• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

在阿根廷的第一波和第二波 COVID-19 疫情期间,住院患者的细胞因子和趋化因子谱不同,但与临床合并症无关。

Different cytokine and chemokine profiles in hospitalized patients with COVID-19 during the first and second outbreaks from Argentina show no association with clinical comorbidities.

机构信息

Departamento de Bioquímica Clínica, Facultad de Ciencias Químicas, Universidad Nacional de Córdoba, Córdoba, Argentina.

Centro de Investigaciones en Bioquímica Clínica e Inmunología (CIBICI), Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Córdoba, Argentina.

出版信息

Front Immunol. 2023 Feb 1;14:1111797. doi: 10.3389/fimmu.2023.1111797. eCollection 2023.

DOI:10.3389/fimmu.2023.1111797
PMID:36817433
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9929547/
Abstract

BACKGROUND

COVID-19 severity has been linked to an increased production of inflammatory mediators called "cytokine storm". Available data is mainly restricted to the first international outbreak and reports highly variable results. This study compares demographic and clinical features of patients with COVID-19 from Córdoba, Argentina, during the first two waves of the pandemic and analyzes association between comorbidities and disease outcome with the "cytokine storm", offering added value to the field.

METHODS

We investigated serum concentration of thirteen soluble mediators, including cytokines and chemokines, in hospitalized patients with moderate and severe COVID-19, without previous rheumatic and autoimmune diseases, from the central region of Argentina during the first and second infection waves. Samples from healthy controls were also assayed. Clinical and biochemical parameters were collected.

RESULTS

Comparison between the two first COVID-19 waves in Argentina highlighted that patients recruited during the second wave were younger and showed less concurrent comorbidities than those from the first outbreak. We also recognized particularities in the signatures of systemic cytokines and chemokines in patients from both infection waves. We determined that concurrent pre-existing comorbidities did not have contribution to serum concentration of systemic cytokines and chemokines in COVID-19 patients. We also identified immunological and biochemical parameters associated to inflammation which can be used as prognostic markers. Thus, IL-6 concentration, C reactive protein level and platelet count allowed to discriminate between death and discharge in patients hospitalized with severe COVID-19 only during the first but not the second wave.

CONCLUSIONS

Our data provide information that deepens our understanding of COVID-19 pathogenesis linking demographic features of a COVID-19 cohort with cytokines and chemokines systemic concentration, presence of comorbidities and different disease outcomes. Altogether, our findings provide information not only at local level by delineating inflammatory/anti-inflammatory response of patients but also at international level addressing the impact of comorbidities and the infection wave in the variability of cytokine and chemokine production upon SARS-CoV-2 infection.

摘要

背景

COVID-19 的严重程度与称为“细胞因子风暴”的炎症介质的产生增加有关。现有数据主要限于第一次国际爆发,报告结果差异很大。本研究比较了阿根廷科尔多瓦 COVID-19 患者在大流行的前两个波期间的人口统计学和临床特征,并分析了合并症与疾病结局与“细胞因子风暴”之间的关系,为该领域提供了附加价值。

方法

我们研究了来自阿根廷中部地区住院的中度和重度 COVID-19 患者血清中十三种可溶性介质(包括细胞因子和趋化因子)的浓度,这些患者没有先前的风湿和自身免疫性疾病,并且在第一次和第二次感染波期间进行了分析。还对健康对照者的样本进行了检测。收集了临床和生化参数。

结果

阿根廷的前两次 COVID-19 波之间的比较突出表明,第二次波中招募的患者比第一次爆发中的患者年轻,并且并发合并症较少。我们还认识到来自两个感染波的患者的系统性细胞因子和趋化因子特征的特殊性。我们确定并发的预先存在的合并症对 COVID-19 患者的系统性细胞因子和趋化因子的血清浓度没有贡献。我们还确定了与炎症相关的免疫和生化参数,这些参数可作为预后标志物。因此,IL-6 浓度,C 反应蛋白水平和血小板计数仅在第一次波而不是第二次波中可用于区分患有严重 COVID-19 的住院患者的死亡和出院。

