Objective: To explore the impact of adverse childhood experiences (ACEs) on health risk behaviors (HRBs) among college students and the mediating role of psychological symptoms, so as to provide a basis for developing intervention strategies. Methods: From March to April 2023, a convenience cluster sample of 1 801 students from 12 universities in Nanning, Liuzhou, Guilin, Wuzhou of Guangxi completed an online survey. A self designed questionnaire, Adverse Childhood Experiences-International Questionnaire (ACE-IQ) and Symptom Checklist-90 (SCL-90) were used for evaluation tools. Binary Logistic regression, structural equation modeling (SEM) and Bootstrap methods were used to analyze the associations and mediating effects. Results: Overall, 71.2% of college students experienced at least one type of ACE, with emotional neglect (40.3%) and emotional abuse ( 25.2 %) having the highest detection rates. The top three HRBs were unhealthy diet (77.8%), physical inactivity (54.1%), and smoking/alcohol use (18.5%). Logistic regression showed that poor family functioning, abuse, and extra familial violence were each associated with an increased risk of smoking/alcohol use ( OR =1.14, 1.11, 1.18) and deliberate self harm ( OR =1.26, 1.19,1.30) (all P <0.05). Experience of abuse increased the risk of high risk sexual behavior and family dysfunction increaded the risk of physical inactivity, respectively ( OR = 1.07 , 1.04, both P <0.05). Mediation analysis revealed that anxiety ( β =0.20) and depression ( β = 0.09 ) partially mediated the pathway from poor family functioning to deliberate self harm; paranoia ( β =0.02) partially mediated the pathway from abuse to high risk sexual behavior; and obsessive-compulsive symptoms ( β =0.26) and depression ( β =0.10) partially mediated the pathway from extra familial violence to deliberate self harm (all P <0.05). Conclusion Psychological symptoms play a mediating role in the association between ACEs and HRBs, and mental health interventions may reduce the risk of HRBs among college students.

Background/Aims: Liver transplantation (LT) following total hepatectomy is a life-saving treatment for hepatocellular carcinoma (HCC). The HCC recurrence after LT hinders the effectiveness of the procedure. The objective of this study is to develop a pre-operative risk stratification model based on a liquid biopsy. Methods: We conducted a comprehensive multi-omics study of 260 HCC patients from three centers, including clinical data, low-coverage whole-genome sequencing of cell-free DNA (cfDNA) from plasma, as well as whole-exome, single-nucleus RNA, and spatial transcriptomics from matched tumor and non-tumor tissues. Results: We identified cfDNA-derived copy number alteration (CNA) signatures associated with post-transplant recurrence. By integrating cfDNA-derived CNA profiles with single-cell transcriptomic data, we traced recurrence-associated cfDNA to a distinct subpopulation of malignant cells within the primary tumor. These cells were embedded in a pro-metastatic microenvironment of specialized endothelial subtypes and cancer-associated fibroblasts. Notably, most recurrence-associated lesions were detectable in cfDNA prior to liver transplantation (LT). Building on these insights, we developed the ZJU Criteria based on CNA fragments and tumor markers, a pre-LT risk prediction tool that integrates conventional clinical factors with cfDNA-derived CNA signatures, and validated it using internal and independent external cohorts. Conclusion Our findings suggest that post-transplant recurrence commonly originates from advanced subclones that emerge late during tumor evolution. The ZJU Criteria provides an accurate, non-invasive strategy that significantly improves pre-LT risk stratification and clinical decision-making for patients with HCC.

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.

