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COVID-19康复期成年患者后遗症的生物标志物

Biomarkers of sequela in adult patients convalescing from COVID-19.

作者信息

Marsán-Suárez Vianed, Casado-Hernández Imilla, Hernández-Ramos Elizabeth, Díaz-Domínguez Gabriela, Triana-Marrero Yenisey, Duarte-Pérez Yaneisy, Miranda-Navarro Jamilet, Bringas-Pérez Ricardo, Simón-Pita Ana María, Hernández-Rego Yaquima de Los Milagros, Miguel-Morales Maydelín, Patria-Sánchez Mysleidis, Zamora-González Yaneth, Romero-Díaz Yisenia, Aquino-Rojas Suharmi, González-Díaz Ihosvani, Merlín-Linares Julio César, Leyva-Rodríguez Aymara, Rodríguez-Pérez Maylín, Benito-Caballero Onasi, Navarro-Mariño José Antonio, Elejalde-Larrinaga Angel René, Elejalde-Tamayo Claudia, Tam-Rey Lázara Minerva, Ruiz-Villegas Laura, de la Guardia-Peña Odalis María, Jerez-Barcel Yanet, Chang-Monteagudo Arturo, Lam-Díaz Rosa María, Macías-Abraham Consuelo Milagros

机构信息

Dr. in Medical Sciences, 1st and 2nd Degree Specialist in Immunology, Associated Professor, Assistant Researcher, Immunochemistry and Immunology Department, Institute of Hematology and Immunology, Cuba.

Degree in Biology, Assistant Professor, Assistant Researcher, Immunochemistry and Immunology Department, Institute of Hematology and Immunology, Cuba.

出版信息

Adv Biomark Sci Technol. 2022;4:36-53. doi: 10.1016/j.abst.2022.10.001. Epub 2022 Nov 9.

DOI:10.1016/j.abst.2022.10.001
PMID:36404876
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9645947/
Abstract

Different biomarkers for SARS-CoV-2 have been linked to detection, diagnosis, treatment, disease progression, and development of new drugs and vaccines. The objective of this research was to evaluate various hematological, biochemicals, immunological, radiological and spirometric parameters in 20 adult patients convalescing from COVID-19 and their possible relationship with the clinical course of the disease. The frequencies of categorical variables were compared using the chi-square and Fisher's exact test. The levels of statistical significance were denoted in each figure legend. Two-dimensional clustering analysis was performed using MeV software from TIGR. The tests with P value of ≤ 0.05 were considered statistically significant. Most of the patients studied presented alterations in dissimilar laboratory, radiological and spirometric parameters, which were related to the clinical evolution of the disease. The results obtained show that certain hematological, biochemical, immunological and radiological parameters can be considered as biomarkers of sequela in adult COVID-19 patients, which allows their stratification, according to the degree of involvement or sequela, into three groups: I (mild degree of involvement or sequela), without lung lesions on computerized axial tomography (CT scan) and high values of IgG, C3 and hemoglobin, II (moderate degree of involvement or sequel), without lung lesions on CT scan, characterized by high levels of CD3+/CD4+ T lymphocytes and the rest of the variables with low values and III (severe degree of involvement or sequela), with lung lesions on CT scan and high values of erythrocyte sedimentation rate, monocytes and neutrophils, associated with lymphopenia and decreased concentrations of IgG and C3.

摘要

针对严重急性呼吸综合征冠状病毒2(SARS-CoV-2)的不同生物标志物已与检测、诊断、治疗、疾病进展以及新药和疫苗的研发相关联。本研究的目的是评估20名正在从新型冠状病毒肺炎(COVID-19)康复的成年患者的各种血液学、生化、免疫学、放射学和肺功能参数,以及它们与疾病临床进程的可能关系。使用卡方检验和费舍尔精确检验比较分类变量的频率。每个图注中注明了统计学显著性水平。使用来自TIGR的MeV软件进行二维聚类分析。P值≤0.05的检验被认为具有统计学显著性。大多数研究患者在不同的实验室、放射学和肺功能参数方面存在改变,这些改变与疾病的临床演变相关。所获得的结果表明,某些血液学、生化、免疫学和放射学参数可被视为成年COVID-19患者后遗症的生物标志物,这使得根据受累程度或后遗症程度将他们分为三组:I组(轻度受累或后遗症),计算机断层扫描(CT扫描)无肺部病变,IgG、C3和血红蛋白值高;II组(中度受累或后遗症),CT扫描无肺部病变,其特征是CD3+/CD4+ T淋巴细胞水平高,其他变量值低;III组(重度受累或后遗症),CT扫描有肺部病变,红细胞沉降率、单核细胞和中性粒细胞值高,伴有淋巴细胞减少以及IgG和C3浓度降低。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95e1/9645947/c3eefce1bd58/gr10_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95e1/9645947/0370e29eee35/gr1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95e1/9645947/aba0ebd44b7c/gr2_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95e1/9645947/2d97c8f7dd6e/gr3_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95e1/9645947/615acceec4a8/gr4_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95e1/9645947/2dd4d787ff18/gr5_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95e1/9645947/119b656b4e31/gr6_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95e1/9645947/73e78949e483/gr7_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95e1/9645947/7aa5eb420d2c/gr8_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95e1/9645947/06254ee872d3/gr9_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95e1/9645947/c3eefce1bd58/gr10_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95e1/9645947/0370e29eee35/gr1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95e1/9645947/aba0ebd44b7c/gr2_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95e1/9645947/2d97c8f7dd6e/gr3_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95e1/9645947/615acceec4a8/gr4_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95e1/9645947/2dd4d787ff18/gr5_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95e1/9645947/119b656b4e31/gr6_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95e1/9645947/73e78949e483/gr7_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95e1/9645947/7aa5eb420d2c/gr8_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95e1/9645947/06254ee872d3/gr9_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95e1/9645947/c3eefce1bd58/gr10_lrg.jpg

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