Objective: To explore the relationship between non suicidal self injury (NSSI) behavior and serum lipid levels as well as thyroid function among college students with depression. Methods: A total of 169 college students with depression in the psychiatry departments of tertiary hospitals (grade 3A and 3B) in Ningbo from December 2023 to April 2025 were selected. The Adolescent Self injury Scale (ASIS) was used to assess the presence of NSSI, and participants were accordingly divided into a NSSI group ( n =51) and a non NSSI group ( n =118). General demographic data (including gender, age, and family situation) were collected from both groups. Blood tests were performed to measure lipid profiles [triglyceride (TG), total cholesterol (TC), high density lipoprotein cholesterol (HDL-C), low density lipoprotein cholesterol (LDL-C)] and thyroid hormones [triiodothyronine (T3), thyroxine (T4), free triiodothyronine (FT3), free thyroxine (FT4), thyroid stimulating hormone (TSH)]. Multivariate Logistic regression was employed to analyze risk factors for NSSI, and receiver operating characteristic (ROC) curve analysis was used to evaluate the predictive value of serum lipid and thyroid hormone levels for NSSI occurrence in college students with depression. Results: The levels of TC, LDL-C, and TSH in the NSSI group were (4.02±0.73) mmol/L, (2.32±0.36) mmol/L, and (6.57±1.95) mU/L , which were significantly higher than those in the non NSSI group [(3.41±0.56) mmol/L, (2.00±0.27) mmol/L, and ( 4.48± 1.09) mU/L, respectively] ( t =5.32, 5.60, 7.20, all P <0.05). Logistic regression analysis revealed that college students from single parent/reconstituted families, those who had experienced school bullying, and those with higher levels of TC, LDL-C, and TSH had a significantly increased risk of engaging in NSSI ( OR =5.22, 6.12, 5.90, 83.64, 3.64, all P <0.05). ROC curve analysis demonstrated that the combined detection of TC, LDL-C, and TSH had high diagnostic efficacy for predicting NSSI in college students with depression, with a sensitivity of 86.3% and a specificity of 94.9%. Conclusions NSSI behavior in college students with depression is associated with serum lipid levels and thyroid function. These biomarkers may serve as useful reference indicators for assessing the conditions of these patients.

Objective To explore the longitudinal associations of body roundness index (BRI), visceral adiposity index (VAI), and metabolic score for visceral fat (METS-VF) with the risk of new-onset atrial fibrillation (AF). Methods This study included participants from the UK Biobank who were free of AF or pregnancy at baseline and completed the first and second assessments of BRI, VAI, and METS-VF. The changes in BRI, VAI, and METS-VF were classified using K-means clustering analyses, and the cumulative adiposity indices were also calculated. The primary outcome was new-onset AF. Three Cox regression models were employed to investigate the longitudinal associations of the BRI, VAI, and METS-VF changes with the risk of incident new-onset AF. The results were presented as hazard ratios (HRs) and the corresponding 95% confidence intervals (CIs). Restricted cubic spline analyses were performed to explore potential non-linear associations between baseline or cumulative adiposity indices and the risk of new-onset AF. C-index analyses were conducted to evaluate the predictive value of BRI, VAI, and METS-VF for new-onset AF. Subgroup analyses were performed according to age, gender, race, smoking status, alcohol consumption, and physical activity. Polygenic risk scores were applied to account for genetic susceptibility and investigate potential interactions