Evidence map›Paper›PMID 24714506›Full record

ArticlePloS one2014

Identification of autoantibodies against transthyretin for the screening and diagnosis of rheumatoid arthritis.

Saurabh Sharma, Sreejoyee Ghosh, Lalit Kumar Singh, Ashish Sarkar, Rajesh Malhotra, Onkar Prasad Garg, Yogendra Singh, Radhey Shyam Sharma, Darshan Singh Bhakuni, Taposh Kumar Das and 1 more

RetractedOpen access · goldAbstract readRetracted Publication
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 12% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 4 institutions in 1 country.

Saurabh SharmaDepartment of Genomics & Molecular Medicine, CSIR-Institute of Genomics and Integrative Biology, Delhi, India; Department of Environmental Studies, Delhi University, Delhi, India.
Sreejoyee GhoshDepartment of Genomics & Molecular Medicine, CSIR-Institute of Genomics and Integrative Biology, Delhi, India.
Lalit Kumar SinghDepartment of Genomics & Molecular Medicine, CSIR-Institute of Genomics and Integrative Biology, Delhi, India.
Ashish SarkarDepartment of Genomics & Molecular Medicine, CSIR-Institute of Genomics and Integrative Biology, Delhi, India.
Rajesh MalhotraDepartment of Orthopaedic, All India Institute of Medical Sciences, New Delhi, India.
Onkar Prasad GargDepartment of Clinical Immunology and Rheumatology, Army Hospital (Research and Referral), New Delhi, India.
Yogendra SinghDepartment of Genomics & Molecular Medicine, CSIR-Institute of Genomics and Integrative Biology, Delhi, India.
Radhey Shyam SharmaDepartment of Environmental Studies, Delhi University, Delhi, India.
Darshan Singh BhakuniDepartment of Clinical Immunology and Rheumatology, Army Hospital (Research and Referral), New Delhi, India.
Taposh Kumar DasDepartment of Anatomy, All India Institute of Medical Sciences, New Delhi, India.
Sagarika BiswasDepartment of Genomics & Molecular Medicine, CSIR-Institute of Genomics and Integrative Biology, Delhi, India.
Institute of Genomics and Integrative Biology · INAll India Institute of Medical Sciences · INArmy Hospital Research and Referral · INUniversity of Delhi · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rheumatoid arthritis (RA) is a chronic, autoimmune, systemic and inflammatory rheumatic disease that leads to inflammation of the joints and surrounding tissues. Identification of novel protein(s) associated with severity of RA is a prerequisite for better understanding of pathogenesis of this disease that may also have potential to serve as novel biomarkers in the diagnosis of RA. Present study was undertaken to compare the amount of autoantigens and autoantibodies in the plasma of RA patients in comparison to healthy controls. Plasma samples were collected from the patients suffering from RA, Osteoarthritis (OA), Systemic lupus erythematosus (SLE) and healthy volunteers. The screening of plasma proteins were carried out using 2-dimensional gel electrophoresis followed by identification of differentially expressed protein by MALDI-TOF MS/MS. Among several differentially expressed proteins, transthyretin (TTR) has been identified as one of the protein that showed significantly up regulated expression in the plasma of RA patients. The results were further validated by Western blot analysis and ELISA. In comparison to OA synovium, an exclusive significantly high expression of TTR in RA has been validated through IHC, Western blotting and IEM studies. Most importantly, the increase in expression of TTR with the progression of severity of RA condition has been observed. The autoantibodies against TTR present in the RA plasma were identified using immunoprecipitation-Western methods. The significant production of autoantibodies was validated by ELISA and Western blot analysis using recombinant pure protein of TTR. Hence, these novel observations on increase in TTR expression with the increase in severity of RA conditions and significant production of autoantibodies against TTR clearly suggest that a systematic studies on the role TTR in the pathogenesis of RA is immediately required and TTR may be used as a serum diagnostic marker together with other biochemical parameters and clinical symptoms for RA screening and diagnosis.

Indexed as

AdolescentAdultAgedArthritis, RheumatoidAutoantibodiesBiomarkersFemaleHumansLupus Erythematosus, SystemicMaleMiddle AgedOsteoarthritisPrealbuminYoung AdultAutoantibodiesBiomarkersPrealbumin

Identifiers

PMID24714506
PMCPMC3979706
OpenAlexW2035692793

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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.