ObjectiveZheng’s San Qi San (ZSQS) power, a classic traditional Chinese medicine (TCM) formula, is used for treating soft tissue injuries involving muscles, tendons, and ligaments. However, its underlying therapeutic mechanisms remain unclear. This study aimed to screen and identify pharmaceutically active ingredients and their candidate biomolecule targets, and further elucidate the molecular mechanism of ZSQS in the treatment of skeletal muscle injury. MethodsNetwork pharmacology was employed to construct “ZSQS-component-target”, “protein-protein interaction (PPI)” and “active ingredient-core protein-pathway” networks to predict the key active ingredients and potential core targets of ZSQS for skeletal muscle injury. The predicted results were then validated via microarray data from the GEO database. Molecular docking was then performed to assess the binding ability between the screened active ingredients of ZSQS and the candidate core targets. Moreover, liquid chromatography-mass spectrometry (LC-MS) was used for qualitative and quantitative analysis to verify the active components of the drug and ZSQS serum. Finally, an animal model of eccentric exercise-induced skeletal muscle injury and a myotube cell model of oxidative stress-induced injury were established to validate the effects of ZSQS and its interventional effects on the biological functions of critical targets, thereby demonstrating the potential therapeutic mechanism of ZSQS. ResultsAmong the 111 active components identified in ZSQS and their corresponding 204 targets related to the skeletal muscle injury repair process, 14 core targets (including AKT1) and 4 core active components (quercetin, luteolin, kaempferol, and β‑sitosterol) were screened out, while the corresponding metabolites of quercetin, luteolin and kaempferol were detected in the ZSQS serum. Among these targets, 5 candidate genes (IL-6, CASP3, HIF1A, STAT3, and JUN) overlapped with the differential expression screening results with GEO data, and IL-6 was confirmed to be enriched in the PI3K/AKT pathway. Combined with the prediction results of the AKT expression levels, these findings suggest that the phosphorylation level of AKT1 plays a core role in the therapeutic mechanism of ZSQS. Molecular docking analysis further revealed that the PH domain of AKT1 had high binding energy with all 4 core active components, as verified by LC-MS. Finally, animal model studies have shown the promoting effect of ZSQS administration on skeletal muscle injury repair and its possible antioxidant damage mechanism. Cell model studies further demonstrated that ZSQS-containing serum, core active ingredient combination therapy, and quercetin monomer could increase the phosphorylation level of AKT, promote the nuclear translocation of Nrf2, upregulate the expression of downstream antioxidant enzymes (SOD, GPx, and GR), and inhibit the expression of inflammatory factors (IL-6 and TNF-α), thereby alleviating oxidative stress and the inflammatory response. ConclusionZSQS alleviates skeletal muscle injury mainly by activating the AKT/Nrf2 signaling pathway, enhancing cellular antioxidant and anti-inflammatory capabilities. The results of this study provide a scientific basis for the clinical application and modernized development of ZSQS.

Alzheimer disease (AD) diagnosis is confirmed using a medley of modalities, such as the detection of amyloid-β (Aβ) neuritic plaques and neurofibrillary tangles with positron electron tomography (PET) or the appraisal of irregularities in cognitive function with examinations. Although these methods have been efficient in confirming AD pathology, the rising demand for earlier intervention during pathogenesis has led researchers to explore the diagnostic potential of fluid biomarkers in cerebrospinal fluid (CSF) and plasma. Since CSF sample collection is invasive and limited in quantity, biomarker detection in plasma has become more attractive and modern advancements in technology has permitted more efficient and accurate analysis of plasma biomolecules. In this study, we found that a composite of standard factors, Aβ40 and total tau levels in plasma, divided by the variation factor, plasma Aβ42 level, provide better correlation with amyloid neuroimaging and neuropsychological test results than a level comparison between total tau and Aβ42 in plasma. We collected EDTA-treated blood plasma samples of 53 subjects, of randomly selected 27 AD patients and 26 normal cognition (NC) individuals, who received amyloid-PET scans for plaque quantification, and measured plasma levels of Aβ40, Aβ42, and total tau with digital enzyme-linked immunosorbent assay (ELISA) in a blinded manner. There was difficulty distinguishing AD patients from controls when analyzing biomarkers independently. However, significant differentiation was observed between the two groups when comparing individual ratios of total-tau×Aβ40/Aβ42. Our results indicate that collectively comparing fluctuations of these fluid biomarkers could aid in monitoring AD pathogenesis.

