Objective:To investigate the relationship of several adiposity-related anthropometric parameters, including BMI, waist circumference (WC), waist-to-hip ratio (WHR), body fat percentage (BFP) and indoles in plasma with the incidence of atherosclerotic cardiovascular disease (ASCVD) in adults in China.Methods:In China Kadoorie Biobank (CKB) study, blood samples were collected from 2 183 participants in the first resurvey in 2008 to detect indoles. Participants' body weight, body height, WC, hip circumference, and BFP were measured at baseline survey in 2004 and resurvey in 2008, the BMI and WHR were calculated with standardized methods. The long-term follow-up of all participants started from the completion of the resurvey in 2008 until the occurrence of incident ASCVD, death, loss to follow-up or until December 31, 2018. CKB ascertained outcome status (incident ASCVD) through death and disease registries and national health insurance databases, supplemented by active follow-up. Multivariate linear regression model was used to estimate the associations of anthropometric measurements at baseline survey and the first resurvey, and changes in these measurements with 3 indoles [indole, indole-3-acetic acid (IAA), and indole-3-propionic acid (IPA)]. Cox proportional hazard regression model was used to estimate the associations between indoles and the risk for ASCVD.Results:Anthropometric measurements at baseline survey or the first resurvey were negatively associated with plasma IPA level. The regression coefficient ( β) of baseline BMI (per 1.0 kg/m 2) with 0.1 standard deviation ( SD) IPA was -0.23 (95% CI: -0.36 - -0.10) (false discovery rate=0.004). After adjusting for baseline BMI, the β of baseline WC, WHR and BFP with 0.1 SD IPA were -0.09 (95% CI: -0.18 - -0.01), -0.12 (95% CI: -0.19 - -0.05), and -0.20 (95% CI: -0.32 - -0.08), respectively. The annual change in BMI (difference between BMI in 2008 and 2004 divided by the time interval) was associated with indole and IAA, with β of 1.40 (95% CI: 0.58 - 2.21) and -1.07 (95% CI: -1.91 - -0.23), respectively, at each 0.1 increase of SD. Over a median ( Q1, Q3) follow-up of 10.46 (10.36, 10.53) years after 2008 resurvey, 236 cases of ASCVD were recorded. IAA and IPA levels were negatively associated with the risk for ASCVD, with hazard ratios for one SD increase of IAA and IPA of 0.87 (95% CI: 0.76 - 0.99) and 0.84 (95% CI: 0.73 - 0.96), respectively. Conclusions:Our results suggested that anthropometric measurements and their changing trends affect the levels of plasma imicrobial tryptophan metabolite levels, decreased levels of IAA and IPA levels are associated with increased risk of ASCVD and indoles in plasma including IPA and IAA might be the mediating factors for adiposity-induced ASCVD.

The human microbiome encompasses a diverse array of microorganisms and their functional interactions within the human body. It exhibits a vast diversity of species and complex roles across various body environments. Advanced sequencing technologies, such as 16S amplicon sequencing and metagenomic sequencing, facilitate in-depth analysis on this microbial community. Recent researches have suggested that characteristics of the human microbiome (such as diversity and composition of microbiome, involving metabolic pathways and metabolites) might be associated with the onset and progression of cardiovascular diseases. These findings provide valuable insights into the etiology of chronic diseases and might aid in the development of novel disease biomarkers and intervention strategies. This paper summarizes the designs, current status and key findings of current population-based research in this field, and introduce the future development and analyze the existing critical problems that need further investigations.

Background and aims:Early and accurate diagnosis of the coexistence of Wilson's disease(WD)and chronic hepatitis B(CHB)presents a significant challenge for clinicians.The objective of this study was to retrospectively analyse the characteristics of such patients to improve clinical practice and provide a reference for clinical management.Methods:From January 2011 to December 2022,35 patients with concurrent CHB and WD(CHB+WD group)were identified.A total of 127 patients with CHB(CHB group)and 168 patients with WD(WD group)were included in the control group between January 2016 and December 2021.Propensity score matching(PSM)was performed to balance the baseline values between groups.The Kaplan-Meier(K-M)survival analysis and log-rank test were performed to compare the prognoses.Results:In the cohort of 35 patients with concurrent CHB and WD,74.3％of patients(26 patients)faced a substantial delay of up to 10 years(range:0-40 years)in WD diagnosis following their CHB diagnosis.Twenty-three(65.7％)patients had cirrhosis at the time of WD diagnosis,and 26(74.3％)patients experienced liver failure.The levels of serum copper and uric acid were lower in patients in the CHB+WD group than in those in the CHB group.Patients in the CHB+WD group presented higher alanine transaminase and total bile acid levels compared to those in the WD group.K-M survival analysis indicated that patients with CHB and WD had poorer outcomes than those with CHB alone;however,the outcomes were similar to those of individuals with WD alone.The optimal cut-point of serum ceruloplasmin(CP)in identifying WD in CHB patients was 0.10 g/L before PSM and after PSM.Conclusions:The present study emphasizes the importance of clinicians being vigilant for concurrent CHB and WD diagnoses,as delays in WD diagnosis may adversely affect patient outcomes.CHB patients with serum CP below 0.10 g/L are highly recommended to screen for WD.

