Evidence map›Paper›PMID 42403176›Full record

ReviewJournal of microbiology (Seoul, Korea)2026

High yield strategies for triterpenoid biosynthesis in cell factories.

Mingzhu Zheng, Chuang Liu, Ceyuan Liu, Jing Xie, Gen Pan, Can Zhong, Jian Jin

Abstract readReview
In one paragraph

Review in Journal of microbiology (Seoul, Korea), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Mingzhu ZhengHunan Academy of Chinese Medicine, Hunan University of Chinese Medicine, Changsha 410036, P. R. China.
Chuang LiuHunan Academy of Chinese Medicine, Hunan University of Chinese Medicine, Changsha 410036, P. R. China.
Ceyuan LiuHunan Academy of Chinese Medicine, Hunan University of Chinese Medicine, Changsha 410036, P. R. China.
Jing XieInstitute of Chinese Medicine Resources, Hunan Academy of Chinese Medicine, Changsha 410013, P. R. China.
Gen PanInstitute of Chinese Medicine Resources, Hunan Academy of Chinese Medicine, Changsha 410013, P. R. China.
Can ZhongInstitute of Chinese Medicine Resources, Hunan Academy of Chinese Medicine, Changsha 410013, P. R. China.
Jian JinHunan Academy of Chinese Medicine, Hunan University of Chinese Medicine, Changsha 410036, P. R. China.

Funding

First-Class Discipline of Pharmaceutical Science of HunanNational Natural Science Foundation of China 82404805National Natural Science Foundation of China 82474039Science and Technology Innovation Program of Hunan Province 2025RC3227Training Program for Excellent Young Innovators of Changsha kq2506026
6 · The paper itself

Abstract

Triterpenoids are natural products widely found in the plant kingdom and have various pharmacological effects such as anti-inflammatory, antioxidant and anti-tumour. However, the content of triterpenoids in medicinal plants is low, and it is difficult to purify and isolate them due to their complex structure. The efficient production of some triterpenoids in chassis organisms has been achieved by constructing a heterologous triterpenoid synthesis pathway in engineered strains such as yeast, modifying the key enzymes in the pathway, and adjusting the metabolism of yeast. Modification of key enzymes in the synthetic pathway is currently an effective strategy to enhance the heterologous synthesis of triterpenoids. This paper reviews the current research progress on the modification of key enzymes downstream in the synthetic pathway and the design of key enzymes around them to enhance triterpenoid production in five main areas: 1) increasing the supply of triterpenoid precursors; 2) inhibition of the natural sterol pathway; 3) fusion expression of related enzymes; 4) compartmentalisation of the metabolic pathway; and 5) tapping and enhancing the triterpenoid efflux pump. Finally, recent advances and applications of artificial intelligence (AI) in enzyme engineering and pathway design for triterpenoid biosynthesis are highlighted. Challenges and perspectives for further increasing the yield of triterpenoid synthesis in Saccharomyces cerevisiae are presented.

Indexed as

Metabolic EngineeringSaccharomyces cerevisiaeTriterpenesBiosynthetic PathwaysTriterpenesbiosynthesisenzymesstrategiestriterpenoidsyeast

Identifiers

PMID42403176
PMCPMC13577033

What OpenQuestion holds

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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.