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 evaluate the radiation impact of a self-developed digital miniature CT on the human body and the environment under simulated scanning conditions, and verify its safety and regulatory compliance. Methods Under typical head scanning conditions with the digital miniature CT (70 kV/10 mA), the equivalent doses received at the body surface sites corresponding to the thyroid, breast, stomach, liver, kidney, and gonads of the phantom were measured without protection and with 0.5 mmPb equivalent protection using LiF (Mg, Cu, P) thermoluminescent dosimeters. The ambient dose equivalent rates at the bed level inside the CT room at different directions and distances from the scanning center were measured using a model AT1121 X/γ dosimeter. The equivalent doses of organs on both sides of the phantom and the ambient equivalent dose rates on the left and right sides of the longitudinal axis of the bed in the CT room were compared. The Mann-Whitney test was used at a significance level of P < 0.05. Results During a single scan of the head with the digital miniature CT, the equivalent doses at the body surface sites corresponding to the thyroid, breast, stomach, liver, kidney, and gonads without protection were 1.04, 0.95, 0.55, 0.57, 0.40, and 0.12 mSv, respectively, which were only 0.84% to 8.24% of the doses inside the irradiation field. With 0.5 mm Pb equivalent protection, the equivalent dose of the thyroid decreased from 8.24 mSv to 3.27 mSv with a reduction of 60.3%, and the doses of the other organs were reduced to 1.5-11.5 μSv with the maximum reduction of 14 times. In the longitudinal axis direction of the CT bed, the ambient dose equivalent rate at a distance of 2 m from the scanning center was reduced to 0.066 mSv/h, which was only 9.6% of the ambient equivalent dose rate at a distance of 50 cm from the scanning center. Conclusion The digital miniature CT has advantages in ensuring patient safety, optimizing imaging quality, and promoting technological development, demonstrating promising application potential. However, the radiation protection of personal and CT room should not be ignored.

Objective:To analyze the gene chip related to dermatomyositis based on bioinformatics,to explore the immune in-filtration mechanism of key genes in dermatomyositis by CIBERSORT deconvolution algorithm,and to predict the therapeutic targets of dermatomyositis by network pharmacology.Methods:The gene microarray of dermatomyositis was searched in GEO database,and the differentially coexpressed genes were screened and analyzed.The differentially coexpressed genes were analyzed by GO analysis,KEGG analysis,protein interaction network construction(PPI)by R software package.Verify the expression levels of key genes,and the correlation of immune cell infiltration was analyzed by CIBERSORT deconvolution method.Through the medical ontology informa-tion retrieval platform Coremine medical database,the traditional Chinese medicine treatment targets of dermatomyositis were screened and summarized.Results:A total of 196 differentially expressed genes were screened.GO enrichment analysis showed that these differentially expressed genes were mainly concentrated in defense response to virus,blood particles,double-stranded RNA binding,polypeptide antigen binding,and so on.KEGG enrichment analysis showed that it was enriched in RIG-Ⅰ-like receptor sig-nal pathway,Toll-like receptor signal pathway and other signal pathways related to the pathogenesis of dermatomyositis.Finally,four key genes of dermatomyositis,STAT1,ISG15,IRF7 and IRF9 were obtained.Through CIBERSORT algorithm,M1 macrophages,M2 macrophages and CD8+T cells were the three kinds of cells with the highest average proportion and the most obvious immune infil-tration,and there was a significant positive correlation between activated natural killer cells and activated dendritic cells,while there was a significant negative correlation between resting mast cells and activated mast cells.The therapeutic targets of traditional Chinese medicine such as fish brain stone were predicted based on Coremine medical database;through channel analysis,it could be found that these traditional Chinese medicines are mainly attributed to liver meridian,lung meridian,spleen meridian;efficacy analysis is mainly focused on clearing heat,detoxification,promoting blood circulation and removing blood stasis,relieving cough and resolving phlegm and so on.Conclusion:Four key genes and some key signal pathways of dermatomyositis,STAT1,ISG15,IRF7 and IRF9 were obtained by bioinformatics method,the immune infiltration mechanism was analyzed by CIBERSORT algorithm,and the thera-peutic potential targets of traditional Chinese medicine were screened out to provide direction for the pathogenesis and treatment of der-matomyositis.

