ObjectivesTo investigate the molecular epidemiological characteristics of HIV-1 infection among men who had sex with men (MSM) in Taizhou City, Zhejiang Province, and to provide a scientific reference for acquired immune deficiency syndrome prevention and control efforts. MethodsThe research subjects were all newly reported MSM population in Taizhou City from 2020 to 2023. Blood samples without antiviral therapy were collected. The HIV-1 pol gene was amplified and sequenced, and the sequences were submitted to the Stanford University drug resistance database to identify the mutation sites and drug resistance. MEGA 11.0 software was used to analyze the nucleic acid sequences, construct phylogenetic tree, and calculate genetic distance of gene sequences. The molecular transmission network diagram of HIV-1 was constructed using Cytoscape_v3.10.1, and the influencing factors of network entry were analyzed by logistic regression. ResultsA total of 363 newly reported HIV-infected MSM patients were included, with a median age [M (P₂₅, P₇₅)] of 34 (26,47) years old. The majority had an educational level of junior high school or below (55.65%). A total of eight subtypes were found, mainly CRF07_BC and CRF01_AE. The primary drug resistance rate was 10.47% (38/363). The optimal molecular network gene distance was 0.019, with a network access rate of 42.70% (155/363), and a total of 47 molecular clusters were formed. Multivariate logistic analyses showed that compared with the CRF01_AE subtype, the clustering risk of CRF07_BC subtype was higher (OR=1.916, 95%CI: 1.191‒3.109), cases with drug resistance had a higher risk of cluster formation than those without drug resistance (OR=2.011, 95%CI: 1.006‒4.080), and recent infected patients had a lower risk of entering the largest molecular cluster than long-term infected patients (OR=0.376, 95%CI: 0.137‒0.928). ConclusionThe newly diagnosed infections among the MSM population are active in Taizhou City, Zhejiang Province, with a high level of primary drug resistance. Individuals carrying drug-resistant strains are more likely to cluster. Drug resistance monitoring should be strengthened to prevent further spread of drug-resistant strains in the network.

OBJECTIVE: To observe the effect of perioperative transcutaneous electrical acupoint stimulation (TEAS) on postoperative fatigue syndrome (POFS) in elderly patients undergoing laparoscopic radical gastrectomy. METHODS: A total of 80 elderly patients scheduled for laparoscopic radical gastrectomy were randomized into a TEAS group and a sham TEAS group, 40 cases in each one. In the TEAS group, TEAS intervention was applied at bilateral Hegu (LI4), Neiguan (PC6), Zusanli (ST36) and Sanyinjiao (SP6) from 30 min before anesthesia induction until surgery completion, and at 18:00 on 1st, 2nd and 3rd days after surgery, once a day, 30 min a time. In the sham TEAS group, the same acupoints were selected and connected to the electroacupuncture device at the same time, without electrical stimulation. One day before surgery and 1, 3, 7 days after surgery, the 10-item short form of identity consequence fatigue scale (ICFS-10) score was observed, and the POFS incidence rate of 1, 3, 7 days after surgery was assessed in the two groups. One day before surgery, surgery completion, and 1, 3 days after surgery, the serum levels of superoxide dismutase (SOD), β-endorphin (β-EP) were detected; 1 day before surgery and 1, 3, 7 days after surgery, the serum level of tumor necrosis factor-α (TNF-α) was detected in the two groups. The pain visual analog scale (VAS) score was observed at 24, 48 and 72 h after surgery; the intraoperative dosage of propofol and remifentanil, and the incidence rate of postoperative nausea and vomiting, itching, respiratory depression were recorded in the two groups. RESULTS: In the TEAS group, on 1, 3, 7 days after surgery, except for the scores of item 8-10, the item scores and the total scores of ICFS-10 were lower than those in the sham TEAS group (P<0.001); on 3 and 7 days after surgery, the POFS incidence rates were lower than those in the sham TEAS group (P<0.05). In the TEAS group, on 1 and 3 days after surgery, the serum levels of SOD were higher than those in the sham TEAS group (P<0.05, P<0.01); at surgery completion, and on 1, 3 days after surgery, the serum levels of β-EP were higher than those in the sham TEAS group (P<0.001, P<0.01); on 1, 3, 7 days after surgery, the serum levels of TNF-α were lower than those in the sham TEAS group (P<0.01, P<0.001). In the TEAS group, at 24, 48 and 72 h after surgery, the pain VAS scores were lower than those in the sham TEAS group (P<0.001, P<0.01, P<0.05); the intraoperative dosage of remifentanil was lower than that in the sham TEAS group (P<0.001); the incidence rate of postoperative nausea and vomiting was lower than that in the sham TEAS group (P<0.01). CONCLUSION Perioperative TEAS intervention can effectively reduce the incidence rate of POFS, improve fatigue symptom and mental state in elderly patients undergoing laparoscopic radical gastrectomy, its mechanism may related to enhancing endogenous β-EP release, inhibiting inflammatory response, and reducing central oxidative stress, thereby promoting postoperative recovery.
Humans ; Acupuncture Points ; Male ; Female ; Aged ; Transcutaneous Electric Nerve Stimulation ; Postoperative Complications/therapy* ; Middle Aged ; Fatigue/etiology* ; Gastrectomy/adverse effects* ; beta-Endorphin/blood* ; Tumor Necrosis Factor-alpha/blood*

