Research progress on shortened telomere length in newborns and impaired cardiovascular metabolic health in children caused by exposure to cadmium during pregnancy / 环境与职业医学

Cadmium exposure during pregnancy is a non-negligible public health problem which may increase the risk of shortened telomere length in newborns and cardiovascular metabolic health damage in children, and has attracted attention from many researchers in recent years. This article reviewed recent studies both domestically and internationally on the associations among cadmium exposure during pregnancy, shortened telomere length in newborns, and cardiovascular metabolic abnormalities in children, and briefly outlined possible mechanisms of shortened telomere length in newborns by cadmium exposure during pregnancy. Current research results showed that cadmium exposure during pregnancy is related to shortened telomere length in newborns and cardiovascular metabolic abnormalities in children, and shortened telomere length in newborns is also related to cardiovascular metabolic abnormalities in children. It suggested that telomere length in newborns may be a biomarker reflecting cardiovascular metabolic abnormalities in children caused by cadmium exposure during pregnancy. In addition, the current potential mechanisms of cadmium exposure during pregnancy accelerating neonatal telomere length shortening include inflammatory reaction, mitochondrial dysfunction, antioxidant consumption/antioxidant enzyme inactivation, and DNA methylation, and these biological mechanisms are associated with cardiovascular metabolic abnormalities through certain factors, such as obesity, elevated blood pressure, impaired fasting blood glucose, and dyslipidemia in children, suggesting that cardiovascular metabolic abnormalities in children may be programmed in early life, but there are still few relevant studies. In the future, research should be conducted on the association among cadmium exposure during pregnancy, telomere length, and offspring cardiovascular metabolism, as well as possible mediating efficacy and related biological mechanisms of telomere length, aiming to provide early-life biological information for the prevention of cardiovascular and metabolic diseases.

Joint Association of Metabolic Health and Obesity with Ten-Year Risk of Cardiovascular Disease among Chinese Adults / 生物医学与环境科学（英文）

OBJECTIVE@#This study aims to investigate the association of metabolic phenotypes that are jointly determined by body mass index (BMI) or fat mass percentage and metabolic health status with the ten-year risk of cardiovascular disease (CVD) among Chinese adults.@*METHODS@#Data were obtained from a cross-sectional study. BMI and body fat mass percentage (FMP) combined with the metabolic status were used to define metabolic phenotypes. Multiple linear regression and logistic regression were used to examine the effects of metabolic phenotypes on CVD risk.@*RESULTS@#A total of 13,239 adults aged 34-75 years were included in this study. Compared with the metabolically healthy non-obese (MHNO) phenotype, the metabolically unhealthy non-obese (MUNO) and metabolically unhealthy obese (MUO) phenotypes defined by BMI showed a higher CVD risk [odds ratio, OR (95% confidence interval, CI): 2.34 (1.89-2.89), 3.45 (2.50-4.75), respectively], after adjusting for the covariates. The MUNO and MUO phenotypes defined by FMP showed a higher CVD risk [ OR (95% CI): 2.31 (1.85-2.88), 2.63 (1.98-3.48), respectively] than the MHNO phenotype. The metabolically healthy obese phenotype, regardless of being defined by BMI or FMP, showed no CVD risk compared with the MHNO phenotype.@*CONCLUSION@#General obesity without central obesity does not increase CVD risk in metabolically healthy individuals. FMP might be a more meaningful factor for the evaluation of the association of obesity with CVD risk. Obesity and metabolic status have a synergistic effect on CVD risk.

Crosstalk among dietary lipids, gut microbiome, and host metabolic health / 生物工程学报

As one of the three major nutrients, dietary lipids provide energy and nutrition for human. The quantity and quality of dietary lipids affect the composition of gut microbiota, which consequently may affect the host metabolic health. Development of disease animal models is an important approach to study the relationship between gut microbiota and human metabolic health. In this review, we discussed the types of dietary lipids, and summarized how dietary lipids affect the composition of gut microbiota and regulate the metabolic health of animal models. The clarification of potential underlying mechanisms will shed lights on future research in other live systems including human.