Metformin has been demonstrated to attenuate hyperglycaemia by modulating the gut microbiota. However, the mechanisms through which the microbiome mediates metformin monotherapy failure (MMF) are unclear. Herein, in a prospective clinical cohort study of newly diagnosed type 2 diabetes mellitus (T2DM) patients treated with metformin monotherapy, metagenomic sequencing of faecal samples revealed that Phocaeicola vulgatus abundance was approximately 12 times higher in nonresponders than in responders. P. vulgatus rapidly hydrolysed taurine-conjugated bile acids, leading to ceramide accumulation and reversing the improvements in glucose intolerance conferred by metformin in high-fat diet-fed mice. Interestingly, C22:0 ceramide bound to mitochondrial fission factor to induce mitochondrial fragmentation and impair hepatic oxidative phosphorylation in P. vulgatus-colonized hyperglycaemic mice, which could be exacerbated by metformin. This work suggests that metformin may be unsuitable for P. vulgatus-rich T2DM patients and that clinicians should be aware of metformin toxicity to mitochondria. Suppressing P. vulgatus growth with cefaclor or improving mitochondrial function using adenosylcobalamin may represent simple, safe, effective therapeutic strategies for addressing MMF.

Myocardial fibrosis is a serious cause of heart failure and even sudden cardiac death. However, the mechanisms underlying myocardial ischemia-induced cardiac fibrosis remain unclear. Here, we identified that the expression of sterile alpha and TIR motif containing 1 (SARM1), was increased significantly in the ischemic cardiomyopathy patients, dilated cardiomyopathy patients (GSE116250) and fibrotic heart tissues of mice. Additionally, inhibition or knockdown of SARM1 can improve myocardial fibrosis and cardiac function of myocardial infarction (MI) mice. Moreover, SARM1 fibroblasts-specific knock-in mice had increased deposition of extracellular matrix and impaired cardiac function. Mechanically, elevated expression of SARM1 promotes the deposition of extracellular matrix by directly modulating P4HA1. Notably, by using the Click-iT reaction, we identified that the increased expression of ZDHHC17 promotes the palmitoylation levels of SARM1, thereby accelerating the fibrosis process. Based on the fibrosis-promoting effect of SARM1, we screened several drugs with anti-myocardial fibrosis activity. In conclusion, we have unveiled that palmitoylated SARM1 targeting P4HA1 promotes collagen deposition and myocardial fibrosis. Inhibition of SARM1 is a potential strategy for the treatment of myocardial fibrosis. The sites where SARM1 interacts with P4HA1 and the palmitoylation modification sites of SARM1 may be the active targets for anti-fibrosis drugs.

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*

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

Natural components serve the survival instincts of cells that are obtained through long-term evolution, while they often fail to meet the demands of engineered cells for efficiently performing biological functions in special industrial environments. Enzymes, as biological catalysts, play a key role in biosynthetic pathways, significantly enhancing the rate and selectivity of biochemical reactions. However, the catalytic efficiency, stability, substrate specificity, and tolerance of natural enzymes often fall short of industrial production requirements. Therefore, exploring and modifying enzymes to suit specific biomanufacturing processes has become crucial. In recent years, artificial intelligence (AI) has played an increasingly important role in the discovery, evaluation, engineering, and de novo design of proteins. AI can accelerate the discovery and optimization of proteins by analyzing large amounts of bioinformatics data and predicting protein functions and characteristics by machine learning and deep learning algorithms. Moreover, AI can assist researchers in designing new protein structures by simulating and predicting their performance under different conditions, providing guidance for protein design. This paper reviews the latest research advances in protein discovery, evaluation, engineering, and de novo design for biomanufacturing and explores the hot topics, challenges, and emerging technical methods in this field, aiming to provide guidance and inspiration for researchers in related fields.
Protein Engineering/methods* ; Artificial Intelligence ; Proteins/genetics* ; Computational Biology ; Machine Learning ; Data Mining ; Algorithms ; Deep Learning

