Objective: To investigate the potential mechanisms of Xanthatin in inhibiting the proliferation of laryngeal squamous cell carcinoma(LSCC) cells by integrating network pharmacology and in vitro experiments. Methods: The targets of Xanthatin were identified using databases such as PharmMapper, while disease-related targets for LSCC were obtained from databases such as DisGeNET. The overlapping targets between Xanthatin and LSCC were determined by intersecting these datasets. A protein-protein interaction(PPI) network was constructed based on the overlapping targets, and key targets were identified. Gene ontology(GO) and Kyoto encyclopedia of genes and genomes(KEGG) enrichment analyses of the overlapping targets were performed using R software. A "Xanthatin-target-pathway" network was visualized using Cytoscape 3.8.0 software. The preliminary validation of the aforementioned results was performed using molecular docking and transcriptomics. The effects of Xanthatin on the proliferation of TU177 cells were assessed using CCK-8 and colony formation assays. Additionally, Western blot analysis was employed to measure the expression levels of PI3K, p-PI3K, Akt, and p-Akt proteins. Results: A total of 159 overlapping targets between Xanthatin and LSCC were identified, and seven key targets, including AKT1, were screened. GO enrichment analysis yielded 2 455 entries, and KEGG enrichment analysis identified 172 pathways, such as the PI3K-Akt signaling pathway. Xanthatin exhibited favorable binding activity with the core target proteins of LSCC in molecular docking experiments. The transcriptomics results showed high consistency with the predictions from network pharmacology. CCK-8 and colony formation assays demonstrated that Xanthatin at concentrations of 1, 2, and 4 μmol/L significantly inhibited the proliferation of TU177 cells in a dose-dependent manner. The expression levels of p-PI3K and p-Akt proteins decreased with increasing concentrations of Xanthatin. Conclusion Xanthatin may exert an inhibitory effect on the proliferation of LSCC cells by modulating the PI3K-Akt signaling pathway.

Objective:To explore the chain mediating role of self-management efficacy and self-perceived burden between family function and decision fatigue in gastric cancer patients.Methods:Convenience sampling was used to select 219 gastric cancer inpatients in Xinxiang Central Hospital of Henan Province from June 2023 to December 2024 as study subjects. Family Assessment Device, Chinese version of the Strategies Used by People to Promote Health, Self-Perceived Burden Scale, and Decision Fatigue Scale were used to conduct the survey. The chain mediating effect were tested using Model 6 in the SPSS PROCESS program.Results:Family function, self-management efficacy, self-perceived burden and decision fatigue scores of gastric cancer patients were (73.08±8.47), (90.15±14.33), (31.64±6.55), and (19.23±3.05), respectively. Univariate analysis showed that age, education level, per capita monthly family income, tumor stage and treatment method were the influencing factors of decision fatigue in gastric cancer patients, and the difference was statistically significant ( P<0.05). Correlation analysis showed that family function was negatively correlated with self-management efficacy ( P<0.05) and positively correlated with self-perceived burden and decision fatigue ( P<0.05), and self-management efficacy was negatively correlated with self-perceived burden and decision fatigue ( P<0.05), and self-perceived burden was positively correlated with decision fatigue ( P<0.05), and the differences of the above were statistically significant. Mediating effect analysis showed that family function positively predicted decision fatigue in gastric cancer patients, with a direct effect of 0.117, accounting for 62.57% of the total effect. Self-management efficacy and self-perceived burden realized the mediating effect between family function and decision fatigue through three mediating pathways. Mediating pathway 1 was family function → self-management efficacy → decision fatigue, with an effect value of 0.032, which accounted for 17.11% of the total effect. Mediating pathway 2 was family function→ self-perceived burden → decision fatigue, with an effect value of 0.026, which accounted for 13.90% of the total effect. Mediating path 3 was family function → self-management efficacy → self-perceived burden → decision fatigue, with an effect value of 0.012, accounting for 6.42% of the total effect. The total mediating effect was 0.070, accounting for 37.43% of the total effect. Conclusions:Family function can not only directly influence decision fatigue in gastric cancer patients, but also indirectly influence decision fatigue through the mediating role of self-management efficacy and self-perceived burden. Decision fatigue of gastric cancer patients could be reduced in the future by improving family function, increasing patients' self-management efficacy, and reducing their self-perceived burden.

