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.

Chemotherapy is currently the mainstay of systemic management for triple-negative breast cancer (TNBC), but chemoresistance significantly impacts patient outcomes. Our research indicates that Doxorubicin (Dox)-resistant TNBC cells exhibit increased glycolysis and ATP generation compared to their parental cells, with this metabolic shift contributing to chemoresistance. We discovered that ALKBH3, an m¹A demethylase enzyme, is crucial in regulating the enhanced glycolysis in Dox-resistant TNBC cells. Knocking down ALKBH3 reduced ATP generation, glucose consumption, and lactate production, implicating its involvement in mediating glycolysis. Further investigation revealed that aldolase A (ALDOA), a key enzyme in glycolysis, is a downstream target of ALKBH3. ALKBH3 regulates ALDOA mRNA stability through m¹A demethylation at the 3'-untranslated region (3'UTR). This methylation negatively affects ALDOA mRNA stability by recruiting the YTHDF2/PAN2-PAN3 complex, leading to mRNA degradation. The ALKBH3/ALDOA axis promotes Dox resistance both in vitro and in vivo. Clinical analysis demonstrated that ALKBH3 and ALDOA are upregulated in breast cancer tissues, and higher expression of these proteins is associated with reduced overall survival in TNBC patients. Our study highlights the role of the ALKBH3/ALDOA axis in contributing to Dox resistance in TNBC cells through regulation of ALDOA mRNA stability and glycolysis.

Targeted protein degradation via nanoparticle-based universal strategy modifies nanoparticles with antibodies and ingeniously utilizes its cellular transport characteristics. This strategy achieved targeted degradation of extracellular proteins without complex design.Image 1.

Objective To understand the impact of bed-making manipulation on the air surrounding bed units in hemodialysis room,evaluate the effectiveness of routine terminal disinfection,and provide scientific basis for optimi-zing infection control measures.Methods Air specimens(pre-bed-making group)and environmental object surface specimens(pre-terminal disinfection group)around bed units were collected when hemodialysis was about to be fi-nished.Air specimens after bed-making(bed-making group)and environmental object surface specimens after ter-minal disinfection(terminal disinfection group)were also collected.Bacterial colonies were counted and identified.Results A total of 714 air specimens were collected from 238 bed units of 45 hemodialysis units before and during bed-making.The average bacterial colony count during bed-making was higher than that before bed-making([2.72±3.43]CFU/plate vs[0.69±1.50]CFU/plate,P＜0.05).The qualified rate of microbial colony count before bed-making was higher than that during bed-making(96.64％vs 64.71％,P＜0.05).A total of 450 environmental ob-ject surface specimens from 90 bed units of 45 hemodialysis units were collected before and after terminal disinfec-tion.The average bacterial colony count before terminal disinfection was higher than that after terminal disinfection([8.18±20.6]CFU/cm2 vs[1.49±3.44]CFU/cm2.P＜0.05).The qualified rate of microbial colony count after terminal disinfection was higher than that before terminal disinfection(98.22％vs 92.44％,P＜0.05).The micro-organisms in the air and environment were mainly coagulase negative Staphylococcus.Conclusion Bed-making has a certain impact on the air microorganisms around the bed units,and terminal disinfection can reduce the bacterial co-lony count of the environment.It is necessary to pay attention to the cleaning and disinfection of the environment for medical treatment,and carry out bed-making manipulation under clear condition to minimize the risk of infection.

Objective To understand the impact of bed-making manipulation on the air surrounding bed units in hemodialysis room,evaluate the effectiveness of routine terminal disinfection,and provide scientific basis for optimi-zing infection control measures.Methods Air specimens(pre-bed-making group)and environmental object surface specimens(pre-terminal disinfection group)around bed units were collected when hemodialysis was about to be fi-nished.Air specimens after bed-making(bed-making group)and environmental object surface specimens after ter-minal disinfection(terminal disinfection group)were also collected.Bacterial colonies were counted and identified.Results A total of 714 air specimens were collected from 238 bed units of 45 hemodialysis units before and during bed-making.The average bacterial colony count during bed-making was higher than that before bed-making([2.72±3.43]CFU/plate vs[0.69±1.50]CFU/plate,P＜0.05).The qualified rate of microbial colony count before bed-making was higher than that during bed-making(96.64％vs 64.71％,P＜0.05).A total of 450 environmental ob-ject surface specimens from 90 bed units of 45 hemodialysis units were collected before and after terminal disinfec-tion.The average bacterial colony count before terminal disinfection was higher than that after terminal disinfection([8.18±20.6]CFU/cm2 vs[1.49±3.44]CFU/cm2.P＜0.05).The qualified rate of microbial colony count after terminal disinfection was higher than that before terminal disinfection(98.22％vs 92.44％,P＜0.05).The micro-organisms in the air and environment were mainly coagulase negative Staphylococcus.Conclusion Bed-making has a certain impact on the air microorganisms around the bed units,and terminal disinfection can reduce the bacterial co-lony count of the environment.It is necessary to pay attention to the cleaning and disinfection of the environment for medical treatment,and carry out bed-making manipulation under clear condition to minimize the risk of infection.

