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.

Objective To analyze the research literature on fire needling therapy published on China National Knowledge Infrastructure(CNKI),Wanfang Data Knowledge Service Platform(Wanfang),and China Science and Technology Journal Database(VIP)in the last 20 years,and to explore the current status and the hotspots of the research,thus to summarize and analyze the spectrum of the dominant diseases and technological transformations of fire needling therapy.Methods CiteSpace and VOSviewer were applied to analyze the keywords,authors and institutions,to draw the scientific knowledge map,and to summarize the disease spectrum.Results A total of 4 226 literature were included,from 2000 to 2023,the number of publications on fire needling therapy research showed an increasing trend,with each of the four periods showing its own characteristics of the times.The"filiform fire needling"and"pricking of fire needling"were widely used as acupuncture tools and acupuncture techniques in the studies,the emergence of high-frequency disease keywords such as"shingles""vitiligo"and"acne"indicates that research on the treatment of skin diseases with fire needling has attracted much attention.The disease spectrum of fire needling therapy was enlarged,involving a total of 356 diseases distributed in 20 disease systems.Conclusion Skin diseases and arthralgia became the dominant diseases of fire needling therapy,the rise of research hot words such as"acne vulgaris""vitiligo""stroke""chronic eczema""filiform fire needling"and"Lingnan fire needling"indicates that fire needling therapy is developing towards research standardization,theoretical diversification and disease diversification.

Objective To investigate the mechanisms by which Porphyromonas gingivalis(P.gingivalis)promotes the malignant progression of oral squamous cell carcinoma(OSCC)through the recruitment of chemokine receptor 6-positive(CCR6+)regulatory T cells(Treg)in the tumor microenvironment(TME).Methods The Cancer Genome Atlas(TCGA)database was used to analyze the correlation between chemokine ligand 20(CCL20),CCR6,and Treg.The Treg enrichment index and the expression levels of interleukin(IL)-10 and tumor necrosis factor β1(TGF-β1)were assessed in the high CCR6 expression group of OSCC patients.C57BL/6 mice were randomly assigned to a control group and an experimental group(n=6 in each group).The control group received a single injection of 100 μL SCC7,a mice head and neck squamous carcinoma cell line,while the experimental group received a single injection of 100 μL mixture of SCC7 cells and P.gingivalis in the cheek.After two weeks,the mice were sacrificed,and immunohistochemistry was performed to assess the expression levels of CCR6 and forkhead box protein 3(FOXP3)in OSCC.Flow cytometry was performed to analyze the effects of P.gingivalis on OSCC malignant biological behavior,CCR6+Treg cells,and the immune microenvironment.Results Bioinformatics analysis revealed a correlation between CCL20,CCR6,and Treg(r=0.373,P＜0.0001).OSCC patients with high CCR6 expression showed higher Treg enrichment scores and increased IL-10 expression.Animal experiments showed that P.gingivalis promoted the increase in the tumor volume(mm3)(0.294±0.105 in the control group and 0.526±0.101 in the experimental group,P＜0.01)and mass(mg)(206.200±53.950 in the control group and 376.000±119.200 in the experimental group,P＜0.01)in mice with OSCC.Immunohistochemistry confirmed a correlation between CCR6 and FOXP3(r=0.659,P＜0.05),and P.gingivalis promoted the expression of CCR6 and FOXP3.Flow cytometry analysis showed that P.gingivalis increased the proportion of CCR6+Treg(％)(13.780±1.506 in the control group and 18.260±2.257 in the experimental group,P＜0.01)and decreased the proportion of CD8+T cells(％)(27.120±1.647 in the control group and 21.060±3.148 in the experimental group,P＜0.01)in OSCC,thereby promoting the formation of a immunosuppressive microenvironment.Conclusion P.gingivalis promotes the malignant progression of OSCC by recruiting CCR6+Treg cells to form an immunosuppressive TME.

