Objective: To identify biomolecular markers closely related to the occurrence of kidney renal clear cell carcinoma (KIRC) and verify their expression levels in clinical samples. Methods: Stage Ⅰ KIRC mRNA sequencing data were obtained from The Cancer Genome Atlas (TCGA).Principal component analysis (PCA) was used for dimensionality reduction to screen differentially expressed genes (DEGs)，which then underwent GO and KEGG analyses.Weighted gene co-expression network analysis (WGCNA) was used to screen genes significantly related to KIRC，and a protein-protein interaction (PPI) network was constructed to screen hub genes.The diagnostic value of hub genes was evaluated with receiver operating characteristic (ROC) curve，and their prognostic value was analyzed using survival curve plots.The correlation between the mRNA expressions of hub genes and the pathological stages of KIRC was analyzed.Clinical samples of 20 patients with stage Ⅰ KIRC treated in our hospital were included，and the expressions of the hub genes in cancerous and adjacent tissues were detected with reverse transcription real-time quantitative polymerase chain reaction (RT-qPCR)，Western blotting，and enzyme-linked immunosorbent assay (ELISA). Results: A total of 8223 DEGs were screened out，including 4092 up-regulated ones and 4131 down-regulated ones.GO analysis showed that DEGs were related to bioadhesion，plasma membrane composition，and transporter activity.KEGG analysis showed that DEGs were related to pathways such as cell adhesion molecules，cytokine-cytokine receptor interactions，and interactions between viral proteins and cytokines and cytokine receptors.WGCNA analysis obtained 171 genes that were significantly related to stage Ⅰ KIRC.The hub gene，lymphocyte cytosolic protein 2 (LCP2)，screened out by the PPI network，was significantly related to stage Ⅰ KIRC.The area under the ROC curve was 0.96.The expression level was negatively correlated with the overall survival rate of patients.The expression of LCP2 was related to the stage and lymph node metastasis.Clinical verification showed that the mRNA and protein relative expressions of LCP2 in KIRC tissues were significantly higher than those in adjacent tissues (P<0.000 1). Conclusion: LCP2 is significantly up-regulated in stage Ⅰ KIRC tissues and can be used as a potential biomarker for the early diagnosis and treatment of KIRC.

OBJECTIVE: To analyze the demographic and clinical characteristics of inpatients with osteoporotic vertebral compression fractures (OVCF) and provide a basis for clinical prevention and treatment. METHODS: A retrospective analysis was performed on the clinical data of 744 inpatients diagnosed with OVCF between January 2017 and December 2021 who met the inclusion criteria. Among them, 146 were male and 598 were female, with age ranging from 50 to 95 years (mean, 69.37 years). The demographic characteristics (gender, age, ethnicity, occupation, regional distribution, urban-rural distribution, and seasonal incidence) and clinical features [causes of injury, history of vertebral fractures, smoking and drinking history in males, comorbidities (hypertension, diabetes, coronary atherosclerotic heart disease, cerebral infarction), body mass index (BMI), blood lipid levels, menopausal age in females, vertebral bone mineral density T-value, number of vertebral fractures, and fracture segment distribution] of OVCF patients were analyzed. Multiple linear regression was used to analyze the independent risk factors of vertebral osteoporosis. RESULTS: The demographic analysis indicated that female patients with OVCF were significantly younger than male patients ( P<0.05). Significant differences were observed in the age distribution of OVCF between males and females ( P<0.05), with the highest proportion of male patients in the 70-79 years group (37.0%) and the highest proportion of female patients in the 60-69 years group (40.0%). From 2017 to 2021, the age of onset for OVCF gradually increased, with a similar trend observed for both genders. The distribution of occupations between genders also showed significant differences ( P<0.05); with the top three occupations for males being farmers (48.6%), retirees (24.7%), and workers (13.7%), while for females, the leading occupations were farmers (51.5%), retirees (19.4%), and service workers (10.0%). Female OVCF patients had higher BMI, vertebral bone mineral density T-value, history of vertebral fractures, hypertension prevalence, and blood lipid levels compared to male patients ( P<0.05). No significant difference between the males and the females was found in ethnicity, seasonal distribution, regional distribution, urban-rural distribution, causes of injury, number of vertebral fractures, or prevalence of comorbidities (except hypertension) ( P>0.05). Among the 744 OVCF patients, a total of 1 309 vertebrae were involved, with 628 thoracic vertebrae (48.0%) and 681 lumbar vertebrae (52.0%). The most common fracture segments were L ₁ (22.5%), T ₁₂ (21.2%), followed by L ₂ (12.2%) and T ₁₁ (10.2%). No significant gender difference was observed in the distribution of fracture segments ( P>0.05). Multiple linear regression analysis indicated that older age, female, and lower BMI were independent risk factors for vertebral osteoporosis ( P<0.05). CONCLUSION The age of onset of OVCF patients is increasing year by year. The number of fractured vertebral bodies, age distribution of morbidity, occupational distribution, BMI, history of vertebral fracture, hypertension, and blood lipid levels are related to gender. The occurrence of OVCF is mainly in the thoracolumbar segment. The female, older age, and lower BMI are independent risk factors of osteoporosis.
Humans ; Male ; Female ; Aged ; Middle Aged ; Retrospective Studies ; Spinal Fractures/etiology* ; Aged, 80 and over ; Osteoporotic Fractures/etiology* ; Fractures, Compression/etiology* ; Risk Factors ; Bone Density ; China/epidemiology* ; Osteoporosis/epidemiology* ; Comorbidity ; Inpatients ; Sex Factors ; Age Factors

