Evidence map›Paper›PMID 33833781›Full record

ArticleFrontiers in genetics2021

The Potential Regulatory Network of Glutamate Metabolic Pathway Disturbance in Chinese Han Withdrawal Methamphetamine Abusers.

Sufang Peng, Hang Su, Tianzhen Chen, Xiaotong Li, Jiang Du, Haifeng Jiang, Min Zhao

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.3field-weighted citation impact, top 45% 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

0 citing papers in PubMed, 5 citations in OpenAlex.

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

7 authors at 3 institutions in 1 country.

Sufang PengShanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Hang SuShanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Tianzhen ChenShanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Xiaotong LiShanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Jiang DuShanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Haifeng JiangShanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Min ZhaoShanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Shanghai Mental Health Center · CNShanghai Jiao Tong University · CNChinese Academy of Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectsTo explore the long-term influence of methamphetamine abuse on metabolomics character, with gas chromatography-mass spectrometry (GS-MS) technology, and the potential regulatory network using the bioinformatics method.

methodsForty withdrawal methamphetamine abusers (WMA) were recruited from Shanghai Gaojing Forced Isolation Detoxification Institute. Forty healthy controls (HC) were recruited from society. GS-MS technology was used to detect metabolic products in serum. A bioinformatics method was used to build a regulatory network. Q-PCR was used to detect the candidate gene expressions, and ELISA was used to detect the regulatory enzyme expressions.

resultsFour pathways were significantly changed in the MA compared to the HC: (1) the arginine synthesis pathway, (2) alanine, aspartic acid and glutamate metabolic pathway, (3) cysteine and methionine metabolic pathway, and (4) the ascorbate and aldarate pathway (enrichment analysis

conclusionMethamphetamine abuse influences the metabolic process in the long term, and

Indexed as

bioinformaticsglutamate metabolic pathwaymetabolomicsmethamphetamine abuseregulatory network

Identifiers

PMID33833781
PMCPMC8021790
OpenAlexW3137903860

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.