell parameters and GDM. RESULTS: Of the 6354 pregnant women, 445 were diagnosed with GDM. After adjustment for potential confounders, WBC, neutrophils, lymphocytes, monocytes, and NLR in early pregnancy were positively associated with GDM risk (odds ratios [95% CI] for extreme-quartile comparison were 2.38 [1.76-3.20], 2.47 [1.82-3.36], 1.40 [1.06-1.85], 1.69 [1.27-2.24], and 1.51 [1.12-2.02], respectively, all P for trend ≤ .010). Similarly, higher levels of WBC, neutrophils, monocytes, and NLR in middle pregnancy were associated with increased risk of GDM (all P for trend ≤ .014). Stable high levels (≥ median in both early and middle pregnancy) of WBC, neutrophils, monocytes, and NLR were positively associated with GDM risk (all P ≤ .001). CONCLUSION: Increased WBC, neutrophils, monocytes, and NLR in both early and middle pregnancy and their stable high levels from early to middle pregnancy were associated with higher GDM risk, highlighting that they might be clinically relevant for identifying individuals at high risk for GDM.
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Diabetes Gestacional , Embarazo , Femenino , Humanos , Estudios Prospectivos , Primer Trimestre del Embarazo , Neutrófilos , Glucemia , Inflamación/complicacionesRESUMEN
BACKGROUND: We aimed to examine prospective associations between different intensities and different types of physical activity (PA) in early pregnancy and hypertensive disorders of pregnancy (HDP) among Chinese women. METHODS: A total of 6,820 pregnant women from the Tongji-Shuangliu Birth Cohort were included in this study. The pregnancy physical activity questionnaire (PPAQ) was used to assess PA, including household/caregiving, occupational, sports/exercise, and transportation activities in the first trimester of pregnancy. The diagnosis of HDP was collected, including gestational hypertension (GH) and preeclampsia (PE). Data were analyzed by unconditional multivariate logistic regression, and the odds ratio (OR) and 95% confidence interval (CI) were calculated. RESULTS: A total of 178 (2.6%) of the 6,820 women were diagnosed with HDP, of which 126 (1.8%) were GH and 52 (0.8%) were PE. Overall, we found no association between PA in early pregnancy and PE. A trend toward lower risk was found only among women with GH and among those with higher levels of moderate-to-vigorous intensity physical activity (MVPA) (adjusted OR 0.54, 95% CI 0.31-0.96). No association was observed between PA and HDP in early pregnancy, regardless of different intensities or types of PA. CONCLUSION: MVPA in the first trimester is an influencing factor of HDP. Encouraging pregnant women to engage in MVPA in the first trimester may help to prevent GH.