Evidence map›Paper›PMID 41372208›Full record

ArticleNature communications2025

Unveiling cytochrome P450 enzymes that catalyze steroid side-chain cleavage in bacteria.

Wenya Tian, Guangzheng Wei, Borui Duan, Haidong Peng, Huanhuan Liu, Mengmeng Zheng, Zhi Lin, Zixin Deng, Zhengyu Zhang, Xudong Qu

Abstract read
In one paragraph

Article in Nature communications, 2025. 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

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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

10 authors.

Wenya Tian *State Key Laboratory of Microbial Metabolism and School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China.
Guangzheng Wei *State Key Laboratory of Microbial Metabolism and School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China.
Borui Duan *Key Laboratory of Combinatorial Biosynthesis and Drug Discovery, Ministry of Education, and School of Pharmaceutical Sciences, Wuhan University, Wuhan, China.
Haidong PengState Key Laboratory of Microbial Metabolism and School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China.
Huanhuan LiuKey Laboratory of Combinatorial Biosynthesis and Drug Discovery, Ministry of Education, and School of Pharmaceutical Sciences, Wuhan University, Wuhan, China.
Mengmeng ZhengState Key Laboratory of Microbial Metabolism and School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China.
Zhi LinState Key Laboratory of Microbial Metabolism and School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China.
Zixin DengState Key Laboratory of Microbial Metabolism and School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China.ORCID http://orcid.org/0000-0003-0724-3390
Zhengyu ZhangKey Laboratory of Combinatorial Biosynthesis and Drug Discovery, Ministry of Education, and School of Pharmaceutical Sciences, Wuhan University, Wuhan, China. zhengyu.zhang@whu.edu.cn.ORCID http://orcid.org/0000-0001-5035-1229
Xudong QuState Key Laboratory of Microbial Metabolism and School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China. quxd19@sjtu.edu.cn.ORCID http://orcid.org/0000-0002-3301-8536

Funding

China Postdoctoral Science Foundation 2023M742272China Postdoctoral Science Foundation 2025T180976China Postdoctoral Science Foundation GZB20230413National Natural Science Foundation of China (National Science Foundation of China) 22307076National Natural Science Foundation of China (National Science Foundation of China) 22407088National Natural Science Foundation of China (National Science Foundation of China) 32100036National Natural Science Foundation of China (National Science Foundation of China) 32301216National Natural Science Foundation of China (National Science Foundation of China) 32425033
6 · The paper itself

Abstract

Steroids are among the most valuable and widely used pharmaceuticals. The cholesterol side-chain cleavage enzyme (P450scc) is critical for steroid metabolism and hormone biosynthesis. While mammalian eukaryotic P450scc enzymes are well-characterized, bacterial counterparts remain underexplored despite their industrial promise and potential contributions to bacterial steroid catabolism. Here, we identify a series of CYP204 family P450 enzymes, widely distributed across diverse steroid-degrading bacterial species, that catalyze the side-chain cleavage of cholesterol, phytosterol, and cholestenone to produce pregnenolone and progesterone. Unlike mammalian enzymes, which exhibit strict cholesterol specificity, bacterial P450scc enzymes display relaxed substrate specificity, preferentially converting cholestenone to progesterone-a key precursor in steroid drug semi-synthesis. Structural and mechanistic analyses demonstrate that CYP204 enzymes employ a flexible, dual-regioselective C-H activation mechanism distinct from the sequential hydroxylation of mammalian P450scc enzymes. Iterative saturation mutagenesis identified critical residues for side-chain cleavage, improving catalytic efficiency up to 6.5-fold, and computational analyses clarified sequence-function relationships. This finding of bacterial P450scc enzymes not only underscores their potential function in bacterial steroid catabolism but also lays a foundation for promising biocatalytic strategies for pregnenolone and progesterone synthesis.

Indexed as

BacteriaBacterial ProteinsCholesterol Side-Chain Cleavage EnzymeCytochrome P-450 Enzyme SystemSteroidsCatalysisCholesterolPhytosterolsPregnenoloneProgesteroneSubstrate SpecificityBacterial ProteinsCholesterolCholesterol Side-Chain Cleavage EnzymeCytochrome P-450 Enzyme SystemPhytosterolsPregnenoloneProgesteroneSteroids

Identifiers

PMID41372208
PMCPMC12808266

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

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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 Socratic graph.