Legionnaires' disease

军团病
  • 文章类型: Journal Article
    军团菌是军团菌病的病原体,它在饮用水中的流行是一个重要的公共卫生问题。建筑物内的水停滞会增加军团菌的风险。然而,有有限的研究调查了通过间歇性使用引起的停滞如何影响军团菌增殖,并且现有的研究没有考虑可行但不可培养的军团菌(VBNC)。这项研究使用了一个模型管道系统来研究间歇性水停滞如何影响VBNC和可培养军团菌。模型管道系统包含一个水箱,可供应两个生物膜反应器。该模型最初停滞了约5个月(147天),之后每天冲洗一个反应堆,另一个每周。生物膜优惠券,在第0、14和28天收集水样进行分析。对这些样本进行了可培养和VBNC军团菌分析,自由生活的变形虫,和异养细菌。28天后,与每周冲洗相比,每天一次的冲洗显着(p<0.001)减少了与生物膜相关的可培养军团菌的数量(减少1.5log10)。然而,与每周冲洗相比,每天冲洗一次从反应器中回收的生物膜相关VBNC军团菌计数较高(高1log10).同样,与每周潮红相比,每天一次的潮红增加了与生物膜相关的VermamoebaVermiformis的数量(大约高3log10),表明VBNC军团菌与V.vermiformis呈正相关。这是首次研究环境条件下停滞对VBNC军团菌的影响。总的来说,这项研究表明,水停滞的减少减少了可培养的军团菌,而不是VBNC军团菌。
    Legionella is the causative agent of Legionnaires\' disease, and its prevalence in potable water is a significant public health issue. Water stagnation within buildings increases the risk of Legionella. However, there are limited studies investigating how stagnation arising through intermittent usage affects Legionella proliferation and the studies that are available do not consider viable but non culturable (VBNC) Legionella. This study used a model plumbing system to examine how intermittent water stagnation affects both VBNC and culturable Legionella. The model plumbing system contained a water tank supplying two biofilm reactors. The model was initially left stagnant for ≈5 months (147 days), after which one reactor was flushed daily, and the other weekly. Biofilm coupons, and water samples were collected for analysis at days 0, 14 and 28. These samples were analysed for culturable and VBNC Legionella, free-living amoebae, and heterotrophic bacteria. After 28 days, once-a-day flushing significantly (p < 0.001) reduced the amount of biofilm-associated culturable Legionella (1.5 log10 reduction) compared with weekly flushing. However, higher counts of biofilm-associated VBNC Legionella (1 log10 higher) were recovered from the reactor with once-a-day flushing compared with weekly flushing. Likewise, once-a-day flushing increased the population of biofilm-associated Vermamoeba vermiformis (approximately 3 log10 higher) compared with weekly flushing, which indicated a positive relationship between VBNC Legionella and V. vermiformis. This is the first study to investigate the influence of stagnation on VBNC Legionella under environmental conditions. Overall, this study showed that a reduction in water stagnation decreased culturable Legionella but not VBNC Legionella.
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  • 文章类型: Journal Article
    背景:含有军团菌的冷却塔是军团菌病暴发的高风险来源。在疫情调查期间从航拍图像手动定位冷却塔需要专业知识,是劳动密集型的,并且容易出错。我们旨在训练一个深度学习计算机视觉模型,以自动检测空中可见的冷却塔。
    方法:在2021年1月1日至31日之间,我们提取了费城的卫星视图图像(PN,美国)和纽约州(NY,美国)从谷歌地图和带注释的冷却塔创建训练数据集。我们使用合成数据和模型辅助标记其他城市来增强训练数据。使用包含7292个冷却塔的2051图像,我们使用YOLOv5训练了一个两阶段模型,该模型可以检测图像中的物体,和EfficientNet-b5,一种对图像进行分类的模型。我们评估了模型的敏感性和阳性预测值(PPV)的主要结果,并在548张图像的测试数据集上进行了手动标记,包括来自两个没有参加培训的城市(波士顿[马,美国]和雅典[GA,美国])。我们将模型的搜索速度与四位流行病学家的手动搜索速度进行了比较。
    结果:该模型确定了可见的冷却塔,其灵敏度为95·1%(95%CI94·0-96·1),PPV为90·1%(95%CI90·0-90·2)在纽约市和费城。在波士顿,灵敏度为91·6%(89·2~93·7),PPV为80·8%(80·5~81·2)。在雅典,灵敏度为86·9%(75·8~94·2),PPV为85·5%(84·2~86·7)。对于纽约市包含45个街区(0·26平方英里)的区域,该模型的搜索速度比人类调查人员快600倍以上(7·6s;351个潜在冷却塔)(平均83·75分钟[SD29·5];平均310·8冷却塔[42·2])。
    结论:该模型可用于通过从航空图像中识别冷却塔来加速军团病暴发期间的调查和源头控制。有可能防止额外的疾病传播。该模型已经被公共卫生团队用于疫情调查和初始化冷却塔登记处,这被认为是预防和应对军团病爆发的最佳实践。
    背景:无。
    BACKGROUND: Cooling towers containing Legionella spp are a high-risk source of Legionnaires\' disease outbreaks. Manually locating cooling towers from aerial imagery during outbreak investigations requires expertise, is labour intensive, and can be prone to errors. We aimed to train a deep learning computer vision model to automatically detect cooling towers that are aerially visible.
