Genome-wide CRISPR Screens Reveal Host Factors Critical for SARS-CoV-2 Infection

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Bone marrow-derived mesenchymal stem cells repair severe acute pancreatitis by secreting miR-181a-5p to target PTEN/Akt/TGF-β1 signaling

BackgroundSevere acute pancreatitis (SAP) is associated with high morbidity and mortality. Bone marrow mesenchymal stem cells (BMSCs) have shown obvious protective effect on SAP. However, little is known about the underlying mechanism. The objective of this study is to unravel the role and regulatory mechanism of miR-181a-5p in BMSCs-mediated pancreatic repair.MethodsBMSCs were isolated from Sprague-Dawley rats and characterized by flow cytometry and Oil Red O staining. Sodium taurocholate- and caerulein-induced models were used as SAP models in vivo and in vitro, respectively. Pancreatic injury were evaluated by H&E and histopathological analysis, as well as by measuring levels of amylase, lipase and cytokines. qRT-PCR and western blotting were performed to detect the level of miR-181a-5p and the protein levels of PTEN/Akt, respectively. ELISA was conducted to detect the levels of TNF-α, IL-1β, IL-6, angiopoietin, IL-4, IL-10 and TGF-β1. The apoptotic rate of AR42 J cells was quantitated by concurrent staining with Annexin-V-FITC and PI.ResultsBMSCs significantly attenuated pancreatic injury in SAP rats by reducing inflammatory infiltration and necrosis, and this effect was abolished by CXCR4 agonist AMD3100. ADM3100 exhibited more severe pancreatic injury and decreased miR-181a-5p levels in the pancreas and serum compared to SAP group. Overexpression of miR-181a-5p in BMSCs (BMSCs-miR-181a-5p) markedly potentiated the protective effect of BMSCs by reducing histological damage and levels of amylase and lipase. Moreover, BMSCs-miR-181a-5p dramatically reduced levels of angiopoietin, TNF-α, IL-1β and IL-6, but induced the levels of IL-4 and IL-10. In caerulein-treated AR42 J cells, co-culturing of BMSCs-miR-181a-5p alleviated caerulein-induced increase of amylase and lipase, and apoptosis via PTEN/Akt/TGF-β1 signaling.ConclusionBMSCs alleviate SAP and reduce inflammatory responses and apoptosis by secreting miR-181a-5p to target PTEN/Akt/TGF-β1 signaling. Hence, BMSCs-miR-181a-5p could serve as potential therapeutic target for SAP.     

人脊髓创伤后神经元病变的神经丝免疫组织化学研究

本文用神经丝（ＮＦ）免疫组织化学方法在１５例人体尸检材料中研究了脊髓创伤后生存２ｈ～９Ｗ的脊髓神经元胞体和轴突的病理学改变。结果表明：脊髓创伤后２ｈ,神经丝免疫组织化学反应即可显示ＮＦ阳性反应产物在轴突内聚集。创伤后第４天,病变的前角运动神经元胞体内神经丝反应异常地增强。以上结果表明：神经丝免疫组织化学方法比常规显示轴突的染色方法能更早更清晰地显示脊髓内轴突的病变,并进一步证实了创伤后细胞骨架紊乱在神经元的病理发病机理中起重要作用。     

Induction of apoptosis and c-myc in L1210 lymphocytic leukemia cells by adenosine

High concentrations of adenosine (Ado), when added to L1210 lymphocytic leukemia cells, resulted in apoptosis or programmed cell death. The apoptotic process was accompanied by distinct morphological changes including chromatin condensation and blebbing of plasma membranes. Extensive DNA fragmentation was correlated with Ado concentrations. Furthermore, apoptosis in these cells was preceded by an early but transient expression of c-myc proto-oncogene, and was not influenced by homocysteine thiolactone added to the cells. Since severe combined immunodeficiency (SCID) is associated with a deficiency of adenosine deaminase, leading to defects in both cellular and humoral immunity, Ado-induced apoptosis may thus be a contributing factor in the pathology of SCID.     