Objective To investigate the effect of long non-coding RNA(lncRNA)potassium voltage-gated channel subfamily Q member 1 overlapping transcript 1(KCNQ1OT1)on oxidative glucose deprivation/reoxygenation(OGD/R)-induced microglia injury through regulating the miR-145-5p/Rho-associated coiled-coil forming protein kinase 1(ROCK1)axis.Methods Microglia N9 were divided into the control group(normal culture),the OGD/R group(OGD/R-induced injury),the sh-NC group(transfected with sh-NC after OGD/R-induced injury),the sh-KCNQ1OT1 group(transfected with sh-KCNQ1OT1 after OGD/R-induced injury),the sh-KCNQ1OT1+inhibitor NC group(co-transfected with sh-KCNQ1OT1 and inhibitor NC after OGD/R-induced injury),and the sh-KCNQ1OT1+miR-145-5p inhibitor group(co-transfected with sh-KCNQ1OT1 and miR-145-5p inhibitor after OGD/R-induced injury).RT-qPCR was applied to detect the expression of lncRNA KCNQ1OT1,miR-145-5p,and ROCK1 mRNA in cells.The expression of ROCK1 protein was detected by Western blot.CCK-8 was applied to detect the cell proliferation.Flow cytometry was applied to detect cell apoptosis.ELISA was applied to detect the levels of interleukin-1β(IL-1β),tumor necrosis factor-α(TNF-α),and interleukin-6(IL-6)in cells.The action sites of miR-145-5p with lncRNA KCNQ1OT1 and ROCK1 were predicted by bioinformatics website,and their targeting relationships were verified by dual-luciferase reporter assay.Results Compared with the control group,the expression of lncRNA KCNQ1OT1,the expression of ROCK1 mRNA and protein,the apoptosis rate,and the levels of IL-6,TNF-α,and IL-1β in cells were all increased,and the level of miR-145-5p and cell survival rate were all decreased in the OGD/R group(P<0.05).Compared with the OGD/R group and the sh-NC group,the expression of lncRNA KCNQ1OT1,the expression of ROCK1 mRNA and protein,the apoptosis rate,and the levels of IL-6,TNF-α,and IL-1β in cells were all decreased,and the level of miR-145-5p and cell survival rate were all increased in the sh-KCNQ1OT1 group,with significant differences(P<0.05).Compared with the sh-KCNQ1OT1+inhibitor NC group,the expression of ROCK1 mRNA and protein,the apoptosis rate,and the levels of IL-6,TNF-α,and IL-1β in cells were all increased,and the expression of miR-145-5p and cell survival rate were all decreased in the sh-KCNQ1OT1+miR-145-5p inhibitor group,with significant differences(P<0.05).Bioinformatics website showed that miR-145-5p had targeted action sites with lncRNA KCNQ1OT1 and ROCK1,and dual-luciferase reporter assay confirmed that miR-145-5p had targeting relationships with lncRNA KCNQ1OT1 and ROCK1(P<0.05).Conclusion Silencing lncRNA KCNQ1OT1 can alleviate OGD/R-induced microglia injury via upregulating the expression of miR-145-5p and targeting the down-regulation of ROCK1 expression.

Objective To evaluate the diagnostic performance of the minimum-cost-path-based CT angiography-derived fractional flow reserve(MCP-FFR)and the deep learning-driven CT angiography-derived fractional flow reserve(DeepCL-FFR),and to particularly explore the potential value of the DeepCL algorithm in improving diagnostic accuracy within the"gray zone."Methods A retrospective analysis was conducted on 151 coronary vessels from 109 patients with coronary artery disease,who were hospitalized at the General Hospital of the People's Liberation Army between January 2020 and June 2021.Pearson correlation and Bland-Altman plots were employed to assess the correlation and agreement of the two CT-FFR methods with invasive FFR.A CT-FFR range of 0.70-0.80 was defined as the diagnostic"gray zone."The accuracy,sensitivity,specificity,positive predictive value,and negative predictive value for detecting hemodynamic abnormalities were calculated and analyzed.The DeLong test was used to compare the areas under the receiver operating characteristic curves(AUC)between the two CT-FFR calculation methods.Results Both CT-FFR methods exhibited a positive correlation with invasive FFR(MCP-FFR:r=0.75,P＜0.001;DeepCL-FFR:r=0.86,P＜0.001)and showed good agreement(MCP-FFR:mean difference=0.010,P=0.351;DeepCL-FFR:mean difference=-0.003,P=0.772).Both DeepCL-FFR(AUC 0.97,95％CI 0.94-0.99)and MCP-FFR(AUC 0.92,95％CI 0.88-0.97)demonstrated favorable diagnostic performance for detecting hemodynamic abnormalities(P=0.122).In the"gray zone"for hemodynamic abnormality,the diagnostic accuracy of MCP-FFR was 68.8％,whereas DeepCL-FFR increased it to 89.7％.DeepCL-FFR also exhibited superior diagnostic performance(AUC 0.89,95％CI 0.73-0.99)within the"gray zone,"which was significantly higher than that of MCP-FFR(AUC 0.71,95％CI 0.54-0.87)(P＜0.001).Conclusions The deep learning-driven coronary centerline extraction algorithm,DeepCL,demonstrates superior diagnostic performance in CT-FFR for detecting hemodynamic abnormalities,particularly by significantly improving diagnostic accuracy in the"gray zone."

