Proteomic Analysis Reveals that Topoisomerase 2A is Associated with Defective Sperm Head Morphology

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Highlights

• •Human spermatozoa possess cells of poor morphology that lack nuclear integrity.
• •These cells can be isolated by density separation.
• •Mass spectrometry reveals their nuclei contain excess protein.
• •TOP2A is a promising marker of this poor nuclear development.

     

Stanford A型主动脉夹层孙氏手术患者术后血流感染的影响因素及术前PCT、IL-6、D-D的预测价值研究

摘要 目的：分析Stanford A型主动脉夹层（AD）孙氏手术患者术后血流感染（BSI）的影响因素,并探讨术前血清降钙素原（PCT）、白细胞介素-6（IL-6）、D-二聚体（D-D）对术后发生BSI的预测价值。方法：选取2019年1月～2022年1月贵州医科大学附属医院收治的236例接受孙氏手术的Stanford A型AD患者,根据术后是否BSI分为BSI组和非BSI组。收集患者基础资料和实验室指标,采用多因素Logistic回归分析Stanford A型AD孙氏手术患者术后发生BSI的影响因素,采用受试者工作特征（ROC）曲线分析血清PCT、IL-6、D-D水平对Stanford A型AD孙氏手术患者术后发生BSI的预测价值。结果：BSI组年龄≥60岁、糖尿病史、机械通气、气管切开、人工瓣膜植入比例和术后24 h引流量、血清C反应蛋白、PCT、IL-6、D-D水平高于非BSI组,手术时间、心包纵隔管保留时间长于非BSI组（P＜0.05）。多因素Logistic回归分析显示,年龄≥60岁、糖尿病史、机械通气、气管切开、术后24 h引流量上升,血清PCT、IL-6、D-D水平上升为Stanford A型AD孙氏手术患者术后发生BSI的危险因素（P＜0.05）。ROC曲线分析显示,血清PCT、IL-6、D-D三项联合预测的Stanford A型AD孙氏手术患者术后发生BSI的曲线下面积大于单独预测。结论：年龄、糖尿病史、机械通气、气管切开、术后24 h引流量、血清PCT、IL-6、D-D水平是Stanford A型AD孙氏手术患者术后发生BSI的影响因素,术前血清PCT、IL-6、D-D水平可作为Stanford A型AD孙氏手术患者术后发生BSI的辅助预测指标。     

超声引导下神经阻滞麻醉联合全身麻醉对股骨头置换老年患者麻醉效果及术后认知功能的影响

摘要 目的：研究超声引导神经阻滞麻醉联合全身麻醉对股骨头置换老年患者的麻醉效果及对术后认知功能的影响。方法：选取2019年1月至2021年12月期间我院收治的150例拟行股骨头置换术的老年患者,随机分为对照组和观察组,各75例。对照组患者行常规全身麻醉,观察组在对照组的基础上行超声引导下神经阻滞麻醉,比较两组患者的血流动力学指标,拔管时间、苏醒时间和复苏室停留时间,苏醒后疼痛,术后认知功能及不良反应的发生率。结果：观察组患者各时间点的心率（HR）和平均动脉压（MAP）均较对照组低（P＜0.05）。观察组拔管时间、苏醒时间和复苏室停留时间均较对照组短（P＜0.05）。观察组患者术后视觉模拟评分（VAS）均低于同一时间点的对照组（P＜0.05）。与对照组相比,观察组患者术后1 h、12 h和24 h的简易智力状态检查（MMSE）评分均较高（P＜0.05）,观察组术后1 h、12 h和24 h术后认知功能障碍（POCD）发生率较对照组低（P＜0.05）。两组患者不良反应发生率无差异（P＞0.05）。结论：超声引导神经阻滞麻醉可稳定血流动力学,缩短拔管、苏醒及复苏室停留时间,减轻术后疼痛,改善术后认知功能,减少POCD的发生,值得临床推广。     

