Objective: To explore the effects of personality and sleep quality with psychological distress of junior and senior high school stduents, so as to provide a reference basis for precise interventions of junior and senior high school students mental health. Methods: In October 2023, a convenience sampling method was used to select 9 034 students aged 12-17 from Shiyan City as the study subjects. The Pittsburgh Sleep Quality Index (PSQI) and Kessler Psychological Distress Scale (K10) were used to collect information on sleep quality and psychological distress of junior and senior high school stduents. Between group comparison was conducted by using t-test and Chi-square test. Generalized linear models were employed to analyze the interaction and joint effects of personality and sleep quality on psychological distress. Results: The generalized linear model analysis showed that the interaction between personality and sleep quality on psychological distress was statistically significant of junior and senior high school students(effect size=0.80, P <0.01). The general linear model analysis indicated that, after adjusting for variables such as age, gender, screen time, and daily sitting time with the extroverted and good sleep quality group as the reference, the introverted and poor sleep quality group had the largest mean difference in psychological distress scores (difference=0.51, P <0.05). When stratified by sleep quality, psychological distress scores were higher in the introverted and neutral personality groups with both poor and good sleep quality compared to the extroverted group (poor sleep quality: introverted difference=3.71, neutral difference=1.14; good sleep quality: introverted difference=2.23, neutral difference=0.57, all P < 0.05). When stratified by personality, psychological distress scores were higher in the poor sleep quality groups for introverted, neutral, and extroverted individuals compared to their good sleep quality counterparts (differences=8.66, 7.83, 7.34, all P < 0.05 ). Conclusions Personality and sleep quality have interactive and joint effects on psychological distress of junior and senior high school stduents. Personalized psychological interventions should be developed based on personality and sleep quality.

Background: Influenza A virus (IAV) is a negative-sense RNA virus of the Orthomyxoviridae family and is the etiological agent of a highly contagious acute respiratory disease that can lead to acute lung injury. Objective: To elucidate the molecular mechanisms of IAV infection, an integrative research approach combining gene expression profiling, multinetwork analysis, and in vivo experimental validations was employed. Methods: First, a series of network-based analyses were performed, including protein-protein interaction network construction, weighted gene co-expression network analysis, and subsequent gene set enrichment analysis, to identify the major underlying mechanisms of IAV infection. Following gene expression analysis, core targets, both direct and indirect regulators, were screened. An IAV (H1N1) strain A/PR/8/34-induced acute lung injury mouse model was constructed for in vivo validations. Batch one included two groups to evaluate findings from the multi-network analysis: Mock (n = 10; 5 males and 5 females) and IAV (n = 10; 5 males and 5 females). Batch two included three groups to assess the role of toll-like receptor 3 (TLR3) in IAV infection: Mock (n = 6; 3 males and 3 females), IAV (n = 6; 3 males and 3 females), and TLR3 inhibitor (n = 6; 3 males and 3 females). Body weight was measured on days 0, 3, and 5 after infection. On day 5, lung tissues were collected to assess viral load and histopathological changes. Key targets were examined using enzyme-linked immunosorbent assay, Western blotting, and immunofluorescence staining, both in sera and lung tissues. Results: IAV infection was significantly associated with dysregulation of the immune-inflammation system, such as the LTR, nucle-otide-binding oligomerization domain-(NOD) like receptor, retinoic acid-inducible gene I-like receptor, and nuclear factor kappa-B signaling pathways. Gene set enrichment analysis further indicated that the TLR and necroptosis signaling pathways played crucial roles in the progression of IAV infection (TLR signaling pathway normalized enrichment score = 2.3941, P = 1.00 × 10 ⁻¹⁰; necroptosis normalized enrichment score = 1.9421, P = 6.21 × 10 ⁻⁷). Among the core targets, TLR3 and mixed lineage kinase domain-like protein (MLKL) may regulate gene expression at the transcriptional level (all P < 0.05). In vivo validation using an IAV (PR8) infected acute lung injury mouse model demonstrated increased viral load and lung index, alveolar structural damage, and inflammatory cell infiltration. Immunofluorescence staining exhibited large gaps in Lamin B1 staining and breaches in Emerin signals following IAV-PR8 infection. Expression levels of TLR3, p-receptor-interacting serine/threonine-protein kinase 3 (RIPK3)/RIPK3, and p-mixed lineage kinase domain-like protein (MLKL)/MLKL proteins in lung tissues, as well as proinflammatory factors and mediators in sera, were significantly elevated after IAV infection. Moreover, enhanced neutrophil infiltration (myeloperoxidase) and citrullinated histone H3 (a neutrophil extracellular trap-specific marker), both established indicators of neutrophil extracellular trap formation, were observed. Notably, treatment with a TLR3 inhibitor significantly ameliorated IAV-induced acute lung injury by regulating necroptosis-related targets. Conclusion: Our study provides network-based in vivo evidence that TLR3-receptor-interacting serine/threonine-protein kinase 3-MLKL-mediated necroptosis may underlie IAV-induced acute lung injury and could serve as a potential therapeutic target in severe influenza cases.