BACKGROUND:Some studies have shown a potential relationship between dietary intake and osteoarthritis,but whether there is a causal relationship between food preferences and osteoarthritis is still unknown.There is currently no large-scale genome-wide association study on dietary preferences and osteoarthritis in China.OBJECTIVE:To explore the causal association between dietary preferences and osteoarthritis in European populations,in order to provide a theoretical basis for the prevention of osteoarthritis and to provide reference data for the identification of high-risk groups for hip and knee osteoarthritis in China.METHODS:A total of 20 dietary preference genetic statistics datasets were selected to screen for exposure factor-related instrumental variables.The dataset for osteoarthritis was selected for the ending.After exclusion of the instrumental variables related to confounders,the two-sample Mendelian randomized causal association analysis was conducted mainly by inverse variance weighted analysis,and other four statistical methods were used as supplements.Sensitivity test was performed for the results.RESULTS AND CONCLUSION:(1)The results of the inverse variance weighted analysis showed that preference for barbecue(OR=1.204,95％CI:1.058-1.370,P=0.005),beef(OR=1.167,95％CI:1.034-1.317,P=0.012),chicken(OR=1.399,95％CI:1.119-1.749,P=0.003),pork chops(OR=1.218,95％CI:1.039-1.427,P=0.015)and coffee(OR=1.133,95％CI:1.037-1.238,P=0.006)were risk factors for osteoarthritis of the knee and hip joints,vegetables(OR=0.893,95％CI:0.827-0.964,P=0.004),and vinegar(OR=0.897,95％CI:0.812-0.991,P=0.032)were protective factors for knee-hip osteoarthritis.(2)The results of the sensitivity analysis showed that the instrumental variables included in the analysis without horizontal pleiotropy and bias,and the corresponding inverse variance weighted analysis of effects model was used according to the results of the heterogeneity analysis.(3)The results of this study provide certain reference value in the research on the relationship between dietary preferences and hip and knee osteoarthritis,but only included human whole genome association study data from European populations,and the validity of the research results in other races remains to be tested.Moreover,no stratification was performed on gender,age and other health status.It is difficult to completely rule out the bias from population stratification in the research results.In the future,larger-scale and more finely classified sample data are still needed to carry out relevant causal relationship research.

Objective:To investigate the relationship of several adiposity-related anthropometric parameters, including BMI, waist circumference (WC), waist-to-hip ratio (WHR), body fat percentage (BFP) and indoles in plasma with the incidence of atherosclerotic cardiovascular disease (ASCVD) in adults in China.Methods:In China Kadoorie Biobank (CKB) study, blood samples were collected from 2 183 participants in the first resurvey in 2008 to detect indoles. Participants' body weight, body height, WC, hip circumference, and BFP were measured at baseline survey in 2004 and resurvey in 2008, the BMI and WHR were calculated with standardized methods. The long-term follow-up of all participants started from the completion of the resurvey in 2008 until the occurrence of incident ASCVD, death, loss to follow-up or until December 31, 2018. CKB ascertained outcome status (incident ASCVD) through death and disease registries and national health insurance databases, supplemented by active follow-up. Multivariate linear regression model was used to estimate the associations of anthropometric measurements at baseline survey and the first resurvey, and changes in these measurements with 3 indoles [indole, indole-3-acetic acid (IAA), and indole-3-propionic acid (IPA)]. Cox proportional hazard regression model was used to estimate the associations between indoles and the risk for ASCVD.Results:Anthropometric measurements at baseline survey or the first resurvey were negatively associated with plasma IPA level. The regression coefficient ( β) of baseline BMI (per 1.0 kg/m 2) with 0.1 standard deviation ( SD) IPA was -0.23 (95% CI: -0.36 - -0.10) (false discovery rate=0.004). After adjusting for baseline BMI, the β of baseline WC, WHR and BFP with 0.1 SD IPA were -0.09 (95% CI: -0.18 - -0.01), -0.12 (95% CI: -0.19 - -0.05), and -0.20 (95% CI: -0.32 - -0.08), respectively. The annual change in BMI (difference between BMI in 2008 and 2004 divided by the time interval) was associated with indole and IAA, with β of 1.40 (95% CI: 0.58 - 2.21) and -1.07 (95% CI: -1.91 - -0.23), respectively, at each 0.1 increase of SD. Over a median ( Q1, Q3) follow-up of 10.46 (10.36, 10.53) years after 2008 resurvey, 236 cases of ASCVD were recorded. IAA and IPA levels were negatively associated with the risk for ASCVD, with hazard ratios for one SD increase of IAA and IPA of 0.87 (95% CI: 0.76 - 0.99) and 0.84 (95% CI: 0.73 - 0.96), respectively. Conclusions:Our results suggested that anthropometric measurements and their changing trends affect the levels of plasma imicrobial tryptophan metabolite levels, decreased levels of IAA and IPA levels are associated with increased risk of ASCVD and indoles in plasma including IPA and IAA might be the mediating factors for adiposity-induced ASCVD.

