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

ObjectiveTo investigate the potential mechanisms of Zhimu （Anemarrhena asphodeloides）-Huangbai （Phellodendron amurense） medicinal pair in alleviating postmenopausal osteoporosis （PMOP）. MethodsSixty unpregnant female SD rats were randomly divided into five groups， blank group， model group， low-dose Zhimu-Huangbai group， high-dose Zhimu-Huangbai group， and estradiol group， with 12 rats in each group. Except for the blank group， all other groups had their ovaries removed to create PMOP rat models， while the blank group only had the fat tissue around the ovaries removed. One week after the ovarian removal， the low-dose and high-dose Zhimu-Huangbai groups received concentrated solution of Zhimu and Huangbai with 1.8， 7.2 g/（kg·d） via gavage， the estradiol group received estradiol solution 0.09 mg/（kg·d） via gavage， and the blank group and the model group received 10 ml/（kg·d） of normal saline via gavage， once daily for 12 weeks. Before sampling， the body mass of the rats was recorded， and uterine tissue was taken to calculate the uterine index. The levels of interleukin-1β （IL-1β）， interleukin-6 （IL-6） and tumor necrosis factor-α （TNF-α） in serum were detected by ELISA； micro CT was used to examine the parameters of femoral microstructure， including bone volume/tissue volume （BV/TV）， trabecular number （Tb.N）， trabecular thickness （Tb.Th）， bone mineral density （BMD）， trabecular separation （Tb.Sp）， and cortical bone area （Ct.Ar）. HE staining was used to observe pathological changes in the femur； RT-qPCR was used to detect the mRNA expression of osteogenic-adipogenic differentiation-related factors in femoral tissue， including Runt-related transcription factor 2 （Runx2）， bone morphogenetic protein 2 （BMP-2）， peroxisome proliferator-activated receptor γ （PPARγ）， chemerin and chemokine-like receptor 1 （CMKLR1）. ResultsCompared with the blank group， the model group showed a significant increase in body mass， a significant decrease in the uterine index， BV/TV， Tb.N， Tb.Th and BMD， a significant increase in Tb.Sp， and serum IL-1β， IL-6， and TNF-α levels， a significant reduction of mRNA expression of Runx2 and BMP-2 in bone tissue， and a significant increased mRNA expression of PPARγ， chemerin， and CMKLR1 （P＜0.01）. HE staining revealed that the femoral tissue showed a reduction and sparsity of trabeculae， a significant enlargement of the medullary cavity， and a large number of fat cells. Compared to the model group， the low-dose， high-dose Zhimu-Huangbai groups， and estradiol group showed significant improvements in all the above-mentioned indicators （P＜0.05 or P＜0.01）. HE staining revealed a significant increase in trabeculae， more organized arrangement， and a marked reduction in fat cells. Compared to low-dose Zhimu-Huangbai group， the high-dose Zhimu-Huangbai group exhibited a significant increase in the uterine index and BMD， and a significant reduction in body mass and PPARγ and Chemerin mRNA expression （P＜0.05 or P＜0.01）. Compared to high-dose Zhimu-Huangbai group， the estradiol group showed a decrease in uterine index， BV/TV， Tb.N， Tb.Th， BMD， and BMP-2 mRNA expression， while the levels of IL-1β， TNF-α， and IL-6， as well as Tb.Sp and the mRNA expressions of PPARγ， chemerin， and CMKLR1 increased （P＜0.05 or P＜0.01）. ConclusionThe Zhimu-Huangbai medicinal pair can alleviate PMOP bone loss， and its mechanism of action is related to reducing the levels of inflammatory factors， correcting the disorder of osteogenic-adipogenic differentiation of bone marrow mesenchymal stem cells （BMSCs）， and promoting the differentiation of BMSCs into osteoblasts.

To address the problem of large reconstruction errors in 3D pulse signals caused by excessively small out-of-plane displacement of the contact membrane in the existing traditional Chinese medicine fingertip tactile binocular vision detection technology, this study proposes a 3D pulse image detection method based on subtle motion magnification technology and explores its application in pulse pattern recognition. Firstly, a 3D pulse image detection system based on binocular vision to obtain pulse image signals is developed as experimental data. Then, the phase motion video magnification algorithm is used to amplify the original signals, and the amplified signals are reconstructed in three dimensions to obtain 3D pulse signals. On this basis, nine features are extracted from the 3D pulse signals and features selection is performed using a two-sample Kolmogorov-Smirnov test. Finally, machine learning algorithms such as decision trees and random forests are used to identify the five types of pulse conditions: deep pulse, intermittent pulse, flooding pulse, slippery pulse, and rapid pulse. The experimental results show that compared to the methods without subtle motion magnification technology, the proposed method significantly improves waveform clarity, amplitude stability, and periodic regularity. Meanwhile, the average accuracy in pulse pattern recognition reaches 96.29%±0.26%.
Algorithms ; Imaging, Three-Dimensional/methods* ; Pattern Recognition, Automated ; Medicine, Chinese Traditional ; Motion ; Humans ; Pulse ; Signal Processing, Computer-Assisted ; Machine Learning

