ObjectiveThis study aimed to provide a scientific basis for the safety management of drinking water by assessing the contamination levels of 21 per- and polyfluoroalkyl substances (PFASs) in water samples collected from the Yangtze River Delta region. MethodsSolid-phase extraction coupled with ultra-high-performance liquid chromatography-tandem mass spectrometry (UHPLC-MS/MS) was employed to determine 21 PFASs in 6 source water samples, 20 treated water samples, and 60 tap water samples collected from 5 administrative districts in the Yangtze River Delta region across four seasons in 2023. The Kruskal-Wallis H test was used to compare differences in PFAS concentrations among the three types of water samples, followed by post hoc pairwise comparisons with Bonferroni correction. Removal efficiencies of target compounds were also calculated. ResultsAmong the 86 samples, 14 PFASs were detected, with 7 compounds detected in 100% of samples. The total concentrations of PFASs in source water, treated water, and tap water ranged from 63.85 to 190.54 ng·L^-¹, 55.75 to 774.36 ng·L^-¹, and 40.72 to 689.80 ng·L^-¹, respectively. The compounds with the highest median concentrations were perfluorobutanoic acid (PFBA) (40.19, 15.20, and 14.05 ng·L^-¹), perfluorohexanoic acid (PFHxA) (29.69, 32.62, and 34.24 ng·L^-¹), perfluorooctanoic acid (PFOA) (17.65, 39.45, and 36.83 ng·L^-¹), and potassium perfluorobutanesulfonic acid (PFBS) (16.99, 24.38, and 23.89 ng·L^-¹). Notably, concentrations of PFOA (7.71‒71.63 ng·L^-¹) and PFOS (-¹) in tap water were below the regulatory limits specified in GB 5749‒2022 Standards for Drinking Water Quality (PFOA: 0.000 08 mg·L^-1, PFOS: 0.000 04 mg·L^-1). Significant seasonal variations in PFAS concentrations were observed, with total PFAS levels in March being higher than those in September and November (adjusted P<0.001, and P=0.006), and levels in May being higher than those in September (adjusted P=0.037). The removal efficiencies of PFASs in the water treatment plants ranged from -14% to 34%. ConclusionPFAS contamination is widespread in source water, treated water, and tap water in the Yangtze River Delta region, and concentrations of PFOA and PFOS in all tested water samples comply with the Chinese national standards for drinking water quality (GB 5749‒2022). The use of PFASs should be continuously regulated to ensure water safety.

ObjectiveTo explore the influencing factors of tumor regression patterns after neoadjuvant chemotherapy （NACT） in breast cancer， construct and validate a predictive model for tumor regression patterns. MethodsA total of 1 314 breast cancer patients who received NACT between March 1， 2019， and March 1， 2024， were selected as study subjects and randomly divided into a validation cohort （n=301） and a study cohort （n=603）. Within the study cohort， patients were further stratified based on post-NACT tumor regression patterns into a concentric regression group（case group）（n=387） and a non-concentric regression group（control group）（n=216）. General clinicopathological data were collected and compared between the two groups. Unconditional logistic regression was used to analyze the influencing factors of tumor regression patterns post-NACT and establish a predictive model. The Hosmer-Lemeshow test and receiver operating characteristic （ROC） curve were employed to evaluate the model's goodness-of-fit and predictive performance， followed by external validation. ResultsAmong all subjects in the study cohort， 174 patients （28.9%） achieved pathological complete response （pCR）， 213 （35.3%） showed unifocal regression， 92 （15.3%） had multifocal