OBJECTIVE: To explore the application value of artificial intelligence (AI)-assisted chromosomal karyotype analysis in the diagnosis of prenatal chromosomal mosaicism. METHODS: A retrospective analysis was conducted on 172 pregnant women who underwent amniocentesis at the Department of Medical Genetics and Prenatal Diagnosis, the Third Affiliated Hospital of Zhengzhou University between January 2019 and December 2024. All cases whose fetuses were diagnosed with chromosomal mosaicism via karyotype analysis and stratified into two groups based on the analytical software employed: the conventional analysis group (n = 70), which utilized Leica analysis software for karyotype image recognition and cell counting; and the AI-assisted analysis group (n = 102), which utilized AI-assisted software for the same procedures. The clinical performance of AI-assisted karyotype analysis in diagnosing chromosomal mosaicism was comprehensively evaluated by comparing the types of mosaic karyotypes, distribution of mosaic ratios, and verification outcomes of different detection modalities between the two groups. This study was approved by the Medical Ethics Committee of the Third Affiliated Hospital of Zhengzhou University (Ethics No.: 2024-406-01). RESULTS: No statistically significant difference was observed in baseline characteristics (maternal age, gestational week, and indications for prenatal diagnosis) between the two groups. Regarding the detection efficacy for numerical and structural mosaicisms, no significant difference was found in the detection of numerical mosaicism. However, the conventional analysis group exhibited a significantly higher detection rate of autosomal structural mosaicism compared to the AI-assisted group (11.43% vs. 0.98%, P < 0.05). Numerical mosaicism cases were further verified using copy number variation sequencing (CNV-seq) and/or fluorescence in situ hybridization (FISH). The AI-assisted group demonstrated a significantly lower inconsistency rate (5.56% vs. 20.41%, P < 0.05) compared to the conventional group. For low-proportion (< 10%) chromosomal mosaicism, the AI-assisted group had a significantly lower detection rate (13.25% vs. 29.69%, P < 0.05). Subsequent validation of low-proportion mosaicism by CNV-seq and/or FISH showed a higher consistency rate in the AI-assisted group (81.82% vs. 54.55%), though the difference did not reach statistical significance (P = 0.360). CONCLUSION For the karyotyping analysis of prenatal chromosomal mosaicism, AI-assisted karyotype analysis shows high accuracy and consistency in identifying numerical chromosomal mosaicism, particularly in reducing the detection of low-proportion (< 10%) mosaicism while improving verification accuracy. AI-assisted analysis can significantly improve the detection accuracy of numerical mosaicism and mitigate the risk of misclassification for low-proportion (< 10%) mosaicism, thereby providing more precise clinical evidence for the prenatal diagnosis of chromosomal mosaicisms.
Humans ; Female ; Mosaicism ; Pregnancy ; Karyotyping/methods* ; Artificial Intelligence ; Prenatal Diagnosis/methods* ; Adult ; Retrospective Studies ; Chromosome Disorders/genetics* ; Amniocentesis

Background::The ratio of high-density lipoprotein cholesterol (HDL-C) to low-density lipoprotein cholesterol (LDL-C) predicts cardiovascular disease (CVD) endpoints, yet its prognostic validity in high-risk populations and for type 2 diabetes mellitus (T2DM)-related adverse events remains unestablished.Methods::This study included 32,609 people aged 35-75 years in Fujian Province, China, who were at high risk for CVD. The primary endpoint was all-cause mortality during follow-up. Cox proportional hazard models and restricted cubic spline (RCS) analysis were used to evaluate the correlation between the HDL-C/LDL-C ratio and the endpoints.Result::On the basis of the restricted RCS curve, the participants were classified as having a low (< 0.3), middle (0.3-0.5), or high (> 0.5) HDL-C/LDL-C ratio. Multivariate Cox regression analyses revealed that the risk of all-cause mortality (HR = 1.48, 95% CI 1.14-1.93, p < 0.01 for low; HR = 1.30, 95% CI 1.06-1.58, p < 0.05 for high) was increased in the low and high groups. Participants without T2DM who were at high risk for CVD had similar prognoses (HR = 1.65, 95% CI 1.19-2.28, p < 0.01 for low; HR = 1.35, 95% CI 1.05-1.74, p < 0.01 for high). However, this association was not found in participants with T2DM who were at high risk for CVD. Conclusion::HDL-C/LDL-C can be used to predict the prognosis of individuals at high risk for CVD, and maintaining HDL-C/LDL-C ratios between 0.3 and 0.5 may be the most helpful range for this population. Furthermore, maintaining this ratio range holds clinical significance for cohorts without T2DM, although further exploration is needed in this T2DM cohort.

