Evidence map›Paper›PMID 36055751›Full record

ArticleJournal of pharmacological sciences2022

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

Kosuke Saito, Rika Ishikawa, Isao Kitamura, Kumiko Ogawa, Noriaki Arakawa, Yuchen Sun, Kazuo Imai, Takuya Maeda, Yoshiro Saito, Chihiro Hasegawa

Open access · goldAbstract read
In one paragraph

Article in Journal of pharmacological sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.5field-weighted citation impact, top 47% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
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  3. 5-HTJournal of advanced research · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 5 institutions in 1 country.

Kosuke SaitoDivision of Medical Safety Science, National Institute of Health Sciences, Kanagawa, Japan.
Rika IshikawaDivision of Medical Safety Science, National Institute of Health Sciences, Kanagawa, Japan.
Isao KitamuraDepartment of Clinical Laboratory, Nagoya City University East Medical Centre, Nagoya, Japan.
Kumiko OgawaDivision of Pathology, National Institute of Health Sciences, Kanagawa, Japan.
Noriaki ArakawaDivision of Medical Safety Science, National Institute of Health Sciences, Kanagawa, Japan.
Yuchen SunDivision of Medical Safety Science, National Institute of Health Sciences, Kanagawa, Japan.
Kazuo ImaiDepartment of Internal Medicine, Self-Defense Forces Central Hospital, Tokyo, Japan; Department of Infectious Disease and Infection Control, Saitama Medical University, Saitama, Japan.
Takuya MaedaDepartment of Infectious Disease and Infection Control, Saitama Medical University, Saitama, Japan.
Yoshiro SaitoDivision of Medical Safety Science, National Institute of Health Sciences, Kanagawa, Japan. Electronic address: yoshiro@nihs.go.jp.
Chihiro HasegawaDepartment of Infectious Diseases, Nagoya City University East Medical Centre, Nagoya, Japan.
National Institute of Health Sciences · JPNagoya City University · JPNational Institute of Occupational Safety and Health · JPSaitama Medical University · JPSelf-Defense Forces Central Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

COVID-19KynurenineBiomarkersChromatography, LiquidHumansMass SpectrometryPrognosisSerotoninTryptophanBiomarkersKynurenineSerotoninTryptophanBiomarkerCOVID-19Disease severityPrognosisSerotonin

Identifiers

PMID36055751
PMCPMC9339153
OpenAlexW4288988225

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.