Triclosan (TCS) and triclocarban (TCC) are widely used synthetic broad-spectrum antibacterial agents that can enter the human body through the skin, gastrointestinal tract, and other pathways. More and more studies have found that exposure to TCS and TCC can affect human health, but currently, review reports on the health effects of human exposure to TCS and TCC are limited. Therefore, this study reviewed population studies on the relationship between TCS and TCC exposure and health effects by searching the PubMed database, summarized the associated health outcomes, and elucidated the biological mechanisms. A total of 56 studies were retrieved, among which cross-sectional studies (25 studies, 44.64%) and cohort studies (25 studies, 44.64%) accounted for a relatively large proportion, while case-control studies (6 studies, 10.72%) were relatively few. Studies on TCS exposure (48 studies, 85.71%) were far more prevalent than those on TCC exposure (2 studies, 3.57%). The remaining 6 studies involved both TCS and TCC exposure. The research results revealed that TCS exposure was associated with male and female abnormal reproductive functions, fetal growth restriction, abnormal behavior development in children, obesity, gestational diabetes mellitus (GDM), and immune-related diseases. Although the results of different studies show significant differences, they have indicated that exposure to TCS is a potential risk factor for these health problems. Due to the limited number of studies, the evidence for the relationship between TCC exposure and most of the aforementioned health effects is insufficient. Population studies and in vitro and in vivo studies have shown that exposure to TCS and TCC can interfere with the microbial homeostasis, the endocrine system, oxidative stress and immune function of the body, which are potential mechanisms causing adverse health effects. In the future, large-scale prospective cohort studies, as well as in vivo and in vitro studies, are still needed to further clarify the associations between TCS and TCC exposure and health effects, and to deeply explore its mechanism of action. These efforts will provide references for clarifying the human health hazards of TCS and TCC exposure and formulating targeted prevention and control strategies.

Objective To investigate the role of caproic acid in the formation of calcium oxalate(CaOx)kidney stones. Methods A CaOx kidney stone rat model was established using ethylene glycol and ammol/lonium chloride, and histological staining was employed to verify the model construction. Gut contents from the rats were collected, and targeted metabolomics was used to measure the levels of short-chain fatty acids(SCFAs).Sodium hexanoate solutions at 0, 0.25, 0.5, and 1.0 mmol/L, along with oxalate solutions at 0, 0.5, 1.0, and 1.5 mmol/L, were administered to human renal tubule epithelial(HK-2)cells to determine the optimal concentration of oxalate for inhibiting HK-2 cell growth. The cells were treated with these oxalate concentrations combined with varying sodium hexanoate levels for 24 hours. The cell viability was detected with CCK-8 assay, and the optimal concentration of sodium hexanoate was screened for reactive oxygen species(ROS)staining. Results After modeling, the body weight of the CaOx stone rats significantly decreased, while the kidney mass increased. TUNEL staining revealed a higher number of apoptotic cells in the kidneys of the CaOx stone rats compared to the controls. Von Kossa and Alizarin Red staining demonstrated significant calcium salt deposition, and Masson staining indicated pronounced renal fibrosis in the CaOx stone rats. Targeted metabolomics revealed four significant differential SCFAs between the controls and CaOx stone rats, with notably reduced level of caproic acid(VIP=1.367, FC=0.119)in the CaOx stone rats. CCK-8 assay showed that the optimal inhibitory concentration of oxalate in HK-2 cells was 1.0 mmol/L, sodium hexanoate of 1.0 mmol/L was the most effective to alleviate oxalate-induced renal tubular epithelial cell injury. ROS staining revealed that sodium hexanoate could reduce the ROS level in the HK-2 cells. Conclusion Caproic acid can inhibit the damage to renal tubular epithelial cells caused by CaOx and reduce the intracellular ROS level, thereby inhibiting the formation of CaOx stones. This study may provide a new direction for the treatment of CaOx stones.

