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Scientific reports2017; 7; 43558; doi: 10.1038/srep43558

Serum snoRNAs as biomarkers for joint ageing and post traumatic osteoarthritis.

Abstract: The development of effective treatments for the age-related disease osteoarthritis and the ability to predict disease progression has been hampered by the lack of biomarkers able to demonstrate the course of the disease. Profiling the expression patterns of small nucleolar RNAs (snoRNAs) in joint ageing and OA may provide diagnostic biomarkers and therapeutic targets. This study determined expression patterns of snoRNAs in joint ageing and OA and examined them as potential biomarkers. Using SnoRNASeq and real-time quantitative PCR (qRT-PCR) we demonstrate snoRNA expression levels in murine ageing and OA joints and serum for the first time. SnoRNASeq identified differential expression (DE) of 6 snoRNAs in young versus old joints and 5 snoRNAs in old sham versus old experimental osteoarthritic joints. In serum we found differential presence of 27 snoRNAs in young versus old serum and 18 snoRNAs in old sham versus old experimental osteoarthritic serum. Confirmatory qRT-PCR analysis demonstrated good correlation with SnoRNASeq findings. Profiling the expression patterns of snoRNAs is the initial step in determining their functional significance in ageing and osteoarthritis, and provides potential diagnostic biomarkers and therapeutic targets. Our results establish snoRNAs as novel markers of musculoskeletal ageing and osteoarthritis.
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Publication Date: 2017-03-02 PubMed ID: 28252005PubMed Central: PMC5333149DOI: 10.1038/srep43558Google Scholar: Lookup
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  • Journal Article
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  • Non-U.S. Gov't

Summary

This research summary has been generated with artificial intelligence and may contain errors and omissions. Refer to the original study to confirm details provided. Submit correction.

This research paper investigates the potential of small nucleolar RNAs (snoRNAs) as biomarkers in the diagnosis of age-related osteoarthritis and joint aging. The findings present snoRNAs as novel markers in the realm of musculoskeletal aging and osteoarthritis, indicating potential for both diagnosis and treatment strategies.

Understanding the Research

This research study primarily focuses on:

  • The potential of small nucleolar RNAs (snoRNAs) in understanding and predicting the progression of osteoarthritis, a common age-related disease, and joint aging.
  • The exploration and profiling of snoRNAs expression patterns, which may offer crucial insights into osteoarthritis and joint aging progression.
  • The exploration of snoRNAs as potential therapeutic targets, apart from their predictive and diagnostic capacity.

Methodology

The methodologies implemented in this research included:

  • Use of SnoRNASeq and real-time quantitative PCR (qRT-PCR) to uncover snoRNA expression levels in mouse joints and serum, both in aging conditions and osteoarthritis.
  • Identification of differentially expressed snoRNAs in young versus old joints, and in old sham versus old experimental osteoarthritic joints.
  • Analysis of snoRNAs’ presence in serum samples obtained from both young and old subjects, and old sham versus old experimental osteoarthritic subjects.

Results and Findings

The primary findings of the study were:

  • Through SnoRNASeq, differential expression of 6 snoRNAs was found in young versus old joints and 5 snoRNAs in old sham versus old experimental osteoarthritic joints, which were then confirmed by qRT-PCR analysis for correlation.
  • In the serum samples, 27 snoRNAs displayed different presence in young versus old serum whereas 18 snoRNAs were found to be different in old sham versus old experimental osteoarthritic serum.
  • These results provide evidence of snoRNAs as potential biomarkers for aging and osteoarthritis in musculoskeletal tissues.

Implications and Conclusions

This research brings about critical implications and conclusions:

  • Profiling the expression patterns of snoRNAs is the first step towards understanding their functional significance in aging and osteoarthritis.
  • The study presents snoRNAs as potential diagnostic biomarkers and therapeutic targets, supporting the development of effective treatments for osteoarthritis and joint aging.
  • This result might lead to advancements in personalized medicine, given that understanding individual genetic expression and variations can provide a more precise diagnosis and treatment approach.

Cite This Article

APA
Steinbusch MM, Fang Y, Milner PI, Clegg PD, Young DA, Welting TJ, Peffers MJ. (2017). Serum snoRNAs as biomarkers for joint ageing and post traumatic osteoarthritis. Sci Rep, 7, 43558. https://doi.org/10.1038/srep43558

Publication

Scientific reports
ISSN: 2045-2322
NlmUniqueID: 101563288
Country: England
Language: English
Volume: 7
Pages: 43558
PII: 43558

Researcher Affiliations

Steinbusch, Mandy M F
  • Department of Orthopedic Surgery, Caphri School for Public Health and Primary Care, Maastricht University Medical Center, Maastricht, the Netherlands.
Fang, Yongxiang
  • Centre for Genomic Research, Institute of Integrative Biology, Biosciences Building, Crown Street, University of Liverpool, Liverpool L69 7ZB, UK.
Milner, Peter I
  • Institute of Ageing and Chronic Disease, University of Liverpool, Apex Building, 6 West Derby Street, Liverpool, L7 9TX, UK.
Clegg, Peter D
  • Institute of Ageing and Chronic Disease, University of Liverpool, Apex Building, 6 West Derby Street, Liverpool, L7 9TX, UK.
Young, David A
  • Musculoskeletal Research Group, Newcastle University, Newcastle upon Tyne NE2 4HH, UK.
Welting, Tim J M
  • Department of Orthopedic Surgery, Caphri School for Public Health and Primary Care, Maastricht University Medical Center, Maastricht, the Netherlands.
Peffers, Mandy J
  • Institute of Ageing and Chronic Disease, University of Liverpool, Apex Building, 6 West Derby Street, Liverpool, L7 9TX, UK.

MeSH Terms

  • Animals
  • Biomarkers
  • Cell-Free Nucleic Acids
  • Gene Expression Profiling
  • Horses
  • Joints / pathology
  • Male
  • Mice
  • Osteoarthritis / blood
  • Osteoarthritis / etiology
  • RNA, Small Nucleolar / blood
  • RNA, Small Nucleolar / genetics
  • Real-Time Polymerase Chain Reaction
  • Reproducibility of Results
  • Transcriptome

Grant Funding

  • 19424 / Versus Arthritis
  • 107471/Z/15/Z / Wellcome Trust
  • MR/K006312/1 / Medical Research Council
  • Arthritis Research UK
  • R476/0516 / The Dunhill Medical Trust

Conflict of Interest Statement

The authors declare no competing financial interests.

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