Evidence map›Paper›PMID 24454691›Full record

ArticlePloS one2014

Metabolomics coupled with multivariate data and pathway analysis on potential biomarkers in gastric ulcer and intervention effects of Corydalis yanhusuo alkaloid.

Li Tianjiao, Wang Shuai, Meng Xiansheng, Bao Yongrui, Guan Shanshan, Liu Bo, Chen Lu, Wang Lei, Ran Xiaorong

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

10 citing papers in PubMed, 36 citations in OpenAlex.

  1. Down-regulation of TP53 is a highlighted molecular event in gastric ulcer.Gastroenterology and hepatology from bed to bench · 2022
    Article
  2. Frontiers in pharmacology · 2021
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. LC-MS-based metabolomics: an update.Archives of toxicology · 2014
    Review
  10. 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

9 authors at 1 institution in 1 country.

Li TianjiaoLiaoning University of Traditional Chinese Medicine, Dalian, P. R. China.
Wang ShuaiLiaoning University of Traditional Chinese Medicine, Dalian, P. R. China ; Liaoning University of Traditional Chinese Medicine-Agilent Technologies Modern TCM and Multi-omics Research Collaboration Lab, Dalian, P. R. China.
Meng XianshengLiaoning University of Traditional Chinese Medicine, Dalian, P. R. China ; Liaoning University of Traditional Chinese Medicine-Agilent Technologies Modern TCM and Multi-omics Research Collaboration Lab, Dalian, P. R. China.
Bao YongruiLiaoning University of Traditional Chinese Medicine, Dalian, P. R. China.
Guan ShanshanLiaoning University of Traditional Chinese Medicine, Dalian, P. R. China.
Liu BoLiaoning University of Traditional Chinese Medicine, Dalian, P. R. China.
Chen LuLiaoning University of Traditional Chinese Medicine, Dalian, P. R. China.
Wang LeiAgilent Technologies Co, Ltd., Beijing, P. R. China ; Liaoning University of Traditional Chinese Medicine-Agilent Technologies Modern TCM and Multi-omics Research Collaboration Lab, Dalian, P. R. China.
Ran XiaorongAgilent Technologies Co, Ltd., Beijing, P. R. China ; Liaoning University of Traditional Chinese Medicine-Agilent Technologies Modern TCM and Multi-omics Research Collaboration Lab, Dalian, P. R. China.
Liaoning University of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolomics, the systematic analysis of potential metabolites in a biological specimen, has been increasingly applied to discovering biomarkers, identifying perturbed pathways, measuring therapeutic targets, and discovering new drugs. By analyzing and verifying the significant difference in metabolic profiles and changes of metabolite biomarkers, metabolomics enables us to better understand substance metabolic pathways which can clarify the mechanism of Traditional Chinese Medicines (TCM). Corydalis yanhusuo alkaloid (CA) is a major component of Qizhiweitong (QZWT) prescription which has been used for treating gastric ulcer for centuries and its mechanism remains unclear completely. Metabolite profiling was performed by high-performance liquid chromatography combined with time-of-flight mass spectrometry (HPLC/ESI-TOF-MS) and in conjunction with multivariate data analysis and pathway analysis. The statistic software Mass Profiller Prossional (MPP) and statistic method including ANOVA and principal component analysis (PCA) were used for discovering novel potential biomarkers to clarify mechanism of CA in treating acid injected rats with gastric ulcer. The changes in metabolic profiling were restored to their base-line values after CA treatment according to the PCA score plots. Ten different potential biomarkers and seven key metabolic pathways contributing to the treatment of gastric ulcer were discovered and identified. Among the pathways, sphingophospholipid metabolism and fatty acid metabolism related network were acutely perturbed. Quantitative real time polymerase chain reaction (RT-PCR) analysis were performed to evaluate the expression of genes related to the two pathways for verifying the above results. The results show that changed biomarkers and pathways may provide evidence to insight into drug action mechanisms and enable us to increase research productivity toward metabolomics drug discovery.

Indexed as

MetabolomicsAcetic AcidAlkaloidsAnimalsBase SequenceBiomarkersChromatography, High Pressure LiquidCorydalisDNA PrimersMaleMass SpectrometryMultivariate AnalysisRatsRats, Sprague-DawleyStomach UlcerAcetic AcidAlkaloidsBiomarkersDNA Primers

Identifiers

PMID24454691
PMCPMC3893072
OpenAlexW1992443804

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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.