In order to search for coumarin-based anti-platelet aggregation compounds with high efficacy and good druggability,twenty-five 3-acetyl-7-hydroxy-coumarin oxime derivatives(6a-6y)were synthesized via Vilsmeier-Haack reaction,Knoevenagel reaction,Williamson reaction,electrophilic substitution reaction and oximation reaction from resorcinol.Their structures were confirmed by HRMS and 1H NMR spectra.The anti-platelet aggregation activity of the target compounds was evaluated using Born's turbidimetric method.The results revealed that most of them could significantly inhibit platelet aggregation induced by adenosine diphosphate(ADP),collagen,arachidonic acid(AA)and thrombin.Among them,the target compounds 6a and 6b not only had strong inhibitory activity on platelet aggregation induced by the four inducers,but also exhibited good water solubility(3.46 mg/mL and 3.85 mg/mL,respectively)and lipid-water partition coefficient(2.56 and 2.85,respectively)and were expected to become a preclinical candidate compound with multi-target action against platelet aggregation.

Objective:To explore the relationship between insomnia and osteoporosis.Methods:Mendelian randomization (MR) analysis were used in this study. The single nucleotide polymorphisms (SNPs) related to insomnia from genome-wide association analysis research data were selected as the instrumental variables by using inverse variance weighted (IVW), MR-Egger regression, weighted median method, maximum likelihood, penalized weighted median estimator, and Mendelian randomization robust adjusted profile score (MR-RAPS) to determine the causal relationship between insomnia and osteoporosis. Odds ratio ( OR) and 95% confidence interval ( CI) values were used to evaluate the association between insomnia and osteoporosis. Cochran′s Q-test was used to detect heterogeneity of SNPs, MR-Egger regression was used to test for level pleiotropy, and the leave-one-out method was used to test sensitivity, MR pleiotropy residual sum and outlier (MR-PRESSO) method and radial MR were used to detect erroneous outliers. Results:The screening criteria were set based on the three major assumptions of MR; finally, 31 SNPs were included in the MR analysis. The results of MR causal effect analysis using the IVW method showed that insomnia increased the risk of osteoporosis by about 0.7% ( OR=1.007, 95% CI 1.001-1.014, P=0.044); heterogeneity testing showed heterogeneity between SNPs ( Q=57.91, P<0.001); and the MR- Egger intercept test did not indicate horizontal pleiotropy in this study (intercept value=3.807×10 -5, P=0.888). Leave-one-out method showed that no single SNP had a significant impact on the overall results. No abnormal SNP was detected according to the MR-PRESSO results ( P=0.059), and radial MR did not detect any outliers. Conclusion:Mendelian randomization analysis showed that insomnia can increase the risk of osteoporosis.

Introduction::The triglyceride to high-density lipoprotein cholesterol (TG/HDL-C) ratio, a novel biomarker for metabolic syndrome (MetS), has been validated in the general population as being significantly correlated with cardiovascular disease (CVD) risk. However, its capabilities to predict CVD in people living with human immunodeficiency virus (HIV; PLWH) remain underexplored.Methods::We conducted a retrospective cohort study of 16,081 PLWH who initiated antiretroviral therapy (ART) at the Third People’s Hospital of Shenzhen (China) from 2005 to 2022. The baseline TG/HDL-C ratio was calculated as TG (mmol/L) divided by HDL-C (mmol/L). We employed a multivariate Cox proportional hazards model to assess the association between the TG/HDL-C ratio and CVD occurrence, using Kaplan-Meier curves and log-rank tests to compare survival distributions. The increase in prediction risk upon the addition of the biomarker to the conventional risk model was examined through the assessment of changes in net reclassification improvement (NRI) and integrated discrimination improvement (IDI). Nonlinear relationships were investigated using a restricted cubic spline plot, complemented by a two-piecewise Cox proportional hazards model to analyze threshold effects.Results::At the median follow-up of 70 months, 213 PLWH developed CVD. Kaplan-Meier curves demonstrated a significant association between the increased risk of CVD and a higher TG/HDL-C ratio (log-rank P <0.001). The multivariate-adjusted Cox proportional hazards regression model indicated that the CVD hazard ratios (HR) (95% confidence intervals [95% CIs]) for Q2, Q3, and Q4 versus Q1 of the TG/HDL-C ratio were 2.07 (1.24, 3.45), 2.17 (1.32, 3.57), and 2.20 (1.35, 3.58), respectively ( P <0.05). The consideration of the TG/HDL-C ratio in the model, which included all significant factors for CVD incidence, improved the predictive risk, as indicated by the reclassification metrics (NRI 16.43%, 95% CI 3.35%-29.52%, P = 0.014). The restriction cubic spline plot demonstrated an upward trend between the TG/HDL-C ratio and the CVD occurrence ( P for nonlinear association = 0.027, P for overall significance = 0.009), with the threshold at 1.013. Significantly positive correlations between the TG/HDL-C ratio and CVD were observed below the TG/HDL-C ratio threshold with HR 5.88 (95% CI 1.58-21.88, P = 0.008), but not above the threshold with HR 1.01 (95% CI 0.88-1.15, P = 0.880). Conclusion::Our study confirms the effectiveness of the TG/HDL-C ratio as a predictor of CVD risk in PLWH, which demonstrates a significant nonlinear association. These findings indicate the potential of the TG/HDL-C ratio in facilitating early prevention and treatment strategies for CVD among PLWH.

