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Jianping Hu Yiting Zhang Shenglan Yi Chaokui Wang Xinyue Huang Su Pan Jinglu Yang Gangxiang Yuan Sisi Tan Hong Li 《International journal of biological sciences》2022,18(11):4545
Dendritic cells (DCs) are the major antigen-presenting cells and play an important role in autoimmune uveitis. Emerging evidence suggests that bile acids (BAs) regulate DCs maturation. However, the underlying mechanisms by which BAs regulate the function of DCs still need to be clarified. Here, we demonstrate that lithocholic acid (LCA) inhibits the production of pro-inflammatory cytokines and the expression of surface molecules in bone marrow-derived dendritic cells (BMDCs). LCA attenuates the severity of EAU by modulating the maturation of splenic CD11C+MHCIIhigh DCs. Notably, Takeda G-protein coupled receptor 5 (TGR5) deficiency partially reverses the inhibitory effect of LCA on DCs in vitro and in vivo. TGR5 activation also downregulates the NF-κB and MAPK pathways by inhibiting glutathione production and inducing oxidative stress in DCs, which leads to apoptosis and autophagy in DCs. In addition, LCA or INT-777 treatment increases the TGR5 expression in monocyte-derived dendritic cells (MD-DCs) of patients with active BD, whereas both LCA and TGR5 agonists inhibit the activation of MD-DCs. These results suggest that LCA and TGR5 agonists might be potential therapeutic drugs for the treatment of autoimmune uveitis. 相似文献
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入侵植物释放的化感物质可改变土壤理化性状和微生物群落结构,通过与土壤微生物的互作抑制本土植物生长。为了进一步诠释土荆芥化感作用机制,采用温室培养瓶法,探讨了其挥发油对土壤胞外酶活性和微生物多样性的影响。结果表明:土荆芥挥发油不同程度降低了脲酶、酸性磷酸酶、蔗糖酶和硝酸还原酶的活性(P0.05);较高剂量的挥发油处理组显著促进了过氧化氢酶活性(P0.05)。处理初期挥发油对土壤胞外酶活性影响较大,但随着处理时间延长,其影响逐渐减弱;处理16 d后,较高剂量(20μL和50μL)的挥发油处理组细菌数量显著高于对照(P0.05)。挥发油对土壤放线菌数量的影响表现为低剂量促进,高剂量抑制的效应;PCR-DGGE分析表明,随着挥发油处理剂量增加和处理时间延长,土壤中细菌和真菌的Shannonwiener多样性指数和丰富度指数均增大。结论:土荆芥挥发油可改变土壤微生物群落结构和胞外酶活性,增加土壤微生物多样性。 相似文献
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农田小麦在土壤湿润条件下的气孔活动 总被引:1,自引:0,他引:1
1984年在北京大屯农业生态系统试验站用MK 3型自动气孔计对土壤湿润、睛朗天气条件下冬小麦气孔传导力的日变化,季节变化、以及叶龄和梯度变化进行了观测。发现叶片传导力(gl)的日变化为双峰曲线,正午gl的降低可能是强光和高的饱和差作用的结果,从而限制了光合潜力的发挥。近轴面传导力(gd)和远轴面传导力(gb)的比(α)不是一个常数,这是因为两面气孔对环境条件的反应不同。gl和冠层传导力(g(?))都以孕穗期为最高。灌浆时期gl和gc有所降低,反映了叶片的过早衰老。这是影响本地区小麦产量的重要因素之一,其原因不仅与土壤水分有关,还与大气条件和病虫害有关。本文还讨论了gl随时龄的变化。观测表明,气孔计可以迅速准确地掌握作物群体的生理动态,有可能用于指导农田灌灌和管理。 相似文献
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Chen Chen John Wang Jeff Kwong JinHee Kim Aaron van Donkelaar Randall V. Martin Perry Hystad Yushan Su Eric Lavigne Megan Kirby-McGregor Jay S. Kaufman Tarik Benmarhnia Hong Chen 《CMAJ》2022,194(20):E693
Background:The tremendous global health burden related to COVID-19 means that identifying determinants of COVID-19 severity is important for prevention and intervention. We aimed to explore long-term exposure to ambient air pollution as a potential contributor to COVID-19 severity, given its known impact on the respiratory system.Methods:We used a cohort of all people with confirmed SARS-CoV-2 infection, aged 20 years and older and not residing in a long-term care facility in Ontario, Canada, during 2020. We evaluated the association between long-term exposure to fine particulate matter (PM2.5), nitrogen dioxide (NO2) and ground-level ozone (O3), and risk of COVID-19-related hospital admission, intensive care unit (ICU) admission and death. We ascertained individuals’ long-term exposures to each air pollutant based on their residence from 2015 to 2019. We used logistic regression and adjusted for confounders and selection bias using various individual and contextual covariates obtained through data linkage.Results:Among the 151 105 people with confirmed SARS-CoV-2 infection in Ontario in 2020, we observed 8630 hospital admissions, 1912 ICU admissions and 2137 deaths related to COVID-19. For each interquartile range increase in exposure to PM2.5 (1.70 μg/m3), we estimated odds ratios of 1.06 (95% confidence interval [CI] 1.01–1.12), 1.09 (95% CI 0.98–1.21) and 1.00 (95% CI 0.90–1.11) for hospital admission, ICU admission and death, respectively. Estimates were smaller for NO2. We also estimated odds ratios of 1.15 (95% CI 1.06–1.23), 1.30 (95% CI 1.12–1.50) and 1.18 (95% CI 1.02–1.36) per