Objective To explore the effectiveness of the diffusion of innovation theory in com-bination with multidisciplinary nursing collaboration in intervention for patients with severe pneumonia complicated by heart failure.Methods A total of 120 patients with severe pneumonia complicated by heart failure admitted between April 2021 and April 2024 were enrolled and randomly divided into observation group(n=60)and control group(n=60)using a random black-and-white ball method.The control group received conventional nursing intervention,while the observation group received an intervention model combining the diffusion of innovations theory with multidisciplinary collaboration on top of the conventional nursing.Rehabilitation outcomes(time to control of pulmonary inflammation,time to resolution of cough and expectoration,length of hospital stay)and post-intervention cardiac function[left ventricular ejection fraction(LVEF),left ventricular end-systolic volume(LVESV)]were compared between the two groups.The Minnesota Living with Heart Failure Questionnaire(MLHFQ)was used to assess quality of life,and the Self-Care Heart Failure Index(SCHFI)was used to evaluate self-care behaviors.Complications were compared between the two groups,and cost-effectiveness was analyzed(patient medical expenses and re-hospitalization rates).Results The observation group had shorter time to resolution of cough and expectoration,control of pulmonary inflammation,and length of hospital stay compared with the control group,with statistically significant differences(P＜0.05).After intervention,LVEF increased in both groups compared with pre-intervention lev-els,and was higher in the observation group than in the control group,with a statistically significant difference(P＜0.05);ESV decreased in both groups compared with pre-intervention levels,and was lower in the observation group than in the control group,with a statistically significant difference(P＜0.05).After intervention,physiological,emotional,and social functioning scores in the MLHFQ decreased in both groups compared with pre-intervention levels,and were lower in the ob-servation group than in the control group,with statistically significant differences(P＜0.05).After intervention,scores for self-care maintenance,self-care management,and self-care confidence in the SCHFI increased in both groups,and were higher in the observation group than in the control group,with statistically significant differences(P＜0.05).There was no statistically significant difference in the incidence of complications between the two groups(P＞0.05).Conclusion The combination of the diffusion of innovations theory and multidisciplinary collaboration nursing model can accelerate the rehabilitation process in patients with severe pneumonia complicated by heart fail-ure,improve their quality of life,and effectively enhance their self-care abilities.

To investigate the characteristics and differences of immune cell infiltration between different SDHx gene expression and pheochromocytoma/paraganglioma(PPGL).

ObjectiveTo explore the role of flurochloridone (FLC) on osteogenic differentiation and the potential mechanism of inhibiting bone formation, and to provide new insights into bone health risks associated with FLC pesticide exposure. MethodsNeonatal rat skull differentiation primary osteoblast model was used to investigate the effects of 1, 10 and 100 μmol·L^-1 FLC exposure on cell viability, osteogenic differentiation alkaline phosphatase (ALP) activity, and bone mineralization nodule formation, respectively. The potential mechanism underlying the inhibition of FLC on osteoblast differentiation was analyzed using osteogenic differentiation gene chip technique, and the expression of key genes and proteins in the pathway was validated using reverse transcription polymerase chain reaction (RT-PCR) and protein immunoblotting (Western blot) methods. ResultsExposure to FLC at a concentration of 100 μmol·L⁻¹ reduced cell proliferation, ALP activity, and the formation of mineralized nodules in primary osteoblasts. Gene chip analyses revealed that exposure to 10 μmol·L⁻¹ FLC induced 15 differentially expressed genes (DEGs). Among these, MMP9 and Tnf were up-regulated, while Nkx3⁃2, Tuft1, Bmp2, Col12a1, Pparg, Enam, Igf1, Bmp5, Bmp3, Calcr, Egf, Igfbp3, and Col14a1 were down-regulated. Results of protein-protein interaction analyses and gene ontology enrichment analyses indicated that FLC inhibited the BMP/SMAD pathway involved in osteogenic differentiation. FLC suppressed the protein expression of BMP2 and Osterix, as well as the expression of key genes critical for osteogenic differentiation and ossification, such as BMP2, Runx2, SMAD1, and SMAD5 in the BMP/SMAD pathway. ConclusionFLC affects osteogenic differentiation and bone formation potential by regulating the BMP/SMAD axis and the expression of osteogenic genes, suggesting its potential risk in bone metabolism.

Objective 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.Conclusion 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.