Cargando…
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...
Autores principales: | , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Authors. Production and hosting by Elsevier B.V. on behalf of Japanese Pharmacological Society.
2022
|
Materias: | |
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 |
_version_ | 1784760130530705408 |
---|---|
author | Saito, Kosuke Ishikawa, Rika Kitamura, Isao Ogawa, Kumiko Arakawa, Noriaki Sun, Yuchen Imai, Kazuo Maeda, Takuya Saito, Yoshiro Hasegawa, Chihiro |
author_facet | Saito, Kosuke Ishikawa, Rika Kitamura, Isao Ogawa, Kumiko Arakawa, Noriaki Sun, Yuchen Imai, Kazuo Maeda, Takuya Saito, Yoshiro Hasegawa, Chihiro |
author_sort | Saito, Kosuke |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9339153 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | The Authors. Production and hosting by Elsevier B.V. on behalf of Japanese Pharmacological Society. |
record_format | MEDLINE/PubMed |
spelling | pubmed-93391532022-08-01 Characterization of serotonin as a candidate biomarker of severity and prognosis of COVID-19 using LC/MS analysis Saito, Kosuke Ishikawa, Rika Kitamura, Isao Ogawa, Kumiko Arakawa, Noriaki Sun, Yuchen Imai, Kazuo Maeda, Takuya Saito, Yoshiro Hasegawa, Chihiro J Pharmacol Sci Full Paper 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. The Authors. Production and hosting by Elsevier B.V. on behalf of Japanese Pharmacological Society. 2022-10 2022-07-31 /pmc/articles/PMC9339153/ /pubmed/36055751 http://dx.doi.org/10.1016/j.jphs.2022.06.005 Text en © 2022 The Authors Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Full Paper Saito, Kosuke Ishikawa, Rika Kitamura, Isao Ogawa, Kumiko Arakawa, Noriaki Sun, Yuchen Imai, Kazuo Maeda, Takuya Saito, Yoshiro Hasegawa, Chihiro Characterization of serotonin as a candidate biomarker of severity and prognosis of COVID-19 using LC/MS analysis |
title | Characterization of serotonin as a candidate biomarker of severity and prognosis of COVID-19 using LC/MS analysis |
title_full | Characterization of serotonin as a candidate biomarker of severity and prognosis of COVID-19 using LC/MS analysis |
title_fullStr | Characterization of serotonin as a candidate biomarker of severity and prognosis of COVID-19 using LC/MS analysis |
title_full_unstemmed | Characterization of serotonin as a candidate biomarker of severity and prognosis of COVID-19 using LC/MS analysis |
title_short | Characterization of serotonin as a candidate biomarker of severity and prognosis of COVID-19 using LC/MS analysis |
title_sort | characterization of serotonin as a candidate biomarker of severity and prognosis of covid-19 using lc/ms analysis |
topic | Full Paper |
url | 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 |
work_keys_str_mv | AT saitokosuke characterizationofserotoninasacandidatebiomarkerofseverityandprognosisofcovid19usinglcmsanalysis AT ishikawarika characterizationofserotoninasacandidatebiomarkerofseverityandprognosisofcovid19usinglcmsanalysis AT kitamuraisao characterizationofserotoninasacandidatebiomarkerofseverityandprognosisofcovid19usinglcmsanalysis AT ogawakumiko characterizationofserotoninasacandidatebiomarkerofseverityandprognosisofcovid19usinglcmsanalysis AT arakawanoriaki characterizationofserotoninasacandidatebiomarkerofseverityandprognosisofcovid19usinglcmsanalysis AT sunyuchen characterizationofserotoninasacandidatebiomarkerofseverityandprognosisofcovid19usinglcmsanalysis AT imaikazuo characterizationofserotoninasacandidatebiomarkerofseverityandprognosisofcovid19usinglcmsanalysis AT maedatakuya characterizationofserotoninasacandidatebiomarkerofseverityandprognosisofcovid19usinglcmsanalysis AT saitoyoshiro characterizationofserotoninasacandidatebiomarkerofseverityandprognosisofcovid19usinglcmsanalysis AT hasegawachihiro characterizationofserotoninasacandidatebiomarkerofseverityandprognosisofcovid19usinglcmsanalysis |