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INTRODUCTION: Non-high-density lipoprotein cholesterol (non-HDL-C) levels can increase the cardiometabolic risk factors in patients with hypothyroidism, but the findings across studies have not been consistently conclusive. The aim of this study was to find the association between non-HDL-C and cardiometabolic risk factors in patients with hypothyroidism. MATERIAL AND METHODS: In this case-control study, a total of 120 subjects among which 60 diagnosed hypothyroidism patients and 60 age-matched healthy controls were enrolled, aged 30-65 years. Body mass index (BMI), waist circumference (WC), and systolic and diastolic blood pressures (SBP and DBP) were measured. Thyroid-stimulating hormone (TSH), triiodothyronine (T3), thyroxine (T4), fasting blood sugar (FBS), total cholesterol (TC), triglyceride (TG), and high-density lipoprotein cholesterol (HDL-C) were estimated. Low-density lipoprotein cholesterol (LDL-C), very low-density lipoprotein cholesterol (VLDL-C), and non-HDL-C were calculated. A p-value of <0.05 was considered statistically significant. RESULTS: Mean of BMI, WC, FBS, TSH, TC, TG, non-HDL-C, LDL-C, VLDL-C, SBP, and DBP were significantly elevated in cases compared to controls (p<0.001). However, the mean of T3, T4, and HDL-C were significantly reduced in cases compared to controls (p<0.001). Non-HDL-C has shown a significant positive correlation with age (r=0.345, p<0.01), TC (r=0.451, p<0.01), TG (r=0.269, p<0.05), LDL-C (r=0.402, p<0.01), and VLDL-C (r=0.269, p<0.05) among cases. However, non-HDL-C has shown a significant negative correlation with HDL-C (r=-0.330, p<0.05) among cases. Non-HDL-C significantly predicted cardiometabolic risk in patients with hypothyroidism (F(13,46)=3.500, p<0.001). CONCLUSION: Non-HDL-C has shown a significant association with age and lipid abnormalities in patients with hypothyroidism. Non-HDL-C significantly predicts cardiometabolic risk factors in patients with hypothyroidism.

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Microcirculatory dysfunction has been observed in the dermal white adipose tissue (dWAT) and subcutaneous white adipose tissue (scWAT) of obese humans and has been proposed as an early prediction marker for cardio-metabolic disease progression. In-vivo visualization and longitudinal monitoring of microvascular remodeling in these tissues remains challenging. We compare the performance of two optoacoustic imaging methods, i.e. multi-spectral optoacoustic tomography (MSOT) and raster-scanning optoacoustic mesoscopy (RSOM) in visualizing lipid and hemoglobin contrast in scWAT and dWAT in a mouse model of diet-induced obesity (DIO) undergoing voluntary wheel running intervention for 32 weeks. MSOT visualized lipid and hemoglobin contrast in murine fat depots in a quantitative manner even at early stages of DIO. We show for the first time to our knowledge that RSOM allows precise visualization of the dWAT microvasculature and provides quantitative readouts of skin layer thickness and vascular density in dWAT and dermis. Combination of MSOT and RSOM resolved exercise-induced morphological changes in microvasculature density, tissue oxygen saturation, lipid and blood volume content in dWAT and scWAT. The combination of MSOT and RSOM may allow precise monitoring of microcirculatory dysfunction and intervention response in dWAT and scWAT in a mouse model for DIO. Our findings have laid out the foundation for future clinical studies using optoacoustic-derived vascular readouts from adipose tissues as a biomarker for monitoring microcirculatory function in metabolic disease.

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This study aims to investigate longitudinal associations between the dietary glycemic index (GI) and glycemic load (GL) and changes in glycemic and cardio-metabolic outcomes. A 28-month retrospective cohort study included 110 Vietnamese diabetic patients, collecting their dietary GI and GL values along with blood biochemical data from baseline 24-h dietary recall and medical records. Latent class growth modelling identified three distinct HbA1c trajectories during the follow-up period, with 51% of patients achieving good glycemic control. The adjusted linear mixed-effect model showed that 1 unit increase in logarithms in dietary GL was associated with a 0.14% increase in the log-HbA1c. Among poorly controlled diabetic patients, baseline GL values were positively correlated with increases in HbA1c; GI showed effects on changes in fasting plasma glucose and the triglyceride-glucose (TyG) index. No significant association was observed in patients with good glycemic control.

