Evidence map›Paper›PMID 25921064›Full record

ArticleJournal of autoimmunity2015

Widely divergent transcriptional patterns between SLE patients of different ancestral backgrounds in sorted immune cell populations.

Shruti Sharma, Zhongbo Jin, Elizabeth Rosenzweig, Swapna Rao, Kichul Ko, Timothy B Niewold

Open access · greenAbstract read
In one paragraph

Article in Journal of autoimmunity, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 2 pooled it
5.9field-weighted citation impact, top 4% 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

31 citing papers in PubMed, 2 syntheses or guidelines pooled it, 57 citations in OpenAlex.

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  16. Type I interferon in rheumatic diseases.Nature reviews. Rheumatology · 2018
    Review
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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

6 authors at 2 institutions in 1 country.

Shruti Sharma *University of Chicago, Gwen Knapp Center for Lupus Research.
Zhongbo Jin *Mayo Clinic, Division of Rheumatology and Department of Immunology.
Elizabeth RosenzweigUniversity of Chicago, Gwen Knapp Center for Lupus Research.
Swapna RaoUniversity of Chicago, Gwen Knapp Center for Lupus Research.
Kichul KoUniversity of Chicago, Gwen Knapp Center for Lupus Research.
Timothy B NiewoldMayo Clinic, Division of Rheumatology and Department of Immunology.
University of Chicago · USMayo Clinic in Arizona · US

Funding

Re-Engineering Translational Research at the University of ChicagoUL1TR000430 · NCATS · UNIVERSITY OF CHICAGO · PI SOLWAY, JULIAN · 2012 to 2016
$20.2M
Interferon Regulatory Factor 5 in Human Lupus PathogenesisR01AR065964 · NIAMS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI NIEWOLD, TIMOTHY B · 2015 to 2018
$2.0M
Interferon Alpha as a Tool for Gene Discovery in Human LupusR01AR060861 · NIAMS · UNIVERSITY OF CHICAGO · PI NIEWOLD, TIMOTHY B · 2011 to 2015
$1.8M
The Role of IL-17 Axis in Inflammatory MyositisR01AR057781 · NIAMS · MAYO CLINIC ROCHESTER · PI NIEWOLD, TIMOTHY B, PETERSON, ERIK J · 2010 to 2014
$1.6M
NCATS NIH HHS UL1 TR000430NIAID NIH HHS AI071651NIAID NIH HHS L30 AI071651NIAMS NIH HHS AR057781NIAMS NIH HHS AR060861NIAMS NIH HHS AR065964NIAMS NIH HHS R01 AR057781NIAMS NIH HHS R01 AR060861NIAMS NIH HHS R01 AR065964
6 · The paper itself

Abstract

Systemic lupus erythematosus (SLE) is a complex autoimmune disease of uncertain etiology. Patients from different ancestral backgrounds demonstrate differences in clinical manifestations and autoantibody profiles. We examined genome-wide transcriptional patterns in major immune cell subsets across different ancestral backgrounds. Peripheral blood was collected from African-American (AA) and European-American (EA) SLE patients and controls. CD4 T-cells, CD8 T-cells, monocytes, and B cells were purified by flow sorting, and each cell subset from each subject was run on a genome-wide expression array. Cases were compared to controls of the same ancestral background. The overlap in differentially expressed gene (DEG) lists between different cell types from the same ancestral background was modest (<10%), and only 5-8% overlap in DEG lists was observed when comparing the same cell type between different ancestral backgrounds. IFN-stimulated gene (ISG) expression was not up-regulated synchronously in all cell types from a given patient, for example a given subject could have high ISG expression in T and B cells, but not in monocytes. AA subjects demonstrated more concordance in ISG expression between cell types from the same individual, and AA patients demonstrated significant down-regulation of metabolic gene expression which was not observed in EA patients. ISG expression was significantly decreased in B cells in patients taking immunosuppressants, while ISGs in other cell types did not differ with medication use. In conclusion, gene expression was strikingly different between immune cell subsets and between ancestral backgrounds in SLE patients. These findings emphasize the critical importance of studying multiple ancestral backgrounds and multiple cell types in gene expression studies. Ancestral backgrounds which are not studied will not benefit from personalized medicine strategies in SLE.

Indexed as

Black or African AmericanB-LymphocytesCD4-Positive T-LymphocytesCD8-Positive T-LymphocytesFemaleGene ExpressionGenome-Wide Association StudyHumansInterferonsLupus Erythematosus, SystemicMonocytesWhite PeopleInterferonsAncestral backgroundGene expressionInterferonSystemic lupus erythematosus

Identifiers

PMID25921064
PMCPMC4457613
OpenAlexW2088052489

What OpenQuestion holds

Textmetadata
LicenceTDM
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.