Evidence map›Paper›PMID 42384014›Full record

ArticleImmunology2026

Epidermal Dominance of Metabolically Constrained Immune Niches Underpins Immune Activation Signatures and Clinical Severity in Psoriatic Disease.

Caio Santos Bonilha

Abstract read
In one paragraph

Article in Immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

1 author.

Caio Santos BonilhaInstitute of Infection, Immunity and Inflammation, University of Glasgow, Glasgow, UK.ORCID https://orcid.org/0000-0003-1168-8392

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Psoriatic disease is characterised by persistent immune activation that is closely linked to tissue context and clinical severity. How immune metabolism is organised within inflamed skin and across systemic immune compartments remains incompletely elucidated. Here, spatial transcriptomics and CITE-seq datasets were analysed to characterise immune metabolic niche organisation across skin and circulation. Two metabolic constraint axes capturing oxygen redox and nutrient limitation were used to define metabolically constrained and permissive immune niches within leukocyte-rich tissue regions and circulating immune lineages. Psoriatic lesions exhibited a pronounced shift towards metabolically constrained immune niches that distinguished psoriasis from atopic dermatitis. This imbalance showed strong spatial organisation, with dominance within the epidermis and close alignment with immune activation programmes. Epidermal metabolic organisation scaled with clinical severity and was accompanied by increased immune activation in severely affected tissue, while dermal organisation remained comparatively stable. Extending these observations to circulation, immune metabolic states were further skewed towards constraint in psoriatic patients with joint involvement, consistent with higher systemic inflammatory burden, with prominent effects observed in CD4 T cells. Together, these findings identify immune metabolic niche organisation as a spatially and systemically structured feature of psoriatic disease that links tissue architecture, immune activation and clinical severity.

Indexed as

EpidermisPsoriasisCellular MicroenvironmentFemaleHumansMaleSeverity of Illness IndexSpatial TranscriptomicsTranscriptomeadaptive immunityimmune microenvironmentpsoriasisskin inflammationspatial transcriptomics

Identifiers

PMID42384014
PMCPMC13540547

What Socratic holds

Textmetadata
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 Socratic graph.