between adiposity indices and genetic risk. Univariate linear regression analyses were performed to evaluate the relationships of cumulative adiposity indices and magnetic resonance imaging and dual X-ray absorptiometry parameters, including visceral adipose tissue (VAT) volume, VAT mass, trunk fat volume, and trunk fat mass. We further applied the eXtreme Gradient Boosting (XGBoost) algorithm, with the feature importance being measured to evaluate the predictive value of each adiposity index for imaging parameters. Mendelian randomization analysis was further conducted to investigate the potential causal relationship between trunk fat mass and AF. Results A total of 12 776 participants were included. Over a median follow-up of 9.60 years, 761 (5.96%) new-onset AF events were recorded. Participants were divided into four classes based on the changes in adiposity indices. In the fully adjusted model, compared to participants in Class 1 of BRI, those in Class 3 (HR＝1.30, 95%CI 1.04-1.63, P＝0.023) and Class 4 (HR＝2.17, 95%CI 1.61-2.93, P＜0.001) were associated with significantly higher risks of new-onset AF. Regarding METS-VF, participants in Class 4 of METS-VF also demonstrated a significantly higher risk of new-onset AF compared to those in Class 1 (HR＝1.66, 95%CI 1.15-2.39, P＝0.007). However, no significant association was observed between different classes of VAI and the risk of new-onset AF. For every 1 standard deviation increase in cumulative BRI, VAI, and METS-VF, the fully adjusted HRs of new-onset AF were 1.23 (95%CI 1.13-1.35), 1.02 (95%CI 0.94-1.10), and 1.23 (95%CI 1.12-1.35), respectively. Cumulative adiposity indices (BRI, VAI, and METS-VF) were divided into quartiles. Using the first quartile as reference, participants in the highest quartiles of BRI (HR＝1.40, 95%CI 1.10-1.79, P＝0.007) and METS-VF (HR＝1.44, 95%CI 1.13-1.83, P＝0.003) both exerted a significantly higher risk of new-onset AF. Regarding VAI, no significant association was observed (HR＝1.00, 95%CI 0.81-1.23, P＝0.988). Restricted cubic spline analyses revealed non-linear relationships between cumulative BRI, baseline/cumulative VAI, and baseline/cumulative METS-VF with new-onset AF risk (all P_overall＜0.05, P_non-linear＜0.05). In the C-index analysis, BRI demonstrated the highest predictive performance for new-onset AF, followed by METS-VF and VAI. Subgroup analysis indicated a stronger association between METS-VF and the risk of new-onset AF amongst participants younger than 60 years (P_interaction＝0.008). Polygenic risk score analysis stratified by genetic risk demonstrated a synergistic effect between BRI and genetic risk with new-onset AF, with the overall risk of new-onset AF increasing as both BRI and genetic risk increased. Linear regression analysis revealed a positive correlation between cumulative BRI with VAT volume, VAT mass, trunk fat volume, and trunk fat mass. The feature importance plot derived from the XGBoost algorithm indicated that cumulative BRI had the greatest predictive value on VAT volume, VAT mass, trunk fat volume, and trunk fat mass. Mendelian randomization analysis confirmed a significant causal relationship between trunk fat mass and AF. Conclusions There are significant non-linear associations between BRI, METS-VF, and VAI with new-onset AF. Higher BRI and METS-VF are significantly associated with a higher risk of new-onset AF, whereas no significant association is observed for the VAI. BRI exhibits a positive correlation with VAT and trunk fat, and demonstrates superior performance in predicting new-onset AF compared to VAI and METS-VF. Monitoring and managing BRI may be important in the early detection and intervention of AF.

