Correlation between obesity and early vascular aging in middle-aged and young adult health check-up populations. / ä¸­é’å¹´å¥åº·ä½“æ£€äººç¾¤è‚¥èƒ–ä¸Žæ—©å‘è¡€ç®¡è€åŒ–çš„ç›¸å ³æ€§.

OBJECTIVES: The obesity rate among middle-aged and young adults in China is increasing annually, and the incidence of cardiovascular diseases is becoming more prevalent in younger populations. However, it has not yet been reported whether obesity is associated with early vascular aging (EVA). This study aims to explore the correlation between obesity and EVA in middle-aged and young adult health check-up populations, providing a reference for the prevention of cardiovascular diseases. METHODS: A total of 15 464 middle-aged and young adults aged 18-59 who completed brachial-ankle pulse wave velocity (baPWV) test in the Third Xiangya Hospital of Central South University from January to December 2020 were included. Among them, 1 965 individuals with normal blood pressure and no cardiovascular risk factors were selected as the healthy population. The baPWV thresholds for determining EVA in each age group for males and females were calculated based on the baPWV values of the healthy population. The number and percentage of individuals meeting the EVA criteria in the middle-aged and young adult health check-up populations were statistically analyzed by age and gender. The differences in obesity indicators [visceral adiposity index (VAI), body mass index (BMI), waist circumference (WC)] between the EVA and non-EVA groups for males and females were compared. Using EVA as the dependent variable, VAI, BMI, and WC were included as independent variables in a Logistic model to analyze the correlation between each obesity indicator and EVA before and after adjusting for other influencing factors. Furthermore, the correlation between each obesity indicator and EVA in each age group was analyzed. RESULTS: In the health check-up populations, the detection rate of EVA in different age groups was 1.65%-10.92% for males, and 1.16%-10.50% for females, the detection rate of EVA increased with age in both males and females. Except for the 40-<50 age group, the EVA detection rate was higher in males than in females in all other age groups. Regardless of gender, obesity indicators VAI, BMI, and WC were significantly higher in the EVA group than in the non-EVA group (all P<0.01). Before and after adjusting for other influencing factors, VAI and WC were both correlated with EVA (both P<0.05). BMI was a risk factor for EVA before adjusting for other influencing factors (P<0.01), but after adjustment, the correlation between BMI and EVA was not statistically significant (P=0.05). After adjusting for other influencing factors, the correlation between VAI and EVA was statistically significant in the 18-<40 and 50-<60 age groups (both P<0.05), while the correlation between BMI and WC with EVA was not statistically significant (both P>0.05). In the 40-<50 age group, the correlation between VAI and BMI with EVA was not statistically significant (both P>0.05), but the correlation between WC and EVA was statistically significant (P<0.01). CONCLUSIONS: VAI is closely related to the occurrence of EVA in middle-aged and young adults aged 18-<40 and 50-<60 years, while WC is closely related to the occurrence of EVA in those aged 40-<50 years.

Association of Long-term Ambient Fine Particulate Matter (PM2.5) and Incident CKD: A Prospective Cohort Study in China.

