Characterization of serotonin as a candidate biomarker of severity and prognosis of COVID-19 using LC/MS analysis

The coronavirus disease 2019 (COVID-19) pandemic has been associated with high mortality worldwide. Owing to its complicated pathophysiology, diagnostic and prognostic biomarkers for effective patient management remain scarce. We analyzed kynurenine, tryptophan, and serotonin levels in the serum of...

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Detalles Bibliográficos
Autores principales: Saito, Kosuke, Ishikawa, Rika, Kitamura, Isao, Ogawa, Kumiko, Arakawa, Noriaki, Sun, Yuchen, Imai, Kazuo, Maeda, Takuya, Saito, Yoshiro, Hasegawa, Chihiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Authors. Production and hosting by Elsevier B.V. on behalf of Japanese Pharmacological Society. 2022
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Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9339153/
https://www.ncbi.nlm.nih.gov/pubmed/36055751
http://dx.doi.org/10.1016/j.jphs.2022.06.005
Descripción
Sumario:The coronavirus disease 2019 (COVID-19) pandemic has been associated with high mortality worldwide. Owing to its complicated pathophysiology, diagnostic and prognostic biomarkers for effective patient management remain scarce. We analyzed kynurenine, tryptophan, and serotonin levels in the serum of patients with COVID-19 via liquid chromatography/mass spectrometry analysis. Serum serotonin levels were decreased in patients with more severe COVID-19, along with increased kynurenine and decreased tryptophan concentrations. Patients with moderate disease who subsequently worsened showed significantly lower serotonin concentrations compared with those who did not experience severe disease. Serum serotonin levels may represent a valuable biomarker for COVID-19 severity and prognosis.

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