Objective: To analyze the association between insufficient sleep and score of depressive symptoms among junior and senior high school students, so as to provide a scientific reference for targeted early intervention measures of adolescents depressive symptoms. Methods: From September to November 2023, a stratified cluster random sampling method was used to select 96 080 junior and senior high school students from 409 schools in 113 districts and counties in Shaanxi Province. A questionnaire survey was conducted using the 2023 Shaanxi Provincial Common Student Diseases and Health Influencing Factors Survey Form, and their height and weight were measured. Propensity score (PS) matched (1∶1) analysis was used to match participants with insufficient sleep to those sufficient sleep students. Through the gradual correction of the confounders, three multilevel linear models were established to analyze the association between insufficient sleep and depressive symptoms score, and subgroup analysis was conducted afterward. Results: A total of 70 135 (73.00%) students had insufficient sleep. After PS matching, 25 894 pairs were matched. Before PS matching, after adjusting for gender, educational stage, region, adolescent characteristics, boarding status, smoking, alcohol consumption, outdoor activities and body mass index grouping, linear regression analysis results showed that compared with students who got adequate sleep, students who lacked sleep had an increase of 1.39 scores ( B=1.39, 95%CI =1.28-1.51) in depressive symptoms; after PS matching, students with insufficient sleep got an increase of 1.32 scores ( B=1.32, 95%CI =1.17- 1.45 ) in depressive symptoms score compared with those who had adequate sleep (both P <0.05). Conclusions The insufficient sleep is associated with the increase of the depressive symptoms score of junior and senior high school students. It is recommended that junior and senior high school students should keep a good sleeping habit, so as to reduce the prevalence of depressive symptoms.

Objective: To explore a simple, effective, and safe method for excluding false positives and identifying infections by comprehensively evaluating blood donors with reactive HIV screening results, thereby providing a basis for developing management strategies for such donors. Methods: HIV testing data of blood donors from our laboratory from January 2022 to December 2024 were collected. The results of ELISA and nucleic acid testing (NAT) were combined with confirmatory results from the CDC and analyzed. Results: A total of 605 929 samples were tested for HIV over the three-year period, with 682 reactive samples (reactive rate: 11.25 per 10 000). All were sent to the CDC for Western blot (WB) confirmation, resulting in 53 confirmed positives ((confirmed positive rate: 7.77%). Among these, 619 samples showed isolated HIV Ag&Ab reactivity with non-reactive NAT (HIV Ag&Ab+-&HIV RNA or NAT NR), with a confirmed infection rate of 0%; 9 samples showed dual HIV Ag&Ab reactivity with non-reactive NAT (HIV Ag&Ab++&HIV RNA NR or NAT NR), also with 0% confirmed infection; 52 samples showed dual HIV Ag&Ab reactivity and reactive NAT (HIV Ag&Ab++&HIV RNA R or NAT R), all confirmed as positive (100% infection rate); and 2 HIV Ag&Ab dual-reactive samples without NAT detection were also confirmed infected (100%). For all four HIV Ag&Ab assays, the S/CO values in the true positive group with dual reactivity were significantly higher than those in the false-positive groups (P<0.05). The S/CO distributions for both single-reactive false positives and dual-reactive false positives were narrow, with the upper box (Q3, 75th percentile) below optimal cutoff values in all cases (The optimal cutoff values for the four reagents were 5.00, 11.67, 8.50, and 20.90, respectively). Conclusion: Blood donors with positive NAT results in HIV blood screening are permanently deferred. Donors with dual positive HIV Ag&Ab but negative NAT results are classified and managed based on the S/CO values of HIV Ag&Ab and the optimal screening thresholds. Donors with single positive HIV Ag&Ab but negative NAT results are placed under evaluation status and retain their eligibility to donate blood. Optimizing the management measures for blood donors and establishing a scientific stratified management and assessment mechanism can effectively maintain the stability of the blood donor team.