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Biomarcadores , Glucemia , Dieta , Hemoglobina Glucada , Índice Glucémico , Carga Glucémica , Humanos , Masculino , Femenino , Glucemia/metabolismo , Glucemia/análisis , Hemoglobina Glucada/análisis , Biomarcadores/sangre , Anciano , Vietnam , Estudios Retrospectivos , Persona de Mediana Edad , Estudios Longitudinales , Diabetes Mellitus Tipo 2/sangre , Triglicéridos/sangre , Control Glucémico/métodos

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BACKGROUND: Cardiovascular disease remains the primary cause of morbidity and mortality despite advancements in the treatment of patients with type 2 diabetes. Effective diabetes management extends beyond blood glucose control and includes cardiovascular prevention and treatment. However, the conventional healthcare model often emphasizes single-disease-specific management, leading to fragmented care. We aim to establish an affordable Cardio-Metabolic Clinic (CMC) that can provide comprehensive assessment and specialized care with a focus on cardiovascular protection. METHODS: The ProtecT-2-D study is a prospective, randomized control trial at the Cardiovascular Research Unit, Odense University Hospital Svendborg, Denmark. In this study, 1500 participants with type 2 diabetes and cardiovascular disease will be randomly assigned in a 2:1 ratio to receive either the intervention: treatment in the CMC, or the control: standard of care. The Cardio-Metabolic Clinic applies a decision-making algorithm coded with the latest guidelines to evaluate lifestyle factors and manage medical treatment. Health examinations are conducted at baseline and after three years, and clinical events will be assessed through registry and journal audits after five and ten years. The primary outcome is the time to the first occurrence of a composite of cardiovascular deaths, non-fatal acute myocardial infarctions, non-fatal stroke, or hospitalization due to heart failure at a time frame of five years. DISCUSSION: The Cardio-Metabolic Clinic represents a pioneering approach to diabetes management that aims to improve patient outcomes by reducing the cardiovascular disease burden. This study could transform diabetes care and offer a multidisciplinary, cost-effective, and specialized treatment. We need to establish the efficacy and feasibility of a CMC to integrate comparable clinics into broader healthcare systems, and potentially enhance cardiovascular health in patients with type 2 diabetes. TRIAL REGISTRATION NUMBER: ClinicalTrials.gov NCT06203860.

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Enfermedades Cardiovasculares , Diabetes Mellitus Tipo 2 , Humanos , Diabetes Mellitus Tipo 2/diagnóstico , Diabetes Mellitus Tipo 2/mortalidad , Diabetes Mellitus Tipo 2/complicaciones , Diabetes Mellitus Tipo 2/sangre , Diabetes Mellitus Tipo 2/terapia , Estudios Prospectivos , Dinamarca/epidemiología , Enfermedades Cardiovasculares/prevención & control , Enfermedades Cardiovasculares/diagnóstico , Enfermedades Cardiovasculares/mortalidad , Enfermedades Cardiovasculares/epidemiología , Factores de Tiempo , Resultado del Tratamiento , Ensayos Clínicos Controlados Aleatorios como Asunto , Hipoglucemiantes/uso terapéutico , Hipoglucemiantes/efectos adversos , Prestación Integrada de Atención de Salud , Factores de Riesgo de Enfermedad Cardiaca , Hospitales Universitarios , Instituciones de Atención Ambulatoria , Costos de la Atención en Salud , Medición de Riesgo , Masculino , Conducta de Reducción del Riesgo , Análisis Costo-Beneficio , Biomarcadores/sangre

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Background Cardiometabolic diseases pose a significant public health challenge globally, particularly among healthcare workers, who often face heightened occupational stress and lifestyle challenges. This study aims to assess the prevalence of cardiometabolic risk factors and their determinants among healthcare workers at Acharya Vinoba Bhave Rural Hospital, a tertiary care hospital in rural Wardha, Maharashtra, India. Methods A cross-sectional study design was employed, involving the recruitment of healthcare workers from various job roles. Data on demographic characteristics, behavioral risk factors, anthropometric measurements, biochemical parameters, and mental health status was collected using standardized instruments and procedures. Statistical analysis included descriptive statistics, inferential tests, and multivariate analyses to identify significant associations and predictors of cardiometabolic risk factors. Expected results Anticipated findings include a notable prevalence of cardiometabolic risk factors among healthcare workers, including elevated BMI, fasting blood glucose, dyslipidemia, and hypertension. Behavioral risk factors such as physical inactivity, unhealthy dietary habits, tobacco use, and alcohol consumption are expected to be prevalent. Additionally, varying degrees of psychological distress, including depression, anxiety, and stress, are anticipated. Significant associations between cardiometabolic risk factors and demographic variables are expected to be identified. Conclusion The study findings provide valuable insights into the prevalence and determinants of cardiometabolic risk factors among healthcare workers in a rural setting. These insights can inform targeted interventions and public health strategies aimed at improving the cardiovascular health and overall well-being of healthcare workers, ultimately contributing to the enhancement of healthcare delivery and outcomes in rural areas.