Objective To explore influencing factors in diagnosing stump vaginal lesions by comparing the clinical data of patients with vaginal wall resection after total hysterectomy.Methods This retrospective study included patients who underwent vaginectomy due to stump vaginal lesions[including high-grade intraepithelial lesion(HSIL)or cancer]in Obstetrics and Gynecology Hospital,Fudan University between Jan 1,2013 and Sep 30,2022.The diagnosis was confirmed based on pathology results after vaginal stump resection,then patients were categorized into HSIL group and vaginal cancer(VC)group.We analyzed the differences in clinical features between the groups and evaluated the diagnostic value of various indicators for vaginal cancer.Additionally,within the VC group,patients whose colposcopic biopsy showed HSIL while whose pathology upgraded to invasive cancer after stump colpotomy were classified as the high-grade pathologic invasive cancer group(HC group).We then compared the HSIL group and the HC group to assess the predictive value of each index for pathological escalation.Results Significant differences were observed between the HSIL and VC groups in terms of age,etiology of previous hysterectomy,proportion of clinical symptoms,proportion of abnormal physical examination findings,proportion of abnormal imaging findings,proportion of papillary lesions,proportion of vaginal roof lesions,and squamous cell carcinoma antigen(SCCA)(P<0.05).However,there were no significant differences in fertility,previous hysterectomy,or HPV infection rate.Abnormal physical examination and imaging findings demonstrated better diagnostic performance(AUC>0.7).The proportion of vaginal apex lesions was significantly higher in the HC group compared with the HSIL group(P<0.05).Conclusion Previous hysterectomy for cervical cancer,presence of clinical symptoms,abnormal physical findings,abnormal imaging manifestations,and lesions at the vaginal apex are significant influencing factors in the diagnosis of vaginal stump carcinoma.Although colposcopy remains the primary diagnostic method,vaginal resection should be considered to rule out invasive carcinoma when high-risk factors exist,even if colposcopic biopsy pathology suggests HSIL.

Objective:To investigate the effects of combination therapy with aqueous extract of corn silk(CS)and training on exercise capacity and glycolipid metabolism in mice with metabolic syndrome(MS).Methods:In this study,db/db mice were used as the animal model of MS.The mice were administered aqueous extract of CS via gavage and subjected to different intensities of training for 12 weeks(3 months).The specific experimental design was as follows:24 db/db mice were randomly divided into four groups on average:negative control group(NC),aqueous extract of CS group(CS),aqueous extract of CS+moderate-intensity training group(CS+MT),and CS aqueous extract of CS+high-intensity training group(CS+HT).The maximum running speed,forelimb grip strength,body weight and fasting blood glucose of mice were measured before and after treatment.After the intervention,oral glucose tolerance test(OGTT)and insulin tolerance test(ITT)were conducted to assess glucose metabolism,while serum triglyceride(TG),total cholesterol(TC),high-density lipoprotein cholesterol(HDL-C),and low-density lipoprotein cholesterol(LDL-C)levels were measured to evaluate lipid metabolism.Results:After 3 months of intervention,there were significant differences in the maximum running speed and forelimb grip strength among the four groups(P＜0.05).The maximum running speed and forelimb grip strength of CS group,CS+MT group and CS+HT group were higher than those of NC group(P＜0.05).The CS+MT group exhibited higher forelimb grip strength,and the CS+HT group showed higher maximum running speed and forelimb grip strength compared to the CS group(P＜0.05),while no significant difference was found between the CS+MT and CS+HT groups(P＞0.05).Significant differences in body weight were observed among the four groups after 3 months of intervention(P＜0.05).Specifically,the CS+MT and CS+HT groups exhibited significantly lower body weight compared to both the NC and CS groups(P＜0.05),with the CS+MT group having the lowest body weight(P＜0.05).Fasting blood glucose levels also differed significantly among the groups after 2 and 3 months of intervention(P＜0.05).The CS,CS+MT,and CS+HT groups had lower fasting blood glucose levels compared to the NC group(P＜0.05),with the CS+MT and CS+HT groups showing the lowest levels(P＜0.05).No significant difference was found between the CS+MT and CS+HT groups(P＞0.05).After 3 months of intervention,significant differences in the area under the curve(AUC)of OGTT and ITT were observed among the four groups(P＜0.05).The AUC of OGTT and ITT were significantly lower in the CS,CS+MT,and CS+HT groups compared to the NC group(P＜0.05).The CS+MT and CS+HT groups exhibited the lowest AUC values for both OGTT and ITT(P＜0.05),with the CS+MT group showing the lowest AUC for OGTT(P＜0.05).Significant differences in serum lipid levels were observed among the four groups after 3 months of intervention(P＜0.05).TG,TC,and LDL-C levels were significantly lower,while HDL-C levels were higher in the CS,CS+MT,and CS+HT groups compared to the NC group(P＜0.05).The CS+MT group had the lowest TG levels and the highest HDL-C levels compared to the CS+HT group(P＜0.05),with no significant differences in TC and LDL-C levels between these two groups(P＞0.05).Conclusion:Aqueous extract of CS combined with different intensity training can significantly improve the exercise capacity and glycolipid metabolism of MS mice and reduce body weight,especially CS combined with MT treatment is more effective in improving lipid metabolism.In addition,when combined with HT,aqueous extract of CS can also play an auxiliary role in reducing the side effects of high-intensity exercise and improving the therapeutic effect.