RATIONALE & OBJECTIVE: Increasing evidence has linked ambient fine particulate matter (ie, particulate matter no larger than 2.5 µm [PM2.5]) to chronic kidney disease (CKD), but their association has not been fully elucidated, especially in regions with high levels of PM2.5 pollution. This study aimed to investigate the long-term association of high PM2.5 exposure with incident CKD in mainland China. STUDY DESIGN: Prospective cohort study. SETTING & PARTICIPANTS: 72,425 participants (age ≥18 years) without CKD were recruited from 121 counties in Hunan Province, China. EXPOSURE: Annual mean PM2.5 concentration at the residence of each participant derived from a long-term, full-coverage, high-resolution (1 × 1 km2), high-quality dataset of ground-level air pollutants in China. OUTCOMES: Incident CKD during the interval between the baseline examination of each participant (2005-2017) and the end of follow-up through 2018. ANALYTICAL APPROACH: Cox proportional hazards models were used to estimate the independent association of PM2.5 with incident CKD and the joint association of PM2.5 with temperature or humidity on the development of PM2.5-related CKD. Restricted cubic splines were used to model exposure-response relationships. RESULTS: Over a median follow-up of 3.79 (IQR, 2.03-5.48) years, a total of 2,188 participants with incident CKD were identified. PM2.5 exposure was associated with incident CKD with an adjusted hazard ratio of 1.71 (95% CI, 1.58-1.85) per 10-µg/m3 greater long-term exposure. Multiplicative interactions between PM2.5 and humidity or temperature on incident CKD were detected (all P < 0.001 for interaction), whereas an additive interaction was detected only for humidity (relative risk due to interaction, 3.59 [95% CI, 0.97-6.21]). LIMITATIONS: Lack of information on participants' activity patterns such as time spent outdoors. CONCLUSIONS: Greater long-term ambient PM2.5 pollution is associated with incident CKD in environments with high PM2.5 exposure. Ambient humidity has a potentially synergetic effect on the association of PM2.5 with the development of CKD. PLAIN-LANGUAGE SUMMARY: Exposure to a form of air pollution known as fine particulate matter (ie, particulate matter ≤2.5 µm [PM2.5]) has been linked to an increased risk of chronic kidney disease (CKD), but little is known about how PM2.5 affects CKD in regions with extremely high levels of PM2.5 pollution. This longitudinal cohort study in China investigates the effect of PM2.5 on the incidence of CKD and whether temperature or humidity interact with PM2.5. Our findings suggest that long-term exposure to high levels of ambient PM2.5 significantly increased the risk of CKD in mainland China, especially in terms of cumulative average PM2.5. The associations of PM2.5 and incident CKD were greater in high-humidity environments. These findings support the recommendation that reducing PM2.5 pollution should be a priority to decrease the burden of associated health risks, including CKD.

Ubiquitin-specific protease 19 blunts pathological cardiac hypertrophy via inhibition of the TAK1-dependent pathway.

Ubiquitin-specific protease 19 (USP19) belongs to USP family and is involved in promoting skeletal muscle atrophy. Although USP19 is expressed in the heart, the role of USP19 in the heart disease remains unknown. The present study provides in vivo and in vitro data to reveal the role of USP19 in preventing pathological cardiac hypertrophy. We generated USP19-knockout mice and isolated neonatal rat cardiomyocytes (NRCMs) that overexpressed or were deficient in USP19 to investigate the effect of USP19 on transverse aortic constriction (TAC) or phenylephrine (PE)-mediated cardiac hypertrophy. Echocardiography, pathological and molecular analysis were used to determine the extent of cardiac hypertrophy, fibrosis, dysfunction and inflammation. USP19 expression was markedly increased in rodent hypertrophic heart or cardiomyocytes underwent TAC or PE culturing, the increase was mediated by the reduction of Seven In Absentia Homolog-2. The extent of TAC-induced cardiac hypertrophy, fibrosis, dysfunction and inflammation in USP19-knockout mice was exacerbated. Consistently, gain-of-function and loss-of-function approaches that involved USP19 in cardiomyocytes suggested that the down-regulation of USP19 promoted the hypertrophic phenotype, while the up-regulation of USP19 improved the worsened phenotype. Mechanistically, the USP19-elicited cardiac hypertrophy improvement was attributed to the abrogation of the transforming growth factor beta-activated kinase 1 (TAK1)-p38/JNK1/2 transduction. Furthermore, the inhibition of TAK1 abolished the aggravated hypertrophy induced by the loss of USP19. In conclusion, the present study revealed that USP19 and the downstream of TAK1-p38/JNK1/2 signalling pathway might be a potential target to attenuate pathological cardiac hypertrophy.

Hepatic leukocyte immunoglobulin-like receptor B4 (LILRB4) attenuates nonalcoholic fatty liver disease via SHP1-TRAF6 pathway.

