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Identification of DAPK1 as an autophagy-related biomarker for myotonic dystrophy type 1

Myotonic dystrophy type I (DM1), a CTG repeat expansion hereditary disorder, is primarily characterized by myotonia. Several studies have reported that abnormal autophagy pathway has a close relationship with DM1. However, the underlying key regulatory molecules dictating autophagy disturbance still...

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Autores principales: Hu, Min, Ge, Meng-Ru, Li, Hong-Xia, Zhang, Bei, Li, Gang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9634726/
https://www.ncbi.nlm.nih.gov/pubmed/36338967
http://dx.doi.org/10.3389/fgene.2022.1022640
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author Hu, Min
Ge, Meng-Ru
Li, Hong-Xia
Zhang, Bei
Li, Gang
author_facet Hu, Min
Ge, Meng-Ru
Li, Hong-Xia
Zhang, Bei
Li, Gang
author_sort Hu, Min
collection PubMed
description Myotonic dystrophy type I (DM1), a CTG repeat expansion hereditary disorder, is primarily characterized by myotonia. Several studies have reported that abnormal autophagy pathway has a close relationship with DM1. However, the underlying key regulatory molecules dictating autophagy disturbance still remains elusive. Previous studies mainly focused on finding targeted therapies for DM1, but the clinical heterogeneity of the DM1 is rarely addressed. Herein, to identify potential regulator genes related to autophagy and cross-correlation among clinical symptoms, we performed weighted gene co-expression network analysis (WGCNA) to construct the co-expression network and screened out 7 core autophagy-related genes (DAPK1, KLHL4, ERBB3, SESN3, ATF4, MEG3, and COL1A1) by overlapping within differentially expressed genes (DEG), cytoHubba, gene significance (GS) and module membership (MM) score. Meanwhile, we here analyzed autophagy-related molecular subtypes of DM1 in relation to the clinical phenotype. Our results show that three genes (DAPK1, SESN3, and MEG3) contribute to distinguish these two molecular subtypes of DM1. We then develop an analysis of RNA-seq data from six human skin fibroblasts (3 DM1, 3 healthy donors). Intriguingly, of the 7 hallmark genes obtained, DAPK1 is the only confirmed gene, and finally identified in vitro by RT-PCR. Furthermore, we assessed the DAPK1 accuracy diagnosis of DM1 by plotting a receiver operating characteristic curve (ROC) (AUC = 0.965). In this study, we first validated autophagy status of DM1 individuals exhibits a clearly heterogeneity. Our study identified and validated DAPK1 serve as a novel autophagy-related biomarker that correlate with the progression of DM1.
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spelling pubmed-96347262022-11-05 Identification of DAPK1 as an autophagy-related biomarker for myotonic dystrophy type 1 Hu, Min Ge, Meng-Ru Li, Hong-Xia Zhang, Bei Li, Gang Front Genet Genetics Myotonic dystrophy type I (DM1), a CTG repeat expansion hereditary disorder, is primarily characterized by myotonia. Several studies have reported that abnormal autophagy pathway has a close relationship with DM1. However, the underlying key regulatory molecules dictating autophagy disturbance still remains elusive. Previous studies mainly focused on finding targeted therapies for DM1, but the clinical heterogeneity of the DM1 is rarely addressed. Herein, to identify potential regulator genes related to autophagy and cross-correlation among clinical symptoms, we performed weighted gene co-expression network analysis (WGCNA) to construct the co-expression network and screened out 7 core autophagy-related genes (DAPK1, KLHL4, ERBB3, SESN3, ATF4, MEG3, and COL1A1) by overlapping within differentially expressed genes (DEG), cytoHubba, gene significance (GS) and module membership (MM) score. Meanwhile, we here analyzed autophagy-related molecular subtypes of DM1 in relation to the clinical phenotype. Our results show that three genes (DAPK1, SESN3, and MEG3) contribute to distinguish these two molecular subtypes of DM1. We then develop an analysis of RNA-seq data from six human skin fibroblasts (3 DM1, 3 healthy donors). Intriguingly, of the 7 hallmark genes obtained, DAPK1 is the only confirmed gene, and finally identified in vitro by RT-PCR. Furthermore, we assessed the DAPK1 accuracy diagnosis of DM1 by plotting a receiver operating characteristic curve (ROC) (AUC = 0.965). In this study, we first validated autophagy status of DM1 individuals exhibits a clearly heterogeneity. Our study identified and validated DAPK1 serve as a novel autophagy-related biomarker that correlate with the progression of DM1. Frontiers Media S.A. 2022-10-20 /pmc/articles/PMC9634726/ /pubmed/36338967 http://dx.doi.org/10.3389/fgene.2022.1022640 Text en Copyright © 2022 Hu, Ge, Li, Zhang and Li. https://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 Genetics
Hu, Min
Ge, Meng-Ru
Li, Hong-Xia
Zhang, Bei
Li, Gang
Identification of DAPK1 as an autophagy-related biomarker for myotonic dystrophy type 1
title Identification of DAPK1 as an autophagy-related biomarker for myotonic dystrophy type 1
title_full Identification of DAPK1 as an autophagy-related biomarker for myotonic dystrophy type 1
title_fullStr Identification of DAPK1 as an autophagy-related biomarker for myotonic dystrophy type 1
title_full_unstemmed Identification of DAPK1 as an autophagy-related biomarker for myotonic dystrophy type 1
title_short Identification of DAPK1 as an autophagy-related biomarker for myotonic dystrophy type 1
title_sort identification of dapk1 as an autophagy-related biomarker for myotonic dystrophy type 1
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9634726/
https://www.ncbi.nlm.nih.gov/pubmed/36338967
http://dx.doi.org/10.3389/fgene.2022.1022640
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