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Cardio-metabolic disease is a significant global health challenge with increasing prevalence. Recent research underscores the disruption of gut microbial balance as a key factor in disease susceptibility. We aimed to characterize the gut microbiota composition and function in cardio-metabolic disease and healthy controls. For this purpose, we collected stool samples of 18 subjects (12 diseased, 6 healthy) and we performed metagenomics analysis and functional prediction using QIIME2 and PICRUSt. Furthermore, we carried out assessments of microbe-gene interactions, gene ontology, and microbe-disease associations. Our findings revealed distinct microbial patterns in the diseased group, particularly evident in lower taxonomic levels with significant variations in 14 microbial features. The diseased cohort exhibited an enrichment of Lachnospiraceae family, correlating with obesity, insulin resistance, and metabolic disturbances. Conversely, reduced levels of Clostridium, Gemmiger, and Ruminococcus genera indicated a potential inflammatory state, linked to compromised butyrate production and gut permeability. Functional analyses highlighted dysregulated pathways in amino acid metabolism and energy equilibrium, with perturbations correlating with elevated branch-chain amino acid levels-a known contributor to insulin resistance and type 2 diabetes. These findings were consistent across biomarker assessments, microbe-gene associations, and gene ontology analyses, emphasizing the intricate interplay between gut microbial dysbiosis and cardio-metabolic disease progression. In conclusion, our study unveils significant shifts in gut microbial composition and function in cardio-metabolic disease, emphasizing the broader implications of microbial dysregulation. Addressing gut microbial balance emerges as a crucial therapeutic target in managing cardio-metabolic disease burden.

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BACKGROUND: The dietary inflammatory index (DII) serves as a tool to assess the inflammatory impact of an individual's diet. This study aimed to investigate the association between DII and some cardio-metabolic risk indices among patients with T2DM. METHODS: Data from the Hoveyzeh Cohort Study, encompassing 2045 adults with T2DM, were analyzed. DII scores were calculated based on food frequency questionnaires. Anthropometric measurements and biochemical tests were performed to assess cardio-metabolic risk factors. RESULTS: Higher DII scores were positively associated with elevated triglyceride levels, triglyceride-glucose (TyG) index, lipid accumulation product (LAP), anthropometric indices including a body shape index (ABSI), body roundness index (BRI), body mass index (BMI), hip, waist circumferences (WC), and waist-to-height ratio (all Ptrend < 0.05). Notably, no significant association was observed between DII and fasting blood sugar (FBS) levels (Ptrend > 0.05). Additionally, dietary intake analysis revealed a negative correlation between DII scores and intake of fiber, fruits, vegetables, legumes, fish, seafood, dairy products, magnesium, and vitamins A, C, D, and E (all Ptrend < 0.05). Conversely, higher DII scores were associated with increased consumption of red meat, processed meat, refined cereals, potatoes, and soft drinks (all Ptrend < 0.05). CONCLUSION: This study underscores the critical link between dietary inflammation, assessed by the DII score, and a multitude of cardio-metabolic risk factors in patients with T2DM. Notably, while the study did not find a significant association between DII and fasting blood sugar levels, it identified robust associations with novel anthropometric and biochemical indices indicative of cardio-metabolic risk. These findings highlight the potential of dietary interventions as a cornerstone strategy for managing T2DM and mitigating its associated complications.

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Diabetes Mellitus Tipo 2 , Dieta , Inflamación , Humanos , Masculino , Femenino , Diabetes Mellitus Tipo 2/epidemiología , Estudios Transversales , Persona de Mediana Edad , Inflamación/sangre , Dieta/efectos adversos , Estudios de Cohortes , Factores de Riesgo , Factores de Riesgo Cardiometabólico , Adulto , Enfermedades Cardiovasculares/etiología , Enfermedades Cardiovasculares/epidemiología , Anciano , Pronóstico , Estudios de Seguimiento

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BACKGROUND: The association of a single time-point measure of sleep duration with cardio-metabolic disease has been extensively studied, but few studies have focused on the impact of sleep duration trajectory. This study aims to model the sleep duration trajectory as predictors for the subsequent development of cardio-metabolic disease. METHODS: This study recruited a notably large population (n = 9883) of subjects aged at least 45 years from the China Health and Retirement Longitudinal Study (CHARLS), who participated in sequential surveys conducted in 2011, 2013, 2015, and 2018. Sleep duration trajectories were plotted using data of night sleep duration recorded at intervals from 2011 to 2015 by latent class trajectory model. The onset of cardio-metabolic diseases from 2015 to 2018 were confirmed and then the risk of different sleep duration trajectories on incident cardio-metabolic disease was examined using cox proportional hazards regression model. RESULTS: We identified four sleep duration trajectories. Compared to the normal-stable trajectory, the short-stable trajectory was significantly associated with higher risk of incident stroke (hazard ratio [HR], 1.32; 95 % confidence interval [CI], 1.02 to 1.70), dyslipidemia (HR, 1.22; 95%CI, 1.01 to 1.49), and diabetes (HR, 1.42; 95%CI, 1.13 to 1.78) within three years of follow-up, and the short-increasing trajectory predicted a higher risk of incident stroke (HR, 2.38; 95%CI, 1.25 to 4.55). CONCLUSIONS: Short sleep trajectory could increase the risk of incident stroke, dyslipidemia, and diabetes, and an increasing sleep trajectory was associated with increased risk of incident stroke among middle-aged and older Chinese adults.

