Evidence map›Paper›PMID 42662787›Full record

ArticleiScience2026

A four-dimensional framework for classifying functional states in immune cells.

Rachel Brandes-Leibovitz, Gal Yankovitz, Eran Bacharach, Mihai G Netea, Evangelos J Giamarellos-Bourboulis, Irit Gat-Viks

Abstract read
In one paragraph

Article in iScience, 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

6 authors.

Rachel Brandes-LeibovitzThe Shmunis School of Biomedicine and Cancer Research, George S. Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv, Israel.
Gal YankovitzThe Shmunis School of Biomedicine and Cancer Research, George S. Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv, Israel.
Eran BacharachThe Shmunis School of Biomedicine and Cancer Research, George S. Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv, Israel.
Mihai G NeteaHuman Genomics Laboratory, University of Medicine and Pharmacy of Craiova, Craiova, Romania.
Evangelos J Giamarellos-Bourboulis4 Department of Internal Medicine, National and Kapodistrian University of Athens, Medical School, Athens, Greece.
Irit Gat-ViksThe Shmunis School of Biomedicine and Cancer Research, George S. Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The immune system protects against pathogens, responds to abiotic stress, maintains homeostasis, and supports tissue repair. Recent work identified four transcriptional dimensions of immune variation-immune resistance, inflammation, metabolism, and tissue repair-each linked to distinct cellular functions. Here, we integrate the analysis of these four dimensions (4D) across multiple immune-mediated diseases and show that they are distinct yet complementary, jointly explain a substantial fraction of inter-individual transcriptional variation, and coexist at the molecular level across diverse immune cell types. We further show that this 4D model captures the main recurrent patterns of immune variation across diseases and is robust even in the case of incomplete and noisy data. These findings suggest that the transcriptional 4D model provides a framework for classifying immune conditions regardless of disease type. We further demonstrate and discuss how this 4D classification can be used to improve the approach to prophylactic and therapeutic interventions.

Indexed as

classification of immune stateshuman immune-related diseaseimmune homeostasisimmune protection against insultssystems immunology

Identifiers

PMID42662787
PMCPMC13520727

What Socratic holds

Textmetadata
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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.