Objective To investigate the dosimetry effect of Sum Plan and Bias Plan in the Monaco planning system for the addition of compensatory agents after left breast cancer surgery.Methods Twenty-nine patients with radical left mastectomy who received radiotherapy in this hospital from March 2023 to Feb-ruary 2024 were selected as the study objects.Based on the Monaco planning system and under the same opti-mal conditions,Sum Plan and Bias Plan were used to design the second-course plan based on the first-course plan.Sum Plan C1 and Bias Plan C2 were generated to compare the dosimetry differences of intensity modula-ted radiotherapy(IMRT)plans under the two dosimetric superposition methods.Results Compared with Sum Plan C1,the conformability index(CI)in the planned target area(PTV)of Bias Plan C2 was worse,the homogeneity index(HI)was better,and the mean cardiac dose(Dmean),V5,V10,V30,V40 in the organs at risk were better than that of Sum Plan C1.The Dmean,V5,V20 and contralateral V5 in the affected lung were lower,while the V5,V10,V15,V20,V25,V30 in the normal tissue were lower,while V35 was higher,and the number of subfields and machine hops were more,the difference was statistically significant(P＜0.05).Conclusion Bias Plan dose overlay method was proposed in the design of segmental radiotherapy with compensator after left breast cancer surgery.

Bone defect has always been a major clinical challenge because of its great difficulty and long period of treatment. Drynariae Rhizoma is a commonly used medicine in osteology and traumatology of traditional Chinese medicine， and its active ingredients（mainly flavonoids） facilitate osteoblast differentiation of bone marrow mesenchymal stem cells， osteoclast proliferation， vascular-osteogenic coupling， and inhibit osteoclast activity to promote bone mineralization， and repair and reconstruction of bone defect. As a good substitute for bone regeneration drugs， the active constituents of Drynariae Rhizoma can be loaded on scaffold materials of tissue engineering， which greatly improves the bioavailability of the drug. Meanwhile， the sustained-release microspheres also solve some problems such as sudden drug release from the scaffolds， and the composite scaffolds with active ingredient of Drynariae Rhizoma prepared by them have good ossification activity and osteoinduction， with precise bone repair effects， which meet the diverse performance requirements of bone grafts and have a promising clinical application prospect.