interquartile range increase of 5.14 ppb in O3 for hospital admission, ICU admission and death, respectively.Interpretation:Chronic exposure to air pollution may contribute to severe outcomes after SARS-CoV-2 infection, particularly exposure to O3.By November 2021, COVID-19 had caused more than 5 million deaths globally1 and more than 29 400 in Canada.2 The clinical manifestations of SARS-CoV-2 infection range from being asymptomatic to multiple organ failure and death. Identifying risk factors for COVID-19 severity is important to better understand etiological mechanisms and identify populations to prioritize for screening, vaccination and medical treatment. Risk factors for severity of COVID-19 include male sex, older age, pre-existing medical conditions and being from racialized communities.3–5 More recently, ambient air pollution has been implicated as a potential driver of COVID-19 severity.6–10Long-term exposure to ambient air pollution, a major contributor to global disease burden,11 could increase the risk of severe COVID-19 outcomes by several mechanisms. Air pollutants can reduce individuals’ pulmonary immune responses and antimicrobial activities, boosting viral loads.8 Air pollution can also induce chronic inflammation and overexpression of the alveolar angiotensin-converting enzyme 2 (ACE) receptor,7 the key receptor that facilitates SARS-CoV-2 entry into cells.12,13 Exposure to air pollution contributes to chronic conditions, such as cardiovascular disease, that are associated with unfavourable COVID-19 prognosis, possibly owing to persistent immune activation and excessive amplification of cytokine development.10 Thus, greater exposure to long-term air pollution may lead to severe COVID-19 outcomes.Reports exist of positive associations between long-term exposure to particulate matter with diameters equal to or smaller than 2.5 or 10 μm (PM2.5 and PM10), ground-level ozone (O3) and nitrogen dioxide (NO2), and metrics of COVID-19 severity (e.g., mortality and case fatality rate).8–10 However, most studies to date have used ecological and cross-sectional designs, owing to limited access to individual data, which leads to ambiguity in interpreting the results, thus hindering their influence on policy. 6,14 Ecological designs do not allow for disentangling the relative impacts of air pollution on individual susceptibility to infection and disease severity.14 Residual confounding by factors such as population mobility and social interactions is also problematic. Therefore, a cohort study with data on individuals with SARS-CoV-2 is a more appropriate design.6,14 Studies that have used individual data were conducted in specific subpopulations15,16 or populations with few severe cases,17 or had limited data on individual exposure to air pollutants.18 In Canada, 1 ecological study found a positive association between long-term exposure to PM2.5 and COVID-19 incidence,19 but no published study has explored the association between air pollution and COVID-19 severity.We aimed to examine the associations between long-term exposure to 3 common air pollutants (PM2.5, NO2 and O3) and key indicators of COVID-19 severity, including hospital admission, intensive care unit (ICU) admission and death, using a large prospective cohort of people with confirmed SARS-CoV-2 infection in Ontario, Canada, in 2020. The air contaminants PM2.5, NO2 and O3 are regularly monitored by the Canadian government, and are key pollutants that are considered when setting air-quality policies. They originate from varying sources (NO2 is primarily emitted during combustion of fuel, O3 is primarily formed in air by chemical reactions of nitrogen oxides and volatile organic compounds, and PM2.5 can be emitted during combustion or formed by reactions of chemicals like sulphur dioxide and nitrogen oxides in air) and they may affect human health differently.20,21,22 相似文献
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谭清苏铁性别相关的RAPD标记研究 总被引:1,自引:0,他引:1
以谭清苏铁(Cycas tanqingii D.Y.Wang)雌雄植株半年生羽叶为材料,用优化的CTAB法分别提取其全基因组DNA,进行RAPD单因子梯度实验和正交实验以优化扩增条件。应用160个RAPD随机引物检测基因组DNA,雌雄植株均扩增出1450多条带,其中引物S0465扩增出与谭清苏铁雌株高度相关的RAPD标记,其大小约为500bp,该标记与雄株没有关联。 相似文献
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