Factores de riesgo asociados a fallecimiento por la variante ómicron de COVID-19: análisis retrospectivo con personas mayores de Canarias

Background and aimsSince the beginning of the COVID-19 pandemic, the elderly population has had the highest rates of complications and mortality. This study aimed to determine the influence of different risk factors on deaths due to the Omicron variant in the Canary Islands.Materials and methodsA retrospective observational study of 16,998 cases of COVID-19 over 40 years of age was conducted in the Canary Islands between August 1, 2022, and January 31, 2023. We extracted sociodemographic data (age and sex) and clinical data (death, vaccination history, hospital admission, previous diseases, and treatments).ResultsAmong the deaths, there was a higher proportion of males aged over 70 years, with diabetes, cardiovascular, renal, respiratory, and systemic diseases, and nursing home residents. Significant differences were observed in the number of doses of the vaccine. The multiple regression model showed that male sex (OR [95% CI] = 1.92 [1.42–2.58]), age (70–79 years, 9.11 [4.27–19.43]; 80–89 years, 21.72 [10.40–45.36]; 90–99 years, 66.24 [31.03–141.38]; 100 years or older, 69.22 [12.97–369.33]), being unvaccinated (6.96, [4.01–12.08]), or having the last dose administered at least 12 months before the diagnosis (2.38, [1.48–3.81]) were significantly associated with mortality.ConclusionsMultiple factors may increase the risk of mortality due to COVID-19 in the elderly population. In our study, we found that only three predictors can effectively explain the variability: older age, male sex, and not being vaccinated or last vaccination date prior to one year.     

重症肺炎患者病原菌分布、临床结局分析及血清尿素氮与肌酐比值、尿素氮与白蛋白比值联合检测的临床意义

摘要 目的：分析重症肺炎（SP）患者病原菌分布和临床结局并探讨血清尿素氮与肌酐比值（UCR）、尿素氮与白蛋白比值（UAR）联合检测的临床意义。方法：选取2019年8月～2022年8月三六三医院收治的107例SP患者,根据临床结局分为死亡组和存活组。分析SP患者病原菌分布情况。采用单因素和多因素Logistic回归分析SP患者临床结局的影响因素,采用受试者工作特征（ROC）曲线分析血清UCR、UAR水平对SP患者临床结局的评估价值。结果：107例SP患者痰液标本中培养出122株病原菌,其中革兰阴性菌75株（61.48%）,革兰阳性菌39株（31.97%）,真菌8株（6.56%）。107例SP患者院内死亡率为40.19%（43/107）。多因素Logistic回归分析显示,年龄增加、肺外并发症≥2个和UCR、UAR升高为SP患者临床结局不良的独立危险因素,氧合指数增加为其独立保护因素（P＜0.05）。ROC曲线分析显示,血清UCR、UAR联合评估SP患者临床结局的曲线下面积（AUC）大于各指标单独评估。结论：SP患者病原菌分布以革兰阴性菌为主,血清UCR、UAR升高为SP患者临床结局不良的独立危险因素,可能成为SP患者临床结局的辅助评估指标,且二者联合评估SP患者临床结局的价值较高。     

