Evidence map›Paper›PMID 42389527›Full record

ReviewFrontiers in immunology2026

Mechanisms outpacing medicine in autoinflammatory diseases.

Ruyue Chen

Abstract readReview
In one paragraph

Review in Frontiers 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.

Ruyue ChenDepartment of Nephrology and Immunology, Children's Hospital of Soochow University, Suzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Autoinflammatory diseases are increasingly defined at the genetic and pathway levels, yet therapeutic predictability has not advanced in parallel. This disconnect is especially evident in monogenic disorders, in which molecular diagnosis can identify the initiating lesion but does not reliably predict the dominant effector process, organ-specific risk, or the treatment most likely to achieve durable control. Similar clinical phenotypes may arise from distinct molecular defects, whereas disruption of the same pathway, or even the same gene, may produce divergent organ involvement, disease evolution, and therapeutic response. In established disease, the initiating lesion, sustaining inflammatory circuitry, and the process currently driving tissue injury may no longer remain aligned. This review examines how that misalignment complicates therapeutic decision-making in autoinflammation, with emphasis on type I interferonopathies, inflammasome-related disorders, and NF-κB-centered diseases. It argues that treatment should be genotype-informed rather than genotype-determined, integrating the current dominant inflammatory module, organ-prioritized disease burden, disease stage, tissue reversibility, and treatment-limiting complications. A framework that is phenotype-weighted, organ-prioritized, and time-sensitive may better align mechanism-based therapy with real-world clinical outcomes.

Indexed as

Autoimmune DiseasesHereditary Autoinflammatory DiseasesInflammationAnimalsGenetic Predisposition to DiseaseHumansInflammasomesNF-kappa BSignal TransductionInflammasomesNF-kappa Bautoinflammationinflammasomeinterferonopathymonogenic autoinflammatory diseaseNF-κBtargeted therapy

Identifiers

PMID42389527
PMCPMC13318785

What Socratic holds

Textmetadata
LicenceCC BY
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.