Author:
Queiroz Maria Alice Freitas,Brito Wandrey Roberto dos Santos,Pereira Keise Adrielle Santos,Pereira Leonn Mendes Soares,Amoras Ednelza da Silva Graça,Lima Sandra Souza,Santos Erika Ferreira dos,Costa Flávia Póvoa da,Sarges Kevin Matheus Lima de,Cantanhede Marcos Henrique Damasceno,Brito Mioni Thieli Figueiredo Magalhães d,Silva Andréa Luciana Soares da,Leite Mauro de Meira,Viana Maria de Nazaré do Socorro de Almei,Rodrigues Fabíola Brasil Barbosa,Silva Rosilene da,Viana Giselle Maria Rachid,Chaves Tânia do Socorro Souza,Veríssimo Adriana de Oliveira Lameira,Carvalho Mayara da Silva,Henriques Daniele Freitas,Silva Carla Pinheiro da,Nunes Juliana Abreu Lima,Costa Iran Barros,Cayres-Vallinoto Izaura Maria Vieira,Brasil-Costa Igor,Quaresma Juarez Antônio Simões,Falcão Luiz Fábio Magno,Santos Eduardo José Melo dos,Vallinoto Antonio Carlos Rosário
Abstract
AbstractThe cGAS-STING pathway appears to contribute to dysregulated inflammation during coronavirus disease 2019 (COVID-19); however, inflammatory factors related to long COVID are still being investigated. In the present study, we evaluated the association of cGAS and STING gene expression levels and plasma IFN-α, TNF-α and IL-6 levels with COVID-19 severity in acute infection and long COVID, based on analysis of blood samples from 148 individuals, 87 with acute COVID-19 and 61 in the post-COVID-19 period. Quantification of gene expression was performed by real-time PCR, and cytokine levels were quantified by ELISA and flow cytometry. In acute COVID-19, cGAS, STING, IFN-α, TNF-α, and IL-6 levels were higher in patients with severe disease than in those with nonsevere manifestations (p < 0.05). Long COVID was associated with elevated cGAS, STING and IFN-α levels (p < 0.05). Activation of the cGAS-STING pathway may contribute to an intense systemic inflammatory state in severe COVID-19 and, after infection resolution, induce an autoinflammatory disease in some tissues, resulting in long COVID.
Funder
Conselho Nacional de Desenvolvimento Científico e Tecnológico
Secretariat of Science, Technology and Higher, Professional and Technological Education
Fundação Amazônia de Amparo a Estudos e Pesquisa do Pará
Federal University of Para
Publisher
Springer Science and Business Media LLC
Reference58 articles.
1. WHO. WHO Global Clinical Platform for the Clinical Characterization of COVID-19: Statistical Analysis Plan. https://www.who.int/publications/i/item/WHO-2019-nCoV-Clinical-Analytic-plan-2021.1 (2021).
2. Wang, F. et al. Epidemiological characteristics of patients with severe COVID-19 infection in Wuhan, China: Evidence from a retrospective observational study. Int. J. Epidemiol. 49(6), 1940–1950 (2021).
3. Nagant, C. et al. A score combining early detection of cytokines accurately predicts COVID-19 severity and intensive care unit transfer. Int. J. Infect. Dis. 101, 342–345 (2020).
4. da Silva Torres, M. K. et al. The complexity of SARS-CoV-2 infection and the COVID-19 pandemic. Front. Microbiol. 13, 789882 (2022).
5. Collins, F.S. NIH Launches New Initiative to Study “Long COVID”. National Institutes of Health; Bethesda, MD, USA. Available at: https://www.nih.gov/about-nih/who-we-are/nih-director/statements/nih-launches-new-initiative-study-long-covid.
Cited by
3 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献