Evidence map›Paper›PMID 35540062›Full record

ArticleRSC advances2019

Metabolomics profiling of methamphetamine addicted human serum and three rat brain areas.

Ming Lin, Jiamin Xu, Xi Liu, Zhenfeng Dai, Zhimin Liu, Xin Zhao, Yi Sun, Xiaoping Pu

Open access · goldAbstract read
In one paragraph

Article in RSC advances, 2019. 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 34% 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, 17 citations in OpenAlex.

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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

8 authors at 1 institution in 1 country.

Ming LinNational Key Research Laboratory of Natural and Biomimetic Drugs, Peking University Beijing 100191 China pxp123@bjmu.edu.cn +86 10 82802431 +86 10 82802431.ORCID https://orcid.org/0000-0001-5764-5123
Jiamin XuNational Key Research Laboratory of Natural and Biomimetic Drugs, Peking University Beijing 100191 China pxp123@bjmu.edu.cn +86 10 82802431 +86 10 82802431.
Xi LiuNational Key Research Laboratory of Natural and Biomimetic Drugs, Peking University Beijing 100191 China pxp123@bjmu.edu.cn +86 10 82802431 +86 10 82802431.
Zhenfeng DaiNational Key Research Laboratory of Natural and Biomimetic Drugs, Peking University Beijing 100191 China pxp123@bjmu.edu.cn +86 10 82802431 +86 10 82802431.
Zhimin LiuNational Institute on Drug Dependence, Peking University Beijing 100191 China.
Xin ZhaoNational Key Research Laboratory of Natural and Biomimetic Drugs, Peking University Beijing 100191 China pxp123@bjmu.edu.cn +86 10 82802431 +86 10 82802431.
Yi SunNational Key Research Laboratory of Natural and Biomimetic Drugs, Peking University Beijing 100191 China pxp123@bjmu.edu.cn +86 10 82802431 +86 10 82802431.
Xiaoping PuNational Key Research Laboratory of Natural and Biomimetic Drugs, Peking University Beijing 100191 China pxp123@bjmu.edu.cn +86 10 82802431 +86 10 82802431.
Peking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Methamphetamine (METH) has already been a serious problem all over the world. The identification of related biomarkers and pathways is helpful to evaluate the degree of METH addiction, develop appropriate treatment during abstinence, and explore the mechanism. Here, it is the first time to perform metabolomics profiling of METH addicted human serum and three regions of METH-induced conditioned place preference (CPP) rat brain by using UHPLC-MS/MS and matrix-assisted laser desorption/ionization-mass spectrometry imaging (MALDI-MSI), respectively. Untargeted metabolomics analysis demonstrated clear differences between METH abusers and the healthy control by finding 35 distinct expressed metabolites in serum, including 5 TCA intermediates, 17 amino acids and 13 other biomolecules, 15 of which were newly identified following METH exposure. By using MALDI-MSI, the relative quantification and distribution of 14 metabolites were investigated in the nucleus accumbens (NAc), dorsal hippocampus (dHPC) and ventral hippocampus (vHPC) of CPP rat brain. Taken together, METH addiction could influence energy metabolism, amino acids metabolism, and phospholipids metabolism. A multi-parameter model consisting of these related metabolites can be established as a METH addiction biomarker in the future. The mapping of phospholipids provided new insights into the mechanism of METH addiction. Notably, the trend of metabolite changes in NAc and dHPC was almost the same, while it was opposite between dHPC and vHPC. It seems that NAc and dHPC were the two regions more susceptible to METH administration in the brain. And dHPC and vHPC play different roles in METH addiction proved by metabolites mapping.

Identifiers

PMID35540062
PMCPMC9076436
OpenAlexW2995835512

What OpenQuestion holds

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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.