Childhood maltreatment and psychopathy in Chinese juvenile offenders: person-centered perspective.

BACKGROUND: Childhood maltreatment stands as a salient risk factor in the etiology of juvenile delinquency, with a profound impact on the behavioral trajectories of young offenders. However, there is limited research on latent profile analysis to explore distinctive patterns of childhood maltreatment in Chinese juvenile offenders. Consequently, there is a lack of understanding regarding the associations between maltreatment profiles and relevant variables in this context. The present study aimed to explore meaningful subgroups of childhood maltreatment in juvenile offenders, and we further examined the associations between subgroups and multiple outcomes especially psychopathy. METHODS: The data was obtained from a sample of Chinese juvenile offenders (N = 625, M age = 17.22, SD = 1.23). This study employed a latent profile analysis (LPA) based on factor scores of the Childhood Trauma Questionnaire-Short Form to identify the subgroups and examined the differences across subgroups using outcomes variables including psychopathy, callous-unemotional traits, aggression and anxiety. This study includes three self-report measures to evaluate psychopathy, with due regard for the nuanced considerations on the factor structure inherent in the conceptualization of psychopathy. RESULTS: Two subgroups were identified, including the non-maltreatment subgroup (80.2%) and the maltreatment subgroup (19.8%). Maltreatment subgroup was characterized by a greater level of all types of maltreatment with particularly higher of emotion neglect. Besides, we found that maltreatment subgroup showed a significantly higher level of psychopathy across multiple self-report measures, and greater callous-unemotional traits, lack of empathy, aggression and anxiety. We found two subgroups of child maltreatment in Chinese juvenile offenders. CONCLUSIONS: These findings may provide a further understanding of childhood maltreatment and the clinical intervention on psychopathy in the early period.

A Strategy based on Bioinformatics and Machine Learning Algorithms Reveals Potential Mechanisms of Shelian Capsule against Hepatocellular Carcinoma.

BACKGROUND: Hepatocellular carcinoma (HCC) is a prevalent and life-threatening form of cancer, with Shelian Capsule (SLC), a traditional Chinese medicine (TCM) formulation, being recommended for clinical treatment. However, the mechanisms underlying its efficacy remain elusive. This study sought to uncover the potential mechanisms of SLC in HCC treatment using bioinformatics methods. METHODS: Bioactive components of SLC were obtained from the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP), and HCC-related microarray chip data were sourced from the Gene Expression Omnibus (GEO) database. The selection criteria for components included OB ≧ 30% and DL ≧ 0.18. By integrating the results of differential expression analysis and weighted gene co-expression network analysis (WGCNA), disease-related genes were identified. Therapeutic targets were determined as shared items between candidate targets and disease genes. Protein-protein interaction (PPI) network analysis was conducted for concatenated genes, with core protein clusters identified using the MCODE plugin. Machine learning algorithms were applied to identify signature genes within therapeutic targets. Subsequently, immune cell infiltration analysis, single-cell RNA sequencing (sc-RNA seq) analysis, molecular docking, and ADME analysis were performed for the screened genes. RESULTS: A total of 153 SLC ingredients and 170 candidate targets were identified, along with 494 HCCrelated disease genes. Overlapping items between disease genes and drug candidates represented therapeutic genes, and PPI network analysis was conducted using concatenated genes. MCODE1 and MCODE2 cluster genes underwent Disease Ontology (DO), Gene Ontology (GO), and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses. Four signature genes (TOP2A, CYP1A2, CYP2B6, and IGFBP3) were identified from 28 therapeutic genes using 3 machine learning algorithms, with ROC curves plotted. Molecular docking validated the interaction modes and binding abilities between signature genes and corresponding compounds, with free binding energy all <-7 kcal/mol. Finally, ADME analysis revealed similarities between certain SLC components and the clinical drugs Sorafenib and Lenvatinib. CONCLUSION: In summary, our study revealed that the mechanism underlying the anti-HCC effects of SLC involves interactions at three levels: components (quercetin, beta-sitosterol, kaempferol, baicalein, stigmasterol, and luteolin), pathways (PI3K-Akt signaling pathway, TNF signaling pathway, and IL-17 signaling pathway), and targets (TOP2A, CYP1A2, CYP2B6, and IGFBP3). This study provides preliminary insights into the potential pharmacological mechanisms of SLC in HCC treatment, aiming to support its clinical application and serve as a reference for future laboratory investigations.

Combining single-cell RNA sequencing data and transcriptomic data to unravel potential mechanisms and signature genes of the progression of idiopathic pulmonary fibrosis to lung adenocarcinoma and predict therapeutic agents.

