The Split-Cre system consists of two inactive polypeptides: NCre and CCre, which can be recombined into an active full-length Cre under certain conditions. This system is typically used with LoxP. To develop an efficient Split-Cre system, this study used Rma intein from Rhodothermus marinus to split Cre and screened out the split site S102 which could efficiently mediate the recombination of Cre in the "Traffic Light" reporter cell line. Moreover, the S102 Split-Cre system was delivered to mice by dual-adeno-associated virus (AAV), and it was demonstrated that the efficiency of the Rma intein-mediated S102 Split-Cre system was comparable to the full-length Cre in mice. This system lays a foundation for both basic and applied research on Split-Cre.
Inteins/genetics* ; Animals ; Integrases/biosynthesis* ; Mice ; Dependovirus/metabolism* ; Bacterial Proteins/genetics* ; Recombination, Genetic ; Humans

ObjectiveTo analyze the evolutionary characteristics and genetic variations of the HA (hemagglutinin) and NA (neuraminidase) genes of influenza A(H1N1) viruses in Shanghai during 2024, to investigate their transmission patterns, and to evaluate their potential impact on vaccine effectiveness. MethodsFrom January to October 2024, throat swab specimens were collected from influenza like illness (ILI) patients at 4 hospitals in Shanghai. Real-time fluorescence ploymerase chain reaction (RT-PCR) was used for virus detection and isolation of H1N1 influenza viruses. Forty influenza A(H1N1) virus strains were sequenced using Illumina NovaSeq 6000 platform, followed by phylogenetic analyses, genetic distance analysis, and amino acid variation analyses of HA and NA genes. ResultsPhylogenetic tree of the HA and NA genes revealed that the 40 influenza A(H1N1) virus strains circulating in Shanghai in 2024 exhibited no significant geographic clustering, with a broad origin of strains and complex transmission chains. Genetic distance analyses demonstrated that the average intra-group genetic distances of HA and NA genes among the Shanghai strains were 0.005 1±0.000 6 and 0.004 6±0.000 6, respectively, which were comparable to or higher than those observed in global surveillance strains. Both HA and NA genes displayed frequent mutations. Compared to the 2023‒2024 and 2024‒2025 Northern Hemisphere A(H1N1) vaccine strains (WHO-recommended), the HA proteins of 40 Shanghai strains exhibited amino acid substitutions at positions 120, 137, 142, 169, 216, 223, 260, 277, 356 and 451, with critical mutations at positions 137 and 142 located within the Ca2 antigenic determinant. Furthermore, mutations in the NA protein were observed at positions 13, 50, 200, 257, 264, 339 and 382. ConclusionThe genetic background of the 2024 Shanghai influenza A(H1N1) virus strains is complex and diverse, and antigenic variation may affect vaccine effectiveness. Therefore, it is recommended to enhance genomic surveillance of influenza viruses, evaluate vaccine suitability, and implement more targeted prevention and control strategies against imported influenza viruses.

OBJECTIVES: To compare the efficacy of transcatheter tricuspid valve replacement (TTVR) using Lux-Valve and Lux-Valve Plus in patients with severe tricuspid regurgitation. METHODS: A total of 28 consecutive patients with severe tricuspid regurgitation who underwent TTVR with Lux-Valve (n=14) or Lux-Valve Plus (n=14) in the First Affiliated Hospital of the Air Force Medical University from August 2019 to November 2023 were enrolled. Transthoracic echocardiography was performed in all patients before and 6 months after the TTVR. The ultrasound indexes were compared before and 6 months after the TTVR in all patients and between Lux-Valve and Lux-Valve Plus groups. RESULTS: Compared with the Lux-Valve group, the Lux-Valve Plus group showed significantly reduced intraoperative bleeding and shorter postoperative hospital stays (both P<0.05). Six months after the TTVR, none of the patients exhibited more than a mild tricuspid valve regurgitation, and none of the patients had moderate or above perivalvular leakage except for one patient in the Lux-Valve Plus group who had a separation of the clamping member from the anterior tricuspid leaflet. The incidence of perivalvular leakage was significantly lower in the Lux-Valve Plus group (14.29%, 2/14) than in the Lux-Valve group (64.29%, 9/14, P<0.05). At 6 months after operation, the right chamber volume and right ventricle middle transverse diameter were reduced (both P<0.05); the peak blood flow velocity across the tricuspid valve, peak pressure gradient across the tricuspid valve, mean blood flow velocity of tricuspid valve, mean pressure gradient across the tricuspid valve and velocity time integral were increased in both groups (all P<0.05).Compared with the Lux-Valve group, the Lux-Valve Plus group showed higher left ventricular ejection fraction at 6 months postoperatively (P<0.05), while the rest of the indicators were not statistically different (all P>0.05). CONCLUSIONS The efficacy of using Lux-Valve and Lux-Valve Plus for TTVR in patients with severe tricuspid regurgitation is comparable. Six months after the TTVR, the right side of the heart has undergone reverse remodeling.While Lux-Valve Plus offers greater minimally invasive benefits, valve selection should consider device-specific characteristics and differences in individual patients.
Humans ; Tricuspid Valve Insufficiency/surgery* ; Male ; Female ; Heart Valve Prosthesis Implantation/methods* ; Middle Aged ; Aged ; Tricuspid Valve/surgery* ; Heart Valve Prosthesis ; Treatment Outcome ; Echocardiography ; Adult ; Cardiac Catheterization/methods*