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Sueño , Humanos , Femenino , Masculino , China/epidemiología , Persona de Mediana Edad , Anciano , Estudios Longitudinales , Enfermedades Cardiovasculares/epidemiología , Factores de Riesgo , Modelos de Riesgos Proporcionales , Enfermedades Metabólicas/epidemiología , Accidente Cerebrovascular/epidemiología , Dislipidemias/epidemiología , Factores de Tiempo , Diabetes Mellitus/epidemiología , Incidencia , Duración del Sueño , Pueblos del Este de Asia

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Pregnancy represents a stage during which maternal physiology and homeostatic regulation undergo dramatic change and adaptation. The fundamental purpose of these adaptations is to ensure the survival of her offspring through adequate nutrient provision and an environment that is tolerant to the semi-allogenic foetus. While poor maternal diet during pregnancy is associated with perturbed maternal adaptations during pregnancy, the influence of paternal diet on maternal well-being is less clearly defined. We fed C57BL/6 male mice either a control (CD), low protein diet (LPD), a high fat/sugar Western diet (WD) or the LPD or WD supplemented with methyl donors (MD-LPD and MD-WD, respectively) for a minimum of 8 weeks prior to mating with C57BL/6 females. Mated females were culled at day 17 of gestation for the analysis of maternal metabolic, gut, cardiac and bone health. Paternal diet had minimal influences on maternal serum and hepatic metabolite levels or gut microbiota diversity. However, analysis of the maternal hepatic transcriptome revealed distinct profiles of differential gene expression in response to the diet of the father. Paternal LPD and MD-LPD resulted in differential expression of genes associated with lipid metabolism, transcription, ubiquitin conjugation and immunity in dams, while paternal WD and MD-WD modified the expression of genes associated with ubiquitin conjugation and cardiac morphology. Finally, we observed changes in maternal femur length, volume of trabecular bone, trabecular connectivity, volume of the cortical medullar cavity and thickness of the cortical bone in response to the father's diets. Our current study demonstrates that poor paternal diet at the time of mating can influence the patterns of maternal metabolism and gestation-associated adaptations to her physiology.

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Adaptación Fisiológica , Ratones Endogámicos C57BL , Animales , Femenino , Embarazo , Masculino , Ratones , Fenómenos Fisiologicos Nutricionales Maternos , Dieta Occidental , Hígado/metabolismo , Dieta con Restricción de Proteínas , Microbioma Gastrointestinal , Dieta , Dieta Alta en Grasa/efectos adversos , Fenómenos Fisiológicos Nutricionales de los Animales

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Background: High-molecular-weight adiponectin (HMW-adiponectin) is a cardio-metabolic health protector. Objectives: (1) to compare body mass index (BMI), cardiorespiratory fitness (CRF) and muscle strength (MS) in healthy school-children depending on their baseline salivary-HMW-adiponectin concentration; and (2) to apply a 3-month integrated neuromuscular training (INT) and evaluate its effects on salivary-HMW-adiponectin concentration, BMI, CRF and MS in the same children. Additional goal: to identify if any potential changes during the 3-month period may be related to a potential change in salivary-HMW-adiponectin concentration. Methods: Ninety children (7.4 ± 0.3 years) were recruited in primary schools and randomly allocated into control or intervention group. The intervention consisted of a 3-month INT applied during physical education (PE) classes, twice-weekly, while the control group had traditional PE classes. Body mass and height were measured, BMI was calculated and HMW-adiponectin was quantified in saliva. To assess CRF and MS, 800 m-run and hand-dynamometry were applied, respectively. All measurements were performed twice, at baseline and after 3 months. Results: Children with higher baseline salivary-HMW-adiponectin have more favorable BMI (p = 0.006) and slightly higher CRF (p = 0.017) in comparison to the children with lower baseline salivary-HMW-adiponectin. There were no big changes after the 3-month-period neither in the control, nor the INT group. However, it is worthy to note that the INT induced slightly higher increase in salivary-HMW-adiponectin (p = 0.007), and a slightly higher improvement in BMI (p = 0.028), CRF (p = 0.043) and MS (p = 0.003), as compared to the traditional PE classes. Finally, the INT-induced improvement in CRF was associated with the increased post-salivary-HMW-adiponectin concentration (p = 0.022). Conclusion: Main findings may suggest the potential utility of an INT as a cost-effective strategy that can be applied in schools to induce cardio-protective effects in school-children.