Based on network pharmacology,molecular docking,and experimental validation,this study explored the mechanism by which Hypericum japonicum Thunb-Prunella vulgaris treat liver injury.Mice were randomly divided into four groups:a control group(CON),a model group(CCl4),a high-dose drug group(TXD-H),and a low-dose drug group(TXD-L).A mouse liver in-jury model was established using CCl4 induction.The pathological morphology of liver tissue was observed,and the serum levels of aspartate aminotransferase(AST)and alanine aminotransferase(ALT)were measured.Active ingredients of traditional Chinese medicine and targets related to these medicines and diseases were obtained from databases such as TCMSP,PubChem,Swiss Tar-get Prediction,GeneCards,and DisGeNET.The intersection of these targets was used to identify potential drug targets.A network diagram illustrating the relationships between"drug-active com-ponent-intersection target"was constructed using Cytoscape.Potential targets were analyzed using the STRING database for protein-protein interaction(PPI)analysis and the DAVID database for Gene Ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway analysis.Molecular docking validation was performed using AutoDock Tools software.Subsequently,key target genes,including those related to the NLRP3 inflammasome and pyroptosis,were detected to validate the molecular docking results.Animal experimental results showed that compared to the CON group,serum AST and ALT activities in the CCl4 group mice were significantly increased(P＜0.01),while in the TXD-L group,serum AST and ALT activities were significantly decreased(P＜0.05)compared to the CCl4 group,and in the TXD-H group,AST and ALT activities were significantly decreased(P＜0.01).Through network pharmacology,135 potential targets were i-dentified,with key components found to be tetramethoxyluteolin,quercetin,kaempferol,luteolin and morin based on degree values,and key targets including TNF,SRC,AKT1,EGFR and ESR1.GO enrichment analysis yielded 304 entries,while KEGG enrichment analysis identified 91 biologi-cal pathways.Molecular docking results demonstrated strong binding between the main compo-nents of Hypericum japonicurn Thunb-Prunella vulgaris and key targets.qPCR results showed that compared to the CON group,the CCl4 group exhibited upregulated relative expression levels of SRC,EGFR,TNF-α,AKT1,and IL-18 mRNA,with significant increases in MyD88,NF-κB,IL-1β,NLRP3,Caspase-1,and ASC mRNA(P＜0.05),and significant upregulation of TLR4 and GS-DMD mRNA(P＜0.01).Compared to the CCl4 group,the TXD-H group displayed significant downregulation of EGFR,AKT1,TLR4,IL-1β,and GSDMD mRNA(P＜0.01),significant decrea-ses in TNF-α,MyD88,NF-κB,NLRP3,and ASC mRNA(P＜0.05),while SRC,IL-18,and Caspase-1 mRNA showed a downward trend.In conclusion,Hypericum japonicum Thunb-Prunel-la vulgaris exerts hepatoprotective effects through multiple components and pathways,among which inhibition of the NF-κB-NLRP3 pathway to reduce hepatocyte pyroptosis may be one of the important pathways for its protective effects.

