Evidence map›Paper›PMID 32116775›Full record

ArticleFrontiers in physiology2020

Identification of Serum-Based Metabolic Feature and Characteristic Metabolites in Paraquat Intoxicated Mouse Models.

Youjia Yu, Zishan Gao, Jiaqian Lou, Zhengsheng Mao, Kai Li, Chunyan Chu, Li Hu, Zheng Li, Chuwei Deng, Hanting Fan and 6 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in physiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

11 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. 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

16 authors at 2 institutions in 1 country.

Youjia YuDepartment of Forensic Medicine, School of Basic Medical Science, Nanjing Medical University, Nanjing, China.
Zishan GaoClinical Acupuncture and Moxibustion Department, Second School of Clinical Medicine, Nanjing University of Chinese Medicine, Nanjing, China.
Jiaqian LouDepartment of Forensic Medicine, School of Basic Medical Science, Nanjing Medical University, Nanjing, China.
Zhengsheng MaoDepartment of Forensic Medicine, School of Basic Medical Science, Nanjing Medical University, Nanjing, China.
Kai LiDepartment of Forensic Medicine, School of Basic Medical Science, Nanjing Medical University, Nanjing, China.
Chunyan ChuDepartment of Forensic Medicine, School of Basic Medical Science, Nanjing Medical University, Nanjing, China.
Li HuDepartment of Forensic Medicine, School of Basic Medical Science, Nanjing Medical University, Nanjing, China.
Zheng LiDepartment of Forensic Medicine, School of Basic Medical Science, Nanjing Medical University, Nanjing, China.
Chuwei DengDepartment of Forensic Medicine, School of Basic Medical Science, Nanjing Medical University, Nanjing, China.
Hanting FanDepartment of Forensic Medicine, School of Basic Medical Science, Nanjing Medical University, Nanjing, China.
Peng ChenDepartment of Forensic Medicine, School of Basic Medical Science, Nanjing Medical University, Nanjing, China.
Huijie HuangDepartment of Forensic Medicine, School of Basic Medical Science, Nanjing Medical University, Nanjing, China.
Yanfang YuDepartment of Forensic Medicine, School of Basic Medical Science, Nanjing Medical University, Nanjing, China.
Jingjing DingDepartment of Forensic Medicine, School of Basic Medical Science, Nanjing Medical University, Nanjing, China.
Ding LiDepartment of Forensic Medicine, School of Basic Medical Science, Nanjing Medical University, Nanjing, China.
Feng ChenDepartment of Forensic Medicine, School of Basic Medical Science, Nanjing Medical University, Nanjing, China.
Nanjing Medical University · CNNanjing University of Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Paraquat (PQ) is a widely used herbicide which can cause high mortality to humans. However, relatively few studies focus on metabolic feature of PQ intoxication for investigating the underlying mechanisms. Here we performed non-targeted metabolomics profiling of serum samples from acute and chronic PQ intoxicated mouse models by gas chromatography time-of-flight mass spectrometry (GC-TOF/MS) to identify metabolic feature and characteristic metabolites of acute and chronic PQ intoxication. Results showed that 3-indolepropionic acid (IPA) and pathway of glycine, serine, and threonine metabolism were significantly altered after acute PQ intoxication; 2-hydroxybutyric acid and the ratio of L-serine/glycine were of significance between acute and chronic PQ intoxication. Then targeted metabolomics profiling was conducted by liquid chromatography-mass spectrometry (LC-MS) analysis to confirm the changes of IPA after acute PQ intoxication. Moreover, IPA-producing gut bacteria in feces were quantified by qRT-PCR to explain the varied IPA serum concentration.

Indexed as

2-hydroxybutyric acid3-indolepropionic acidintoxicationmetabolomicsparaquatthe ratio of L-serine/glycine

Identifiers

PMID32116775
PMCPMC7017841
OpenAlexW3005133278

What Socratic 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 Socratic graph.