Background: and Purpose Therapeutic target selection in noninvasive brain stimulation for poststroke motor recovery typically relies on the interhemispheric inhibition model, which is effective for mildly affected patients but offers limited benefits for severely affected individuals. The mechanisms governing recovery from moderate-to-severe stroke remain poorly understood, which hinders the development of targeted interventions. Methods: We analyzed resting-state functional magnetic resonance imaging data from patients with unilateral subcortical stroke and moderate-to-severe upper limb deficits, both pre- and postintervention, along with data from healthy controls. We developed a novel dynamic lag analysis method for identifying recovery-related homotopic sensorimotor regions with altered interhemispheric interactions. To further uncover the global reorganization pathway, we developed dynamic lateralization approaches to detect large-scale functional connectivity (FC) alterations associated with the identified regions in transient lateralization states. Results: Dynamic time-lag analysis revealed significantly reduced synchronized states in the homotopic dorsal premotor cortex (PMd) post-intervention compared with pre-intervention, which correlated with motor recovery. Further dynamic lateralization analysis revealed a prolonged segregation state in patients, characterized by weakened interhemispheric and strengthened intrahemispheric interactions. In this state, patients showed decreased FC in the ipsilesional PMd and increased FC in the contralesional PMd with bilateral subcortical networks. These recoveryrelated alterations were absent in the traditional static analysis. Conclusions Dynamic analyses targeting interhemispheric interactions are valuable for understanding neural reorganization after stroke. The diminished interactions between the homotopic PMd indicate a compensatory mechanism. Importantly, a state-dependent compensatory pathway was identified, wherein the contralesional PMd assumes the functions of the ipsilesional PMd through enhanced interactions with subcortical structures, potentially guiding more effective interventions.

Genetically engineered mice are important tools for elucidating gene function and disease mechanisms and for advancing drug development. With the growing demand in biomedical research for complex genetic modifications, rapid model generation, and high-throughput functional analysis, technologies for generating genetically engineered mice continue to evolve. This review systematically summarizes the evolution and applications of these technologies, with a focus on conventional approaches, including early transgenic technologies and embryonic stem cell (ESC)-based homologous recombination for gene targeting, as well as the use of random mutagenesis approaches, such as N-ethyl-N-nitrosourea (ENU) mutagenesis and transposon insertion, in forward genetic screening. It further discusses the principles and characteristics of programmable nucleases, including zinc finger nucleases, transcription activator-like effector nucleases, and CRISPR/Cas systems, as well as their applications in generating genetically engineered mice. With advances in genome editing, Cas9-derived systems, base editing, prime editing, and RNA editing further improve editing precision, expand the repertoire of genetic modifications and precise regulatory approaches, and provide additional options for generating genetically engineered mice. This review also compares the advantages, limitations, and suitability of different technologies for specific applications and summarizes quality-control strategies addressing practical issues that may affect model reliability, including off-target effects, mosaicism, genetic background, and genetic stability. Finally, future directions in technologies for generating genetically engineered mice are discussed to inform the generation and application of related models.

