bims-lorfki Biomed News
on Long non-coding RNA functions in the kidney
Issue of 2021‒12‒19
two papers selected by
Nikita Dewani
Max Delbrück Centre for Molecular Medicine


  1. Endocr J. 2021 Dec 14.
      Long non-coding RNAs (lncRNAs) have been proved to play critical roles in diabetic nephropathy (DN). This study aimed to investigate the functions and underlying mechanism of potassium voltage-gated channel subfamily Q member 1 overlapping transcript 1 (KCNQ1OT1) in DN. Blood samples were obtained from 33 DN patients and 30 healthy volunteers. Kidney biopsies tissues of DN patients (n = 10) and patients with normal kidney morphology (n = 10) were collected. We found that KCNQ1OT1 was markedly overexpressed in the blood and kidney biopsies tissues of DN patients, as well as in high glucose (HG)-cultured human glomerular mesangial (HGMC) cells. Knockdown of KCNQ1OT1 suppressed proliferation, extracellular matrix (ECM) accumulation, inflammation, and oxidative stress in HG-treated HGMC cells in vitro. KCNQ1OT1 functioned as a sponge for microRNA-147a (miR-147a), and SRY-Box Transcription Factor 6 (SOX6) was directly targeted by miR-147a. Downregulation of miR-147a or upregulation of SOX6 partly overturned the prohibitive effects of KCNQ1OT1 knockdown or miR-147a overexpression on proliferation, ECM accumulation, inflammation, and oxidative stress in HG-treated HGMC cells. Altogether, KCNQ1OT1 mediated the proliferation, ECM accumulation, inflammation, and oxidative stress in HG-treated HGMC cells via miR-147a/SOX6 axis, which might be a novel target for DN therapy.
    Keywords:  Diabetic nephropathy; KCNQ1OT1; Long non-coding RNAs (lncRNAs); SOX6; miR-147a
    DOI:  https://doi.org/10.1507/endocrj.EJ21-0514
  2. J Healthc Eng. 2021 ;2021 1090698
      Long noncoding RNAs (lncRNAs) exert an increasingly important effect on genome instability and the prognosis of cancer patients. The present research established a computational framework originating from the mutation assumption combining lncRNA expression profile and somatic mutation profile in the genome of renal cancer to assess the effect of lncRNAs on the gene instability of renal cancer. A total of 45 differentially expressed lncRNAs were evaluated to be genome-instability-associated from the high and low cumulative somatic mutations groups. Then we established a prognosis model based on three genome-instability-associated lncRNAs (AC156455.1, AC016405.3, and LINC01234)-GlncScore. The GlncScore was then verified in testing cohort and the total TCGA renal cancer cohort. The GlncScore was evaluated to have an accurate prediction for the survival of patients. Furthermore, GlncScore was associated with somatic mutation patterns, indicating its capacity of reflecting genome instability in renal cancer. In conclusion, this study evaluated the effect of lncRNAs on genome instability of renal cancer and provided new hidden cancer biomarkers related to genome instability in renal cancer.
    DOI:  https://doi.org/10.1155/2021/1090698