Evidence map›Paper›PMID 29938934›Full record

ArticleArthritis & rheumatology (Hoboken, N.J.)2018

Stratification of Systemic Lupus Erythematosus Patients Into Three Groups of Disease Activity Progression According to Longitudinal Gene Expression.

Daniel Toro-Domínguez, Jordi Martorell-Marugán, Daniel Goldman, Michelle Petri, Pedro Carmona-Sáez, Marta E Alarcón-Riquelme

Open access · greenAbstract read
In one paragraph

Article in Arthritis & rheumatology (Hoboken, N.J.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed
11.1field-weighted citation impact, top 1% 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

54 citing papers in PubMed, 114 citations in OpenAlex.

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  9. The molecular subtypes of autoimmune diseases.Computational and structural biotechnology journal · 2024
    Review
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  15. Article
  16. Article
  17. Application of Machine Learning Models in Systemic Lupus Erythematosus.International journal of molecular sciences · 2023
    Review
  18. Review
  19. Article
  20. 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

6 authors at 3 institutions in 3 countries.

Daniel Toro-DomínguezCentro de Genómica e Investigaciones Oncológicas Pfizer-Universidad de Granada-Junta de Andalucía, Granada, Spain.
Jordi Martorell-MarugánCentro de Genómica e Investigaciones Oncológicas Pfizer-Universidad de Granada-Junta de Andalucía, Granada, Spain.
Daniel GoldmanJohns Hopkins University School of Medicine, Baltimore, Maryland.
Michelle PetriJohns Hopkins University School of Medicine, Baltimore, Maryland.ORCID 0000-0003-1441-5373
Pedro Carmona-SáezCentro de Genómica e Investigaciones Oncológicas Pfizer-Universidad de Granada-Junta de Andalucía, Granada, Spain.
Marta E Alarcón-RiquelmeCentro de Genómica e Investigaciones Oncológicas Pfizer-Universidad de Granada-Junta de Andalucía, Granada, Spain, and Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0002-7632-4154
Pfizer-University of Granada-Junta de Andalucía Centre for Genomics and Oncological Research · ESJohns Hopkins University · USKarolinska Institutet · SE

Funding

Hopkins Lupus CohortR01AR069572 · NIAMS · JOHNS HOPKINS UNIVERSITY · PI PETRI, MICHELLE A · 2016 to 2020
$3.4M
NIAMS NIH HHS R01 AR069572
6 · The paper itself

Abstract

objectiveThe highly heterogeneous clinical presentation of systemic lupus erythematosus (SLE) is characterized by the unpredictable occurrence of disease flares and organ damage. Attempts to stratify lupus patients have been limited to classification based on clinical information, leading to unsuccessful clinical trials and controversial research results. This study was undertaken to develop and validate a robust method to stratify patients with lupus according to longitudinal disease activity and whole-genome gene expression data in order to establish subgroups of patients who share disease progression mechanisms.

methodsWe used a cluster-based approach to stratify SLE patients based on the correlation between disease activity scores and longitudinal gene expression information. Clustering robustness was evaluated by the bootstrap method, and the clusters were characterized in terms of clinical and functional features.

resultsWe observed a clear partition into 3 different disease clusters in 2 independent sets of patients, one pediatric and one adult, which was not influenced by treatment, race, or other source of bias. Two of the clusters differentiated into a group showing a correlation between the percentage of neutrophils and disease activity progression and a group showing a correlation between the percentage of lymphocytes and disease activity progression. The third cluster, in which the percentage of neutrophils correlated to a lesser degree with disease activity, was functionally more heterogeneous. Patients in the neutrophil-driven clusters had an increased risk of developing proliferative nephritis.

conclusionOur findings indicate that SLE patients can be stratified into 3 subgroups of patients who show different mechanisms of disease progression and are clinically differentiated. Our results have important implications for treatment options, the design of clinical trials, our understanding of the etiology of the disease, and the prediction of severe glomerulonephritis.

Indexed as

Gene Expression ProfilingAdultChildCluster AnalysisDisease ProgressionFemaleGlomerulonephritisHumansLongitudinal StudiesLupus Erythematosus, SystemicLupus NephritisLymphocytesMaleMiddle AgedNeutrophilsRisk Factors

Identifiers

PMID29938934
PMCPMC8326877
OpenAlexW2810708941

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.