Patients with idiopathic pulmonary fibrosis (IPF) have a significantly higher prevalence of lung adenocarcinoma (LUAD) than normal subjects, although the underlying association is unclear. The raw data involved were obtained from the Gene Expression Omnibus (GEO) database. Differential expression analysis and weighted gene co-expression network analysis were used to screen for differentially expressed genes (DEGs) and modular signature genes (MSGs). Genes intersecting DEGs and MSGs were considered hub genes for IPF and LUAD. Machine learning algorithms were applied to capture epithelial cell-derived signature genes (EDSGs) shared. External cohort data were exploited to validate the robustness of EDSGs. Immunohistochemical staining and K-M plots were used to denote the prognostic value of EDSGs in LUAD. Based on EDSGs, we constructed a TF-gene-miRNA regulatory network. Molecular docking can validate the strength of action between candidate drugs and EDSGs. Epithelial cells, 650 DEGs, and 1773 MSGs were shared by IPF and LUAD. As for 379 hub genes, we performed pathway and functional enrichment analysis. By analyzing sc-RNA seq data, we identified 1234 marker genes of IPF epithelial cell-derived and 1481 of LUAD. And these genes shared 8 items with 379 hub genes. Through the machine learning algorithms, we further fished TRIM2, S100A14, CYP4B1, LMO7, and SFN. The ROC curves emphasized the significance of EDSGs in predicting the onset of LUAD and IPF. The TF-gene-miRNA network revealed regulatory relationships behind EDSGs. Finally, we predicted appropriate therapeutic agents. Our study preliminarily identified potential mechanisms between IPF and LUAD, which will inform subsequent studies.

Deciphering the underlying mechanisms of Sanleng-Ezhu for the treatment of idiopathic pulmonary fibrosis based on network pharmacology and single-cell RNA sequencing data.

AIMS: To decipher the underlying mechanisms of Sanleng-Ezhu for the treatment of idiopathic pulmonary fibrosis based on network pharmacology and single-cell RNA sequencing data. BACKGROUND: Idiopathic pulmonary fibrosis (IPF) is the most common type of interstitial lung disease. Although the combination of herbs Sanleng (SL) and Ezhu (EZ) has shown reliable efficacy in the management of IPF, its underlying mechanisms remain unknown. OBJECTIVE: To decipher the pathogenesis of IPF and achieve personalized clinical management of IPF patients Method: Based on LC-MS/MS analysis and the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP) database, we identified the bioactive components of SL-EZ. After obtaining the IPF-related dataset GSE53845 from the Gene Expression Omnibus (GEO) database, we performed the differential expression analysis and the weighted gene co-expression network analysis (WGCNA), respectively. We obtained lowly and highly expressed IPF subtype gene sets by comparing differentially expressed genes (DEGs) with the most significantly negatively and positively related IPF modules in WGCNA. Subsequently, we performed Gene Ontology (GO), and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses on IPF subtype gene sets. The low- and high-expression MCODE subgroup feature genes were identified by the MCODE plug-in and were adopted for Disease Ontology (DO), GO, and KEGG enrichment analyses. Next, we performed the immune cell infiltration analysis of the MCODE subgroup feature genes. Single-cell RNA sequencing analysis demonstrated the cell types which expressed different MCODE subgroup feature genes. Molecular docking and animal experiments validated the effectiveness of SL-EZ in delaying the progression of pulmonary fibrosis. RESULT: We obtained 5 bioactive components of SL-EZ as well as their corresponding 66 candidate targets. After normalizing the samples of the GSE53845 dataset from the GEO database source, we obtained 1907 DEGs of IPF. Next, we performed a WGCNA analysis on the dataset and got 11 modules. Notably, we obtained 2 IPF subgroups by contrasting the most significantly up- and down-regulated modular genes in IPF with DEGs, respectively. The different IPF subgroups were compared with drug-candidate targets to obtain direct targets of action. After constructing the protein interaction networks between IPF subgroup genes and drug candidate targets, we applied the MCODE plug-in to filter the highest-scoring MCODE components. DO, GO, and KEGG enrichment analyses were applied to drug targets, IPF subgroup genes, and MCODE component signature genes. In addition, we downloaded the single-cell dataset GSE157376 from the GEO database. By performing quality control and dimensionality reduction, we clustered the scattered primary sample cells into 11 clusters and annotated them into 2 cell subtypes. Drug sensitivity analysis suggested that SL-EZ acts on different cell subtypes in IPF subgroups. Molecular docking revealed the mode of interaction between targets and their corresponding components. Animal experiments confirmed the efficacy of SL-EZ. CONCLUSION: We found SL-EZ acted on epithelial cells mainly through the calcium signaling pathway in the lowly-expressed IPF subtype, while in the highly-expressed IPF subtype, SL-EZ acted on smooth muscle cells mainly through the viral infection, apoptosis, and p53 signaling pathway.