    METHODS: Between Jan 1 and 31, 2021, we extracted satellite view images of Philadelphia (PN, USA) and New York state (NY, USA) from Google Maps and annotated cooling towers to create training datasets. We augmented training data with synthetic data and model-assisted labelling of additional cities. Using 2051 images containing 7292 cooling towers, we trained a two-stage model using YOLOv5, a model that detects objects in images, and EfficientNet-b5, a model that classifies images. We assessed the primary outcomes of sensitivity and positive predictive value (PPV) of the model against manual labelling on test datasets of 548 images, including from two cities not seen in training (Boston [MA, USA] and Athens [GA, USA]). We compared the search speed of the model with that of manual searching by four epidemiologists.
    RESULTS: The model identified visible cooling towers with 95·1% sensitivity (95% CI 94·0-96·1) and a PPV of 90·1% (95% CI 90·0-90·2) in New York City and Philadelphia. In Boston, sensitivity was 91·6% (89·2-93·7) and PPV was 80·8% (80·5-81·2). In Athens, sensitivity was 86·9% (75·8-94·2) and PPV was 85·5% (84·2-86·7). For an area of New York City encompassing 45 blocks (0·26 square miles), the model searched more than 600 times faster (7·6 s; 351 potential cooling towers identified) than did human investigators (mean 83·75 min [SD 29·5]; mean 310·8 cooling towers [42·2]).
    CONCLUSIONS: The model could be used to accelerate investigation and source control during outbreaks of Legionnaires\' disease through the identification of cooling towers from aerial imagery, potentially preventing additional disease spread. The model has already been used by public health teams for outbreak investigations and to initialise cooling tower registries, which are considered best practice for preventing and responding to outbreaks of Legionnaires\' disease.
    BACKGROUND: None.
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  • 文章类型: Journal Article
    BACKGROUND: Legionnaires\' disease is a type of severe pneumonia caused by Legionella bacteria. The case fatality rate in this disease is 5-10%. People with various comorbidities, smokers and the elderly are at greater risk of developing the disease.
    OBJECTIVE: The aim of the work is to present the results of an epidemiological investigation into the outbreak of Legionnaires\' disease that occurred in the city of Rzeszów and the surrounding area in August and September 2023 and to present the threat related to the presence of Legionella bacteria in water supply installations and networks.
    METHODS: The material for this publication was data from an epidemiological investigation conducted in the outbreak of Legionnaires disease in Rzeszów in 2023.
    RESULTS: Epidemiological investigation revealed 165 cases of Legionnaires\' disease in the outbreak, including 152 confirmed cases and 13 probable cases. The case fatality rate in a legionellosis outbreak was 15%. Environmental tests were carried out in residential and public buildings and industrial installations during the investigation. As part of environmental tests, 187 water samples were collected, including 87 warm water samples.
    CONCLUSIONS: The outbreak of Legionnaires\' disease in the city of Rzeszów draws attention to the potential threat from the Legionella bacteria to the health and life of especially elderly people suffering from chronic diseases. The environmental tests carried out confirmed the highest number of Legionella bacteria at medium and high levels in water samples taken in the private apartments of sick people. Despite the lack of strict legal regulations clearly specifying the obligations regarding periodic disinfection of internal hot water supply installations, cooperation with their owners should be undertaken to enforce plans and actions in this area.
