Evidence map›Paper›PMID 36875344›Full record

ArticleMethodsX2023

A high performance liquid chromatography tandem mass spectrometry protocol for detection of neurotransmitters in the rat brain tissue.

Di Dai, Qian Qin, Xinyu Zhu, Qiuyuan Fang, Xianzong Meng, Lin Bai, Guang Yang, Ling Shan, Chunqing Liu

Open access · goldAbstract read
In one paragraph

Article in MethodsX, 2023. 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
1.6field-weighted citation impact, top 18% 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

1 citing paper in PubMed, 11 citations in OpenAlex.

  1. Article
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 at 2 institutions in 2 countries.

Di DaiTechnology Centre of Dalian Customs District P.R. China.
Qian QinCollege of Medical Laboratory, Dalian Medical University, Dalian, Liaoning 116044, China.
Xinyu ZhuCollege of Medical Laboratory, Dalian Medical University, Dalian, Liaoning 116044, China.
Qiuyuan FangCollege of Medical Laboratory, Dalian Medical University, Dalian, Liaoning 116044, China.
Xianzong MengCollege of Medical Laboratory, Dalian Medical University, Dalian, Liaoning 116044, China.
Lin BaiThe First Affiliated Hospital of Dalian Medical University, China, Dalian, Liaoning 116011, China.
Guang YangCollege of Medical Laboratory, Dalian Medical University, Dalian, Liaoning 116044, China.
Ling ShanDept. Neuropsychiatric Disorders, Netherlands Institute for Neuroscience, an Institute of the Royal Netherlands Academy of Arts and Sciences, Meibergdreef 47 1105BA Amsterdam, the Netherlands.
Chunqing LiuCollege of Medical Laboratory, Dalian Medical University, Dalian, Liaoning 116044, China.
Dalian Medical University · CNNetherlands Institute for Neuroscience · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The detection of neurotransmitters has extensively been applied to the study of the pathogenesis, diagnosis, and therapeutic effect of drugs on many neuropsychiatric diseases. High-performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS) has been employed to determine neurotransmitters levels due to its distinct advantages. However, neurotransmitter detection still presents some challenges. A rapid and sensitive HPLC-MS/MS protocol has been established in our lab, which can simultaneously detect 5 neurotransmitters with an easy pretreatment procedure. The protocol provides demanded reference value for the lab using an Agilent HPLC-MS/MS system with a triple quadrupole analyzer.

Indexed as

Alzheimer's diseaseHippocampusHPLC-MS/MSNeurotransmitterParkinson's diseaseRatStriatum

Identifiers

PMID36875344
PMCPMC9978030
OpenAlexW4321377121

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.