The prevalence of adolescent depressive symptoms has been rising, and maternal depression is a key predictor. This review synthesizes evidence on mechanisms of influence and on intervention research. The intergenerational transmission of risk from maternal depression appears more pronounced than that associated with paternal depression. At the biological level, genetic susceptibility and neurodevelopmental alterations underpin intergenerational transmission; at the social level, negative parenting practices and stressful family environments create a vicious cycle; at the psychological level, deficits in emotion regulation and insecure attachment amplify vulnerability to depression. Family-based interventions, including cognitive-behavioral therapy and family systems therapy, can mitigate intergenerational transmission. However, more longitudinal research is needed, and future work may integrate digital technologies to develop structured intervention protocols.
Humans ; Female ; Adolescent ; Depression/psychology* ; Family Therapy ; Mothers/psychology*

OBJECTIVES: To investigate the association between maternal depressive symptoms and adolescent suicidal ideation, and to examine the chain mediating roles of childhood trauma and ineffectiveness. METHODS: A cross-sectional online survey was administered by school psychologists to 4 157 mother-adolescent pairs from middle schools in Shanghai and Henan, China. Measures included the Center for Epidemiological Studies Depression Scale, the Childhood Trauma Questionnaire, and the Children's Depression Inventory. Using Bootstrap method to examine the chain mediating effect of childhood trauma and ineffectiveness on the relationship between maternal depression symptoms and adolescent suicidal ideation. RESULTS: The prevalence of maternal depressive symptoms was 17.68% (735/4 157); among adolescents, the prevalence of depressive symptoms was 15.49% (644/4 157), and suicidal ideation was 28.19% (1 172/4 157). Adolescent depressive symptoms and suicidal ideation were positively correlated with maternal depressive symptoms, childhood trauma, and ineffectiveness (all P<0.01). Childhood trauma significantly mediated the association between maternal and adolescent depressive symptoms (95%CI: 0.046 9-0.077 2). The chain mediation of childhood trauma and ineffectiveness in the association between maternal depressive symptoms and adolescent suicidal ideation was also significant (95%CI: 0.000 7-0.001 3). CONCLUSIONS Higher maternal depressive symptom levels are associated with a greater likelihood of adolescents' exposure to childhood trauma, which increases adolescents' ineffectiveness and, in turn, is associated with suicidal ideation. This chain effect has important implications for social interventions targeting adolescent depression.
Humans ; Suicidal Ideation ; Adolescent ; Female ; Depression/etiology* ; Cross-Sectional Studies ; Mothers/psychology* ; Male ; Child ; Adult

GNPS-based mass spectrum-molecular networks is an effective strategy for rapidly identifying known natural products and discovering novel structures. The chemical diversity of azaphilones from the fermentation extracts of Talaromyces sp. HK1-18 was studied by molecular network technique. Three linear tricyclic azaphilones, sequoiamonacins A-C (2a, 2b, 1), were isolated by silica gel column chromatography and high performance liquid chromatography from the extracts of the fungal strain of HK1-18, and their structures were identified by nuclear magnetic resonance and high-resolution mass spectrometry. Guided by the mass spectra of sequoiamonacins A-C (2a, 2b, 1), the cluster of sequoiamonacinoid analogues was discovered from the full molecular networking of HK1-18. By analyzing the MS/MS fragments of each parent ion in this cluster, 7 azaphilones (3-9) included 6 new ones (4-9) were predicted successfully. Then the MS/MS cracking regularity of this type of azaphilones was revealed. Compound 1 showed anti-inflammatory activity, which can inhibit the production of interleukin-1α (IL-1α) in lipopolysaccharide (LPS)-induced mouse macrophage RAW264.7, with an inhibitory rate of 29% at the concentration of 12.5 μg·mL^-1.

A 11-year old female patient with severe thalassemia, receipt a lentivirus-based cell and gene therapy (CGT) therapy in Shenzhen Children′s Hosptial on July 27th, 2021. At the two follow-up visits after discharge, patient were continuously tested positive for HIV screening through HIV Ag/Ab Combo assay (chemiluminescence Immunoassay), and the viral load results of HIV-1 nucleic acid testing (NAT) were both>5 000 copies/ml. The patient can be diagnosed with HIV infection according to the National Guideline for Detection of HIV/AIDS(2020 Revised Edition). The thorough investigation findings and supplementary experiment results indicated that the false-positive HIV-1 NAT results was caused by cross-reactivity between the target sites detected by conventional HIV-1 NAT reagents and the lentiviral vectors fragments integrated into the genome of patient′s hematopoietic stem/progenitor cells. In conclusion, it is important for laboratories to select appropriate HIV-1 NAT testing platforms which won′t cause cross-reactivity for the testing of samples from patients who have been treated with HIV-derived vectors. It is also recommended to design and develop NAT testing platforms with multiple target regions labeled by different fluorescents for HIV NAT supplementation experiment to reduce the risk of false-positive diagnoses of HIV infection.