Objective To understand the implementation of WS/T 508-2016 and the status of washing and disin-fection of medical textiles in China,and provide basis for the revision of the standard.Methods A questionnaire survey was conducted on the management of medical institutions and washing and disinfection workplace,building layout,personnel protection,equipment and supplies,washing and disinfection principles,and hygiene quality mo-nitoring of medical textiles in 323 medical institutions and 31 washing institutions in China.Meanwhile,microbio-logical index sampling was conducted on 234 pieces of medical textiles in 9 medical institutions and 8 washing insti-tutions in Hubei,Shanxi,Shanghai,and Sichuan Provinces before and after washing and disinfection.Results The awareness rates of WS/T 508-2016 among medical institutions and washing institutions were 96.90％and 96.77％,respectively,and the implementation rates were 94.12％and 96.77％,respectively.47.99％medical in-stitutions use purchasing services for washing and disinfecting medical textiles,and the higher the level of the medi-cal institution was,the higher the proportion of purchasing services was(x2=15.312,P＜0.001).85.16％medi-cal institutions have conducted risk assessments on service providers,and 52.99％were responsible for or participa-ted in pre-job training by the medical institution.Washing institutions were higher than medical institutions in terms of system soundness rate,pre-job training rate,proportion of quality management leaders and full-time(part-time)quality inspectors,setting rate of hand-washing facilities in zones,passages,isolation barriers,dressing(buffer)room,and toilets,configuration rate of hygiene isolation washing equipment,tunnel washing unit,washing equip-ment with heating functions,drying equipment and mechanical ventilation facilities,and specialty machine washing rate.Among 234 medical textiles specimens,11.97％were detected fungi,and the total fungal colonies in 5 clean textiles exceeded 100 CFU/100 cm2.Conclusion WS/T 508-2016 can further standardize the washing and disin-fection of medical textiles in China through strengthening institutional management,improving the supervision level of service providers,perfecting hardware facilities and layout,introducing new technologies,and increasing the mo-nitoring on fungi in clean textiles.

Through molecular docking and experimental validation,24 SPF male KM mice were ran-domly divided into four groups:the control group(CON),model group(LPS),high-dose Yang Shuhua group(YSH-H),which was gavaged with drug solution containing 1 g/mL crude Yang Shuhua,and the low-dose Yang Shuhua group(YSH-L),which was gavaged with drug solution containing 0.5 g/mL crude Yang Shuhua for a 17-day experimental period.Mouse body weight was recorded during the experiment,and fecal scoring was done 1 h after intraperitoneal injection of LPS.At the end of the experiment,histopathological changes in the jejunum tissue were examined,and the expression of tight junction protein-related genes was detected.Compared to the CON group,mice in the LPS group showed significant decreases in villus height,villus height/crypt depth(V/C)ratio(P＜0.01),and significant increase in crypt depth(P＜0.01).The mRNA ex-pression levels of ZO-1 and claudin-1 were significantly decreased(P＜0.01).Compared to the LPS group,mice in the YSH-H group showed significant decrease in crypt depth(P＜0.05),significant increase in villus height(P＜0.05),and significant increase in V/C ratio(P＜0.01).The YSH-L group showed a significant increase in V/C ratio(P＜0.05),a trend of decreased crypt depth,and an increasing trend of villus height.The mRNA expression of ZO-1 in the YSH-H group showed a significant increase(P＜0.05)and claudin-1 showed an increasing trend.Luteolin,quercetin,kaempferol,eriodictyol,and the top 5 potential key targets TP53,IL-1β,TNF,AKT1,and IL-10 exhibited molecular docking scores less than-20.95 kJ/mol,indicating strong activity.GO and KEGG enrichment analysis suggested that Yang Shuhua compounds might act on enteritis through the TNF signaling pathway,IL-17 signaling pathway,and PI3K-Akt signaling pathway.The qPCR results showed an upward trend in the mRNA expression levels of TLR4 and AKT1,significant in-crease in Caspase-1 and ASC(P＜0.05),and significantly increased expression of NF-κB and NL-RP3(P＜0.01).The mRNA expression level of AKT1,TLR4,NLRP3,ASC,Caspase-1,and NF-κB decreased compared to the LPS group,with significant differences in Caspase-1 and NF-κB(P＜0.05).This study suggests that Yang Shuhua exerts anti-enteritis effects through multiple compo-nents and pathways,with blockade of the TLR4-AKT-NF-κB pathway possibly being a key thera-peutic mechanism for treating enteritis.

