Evidence map›Paper›PMID 27274716›Full record

ArticleClinical proteomics2016

Synovial fluid proteome in rheumatoid arthritis.

Mitali Bhattacharjee, Lavanya Balakrishnan, Santosh Renuse, Jayshree Advani, Renu Goel, Gajanan Sathe, T S Keshava Prasad, Bipin Nair, Ramesh Jois, Subramanian Shankar and 1 more

Open access · goldAbstract read
In one paragraph

Article in Clinical proteomics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
6.5field-weighted citation impact, top 3% 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

24 citing papers in PubMed, 63 citations in OpenAlex.

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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

11 authors at 5 institutions in 2 countries.

Mitali BhattacharjeeInstitute of Bioinformatics, International Technology Park, Bangalore, 560066 India ; Amrita School of Biotechnology, Amrita University, Kollam, 690525 India.
Lavanya BalakrishnanInstitute of Bioinformatics, International Technology Park, Bangalore, 560066 India ; Department of Biotechnology, Kuvempu University, Shankaraghatta, 577451 India.
Santosh RenuseInstitute of Bioinformatics, International Technology Park, Bangalore, 560066 India ; Amrita School of Biotechnology, Amrita University, Kollam, 690525 India.
Jayshree AdvaniInstitute of Bioinformatics, International Technology Park, Bangalore, 560066 India ; Manipal University, Madhav Nagar, Manipal, 576104 India.
Renu GoelInstitute of Bioinformatics, International Technology Park, Bangalore, 560066 India ; Department of Biotechnology, Kuvempu University, Shankaraghatta, 577451 India.
Gajanan SatheInstitute of Bioinformatics, International Technology Park, Bangalore, 560066 India ; Manipal University, Madhav Nagar, Manipal, 576104 India.
T S Keshava PrasadInstitute of Bioinformatics, International Technology Park, Bangalore, 560066 India ; Amrita School of Biotechnology, Amrita University, Kollam, 690525 India.
Bipin NairAmrita School of Biotechnology, Amrita University, Kollam, 690525 India.
Ramesh JoisDepartment of Rheumatology, Fortis Hospital, Bangalore, 560066 India.
Subramanian ShankarDepartment of Rheumatology, Medical Division, Command Hospital (Air Force), Bangalore, 560007 India.
Akhilesh PandeyMcKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, 733 N. Broadway, BRB 527, Baltimore, MD 21205 USA ; Department of Biological Chemistry, Johns Hopkins University School of Medicine, Baltimore, MD 21205 USA ; Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD 21205 USA ; Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, MD 21205 USA.
Institute of Bioinformatics · INAmrita Vishwa Vidyapeetham · INCommand Hospital Air Force · INFortis Hospital · INJohns Hopkins Medicine · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRheumatoid arthritis (RA) is a chronic autoinflammatory disorder that affects small joints. Despite intense efforts, there are currently no definitive markers for early diagnosis of RA and for monitoring the progression of this disease, though some of the markers like anti CCP antibodies and anti vimentin antibodies are promising. We sought to catalogue the proteins present in the synovial fluid of patients with RA. It was done with the aim of identifying newer biomarkers, if any, that might prove promising in future.

methodsTo enrich the low abundance proteins, we undertook two approaches-multiple affinity removal system (MARS14) to deplete some of the most abundant proteins and lectin affinity chromatography for enrichment of glycoproteins. The peptides were analyzed by LC-MS/MS on a high resolution Fourier transform mass spectrometer.

resultsThis effort was the first total profiling of the synovial fluid proteome in RA that led to identification of 956 proteins. From the list, we identified a number of functionally significant proteins including vascular cell adhesion molecule-1, S100 proteins, AXL receptor protein tyrosine kinase, macrophage colony stimulating factor (M-CSF), programmed cell death ligand 2 (PDCD1LG2), TNF receptor 2, (TNFRSF1B) and many novel proteins including hyaluronan-binding protein 2, semaphorin 4A (SEMA4D) and osteoclast stimulating factor 1. Overall, our findings illustrate the complex and dynamic nature of RA in which multiple pathways seems to be participating actively.

conclusionsThe use of high resolution mass spectrometry thus, enabled identification of proteins which might be critical to the progression of RA.

Indexed as

AngiogenesisApoptosisBone repairHyaluronic acidLubricantNeovascularisationOsteoclastogenesis

Identifiers

PMID27274716
PMCPMC4893419
OpenAlexW2346132737

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.