Objective To investigate the relationship between serum platelet-activating factor (PAF) level, T cell immune function and disease activity in vitiligo patients. Methods A total of 102 patients with vitiligo treated in our hospital from July 18th, 2022 to July 26th, 2023 were enrolled as study subjects. According to VIDA score, the patients were divided into an advanced-stage group (n=54) and a stable stage group (n=49). PAF and T lymphocyte levels were compared between the two groups. Logistic regression analysis was performed to examine the relationship between PAF levels and disease activity, as well as their correlation with T cell subsets. Unconditional logistic regression modeling was employed to analyze the interaction between PAF levels and T cell subsets in disease activity. Results No significant difference was observed in CD3⁺ levels between advanced and stable stage vitiligo patients. PAF and CD8⁺ levels in advanced group were significantly higher than those in stable group, while CD4⁺ levles and CD4⁺/CD8⁺ ratios were significantly lower than those in stable group. When PAF level was 18.24 ng/L, the maximum Youden index reached 0.670, with corresponding sensitivity of 84.22% and specificity of 82.77%. The area under ROC curve AUC was 0.858. The intensity of association between PAF level and disease activity was nonlinear dose-response relationship. Among patients with VIDA score ≥1, significant differences were observed in both CD4⁺ and CD8⁺ levels across different PAF levels, and the CD4⁺/CD8⁺ ratios in vitiligo patients with different VIDA scores was significantly different. Interaction analysis revealed that after adjusting for confounding factors, the effect of PAF levels and T cell subsets on disease activity in vitiligo patients showed significant interaction in both additive model (RERI=4.674, 95%CI: 1.032~11.942; AP=0.763, 95%CI: 0.336~1.201; S=6.854, 95%CI: 1.904~16.520) and multiplicative model (OR=3.461, 95%CI: 1.365~8.713). Conclusion Serum PAF, CD4⁺, CD8⁺ and CD4⁺/CD8⁺ of vitiligo patients are closely related to disease activity, and PAF level interacts with T cell subsets (CD4⁺, CD8⁺, CD4⁺/CD8⁺) in the disease activity of vitiligo patients. PAF and T cell immune function may contribute to the occurrence and development of vitiligo, which could serve as clinical indicators of disease activity to guide timely management.
Humans ; Vitiligo/blood* ; Platelet Activating Factor/immunology* ; Male ; Female ; Adult ; Middle Aged ; Young Adult ; T-Lymphocytes/immunology* ; Adolescent ; T-Lymphocyte Subsets/immunology*

Probiotics are natural systems bridging synthetic biology, physical biotechnology, and immunology, initiating innate and adaptive anti-tumor immune activity. We previously constructed an all-in-one engineered food-grade probiotic Lactococcus lactis (FOLactis) which could boost the crosstalk among different immune cells such as dendritic cells (DCs), natural killer cells, and T cells. Herein, considering the limited clinical efficacy of naked personalized neoantigen peptide vaccines, we decorate FOLactis with tumor antigens by employing a Plug-and-Display system comprising membrane-inserted peptides. Intranodal injection of FOLactis coated with neoantigen peptides (Ag-FOLactis) induces robust DCs presentation and neoantigen-specific cellular immunity. Notably, Ag-FOLactis not only triggers a 45-fold rise in the quantity of locally reactive neoantigen-specific T cells but also induces epitope spreading in both subcutaneous and metastatic tumor-bearing models, leading to potent inhibition of tumor growth. These findings imply that Ag-FOLactis represents a powerful platform to rapidly and easily display antigens, facilitating the development of a bio-activated platform for personalized therapy.

With the rapid advancement of synthetic biology, CRISPR-Cas systems have emerged as a powerful tool for gene editing, demonstrating significant potential in various fields, including medicine, agriculture, and industrial biotechnology. This review comprehensively summarizes the significant progress in applying artificial intelligence (AI) technologies to the design, mining, and modification of CRISPR-Cas systems. AI technologies, especially machine learning, have revolutionized sgRNA design by analyzing high-throughput sequencing data, thereby improving the editing efficiency and predicting off-target effects with high accuracy. Furthermore, this paper explores the role of AI in sgRNA design and evaluation, highlighting its contributions to the annotation and mining of CRISPR arrays and Cas proteins, as well as its potential for modifying key proteins involved in gene editing. These advancements have not only improved the efficiency and precision of gene editing but also expanded the horizons of genome engineering, paving the way for intelligent and precise genome editing.
