Cargando…

Multi-level consistent changes of the ECM pathway identified in a typical keratoconus twin’s family by multi-omics analysis

BACKGROUND: Keratoconus (KC) is a common, degenerative disorder of the cornea, and genetic factors play a key role in its development. However, the genetic etiology of KC is still unclear. This study used the family of twins as material, using, for the first time, multi-omics analysis, to systematic...

Descripción completa

Detalles Bibliográficos
Autores principales: Hao, Xiao-dan, Chen, Xiu-nian, Zhang, Yang-yang, Chen, Peng, Wei, Chao, Shi, Wei-yun, Gao, Hua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7457807/
https://www.ncbi.nlm.nih.gov/pubmed/32867823
http://dx.doi.org/10.1186/s13023-020-01512-7
_version_ 1783576070421741568
author Hao, Xiao-dan
Chen, Xiu-nian
Zhang, Yang-yang
Chen, Peng
Wei, Chao
Shi, Wei-yun
Gao, Hua
author_facet Hao, Xiao-dan
Chen, Xiu-nian
Zhang, Yang-yang
Chen, Peng
Wei, Chao
Shi, Wei-yun
Gao, Hua
author_sort Hao, Xiao-dan
collection PubMed
description BACKGROUND: Keratoconus (KC) is a common, degenerative disorder of the cornea, and genetic factors play a key role in its development. However, the genetic etiology of KC is still unclear. This study used the family of twins as material, using, for the first time, multi-omics analysis, to systematically display the changes in KC candidate factors in patients at the DNA, RNA, and protein levels. These can evaluate candidate pathogenic factors in depth and lock onto pathogenic targets. RESULTS: The twins in this study presented classic phenotypes, clear diagnoses, complete case data, and clinical samples, which are excellent materials for genetically studying KC. Whole-exome sequencing was conducted on both the twins and their parents. Transcriptome sequencing was conducted on proband’s and health individual’s primary human corneal fibroblast cells. Quantitative Real-time PCR and western blot were used to validate the differential gene expressions between the proband and controls. By integrating genomics, transcriptome, and protein level data, multiple consecutive events of KC were systematically analyzed to help better understand the molecular mechanism and genetic basis of KC. The results showed that the accumulation of rare, micro-effect risk variants was the pathogenic factor in this Chinese KC family. Consistent changes in extracellular matrices (ECMs) at the DNA and RNA levels suggested that ECM related changes play a key role in KC pathogenesis. The major gene variants (WNT16, CD248, COL6A2, COL4A3 and ADAMTS3) may affect the expression of related collagens or ECM proteins, thus reducing the amount of ECM in corneas and resulting in KC. CONCLUSIONS: This study, the first to explore the genetic etiology of KC via multi-omics analysis under the polygenetic model, has provided new insights into the genetic mechanisms underlying KC and an effective strategy for studying KC pathogenesis in the future.
format Online
Article
Text
id pubmed-7457807
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-74578072020-09-02 Multi-level consistent changes of the ECM pathway identified in a typical keratoconus twin’s family by multi-omics analysis Hao, Xiao-dan Chen, Xiu-nian Zhang, Yang-yang Chen, Peng Wei, Chao Shi, Wei-yun Gao, Hua Orphanet J Rare Dis Research BACKGROUND: Keratoconus (KC) is a common, degenerative disorder of the cornea, and genetic factors play a key role in its development. However, the genetic etiology of KC is still unclear. This study used the family of twins as material, using, for the first time, multi-omics analysis, to systematically display the changes in KC candidate factors in patients at the DNA, RNA, and protein levels. These can evaluate candidate pathogenic factors in depth and lock onto pathogenic targets. RESULTS: The twins in this study presented classic phenotypes, clear diagnoses, complete case data, and clinical samples, which are excellent materials for genetically studying KC. Whole-exome sequencing was conducted on both the twins and their parents. Transcriptome sequencing was conducted on proband’s and health individual’s primary human corneal fibroblast cells. Quantitative Real-time PCR and western blot were used to validate the differential gene expressions between the proband and controls. By integrating genomics, transcriptome, and protein level data, multiple consecutive events of KC were systematically analyzed to help better understand the molecular mechanism and genetic basis of KC. The results showed that the accumulation of rare, micro-effect risk variants was the pathogenic factor in this Chinese KC family. Consistent changes in extracellular matrices (ECMs) at the DNA and RNA levels suggested that ECM related changes play a key role in KC pathogenesis. The major gene variants (WNT16, CD248, COL6A2, COL4A3 and ADAMTS3) may affect the expression of related collagens or ECM proteins, thus reducing the amount of ECM in corneas and resulting in KC. CONCLUSIONS: This study, the first to explore the genetic etiology of KC via multi-omics analysis under the polygenetic model, has provided new insights into the genetic mechanisms underlying KC and an effective strategy for studying KC pathogenesis in the future. BioMed Central 2020-08-31 /pmc/articles/PMC7457807/ /pubmed/32867823 http://dx.doi.org/10.1186/s13023-020-01512-7 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Hao, Xiao-dan
Chen, Xiu-nian
Zhang, Yang-yang
Chen, Peng
Wei, Chao
Shi, Wei-yun
Gao, Hua
Multi-level consistent changes of the ECM pathway identified in a typical keratoconus twin’s family by multi-omics analysis
title Multi-level consistent changes of the ECM pathway identified in a typical keratoconus twin’s family by multi-omics analysis
title_full Multi-level consistent changes of the ECM pathway identified in a typical keratoconus twin’s family by multi-omics analysis
title_fullStr Multi-level consistent changes of the ECM pathway identified in a typical keratoconus twin’s family by multi-omics analysis
title_full_unstemmed Multi-level consistent changes of the ECM pathway identified in a typical keratoconus twin’s family by multi-omics analysis
title_short Multi-level consistent changes of the ECM pathway identified in a typical keratoconus twin’s family by multi-omics analysis
title_sort multi-level consistent changes of the ecm pathway identified in a typical keratoconus twin’s family by multi-omics analysis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7457807/
https://www.ncbi.nlm.nih.gov/pubmed/32867823
http://dx.doi.org/10.1186/s13023-020-01512-7
work_keys_str_mv AT haoxiaodan multilevelconsistentchangesoftheecmpathwayidentifiedinatypicalkeratoconustwinsfamilybymultiomicsanalysis
AT chenxiunian multilevelconsistentchangesoftheecmpathwayidentifiedinatypicalkeratoconustwinsfamilybymultiomicsanalysis
AT zhangyangyang multilevelconsistentchangesoftheecmpathwayidentifiedinatypicalkeratoconustwinsfamilybymultiomicsanalysis
AT chenpeng multilevelconsistentchangesoftheecmpathwayidentifiedinatypicalkeratoconustwinsfamilybymultiomicsanalysis
AT weichao multilevelconsistentchangesoftheecmpathwayidentifiedinatypicalkeratoconustwinsfamilybymultiomicsanalysis
AT shiweiyun multilevelconsistentchangesoftheecmpathwayidentifiedinatypicalkeratoconustwinsfamilybymultiomicsanalysis
AT gaohua multilevelconsistentchangesoftheecmpathwayidentifiedinatypicalkeratoconustwinsfamilybymultiomicsanalysis