ObjectiveTo evaluate the detection specificity for clinical samples and the detection capability for standard substances of five commercially available multiplex polymerase chain reaction (PCR) nucleic acid detection kits (hereinafter referred to as the kits) for respiratory pathogens, and to provide a reference for selecting appropriate detection kits for multi-pathogen nucleic acid testing of respiratory infections. MethodsA total of 60 respiratory pathogen-positive clinical samples with known redults were selected and tested using the five kits (labeled as A, B, C, D, and E). The detection rates and Kappa coefficients were calculated to evaluate the consistency between the results from these kits and those from single-pathogen PCR kits. According to the limit of detection (LOD) provided by the kits, standard substances of respiratory pathogens (including 12 types such as influenza virus, Mycoplasma pneumoniae, and Bordetella pertussis) were diluted to four concentrations (250, 500, 1 000, and 2 000 copies·mL⁻¹). All five kits were used for detection to evaluate their respective detection capabilities. ResultsCompared with the results from single-pathogen PCR kits, the five tested kits demonstrated good consistency (all Kappa >0.80). Among them, Kit A had the highest detection rate (100.00%), followed by Kits C and E (98.33%), and then Kits B and D (95.00%). All five kits showed a relatively low false negative rate (FNR) for samples with a cycle threshold (Ct) value ≤35 (≤2.38%). However, for samples with Ct values>35, the FNR increased accordingly(average FNR=6.67%, P=0.029). Kit C exhibited the highest detection sensitivity for the tested standard substances (average LOD: 458.33 copies·mL⁻¹), followed by Kit D, then Kits A/E, and finally Kit B. ConclusionThe five multiplex PCR kits showed good consistency with single-pathogen detection results, but each had its own performance emphasis. Kit A, with the highest detection rate and high throughput, is suitable for targeted viral screening. Kit B, covering the broadest pathogen spectrum (including fungi/bacteria), is suitable for comprehensive respiratory pathogen screening. Kits C, D and E, are applicable for rapid detection. It is important to note that the detection efficacy of all kits decreases for low viral load samples with Ct values >35. In practical application, selection should be based on specific screening objectives, throughput requirements, and sample types.

ObjectiveTo prepare a recombinant PETase with a dual-catalytic-triad and to evaluate its efficiency in the biodegradation of polyethylene terephthalate （PET）. MethodsBased on the crystal structure of wild-type PETase， point mutations （T88H/L117D） were introduced via site-directed mutagenesis. The recombinant protein was prepared using prokaryotic expression and chromatography purification techniques. The enzymatic hydrolysis of the mutant PETase was assessed by relatively quantifying the products mono （2-hydroxyethyl） terephthalate （MHET） and terephthalic acid （TPA）. ResultsBoth wild-type and mutant PETases accumulated as inclusion bodies， accounting for approximately 20% of the total bacterial protein. After solubilization in urea， the proteins were eluted at 300 mmol/L imidazole during affinity chromatography purification， with concentrations of 1.824 and 1.833 mg/mL and purities of 83.11% and 84.32%， respectively. Subsequent anion-exchange chromatography yielded highly pure enzymes in the 200 mmol/L NaCl fraction： 2.776 mg/mL （96.86% purity） for the wild type and 1.967 mg/mL （95.13% purity） for the mutant. Following refolding， the final concentrations were 0.484 mg/mL for the wild type and 0.991 mg/mL for the mutant. Hydrolysis assays revealed that the mutant released MHET and TPA at （237.67±17.00）% and （197.33±12.01）% of the wild-type levels， respectively. ConclusionThe T88H/L117D dual-catalytic-triad PETase is successfully prepared and it significantly enhanced PET-degrading activity， thus， it′s a promising biocatalyst for PET bioremediation.

