Objective:To identify genetic etiology of ischemic stroke(IS)based on pleiotropy of obe-sity related genes.Methods:A discordant sib-pair study was designed based on the Fangshan family co-hort in Beijing.Body mass index(BMI)polygenic risk score(PRS)was first constructed under different P values.Using the polygenic transmission disequilibrium test(pTDT),we then compared the actual BMI genetic risk of siblings with IS to their expected risk,to analyze whether higher BMI was over-trans-mitted to siblings with IS.The single nucleotide polymorphism(SNP)that comprised the PRS over-trans-mitted with IS and that corresponded to the highest heritability of IS were identified as a pleiotropy SNPs set between BMI and IS.This set was then utilized as a candidate set to identify and verify risk SNPs as-so-ciated IS by transmission disequilibrium test.Finally,we identified independent genomic risk loci and mapped to genes,we then explored the biological function of the identified risk loci and genes by func-tional annotation and pathway enrichment.Results:A total of 541 participants were enrolled,with an average age of(58.4±8.1)years,including 326 discordant sib pairs of ischemic stroke.Compared with non-IS participants,IS participants with males,education level below junior high school,hypertension and hyperlipidemia accounted for a higher proportion(P＜0.05).For all the BMI PRS,we found that the actual genetic risk of BMI in siblings with IS was higher than their expectation,suggesting that genetic risk associated with high BMI was over-transmitted with IS.Compared with other SNP sets,the set(P＜5 × 10-4)corresponded to the best analytical statistics of pTDT and the highest heritability of IS and was identified as the pleiotropy SNP set between BMI and IS.Within this set,there were 45 SNPs having linkage and association with IS,which were located in 43 independent genomic risk loci and mapped to 40 genes.These genes were significantly enriched in the lipid metabolism pathway.The rs2232852 cor-rected by multiple tests was mapped to CYB5R1 and ADIPOR1,which were related to lipid metabolism and the ferroptosis pathway.Conclusion:Pleiotropy between BMI-related genes and IS was observed.Forty-five SNPs were found with linkage and association with IS in the pleiotropy gene set and mapped to 40 genes,which were functionally enriched in lipid metabolic pathways.The rs2232852 corrected by multiple tests during association analysis validation was mapped to CYB5R1 and ADIPOR1,which were related to lipid metabolism and the ferroptosis pathway,suggesting that lipid metabolism and ferroptosis played an important role in the development of IS.

Objective:To explore the research hotspots and trends in the radiomics field based on bibliometric for breast cancer.Methods:Publications related to radiomics for breast cancer during January 2012 to June 2024 were retrieved from the Web of Science Core Collection databases.Then,the R software's package"bibliometric"tool,VOSviewer and CiteSpace softwares were used to conduct visual analysis of radiomics-related bibliometric for breast cancer,which involved to publication trends,countries,institutions,journals,authors,keywords,and highlight keywords.Results:A total of 683 radiomics-related literatures for breast cancer were obtained,and 518 articles were finally included after non-English literatures and non-Article literatures were excluded.China and Sun Yat-sen University emerged as the leading country(326 articles)and institution(83 articles).The top three journals with the most of published articles were respectively,and.Professor Mao Ning has the largest number of articles,followed by Pinker Katja and Liang Changhong.The results of keywords and highlight keywords showed that current radiomics researches for breast cancer mainly focused on the applications of magnetic resonance imaging(MRI),machine learning,deep learning,artificial intelligence,and radiogenomics in prediction for diseases'prognosis,and assessment for treatment's response.Conclusion:The applications of machine learning,deep learning and multi-parameter imaging belongs to hot-research fields in assessment for personalized treatment.Future research directions would more and more tend to integrate artificial intelligence and multi-omics analysis,so as to promote prognostic assessment and personalized treatment.

