Literature DB >> 34261756

Association of Coding Variants in Hydroxysteroid 17-beta Dehydrogenase 14 (HSD17B14) with Reduced Progression to End Stage Kidney Disease in Type 1 Diabetes.

Josyf C Mychaleckyj1, Erkka Valo2,3,4, Takaharu Ichimura5, Tarunveer S Ahluwalia6, Christian Dina7, Rachel G Miller8, Ivan G Shabalin9, Beata Gyorgy10, JingJing Cao11, Suna Onengut-Gumuscu12, Eiichiro Satake13,14, Adam M Smiles13, Jani K Haukka2,3,4, David-Alexandre Tregouet10,15, Tina Costacou8, Kristina O'Neil13, Andrew D Paterson11, Carol Forsblom2,3,4, Hillary A Keenan13,14, Marcus G Pezzolesi13,14,16, Marlon Pragnell17, Andrzej Galecki18, Stephen S Rich12, Niina Sandholm2,3,4, Ronald Klein19, Barbara E Klein19, Katalin Susztak20, Trevor J Orchard8, Ron Korstanje21, George L King13,14, Samy Hadjadj22,23, Peter Rossing24,6, Joseph V Bonventre5, Per-Henrik Groop2,25,3,4, James H Warram13, Andrzej S Krolewski26,14.   

Abstract

BACKGROUND: Rare variants in gene coding regions likely have a greater impact on disease-related phenotypes than common variants through disruption of their encoded protein. We searched for rare variants associated with onset of ESKD in individuals with type 1 diabetes at advanced kidney disease stage.
METHODS: Gene-based exome array analyses of 15,449 genes in five large incidence cohorts of individuals with type 1 diabetes and proteinuria were analyzed for survival time to ESKD, testing the top gene in a sixth cohort (n=2372/1115 events all cohorts) and replicating in two retrospective case-control studies (n=1072 cases, 752 controls). Deep resequencing of the top associated gene in five cohorts confirmed the findings. We performed immunohistochemistry and gene expression experiments in human control and diseased cells, and in mouse ischemia reperfusion and aristolochic acid nephropathy models.
RESULTS: Protein coding variants in the hydroxysteroid 17-β dehydrogenase 14 gene (HSD17B14), predicted to affect protein structure, had a net protective effect against development of ESKD at exome-wide significance (n=4196; P value=3.3 × 10-7). The HSD17B14 gene and encoded enzyme were robustly expressed in healthy human kidney, maximally in proximal tubular cells. Paradoxically, gene and protein expression were attenuated in human diabetic proximal tubules and in mouse kidney injury models. Expressed HSD17B14 gene and protein levels remained low without recovery after 21 days in a murine ischemic reperfusion injury model. Decreased gene expression was found in other CKD-associated renal pathologies.
CONCLUSIONS: HSD17B14 gene is mechanistically involved in diabetic kidney disease. The encoded sex steroid enzyme is a druggable target, potentially opening a new avenue for therapeutic development.
Copyright © 2021 by the American Society of Nephrology.

Entities:  

Keywords:  diabetic kidney disease; diabetic nephropathy; end stage kidney disease; gene-based tests; hydroxysteroid 17-beta dehydrogenase 14; rare variants; type 1 diabetes

Mesh:

Substances:

Year:  2021        PMID: 34261756      PMCID: PMC8722802          DOI: 10.1681/ASN.2020101457

Source DB:  PubMed          Journal:  J Am Soc Nephrol        ISSN: 1046-6673            Impact factor:   14.978


  58 in total

1.  Methods for detecting associations with rare variants for common diseases: application to analysis of sequence data.

Authors:  Bingshan Li; Suzanne M Leal
Journal:  Am J Hum Genet       Date:  2008-08-07       Impact factor: 11.025

2.  Diabetic nephropathy: is ESRD its only heritable phenotype?

Authors:  Marcus G Pezzolesi; Andrzej S Krolewski
Journal:  J Am Soc Nephrol       Date:  2013-09-12       Impact factor: 10.121

3.  Optimally weighted Z-test is a powerful method for combining probabilities in meta-analysis.

Authors:  D V Zaykin
Journal:  J Evol Biol       Date:  2011-05-23       Impact factor: 2.411

4.  First Structure-Activity Relationship of 17β-Hydroxysteroid Dehydrogenase Type 14 Nonsteroidal Inhibitors and Crystal Structures in Complex with the Enzyme.