Objective:New HIV infections serve as a crucial indicator for assessing the dynamic changes in the HIV epidemic. This study aims to estimate the number of new HIV infections in Dehong Dai and Jingpo Autonomous Prefecture of Yunnan Province (Dehong), using a back-calculation method that integrates diagnosis delay approaches and Bayesian theory. Additionally, it compares the differences between these two estimation methods.Methods:Data were obtained from the Chinese Information System for Disease Control and Prevention. Based on CD4 + T lymphocytes (CD4) counts depletion model, the first CD4 count prior to antiretroviral therapy of HIV-infected individuals diagnosed in Dehong from 2010 to 2023 was utilized to retroactively determine the infection date of HIV-infected individuals and ascertain the annual number of new HIV infections who had been diagnosed. Subsequently, the diagnosis delay distribution method and Bayesian theory were leveraged to assess the diagnosis probability of newly infected individuals, thereby projecting the number of new HIV infections in the region over the specified period. Results:During 2010-2023, a total of 5 693 individuals aged 15 and above, excluding mother-to-child transmission, were diagnosed with HIV in Dehong. After excluding 364 cases due to missing CD4 count results or abnormal first CD4 counts (≥2 000 cells/μl), 5 329 HIV-infected individuals were included in the final analysis. Through CD4 counts back-calculation from 2010 to 2023, the annual number of new infections diagnosed was 479, 427, 337, 305, 256, 219, 194, 193, 131, 166, 120, 71, 42 and 47. When using the diagnosis delay distribution method and life table analysis, the cumulative diagnosis probability rose from 0.301 within one year to 0.913 within 14 years, leading to a reduction in the number of estimated new infections from 577 in 2010 to 168 in 2023, with a total estimate of 4 412 (95% CI:4 350-4 480). Alternatively, based on Bayesian theory, the diagnosis probability increased from 0.413 within one year to 0.946 within 14 years, leading to a reduction in the number of estimated new infections from 557 in 2010 to 122 in 2023, with a total of 3 814 (95% CI: 3 787-3 837). Conclusions:Both methods yielded consistent results in estimating new HIV infections in Dehong from 2010 to 2023. Given the region's ongoing expansion of HIV testing, the estimates derived from Bayesian theory may more accurately reflect the actual situation. These findings provide a reference basis for formulating and optimizing HIV/AIDS prevention and control strategies in Dehong, facilitating progress toward the goal of eliminating AIDS by 2030 in the region.

Objective To observe the value of machine learning model based on MR T2WI and diffusion weighted imaging(DWI)radiomics for predicting perineural invasion(PNI)of rectal cancer.Methods Totally 343 patients with rectal cancer were retrospectively collected and divided into training set(n=275,92 PNI[+]and 183 PNI[-])and test set(n=68,23 PNI[+]and 45 PNI[-])at the ratio of 8∶2.Univariate and multivariate logistic regression(LR)were used to analyze clinical data and screen the independent predictors of PNI in rectal cancer,so as to construct a clinical model.The best radiomics features were extracted and screened based on preoperative T2WI and DWI.Then extremely randomized trees,multilayer perceptron,light gradient boosting machine,extreme gradient boosting,support vector machine(SVM),LR,K-nearest neighbor and random forest algorithms were used to construct ML models,respectively,and the optimal ML model was selected to establish a clinical-radiomics ML model combined with clinical relevant independent predictors.The predictive efficacy and clinical value of each model were evaluated.Results Patients' age was the independent predictor of PNI of rectal cancer(OR=0.988,P＜0.001),and the area under the curve(AUC)of the clinical model constructed based on it was 0.435 and 0.458 in training and test sets,respectively.SVM model was the best one among 8 ML models,with AUC in training and test set of 0.887 and 0.854,respectively.The AUC of clinical-radiomics ML model in training and test sets was 0.887 and 0.860,respectively,not different with AUC of SVM model(both P＞0.05).Decision curve analysis showed that when the threshold value was 0.20-0.45,clinical net benefit of SVM model was higher than that of other models.Conclusion SVM model based on T2WI and DWI radiomics could effectively predict PNI of rectal cancer.

