Evidence map›Paper›PMID 32973531›Full record

ArticleFrontiers in pharmacology2020

High-Throughput Metabolomics Method for Discovering Metabolic Biomarkers and Pathways to Reveal Effects and Molecular Mechanism of Ethanol Extract From

Jun-Feng Zhao, Jian-Yu Xu, Yi-Er Xu, Shui-Lin Chen, Yan-Xing Guo, Quan-Yang Gao, Gui-Cai Sun

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 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 15% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. Pooled it
  2. A comprehensive narrative review ofJournal of pharmaceutical analysis · 2026
    Review
  3. Article
  4. Article
  5. Exploring the Potential Mechanisms of Action ofCombinatorial chemistry & high throughput screening · 2024
    Article
  6. Article
  7. Article
  8. 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

7 authors at 4 institutions in 1 country.

Jun-Feng ZhaoThe Manual Orthopaedics, Henan Province Luoyang Orthopedic Thraumatological Hospital (Henan Provincal Orthopedic Hospital), Luoyang, China.
Jian-Yu XuThe Tumor Hospital of Harbin Medical University, The Department of Radiation Oncology, The Affiliated Tumour Hospital of Harbin Medical University, Harbin, China.
Yi-Er XuThe Research & Development Center of Harbin Pharmaceutical Group, The Laboratory of Pharmacology Quality Inspection & Pilotscale Experiment Workshop, Harbin, China.
Shui-Lin ChenThe Department of Orthopaedics, The Fourth Hospital Attached to Nanchang University, Nanchang, China.
Yan-Xing GuoThe Manual Orthopaedics, Henan Province Luoyang Orthopedic Thraumatological Hospital (Henan Provincal Orthopedic Hospital), Luoyang, China.
Quan-Yang GaoThe Manual Orthopaedics, Henan Province Luoyang Orthopedic Thraumatological Hospital (Henan Provincal Orthopedic Hospital), Luoyang, China.
Gui-Cai SunThe First Affiliated Hospital of Nanchang University, Orthopaedics, Nanchang University, Nanchang, China.
Luoyang Orthopedic-Traumatological Hospital of Henan Province · CNFirst Affiliated Hospital of Nanchang University · CNNanchang University · CNThird Affiliated Hospital of Harbin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolomics is an effective strategy to explore the molecular mechanism of herbal medicine. Epimedium, a traditional Chinese herb from the Epimedium brevicornu Maxim., has a therapeutic effect on osteoporosis (OP), however the molecular mechanism of the anti-OP effect is uncle\ar. Therefore, we investigated the pharmacological effect and action mechanism of ethanol extract of epimedium (Ext-epi) onOP rat model. The serum of OP rats was analyzed utilized UPLC-Q-TOF/MS metabolomics, and the potential biomarkers were screened and identified using multivariate data analysis systems and network databases. To further appraise the influence of Ext-epi on biological markers and metabolic pathways, and reveal the potential mechanism of Ext-epi on OP treatment. The results showed that 46 potential biomarkers were screened out and after intervention with Ext-epi extracts solution, 16 potential biomarkers were significantly recalled. Further pathway experiments showed that key pathway analysis include sarachidonic acid metabolism, glycerolphospholipid metabolism as potential targets which is related with the efficacy of Ext-epi protect against OP. These results explain the correlation between metabolites and molecular mechanisms, which is of great significance for understanding the intervention of Ext-epi on OP. In short, based on UPLC-Q-TOF/MS metabolomics may provide effective strategies for understanding the pathogenesis of diseases and evaluating the intervention effect of natural products.

Indexed as

biomarkermetabolismmetabolomicsmolecular mechanismosteoporosispathway

Identifiers

PMID32973531
PMCPMC7481463
OpenAlexW3082972453

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.