机械通气患儿气管导管表面细菌生物膜形成及病原分析

目的观察儿科重症监护病房（PICU）机械通气（mechanical ventilation,MV）患儿气管导管（endotraeheal tube,mr）表面细菌生物膜（biofilm,BF）内细菌分布情况及BF形态学特征。方法以我院治疗的35例MV患儿为研究对象。收集第1次拔除或更换的ETT,经碘化丙啶（PI）和异硫氰酸荧光索标记刀豆蛋白A（FITC-ConA）染色后,激光共聚焦显微镜观察ETT-BF内细菌及胞外多糖（EPS）分布情况,并收集ETT表面和下呼吸道分泌物进行细菌分离、培养和鉴定。结果（1）35例MV患儿中,E1-r表面细菌培养阳性31例（88．57％）;17例EIT表面和下呼吸道分泌物同时分离出相同菌种,占ETT培养阳性的54．83％。在EIT-BF和下呼吸道分泌物中以金黄色葡萄球菌,肺炎克雷伯菌,大肠埃希菌,阴沟肠杆菌最常见。（2）CLSM观察可见,气管插管12h后,ETT-11表面已出现细菌黏附;48h时ETT表面可见大量短棒状或球状细菌黏附聚集,EPS较12h时显著增多,初步形成BF结构;72h左右细菌粘连成团块状,被EPS包裹,可见成熟BF结构形成;7d后细菌粘连成大片状,在其周围可见散在的微菌落。（3）35例MV患儿中,19例发生了呼吸机相关性肺炎（ventilated—associated pneumonia,VAP）。其中经口插管10例,经鼻插管9例。结论MV时细菌极易在ETT表面黏附,形成细菌BF。ETF表面细菌定植及BF形成与长时间MV患儿伴发呼吸机相关性肺炎之间可能存在一定相关性。     

The diagnostic accuracy of high-mobility group box 1 protein and twelve other markers in discriminating bacterial, viral and co-infected bronchial pneumonia in Han children

Pneumonia in children is common and can lead to grave consequences if not addressed in a proper and timely manner. In the management of pneumonia, early identification of the causative infective agent is of obvious importance for treatment, as it allows selection of the appropriate antibiotics. However, such identification requires laboratory test results, which may not be immediately available. The aim of this study was to evaluate the accuracy and usefulness of 13 markers in differentiating between viral and bacterial pneumonia in Han children (34 healthy controls and 78 patients). It was found that WBC counts were more accurate in diagnosis of the type of agent responsible for infection than was the degree of expression of HMGB1. Among the 13 markers investigated, HMGB1 was the best at discriminating between co-infected (bacterium and virus) and single-infected (bacterium or virus) children with bronchial pneumonia. HMGB1 expression of less than 1.0256, excluded most co-infections (the negative predictive value was greater than 89.7%). Diagnosed sole viral pneumonia clinically overlapped with bacterial pneumonia, but bacterial pneumonia was more often associated with higher white blood cell (WBC) counts (WBC ≥ 13,000 cells/mm(3)). When the two marker readouts--HMGB1 < 1.0256 and WBC ≥ 13,000 cells/mm(3)--were combined, the positive predictive value for bacterial pneumonia alone was 92.3%. These findings can help clinicians discriminate between bronchial pneumonia caused by virus, bacterium or both with a high specificity.     

肺炎衣原体感染与青少年I型糖尿病的相关性研究

目的:探讨肺炎衣原体感染与青少年I型糖尿病的相关性,为I型糖尿病的的临床治疗提供参考依据。方法:选择2010年12月-2012年6月间石家庄地区各医院收治的49例青少年T1DM患者为观察组,及同期50例健康人作为对照组,应用即时指尖血免疫测定仪分析受试者HbA1c水平;应用RT-PCR技术检测血液中Cpn DNA;应用ELISA方法检测受试者血清中Cpn特异性抗体水平,对Cpn DNA的检出情况及HbA1c水平与Cpn DNA和特异性抗体水平的相关性进行统计学分析。结果:观察组Cpn DNA的检出率为46.9%,显著高于对照组(P0.05);观察组Cpn抗体阳性率显著高于对照组(P0.05),且观察组再次感染或慢性感染Cpn的百分率显著高于对照组(P0.05);HbA1c与IgG/IgA抗体水平显著相关,血糖控制较差(HbA1c9%)的糖尿病患者Cpn IgG/IgA抗体阳性率与血糖控制较好的患者(HbA1c7%)相比显著升高(P0.05)。结论:与健康对照相比,青少年T1DM患者更容易感染Cpn,且更容易由急性感染状态进展为慢性感染形式,良好的血糖可能降低患者发生与代谢控制有关的慢性并发症。     

