Evidence map›Paper›PMID 36422896›Full record

ArticleToxics2022

Evaluating Different Extraction Approaches for GC-MS Based Metabolomics Analysis of the Giant Pandas' Fur.

Yang Yang, Yanqiang Yin, Xianglan Tang, Yinyin Xia, Jinya Zhang, Chun Yan, Weixuan Zhang, Hua Zhang, Ting-Li Han

Open access · goldAbstract read
In one paragraph

Article in Toxics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 51% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Hair Metabolomic Profiling of Diseased Forest Musk Deer (Animals : an open access journal from MDPI · 2025
    Article
  2. 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 5 institutions in 1 country.

Yang YangDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China.
Yanqiang YinChongqing Zoo, Chongqing 400050, China.
Xianglan TangDepartment of Obstetrics and Gynecology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing 400010, China.
Yinyin XiaSchool of Public Health and Management, Chongqing Medical University, Chongqing 400000, China.
Jinya ZhangSchool of Clinical Medicine, Chongqing Medical University, Chongqing 400000, China.
Chun YanSchool of Clinical Medicine, Chongqing Medical University, Chongqing 400000, China.
Weixuan ZhangSchool of Clinical Medicine, Chongqing Medical University, Chongqing 400000, China.
Hua ZhangDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China.ORCID 0000-0003-3501-8385
Ting-Li HanMinistry of Education of China International Collaborative Joint Laboratory of Reproduction and Development, Chongqing Medical University, Chongqing 400000, China.
Chongqing Medical University · CNDalian Medical University · CNThe Affiliated Yongchuan Hospital of Chongqing Medical University · CNChongqing Academy of Animal Science · CNChongqing Public Health Medical Center · CN

Funding

Senior Medical Talents Program of Chongqing for Young and Middle-aged [2022]15
6 · The paper itself

Abstract

Giant pandas in zoo captivity are situated in residential areas, where environmental pollutants and anthropogenic factors have an impact on their health. Hair metabolomics has been applied in numerous environmental toxicological studies. Therefore, the panda fur metabolome could be a reliable approach to reflect endogenous and exogenous metabolic changes related to environmental exposure. However, there is no established extraction protocol to study the fur metabolome of pandas. The aim of this research was to optimize the extraction of panda fur metabolome for high-throughput metabolomics analysis using gas chromatography-mass spectrometry. Fur samples were collected from five pandas. Eight different extraction methods were investigated and evaluated for their reproducibility, metabolite coverage, and extraction efficiency, particularly in relation to the biochemical compound classes such as amino acids, tricarboxylic acid cycle derivatives, fatty acids, and secondary metabolites. Our results demonstrated that HCl + ACN were the superior extraction solvents for amino acid and secondary metabolite extraction, and NaOH + MeOH was ideal for fatty acid extraction. Interestingly, the metabolomic analysis of panda fur was capable of discriminating the longitudinal metabolite profile between black and white furs. These extraction protocols can be used in future study protocols for the analysis of the fur metabolome in pandas.

Indexed as

endogenous and exogenous metabolomeextraction methodGC-MSgiant pandas

Identifiers

PMID36422896
PMCPMC9696619
OpenAlexW4309214385

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.