BACKGROUND: The hemoglobin glycation index (HGI) was developed to quantify glucose metabolism and individual differences and proved to be a robust measure of individual glycosylated hemoglobin (HbA1c) bias. Here, we aimed to explore the relationship between different HGIs and the risk of 5-year major adverse cardiovascular events (MACEs) by performing a large multicenter cohort study in China. METHODS: A total of 9791 subjects from the Risk Evaluation of Cancers in Chinese Diabetic Individuals: a Longitudinal Study (the REACTION study) were divided into five subgroups (Q1-Q5) with the HGI quantiles (≤5th, >5th and ≤33.3th, >33.3th and ≤66.7th, >66.7th and ≤95th, and >95th percentile). A multivariate logistic regression model constructed by the restricted cubic spline method was used to evaluate the relationship between the HGI and the 5-year MACE risk. Subgroup analysis between the HGI and covariates were explored to detect differences among the five subgroups. RESULTS: The total 5-year MACE rate in the nationwide cohort was 6.87% (673/9791). Restricted cubic spline analysis suggested a U-shaped correlation between the HGI values and MACE risk after adjustment for cardiovascular risk factors ( χ2 = 29.5, P <0.001). After adjustment for potential confounders, subjects with HGIs ≤-0.75 or >0.82 showed odds ratios (ORs) for MACE of 1.471 (95% confidence interval [CI], 1.027-2.069) and 2.222 (95% CI, 1.641-3.026) compared to subjects with HGIs of >-0.75 and ≤-0.20. In the subgroup with non-coronary heart disease, the risk of MACE was significantly higher in subjects with HGIs ≤-0.75 (OR, 1.540 [1.039-2.234]; P = 0.027) and >0.82 (OR, 2.022 [1.392-2.890]; P <0.001) compared to those with HGIs of ≤-0.75 or >0.82 after adjustment for potential confounders. CONCLUSIONS We found a U-shaped correlation between the HGI values and the risk of 5-year MACE. Both low and high HGIs were associated with an increased risk of MACE. Therefore, the HGI may predict the 5-year MACE risk.
Humans ; Cohort Studies ; Longitudinal Studies ; Diabetes Mellitus, Type 2/diagnosis* ; Maillard Reaction ; Glycated Hemoglobin ; Cardiovascular Diseases

Objective:Development and validation of a nomogram for predicting the 4-year incidence of type-2 diabetes mellitus (T2DM) in a Chinese population was attempted.Methods:This prospective cohort study was conducted in Shijingshan District Pingguoyuan Community (Beijing, China) from December 2011 to April 2012 among adults aged≥40 years not suffering from T2DM. Finally, 8 058 adults free of T2DM were included with a median duration of follow-up of 4 years. Participants were divided into a modeling group and verification group using simple random sampling at a ratio of 7∶3. Univariate and multivariate Cox proportional risk models were applied to identify the independent risk predictors in the modeling group. A nomogram was constructed to predict the 4-year incidence of T2DM based on the results of multivariate analysis. The Concordance Index and calibration plots were used to evaluate the differentiation and calibration of the nomogram in both groups.Results:A total of 5 641 individuals were in the modeling group and 2 417 people were in the validation group, of which 265 and 106 had T2DM, respectively, at 4-year follow-up. In the modeling group, age ( HR=1.349, 95% CI 1.011-1.800), body mass index ( HR=1.347, 95% CI 1.038-1.746), hyperlipidemia ( HR=1.504, 95% CI 1.133-1.996), fasting blood glucose ( HR=4.189, 95% CI 3.010-5.830), 2-h blood glucose level according to the oral glucose tolerance test ( HR=3.005, 95% CI 2.129-4.241), level of glycosylated hemoglobin ( HR=3.162, 95% CI 2.283-4.380), and level of γ-glutamyl transferase ( HR=1.920, 95% CI 1.385-2.661) were independent risk factors for T2DM. Validation of the nomogram revealed the Concordance Index of the modeling group and validation group to be 0.906 (95% CI 0.888-0.925) and 0.844 (95% CI 0.796-0.892), respectively. Calibration plots showed good calibration in both groups. Conclusion:These data suggest that our nomogram could be a simple and reliable tool for predicting the 4-year risk of developing T2DM in a high-risk Chinese population.

