Toggle Main Menu Toggle Search

Open Access padlockePrints

Mitochondrial Haplogroup and the Risk of Acute Kidney Injury Following Cardiac Bypass Surgery

Lookup NU author(s): Dr Suren Kanagasundaram, Dr Simon Baudouin, Sarah Rowling, Professor John Dark, Professor Tim Goodship, Professor Patrick Chinnery, Professor Gavin Hudson

Downloads


Licence

This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Abstract

Although mitochondrial dysfunction plays a key role in the pathophysiology of acute kidney injury (AKI), the influence of mitochondrial genetic variability in this process remains unclear. We explored the association between the risk of post-cardiac bypass AKI and mitochondrial haplotype – inherited mitochondrial genomic variations of potentially functional significance. Our single-centre study recruited consecutive patients prior to surgery. Exclusions included stage 5 CKD, non-Caucasian race and subsequent off-pump surgery. Haplogroup analysis allowed characterisation of the study population using the common mutations and by phylogenetic supergroup (WXI and HV). Chi-square tests for association allowed the identification of potential predictors of AKI for use in logistic regression analysis. AKI occurred in 12.8% of the study population (n = 881; male 69.6%, non-diabetic 78.5%, median (interquartile range) age 68.0 (61.0–75.0) years). The haplogroup profile comprised H (42.7%), J (12.1%), T (10.9%), U (14.4%) and K (7.6%). Although the regression model was statistically significant (χ2 = 95.483, p < 0.0005), neither the phylogenetic supergroups nor any individual haplogroup was a significant contributor. We found no significant association between common European haplogroups and the risk of post-cardiac bypass AKI. However, given the major role of mitochondrial dysfunction in AKI, there is a need to replicate our findings in other cohorts and with other aetiologies of AKI.


Publication metadata

Author(s): Kanagasundaram NS, Baudouin SV, Rowling S, Prabhu M, Dark JH, Goodship THJ, Chinnery PF, Hudson G

Publication type: Article

Publication status: Published

Journal: Scientific Reports

Year: 2019

Volume: 9

Online publication date: 19/02/2019

Acceptance date: 11/12/2018

Date deposited: 01/03/2019

ISSN (electronic): 2045-2322

Publisher: Nature Publishing Group

URL: https://doi.org/10.1038/s41598-018-37944-2

DOI: 10.1038/s41598-018-37944-2


Altmetrics

Altmetrics provided by Altmetric


Share