Cerebrocardiac syndrome refers to secondary cardiac damage caused by various craniocere-bral injury lesions,which can exacerbate existing heart disease.In the practice of forensic pathology,cerebral-cardiac interaction is often ignored in cases of death with a short time after craniocerebral in-jury,especially those with underlying heart disease.This article reviews the pathogenesis of cerebrocar-diac syndrome by summarizing recent research results of cerebrocardiac syndrome at home and abroad and discusses its significance in the field of forensic medicine.The aim is to provide assistance for fo-rensic medicine practice of cerebrocardiac syndrome.

Background::Pulmonary embolism (PE) is a severe and acute cardiovascular syndrome with high mortality among patients with autoimmune inflammatory rheumatic diseases (AIIRDs). Accurate prediction and timely intervention play a pivotal role in enhancing survival rates. However, there is a notable scarcity of practical early prediction and risk assessment systems of PE in patients with AIIRD.Methods::In the training cohort, 60 AIIRD with PE cases and 180 age-, gender-, and disease-matched AIIRD non-PE cases were identified from 7254 AIIRD cases in Tongji Hospital from 2014 to 2022. Univariable logistic regression (LR) and least absolute shrinkage and selection operator (LASSO) were used to select the clinical features for further training with machine learning (ML) methods, including random forest (RF), support vector machines (SVM), neural network (NN), logistic regression (LR), gradient boosted decision tree (GBDT), classification and regression trees (CART), and C5.0 models. The performances of these models were subsequently validated using a multicenter validation cohort.Results::In the training cohort, 24 and 13 clinical features were selected by univariable LR and LASSO strategies, respectively. The five ML models (RF, SVM, NN, LR, and GBDT) showed promising performances, with an area under the receiver operating characteristic (ROC) curve (AUC) of 0.962-1.000 in the training cohort and 0.969-0.999 in the validation cohort. CART and C5.0 models achieved AUCs of 0.850 and 0.932, respectively, in the training cohort. Using D-dimer as a pre-screening index, the refined C5.0 model achieved an AUC exceeding 0.948 in the training cohort and an AUC above 0.925 in the validation cohort. These results markedly outperformed the use of D-dimer levels alone.Conclusion::ML-based models are proven to be precise for predicting the onset of PE in patients with AIIRD exhibiting clinical suspicion of PE.Trial Registration::Chictr.org.cn: ChiCTR2200059599.

Objective To analyze the factors affecting the prognosis of patients with knee osteoarthritis,and to construct a nomogram prediction model in conjunction with multi-dimensional clinical indicators.Methods The clinical data of 234 pa-tients with knee osteoarthritis who were treated in our hospital from January 2015 to June 2021 were retrospectively analyzed,including 126 males and 108 females;age more than 60 years old for 135 cases,age less than 60 years old for 99 cases.Lysholm knee function score was used to evaluate the prognosis of the patients,and the patients were divided into good progno-sis group for 155 patients and poor prognosis group for 79 patients according to the prognosis.The clinical data of the subjects in the experimental cohort were analyzed by single factor and multiple factors.The patients were divided into experimental co-hort and verification cohort,the results of the multiple factor analysis were visualized to obtain a nomogram prediction model,the receiver operating characteristic curve(ROC),calibration curve and decision curve were used to evaluate the model's dis-crimination,accuracy and clinical benefit rate.Results The results of multivariate analysis showed that smoking,pre-treatment K-L grades of Ⅲto Ⅳ,and high levels of interleukin 6(IL-6)and matrix metallo proteinase-3(MMP-3)were risk factors for the prognosis of patients with knee osteoarthritis.ROC test results showed that the area under the curve of the nomogram model in the experimental cohort and validation cohort was 0.806[95％CI(0.742,0.866)]and 0.786[(95％CI(0.678,0.893)],re-spectively.The results of the calibration curve showed that the Brier values of the experimental cohort and verification cohort were 0.151 points and 0.134 points,respectively.When the threshold probability value in the decision curve was set to 31％,the clinical benefit rates of the experimental cohort and validation cohort were 51％and 56％,respectively.Conclusion The prognostic model of patients with knee osteoarthritis constructed based on multi-dimensional clinical data has both theoretical and practical significance,and can provide a reference for taking targeted measures to improve the prognosis of patients.