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Adiponectina , Índice de Masa Corporal , Capacidad Cardiovascular , Fuerza Muscular , Educación y Entrenamiento Físico , Saliva , Humanos , Capacidad Cardiovascular/fisiología , Niño , Adiponectina/análisis , Masculino , Femenino , Saliva/química , Fuerza Muscular/fisiología , Educación y Entrenamiento Físico/métodos , Instituciones Académicas , Peso Molecular

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BACKGROUND: The association between iron biomarkers and cardiovascular disease risk factors (CVD-RFs) remains unclear. We aimed to (1) evaluate the cross-sectional and longitudinal associations between iron biomarkers (serum ferritin, transferrin saturation (TSAT), transferrin) and CVD-RFs among women, and (2) explore if these associations were modified by menopausal status. METHOD: Cross-sectional and longitudinal analyses including 2542 and 1482 women from CoLaus cohort, respectively. Multiple linear regression and multilevel mixed models were used to analyse the associations between Iron biomarkers and CVD-RFs. Variability of outcomes and iron markers between surveys was accessed using intraclass correlation (ICC). RESULTS: After multivariable adjustment, elevated serum ferritin levels were associated with increased insulin and glucose levels, while higher transferrin levels were linked to elevated glucose, insulin and total cholesterol, and systolic and diastolic blood pressure (p < 0.05). No association was observed between CVD-RFs and TSAT (p > 0.05). Iron biomarkers demonstrated low reliability across reproductive stages but exhibited stronger associations in the perimenopausal group. In longitudinal analysis, we found association only for transferrin with lower glucose levels [ß = - 0.59, 95% CI (- 1.10, - 0.08), p = 0.02] and lower diastolic blood pressure [ß = - 7.81, 95% CI (- 15.9, - 0.56), p = 0.04]. CONCLUSION: In cross-sectional analysis, transferrin was associated with several CVD-RFs, and the associations did not change according to menopausal status. Conversely, in the longitudinal analyses, changes in transferrin were associated only with lower glucose and diastolic blood pressure levels. These differences might stem from the substantial longitudinal variation of iron biomarkers, underscoring the need for multiple iron measurements in longitudinal analyses.

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Biomarcadores , Enfermedades Cardiovasculares , Ferritinas , Factores de Riesgo de Enfermedad Cardiaca , Posmenopausia , Transferrina , Humanos , Femenino , Biomarcadores/sangre , Estudios Transversales , Persona de Mediana Edad , Ferritinas/sangre , Estudios Longitudinales , Enfermedades Cardiovasculares/diagnóstico , Enfermedades Cardiovasculares/epidemiología , Enfermedades Cardiovasculares/sangre , Transferrina/metabolismo , Transferrina/análisis , Posmenopausia/sangre , Medición de Riesgo , Adulto , Hierro/sangre , Factores de Tiempo , Brasil/epidemiología , Anciano , Glucemia/metabolismo , Reproducibilidad de los Resultados , Factores de Edad

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Comorbidity is widespread in the ageing population, implying multiple and complex medical needs for individuals and a public health burden. Determining risk factors and predicting comorbidity development can help identify at-risk subjects and design prevention strategies. Using socio-demographic and clinical data from approximately 11,000 subjects monitored over 11 years in the English Longitudinal Study of Ageing, we develop a dynamic Bayesian network (DBN) to model the onset and interaction of three cardio-metabolic comorbidities, namely type 2 diabetes (T2D), hypertension, and heart problems. The DBN allows us to identify risk factors for developing each morbidity, simulate ageing progression over time, and stratify the population based on the risk of outcome occurrence. By applying hierarchical agglomerative clustering to the simulated, dynamic risk of experiencing morbidities, we identified patients with similar risk patterns and the variables contributing to their discrimination. The network reveals a direct joint effect of biomarkers and lifestyle on outcomes over time, such as the impact of fasting glucose, HbA1c, and BMI on T2D development. Mediated cross-relationships between comorbidities also emerge, showcasing the interconnected nature of these health issues. The model presents good calibration and discrimination ability, particularly in predicting the onset of T2D (iAUC-ROC = 0.828, iAUC-PR = 0.294) and survival (iAUC-ROC = 0.827, iAUC-PR = 0.311). Stratification analysis unveils two distinct clusters for all comorbidities, effectively discriminated by variables like HbA1c for T2D and age at baseline for heart problems. The developed DBN constitutes an effective, highly-explainable predictive risk tool for simulating and stratifying the dynamic risk of developing cardio-metabolic comorbidities. Its use could help identify the effects of risk factors and develop health policies that prevent the occurrence of comorbidities.

