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Correlated mutations in hydroxysteroid dehydrogenases family

  • Agata Żyźniewska EMAIL logo , Jacek Leluk and Gabriela Żaroffe

Abstract

Background

Hydroxysteroid dehydrogenase enzymes belong to the short-chain dehydrogenase/reductase (SDR) superfamily and aldo-keto reductases (AKRs). SDR is involved in the metabolism of many compounds (hormones, lipids, etc.) and is present in almost all studied genomes. Two hundred members of hydroxysteroid dehydrogenases have been analysed in terms of natural mutational variability. The second superfamily comprises AKR superfamily group enzymes whose function is catalysing the oxidation and reduction of many substrates by binding NAD(P)H as a cofactor. This kind of study is the first approach for the hydroxysteroid dehydrogenase family. This information grants practical meaning to designing potential specific drugs to fight specific diseases caused by mutations.

Methods

In the research, amino acid sequences of representatives of the hydroxysteroid dehydrogenase family were extracted from the UniProt database. In total, the analysed 200 sequences with the highest degree of similarity were shown by BLAST searches. In the sequence analyses, we used the following software: ClustalX (multiple sequence alignment), Consensus Constructor (creating consensus sequence), and CORM (finding correlated mutations).

Results

The CORM program identified potential sites of correlated mutations in hydroxysteroid dehydrogenases. This program generated 18 tables of results that contain the amino acid positions of mutations. Seven of these are presented in this paper.

Conclusions

The primary structure of the hydroxysteroid dehydrogenase family shows high variation.

  1. Author contributions: The authors accept responsibility for the entire content of this article and approved its submission.

  2. Research funding: None declared.

  3. Employment or leadership: None declared.

  4. Honorarium: None declared.

  5. Competing interests: The funding organisation(s) played no role in the study design; in the collection, analysis, and interpretation of data; in the writing of the report; or in the decision to submit the report for publication.

References

1. Persson B, Kallberg Y, Bray JE, Bruford E, Dellaporta SL, Favia AD, et al. The SDR (short-chain dehydrogenase/reductase and related enzymes) nomenclature initiative. Chemo-Biol Interact 2008;178:94–8.10.1016/j.cbi.2008.10.040Search in Google Scholar PubMed PubMed Central

2. Penning TM. Hydroxysteroid dehydrogenases and pre-receptor regulation of steroid hormone action. Hum Reprod Update 2003;9:193–205.10.1093/humupd/dmg022Search in Google Scholar PubMed

3. Kallberg Y, Oppermann U, Jörnvall H, Persson B. Short-chain dehydrogenase/reductase (SDR) relationships: a large family with eight clusters common to human, animal, and plant genomes. Prot Sci 2001;11:636–41.10.1110/ps.26902Search in Google Scholar PubMed PubMed Central

4. Kavanagh KL, Jörnvall H, Persson B, Oppermann U. The SDR superfamily: functional and structural diversity within a family of metabolic and regulatory enzymes. Cell Mol Life Sci 2008;65:3895–906.10.1007/s00018-008-8588-ySearch in Google Scholar PubMed PubMed Central

5. Jornvall H, Persson M, Krook M, Atrian S, Gonzalez-Duarte R, Jeffrey J, et al. Short-chain dehydrogenases/reductases (SDR). Biochemistry 1995;34:6003–13.10.1021/bi00018a001Search in Google Scholar PubMed

6. Su J, Lin M, Napoli JN. Complementary deoxyribonucleic acid cloning and enzymatic characterization of a novel 17β/3α-hydroxysteroid/retinoid short chain dehydrogenase/reductase. Endocrinology 1999;140:5275–84.10.1210/endo.140.11.7137Search in Google Scholar PubMed

7. Persson B, Krook M, Jörnvall H. Short-chain dehydrogenases/reductases. In: Enzymology and molecular biology of carbonyl metabolism 5. Volume 372 of the series Advances in experimental medicine and biology. New York: Springer, 1995:383–95.10.1007/978-1-4615-1965-2_46Search in Google Scholar PubMed

8. Kavanagh KL, Jörnvall H, Persson B, Oppermann U. Medium- and short-chain dehydrogenase/reductase gene and protein families. The SDR superfamily: functional and structural diversity within a family of metabolic and regulatory enzymes. Cell Mol Life Sci 2008;65:3895–906.10.1007/s00018-008-8588-ySearch in Google Scholar

9. Jez JM, Bennett MJ, Schlegel BP, Lewis M, Penning TM. Comparative anatomy of the aldo-keto reductase superfamily. Biochem J 1997;326:625–36.10.1042/bj3260625Search in Google Scholar PubMed PubMed Central

10. Penning TM, Drury JE. Human aldo-keto reductases: function, gene regulation, and single nucleotide polymorphisms. Arch Biochem Biophys 2007;464:241–50.10.1016/j.abb.2007.04.024Search in Google Scholar PubMed PubMed Central

11. Jez JM, Flynn TG, Penning TM. A new nomenclature for the aldo-keto reductase superfamily. Biochem Pharmacol 1997;54:639–47.10.1016/S0006-2952(97)84253-0Search in Google Scholar

12. Schlegel BP, Jez JM, Penning TM. Mutagenesis of 3α-hydroxysteroid dehydrogenase reveals a “push-pull” mechanism for proton transfer in aldo-keto reductases. Biochemistry 1998;37:3538–48.10.1021/bi9723055Search in Google Scholar

13. Barski OA, Tipparaju SM, Bhatnagar A. The aldo-keto reductase superfamily and its role in drug metabolism and detoxification. Drug Metab Rev 2008;40:553–624.10.1080/03602530802431439Search in Google Scholar

14. Altschul SF, Gish W, Miller W, Myers EW, Lipman DJ. Basic local alignment search tool. J Mol Biol 1990;215:403–10.10.1016/S0022-2836(05)80360-2Search in Google Scholar

15. Madden TL, Tatusov RL, Zhang J. Applications of network BLAST server. Methods Enzymol 1996;266:131–41.10.1016/S0076-6879(96)66011-XSearch in Google Scholar

16. Altschul SF, Madden TL, Schäffer AA, Zhang J, Zhang Z, Miller W, et al. Gapped BLAST and PSI-BLAST: a new generation of protein database search programs. Nucleic Acids Res 1997;25:3389–402.10.1093/nar/25.17.3389Search in Google Scholar PubMed PubMed Central

17. Thompson JD, Higgins DG, Gibson TJ. CLUSTAL W: improving the sensitivity of progressive-multiple sequence alignment through sequence weighting, position-specific gap penalties and weight matrix choice. Nucl Acids Res 1994;22:4673–80.10.1093/nar/22.22.4673Search in Google Scholar PubMed PubMed Central

18. Website: http://atama.wnb.uz.zgora.pl/∼jleluk/linki.html. Accessed 11 July, 2016.Search in Google Scholar


Supplemental Material

The online version of this article (DOI: 10.1515/bams-2016-0024) offers supplementary material, available to authorized users.


Received: 2016-11-30
Accepted: 2017-1-11
Published Online: 2017-2-21
Published in Print: 2017-3-1

©2017 Walter de Gruyter GmbH, Berlin/Boston

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