Cited by 51Rheumatoid Arthritis Research and TherapiesAutoimmune and Inflammatory Disorders ResearchNatural Compounds in Disease Treatment

A Comprehensive Gene Expression Meta-analysis Identifies Novel Immune Signatures in Rheumatoid Arthritis Patients

Open access
Afroz, Sumbul, Giddaluru, Jeevan, Vishwakarma, Sandeep, Naz, Saima, Khan, Aleem Ahmed, Khan, Nooruddin·2017·Frontiers in Immunology

Abstract

Rheumatoid Arthritis (RA), a symmetric polyarticular arthritis, has long been feared as one of the most disabling forms of arthritis. Identification of gene signatures associated with RA onset and progression would lead towards development of novel diagnostics and therapeutic interventions. This study was undertaken to identify unique gene signatures of RA patients through large-scale meta-profiling of a diverse collection of gene expression data sets. We carried out a meta-analysis of 8 publicly available RA patients’ (107 RA patients and 76 healthy controls) gene expression data sets and further validated a few meta-signatures in RA patients through quantitative Real time PCR (RTq-PCR). We identified a robust meta-profile comprising of 33 differentially expressed genes, which were consistently and significantly expressed across all the data sets. Our meta-analysis unearthed upregulation of a few novel gene signatures including PLCG2, HLA-DOB, HLA-F, EIF4E2, and CYFIP2, which were validated in PBMC samples of RA patients. Further, functional and pathway enrichment analysis reveals perturbation of several meta-genes involved in signaling pathways pertaining to inflammation, antigen presentation, hypoxia, and apoptosis during RA. Additionally, PLCG2 (phospholipase Cγ2) popped out as a novel meta-gene involved in most of the pathways relevant to RA including inflammasome activation, platelet aggregation, and activation, thereby suggesting PLCG2 as a potential therapeutic target for controlling excessive inflammation during RA. In conclusion, these findings highlight the utility of meta-analysis approach in identifying novel gene signatures that might provide mechanistic insights into disease onset, progression and possibly lead towards the development of better diagnostic and therapeutic interventions against RA.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.3389/fimmu.2017.00074

Cites

77 of 77 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • PLCγ2 gene signature is upregulated in peripheral blood mononuclear cells of patients with rheumatoid arthritis.

    “PLCγ2 also appears to play a role in the chronic inflammatory disorder, rheumatoid arthritis (RA), as evident by an upregulation of the PLCγ2 gene signature of patient peripheral blood mononuclear cells (111).”
  • PLCγ2 is involved in RA-related gene pathways such as inflammasome activation and both platelet aggregation and activation.

    “Indeed, PLCγ2 was revealed to be involved in RA-related gene pathways such as inflammasome activation and both platelet aggregation and activation, which makes it a promising drug target to stem inflammation in RA (111).”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

2 of the 79 references couldn’t be matched to a known paper.

Cited by

Sorted by citations

Authors
Afroz, S., Giddaluru, J., Vishwakarma, S., Naz, S., Khan, A. A., & Khan, N.
Affiliations
  • University of Hyderabad (IN)
  • Deccan College of Medical Sciences (IN)
Corresponding author
Khan, Nooruddin
Venue
Frontiers in Immunology
Published
2017-02-02
Volume
8
Pages
74-74
ISSN
1664-3224 (ISSN-L)
OpenAlex
W2585020362
Cited by
50
References
79
Citations by year
2026: 1 · 2025: 4 · 2024: 9 · 2023: 13 · 2022: 9 · 2021: 4 · 2020: 3 · 2019: 6 · 2017: 1
FWCI
2.39
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
  • Frontiers in Immunology (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
Funders
  • Department of Science and Technology, Ministry of Science and Technology (DST No: SB/YS/LS-163/2013)
  • Nano Mission Council, Department of Science and Technology (DST No. SR/NM/NS-1040/2013(G))
  • University Grants Commission (UGC No. MRP-MAJOR-BIOT-2013-40689)
  • Department of Biotechnology, Ministry of Science and Technology (BT/PR8624/MED/29/798/2013)
Topics
  • Health Sciences › Medicine › Rheumatology › Rheumatoid Arthritis Research and Therapies
  • Health Sciences › Medicine › Hematology › Autoimmune and Inflammatory Disorders Research
  • Health Sciences › Medicine › Complementary and alternative medicine › Natural Compounds in Disease Treatment
Keywords
rheumatoid arthritis, gene expression signatures, PLCγ2, HLA-F, eIF4E2, CYFIP2, peripheral blood mononuclear cells, inflammation, antigen presentation, hypoxia, apoptosis, inflammasome activation, platelet aggregation, therapeutic target

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review