This study aimed to comprehensively examine the association of gallstones, cholecystectomy, and cancer risk. Multivariable logistic regressions were performed to estimate the observational associations of gallstones and cholecystectomy with cancer risk, using data from a nationwide cohort involving 239 799 participants. General and gender-specific two-sample Mendelian randomization (MR) analysis was further conducted to assess the causalities of the observed associations. Observationally, a history of gallstones without cholecystectomy was associated with a high risk of stomach cancer (adjusted odds ratio (aOR)=2.54, 95% confidence interval (CI) 1.50-4.28), liver and bile duct cancer (aOR=2.46, 95% CI 1.17-5.16), kidney cancer (aOR=2.04, 95% CI 1.05-3.94), and bladder cancer (aOR=2.23, 95% CI 1.01-5.13) in the general population, as well as cervical cancer (aOR=1.69, 95% CI 1.12-2.56) in women. Moreover, cholecystectomy was associated with high odds of stomach cancer (aOR=2.41, 95% CI 1.29-4.49), colorectal cancer (aOR=1.83, 95% CI 1.18-2.85), and cancer of liver and bile duct (aOR=2.58, 95% CI 1.11-6.02). MR analysis only supported the causal effect of gallstones on stomach, liver and bile duct, kidney, and bladder cancer. This study added evidence to the causal effect of gallstones on stomach, liver and bile duct, kidney, and bladder cancer, highlighting the importance of cancer screening in individuals with gallstones.
Humans ; Mendelian Randomization Analysis ; Gallstones/complications* ; Female ; Male ; Cholecystectomy/statistics & numerical data* ; Middle Aged ; Risk Factors ; Aged ; Adult ; Neoplasms/etiology* ; Stomach Neoplasms/epidemiology*

Activity cliffs (ACs) are generally defined as pairs of similar compounds that only differ by a minor structural modification but exhibit a large difference in their binding affinity for a given target. ACs offer crucial insights that aid medicinal chemists in optimizing molecular structures. Nonetheless, they also form a major source of prediction error in structure-activity relationship (SAR) models. To date, several studies have demonstrated that deep neural networks based on molecular images or graphs might need to be improved further in predicting the potency of ACs. In this paper, we integrated the triplet loss in face recognition with pre-training strategy to develop a prediction model ACtriplet, tailored for ACs. Through extensive comparison with multiple baseline models on 30 benchmark datasets, the results showed that ACtriplet was significantly better than those deep learning (DL) models without pre-training. In addition, we explored the effect of pre-training on data representation. Finally, the case study demonstrated that our model's interpretability module could explain the prediction results reasonably. In the dilemma that the amount of data could not be increased rapidly, this innovative framework would better make use of the existing data, which would propel the potential of DL in the early stage of drug discovery and optimization.

