Relationship of long-term exposure to air pollutant mixture with metabolic-associated fatty liver disease and subtypes: A retrospective cohort study of the employed population of Southwest China.

BACKGROUND: While evidence suggests that PM2.5 is associated with overall prevalence of Metabolic (dysfunction)-Associated Fatty Liver Disease (MAFLD), effects of comprehensive air pollutant mixture on MAFLD and its subtypes remain unclear. OBJECTIVE: To investigate individual and joint effects of long-term exposure to comprehensive air pollutant mixture on MAFLD and its subtypes. METHODS: Data of 27,699 participants of the Chinese Cohort of Working Adults were analyzed. MAFLD and subtypes, including overweight/obesity, lean, and diabetes MAFLD, were diagnosed according to clinical guidelines. Concentrations of NO3-, SO42-, NH4+, organic matter (OM), black carbon (BC), PM2.5, SO2, NO2, O3 and CO were estimated as a weighted average over participants' residential and work addresses for the three years preceding outcome assessment. Logistic regression and weighted quantile sum regression were used to estimate individual and joint effects of air pollutant mixture on presence of MAFLD. RESULTS: Overall prevalence of MAFLD was 26.6 % with overweight/obesity, lean, and diabetes MAFLD accounting for 92.0 %, 6.4 %, and 1.6 %, respectively. Exposure to SO42-, NO3-, NH4+, BC, PM2.5, NO2, O3and CO was significantly associated with overall MAFLD, overweight/obesity MAFLD, or lean MAFLD in single pollutant models. Joint effects of air pollutant mixture were observed for overall MAFLD (OR = 1.10 [95 % CI: 1.03, 1.17]), overweight/obesity (1.09 [1.02, 1.15]), and lean MAFLD (1.63 [1.28, 2.07]). Contributions of individual air pollutants to joint effects were dominated by CO in overall and overweight/obesity MAFLD (Weights were 42.31 % and 45.87 %, respectively), while SO42- (36.34 %), SO2 (21.00 %) and BC (12.38 %) were more important in lean MAFLD. Being male, aged above 45 years and smoking increased joint effects of air pollutant mixture on overall MAFLD. CONCLUSIONS: Air pollutant mixture was associated with MAFLD, particularly the lean MAFLD subtype. CO played a pivotal role in both overall and overweight/obesity MAFLD, whereas SO42- were associated with lean MAFLD.

Triglyceride-Glucose Index is Related to Carotid Artery Plaque in Railway Workers: A Cross-Sectional Study.

Aim: China has the highest rail transportation density in the world. Compared to other occupational populations, railway workers in China face increased risk of chronic non-communicable diseases. This study aims to investigate the relationship between the triglyceride-glucose (TyG) index and carotid artery plaque (CAP) in a population of railway workers in southwest China. Methods: The cross-sectional study was conducted among 3169 railway workers who were categorized into four groups based on TyG index quartiles. The presence of CAP was assessed using carotid Doppler ultrasound. Logistic regression and restricted cubic spline analyses were used to estimate the association between TyG index and CAP, and subgroup analyses were performed based on age, blood pressure, metabolic dysfunction-associated fatty liver disease (MAFLD), smoking, drinking, and physical activity. Results: Participants with higher TyG index quartiles had a higher prevalence of CAP, with 11.63%, 14.11%, 20.20%, and 18.56% from the first to fourth quartile, respectively. The multi-adjusted logistic regression models showed a positive association between TyG index and the risk of CAP (odds ratio [OR]: 1.22, 95% confidence interval [CI]: 1.06-1.41) when treated as a continuous variable. When analyzed as a categorical variable with increasing TyG index tertiles, the risk of CAP substantially increased with ORs (95% CIs) of 1.22 (0.90-1.65) for the second quartile, 1.70 (1.27-2.28) for the third quartile, and 1.46 (1.08-1.98) for the fourth quartile compared to the lowest quartile. Restricted cubic spline revealed that the association gradually strengthened with the increase of the TyG index below 9.56. Conclusion: TyG index was significantly associated with CAP, notably in populations with elevated quartiles of TyG index among railway workers. Monitoring the TyG index could be a useful risk management strategy for CAP in occupation population.

Association between obese phenotypes and risk of carotid artery plaque among chinese male railway drivers.

