Characterization model of the post COVID-19 condition based on immunological, biochemical, and cytokine markers

基于免疫学、生化和细胞因子标志物的 COVID-19 后状况表征模型

阅读:6
作者:Bárbara Oliván-Blázquez, Marta Bona-Otal, Fátima Méndez-López, David Lerma-Irureta, Paula García-Izuel, Jesús Ibáñez-Ruiz, Alberto Montolío, María Ruiz-Herreros, Javier Godino, Beatriz Jimeno-Beltran, María Del Mar Encabo-Berzosa, Izaskun Arenaz, Ana Medel-Martínez, Verónica Casado-Vicente, Mayte Co

Abstract

Post-coronavirus disease condition (PCC) continues to affect many people globally, yet there remains a lack of diagnostic biomarkers to distinguish PCC from those recovered from acute COVID-19. This study compared biomarkers between two age- and gender-matched groups: PCC individuals and those recovered within three months of acute COVID-19 in 2020 (n = 85 each). Biomarkers were assessed 12-24 months after initial diagnosis, examining biochemical profiles, blood cell counts, coagulation status, antibody serology, lymphocyte populations, and cytokine levels. PCC individuals exhibited significant alterations in 49 of 167 markers, including K+ levels, αGAD antibodies, antithrombin III, insulin-like growth factor-binding protein 3 (IGFBP3), and interleukin-10 (IL-10). A panel of αGAD, IL-10, potassium levels, and CD16brightCD56- cell presence distinguished PCC individuals from recovered patients with >88% accuracy and <92% precision.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。