Objective: To evaluate the immunogenicity and safety of co-administration with bivalent human papillomavirus (HPV) vaccine and hepatitis E virus (HEV) vaccine, so as to provide reference for optimizing the vaccination schedule. Methods: Females aged 18 to 25 years were recruited from September to October 2021 in Hengdian College of Film & Television in Zhejiang Province and randomly divided into the HPV+HEV group, the HPV group, and the HEV group. The vaccination procedures were one dose each at 0, 1, and 6 months. Immunogenicity was evaluated by detecting the geometric mean titers (GMT) of HPV16 IgG, HPV18 IgG, and/or HEV IgG antibodies before the first vaccination and one month after the full course of immunization, and comparing the difference in seroconversion, and the GMT ratio. The non-inferiority margin was set at a seroconversion difference of ≤5%, and the lower limit of the 95%CI of the GMT ratio was >0.5. Safety was evaluated by collecting conjunctive local reactions/events and systemic reactions/events within 7 days after each dose, non-conjunctive adverse events within 30 days after each dose, and serious adverse events throughout the observation period (0 to 7 months). Results: A total of 240 females were included, among whom 236 completed the full vaccination program, including 79 in the HPV+HEV group, 77 in the HPV group, and 80 in the HEV group. One month after the full course of immunization, the seroconversion rates of HPV16 IgG and HPV18 IgG antibodies in both the HPV+HEV group and the HPV group were 100%, and the differences in seroconversion rates were 0 (95%CI: -3.39%-+∞). The seroconversion rates of HEV IgG antibodies in both the HPV+HEV group and the HEV group were 100%, and the difference in seroconversion rates was 0 (95%CI: -3.27%-+∞). The GMT of HPV16 IgG and HPV18 IgG antibodies in the HPV+HEV group was 393.88 and 284.86 IU/mL respectively, which was not inferior to 489.39 and 341.24 IU/mL in the HPV group, and the GMT ratios were 0.80 (95%CI: 0.66-+∞) and 0.83 (95%CI: 0.68-+∞), respectively. The GMT of HEV IgG in the HPV+HEV group was 13.55 U/mL, which was not inferior to 12.72 U/mL in the HEV group, and the GMT ratio was 1.07 (95%CI: 0.92-+∞). The incidences of pain, pruritus, and induration in the HPV+HEV group were 54.43%, 21.52% and 40.51% respectively, which were significantly higher than 10.39%, 0, and 0 in the HPV group (all P<0.05). The incidences of redness/swelling, muscle pain/general weakness in the HPV+HEV group were 2.53% and 0, respectively, which were significantly lower than 12.50% and 16.25% in the HEV group (both P<0.05). Conclusion The co-administration of the bivalent HPV vaccine and HEV vaccine is not inferior to individual vaccination in terms of immunogenicity and safety, and the vaccination plan can be optimized through co-administration.

Objective To explore the current status and influencing factors of heart failure occurrence in patients with unstable angina pectoris (UAP), and to provide a scientific basis for developing individualized prevention and treatment strategies. Methods A total of 310 patients with UAP admitted to the Fifth People's Hospital from October 2021 to October 2024 were selected as study subjects. The current status of the patients' heart failure was statistically analyzed, and the patients were divided into heart failure group and non-heart failure group according to whether they had heart failure. Univariate and logistic multivariate regression analyses were used to analyze the risk factors for the occurrence of heart failure in patients with UAP. Results Among the 310 patients with UAP, 63 cases had heart failure, with an incidence rate of 20.32%. After logistic multivariate analysis, it was found that diabetes mellitus, hyperlipidemia, number of coronary artery lesions, homocysteine and plasma brain natriuretic peptide levels were risk factors of heart failure in patients with UAP, and hemoglobin level was a protective factor (OR: 2.010, 95%CI: 1.063-3.800; OR: 4.495, 95%CI: 2.228-9.067; OR: 2.408, 95%CI: 1.256-4.617; OR: 3.655, 95%CI: 1.812-7.372; OR: 4.693, 95%CI: 2.622-8.399; OR: 0.359, 95%CI: 0.205-0.628, P<0.05). Conclusion The coronary heart disease risk of heart failure is high in patients with UAP, and is affected by comorbidities, number of coronary artery lesions, homocysteine, and plasma brain natriuretic peptide levels. It is necessary to perform clinical screening and pay attention to such patients, and take active prevention and control interventions.

