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

Autor: Kosuke Saito, Rika Ishikawa, Isao Kitamura, Kumiko Ogawa, Noriaki Arakawa, Yuchen Sun, Kazuo Imai, Takuya Maeda, Yoshiro Saito, Chihiro Hasegawa
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Journal of Pharmacological Sciences, Vol 150, Iss 2, Pp 49-55 (2022)
Druh dokumentu: article
ISSN: 1347-8613
DOI: 10.1016/j.jphs.2022.06.005
Popis: 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.
Databáze: Directory of Open Access Journals