Objective:To identify genetic etiology of ischemic stroke(IS)based on pleiotropy of obe-sity related genes.Methods:A discordant sib-pair study was designed based on the Fangshan family co-hort in Beijing.Body mass index(BMI)polygenic risk score(PRS)was first constructed under different P values.Using the polygenic transmission disequilibrium test(pTDT),we then compared the actual BMI genetic risk of siblings with IS to their expected risk,to analyze whether higher BMI was over-trans-mitted to siblings with IS.The single nucleotide polymorphism(SNP)that comprised the PRS over-trans-mitted with IS and that corresponded to the highest heritability of IS were identified as a pleiotropy SNPs set between BMI and IS.This set was then utilized as a candidate set to identify and verify risk SNPs as-so-ciated IS by transmission disequilibrium test.Finally,we identified independent genomic risk loci and mapped to genes,we then explored the biological function of the identified risk loci and genes by func-tional annotation and pathway enrichment.Results:A total of 541 participants were enrolled,with an average age of(58.4±8.1)years,including 326 discordant sib pairs of ischemic stroke.Compared with non-IS participants,IS participants with males,education level below junior high school,hypertension and hyperlipidemia accounted for a higher proportion(P＜0.05).For all the BMI PRS,we found that the actual genetic risk of BMI in siblings with IS was higher than their expectation,suggesting that genetic risk associated with high BMI was over-transmitted with IS.Compared with other SNP sets,the set(P＜5 × 10-4)corresponded to the best analytical statistics of pTDT and the highest heritability of IS and was identified as the pleiotropy SNP set between BMI and IS.Within this set,there were 45 SNPs having linkage and association with IS,which were located in 43 independent genomic risk loci and mapped to 40 genes.These genes were significantly enriched in the lipid metabolism pathway.The rs2232852 cor-rected by multiple tests was mapped to CYB5R1 and ADIPOR1,which were related to lipid metabolism and the ferroptosis pathway.Conclusion:Pleiotropy between BMI-related genes and IS was observed.Forty-five SNPs were found with linkage and association with IS in the pleiotropy gene set and mapped to 40 genes,which were functionally enriched in lipid metabolic pathways.The rs2232852 corrected by multiple tests during association analysis validation was mapped to CYB5R1 and ADIPOR1,which were related to lipid metabolism and the ferroptosis pathway,suggesting that lipid metabolism and ferroptosis played an important role in the development of IS.

Objective:To explore the research hotspots and trends in the radiomics field based on bibliometric for breast cancer.Methods:Publications related to radiomics for breast cancer during January 2012 to June 2024 were retrieved from the Web of Science Core Collection databases.Then,the R software's package"bibliometric"tool,VOSviewer and CiteSpace softwares were used to conduct visual analysis of radiomics-related bibliometric for breast cancer,which involved to publication trends,countries,institutions,journals,authors,keywords,and highlight keywords.Results:A total of 683 radiomics-related literatures for breast cancer were obtained,and 518 articles were finally included after non-English literatures and non-Article literatures were excluded.China and Sun Yat-sen University emerged as the leading country(326 articles)and institution(83 articles).The top three journals with the most of published articles were respectively,and.Professor Mao Ning has the largest number of articles,followed by Pinker Katja and Liang Changhong.The results of keywords and highlight keywords showed that current radiomics researches for breast cancer mainly focused on the applications of magnetic resonance imaging(MRI),machine learning,deep learning,artificial intelligence,and radiogenomics in prediction for diseases'prognosis,and assessment for treatment's response.Conclusion:The applications of machine learning,deep learning and multi-parameter imaging belongs to hot-research fields in assessment for personalized treatment.Future research directions would more and more tend to integrate artificial intelligence and multi-omics analysis,so as to promote prognostic assessment and personalized treatment.

Objective To observe changes of CT quantitative indexes in patients with untreated chronic obstructive pulmonary disease(COPD)and relationships with pulmonary function indicators.Methods Totally 99 patients with untreated COPD were retrospectively enrolled.According to the degrees of airflow obstruction,the patients were divided into group A(GOLD grade 1 with mild obstruction,n=36),group B(GOLD 2 with moderate obstruction,n=37)and group C(GOLD 3 or 4 with obvious obstruction,n=26).The results of chest CT and pulmonary function tests conducted at the first diagnosis and the follow-up,as well as their correlations were analyzed.CT quantitative indicators included the whole lung volume,low-attenuation areas less than-950 percentage(LAA％),total number of vessels per 1 cm2 of lung surface area(Ntotal/LSA),total number of vessels with area less than 5 mm2 per 1 cm2 of lung surface area(N＜5mm2/LSA),the square root of the wall area of a hypothetical airway with a 10 mm internal perimeter(Pi10),the entire volume,wall thickness and wall area percentage(WA％)of airway wall,etc.,while results of pulmonary function tests included the forced expiratory volume in one second(FEV1)after administration of a bronchodilator,forced vital capacity(FVC),the ratio FEV1/FVC and FEV1 expressed as percent predicted(FEV1％).Results Compared with those at the first diagnosis,the follow-up results of FVC,FEV1,FEV1/FVC,Ntotal/LSA and N＜5mm2/LSA were lower,whereas LAA％,Pi10 and entire volume of airway were all higher in each group(all P＜0.05).Compared with those in group A,group B and C had decreased LAA％and increased Pi10,and the magnitude increased with the severity of airflow obstruction(all P＜0.05).LAA％,Pi1o and entire volume of airway wall were negatively correlated with pulmonary function indicators(all P＜0.05),while Ntotal/LSA and N＜5 mm2/LSA were positively correlated with pulmonary function indicators(all P＜0.05).Conclusion CT quantitative parameters,including LAA％,Ntotal/LSA,N＜5mm2/LSA,Pi10 and entire volume of airway wall were related to pulmonary function,which might reflect the longitudinal changes of airways and blood vessels in COPD patients.