Iron overload refers to the pathological state in which the iron content in the body exceeds physiological requirements,Resultsing in the deposition of iron in the organs.Iron overload mouse models are an important tool for the study of iron metabolism disorders and related diseases.This paper summarizes the commonly used modeling method used in the construction of iron overload mouse models,which mainly comprise two categories.(1)exogenous iron overload mouse models,constructed through supplementation with extraenteral iron(injected iron)or intraintestinal iron(oral iron);(2)spontaneous iron overload models,constructed by screening for specific mouse lines or modifying iron metabolism-related genes.The method involving extraenteral iron supplementation has a short modeling duration and a high success rate,making it suitable for single and composite iron overload models.However,the high iron absorption rate may cause toxic reactions;thus,the optimal dose needs to be determined in advance.By contrast,intraintestinal iron supplementation is simple and safe,but has a low iron absorption rate and a long modeling duration.The spontaneous iron overload model is mainly used for specific genetic research studies,which are complex and involve high costs.The various modeling method offer diverse research pathways,spanning from molecular to systemic levels.This diversity is conducive to gaining an in-depth understanding of the pathological mechanisms underlying iron overload and provides an experimental basis for the development of new treatments.

Through molecular docking and experimental validation,24 SPF male KM mice were ran-domly divided into four groups:the control group(CON),model group(LPS),high-dose Yang Shuhua group(YSH-H),which was gavaged with drug solution containing 1 g/mL crude Yang Shuhua,and the low-dose Yang Shuhua group(YSH-L),which was gavaged with drug solution containing 0.5 g/mL crude Yang Shuhua for a 17-day experimental period.Mouse body weight was recorded during the experiment,and fecal scoring was done 1 h after intraperitoneal injection of LPS.At the end of the experiment,histopathological changes in the jejunum tissue were examined,and the expression of tight junction protein-related genes was detected.Compared to the CON group,mice in the LPS group showed significant decreases in villus height,villus height/crypt depth(V/C)ratio(P＜0.01),and significant increase in crypt depth(P＜0.01).The mRNA ex-pression levels of ZO-1 and claudin-1 were significantly decreased(P＜0.01).Compared to the LPS group,mice in the YSH-H group showed significant decrease in crypt depth(P＜0.05),significant increase in villus height(P＜0.05),and significant increase in V/C ratio(P＜0.01).The YSH-L group showed a significant increase in V/C ratio(P＜0.05),a trend of decreased crypt depth,and an increasing trend of villus height.The mRNA expression of ZO-1 in the YSH-H group showed a significant increase(P＜0.05)and claudin-1 showed an increasing trend.Luteolin,quercetin,kaempferol,eriodictyol,and the top 5 potential key targets TP53,IL-1β,TNF,AKT1,and IL-10 exhibited molecular docking scores less than-20.95 kJ/mol,indicating strong activity.GO and KEGG enrichment analysis suggested that Yang Shuhua compounds might act on enteritis through the TNF signaling pathway,IL-17 signaling pathway,and PI3K-Akt signaling pathway.The qPCR results showed an upward trend in the mRNA expression levels of TLR4 and AKT1,significant in-crease in Caspase-1 and ASC(P＜0.05),and significantly increased expression of NF-κB and NL-RP3(P＜0.01).The mRNA expression level of AKT1,TLR4,NLRP3,ASC,Caspase-1,and NF-κB decreased compared to the LPS group,with significant differences in Caspase-1 and NF-κB(P＜0.05).This study suggests that Yang Shuhua exerts anti-enteritis effects through multiple compo-nents and pathways,with blockade of the TLR4-AKT-NF-κB pathway possibly being a key thera-peutic mechanism for treating enteritis.

