Evidence map›Paper›PMID 38302132›Full record

ArticleLupus science & medicine2024

Large overlap in neutrophil transcriptome between lupus and COVID-19 with limited lupus-specific gene expression.

Rayan Najjar, Noga Rogel, Jose Mario Bello Pineda, Xiaoxing Wang, Megan Tran, Alison Bays, Tomas Mustelin

Open access · goldAbstract read
In one paragraph

Article in Lupus science & medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.2field-weighted citation impact, top 23% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Gene Expression Dysregulation in Whole Blood of Patients withInternational journal of molecular sciences · 2024
    Article
  4. Autoimmunity: the neoantigen hypothesis.Frontiers in immunology · 2024
    Article
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

7 authors at 1 institution in 1 country.

Rayan NajjarDepartment of Medicine, University of Washington, Seattle, Washington, USA.
Noga RogelDepartment of Medicine, University of Washington, Seattle, Washington, USA.
Jose Mario Bello PinedaDepartment of Medicine, University of Washington, Seattle, Washington, USA.
Xiaoxing WangDepartment of Medicine, University of Washington, Seattle, Washington, USA.
Megan TranDepartment of Medicine, University of Washington, Seattle, Washington, USA.
Alison BaysDepartment of Medicine, University of Washington, Seattle, Washington, USA.
Tomas MustelinDepartment of Medicine, University of Washington, Seattle, Washington, USA tomas2@uw.edu.ORCID 0000-0001-5912-8840
University of Washington · US

Funding

RESEARCH TRAINING IN RHEUMATOLOGYT32AR007108 · NIAMS · UNIVERSITY OF WASHINGTON · PI Shaun Jackson, Tomas M Mustelin · 1986 to 2026
$6.6M
Upstream drivers of type I interferons in lupusR01AI186337 · NIAID · UNIVERSITY OF WASHINGTON · PI Joanne Michelle Kahlenberg, John LaCava · 2024 to 2026
$2.3M
Role of the L1 retrotransposon in interferon-positive SLER01AR081654 · NIAMS · UNIVERSITY OF WASHINGTON · PI Tomas M Mustelin · 2023 to 2026
$2.1M
Altered protein structures and neoepitopes in lupus neutrophils from dysregulated splicing of messenger RNAR21AI183320 · NIAID · UNIVERSITY OF WASHINGTON · PI Tomas M Mustelin · 2025 to 2026
$477k
The roots of SLE: Can we cure it with a reverse transcriptase inhibitor?R21AR075134 · NIAMS · UNIVERSITY OF WASHINGTON · PI MUSTELIN, TOMAS M · 2019 to 2020
$427k
HERV-K immunity, a trigger of citrullination in rheumatoid arthritis?R21AR077266 · NIAMS · UNIVERSITY OF WASHINGTON · PI MUSTELIN, TOMAS M · 2021 to 2022
$425k
NIAID NIH HHS R01 AI186337NIAID NIH HHS R21 AI183320NIAMS NIH HHS R01 AR081654NIAMS NIH HHS R21 AR075134NIAMS NIH HHS R21 AR077266NIAMS NIH HHS T32 AR007108
6 · The paper itself

Abstract

objectivesTo illuminate the poorly understood aetiology of SLE by comparing the gene expression profile of SLE neutrophils with that of neutrophils from patients infected by SARS-CoV-2, a disease (COVID-19) with well-defined antigens and a similar type I interferon response.

methodsRNA sequencing of neutrophils from patients with SLE (n=15) and healthy controls (n=12) was analysed for differential gene expression and modulated pathways. The same analyses were performed on a similar neutrophil dataset from patients with SARS-CoV-2 infection (n=30) and healthy controls (n=8). Next, we carried out comparative analyses to identify common and unique transcriptional changes between the two disease contexts, emphasising genes regulated in opposite directions.

resultsWe identified 372 differentially expressed genes in SLE neutrophils compared with healthy donor neutrophils (≥2 fold, p<0.05), 181 of which were concordant with transcriptional changes in SARS-CoV-2-infected individuals compared with their respective healthy controls. In contrast, 118 genes demonstrated statistically significant alterations exclusive to SLE, including 28 genes that were differentially expressed in opposite directions in the two diseases.

conclusionsThe substantial overlap between neutrophil responses in SLE and COVID-19 suggests that the unknown cause of SLE is functionally similar to a viral infection and drives a similar immune activation and type I interferon response. Conversely, the genes regulated in the opposite direction represent responses unique to SLE. These include tyrosylprotein sulfotransferase-1 and nucleic acid deaminases of the APOBEC family, which can catalyse cytosine-to-uridine editing of both RNA and DNA, and other RNA-modifying enzymes.

Indexed as

COVID-19Interferon Type ILupus Erythematosus, SystemicHumansNeutrophilsRNASARS-CoV-2TranscriptomeInterferon Type IRNAAutoimmune DiseasesCOVID-19Systemic Lupus Erythematosus

Identifiers

PMID38302132
PMCPMC10831459
OpenAlexW4391444742

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.