Nonalcoholic fatty liver disease (NAFLD) is an increasingly prevalent liver pathology characterized by hepatic steatosis and commonly accompanied by systematic inflammation and metabolic disorder. Despite an accumulating number of studies, no pharmacological strategy is available to treat this condition in the clinic. In this study, we applied extensive gain- and loss-of-function approaches to identify the key immune factor leukocyte immunoglobulin-like receptor B4 (LILRB4) as a negative regulator of NAFLD. The hepatocyte-specific knockout of LILRB4 (LILRB4-HKO) exacerbated high-fat diet-induced insulin resistance, glucose metabolic imbalance, hepatic lipid accumulation, and systematic inflammation in mice, whereas LILRB4 overexpression in hepatocytes showed a completely opposite phenotype relative to that of LILRB4-HKO mice when compared with their corresponding controls. Further investigations of molecular mechanisms demonstrated that LILRB4 recruits SHP1 to inhibit TRAF6 ubiquitination and subsequent inactivation of nuclear factor kappa B and mitogen-activated protein kinase cascades. From a therapeutic perspective, the overexpression of LILRB4 in a genetic model of NAFLD, ob/ob mice, largely reversed the inherent hepatic steatosis, inflammation, and metabolic disorder. CONCLUSION: Targeting hepatic LILRB4 to improve its expression or activation represents a promising strategy for the treatment of NAFLD as well as related liver and metabolic diseases. (Hepatology 2018;67:1303-1319).

The comorbidity of increased arterial stiffness and microalbuminuria in a survey of middle-aged adults in China.

BACKGROUND: Increased arterial stiffness (iAS) and microalbuminuria (MAU), which may occur simultaneously or separately in the general population and share similar risk factors, are markers of macro- and microvascular injuries. Our research investigated the comorbidity of iAS and MAU in the middle-aged population and examined the heterogeneous effects of metabolic risk factors on iAS and MAU. METHODS: We selected 11,911 individuals aged 45 to 60 years who underwent a health examination at the 3rd Xiangya Hospital between 2010 and 2014. Metabolic syndrome (MetS) was determined according to IDF/NHLBI/AHA-2009 criteria. Multinomial logistic regression was applied to evaluate the influence of MetS, components of MetS and clusters of MetS on the co-occurrence (MAU(+)/iAS(+)) or non-co-occurrence (MAU(+)/iAS(-) and MAU(-)/iAS(+)) of MAU and iAS. RESULTS: Reference group was MAU(-)/iAS(-). A positive effect of MetS on the presence of MAU(+)/iAS(-), MAU(-)/iAS(+), or MAU(+)/iAS(+) is listed in ascending order based on odds ratios (ORs = 2.11, 2.41, 4.61, respectively; P < 0.05). Compared with MAU(+)/iAS(-), Elevated blood pressure (BP) (OR = 1.62 vs. 4.83, P < 0.05), triglycerides(TG) (OR = 1.20 vs. 1.37, P < 0.05) were more strongly associated with MAU(-)/iAS(+), whereas fasting blood glucose (FBG) was less associated (OR = 1.37 vs. 1.31, P < 0.05). Decreased high-density lipoprotein cholesterol(HDL-c) (OR = 1.84, P < 0.01) and elevated waist circumference(WC) (OR = 1.28 P < 0.01) were the most strongly associated with MAU(+)/iAS(-). Compared with the individuals without MetS, individuals with the elevated BP, FBG, TG and decreased HDL-c cluster had the greatest likelihood of presenting a MAU(-)/iAS(+) (OR = 5.98, P < 0.01) and MAU(+)/iAS(+) (OR = 13.17, P < 0.01), these likelihood was even greater than the cluster with simultaneous alteration in all five MetS components (OR = 3.89 and 10.77, respectively, P < 0.01), which showed the most strongly association with MAU(+)/iAS(+) (OR = 5.22, P < 0.01). CONCLUSION: Based on the heterogeneous influences of MetS-related risk factors on MAU and iAS, these influences could be selectively targeted to identify different types of vascular injuries.

Regulator of G protein signalling 14 attenuates cardiac remodelling through the MEK-ERK1/2 signalling pathway.