Objective:To explore the characteristics of the association between the triglyceride glucose (TyG) index and nonfatal cardio-cerebrovascular disease risk in a community population.Method:This was a prospective cohort study. From December 2011 to April 2012, the first investigation was conducted among subjects with more than 40-year old who were from Shijingshan district and Pingguoyuan community in Beijing. The second investigation was conducted from April to October 2015. All the subjects were divided into three groups according to the tertile of the TyG index at baseline. The multivariate Cox proportional risk regression model was established to explore the correlation between the TyG index and nonfatal cardio-cerebrovascular disease risk and the Kaplan-Meier survival curve of the TyG index group was drawn. Subgroup analyses were performed according to age, gender, body mass index, type 2 diabetes mellitus (T2DM), hypertension, and hyperlipidemia to determine the correlation characteristics between the TyG index and nonfatal cardio-cerebrovascular disease among subgroups.Results:A total of 9 577 subjects were finally included to analyze. The mean follow-up time of this study was (34.14±3.84) months. During the follow-up, 363 subjects (3.8%) occurred nonfatal cardio-cerebrovascular disease. The multivariate Cox regression analysis results showed that the hazard ratio ( HR) of nonfatal cardio-cerebrovascular disease in the high TyG index group was 1.54 (95% CI 1.19-1.98), 1.60 (95% CI 1.23-2.10), and 1.57 (95% CI 1.20-2.05) in the three models, compared with the low TyG index group. The Kaplan-Meier analysis showed that the risk of nonfatal cardio-cerebrovascular disease increased from the low-TyG index group to the high-TyG index group ( P=0.015). In the six subgroups analysis, only gender was shown to have a significant interaction effect with the TyG index and nonfatal cardio-cerebrovascular disease risk. In the female population, the risk of nonfatal cardio-cerebrovascular disease is significantly increased with the increase in the TyG index level ( P<0.001). Conclusions:A high TyG index is independently related to the increased risk of nonfatal cardio-cerebrovascular disease in the Beijing community population. Gender has a significant interaction with the TyG index and nonfatal cardio-cerebrovascular disease risk. Therefore, the TyG index may be a useful marker to predict the nonfatal cardio-cerebrovascular disease risk of a community population.

Objective:To explore the clinical characteristics of acquired immunodeficiency syndrome (AIDS) complicated with nontuberculous mycobacteria (NTM) disease.Methods:The clinical data of 190 patients with AIDS complicated with NTM disease diagnosed by Shanghai Public Health Clinical Center, Fudan University from January 1, 2019 to December 31, 2021 were analyzed retrospectively. NTM diseases were divided into disseminated NTM disease group and non-disseminated NTM disease group. The independent sample t test, Mann Whitney U test and chi-square test were used for statistical analysis. Results:The 190 patients with AIDS complicated with NTM disease included 182 males and eight females. The age was (42±13) years old, and the first hospital stay was 15(6, 26) days. Pneumocystis carinii pneumonia was the most common co-infection in 12.1%(23/190) of patients, 87 cases (45.8%) were disseminated NTM disease. The clinical symptoms of patients were common in fever (55.8%(106/190)), cough (50.0%(95/190)), and expectoration (28.9%(55/190)). The proportions of fatigue (31.0%(27/87) vs 7.8%(8/103)), poor appetite (21.8%(19/87) vs 10.7%(11/103)) in the AIDS patients with disseminated NTM disease group were higher than those in the non-disseminated NTM disease group, and the differences were statistically significant ( χ2=16.99, P<0.001 and χ2=4.42, P=0.036, respectively). There was no significant difference in the proportions of deaths between AIDS patients with disseminated NTM disease and those without disseminated NTM disease (17.2%(15/87) vs 12.6%(13/103), χ2=0.80, P=0.371). The most common NTM species was Mycobacterium avium (67.1%(49/190)), followed by Mycobacterium kansasii (15.1%(11/190)). Hemoglobin ((90.3±23.9) g/L vs (110.1±24.2) g/L), albumin ((29.7±5.5) g/L vs (34.7±5.6) g/L), CD4 + T lymphocyte count (11(5, 30)/μL vs 52(16, 96)/μL) and CD8 + T lymphocyte count ((362±320)/μL vs (496±352)/μL) in the disseminated NTM disease group were lower than those in non-disseminated NTM disease group ( t=-5.63, P<0.001; t=-6.18, P<0.001; Z=-5.90, P<0.001; and t=-2.73, P=0.007, respectively), while procalcitonin (0.24(0.10, 0.77) μg/L vs 0.10 (0.04, 0.51) μg/L) was higher than that in the non-disseminated NTM disease group ( Z=-3.09, P=0.002), with statistical significance. The most common imaging features were lung patch and strip shadow (67.4%(128/190)). Conclusions:The most common type of AIDS patients complicated with NTM disease is disseminated NTM disease, and Mycobacterium avium is the most common NTM species. The clinical manifestations (fatigue, anorexia) and laboratory tests (hemoglobin, albumin, procalcitonin, CD4 + T lymphocyte count, CD8 + T lymphocyte count) of AIDS patients with disseminated NTM disease and non-disseminated NTM disease are different, while the prognosis is not significantly different.

