ObjectiveTo reveal the molecular mechanism by which the traditional Chinese medicine compound prescription Qiangjing tablets regulate the aging of the testicular tissue and Leydig cells in rats through the cyclin-dependent kinase 4 （CDK4）-early 2 factor （E2F） signaling pathway. MethodsFor the cell experiment， 2-month-old SPF-grade SD male rats were selected and randomly assigned into a blank control group （administrated with an equal volume of 0.9% sodium chloride injection） and a Qiangjing tablets group （20 rats in each group） according to body weight. The Leydig cell model of aging was established by treatment of TM3 cells with 100 μmol·L^-1 H₂O₂， and the modeling performance was evaluated based on the levels of p16 and p21 determined by Western blot. The antioxidant NAC （1 mmol·L^-1） was used as the positive control for eliminating reactive oxygen species （ROS）. Cells were intervened with Qiangjing tablets-containing serum at low （2.5%）， medium （5%）， and high （10%） concentrations. The testosterone level in the cell supernatant was determined by enzyme-linked immunosorbent assay （ELISA）， and the protein levels of CDK4， E2F1， and E2F2 were analyzed by Western blot. In the animal experiment， 19-month-old naturally aging rats were used as the model group， and 2-month-old rats as the young control group. The positive control group was subcutaneously injected with 5.21 mg·kg^-1·d^-1 testosterone propionate. Qiangjing tablets were administered by gavage at low， medium， and high doses of 0.72， 1.44， 2.88 g·kg^-1·d^-1， respectively. The general conditions of rats were observed， and the protein levels of CDK4， E2F1， and E2F2 in the testicular tissue were determined by Western blot. ResultsIn the cell experiment， compared with the blank control group， the model group showed upregulated expression of CDK4 and E2F1 （P<0.05） and slightly downregulated expression of E2F2. Compared with that in the model group， the expression of CDK4 was upregulated in the NAC group and the low-dose Qiangjing tablets group （P<0.05）， slightly upregulated in the medium-dose Qiangjing tablets group， and downregulated in the high-dose Qiangjing tablets group （P<0.05）. The NAC group showed downregulated expression of E2F1 （P<0.05） and E2F2， and the low-， medium-， and high-dose Qiangjing tablets groups showed downregulated expression of both E2F1 and E2F2 （P<0.05）. Compared with that in the NAC group， the expression of CDK4 was upregulated in the low-dose Qiangjing tablets group and downregulated in the medium-dose and high dose （P<0.05） groups. The expression of E2F1 was down-regulated in all the three dose groups， with statistically significance in the high dose group （P<0.05）， and that of E2F2 were downregulated in all the three dose groups （P<0.05）. In the animal experiment， compared with the young control group， the model group exhibited downregulated expression of CDK4 （P<0.05） and slightly upregulated expression of E2F1 and E2F2. Compared with that in the model group， the expression of CDK4 decreased in the testosterone propionate group and the low-dose Qiangjing tablets group （P<0.05） but increased in the medium-dose （P<0.05） and high-dose groups. In addition， the expression of E2F1 decreased （P<0.05）， and that of E2F2 was slightly elevated. Compared with that in the NAC group， CDK4 expression was elevated in the Qiangjing tablets groups， with statistical significance in the medium- and high-dose groups （P<0.05）. Similarly， the E2F1 expression was also upregulated in the Qiangjing tablets groups， with statistical significance in the medium-dose group （P<0.05）. The expression of E2F2 was downregulated in all the Qiangjing tablets groups. ConclusionQiangjing tablets delay the aging process of Leydig cells and testicular tissue by up-regulating the expression of CDK4 and lowering the levels of E2F1 and E2F2.