OBJECTIVE: To investigate the application value of pediatric sepsis-induced coagulation (pSIC) score and mean platelet volume/platelet count (MPV/PLT) ratio in the diagnosis of pediatric sepsis and the determination of critical pediatric sepsis. METHODS: A retrospective cohort study was conducted, selecting 112 children with sepsis (sepsis group) admitted to pediatric intensive care unit (PICU) of Liaocheng Second People's Hospital from January 2020 to December 2023 as the study objects, and 50 children without sepsis admitted to the pediatric surgery department of our hospital during the same period for elective surgery due to inguinal hernia as the control (control group). The children with sepsis were divided into two groups according to the pediatric critical case score (PCIS). The children with PCIS score of ≤ 80 were classified as critically ill group, and those with PCIS score of > 80 was classified as non-critically ill group. pSIC score, coagulation indicators [prothrombin time (PT), international normalized ratio (INR), activated partial thromboplastin time (APTT), and fibrinogen (FIB)], and platelet related indicators (PLT, MPV, and MPV/PLT ratio) were collected. Pearson correlation method was used to analyze the correlation between pSIC score and MPV/PLT ratio as well as their correlation with coagulation indicators. Multivariate Logistic regression analysis was used to screen the independent risk factors for pediatric sepsis and critical pediatric sepsis. Receiver operator characteristic curve (ROC curve) was drawn to evaluate the application value of the above independent risk factors on the diagnosis of pediatric sepsis and the determination of critical pediatric sepsis. RESULTS: 112 children with sepsis and 50 children without sepsis were enrolled in the final analysis. pSIC score, PT, INR, APTT, FIB, MPV, and MPV/PLT ratio in the sepsis group were significantly higher than those in the control group [pSIC score: 0.93±0.10 vs. 0.06±0.03, PT (s): 14.76±0.38 vs. 12.23±0.15, INR: 1.26±0.03 vs. 1.06±0.01, APTT (s): 40.08±0.94 vs. 32.47±0.54, FIB (g/L): 3.51±0.11 vs. 2.31±0.06, MPV (fL): 8.86±0.14 vs. 7.62±0.11, MPV/PLT ratio: 0.037±0.003 vs. 0.022±0.001, all P < 0.01], and PLT was slightly lower than that in the control group (×10⁹/L: 306.00±11.01 vs. 345.90±10.57, P > 0.05). Among 112 children with sepsis, 46 were critically ill and 66 were non-critically ill. pSIC score, PT, INR, APTT, MPV, and MPV/PLT ratio in the critically ill group were significantly higher than those in the non-critically ill group [pSIC score: 1.74±0.17 vs. 0.36±0.07, PT (s): 16.55±0.80 vs. 13.52±0.23, INR: 1.39±0.07 vs. 1.17±0.02, APTT (s): 43.83±1.72 vs. 37.77±0.95, MPV (fL): 9.31±0.23 vs. 8.55±0.16, MPV/PLT ratio: 0.051±0.006 vs. 0.027±0.001, all P < 0.05], PLT was significantly lower than that in the non-critically ill group (×10⁹/L: 260.50±18.89 vs. 337.70±11.90, P < 0.01), and FIB was slightly lower than that in the non-critically ill group (g/L: 3.28±0.19 vs. 3.67±0.14, P > 0.05). Correlation analysis showed that pSIC score was significantly positively correlated with MPV/PLT ratio and coagulation indicators including PT, APTT and INR in pediatric sepsis (r value was 0.583, 0.571, 0.296 and 0.518, respectively, all P < 0.01), and MPV/PLT ratio was also significantly positively correlated with PT, APTT and INR (r value was 0.300, 0.203 and 0.307, respectively, all P < 0.05). Multivariate Logistic regression analysis showed that pSIC score and MPV/PLT ratio were independent risk factors for pediatric sepsis and critical pediatric sepsis [pediatric sepsis: odds ratio (OR) and 95% confidence interval (95%CI) for pSIC score was 14.117 (4.190-47.555), and the OR value and 95%CI for MPV/PLT ratio was 1.128 (1.059-1.202), both P < 0.01; critical pediatric sepsis: the OR value and 95%CI for pSIC score was 8.142 (3.672-18.050), and the OR value and 95%CI for MPV/PLT ratio was 1.068 (1.028-1.109), all P < 0.01]. ROC curve analysis showed that pSIC score and MPV/PLT ratio had certain application value in the diagnosis of pediatric sepsis [area under the ROC curve (AUC) and 95%CI was 0.754 (0.700-0.808) and 0.720 (0.643-0.798), respectively] and the determination of critical pediatric sepsis [AUC and 95%CI was 0.849 (0.778-0.919) and 0.731 (0.632-0.830)], and the combined AUC of the two indictors was 0.815 (95%CI was 0.751-0.879) and 0.872 (95%CI was 0.806-0.938), respectively. CONCLUSIONS pSIC score and MPV/PLT ratio have potential application value in the diagnosis of pediatric sepsis and the determination of critical pediatric sepsis, and the combined application of both is more valuable.
Humans ; Sepsis/complications* ; Platelet Count ; Mean Platelet Volume ; Retrospective Studies ; Child ; Blood Coagulation Disorders/diagnosis* ; Intensive Care Units, Pediatric ; Male ; Female ; Partial Thromboplastin Time ; Child, Preschool ; Blood Coagulation ; International Normalized Ratio ; Infant