    UNASSIGNED: Choroba legionistów jest typem ciężkiego zapalenia płuc wywołanego przez bakterie Legionella. Śmiertelność w tej chorobie wynosi 5-10%. Na większe ryzyko zachorowania narażone są osoby z różnymi chorobami współistniejącymi, osoby palące i osoby w starszym wieku.
    UNASSIGNED: Celem pracy jest przedstawienie wyników dochodzenia epidemiologicznego w ognisku choroby legionistów które wystąpiło na terenie miasta Rzeszowa i okolic w sierpniu i wrześniu 2023 roku oraz przedstawienie zagrożenia związanego z obecnością bakterii Legionella w instalacjach i sieciach wodociągowych.
    UNASSIGNED: Materiałem do niniejszej publikacji były dane z dochodzenia epidemiologicznego prowadzonego w ognisku choroby legionistów w Rzeszowie w 2023 roku.
    UNASSIGNED: Dochodzenie epidemiologiczne ujawniło 165 przypadków choroby legionistów w ognisku, w tym 152 przypadki potwierdzone oraz 13 przypadków prawdopodobnych. Śmiertelność w ognisku legionelozy wynosiła 15%. W toku prowadzonego dochodzenia prowadzono badania środowiskowe w budynkach mieszkalnych i użyteczności publicznej oraz instalacjach przemysłowych. W ramach badań środowiskowych pobrano 187 próbek wody, w tym 87 próbek wody ciepłej.
    UNASSIGNED: Ognisko choroby legionistów na terenie miasta Rzeszowa zwraca uwagę na potencjalne zagrożenie z strony bakterii Legionella dla zdrowia i życia szczególnie osób starszych cierpiących na choroby przewlekłe. Przeprowadzone badania środowiskowe potwierdziły najwyższą liczbę bakterii Legionella na poziomie średnim i wysokim w próbkach wody pobranych w mieszkaniach prywatnych osób chorych. Pomimo braku ścisłych uregulowań prawnych wskazujących wprost na obowiązki dotyczące okresowej dezynfekcji wewnętrznych instalacji zaopatrzenia w wodę ciepłą, należy podjąć współpracę z ich właścicielami w celu wyegzekwowania planów i działań w tym zakresie.
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  • 文章类型: Case Reports
    暂无摘要。
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  • 文章类型: Journal Article
    背景:军团菌肺炎是非典型肺炎中最严重的类型之一,损害多器官系统,对生命构成威胁.由于培养细菌的困难以及免疫测定灵敏度和特异性的限制,军团菌肺炎的诊断具有挑战性。
    方法:本文报道一例罕见的由嗜肺军团菌和坏死梭菌联合感染引起的脓毒症,导致呼吸衰竭,急性肾损伤,急性肝损伤,心肌损伤,和电解质紊乱。此外,我们系统回顾了军团菌联合感染患者的文献,分析他们的临床特征,实验室结果和诊断。
    结论:对于需要延长潜伏期且对常规培养方法不太敏感的病原体,宏基因组下一代测序(mNGS)可以作为病原体筛查的有力补充,在复杂传染病的辅助诊断中起着重要作用。
    BACKGROUND: Legionella pneumonia is one of the most severe types of atypical pneumonia, impairing multiple organ systems, posing a threat to life. Diagnosing Legionella pneumonia is challenging due to difficulties in culturing the bacteria and limitations in immunoassay sensitivity and specificity.
    METHODS: This paper reports a rare case of sepsis caused by combined infection with Legionella pneumophila and Fusobacterium necrophorum, leading to respiratory failure, acute kidney injury, acute liver injury, myocardial damage, and electrolyte disorders. In addition, we systematically reviewed literature on patients with combined Legionella infections, analyzing their clinical features, laboratory results and diagnosis.
    CONCLUSIONS: For pathogens that require prolonged incubation periods and are less sensitive to conventional culturing methods, metagenomic next-generation sequencing (mNGS) can be a powerful supplement to pathogen screening and plays a significant role in the auxiliary diagnosis of complex infectious diseases.