Research advances on the restorative effect of Periplaneta americana extracts on mucosa.

In addition to the pharmacological effects of Periplaneta americana extracts (PAEs), including their antitumor, hepatic protection, antioxidant, antibacterial, anti-inflammatory, and tissue regeneration characteristics, their mucosal restorative effects have also attracted significant attention. The mucosa serves as a "gateway" into the body and its functions include the surveillance and clearance of bacteria and pathogens; it also has the immunological function of acquiring beneficial antigens from the external environment and removing non-beneficial ones, a mechanism controlled by the mucosal immune system. In the present study, the relevant modern research literature on the mucosal restorative effect of PAEs was reviewed via a summarization of its restorative effects on respiratory, digestive, dermal, and genitourinary mucosa. The aim of doing so was to present a comprehensive understanding of the mucosal restorative effect of PAEs and their related mechanisms and to provide a reference for their further development and clinical application.

Overexpression of lncRNA-MEG3 inhibits endometrial cell proliferation and invasion via miR-21-5p/DNMT3B/Twist.

Recent studies have found that lncRNA-MEG3(MEG3) plays an important role in the development of EMs (Endometriosis), but the specific mechanism needs to be further explored. This study aimed to investigate the effect of MEG3 on the proliferation, invasion of EMs cells. The authors used RT-qPCR to detect the expression of MEG3 and miR-21-5p in EMs tissues and hESCs cells, MTT and Transwell to detect cell proliferation and invasion, western blotting assay to detect the expression of DNMT3B and Twist, MSP to detect the methylation of Twist. The present study's detection results showed that MEG3 was lowly expressed in EMs tissues and hESCs cells, and overexpression of MEG3 could down-regulate miR-21-5p and inhibit endometrial cell proliferation and invasion. In addition, overexpression of MEG3 upregulated the expression of DNMT3B and promoted the methylation of TWIST. In conclusion, the present findings suggest that MEG3 is downregulated in EMs tissues, and overexpression of MEG3 can promote the activity of DNA methyltransferase DNMT3B by downregulating miR-21-5p, thereby promoting the methylation of Twist, downregulating Twist level to inhibits hESCs cells proliferation and invasion.

Overexpression of lncRNA-MEG3 inhibits endometrial cell proliferation and invasion via miR-21-5p/DNMT3B/Twist

Abstract Recent studies have found that lncRNA-MEG3(MEG3) plays an important role in the development of EMs (Endometriosis), but the specific mechanism needs to be further explored. This study aimed to investigate the effect of MEG3 on the proliferation, invasion of EMs cells. The authors used RT-qPCR to detect the expression of MEG3 and miR-21-5p in EMs tissues and hESCs cells, MTT and Transwell to detect cell proliferation and invasion, western blotting assay to detect the expression of DNMT3B and Twist, MSP to detect the methylation of Twist. The present study's detection results showed that MEG3 was lowly expressed in EMs tissues and hESCs cells, and overexpression of MEG3 could down-regulate miR-21-5p and inhibit endometrial cell proliferation and invasion. In addition, overexpression of MEG3 upregulated the expression of DNMT3B and promoted the methylation of TWIST. In conclusion, the present findings suggest that MEG3 is downregulated in EMs tissues, and overexpression of MEG3 can promote the activity of DNA methyltransferase DNMT3B by downregulating miR-21-5p, thereby promoting the methylation of Twist, downregulating Twist level to inhibits hESCs cells proliferation and invasion.

Overexpression of NCAPG in ovarian cancer is associated with ovarian cancer proliferation and apoptosis via p38 MAPK signaling pathway.

