Evidence map›Paper›PMID 32265710›Full record

ArticleFrontiers in pharmacology2020

Serum Metabolic Profiling Reveals the Antidepressive Effects of the Total Iridoids of

Yongbiao Li, Lanlan Wu, Chang Chen, Liwen Wang, Cong Guo, Xiaoqin Zhao, Tingting Zhao, Xinyi Wang, An Liu, Zhiyong Yan

Open access · goldAbstract read
In one paragraph

Article in Frontiers in pharmacology, 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
1.1field-weighted citation impact, top 28% 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.

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  11. The potential ofFrontiers in pharmacology · 2022
    Review
  12. Article
  13. Antidepressant effects of total iridoids ofPharmaceutical biology · 2021
    Article
  14. Review
  15. Safety of high-doseFood science & nutrition · 2021
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  16. The Combination ofFrontiers in pharmacology · 2020
    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

10 authors at 2 institutions in 1 country.

Yongbiao LiSchool of Life Science and Engineering, Southwest Jiao Tong University, Chengdu, China.
Lanlan WuSchool of Life Science and Engineering, Southwest Jiao Tong University, Chengdu, China.
Chang ChenInstitute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, China.
Liwen WangSchool of Life Science and Engineering, Southwest Jiao Tong University, Chengdu, China.
Cong GuoInstitute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, China.
Xiaoqin ZhaoSchool of Life Science and Engineering, Southwest Jiao Tong University, Chengdu, China.
Tingting ZhaoSchool of Life Science and Engineering, Southwest Jiao Tong University, Chengdu, China.
Xinyi WangInstitute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, China.
An LiuInstitute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, China.
Zhiyong YanSchool of Life Science and Engineering, Southwest Jiao Tong University, Chengdu, China.
Chinese Academy of Medical Sciences & Peking Union Medical College · CNSouthwest Jiaotong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDepression is a long-term complex psychiatric disorder, and its etiology remains largely unknown.

methodsHere, CUMS was used to establish a mouse model of depression. Behavioral and biochemical indicators were investigated to evaluate the pharmacodynamic effects. A comprehensive serum metabolomics study by nuclear magnetic resonance (NMR) approach was applied to investigate the pharmacological mechanism of IRFV in CUMS mouse. Subsequently, we used multivariate statistical analysis to identify metabolic markers, such as principal component analysis (PCA) and orthogonal projection to latent structure with discriminant analysis (OPLS-DA), to distinguish between the CUMS mouse and the control group.

resultsAfter IRFV treatment, the immobility time, sucrose preference, and monoamine neurotransmitter were improved. PCA scores showed clear differences in metabolism between the CUMS group and control group. The PLS-DA or OPLS-DA model exhibited 26 metabolites as biomarkers to distinguish between the CUMS mice and the control mouse. Moreover, IRFV could significantly return 21 metabolites to normal levels.

conclusionThe results confirmed that IRFV exerted an antidepressive effect by regulating multiple metabolic pathways, including the tricarboxylic acid cycle, the synthesis of neurotransmitters, and amino acid metabolism. These findings provide insights into the antidepressive mechanisms of IRFV.

Indexed as

1H NMRdepressioniridoidsmetabolomicsValeriana jatamansi Jones

Identifiers

PMID32265710
PMCPMC7099651
OpenAlexW3010710841

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.