Iron overload refers to the pathological state in which the iron content in the body exceeds physiological requirements,Resultsing in the deposition of iron in the organs.Iron overload mouse models are an important tool for the study of iron metabolism disorders and related diseases.This paper summarizes the commonly used modeling method used in the construction of iron overload mouse models,which mainly comprise two categories.(1)exogenous iron overload mouse models,constructed through supplementation with extraenteral iron(injected iron)or intraintestinal iron(oral iron);(2)spontaneous iron overload models,constructed by screening for specific mouse lines or modifying iron metabolism-related genes.The method involving extraenteral iron supplementation has a short modeling duration and a high success rate,making it suitable for single and composite iron overload models.However,the high iron absorption rate may cause toxic reactions;thus,the optimal dose needs to be determined in advance.By contrast,intraintestinal iron supplementation is simple and safe,but has a low iron absorption rate and a long modeling duration.The spontaneous iron overload model is mainly used for specific genetic research studies,which are complex and involve high costs.The various modeling method offer diverse research pathways,spanning from molecular to systemic levels.This diversity is conducive to gaining an in-depth understanding of the pathological mechanisms underlying iron overload and provides an experimental basis for the development of new treatments.

Objective To establish an optimized diagnostic model for hepatocellular carcinoma(HCC),designated as G-GADA,in chronic hepatitis B(CHB)patients based on the parameters of age,sex,alpha-fetoprotein(AFP),des-γ-carboxy prothrombin(DCP),and Golgi protein 73(GP73),to address the problems of low sensitivity and specificity in the early diagnosis of hepatitis B virus(HBV)-related liver cancer,and to assess the value of this model in the diagnosis of HCC.Methods A retrospective analysis was performed for 201 CHB patients(CHB group),137 patients with HBV-related liver cirrhosis(LC group),and 111 treatment-na?ve patients with newly diagnosed HCC(HCC group)who were admitted to Mengchao Hepatobiliary Hospital of Fujian Medical University from June 2015 to June 2020.Serological markers(AFP,DCP,alpha-fetoprotein L3%[AFP-L3%],and GP73)were compared between groups and were analyzed in terms of their differences from the clinical and tumor characteristics of HCC patients,and the Spearman correlation analysis was used to assess the correlation between different markers.A Logistic regression analysis was used to establish a diagnostic model for liver cancer,and the receiver operating characteristic(ROC)curve was used to assess the diagnostic performance of each marker.Results Comparison of clinical features between CHB,LC,and HCC patients showed that HCC patients had significantly higher age,proportion of male patients,and serum levels of DCP,AFP,GP73,and AFP-L3%(all P<0.05).In HCC patients,DCP levels are associated with tumor size and microvascular invasion;AFP levels are related to patient age,tumor size,tumor number,distant metastasis,and microvascular invasion;AFP-L3%levels are associated with patient age,tumor size,tumor number,distant metastasis,Milan staging,and microvascular invasion;GP73 levels are linked to tumor number,distant metastasis,and microvascular invasion(all P<0.05).The correlation analysis of the serum markers showed a strong positive correlation between AFP and AFP-L3%(r=0.71,P<0.05)and a moderate positive correlation between AFP and GP73(r=0.33,P<0.05)and between AFP-L3%and GP73(r=0.41,P<0.05).Based on the features of age,sex,DCP,AFP,and GP73,the multivariate Logistic regression analysis was used to establish a G-GADA diagnostic model for HCC,and for all patients,the G-GADA model had an area under the ROC curve(AUC)of 0.915(95%confidence interval[CI]:0.875-0.945)in the derivation cohort and 0.913(95%CI:0.862-0.950)in the validation cohort for the diagnosis of HCC.In the AFP-negative patients,the G-GADA model achieved an AUC of 0.884(95%CI:0.833-0.924)in the derivation cohort and 0.851(95%CI:0.779-0.907)in the validation cohort,and in the patients with liver cirrhosis,the G-GADA model achieved an AUC of 0.901(95%CI:0.841-0.944)in the derivation cohort and 0.885(95%CI:0.806-0.940)in the validation cohort.Conclusion The G-GADA diagnostic model based on multiple variables significantly improves the detection rate of HCC,and demonstrates superior diagnostic performance in patients with low AFP expression and those with liver cirrhosis.The G-GADA model has a better clinical application value in the noninvasive diagnosis of HCC.

