Literature DB >> 17442338

Mouse 17alpha-hydroxysteroid dehydrogenase (AKR1C21) binds steroids differently from other aldo-keto reductases: identification and characterization of amino acid residues critical for substrate binding.

Frédérick Faucher1, Line Cantin, Karine Pereira de Jésus-Tran, Mélanie Lemieux, Van Luu-The, Fernand Labrie, Rock Breton.   

Abstract

The mouse 17alpha-hydroxysteroid dehydrogenase (m17alpha-HSD) is the unique known member of the aldo-keto reductase (AKR) superfamily able to catalyze efficiently and in a stereospecific manner the conversion of androstenedione (Delta4) into epi-testosterone (epi-T), the 17alpha-epimer of testosterone. Structural and mutagenic studies had already identified one of the residues delineating the steroid-binding cavity, A24, as the major molecular determinant for the stereospecificity of m17alpha-HSD. We report here a ternary complex crystal structure (m17alpha-HSD:NADP(+):epi-T) determined at 1.85 A resolution that confirms this and reveals a unique steroid-binding mode for an AKR enzyme. Indeed, in addition to the interactions found in all other AKRs (van der Waals contacts stabilizing the core of the steroid and the hydrogen bonds established at the catalytic site by the Y55 and H117 residues with the oxygen atom of the ketone group to be reduced), m17alpha-HSD establishes with the other extremity of the steroid nucleus an additional interaction involving K31. By combining direct mutagenesis and kinetic studies, we found that the elimination of this hydrogen bond did not affect the affinity of the enzyme for its steroid substrate but led to a slight but significant increase of its catalytic efficiency (k(cat)/K(m)), suggesting a role for K31 in the release of the steroidal product at the end of the reaction. This previously unobserved steroid-binding mode for an AKR is similar to that adopted by other steroid-binding proteins, the hydroxysteroid dehydrogenases of the short-chain dehydrogenases/reductases (SDR) family and the steroid hormone nuclear receptors. Mutagenesis and structural studies made on the human type 3 3alpha-HSD, a closely related enzyme that shares 73% amino acids identity with the m17alpha-HSD, also revealed that the residue at position 24 of these two enzymes directly affects the binding and/or the release of NADPH, in addition to its role in their 17alpha/17beta stereospecificity.

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Year:  2007        PMID: 17442338     DOI: 10.1016/j.jmb.2007.03.058

Source DB:  PubMed          Journal:  J Mol Biol        ISSN: 0022-2836            Impact factor:   5.469


  5 in total

Review 1.  The aldo-keto reductase superfamily and its role in drug metabolism and detoxification.

Authors:  Oleg A Barski; Srinivas M Tipparaju; Aruni Bhatnagar
Journal:  Drug Metab Rev       Date:  2008       Impact factor: 4.518

2.  Structure of 3(17)alpha-hydroxysteroid dehydrogenase (AKR1C21) holoenzyme from an orthorhombic crystal form: an insight into the bifunctionality of the enzyme.

Authors:  Urmi Dhagat; Vincenzo Carbone; Roland P-T Chung; Clemens Schulze-Briese; Satoshi Endo; Akira Hara; Ossama El-Kabbani
Journal:  Acta Crystallogr Sect F Struct Biol Cryst Commun       Date:  2007-09-19

3.  Modeling single nucleotide polymorphisms in the human AKR1C1 and AKR1C2 genes: implications for functional and genotyping analyses.

Authors:  Jonathan W Arthur; Juergen K V Reichardt
Journal:  PLoS One       Date:  2010-12-31       Impact factor: 3.240

4.  Genomic adaptations to cereal-based diets contribute to mitigate metabolic risk in some human populations of East Asian ancestry.

Authors:  Arianna Landini; Shaobo Yu; Guido Alberto Gnecchi-Ruscone; Paolo Abondio; Claudia Ojeda-Granados; Stefania Sarno; Sara De Fanti; Davide Gentilini; Anna Maria Di Blasio; Hanjun Jin; Thanh Tin Nguyen; Giovanni Romeo; Cecilia Prata; Eugenio Bortolini; Donata Luiselli; Davide Pettener; Marco Sazzini
Journal:  Evol Appl       Date:  2020-09-08       Impact factor: 5.183

5.  Lack of functional and expression homology between human and mouse aldo-keto reductase 1C enzymes: implications for modelling human cancers.

Authors:  Pedro Veliça; Nicholas J Davies; Pedro P Rocha; Heinrich Schrewe; Jonathan P Ride; Chris M Bunce
Journal:  Mol Cancer       Date:  2009-12-14       Impact factor: 27.401

  5 in total

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