Objective:This study aims to explore whether there are specific behavioral deficits of response inhibition and emotional processing in patients with checking obsessive-compulsive disorder (OCD) and those with washing OCD.Methods:A cross-sectional study was conducted from January 2020 to December 2022, collecting clinical data from 75 OCD patients at the outpatient psychological consultation clinic of Xiangya Second Hospital and the clinical psychology department of Hunan Brain Hospital. The sample included 40 OCD patients with checking type (checking group, 24 males, 16 females, aged 14-34 years, mean age 22.1±5.0 years) and 35 OCD patients with washing type (washing group, 12 males, 23 females, aged 14-41 years, mean age 22.6±6.7 years). An age-matched healthy control group (control group) of 80 individuals (HCs, 37 males and 43 females, aged 14-25 years, mean age 20.8±1.9 years) was also recruited. All participants completed the Go/No-go task and Hariri task with behavioral data recorded. The Dimensional Yale-Brown Obsessive-Compulsive Scale was used to assess the severity of OCD symptoms. The Center for Epidemiologic Studies Depression Scale (CES-D) and State Anxiety Inventory (STAI) were used to assess the severity of depression and anxiety. A 3 (group: checking OCD, washing OCD and HC)×2 (task type: Go vs. No-go/Shape vs. Face) repeated-measures ANOVA was conducted to compare the behavioral performance across tasks.Results:Compared with HC group, both checking OCD group and washing OCD group had significantly higher scores in depression and anxiety ( F=85.43, 32.33,both P<0.05). When performing Go/No-go task, a significant group×task interaction effect was observed ( F3(2, 152)=3.23, P3=0.042, partialη32=0.04). In the checking OCD group, No-go accuracy was significantly lower than Go accuracy (accuracy=0.821 vs. 0.893, P<0.001); the checking OCD had significantly lower accuracy than HC in the No-go task (accuracy=0.821 vs. 0.876, P=0.005); there were no significant group differences between the washing OCD and HC in the No-go task ( P>0.05). When performing Hariri task, a significant group×task interaction effect was found ( F3(2, 152)=4.91, P3=0.009, partial η32=0.06). The washing OCD group showed significantly lower accuracy in matching emotional faces than the control group (0.879 vs. 0.936, P=0.001), whereas the checking OCD group showed no significant difference from the HC ( P>0.05); there were no significant group differences in shape matching task ( P>0.05). The accuracy of shape matching task was significantly higher than face matching task in the three groups (shape: checking OCD=0.936,washing OCD=0.929,HC=0.943; face:checking OCD=0.877,washing OCD=0.844,HC=0.917;all P>0.05). Conclusions:Checking OCD and washing OCD exhibit distinct behavioral impairment patterns in response inhibition and emotional processing. Checking-type OCD is primarily characterized by impaired response inhibition, whereas washing-type OCD is mainly associated with deficits in emotion processing.

Objective To analyze relevant literature on the essence of traditional Chinese medicine syndromes using bibliometric methods;To understand the current research status and hotspots in this field;To provide references for relevant research.Methods Research literature about the essence of TCM syndromes was retrieved from CNKI,VIP,Wanfang Data and CBM from 1st Jan.1979 to 30th June 2024.CiteSpace 6.2 software was used to conduct visualization analysis on authors,institutions,keywords,etc.Results A total of 695 articles were included,with an overall upward trend in publication volume followed by stabilization.The authors who published more articles included Luo Ren(13 articles),Zhao Xiaoshan(13 articles),Li Zegeng(12 articles),etc.The institutions with more publications included Shandong University of Traditional Chinese Medicine(35 articles),Beijing University of Chinese Medicine(33 articles),Chengdu University of Traditional Chinese Medicine(26 articles),etc.Institutions were clustered regionally,and cooperation was mostly between TCM universities and their affiliated hospitals,with less cross regional communication.High frequency keywords included kidney yang deficiency syndrome,metabolomics,animal models,TCM syndrome types,coronary heart disease,lung qi deficiency syndrome,spleen qi deficiency syndrome,liver depression and spleen deficiency syndrome,etc;Keyword clustering covered aspects such as biomolecules and metabolism,TCM syndromes,pathology,disease models,and animal research.Conclusion Research in the field of the essence of TCM syndromes is gradually receiving more attention.Exploring the essence of TCM syndromes at the molecular level through techniques such as genomics,transcriptomics,metabolomics and proteomics is a research hotspot and trend in this field.