Objective:To investigate the early diagnostic value of human olfactomedin 4 (OLFM-4), signal peptide-CUB-epidermal growth factor-like domain-containing protein 1 (SCUBE-1), and liver-type fatty acid binding protein (L-FABP) in severe pneumonia complicated with acute kidney injury (AKI).Methods:A total of 162 patients with severe pneumonia admitted to the Haikou Third People′s Hospital from January 2020 to May 2023 were prospectively selected and divided into an AKI group (54 cases) and a non AKI group (108 cases) based on whether they developed AKI. Among AKI patients, there were 23 cases of AKI stage 1, 18 cases of AKI stage 2, and 13 cases of AKI stage 3. Enzyme linked immunosorbent assay was used to measure the changes in urinary OLFM-4, SCUBE-1, and L-FABP levels of patients at 12, 24, and 48 h after admission to the intensive care unit (ICU). The receiver operating characteristic (ROC) curve was applied to analyze the early diagnostic value of urinary OLFM4, SCUBE-1, and LFABP levels at different time points for AKI in patients with severe pneumonia.Results:There were statistically significant differences in ICU admission time, serum creatinine, urea nitrogen, uric acid, serum albumin, C-reactive protein, procalcitonin, Sequential Organ Failure Assessment (SOFA) score, and Acute Physiology and Chronic Health Evaluation Ⅱ (APACHE Ⅱ) score between the AKI group and the non AKI group (all P<0.05). At 12, 24, and 48 h after admission to the ICU, the urinary OLFM-4, SCUBE-1, and L-FABP levels in the AKI group were significantly higher than those in the non AKI group, and the differences were statistically significant (all P<0.001). The levels of urinary OLFM-4, SCUBE-1, and L-FABP in AKI stage 3 patients were significantly higher than those in AKI stage 1 and AKI stage 2 at all time points after admission to the ICU (all P<0.001), and the highest levels of urinary OLFM-4, SCUBE-1, and L-FABP were observed at the 24 h time point. The combination of 24 h urine OLFM-4 and SCUBE-1 with L-FABP had the highest area under the curve (AUC) for diagnosing severe pneumonia complicated with AKI (AUC=0.964, 95% CI: 0.908-0.997), with a sensitivity of 98.2% and specificity of 88.3%. Pearson correlation analysis showed that urinary OLFM-4 and SCUBE-1 levels in AKI patients were positively correlated with L-FABP ( r=0.870, 0.775, all P<0.001). Conclusions:Urine OLFM-4, SCUBE-1, and L-FABP are significantly elevated in the early stage of severe pneumonia complicated with AKI. The combined detection of these three parameters at 24 h has high value for the early diagnosis of AKI.

As artificial intelligence technology rapidly advances, its deployment within the medical sector presents substantial ethical challenges. Consequently, it becomes crucial to create a standardized, transparent, and secure framework for processing medical data. This includes setting the ethical boundaries for medical artificial intelligence and safeguarding both patient rights and data integrity. This consensus governs every facet of medical data handling through artificial intelligence, encompassing data gathering, processing, storage, transmission, utilization, and sharing. Its purpose is to ensure the management of medical data adheres to ethical standards and legal requirements, while safeguarding patient privacy and data security. Concurrently, the principles of compliance with the law, patient privacy respect, patient interest protection, and safety and reliability are underscored. Key issues such as informed consent, data usage, intellectual property protection, conflict of interest, and benefit sharing are examined in depth. The enactment of this expert consensus is intended to foster the profound integration and sustainable advancement of artificial intelligence within the medical domain, while simultaneously ensuring that artificial intelligence adheres strictly to the relevant ethical norms and legal frameworks during the processing of medical data.
Artificial Intelligence/legislation & jurisprudence* ; Humans ; Consensus ; Computer Security/standards* ; Confidentiality/ethics* ; Informed Consent/ethics*

Objective : To investigate the mechanism of miRNAs in glycyrrhizic acid treatment of alcohol⁃induced liver injury in rats . Methods : 45 male SD rats were randomly divided into glycyrrhizin group , model group and control group . The rats in glycyrrhizin group were given 56% liquor and glycyrrhizin , the rats in model group were given 56% liquor , and the rats in control group were given distilled water for 8 weeks . The blood was collected and the serum was separated by centrifugation to detect the levels of aspartate aminotransferase (AST) and alanine aminotransferase (ALT) . RNA were extracted from liver tissues , miRNAs were detected by rat miRNA microarray , and their expression levels were analyzed . The miRNA target genes of differential miRNA were predicted . Gene Ontology (GO) and KEGG Pathway enrichment analysis were used to understand the function of differential miRNA , and the differential miRNA⁃mRNA⁃Pathway regulatory network was constructed using Cytoscape to further screen the regulatory key miRNA and key pathways . qRT⁃PCR was used to verify the expression of selected miRNA . Results : Compared with the model group , the glycyrrhizin group could significantly improve the liver tissue lesions , and reduce the liver serum AST and ALT levels (P < 0. 05) . Compared the microarray data of glycyrrhizin group and model group , a total of 13 differentially expressed miRNA were screened ( P < 0. 05 , fold change ≥ 1 . 5) , of which 10 were up⁃regulated and 3 were down⁃regulated . The GO classification annotation of differential miRNA target genes showed that differential miRNA were related to cell adhesion , antioxidant activity , metabolic process , biological process regulation , cell killing , immune system and other functions . The KEGG Pathway analyling pathway , Hippo signaling pathway , PI3K⁃Akt signaling pathway , wnt signaling pathway , apoptosis and other signaling pathways might play an important regulatory role in the improvement of alcoholic liver injury by glycyrrhic acid . Conclusion This study established the miRNA expression profile of glycyrrhizin in the treatment of alcoholic liver injury in rats , suggested that miR⁃615 , miR⁃107 ⁃3p and miR⁃292⁃5p might play an important role in the treatment of alcoholic liver injury by glycyrrhizin .