Evidence map›Paper›PMID 39417642›Full record

ReviewImmunity, inflammation and disease2024

Interactions between sleep, inflammation, immunity and infections: A narrative review.

Thijs Feuth

Abstract readReview
In one paragraph

Review in Immunity, inflammation and disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed.

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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.

Thijs FeuthDepartment of pulmonary diseases and Allergology, Turku University Hospital, Turku, Finland.ORCID 0000-0001-6691-556X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOver the past decades, it has become increasingly evident that sleep disturbance contributes to inflammation-mediated disease, including depression, mainly through activation of the innate immune system and to an increased risk of infections.

methodsA comprehensive literature search was performed in PubMed to identify relevant research findings in the field of immunity, inflammation and infections, with a focus on translational research findings from the past 5 years.

resultsPhysiological sleep is characterized by a dynamic interplay between the immune system and sleep architecture, marked by increased innate immunity and T helper 1 (Th1) -mediated inflammation in the early phase, transitioning to a T helper 2 (Th2) response dominating in late sleep. Chronic sleep disturbances are associated with enhanced inflammation and an elevated risk of infections, while other inflammatory diseases may also be affected. Conversely, inflammation in response to infection can also disrupt sleep patterns and architecture. This narrative review summarizes current data on the complex relationships between sleep, immunity, inflammation and infections, while highlighting translational aspects. The bidirectional nature of these interactions are addressed within specific conditions such as sleep apnea, HIV, and other infections. Furthermore, technical developments with the potential to accelerate our understanding of these interactions are identified, including advances in wearable devices, artificial intelligence, and omics technology. By integrating these tools, novel biomarkers and therapeutic targets for sleep-related immune dysregulation may be identified.

conclusionThe review underscores the importance of understanding and addressing immune imbalance related to sleep disturbances to improve disease outcomes.

Indexed as

InfectionsInflammationSleepAnimalsHumansImmunity, InnateSleep Wake Disorderscytokinesimmunityinfectionsinflammationinterleukin‐1long‐COVIDparasitic infectionssleepsleep apneaTNFviral infections

Identifiers

PMID39417642
PMCPMC11483929

What OpenQuestion holds

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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 OpenQuestion graph.