Structural optimization of lead compounds is a crucial step in drug discovery.One optimization strategy is to modify the molecular structure of a scaffold to improve both its biological activities and absorption,distribution,metabolism,excretion,and toxicity(ADMET)properties.One of the deep molecular generative model approaches preserves the scaffold while generating drug-like molecules,thereby accelerating the molecular optimization process.Deep molecular diffusion generative models simulate a gradual process that creates novel,chemically feasible molecules from noise.However,the existing models lack direct interatomic constraint features and struggle with capturing long-range dependencies in macromolecules,leading to challenges in modifying the scaffold-based molecular structures,and creates limitations in the stability and diversity of the generated molecules.To address these challenges,we propose a deep molecular diffusion generative model,the three-dimensional(3D)equivariant diffusion-driven molecular generation(3D-EDiffMG)model.The dual strong and weak atomic interaction force-based long-range dependency capturing equivariant encoder(dual-SWLEE)is introduced to encode both the bonding and non-bonding information based on strong and weak atomic interactions.Addi-tionally,a gate multilayer perceptron(gMLP)block with tiny attention is incorporated to explicitly model complex long-sequence feature interactions and long-range dependencies.The experimental results show that 3D-EDiffMG effectively generates unique,novel,stable,and diverse drug-like molecules,highlighting its potential for lead optimization and accelerating drug discovery.

Structural optimization of lead compounds is a crucial step in drug discovery. One optimization strategy is to modify the molecular structure of a scaffold to improve both its biological activities and absorption, distribution, metabolism, excretion, and toxicity (ADMET) properties. One of the deep molecular generative model approaches preserves the scaffold while generating drug-like molecules, thereby accelerating the molecular optimization process. Deep molecular diffusion generative models simulate a gradual process that creates novel, chemically feasible molecules from noise. However, the existing models lack direct interatomic constraint features and struggle with capturing long-range dependencies in macromolecules, leading to challenges in modifying the scaffold-based molecular structures, and creates limitations in the stability and diversity of the generated molecules. To address these challenges, we propose a deep molecular diffusion generative model, the three-dimensional (3D) equivariant diffusion-driven molecular generation (3D-EDiffMG) model. The dual strong and weak atomic interaction force-based long-range dependency capturing equivariant encoder (dual-SWLEE) is introduced to encode both the bonding and non-bonding information based on strong and weak atomic interactions. Additionally, a gate multilayer perceptron (gMLP) block with tiny attention is incorporated to explicitly model complex long-sequence feature interactions and long-range dependencies. The experimental results show that 3D-EDiffMG effectively generates unique, novel, stable, and diverse drug-like molecules, highlighting its potential for lead optimization and accelerating drug discovery.

Objective Based on data mining,network pharmacology,and molecular docking techniques,the medication patterns and underlying mechanisms of the therapeutic approach of trengthening the spleen,transforming stasis and removing toxins methods(JPHYJD)in treating gastric precancerous lesions(GPL)were analyzed.Methods Initially,data mining was conducted to extract relevant literature on the application of JPHYJD in GPL.An analytical network map was then constructed to get the identification of a representative drug set.In the network pharmacology phase.Active compounds and their targets were retrieved from TCMSP,while disease-related targets specific to GPL were sourced from Gene Cards,OMIM,and TTD.A"drug-disease"target intersection was mapped using bioinformatics platforms,and an"active compound-key target"network was constructed in Cytoscape.Protein-protein interaction(PPI)networks were obtained from the STRING database,and GO and KEGG enrichment analyses were performed to elucidate biological processes and pathways.Preliminary validation was conducted using molecular docking technology.Results 63 prescriptions were analyzed,with Baizhu-Ezhu-Danshen-Baihuashecao identified as the most representative drug set.85 active compounds and 590 predicted targets were discovered,intersecting with 4,726 disease-related targets,resulting in 412 key targets.GO and KEGG enrichment analyses yielded 3,541 enriched terms and 196 pathways,respectively.Key compounds,such as quercetin and alexandrin,targeted pivotal proteins like tumor protein 53(TP53),signal transducer and activator of transcription 3(STAT3),and epidermal growth factor receptor(EGFR)were implicated in regulating critical pathways like PI3K/AKT,exerting therapeutic effects.Molecular docking results demonstrated stable binding interactions between the core active compounds and their targets,reinforcing the predicted interactions.Conclusion This study,integrating data mining,network pharmacology,and molecular docking techniques,successfully elucidated the therapeutic patterns and underlying mechanisms of the JPHYJD approach in GPL treatment.