Stroke is a critical health issue in China, and carotid artery stenosis and plaque play key roles in its prevalence. Despite the acknowledged significance of this condition, detailed information regarding the prevalence of carotid artery stenosis and plaque across the Chinese population has been scarce. This study analyzed data from the China Stroke High-risk Population Screening and Intervention Program for 2020-2021, focusing on 194 878 Chinese adults aged 40 years and above. It assessed the prevalence of carotid artery stenosis and plaque and identified their associated risk factors. Results revealed a standardized prevalence of 0.40% for carotid artery stenosis and 36.27% for carotid plaque. Notably, the highest rates of stenosis were observed in north and south China at 0.61%, while southwestern China exhibited the highest plaque prevalence at 43.17%. Key risk factors included older age, male gender, hypertension, diabetes, stroke, smoking, and atrial fibrillation. This study highlights significant geographical and demographic disparities in the prevalence of these conditions, underlining the urgent need for targeted interventions and policy reforms. These measures are essential for reducing the incidence of stroke and improving patient outcomes, addressing this significant health challenge in China.
Humans ; China/epidemiology* ; Male ; Female ; Prevalence ; Middle Aged ; Carotid Stenosis/epidemiology* ; Risk Factors ; Aged ; Adult ; Plaque, Atherosclerotic/epidemiology* ; Stroke/epidemiology* ; Aged, 80 and over

OBJECTIVES: This study aimed to construct a risk prediction model for the occurrence of the demora-lization syndrome in patients with oral cancer and provide a scientific basis for the prevention of this syndrome in patients with oral cancer and the development of personalized care programs. METHODS: A total of 486 patients with oral cancer in West China Hospital of Stomatology of Sichuan University and Sun Yat-sen Memorial Hospital of Sun Yat-sen University from 2024 March to July were selected by convenience sampling. We integrated clinical data and evidence from previous studies to identify the key variables affecting the demoralization syndrome in patients with oral cancer. The 486 patients were divided into a training set and a validation set in an 8∶2 ratio. A clinical risk prediction model was established based on the individual data of 365 patients in the development cohort. Through least absolute shrinkage and selection operator (LASSO) regression, a moderate to severe risk prediction model of demoralization syndrome in oral cancer was constructed, and a clinical machine-learning nomogram was constructed. Bootstrap resampling was used for internal validation. The data of 121 patients in the validation cohort were externally validated. RESULTS: The incidence of the demoralization syndrome in patients with oral cancer was 405 cases (83.3%), of which 279 cases (57.4%) were mild, 176 cases (36.2%) were moderate, and 31 cases (6.4%) were severe. The core model, including patient education level, disease understanding, and MDASI-HN score, was used to predict the risk of outcome. Internal validation of the model yielded C statistic of 0.783 6 (95% CI: 0.78-0.87), beta of 0.843 4, and calibration intercept of -0.040 6. Through external validation, the validation set C statistic was 0.80 (95%CI: 0.71-0.87), beta was 0.80, and calibration intercept was -0.08. CONCLUSIONS Our risk prediction mo-del of the demoralization syndrome in patients with oral cancer performed robustly in validation cohorts of different nur-sing environments. The model has good correction and good discrimination and can be used as an evaluation and prediction item at admission.
Humans ; Mouth Neoplasms/complications* ; Male ; Female ; Nomograms ; Middle Aged ; Syndrome ; Aged ; Adult ; Risk Factors ; Risk Assessment ; Machine Learning

In the context of medical insurance payment reform,the sample hospital has implemented performance management optimization to effectively address the challenges posed by diagnosis-intervention packet(DIP)payment.Reform measures focused on disease quality,rational diagnosis and treatment,operational management,medical technological value,and policy orientation,and they have significantly optimized service ability and performance evaluation indexes of the hospital.Main achievements included a reduction in the cost consumption index and an increase in the clinical performance index,with the overall DIP payment rate increasing from 88.86%to 103.23%and a marked improvement in operational management.The quality control and operational efficiency of the hospital have been effectively enhanced by choosing proper DIP payment evaluation indexes and improving performance management,and provided strong support for the high-quality development of the hospital.