The recording and analysis of activities of calcium signals in neurons is of critical importance in the field of neuroscience.Over the past three decades,various fluorescent calcium imaging techniques not only have been used in the imaging study of functional activities of neuronal communities,but also can be combined with specific markers to record the functional activities of specific types of neuronal communities.To analyze neural activities at the cellular level,a series of preprocessing such as motion correction,cell body recognition,calcium signal extraction and peak deconvolution is required for the collected video.However,current methods for manual preprocessing are time-consuming and laborious,so computer automatic analysis technology is urgently needed to quickly repair the jitter in the video,identify the position and outline of a single cell,extract its activity trajectory and infer the action potential peak.In this paper,the methods of calcium imaging data processing used in recent years are summarized,and the future developments are predicted.

Objective To build a neural network based on the Unet infrastructure for recognition and segmentation of two-dimensional calcium imaging fluorescence images.Methods The in vivo miniaturized two-photon microscope(mTPM)was used for brain calcium imaging in freely moving mice.The imaging data was motion corrected using the NoRMCorre algorithm and processed using ImageJ software to obtain the original images after correction,and the labels were produced using the Labelme software.The neural network HDCGUnet was built using the original images and labels for training,and optimized to improve the model structure according to the training effect.Finally,the evaluation indexes were selected and compared with those of other models to verify the utility of this model.Results The HDCGUnet model,which was collected and made on our own,performed best in the two-photon calcium imaging dataset compared to other models,and performed well on the BBBC dataset either.Conclusion The HDCGUnet model provides a novel alternative for the recognition and segmentation of two-photon calcium imaging images.

A young maxillary lateral incisor of Oehlers type Ⅲ Dens invaginatus with peri-invagination periodontitis was reconstructed by CBCT,with the help of guided endodontics,the pathway to invagination was successfully established.The invaginated pseudo-root canal was treated with Vitapex mediation while preserving the pulp.After 6-month follow-up,the tooth was clinically asymptomatic.Radiological ex-amination indicated complete healing of the peri-invagination lesion with narrowed open apex,and the thickened root canal wall.

This article elaborates on the ecological mechanism of intelligent medical talent training, compares the training models of intelligent medical talents in China and globally, and combines the theory of educational ecology and the experience of intelligent medical talent training in College of Medical Informatics, Chongqing Medical University, to construct an ecological system for intelligent medical talent training from the three aspects of ecological subject, ecological object, and ecological environment, so as to realize the construction of intelligent medical discipline with the core of talent training, the focus on data construction, the support of platform service, and the purpose of medical application, thereby providing a reference for the training of comprehensive intelligent medical professionals in universities.

The eutR gene deletion mutant of Salmonella enteritidis was successfully constructed by homologous recombination.Through the study of its biochemical characteristics,motility,resist-ance to stress in vitro and survival ability in RAW 264.7 cells,it was found that the biochemical characteristics and motility of the eutR gene deletion mutant of Salmonella enteritidis had no sig-nificant change compared with the wild type of Salmonella enteritidis.The ability of eutR gene de-letion strain of Salmonella enteritidis to resist acid,alkali and oxidation was significantly reduced,while the ability to resist heat was not significantly changed;the survival ability of eutR gene dele-tion strain in RAW 264.7 cells was significantly reduced compared with the wild type.In order to further analyze the effect of eutR gene on the expression of virulence factors of Salmonella enterit-idis,the relative expression levels of invH,ssav,ssrA,xthA,orf245,sodC,lrp,mrr1 and hflk virulence genes of the deletion strain and the wild strain were detected by SYBR Green PCR.It was found that the expression of the virulence factors mentioned above in the eutR gene deletion strain of Salmonella enteritidis was significantly down-regulated compared with that in the wild-type strain.The LD50 of the eutR gene-deleted strain of Salmonella enteritidis was determined by ani-mal experiments,and the results showed that the LD50 of the eutR gene-deleted strain was higher than that of the wild-type strain,indicating that the eutR gene could affect the virulence of Salmonella.This study clarified the effect of eutR gene on the survival ability,some biological characteristics and virulence of Salmonella enteritidis in macrophages,and provided a new gene knockout target for the development of attenuated Salmonella enteritidis genetic engineering vac-cine.