BACKGROUND: Neuroticism has been associated with numerous health outcomes. However, most research has focused on a single specific disorder and has produced controversial results, particularly regarding mortality risk. Here, we aimed to examine the association of neuroticism with morbidity and mortality and to elucidate how neuroticism affects trajectories from a healthy state, to one or more neuroticism-related disorders, and subsequent mortality risk. METHODS: We included 483,916 participants from the UK Biobank at baseline (2006-2010). Neuroticism was measured using the Eysenck Personality Questionnaire. Three clusters were constructed, including worry, depressed affect, and sensitivity to environmental stress and adversity (SESA). Cox proportional hazards regression and multistate models were used. Linear regression was used to examine the association between neuroticism and immune parameters and neuroimaging measures. RESULTS: High neuroticism was associated with 37 non-overlapping diseases, including increased risk of infectious, cardiometabolic, neuropsychiatric, digestive, and respiratory diseases, and decreased risk of cancer. After adjustment for sociodemographic variables, physical measures, healthy behaviors, and baseline diagnoses, moderate-to-high neuroticism was associated with a decreased risk of all-cause mortality. In multistate models, high neuroticism was associated with an increased risk of transitions from a healthy state to a first neuroticism-related disease (hazard ratio [HR] [95% confidence interval (CI)] = 1.09 [1.05-1.13], P  <0.001) and subsequent transitions to multimorbidity (1.08 [1.02-1.14], P  = 0.005), but was associated with a decreased risk of transitions from multimorbidity to death (0.90 [0.84-0.97], P for trend = 0.006). The leading neuroticism cluster showing a detrimental role in the health-illness transition was depressed affect, which correlated with higher amygdala volume and lower insula volume. The protective effect of neuroticism against mortality was mainly contributed by the SESA cluster, which, unlike the other two clusters, did not affect the balance between innate and adaptive immunity. CONCLUSION This study provides new insights into the differential role of neuroticism in health outcomes and into new perspectives for establishing mortality prevention programs for patients with multimorbidity.
Humans ; Neuroticism/physiology* ; Male ; Female ; Middle Aged ; Aged ; Proportional Hazards Models ; Surveys and Questionnaires ; Adult ; Risk Factors

Objective:To detect the levels of sex hormones and insulin in follicular fluid(FF)and the expression level of phosphatase and tensin homolog deleted on chromosome ten(PTEN)in granulosa cells in the infertile patients with polycystic ovary syndrome(PCOS),and to preliminarily explain the correlations between the insulin level and the expression level of PTEN mRNA.Methods:Seventy infertile patients were selected as the subjects and divided into PCOS group and control group(tubal obstruction or infertility due to male factors)according to infertility factors.All patients received in vitro fertilization-embryo transfer(IVF-ET)treatment.FF and ovarian granulosa cells were collected on the day of ovulation.The expression levels of PTEN mRNA in ovarian granulosa cells of the patients in two groups were detected by real-time fluorescence quantitative PCR(RT-qPCR)method.The levels of sex hormone and insulin in FF were measured by electrochemiluminescence.The correlations of the PTEN mRNA expression level in ovarian granulosa cells and testosterone(T)in FF with the level of insulin in FF were analyzed by Spearman correlation analysis method.Results:There were no significant differences in age,infertility years,body mass index(BMI),basic sex hormone,total dose of gonadotropin(Gn)and days of ovulation induction in two groups(P＞0.05).Compared with control group,the anti-Mullerian hormone(AMH)and antral follicle counting(AFC)of the patients in PCOS group were significantly increased(P＜0.05).The RT-qPCR results showed that the PTEN mRNA expression level in ovarian granulosa cells of the patients in the PCOS group was higher than that in control group(P＜0.001).The electrochemiluminescence results showed that the levels of T and insulin in FF of the patients in PCOS group were higher than those in control group(P＜0.05),whereas the estrogen and progesterone levels were lower than those in control group(P＜0.05).The Spearman correlation analysis showed that that T level in FF was positively correlated with the insulin level of the patients in PCOS group(r=0.577,P＜0.001),and the PTEN mRNA expression level in ovarian granulosa cells was positively correlated with the insulin levels in FF(r=0.616,P＜0.001);in control group,there was no correlation between T level and insulin level in FF(r=0.266,P=0.123),and there was no correlation between the expression level of PTEN mRNA in granulosa cells and the insulin level in FF in control group(r=-0.214,P=0.216).Conclusion:The high expression of PTEN in granulosa cells of the infertile patients with PCOS may be related to the local hyperinsulin level in the ovary,and PTEN participates in the occurrence and development of PCOS.