Objective To investigate and evaluate the nutrition status in serum 25-hydroxy vitamin D[25(OH)D]levels of 0～12 years old children in Xi'an.Methods A total of 2 670 patients aged 0～12 years old who underwent routine physical examinations in Children's Health Department of the Second Hospital of Air Force Medical University were selected from March 2020 to July 2023,and the 25(OH)D data of these patients were conducted in retrospective analysis.The nutritional status of vitamin D in these children of different genders,ages and seasons were also analyzed.Results ①This study included 2 670 children aged 0～12 years old in Xi'an,with the average level of serum 25(OH)D was 40.80±18.00 ng/ml.Among them,38 cases(1.42%)had serum 25(OH)D deficiency,333 cases(12.47%)had serum 25(OH)D insufficience,and 2 299 cases(86.11%)had sufficient serum 25(OH)D.②There was a statistically significant difference in serum 25(OH)D levels among different age groups(H=1 524.23,P=0.000).The group aged 1～<4 has the highest value of 52.51±13.57 ng/ml,while the group aged 8～12 has the lowest value of 21.65±6.75 ng/ml.③The levels of serum 25(OH)D in summer(39.44±17.46 ng/ml)were lower than those in spring(41.96±17.76 ng/ml)and autumn(42.71±18.15 ng/ml),with statistical significant differences(Z=101.57,-134.06,all P<0.01).However,the deficiency and inadequate rate of serum 25(OH)D in winter(18.95%)was higher than those in spring,summer and autumn(13.52%,12.75%,12.36%),with statistical significant differences(χ2=14.32,P=0.026).④There was no statistically significant difference in serum 25(OH)D levels between genders(H=0.933,P=0.351).However,the deficiency and inadequate rate of serum 25(OH)D in boys(12.51%)was lower than that in girls(15.46%),and the difference was statistically significant(χ2=9.257,P=0.010).Conclusion The nutritional status of serum 25(OH)D in children aged 0～12 years in Xi'an area is comparatively fine,and it is necessary to strengthen the intake and supplementation of vitamin D in over 3 years old children.

Objective:To explore the value of applying multiple genetic testing techniques for the prenatal diagnosis of Turner syndrome fetuses with complex mosaic small supernumerary marker chromosomes (sSMC).Methods:Chromosomal karyotypes of amniotic fluid samples from 5 030 pregnant women who had undergone amniocentesis at the Prenatal Diagnosis Center of the Third Affiliated Hospital of Zhengzhou University from January to December 2022 were retrospectively reviewed. Three fetuses with complex mosaicism fetuses (carrying 2 types of sSMC) were selected as the study subjects. Genetic tests including G-banded chromosomal karyotyping analysis, fluorescence in situ hybridization (FISH), chromosomal microarray analysis (CMA), and copy number variation sequencing (CNV-seq) were used to clarify the origin and mosaic status of the sSMC. This study has been approved by the Medical Ethics Committee of the Third Affiliated Hospital of Zhengzhou University (No. 2023-159-01).Results:G-banded chromosomal analysis of fetus 1 showed a karyotype of 45, X[64]/46, X, + mar1[13]/46, X, + mar2[3]. FISH results showed that 52% of of its cells had contained one X chromosome signal, whilst 48% contained two X chromosome signals. CMA results revealed the fetus had harbored a 32.32 Mb and a 50.93 Mb deletion in Xp22.33p21.1 and Xq22.2q28 regions, respectively, in addition with mosaic deletions of approximately 1.43 copies, 1.78 copies and 1.43 copies in the Xp21.1p11.1, Xq11.1q21.1 and Xq21.2q22.2 regions, respectively. The fetus 2 had a karyotype of 45, X[27]/46, X, + mar1[14]/46, X, + mar2[12]. FISH results indicated that 88% of its cells contained one X chromosomes signal and two Y chromosome signals, and 12% contained signals for one X chromosomes signal and one Y chromosome signal. CNV-seq results revealed a deletion of 7.74 Mb in the Yq11.222q11.23 region and a mosaic duplication of approximately 1.738 copies in the Yp11.31q11.221 region. The fetus 3 had a karyotype of 45, X[60]/46, X, + mar1[11]/46, X, + mar2[6]. FISH results showed that 28% of its cells contained one X chromosome signal, and 72% contained tow X chromosome signals. CNV-seq results revealed deletions of 55.60 Mb and 53.50 Mb in the Xp22.33p11.1 and Xq22.1q28 regions, respectively, along with a mosaic deletion of approximately 1.85 copies in the Xp11.1q13.2 region and a mosaic repeats of approximately 2.66 copies in the Xq13.2q22.1 region. The sSMCs in the 3 fetuses had all originated from sex chromosomes and were of complex mosaic type. After genetic counseling, the three couples had all opted to terminate the pregnancy.Conclusion:The combined use of multiple genetic testing techniques has determined the origin and structure of complex mosaic sSMCs and provided a basis for prenantal diagnosis and genetic counseling.