BACKGROUND: Non-SMC condensin I complex subunit G (NCAPG), a member of the subunit of condensin complex, is significantly overexpressed in various cancers and involved in the pathogenesis of cancers. However, the roles of NCAPG in ovarian cancer remain unclear. METHODS: The mRNA expression, overall survival, and disease-free survival of NCAPG in ovarian cancer were analyzed by GEPIA and KM plotter database, and the expression levels of NCAPG in OC tissues and cell lines were determined by qPCR and immunohistochemistry analysis. shRNA targeting NCAPG gene (sh-NCAPG) was utilized to knock down NCAPG expression in OVCAR3 and SKOV3 cells. Subsequently, CCK-8 assay, colony formation assay, transwell invasion assay and flow cytometric analysis were performed to detect the effect of NCAPG on OC cell proliferation, apoptosis, and invasion. Finally, western blot assays were performed to detect the mechanism of NCAPG in ovarian cancer. RESULTS: Analysis using GEPIA and KM plotter database showed NCAPG was upregulated in ovarian cancer and negatively associated with the survival of OC patients. qPCR and immunohistochemistry analysis confirmed it was highly expressed in both ovarian cancer tissues and cells. The silencing of NCAPG inhibited OC cell proliferation and invasion, and induced cell apoptosis. Additionally, flow cytometric analysis revealed that NCAPG knockdown arrested the cell cycle at G2 and S phases. Furthermore, we also found that downregulation of NCAPG could suppress OC cell proliferation and invasion via activating the p38 MAPK signaling pathway. CONCLUSION: Our results suggest that NCAPG exhibits an important role in the development and progression of ovarian cancer and implicates NCAPG as a potential therapeutic target in ovarian cancer.

Coexistence of genital tuberculosis and ovarian serous cystadenofibroma in a young female patient: a case report.

Most cases of female genital tuberculosis (TB) are asymptomatic and are thus difficult to diagnose. Coexistence of genital TB and ovarian serous cystadenofibroma (OSCAF) is rare and easily ignored or misdiagnosed. We report a 26-year-old woman with coexistence of genital TB and OSCAF, and with an adnexal mass detected by B-ultrasound. Laparoscopic biopsy of diffuse miliary white nodules was performed on the surface of the peritoneum and both fallopian tubes. Right ovarian cystectomy was performed. Postoperative pathology showed that the right ovarian mass was a benign serous cystadenofibroma, and both fallopian tubes and miliary white nodules on the surface of pelvic organs showed chronic granulomatous inflammation. Polymerase chain reaction for Mycobacterium tuberculosis and acid-fast bacilli culture were positive in biopsies of the fallopian tubes, omentum, and peritoneum. The patient received anti-TB treatment after surgery. Six months after the operation, the patient had no abdominal pain and no major changes in menstruation. Our findings suggest that a timely operation is required for patients with an adnexal mass. During surgery, even if the lesion is similar to a malignant tumor, the surgical approach needs to be cautiously chosen for young patients without children. The patient's postoperative fertility must be taken into consideration.

Effectiveness and safety of tacrolimus therapy for myasthenia gravis: A single arm meta-analysis.

To evaluate the effectiveness and safety of tacrolimus in myasthenia gravis (MG) patients, a systematic review and meta-analysis was performed. Researches published between January 1, 2000 and December 31, 2017 in English language were searched in Medline, Embase, Cochrane Central Register of Controlled Trials (CENTRAL) and clinicaltrials.gov databases. We extracted the outcome measures regarding the dose of glucocorticoids (GC), Myasthenia Gravis Foundation of America (MGFA) quantitative myasthenia gravis score (QMGS), MG activities of daily living (MG-ADL) and serum anti-acetylcholine receptor (AChR) antibody titer in each included study. Among 25 studies involving 633 patients, we observed a mean reduction in GC dose by 1.21 (95% CI, 0.44-1.98), QMGS by 2.02 (95% CI, 0.86-3.18), MG-ADL by 1.21 (95% CI, 0.81-1.62) and serum anti-AChR antibody titer by 0.61 (95% CI, 0.43-0.80), which all reached a statistical significance (p < 0.01). Interestingly, a significant correlation was acquired between the disease duration and the reduction of QMGS (p = 0.033; 95% CI, -0.64 to -0.033). Adverse events (AEs) were recorded in 258 of 633 patients (40.8%) with tacrolimus therapy while most were mild. Our meta-analysis demonstrates that tacrolimus may be a beneficial drug option to treat MG.

Medication regularity of pulmonary fibrosis treatment by contemporary traditional Chinese medicine experts based on data mining.