结论

我们的数据提供了有关 COVID-19 发病机制的信息,将 COVID-19 队列的人口统计学特征与细胞因子和趋化因子的系统浓度,合并症的存在以及不同的疾病结局联系起来。总的来说,我们的发现不仅在当地水平提供了有关患者炎症/抗炎反应的信息,而且还在国际水平上阐明了合并症和感染波对 SARS-CoV-2 感染时细胞因子和趋化因子产生的影响的变异性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d11/9929547/544b90e555cf/fimmu-14-1111797-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d11/9929547/c0c702818f2f/fimmu-14-1111797-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d11/9929547/3378e682da43/fimmu-14-1111797-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d11/9929547/ded8225c2a03/fimmu-14-1111797-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d11/9929547/5821eeb4c915/fimmu-14-1111797-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d11/9929547/d795d4f2f34b/fimmu-14-1111797-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d11/9929547/e130c95b7a0f/fimmu-14-1111797-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d11/9929547/544b90e555cf/fimmu-14-1111797-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d11/9929547/c0c702818f2f/fimmu-14-1111797-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d11/9929547/3378e682da43/fimmu-14-1111797-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d11/9929547/ded8225c2a03/fimmu-14-1111797-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d11/9929547/5821eeb4c915/fimmu-14-1111797-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d11/9929547/d795d4f2f34b/fimmu-14-1111797-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d11/9929547/e130c95b7a0f/fimmu-14-1111797-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d11/9929547/544b90e555cf/fimmu-14-1111797-g007.jpg

相似文献

1
Different cytokine and chemokine profiles in hospitalized patients with COVID-19 during the first and second outbreaks from Argentina show no association with clinical comorbidities.在阿根廷的第一波和第二波 COVID-19 疫情期间,住院患者的细胞因子和趋化因子谱不同,但与临床合并症无关。
Front Immunol. 2023 Feb 1;14:1111797. doi: 10.3389/fimmu.2023.1111797. eCollection 2023.
2
Multiplex array analysis of circulating cytokines and chemokines in COVID-19 patients during the first wave of the SARS-CoV-2 pandemic in Milan, Italy.意大利米兰 SARS-CoV-2 大流行第一波期间 COVID-19 患者循环细胞因子和趋化因子的多重微阵列分析。
BMC Immunol. 2024 Jul 26;25(1):49. doi: 10.1186/s12865-024-00641-z.
3
The Role of Cytokines and Chemokines in Severe Acute Respiratory Syndrome Coronavirus 2 Infections.细胞因子和趋化因子在严重急性呼吸综合征冠状病毒 2 感染中的作用。
Front Immunol. 2022 Apr 7;13:832394. doi: 10.3389/fimmu.2022.832394. eCollection 2022.
4
Cytokine Profiles Associated With Worse Prognosis in a Hospitalized Peruvian COVID-19 Cohort.与秘鲁 COVID-19 住院患者预后较差相关的细胞因子谱。
Front Immunol. 2021 Sep 1;12:700921. doi: 10.3389/fimmu.2021.700921. eCollection 2021.
5
COVID-19 and Sepsis.新型冠状病毒肺炎与脓毒症。
Turk J Med Sci. 2021 Dec 17;51(SI-1):3301-3311. doi: 10.3906/sag-2108-239.
6
Mast cells activated by SARS-CoV-2 release histamine which increases IL-1 levels causing cytokine storm and inflammatory reaction in COVID-19.SARS-CoV-2 激活的肥大细胞释放组织胺,增加白细胞介素-1 水平,导致 COVID-19 中的细胞因子风暴和炎症反应。
J Biol Regul Homeost Agents. 2020;34(5):1629-1632. doi: 10.23812/20-2EDIT.
7
Association between inflammatory cytokines/chemokines, clinical laboratory parameters, disease severity and in-hospital mortality in critical and mild COVID-19 patients without comorbidities or immune-mediated diseases.无合并症或免疫介导疾病的重症和轻症 COVID-19 患者中炎症细胞因子/趋化因子、临床实验室参数、疾病严重程度与院内死亡率之间的关联
J Immunoassay Immunochem. 2023 Jan 2;44(1):13-30. doi: 10.1080/15321819.2022.2104124. Epub 2022 Aug 2.
8
The cytokine storm in COVID-19: Further advances in our understanding the role of specific chemokines involved.COVID-19 中的细胞因子风暴:我们对涉及的特定趋化因子作用的理解的进一步进展。
Cytokine Growth Factor Rev. 2021 Apr;58:82-91. doi: 10.1016/j.cytogfr.2020.12.005. Epub 2021 Jan 8.
9
Safety and Efficacy of Imatinib for Hospitalized Adults with COVID-19: A structured summary of a study protocol for a randomised controlled trial.COVID-19 住院成人患者使用伊马替尼的安全性和疗效:一项随机对照试验研究方案的结构化总结。
Trials. 2020 Oct 28;21(1):897. doi: 10.1186/s13063-020-04819-9.
10
Contribution of monocytes and macrophages to the local tissue inflammation and cytokine storm in COVID-19: Lessons from SARS and MERS, and potential therapeutic interventions.在 COVID-19 中,单核细胞和巨噬细胞对局部组织炎症和细胞因子风暴的贡献:来自 SARS 和 MERS 的教训,以及潜在的治疗干预措施。
Life Sci. 2020 Sep 15;257:118102. doi: 10.1016/j.lfs.2020.118102. Epub 2020 Jul 18.