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Envejecimiento , Teorema de Bayes , Comorbilidad , Diabetes Mellitus Tipo 2 , Modelos Estadísticos , Humanos , Diabetes Mellitus Tipo 2/epidemiología , Femenino , Masculino , Anciano , Persona de Mediana Edad , Estudios Longitudinales , Factores de Riesgo , Hipertensión/epidemiología , Adulto , Anciano de 80 o más Años , Cardiopatías/epidemiología

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Background: This study aimed to examine the effects of different types of skipped meals on cardiometabolic risk factors (CMRF) in Korean adults. Methods: We analyzed 14,062 adults from the Korea National Health and Nutrition Examination Survey conducted between 2016 and 2018. The irregularity of breakfast, lunch, and dinner consumption was assessed using 24-hour recall data, and we categorized the habit of skipping regular meals into eight types. Multiple linear regression was used to estimate the association between each type of meal skipping and the CMRF. We also presented the estimated effects of individual types of meal skipping on the CMRF based on their predicted values and mean differences. Results: Korean adults tended to have irregular meal consumption habits when they had one or more of the following characteristics: female sex, under the age of 50 years, middle-high to high household income, high school or college or higher education levels, alcohol consumption, and current smoking. Compared to regular eaters, we have observed significantly higher total cholesterol in the following types of meal skipping: irregular breakfast (IB) (P<0.001), irregular lunch (P=0.005), irregular breakfast and lunch (IBL) (P=0.001), irregular breakfast and dinner (P=0.001); higher low-density lipoprotein-cholesterol in IB (P=0.009); higher triglyceride in IB (P=0.005) and IBL (P=0.034); and higher fasting glucose in IB (P=0.046). Conclusion: Different types of meal skipping were associated with CMRF. Regular breakfast and lunch consumption should be emphasized to prevent and manage cardiometabolic disorders. However, skipping dinner showed no significant association with CMRF.

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Background: Cardio-metabolic risk factors play a crucial role in the development of cardiovascular and metabolic diseases. Basal metabolic rate (BMR) is a fundamental physiological parameter that affects energy expenditure and might contribute to variations in these risk factors. However, the exact relationship between BMR and cardio-metabolic risk factors has remained unclear. Methods: We employed Mendelian Randomization (MR) analysis to explore the association between BMR (N: 534,045) and various cardio-metabolic risk factors, including body mass index (BMI, N: 681,275), fasting glucose (N: 200,622), high-density lipoprotein (HDL) cholesterol (N = 403,943), low-density lipoprotein (LDL) cholesterol (N = 431,167), total cholesterol (N: 344,278), and triglycerides (N: 441,016), C-reactive protein (N: 436,939), waist circumference (N: 232,101), systolic blood pressure (N: 810,865), diastolic blood pressure (N: 810,865), glycated haemoglobin (N: 389,889), and N-terminal prohormone brain natriuretic peptide (N: 21,758). We leveraged genetic variants strongly associated with BMR as instrumental variables to investigate potential causal relationships, with the primary analysis using the Inverse Variance Weighted (IVW) method. Results: Our MR analysis revealed compelling evidence of a causal link between BMR and specific cardio-metabolic risk factors. Specifically, genetically determined higher BMR was associated with an increased BMI (ß = 0.7538, 95% confidence interval [CI]: 0.6418 to 0.8659, p < 0.001), lower levels of HDL cholesterol (ß = -0.3293, 95% CI: 0.4474 to -0.2111, p < 0.001), higher levels of triglycerides (ß = 0.1472, 95% CI: 0.0370 to 0.2574, p = 0.0088), waist circumference (ß = 0.4416, 95% CI: 0.2949 to 0.5883, p < 0.001), and glycated haemoglobin (ß = 0.1037, 95% CI: 0.0080 to 0.1995, p = 0.0377). However, we did not observe any significant association between BMR and fasting glucose, LDL cholesterol, total cholesterol, C-reactive protein, systolic blood pressure, diastolic blood pressure, or N-terminal prohormone brain natriuretic peptide (all p-values>0.05). Conclusion: This MR study provides valuable insights into the relationship between BMR and cardio-metabolic risk factors. Understanding the causal links between BMR and these factors could have important implications for the development of targeted interventions and therapies.

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BACKGROUND: Cardio-metabolic disorders (CMDs) are common in aging people and are pivotal risk factors for cardiovascular diseases (CVDs). Inflammation is involved in the pathogenesis of CVDs and aging, but the underlying inflammatory molecular phenotypes in CMDs and aging are still unknown. METHOD: We utilized multiple proteomics to detect 368 inflammatory proteins in the plasma of 30 subjects, including healthy young individuals, healthy elderly individuals, and elderly individuals with CMDs, by Proximity Extension Assay technology (PEA, O-link). Protein-protein interaction (PPI) network and functional modules were constructed to explore hub proteins in differentially expressed proteins (DEPs). The correlation between proteins and clinical traits of CMDs was analyzed and diagnostic value for CMDs of proteins was evaluated by ROC curve analysis. RESULT: Our results revealed that there were 161 DEPs (adjusted p < 0.05) in normal aging and EGF was the most differentially expressed hub protein in normal aging. Twenty-eight DEPs were found in elderly individuals with CMDs and MMP1 was the most differentially expressed hub protein in CMDs. After the intersection of DEPs in aging and CMDs, there were 10 overlapping proteins: SHMT1, MVK, EGLN1, SLC39A5, NCF2, CXCL6, IRAK4, REG4, PTPN6, and PRDX5. These proteins were significantly correlated with the level of HDL-C, TG, or FPG in plasma. They were verified to have good diagnostic value for CMDs in aging with an AUC > 0.7. Among these, EGLN1, NCF2, REG4, and SLC39A2 were prominently increased both in normal aging and aging with CMDs. CONCLUSION: Our results could reveal molecular markers for normal aging and CMDs, which need to be further expanded the sample size and to be further investigated to predict their significance for CVDs.