多药耐药菌感染重症肺炎患者预后的危险因素分析

摘要 目的：探讨多药耐药菌感染重症肺炎患者预后的危险因素。方法：选取本院2019年5月至2022年5月收治的198例重症肺炎患者,根据患者在ICU住院期间是否死亡分为存活组（121例）和死亡组（77例）。对重症肺炎患者多药耐药菌感染情况,多药耐药G⁺耐药情况,多药耐药G^-耐药情况进行分析,对影响多药耐药菌感染重症肺炎患者预后危险因素的单因素分析,将单因素分析中差异有统计学意义的变量进行多因素Logistic回归分析,筛选影响多药耐药菌感染重症肺炎患者预后的危险因素。结果：198例重症肺炎患者中,多药耐药菌感染患者60例,占比30.30 %,共分离出病原菌290株,其中多药耐药菌65株,占比22.41 %,其中占比比较高的有鲍曼不动杆菌（23.08 %）、铜绿假单胞菌（20.00 %）、金黄色葡萄球菌（20.00 %）、肠炎克雷伯菌（10.77 %）;重症肺炎患者多药耐药G⁺对青霉素、克林霉素、红霉素等具有较高的耐药性,而对万古霉素、替考拉宁、替加环素较为敏感;重症肺炎患者多重耐药G^-对多种抗菌药物均表现出耐药性,其中对头孢他啶、头孢吡肟等具有较高的耐药性;单因素分析结果显示,死亡组患者中男性、年龄≥70岁、APACHEⅡ评分≥26分、有创通气的患者占比显著高于存活组,碳青霉烯类抗生素使用的患者占比显著低于存活组（均P<0.05）,两组患者肺部基础疾病、脑血管疾病、高血压、联合使用其他抗生素的占比,以及两组患者机械通气时间比较无差异（均P>0.05）;纳入多因素非条件Logistic回归模型分析显示,男性、年龄≥70岁、APACHEⅡ评分≥26分、有创通气为多药耐药菌感染重症肺炎患者预后的危险因素（OR=1.568、1.203、2.812、1.674,均P<0.05）,而碳青霉烯类抗生素使用是多药耐药菌感染重症肺炎患者预后的保护因素（OR=0.542,P<0.05）。结论：多药耐药菌感染重症肺炎患者的主要菌株为鲍曼不动杆菌,且男性、年龄≥70岁、APACHEⅡ评分≥26分、有创通气为多药耐药菌感染重症肺炎患者预后的危险因素,而碳青霉烯类抗生素使用是多药耐药菌感染重症肺炎患者预后的保护因素。     

血清IL-4、IL-6、IL-33与老年重症肺炎患者肠道菌群的相关性分析及对预后的影响

摘要 目的：探究老年重症肺炎患者血清白介素（IL）-4、IL-6、IL-33与肠道菌群变化的相关性及预后影响因素。方法：选取我院2020年1月-2022年1月期间收治的老年重症肺炎患者中筛选82例纳入重症组,从同期老年健康体检志愿者中选取50例纳入正常组。对比两组的IL-4、IL-6、IL-33与肠道菌群水平差异,Pearson相关系数分析肠道菌群与IL-4、IL-6、IL-33水平相关性,根据重症组随访6个月的预后情况分为生存组55例、死亡组27例,对比生存组、死亡组的临床因素差异,多因素Logistic回归模型分析重症肺炎死亡的影响因素。结果：（1）对比正常组,重症组的IL-4、IL-6、IL-33水平均明显升高（P<0.05）;（2）对比正常组,重症组的大肠埃希菌水平均明显升高且双歧杆菌水平明显降低（P<0.05）;（3）大肠埃希菌与IL-4、IL-6、IL-33均呈正相关,双歧杆菌与IL-4、IL-6、IL-33均呈负相关;（4）对比生存组,死亡组年龄、急性生理和慢性健康（APACHE-Ⅱ）评分、IL-4、IL-6、IL-33、大肠埃希菌、机械通气比例、餐后2 h平卧比例均明显更高且双歧杆菌明显更低（P<0.05）;（5）重症肺炎死亡的独立危险因素包括年龄增加、APACHE-Ⅱ评分升高、IL-4升高、IL-6升高、IL-33升高、大肠埃希菌升高、机械通气、餐后2 h平卧且独立保护因素是双歧杆菌升高。结论：老年重症肺炎患者存在明显的炎症反应与肠道菌群失衡,患者的IL-4、IL-6、IL-33、大肠埃希菌、双歧杆菌异常变化并且存在密切关系,老年重症肺炎患者的年龄、机械通气、餐后体位等因素均会影响其预后生存结局。     