CRISPR-Cas Systems/genetics* ; Artificial Intelligence ; Gene Editing/methods* ; RNA, Guide, CRISPR-Cas Systems/genetics* ; Machine Learning ; Humans ; Genetic Engineering/methods* ; Synthetic Biology

Objective To explore the longitudinal associations of body roundness index(BRI),visceral adiposity index(VAI),and metabolic score for visceral fat(METS-VF)with the risk of new-onset atrial fibrillation(AF).Methods This study included participants from the UK Biobank who were free of AF or pregnancy at baseline and completed the first and second assessments of BRI,VAI,and METS-VF.The changes in BRI,VAI,and METS-VF were classified using K-means clustering analyses,and the cumulative adiposity indices were also calculated.The primary outcome was new-onset AF.Three Cox regression models were employed to investigate the longitudinal associations of the BRI,VAI,and METS-VF changes with the risk of incident new-onset AF.The results were presented as hazard ratios(HRs)and the corresponding 95%confidence intervals(CIs).Restricted cubic spline analyses were performed to explore potential non-linear associations between baseline or cumulative adiposity indices and the risk of new-onset AF.C-index analyses were conducted to evaluate the predictive value of BRI,VAI,and METS-VF for new-onset AF.Subgroup analyses were performed according to age,gender,race,smoking status,alcohol consumption,and physical activity.Polygenic risk scores were applied to account for genetic susceptibility and investigate potential interactions between adiposity indices and genetic risk.Univariate linear regression analyses were performed to evaluate the relationships of cumulative adiposity indices and magnetic resonance imaging and dual X-ray absorptiometry parameters,including visceral adipose tissue(VAT)volume,VAT mass,trunk fat volume,and trunk fat mass.We further applied the eXtreme Gradient Boosting(XGBoost)algorithm,with the feature importance being measured to evaluate the predictive value of each adiposity index for imaging parameters.Mendelian randomization analysis was further conducted to investigate the potential causal relationship between trunk fat mass and AF.Results A total of 12 776 participants were included.Over a median follow-up of 9.60 years,761(5.96%)new-onset AF events were recorded.Participants were divided into four classes based on the changes in adiposity indices.In the fully adjusted model,compared to participants in Class 1 of BRI,those in Class 3(HR=1.30,95%CI 1.04-1.63,P=0.023)and Class 4(HR=2.17,95%CI 1.61-2.93,P＜0.001)were associated with significantly higher risks of new-onset AF.Regarding METS-VF,participants in Class 4 of METS-VF also demonstrated a significantly higher risk of new-onset AF compared to those in Class 1(HR=1.66,95%CI 1.15-2.39,P=0.007).However,no significant association was observed between different classes of VAI and the risk of new-onset AF.For every 1 standard deviation increase in cumulative BRI,VAI,and METS-VF,the fully adjusted HRs of new-onset AF were 1.23(95%CI 1.13-1.35),1.02(95%CI 0.94-1.10),and 1.23(95%CI 1.12-1.35),respectively.Cumulative adiposity indices(BRI,VAI,and METS-VF)were divided into quartiles.Using the first quartile as reference,participants in the highest quartiles of BRI(HR=1.40,95%CI 1.10-1.79,P=0.007)and METS-VF(HR=1.44,95%CI 1.13-1.83,P=0.003)both exerted a significantly higher risk of new-onset AF.Regarding VAI,no significant association was observed(HR=1.00,95%CI 0.81-1.23,P=0.988).Restricted cubic spline analyses revealed non-linear relationships between cumulative BRI,baseline/cumulative VAI,and baseline/cumulative METS-VF with new-onset AF risk(all Poverall＜0.05,Pnon-linear＜0.05).In the C-index analysis,BRI demonstrated the highest predictive performance for new-onset AF,followed by METS-VF and VAI.Subgroup analysis indicated a stronger association between METS-VF and the risk of new-onset AF amongst participants younger than 60 years(Pinteraction=0.008).Polygenic risk score analysis stratified by genetic risk demonstrated a synergistic effect between BRI and genetic risk with new-onset AF,with the overall risk of new-onset AF increasing as both BRI and genetic risk increased.Linear regression analysis revealed a positive correlation between cumulative BRI with VAT volume,VAT mass,trunk fat volume,and trunk fat mass.The feature importance plot derived from the XGBoost algorithm indicated that cumulative BRI had the greatest predictive value on VAT volume,VAT mass,trunk fat volume,and trunk fat mass.Mendelian randomization analysis confirmed a significant causal relationship between trunk fat mass and AF.Conclusions There are significant non-linear associations between BRI,METS-VF,and VAI with new-onset AF.Higher BRI and METS-VF are significantly associated with a higher risk of new-onset AF,whereas no significant association is observed for the VAI.BRI exhibits a positive correlation with VAT and trunk fat,and demonstrates superior performance in predicting new-onset AF compared to VAI and METS-VF.Monitoring and managing BRI may be important in the early detection and intervention of AF.