ObjectiveTo explore the effects of the Tai Chi training on bone density， bone turnover markers， and heart rate variability for people with high-risk osteoporosis， and to provide evidence for the prevention of osteoporosis at early stage. MethodsSixty-six cases of people with high risk of osteoporosis were included， and they were divided into 33 cases each in the intervention group and the control group using the random number table method. The control group received osteoporosis health education three times a week， and the intervention group received Tai Chi training under the guidance of a trainer three times a week for 40 mins each time on the basis of the control group， and both groups were intervened for 12 weeks. Dual-energy X-ray absorptiometry was used to measure the bone density of L₁~L₄ vertebrae， bilateral femoral necks and bilateral total hips in the two groups before and after the intervention； enzyme-linked immunosorbent assay was used to determine bone turnover markers before and after the intervention， including pro-collagen type Ⅰ pro-amino-terminal prepropyl peptide （P1NP） and β-collagen type Ⅰ cross-linking carboxy-terminal peptide （β-CTX）. Seven cases with good compliance in the intervention group were selected. After wearing the heart rate sensor， they successively performed Tai Chi training and walking activities recommended by the guideline for 20 mins each， and the heart rate variability （HRV） during exercise was collected， including time-domain indexes such as standard deviation of normal sinus intervals （SDNN）， root-mean-square of the difference between adjacent RR intervals （RMSSD）， frequency-domain metrics such as low-frequency power （LF）， high-frequency power （HF）， and low-frequency/high-frequency power ratio （LF/HF）， as well as nonlinear metrics such as approximate entropy （ApEn）， sample entropy （SampEn）. ResultsFinally， 63 cases were included in the outcome analysis， including 30 cases in the intervention group and 33 cases in the control group. After the intervention， the differences of L₁~L₄ vertebrae， bone density of bilateral femoral neck and bilateral total hip in the intervention group were not statistically significant when compared with those before intervention （P＞0.05）， while the bone density of all parts of the control group decreased significantly compared with that before intervention （P＜0.05）， and the difference in the bone density of the L₁~L₄ vertebrae， bilateral femoral neck， and the right total hip before and after the intervention of the intervention group was smaller than that of the control group （P＜0.05）. The differences in P1NP and β-CTX between groups before and after intervention was not statistically significant （P＞0.05）. Compared with walking exercise， LF decreased， HF increased and LF/HF decreased during Tai Chi exercise （P＜0.05）； the time domain indexes and non-linear indexes between groups had no statistically significant difference （P＞0.05）. ConclusionTai Chi exercise can maintain lumbar， hip， and femoral bone density and improve sympathetic/parasympathetic balance in people at high risk for osteoporosis， but cannot significantly improve bone turnover markers.

ObjectiveTransfer RNA-derived fragments (tRFs) are a recently characterized and rapidly expanding class of small non-coding RNAs, typically ranging from 13 to 50 nucleotides in length. They are derived from mature or precursor tRNA molecules through specific cleavage events and have been implicated in a wide range of cellular processes. Increasing evidence indicates that tRFs play important regulatory roles in gene expression, primarily by interacting with target messenger RNAs (mRNAs) to induce transcript degradation, in a manner partially analogous to microRNAs (miRNAs). However, despite their emerging biological relevance and potential roles in disease mechanisms, there remains a significant lack of computational tools capable of systematically predicting the interaction landscape between tRFs and their target mRNAs. Existing databases often rely on limited interaction features and lack the flexibility to accommodate novel or user-defined tRF sequences. The primary goal of this study was to develop a machine learning based prediction algorithm that enables high-throughput, accurate identification of tRF:mRNA binding events, thereby facilitating the functional analysis of tRF regulatory networks. MethodsWe began by assembling a manually curated dataset of 38 687 experimentally verified tRF:mRNA interaction pairs and extracting seven biologically informed features for each pair: (1) AU content of the binding site, (2) site pairing status, (3) binding