Objective To investigate the infection status and changing trend of hepatitis C virus(HCV)infection in hospitalized patients in medical institutions,and provide reference for formulating HCV infection prevention and control strategies.Methods HCV infection surveillance results from cross-sectional survey data reported to China Healthcare-associated Infection(HAI)Surveillance System in 2020 were summarized and analyzed,HCV positive was serum anti-HCV positive or HCV RNA positive,survey result was compared with the survey results from 2003.Results In 2020,1 071 368 inpatients in 1 573 hospitals were surveyed,738 535 of whom underwent HCV test,4 014 patients were infected with HCV,with a detection rate of 68.93％and a HCV positive rate of 0.54％.The positive rate of HCV in male and female patients were 0.60％and 0.48％,respectively,with a statistically sig-nificant difference(x2=47.18,P＜0.001).The HCV positive rate in the 50-＜60 age group was the highest(0.76％),followed by the 40-＜50 age group(0.71％).Difference among all age groups was statistically signifi-cant(x2=696.74,P＜0.001).In 2003,91 113 inpatients were surveyed.35 145 of whom underwent HCV test,resulting in a detection rate of 38.57％;775 patients were infected with HCV,with a positive rate of 2.21％.In 2020,HCV positive rates in hospitals of different scales were 0.46％-0.63％,with the highest in hospital with bed numbers ranging 600-899.Patients'HCV positive rates in hospitals of different scales was statistically signifi-cant(X2=35.34,P＜0.001).In 2020,12 provinces/municipalities had over 10 000 patients underwent HCV-rela-ted test,and HCV positive rates ranged 0.19％-0.81％,with the highest rate from Hainan Province.HCV posi-tive rates in different departments were 0.06％-0.82％,with the lowest positive rate in the department of pedia-trics and the highest in the department of internal medicine.In 2003 and 2020,HCV positive rates in the depart-ment of infectious diseases were the highest,being 7.95％and 3.48％,respectively.Followed by departments of orthopedics(7.72％),gastroenterology(3.77％),nephrology(3.57％)and general intensive care unit(ICU,3.10％)in 2003,as well as departments of gastroenterology(1.35％),nephrology(1.18％),endocrinology(0.91％),and general intensive care unit(ICU,0.79％)in 2020.Conclusion Compared with 2003,HCV positive rate decreased significantly in 2020.HCV infected patients were mainly from the department of infectious diseases,followed by departments of gastroenterology,nephrology and general ICU.HCV infection positive rate varies with gender,age,and region.

This study analyzed the positive HIV confirmation test results in Chaoyang District,Beijing from 2013 to 2022,to understand the HIV testing work in this area.A total of 13 128 HIV-positive samples sent by 58 screening laboratories in the jurisdiction were confirmatory by western blotting(WB).SPSS22.0 was used to statistically analyze the experimental results.From 2013 to 2022,8 417 HIV-1 antibody positive samples,1 263 uncertain samples,and 3 448 negative samples were detec-ted in this confirmatory laboratory.No HIV-2 positive samples were identified.Among the HIV-1 antibody positive samples,94.32％were in males,and the sex difference was statistically significant.A total of 48.65％were in the 19-30 year age group;Full band and sub-full band accounted for 96.92％of WB bands,with a detection rate of 99.94％for gp160 and 99.67％for gp120.In Chaoyang District,Beijing,from 2013 to 2022,HIV-1 antibody positive cases were mainly males,and the age range was primarily 19-30 years.The proportion of HIV-1 antibody uncertainty among age,sex,occupation,and testing groups was relatively small.The WB band of HIV-1 antibody positive samples showed the highest full band and sub-full band proportions.

OBJECTIVE: This study aimed to investigate the association between fruit and vegetable intake and arterial stiffness. METHODS: We conducted a cohort-based study comprising 6,628 participants with arterial stiffness information in the Prediction for Atherosclerotic Cardiovascular Disease Risk in China (China-PAR) project. A semi-quantitative food-frequency questionnaire was used to assess baseline (2007-2008) and recent (2018-2021) fruit and vegetable intake. We assessed changes in fruit and vegetable intake from 2007-2008 to 2018-2021 in 6,481 participants. Arterial stiffness was measured using the arterial velocity-pulse index (AVI) and arterial pressure-volume index (API). Elevated AVI and API values were defined according to diverse age reference ranges. RESULTS: Multivariable-adjusted linear regression models revealed that every 100 g/d increment in fruit and vegetable intake was associated with a 0.11 decrease in AVI ( B= -0.11; 95% confidence interval [ CI]: -0.20, -0.02) on average, rather than API ( B = 0.02; 95% CI: -0.09, 0.13). The risk of elevated AVI (odds ratio [ OR] = 0.82; 95% CI: 0.70, 0.97) is 18% lower in individuals with high intake (≥ 500 g/d) than in those with low intake (< 500 g/d). Furthermore, maintaining a high intake in the past median of 11.5 years of follow-up was associated with an even lower risk of elevated AVI compared with a low intake at both baseline and follow-up ( OR = 0.64; 95% CI: 0.49, 0.83). CONCLUSION Fruit and vegetable intake was negatively associated with arterial stiffness, emphasizing recommendations for adherence to fruit and vegetable intake for the prevention of arterial stiffness.
Humans ; Vascular Stiffness ; Fruit ; Vegetables ; Atherosclerosis ; China