Objective: To explore the mechanism of action of hepatic leukemia factor (HLF) in diabetes mellitus and to construct a conditional animal model of mice with islet β ⁃cell⁃specific HLF gene knockout. Methods: At the cellular level , the effects of HLF inhibition or overexpression on the proliferation of MIN6 cells was verified by the CCK⁃8 assay. The effects of HLF inhibition or overexpression were detected at the mRNA level and protein level by Cre + / - mice (C57BL/6J) to obtain offspring mice. The genotypes of the mice were identified by the PCR method.The differences in the expression levels of the HLF gene at the mRNA and protein levels in islet β ⁃cell knockout mice (HLFflox/flox Cre + / - ) and control mice (HLFflox/flox ) were detected by RT⁃qPCR technology and Western blot technology to verify the knockout effect. At the same time , the islet tissues of the mice in two groups were taken to make paraffin sections and analyzed by hematoxylin⁃eosin (HE) staining. Results: HLF gene inhibition or overex⁃pression had no significant effect on the proliferation of MIN6 cells. When the HLF gene was inhibited in MIN6 cells , the mRNA expression level decreased by 74% compared with the control group , and the protein expression level decreased by 60% compared with the control group. After overexpressing the HLF gene , the mRNA expres⁃sion level was 2. 13 times compared with that of the control group , and the protein expression level was 1. 8 times compared with that of the control group. The mRNA expression level of the HLF gene in the knockout mice de⁃creased by 89% compared with the control group , and the protein expression level decreased by 65% compared with the control group. The results of HE staining showed that there was no significant difference in the cell mor⁃phology in the islet tissues between the knockout mice and the control mice. Inhibiting HLF increased the glycogen content in MIN6 cells by approximately 20% . Conclusion The HLF gene knockout mice are successfully con⁃structed , providing an animal model for studying the role of HLF in the pathogenesis of diabetes mellitus.

Objective: To compare the changes in the concentration of relevant growth factors released from platelet-rich plasma (PRP) stored at -80℃ by cryopreservation and at 4℃ by refrigerated lyophilization over 2 years, aiming to provide a theoretical basis for prolonging PRP storage duration. Methods: PRP (n=15) was separated using a blood cell separator and stored under -80℃ cryopreservation (F-PRP group) and 4℃ refrigerated freeze-drying conditions (FD-PRP group). The contents of growth factors (PDGF-AA, PDGF-BB, EGF, TGF-β1, and VEGF) in both groups were measured by ELISA at 1, 3, 6, 9, 12 and 24 months. Results: PDGF-AA and VEGF maintained good stability in both groups for up to 24 months. PDGF-BB and TGF-β1 showed high stability in the first 12 months but their stability decreased gradually from 12th to 24th months. EGF demonstrated good stability in the first 6 months, and its stability gradually decreased from the 9th to 24th months. Comparing the F-PRP and FD-PRP groups, the concentrations of the five growth factors in the FD-PRP group were either not statistically different or higher than those in the F-PRP group at all time points. Specifically, the concentrations of EGF were significantly higher in the FD-PRP group at all time points. Conclusion: Both -80℃ freezing and 4℃ freeze-drying enable long-term preservation of PRP. Freeze-drying imposes less stringent storage requirements and facilitates growth factor compared to frozen storage.

Medical fiber endoscope is one kind of medical device that utilizes fiber technique to realize visual detection for internal organs or cavities.In clinical applications,medical fiber endoscope not only need to complete fiber optic imaging but also need possess the functions of delivering water and air,and operating device.Therefore,its routine management and maintenance for fault is more and more payed attention by the staffs of using medical fiber endoscope in department.The system of delivering water and air is a key structure for some of medical fiber endoscopes,which has higher maintenance matters and frequency of maintaining fault.Based on the above reasons,this research analyzed the working principle of medical fiber endoscopes,and summarized the ideas and methods of repairing common faults through focused on the structural composition of delivering system of water and air of medical fiber endoscopes,so as to improve the management level for this type of medical device.

