The Impact of lncRNAs in Diabetes Mellitus: A Systematic Review and In Silico Analyses

Long non-coding RNAs (lncRNAs) are non-coding transcripts that have emerged as one of the largest and diverse RNA families that regulate gene expression. Accumulating evidence has suggested a number of lncRNAs are involved in diabetes mellitus (DM) pathogenesis. However, results about lncRNA express...

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Main Authors: Cristine Dieter, Natália Emerim Lemos, Nathalia Rodrigues de Faria Corrêa, Taís Silveira Assmann, Daisy Crispim
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-03-01
Series:Frontiers in Endocrinology
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fendo.2021.602597/full
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spelling doaj-9aa6e373ec4e461f90f3687bb5c4e0842021-03-19T17:00:05ZengFrontiers Media S.A.Frontiers in Endocrinology1664-23922021-03-011210.3389/fendo.2021.602597602597The Impact of lncRNAs in Diabetes Mellitus: A Systematic Review and In Silico AnalysesCristine Dieter0Cristine Dieter1Natália Emerim Lemos2Nathalia Rodrigues de Faria Corrêa3Taís Silveira Assmann4Taís Silveira Assmann5Daisy Crispim6Daisy Crispim7Endocrine Division, Hospital de Clínicas de Porto Alegre, Porto Alegre, BrazilPost-Graduate Program in Medical Sciences: Endocrinology, Faculdade de Medicina, Universidade Federal do Rio Grande do Sul, Porto Alegre, BrazilEndocrine Division, Hospital de Clínicas de Porto Alegre, Porto Alegre, BrazilEndocrine Division, Hospital de Clínicas de Porto Alegre, Porto Alegre, BrazilEndocrine Division, Hospital de Clínicas de Porto Alegre, Porto Alegre, BrazilPost-Graduate Program in Medical Sciences: Endocrinology, Faculdade de Medicina, Universidade Federal do Rio Grande do Sul, Porto Alegre, BrazilEndocrine Division, Hospital de Clínicas de Porto Alegre, Porto Alegre, BrazilPost-Graduate Program in Medical Sciences: Endocrinology, Faculdade de Medicina, Universidade Federal do Rio Grande do Sul, Porto Alegre, BrazilLong non-coding RNAs (lncRNAs) are non-coding transcripts that have emerged as one of the largest and diverse RNA families that regulate gene expression. Accumulating evidence has suggested a number of lncRNAs are involved in diabetes mellitus (DM) pathogenesis. However, results about lncRNA expressions in DM patients are still inconclusive. Thus, we performed a systematic review of the literature on the subject followed by bioinformatics analyses to better understand which lncRNAs are dysregulated in DM and in which pathways they act. Pubmed, Embase, and Gene Expression Omnibus (GEO) repositories were searched to identify studies that investigated lncRNA expression in cases with DM and non-diabetic controls. LncRNAs consistently dysregulated in DM patients were submitted to bioinformatics analysis to retrieve their target genes and identify potentially affected signaling pathways under their regulation. Fifty-three eligible articles were included in this review after the application of the inclusion and exclusion criteria. Six hundred and thirty-eight lncRNAs were differentially expressed between cases and controls in at least one study. Among them, six lncRNAs were consistently dysregulated in patients with DM (Anril, Hotair, Malat1, Miat, Kcnq1ot1, and Meg3) compared to controls. Moreover, these six lncRNAs participate in several metabolism-related pathways, evidencing their importance in DM. This systematic review suggests six lncRNAs are dysregulated in DM, constituting potential biomarkers of this disease.https://www.frontiersin.org/articles/10.3389/fendo.2021.602597/fulllncRNAs (long non-coding RNAs)type 1 diabetes mellitus (DM1)type 2 diabetes mellitus (T2DM)systematic reviewtarget prediction
collection DOAJ
language English
format Article
sources DOAJ
author Cristine Dieter
Cristine Dieter
Natália Emerim Lemos
Nathalia Rodrigues de Faria Corrêa
Taís Silveira Assmann
Taís Silveira Assmann
Daisy Crispim
Daisy Crispim
spellingShingle Cristine Dieter
Cristine Dieter
Natália Emerim Lemos
Nathalia Rodrigues de Faria Corrêa
Taís Silveira Assmann
Taís Silveira Assmann
Daisy Crispim
Daisy Crispim
The Impact of lncRNAs in Diabetes Mellitus: A Systematic Review and In Silico Analyses
Frontiers in Endocrinology
lncRNAs (long non-coding RNAs)
type 1 diabetes mellitus (DM1)
type 2 diabetes mellitus (T2DM)
systematic review
target prediction
author_facet Cristine Dieter
Cristine Dieter
Natália Emerim Lemos
Nathalia Rodrigues de Faria Corrêa
Taís Silveira Assmann
Taís Silveira Assmann
Daisy Crispim
Daisy Crispim
author_sort Cristine Dieter
title The Impact of lncRNAs in Diabetes Mellitus: A Systematic Review and In Silico Analyses
title_short The Impact of lncRNAs in Diabetes Mellitus: A Systematic Review and In Silico Analyses
title_full The Impact of lncRNAs in Diabetes Mellitus: A Systematic Review and In Silico Analyses
title_fullStr The Impact of lncRNAs in Diabetes Mellitus: A Systematic Review and In Silico Analyses
title_full_unstemmed The Impact of lncRNAs in Diabetes Mellitus: A Systematic Review and In Silico Analyses
title_sort impact of lncrnas in diabetes mellitus: a systematic review and in silico analyses
publisher Frontiers Media S.A.
series Frontiers in Endocrinology
issn 1664-2392
publishDate 2021-03-01
description Long non-coding RNAs (lncRNAs) are non-coding transcripts that have emerged as one of the largest and diverse RNA families that regulate gene expression. Accumulating evidence has suggested a number of lncRNAs are involved in diabetes mellitus (DM) pathogenesis. However, results about lncRNA expressions in DM patients are still inconclusive. Thus, we performed a systematic review of the literature on the subject followed by bioinformatics analyses to better understand which lncRNAs are dysregulated in DM and in which pathways they act. Pubmed, Embase, and Gene Expression Omnibus (GEO) repositories were searched to identify studies that investigated lncRNA expression in cases with DM and non-diabetic controls. LncRNAs consistently dysregulated in DM patients were submitted to bioinformatics analysis to retrieve their target genes and identify potentially affected signaling pathways under their regulation. Fifty-three eligible articles were included in this review after the application of the inclusion and exclusion criteria. Six hundred and thirty-eight lncRNAs were differentially expressed between cases and controls in at least one study. Among them, six lncRNAs were consistently dysregulated in patients with DM (Anril, Hotair, Malat1, Miat, Kcnq1ot1, and Meg3) compared to controls. Moreover, these six lncRNAs participate in several metabolism-related pathways, evidencing their importance in DM. This systematic review suggests six lncRNAs are dysregulated in DM, constituting potential biomarkers of this disease.
topic lncRNAs (long non-coding RNAs)
type 1 diabetes mellitus (DM1)
type 2 diabetes mellitus (T2DM)
systematic review
target prediction
url https://www.frontiersin.org/articles/10.3389/fendo.2021.602597/full
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