小细胞肺癌发生阻塞性肺炎相关因素分析

目的通过对小细胞肺癌患者是否发生阻塞性肺炎的相关因素对比分析,了解伴有阻塞性肺炎小细胞肺癌患者临床特点。方法采用回顾性分析方法,收集2003年1月至2013年1月大连医科大学附属第二医院所收治的经组织学或细胞学确诊的小细胞肺癌患者共450例。经核查资料后,进入统计学的伴有阻塞性肺炎组100例,不伴有阻塞性肺炎组112例,均为初治。对以下因素进行分析：性别、年龄、居住环境、吸烟情况、分期、肿瘤位置、病理类型、初始疗效、NSE（神经元特异性烯醇化酶）。计数资料率和构成比的比较采用卡方检验。结果本组研究中伴有阻塞性肺炎组患者100例中,吸烟患者占76%,小细胞未分化癌患者占81%,中心型癌患者占52%,广泛期患者占57%,NSE阳性率为92%,均高于不伴有阻塞性肺炎组患者。不伴有阻塞性肺炎组的小细胞癌患者初始疗效有效率明显高于伴有阻塞性肺炎组患者。两组在性别、年龄、居住环境方面差异无统计学意义。结论伴有阻塞性肺炎组的小细胞肺癌患者NSE阳性率高于不伴有阻塞性肺炎组。吸烟是小细胞肺癌患者发生阻塞性肺炎的高危因素。阻塞性肺炎降低小细胞癌患者化疗初始疗效。     

浙江地区青霉素耐药肺炎链球菌PBPs基因及氨基酸序列研究

为阐明温州地区青霉素耐药肺炎链球菌（PRSP）的青霉素结合蛋白（PBPs）的基因和氨基酸序列的变异特点,对温州医学院自2000年11月～2004年1月收集的26份肺炎链球菌进行分离、鉴定及青霉素药敏实验,并对每株链球菌的PBP1A、PBP2B、PBP2X基因进行PCR扩增和直接测序,通过序列比对与生物信息学分析。结果表明,研究中的PBP1A的主要突变位点是保守基序KTG之后的4个连续氨基酸替换Thr574Ala、Ser575Thr、Gln576Gly、Phe577Tyr和保守序列STMK内的氨基酸替换Thr371Ser;PBP2B的主要突变位点是保守序列SSN之后的氨基酸替换Thr451Ala;PBP2X的主要突变位点是保守基序STMK 内的氨基酸替换Thr338Ala。以上突变类型以及菌株的青霉素耐药水平与文献报道相符。研究检测的PRSP的PBPs基因中暂未发现本地区特有的（新的）基因突变,也未检测出文献报道的某些与青霉素抗性相关的氨基酸替换。     

麻杏石甘汤合玉屏风散对支原体肺炎患儿血清炎症因子、氧化应激及T淋巴细胞亚群的影响

目的:探讨麻杏石甘汤合玉屏风散对支原体肺炎患儿血清炎症因子、氧化应激及T淋巴细胞亚群的影响.方法:选取我院儿科门诊于2016年12月至2018年7月间收治的86例支原体肺炎患儿,按随机数字表法分为观察组(43例)和对照组(43例).对照组采用常规治疗,观察组在对照组基础上联合使用麻杏石甘汤合玉屏风散治疗,两组均治疗14...     

呼吸机相关性肺炎患者病原菌分布及血清sTREM 1和HMGB1的变化

目的探讨呼吸机相关性肺炎患者病原菌分布及血清高迁移率族蛋白1(HMGB1)和可溶性髓系细胞触发受体-1(sTREM-1)的变化。方法选取我院2016年3月至2019年5月收治的131例呼吸机相关性肺炎患者进行研究,检测入选患者病原菌感染情况,同时根据患者病情分为重症组与非重症组。另选取60例同期体检对象作为对照组,比较各组患者血清sTREM-1、HMGB1水平及临床肺部感染评分(CPIS),分析血清sTREM-1、HMGB1对呼吸机相关性肺炎的预测价值。结果 131例患者共检出病原菌415株,病原菌以革兰阴性菌为主,其次是革兰阳性菌,真菌的占比最低。革兰阴性菌中以铜绿假单胞菌和肺炎克雷伯菌为主,革兰阳性菌中以金黄色葡萄球菌为主。重症组、非重症组及对照组患者血清sTREM-1、HMGB1水平及CPIS评分依次递减,组间比较差异均有统计学意义(均P0.05)。Cochran Armitage趋势检验发现,血清sTREM-1、HMGB1水平及CPIS评分与呼吸机相关性肺炎严重程度呈线性增加趋势(Z=5.056、3.127、3.811,均P0.05)。诊断呼吸机相关性肺炎病情严重程度时,血清sTREM-1的AUC及敏感性、特异性最高,其次是CPIS和血清HMGB1,3个指标均对呼吸机相关性肺炎有一定诊断价值。结论革兰阴性菌是呼吸机相关性肺炎的主要致病菌,血清sTREM-1、HMGB1水平对呼吸机相关性肺炎的病情有一定诊断价值。     