OBJECTIVE: To observe the clinical efficacy of acupuncture based on "status-target coherence" theory combined with Kegel exercises for vaginal laxity syndrome (VLS). METHODS: Sixty-six patients with VLS were randomized into an observation group (33 cases, 2 cases dropped out, 1 case was discontinued) and a control group (33 cases, 5 cases dropped out). The observation group was treated with acupuncture combined with Kegel exercises, acupuncture was applied to bilateral Ciliao (BL32), Zhongliao (BL33), Sanyinjiao (SP6), etc. The control group was treated with Kegel exercises. Both acupuncture and Kegel exercises were performed once every other day, three times a week for 12 weeks. Before and after treatment, the vaginal laxity questionnaire (VLQ) score, pelvic floor muscle strength (vaginal resting pressure, vaginal systolic pressure, vaginal contraction duration), degree of vaginal laxity and sexual satisfaction questionnaire (SSQ) grade were observed in both groups. RESULTS: After treatment, the VLQ score, vaginal resting pressure, vaginal systolic pressure, vaginal contraction duration in the observation group were elevated compared with those before treatment (P<0.05), and SSQ grade was improved (P<0.05); and the above indexes in the observation group were better than those in the control group (P<0.05). There were no significant difference before and after treatment in the degree of vaginal laxity in the two groups (P>0.05). CONCLUSION Acupuncture based on "status-target coherence" theory combined with Kegel exercises can effectively enhance the strength of pelvic floor muscles, improve the symptoms of vaginal laxity, and improve the satisfaction of sexual life, and its therapeutic effect is better than Kegel exercises alone.
Humans ; Female ; Adult ; Vagina/physiopathology* ; Acupuncture Therapy ; Exercise Therapy ; Young Adult ; Middle Aged ; Treatment Outcome ; Acupuncture Points ; Combined Modality Therapy ; Vaginal Diseases/therapy*

Objective To explore the effects of long non-coding RNA LINC01772 on cell cycle,apoptosis and radiotherapy sensitivity of A549.Methods A549 cells were resuscitated and cultured for experimental pur-pose.The effects of LINC01772 knockdown on cell viability,cell cycle progression,and apoptosis were assessed using CCK-8 assays and flow cytometry,and apoptosis-related proteins were analyzed using western blotting.CCK-8 and clonogenic assays were used to measure the changes in the sensitivity of A549 cells to radiotherapy following various radiation doses,and flow cytometry to examine alterations in the cell cycle and apoptosis post-radiation treatment.Results Following lentiviral transfection that reduced LINC01772 levels in A549 cells,a significant decrease in cell viability(P<0.01)was observed alongside an increase in apoptosis(P<0.01).Notably,expres-sions of Bad and Cleaved Caspase-3 were significantly elevated(P<0.01),while Bcl-2 expression was markedly decreased(P<0.01).After exposure to different radiation doses,a dose-dependent reduction in A549 cell viability was noted(P<0.01),accompanied by a significant impairment of clonogenic ability(P<0.01),G2/M phase arrest within the cell cycle(P<0.01),and an increased incidence of apoptosis(P<0.01).Conclusion Inhibiting long non-coding RNA LINC01772 expression substantially diminishes cellular viability in A549 cells,enhances apoptotic processes,disrupts their cycling mechanisms,and augments their sensitivity to radiotherapy,suggesting that this non-coding RNA may serve as a potential target for enhancing lung cancer radiotherapy.

Blood cell morphology examination is the foundation and important means of diagnosing blood diseases. Artificial intelligence (AI) assisted blood cell morphology examination compensates for the shortcomings of artificial microscopy in the early detection and diagnosis of blood diseases,improves diagnostic efficiency,accuracy,and sensitivity,greatly reduces labor and time costs,significantly improves medical quality,and promotes personalized health care. Traditional manual microscopy is still the standard method in clinical practice in China. In order to encourage the improvement and development of intelligence-assisted blood cell morphology examination,this article discusses the current situation and characteristics of intelligence-assisted blood cell morphology examination. Considering the standardization,database,and ethical issues of automated blood cell morphology analysis,some challenges and limitations are summarized and analyzed,which can support the diagnosis of blood diseases and assist researchers and clinical doctors in the future.

Objective To propose a lead attention network-based ST-T change recognition algorithm to detect ECG ST-T changes accurately.Methods Firstly,heartbeat signals were extracted through R-wave localization,and a 12-lead heartbeat matrix was generated by correlation-based screening and merging to realize data augmentation.Secondly,a lead attention module was constructed by combining depthwise convolution(DWConv)with the channel attention squeeze-and-excitation block(SE-block)structure to perceive the differences in ST-T status among electrocardiogram leads.Thirdly,the mapping output by two independent attention modules was fused and splicing with the original signal residual was carried out,so that attention information extraction and original information transfer were enhanced effectively.Finally,SE-ResNet was used as the backbone network to extract signal features to complete the classification and identification of ST-T changes.To validate the recognition performance of the proposed algorithm for ST-T changes in ECG,the 12-lead ECG data of 97 472 patients containing different ECG rhythms were collected for ablation and comparison experiments at the First Affiliated Hospital of Army Medical University.Results The proposed algorithm achieved an AUC of 0.965 with a sensitivity of 90.51%,specificity of 90.23%,positive predictive value of 89.24%and overall accuracy of 90.36%on an independent test set.Comparative analysis demonstrated superior performance to four benchmark architectures,including VGG16,ResNet18,MobileNetV3-Small and ShuffleNet,in terms of both classification accuracy and computational efficiency.Conclusion The algorithm designed can accurately detect ST-T changes and can be used for wearable ECG automatic analysis to assist in the early warning of cardiovascular diseases in both acute and chronic patients and highland residents.[Chinese Medical Equipment Journal,2025,46(7):1-11]