regression， 78 （12.9%） presented main residual lesions with satellite lesions， 43 （7.1%） had stable disease， and 3 （0.5%） experienced disease progression. Significant differences were observed between the two groups in age， estrogen receptor（ER）， progesterone receptor（PR）， Ki-67， human epidermal growth factor receptor 2（HER2）， histological grade， prognostic nutritional index（PNI）， and chemotherapy regimen （all P ＜ 0.05）. Logistic regression analysis revealed that age （OR=0.563， 95% CI： 0.358–0.885）， ER （OR=0.521， 95% CI： 0.350–0.773）， PR（OR=0.552， 95% CI： 0.379–0.806）， HER2（OR=3.729， 95% CI： 2.488–5.590）， Ki-67 （OR=1.804， 95% CI： 1.071–3.039）， PNI （OR=2.285， 95% CI： 1.307–3.997） and histological grade （Ⅲ） （OR=2.194 95% CI： 1.283–3.751） were independent influencing factors for concentric regression post-NACT （all P ＜ 0.05）. The Hosmer-Lemeshow test for the logistic regression model yielded a P-value of 0.927， and the area under the ROC curve was 0.731 （95%CI： 0.690-0.772， P ＜ 0.001）. External validation demonstrated that the area under the ROC curve of this prediction model was 0.764 （95% CI： 0.709–0.820， P＜0.001）， with a sensitivity of 75.0% and a specificity of 65.7%. The Youden's index was 0.407. ConclusionThis logistic regression model exhibits high predictive value and provides a reference for clinicians to predict tumor regression patterns in breast cancer patients after NACT.

Objective: To investigate the prevalence and influencing factors of hepatitis C virus (HCV) infection among drug users in Baoshan District, Shanghai Municipality, so as to provide insights into strengthening HCV intervention among drug users. Methods: Drug users under community management in Baoshan District from 2017 to 2023 were recruited. Demographic information, drug use behaviors, sexual behaviors and receipt of intervention service were collected through questionnaire surveys. Blood samples were collected for HCV antibody testing, and the prevalence of anti-HCV antibody was analyzed. Factors affecting the prevalence of anti-HCV antibody among drug users were analyzed using a multivariable logistic regression model. Results: A total of 2 801 drug users were surveyed, including 2 233 males (79.72%) and 568 females (20.28%). The majority of drug users were aged 40 to <60 years (1 663 drug users, 59.37%). The prevalence of anti-HCV antibody was 28.35%, showing an overall upward trend from 2017 to 2023 (P<0.05). Multivariable logistic regression analysis showed that females (OR=1.468, 95%CI: 1.169-1.844), 40 years and over (40 to <50 years, OR=2.441, 95%CI: 1.838-3.242; 50 to <60 years, OR=2.377, 95%CI: 1.787-3.161; 60 to 97 years, OR=1.637, 95%CI: 1.163-2.304), using traditional drugs (OR=2.488, 95%CI: 1.967-3.147) or mixed drugs (OR=2.950, 95%CI: 1.974-4.409), having injected drugs (not share needles, OR=3.649, 95%CI: 2.849-4.673; share needles, OR=3.532, 95%CI: 1.851-6.738) and never using condoms during sexual contacts with spouses/cohabitants in the past year (OR=1.975, 95%CI: 1.354-2.879) were associated with a higher prevalence of anti-HCV antibody; the educational level of high school/technical secondary school (OR=0.483, 95%CI: 0.280-0.835) or college and above (OR=0.280, 95%CI: 0.129-0.608) was associated with a lower prevalence of anti-HCV antibody. Conclusions The prevalence of anti-HCV antibody among drug users in Baoshan District showed an upward trend from 2017 to 2023. Gender, age, educational level, type of drugs, history of drug injection and never using condoms during sexual contacts with spouses/cohabitants were influencing factors for prevalence of anti-HCV antibody among drug users.

