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. 2021 May;193(5):1532-1544.
doi: 10.1007/s12010-021-03489-w. Epub 2021 Jan 23.

Functional miR143/145 Cluster Variants and Haplotypes Are Associated with Chronic Kidney Disease: a Preliminary Case-Control Study and Computational Analyses

Saman Sargazi  1 , Milad Heidari Nia  2 , Fariba Mirani Sargazi  2 , Roghayeh Sheervalilou  2 , Ramin Saravani  3   4 , Sara Bahrami  2 , Shekoufeh Mirinejad  2 , Ali Alidadi  5
Affiliations

Functional miR143/145 Cluster Variants and Haplotypes Are Associated with Chronic Kidney Disease: a Preliminary Case-Control Study and Computational Analyses

Saman Sargazi et al. Appl Biochem Biotechnol. 2021 May.

Abstract

MiR-143/145 cluster is a novel transcriptional target of many signaling pathways, with variations within this cluster contributed to the risk of multiple diseases. To date, no data regarding the link between miR143/145 cluster polymorphisms and the risk of developing chronic kidney disease (CKD) has been reported. Hence, we aimed to examine such association in a population of Iranian ancestry. In this preliminary study, 276 CKD patients and 300 unrelated age and sex-matched healthy controls were recruited. Genotyping was performed by PCR-RFLP and allele-specific-PCR methods. Computational analyses were performed to predict the potential effects of the variants. Our findings indicated that rs41291957, rs12659504, and rs353292 polymorphisms were positively associated with CKD, while rs4705342 and rs4705343 polymorphisms demonstrated a significant negative association with the disease. Moreover, a significant association was observed between CC + TC and TT genotypes and CKD stages. We found that AACTT, AATTC, AATTT, GATTC, GATTT, and GGCTT haplotypes significantly enhanced the risk of CKD compared with the Grs41291957AArs12659504Crs353292Trs4705342Trs4705343 haplotype. Computational analysis showed that rs353292, rs4705342, and rs4705343 might alter the binding of the transcription factors in this gene cluster. We found that miR-143/145 cluster polymorphisms were associated with CKD risk in a sample of the Iranian population. Replicated studies on different ethnicities are necessary to investigate the association between these promoter variants and clinical outcomes.

Keywords: Bioinformatics analysis; Chronic kidney disease; Haplotype; MicroRNAs.

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