Objective To develop a novel type of transparent simulation manikin as a surgical training model to meet the surgical treatment demand on the medical train.Methods A transparent manikin was developed with the steps of basic data collection,motherboard design and manufacture and module production and assembly.Firstly,basic data collection was carried out with reference to standardized human anatomy and parameters.Secondly,some software such as UG NX7.5 was used to construct the motherboard of the manikin.Finally,module production and assembly were performed with the materials of acrylic,transparent rubber,silicone and hydrogel and the technology of silicone infusion.Results The transparent manikin developed had its anatomy structure close to that of the real body and high visuality for its internal and external components,which simulated a variety of war wounds and thus could be integrated with the surgical training scenarios on the medical train effectively.Conclusion The transparent manikin developed is characterized by high visuality,modularity and blood flow,and meets the demands for surgical training on the medical train.[Chinese Medical Equipment Journal,2025,46(6):111-115]

The telomere structure in the cell nucleus is crucial for maintaining the stability and functions of chromosomes.Telomerase is a ribonucleoprotein reverse transcriptase,which catalyzes the elongation of telomeres using its own RNA as a template,thereby counteracting the shortening of telomeres caused by chromosome replication and cell division.Due to its overexpression in over 85％of malignant tumor cells,telomerase has emerged as a highly promising biomarker and a novel target for cancer therapy.In recent years,given the importance of precise quantification of telomerase activity in guiding medical diagnosis and treatment strategies,researchers have developed various high-performance telomerase detection techniques.Among these,electrochemical biosensing technique has cause much attention due to its high sensitivity,operational convenience,rapid response,and ease of miniaturization.This paper focused on the latest advances in electrochemical sensing technique for detection of telomerase activity,aiming to provide inspiration for designing novel telomerase activity detection strategies by elucidating three unique properties of telomerase primer extension products.

OBJECTIVE To investigate the distribution and drug resistance of multidrug-resistant bacteria in the neonatal intensive care unit of a three-A children's hospital in Henan Province,and to provide reference for ational drug use in clinical practice.METHODS Clinical specimens from hospitalized newborns in neonatal intensive care unit from a three-A children's hospital from Jan.1,2019 to Dec.31,2023 were subjected to etiological exam-ination and drug sensitivity test,and to analyze the distribution and drug resistance of multidrug-resistant bacteri-a in hospitalized newborns.RESULTS During the 5-year period,1139 strains of multidrug-resistant bacteria were i-solated,including 229 gram-positive bacteria(20.11％)and 910 gram-negative bacteria(79.89％).There were 92 strains of methicillin-resistant Staphylococcus aureus(MRSA)(accounting for 8.08％),57 strains(accounting for 5.00％)of methicillin-resistant coagulase-negative Staphylococcus epidermidis and 28 strains(accounting for 2.46％)of methicillin-resistant coagulase-negative human Staphylococcus.370 strains(accounting for 32.48)of carbapenem-resistant Klebsiella pneumoniae(CRKP),268 strains(accounting for 23.53％)of extenspectrum β-lactamase-producing Escherichia coli and 85 strains(accounting for 7.46％)of K.pneumoniae,there were 767 sputum specimens(67.34％),160 blood specimens from peripheral intravenous puncture and central venous cath-eterization(PICC)(14.05％),63 bronchoalveolar lavage fluid specimens(5.53％),29 secretion specimens(eye and wound secretions)(2.54％),and 120 other specimens(10.54％).K.pneumoniae and E.coli producing su-per-broad spectrum β-lactamase,CRKP and MRSA were the main drug-resistant bacteria.CONCLUSION The sit-uation of drug resistance in neonatal intensive care unit is serious,therefore monitoring bacterial resistance should be strengthened according to the clinical laboratory results,and antibiotics should be applied rationally.

