Objective:To investigate the risk factors of pediatric sepsis-induced coagulopathy（pSIC），and to construct a nomogram prediction model for early prediction of pSIC.Methods:Using a cross-sectional retrospective cohort design，children with sepsis who were hospitalized in PICU of the Second People's Hospital of Liaocheng Subsidiary to Shandong First Medical University from January 2017 to December 2023 were selected as the study objects，and the diagnosis of sepsis met the diagnostic criteria for childhood sepsis of the 2015 edition.According to the diagnostic criteria of pSIC，the children with sepsis were divided into common sepsis group and pSIC group.The clinical data of both groups were compared，such as general condition，inflammatory indicators，coagulation indicators，sequential organ failure assessment（pSOFA），pSIC score，PICU duration，etc.The risk factors of pSIC were initially screened by Lasso regression analysis，and the independent risk factors were screened by multivariate Logistic regression analysis.R software was used to construct the risk prediction nomogram and evaluate the model.Results:A total of 150 children with sepsis were included in the study，including 121 in the common sepsis group and 29 in the pSIC group.Lasso regression and multivariate Logistic regression analysis showed that pSOFA，prothrombin time（PT），alanine aminotransferase（ALT），blood urea nitrogen（BUN），mean platelet volume/platelet（MPV/PLT）and pediatric critical illness score(PCIS) were independent risk factors for pSIC（all P<0.05）.Since the sources of the pSIC score overlaped with those of pSOFA and PT, only four indicators including ALT，BUN，MPV/PLT and PCIS were used to construct a nomogram model for predicting pSIC.The consistency index of the nomogram model was 0.98，and the area under the receiver operating characteristic curve was 0.975（95% CI 0.952-0.999）.The calibration curve was shown as a straight line with slope close to 1，indicating that the nomogram model had good accuracy in predicting pSIC.The clinical decision curve indicated that the nomogram model had good clinical applicability. Conclusion:pSOFA，PT，ALT，BUN，MPV/PLT and PCIS were all independent risk factors for pSIC.The risk prediction nomogram model of pSIC based on ALT，BUN，MPV/PLT and PCIS can predict the occurrence of pSIC，and provide reference for early clinical recognition and intervention.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

Objective:To evaluate the effect of low-dose esketamine on intraoperative electroencephalogram (EEG) burst suppression under general anesthesia in elderly patients.Methods:In this prospective randomized controlled trial, 86 elderly patients of either sex, scheduled for elective lumbar fusion surgery at Anhui No. 2 Provincial People′s Hospital from March 15 to June 1, 2024, aged 60-85 yr, with a body mass index of 18-28 kg/m 2, of American Society of Anesthesiologists Physical Status classification ⅡorⅢ, were divided into 2 groups ( n=43 each) using a random number table method: esketamine group (group S) and control group (group C). In group S, esketamine at a dose of 0.25 mg/kg was intravenously injected after anesthesia induction, while the equal volume of normal saline was intravenously injected in group C. The occurrence of EEG burst suppression and frequency of the characteristic density spectral array were recorded using the Masimo Sedline cerebral function monitor. The patient state index was recorded before esketamine administration and at 5, 10, 30 and 60 min after administration and at 5 min before the end of the surgery. Delirium was assessed using the Confusion Assessment Method at 1 and 3 days after operation. The total pressing times of patient-controlled analgesia within 48 h after operation, requirement for rescue analgesia and occurrence of adverse reactions (nausea and vomiting, delayed emergence from anesthesia, agitation, headache) were recorded. The consumption of ephedrine, phenylephrine, sufentanil and remifentanil during operation, emergence time, time of tracheal extubation, length of stay in the post-anesthesia care unit, and length of postoperative hospital stay were also recorded. Results:Compared with group C, the incidence of EEG burst suppression and frequency of the characteristic density spectral array were significantly decreased, the patient state index values were increased at each time point after administration and 5 min before the end of surgery, the consumption of ephedrine, phenylephrine, sufentanil and remifentanil during operation was reduced, the effective pressing times of patient-controlled analgesia, rate of rescue analgesia, and incidence of postoperative delirium within 3 days after operation were decreased, and the length of postoperative hospital stay was shortened in group S ( P<0.05). Conclusions:Low-dose esketamine can reduce intraoperative EEG burst suppression and decrease the development of postoperative delirium under general anesthesia in elderly patients.

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*

Objective:To evaluate the effect of low-dose esketamine on intraoperative electroencephalogram (EEG) burst suppression under general anesthesia in elderly patients.Methods:In this prospective randomized controlled trial, 86 elderly patients of either sex, scheduled for elective lumbar fusion surgery at Anhui No. 2 Provincial People′s Hospital from March 15 to June 1, 2024, aged 60-85 yr, with a body mass index of 18-28 kg/m 2, of American Society of Anesthesiologists Physical Status classification ⅡorⅢ, were divided into 2 groups ( n=43 each) using a random number table method: esketamine group (group S) and control group (group C). In group S, esketamine at a dose of 0.25 mg/kg was intravenously injected after anesthesia induction, while the equal volume of normal saline was intravenously injected in group C. The occurrence of EEG burst suppression and frequency of the characteristic density spectral array were recorded using the Masimo Sedline cerebral function monitor. The patient state index was recorded before esketamine administration and at 5, 10, 30 and 60 min after administration and at 5 min before the end of the surgery. Delirium was assessed using the Confusion Assessment Method at 1 and 3 days after operation. The total pressing times of patient-controlled analgesia within 48 h after operation, requirement for rescue analgesia and occurrence of adverse reactions (nausea and vomiting, delayed emergence from anesthesia, agitation, headache) were recorded. The consumption of ephedrine, phenylephrine, sufentanil and remifentanil during operation, emergence time, time of tracheal extubation, length of stay in the post-anesthesia care unit, and length of postoperative hospital stay were also recorded. Results:Compared with group C, the incidence of EEG burst suppression and frequency of the characteristic density spectral array were significantly decreased, the patient state index values were increased at each time point after administration and 5 min before the end of surgery, the consumption of ephedrine, phenylephrine, sufentanil and remifentanil during operation was reduced, the effective pressing times of patient-controlled analgesia, rate of rescue analgesia, and incidence of postoperative delirium within 3 days after operation were decreased, and the length of postoperative hospital stay was shortened in group S ( P<0.05). Conclusions:Low-dose esketamine can reduce intraoperative EEG burst suppression and decrease the development of postoperative delirium under general anesthesia in elderly patients.

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.