BACKGROUND: Treatment of pulmonary fibrosis by traditional Chinese medicine (TCM) has accumulated important experience. Our interest is in exploring the medication regularity of contemporary Chinese medical specialists treating pulmonary fibrosis. METHODS: Through literature search, medical records from TCM experts who treat pulmonary fibrosis, which were published in Chinese and English medical journals, were selected for this study. As the object of study, a database was established after analysing the records. After data cleaning, the rules of medicine in the treatment of pulmonary fibrosis in medical records of TCM were explored by using data mining technologies such as frequency analysis, association rule analysis, and link analysis. RESULTS: A total of 124 medical records from 60 doctors were selected in this study; 263 types of medicinals were used a total of 5,455 times; the herbs that were used more than 30 times can be grouped into 53 species and were used a total of 3,681 times. Using main medicinals cluster analysis, medicinals were divided into qi-tonifying, yin-tonifying, blood-activating, phlegm-resolving, cough-suppressing, panting-calming, and ten other major medicinal categories. According to the set conditions, a total of 62 drug compatibility rules have been obtained, involving mainly qi-tonifying, yin-tonifying, blood-activating, phlegm-resolving, qi-descending, and panting-calming medicinals, as well as other medicinals used in combination. CONCLUSIONS: The results of data mining are consistent with clinical practice and it is feasible to explore the medical rules applicable to the treatment of pulmonary fibrosis in medical records of TCM by data mining.

Sanguinarine inhibits epithelial ovarian cancer development via regulating long non-coding RNA CASC2-EIF4A3 axis and/or inhibiting NF-κB signaling or PI3K/AKT/mTOR pathway.

OBJECTIVE: This study aimed to investigate the antitumor effects and possible regulatory mechanisms of sanguinarine in epithelial ovarian cancer. MATERIAL AND METHODS: The effects of sanguinarine on the malignant behaviors of epithelial ovarian cancer SKOV3 cells and the expression of long non-coding RNA CASC2 were investigated. The expression of CASC2 and EIF4A3 in epithelial ovarian cancer tissues and cells were detected, and the potential mechanisms of sanguinarine were explored by investigating the interactions between CASC2 and EIF4A3. Furthermore, the regulatory relationship between sanguinarine and nuclear factor-κB (NF-κB) signaling or PI3K/AKT/mTOR pathway was explored. RESULTS: Sanguinarine exhibited antitumor effects in SKOV3 cells by significantly inhibiting cell viability, migration and invasion and promoting cell apoptosis. Moreover, sanguinarine induced CASC2 expression and silencing of CASC2 reversed the effects of sanguinarine in epithelial ovarian cancer cells. CASC2 was significantly lowly expressed in ovarian cancer tissues and cells, while EIF4A3 was highly expressed. EIF4A3 was identified as a CASC2 binding protein. Knockdown of EIF4A3 reversed the effects of sanguinarine plus CASC2 silencing. Besides, sanguinarine markedly inhibited the activation of NF-κB signaling or PI3K/AKT/mTOR pathway, which was reversed by CASC2 silencing. And the effects of sanguinarine plus CASC2 silencing on the activation of these pathways were further reversed after knockdown of EIF4A3 at the same time. CONCLUSIONS: Our findings reveal that sanguinarine exhibits antitumor effects in epithelial ovarian cancer cells possible via regulating CASC2-EIF4A3 axis and/or inhibiting NF-κB signaling or PI3K/AKT/mTOR pathway. Sanguinarine may serve as a potential therapeutic reagent for epithelial ovarian cancer.

Efficacy and safety of tacrolimus for myasthenia gravis: a systematic review and meta-analysis.

To evaluate the efficacy and safety of tacrolimus in patients with myasthenia gravis (MG), a systematic review and meta-analysis was performed. We searched PubMed and Embase for randomized controlled trials and clinical controlled trials in English language. Demographic and clinical characteristics of the MG patients were extracted. Differences in the current glucocorticoids (GC) dose in each included study were the primary outcome measure. The adverse events reported in each included study were used as safety evaluation. There were 5 trials included involving 683 patients. In this systematic review, we identified treatment with tacrolimus did not exhibit a statistically significant difference in the GC dose reduction at 6 months and 12 months compared with placebo. The standard mean differences in the GC dose reduction were -1.95 [(-4.20 to 0.30); p = 0.09] at 6 months and -1.72 [(-4.21 to 0.77); p = 0.18] at 12 months. But GC dose reduction from baseline in the tacrolimus group exceeded that in the controlled group. The weighted mean differences were -1.34 [(-2.46 to 0.23); p = 0.02] in the quantitative myasthenia gravis score and -1.10 [(-1.84 to -0.36); p = 0.004] in the myasthenia gravis activities of daily living score at 6 months. Adverse events were recorded in 80 of 347 patients (23%) treated with tacrolimus and most of them were mild. This meta-analysis proves that tacrolimus therapy is beneficial to improve clinical symptoms in MG patients. Tacrolimus may be a worthy therapy to relieve MG symptoms.