Evidence map›Paper›PMID 38803917›Full record

ArticleHeliyon2024

Combining metabolomics and transcriptomics to reveal the potential medicinal value of rare species

Bin Ma, Siru Wang, Haonan Li, Qinyue Wang, Yaqi Hong, Yang-Mei Bao, Hua Liu, Ming Li, Yucheng Zhao, Lan-Ping Guo

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. International journal of molecular sciences · 2026
    Article
  2. Article
  3. Active Components ofAntioxidants (Basel, Switzerland) · 2026
    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

10 authors.

Bin MaInstitute of Forestry and Grassland Ecology, Ningxia Academy of Agricultural and Forestry Sciences, Yinchuan, 75000, China.
Siru WangDepartment of Resources Science of Traditional Chinese Medicines, School of Traditional Chinese Pharmacy, China Pharmaceutical University, Nanjing, 211198, China.
Haonan LiDepartment of Resources Science of Traditional Chinese Medicines, School of Traditional Chinese Pharmacy, China Pharmaceutical University, Nanjing, 211198, China.
Qinyue WangDepartment of Resources Science of Traditional Chinese Medicines, School of Traditional Chinese Pharmacy, China Pharmaceutical University, Nanjing, 211198, China.
Yaqi HongDepartment of Resources Science of Traditional Chinese Medicines, School of Traditional Chinese Pharmacy, China Pharmaceutical University, Nanjing, 211198, China.
Yang-Mei BaoSchool of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, China.
Hua LiuInstitute of Forestry and Grassland Ecology, Ningxia Academy of Agricultural and Forestry Sciences, Yinchuan, 75000, China.
Ming LiInstitute of Forestry and Grassland Ecology, Ningxia Academy of Agricultural and Forestry Sciences, Yinchuan, 75000, China.
Yucheng ZhaoDepartment of Resources Science of Traditional Chinese Medicines, School of Traditional Chinese Pharmacy, China Pharmaceutical University, Nanjing, 211198, China.
Lan-Ping GuoState Key Laboratory for Quality Ensurance and Sustainable Use of Dao-di Herbs, National Resource Center for Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, 100700, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Licorice is a well-known Chinese medicinal plant that is widely used to treat multiple diseases and process food; however, wild licorice is now facing depletion. Therefore, there is an urgent need to identify and protect licorice germplasm diversity. In this study, metabolomic and transcriptomic analyses were conducted to investigate the biodiversity and potential medicinal value of the rare wild

Indexed as

Flavonoid biosynthesisGlycyrrhiza squamuloseIsoflavonoid biosynthesisMetabolomics analysisTranscriptomics analysis

Identifiers

PMID38803917
PMCPMC11128877

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.