region location, (4) number of binding sites per mRNA, (5) length of the longest consecutive complementary stretch, (6) total binding region length, and (7) seed sequence complementarity. Using this dataset and feature set, we trained 4 distinct machine learning classifiers—logistic regression, random forest, decision tree, and a multilayer perceptron (MLP)—to compare their ability to discriminate true interactions from non-interactions. Each model’s performance was evaluated using overall accuracy, receiver operating characteristic (ROC) curves, and the corresponding area under the ROC curve (AUC). The MLP consistently achieved the highest AUC among the four, and was therefore selected as the backbone of our prediction framework, which we named tRF Prospect. For biological validation, we retrieved 3 high-throughput RNA-seq datasets from the gene expression omnibus (GEO) in which individual tRFs were overexpressed: AS-tDR-007333 (GSE184690), tRF-3004b (GSE197091), and tRF-20-S998LO9D (GSE208381). Differential expression analysis of each dataset identified genes downregulated upon tRF overexpression, which we designated as putative targets. We then compared the predictions generated by tRF Prospect against those from three established tools—tRFTar, tRForest, and tRFTarget—by quantifying the number of predicted targets for each tRF and assessing concordance with the experimentally derived gene sets. ResultsThe proposed algorithm achieved high predictive accuracy, with an AUC of 0.934. Functional validation was conducted using transcriptome-wide RNA-seq datasets from cells overexpressing specific tRFs, confirming the model’s ability to accurately predict biologically relevant downregulation of mRNA targets. When benchmarked against established tools such as tRFTar, tRForest, and tRFTarget, tRF Prospect consistently demonstrated superior performance, both in terms of predictive precision and sensitivity, as well as in identifying a higher number of true-positive interactions. Moreover, unlike static databases that are limited to precomputed results, tRF Prospect supports real-time prediction for any user-defined tRF sequence, enhancing its applicability in exploratory and hypothesis-driven research. ConclusionThis study introduces tRF Prospect as a powerful and flexible computational tool for investigating tRF:mRNA interactions. By leveraging the predictive strength of deep learning and incorporating a broad spectrum of interaction-relevant features, it addresses key limitations of existing platforms. Specifically, tRF Prospect: (1) expands the range of detectable tRF and target types; (2) improves prediction accuracy through multilayer perceptron model; and (3) allows for dynamic, user-driven analysis beyond database constraints. Although the current version emphasizes miRNA-like repression mechanisms and faces challenges in accurately capturing 5'UTR-associated binding events, it nonetheless provides a critical foundation for future studies aiming to unravel the complex roles of tRFs in gene regulation, cellular function, and disease pathogenesis.

Objective To investigate the coagulation effect of a cold atmospheric plasma(CAP)jet device with helium as the working gas and to study its coagulation mechanism preliminarily.Methods A CAP jet device treatment group,a helium airflow treatment group,a hot air treatment group(60℃)and a natural coagulation group were formed according to the treatment modes of the blood samples,with 10 μL of blood samples involved in each group,in order to validate the coagulation effect of the CAP jet device in vitro;the coagulation mechanism of the CAP jet device was explored by its application to the treatment of anticoagulated whole blood,platelet-rich plasma and platelet-depleted plasma;the coagulation effect of the CAP jet device in vivo was verified with a mouse liver punctate hemorrhage model and a rabbit mesenteric hemorrhage model.Results The CAP jet device can significantly accelerate the coagulation of anticoagulated blood droplets,and the coagulation time of anticoagulated blood droplets in the CAP jet device-treated group was shortened from 28 min in the natural coagulation group to(23±1.56)s,with the difference statistically significant(P<0.05),and the CAP jet device treatment group gained advantages significantly over the helium airflow treatment group(P<0.05)and the hot air(60℃)treatment group(P<0.05)in coagulation-promoting effect;the procoagulant effect of the CAP jet device rose with the increase of platelet content in blood droplets,and the coagulation effect of platelet-rich blood droplets was significantly better than that of whole blood(P<0.05),while no coagulation was observed in platelet-poor droplets.The CAP jet device could rapidly stop hemostasis of punctate hemorrhage in mouse liver and mesenteric hemorrhage in rabbits without delayed hemorrhage occurring within 10 min,and no obvious structural abnormality of the liver and thermal damage of the tissue were found microscopically.Conclusion The CAP jet device plays procoagulant and hemostatic effects in vivo and in vitro,and its effect is not dependent on temperature and airflow evaporation effects and is considered to be related to platelet activation,with low thermal damage to living tissue.[Chinese Medical Equipment Journal,2025,46(6):20-27]