Objective:To explore the application effect of multi-mode teaching guided by objective management in the standardized training of nursing students.Methods:A total of 39 standardized training nursing students from April 2019 to April 2020 in the department of oncology of a tertiary hospital were selected as the control group by cluster sampling method and they received traditional teaching; 40 standardized nursing students in the department of oncology from June 2020 to June 2021 were selected as the experimental group and the group adopted multi-mode teaching guided by objective management. The differences of theoretical and operational assessment scores, teaching satisfaction, critical thinking ability and nurse-patient communication ability between the two groups were studied. SPSS 20.0 was used for t-test and Chi-square test. Results:The scores of theoretical assessment [(86.17±3.74) vs. (83.92±4.93)] and operational assessment [(92.83±2.19) vs. (90.74±3.52)] in the experimental group were higher than those in the control group, and the differences were statistically significant ( P<0.05). The teaching satisfaction of the experimental group was higher than that of the control group [(46.10±2.96) vs. (42.67±2.45)], and the difference was statistically significant ( P<0.05). There were statistically significant differences in critical thinking, intellectual curiosity and analytical skills ( P<0.05). In terms of nurse-patient communication ability, except that there was no difference in collecting information, the rest were statistically significant( P<0.05). Conclusion:Multi-mode teaching guided by objective management can improve the theoretical and operational ability of nurses, nurse-patient communication ability, and teaching satisfaction.

Objective To investigate the effect of depression symptoms on surgical outcome of posterior decompression among cervical spondylotic myelopathy (CSM) patients. Methods Between October 2006 and October 2011 in our hospital, lami?nectomy or laminoplasty was performed in 396 cases that were enrolled in the study. There were 132 males and 264 females with an average age of 60.2 years(ranged,39-84 years). All patients were divided into depression group and non?depressed group by the 21?item Beck Depression Inventory (BDI). There were no statistically significant differences between groups in age, sex, smok?ing status, duration of symptoms, and employment status (whether in the current working). The Japanese Orthopedic Association (JOA) scores, Neck disability index (NDI) and visual analogue scale (VAS) were compared after 1.5 months postoperatively. Re?sults All of 396 cases were followed up. The mean follow up duration was 32 months (range,24-50 months). There were no statistically significant differences in the CCI decline (7.1%±2.1% versus 6.8%±1.5%), expansion degree[(130.9±7.0) mm2 versus (150.8 ± 5.2) mm2] and the drift?back distance of the spinal cord [(5.7 ± 1.2) mm versus (6.2 ± 0.8) mm]. However, pa?tients with continuous depression showed poorer improvement than non?depressed patients in the surgery outcome: JOA im?proved (1.42±0.56 versus 6.76±3.12); NDI declined (7.31±2.18 versus 21.11±11.36); and VAS lightened (16.08±19.76 versus 23.85±20.79). Conclusion Depression contributed a dissatisfied surgery outcome after posterior decompression on functional re?covery, disability index and pain scores among patients of the cervical spondylotic myelopathy.

Objective To investigate the feature and mechanism of electrocardiogram (ECG) changes in different onset parts after different types of acute stroke.MethodsA retrospective analysis about ECG was performed according to data of 163 acute stroke patients.ResultsThe abnormal ratio of ECG had no significant difference between hemorrhagic stroke and ischemic stroke. Moreover, the patients with onset areas on basal ganglia and thalamus had a higher rate of abnormal ECG.ConclusionThe patients with acute stroke have a higher incidence of abnormal ECG. The changes of ECG are associate with types and areas of injury.