The human microbiome encompasses a diverse array of microorganisms and their functional interactions within the human body. It exhibits a vast diversity of species and complex roles across various body environments. Advanced sequencing technologies, such as 16S amplicon sequencing and metagenomic sequencing, facilitate in-depth analysis on this microbial community. Recent researches have suggested that characteristics of the human microbiome (such as diversity and composition of microbiome, involving metabolic pathways and metabolites) might be associated with the onset and progression of cardiovascular diseases. These findings provide valuable insights into the etiology of chronic diseases and might aid in the development of novel disease biomarkers and intervention strategies. This paper summarizes the designs, current status and key findings of current population-based research in this field, and introduce the future development and analyze the existing critical problems that need further investigations.

BACKGROUND:Some studies have shown a potential relationship between dietary intake and osteoarthritis,but whether there is a causal relationship between food preferences and osteoarthritis is still unknown.There is currently no large-scale genome-wide association study on dietary preferences and osteoarthritis in China.OBJECTIVE:To explore the causal association between dietary preferences and osteoarthritis in European populations,in order to provide a theoretical basis for the prevention of osteoarthritis and to provide reference data for the identification of high-risk groups for hip and knee osteoarthritis in China.METHODS:A total of 20 dietary preference genetic statistics datasets were selected to screen for exposure factor-related instrumental variables.The dataset for osteoarthritis was selected for the ending.After exclusion of the instrumental variables related to confounders,the two-sample Mendelian randomized causal association analysis was conducted mainly by inverse variance weighted analysis,and other four statistical methods were used as supplements.Sensitivity test was performed for the results.RESULTS AND CONCLUSION:(1)The results of the inverse variance weighted analysis showed that preference for barbecue(OR=1.204,95％CI:1.058-1.370,P=0.005),beef(OR=1.167,95％CI:1.034-1.317,P=0.012),chicken(OR=1.399,95％CI:1.119-1.749,P=0.003),pork chops(OR=1.218,95％CI:1.039-1.427,P=0.015)and coffee(OR=1.133,95％CI:1.037-1.238,P=0.006)were risk factors for osteoarthritis of the knee and hip joints,vegetables(OR=0.893,95％CI:0.827-0.964,P=0.004),and vinegar(OR=0.897,95％CI:0.812-0.991,P=0.032)were protective factors for knee-hip osteoarthritis.(2)The results of the sensitivity analysis showed that the instrumental variables included in the analysis without horizontal pleiotropy and bias,and the corresponding inverse variance weighted analysis of effects model was used according to the results of the heterogeneity analysis.(3)The results of this study provide certain reference value in the research on the relationship between dietary preferences and hip and knee osteoarthritis,but only included human whole genome association study data from European populations,and the validity of the research results in other races remains to be tested.Moreover,no stratification was performed on gender,age and other health status.It is difficult to completely rule out the bias from population stratification in the research results.In the future,larger-scale and more finely classified sample data are still needed to carry out relevant causal relationship research.