Metabolic phenotypes of obese, overweight, and normal weight individuals and risk of chronic kidney disease: a systematic review and meta-analysis

ABSTRACT Objective Chronic kidney disease (CKD) risk is inconsistent in the normal-weight, overweight, and obese individuals due to the heterogeneity of metabolic status. This meta-analysis aimed to examine the combined effects of body mass index (BMI) and metabolic status on CKD risk. Materials and methods The MEDLINE, EMBASE, and Web of Knowledge databases were systematically searched up to March 2019 to identify all eligible studies investigating the CKD risk (defined as GFR < 60 mL/min per 1.73 m2 and/or microalbuminuria or proteinuria) associated with the body size phenotypes which are known as metabolically unhealthy normal-weight (MUNW), metabolically healthy overweight (MHOW), metabolically unhealthy overweight, metabolically healthy obese (MHO) and metabolically unhealthy obese (MUHO). The classification of subjects in included studies as metabolically unhealthy was based on the presence of three components of metabolic syndrome. BMI categorization was based on the criteria of included studies. The risk estimates and 95% confidence intervals (CIs) were extracted and pooled using random effects analysis. Results A total of 9 prospective cohort studies with 128773 participants and 4797 incident cases were included in the meta-analysis. Compared with healthy normal-weight individuals as reference, MUNW and MHO subjects showed an increased risk for CKD events with a pooled RR of 1.58 (95% CI = 1.28-1.96) in MUNW and 1.55 (95% CI = 1.34-1.79) in MHO persons. Also, MHOW was at increased risk for CKD (RR = 1.34, 95% CI = 1.20-1.51). MUHO individuals were at the highest risk for the development of CKD (RR = 2.13, 95% CI = 1.66-2.72). Conclusions Individuals with metabolic abnormality, although at normal-weight, have an increased risk for CKD. Healthy overweight and obese individuals had higher risk; refuting the notion that metabolically healthy overweight and obese phenotypes are benign conditions.

Incidence of Prostate Cancer according to Metabolic Health Status: a Nationwide Cohort Study

BACKGROUND: We assessed the association between metabolic health status and incidence of prostate cancer using the National Health Check-ups (NHC) database of Korea. METHODS: A total of 11,771,252 men who participated in the NHC between 2009 and 2012 and 56,552 men who were newly diagnosed with prostate cancer were analyzed. Normal-weight and obesity were defined as body mass index (BMI) < 25 kg/m2 and ≥ 25 kg/m2, respectively. Metabolic obesity was defined as the presence ≥ 3 components of the metabolic syndrome. Participants were stratified into 4 groups: metabolically healthy, normal-weight; metabolically obese, normal-weight (MONW); metabolically healthy, obese (MHO); and metabolically obese, obese. Multivariate Cox regression analysis was performed to examine the relationship between metabolic health status and incidence of prostate cancer. RESULTS: During a mean 5.4 ± 1.1 years of follow-up, 56,552 patients were registered with a diagnosis of prostate cancer. When analyzed according to metabolic health status classification, the multivariable-adjusted hazard ratio (HR) was 1.143 for the MONW group, 1.097 for the MHO group, showing the HR for the MONW group was higher than that for the MHO group. As the number of metabolic syndrome components increased, HR increased significantly. When stratified based on BMI, metabolically obese patients showed significantly higher HR than metabolically healthy patients in all BMI groups. CONCLUSION: This population-based nationwide study revealed an association between metabolic health status and the incidence of prostate cancer, and the risk increased according to the number of components of the metabolic syndrome.

Altos niveles de adiposidad se asocian a un deterioro en la salud metabólica en adultos chilenos / Higher adiposity levels are associated with detrimental metabolic health in Chilean adults

RESUMEN Antecedentes: El exceso de grasa corporal es uno de los principales factores de riesgo de enfermedades cardiometabólicas. Objetivo: Investigar las asociaciones entre indicadores de adiposidad y metabólicos en población adulta chilena. Métodos: Estudio observacional de corte transversal en 475 adultos, a quienes se evaluó el índice de masa corporal (IMC), perímetro cintura (PC) y porcentaje de masa grasa (%MG). Se midió presión arterial, glicemia, insulina, HOMA-IR, colesterol total, triglicéridos, colesterol HDL y LDL, alanina-amino transpeptidasa, gama-glutamil transpeptidasa, leptina y proteína C-reactiva ultra sensible (PCRus). La asociación entre indicadores de adiposidad y marcadores metabólicos fue determinada mediante regresión lineal múltiple. Resultados: Los tertiles superiores de IMC, PC y %MG se asociaron significativamente (p< 0,05) con niveles bajos de colesterol HDL y altos de insulina, HOMAIR, triglicéridos, colesterol total, colesterol LDL, ALT, GGT, PCRus y leptina; esto para ambos sexos. Se observó además que los valores de presión arterial sistólica y presión arterial diastólica, fueron significativamente mayores en mujeres en relación a un mayor IMC. Conclusión: A medida que aumentó el nivel de adiposidad, se deterioran los marcadores de salud cardiovascular y metabólica, independientemente del indicador de adiposidad empleado.