OBJECTIVE To comprehensively evaluate the quality of adverse drug reaction （ADR） reports in clinical departments or ward （hereinafter referred to as “department”） based on game theory combinatorial weighting-technique for order preference by similarity to ideal solution （TOPSIS）-rank-sum ratio （RSR） method， providing a reference for the further standardization of ADR reporting. METHODS Based on relevant documents and scoring criteria， the ADR report quality evaluation standards previously developed by our team were modified. Using game theory principles， the fusion of subjective and objective weights for each indicator was determined. A game theory combinatorial weighting-TOPSIS-RSR model was developed to evaluate and categorize the quality of raw ADR reports submitted by departments to the pharmacy department at Bozhou Hospital of Anhui Medical University. RESULTS A total of 222 ADR reports from 23 departments were included. The game theory combinatorial weighting method identifies weak points in management， such as ADR symptoms and signs， the description of underlying diseases， timing of ADR， by optimizing the weightings of the indicators. The TOPSIS-RSR method calculates that the mean relative closeness of the departments was 0.401 7， indicating that the overall report quality ranged from moderate to substandard. 20095） Three departments， including neurosurgery， demonstrated medium reporting quality [estinate closeness （Ĉ）i ≥0.506]， while two departments， such as the respiratory department，were rated as unqualified （Ĉi＜0.278）. The remaining departments were all deemed qualified （0.278≤ Ĉi＜0.506）. CONCLUSIONS The developed game theory combinatorial weighting-TOPSIS-RSR method provides an effective approach for the quality evaluation of ADR reports， which not only balances subjective and objective weights but also facilitates comparisons among different departments. There is still room for improvement in the ADR report quality at the hospital.

Objective:To explore the chain mediating role of self-management efficacy and self-perceived burden between family function and decision fatigue in gastric cancer patients.Methods:Convenience sampling was used to select 219 gastric cancer inpatients in Xinxiang Central Hospital of Henan Province from June 2023 to December 2024 as study subjects. Family Assessment Device, Chinese version of the Strategies Used by People to Promote Health, Self-Perceived Burden Scale, and Decision Fatigue Scale were used to conduct the survey. The chain mediating effect were tested using Model 6 in the SPSS PROCESS program.Results:Family function, self-management efficacy, self-perceived burden and decision fatigue scores of gastric cancer patients were (73.08±8.47), (90.15±14.33), (31.64±6.55), and (19.23±3.05), respectively. Univariate analysis showed that age, education level, per capita monthly family income, tumor stage and treatment method were the influencing factors of decision fatigue in gastric cancer patients, and the difference was statistically significant ( P<0.05). Correlation analysis showed that family function was negatively correlated with self-management efficacy ( P<0.05) and positively correlated with self-perceived burden and decision fatigue ( P<0.05), and self-management efficacy was negatively correlated with self-perceived burden and decision fatigue ( P<0.05), and self-perceived burden was positively correlated with decision fatigue ( P<0.05), and the differences of the above were statistically significant. Mediating effect analysis showed that family function positively predicted decision fatigue in gastric cancer patients, with a direct effect of 0.117, accounting for 62.57% of the total effect. Self-management efficacy and self-perceived burden realized the mediating effect between family function and decision fatigue through three mediating pathways. Mediating pathway 1 was family function → self-management efficacy → decision fatigue, with an effect value of 0.032, which accounted for 17.11% of the total effect. Mediating pathway 2 was family function→ self-perceived burden → decision fatigue, with an effect value of 0.026, which accounted for 13.90% of the total effect. Mediating path 3 was family function → self-management efficacy → self-perceived burden → decision fatigue, with an effect value of 0.012, accounting for 6.42% of the total effect. The total mediating effect was 0.070, accounting for 37.43% of the total effect. Conclusions:Family function can not only directly influence decision fatigue in gastric cancer patients, but also indirectly influence decision fatigue through the mediating role of self-management efficacy and self-perceived burden. Decision fatigue of gastric cancer patients could be reduced in the future by improving family function, increasing patients' self-management efficacy, and reducing their self-perceived burden.