Objective To investigate whether the geometric triangular relationship between the Blumensaat line and the tibial plateau can serve as an auxiliary diagnostic index for identifying and evaluating anterior cruciate ligament(ACL)injuries,thereby enhancing diagnostic accuracy.Methods A retrospective self-controlled study was conducted involving 64 patients diagnosed with unilateral ACL injury via arthroscopy and treated with ACL reconstruction at Qingdao Municipal Hospital from January to August 2023.Ultimately,40 cases were included in the analysis.Preoperative MRI images of the affected knees and contralateral healthy knees were collected as the ACL injury group and control group,respectively.In the MRI images,point C,point D,and point E were defined as the anterior end,posterior end,and midpoint of the Blumensaat line,respectively;point A and point B were defined as the turning points of the anterior and posterior edges of the tibial plateau,respectively;and point C'was defined as the intersection of the extension line of DC and line AB.Based on these anatomical landmarks,angles ∠DAB,∠CEB,∠DC'B,and ∠CDB were established.The intra-class correlation coefficient(ICC)was calculated to assess measurement consistency and reproducibility.Differences between the aforementioned angles were compared,and the area under the receiver operating characteristic(ROC)curve was computed to evaluate diagnostic performance.Results For ∠CDB,∠DC'B,∠CEB,and ∠DAB,the intra-group and inter-group correlation coefficients all exceeded 0.80,indicating excellent consistency and reproducibility.Compared to the control group,the angles ∠CDB,∠CEB,and ∠DAB in the ACL injury group were significantly reduced(P<0.001).Among these,∠DAB appears to be the most reliable index for diagnosing and evaluating ACL injuries,with an area under the receiver operating characteristic curve(AUC)of 0.829,a cut-off value of 42.2°,a sensitivity of 82.5%,and a specificity of 80.0%.Conclusion The geometric triangular relationship between the Blumensaat line and the tibial plateau in MRI images,particularly the angle ∠DAB,can serve as an auxiliary indicator for diagnosing and evaluating ACL injuries,thereby enhancing diagnostic accuracy.

Objective To investigate whether the geometric triangular relationship between the Blumensaat line and the tibial plateau can serve as an auxiliary diagnostic index for identifying and evaluating anterior cruciate ligament(ACL)injuries,thereby enhancing diagnostic accuracy.Methods A retrospective self-controlled study was conducted involving 64 patients diagnosed with unilateral ACL injury via arthroscopy and treated with ACL reconstruction at Qingdao Municipal Hospital from January to August 2023.Ultimately,40 cases were included in the analysis.Preoperative MRI images of the affected knees and contralateral healthy knees were collected as the ACL injury group and control group,respectively.In the MRI images,point C,point D,and point E were defined as the anterior end,posterior end,and midpoint of the Blumensaat line,respectively;point A and point B were defined as the turning points of the anterior and posterior edges of the tibial plateau,respectively;and point C'was defined as the intersection of the extension line of DC and line AB.Based on these anatomical landmarks,angles ∠DAB,∠CEB,∠DC'B,and ∠CDB were established.The intra-class correlation coefficient(ICC)was calculated to assess measurement consistency and reproducibility.Differences between the aforementioned angles were compared,and the area under the receiver operating characteristic(ROC)curve was computed to evaluate diagnostic performance.Results For ∠CDB,∠DC'B,∠CEB,and ∠DAB,the intra-group and inter-group correlation coefficients all exceeded 0.80,indicating excellent consistency and reproducibility.Compared to the control group,the angles ∠CDB,∠CEB,and ∠DAB in the ACL injury group were significantly reduced(P<0.001).Among these,∠DAB appears to be the most reliable index for diagnosing and evaluating ACL injuries,with an area under the receiver operating characteristic curve(AUC)of 0.829,a cut-off value of 42.2°,a sensitivity of 82.5%,and a specificity of 80.0%.Conclusion The geometric triangular relationship between the Blumensaat line and the tibial plateau in MRI images,particularly the angle ∠DAB,can serve as an auxiliary indicator for diagnosing and evaluating ACL injuries,thereby enhancing diagnostic accuracy.