Objective To establish an optimized diagnostic model for hepatocellular carcinoma(HCC),designated as G-GADA,in chronic hepatitis B(CHB)patients based on the parameters of age,sex,alpha-fetoprotein(AFP),des-γ-carboxy prothrombin(DCP),and Golgi protein 73(GP73),to address the problems of low sensitivity and specificity in the early diagnosis of hepatitis B virus(HBV)-related liver cancer,and to assess the value of this model in the diagnosis of HCC.Methods A retrospective analysis was performed for 201 CHB patients(CHB group),137 patients with HBV-related liver cirrhosis(LC group),and 111 treatment-na?ve patients with newly diagnosed HCC(HCC group)who were admitted to Mengchao Hepatobiliary Hospital of Fujian Medical University from June 2015 to June 2020.Serological markers(AFP,DCP,alpha-fetoprotein L3%[AFP-L3%],and GP73)were compared between groups and were analyzed in terms of their differences from the clinical and tumor characteristics of HCC patients,and the Spearman correlation analysis was used to assess the correlation between different markers.A Logistic regression analysis was used to establish a diagnostic model for liver cancer,and the receiver operating characteristic(ROC)curve was used to assess the diagnostic performance of each marker.Results Comparison of clinical features between CHB,LC,and HCC patients showed that HCC patients had significantly higher age,proportion of male patients,and serum levels of DCP,AFP,GP73,and AFP-L3%(all P<0.05).In HCC patients,DCP levels are associated with tumor size and microvascular invasion;AFP levels are related to patient age,tumor size,tumor number,distant metastasis,and microvascular invasion;AFP-L3%levels are associated with patient age,tumor size,tumor number,distant metastasis,Milan staging,and microvascular invasion;GP73 levels are linked to tumor number,distant metastasis,and microvascular invasion(all P<0.05).The correlation analysis of the serum markers showed a strong positive correlation between AFP and AFP-L3%(r=0.71,P<0.05)and a moderate positive correlation between AFP and GP73(r=0.33,P<0.05)and between AFP-L3%and GP73(r=0.41,P<0.05).Based on the features of age,sex,DCP,AFP,and GP73,the multivariate Logistic regression analysis was used to establish a G-GADA diagnostic model for HCC,and for all patients,the G-GADA model had an area under the ROC curve(AUC)of 0.915(95%confidence interval[CI]:0.875-0.945)in the derivation cohort and 0.913(95%CI:0.862-0.950)in the validation cohort for the diagnosis of HCC.In the AFP-negative patients,the G-GADA model achieved an AUC of 0.884(95%CI:0.833-0.924)in the derivation cohort and 0.851(95%CI:0.779-0.907)in the validation cohort,and in the patients with liver cirrhosis,the G-GADA model achieved an AUC of 0.901(95%CI:0.841-0.944)in the derivation cohort and 0.885(95%CI:0.806-0.940)in the validation cohort.Conclusion The G-GADA diagnostic model based on multiple variables significantly improves the detection rate of HCC,and demonstrates superior diagnostic performance in patients with low AFP expression and those with liver cirrhosis.The G-GADA model has a better clinical application value in the noninvasive diagnosis of HCC.