Objective:To apply quality function deployment(QFD)method to formulate management strategy for usage quality of medical equipment,so as to provide a reference for ensuring the safety of using medical equipment.Methods:A questionnaire about the guarantee for the requirement of usage quality of medical equipment was designed,so as to obtain the information of the users of clinical department of The Affiliated Xinghua Hospital to Kangda College of Nanjing Medical University for the requirement of usage quality of medical equipment in using medical equipment from February to April 2024,and confirm the important degree of the requirement.Then,the QFD method was adopted to convert the requirements of users for medical equipment to the required technical indicators of guaranteeing usage quality of medical equipment,and the priority technical guarantee measures of the important degree were quantitatively obtained.Results:A total of 478 questionnaires were issued,and 442 valid questionnaires were retrieved,and the valid recovery rate of questionnaire was 92.47%.The questionnaire identified and analyzed 12 requirements of three dimensions of users in using medical equipment,and they were converted to the top six technical guarantee measures of the strategy of quality management of using medical equipment,which included equipment function,criticality of equipment mission,type of service provider,compliance of rules and regulations,requirements of maintenance,and service life.Conclusion:QFD method can help medical engineering department to establish a management system of usage quality with quantitative analysis for medical equipment,and enhance the management level for the quality of medical equipment in medical institutions,and realize maximize benefit of medical equipment.

Objective To investigate the drug-drug interaction between donepezil hydrochloride and moxifloxacin hydrochloride during combined administration through in vitro liver microsomal metabolism and changes in pharmacokinetic characteristics in rats.Methods A rat liver microsomal incubation system was constructed and optimized.Liquid chromatography-tandem mass spectrometry(LC-MS/MS)analysis of donepezil hydrochloride and high-performance liquid chromatography(HPLC)analysis of moxifloxacin hydro-chloride were performed.The pharmacokinetic and metabolic characteristics of the two drugs,alone and in combination,were compared in vitro using rat liver microsomes and in vivo using rats.Results In the liver microsomal system,the half-life(T1/2)of donepezil hydro-chloride in the combined administration 1 group was prolonged by 29.892％(P＜0.01)and the intrinsic clearance(CLint)was reduced by 23.194％(P＜0.01)compared with the donepezil hydrochloride group.Conversely,the metabolic parameters of moxifloxacin hydrochlo-ride in the combined administration 2 group did not differ significantly from that of the moxifloxacin hydrochloride group(P＞0.05).In the in vivo study,the AUC0～t and AUC0～∞ of donepezil hydrochloride in the combined administration 1 group increased by 44.259％and 44.496％,respectively,maximum plasma concentration(Cmax)increased by 117.723％,T1/2 was prolonged by 98.063％,and CLint was reduced by 35.293％,compared with that in the donepezil hydrochloride group.Moreover,the differences were all statistically significant(P＜0.05).The in vivo study findings were consistent with the results of the in vitro study.Conclusion A drug-drug interaction occurs when moxifloxacin hydrochloride is used in combination with donepezil hydrochloride.Moxifloxacin hydrochloride promotes the absorption of donepezil hydrochloride,inhibits its metabolism,slows its CLint,and increases donepezil exposure in the body.

