Evidence mapPaperPMID 42368400Full record

ReviewInternational journal of nanomedicine2026

Advances in Nanotechnology-Based Immunomodulatory Strategies for the Treatment of Allergic Rhinitis.

Xiaona Liu, Wei Zhao

Abstract readReview
In one paragraph

Review in International journal of nanomedicine, 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.

Xiaona LiuDepartment of Otolaryngology, Baoding NO.1 Central Hospital, Hebei, 071000, People's Republic of China.
Wei ZhaoDepartment of Otolaryngology, Baoding NO.1 Central Hospital, Hebei, 071000, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Allergic rhinitis is a prevalent, chronic airway inflammatory disorder that poses growing public health, clinical, and socioeconomic challenges on a global scale. Allergen immunotherapy (AIT) is currently the only etiological therapy that can modify the natural course of allergic rhinitis. However, conventional AIT has limitations such as significant individual differences in efficacy, long treatment duration, and local adverse effects. The above bottlenecks highlight the urgent need to develop precise, efficient, and more secure immune-targeted intervention strategies. In recent years, nanodurgs have opened a new avenue for allergic rhinitis immunotherapy by leveraging unique advantages such as precise drug release control, targeted delivery, and enhanced immunomodulation. This article systematically reviews the recent advances in nanotechnology-based immunotherapeutic strategies for allergic rhinitis, with particular emphasis on two innovative strategies: nanovaccines and nanobodies. We further discusses the utility of diverse nanocarrier platforms, including polymeric nanoparticles, liposomes, and exosomes, which as immunomodulatory adjuvants and precision delivery systems. In addition, we elucidate the design principles and mechanistic underpinnings of intelligent responsive nanosystems, highlighting their potential to concurrently improve therapeutic efficacy and safety through synergistic immunoregulation. Collectively, this review provides a scientific foundation for the future development of novel, clinically translatable interventions for immune-mediated diseases, including allergic rhinitis.

Indexed as

Rhinitis, AllergicAnimalsDesensitization, ImmunologicDrug Delivery SystemsHumansImmunotherapyNanomedicineNanotechnologyNanovaccinesNanovaccinesallergen immunotherapyallergic rhinitisimmunomodulationnanodurgtargeted delivery

Identifiers

PMID42368400
PMCPMC13308731

What Socratic holds

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LicenceCC BY-NC
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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.