Objective:This study aims to explore whether there are specific behavioral deficits of response inhibition and emotional processing in patients with checking obsessive-compulsive disorder (OCD) and those with washing OCD.Methods:A cross-sectional study was conducted from January 2020 to December 2022, collecting clinical data from 75 OCD patients at the outpatient psychological consultation clinic of Xiangya Second Hospital and the clinical psychology department of Hunan Brain Hospital. The sample included 40 OCD patients with checking type (checking group, 24 males, 16 females, aged 14-34 years, mean age 22.1±5.0 years) and 35 OCD patients with washing type (washing group, 12 males, 23 females, aged 14-41 years, mean age 22.6±6.7 years). An age-matched healthy control group (control group) of 80 individuals (HCs, 37 males and 43 females, aged 14-25 years, mean age 20.8±1.9 years) was also recruited. All participants completed the Go/No-go task and Hariri task with behavioral data recorded. The Dimensional Yale-Brown Obsessive-Compulsive Scale was used to assess the severity of OCD symptoms. The Center for Epidemiologic Studies Depression Scale (CES-D) and State Anxiety Inventory (STAI) were used to assess the severity of depression and anxiety. A 3 (group: checking OCD, washing OCD and HC)×2 (task type: Go vs. No-go/Shape vs. Face) repeated-measures ANOVA was conducted to compare the behavioral performance across tasks.Results:Compared with HC group, both checking OCD group and washing OCD group had significantly higher scores in depression and anxiety ( F=85.43, 32.33,both P<0.05). When performing Go/No-go task, a significant group×task interaction effect was observed ( F3(2, 152)=3.23, P3=0.042, partialη32=0.04). In the checking OCD group, No-go accuracy was significantly lower than Go accuracy (accuracy=0.821 vs. 0.893, P<0.001); the checking OCD had significantly lower accuracy than HC in the No-go task (accuracy=0.821 vs. 0.876, P=0.005); there were no significant group differences between the washing OCD and HC in the No-go task ( P>0.05). When performing Hariri task, a significant group×task interaction effect was found ( F3(2, 152)=4.91, P3=0.009, partial η32=0.06). The washing OCD group showed significantly lower accuracy in matching emotional faces than the control group (0.879 vs. 0.936, P=0.001), whereas the checking OCD group showed no significant difference from the HC ( P>0.05); there were no significant group differences in shape matching task ( P>0.05). The accuracy of shape matching task was significantly higher than face matching task in the three groups (shape: checking OCD=0.936,washing OCD=0.929,HC=0.943; face:checking OCD=0.877,washing OCD=0.844,HC=0.917;all P>0.05). Conclusions:Checking OCD and washing OCD exhibit distinct behavioral impairment patterns in response inhibition and emotional processing. Checking-type OCD is primarily characterized by impaired response inhibition, whereas washing-type OCD is mainly associated with deficits in emotion processing.

Objective To analyze relevant literature on the essence of traditional Chinese medicine syndromes using bibliometric methods;To understand the current research status and hotspots in this field;To provide references for relevant research.Methods Research literature about the essence of TCM syndromes was retrieved from CNKI,VIP,Wanfang Data and CBM from 1st Jan.1979 to 30th June 2024.CiteSpace 6.2 software was used to conduct visualization analysis on authors,institutions,keywords,etc.Results A total of 695 articles were included,with an overall upward trend in publication volume followed by stabilization.The authors who published more articles included Luo Ren(13 articles),Zhao Xiaoshan(13 articles),Li Zegeng(12 articles),etc.The institutions with more publications included Shandong University of Traditional Chinese Medicine(35 articles),Beijing University of Chinese Medicine(33 articles),Chengdu University of Traditional Chinese Medicine(26 articles),etc.Institutions were clustered regionally,and cooperation was mostly between TCM universities and their affiliated hospitals,with less cross regional communication.High frequency keywords included kidney yang deficiency syndrome,metabolomics,animal models,TCM syndrome types,coronary heart disease,lung qi deficiency syndrome,spleen qi deficiency syndrome,liver depression and spleen deficiency syndrome,etc;Keyword clustering covered aspects such as biomolecules and metabolism,TCM syndromes,pathology,disease models,and animal research.Conclusion Research in the field of the essence of TCM syndromes is gradually receiving more attention.Exploring the essence of TCM syndromes at the molecular level through techniques such as genomics,transcriptomics,metabolomics and proteomics is a research hotspot and trend in this field.

