Evidence map›Paper›PMID 39104367›Full record

ArticleToxicology reports2024

Elucidating of the metabolic impact of risperidone on brain microvascular endothelial cells using untargeted metabolomics-based LC-MS.

Surachai Ngamratanapaiboon, Napatarin Srikornvit, Patipol Hongthawonsiri, Krittaboon Pornchokchai, Siriphattarinya Wongpitoonmanachai, Jiajun Mo, Petchlada Pholkla, Pracha Yambangyang, Phichanan Duchda, Jenyuk Lohwacharin and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Toxicology reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Review
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

11 authors.

Surachai NgamratanapaiboonDivision of Pharmacology, Department of Basic Medical Sciences, Faculty of Medicine Vajira Hospital, Navamindradhiraj University, Dusit, Bangkok 10300, Thailand.
Napatarin SrikornvitMedical Student in Doctor of Medicine Programme, Faculty of Medicine Vajira Hospital, Navamindradhiraj University, Dusit, Bangkok 10300, Thailand.
Patipol HongthawonsiriMedical Student in Doctor of Medicine Programme, Faculty of Medicine Vajira Hospital, Navamindradhiraj University, Dusit, Bangkok 10300, Thailand.
Krittaboon PornchokchaiMedical Student in Doctor of Medicine Programme, Faculty of Medicine Vajira Hospital, Navamindradhiraj University, Dusit, Bangkok 10300, Thailand.
Siriphattarinya WongpitoonmanachaiMedical Student in Doctor of Medicine Programme, Faculty of Medicine Vajira Hospital, Navamindradhiraj University, Dusit, Bangkok 10300, Thailand.
Jiajun MoMedical Student in Doctor of Medicine Programme, Faculty of Medicine Vajira Hospital, Navamindradhiraj University, Dusit, Bangkok 10300, Thailand.
Petchlada PholklaMedical Student in Doctor of Medicine Programme, Faculty of Medicine Vajira Hospital, Navamindradhiraj University, Dusit, Bangkok 10300, Thailand.
Pracha YambangyangDepartment of Biomedical Engineering, Faculty of Engineering, Mahidol University, Salaya, Nakhon Pathom 73170, Thailand.
Phichanan DuchdaDepartment of Environmental Engineering, Faculty of Engineering, Chulalongkorn University, Pathumwan, Bangkok 10330, Thailand.
Jenyuk LohwacharinDepartment of Environmental Engineering, Faculty of Engineering, Chulalongkorn University, Pathumwan, Bangkok 10330, Thailand.
Watcharaporn Devakul Na AyutthayaDivision of Pharmacology, Department of Basic Medical Sciences, Faculty of Medicine Vajira Hospital, Navamindradhiraj University, Dusit, Bangkok 10300, Thailand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Risperidone is useful for the treatment of schizophrenia symptoms; however, it also has side effects, and an overdose can be harmful. The metabolic effects of risperidone at high therapeutic doses and its metabolites have not been elucidated. Endogenous cellular metabolites may be comprehensively analyzed using untargeted metabolomics-based liquid chromatography-mass spectrometry (LC-MS), which can reveal changes in cell regulation and metabolic pathways. By identifying the metabolites and pathway changes using a nontargeted metabolomics-based LC-MS approach, we aimed to shed light on the potential toxicological effects of high-dose risperidone on brain microvascular endothelial cells (MVECs) associated with the human blood brain barrier. A total of 42 metabolites were selected as significant putative metabolites of the toxicological response of high-dose risperidone in MVECs. Six highly correlated pathways were identified, including those involving diacylglycerol, fatty acid, ceramide, glycerophospholipid, amino acid, and tricarboxylic acid metabolism. We demonstrated that methods focused on metabolomics are useful for identifying metabolites that may be used to clarify the mechanism of drug-induced toxicity.

Indexed as

Brain microvascular endothelial cellsLiquid chromatography-mass spectrometryRisperidoneUntargeted metabolomics

Identifiers

PMID39104367
PMCPMC11299597

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Registered trials

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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.