OBJECTIVE T o analyze the current situation and characteristics of hospital-associated infection in a psy-chiatric hospital,providing references for formulation of control measures for hospital-associated infection.METHODS A retrospective analysis was conducted on hospital-associated infection data from Shanghai Mental Health Center between Jan.1,2019,and Oct.31,2024.The infection rates and infection sites across different years,patient populations,and departments were analyzed.RESULTS A total of 47 051 inpatients were investiga-ted,with 1 798 cases of hospital-associated infections,resulting in an infection rate of 3.82％.The highest inci-dence rate was observed in 2020(4.13％).The top three departments with the highest incidence rates were the in-fectious disease department(12.13％),geriatric psychiatry(7.67％),and the Traditional Chinese Medicine De-partment department(4.90％).The primary infection sites were the lower respiratory tract(57.06％),urinary tract(18.24％),skin and soft tissue(14.29％).The incidence rate was higher in males(5.32％)than in females(2.72％)(P＜0.001).Statistically significant differences were found in the incidence rates among different age groups(P＜0.001),with the highest rate observed in patients aged over 90 years(17.11％).The lowest infection rate was found in patients hospitalized for less than 60 days(0.69％),while the highest was in those hospitalized for more than 1 000 days(49.94％).CONCLUSIONS The patients in psychiatric hospitals are susceptible to infec-tions in the respiratory tract,urinary tract,skin and soft tissue.Targeted prevention and control measures can be implemented based on high-risk factors such as age,length of stay,and gender to reduce the occurrence of in-fections.

Objective To evaluate the transition rules of normal body mass index(BMI),overweight and metabolic syndrome(MetS)in patients with major depressive disorder(MDD).Methods Patients with MDD who had multiple admission records between Jan 2016 and Nov 2021 in Beijing Anding Hospital,Capital Medical University were included.Based on the overweight and metabolic syndrome status assessed at each admission,the patients were categorized into three states:normal BMI,overweight and metabolic syndrome.A multi-state Markov model was used to analyze the transition intensity and transition frequency between three states and the influence of covariates on transitions.Results A total of 892 records of 398 subjects were included,with a median age of 56 years old and 31.4% males.The median follow-up period was 40 months.The multi-state model showed that there were 494 transitions between the three states,of which 5.1% moved from normal BMI to overweight and 5.5% moved from overweight to MetS.The intensity of transition was the highest from overweight to MetS,9.52 times greater than overweight to normal BMI.After 48.53 months,MDD patients with normal BMI began to transition to MetS.For overweight MDD patients,the transition to MetS started after 8.77 months.MDD patients with normal BMI or overweight had 31.4% and 50.4% probabilities of developing Mets after 36 months.For MDD patients comorbid with MetS,the probability of staying at MetS was 51.2% after 36 months.Multivariate analysis showed that being unmarried was a risk factor against developing overweight in normal BMI MDD patients,while a higher level of education was a protective factor against developing MetS in overweight MDD patients.Conclusion MDD patients exhibited a higher intensity and risk of developing MetS,and it is not easy to reverse MetS,suggesting that BMI management and MetS intervention should be strengthened in MDD patients.

