Evidence map›Paper›PMID 42024431›Full record

ArticleJournal of industrial microbiology & biotechnology2026

Kratom medium-chain dehydrogenase/reductase enzymes exhibit broad substrate and cofactor promiscuity.

Anna Koganitsky, Dong Oh Han, Vivian Liu, Amir Alwali, Sijin Li

Abstract read
In one paragraph

Article in Journal of industrial microbiology & biotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Anna KoganitskyR.F. Smith School of Chemical and Biomolecular Engineering, Cornell University, Ithaca, NY 14853, United States.ORCID 0000-0001-7091-2943
Dong Oh HanR.F. Smith School of Chemical and Biomolecular Engineering, Cornell University, Ithaca, NY 14853, United States.ORCID 0009-0004-6483-6971
Vivian LiuR.F. Smith School of Chemical and Biomolecular Engineering, Cornell University, Ithaca, NY 14853, United States.ORCID 0009-0007-7194-0461
Amir AlwaliR.F. Smith School of Chemical and Biomolecular Engineering, Cornell University, Ithaca, NY 14853, United States.ORCID 0009-0000-1109-9462
Sijin LiR.F. Smith School of Chemical and Biomolecular Engineering, Cornell University, Ithaca, NY 14853, United States.ORCID 0000-0003-0364-5632

Funding

Synthetic biology to discover kratom natural product biosynthetic pathways for biased analgesic developmentR01AT012633 · NCCIH · CORNELL UNIVERSITY · PI SIJIN LI · 2024 to 2026
$1.3M
Cornell Atkinson Center for SustainabilityCornell Duffield EngineeringNational Science Foundation DBI-2019674National Science Foundation IOS-2220733National Science Foundation MCB-2338009NCCIH NIH HHSNIH HHS R01AT012633
6 · The paper itself

Abstract

Medium-chain alcohol dehydrogenases/reductases (MDRs) are crucial to the biosynthesis of plant monoterpene indole alkaloids (MIAs), yet studies have focused solely on their catalytic activities with strictosidine aglycone derivatives and NADPH as the redox cofactor. Here, we combined computational and experimental approaches to characterize the substrate and cofactor promiscuity of five MDRs recently identified in the medicinal plant kratom, including MsMDR4, MsMDR11, MsTHAS (tetrahydroalstonine synthase), MsDCS1 (dihydrocorynantheine synthase), and MsHYS (heteroyohimbine synthase). In vitro and yeast-based biochemical analyses showed that MsMDR4, MsMDR11, and MsTHAS catalyze the aldehyde reduction for cinnamaldehyde and 8-oxogeraniol, while MsMDR11 and MsTHAS also catalyze the alcohol oxidation for cinnamyl alcohol and 8-hydroxygeraniol. In particular, MsMDR11 exhibits 8-hydroxygeraniol oxidoreductase activity, producing 8-oxogeranial, an upstream intermediate in the strictosidine pathway. Additionally, all five enzymes can accept NADH/NAD + as redox cofactors, though with decreased productivity. Swapping the reducing cofactor from NADPH to NADH further alters the distribution of MIAs produced by MsDCS1 and MsHYS. Together, kratom MDRs exhibit great plasticity and potential for future enzyme engineering. One-sentence summary Computational and biochemical analyses revealed that previously identified kratom medium-chain dehydrogenase/reductases exhibit broad substrate and cofactor promiscuity.

Indexed as

Alcohol OxidoreductasesCatharanthusCoenzymesOxidoreductasesNADPOxidation-ReductionPlant ProteinsSubstrate SpecificityAlcohol OxidoreductasesCoenzymesNADPOxidoreductasesPlant Proteinsenzyme promiscuitykratommedium-chain dehydrogenase/reductase

Identifiers

PMID42024431
PMCPMC13146661

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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 OpenQuestion graph.