Objective To evaluate the respective or synergistic value of cytoplasmic tryptophan-tRNA ligase(WARS1/SYWC)and adenosine deaminase(ADA)in diagnosing tuberculous pleural effusion(TPE).Methods A retrospective analysis was conducted on 120 patients with pleural effusion(64 cases of TPE,56 cases of non-TPE)admitted to the First Affiliated Hospital of Jinan University and its affiliated Shunde Hospital from January 2020 to December 2024.Pleural fluid SYWC levels were identified using enzyme-linked immunosorbent assay(ELISA).Univariate and multivariate logistic regression analyses were performed to identify diagnostic predictors,while receiver operating characteristic(ROC)curves were plotted to assess the diagnostic perfor-mance of individual and combined biomarkers.Results Compared to the non-TPE group,TPE group exhibited significantly younger age,lower pleural CEA,less serum CEA,and lower neutrophil-to-lymphocyte ratio(NLR),but significantly higher levels of pleural ADA,total protein,SYWC,and serum CRP(all P<0.05).Univariate analysis identified age,pleural CEA,carbohydrate antigen 199,ADA,SYWC,serum CEA,and NLR as potential predictors.Multivariate analysis confirmed pleural ADA(OR=1.064,95%CI:1.017～1.228)and SYWC(OR=6.695,95%CI:2.794～16.04)as independent diagnostic factors.At optimal cutoffs,SYWC(16.94 μg/L)demonstrated a sensitivity of 71.80%and specificity of 98.21%,while ADA(36.5 U/L)showed a sensitivity of 93.75%and a specificity of 89.29%.Combined detection increased the sensitivity to 95.56%,the specificity to 98.0%,and the accuracy to 97.87%.ROC analysis revealed an AUC of 0.973(95%CI:0.943～1.000)for the combination,outperforming ADA(0.897)and SYWC(0.938)alone.Conclusion The combi-nation of SYWC and ADA notably enhances diagnostic efficacy for TPE,providing high sensitivity and specificity as a reliable tool for clinical differentiation.

Objective To evaluate the respective or synergistic value of cytoplasmic tryptophan-tRNA ligase(WARS1/SYWC)and adenosine deaminase(ADA)in diagnosing tuberculous pleural effusion(TPE).Methods A retrospective analysis was conducted on 120 patients with pleural effusion(64 cases of TPE,56 cases of non-TPE)admitted to the First Affiliated Hospital of Jinan University and its affiliated Shunde Hospital from January 2020 to December 2024.Pleural fluid SYWC levels were identified using enzyme-linked immunosorbent assay(ELISA).Univariate and multivariate logistic regression analyses were performed to identify diagnostic predictors,while receiver operating characteristic(ROC)curves were plotted to assess the diagnostic perfor-mance of individual and combined biomarkers.Results Compared to the non-TPE group,TPE group exhibited significantly younger age,lower pleural CEA,less serum CEA,and lower neutrophil-to-lymphocyte ratio(NLR),but significantly higher levels of pleural ADA,total protein,SYWC,and serum CRP(all P<0.05).Univariate analysis identified age,pleural CEA,carbohydrate antigen 199,ADA,SYWC,serum CEA,and NLR as potential predictors.Multivariate analysis confirmed pleural ADA(OR=1.064,95%CI:1.017～1.228)and SYWC(OR=6.695,95%CI:2.794～16.04)as independent diagnostic factors.At optimal cutoffs,SYWC(16.94 μg/L)demonstrated a sensitivity of 71.80%and specificity of 98.21%,while ADA(36.5 U/L)showed a sensitivity of 93.75%and a specificity of 89.29%.Combined detection increased the sensitivity to 95.56%,the specificity to 98.0%,and the accuracy to 97.87%.ROC analysis revealed an AUC of 0.973(95%CI:0.943～1.000)for the combination,outperforming ADA(0.897)and SYWC(0.938)alone.Conclusion The combi-nation of SYWC and ADA notably enhances diagnostic efficacy for TPE,providing high sensitivity and specificity as a reliable tool for clinical differentiation.