Objective To investigate the computed tomography (CT) features of solitary nodular invasive mucinous lung adenocarcinoma (IMA) in stage IA and establish its prediction model. Methods We included 53 lesions of 53 patients with stage-IA IMA and 141 control lesions of 141 patients with invasive non-mucinous lung adenocarcinoma (NIMA) that were confirmed by surgical pathology in our hospital from January 2017 to December 2019. Univariable analysis was used to compare the demographics and CT signs of the two groups. Multivariable logistic regression analysis was performed to determine the main factors influencing solitary nodular IMA. A risk score prediction model was constructed based on the regression coefficients of the main influencing factors. A receiver operating characteristic (ROC) curve was used to assess the performance of the model. Results The univariable analysis showed significant differences between the two groups in age, largest nodule diameter, tumor-lung interface, lobulation, spiculation, air-bronchogram or vacuole sign, vessel abnormalities (P < 0.05). The spiculation sign was different between the two groups, which was longer and softer in the IMA group while shorter and harder in the NIMA group. There was no significant difference in sex, nodule shape, or pleural retraction (P > 0.05), but irregular shapes were slightly more frequent in the IMA group. The multivariable logistic regression analysis showed that obscure tumor-lung interface (odds ratio (OR = 20.930, P < 0.05), air-bronchogram or vacuole sign (OR = 7.126, P < 0.05), spiculation sign (OR = 4.207, P < 0.05), and vessel abnormalities (OR = 0.147, P < 0.05) were the main influencing factors. The prediction model based on those factors’ regression coefficients had an area under the ROC curve of 0.829 (P < 0.05). Conclusion Compared with those with NIMA, patients with solitary nodular IMA in stage IA were older and more likely to have the CT features of obscure tumor-lung interface, air-bronchogram or vacuole sign, and longer and softer spiculation. Based on the regression coefficients of tumor-lung interface, air-bronchogram or vacuole sign, spiculation, and vessel abnormalities, the risk score prediction model showed good predictive performance for solitary nodular IMA.

Objective To evaluate the effect of 56 ancestry informative single nucleotide polymorphism （aiSNP） genetic markers in the ForenSeq^TM DNA Signature Prep Kit on ancestry inference. Methods A total of 85 samples from five populations including Hebei Han population, Inner Mongolia autonomous region Mongolian population, Tibet autonomous region Tibetan population, Xinjiang Uygur autonomous region Uygur population and Nigerian population were collected. The library was constructed with the ForenSeq^TM DNA Signature Prep Kit and sequencing was performed based on the MiSeq FGx Forensic Genomics System. Using universal analysis software （UAS） of ForenSeq^TM, principal component analysis （PCA）, Structure and likelihood ratio method was used on the genotyping data of 56 aiSNP markers, respectively, and the genetic relationships between populations and inference of the origin of ancestors were analyzed. Results Among the five populations tested, the four ethnic populations in China （Hebei Han population, Inner Mongolia autonomous region Mongolian population, Tibet autonomous region Tibetan population and Xinjiang Uygur autonomous region Uygur population） could be significantly distinguished from Nigerian population. Xinjiang Uygur autonomous region Uygur individuals were shown as having mixed origins of ancestors and could be distinguished from the other three Chinese populations. However, the other three populations in China （Hebei Han population, Inner Mongolia autonomous region Mongolian population and Tibet autonomous region Tibetan population） could not be effectively distinguished by the system. Conclusion The 56 aiSNP markers in the ForenSeq^TM DNA Signature Prep Kit can make accurate ancestry inference from the intercontinental level, but it is not yet able to distinguish between Chinese subpopulations.
Asian People/genetics* ; China ; DNA ; DNA Fingerprinting ; Ethnicity/genetics* ; Forensic Genetics/methods* ; Genetics, Population ; High-Throughput Nucleotide Sequencing/methods* ; Humans ; Polymorphism, Single Nucleotide

OBJECTIVE: To investigate the mechanisms underlying ozone-induced inactivation of poliovirus type 1 (PV1). METHODS: We used cell culture, long-overlapping RT-PCR, and spot hybridization assays to verify and accurately locate the sites of action of ozone that cause PV1 inactivation. We also employed recombinant viral genome RNA infection models to confirm our observations. RESULTS: Our results indicated that ozone inactivated PV1 primarily by disrupting the 5'-non-coding region (5'-NCR) of the PV1 genome. Further study revealed that ozone specifically damaged the 80-124 nucleotide (nt) region in the 5'-NCR. Recombinant viral genome RNA infection models confirmed that PV1 lacking this region was non-infectious. CONCLUSION In this study, we not only elucidated the mechanisms by which ozone induces PV1 inactivation but also determined that the 80-124 nt region in the 5'-NCR is targeted by ozone to achieve this inactivation.
5' Untranslated Regions ; Animals ; Cercopithecus aethiops ; Genome, Viral ; drug effects ; Oxidants, Photochemical ; pharmacology ; Ozone ; pharmacology ; Poliovirus ; drug effects ; Vero Cells ; Virus Inactivation