ObjectiveBased on the multidimensional correlation analysis framework of "disease， syndrome， formula， and medicine"， this study aims to systematically elucidate the regulatory effects of effective components in Qiangjing tablet on testosterone synthesis pathways in testicular Leydig cells under oxidative stress， providing a theoretical basis for the treatment of male infertility with traditional Chinese medicine and modern research on compounds. MethodsDisease targets for male infertility were obtained from The Human Gene Database （GeneCards， score ≥20）， the Comparative Toxicogenomics Database （CTD， score ≥150）， DrugBank （score ≥0.2）， and DisGeNET （score ≥0.2）. Targets related to the syndrome of kidney deficiency and blood stasis were acquired from the traditional Chinese medicine syndrome association database SymMap. Components of Qiangjing tablet were retrieved based on The Encyclopedia of Traditional Chinese Medicine （ETCM） database and the Integrative Pharmacology-based Research Platform of Traditional Chinese Medicine （TCMIP）， and they were screened according to a quantitative estimate of drug-likeness （QED ≥ 0.49） and a target confidence index>0.8. Intersecting targets were taken to construct a protein-protein interaction （PPI） network using the STRING database. The network was visualized with Cytoscape software and subjected to the functional annotation of gene ontology （GO） and Kyoto encyclopedia of genes and genomes （KEGG） pathway enrichment analysis. Quality markers （Q-markers） were predicted via the ADMETlab 2.0 platform based on Lipinski's rule， Pfizer's rule， GSK's rule， and the Golden Triangle. For experimental validation， rats' testicular Leydig cells were used. Exosomes were extracted and loaded with active components via the ultrasonic method. Exosome concentration was determined using a BCA protein quantification kit. Morphology was observed using a transmission electron microscope. The particle size was analyzed with a particle size analyzer. The surface marker proteins such as cluster of differentiation 9 （CD9）， cluster of differentiation 63 （CD63）， and cluster of differentiation 81 （CD81） were identified by Western blot， and drug loading capacity was measured by high-performance liquid chromatography （HPLC）. An oxidative stress model was induced by alpha， alpha'-azodiisobutyramidine dihydrochloride （AAPH）， and Leydig cells were divided into the following groups： A control group， an AAPH group， a quercetin group （Que group）， an exosome group （Exo group）， and a QUE-loaded Exo group （Que-Exo group）. The cell viability was detected using the 3-（4，5-dimethylthiazol-2-yl）-2，5-diphenyltetrazolium bromide （MTT） thiazolyl blue assay. The reactive oxygen species （ROS） levels and mitochondrial membrane potential were measured by flow cytometry. The levels of oxidative indicators， including malondialdehyde （MDA）， superoxide dismutase （SOD）， glutathione peroxidase （GSH-Px）， catalase （CAT）， and testosterone （T）， were detected by enzyme-linked immunosorbent assay （ELISA）. The expressions of steroidogenic enzymes such as cytochrome p450 family 11 subfamily a member 1 （CYP11A1）， hydroxy-delta-5-steroid dehydrogenase， 3 beta- and steroid delta-isomerase 1 （HSD3B1）， and hydroxysteroid 17-beta dehydrogenase 3 （HSD17B3）， regulatory factors such as steroidogenic factor 1 （SF-1） and steroidogenic acute regulatory protein （StAR）， and miR-145-5p content， were detected by Western blot and real-time polymerse chain reaction （Real-time PCR）. ResultsNetwork pharmacology analysis reveals that the main active components of Qiangjing tablet for intervening in male infertility with kidney deficiency and blood stasis syndrome were Que， luteolin， etc.， with the core mechanism involving pathways such as steroid hormone biosynthesis. Experimental results show that compared with the control group， the AAPH group exhibits significantly reduced cell viability （P<0.01）， decreased mitochondrial membrane potential （P<0.01）， significantly elevated levels of ROS， MDA， and miR-145-5p （P<0.01）， significantly reduced activities of SOD， GSH-Px， and CAT， as well as reduced testosterone content （P<0.01）， and significantly downregulated protein and mRNA expressions of steroidogenic enzymes， SF-1， and StAR （P<0.01）. The above indicators were reversed in the Que and Que-Exo groups （P<0.05）. Compared with the Que group， the Que-Exo group showed more significant effects in enhancing cell viability， mitochondrial membrane potential， testosterone level， antioxidant enzyme activities， and expressions of key molecules in the steroidogenic pathway （P<0.05）. ConclusionThis study demonstrates that Que， an active component of Qiangjing tablet， inhibits oxidative stress reaction， improves mitochondrial function in Leydig cells， upregulates steroidogenic enzyme expression， and restores testosterone production. As a carrier for Que， Exo enhance its stability， delivery efficiency， and biological effect. Additionally， miR-145-5p may be closely associated with testosterone synthesis， though its precise molecular mechanism requires further exploration. By integrating traditional Chinese medicine compounds with modern scientific technology， this research expands the paths for the modernized research of traditional Chinese medicine and opens a novel therapeutic direction with translational potential for clinical intervention of male infertility.