Ankylosing spondylitis(AS)is a chronic autoimmune disease characterized by inflammatory involvement of the axial skeleton and pathological bone formation.The T helper 17 cell(Th17 cell)subset of lym-phocytes plays a central role in mediating the inflammatory processes associated with AS.This review summarizes recent advances in the regulation of Th17 cell differentiation in AS,with a focus on the complex mechanisms governed by cytokine microenvironments,transcription factor networks,and metabolic and epigenetic regulatory pathways.Key regulatory components discussed include the IL-23/STAT3 signaling axis,the CCL20/CCR6 chemo-tactic axis,and the master transcription factor RORγt.Additionally,this review critically evaluates emerging thera-peutic strategies targeting metabolic reprogramming(e.g.,PKM2),epigenetic regulators(e.g.,JMJD3,EZH2),engineered exosome delivery systems,and modulators of metabolic enzymes.By analyzing the limitations of current treatment approaches,the review proposes future research directions emphasizing multi-target therapeutic strategies and highlights the importance of personalized medicine in achieving precise and effective treatment for AS.These developments reveal promising new avenues for modulating Th17-mediated immunity,offering transformative poten-tial for the clinical management of AS.

Objective Based on the US Food and Drug Administration(FDA)adverse event Reporting System(FAERS),to explore the signal of adverse events of basiliximab in solid organ transplantation,and to provide reference for its clinical safety.Methods The adverse drug event(ADE)signals of basiliximab in solid organ transplantation from the first quarter of 2004 to the second quarter of 2024 were retrospectively analyzed in the FAERS database of the FDA.The reporting odds ratio(ROR)method and Bayesian confidence propagation neural network(BCPNN)method were used for signal mining.Results A total of 1,581 ADE reports related to the use of basiliximab were obtained,involving 27 system/organ classifications.A total of 460 ADE signals were identified.The top 5 PT signals in terms of report frequency were mainly elevated serum creatinine,fever,cytomegalovirus infection,decreased hemoglobin,and decreased lymphocyte count.The top 5 PT signals in terms of signal intensity were mainly cytomegalovirus infection,elevated serum creatinine,decreased lymphocyte count,increased neutrophil count,and thrombotic microangiopathy.New ADE signals identified included decreased lymphocyte count,thrombotic microangiopathy,eye organ diseases,Kaposi's sarcoma,elevated blood lactate dehydrogenase,elevated transaminases,and shock.Conclusion Data mining using FAERS database is helpful to find new ADE signals of basiliximab in solid organ transplantation.Clinicians should focus on new severe ADE signals such as coagulation function,ocular organ diseases,elevated transaminase,shock and so on.

Extremely unbalanced data refers to datasets with independent or dependent variables showing severe imbalances in proportions, which might lead to deviation of classical test statistics from theoretical distribution and difficulties in controlling type Ⅰ error. The increased availability of genome-wide resources from large population cohorts has highlighted the growing demand for efficient and accurate statistical methods for the process of extremely unbalanced data to improve the development of genetic statistical methods. This paper introduces two widely used correction methods in current genome-wide association study for extremely unbalanced data, i.e. Firth correction and saddle point approximation, describes their effectiveness in controlling type Ⅰ errors confirmed by simulation experiments, finally, and summarizes the commonly used software for extremely unbalanced genomic data to provide theoretical reference and suggestion for its application for the statistical analysis on extremely unbalanced data in future.

Physical training-associated exertional heat stroke (EHS) is a highly lethal training injury in which early acute stress can lead to multiple organ damage in patients. This paper reviews the progress of research on physical training-related EHS onset and prognostic risk factors, and cooling techniques. Risk factors for the onset of physical training-associated EHS mainly include environment, body size, demographic characteristics, health status, and subject factors, and prognostic risk factors mainly involve systemic inflammatory response syndrome, central nervous system dysfunction, impaired intestinal function, coagulation disorders, rhabdomyolysis, myocardial injury, and hepatic impairment. Cooling techniques mainly include target temperature management, water bath immersion, ice sheet cooling, continuous renal replacement therapy and so on, which need to be applied comprehensively according to site conditions and patient characteristics.