经鼻加温加湿高流量吸氧对重症肺炎伴呼吸衰竭患儿血气指标、肺功能及细胞因子水平的影响

摘要 目的：观察经鼻加温加湿高流量吸氧（HFNC）对重症肺炎伴呼吸衰竭患儿血气指标、肺功能及细胞因子水平的影响。方法：选取南京医科大学附属儿童医院2020年3月~2022年3月期间收治的86例重症肺炎伴呼吸衰竭患儿,按照随机数字表法分为经鼻持续气道正压通气（nCPAP）组和HFNC组,各为43例。对比两组临床相关指标、血气指标、肺功能及细胞因子水平,同时观察两组镇静剂使用、预后及并发症发生情况。结果：HFNC组的机械通气时间、咳嗽缓解时间、肺部啰音消失时间、入住儿童重症监护室（PICU）时间均短于nCPAP组（P<0.05）。两组患儿治疗后心率（HR）升高,呼吸频率（RR）下降,且HFNC组的变化大于nCPAP组（P<0.05）。两组患儿治疗后pH值、血氧分压（PO₂）、血氧饱和度（SpO₂）、氧合指数（OI）均升高,且HFNC组高于nCPAP组（P<0.05）。两组患儿治疗后用力肺活量（FVC）、1s用力呼气容积（FEV1）、用力呼气时最高呼气流速（PEF）升高,且HFNC组高于nCPAP组（P<0.05）。两组患儿治疗后降钙素原（PCT）、白细胞介素（IL-6）和肿瘤坏死因子（TNF-α）下降,且HFNC组低于nCPAP组（P<0.05）。HFNC组镇静剂使用、再住院例数均少于nCPAP组（P<0.05）。两组死亡例数、并发症发生率组间对比未见统计学差异（P>0.05）。结论：HFNC可有效缓解重症肺炎伴呼吸衰竭患儿的临床症状,改善血气指标、肺功能及细胞因子水平。     

重症急性胰腺炎合并腹腔感染患者病原菌分布、药物敏感性分析及其院内死亡的危险因素探讨

摘要 目的：观察重症急性胰腺炎（SAP）合并腹腔感染（IAI）患者病原菌分布,分析药物敏感性,同时探讨其院内死亡的危险因素。方法：本研究纳入2017年1月~2022年1月期间来解放军联勤保障部队第九二二医院接受治疗并确诊的SAP合并IAI患者100例,采集患者腹水标本,观察其病原菌分布,分析药物敏感性。入院后收集患者人口学特征、实验室检查等资料,探讨患者院内死亡的危险因素。结果：100例SAP合并IAI患者腹水标本中,分离出186株病原菌,其中革兰阴性菌有108株,占比58.06%。革兰阳性菌51株,占比27.42%。真菌27株,占比14.52%。鲍曼不动杆菌对不同抗菌药物的敏感性均较低,大肠埃希菌对厄他培南、亚胺培南、哌拉西林／他唑巴坦、庆大霉素、美罗培南的敏感性较高,肺炎克雷伯菌对亚胺培南、美罗培南的敏感性较高,葡萄球菌属对替加环素、万古霉素、利奈唑胺的敏感性较高,屎肠球菌对替加环素、利奈唑胺的敏感性较高,粪肠球菌对氨苄西林、万古霉素、环丙沙星、替加环素的敏感性较高。单因素分析显示,SAP合并IAI患者院内死亡与器官障碍数目、膀胱压、入院时急性生理学与慢性健康状况评分（APACHE II）评分、白细胞计数（WBC）、血钙、红细胞压积（HCT）、总胆固醇（TC）、甘油三醋（TG）、降钙素原（PCT）、C反应蛋白（CRP）、动脉二氧化碳分压（PaCO₂）、动脉氧分压（PaO2）有关（P<0.05）。多因素Logistic回归分析结果显示：器官障碍数目偏多、血钙偏低、CRP偏高、APACHE II评分偏高、膀胱压偏高、PaO₂偏低、WBC偏高是导致SAP合并IAI患者院内死亡的危险因素（P<0.05）。结论：SAP合并IAI患者病原菌分布以革兰阴性菌为主,主要的革兰阴性菌、革兰阳性菌耐药率高。此外,器官障碍数目偏多、血钙偏低、CRP偏高、APACHE II评分偏高、膀胱压偏高、PaO₂偏低、WBC偏高是影响SAP合并IAI患者院内死亡的危险因素。