Evidence map›Paper›PMID 42292620›Full record

ReviewTranslational pediatrics2026

Pediatric health: mechanistic insights into inflammatory diseases and emerging therapeutic pathway-targeted approaches.

Qi Zhou, Ciai Lai, Minyu Zhang, Rongzhen Li, Kangjian Li, Wei He

Abstract readReview
In one paragraph

Review in Translational pediatrics, 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.

Qi ZhouShenzhen Hospital (Futian) of Guangzhou University of Chinese Medicine, Shenzhen, China.
Ciai LaiShenzhen Hospital (Futian) of Guangzhou University of Chinese Medicine, Shenzhen, China.
Minyu ZhangShenzhen Hospital (Futian) of Guangzhou University of Chinese Medicine, Shenzhen, China.
Rongzhen LiShenzhen Hospital (Futian) of Guangzhou University of Chinese Medicine, Shenzhen, China.
Kangjian LiGuangdong Provincial Hospital of Chinese Medicine, Guangzhou, China.
Wei HeShenzhen Hospital (Futian) of Guangzhou University of Chinese Medicine, Shenzhen, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pediatric inflammatory diseases, including juvenile idiopathic arthritis, pediatric inflammatory bowel disease, asthma, Kawasaki disease, and multisystem inflammatory syndrome in children, are an increasing global health concern. These conditions arise from dysregulated immune responses shaped by genetic susceptibility, environmental exposures, and the distinctive features of the developing pediatric immune system. This review presents a mechanism-centered overview of pediatric inflammation, emphasizing immune ontogeny, innate and adaptive immune dysregulation, cytokine signaling, inflammasome activation, oxidative stress, and the gut-immune axis. It also highlights emerging pathway-targeted therapies, including cytokine blockade, JAK inhibitors, microbiome-based interventions, and gene-editing strategies, with attention to their relevance for pediatric precision medicine. Early, mechanism-based intervention during critical developmental windows may improve long-term outcomes and reduce the lifetime burden of inflammatory disease. Overall, this review provides a concise, pediatric-focused perspective on how developmental immunology and targeted therapeutics can inform more precise and effective management of childhood inflammatory disorders.

Indexed as

cytokine signalingimmune system developmentJAK inhibitorsPediatric inflammatory diseaseprecision medicine

Identifiers

PMID42292620
PMCPMC13263523

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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 OpenQuestion graph.