Next Article in Journal
Increased Risk of Diabetes in Inflammatory Bowel Disease Patients: A Nationwide Population-Based Study in Korea
Next Article in Special Issue
Incidence and Impact of Acute Kidney Injury after Liver Transplantation: A Meta-Analysis
Previous Article in Journal
Clinical and Biomarker Characteristics According to Clinical Spectrum of Alzheimer’s Disease (AD) in the Validation Cohort of Korean Brain Aging Study for the Early Diagnosis and Prediction of AD
Previous Article in Special Issue
Why Have Detection, Understanding and Management of Kidney Hypoxic Injury Lagged behind Those for the Heart?
Open AccessArticle

Common Inflammation-Related Candidate Gene Variants and Acute Kidney Injury in 2647 Critically Ill Finnish Patients

Division of Intensive Care Medicine, Department of Anesthesiology, Intensive Care and Pain Medicine, University of Helsinki and Helsinki University Hospital, 00014 Helsinki, Finland
Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, 000014 Helsinki, Finland
Author to whom correspondence should be addressed.
Membership of the The FINNAKI Study Group is provided in the Acknowledgments.
J. Clin. Med. 2019, 8(3), 342;
Received: 31 January 2019 / Revised: 26 February 2019 / Accepted: 4 March 2019 / Published: 11 March 2019
Acute kidney injury (AKI) is a syndrome with high incidence among the critically ill. Because the clinical variables and currently used biomarkers have failed to predict the individual susceptibility to AKI, candidate gene variants for the trait have been studied. Studies about genetic predisposition to AKI have been mainly underpowered and of moderate quality. We report the association study of 27 genetic variants in a cohort of Finnish critically ill patients, focusing on the replication of associations detected with variants in genes related to inflammation, cell survival, or circulation. In this prospective, observational Finnish Acute Kidney Injury (FINNAKI) study, 2647 patients without chronic kidney disease were genotyped. We defined AKI according to Kidney Disease: Improving Global Outcomes (KDIGO) criteria. We compared severe AKI (Stages 2 and 3, n = 625) to controls (Stage 0, n = 1582). For genotyping we used iPLEXTM Assay (Agena Bioscience). We performed the association analyses with PLINK software, using an additive genetic model in logistic regression. Despite the numerous, although contradictory, studies about association between polymorphisms rs1800629 in TNFA and rs1800896 in IL10 and AKI, we found no association (odds ratios 1.06 (95% CI 0.89–1.28, p = 0.51) and 0.92 (95% CI 0.80–1.05, p = 0.20), respectively). Adjusting for confounders did not change the results. To conclude, we could not confirm the associations reported in previous studies in a cohort of critically ill patients. View Full-Text
Keywords: acute kidney injury; genetic variation; human genetics acute kidney injury; genetic variation; human genetics
Show Figures

Figure 1

MDPI and ACS Style

Vilander, L.M.; Vaara, S.T.; Kaunisto, M.A.; Pettilä, V.; Study Group, T.F. Common Inflammation-Related Candidate Gene Variants and Acute Kidney Injury in 2647 Critically Ill Finnish Patients. J. Clin. Med. 2019, 8, 342.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

Back to TopTop