Cargando…

A Pilot Analysis of Genome‐Wide DNA Methylation Patterns in Mouse Cartilage Reveals Overlapping Epigenetic Signatures of Aging and Osteoarthritis

OBJECTIVE: Cartilage epigenetic changes are strongly associated with human osteoarthritis (OA). However, the influence of individual environmental OA risk factors on these epigenetic patterns has not been determined; herein we characterize cartilage DNA methylation patterns associated with aging and...

Descripción completa

Detalles Bibliográficos
Autores principales: Izda, Vladislav, Dunn, Christopher M., Prinz, Emmaline, Schlupp, Leoni, Nguyen, Emily, Sturdy, Cassandra, Jeffries, Matlock A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wiley Periodicals, Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9746664/
https://www.ncbi.nlm.nih.gov/pubmed/36253145
http://dx.doi.org/10.1002/acr2.11506
_version_ 1784849414613893120
author Izda, Vladislav
Dunn, Christopher M.
Prinz, Emmaline
Schlupp, Leoni
Nguyen, Emily
Sturdy, Cassandra
Jeffries, Matlock A.
author_facet Izda, Vladislav
Dunn, Christopher M.
Prinz, Emmaline
Schlupp, Leoni
Nguyen, Emily
Sturdy, Cassandra
Jeffries, Matlock A.
author_sort Izda, Vladislav
collection PubMed
description OBJECTIVE: Cartilage epigenetic changes are strongly associated with human osteoarthritis (OA). However, the influence of individual environmental OA risk factors on these epigenetic patterns has not been determined; herein we characterize cartilage DNA methylation patterns associated with aging and OA in a mouse model. METHODS: Murine knee cartilage DNA was extracted from healthy young (16‐week, n = 6), old (82‐week, n = 6), and young 4‐week post–destabilization of the medial meniscus (DMM) OA (n = 6) C57BL6/J mice. Genome‐wide DNA methylation patterns were determined via Illumina BeadChip. Gene set enrichment analysis was performed by Ingenuity Pathway Analysis. The top seven most differentially methylated positions (DMPs) were confirmed by pyrosequencing in an independent animal set. Results were compared to previously published human OA methylation data. RESULTS: Aging was associated with 20,940 DMPs, whereas OA was associated with 761 DMPs. Merging these two conditions revealed 279 shared DMPs. All demonstrated similar directionality and magnitude of change (Δβ 1.0% ± 0.2%, mean methylation change ± SEM). Shared DMPs were enriched in OA‐associated pathways, including RhoA signaling (P = 1.57 × 10(−4)), protein kinase A signaling (P = 3.38 × 10(−4)), and NFAT signaling (P = 6.14 × 10(−4)). Upstream regulators, including TET3 (P = 6.15 × 10(−4)), immunoglobulin (P = 6.14 × 10(−4)), and TLR7 (P = 7.53 × 10(−4)), were also enriched. Pyrosequencing confirmed six of the seven top DMPs in an independent cohort. CONCLUSION: Aging and early OA following DMM surgery induce similar DNA methylation changes within a murine OA model, suggesting that aging may induce pro‐OA epigenetic “poising” within articular cartilage. Future research should focus on confirming and expanding these findings to other environmental OA risk factors, including obesity, as well as determining late OA changes in mice.
format Online
Article
Text
id pubmed-9746664
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Wiley Periodicals, Inc.
record_format MEDLINE/PubMed
spelling pubmed-97466642022-12-14 A Pilot Analysis of Genome‐Wide DNA Methylation Patterns in Mouse Cartilage Reveals Overlapping Epigenetic Signatures of Aging and Osteoarthritis Izda, Vladislav Dunn, Christopher M. Prinz, Emmaline Schlupp, Leoni Nguyen, Emily Sturdy, Cassandra Jeffries, Matlock A. ACR Open Rheumatol Brief Report OBJECTIVE: Cartilage epigenetic changes are strongly associated with human osteoarthritis (OA). However, the influence of individual environmental OA risk factors on these epigenetic patterns has not been determined; herein we characterize cartilage DNA methylation patterns associated with aging and OA in a mouse model. METHODS: Murine knee cartilage DNA was extracted from healthy young (16‐week, n = 6), old (82‐week, n = 6), and young 4‐week post–destabilization of the medial meniscus (DMM) OA (n = 6) C57BL6/J mice. Genome‐wide DNA methylation patterns were determined via Illumina BeadChip. Gene set enrichment analysis was performed by Ingenuity Pathway Analysis. The top seven most differentially methylated positions (DMPs) were confirmed by pyrosequencing in an independent animal set. Results were compared to previously published human OA methylation data. RESULTS: Aging was associated with 20,940 DMPs, whereas OA was associated with 761 DMPs. Merging these two conditions revealed 279 shared