OBJECTIVES: To investigate pharmacologically active components of Yiqi Zishen Formula (YZF) and their mechanisms for alleviating airway inflammation in mice with chronic obstructive pulmonary disease (COPD). METHODS: Ultra-high-performance liquid chromatography coupled with quadrupole-orbitrap mass spectrometry was employed to characterize the chemical components in YZF and YZF-medicated rat serum. A compound-disease target network was constructed based on serum components of YZF to screen the key pathways and targets using enrichment analysis. A mouse model of cigarette smoke-induced COPD was used to evaluate the anti-inflammatory effect of YZF and validate the expression of key proteins in network pharmacology-enriched pathways. Fifty male C57BL/6J mice were randomized equally into control group, COPD model group, high- and low-dose YZF treatment groups, and N-acetylcysteine treatment group. Pulmonary function of the mice was assessed using whole-body plethysmography, and lung histopathology, alveolar structure, and airway remodeling were analyzed using HE staining. The levels of IL-1β, IL-6, and TNF‑α in bronchoalveolar lavage fluid (BALF) were determined with ELISA, and pulmonary expressions of PI3K, Akt, phosphorylated Akt (p-Akt), p65, and phosphorylated p65 (p-p65) were detected using immunohistochemistry. RESULTS: We identified a total of 156 chemical components (including 26 flavonoids or flavonoid glycosides, 27 alkaloids, and 11 saponins) in YZF and 43 prototype components in medicated rat serum. Network pharmacology revealed 704 YZF-related targets and 1199 COPD-associated targets. Integrated analysis suggested that the anti-COPD effects of YZF were associated with the PI3K-Akt signaling pathway. In mouse models of COPD, YZF treatment significantly increased mean alveolar number and peak expiratory flow (P<0.05), reduced mean linear intercept, bronchial wall thickness, lung coefficient, and BALF cytokine levels, and suppressed the expressions of PI3K, Akt, p-Akt, p65, and p-p65 in the lung tissues. CONCLUSIONS YZF alleviates COPD symptoms and airway inflammation in mice possibly by inhibiting the PI3K/Akt/NF‑κB pathway through its multiple components that interact with multiple targets.
Animals ; Pulmonary Disease, Chronic Obstructive/metabolism* ; Drugs, Chinese Herbal/therapeutic use* ; Signal Transduction/drug effects* ; Male ; Mice, Inbred C57BL ; Mice ; Proto-Oncogene Proteins c-akt/metabolism* ; Phosphatidylinositol 3-Kinases/metabolism* ; NF-kappa B/metabolism* ; Inflammation/drug therapy* ; Rats

OBJECTIVE: This study investigates the efficacy and mechanisms of Qingjie Fuzheng Granules (QFG) in inhibiting colitis-associated colorectal cancer (CAC) development via RNA sequencing (RNA-seq) and 16S ribosomal RNA (rRNA) correlation analysis. METHODS: CAC was induced in BALB/c mice using azoxymethane (AOM) and dextran sulfate sodium (DSS), and QFG was administered orally to the treatment group. The effects of QFG on CAC were evaluated using disease index, histology, and serum T-cell ratios. RNA-seq and 16S rRNA analysis assessed the transcriptome and microbiome change. Key pharmacodynamic pathways were identified by integrating these data and confirmed via Western blotting and immunofluorescence. The link between microbiota and CAC-related markers was explored using linear discriminant analysis effect size and Spearman correlation analysis. RESULTS: Long-term treatment with QFG prevented AOM/DSS-induced CAC formation, reduced levels of interleukin (IL)-1β, tumor necrosis factor-alpha (TNF-α), IL-6, and interferon γ (IFN-γ), and increased CD3⁺ and CD4⁺/CD8⁺ T cells ratio, without causing hepatic or renal toxicity. A 16S rRNA analysis revealed that QFG rebalanced the Firmicutes/Bacteroidetes ratio and mitigated AOM/DSS-induced microbiota disturbances. Transcriptomics and Western blotting analysis identified the nucleotide-binding oligomerization domain-containing protein 2 (NOD2)/nuclear factor kappa-B (NF-κB) pathway as key for QFG's treatment against CAC. Furthermore, QFG decreased the abundance of Bacilli, Bacillales, Staphylococcaceae, Staphylococcus, Lactobacillales, Aerococcus, Alloprevotella, and Akkermansia, while increasing Clostridiales, Lachnospiraceae, Lachnospiraceae_NK4A136_group, Ruminococcaceae, and Muribaculaceae, which were highly correlated with CAC-related markers or NOD2/NF-κB pathway. CONCLUSION By mapping the relationships between CAC, immune responses, microbiota, and key pathways, this study clarifies the mechanism of QFG in inhibiting CAC, highlighting its potential for clinical use as preventive therapy.

