Evidence map›Paper›PMID 40672966›Full record

ArticleJournal of translational autoimmunity2025

Dysregulation of innate and adaptive lymphoid immunity may have implications for symptom attribution and predict responses to targeted therapies in neuropsychiatric systemic lupus erythematosus.

Julius Lindblom, Guillermo Barturen, Lorenzo Beretta, Daniel Toro-Domínguez, Elena Carnero-Montoro, Maria Orietta Borghi, Jessica Castillo, Ellen Iacobaeus, Yvonne Enman, PRECISESADS Clinical Consortium and 4 more

Abstract read
In one paragraph

Article in Journal of translational autoimmunity, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
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

14 authors.

Julius LindblomDivision of Rheumatology, Department of Medicine Solna, Karolinska Institutet, and Karolinska University Hospital, SE-17176, Stockholm, Sweden.
Guillermo BarturenGENYO, Centre for Genomics and Oncological Research: Pfizer, University of Granada / Andalusian Regional Government, Medical Genomics, Granada, Spain.
Lorenzo BerettaReferral Center for Systemic Autoimmune Diseases, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico di Milano, Italy.
Daniel Toro-DomínguezGENYO, Centre for Genomics and Oncological Research: Pfizer, University of Granada / Andalusian Regional Government, Medical Genomics, Granada, Spain.
Elena Carnero-MontoroGENYO, Centre for Genomics and Oncological Research: Pfizer, University of Granada / Andalusian Regional Government, Medical Genomics, Granada, Spain.
Maria Orietta BorghiDepartment of Clinical Sciences and Community Health, Università Degli Studi di Milano, Milan, Italy.
Jessica CastilloDepartment of Biomedical Engineering, University of Houston, Houston, TX, USA.
Ellen IacobaeusNeuroimmunology Unit, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
Yvonne EnmanDivision of Rheumatology, Department of Medicine Solna, Karolinska Institutet, and Karolinska University Hospital, SE-17176, Stockholm, Sweden.
PRECISESADS Clinical Consortium
Chandra MohanDepartment of Biomedical Engineering, University of Houston, Houston, TX, USA.
Marta E Alarcón-RiquelmeGENYO, Centre for Genomics and Oncological Research: Pfizer, University of Granada / Andalusian Regional Government, Medical Genomics, Granada, Spain.
Dionysis NikolopoulosDivision of Rheumatology, Department of Medicine Solna, Karolinska Institutet, and Karolinska University Hospital, SE-17176, Stockholm, Sweden.
Ioannis ParodisDivision of Rheumatology, Department of Medicine Solna, Karolinska Institutet, and Karolinska University Hospital, SE-17176, Stockholm, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: To gain insights into the pathogenesis of neuropsychiatric systemic lupus erythematosus (NPSLE) and identify potential drug targets through investigation of whole-blood human transcriptome. Methods: We analysed differentially expressed genes in peripheral blood from active central nervous system (CNS) lupus (n = 26) and active non-neuropsychiatric SLE (n = 38) patients versus healthy controls (n = 497) from the European PRECISESADS project (NTC02890121). We further explored dysregulated gene modules in active CNS lupus and their correlation with serological markers. Lastly, we performed regulatory network and druggability analysis. Results: Unsupervised weighted gene co-expression network analysis (WGCNA) revealed 23 dysregulated gene modules and two subgroups of active CNS lupus. The interferon gene module was prominently upregulated in subgroup 1, while the B cell, T cell, and cytotoxic/natural killer (NK) cell modules were downregulated. Subgroup 2 showed less marked dysregulation patterns. Subgroup 1 had lower estimated proportions of lymphoid cell subsets and proportionally more patients positive for anti-dsDNA antibodies compared to subgroup 2, pointing to molecularly distinct subgroups or misclassification of subgroup 2. Conclusions: Gene dysregulation patterns related to innate and adaptive lymphoid immunity separated active CNS lupus patients into two distinct subgroups with differential anticipated response to type I interferon, C3, and calcineurin inhibition. Our study provides a conceptual framework for precision medicine in NPSLE and implications for overcoming the major clinical challenge of attributing neuropsychiatric features to SLE versus other causes.

Indexed as

BiologicsDruggabilityGene expressionNeuropsychiatric systemic lupus erythematosusPrecision medicineSystemic lupus erythematosusTranscriptome

Identifiers

PMID40672966
PMCPMC12266536

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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.