Evidence map›Paper›PMID 30037347›Full record

ArticleBMC medical genomics2018

Longitudinal expression profiling of CD4+ and CD8+ cells in patients with active to quiescent giant cell arteritis.

Elisabeth De Smit, Samuel W Lukowski, Lisa Anderson, Anne Senabouth, Kaisar Dauyey, Sharon Song, Bruce Wyse, Lawrie Wheeler, Christine Y Chen, Khoa Cao and 10 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC medical genomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

11 citing papers in PubMed, 16 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

20 authors at 7 institutions in 1 country.

Elisabeth De SmitCentre for Eye Research Australia, The University of Melbourne, Royal Victorian Eye & Ear Hospital, 32 Gisborne Street, East Melbourne, 3002, Australia. elisabethdesmit@gmail.com.ORCID 0000-0002-3122-3122
Samuel W LukowskiInstitute for Molecular Bioscience, The University of Queensland, Brisbane, 4072, Queensland, Australia.
Lisa AndersonInstitute of Health and Biomedical Innovation, Queensland University of Technology, Translational Research Institute, Princess Alexandra Hospital, Brisbane, 4102, Queensland, Australia.
Anne SenabouthInstitute for Molecular Bioscience, The University of Queensland, Brisbane, 4072, Queensland, Australia.
Kaisar DauyeyInstitute for Molecular Bioscience, The University of Queensland, Brisbane, 4072, Queensland, Australia.
Sharon SongInstitute of Health and Biomedical Innovation, Queensland University of Technology, Translational Research Institute, Princess Alexandra Hospital, Brisbane, 4102, Queensland, Australia.
Bruce WyseInstitute of Health and Biomedical Innovation, Queensland University of Technology, Translational Research Institute, Princess Alexandra Hospital, Brisbane, 4102, Queensland, Australia.
Lawrie WheelerInstitute of Health and Biomedical Innovation, Queensland University of Technology, Translational Research Institute, Princess Alexandra Hospital, Brisbane, 4102, Queensland, Australia.
Christine Y ChenOphthalmology Department at Monash Health, Department of Surgery, School of Clinical Sciences at Monash Health, Melbourne, 3168, Victoria, Australia.
Khoa CaoOphthalmology Department at Monash Health, Department of Surgery, School of Clinical Sciences at Monash Health, Melbourne, 3168, Victoria, Australia.
Amy Wong Ten YuenCentre for Eye Research Australia, The University of Melbourne, Royal Victorian Eye & Ear Hospital, 32 Gisborne Street, East Melbourne, 3002, Australia.
Neil ShueyDepartment of Neuro-Ophthalmology, Royal Victorian Eye and Ear Hospital, Melbourne, 3002, Victoria, Australia.
Linda ClarkeCentre for Eye Research Australia, The University of Melbourne, Royal Victorian Eye & Ear Hospital, 32 Gisborne Street, East Melbourne, 3002, Australia.
Isabel Lopez SanchezCentre for Eye Research Australia, The University of Melbourne, Royal Victorian Eye & Ear Hospital, 32 Gisborne Street, East Melbourne, 3002, Australia.
Sandy S C HungCentre for Eye Research Australia, The University of Melbourne, Royal Victorian Eye & Ear Hospital, 32 Gisborne Street, East Melbourne, 3002, Australia.
Alice PébayCentre for Eye Research Australia, The University of Melbourne, Royal Victorian Eye & Ear Hospital, 32 Gisborne Street, East Melbourne, 3002, Australia.
David A MackeyCentre for Ophthalmology and Visual Science, The University of Western Australia, Lions Eye Institute, Perth, 6009, Western Australia, Australia.
Matthew A BrownInstitute of Health and Biomedical Innovation, Queensland University of Technology, Translational Research Institute, Princess Alexandra Hospital, Brisbane, 4102, Queensland, Australia.
Alex W HewittCentre for Eye Research Australia, The University of Melbourne, Royal Victorian Eye & Ear Hospital, 32 Gisborne Street, East Melbourne, 3002, Australia.
Joseph E PowellInstitute for Molecular Bioscience, The University of Queensland, Brisbane, 4072, Queensland, Australia.
The University of Melbourne · AUTranslational Research Institute · AUThe University of Queensland · AUMonash Health · AULions Eye Institute · AUThe Royal Victorian Eye & Ear Hospital · AUUniversity of Tasmania · AU

Funding

Medical Research Council MR/N011775/1
6 · The paper itself

Abstract

backgroundGiant cell arteritis (GCA) is the most common form of vasculitis affecting elderly people. It is one of the few true ophthalmic emergencies but symptoms and signs are variable thereby making it a challenging disease to diagnose. A temporal artery biopsy is the gold standard to confirm GCA, but there are currently no specific biochemical markers to aid diagnosis. We aimed to identify a less invasive method to confirm the diagnosis of GCA, as well as to ascertain clinically relevant predictive biomarkers by studying the transcriptome of purified peripheral CD4+ and CD8+ T lymphocytes in patients with GCA.

methodsWe recruited 16 patients with histological evidence of GCA at the Royal Victorian Eye and Ear Hospital, Melbourne, Australia, and aimed to collect blood samples at six time points: acute phase, 2-3 weeks, 6-8 weeks, 3 months, 6 months and 12 months after clinical diagnosis. CD4+ and CD8+ T-cells were positively selected at each time point through magnetic-assisted cell sorting. RNA was extracted from all 195 collected samples for subsequent RNA sequencing. The expression profiles of patients were compared to those of 16 age-matched controls.

resultsOver the 12-month study period, polynomial modelling analyses identified 179 and 4 statistically significant transcripts with altered expression profiles (FDR < 0.05) between cases and controls in CD4+ and CD8+ populations, respectively. In CD8+ cells, two transcripts remained differentially expressed after 12 months; SGTB, associated with neuronal apoptosis, and FCGR3A, associatied with Takayasu arteritis. We detected genes that correlate with both symptoms and biochemical markers used for predicting long-term prognosis. 15 genes were shared across 3 phenotypes in CD4 and 16 across CD8 cells. In CD8, IL32 was common to 5 phenotypes including Polymyalgia Rheumatica, bilateral blindness and death within 12 months.

conclusionsThis is the first longitudinal gene expression study undertaken to identify robust transcriptomic biomarkers of GCA. Our results show cell type-specific transcript expression profiles, novel gene-phenotype associations, and uncover important biological pathways for this disease. In the acute phase, the gene-phenotype relationships we have identified could provide insight to potential disease severity and as such guide in initiating appropriate patient management.

Indexed as

Gene Expression ProfilingAgedCD4-Positive T-LymphocytesCD8-Positive T-LymphocytesFemaleGiant Cell ArteritisHumansLongitudinal StudiesMalePhenotypeTime FactorsCD4 & CD8 T lymphocytesDisease biomarkersExpression profilingGiant cell arteritisMagnetic-assisted cell sortingRNA sequencingTranscriptome

Identifiers

PMID30037347
PMCPMC6057030
OpenAlexW2787198293

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.