Evidence map›Paper›PMID 42228270›Full record

ArticleMolecular and cellular biochemistry2026

A spatial transit-retention axis reveals adaptive immune organisation in psoriatic disease.

Caio Santos Bonilha

Abstract read
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In one paragraph

Article in Molecular and cellular biochemistry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

1 author.

Caio Santos BonilhaSchool of Infection & Immunity, College of Medical, Veterinary & Life Sciences, Institute of Infection, Immunity and Inflammation, University of Glasgow, Sir Graeme Davies Building, 120 University Place, Glasgow, G12 8TA, UK. Caio.Bonilha@glasgow.ac.uk.ORCID http://orcid.org/0000-0003-1168-8392

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Spatial organisation of immune cells reflects a balance between tissue anchoring and migratory compatibility, yet how this balance is structured within inflammatory skin disease remains poorly understood. Spatial transcriptomic analyses defined transit-retention immune organisation across lesional and non-lesional skin in atopic dermatitis (AD) and psoriasis (PsO). A unified transit-retention axis captured contextual immune organisation within leukocyte-rich tissue microenvironments. Non-lesional skin in both diseases exhibited retention-dominant organisation. In contrast, psoriatic lesions showed disruption of retention dominance, accompanied by coordinated alignment of antigen presentation, T cell activation, Th17, and B cell programmes with transit-compatible organisation, a pattern not observed in AD. An independent spatial transcriptomic dataset of psoriatic skin enabled assessment of compartmental specificity and clinical relevance. These analyses identified the epidermis as the primary site of transit-skewed reorganisation, with epidermal transit alignment scaling with disease severity. Extension of the same transcriptional framework to circulating adaptive immune cells using CITE-seq revealed lineage-specific transit-associated features in psoriatic disease. Circulating CD4 T cells and B cells showed stronger transcriptional and protein-level alignment with transit-associated states in PsO and psoriatic arthritis. Together, these analyses reveal transit-skewed adaptive immune organisation as a unifying feature of psoriatic disease.

Indexed as

Adaptive ImmunityDermatitis, AtopicPsoriasisTh17 CellsTranscriptomeB-LymphocytesHumansSpatial TranscriptomicsAdaptive immunityImmune microenvironmentPsoriasisSkin inflammationSpatial transcriptomics

Identifiers

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Textmetadata
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Registered trials

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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 Socratic graph.