Evidence map›Paper›PMID 38465212›Full record

ReviewJournal of ginseng research2024

Sustainable production of natural products using synthetic biology: Ginsenosides.

So-Hee Son, Jin Kang, YuJin Shin, ChaeYoung Lee, Bong Hyun Sung, Ju Young Lee, Wonsik Lee

Abstract readReview
In one paragraph

Review in Journal of ginseng research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Review
  2. Review
  3. Ferulic andRSC advances · 2026
    Article
  4. Article
  5. Review
  6. Review
  7. Review
  8. Review
  9. Anti-Colorectal Cancer Activity ofInternational journal of molecular sciences · 2025
    Review
  10. Review
  11. 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

7 authors.

So-Hee SonResearch Center for Bio-Based Chemistry, Korea Research Institute of Chemical Technology (KRICT), Ulsan, Republic of Korea.
Jin KangSynthetic Biology Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, Republic of Korea.
YuJin ShinSchool of Pharmacy, Sungkyunkwan University, Suwon, Republic of Korea.
ChaeYoung LeeSchool of Pharmacy, Sungkyunkwan University, Suwon, Republic of Korea.
Bong Hyun SungSynthetic Biology Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, Republic of Korea.
Ju Young LeeResearch Center for Bio-Based Chemistry, Korea Research Institute of Chemical Technology (KRICT), Ulsan, Republic of Korea.
Wonsik LeeSchool of Pharmacy, Sungkyunkwan University, Suwon, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Synthetic biology approaches offer potential for large-scale and sustainable production of natural products with bioactive potency, including ginsenosides, providing a means to produce novel compounds with enhanced therapeutic properties. Ginseng, known for its non-toxic and potent qualities in traditional medicine, has been used for various medical needs. Ginseng has shown promise for its antioxidant and neuroprotective properties, and it has been used as a potential agent to boost immunity against various infections when used together with other drugs and vaccines. Given the increasing demand for ginsenosides and the challenges associated with traditional extraction methods, synthetic biology holds promise in the development of therapeutics. In this review, we discuss recent developments in microorganism producer engineering and ginsenoside production in microorganisms using synthetic biology approaches.

Identifiers

PMID38465212
PMCPMC10920010

What OpenQuestion holds

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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.