Evidence map›Paper›PMID 42867511›Full record

ReviewSeminars in immunopathology2026

Temperature extremes and autoimmune diseases.

Katharina Robichon, Rebecca Grainger

Abstract readReview
In one paragraph

Review in Seminars in immunopathology, 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

2 authors.

Katharina RobichonDepartment of Pathology and Molecular Medicine, University of Otago Wellington, Wellington, New Zealand.ORCID http://orcid.org/0000-0001-6638-2679
Rebecca GraingerDepartment of Pathology and Molecular Medicine, University of Otago Wellington, Wellington, New Zealand. rebecca.grainger@otago.ac.nz.ORCID http://orcid.org/0000-0001-9201-8678

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Temperature extremes linked to climate change are becoming more frequent and more intense. This has significant implications for human health, including conditions driven by immune dysregulation. There is growing evidence that external thermal stress, particularly heat, may influence both the development and clinical course of several autoimmune conditions. Heat and cold can alter immune cell function through effects on cell signalling, cytokine production, barrier integrity and stress response within tissues. These mechanisms provide a strong biological basis for the observed associations between seasonal or regional temperature patterns and rates of autoimmune disease onset, symptoms, or flare frequency. Temperature extremes present considerable specific health risk to people with autoimmune disease with examples including heat waves worsening fatigue and neurological symptoms in people with multiple sclerosis and cold spells triggering blood vessel constriction and extremity tissue necrosis in systemic sclerosis. As climate instability increases, people with autoimmune disease will face higher clinical risk, due to disease-related factors and increased risks from cardiovascular related morbidity and mortality and concomitant demographic and socio-economic factors. This highlights the need for climate-aware healthcare, patient education, and research that addresses the interface of environmental factors with immune and clinical outcomes.

Indexed as

Autoimmune DiseasesTemperatureAnimalsClimate ChangeDisease SusceptibilityEnvironmental ExposureHumansRisk FactorsAutoimmune diseasesClimate changeEnvironmental ExposureTemperature

Identifiers

PMID42867511
PMCPMC13661633

What OpenQuestion 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 OpenQuestion graph.