右美托咪定联合经皮穴位电刺激对混合痔剥扎术后患者肠胃功能及术后疼痛的影响

摘要 目的：探讨右美托咪定联合经皮穴位电刺激对混合痔剥扎术后患者肠胃功能及术后疼痛的影响。方法：选择2022年3月-2022年7月我院行混合痔剥扎术的患者60例,将60例患者随机分为对照组（30例）与观察组（30例）,对照组患者给予右美托咪定镇痛,观察组给予术前经皮穴位电刺激,时间为手术开始前2 min至手术结束,右美托咪定使用方法、剂量同对照组。对比两组患者术前、术后0.5 h、1 h、2 h、3 h的疼痛评分,对比两组患者的术后疼痛疗效,对比两组创面愈合时间、腐肉完全脱落时间、住院时间及胃肠功能恢复情况,对比两组术前、术后的血管活性肠肽、胃动素及胃泌素水平。结果：术前及术后3 h时,两组的疼痛评分对比无统计学意义（P>0.05）;术后0.5 h、1 h、2 h时,观察组的疼痛评分明显较对照组低（P<0.05）。观察组的术后疼痛有效率明显较对照组高,P<0.05。观察组的创面愈合时间、腐肉完全脱落时间及住院时间明显较对照组低（P<0.05）。观察组的肠鸣音恢复时间、术后恶心呕吐发生率及排气时间明显较对照组短（P<0.05）。术前,两组的血管活性肠肽、胃动素及胃泌素水平对比无统计学意义（P>0.05）;术后,两组血管活性肠肽、胃泌素水平升高,胃动素水平降低,且观察组变化幅度明显较对照组低（P<0.05）。结论：右美托咪定联合经皮穴位电刺激可改善混合痔剥扎术后患者肠胃功能及术后疼痛情况。     

血清肿瘤标志物与宫颈癌病理特征的关系及对术后复发的预测研究

摘要 目的：探讨血清肿瘤标志物与宫颈癌病理特征的关系及对术后复发的预测研究。方法：选择2015年1月至2017年12月来我院诊治的宫颈癌患者82例作为观察组,选择同期来我院体检的健康女性者50例,两组均使用电化学发光免疫分析法检测血清中的CA125、CA153、CA199、CEA水平,观察组患者随访时间截至2022年12月。对比两组血清CA125、CA153、CA199、CEA水平,分析观察组患者血清CA125、CA153、CA199、CEA水平与临床病理特征的关系,分析观察组患者术后随访复发情况,宫颈癌根治术后患者复发的单因素与多因素Cox回归结果,血清CA125、CA153、CA199、CEA水平对宫颈癌根治术后复发的预测价值。结果：观察组的血清CA125、CA153、CA199、CEA水平明显较对照组高（P<0.05）。宫颈癌患者不同FIGO分期、间质浸润深度及是否存在淋巴结转移间血清CA125、CA153、CA199、CEA水平对比有统计学意义（P<0.05）。82例患者随访时间为13~60个月,中位生存时间为39个月,截止2022年12月末次随访,82例患者术后复发18例（21.95%）。单因素及多因素Cox回归分析表明,FIGO分期在ⅡA期、间质浸润深度≥1/2、有淋巴结转移、CA125≥307.41 U/mL、CA153≥185.89 U/mL、CA199≥153.23 U/mL、CEA≥30.15 ng/mL是影响宫颈癌术后复发的独立危险因素。ROC曲线显示,CA125+CA153+CA199+CEA预测宫颈癌术后复发的AUC明显较CA125、CA153、CA199、CEA单独指标预测价值高（P<0.05）。结论：宫颈癌患者血清CA125、CA153、CA199、CEA高表达,其与间质浸润深度、FIGO 分期、淋巴结转移、术后复发有关,四者联合可作为宫颈癌术后复发的预测指标。     

乳腺癌根治术患者术前焦虑的影响因素分析及其对术后恢复、细胞免疫功能和生命质量的影响

摘要 目的：分析乳腺癌根治术患者术前焦虑的影响因素,并探讨术前焦虑对患者术后恢复、细胞免疫功能和生命质量的影响。方法：选择我院2020年3月~2021年12月期间收治的拟行乳腺癌根治术的120例患者作为研究对象,术前1 d采用焦虑自评量表（SAS）评估所有患者的焦虑状况,根据是否存在焦虑分为焦虑组和无焦虑组,乳腺癌根治术患者术前焦虑的影响因素采用多因素Logistic回归分析。对比焦虑组和无焦虑组的术后恢复、细胞免疫功能和生命质量情况。结果：120例乳腺癌根治术患者中,有31例患者无术前焦虑,89例患者存在焦虑症状,根据是否存在术前焦虑分为焦虑组（n=89）和无焦虑组（n=31）。乳腺癌根治术患者术前焦虑与年龄、文化程度、家庭人均月收入、付费方式、婚姻状况、家庭支持、既往有无全麻史、术前住院时长、定期体检有关（P<0.05）。多因素Logistic回归分析结果表明：年龄＜60岁、文化程度为小学及其以下、家庭人均月收入＜3000元、婚姻状况为未婚、无家庭支持、既往无全麻史、术前住院时长>1 d是乳腺癌根治术患者术前焦虑的危险因素（P<0.05）。焦虑组的术后首次肛门排气时间、首次下床活动时间、术后住院时间均长于无焦虑组（P<0.05）。两组术后1个月CD3⁺、CD4⁺、CD4⁺/CD8⁺水平升高,且无焦虑组高于焦虑组（P<0.05）,两组术后1个月CD8⁺水平下降,且无焦虑组低于焦虑组（P<0.05）。两组术后1个月生理状况、情感状况、社会/家庭状况、功能状况、附加关注评分和总分下降,且无焦虑组低于焦虑组（P<0.05）。结论：乳腺癌根治术患者术前焦虑发生率较高,其发生受到年龄、文化程度、家庭人均月收入、婚姻状况、家庭支持、既往有无全麻史、术前住院时长等多种因素的影响,可导致患者术后恢复时间延长,细胞免疫功能和生命质量降低。     