儿童肺炎链球菌和流感嗜血杆菌耐药及感染特征分析

目的 了解儿童呼吸道感染肺炎链球菌(Streptococcus pneumonia,SP)和流感嗜血杆菌(Haemophilus influenzae,Hi)的分布特征、耐药情况,及耐药菌抗生素间的相互影响,以更合理地指导临床用药.方法 对2009-2010年临床呼吸道感染患儿进行痰、咽拭子或肺泡灌洗液培养分离Hi和SP.因子需求试验鉴定Hi,头孢硝噻酚法检测β-内酰胺酶;奥普托辛和胆汁溶菌试验确认SP.两菌均采用K-B法检测常用对抗生素的耐药性.结果 收集SP 495株,Hi 515株,多见于3岁以下儿童,以呼吸科分离率最高.SP对红霉素、四环素、阿奇霉素、复方新诺明的耐药率分别为98.4％、66.1％、98％和81.6％,其对青霉素敏感性仅为9.5％.Hi有42.7％产生β-内酰胺酶,Hi对氯霉素、复方新诺明、氨苄青霉素、阿奇霉素的耐药率分别为22.1％、21.6％、36.7％和62.7％.与青霉素敏感SP和β-内酰胺酶阴性Hi相比,耐药SP和阳性Hi更易对氯霉素、四环素和复方新诺明耐药.结论 SP和Hi以婴幼儿为主,多见于呼吸科.其耐药情况严峻,青霉素耐药和产β-内酰胺酶菌株会诱导其他抗生素耐药,引发多重耐药.合理使用抗生素以及对两菌的耐药监测应引起高度重视.     

肺炎支原体肺炎患儿血清sB7-H3含量与细胞因子水平及病情严重程度的相关性研究

摘要 目的：研究肺炎支原体肺炎（mycoplasma pneumoniae pneumonia, MPP）患儿血清可溶性共刺激分子B7-H3（soluble co-stimulatory molecule B7-H3, sB7-H3）含量与细胞因子水平及病情严重程度的相关性。方法：收集2019年3月至2020年6月期间我院收治的MPP患儿共96例,根据患儿病情严重程度分为轻症MPP组和重症MPP组,另选取同期于我院体检中心体检的健康儿童50例作为对照组。收集所有受试者的一般资料、主要临床表现、临床指标及细胞因子水平,对各指标进行Pearson相关性分析和多元逐步回归分析。结果：与对照组相比,MPP组患儿的白细胞计数（white blood cell, WBC）、中性粒细胞计数（neutrophil, NE）、红细胞沉降率（erythrocyta sedimentation rate, ESR）、C反应蛋白（C-reactive protein,CRP）、sB7-H3、粒细胞-巨噬细胞集落刺激因子（granulocyte-macrophage colony stimulating factor, GM-CSF）、干扰素-γ（interferon-γ, IFN-γ）、白介素-10（interleukin-10,IL-10）和白介素-17A（interleukin-17A,IL-17A）均较高（P＜0.05）;与轻症MPP组患儿相比,重症MPP组患儿的WBC、NE、ESR、CRP、sB7-H3、GM-CSF、IFN-γ、IL-10和IL-17A均较高（P＜0.05）。Pearson相关性分析结果表明,sB7-H3与WBC、NE、ESR、CRP、GM-CSF、IFN-γ、IL-10和IL-17A呈正相关（P＜0.05）。多元线性回归分析显示,GM-CSF（β=0.103,P＜0.001）、IFN-γ（β=0.121,P＜0.001）、IL-10（β=0.026,P＜0.001）和IL-17A（β=0.093,P＜0.001）是sB7-H3的独立影响因素。结论：MPP患儿血清sB7-H3、GM-CSF、IFN-γ、IL-10和IL-17A与MPP的病情严重程度密切相关,且sB7-H3的表达水平与GM-CSF、IFN-γ、IL-10和IL-17A的水平呈正相关。     

In silico synteny based comparative genomics approach for identification and characterization of novel therapeutic targets in Chlamydophila pneumoniae

Chlamydophila pneumoniae is one of the most important and well studied gram negative bacterial strain with respect to communityacquired pneumonia and other respiratory diseases like Chronic obstructive pulmonary disease (COPD), Chronic asthma,Alzheimer''s disease, Atherosclerosis and Multisclerosis which have a great potential to infect humans and many other mammals.According to WHO prediction, COPD is to become the third leading cause of death by 2030. Unfortunately, the molecularmechanisms leading to chronic infections are poorly understood and the difficulty in culturing C pneumoniae in experimentalconditions and lack of entirely satisfactory serological methods for diagnosis is also a hurdle for drug discovery and development.We have performed an insilico synteny based comparative genomics analysis of C pneumoniae and other eight Chlamydialorganisms to know the potential of C pneumoniae which cause COPD but other Chlamydial organisms lack in potential to causeCOPD though some are involved in human pathogenesis. We have identified total 354 protein sequences as non-orthologous toother Chlamydial organisms, except hypothetical proteins 70 were found functional out of which 60 are non homologous to Homosapiens proteome and among them 18 protein sequences are found to be essential for survival of the C pneumoniae based on BLASTPsearch against DEG database of essential genes. CELLO analysis results showed that about 80% proteins are found to becytoplasmic, Among which 5 were found as bacterial exotoxins and 2 as bacterial endotoxins, remaining 11 proteins were found tobe involved in DNA binding, RNA binding, catalytic activity, ATP binding, oxidoreductase activity, hydrolase activity andproteolysis activity. It is expected that our data will facilitate selection of C pneumoniae proteins for successful entry into drugdesign pipelines.