OBJECTIVE To analyze the characteristics of global surgical site infection(SSI)outbreaks and provide references for targeted prevention and control measures.METHODS SSI outbreak events from Jan.1,1990 to Dec.31,2023 were searched from Wanfang Med,CNKI,VIP and PubMed.Data on department distribution dur-ing the outbreak,duration,investigation methods,main causes,transmission modes,pathogen composition and outbreak outcomes were summarized for analysis.RESULTS A total of 111 SSI outbreaks in 20 countries were identi-fied,involving 1 382 patients and 24 deaths.The source of the outbreak was identified in 78 cases,mainly involving med-ical personnel in 27 cases(34.62％),hospital equipment in 19 cases(24.36％),environmental factors in 11 cases(14.10％),workflow factors in 10 cases(12.82％),hospital water factors in 7 cases(8.97％)and disinfectant fac-tors in 4 cases(5.13％).The duration of SSI outbreaks abroad was 5.00(1.50,12.00)months,longer than that in China[1.00(1.00,2.00)month](P＜0.05).In China,the outbreaks mainly occurred in neurosurgery,cardiac surger-y,orthopedics,obstetrics and general surgery,while at abroad,they mainly occurred in cardiac surgery,orthopedics,and involved multiple surgical departments.Environmental hygiene methods were adopted in up to 90.63％of cases in China.Compared with China,analytical epidemiological methods and molecular epidemiological methods were more com-monly used abroad.Targeted measures and strengthened basic measures were implemented for different outbreak sources to terminate the SSI outbreaks.Pulsed-field gel electrophoresis(34 times)was a widely used molecular typing method in outbreak investigations.CONCLUSIONS Based on the analysis of SSI outbreak characteristics and risk factors,it is neces-sary to strengthen medical personnel training and monitoring of special pathogens.At the same time,the epidemiologi-cal investigation capabilities of infection control professionals should be strengthened.

OBJECTIVE To explore the clinical distribution and drug resistance of common species of pathogens iso-lated from a three-A hospital of Guangzhou from Jan.2017 to 2023 Dec.so as to provide bases for clinical diagno-sis and reasonable use of antibiotics.METHODS A total of 10,086 strains of aerobic bacteria were clinically isola-ted from the patients who were hospitalized in a three-A hospital of Guangzhou from 2017 to 2023.The constituent ratios of the common species of pathogens,specimen sources,distribution of departments and drug resistance rates to commonly used antibiotics were retrospectively analyzed.RESULTS Totally 10,086 strains of pathogens were isolated from the specimens of the hospitalized patients from 2017 to 2023.Klebsiella pneumoniae,Pseudo-monas aeruginosa,Escherichia coli,Acinetobacter baumannii and Staphylococcus aureus ranked the top 5 species of pathogens.The sputum,midstream urine and whole blood were the major specimen sources.The hospital-asso-ciated infection was highly prevalent in critical care medicine department,neurology department,geriatrics depart-ment,neurosurgery department and urology department.The result of drug resistance showed that the drug re-sistance rates of the K.pneumoniae and P.aeruginosa strains to various types of antibiotics showed upward trends(P＜0.05);the drug resistance rate of the A.baumannii strains to imipenem was decreased,while the drug resist-ance rates to most of the antibiotics were more than 45％.No gram-positive cocci strains that were resistant to vancomycin,teicoplanin or linezolid were found.CONCLUSIONS The common clinical isolates of pathogens are generally resistant to antibiotics.It is necessary for clinicians to attach great importance to the culture of pathogens and drug susceptibility testing and reasonably use antibiotics based on the result of drug susceptibility testing so as to reduce the occurrence and spread of drug-resistant strains.The hospital should strengthen the surveillance of drug resistance of bacteria so as to boost the clinical curative effect,standardize the management and use of antibi-otics and take effective measures to control of the hospital-associated infection.

There is a large gap between production and demand of plant oil in China, which leads to the heavy reliance on imports. Diacylglycerol acyltransferase (DGAT) and phospholipid: diacylglycerol acyltransferase (PDAT) are two key enzymes responsible for the synthesis of triacylglycerol, thereby affecting the yield and quality of plant oil. This paper comprehensively reviews the research progress in DGAT and PDAT in terms of their biological functions in plant oil synthesis, the molecular mechanisms of regulating plant lipid metabolism, growth, and development under stress, and their roles in driving oil synthesis under the background of synthetic biology. Furthermore, future research and application of DGAT and PDAT are prospected. This review aims to provide a basis for deeply understanding the molecular mechanism of plant oil synthesis and improving the quality and productivity of oil crops by the utilization of DGAT and PDAT genes.
Diacylglycerol O-Acyltransferase/physiology* ; Plant Oils/metabolism* ; Acyltransferases/metabolism* ; Lipid Metabolism/genetics* ; Gene Expression Regulation, Plant ; Triglycerides/biosynthesis*