Objective:This study aims to investigate the prevalence and distribution characteristics of mental disorders among people aged 18 and above in Shandong Province.Methods:In 2015, an epidemiological survey was carried out to investigate the patterns of mental disorders in 49 counties of Shandong Province. A total of 28 000 individuals aged 18 years or older were selected using the multistage stratified cluster sampling method. All these participants were classified as at a high or low risk of mental disorders according to the assessment results of the revised version of the General Health Questionnaire (GHQ). The diagnosis of mental disorders was confirmed using the Structured Clinical Interview for Diagnostic and Statistical Manual, Forth edition (DSM-Ⅳ) axis I or MMSE. All participants at high risk of mental disorders were evaluated using DSM-Ⅳ or MMSE to confirm the psychiatric diagnoses, while 10% of participants at low risk of mental disorders were randomly selected to be evaluated. The prevalence and its 95% confidence interval of mental disorders were adjusted according to study design and sociodemographic characteristics of the sample. The between-group differences of prevalence were compared using chi-square tests or Fisher′s exact tests as appropriately.Results:A total of 27 489 individuals completed survey. The adjusted prevalence of any mental disorder was 17.46% (95 %CI 17.02%-17.89%). The five most prevalent mental disorder spectrums were substance use disorders (5.29%), mood disorders (4.47%), anxiety disorders (4.46%), intellectual and mental disorders due to physical or substance (1.91%), and psychotic disorders (1.12%). The most common mental disorders were alcohol use disorder (5.27%) and major depressive disorder (2.14%). The prevalence of mental disorders in men was higher than that in women (23.37% vs. 13.89%; χ 2=408.91, P<0.01). There was no significant difference in the prevalence of mental disorders between rural residents and urban residents (17.69% vs. 17.20%; χ2=1.05, P=0.305). Of participants with mental disorders, 26.12% (1 047/4 008) had moderate to severe functional impairment and 10.98% (428/3 898) have sought professional help. Conclusion:The prevalence of mental disorders among people aged 18 and above in Shandong Province is basically consistent with the results of similar domestic studies. The prevalence of mental disorder was higher in men than in women and was not differ in participants living in urban and rural areas. Alcohol use disorder, major depressive disorder, non-specific anxiety disorder and non-specific depressive disorder are most common mental disorders.

Objective:This study aims to investigate the prevalence and distribution characteristics of mental disorders among people aged 18 and above in Shandong Province.Methods:In 2015, an epidemiological survey was carried out to investigate the patterns of mental disorders in 49 counties of Shandong Province. A total of 28 000 individuals aged 18 years or older were selected using the multistage stratified cluster sampling method. All these participants were classified as at a high or low risk of mental disorders according to the assessment results of the revised version of the General Health Questionnaire (GHQ). The diagnosis of mental disorders was confirmed using the Structured Clinical Interview for Diagnostic and Statistical Manual, Forth edition (DSM-Ⅳ) axis I or MMSE. All participants at high risk of mental disorders were evaluated using DSM-Ⅳ or MMSE to confirm the psychiatric diagnoses, while 10% of participants at low risk of mental disorders were randomly selected to be evaluated. The prevalence and its 95% confidence interval of mental disorders were adjusted according to study design and sociodemographic characteristics of the sample. The between-group differences of prevalence were compared using chi-square tests or Fisher′s exact tests as appropriately.Results:A total of 27 489 individuals completed survey. The adjusted prevalence of any mental disorder was 17.46% (95 %CI 17.02%-17.89%). The five most prevalent mental disorder spectrums were substance use disorders (5.29%), mood disorders (4.47%), anxiety disorders (4.46%), intellectual and mental disorders due to physical or substance (1.91%), and psychotic disorders (1.12%). The most common mental disorders were alcohol use disorder (5.27%) and major depressive disorder (2.14%). The prevalence of mental disorders in men was higher than that in women (23.37% vs. 13.89%; χ 2=408.91, P<0.01). There was no significant difference in the prevalence of mental disorders between rural residents and urban residents (17.69% vs. 17.20%; χ2=1.05, P=0.305). Of participants with mental disorders, 26.12% (1 047/4 008) had moderate to severe functional impairment and 10.98% (428/3 898) have sought professional help. Conclusion:The prevalence of mental disorders among people aged 18 and above in Shandong Province is basically consistent with the results of similar domestic studies. The prevalence of mental disorder was higher in men than in women and was not differ in participants living in urban and rural areas. Alcohol use disorder, major depressive disorder, non-specific anxiety disorder and non-specific depressive disorder are most common mental disorders.