Objective To investigate the neuroprotective effect and mechanism of salvia polyphenolic acid for injection (SAFI) on cerebral ischemia-reperfusion injury in rats. Methods A total of 100 SD rats were randomly divided into sham surgery group,model group,low-,medium-and high-dose (5,10,20 mg·kg-1) salvia polyphenolic acid groups,with 20 rats in each group. After being continuously administrated by intraperitoneal injection of SAFI once daily for three days,the rat model of middle cerebral artery occlusion/reperfusion (MCAO/R) was established using the thread embolization method at 1 hour after the last administration. The neurological deficit of rats was evaluated by Zea Longa score. The cerebral infarction volume was detected by 2,3,5-triphenyltetrazolium chloride(TTC) staining. The levels of serum NADPH oxidase(NOX),4-hydroxynonanal(4-HNE),8-hydroxydeoxyguanosine (8-OHdG),monocyte chemoattractant protein-1 (MCP-1),tumor necrosis factor-α(TNF-α),interleukin-1β(IL-1β),interleukin-18(IL-18),interleukin-6(IL-6),and intercellular adhesion molecule-1 (ICAM-1) were detected by ELISA kits. Hematoxylin-eosin (HE) staining and Nissl staining were used to observe the pathological changes of brain tissue and the morphology of neurons. The apoptosis of neuronal cells in brain tissue was detected by TUNEL. Immunofluorescence staining was used to detect the expression level of glial fibrillary acidic protein (GFAP) in brain tissue. Western Blot was used to detect the protein expression of NLRP3 and Caspase1 in brain tissue. Results Compared with the sham surgery group,neurological deficit scores in model group increased remarkably (P<0.01). The cerebral infarction volume increased significantly (P<0.01). Serious pathological damage of brain was observed,and neuronal density decreased significantly(P<0.01). The apoptosis rate of cortical cells increased obviously (P<0.01). The levels of serum NOX,4-HNE,8-OHdG,MCP-1,TNF-α,IL-1β,IL-18,IL-6 and ICAM-1 increased significantly (P<0.05,P<0.01). The protein expression of GFAP,NLRP3 and Caspase1 in brain significantly upregulated (P<0.01). Compared with the model group,neurological deficit scores in medium-and high-dose SAFI groups decreased remarkably (P<0.01). The cerebral infarction volume decreased significantly (P<0.01). Neuronal damage was ameliorated to varying degrees,and neuronal density increased significantly(P<0.05,P<0.01). The apoptosis rate of cortical cells decreased obviously (P<0.01). The levels of serum NOX,4-HNE,8-OHdG,MCP-1,TNF-α,IL-1β,IL-18,IL-6 and ICAM-1 decreased significantly (P<0.05,P<0.01). The protein expression of GFAP,NLRP3 and Caspase1 in brain significantly downregulated(P<0.01). Conclusion SAFI has a protective effect on MCAO/R rats,which can significantly reduce oxidative stress and inflammatory responses,thereby reducing pathological damage and apoptosis of brain tissue. Its mechanism may be related to the inhibition of NLRP3/Caspase-1 signaling pathway and astrocyte activation.

Rabies is a zoonotic disease that poses a global public health threat.Rabies virus(RABV)is neurotropic and can cause severe neurological disorders and behavioral abnormalities in host,with a fatality rate nearly 100％.In order to identify the key genes for RABV affecting neuronal cell function,we established and analyzed the mRNA expression profile of Neuro-2a(N2a)cell in-fected with challenge virus standard(CVS)-11 by RNA sequencing(RNA-seq).Biological func-tions of differentially expressed genes(DEGs)were determined by GO and KEGG enrichment a-nalysis.The results showed that there were 415 differentially expressed genes in N2a infected with CVS-11 strain,of which 89 were up-regulated and 326 were down-regulated.These genes were re-lated to a variety of biological processes,such as axon guidance pathway,cholesterol metabolism pathway,nitrogen metabolism pathway,and glycosphingolipid biosynthesis pathway,many of them have been shown to be closely associated with RABV infection.A total of 12 DEGs related to axon conduction,antigen processing and presentation pathways were selected and detected by real-time PCR,and their expression trends were consistent with the RNA-seq results.The genomic tran-scriptomic data on N2a cell under RABV infection will provide new clues for probing the mecha-nisms of RABV infection and transmission in the nervous system in the future.