Evidence map›Paper›PMID 36762198›Full record

ReviewFrontiers in chemistry2023

Innovation in identifying metabolites from complex metabolome-Highlights of recent analytical platforms and protocols.

Shi Qiu, Sifan Guo, Qiang Yang, Yiqiang Xie, Songqi Tang, Aihua Zhang

Abstract readReview
In one paragraph

Review in Frontiers in chemistry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Metabolomic Analysis of the Effect ofAntibiotics (Basel, Switzerland) · 2023
    Article
  6. Review
  7. Cellulose andFrontiers in microbiology · 2023
    Article
  8. Review
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

6 authors.

Shi QiuInternational Advanced Functional Omics Platform, Scientific Experiment Center, Hainan Medical University, Haikou, China.
Sifan GuoGraduate School, Heilongjiang University of Chinese Medicine, Harbin, China.
Qiang YangGraduate School, Heilongjiang University of Chinese Medicine, Harbin, China.
Yiqiang XieInternational Advanced Functional Omics Platform, Scientific Experiment Center, Hainan Medical University, Haikou, China.
Songqi TangInternational Advanced Functional Omics Platform, Scientific Experiment Center, Hainan Medical University, Haikou, China.
Aihua ZhangInternational Advanced Functional Omics Platform, Scientific Experiment Center, Hainan Medical University, Haikou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolites are closely intertwined genotypes that can provide clear information about the final phenotype. The high-throughput analysis platform used to identify candidate metabolites and describe their contributions can help to quickly detect metabolic characteristics from large spectral data, which may lead to peak data preprocessing, statistical analysis and functional interpretation. Developing a comprehensive strategy for discovering and verifying bioactive metabolites can provide a large number of new functional biomarkers, and then more closely reveal their functional changes, which has relevant biological significance for disease diagnosis and prognosis treatment.

Indexed as

diagnosisfunctional biomarkersmetabolic pathwaymetabolitesmetabolomics

Identifiers

PMID36762198
PMCPMC9905695

What OpenQuestion holds

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LicenceCC BY
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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.