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Background/methods: The impact of clinical pharmacist on undiagnosed pregnancy hyperglycemia (PHG) in mid- and late- pregnancy as a major preventable cause of maternal and neonatal (M/N) complications is investigated. This longitudinal randomized controlled study of changes in plasma levels of predictive/prognostic/diagnostic biomarkers of oxytocin, thrombospondin, MCP1, IL6, MIF, insulin and LAR and undesirable M/N pregnancy outcomes in women with/out PHG (pregnancy normoglycemia; PNG) following the implementation of clinical pharmacist interventions were investigated. Results: A total of 68 PHG (36 intervention vs. 32 non-intervention) vs. 21 PNG participants were enrolled at 20–28 weeks and followed up till delivery. BMI of intervention PHG (unlike non-intervention) was greater (p=0.036) compared to PNG’s. LAR and insulin, oxytocin, thrombospondin1, adiponectin and MCP1 plasma levels and their differences between 2nd and 3rd pregnancy trimesters lacked discrepancies in participants. Both PHG groups in mid pregnancy had substantially greater HbA1c %, FPG and IL6 levels vs. PNG, while PHG non-intervention’ leptin was greater than PNG’s. In late pregnancy, greater SBP, IL6 and MIF levels between either PHG groups vs. PNG’s were observed. Unlike PHG non-intervention and PNG; IL6 level in PHG intervention group decreased (-2.54±6.61; vs. non-intervention PHG’s 4.26±5.28; p<0.001 and vs. PNG’s 2.30±4.27; p=0.023). None of the assessed M/N outcomes was found of differential significance between any of the three study groups. Conclusions: Proinflammatory IL6 as a robust and generalizable cardiometabolic risk-based and related pharmacotherapy biomarker in mid and late hyperglycemic pregnancy with likely implications of novel therapeutic targets was delineated by clinical pharmacist interventions.(AU)

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Humanos , Femenino , Embarazo , Farmacéuticos , Plasma/efectos de los fármacos , Complicaciones del Embarazo , Hiperglucemia , Trombospondinas/administración & dosificación , Oxitocina , Farmacocinética , Estudios Longitudinales , Biomarcadores Farmacológicos

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Diabetes Mellitus , Insuficiencia Renal Crónica , Humanos , Salud Pública

RESUMEN

The Inuit population of Nunavik is faced with a significant rise in the prevalence of obesity [body mass index (BMI) ≥ 30 kg/m2], but the impact on cardiometabolic health is unclear. The aim of this study was to characterize adiposity phenotypes and explore their associations with cardiometabolic risk factors among Nunavimmiut men and women. We used data obtained from 1296 Inuit who participated in the Qanuilirpitaa? 2017 Nunavik Inuit Health survey. Collected information included demographics, anthropometric measurements including visceral fat level (VFL) measured using electrical bioimpedance, biomarkers, hemodynamics, medical history and medication list. Adjusted population-weighted linear regressions were conducted to assess associations between body fat distribution and cardiometabolic risk factors. The accuracy and cut-off points of anthropometric indices to detect cardiometabolic abnormalities was evaluated by area under the receiver operator characteristic curve (AUROC) and a maximum Youden index analysis. Among Nunavimmiut (mean age 38.8 years [95%CI: 38.4 to 39.3]), obesity was observed in 42.8% of women and 25.6% of men. Compared to men, women presented a higher prevalence of abdominal obesity (78.8% vs. 46.4% in men, p < 0.05) and elevated VFL (54.4% vs. 20.1% with an InBody level ≥ 13, p < 0.05). Indices of global fat distribution and abdominal adiposity including VFL provided poor to moderate ability to detect cardiometabolic abnormalities (AUROC between 0.64 and 0.79). This analysis revealed that despite a high prevalence of abdominal obesity, particularly among women, anthropometric measurements of adiposity are inconsistently associated cardio-metabolic risk factors in Inuit adults of Nunavik.