ObjectiveTo analyze the trend and influencing factors of low birth weight (LBW) among newborns in Chongming District of Shanghai from 2008 to 2022, so as to provide references for the development of intervention measures reducing the rate of LBW. MethodsBirth surveillance data of Chongming District of Shanghai from 2008 to 2022 were collected and organized, and the annual percentage change (APC) of LBW was calculated by using Joinpoint 5.0.2 software for trend change analysis. Logistic regression analysis was used to analyze the influencing factors of LBW. ResultsThe overall incidence of LBW was 3.71% in Chongming District, Shanghai from 2008 to 2022. Joinpoint trend analysis showed that the incidence of LBW in Chongming District had an upward trend (APC=5.49%, 95%CI: 3.31%‒7.72%, P<0.001).Multivariate logistic regression analysis showed that preterm birth, multiple births, female infants, birth defects, first pregnancy, primiparity, and a young father age (<20 years) were risk factors for LBW in Chongming District. Among the term infants, female infants, birth defects, and first pregnancy were risk factors for LBW (P<0.05). Female infants, birth defects, first pregnancy, primiparity, advanced maternal age (≥35 years), and a young father age (<20 years) were risk factors in singleton neonates. ConclusionThe incidence of LBW among newborns is on the rise in Chongming District of Shanghai. Therefore, high risk groups need to be identified, and prenatal check-ups and pregnancy care should be strengthened to reduce the risk of neonatal LBW.

Objective To investigate the independent risk factors affecting the prognosis of chronic active antibody-mediated rejection (caAMR) after kidney transplantation. Methods A retrospective analysis was conducted on 61 patients who underwent renal biopsy and were diagnosed with caAMR. The patients were divided into caAMR group (n=41) and caAMR+TCMR group (n=20) based on the presence or absence of concurrent acute T cell-mediated rejection (TCMR). The patients were followed up for 3 years. The value of 24-hour urinary protein and estimated glomerular filtration rate (eGFR) at the time of biopsy in predicting graft loss was assessed using receiver operating characteristic (ROC) curves. The independent risk factors affecting caAMR prognosis were analyzed using the LASSO-Cox regression model. The correlation between grouping, outcomes, and Banff scores was compared using Spearman rank correlation matrix analysis. Kaplan-Meier analysis was used to evaluate the renal allograft survival rates of each subgroup. Results The 3-year renal allograft survival rates for the caAMR group and the caAMR+TCMR group were 83% and 79%, respectively. The area under the ROC curve (AUC) for predicting 3-year renal allograft loss was 0.83 ［95% confidence interval (CI) 0.70-0.97］ for eGFR and 0.78 (95% CI 0.61-0.96) for 24-hour urinary protein at the time of biopsy. LASSO-Cox regression analysis and Kaplan-Meier analysis showed that eGFR≤25.23 mL/(min·1.73 m²) and the presence of donor-specific antibody (DSA) against human leukocyte antigen (HLA) class I might be independent risk factors affecting renal allograft prognosis, with hazard ratios of 7.67 (95% CI 2.18-27.02) and 5.13 (95% CI 1.33-19.80), respectively. A strong correlation was found between the Banff chronic lesion indicators of renal interstitial fibrosis and tubular atrophy (P<0.05). Conclusions The presence of HLA class I DSA and eGFR≤25.23 mL/(min·1.73 m²) at the time of biopsy may be independent risk factors affecting the prognosis of caAMR.