DMPs. All demonstrated similar directionality and magnitude of change (Δβ 1.0% ± 0.2%, mean methylation change ± SEM). Shared DMPs were enriched in OA‐associated pathways, including RhoA signaling (P = 1.57 × 10(−4)), protein kinase A signaling (P = 3.38 × 10(−4)), and NFAT signaling (P = 6.14 × 10(−4)). Upstream regulators, including TET3 (P = 6.15 × 10(−4)), immunoglobulin (P = 6.14 × 10(−4)), and TLR7 (P = 7.53 × 10(−4)), were also enriched. Pyrosequencing confirmed six of the seven top DMPs in an independent cohort. CONCLUSION: Aging and early OA following DMM surgery induce similar DNA methylation changes within a murine OA model, suggesting that aging may induce pro‐OA epigenetic “poising” within articular cartilage. Future research should focus on confirming and expanding these findings to other environmental OA risk factors, including obesity, as well as determining late OA changes in mice. Wiley Periodicals, Inc. 2022-10-17 /pmc/articles/PMC9746664/ /pubmed/36253145 http://dx.doi.org/10.1002/acr2.11506 Text en © 2022 The Authors. ACR Open Rheumatology published by Wiley Periodicals LLC on behalf of American College of Rheumatology. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Brief Report
Izda, Vladislav
Dunn, Christopher M.
Prinz, Emmaline
Schlupp, Leoni
Nguyen, Emily
Sturdy, Cassandra
Jeffries, Matlock A.
A Pilot Analysis of Genome‐Wide DNA Methylation Patterns in Mouse Cartilage Reveals Overlapping Epigenetic Signatures of Aging and Osteoarthritis
title A Pilot Analysis of Genome‐Wide DNA Methylation Patterns in Mouse Cartilage Reveals Overlapping Epigenetic Signatures of Aging and Osteoarthritis
title_full A Pilot Analysis of Genome‐Wide DNA Methylation Patterns in Mouse Cartilage Reveals Overlapping Epigenetic Signatures of Aging and Osteoarthritis
title_fullStr A Pilot Analysis of Genome‐Wide DNA Methylation Patterns in Mouse Cartilage Reveals Overlapping Epigenetic Signatures of Aging and Osteoarthritis
title_full_unstemmed A Pilot Analysis of Genome‐Wide DNA Methylation Patterns in Mouse Cartilage Reveals Overlapping Epigenetic Signatures of Aging and Osteoarthritis
title_short A Pilot Analysis of Genome‐Wide DNA Methylation Patterns in Mouse Cartilage Reveals Overlapping Epigenetic Signatures of Aging and Osteoarthritis
title_sort pilot analysis of genome‐wide dna methylation patterns in mouse cartilage reveals overlapping epigenetic signatures of aging and osteoarthritis
topic Brief Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9746664/
https://www.ncbi.nlm.nih.gov/pubmed/36253145
http://dx.doi.org/10.1002/acr2.11506
work_keys_str_mv AT izdavladislav apilotanalysisofgenomewidednamethylationpatternsinmousecartilagerevealsoverlappingepigeneticsignaturesofagingandosteoarthritis
AT dunnchristopherm apilotanalysisofgenomewidednamethylationpatternsinmousecartilagerevealsoverlappingepigeneticsignaturesofagingandosteoarthritis
AT prinzemmaline apilotanalysisofgenomewidednamethylationpatternsinmousecartilagerevealsoverlappingepigeneticsignaturesofagingandosteoarthritis
AT schluppleoni apilotanalysisofgenomewidednamethylationpatternsinmousecartilagerevealsoverlappingepigeneticsignaturesofagingandosteoarthritis
AT nguyenemily apilotanalysisofgenomewidednamethylationpatternsinmousecartilagerevealsoverlappingepigeneticsignaturesofagingandosteoarthritis
AT sturdycassandra apilotanalysisofgenomewidednamethylationpatternsinmousecartilagerevealsoverlappingepigeneticsignaturesofagingandosteoarthritis
AT jeffriesmatlocka apilotanalysisofgenomewidednamethylationpatternsinmousecartilagerevealsoverlappingepigeneticsignaturesofagingandosteoarthritis
AT izdavladislav pilotanalysisofgenomewidednamethylationpatternsinmousecartilagerevealsoverlappingepigeneticsignaturesofagingandosteoarthritis
AT dunnchristopherm pilotanalysisofgenomewidednamethylationpatternsinmousecartilagerevealsoverlappingepigeneticsignaturesofagingandosteoarthritis
AT prinzemmaline pilotanalysisofgenomewidednamethylationpatternsinmousecartilagerevealsoverlappingepigeneticsignaturesofagingandosteoarthritis
AT schluppleoni pilotanalysisofgenomewidednamethylationpatternsinmousecartilagerevealsoverlappingepigeneticsignaturesofagingandosteoarthritis
AT nguyenemily pilotanalysisofgenomewidednamethylationpatternsinmousecartilagerevealsoverlappingepigeneticsignaturesofagingandosteoarthritis
AT sturdycassandra pilotanalysisofgenomewidednamethylationpatternsinmousecartilagerevealsoverlappingepigeneticsignaturesofagingandosteoarthritis
AT jeffriesmatlocka pilotanalysisofgenomewidednamethylationpatternsinmousecartilagerevealsoverlappingepigeneticsignaturesofagingandosteoarthritis