ABSTRACT Background: Adiposity is positively associated with metabolic and inflammatory markers, which increase the risk of developing metabolic disease related to obesity. Aim: To investigate the association between adiposity markers and metabolic health in Chilean adults. Methods: We conducted a cross-sectional study with 475 participants. Body mass index (BMI), waist circumference (WC) and body fat (using 4 skinfold) were measured. The outcomes of interest were blood pressure, fasting glucose, insulin, HOMA-IR, total cholesterol, triglycerides (TG), HDL and LDL cholesterol,γ-glutamyltransferase (GGT), alanine aminotransferase (ALT), leptin and high sensitive C-reactive protein (hsCRP). The association between adiposity and metabolic outcomes were investigated using multiple linear regression analysis. Results: Individuals in the highest tertile for BMI, WC and body fat had a lower concentration of HDL-cholesterol and higher concentration of insulin, HOMA-IR, TG, LDL and total cholesterol, GGT, ALT, leptin and hsCRP. Blood pressure was higher with increasing BMI in females only. There was no significant association between fasting glucose and any of the adiposity markers. Conclusion: Higher adiposity levels were associated with a detrimental metabolic health. The effect of higher BMI, WC and body fat were similar across metabolic markers.

Metabolic Health Is More Important than Obesity in the Development of Nonalcoholic Fatty Liver Disease: A 4-Year Retrospective Study

BACKGROUND: The aim of this study is to compare the risk for future development of nonalcoholic fatty liver disease (NAFLD) according to different status of metabolic health and obesity. METHODS: A total of 3,045 subjects without NAFLD and diabetes at baseline were followed for 4 years. Subjects were categorized into four groups according to the following baseline metabolic health and obesity statuses: metabolically healthy, non-obese (MHNO); metabolically healthy, obese (MHO); metabolically unhealthy, non-obese (MUHNO); and metabolically unhealthy, obese (MUHO). Being metabolically healthy was defined as having fewer than two of the following five components: high blood pressure, high fasting blood glucose, high triglyceride, low high density lipoprotein cholesterol, and being in the highest decile of the homeostasis model assessment-insulin resistance index. Obesity was defined as a body mass index >25 kg/m2. The presence of NAFLD was assessed by ultrasonography. RESULTS: The proportions of subjects included in the MHNO, MHO, MUHNO, and MUHO groups were 71.4%, 9.8%, 13.0%, and 5.8%, respectively. The proportions of subjects who developed NAFLD were 10.5%, 31.4%, 23.2%, and 42% in the MHNO, MHO, MUHNO, and MUHO groups, respectively. The risk for developing NAFLD was highest in subjects who were metabolically unhealthy both at baseline and after 4 years compared with subjects who were consistently metabolically healthy during the follow-up period (odds ratio, 2.862). Using the MHNO group as reference, the odds ratios for the MHO, MUHNO, and MUHO groups were 1.731, 1.877, and 2.501, respectively. CONCLUSION: The risk for NAFLD was lower in MHO subjects than in MUNO subjects.

Comparison of Serum Adipocytokine Levels according to Metabolic Health and Obesity Status

BACKGROUND: Metabolic health is an emerging concept that is highly correlated with various metabolic complications, and adipocytokines have been causally linked to a wide range of metabolic diseases. Thus, this study compared serum adipocytokine levels according to metabolic health and obesity status. METHODS: Four hundred and fifty-six nondiabetic subjects (mean age, 40.5 years) were categorized into four groups according to metabolic health and obesity status: metabolically healthy nonobese (MHNO), metabolically healthy obese (MHO), metabolically unhealthy nonobese (MUHNO), and metabolically unhealthy obese (MUHO). Being metabolically healthy was defined as the presence of fewer than two of the following five metabolic abnormalities: high blood pressure, high fasting blood glucose, high triglyceride, low high density lipoprotein cholesterol, and being in the highest decile of the homeostatic model assessment of insulin resistance index. Obesity status was assessed using body mass index (BMI), with obesity defined as a BMI higher than 25 kg/m2. Levels of serum interleukin-6 (IL-6), monocyte chemoattractant protein-1 (MCP-1), tumor necrosis factor alpha (TNF-alpha), and adipocyte fatty acid binding protein (A-FABP) were also evaluated. RESULTS: Of the 456 subjects, 247 (54.2%) were in the MHNO group, 66 (14.5%) were in the MHO group, 66 (14.5%) were in the MUHNO group, and 77 (16.9%) were in the MUHO group. There were no significant differences in IL-6 or MCP-1 levels among the groups, but levels of TNF-alpha and A-FABP were significantly higher in the MUHNO group compared to the MHNO group. CONCLUSION: High TNF-alpha and A-FABP levels are significantly associated with metabolically unhealthiness in nonobese Korean individuals.