Objective:To explore the influence of cardiac rehabilitation therapy on the postoperative quality of life, cardiac function and prognosis of patients undergoing transcatheter aortic value replacement (TAVR).Methods:A total of 182 patients with aortic valve stenosis who underwent TAVR in the Union Hospital, Tongji Medical College, Huazhong University of Science and Technology from January 2021 to May 2023 were selected as the research subjects. The patients were divided into the observation group and the control group by the random number table method, with 91 cases in each group. The control group was given conventional drug treatment after the operation, while the observation group was given conventional drug treatment + cardiac rehabilitation treatment after the operation. The baseline clinical data, quality of life before and after intervention (Minnesota Quality of Life Scale score), cardiac function [6-minute walking distance (6MWT), B-type brain natriuretic peptide (BNP)] of the two groups of patients were compared. The left ventricular ejection fraction (LVEF), left ventricular end-systolic diameter (LVESD), left ventricular end-diastolic diameter (LVEDD), and the incidence of adverse events one year after TAVR were evaluated using the Cox regression model to assess the effect of cardiac rehabilitation therapy on the occurrence of adverse events one year after TAVR. Kaplan-Meier survival analysis was used to compare the cumulative rate of no adverse events one year after TAVR in the two groups of patients.Results:After the intervention in both groups, the Minnesota Quality of Life Scale score, 6MWT, BNP, and LVEF were significantly improved compared with those before the intervention (all P<0.05), and the Minnesota Quality of Life Scale score, 6MWT, BNP, and LVEF in the observation group after the intervention were better than those in the control group (all P<0.05). The incidences of stroke and heart failure in the observation group one year after TAVR were significantly lower than those in the control group (all P<0.05). Cox regression analysis showed that cardiac rehabilitation significantly reduced the risk of adverse events one year after TAVR in patients ( HR: 0.72; 95% CI: 0.46-0.97; P=0.035). Kaplan-Meier survival analysis showed that the cumulative rate of no adverse events at 3, 6, and 12 months after TAVR in the observation group was significantly higher than that in the control group (94.3%, 89.5%, 76.8% vs 83.4%, 74.6%, 57.8%, all P<0.05). Conclusions:Cardiac rehabilitation therapy can significantly improve the postoperative quality of life and cardiac function of patients with TAVR, bringing obvious survival benefits to such patients.

Aim To study the effect of p-benzoyl sali-droside(pOBz)on angiogenesis after ischemic stroke and to explore the underlying mechanism.Methods The MCAO model was prepared by suture method.Rats were divided into four groups:sham,MCAO,pOBz administration,and edaravone positive control,treated for seven days.The mNSS was used to assess the neurological impairment.Western blotting was em-ployed to detect CD31,NICD,and Hes-1 protein ex-pression,while immunofluorescence staining was ap-plies to quantify CD31-positive cells in ischemic brain tissue.In vitro an OGD/R model was established in HUVECs.Following treatment with varying pOBz con-centrations(0.01,0.1,1 μmol·L-1),the CCK-8 as-say was uses to measure cell viability,and in vitro tube formation assay was utilized to evaluate angiogenesis.Western blotting was employed again to assess CD31,NICD and Hes-1 protein levels.To further elucidate the mechanism,HUVEC were treated with the Notch inhibitor DAPT prior to grouping and pOBz administra-tion,and the same parameters were evaluated.Results pOBz significantly reduced the mNSS score of MCAO rats,increased CD31-positive cell counts,and upregu-lated CD31,NICD,and Hes-1 protein expression(P＜0.01).In vitro results further showed that pOBz could dose-dependently increase the survival rate and angio-genesis ability of HUVEC induced by OGD/R,and promote CD31,NICD and Hes-1 proteins(P＜0.01),and Notch inhibitor DAPT could reverse the above effects of pOBz.Conclusion pOBz promotes angio-genesis in HUVEC,and its mechanism involves activa-tion of the Notch signaling pathway.

AIM:This study aims to investigate the synergistic cytotoxic effects of chrysin and venetoclax on acute myeloid leukemia(AML)cells and to elucidate the underlying mechanisms.METHODS:Human AML cell lines MV411 and MOLM13 were cultured in vitro and treated with chrysin in combination with venetoclax.Cell viability was as-sessed using the CCK8 assay,while flow cytometry was employed to measure cell cycle distribution and apoptosis rates.Western blot was used to detect the expression of apoptosis-related proteins and protein kinase B(PKB/Akt)/nuclear factor-κB(NF-κB)signaling pathway-related proteins.RESULTS:The results from the CCK8 assay and flow cytometry demon-strated that treatment with 16 and 32 μmol/L chrysin significantly inhibited the viability of AML cells and increased the proportion of cells in G1 phase,as well as the apoptosis rate.Notably,the cells in combination treatment group exhibited a marked reduction in proliferation and an elevated apoptosis rate compared with either chrysin or venetoclax group alone.Western blot analysis indicated that increasing concentrations of chrysin led to an elevation in cleaved poly(ADP-ribose)polymerase(PARP)level,alongside a down-regulation of proteins associated with the Akt/NF-κB signaling pathway.Fur-thermore,the combination treatment significantly up-regulated cleaved PARP level and down-regulated Akt/NF-κB path-way-related proteins compared with the treatment with chrysin or venetoclax alone.CONCLUSION:Chrysin and veneto-clax synergistically inhibit the proliferation of AML cells and promote apoptosis by modulating the Akt/NF-κB signaling pathway.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.