Objective:To analyze the HIV antibody positivity of new type drug users in drug abuse monitoring sites in Zhejiang Province from 2017 to 2023 and its influencing factors.Methods:From 2017 to 2023, a continuous cross-sectional survey was carried out in HIV monitoring posts among new type drug users in Zhejiang Province,the sample size was 400 people per site of 9 drug abuse surveillance sites in 7 cities. Questionnaires were conducted to investigate their social demographic information, related behavioral information, AIDS awareness, and acceptance of intervention measures, and blood was collected for HIV and syphilis antibody detection, with new type drugs users in the monitoring population as the research object. SPSS 22.0 software was used for statistical analysis.Results:A total of 13 955 new drug users were surveyed, and the number of new drug users was 2 518, 2 292, 2 526, 2 119, 2 161, 1 064 and 1 275 from 2017 to 2023, respectively, the HIV antibody positive rate of new type drugs users was 0.44%, 1.09%, 2.06%, 1.09%, 1.39%, 1.50%, 2.90%, respectively, and the HIV antibody positive standardized rate showed an increasing trend (all P<0.001). The results of multivariate logistic regression analysis showed that marital status: unmarried/divorced/widowed (a OR=3.92, 95% CI: 2.46-6.25), provincial household registration (a OR=3.54, 95% CI: 2.34-5.35), high school education or above (a OR=5.42, 95% CI: 3.68-7.98), sexual activity within the last 1 year after drug use (a OR=1.84, 95% CI: 1.19-2.84), and knowledge that the use of new drugs increases the risk of HIV infection (a OR=2.27, 95% CI: 1.17-4.39) were associated with increased HIV antibody favorable rates among new type drugs users. Conclusions:During 2017-2023, the HIV antibody-positive rate of new type drug users in Zhejiang Province showed an upward trend. It is necessary to strengthen the monitoring and intervention of this population.

Objectives:To understand the awareness of HIV pre-exposure prophylaxis and post-exposure prophylaxis (PrEP/PEP) and related factors among female sex workers (FSWs) in Zhejiang Province to provide a reference for promoting PrEP/PEP.Methods:From April to July 2023, a questionnaire survey was conducted at the surveillance posts of prostitutes in 17 counties (cities and districts) in Zhejiang Province. The sample size of each post was at least 400 FSWs, and the information on social demography, sexual behavior, AIDS knowledge, prevention services, and detection were collected.Results:A total of 6 899 FSWs were surveyed. Most of them were ≥30 years old (57.7%), had secondary school education or below (61.8%), and had worked locally for ≥12 months (52.6%). The prevalence of HIV PrEP and PEP awareness among FSWs was 52.0% (3 589/6 899) and 58.6% (4 045/6 899), respectively. Multivariate logistic regression analysis showed that the negative related factors of awareness of PrEP/PEP among FSWs included age ≥30 years, local working time <6 months, and condom use during commercial sex in the last 1 month. The positive related factors of awareness of PrEP/PEP among FSWs included marital status was married or cohabiting, aware of HIV/AIDS knowledge, working in medium or high-end venues, finding clients primarily online in the past 6 months, receiving HIV prevention services in the past year, and having self-tested for HIV in the past year.Conclusions:The overall awareness of PrEP/PEP was relatively low among FSWs in Zhejiang Province. Efforts should be made to strengthen the publicity and education of PrEP/PEP, especially for those who are older and more mobile and working in low-end venues, combined with HIV prevention services to increase the use of PrEP/PEP.

Generative artificial intelligence (GAI) represents a prominent research focus in medicine, with medical education being a key application area. GAI demonstrates potential to enhance residency training efficacy through personalized instruction, automated assessment item generation, question bank updating, and intelligent scoring systems. However, current limitations exist regarding output accuracy and content consistency. To address these constraints, strategic measures are required: continuous GAI model refinement, development of standardized usage guidelines, enhanced data quality control, and implementation of human verification protocols for generated content. Concurrently, residents should proactively acquire GAI utilization skills to strengthen the practical application of theoretical knowledge. With these advancements, GAI is anticipated to evolve into a valuable asset for improving the efficiency and quality of residency training programs.