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  • 文章类型: Journal Article
    细菌粘附是使小生境环境定殖的基本过程,并且是感染的关键。然而,在嗜肺军团菌中,军团病的病原体,这些过程还没有得到很好的理解。军团菌胶原蛋白(Lcl)是一种细胞外外周膜蛋白,可识别真核细胞表面的硫酸化糖胺聚糖,但也刺激细菌聚集响应二价阳离子。在这里,我们报告了LclC末端结构域(Lcl-CTD)的晶体结构,并提出了完整Lcl的模型。我们的数据表明,Lcl-CTD形成了一种不寻常的三聚体排列,其带正电荷的外表面和带负电荷的溶剂暴露于内腔。通过分子动力学模拟,我们展示了糖胺聚糖-4-硫酸软骨素如何通过不同的结合模式与Lcl-CTD表面结合。我们的发现表明,Lcl同源物存在于Pseudomonadota和Fibrobacterota-Clobiota-Bacteroidota门,并表明Lcl可能代表一种通用的碳水化合物结合机制。
    Bacterial adhesion is a fundamental process which enables colonisation of niche environments and is key for infection. However, in Legionella pneumophila, the causative agent of Legionnaires\' disease, these processes are not well understood. The Legionella collagen-like protein (Lcl) is an extracellular peripheral membrane protein that recognises sulphated glycosaminoglycans on the surface of eukaryotic cells, but also stimulates bacterial aggregation in response to divalent cations. Here we report the crystal structure of the Lcl C-terminal domain (Lcl-CTD) and present a model for intact Lcl. Our data reveal that Lcl-CTD forms an unusual trimer arrangement with a positively charged external surface and negatively charged solvent exposed internal cavity. Through molecular dynamics simulations, we show how the glycosaminoglycan chondroitin-4-sulphate associates with the Lcl-CTD surface via distinct binding modes. Our findings show that Lcl homologs are present across both the Pseudomonadota and Fibrobacterota-Chlorobiota-Bacteroidota phyla and suggest that Lcl may represent a versatile carbohydrate-binding mechanism.
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  • 文章类型: Case Reports
    军团菌,导致社区获得性肺炎的主要病原体之一,会导致军团菌肺炎,以严重肺炎为主要特征的病症。这种疾病,由嗜肺军团菌引起,可以迅速发展为危重肺炎,并且通常与多个器官的损害有关。因此,在临床诊断和治疗方面需要密切关注。Omadacycline,一种属于氨基甲基环素类抗生素的新型四环素衍生物,是衍生自米诺环素的半合成化合物。其主要结构特点,氨甲基改性,允许omadacycline克服细菌耐药性并扩大其对细菌的有效性范围。临床研究表明,奥马环素在体内不代谢,肝肾功能不全患者不需要调整剂量。本文报道了一例最初对莫西沙星经验性治疗无反应的患者,使用奥马环素成功治疗了军团菌肺炎。患者还经历了电解质紊乱,以及肝脏和肾脏的功能障碍,谵妄,和其他相关的精神症状。
    Legionella, one of the main pathogens that causes community-acquired pneumonia, can lead to Legionella pneumonia, a condition characterized predominantly by severe pneumonia. This disease, caused by the bacterium Legionella pneumophila, can quickly progress to critical pneumonia and is often associated with damage to multiple organs. As a result, it requires close attention in terms of clinical diagnosis and treatment. Omadacycline, a new type of tetracycline derivative belonging to the aminomethylcycline class of antibiotics, is a semi-synthetic compound derived from minocycline. Its key structural feature, the aminomethyl modification, allows omadacycline to overcome bacterial resistance and broadens its range of effectiveness against bacteria. Clinical studies have demonstrated that omadacycline is not metabolized in the body, and patients with hepatic and renal dysfunction do not need to adjust their dosage. This paper reports a case of successful treatment of Legionella pneumonia with omadacycline in a patient who initially did not respond to empirical treatment with moxifloxacin. The patient also experienced electrolyte disturbance, as well as dysfunction in the liver and kidneys, delirium, and other related psychiatric symptoms.