In the past 10 years, several publications have highlighted the role of the regulator of G protein signalling (RGS) family in multiple diseases, including cardiovascular diseases. As one of the multifunctional family members, RGS14 is involved in various biological processes, such as synaptic plasticity, cell division, and phagocytosis. However, the role of RGS14 in cardiovascular diseases remains unclear. In the present study, we used a genetic approach to examine the role of RGS14 in pathological cardiac remodelling in vivo and in vitro. We observed that RGS14 was down-regulated in human failing hearts, murine hypertrophic hearts, and isolated hypertrophic cardiomyocytes. Moreover, the extent of aortic banding-induced cardiac hypertrophy and fibrosis was exacerbated in RGS14 knockout mice, whereas RGS14 transgenic mice exhibited a significantly alleviated response to pressure overload. Furthermore, research of the underlying mechanism revealed that the RGS14-dependent rescue of cardiac remodelling was attributed to the abrogation of mitogen-activated protein kinase (MEK)-extracellular signal-regulated protein kinase (ERK) 1/2 signalling. The results showed that constitutive activation of MEK1 nullified the cardiac protection in RGS14 transgenic mice, and inhibition of MEK-ERK1/2 by U0126 reversed RGS14 deletion-related hypertrophic aggravation. These results demonstrated that RGS14 attenuated the development of cardiac remodelling through MEK-ERK1/2 signalling. RGS14 exhibited great potential as a target for the treatment of pathological cardiac remodelling.

Lifestyle and Risk of Hypertension: Follow-Up of a Young Pre-Hypertensive Cohort.

OBJECTIVES: To determine whether healthy lifestyle decreases the risk of developing hypertension in pre-hypertensive patients. STUDY DESIGN: A longitudinal study. SETTING & PARTICIPANTS: Randomly selected pre-hypertensive young adults 20-45 years old without any vascular disease such as stroke or diabetes. PREDICTORS: Four lifestyle factors (a body mass index [BMI] of 18.5-24.9 kg/m2, regular physical activity, no alcohol use and 6-8 h of sleep per day), individually and in combination. OUTCOMES: Hypertension was defined as a systolic blood pressure (SBP) ≥ 140 mmHg, or a diastolic BP (DBP) ≥ 90 mmHg or self-reported hypertension. MEASUREMENTS: Multivariate adjusted Cox proportional hazards. RESULTS: During a median follow-up of 4.7 years, 1009 patients were enrolled in our study, and 182 patients developed hypertension. Compared with a BMI of 18.5-24.9 kg/m2, a BMI of 25-30 kg/m2 and a BMI of >30 kg/m2 were associated with an increased risk of hypertension occurrence (hazard ratio [HR], 1.83; 95% confidence interval [CI], 1.19-2.84 and HR, 2.62; 95% CI, 1.01-6.80, respectively). Compared with sleep duration of >8 h/day, 6-8 h/day of sleep was associated with a lower risk of hypertension occurrence (HR, 0.40; 95% CI, 0.18-0.86). There were no statistically significant associations between physical activity or alcohol use and hypertension occurrence (P>0.05). LIMITATION: All lifestyle factors were measured only once. CONCLUSION: Healthy BMI (18.5-24.9 kg/m(2)) and sleep duration (6-8 h/day) were associated with a lower risk of the occurrence of hypertension in pre-hypertension patients.

A cost-effective, machine learning-driven approach for screening arterial functional aging in a large-scale Chinese population.

Introduction: An easily accessible and cost-free machine learning model based on prior probabilities of vascular aging enables an application to pinpoint high-risk populations before physical checks and optimize healthcare investment. Methods: A dataset containing questionnaire responses and physical measurement parameters from 77,134 adults was extracted from the electronic records of the Health Management Center at the Third Xiangya Hospital. The least absolute shrinkage and selection operator and recursive feature elimination-Lightweight Gradient Elevator were employed to select features from a pool of potential covariates. The participants were randomly divided into training (70%) and test cohorts (30%). Four machine learning algorithms were applied to build the screening models for elevated arterial stiffness (EAS), and the performance of models was evaluated by calculating the area under the receiver operating characteristic curve (AUC), sensitivity, specificity, and accuracy. Results: Fourteen easily accessible features were selected to construct the model, including "systolic blood pressure" (SBP), "age," "waist circumference," "history of hypertension," "sex," "exercise," "awareness of normal blood pressure," "eat fruit," "work intensity," "drink milk," "eat bean products," "smoking," "alcohol consumption," and "Irritableness." The extreme gradient boosting (XGBoost) model outperformed the other three models, achieving AUC values of 0.8722 and 0.8710 in the training and test sets, respectively. The most important five features are SBP, age, waist, history of hypertension, and sex. Conclusion: The XGBoost model ideally assesses the prior probability of the current EAS in the general population. The integration of the model into primary care facilities has the potential to lower medical expenses and enhance the management of arterial aging.