Authors:  Florian Braun; Nicole Bertoletti; Gabriele Möller; Jerzy Adamski; Torsten Steinmetzer; Mohamed Salah; Ahmed S Abdelsamie; Chris J van Koppen; Andreas Heine; Gerhard Klebe; Sandrine Marchais-Oberwinkler
Journal:  J Med Chem       Date:  2016-11-18       Impact factor: 7.446

Review 5.  Microalbuminuria as a risk predictor in diabetes: the continuing saga.

Authors:  George L Bakris; Mark Molitch
Journal:  Diabetes Care       Date:  2014       Impact factor: 19.112

6.  Proximal tubule ATR regulates DNA repair to prevent maladaptive renal injury responses.

Authors:  Seiji Kishi; Craig R Brooks; Kensei Taguchi; Takaharu Ichimura; Yutaro Mori; Akinwande Akinfolarin; Navin Gupta; Pierre Galichon; Bertha C Elias; Tomohisa Suzuki; Qian Wang; Leslie Gewin; Ryuji Morizane; Joseph V Bonventre
Journal:  J Clin Invest       Date:  2019-11-01       Impact factor: 14.808

7.  Transcription factor and chromatin features predict genes associated with eQTLs.

Authors:  Dennis Wang; Augusto Rendon; Lorenz Wernisch
Journal:  Nucleic Acids Res       Date:  2012-12-28       Impact factor: 16.971

8.  Genome-Wide Association Study of Diabetic Kidney Disease Highlights Biology Involved in Glomerular Basement Membrane Collagen.

Authors:  Rany M Salem; Jennifer N Todd; Niina Sandholm; Joanne B Cole; Wei-Min Chen; Darrell Andrews; Marcus G Pezzolesi; Paul M McKeigue; Linda T Hiraki; Chengxiang Qiu; Viji Nair; Chen Di Liao; Jing Jing Cao; Erkka Valo; Suna Onengut-Gumuscu; Adam M Smiles; Stuart J McGurnaghan; Jani K Haukka; Valma Harjutsalo; Eoin P Brennan; Natalie van Zuydam; Emma Ahlqvist; Ross Doyle; Tarunveer S Ahluwalia; Maria Lajer; Maria F Hughes; Jihwan Park; Jan Skupien; Athina Spiliopoulou; Andrew Liu; Rajasree Menon; Carine M Boustany-Kari; Hyun M Kang; Robert G Nelson; Ronald Klein; Barbara E Klein; Kristine E Lee; Xiaoyu Gao; Michael Mauer; Silvia Maestroni; Maria Luiza Caramori; Ian H de Boer; Rachel G Miller; Jingchuan Guo; Andrew P Boright; David Tregouet; Beata Gyorgy; Janet K Snell-Bergeon; David M Maahs; Shelley B Bull; Angelo J Canty; Colin N A Palmer; Lars Stechemesser; Bernhard Paulweber; Raimund Weitgasser; Jelizaveta Sokolovska; Vita Rovīte; Valdis Pīrāgs; Edita Prakapiene; Lina Radzeviciene; Rasa Verkauskiene; Nicolae Mircea Panduru; Leif C Groop; Mark I McCarthy; Harvest F Gu; Anna Möllsten; Henrik Falhammar; Kerstin Brismar; Finian Martin; Peter Rossing; Tina Costacou; Gianpaolo Zerbini; Michel Marre; Samy Hadjadj; Amy J McKnight; Carol Forsblom; Gareth McKay; Catherine Godson; A Peter Maxwell; Matthias Kretzler; Katalin Susztak; Helen M Colhoun; Andrzej Krolewski; Andrew D Paterson; Per-Henrik Groop; Stephen S Rich; Joel N Hirschhorn; Jose C Florez
Journal:  J Am Soc Nephrol       Date:  2019-09-19       Impact factor: 14.978

9.  Fast and accurate short read alignment with Burrows-Wheeler transform.

Authors:  Heng Li; Richard Durbin
Journal:  Bioinformatics       Date:  2009-05-18       Impact factor: 6.937

10.  The single-cell transcriptomic landscape of early human diabetic nephropathy.

Authors:  Parker C Wilson; Haojia Wu; Yuhei Kirita; Kohei Uchimura; Nicolas Ledru; Helmut G Rennke; Paul A Welling; Sushrut S Waikar; Benjamin D Humphreys
Journal:  Proc Natl Acad Sci U S A       Date:  2019-09-10       Impact factor: 11.205

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  1 in total

1.  Coding Variants in Susceptibility to Diabetic Kidney Disease.

Authors:  Lili Liu; Krzysztof Kiryluk
Journal:  J Am Soc Nephrol       Date:  2021-10       Impact factor: 14.978

  1 in total

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