A novel prognostic signature of immune‐related genes for patients with colorectal cancer

Colorectal cancer (CRC) is one of the most commonly diagnosed cancers with an estimated 1.8 million new cases worldwide and associated with high mortality rates of 881 000 CRC‐related deaths in 2018. Screening programs and new therapies have only marginally improved the survival of CRC patients. Immune‐related genes (IRGs) have attracted attention in recent years as therapeutic targets. The aim of this study was to identify an immune‐related prognostic signature for CRC. To this end, we combined gene expression and clinical data from the CRC data sets of The Cancer Genome Atlas (TCGA) into an integrated immune landscape profile. We identified a total of 476 IRGs that were differentially expressed in CRC vs normal tissues, of which 18 were survival related according to univariate Cox analysis. Stepwise multivariate Cox proportional hazards analysis established an immune‐related prognostic signature consisting of SLC10A2, FGF2, CCL28, NDRG1, ESM1, UCN, UTS2 and TRDC. The predictive ability of this signature for 3‐ and 5‐year overall survival was determined using receiver operating characteristics (ROC), and the respective areas under the curve (AUC) were 79.2% and 76.6%. The signature showed moderate predictive accuracy in the validation and GSE38832 data sets as well. Furthermore, the 8‐IRG signature correlated significantly with tumour stage, invasion, lymph node metastasis and distant metastasis by univariate Cox analysis, and was established an independent prognostic factor by multivariate Cox regression analysis for CRC. Gene set enrichment analysis (GSEA) revealed a relationship between the IRG prognostic signature and various biological pathways. Focal adhesions and ECM‐receptor interactions were positively correlated with the risk scores, while cytosolic DNA sensing and metabolism‐related pathways were negatively correlated. Finally, the bioinformatics results were validated by real‐time RT?qPCR. In conclusion, we identified and validated a novel, immune‐related prognostic signature for patients with CRC, and this signature reflects the dysregulated tumour immune microenvironment and has a potential for better CRC patient management.     

Comprehensive analysis of mRNA‐level and miRNA‐level subpathway activities for identifying robust ovarian cancer prognostic signatures

Ovarian cancer (OvCa) causes the highest mortality among all gynaecologic cancers. A large number of mRNA‐ or miRNA‐based signatures were identified for OvCa patient prognosis. However, the comprehensive analysis of function‐level prognostic signatures is currently not considered in OvCa. In the present study, we respectively inferred subpathway activities from mRNA and miRNA levels based on high‐throughput expression profiles and reconstructed subpathways. Firstly, the activities of two tumour pathways were calculated and the difference between normal and tumour samples were analysed using multiple tumour types. Then, we calculated subpathway activities for OvCa based on the expression profiles from both mRNA and miRNA levels. Furthermore, based on these subpathway activity matrices, we performed bootstrap analysis to obtain sub‐training sets and utilized univariate method to identify robust OvCa prognostic subpathways. A comprehensive comparison of subpathway results between these two levels was performed. As a result, we observed subpathway mutual exclusion trend between the levels of mRNA and miRNA, which indicated the necessary of combining mRNA‐miRNA levels. Finally, by using ICGC data as testing sets, we utilized two strategies to verify survival predictive power of the mRNA‐miRNA combined subpathway signatures and performed comparisons with results from individual levels. It was confirmed that our framework displayed application to identify robust and efficient prognostic signatures for OvCa, and the combined signatures indeed exhibited advantages over individual ones. In the study, we took a step forward in relevant novel integrated functional signatures for OvCa prognosis.