BACKGROUND: China has the world's highest rail transportation network density, and the prevalence of obesity among railway workers in China is more than twice that of adults in the world. Carotid artery plaque (CAP) is a simple and noninvasive predictor of early atherosclerosis, while the association between different obese phenotypes and CAP risk among Chinese male railway drivers is unclear. METHODS: This cross-sectional study was performed among 8,645 Chinese male railway drivers. Obese phenotypes were assessed based on the obesity status (the body mass index ≥ 28 kg/m2 as obesity vs. < 28 kg/m2 as non-obesity) and metabolic status (metabolically healthy vs. metabolically unhealthy). Metabolically unhealthy was defined as the presence of at least one dysfunction, including elevated blood pressure, elevated fasting blood glucose, elevated triglyceride, and reduced high-density-lipoprotein cholesterol. Four obese phenotypes were defined based on the body mass index and metabolic status, i.e., metabolically healthy non-obesity (MHNO), metabolically healthy obesity (MHO), metabolically unhealthy obesity (MUO), and metabolically unhealthy non-obesity (MUNO). Multivariable logistic regression was employed to estimate the association between different obese phenotypes and the risk of CAP. Subgroup analysis was performed to examine the variation of the association by age, circadian rhythm disorders, and history of smoking and drinking. RESULTS: The prevalence of CAP among male railway drivers in MHO, MUO, MUNO, and MHNO was 8.75%, 18.67%, 17.82%, and 5.36%, respectively. Compared to those with MHNO, an increased risk for CAP was observed among those with MHO (OR = 2.18, 95% CI: 0.82, 5.10), MUO (OR = 1.78, 95% CI:1.44, 2.21), and MUNO (OR = 2.20, 95% CI: 1.67, 2.89). The subgroup analysis showed that both of the metabolically unhealthy groups (MUNO and MUO) aged < 45 years were prone to a higher risk of CAP (for the MUNO group, OR = 4.27, 95% CI:2.71, 7.10; for the MUO group, OR = 4.00, 95%CI: 2.26, 7.17). CONCLUSION: The obese phenotypes are associated with CAP risk in male railway drivers, especially those with metabolically unhealthy conditions aged < 45 years.

Geriatric nutritional risk index predicts all-cause mortality in patients with heart failure: A systematic review and meta-analysis

OBJECTIVES: Geriatric nutritional risk index (GNRI) might predict the all-cause mortality in patients with heart failure (HF). We performed a meta-analysis to evaluate the correlation between GNRI and all-cause mortality in patients with HF. METHODS: We searched the PubMed, Medline, Cochrane Library, and Embase databases for clinical trials investigating the association between GNRI and all-cause mortality in patients with HF, having the primary endpoint as all-cause mortality. RESULTS: In total, nine studies involving 7,659 subjects were included in the systematic review and meta-analysis. The results indicated that major risk and moderate risk GNRI (GNRI<92) was associated with an increased risk of all-cause mortality in elderly patients with HF (hazard ratios [HR] 1.59, 95% confidence intervals [CI] 1.37-1.85). Low risk GNRI (GNRI<98) group predicted all-cause mortality in elderly HF patients (HR 1.56, 95%CI 1.12-2.18) when compared with the high GNRI value group. A subgroup analysis indicated that the relationship between GNRI and HF might differ based on the subtype of heart failure. CONCLUSIONS: GNRI is a simple and well-established nutritional assessment tool to predict all-cause mortality in patients with HF.

Pharmaceutical prospects of naturally occurring quinazolinone and its derivatives.

Quinazolinones belong to a family of heterocyclic nitrogen compounds that have attracted increasing interest because of their broad spectrum of biological functions. This review describes three types of natural quinazolinones and their synthesized derivatives and summarizes their various pharmacological activities, including antifungal, anti-tumor, anti-malaria, anticonvulsant, anti-microbial, anti-inflammatory and antihyperlipidemic activities. In addition, structure-activity relationships of quinazolinone derivatives are also reviewed.

Citrus fruits as a treasure trove of active natural metabolites that potentially provide benefits for human health.

Citrus fruits, which are cultivated worldwide, have been recognized as some of the most high-consumption fruits in terms of energy, nutrients and health supplements. What is more, a number of these fruits have been used as traditional medicinal herbs to cure diseases in several Asian countries. Numerous studies have focused on Citrus secondary metabolites as well as bioactivities and have been intended to develop new chemotherapeutic or complementary medicine in recent decades. Citrus-derived secondary metabolites, including flavonoids, alkaloids, limonoids, coumarins, carotenoids, phenolic acids and essential oils, are of vital importance to human health due to their active properties. These characteristics include anti-oxidative, anti-inflammatory, anti-cancer, as well as cardiovascular protective effects, neuroprotective effects, etc. This review summarizes the global distribution and taxonomy, numerous secondary metabolites and bioactivities of Citrus fruits to provide a reference for further study. Flavonoids as characteristic bioactive metabolites in Citrus fruits are mainly introduced.

Diversified bioactivities of four types of naturally occurring quinochalcones.

Quinochalcones, quinone-containing chalcones, belong to the flavonoid family and have attracted increasing popularity in Western countries in the last decade due to their pharmacological activities. This review describes four types of naturally occurring quinochalcones and summarizes their different pharmacological activities, including anti-cerebral ischemia, anti-tumor, and anti-infection activities. In addition, the pharmacological activities and relevant structure-activity relationships of synthetic quinochalcones are also reviewed.