Objective To explore the separation and purification efficiency of domestic and imported agarose gel filtration chromatography media for the inactivated SARS-CoV-2 Omicron vaccine, in order to provide data support for promoting the domestic substitution of chromatography media.Methods Three batches of concentrated SARS-CoV-2 Omicron strain inactivated virus were used in the experiments, and the purification was conducted using domestic and imported agarose gel filtration chromatography media under identical experimental conditions respectively. The virus peaks were collected, and relevant quality parameters, including antigen content, protein content, residual DNA of Vero cells, residual host proteins of Vero cells, and residual bovine serum albumin content in the collected components, were measured. The specific activity and antigen recovery rates were calculated.Results After loading and purification using a 10% column volume and a linear flow rate of 30 cm/h for both media, the average antigen recovery rates for the collected components were 55. 29% and 53. 31%,respectively, with no significant difference(t = 1. 44, P > 0. 05). Moreover, there was no significant difference in specific activity, residual DNA of Vero cells and residual host proteins of Vero cells(t =-0. 25, 1. 31 and 0. 66, respectively, each P >0. 05). Only the residual bovine serum albumin content exhibited a significant difference(t =-2. 73, P < 0. 05).Conclusion The domestic and imported agarose gel filtration chromatography media were used to purify the concentrated solution of SARS-CoV-2 Omicron strain inactivated virus, and the quality parameters of the collected components had no significant difference except for the residual bovine serum albumin content. Therefore, in the purification of the inactivated SARS-CoV-2 Omicron vaccine, the domestic chromatography media could be considered as a viable alternative to imported media

BACKGROUND: Several studies have reported that polygenic risk scores (PRSs) can enhance risk prediction of coronary artery disease (CAD) in European populations. However, research on this topic is far from sufficient in non-European countries, including China. We aimed to evaluate the potential of PRS for predicting CAD for primary prevention in the Chinese population. METHODS: Participants with genome-wide genotypic data from the China Kadoorie Biobank were divided into training ( n = 28,490) and testing sets ( n = 72,150). Ten previously developed PRSs were evaluated, and new ones were developed using clumping and thresholding or LDpred method. The PRS showing the strongest association with CAD in the training set was selected to further evaluate its effects on improving the traditional CAD risk-prediction model in the testing set. Genetic risk was computed by summing the product of the weights and allele dosages across genome-wide single-nucleotide polymorphisms. Prediction of the 10-year first CAD events was assessed using hazard ratios (HRs) and measures of model discrimination, calibration, and net reclassification improvement (NRI). Hard CAD (nonfatal I21-I23 and fatal I20-I25) and soft CAD (all fatal or nonfatal I20-I25) were analyzed separately. RESULTS: In the testing set, 1214 hard and 7201 soft CAD cases were documented during a mean follow-up of 11.2 years. The HR per standard deviation of the optimal PRS was 1.26 (95% CI:1.19-1.33) for hard CAD. Based on a traditional CAD risk prediction model containing only non-laboratory-based information, the addition of PRS for hard CAD increased Harrell's C index by 0.001 (-0.001 to 0.003) in women and 0.003 (0.001 to 0.005) in men. Among the different high-risk thresholds ranging from 1% to 10%, the highest categorical NRI was 3.2% (95% CI: 0.4-6.0%) at a high-risk threshold of 10.0% in women. The association of the PRS with soft CAD was much weaker than with hard CAD, leading to minimal or no improvement in the soft CAD model. CONCLUSIONS In this Chinese population sample, the current PRSs minimally changed risk discrimination and offered little improvement in risk stratification for soft CAD. Therefore, this may not be suitable for promoting genetic screening in the general Chinese population to improve CAD risk prediction.
Male ; Humans ; Female ; Coronary Artery Disease/genetics* ; Biological Specimen Banks ; East Asian People ; Risk Assessment/methods* ; Genetic Predisposition to Disease/genetics* ; Risk Factors ; Genome-Wide Association Study

Objective:To compare the preliminary clinical effect of mitral valve replacement and mitral valvuloplasty on hypertrophic obstructive cardiomyopathy with mitral regurgitation.Methods:From January 2010 to December 2013, the patients undergoing cardiac surgery at Bakulev Cardiovascular Surgery Research Center in Russia were randomly divided into two groups: Forty-one patients received left ventricular outflow tract hypertrophy myocardial resection (Morrow operation) combined with mitral valve replacement (MVR) as MVR group; Forty-seven patients received Morrow surgery combined with mitral valve repair (MVr) as MVr group.The primary end point: death, secondary end point: thrombosis complications (cerebral infarction, peripheral arterial embolism), recurrence of mitral regurgitation and left ventricular outflow tract pressure difference were compared between the two groups.Results:In the MVr group, 6 cases were converted to MVR and were excluded from the study.The survival rates of MVR group and MVR group were 78.9% and 96.6%, respectively , and the thromboembolic free survival rates of MVR group and MVr group were 83.2% and 100%, respectively. The differences were statistically significant( P=0.034, 0.026, respectively). There was no significant difference in mitral regurgitation and left ventricular outflow tract pressure difference between MVR group and MVR group 24 months after operation( P=1.000, 0.934, respectively). Conclusion:Operation combined with MVR or MVr is an effective method to relieve left ventricular outflow tract obstruction and mitral regurgitation. Morrow operation combined with MVr can improve survival rate and reduce thrombosis complications.