BACKGROUND: The benefits of healthy lifestyles are well recognized. However, the extent to which improving unhealthy lifestyles reduces cardiovascular disease (CVD) risk needs to be discussed. We evaluated the impact of lifestyle improvement on CVD incidence using data from the China-PAR project (Prediction for Atherosclerotic Cardiovascular Disease Risk in China). METHODS: A total of 12,588 participants free of CVD were followed up for three visits after the baseline examination. Changes in four lifestyle factors (LFs) (smoking, diet, physical activity, and alcohol consumption) were assessed through questionnaires from the baseline to the first follow-up visit. Cox proportional hazard models were used to estimate hazard ratios (HRs) and corresponding 95% confidence intervals (CIs). The risk advancement periods (RAPs: the age difference between exposed and unexposed participants reaching the same incident CVD risk) and population-attributable risk percentage (PAR%) were also calculated. RESULTS: A total of 909 incident CVD cases occurred over a median follow-up of 11.14 years. Compared with maintaining 0-1 healthy LFs, maintaining 3-4 healthy LFs was associated with a 40% risk reduction of incident CVD (HR = 0.60, 95% CI: 0.45-0.79) and delayed CVD risk by 6.31 years (RAP: -6.31 [-9.92, -2.70] years). The PAR% of maintaining 3-4 unhealthy LFs was 22.0% compared to maintaining 0-1 unhealthy LFs. Besides, compared with maintaining two healthy LFs, improving healthy LFs from 2 to 3-4 was associated with a 23% lower risk of CVD (HR = 0.77, 95% CI: 0.60-0.98). CONCLUSIONS Long-term sustenance of healthy lifestyles or improving unhealthy lifestyles can reduce and delay CVD risk.

Tripterygium glycosides tablet(TGT),the classical commercial drug of Tripterygium wilfordii Hook.F.has been effectively used in the treatment of rheumatoid arthritis,nephrotic syndrome,leprosy,Behcet's syndrome,leprosy reaction and autoimmune hepatitis.However,due to its narrow and limited treatment window,TGT-induced organ toxicity(among which liver injury accounts for about 40％of clinical reports)has gained increasing attention.The present study aimed to clarify the cellular and molecular events underlying TGT-induced acute liver injury using single-cell RNA sequencing(scRNA-seq)technology.The TGT-induced acute liver injury mouse model was constructed through short-term TGT exposure and further verified by hematoxylin-eosin staining and liver function-related serum indicators,including alanine aminotransferase,aspartate aminotransferase,alkaline phosphatase and total bilirubin.Using the mouse model,we identified 15 specific subtypes of cells in the liver tissue,including endothelial cells,hepatocytes,cholangiocytes,and hepatic stellate cells.Further analysis indicated that TGT caused a significant inflammatory response in liver endothelial cells at different spatial locations;led to marked inflammatory response,apoptosis and fatty acid metabolism dysfunction in hepatocytes;activated he-patic stellate cells;brought about the activation,inflammation,and phagocytosis of liver capsular macrophages cells;resulted in immune dysfunction of liver lymphocytes;disturbed the intercellular crosstalk in liver microenvironment by regulating various signaling pathways.Thus,these findings elaborate the mechanism underlying TGT-induced acute liver injury,provide new insights into the safe and rational applications in the clinic,and complement the identification of new biomarkers and ther-apeutic targets for liver protection.

Adult ; Atherosclerosis ; Cardiovascular Diseases ; China ; Habits ; Humans ; Lipids