Objective To evaluate the performance of the artificial intelligence (AI)-enabled snail identification system for recognition of Oncomelania hupensis robertsoni and Tricula in schistosomiasis-endemic areas of Yunnan Province. Methods Fifty O. hupensis robertsoni and 50 Tricula samples were collected from Yongbei Township, Yongsheng County, Lijiang City, a schistosomiasis-endemic area in Yunnan Province in May 2024. A total of 100 snail sample images were captured with smartphones, including front-view images of 25 O. hupensis robertsoni and 25 Tricula samples (upward shell opening) and back-view images of 25 O. hupensis robertsoni and 25 Tricula samples (downward shell opening). Snail samples were identified as O. hupensis robertsoni or Tricula by schistosomiasis control experts with a deputy senior professional title and above according to image quality and morphological characteristics. A standard dataset for snail image classification was created, and served as a gold standard for recognition of snail samples. A total of 100 snail sample images were recognized with the AI-enabled intelligent snail identification system based on a WeChat mini program in smartphones. Schistosomiasis control professionals were randomly sampled from stations of schistosomisis prevention and control and centers for disease control and prevention in 18 schistosomiasis-endemic counties (districts, cities) of Yunnan Province, for artificial identification of 100 snail sample images. All professionals are assigned to two groups according the median years of snail survey experiences, and the effect of years of snail survey experiences on O. hupensis robertsoni sample image recognition was evaluated. A receiver operating characteristic (ROC) curve was plotted, and the sensitivity, specificity, accuracy, Youden’s index and the area under the curve (AUC) of the AI-enabled intelligent snail identification system and artificial identification were calculated for recognition of snail sample images. The snail sample image recognition results of AI-enabled intelligent snail identification system and artificial identification were compared with the gold standard, and the internal consistency of artificial identification results was evaluated with the Cronbach’s coefficient alpha. Results A total of 54 schistosomiasis control professionals were sampled for artificial identification of snail sample image recognition, with a response rate of 100% (54/54), and the accuracy, sensitivity, specificity, Youden’s index, and AUC of artificial identification were 90%, 86%, 94%, 0.80 and 0.90 for recognition of snail sample images, respectively. The overall Cronbach’s coefficient alpha of artificial identification was 0.768 for recognition of snail sample images, and the Cronbach’s coefficient alpha was 0.916 for recognition of O. hupensis robertsoni snail sample images and 0.925 for recognition of Tricula snail sample images. The overall accuracy of artificial identification was 90% for recognition of snail sample images, and there was no significant difference in the accuracy of artificial identification for recognition of O. hupensis robertsoni (86%) and Tricula snail sample images (94%) (χ² = 1.778, P > 0.05). There was no significant difference in the accuracy of artificial identification for recognition of snail sample images with upward (88%) and downward shell openings (92%) (χ² = 0.444, P > 0.05), and there was a significant difference in the accuracy of artificial identification for recognition of snail sample images between schistosomiasis control professionals with snail survey experiences of 6 years and less (75%) and more than 6 years (90%) (χ² = 7.792, P < 0.05). The accuracy, sensitivity, specificity and AUC of the AI-enabled intelligent snail identification system were 88%, 100%, 76% and 0.88 for recognition of O. hupensis robertsoni snail sample images, and there was no significant difference in the accuracy of recognition of O. hupensis robertsoni snail sample images between the AI-enabled intelligent snail identification system and artificial identification (χ² = 0.204, P > 0.05). In addition, there was no significant difference in the accuracy of artificial identification for recognition of snail sample images with upward (90%) and downward shell openings (86%) (χ² = 0.379, P > 0.05), and there was a significant difference in the accuracy of artificial identification for recognition of snail sample images between schistosomiasis control professionals with snail survey experiences of 6 years and less and more than 6 years (χ² = 5.604, P_adjusted < 0.025). Conclusions The accuracy of recognition of snail sample images is comparable between the AI-enabled intelligent snail identification system and artificial identification by schistosomiasis control professionals, and the AI-enabled intelligent snail identification system is feasible for recognition of O. hupensis robertsoni and Tricula in Yunnan Province.