Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Article . 2024
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Article . 2024
License: CC BY
Data sources: Datacite
ZENODO
Article . 2024
License: CC BY
Data sources: Datacite
versions View all 3 versions
addClaim

Características clínicas y expresión génica de citocinas en pacientes con síndrome post-COVID-19

Clinical characteristics and cytokine gene expression in patients with post-COVID-19 syndrome
Authors: María Magdalena, Valencia-Gutiérrez; Modesto, Gómez-López; Nadia Mabel, Pérez-Vielma; Paulina, Lázaro-Aguilar; Víctor Ricardo, Aguilera-Sosa;

Características clínicas y expresión génica de citocinas en pacientes con síndrome post-COVID-19

Abstract

Resumen Introducción: el síndrome post-COVID-19 ocurre 3 meses después de la infección por COVID-19 y tiene una duración mínima de 2 meses. Hay poca información sobre los genes que se encuentran asociados a la desregulación del sistema inmune. Objetivo: evaluar la expresión génica y su relación con el síndrome post-COVID-19. Materiales y métodos: estudio transversal, retrolectivo y analítico que incluyó 56 pacientes con síndrome post-COVID-19. Se registraron las características clínicas y se analizaron los genes serotonina IL-4, IL-1β, SOCS3, ILF13, e IFNL4 con técnicas de TRIzol® Reagent y técnica PCR-RT. Resultados: la prevalencia de síndrome post-COVID19 fue 82.1%, sin diferencias en relación con la severidad de los síntomas o comorbilidades. Las características clínicas relacionadas con la presencia del síndrome fueron: sexo mujer, con una razón de momios (RM) de 4.25 (intervalo de confianza [IC 95%] 1.02-17.69) y el consumo de fármacos con RM 8.25 (IC 95% 0.97-70.50). Los factores protectores para fatiga fueron la expresión de serotonina, con una RM 0.238 (0.060-0.949); para problemas en la concentración, la SOCS3 con una RM de 0.188 (0.037-0.946), y para alteraciones en la memoria, el IFNL4 con una RM de 0.094 (0.015-0.586). Conclusiones: los factores asociados a síndrome post-COVID-19 fueron sexo femenino, consumo de fármacos y desregulación génica de serotonina, IFNL4 y SOCS3.

Background: Post-COVID-19 syndrome occurs 3 months after COVID-19 infection and lasts at least 2 months. There is insufficient information on the genes associated with immune system dysregulation. Objective: To evaluate gene expression and its relationship with post-COVID-19 syndrome. Materials and methods: Cross-sectional, retrolective and analytical study which included 56 patients with post-COVID-19 syndrome. Clinical characteristics were recorded and serotonin IL-4, IL-1β, SOCS3, ILF13, and IFNL4 genes were analyzed with TRIzol® Reagent and PCR-RT techniques. Results: the prevalence of post-COVID-19 syndrome was 82.1%, with no differences in relation to the severity of symptoms or comorbidities. The clinical characteristics related to the presence of the syndrome were female sex with an odds ratio (OR) of 4.25 (95% confidence interval [95% CI] 1.02-17.69), and drug consumption with an OR of 8.25 (95% CI 0.97-70.50). Protective factors for fatigue were serotonin expression with an OR of 0.238 (95% CI 0.060-0.949); for concentration problems, SOCS3 with an OR of 0.188 (95% CI 0.037-0.946), and for memory impairment IFNL4 OR 0.094 (95% CI 0.015-0.586). Conclusions: the associated factors with post-COVID-19 syndrome were female sex, drug use, and gene dysregulation of serotonin, INFL4 and SOCS3.

Keywords

Male, Adult, Aportación Original, COVID-19, Gene Expression, Middle Aged, Young Adult, Cross-Sectional Studies, Post-Acute COVID-19 Syndrome, Suppressor of Cytokine Signaling 3 Protein, Humans, Cytokines, Female, Proteína SOCS3; Serotonina; Interleucina-1beta; Interleucina-13; Síndrome Post Agudo de COVID-19; SOCS3 Protein; Serotonin; interleukin-1beta; Interleukin-13; Post-Acute COVID-19 Syndrome, Aged

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green