ReviewFrontiers in microbiology2018
New Insights on Steroid Biotechnology.
Review in Frontiers in microbiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers.
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.
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.
Who cites it
72 citing papers in PubMed, 202 citations in OpenAlex.
- Supporting activities of cognate redox partners for sterol-metabolizing P450 enzymes in Mycobacterium neoaurum.The Journal of biological chemistry · 2026Article
- Direct Conversion of Phytosterol to Testosterone via an Integrated Microbial-Enzymatic Strategy.Chemistry & biodiversity · 2026Article
- Toward Sustainable Testosterone Manufacturing: Green Chemistry and Microbial Biotransformation Approaches.International journal of molecular sciences · 2026Review
- Engineering a cytochrome P450 enzyme as a peroxygenase for selective hydroxylation of steroids.Nature communications · 2026Article
- Synthesis and antitumor activity of steroid-based imidazolium salts.RSC advances · 2025Article
- Biocatalytic Alkylation of Ambident Nucleophiles Enables Selective N-Functionalization of Heterocycles and Late-Stage Modifications.Angewandte Chemie (International ed. in English) · 2025Article
- Review
- Knockout of glycerol metabolic pathways enables efficient mycolicibacterial phytosterol conversion using glycerol as cosovlent.Applied microbiology and biotechnology · 2025Article
- Bacterial estrogenesis without oxygen: Wood-Ljungdahl pathway likely contributed to the emergence of estrogens in the biosphere.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Evaluating the Potential of Microdroplet Flow in Two-Phase Biocatalysis: A Systematic Study.ACS applied materials & interfaces · 2025Article
- Potent Anti-Cancer Activity of 1-Dehydrodiosgenone from the Product of Microbial Transformation of Steroid Saponins.International journal of molecular sciences · 2024Article
- Boldenone and Testosterone Production from Phytosterol via One-Pot Cascade Biotransformations.Journal of fungi (Basel, Switzerland) · 2024Article
- Oestrogen Detoxification Ability of White Rot FungusJournal of fungi (Basel, Switzerland) · 2024Article
- Unveiling the Longevity Potential of Natural Phytochemicals: A Comprehensive Review of Active Ingredients in Dietary Plants and Herbs.Journal of agricultural and food chemistry · 2024Review
- Modification of B-Nor Steroids Mediated by Filamentous FungusInternational journal of molecular sciences · 2024Article
- Improving the production of 22-hydroxy-23,24-bisnorchol-4-ene-3-one in Mycolicibacterium smegmatis.Microbial biotechnology · 2024Article
- Efficient Production of 9,22-Dihydroxy-23,24-bisnorchol-4-ene-3-one from Phytosterols by Modifying Multiple Genes inInternational journal of molecular sciences · 2024Article
- Immobilization of rough morphotype Mycolicibacterium neoaurum R for androstadienedione production.Biotechnology letters · 2024Article
- Microbial metabolism of diosgenin by a novel isolated Mycolicibacterium sp. HK-90: A promising biosynthetic platform to produce 19-carbon and 21-carbon steroids.Microbial biotechnology · 2024Article
- Approaches Towards Better Immunosuppressive Agents.Current topics in medicinal chemistry · 2024Review
12 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Nowadays steroid manufacturing occupies a prominent place in the pharmaceutical industry with an annual global market over $10 billion. The synthesis of steroidal active pharmaceutical ingredients (APIs) such as sex hormones (estrogens, androgens, and progestogens) and corticosteroids is currently performed by a combination of microbiological and chemical processes. Several mycobacterial strains capable of naturally metabolizing sterols (e.g., cholesterol, phytosterols) are used as biocatalysts to transform phytosterols into steroidal intermediates (synthons), which are subsequently used as key precursors to produce steroidal APIs in chemical processes. These synthons can also be modified by other microbial strains capable of introducing regio- and/or stereospecific modifications (functionalization) into steroidal molecules. Most of the industrial microbial strains currently available have been improved through traditional technologies based on physicochemical mutagenesis and selection processes. Surprisingly, Synthetic Biology and Systems Biology approaches have hardly been applied for this purpose. This review attempts to highlight the most relevant research on Steroid Biotechnology carried out in last decades, focusing specially on those works based on recombinant DNA technologies, as well as outlining trends and future perspectives. In addition, the need to construct new microbial cell factories (MCF) to design more robust and bio-sustainable bioprocesses with the ultimate aim of producing steroids à
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.