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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8018579/ https://www.ncbi.nlm.nih.gov/pubmed/33815273 http://dx.doi.org/10.3389/fendo.2021.602597 |
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author | Dieter, Cristine Lemos, Natália Emerim Corrêa, Nathalia Rodrigues de Faria Assmann, Taís Silveira Crispim, Daisy |
author_facet | Dieter, Cristine Lemos, Natália Emerim Corrêa, Nathalia Rodrigues de Faria Assmann, Taís Silveira Crispim, Daisy |
author_sort | Dieter, Cristine |
collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-8018579 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-80185792021-04-03 The Impact of lncRNAs in Diabetes Mellitus: A Systematic Review and In Silico Analyses Dieter, Cristine Lemos, Natália Emerim Corrêa, Nathalia Rodrigues de Faria Assmann, Taís Silveira Crispim, Daisy Front Endocrinol (Lausanne) Endocrinology 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. Frontiers Media S.A. 2021-03-19 /pmc/articles/PMC8018579/ /pubmed/33815273 http://dx.doi.org/10.3389/fendo.2021.602597 Text en Copyright © 2021 Dieter, Lemos, Corrêa, Assmann and Crispim http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Endocrinology Dieter, Cristine Lemos, Natália Emerim Corrêa, Nathalia Rodrigues de Faria Assmann, Taís Silveira Crispim, Daisy The Impact of lncRNAs in Diabetes Mellitus: A Systematic Review and In Silico Analyses |
title | 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_short | 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 |
topic | Endocrinology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8018579/ https://www.ncbi.nlm.nih.gov/pubmed/33815273 http://dx.doi.org/10.3389/fendo.2021.602597 |
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