Asunto(s)

Adiposidad , Enfermedades Cardiovasculares , Adulto , Masculino , Humanos , Femenino , Obesidad Abdominal/complicaciones , Inuk , Obesidad/epidemiología , Factores de Riesgo , Índice de Masa Corporal , Enfermedades Cardiovasculares/epidemiología , Fenotipo

RESUMEN

OBJECTIVE: To analyze the prevalence of cardio-metabolic(CM) risk in women aged 15-49 years in 4 provinces of China and the influence of socioeconomic factors on them. METHODS: A total of 2851 women aged 15-49 years from Community-based Cohort Study on Nervous System Disease in 2018 were selected. Obesity, central obesity, elevated triglyceride(TG), elevated total cholesterol(TC), decreased high-density lipoprotein cholesterol(HDL-C), elevated low-density lipoprotein cholesterol(LDL-C), elevated blood pressure, elevated blood glucose and risk factor aggregation were analyzed. χ~2 test was used for univariate analysis, multinomial Logit model was used to evaluate the relationship between socioeconomic factors and CM risk factors, and Cochran-Armitage trend test was used for trend analysis. RESULTS: The detection rate of CM risk factors in this study from high to low were central obesity(26.76%), overweight(22.41%), pre central obesity(17.47%), decreased HDL-C(15.36%), elevated TG(11.78%), borderline elevated TC(11.40%), borderline elevated TG(11.12%), elevated blood pressure(9.71%) and hypertension(9.12%). The prevalence rates of CM risk factors were different among different age groups, income groups and education levels(P<0.05). In addition to decreased HDL-C, the prevalence of other metabolic risk factors increased with age(P_(trend)<0.05). With the improvement of educational level, the prevalence rates of overweight, obesity, central obesity, central obesity, elevated TG, decreased HDL-C, elevated blood pressure, hypertension, elevated blood pressure and diabetes showed a downward trend(P_(trend)<0.05). Multinomial Logit model showed that the rick of metabolic risk factors in the age group of 40 to 49 years old was higher than that in the younger age group aged 15-29 years, and was more significant in hypertension, elevated blood pressure and elevated blood glucose, which were 8.51 times(95% CI 5.45-13.27), 3.14 times(95%CI 2.20-4.48)and 2.66(95% CI 1.52-4.66)times of the younger age group, respectively. Women with high-income level have a higher risk of borderline elevated TC, elevated TC and borderline elevated LDL-C(OR=1.85, 95% CI 1.44-2.38;OR=2.01, 95% CI 1.25-3.22;OR=2.16, 95% CI 1.61-2.90), but the lower risk of overweight and elevated blood pressure(OR=0.79, 95% CI 0.64-0.98;OR=0.69, 95% CI 0.50-0.94). The risk of obesity, hypertension and diabetes of people with college degree or above was about 50% lower than those with junior high school education or below(OR=0.52, 95% CI 0.35-0.78;OR=0.43, 95% CI 0.27-0.67; OR=0.52, 95% CI 0.28-0.96). CONCLUSION: Central obesity, overweight, pre central obesity and HDL-C decrease were prominent CM risk factors in women aged 15-49 years in four provinces of China in 2018. The detection rate of CM risk factors is higher in women of high age group or low education level.

Asunto(s)

Diabetes Mellitus , Hipertensión , Humanos , Femenino , Adulto , Persona de Mediana Edad , Preescolar , Obesidad Abdominal , Sobrepeso/epidemiología , Glucemia , LDL-Colesterol , Estudios de Cohortes , Factores de Riesgo , Hipertensión/epidemiología , Obesidad/epidemiología , China/epidemiología

RESUMEN

The co-occurrence of insulin resistance (IR)-related metabolic conditions with neuropsychiatric disorders is a complex public health challenge. Evidence of the genetic links between these phenotypes is emerging, but little is currently known about the genomic regions and biological functions that are involved. To address this, we performed Local Analysis of [co]Variant Association (LAVA) using large-scale (N=9,725-933,970) genome-wide association studies (GWASs) results for three IR-related conditions (type 2 diabetes mellitus, obesity, and metabolic syndrome) and nine neuropsychiatric disorders. Subsequently, positional and expression quantitative trait locus (eQTL)-based gene mapping and downstream functional genomic analyses were performed on the significant loci. Patterns of negative and positive local genetic correlations (|rg|=0.21-1, pFDR<0.05) were identified at 109 unique genomic regions across all phenotype pairs. Local correlations emerged even in the absence of global genetic correlations between IR-related conditions and Alzheimer's disease, bipolar disorder, and Tourette's syndrome. Genes mapped to the correlated regions showed enrichment in biological pathways integral to immune-inflammatory function, vesicle trafficking, insulin signalling, oxygen transport, and lipid metabolism. Colocalisation analyses further prioritised 10 genetically correlated regions for likely harbouring shared causal variants, displaying high deleterious or regulatory potential. These variants were found within or in close proximity to genes, such as SLC39A8 and HLA-DRB1, that can be targeted by supplements and already known drugs, including omega-3/6 fatty acids, immunomodulatory, antihypertensive, and cholesterol-lowering drugs. Overall, our findings underscore the complex genetic landscape of IR-neuropsychiatric multimorbidity, advocating for an integrated disease model and offering novel insights for research and treatment strategies in this domain.