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  • 文章类型: Journal Article
    明尼苏达州的七个公共供水系统,美国在两年的时间内进行了一到五次分析,以评估总细菌浓度的时间变化,军团菌属。,和来自来源的嗜肺军团菌(即,原水)通过水处理过程提供给最终用水者。通过过滤大量原水(12至425L,中位数:38升)或成品和自来水(27至1205升,中位数:448L)使用超滤膜组件。然后使用定量PCR(qPCR)计数所有细菌(16SrRNA基因片段),所有军团菌属。(ssrA),和嗜肺军团菌(mip)。大肠杆菌总数,大肠杆菌,和嗜肺乳杆菌也通过培养在水样中定量。细菌总数和军团菌的中位数浓度。(ssrA)在原水中(8.5和4.3日志拷贝/L,分别)在水处理期间减少了约2个对数单位。军团菌的浓度。从分配系统收集的水中的(ssrA)与氯化系统的总氯浓度成反比(p=0.03)。尽管仅从饮用水分配系统中收集了8个使用游离氯作为残留消毒剂的样品,这些样品明显低于从氯化系统收集的样品(p=5×10-4)。通过培养非依赖性(qPCR)和培养依赖性测定获得的结果之间存在相当大的不一致。通过培养,许多样品对嗜肺乳杆菌呈阳性,没有一个通过qPCR检测出肺炎支原体(mip)呈阳性。相反,单个样本通过qPCR检测为肺炎支原体(mip)阳性,但是这个样本通过培养检测出肺炎杆菌呈阴性。总的来说,结果表明,常规治疗可有效减少,但不能消除,军团菌属。来自地表水供应,并且残留的消毒有效地抑制了饮用水分配系统中的这些生物。
    Seven public water systems in Minnesota, USA were analyzed from one to five times over a two-year period to assess temporal changes in the concentrations of total bacteria, Legionella spp., and Legionella pneumophila from source (i.e., raw water) through the water treatment process to the end water user. Bacterial biomass was collected by filtering large volumes of raw water (12 to 425 L, median: 38 L) or finished and tap water (27 to 1205 L, median: 448 L) using ultrafiltration membrane modules. Quantitative PCR (qPCR) was then used to enumerate all bacteria (16S rRNA gene fragments), all Legionella spp. (ssrA), and Legionella pneumophila (mip). Total coliforms, Escherichia coli, and L. pneumophila also were quantified in the water samples via cultivation. Median concentrations of total bacteria and Legionella spp. (ssrA) in raw water (8.5 and 4.3 log copies/L, respectively) decreased by about 2 log units during water treatment. The concentration of Legionella spp. (ssrA) in water collected from distribution systems inversely correlated with the total chlorine concentration for chloraminated systems significantly (p = 0.03). Although only 8 samples were collected from drinking water distribution systems using free chlorine as a residual disinfectant, these samples had significantly lower concentrations of Legionella spp. (ssrA) than samples collected from the chloraminated systems (p = 5 × 10-4). There was considerable incongruity between the results obtained via cultivation-independent (qPCR) and cultivation-dependent assays. Numerous samples were positive for L. pneumophila via cultivation, none of which tested positive for L. pneumophilia (mip) via qPCR. Conversely, a single sample tested positive for L. pneumophilia (mip) via qPCR, but this sample tested negative for L. pneumophilia via cultivation. Overall, the results suggest that conventional treatment is effective at reducing, but not eliminating, Legionella spp. from surface water supplies and that residual disinfection is effective at suppressing these organisms within drinking water distribution systems.
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  • 文章类型: Journal Article
    废水处理厂(WWTP)越来越被认为是军团病(LD)源。2022年9月在Houten报告了5例LD病例后,展开了疫情调查,荷兰。病例识别基于欧洲LD病例定义,自2022年9月1日起出现症状,居住在Houten5公里内或附近,或在潜伏期内拜访Houten,没有其他可能的来源。我们对潜在来源进行了采样,并对环境和临床分离株进行了基因分型。我们确定了15例LD病例,发病时间为2022年9月13日至10月23日。空间源识别和风向模型建议工业(iWWTP)和市政WWTP(mWWTP)作为潜在源,第一个将水排入后者。两者均对具有多种序列类型(ST)的嗜肺军团菌血清组1和6检测为阳性。我们在mWWTP中检测到嗜肺乳杆菌sg1ST42,与三个可用的临床分离株之一相匹配。在污水处理厂采取控制措施后,没有观察到更多的病例。这次爆发突显出市政和工业污水处理厂可以在社区LD病例和爆发中发挥重要作用,特别是那些有利于军团菌生长和传播的条件,甚至是不利于生长的条件,但随着污染水的涌入。
    Wastewater treatment plants (WWTPs) are increasingly identified as Legionnaires\' disease (LD) sources. An outbreak investigation was initiated following five LD cases reported in September 2022 in Houten, the Netherlands. Case identification was based on the European LD case definition, with symptom onset from 1 September 2022, residence in or within 5 km of Houten, or visit to Houten within the incubation period, without other likely sources. We sampled potential sources and genotyped environmental and clinical isolates. We identified 15 LD cases with onset between 13 September and 23 October 2022. A spatial source identification and wind direction model suggested an industrial (iWWTP) and a municipal WWTP (mWWTP) as potential sources, with the first discharging water into the latter. Both tested positive for Legionella pneumophila serogroups 1 and 6 with multiple sequence types (ST). We detected L. pneumophila sg1 ST42 in the mWWTP, matching with one of three available clinical isolates. Following control measures at the WWTPs, no further cases were observed. This outbreak underlines that municipal and industrial WWTPs can play an important role in community LD cases and outbreaks, especially those with favourable conditions for Legionella growth and dissemination, or even non-favourable conditions for growth but with the influx of contaminated water.