Objective To investigate the role of long non-coding RNA(lncRNA)-ROR in mediating epithelial-mesenchymal transformation(EMT)and its impact on radiotherapy resistance in nasopharyngeal carcinoma cells.Methods Nasopharyngeal carcinoma cells CNE2 were divided into blank group,negative control(NC)group and lncRNA-ROR siliencing group;or were divided into blank group,radiotherapy group,radiotherapy+NC group,and radiotherapy+lncRNA-ROR overexpression group(radiotherapy treated with 6 Gy radiation for 24 h).The CNE2 proliferation was detected by cell counting kit 8 method.The cell migration was detected by cell scratch test and Transwell cell migration test.The apoptosis ratio was detected by flow cytometry,and the apoptosis-related proteins and epithelial-mesenchymal transition proteins were detected by Western blotting.Results Compared with the blank group and NC group,the proliferation ability of nasopharyngeal carcinoma cells CNE2 was decreased after inhibition of lncRNA-ROR expression for 48 and 72 h(all P＜0.05).The mobility of CNE2 cells after lncRNA-ROR expression inhibition was lower than that in the NC group(P＜0.05).The migration ability of CNE2 cells in the radiotherapy+lncRNA-ROR overexpression group was higher than that in the radiotherapy group and radiotherapy+NC group(both P＜0.05).Compared with the radiotherapy group and radiotherapy+NC group,the apoptosis rates of CNE2 cells in the radiotherapy+lncRNA-ROR overexpression group was decreased(both P＜0.05).After lncRNA-ROR inhibition,the expression of activated caspase 3 and caspase 9 proteins was increased(both P＜0.05),while the expression of activated caspase 3 and caspase 9 proteins was decreased in the radiotherapy+overexpressed lncRNA-ROR group(both P＜0.05).Inhibition of lncRNA-ROR increased the expression of epithelial marker proteins(E-cadherin,β-catenin),and decreased the expression of interstitial marker proteins(N-cadherin,vimentin).The epithelial marker protein expression was decreased and interstitial marker protein expression was increased in CNE2 cells in the radiotherapy+lncRNA-ROR overexpression group compared with the radiotherapy group and radiotherapy+NC group(all P＜0.05).Conclusion lncRNA-ROR can affect the radiotherapy resistance of nasopharyngeal carcinoma cells by regulating their proliferation,migration,apoptosis and EMT,and it is a potential target for reversing the radiotherapy resistance of nasopharyngeal carcinoma cells.

Objective:To compare the diagnostic performance of multiparametric magnetic resonance imaging (mpMRI) and prostate-specific membrane antigen (PSMA) PET/CT in detecting pelvic lymph node metastasis in prostate cancer.Methods:This is a retrospective case series study. A retrospective analysis was conducted on the data of 115 prostate cancer patients who underwent both mpMRI and PSMA PET/CT before undergoing radical prostatectomy and extended pelvic lymph node dissection at the Department of Urology, Xiangya Hospital, Central South University, between March 2020 and September 2023. The age ( M(IQR)) was 67(10) years (range: 45 to 84 years), and the body mass index was 24(4) kg/m 2 (range: 18 to 30 kg/m 2). Pathological and imaging data were obtained from the patients. Lymph node pathology results were used as the gold standard to evaluate the diagnostic performance of mpMRI and PSMA PET/CT for detecting pelvic lymph node metastasis in PCa through diagnostic evaluation tests. Comparisons between groups were performed using independent samples t-test, Mann-Whitney U test, or χ2 test. Results:The positive rate for detecting pelvic lymph node metastasis was 18.3% (21/115) with mpMRI and 25.2% (29/115) with PSMA PET/CT. The pathological positive rate for lymph nodes was 28.7% (33/115). In patient-based analysis, the diagnostic sensitivity of PSMA PET/CT was significantly higher than that of mpMRI (63.6% vs. 30.3%, χ2=7.36, P=0.007). In lesion-based analysis, both the sensitivity and positive predictive value of PSMA PET/CT were significantly higher than those of mpMRI (sensitivity: 68.0% vs. 21.6%, χ2=42.20, P<0.01; positive predictive value: 50.0% vs. 23.1%, χ2=7.54, P=0.006). Conclusions:PSMA PET/CT and mpMRI both demonstrates good specificity in predicting pelvic lymph node metastasis in prostate cancer. However, PSMA PET/CT is significantly superior to mpMRI in terms of sensitivity and the detection rate of pathologically positive lymph nodes.