Objective Based on data mining,network pharmacology,and molecular docking techniques,the medication patterns and underlying mechanisms of the therapeutic approach of trengthening the spleen,transforming stasis and removing toxins methods(JPHYJD)in treating gastric precancerous lesions(GPL)were analyzed.Methods Initially,data mining was conducted to extract relevant literature on the application of JPHYJD in GPL.An analytical network map was then constructed to get the identification of a representative drug set.In the network pharmacology phase.Active compounds and their targets were retrieved from TCMSP,while disease-related targets specific to GPL were sourced from Gene Cards,OMIM,and TTD.A"drug-disease"target intersection was mapped using bioinformatics platforms,and an"active compound-key target"network was constructed in Cytoscape.Protein-protein interaction(PPI)networks were obtained from the STRING database,and GO and KEGG enrichment analyses were performed to elucidate biological processes and pathways.Preliminary validation was conducted using molecular docking technology.Results 63 prescriptions were analyzed,with Baizhu-Ezhu-Danshen-Baihuashecao identified as the most representative drug set.85 active compounds and 590 predicted targets were discovered,intersecting with 4,726 disease-related targets,resulting in 412 key targets.GO and KEGG enrichment analyses yielded 3,541 enriched terms and 196 pathways,respectively.Key compounds,such as quercetin and alexandrin,targeted pivotal proteins like tumor protein 53(TP53),signal transducer and activator of transcription 3(STAT3),and epidermal growth factor receptor(EGFR)were implicated in regulating critical pathways like PI3K/AKT,exerting therapeutic effects.Molecular docking results demonstrated stable binding interactions between the core active compounds and their targets,reinforcing the predicted interactions.Conclusion This study,integrating data mining,network pharmacology,and molecular docking techniques,successfully elucidated the therapeutic patterns and underlying mechanisms of the JPHYJD approach in GPL treatment.

Objective: To evaluate the preventive effect of implementing the free influenza vaccination policy on school absence among primary and secondary school students, so as to provide a reference for formulating and adjusting vaccination strategies. Methods: Among primary and secondary school students aged 6 to 18 in Longgang District, Shenzhen, they were divided into a vaccinated group (265 996 students) and an unvaccinated group (122 513 students) according to their influenza vaccination history during November 2023. Propensity score matching was used to conduct a 1∶1 match between the two groups to balance covariates. The number of absences per month was set as the dependent variable to construct a difference in differences model, and Poisson regression was employed to analyze the overall and multi time point effects. Results: Vaccination against influenza was associated with low rate of absenteeism among primary and secondary school students, with an overall preventive effect of 26.52% (95% CI = 23.47% -29.45%). The preventive effects in November (the month of vaccination) and December 2023, January and March 2024 were 42.12%, 40.12%, 30.33% and 20.91%, respectively. The preventive effect of the influenza vaccine on absenteeism among primary school students (26.39%) was not significantly different from that among secondary school students ( 27.97% ) ( P >0.05). The regression coefficient for class vaccination rates ranged from 0.998 to 0.999 ( P <0.01), indicating that for every 10% increase in influenza vaccination rates, absenteeism could be reduced by 1.5% to 2.2%. Conclusion Implementing free influenza vaccination for primary and secondary school students might help to reduce the risk of absenteeism, yielding significant socioeconomic benefits.

Recent studies on male infertility reveal a growing worry: more infertile men are dealing with inflammation in the testis. Analyzing testicular biopsies from infertile men highlights a significant presence of inflammation. This connection, supported by clinical and pathological evidence, emphasizes that testicular inflammation hampers sperm production, leading to lasting declines in sperm count and quality. However, the exact reasons behind male infertility due to orchitis, a type of testicular inflammation, are still uncertain. Understanding these fundamental aspects of molecular signals and cellular mechanisms in testicular inflammation is crucial. Our review delves into recent literature with a dual objective: elucidating potential mechanisms involving immune cells, non-immune cells, and cytokines that link orchitis to male infertility, while also paving the way for precise interventions and solutions to address the challenges of male infertility.