Objective:Observation of the therapeutic effect of Yugu Ju detergent combined with fusidic acid cream on the repair of wounds infected with Staphylococcus aureus,as well as its impact on serum inflammatory markers TNF-α,IL-6,IL-1β,oxidative stress markers MDA,ROS,SOD and Nrf2 levels.Methods:96 patients with skin defects and SA U infection caused by trauma admitted to the hospital from June 2021 to December 2023 were randomly divided into a control group and an observation group.Both groups were treated with debridement,while the control group was treated with external application of fusidic acid cream.The treatment group received external washing with Yugu Ju detergent in addition to the control group.One course of treatment lasted for 7 days,with three consecutive courses of treatment.Observe the wound healing rate,bacterial clearance rate,and changes in TNF-α,IL-6,IL-1β,SOD,MDA,ROS,and Nrf2 before and after treatment to evaluate clinical efficacy and safety.Results:The total clinical effective rate of the observation group after treatment was 93.75％(45/48),while that of the control group was 75％(36/48).The observation group was significantly better than the control group(P＜0.05);The wound healing rate and bacterial clearance rate of the observation group at each time point after treatment were higher than those of the control group(P＜0.05);After treatment,the Nrf2 and SOD values in the observation group were higher than those in the control group,while the TNF-α,IL-6,IL-1β,MDA,and ROS values were lower than those in the control group(P＜0.05).No adverse reactions occurred during the treatment of both groups.Conclusion:The combination of Yugu Ju detergent and Fusidic acid cream can inhibit SA U and promote the healing of infectious wounds,which may be related to the activation of Nrf2 expression to inhibit oxidative stress and inflammatory response.It is safe and effective,and worthy of promotion and application.

Objective To evaluate the effect of remimazolam on the incidence of postoperative delirium(POD)in elderly lung cancer patients undergoing thoracoscopic surgery.Methods A total of 114 elderly patients who underwent unilateral thoracoscopic lung surgery at the Affiliated Hospital of Xuzhou Medical University from October 2024 to April 2025 were recruited in this trial.Patients were randomly assigned to remimazolam group(group R)and propofol group(group P).Anesthesia induction and maintenance were performed with remimazolam and propofol,respectively.In R group,0.5 mg of flumazenil was intravenously injected at the end of the surgery for specific antagonism.The incidence of delirium and Quality of Recovery-15(QoR-15)scores on the first and third postoperative days were compared between the two groups.Intraoperative hemodynamic parameters,total opi-oid dosage,fluid balance,tracheal tube extubation time after surgery,and the incidence of adverse reactions were recorded.Results There were no statistically significant differences between the groups in the incidence of POD or in QoR-15 scores(P>0.05).Compared with group P,patients in group R had a shorter extubation time(P<0.05),more stable hemodynamics,lower incidences of intra-operative hypotension and bradycardia,and reduced requirement for vasoactive drugs(P<0.05).The consumption of rescue analgesics in the post-anesthesia care unit(PACU)was also lower in group R(P<0.05).No significant differences were observed between the groups in the amounts of sufentanil and remifentanil administered,fluid balance,bispectral index(BIS)values,or the inci-dence of nausea and vomiting(P>0.05).Conclusion In elderly patients undergoing elective thoracoscopic sur-gery,remimazolam-based induction and maintenance of anesthesia did not significantly alter the incidence of POD or compromise postoperative recovery quality compared with propofol.However,the remimazolam group required fewer vasoactive agents and exhibited a shorter tracheal extubation time.

