Evidence map›Paper›PMID 40879926›Full record

ArticleBulletin of experimental biology and medicine2025

Analysis of Serum Serotonin by High-Performance Liquid Chromatography-Tandem Mass Spectrometry Using Online Solid-Phase Extraction.

D V Bychenkov, V A Ioutsi, I V Kirilina, M V Ovcharov, M A Antsupova, A K Lubenskaya, L K Abdullaev, S A Pantsernaya, N G Mokrysheva

Abstract read
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In one paragraph

Article in Bulletin of experimental biology and medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

D V BychenkovNational Medical Research Center for Endocrinology, Ministry of Health of the Russian Federation, Moscow, Russia. bychenkov.denis@endocrincentr.ru.
V A IoutsiNational Medical Research Center for Endocrinology, Ministry of Health of the Russian Federation, Moscow, Russia.
I V KirilinaNational Medical Research Center for Endocrinology, Ministry of Health of the Russian Federation, Moscow, Russia.
M V OvcharovNational Medical Research Center for Endocrinology, Ministry of Health of the Russian Federation, Moscow, Russia.
M A AntsupovaNational Medical Research Center for Endocrinology, Ministry of Health of the Russian Federation, Moscow, Russia.
A K LubenskayaNational Medical Research Center for Endocrinology, Ministry of Health of the Russian Federation, Moscow, Russia.
L K AbdullaevNational Medical Research Center for Endocrinology, Ministry of Health of the Russian Federation, Moscow, Russia.
S A PantsernayaNational Medical Research Center for Endocrinology, Ministry of Health of the Russian Federation, Moscow, Russia.
N G MokryshevaNational Medical Research Center for Endocrinology, Ministry of Health of the Russian Federation, Moscow, Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We propose a method for the quantitative determination of serotonin in blood serum using high-performance liquid chromatography with tandem mass spectrometry detection (HPLC-MS/MS) and online solid-phase extraction in a chromatographic system. This approach allows serotonin quantification in blood serum within a range of 0.5-2000 ng/ml, partially automates the sample preparation process, and minimizes the influence of matrix components. The method is designed for the quantitative measurement of serotonin levels in patients with various deviations of serotonin levels and associated diseases.

Indexed as

SerotoninSolid Phase ExtractionTandem Mass SpectrometryChromatography, High Pressure LiquidHumansSerotoninhigh-performance liquid chromatographyonline solid-phase extractionquantitative analysisserotonintandem mass spectrometry

Identifiers

PMID40879926

What OpenQuestion holds

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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.