Evidence map›Paper›PMID 24533825›Full record

ArticleClinical proteomics2014

Proteomic analysis of human osteoarthritis synovial fluid.

Lavanya Balakrishnan, Raja Sekhar Nirujogi, Sartaj Ahmad, Mitali Bhattacharjee, Srikanth S Manda, Santosh Renuse, Dhanashree S Kelkar, Yashwanth Subbannayya, Rajesh Raju, Renu Goel and 13 more

Open access · goldAbstract read
In one paragraph

Article in Clinical proteomics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 78 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
78citing papers in PubMed, 2 pooled it
9.7field-weighted citation impact, top 1% 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

78 citing papers in PubMed, 2 syntheses or guidelines pooled it, 148 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Depletion ofInternational journal of molecular sciences · 2023
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

18 more citing papers are in PubMed but not listed here.

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

23 authors at 11 institutions in 3 countries.

Lavanya Balakrishnan
Raja Sekhar Nirujogi
Sartaj Ahmad
Mitali Bhattacharjee
Srikanth S Manda
Santosh Renuse
Dhanashree S Kelkar
Yashwanth Subbannayya
Rajesh Raju
Renu Goel
Joji Kurian Thomas
Navjyot Kaur
Mukesh Dhillon
Shantal Gupta Tankala
Ramesh Jois
Vivek Vasdev
Yl Ramachandra
Nandini A Sahasrabuddhe
Ts Keshava Prasad
Sujatha Mohan
Harsha Gowda
Subramanian ShankarDepartment of Internal Medicine, Armed Forces Medical College, Pune, Maharashtra 411040, India. shankarsid@gmail.com.
Akhilesh Pandey
Institute of Bioinformatics · INArmed Forces Medical College · INAmrita Vishwa Vidyapeetham · INKuvempu University · INManipal Academy of Higher Education · INAmrita Institute of Medical Sciences and Research Centre · INCommand Hospital Air Force · INFortis Hospital · INJohns Hopkins Medicine · USRajiv Gandhi University of Health Sciences · INRIKEN Center for Integrative Medical Sciences · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOsteoarthritis is a chronic musculoskeletal disorder characterized mainly by progressive degradation of the hyaline cartilage. Patients with osteoarthritis often postpone seeking medical help, which results in the diagnosis being made at an advanced stage of cartilage destruction. Sustained efforts are needed to identify specific markers that might help in early diagnosis, monitoring disease progression and in improving therapeutic outcomes. We employed a multipronged proteomic approach, which included multiple fractionation strategies followed by high resolution mass spectrometry analysis to explore the proteome of synovial fluid obtained from osteoarthritis patients. In addition to the total proteome, we also enriched glycoproteins from synovial fluid using lectin affinity chromatography.

resultsWe identified 677 proteins from synovial fluid of patients with osteoarthritis of which 545 proteins have not been previously reported. These novel proteins included ADAM-like decysin 1 (ADAMDEC1), alanyl (membrane) aminopeptidase (ANPEP), CD84, fibulin 1 (FBLN1), matrix remodelling associated 5 (MXRA5), secreted phosphoprotein 2 (SPP2) and spondin 2 (SPON2). We identified 300 proteins using lectin affinity chromatography, including the glycoproteins afamin (AFM), attractin (ATRN), fibrillin 1 (FBN1), transferrin (TF), tissue inhibitor of metalloproteinase 1 (TIMP1) and vasorin (VSN). Gene ontology analysis confirmed that a majority of the identified proteins were extracellular and are mostly involved in cell communication and signaling. We also confirmed the expression of ANPEP, dickkopf WNT signaling pathway inhibitor 3 (DKK3) and osteoglycin (OGN) by multiple reaction monitoring (MRM) analysis of osteoarthritis synovial fluid samples.

conclusionsWe present an in-depth analysis of the synovial fluid proteome from patients with osteoarthritis. We believe that the catalog of proteins generated in this study will further enhance our knowledge regarding the pathophysiology of osteoarthritis and should assist in identifying better biomarkers for early diagnosis.

Identifiers

PMID24533825
PMCPMC3942106
OpenAlexW2119737563

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.