Literature DB >> 30270667

Long non-coding RNA MALAT1 and microRNA-499a expression profiles in diabetic ESRD patients undergoing dialysis: a preliminary cross-sectional analysis.

Manal S Fawzy1,2, Baraah T Abu AlSel3, Essam Al Ageeli4, Saeed Awad Al-Qahtani5, Mohamed M Abdel-Daim6, Eman A Toraih7,8.   

Abstract

Background: Circulating non-coding RNAs (ncRNAs) have been implicated in health and disease. This study aimed to evaluate the serum expression profile of microRNA-499a (miR-499a) and its selected bioinformatically predicted partner long-ncRNA MALAT1 (metastasis-associated lung adenocarcinoma transcript 1) in diabetes-related end-stage renal disease (ESRD) patients and to correlate the expressions with the patients' clinicolaboratory data.Subjects and methods: Real-time quantitative polymerase chain reaction was applied in diabetics with and without ESRD (n = 90 for each).
Results: Serum MALAT1 expression levels were increased in the ESRD group relative to diabetics without ESRD with median (quartile) values of 10.5 (1.41-126.7) (p < .001). However, miR-499a levels were decreased in more than half of ESRD patients with a median of 0.96 (0.13-3.14). Both MALAT1 and miR-499a expression levels were inversely correlated in the ESRD patient-group.Conclusions: MALAT1 up-regulation and miR-499 down-regulation might be involved in diabetic nephropathy-related ESRD pathogenesis. Functional validation studies are warranted to confirm the MALAT1/miR-499a partnership.

Entities:  

Keywords:  End-stage renal disease; MALAT1; gene expression; miR-499a; qRT-PCR

Mesh:

Substances:

Year:  2018        PMID: 30270667     DOI: 10.1080/13813455.2018.1499119

Source DB:  PubMed          Journal:  Arch Physiol Biochem        ISSN: 1381-3455            Impact factor:   4.076


  9 in total

1.  Deciphering the role of circulating lncRNAs: RNCR2, NEAT2, CDKN2B-AS1, and PVT1 and the possible prediction of anti-VEGF treatment outcomes in diabetic retinopathy patients.

Authors:  Eman A Toraih; Ahmed A Abdelghany; Noha M Abd El Fadeal; Essam Al Ageeli; Manal S Fawzy
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2019-07-20       Impact factor: 3.117

2.  Long Non-Coding RNAs Gene Variants as Molecular Markers for Diabetic Retinopathy Risk and Response to Anti-VEGF Therapy.

Authors:  Hala M F Mohammad; Ahmed A Abdelghany; Essam Al Ageeli; Shahad W Kattan; Ranya Hassan; Eman A Toraih; Manal S Fawzy; Naglaa Mokhtar
Journal:  Pharmgenomics Pers Med       Date:  2021-08-14

Review 3.  Long non-coding small nucleolar RNA host genes in digestive cancers.

Authors:  Huan Yang; Zheng Jiang; Shuang Wang; Yongbing Zhao; Xiaomei Song; Yufeng Xiao; Shiming Yang
Journal:  Cancer Med       Date:  2019-11-06       Impact factor: 4.452

4.  MicroRNA-499a (rs3746444A/G) gene variant and susceptibility to type 2 diabetes-associated end-stage renal disease.

Authors:  Manal S Fawzy; Essam Al Ageeli; Saeed Awad Al-Qahtani; Baraah T Abu Alsel; Shahad W Kattan; Walla Alelwani; Eman A Toraih
Journal:  Exp Ther Med       Date:  2021-11-22       Impact factor: 2.447

Review 5.  The Impact of lncRNA on Diabetic Kidney Disease: Systematic Review and In Silico Analyses.

Authors:  Yunyun Zhao; Guanchi Yan; Jia Mi; Guoqiang Wang; Miao Yu; Di Jin; Xiaolin Tong; Xiuge Wang
Journal:  Comput Intell Neurosci       Date:  2022-04-27

6.  Hyperoside Protects HK-2 Cells Against High Glucose-Induced Apoptosis and Inflammation via the miR-499a-5p/NRIP1 Pathway.

Authors:  Jingbo Zhou; Shu Zhang; Xinyi Sun; Yan Lou; Jiangyi Yu
Journal:  Pathol Oncol Res       Date:  2021-04-14       Impact factor: 3.201

Review 7.  Non-Coding RNAs as Potential Novel Biomarkers for Early Diagnosis of Hepatic Insulin Resistance.

Authors:  Ariadna Pielok; Krzysztof Marycz
Journal:  Int J Mol Sci       Date:  2020-06-11       Impact factor: 5.923

Review 8.  Interactions Among Non-Coding RNAs in Diabetic Nephropathy.

Authors:  Tamil Selvi Loganathan; Siti Aishah Sulaiman; Nor Azian Abdul Murad; Shamsul Azhar Shah; Abdul Halim Abdul Gafor; Rahman Jamal; Noraidatulakma Abdullah
Journal:  Front Pharmacol       Date:  2020-03-03       Impact factor: 5.810

9.  Analysis of microRNA processing machinery gene (DROSHA, DICER1, RAN, and XPO5) variants association with end-stage renal disease.

Authors:  Manal S Fawzy; Baraah T Abu AlSel; Eman A Toraih
Journal:  J Clin Lab Anal       Date:  2020-08-07       Impact factor: 3.124

  9 in total

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