Evidence map›Paper›PMID 36120310›Full record

ArticleFrontiers in pharmacology2022

Study on the mechanism of American ginseng extract for treating type 2 diabetes mellitus based on metabolomics.

Tiantian Liu, Dan Wang, Xinfeng Zhou, Jiayin Song, Zijun Yang, Chang Shi, Rongshan Li, Yanwen Zhang, Jun Zhang, Jiuxing Yan and 7 more

Abstract read
In one paragraph

Article in Frontiers in pharmacology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Study on the Mechanism ofBiomolecules · 2026
    Article
  5. Review
  6. Article
  7. Review
  8. Metabolomics Revealed the Effects ofFoods (Basel, Switzerland) · 2024
    Article
  9. Article
  10. Article
  11. Article
  12. 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

17 authors.

Tiantian LiuSchool of Pharmacy, Tianjin Medical University, Tianjin, China.
Dan WangSchool of Pharmacy, Tianjin Medical University, Tianjin, China.
Xinfeng ZhouSchool of Pharmacy, Tianjin Medical University, Tianjin, China.
Jiayin SongSchool of Pharmacy, Tianjin Medical University, Tianjin, China.
Zijun YangSchool of Pharmacy, Tianjin Medical University, Tianjin, China.
Chang ShiSchool of Pharmacy, Tianjin Medical University, Tianjin, China.
Rongshan LiSchool of Pharmacy, Tianjin Medical University, Tianjin, China.
Yanwen ZhangSchool of Pharmacy, Tianjin Medical University, Tianjin, China.
Jun ZhangSchool of Pharmacy, Tianjin Medical University, Tianjin, China.
Jiuxing YanSchool of Pharmacy, Tianjin Medical University, Tianjin, China.
Xuehui ZhuSchool of Pharmacy, Tianjin Medical University, Tianjin, China.
Ying LiTianjin Neurological Institute, Tianjin Medical University, Tianjin, China.
Min GongSchool of Pharmacy, Tianjin Medical University, Tianjin, China.
Chongzhi WangTang Center for Herbal Medicine Research, University of Chicago, Chicago, IL, United States.
Chunsu YuanTang Center for Herbal Medicine Research, University of Chicago, Chicago, IL, United States.
Yan CuiDepartment of Pathogen Biology, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China.
Xiaohui WuSchool of Pharmacy, Tianjin Medical University, Tianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

American ginseng extract (AGE) is an efficient and low-toxic adjuvant for type 2 diabetes mellitus (T2DM). However, the metabolic mechanisms of AGE against T2DM remain unknown. In this study, a rat model of T2DM was created and administered for 28 days. Their biological (body weight and serum biochemical indicators) and pathological (pancreatic sections stained with HE) information were collected for further pharmacodynamic evaluation. Moreover, an ultra-performance liquid chromatography-mass spectrometry-based (UHPLC-MS/MS-based) untargeted metabolomics method was used to identify potential biomarkers of serum samples from all rats and related metabolic pathways. The results indicated that body weight, fasting blood glucose (FBG), fasting blood insulin (FINS), blood triglyceride concentration (TG), high-density lipoprotein cholesterol (HDL-C), insulin resistance index (HOMA-IR) and insulin sensitivity index (ISI), and impaired islet cells were significantly improved after the high dose of AGE (H_AGE) and metformin treatment. Metabolomics analysis identified 101 potential biomarkers among which 94 metabolites had an obvious callback. These potential biomarkers were mainly enriched in nine metabolic pathways linked to amino acid metabolism and lipid metabolism. Tryptophan metabolism and glutathione metabolism, as differential metabolic pathways between AGE and metformin for treating T2DM, were further explored. Further analysis of the aforementioned results suggested that the anti-T2DM effect of AGE was closely associated with inflammation, oxidative stress, endothelial dysfunction, dyslipidemia, immune response, insulin resistance, insulin secretion, and T2DM-related complications. This study can provide powerful support for the systematic exploration of the mechanism of AGE against T2DM and a basis for the clinical diagnosis of T2DM.

Indexed as

American ginseng extractmetabolic pathwaysmetabolomicspotential biomarkerstype 2 diabetes mellitus

Identifiers

PMID36120310
PMCPMC9479495

What OpenQuestion holds

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LicenceCC BY
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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.