Objective To investigate the distribution of plantar pressures and bone stresses of the foot with high,normal and low arch morphologies,and reveal the influence of arch morphology on foot biomechanical properties.Methods A total of 127 young females were recruited.The foot type was classified by collecting the morphological data of the foot with the three-dimensional(3D)foot scanner,and three types of the foot arch morphology were selected for analysis.The geometric model of foot bone was obtained by CT scanning,so as to establish the biomechanical finite element model of the foot.A load of 50％human body weight was applied to the model to simulate the state of bipedal standing.Results The calculated plantar contact area was compared with the measured results,and the relative error values were smaller than 10％,which proved the validity of the finite element model.The peak plantar pressure under three types of arch morphologies was located in the hind foot region,and the heel pressure of high-and low-arched foot was higher than that of normal-arched foot.Compared with normal-arched foot,high-arched foot showed a significant increase in stress in the hind foot area,the peak stress of soft tissues was 299.45％higher,and the peak bone stress was 93.19％higher.For low-arched foot,the plantar contact area increased by 13.28％and calcaneal stress increased by 98.09％.The peak bone stresses of high-,normal-and low-arched foot were located at the talus,which were 9.903,19.921 and 36.308 MPa,respectively.Conclusions This study supports the association between abnormal arch morphology,foot pain and foot diseases,and provides a basis and direction for the design of orthopedic insoles and arch support structures for abnormal feet.

Objective To identify key acoustic features associated with the progression of Alzheimer's disease(AD)through voice analysis combined with machine learning and feature selection techniques,thereby constructing classification models that serve as candidate tools for the early screening of AD.Methods Voice samples from AD,mild cognitive impairment(MCI)and healthy(HC)elderly individuals were obtained from the NCMMSC2021 AD voice dataset.The voice samples underwent data preprocessing,followed by feature extraction from the eGeMAPS feature set via the OpenSmile toolkit.Classification models were obtained utilizing random forest and support vector machine(SVM)algorithms.Significance testing and feature importance ranking were conducted using Python,and the further selection of the optimal features was performed through sequential forward selection(SFS).The classification performance before and after feature selection was compared and evaluated using accuracy and the area under the receiver operating characteristic curve(AUC).Results The significant acoustic features in the classification models primarily derived from spectral slope,formant,fundamental frequency,and loudness.The optimal classification performance was achieved with the SVM model following SFS feature selection,with recognition accuracies of 0.926(AUC=0.974)for AD/MCI group,0.875(AUC=0.956)for AD/HC group,and 0.879(AUC=0.904)for MCI/HC group.Conclusion SVM model performs better than random forest model,and the use of SFS for feature selection can effectively enhance model performance.Voice analysis has the potential to serve as a valuable supplementary tool for the rapid AD assessment and screening.

To address the problem of data silos in dental specialties caused by equipment heterogeneity, this study developed an Intelligent Internet of Things (IoT)-enabled dental chair platform (hereinafter referred to as the intelligent platform) based on the concept of medical-engineering integration. The platform adopts a three-tier chair-domain interconnection architecture: the bottom tier integrates multi-source sensors and standardized interfaces for automated data acquisition and linkage with hospital information systems; the middle tier provides clinic-level management and remote teaching collaboration; and the top tier employs a blockchain-based secure cloud database for resource allocation and data management. Clinical validation at The Affiliated Stomatological Hospital of Nanjing Medical University demonstrated that, compared with a control group from the same period in 2023, the trial group achieved a 38.0% increase in average daily patient visits (80.6±6.8 vs. 58.4±5.2, t=15.16, P<0.001), a 24.6% reduction in average treatment time [(36.1±6.3) min vs. (47.9±8.5) min, t=7.72, P<0.001], a 39.2% reduction in waiting time [23.3 (16.5, 30.1) min vs. 38.3 (28.3, 48.3) min, U=32.00, P<0.001], a 30.4% reduction in equipment idle rate [8.7% (5.1%, 12.3%) vs. 12.5% (7.4%, 17.6%), U=251.00, P=0.003], and an increase in patient satisfaction from 88.2% (1 519/1 723) to 94.3% (2 186/2 318) ( t=7.26, P<0.001). User research confirmed that the functions most favored by clinicians and patients were "dental chair parameter updating and clinical data integration" [74.7% (80/107)] and "chairside display of diagnostic images" [76.8% (119/155)], respectively. Looking forward, the intelligent platform has the potential to integrate artificial intelligence-assisted diagnosis and 5G-enabled multicenter collaboration to further expand its clinical applications and accelerate the digital transformation of dental healthcare.