Background and purpose:High-throughput detection of plasma cell-free DNA(cfDNA)is widely used for multi-cancer targeted therapy drug screening,and this study investigated the relationship between the type and number of plasma cfDNA class Ⅰ and Ⅱ targeted therapy-related gene variants and cancer survival in patients with non-small cell lung cancer(NSCLC).Methods:The sequencing results and clinical data of NSCLC patients who underwent tumor plasma cfDNA high-throughput sequencing projects in Sun Yat-sen University Cancer Center from 2021 to 2023 were collected.The survival follow-up of enrolled patients was carried out from the day of plasma collection on June 1,2021 to May 27,2024,and GraphPad Prism 8.0 and SPSS Statistics 25.0 were used.Univariate and multivariate statistical analyses were conducted on the types and numbers of class Ⅰ and class Ⅱ targeted therapy-related genes in the survival and clinical data of patients and sequencing results(Ethical approval:B2024-359-01).Results:A total of 313 patients included in this study with NSCLC were categorized into stage Ⅰ 25 patients(7.98%),stageⅡ 20 patients(6.39%),stage Ⅲ 38patients(12.14%),and stage Ⅳ 230 patients(73.48%).Pathological diagnosis results showed that adenocarcinoma accounted for 90.10%,squamous cell carcinoma accounted for 5.11%,large cell carcinoma accounted for 2.87%and other classifications accounted for 1.92%.The number and the percentage of class Ⅰ and class Ⅱ targeted therapy drug-related genes in the plasma cfDNA NSCLC patients were 0(25.24%),1(17.57%),2(19.17%),3(14.38%),4(8.31%),and 5 or more(15.34%).The results of statistical analysis showed that 3 genes with the highest mutation frequencies were EGFR,TP53 and ERBB2,and the mutation frequency of EGFR gene was 36.04%.The mutation frequency of TP53 gene was 30.63%.The mutation frequency of ERBB2 gene was 4.95%.The survival time of patients is related to not only the expression of hotspot targeted genes,but also the number of class Ⅰ and Ⅱ target-related gene variants detected by plasma cfDNA high-throughput sequencing.The survival time of the patients with no targeted therapy-related locus variants after treatment was longer compares with targeted therapy-related locus variants,which can reduce the risk of death by 63.2%.However,patients with a single gene locus variant had longer survival time and lower risk of death than those with multiple driver locus variants,and the measured class Ⅰ and Ⅱ targeted therapy drugs were within 3 genes.Overall,the smaller the number of genes,the longer the survival.Conclusions:The number of class Ⅰ and class Ⅱtargeted therapy-related gene variants in plasma cfDNA high-throughput sequencing also has an effect on the survival of patients after treatment.Plasma cfDNA level detected by high-throughput sequencing could be a prognostic factor for the NSCLC patients.

Background and purpose:High-throughput detection of plasma cell-free DNA(cfDNA)is widely used for multi-cancer targeted therapy drug screening,and this study investigated the relationship between the type and number of plasma cfDNA class Ⅰ and Ⅱ targeted therapy-related gene variants and cancer survival in patients with non-small cell lung cancer(NSCLC).Methods:The sequencing results and clinical data of NSCLC patients who underwent tumor plasma cfDNA high-throughput sequencing projects in Sun Yat-sen University Cancer Center from 2021 to 2023 were collected.The survival follow-up of enrolled patients was carried out from the day of plasma collection on June 1,2021 to May 27,2024,and GraphPad Prism 8.0 and SPSS Statistics 25.0 were used.Univariate and multivariate statistical analyses were conducted on the types and numbers of class Ⅰ and class Ⅱ targeted therapy-related genes in the survival and clinical data of patients and sequencing results(Ethical approval:B2024-359-01).Results:A total of 313 patients included in this study with NSCLC were categorized into stage Ⅰ 25 patients(7.98%),stageⅡ 20 patients(6.39%),stage Ⅲ 38patients(12.14%),and stage Ⅳ 230 patients(73.48%).Pathological diagnosis results showed that adenocarcinoma accounted for 90.10%,squamous cell carcinoma accounted for 5.11%,large cell carcinoma