引用本文的文献

1
Genomic Evolution of the SARS-CoV-2 Omicron Variant in Córdoba, Argentina (2021-2022): Analysis of Uncommon and Prevalent Spike Mutations.阿根廷科尔多瓦省新冠病毒奥密克戎变种的基因组进化(2021 - 2022年):罕见和常见刺突蛋白突变分析
Viruses. 2024 Dec 3;16(12):1877. doi: 10.3390/v16121877.
2
Racial Differences in Systemic Immune Parameters in Individuals With Lung Cancer.肺癌患者全身免疫参数的种族差异。
JTO Clin Res Rep. 2024 Oct 19;6(1):100751. doi: 10.1016/j.jtocrr.2024.100751. eCollection 2025 Jan.
3
Anti-Inflammatory Cytokine Profiles in Thrombotic Thrombocytopenic Purpura-Differences Compared to COVID-19.

本文引用的文献

1
Phylogenetic analysis and comparative genomics of SARS-CoV-2 from survivor and non-survivor COVID-19 patients in Cordoba, Argentina.对来自阿根廷科尔多瓦 COVID-19 幸存者和非幸存者的 SARS-CoV-2 的系统进化分析和比较基因组学研究
BMC Genomics. 2022 Jul 14;23(1):510. doi: 10.1186/s12864-022-08756-6.
2
COVID-19 and Preexisting Comorbidities: Risks, Synergies, and Clinical Outcomes.COVID-19 与合并症:风险、协同作用和临床结局。
Front Immunol. 2022 May 27;13:890517. doi: 10.3389/fimmu.2022.890517. eCollection 2022.
3
Cytokines from Bench to Bedside: A Retrospective Study Identifies a Definite Panel of Biomarkers to Early Assess the Risk of Negative Outcome in COVID-19 Patients.
抗炎症细胞因子谱在血栓性血小板减少性紫癜中的表现——与 COVID-19 相比存在差异。
Int J Mol Sci. 2024 Sep 17;25(18):10007. doi: 10.3390/ijms251810007.
4
COVID-19 patients display changes in lymphocyte subsets with a higher frequency of dysfunctional CD8lo T cells associated with disease severity.COVID-19 患者的淋巴细胞亚群发生变化,功能失调的 CD8lo T 细胞频率更高,与疾病严重程度相关。
Front Immunol. 2023 Sep 21;14:1223730. doi: 10.3389/fimmu.2023.1223730. eCollection 2023.
细胞因子从实验室到临床:一项回顾性研究确定了一组明确的生物标志物,可早期评估 COVID-19 患者不良结局的风险。
Int J Mol Sci. 2022 Apr 27;23(9):4830. doi: 10.3390/ijms23094830.
4
Anti-inflammatory and immune therapy in severe coronavirus disease 2019 (COVID-19) patients: An update.抗炎症和免疫治疗严重的 2019 冠状病毒病(COVID-19)患者:更新。
Clin Immunol. 2022 Jun;239:109022. doi: 10.1016/j.clim.2022.109022. Epub 2022 Apr 25.
5
Inducible Nitric Oxide Synthase (iNOS): Why a Different Production in COVID-19 Patients of the Two Waves?诱导型一氧化氮合酶(iNOS):为何两波新冠患者中其产生情况不同?
Viruses. 2022 Mar 5;14(3):534. doi: 10.3390/v14030534.
6
Clinical characteristics of the first three waves of hospitalised patients with COVID-19 in Japan prior to the widespread use of vaccination: a nationwide observational study.日本疫苗广泛接种前新冠肺炎住院患者前三波的临床特征:一项全国性观察研究。
Lancet Reg Health West Pac. 2022 Mar 16;22:100421. doi: 10.1016/j.lanwpc.2022.100421. eCollection 2022 May.
7
The immunology and immunopathology of COVID-19.新型冠状病毒肺炎的免疫学和免疫病理学。
Science. 2022 Mar 11;375(6585):1122-1127. doi: 10.1126/science.abm8108. Epub 2022 Mar 10.
8
Tocilizumab and COVID-19: Timing of Administration and Efficacy.托珠单抗与新型冠状病毒肺炎:给药时机与疗效
Front Pharmacol. 2022 Feb 18;13:825749. doi: 10.3389/fphar.2022.825749. eCollection 2022.
9
Differential COVID-19 Symptoms Given Pandemic Locations, Time, and Comorbidities During the Early Pandemic.大流行早期不同地区、时间及合并症情况下的新冠病毒病差异症状
Front Med (Lausanne). 2022 Jan 28;9:770031. doi: 10.3389/fmed.2022.770031. eCollection 2022.
10
Sex differences in COVID-19 mortality in the Netherlands.荷兰 COVID-19 死亡率的性别差异。
Infection. 2022 Jun;50(3):709-717. doi: 10.1007/s15010-021-01744-0. Epub 2022 Feb 9.