To address the problem of data silos in dental specialties caused by equipment heterogeneity, this study developed an Intelligent Internet of Things (IoT)-enabled dental chair platform (hereinafter referred to as the intelligent platform) based on the concept of medical-engineering integration. The platform adopts a three-tier chair-domain interconnection architecture: the bottom tier integrates multi-source sensors and standardized interfaces for automated data acquisition and linkage with hospital information systems; the middle tier provides clinic-level management and remote teaching collaboration; and the top tier employs a blockchain-based secure cloud database for resource allocation and data management. Clinical validation at The Affiliated Stomatological Hospital of Nanjing Medical University demonstrated that, compared with a control group from the same period in 2023, the trial group achieved a 38.0% increase in average daily patient visits (80.6±6.8 vs. 58.4±5.2, t=15.16, P<0.001), a 24.6% reduction in average treatment time [(36.1±6.3) min vs. (47.9±8.5) min, t=7.72, P<0.001], a 39.2% reduction in waiting time [23.3 (16.5, 30.1) min vs. 38.3 (28.3, 48.3) min, U=32.00, P<0.001], a 30.4% reduction in equipment idle rate [8.7% (5.1%, 12.3%) vs. 12.5% (7.4%, 17.6%), U=251.00, P=0.003], and an increase in patient satisfaction from 88.2% (1 519/1 723) to 94.3% (2 186/2 318) ( t=7.26, P<0.001). User research confirmed that the functions most favored by clinicians and patients were "dental chair parameter updating and clinical data integration" [74.7% (80/107)] and "chairside display of diagnostic images" [76.8% (119/155)], respectively. Looking forward, the intelligent platform has the potential to integrate artificial intelligence-assisted diagnosis and 5G-enabled multicenter collaboration to further expand its clinical applications and accelerate the digital transformation of dental healthcare.

Objective:To investigate the effectiveness and safety of secondary cytoreductive surgery (SCS) in patients with platinum-sensitive recurrent epithelial ovarian cancer who progressed after first-line maintenance therapy with poly adenosine diphosphate ribose polymerase inhibitor (PARPi).Methods:Clinical pathological data and prognostic information were retrospectively collected from 30 ovarian cancer patients who underwent SCS between January 2018 and June 2024. The Kaplan-Meier method was used to analyze the second progression-free survival (PFS2) time and 3-year overall survival (OS) rate.Results:(1) Primary treatment: the median age at diagnosis was 51.3 years. A total of 40% (12/30) patients underwent primary debulking surgery with an expectation of achieving no gross residual disease (R0), while 60% (18/30) received neoadjuvant chemotherapy and interval debulking surgery. Optimal cytoreduction was achieved in 93% (28/30) of patients. BRCA1/2 gene testing was performed in 29 patients (testing rate 97%, 29/30), identifying 11 BRCA-mutated (37%, 11/30) and 18 BRCA wild-type (60%, 18/30) patients. The median duration of PARPi maintenance therapy among the 30 patients was 11.9 months; patients with BRCA gene mutations had a median duration of 19.2 months, while those with BRCA wild-type had a median duration of 10.1 months. (2) Secondary surgery: pathologically confirmed recurrence patterns, single lesion in 9 patients (30%, 9/30), oligo-lesion (2 lesions) in 3 patients (10%, 3/30), and multi-lesion (≥3 lesions) in 18 patients (60%, 18/30). Among the 30 patients, optimal cytoreduction was achieved in 97% (29/30) of SCS patients, with suboptimal cytoreduction in 1 patient (3%, 1/30). Adjuvant chemotherapy included platinum+paclitaxel in 24 (80%, 24/30) patients and platinum+liposomal doxorubicin in 6 (20%, 6/30) patients. PARPi re-treatment was administered to 17 patients (57%, 17/30) after chemotherapy. (3) Efficacy and safety: as of the follow-up cutoff in June 2024, the median follow-up time was 28.0 months. A total of 19 (63%, 19/30) patients experienced the next recurrence. The median PFS2 time after SCS was 18.5 months. Recurrence occurred in 7 BRCA-mutated and 12 BRCA gene wild-type patients. Median PFS2 time was significantly longer in BRCA-mutated patients compared to BRCA wild-type patients (25.7 vs 14.1 months; P=0.028). Three deaths occurred during follow-up, resulting in a 3-year OS rate of 90%. Among the 30 patients, postoperative complications occurred in 4 patients (13%, 4/30). One patient developed a ureteral fistula on 7 days post-SCS requiring ureteral stenting, and one patient was transferred to the intensive care unit on 1 day post-SCS due to hypovolemic shock. No deaths occurred within 30 days after SCS. Conclusion:For platinum-sensitive recurrent ovarian cancer patients progressed after first-line PARPi maintenance therapy who are anticipated to achieve R0 resection, SCS represents a safe and effective second-line treatment option.