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Research Trends in Proteomic Studies Using Serum from COVID-19 Patients: A Bibliometric Analysis.
Amorim, Érika Alves da Fonsêca; Moraes Neto, Roberval Nascimento; Souza, Ana Viviam; Martinez, Camila Guerra; Zagmignan, Adrielle; Nascimento da Silva, Luís Cláudio.
Afiliação
  • Amorim ÉADF; Programa de Pós-graduação em Odontologia, Universidade CEUMA, 65075-120, São Luís, MA, Brazil.
  • Moraes Neto RN; Programa de Pós-graduação em Biodiversidade e Biotecnologia (PPG-Bionorte), Universidade CEUMA, 65075-120, São Luís, MA, Brazil.
  • Souza AV; Programa de Pós-graduação em Odontologia, Universidade CEUMA, 65075-120, São Luís, MA, Brazil.
  • Martinez CG; Programa de Pós-graduação em Biociências aplicadas à saúde, Universidade CEUMA, 65075-120, São Luís, MA, Brazil.
  • Zagmignan A; Programa de Pós-graduação em Biociências aplicadas à saúde, Universidade CEUMA, 65075-120, São Luís, MA, Brazil.
  • Nascimento da Silva LC; Programa de Pós-graduação em Odontologia, Universidade CEUMA, 65075-120, São Luís, MA, Brazil.
Curr Med Chem ; 2024 Apr 05.
Article em En | MEDLINE | ID: mdl-38584539
ABSTRACT
The COVID-19 pandemic significantly impacted the global populace, resulting in a staggering number of deaths across the globe. New approaches and biomarkers to evaluate disease progression are crucial for improving disease management. In this context, serum proteomics has emerged as a promising tool for identifying molecular alterations related to COVID-19. This work carried out a bibliometric evaluation of the current status and trends of studies applying serum proteomics to COVID-19 subjects. The search was performed using Web of Science and Scopus databases, and the results were analyzed in VOSviewer software. The investigation was limited to articles published between January 2020 and February 2023. The analysis found 48 articles, primarily experimental studies. China is the most influential country in this field, followed by the USA. The co-occurrence analysis performed by VOSviewer showed 170 keywords, of which 9 reached the occurrence threshold and were divided into two groups. The most cited words were related to biomarker identification and the use of proteomics for diagnosing and treating COVID-19. The most cited proteins include those classically associated with the immune system (IgG, IgM, interleukins, CXCL, CCL, MCP, CRP) and SAA1, SAA1, ApoA-1, TTR (prealbumin), SerpinA and ITIH4. Other studies have validated the predictive value of these serum markers and have the potential to improve the management of COVID-19 patients. The findings highlighted in this bibliometric study can help the researchers design new projects to enhance our understanding of the complex interplay between SARS-CoV-2 and host immunity.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article