Objective: To understand the prevalence of alcohol use and related factors in HIV positive and HIV negative males. Methods: Baseline data were from the prospective cohort study of comparative HIV and aging research in Taizhou of Zhejiang province from January to December, 2017. The information about alcohol use in the last month was collected through a face-to-face questionnaire interview. Participants were categorized into non-current drinkers, light/moderate drinkers and heavy drinkers according to the US National Institute on Alcoholism and Alcohol Abuse (NIAAA) standard. Results: A total of 1 367 HIV positive males and 2 418 HIV negative males were included. Current alcohol use rate (35.2%, 481/1 367) and heavy alcohol use rate (5.0%, 24/481) were significantly lower in HIV positive males than in HIV negative males (48.0%, 1 161/2 418; 23.5%, 273/1 161), but the proportion of drinking wine and yellow rice wine were significantly higher (21.8%, 105/481; 9.1%, 44/481) in HIV positive males than in HIV negative males (13.5%, 157/1 161; 5.8%, 67/1 161). The multivariate multinomial logistic regression analysis results showed that larger waist circumference, current smoking and regular physical exercise were associated with heavy alcohol use behavior in HIV positive males, and age ≥30 years, current smoking, regular physical exercise, higher score of depressive symptoms, heterosexual transmission route and baseline CD₄⁺T cells counts of 200-499 cells/μl were significantly associated with mild/moderate alcohol use behavior in HIV positive males. Conclusions The alcohol use rate was significantly lower in HIV positive males than in HIV negative males in Taizhou. It is important to strengthen intervention on alcohol drinking behavior and chronic disease risk factors, such as larger waist circumference, smoking and so on.

Objective: To understand the characteristics of sleep disorder in HIV positive and negative individuals, and compare the distributions and epidemiologic characteristic of different subtypes of sleep disorder between two groups. Methods: Baseline data were from the prospective cohort study of comparative HIV and aging research in Taizhou of Zhejiang province from January to December, 2017. A total of 459 HIV positive patients and 798 HIV negative controls with sleep disorders (Pittsburg Sleep Quality Index >5 or at least one question with answers of "most nights" or "every night" for Jenkins Sleep Scale) were included in the analysis. Cluster analysis was conducted to identify the different subtypes of sleep disorder based on 15 sleep-related questions. Results: A total of 1 257 participants were divided into three groups (clusters), i.e. difficulty falling asleep and sleep keeping group (cluster 1), the mild symptoms group (cluster 2), and restless night and daytime dysfunction group (cluster 3), accounting for 19.4% (89/459), 63.8% (293/459) and 16.8% (77/459) in HIV positive group and 13.8% (110/798), 60.5% (483/798) and 25.7% (205/798) in HIV negative group (χ²=16.62, P<0.001). In HIV positive group, the patients in cluster 1 and 3 were older and had higher frailty score, the patients in cluster 1 had highest level of depression, and the more patients in cluster 3 had low body weight or overweight (χ²=13.29, P=0.039; χ²=23.33, P<0.001; χ²=25.71, P<0.001; χ²=15.37, P=0.004). In HIV-negative group, similar findings were found for age, depressive symptoms and frailty score. In addition, the proportion of those who were illiteracy or with primary school education level was significantly high in cluster 1, and the proportion of abnormal waist-to-hip ratio was significantly higher in cluster 1 and 3 (χ²=30.59, P<0.001; χ²=11.61, P=0.003). Conclusions The proportion of every subtype of sleep disorder in HIV positive individuals were different to those in HIV negative individuals. Mental and physical health status were the main factors affecting the prevalence of sleep disorder. It is necessary to conduct targeted interventions to improve sleep quality.

Objective: To investigate the distribution of mitochondrial haplogroups and their correlation with neurocognitive disorder (NCD) in HIV positive individuals. Methods: Baseline data were from the prospective cohort study of comparative HIV and aging research in Taizhou of Zhejiang province from January to December, 2017. A cross-sectional survey was performed in 448 HIV positive individuals. Sanger method was used for the sequencing and genotyping of whole mitochondrial genome of HIV positive individuals. NCD prevalence in the HIV positive individuals was assessed by Mini-mental State Examination (MMSE) in questionnaire interviews. Multivariable logistic regression analysis was performed to assess the associations between mtDNA haplogroups and NCD. Results: In this sample, mitochondrial haplogroups D (19.6%, 88/448), B (19.4%, 87/448) and F(17.0%, 76/448) were the most predominant haplogroups. The overall prevalence rate of NCD was 20.3% (91/448), and was high in haplogroups A (23.1%, 9/39), D (21.6%, 19/88), F (26.3%, 20/76) and M7 groups (26.1%, 12/46), respectively. In multivariable logistic regression analysis after adjusting confounding factors, such as age and gender, compared with haplogroup A, there were no differences in the prevalence rate of NCD among HIV positive individuals with haplogroup B, D, F, M7, M8, N9, and others. Conclusion The study explored primarily correlation between mitochondrial haplogroups and NCD among HIV positive individuals and suggested that there is no significant association between mitochondrial haplogroups and NCD, but further longitudinal investigation with large sample size of HIV positive population is needed to confirm this finding.