Objective:To explore the spousal correlations of total cholesterol(TC),total triglyceride(TG),low-density lipoprotein cholesterol(LDL-C),and high-density lipoprotein cholesterol(HDL-C),and to investigate the reasons behind these spousal correlations.Methods:Participants and data were from the baseline survey of family-based cohort studies in Fangshan,Beijing and Tulou,Fujian.The ori-gin of spousal correlations were explored from perspectives of convergence,assortative mating,social ho-mogamy.Pearson's correlation and generalized linear models(GLM)were used to estimate the spousal correlation.Convergence was assessed by Pearson's correlation between the phenotypic differences be-tween couples and the duration of marriage,with GLM used for further validation.Pearson's correlation of genetic risk scores(GRS)and couple-specific Mendelian randomization(MR)were calculated to assess the genetic correlation and possible causal relationships between spouses.Two-independent-sample t-tests were used to compare GRS consistency across subgroups divided by education attainment,couple-specific MR and Q statistics used to test assortative mating in subgroups and intergroup differences.Results:In the study,342 couples(287 couples from Fangshan and 55 couples from Fujian)were included,with the average age of(64.91±8.76)years.Spousal correlations of TC,TG,HDL-C,and LDL-C showed statistically significant associations both before and after adjusting for covariates,with effect sizes of 0.229(95％CI:0.125-0.327),0.257(95％CI:0.155-0.354),0.179(95％CI:0.074-0.280),and 0.181(95％CI:0.076-0.282).For convergence,for each additional year of marriage,ΔTC increased by 0.016 mmol/L(95％CI:0.001-0.033 mmol/L),and ΔLDL-C increased by 0.017 mmol/L(95％CI:0.002-0.031 mmol/L).For assortative mating,GRS correlations and results of couple specific MR didn't show any statistical significance.For social homogamy,no differences in GRS or assortative mating were found between subgroups stratified by education attainment.Conclusion:The blood lipid in participants exhibit spousal phenotypic correlations,however,no effects of convergence,assortative mating or social homogamy were observed.More independent studies with larger sample sizes are warranted to further validate these findings in the future.

Objective:To describe the distribution characteristics of alcohol consumption in adult twins in the Chinese National Twin Registry (CNTR), and further explore the influence of genetic factors on alcohol consumption in adult twins.Methods:The subjects of the study were twins registered by CNTR in 11 project areas across China from 2010 to 2018. A total of 56 966 twins (28 483 pairs) aged 18 years and above who answered questions about drinking behavior were included, and the random effect model was used to describe the population and regional distribution characteristics of alcohol consumption. Intra-pair analysis was performed to calculate the concordance rate and heritability of their alcohol consumption.Results:The age of all subjects was (36.6±12.0) years, and current drinkers accounted for 16.6% (9 461/56 966) of all subjects. In men, those aged 50-59 years, those in northern China, those living in rural area, those with low education level and those with high BMI, the proportions of current drinkers were higher. After excluding 468 pairs of twins who had stopped alcohol use and 21 764 pairs of twins who had no drink or had small amount drink, an intra-pair analysis was conducted in 4 929 pairs of same-sex twins, and found that the concordance rate of alcohol consumption was 64.0% (2 059/3 215) in monozygotic twins, and 52.6% (902/1 714) in dizygotic twins, the difference was significant ( P<0.001), and the heritability of alcohol consumption was 24.1% (95% CI: 18.9%- 29.3%). The further stratified analysis found that in southern men, the heritability was highest in those aged 40-49 years (36.1%, 95% CI: 21.6%-50.7%), while in northern men, the heritability was highest in those aged 50-59 years (34.2%, 95% CI: 18.1%-50.3%). Conclusions:In adult twins in China, there were population and regional differences in the distribution of alcohol consumption behavior, and alcohol consumption was influenced by genetic factors, and gender, age and region had potential modifying effects.