Objective:To investigate the effects of Clostridium butyricum on colitis and intestinal microbiota in mice with or without antibiotic pretreatment. Methods:Thirty specific pathogen free BALB/c mice were randomly divided into the blank control group, dextran sulfate sodium (DSS) group, antibiotic + DSS group, Clostridium butyricum + DSS group and antibiotic+ Clostridium butyricum + DSS group, with 6 mice in each group. After the mice were pretreated with quadruple antibiotics (ampicillin 1 g/L, neomycin 1 g/L, metronidazole 1 g/L, and vancomycin 0.5 g/L) in normal drinking water for 30 d, the mice colitis model was induced with DSS. At the same time, the mice in Clostridium butyricum + DSS group and antibiotics+ Clostridium butyricum + DSS group were given 1×10 6colony-forming unit (CFU) Clostridium butyricum by gavage. The effect of Clostridium butyricum on mice with colitis was evaluated by disease activity index (DAI), colon length and histopathological score. The level of serum inflammatory factors was detected by enxyme linked immunosorbent assay, and the effect of Clostridium butyricum on gut microbita in mice was determined by fecal 16S rRNA sequencing. Results:The general condition of mice of the blank control group were good, and their DAI scores fluctuated around 0. Since the fourth day after DSS drinking water was given, the mice of the DSS group showed signs of colitis such as weight loss, unformed stools and bloody stools. On the fourth day after intervention, the DAI score of Clostridium butyricum + DSS group was lower than that of DSS group (0.000±0.000 vs. 0.444±0.111), and the difference was statistically significant ( t=4.000, P=0.016 1). On the tenth and twelfth day after the intervention, the DAI scores of antibiotic+ Clostridium butyricum + DSS group were both lower than those of antibiotic+ DSS group (0.000±0.000 vs. 1.111±0.222, 0.667±0.000 vs. 1.889±0.222), and the differences were statistically significant ( t=5.000 and 5.500, both P<0.05). The histopathological score of mice colon tissue of Clostridium butyricum + DSS group was lower than that of DSS group (2.50±1.73 vs. 5.50±1.00), and the histopathological score of mice colon tissue of antibiotic+ Clostridium butyricum+ DSS group was lower than that of antibiotic+ DSS group (1.25±0.96 vs. 5.00±0.82), and the differences were statistically significant ( t=3.000 and 5.960, both P<0.05). The serum level of interleukin (IL)-1β Clostridium butyricum+ DSS group was higher than that of blank control group ((4.464±0.075) ng/L vs. (3.907±0.080) ng/L), the serum levels of tumor necrosis factor-α, IL-6 and IL-1β of Clostridium butyricum+ DSS group and antibiotic+ Clostridium butyricum + DSS group were all lower than those of DSS group ((2.402±0.383) ng/L , (1.845±0.345) ng/L vs. (6.958±1.084) ng/L, (1.752±0.146) ng/L, (1.307±0.048) ng/L vs. (3.537±0.608) ng/L, (4.464±0.075) ng/L, (4.066±0.190) ng/L vs. (7.477±0.339) ng/L), and the differences were statistically significant ( t=5.005, 3.964, 4.495, 4.693, 6.294, 8.674 and 8.774 , all P<0.05). The results of 16S rRNA sequencing showed that there were a significantly large number of anti-inflammatory or short-chain fatty acid producing bacteria in the gut microbiota of mice intervened by Clostridium butyricum, among which the dominant bacteria genus in Clostridium butyricum + DSS group and antibiotic+ Colstridium butyicum+ DSS group were Mucispirillum (linear discriminant analysis (LDA)=3.667 log10, P=0.004) and Stenotrophomonas (LDA=2.778 log10, P=0.044). In the antibiotic+ Clostridium butyricum+ DSS group, the dominant bacteria genus were Peptococcus (LDA=2.685 log10, P=0.018), Butyricimonas (LDA=2.712 log10, P=0.011), Bilophila (LDA=3.204 log10, P=0.014), Intestinimonas (LDA=3.346 log10, P=0.010), Candidatus- Saccharimonas (LDA=3.363 log10, P=0.029), Desulfovibrio (LDA=3.402 log10, P=0.025), Oscillibacter (LDA=2.870 log10, P=0.019) and Akkermansia (LDA=4.031 log10, P=0.005). Conclusions:Clostridium butyricum can effectively improve colitis in mice and regulate the intestinal microbial structure of mice, whlie antibiotic pretreatment can strengthen its regulation of intestinal microbiota to and enhance the efficacy of Clostridium butyricum.

Objective:To propose a new method for detecting and evaluating traditional Chinese medicine （TCM） by artificial intelligence and machine vision technology. Method:Taking Fritillariae Cirrhosae Bulbus， Crataegi Fructus and Pinelliae Rhizoma as the research objects， big data of pictures was collected by machine vision and the image database was established. Through the intelligent analysis of the external characteristics of TCM， the deep convolutional neural network model was established to realize the functions of location detection and variety identification by means of deep learning， so as to significantly improve the accuracy of rapid identification of TCM. Result:The classification accuracy of 11 kinds of Chinese herbal pieces （raw， fried， parched and charred products of Crataegi Fructus， Pinelliae Rhizoma， Pinelliae Rhizoma Praeparatum Cum Zingibere et Alumine， Pinelliae Rhizoma Praeparatum， Pinelliae Rhizoma Praeparatum Cum Alumine and three products of Fritillariae Cirrhosae Bulbus） could be more than 99%， and the average recognition accuracy of specific categories could reach more than 97%. Conclusion:The intelligent identification technology of TCM decoction pieces realized by deep learning algorithms has the advantages of simplicity， rapidity， high precision and quantifiable detection， which can provide technical support for the quality detection and evaluation of TCM， and enrich the research ideas of quality evaluation of TCM.