ReviewFrontiers in allergy2026
Recent advances in biomarkers for efficacy assessment in allergen-specific immunotherapy.
Review in Frontiers in allergy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Allergen-specific immunotherapy (AIT) is a disease-modifying therapeutic approach that addresses the fundamental etiology of allergic diseases by inducing immune tolerance through modulation of the immune system. Nevertheless, assessing AIT efficacy necessitates long-term treatment, underscoring the need for reliable predictive biomarkers. This review summarizes the recent advances in biomarker research for predicting the effectiveness of AIT, including immunoglobulins, cellular parameters, functional cytokine assays, and provocation tests. This study aims to predict the efficacy of AIT treatment early by classifying and evaluating biomarkers. Combining immunoglobulins, such as sIgE and tIgE, and their ratios, along with cytokine levels (e.g., IL-10, IL-35), could be used to predict clinical efficacy and to construct a composite prediction scoring system for improved accuracy. Monitoring of changes in sIgE, sIgG4, sIgG2, cellular markers, and cellular functions (e.g., BAT, ECP, cytokines) should be implemented to assess patient adherence and guide therapy, as they are closely associated with clinical outcomes. Although multiple biomarkers show promising potential, a standardized, unified panel of biological parameters has not yet been established. Future research should integrate multi-omics technologies, combine provocation tests with clinical evaluations, and develop accurate predictive models and more reliable, stable biomarkers for the evaluation of AIT efficacy.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.