Accurate prediction of drug-target interactions (DTIs) plays a pivotal role in drug discovery, facilitating optimization of lead compounds, drug repurposing and elucidation of drug side effects. However, traditional DTI prediction methods are often limited by incomplete biological data and insufficient representation of protein features. In this study, we proposed KG-CNNDTI, a novel knowledge graph-enhanced framework for DTI prediction, which integrates heterogeneous biological information to improve model generalizability and predictive performance. The proposed model utilized protein embeddings derived from a biomedical knowledge graph via the Node2Vec algorithm, which were further enriched with contextualized sequence representations obtained from ProteinBERT. For compound representation, multiple molecular fingerprint schemes alongside the Uni-Mol pre-trained model were evaluated. The fused representations served as inputs to both classical machine learning models and a convolutional neural network-based predictor. Experimental evaluations across benchmark datasets demonstrated that KG-CNNDTI achieved superior performance compared to state-of-the-art methods, particularly in terms of Precision, Recall, F1-Score and area under the precision-recall curve (AUPR). Ablation analysis highlighted the substantial contribution of knowledge graph-derived features. Moreover, KG-CNNDTI was employed for virtual screening of natural products against Alzheimer's disease, resulting in 40 candidate compounds. 5 were supported by literature evidence, among which 3 were further validated in vitro assays.
Alzheimer Disease/drug therapy* ; Biological Products/therapeutic use* ; Humans ; Neural Networks, Computer ; Machine Learning ; Drug Discovery/methods* ; Algorithms ; Drug Evaluation, Preclinical/methods*

This study aimed at conducting retrospective analysis of the clinical symptoms and genetic mutations in 20 children with Gitelman syndrome treated at the Affiliated Children′s Hospital of Nanjing Medical University from August 2015 to November 2022 and also explored the molecular mechanism of the pathogenic high-frequency mutation D486N in the Chinese population.

ObjectiveTo analyze the failure of antiretroviral therapy (ART) and drug resistance characteristics among the newly reported HIV-infected patients in Taizhou City from 2020 to 2022. MethodsBlood samples, sociodemographic characteristics and ART information of the newly reported HIV-infected patients who received ART for ≥6 months in Taizhou City from 2020 to 2022 were collected for the detection of recent infections and HIV-1 genotypic drug resistance. Multivariate logistic regression analysis was used to analyze the influencing factors of treatment failure. The gene sequences of cases with failed ART were submitted to the HIV drug resistance database of Stanford University to determine the drug resistance mutation sites and drug resistance characteristics. ResultsAmong the 1 023 newly reported HIV-infected patients receiving ART, the median age （P₂₅，P₇₅） was 47 (33, 58) years, 81.4% were male, 66.4% (679/1 023) were infected through heterosexual transmission, 74.7% had a WHO clinical stage Ⅰ/Ⅱ, 62.2% had a baseline CD4 count of >200 cell·μL^-1, 94.4% (966/1 023) received an immediate ART, and 78.7% were long-term infected. Among the 66 patients with treatment failure (6.5%), the likelihood of treatment failure was lower in those with homosexual transmission (OR=0.39, 95%CI: 0.17‒0.84) and without history of sexually transmitted disease (STD) (OR=0.45, 95%CI: 0.24‒0.92), but higher in those with a baseline CD4 count of ≤200 cell·μL^-1, delayed ART (OR=3.19, 95%CI: 1.24‒7.52), and primary drug resistance (OR=4.69, 95%CI: 1.68‒11.89). Among the 36 HIV-infected patients with virological failure, 27 sequences were successfully amplified, with a successful amplification rate of 75.0% (27/36). The total drug resistance rate was 55.6% (15/27), of which the drug resistance rates of nucleoside reverse transcriptase inhibitors (NRTIs), non-nucleoside reverse transcriptase inhibitors (NNRTIs) and protease inhibitors (PIs) were 37.0% (10/27), 51.9% (14/27) and 3.7% (1/27), respectively. Among the NNRTIs, the degree of resistance to efavirenz and nevirapine was consistent, with a majority (51.9%) of highly drug-resistant. K103N and M184V were the most common mutation sites, but PIs mutations occured less frequently. A total of 8 genotypes of HIV-1 were detected, in which subtype CRF01_AE accounted for 37.0% (10/27), followed by CRF07_BC [14.8% (4/27)], CRF08_BC [14.8% (4/27)] and subtype C [14.8% (4/27)]. ConclusionDuring the period from 2020 to 2022, the newly reported HIV-infected individuals in Taizhou City were predominated by long-term infections. Immediate initiation of ART can reduce the risk of treatment failure in HIV-infected individuals. Virological treatment failures are primarily associated with resistance to NRTIs and NNRTIs. It is recommended to strengthen active detection and promptly initiate ART to minimize the occurrence of ART failure. Simultaneously, there is a need to intensify drug resistance detection targeted for those with treatment failure, so as to provide a scientific guidance for drug replacement.

