Evidence map›Paper›PMID 32636435›Full record

ArticleScientific reports2020

Toxicology of tramadol following chronic exposure based on metabolomics of the cerebrum in mice.

Wei Xia, Guojie Liu, Ziyi Shao, Enyu Xu, Huiya Yuan, Junting Liu, Lina Gao

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

16 citing papers in PubMed, 31 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Biochemical and Histopathological Alterations Induced by Tramadol.Medical journal of the Islamic Republic of Iran · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Graphene-Based Electrochemical Sensors for Psychoactive Drugs.Nanomaterials (Basel, Switzerland) · 2022
    Review
  12. Article
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  15. Article
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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

7 authors at 1 institution in 1 country.

Wei Xia *School of Forensic Medicine, China Medical University, No. 77 Puhe Road, Shenbei New District, Shenyang, 110014, China.
Guojie Liu *School of Fundamental Sciences, China Medical University, Shenyang, 110014, China.
Ziyi ShaoSchool of Forensic Medicine, China Medical University, No. 77 Puhe Road, Shenbei New District, Shenyang, 110014, China.
Enyu XuSchool of Forensic Medicine, China Medical University, No. 77 Puhe Road, Shenbei New District, Shenyang, 110014, China.
Huiya YuanSchool of Forensic Medicine, China Medical University, No. 77 Puhe Road, Shenbei New District, Shenyang, 110014, China.
Junting LiuSchool of Forensic Medicine, China Medical University, No. 77 Puhe Road, Shenbei New District, Shenyang, 110014, China.
Lina GaoSchool of Forensic Medicine, China Medical University, No. 77 Puhe Road, Shenbei New District, Shenyang, 110014, China. gaolina0114@sina.com.
China Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tramadol is an opioid used as an analgesic for treating moderate or severe pain. The long-term use of tramadol can induce several adverse effects. The toxicological mechanism of tramadol abuse is unclear. Metabolomics is a very useful method for investigating the toxicology of drug abuse. We investigated the impact of chronic tramadol administration on the cerebrum of mice, focusing on the metabolites after tramadol administration. The mice received 20 or 50 mg/kg body weight tramadol dissolved in physiological saline daily for 5 weeks via oral gavage. Compared with the control group, the low dose tramadol group showed seven potential biomarkers, including gamma-hydroxybutyric acid, succinate semialdehyde, and methylmalonic acid, which were either up- or down-regulated. Compared with the control group, the high dose tramadol group showed ten potential biomarkers, including gamma-hydroxybutyric acid, glutamine, and O-phosphorylethanolamine, which were either up- or down-regulated. The up-regulated gamma-hydroxybutyric acid and the down-regulated succinate semialdehyde revealed that the neurotransmitter system was disrupted after tramadol abuse. Compared with the low dose tramadol group, there were twenty-nine potential biomarkers in the high dose tramadol group, mainly related to the pentose phosphate pathway and glycerophospholipid metabolism. In conclusion, metabolomics in the tramadol abuse group demonstrated that long-term tramadol abuse can result in oxidative damage, inflammation, and disruption of the GABA neurotransmitter system, which will help to elucidate the toxicology of tramadol abuse.

Indexed as

Analgesics, OpioidAnimalsBiomarkersCerebrumMaleMalondialdehydeMetabolomicsMiceSuperoxide DismutaseTramadolAnalgesics, OpioidBiomarkersMalondialdehydeSuperoxide DismutaseTramadol

Identifiers

PMID32636435
PMCPMC7341866
OpenAlexW3039966873

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.