Objective:To systematically evaluate the incidence of psychological dysfunction in critically ill patients with post-intensive care syndrome (PICS) .Methods:Computer search was conducted on CNKI, Wanfang Database, VIP, SinoMed, PubMed, Embase, Cochrane Library, Web of Science, CINAHL and Scopus for literature related to the incidence of psychological dysfunction in critically ill PICS patients, and the search period was from establishment of the databases to April 2023. Data extraction and quality evaluation were carried out for the included literatures and Stata 17.0 software was used for meta-analysis.Results:A total of 32 articles were included, with a total of 496 399 patients. Meta-analysis results showed that the incidence of psychological dysfunction in critically ill PICS patients was 31.0% (95% CI: 26%-35%). Subgroup analysis results showed that the incidence of psychological dysfunction in PICS patients was higher in foreign literature, literature on virus-infected ICU patients, and literature published from 2017 to 2023, with incidence of 32.5% (95% CI: 25%-40%), 34.0% (95% CI: 29%-39%), and 32.8% (95% CI: 28%-38%), respectively. Conclusions:The incidence of psychological dysfunction in critically ill patients with post-intensive care syndrome is relatively high. Medical staff should pay more attention to the psychological health of post-ICU patients, strengthen screening of psychological dysfunction in critically ill patients with post-intensive care syndrome and give timely targeted intervention measures.

Objective:To compare the diagnostic performance of multiparametric magnetic resonance imaging (mpMRI) and prostate-specific membrane antigen (PSMA) PET/CT in detecting pelvic lymph node metastasis in prostate cancer.Methods:This is a retrospective case series study. A retrospective analysis was conducted on the data of 115 prostate cancer patients who underwent both mpMRI and PSMA PET/CT before undergoing radical prostatectomy and extended pelvic lymph node dissection at the Department of Urology, Xiangya Hospital, Central South University, between March 2020 and September 2023. The age ( M(IQR)) was 67(10) years (range: 45 to 84 years), and the body mass index was 24(4) kg/m 2 (range: 18 to 30 kg/m 2). Pathological and imaging data were obtained from the patients. Lymph node pathology results were used as the gold standard to evaluate the diagnostic performance of mpMRI and PSMA PET/CT for detecting pelvic lymph node metastasis in PCa through diagnostic evaluation tests. Comparisons between groups were performed using independent samples t-test, Mann-Whitney U test, or χ2 test. Results:The positive rate for detecting pelvic lymph node metastasis was 18.3% (21/115) with mpMRI and 25.2% (29/115) with PSMA PET/CT. The pathological positive rate for lymph nodes was 28.7% (33/115). In patient-based analysis, the diagnostic sensitivity of PSMA PET/CT was significantly higher than that of mpMRI (63.6% vs. 30.3%, χ2=7.36, P=0.007). In lesion-based analysis, both the sensitivity and positive predictive value of PSMA PET/CT were significantly higher than those of mpMRI (sensitivity: 68.0% vs. 21.6%, χ2=42.20, P<0.01; positive predictive value: 50.0% vs. 23.1%, χ2=7.54, P=0.006). Conclusions:PSMA PET/CT and mpMRI both demonstrates good specificity in predicting pelvic lymph node metastasis in prostate cancer. However, PSMA PET/CT is significantly superior to mpMRI in terms of sensitivity and the detection rate of pathologically positive lymph nodes.