OBJECTIVE To investigate the current status of monitoring indicators related to the"Perioperative In-fection Control"in medical institutions above the secondary level in Guizhou Province,and to delve into the imple-mentation of key measures for infection prevention and control during the perioperative period for patients under-going surgical operations.METHODS Based on the"Implementation Plan for the'Perioperative Infection Control'Initiative in Guizhou Province",a"Case Investigation Form on Key Measures for Infection Prevention and Control During the Perioperative Period for Patients Undergoing Surgical Operation"was developed.A total of 138 medi-cal institutions participated in the case investigation,and a total of 2 128 cases were investigated.RESULTS The overall monitoring indicators for the"Perioperative Infection Control"initiative in the 138 medical institutions a-bove the secondary level in Guizhou Province were at a relatively low level.The skin cleansing compliance rate was 80.32％,the hair removal compliance rate was 16.43％,the prophylactic antibacterial drug administration rate within 0.5-1 hour before surgery was 55.94％and the antibacterial drug discontinuation rate within 24 hours after prophylactic medication for type Ⅰ incision surgeries was 56.48％.The hair removal compliance rate was higher in tertiary medical institutions(19.21％)than in secondary medical institutions(14.34％)(P=0.039).The distri-bution of the four monitoring indicators varied in clinical departments and surgery types,with statistically signifi-cant differences(P＜0.05).The preferred method for surgical site skin cleansing in medical institutions across the province was local wiping,primarily with clean water(57.21％).The primary method for hair removal was razors(68.82％),and hair removal on the day of surgery was most common(61.75％).CONCLUSIONS Conduc-ting a survey on the current status of"Perioperative Infection Control"initiative monitoring indicators in medi-cal institutions in Guizhou Province helps to understand the implementation of key measures for perioperative in-fection prevention and control and set intervention targets,thus providing references for establishing a dynam-ic monitoring indicator change mechanism.

Objective To analyze the latent classes of social alienation in colorectal cancer patients and further explore the influencing factors and cumulative effects of risk factors across different classes,thereby providing a reference for individualized interventions.Methods Convenience sampling was used to select colorectal cancer patients hospitalized in the gastrointestinal surgery and oncology departments of 3 tertiary-level hospitals in Shandong Province from January to June 2023 as the study subjects.A questionnaire survey was conducted using the General Information Questionnaire,Social Avoidance Scale,Social Anxiety Scale,UCLA Loneliness Scale,Sense of Coherence Scale,Family Cohesion Scale,and Social Support Rating Scale.Data analysis was performed using latent profile analysis and multivariate logistic regression analysis.Results A total of 292 questionnaires were distributed,with 270 valid responses collected,yielding a response rate of 92.47％.The results of the latent profile analysis indicated that social alienation among colorectal cancer patients could be categorized into 3 latent groups:the"low alienation group"(42.59％),the"high alienation-high social avoidance group"(14.08％),and the"moderate alienation-high social anxiety group"(43.33％).Results of logistic regression analysis revealed that employment status,stoma status,metastasis,sense of coherence,family cohesion,and social support were influencing factors across different categories.Moreover,a cumulative effect of sense of coherence,family cohesion,and social support on distinct categories was observed(P＜0.05).Conclusion Social alienation among colorectal cancer patients exhibits group heterogeneity.Healthcare professionals should identify the characteristic differences among patients,prioritise those with multiple risk factors,and develop targeted intervention measures to help them better integrate into society.