Humans ; Cost-Benefit Analysis ; HIV Infections/drug therapy* ; Cost-Effectiveness Analysis ; Decision Trees

In this study, voltage was used as a disturbance factor to investigate the relationship between microbial community and methane (CH₄) production flux in a microbial electrolytic cell coupled anaerobic digestion (MEC-AD). Metabolic flux analysis (MFA) was used to explore the relationship between the CH₄ metabolic flux produced and the microbes. The results showed that both methane production flux and hydrogen production flux changed significantly upon voltage disturbance, while the voltage disturbance had little effect on acetic acid production flux. The maximum CH₄ production flux under 0.6 V disturbance was 0.522±0.051, which increased by 77% and 32%, respectively, compared with that of the control group under 1.0 V (0.295±0.013) and under 1.4 V (0.395±0.029). In addition, an average of 15.7%±2.9% of H₂ (flux) was used to reduce CO₂ to produce CH₄ and acetic acid, and an average of 27.7%±6.9% of acetic acid (flux) was converted to CH₄. Moreover, the abundance of Lachnospiraceae significantly affected the flux of acetic acid. The flux of CH₄ production is positively correlated with the abundances of Petrimonas, Syntrophomonas, Blvii28, and Acinetobacter, and negatively correlated with the abundances of Tuzzerella and Sphaerochaeta. The species that affected the flux of H₂ and CH₄ were similar, mostly belonging to Bacteroides, Clostridium, Pseudomonas and Firmicutes. Furthermore, the interspecies interaction is also an important factor affecting the MEC-AD methanogenesis flux.
Acetates ; Anaerobiosis ; Bioreactors ; Electrolysis ; Methane

Backgrounds::Inadequate sleep duration is associated with a higher risk of type 2 diabetes and the relationship is nonlinear. We aim to assess the curve relationship between night sleep duration and the incidence of type 2 diabetes in China.Methods::A cohort of 11,539 participants from the REACTION study without diabetes at baseline (2011) were followed until 2014 for the development of type 2 diabetes. The average number of hours of sleep per night was grouped. Incidence rates and odds ratios (ORs) were calculated for the development of diabetes in each sleep duration category.Results::Compared to people who sleep for 7 to 8 h/night, people with longer sleep duration (≥9 h/night) had a greater risk of type 2 diabetes (OR: 1.27; 95% CI: 1.01-1.61), while shorter sleep (<6 h/night) had no significant difference in risk of type 2 diabetes. When the dataset was stratified based on selected covariates, the association between type 2 diabetes and long sleep duration became more evident among individuals <65 years of age, male, body mass index <24 kg/m 2 or with hypertension or hyperlipidemia, no interaction effects were observed. Furthermore, compared to people persistently sleeping 7 to 9 h/night, those who persistently slept ≥9 h/night had a higher risk of type 2 diabetes. The optimal sleep duration was 6.3 to 7.5 h/night. Conclusions::Short or long sleep duration was associated with a higher risk of type 2 diabetes. Persistently long sleep duration increased the risk.