Objective:To investigate the correlation between the timing of minimally invasive puncture drainage and the outcome of patients with hypertensive intracerebral hemorrhage (HICH) in the basal ganglia region.Methods:Patients with HICH in the basal ganglia region underwent minimally invasive puncture and drainage at Hanchuan People's Hospital from January 2019 to September 2023 were selected. According to the timing of surgery, the patients were divided into onset to surgery time ≤12-hour group and >12-hour group. According to the modified Rankin Scale score at 90 days after onset, they were divided into a good outcome group (0-2) and a poor outcome group (>2). Multivariate logistic regression analysis was used to evaluate the independent influencing factors of functional outcome. Results:A total of 150 patients were included, with 78 males (52.00%), aged 53.15±4.35 years (range, 40-75 years). Eighty-six patients (57.33%) underwent surgery within 12 hours after onset, while 64 (42.67%) underwent surgery after 12 hours; 97 patients (64.67%) had good outcome, while 53 (35.33%) had poor outcome. Univariate analysis showed that compared with the onset to surgery time ≤12-hour group, the onset to surgery time >12-hour group had a longer time from onset to admission, a larger postoperative hematoma volume, longer hospitalization time, lower postoperative hematoma clearance rate, and a higher proportion of patients with poor outcome and deaths within 90 days (all P<0.05). Compared with the good outcome group, the poor outcome group had a longer time from onset to admission, higher baseline National Institutes of Health Stroke Scale (NIHSS) scores, larger baseline and postoperative hematoma volumes, and a higher proportion of patients with onset to surgery time >12 hours. However, the postoperative hematoma clearance rate, baseline Glasgow Coma Scale (GCS) score, and the proportion of patients with baseline GCS score >8 was lower in the poor outcome group (all P<0.05). Multivariate logistic regression analysis showed that the higher baseline NIHSS score (odds ratio [ OR] 1.847, 95% confidence interval [ CI] 1.362-2.503; P=0.001) and the time from onset to surgery >12 hours (compared with ≤12 hours: OR 1.347, 95% CI 1.058-1.715; P=0.016) were the independent risk factors for poor outcome, while higher baseline GCS scores ( OR 0.723, 95% CI 0.558-0.937; P=0.006) and higher postoperative hematoma clearance rates ( OR 0.615, 95% CI 0.462-0.819; P=0.004) were the independent protective factors for good outcome. Conclusion:In patients with HICH in basal ganglia, it is ideal to perform minimally invasive puncture and drainage within 12 h after onset, and the postoperative recovery is relatively better.

Objective:To evaluate the effectiveness and safety of zoledronic acid in patients with Paget′s disease of bone based on clinical data from a single medical center.Methods:This retrospective study included 24 patients diagnosed with Paget′s disease of bone and treated with zoledronic acid at Peking Union Medical College Hospital between January 2009 and June 2020. Demographic data, clinical symptoms, treatment efficacy, and safety outcomes were collected. The primary efficacy measure was serum alkaline phosphatase(ALP) levels. Treatment was considered effective if ALP levels returned to normal or decreased by more than 75% from baseline in the difference between the ALP level and its normal median value.Results:Among the 24 patients with Paget′s bone disease, the most commonly affected site was the skull(in 17 cases). All patients received a single 5 mg intravenous infusion of zoledronic acid. Serum ALP levels significantly decreased after treatment. Among the 15 patients who completed at least 3 months of follow-up, all achieved treatment success. The median time for serum ALP levels to reach the target was 13.1(9.4, 26.1) weeks. In 12 patients, ALP levels normalized within a medium of 16.9(11.5, 37.3) weeks, and remained stable over a medium follow-up of 4.56(2.42, 5.71) years. The most common side effects were hypocalcemia(21 cases, 87.5%) and flu-like symptoms(17 cases, 70.8%). Seven patients had severe hypocalcemia(serum calcium<1.75 mmol/L), and they had higher baseline levels of ALP, calcium, and phosphorus compared to those with mild hypocalcemia.Conclusions:Zoledronic acid 5 mg intravenous infusion effectively controlled disease activity in patients with Paget′s disease of bone. Generally, Most patients achieved treatment goals within 3-4 months, with sustained remission for a median of 4 years. Hypocalcemia was the most frequent side effect, underscoring the importance of timely calcium and vitamin D supplementation.