Novel use of structural equation modelling to examine diet and metabolic traits associated with microvascular endothelial dysfunction in middle-aged Chinese males: a cross-sectional study.

BACKGROUND: The present study aims to use structural equation modelling (SEM) with multiple regression pathways to examine direct and indirect links from diet and metabolic traits to microvascular endothelial dysfunction (ED) among middle-aged Chinese males. METHODS: The study was conducted in middle-aged Chinese males, who underwent a health check-up between 2018 and 2019. Data on lifestyle behaviour factors (physical activity, diet pattern, sleep quality and diet data underwent factor analysis in advance) and metabolic risk factors referring to metabolic traits were introduced into the SEM to examine inter-relationship among these factors and their association with ED, as evaluated by the reactive hyperaemia index (RHI). RESULTS: Both exploratory factor analysis and confirmatory factor analysis identified two major dietary patterns: 'prudent pattern' and 'western pattern'. The univariate test suggested that only triglycerides (TGs) and prudent dietary pattern were directly associated with RHI. Furthermore, prudent dietary pattern had an indirect association with RHI via TG (prudent diet→TG: ß=-0.15, p<0.05; TG→RHI: ß=-0.17, p<0.001). As to confirming the hypothesised association between variables apart, physical activity frequency was correlated to the decrease in TG (ß=-0.29, p<0.001), but had no direct correlation to RHI. CONCLUSION: The network of direct and indirect associations among diet pattern and cardiometabolic risk factors with RHI measured ED among middle-aged males. The most significant modifiable factors identified were TG and prudent diet pattern, which needs to be targeted as preventive strategies for early microvascular impairment.

Gut microbiome and risk of ischaemic stroke: a comprehensive Mendelian randomization study.

AIMS: Increasing evidence implicates the microbiome as a susceptibility factor for ischaemic stroke (IS). Interpretation of this evidence is difficult, for the composition of the microbiome is influenced by various factors and might affect differently in IS subtypes. We aim to determine if the specific gut microbiome is causally associated with IS subtypes and suggest potential approaches for stroke prevention. METHODS AND RESULTS: We conducted a two-sample Mendelian randomization (MR) analysis to test the causal relationship between gut microbiome and IS subtypes. For exposure data, we extracted genetic variants associated with 194 bacterial traits from MiBioGen consortium (n = 18 340). For outcomes, we selected three IS subtypes including cardioembolic stroke (CES, n = 410 484), small vessel stroke (SVS, n = 198 048), and large artery stroke (LAS, n = 198 048). Additionally, we performed a sequence of sensitivity analyses to validate preliminary MR results. There were four, three, and four bacteria showing an increased risk for LAS, SVS, and CES, respectively, and there were five, six, and five bacteria leading a decreasing risk for LAS, SVS, and CES, respectively. Amongst these, the genus_Intestinimonas showed negative associations with LAS [odds ratio (OR) = 0.77, 95% confidence interval (CI) (0.61-0.98)] and SVS (0.85, 0.73-0.98). The genus_LachnospiraceaeNK4A136group was genetically associated with decreased risk of both SVS (0.81, 0.66-0.99) and CES (0.75, 0.60-0.94). CONCLUSION: The study revealed the causal effect of the abundance of specific bacterial features on the risk of IS subtypes. Notably, genus_Intestinimonas and genus_LachnospiraceaeNK4A136group displayed significant protection against more than one IS subtype, further suggesting potential applications of targeted probiotics in IS prevention.

This Mendelian randomization study supports the causal effects of the gut microbiome on ischaemic stroke. Several types of intestinal bacterial traits were detected to potentially increase or decrease the risk of incident ischaemic stroke. These may have prospects for the prevention of different ischaemic stroke subtypes. In addition, the clinical benefits of the gut microbiome should be further evaluated in future large-scale people research.