Evidence map›Paper›PMID 39075220›Full record

ArticleScientific reports2024

Analysis of metabolic spectrum characteristics of naturally and cultivated Ophiocordyceps sinensis based on non-targeted metabolomics.

Tao Wang, Chuyu Tang, Mengjun Xiao, Zhengfei Cao, Hui He, Min He, Yuling Li, Xiuzhang Li

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Discovery of functional compounds from dimorphic edibleSynthetic and systems biotechnology · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. 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

8 authors.

Tao WangState Key Laboratory of Plateau Ecology and Agriculture, Qinghai Academy of Animal Science and Veterinary Medicine, Qinghai University, Xining, 810016, China.
Chuyu TangState Key Laboratory of Plateau Ecology and Agriculture, Qinghai Academy of Animal Science and Veterinary Medicine, Qinghai University, Xining, 810016, China.
Mengjun XiaoState Key Laboratory of Plateau Ecology and Agriculture, Qinghai Academy of Animal Science and Veterinary Medicine, Qinghai University, Xining, 810016, China.
Zhengfei CaoState Key Laboratory of Plateau Ecology and Agriculture, Qinghai Academy of Animal Science and Veterinary Medicine, Qinghai University, Xining, 810016, China.
Hui HeState Key Laboratory of Plateau Ecology and Agriculture, Qinghai Academy of Animal Science and Veterinary Medicine, Qinghai University, Xining, 810016, China.
Min HeState Key Laboratory of Plateau Ecology and Agriculture, Qinghai Academy of Animal Science and Veterinary Medicine, Qinghai University, Xining, 810016, China.
Yuling LiQinghai Academy of Animal and Veterinary Science, Xining, 810016, China. yulingli2000@163.com.
Xiuzhang LiState Key Laboratory of Plateau Ecology and Agriculture, Qinghai Academy of Animal Science and Veterinary Medicine, Qinghai University, Xining, 810016, China. xiuzhang11@163.com.

Funding

the Chinese Academy of Sciences - People's Government of Qinghai Province on Sanjiangyuan National Park LHZX-2022-01The major science and technology projects of Qinghai Province 2021-SF-A4
6 · The paper itself

Abstract

The analysis of the differences in metabolic profiles between naturally Ophiocordyceps sinensis (NO) and cultivated Ophiocordyceps sinensis (CO) is an essential process for the medicinal value mining of Ophiocordyceps sinensis. Non-targeted metabolomics was used to compare the differences in metabolite composition and abundance between NO and CO. Total metabolite composition found that NO is rich in organic acids and derivatives, and CO is rich in lipids and lipid-like molecules. HCA found that organooxygen compounds, cinchona alkaloid, and fatty acyls had different abundances in NO and CO. The variable importance in projection value and quantitative analysis of metabolites found that NO was rich in l-iditol, malate, linoleic acid, and oleic acid; CO is rich in sucrose, perseitol, hydroquinidine, nonanoic acid, 1-hydroxy-2-naphthoic acid, hymol-β-d-glucoside, and gly-his-lys. these compounds have the potential to be biomarkers of NO and CO. KEGG enrichment analysis showed that ascorbate and aldarate metabolism, carbon metabolism, pyrimidine metabolism, and fatty acid biosynthesis were the most different metabolic pathways between NO and CO. Therefore, the analysis of the characteristics of NO and CO metabolites has reference value for finding their different medicinal functions.

Indexed as

MetabolomicsHypocrealesMetabolic Networks and PathwaysMetabolome

Identifiers

PMID39075220
PMCPMC11286869

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.