Objective:To investigate the status of evidence-based nursing competence among clinical nurses in tertiary grade A hospitals of Anhui province, and analyze the influencing factors based on random forest model, so as to provide reference for improving the evidence-based nursing ability of clinical nurses and formulating intervention strategies.Methods:The convenience sampling method was used to select 543 clinical nurses from 4 tertiary grade A hospitals in Anhui Province from October to December 2022. The general data questionnaire, Evidence-based Nursing Competence Scale, Information Literacy Scale, and Nurse Innovation Ability Scale were used to investigate. The random forest model was used to evaluate the importance of the influencing factors. The Lasso regression analysis was used to complete the screening of the influencing factors. The influencing factors of the evidence-based nursing competence among clinical nurses were explored by multiple linear regression analysis.Results:A total of 543 valid questionnaires were retrieved. Among 543 clinical nurses, 55 males and 388 females, aged (32.34 ± 6.93) years old. Evidence-based nursing competence scored (45.49 ± 21.18) points, information literacy scored (73.50 ± 10.47) points, innovation ability scored (126.78 ± 21.99) points. The random forest model and Lasso regression analysis showed that the model achieved the best fit with 8 variables. In order of importance, the top 8 variables were information literacy (25.78%), innovation ability (22.37%), night shift per month (9.91%), educational background (9.19%), English proficiency (8.44%), professional title (6.71%), scientific research and innovation experience (5.17%), and professional attitude (4.50%). Multiple linear regression analysis showed that information literacy, innovation ability, and English proficiency were the influencing factors of evidence-based nursing competence among clinical nurses ( t=9.17, 7.31, 2.52, all P<0.05). Conclusions:The level of evidence-based nursing ability among clinical nurses in tertiary grade A hospitals of Anhui province needs to be improved. From the perspective of improving the information literacy among clinical nurses, nursing managers can increase the training of information retrieval ability and English ability, enhance their English literature reading skills, pay attention to the cultivation of nurses' innovation ability, stimulate the innovative consciousness and thinking among clinical nurses, formulate and implement targeted interventions, so as to gradually improve the level of evidence-based nursing ability among clinical nurses.

Objective:To investigate the influence of celastrol(CEL)on the inflammatory response of rats with endometritis by regulating high mobility group box B1(HMGB1)/receptor for advanced glycation end products(RAGE).Methods:Seventy-two SPF SD female rats were randomly grouped into normal control group(Control group),sham operation group(Sham group),Model group,low-dose CEL group(CEL-L group,CEL 20 mg/kg),high-dose CEL group(CEL-H group,CEL 40 mg/kg)and HMGB1 in-hibitor glycyrrhizic acid group(GA group,GA 2 mg/kg),12 rats in each group.A rat model of endometritis was established by intra-uterine injection of phenol mucilage.Histopathological changes of rat uterus were observed by HE staining;the levels of superoxide dismutase(SOD),malondialdehyde(MDA),nitric oxide(NO)and prostaglandin E2(PEG2)in rat serum,and the levels of TNF-α and IL-1β in rat uterus tissue were measured by ELISA;the levels of MMP-2 and MMP-9 in rat uterus tissue were detected by immuno-histochemistry;the mRNA expression levels of HMGB1 and RAGE in rat uterus tissue were detected by RT-qPCR;the protein expres-sions of HMGB1 and RAGE in rat uterus were detected by Western blot.Results:Compared with the Sham group,the uterine tissue of the Model group was severely damaged,and the level of serum SOD and the levels of MMP-2 and MMP-9 in the uterine tissue were ob-viously decreased(P<0.05);the level of serum MDA,NO,PEG2,TNF-α and IL-1β,the expressions of HMGB1 and RAGE mRNA and protein in uterine tissue were obviously increased(P<0.05).Compared with the rats in the Model group,the changes of each in-dex of the rats in the CEL-L and CEL-H groups were opposite to the above(P<0.05).There was no obvious difference in the corre-sponding indexes between the CEL-H group and the GA group(P>0.05).Conclusion:Celastrol may reduce the inflammatory response in rats with endometritis by down-regulating the HMGB1/RAGE signaling pathway.