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  • 文章类型: Journal Article
    背景:糖尿病患者特别容易感染嗜肺军团菌(LP),但糖尿病患者LP感染的确切发病机制尚不完全清楚。在这里,我们在体外和体内研究了糖尿病对LP感染期间免疫功能的影响。
    方法:在体外检查了正常和高糖(HG)条件下巨噬细胞中LP感染的时程。蛋白质印迹用于确定核苷酸结合寡聚化结构域1(NOD1),激酶1/2(ERK1/2),丝裂原活化蛋白激酶p38(MAPKp38),和c-JunN末端激酶(JNK)。酶联免疫吸附试验(ELISA)用于评估肿瘤坏死因子-α(TNF-α)和白细胞介素-6(IL-6)的分泌。细胞计数试剂盒-8(CCK8)测定评估了用不同浓度的高糖培养基和ML130(NOD1抑制剂)处理细胞后的U937细胞活力。对于体内研究,正常和链脲佐菌素诱导的糖尿病豚鼠感染LP6、24和72小时,之后NOD1,MAPK相关信号,TNF-α,和IL-6在肺组织中的表达使用免疫组织化学,westernblot,和RT-PCR。
    结果:与暴露于正常葡萄糖水平的LP感染细胞相比,HG减弱了由LP引起的NOD1表达的上调,并减少了TNF-α和IL-6的分泌(所有p<0.05)。在糖尿病豚鼠中,与对照猪相比,HG抑制了由LP感染引起的肺组织中NOD1表达的上调以及p38,ERK1/2和cJNK的激活(均p<0.05)。
    结论:HG通过抑制NOD1的上调和MAPK信号的激活来减弱巨噬细胞对LP感染的反应。
    BACKGROUND: Patients with diabetes are particularly susceptible to Legionella pneumophila (LP) infection, but the exact pathogenesis of LP infection in diabetic patients is still not fully understood. Herein, we investigated the effect of diabetes on immune function during LP infection in vitro and in vivo.
    METHODS: The time course of LP infection in macrophages under normal and high-glucose (HG) conditions was examined in vitro. Western blot was used to determine nucleotide-binding oligomerization domain 1 (NOD1), kinase 1/2 (ERK1/2), mitogen-activated protein kinase p38 (MAPK p38), and c-Jun N-terminal kinases (JNK). Enzyme-linked immunosorbent assay (ELISA) was used to assess the secretion of tumor necrosis factor-α (TNF-α) and interleukin-6 (IL-6). Cell Counting Kit-8 (CCK8) assay assessed U937 cell viability after treating cells with different concentrations of high sugar medium and ML130 (NOD1 inhibitor). For the in vivo study, normal and streptozocin-induced diabetic guinea pigs were infected with LP for 6, 24, and 72 h, after which NOD1, MAPK-related signals, TNF-α, and IL-6 expression in lung tissues were assessed using immunohistochemistry, western blot, and RT-PCR.
    RESULTS: HG attenuated the upregulation of NOD1 expression and reduced TNF-α and IL-6 secretion caused by LP compared with LP-infected cells exposed to normal glucose levels (all p < 0.05). In diabetic guinea pigs, HG inhibited the upregulation of NOD1 expression in lung tissues and the activation of p38, ERK1/2, and cJNK caused by LP infection compared to control pigs (all p < 0.05).
    CONCLUSIONS: HG attenuates the response of macrophages to LP infection by inhibiting NOD1 upregulation and the activation of MAPK signaling.
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