Evidence map›Paper›PMID 28252005›Full record

ArticleScientific reports2017

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

Mandy M F Steinbusch, Yongxiang Fang, Peter I Milner, Peter D Clegg, David A Young, Tim J M Welting, Mandy J Peffers

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 1 pooled it
5.3field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

38 citing papers in PubMed, 1 synthesis or guideline pooled it, 55 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. snoCLASH Reveals Extensive snoRNA-mRNA Interaction Networks.bioRxiv : the preprint server for biology · 2025
    Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. Review
  15. Article
  16. Age-related Differences in the Nasal Mucosal Immune Response to SARS-CoV-2.American journal of respiratory cell and molecular biology · 2022
    Article
  17. Article
  18. Ribosome dysfunction in osteoarthritis.Current opinion in rheumatology · 2022
    Review
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 2 countries.

Mandy M F SteinbuschDepartment of Orthopedic Surgery, Caphri School for Public Health and Primary Care, Maastricht University Medical Center, Maastricht, the Netherlands.
Yongxiang FangCentre for Genomic Research, Institute of Integrative Biology, Biosciences Building, Crown Street, University of Liverpool, Liverpool L69 7ZB, UK.
Peter I MilnerInstitute of Ageing and Chronic Disease, University of Liverpool, Apex Building, 6 West Derby Street, Liverpool, L7 9TX, UK.
Peter D CleggInstitute of Ageing and Chronic Disease, University of Liverpool, Apex Building, 6 West Derby Street, Liverpool, L7 9TX, UK.
David A YoungMusculoskeletal Research Group, Newcastle University, Newcastle upon Tyne NE2 4HH, UK.
Tim J M WeltingDepartment of Orthopedic Surgery, Caphri School for Public Health and Primary Care, Maastricht University Medical Center, Maastricht, the Netherlands.
Mandy J PeffersInstitute of Ageing and Chronic Disease, University of Liverpool, Apex Building, 6 West Derby Street, Liverpool, L7 9TX, UK.
University of Liverpool · GBMaastricht University · NLNewcastle University · GB

Funding

Arthritis Research UKMedical Research Council MR/K006312/1The Dunhill Medical Trust R476/0516Versus Arthritis 19424Wellcome Trust 107471/Z/15/Z
6 · The paper itself

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.

Indexed as

Cell-Free Nucleic AcidsJointsAnimalsBiomarkersGene Expression ProfilingHorsesMaleMiceOsteoarthritisReal-Time Polymerase Chain ReactionReproducibility of ResultsRNA, Small NucleolarTranscriptomeBiomarkersCell-Free Nucleic AcidsRNA, Small Nucleolar

Identifiers

PMID28252005
PMCPMC5333149
OpenAlexW2592645432

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.