accounted for 2.87%and other classifications accounted for 1.92%.The number and the percentage of class Ⅰ and class Ⅱ targeted therapy drug-related genes in the plasma cfDNA NSCLC patients were 0(25.24%),1(17.57%),2(19.17%),3(14.38%),4(8.31%),and 5 or more(15.34%).The results of statistical analysis showed that 3 genes with the highest mutation frequencies were EGFR,TP53 and ERBB2,and the mutation frequency of EGFR gene was 36.04%.The mutation frequency of TP53 gene was 30.63%.The mutation frequency of ERBB2 gene was 4.95%.The survival time of patients is related to not only the expression of hotspot targeted genes,but also the number of class Ⅰ and Ⅱ target-related gene variants detected by plasma cfDNA high-throughput sequencing.The survival time of the patients with no targeted therapy-related locus variants after treatment was longer compares with targeted therapy-related locus variants,which can reduce the risk of death by 63.2%.However,patients with a single gene locus variant had longer survival time and lower risk of death than those with multiple driver locus variants,and the measured class Ⅰ and Ⅱ targeted therapy drugs were within 3 genes.Overall,the smaller the number of genes,the longer the survival.Conclusions:The number of class Ⅰ and class Ⅱtargeted therapy-related gene variants in plasma cfDNA high-throughput sequencing also has an effect on the survival of patients after treatment.Plasma cfDNA level detected by high-throughput sequencing could be a prognostic factor for the NSCLC patients.

Objective:To explore the effects of medication interval on the quality of split-dose bowel preparation and analyze the independent risk factors affecting the quality of bowel preparation.Methods:This pilot study involved two centers. Adult outpatients who underwent screening, surveillance, and diagnostic colonoscopy in the First Affiliated Hospital of Naval Medical University ( n=46) and the Fifth Hospital of Zhangjiakou ( n=20) between April and June 2023 were enrolled. Bowel preparation was conducted based on the guideline. Patients were divided into the short-interval group (4-<10 hours, n=45) and the long-interval group (10-16 hours, n=21) based on the time between the two administrations of polyethylene glycol during bowel preparation. Differences in terms of patient-reported outcome measurements (patient-reported willingness to repeat the bowel preparation regimen, satisfaction with bowel preparation, satisfaction with sleep), defecation frequency, Boston bowel preparation scale scores, bowel preparation bubble scores, bowel preparation qualified rates, polyp detection rates and incidence of adverse events were compared. Relevant factors influencing bowel preparation quality were analyzed by univariate logistic regression. Results:There were no significant differences in patient-reported willingness to repeat the bowel preparation regimen [88.9% (40/45) VS 85.7% (18/21), χ2<0.001, P>0.999], the satisfaction with bowel preparation [65.9% (29/45) VS 57.1% (12/21), χ2=0.469, P=0.493], or the satisfaction with sleep quality [35.6% (16/45) VS 28.6% (6/21), χ2=0.314, P=0.575] between the short-interval and long-interval groups. Similarly, no significant differences were observed between the groups in defecation frequency (11.3±4.8 VS 10.2±4.4, t=0.861, P=0.395), Boston bowel preparation scale scores (8.2±1.4 scores VS 7.9±1.2 scores, t=1.024, P=0.311), bowel preparation bubble scores (8.6±1.0 scores VS 8.4±1.5 scores, t=0.672, P=0.506), bowel preparation qualified rates [88.9% (40/45) VS 90.5% (19/21), χ2<0.001, P>0.999], polyp detection rates [33.3% (15/45) VS 47.6% (10/21), χ2=1.242, P=0.265], or incidence of adverse events [24.4% (11/45) VS 14.3% (3/21), χ2=0.381, P=0.537]. Univariate logistic analysis suggested that a low-fiber diet ( OR=8.100, 95% CI:1.400-46.849, P=0.019) was an influencing factor for qualified bowel preparation. Conclusion:Medication interval of the two doses of polyethylene glycol in a split-dose bowel preparation regimen for colonoscopy has no significant impact on bowel preparation quality. Notably, preoperative low-fiber diet emerges as an independent protective factor for qualified bowel preparation.