Objective:To analyze the gene chip related to dermatomyositis based on bioinformatics,to explore the immune in-filtration mechanism of key genes in dermatomyositis by CIBERSORT deconvolution algorithm,and to predict the therapeutic targets of dermatomyositis by network pharmacology.Methods:The gene microarray of dermatomyositis was searched in GEO database,and the differentially coexpressed genes were screened and analyzed.The differentially coexpressed genes were analyzed by GO analysis,KEGG analysis,protein interaction network construction(PPI)by R software package.Verify the expression levels of key genes,and the correlation of immune cell infiltration was analyzed by CIBERSORT deconvolution method.Through the medical ontology informa-tion retrieval platform Coremine medical database,the traditional Chinese medicine treatment targets of dermatomyositis were screened and summarized.Results:A total of 196 differentially expressed genes were screened.GO enrichment analysis showed that these differentially expressed genes were mainly concentrated in defense response to virus,blood particles,double-stranded RNA binding,polypeptide antigen binding,and so on.KEGG enrichment analysis showed that it was enriched in RIG-Ⅰ-like receptor sig-nal pathway,Toll-like receptor signal pathway and other signal pathways related to the pathogenesis of dermatomyositis.Finally,four key genes of dermatomyositis,STAT1,ISG15,IRF7 and IRF9 were obtained.Through CIBERSORT algorithm,M1 macrophages,M2 macrophages and CD8+T cells were the three kinds of cells with the highest average proportion and the most obvious immune infil-tration,and there was a significant positive correlation between activated natural killer cells and activated dendritic cells,while there was a significant negative correlation between resting mast cells and activated mast cells.The therapeutic targets of traditional Chinese medicine such as fish brain stone were predicted based on Coremine medical database;through channel analysis,it could be found that these traditional Chinese medicines are mainly attributed to liver meridian,lung meridian,spleen meridian;efficacy analysis is mainly focused on clearing heat,detoxification,promoting blood circulation and removing blood stasis,relieving cough and resolving phlegm and so on.Conclusion:Four key genes and some key signal pathways of dermatomyositis,STAT1,ISG15,IRF7 and IRF9 were obtained by bioinformatics method,the immune infiltration mechanism was analyzed by CIBERSORT algorithm,and the thera-peutic potential targets of traditional Chinese medicine were screened out to provide direction for the pathogenesis and treatment of der-matomyositis.

Objective:To analyze the passive smoking exposure and its influencing factors in non-smokers aged≥18 in Tianjin.Methods:This was a cross-sectional study. Based on the 2018 Tianjin Adults Noncommunicable Disease and Nutrition Surveillance, non-smokers aged≥18 years old at 7 surveillance sites were selected as the research objects, taking 2018 population data of Tianjin as the standard population, the sample data were weighted to analyze the general demographic characteristics, the level of passive smoking exposure, the cognition of tobacco harm, and the influencing factors of passive smoking exposure. Pearson χ 2 test was used to compare the rate between groups, and the influencing factors were analyzed by unconditional logistic regression. Results:After weighted, the passive smoking exposure rate was 51.5%, among non-current smokers, the awareness rates of smoking related lung cancer and passive smoking related adult lung cancer were 83.3% and 80.0%, respectively. The awareness rates of smoking related stroke and passive smoking related heart disease in adults were 61.4% and 66.4%, respectively. The awareness rate that smoking related stroke was higher in the non-passive smoking exposed group than in the secondhand smoke exposed group (62.7% vs 60.3%, P<0.05). There was no statistical difference in the awareness rate of smoking related heart attacks and lung cancer as well as passive smoking related adult heart disease, adult lung cancer, and lung disease in children between the passive smoking exposed group and the non-passive smoking exposed group (all P>0.05). The awareness rate of smoking related three diseases (stroke, heart attack and lung cancer) was 57.9% and the awareness rate of passive smoking related three diseases (heart disease in adults, lung cancer and lung disease in children) was 64.9% in non-current smokers. Among men, undergraduate or above was a protective factor for second-hand smoke exposure. Heads, clerical and related personnel of state organs, party and mass organizations, enterprises and public institutions were risk factors for secondhand smoke exposure. Among women, age ≥60 years and high education were protective factors for secondhand smoke exposure. Conclusions:Non smokers aged 18 and above in Tianjin have a higher level of passive smoking exposure, and the awareness rate of tobacco exposure related cardiovascular diseases is low. In future, the health education of relevant knowledge should be strengthened.

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.