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Related Experiment Video

Updated: Jan 27, 2026

Identification and Characterization of Immunogenic RNA Species in HDM Allergens that Modulate Eosinophilic Lung Inflammation

Identification and Characterization of Immunogenic RNA Species in HDM Allergens that Modulate Eosinophilic Lung Inflammation

Published on: May 30, 2020

Eosinophil levels predict lung function deterioration in apparently healthy individuals.

Udi Shapira¹, Mor Krubiner¹, Michal Ehrenwald¹

¹Department of Internal Medicine C, D and E, Tel Aviv Sourasky Medical Center and Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.

International Journal of Chronic Obstructive Pulmonary Disease

|March 19, 2019

Summary

This summary is machine-generated.

Higher blood eosinophil levels indicate a risk for lung function decline in healthy individuals. Monitoring eosinophils can help predict pulmonary function test deterioration and guide lung health evaluations.

Keywords:

eosinophils inflammation lung function normal population trajectory

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Identification and Characterization of Immunogenic RNA Species in HDM Allergens that Modulate Eosinophilic Lung Inflammation

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Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging

Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging

Published on: June 21, 2024

Area of Science:

Pulmonary Medicine
Hematology
Epidemiology

Background:

Chronic respiratory diseases are a major global health concern.
The impact of blood eosinophil levels on lung function in healthy individuals remains unclear.

Purpose of the Study:

To investigate the association between blood eosinophil levels and lung function trajectories in apparently healthy individuals.
To determine if eosinophil counts predict the decline of pulmonary function over time.

Main Methods:

Analysis of data from 18,089 apparently healthy individuals.
Comparison of blood eosinophil levels between participants with normal and abnormal pulmonary function tests (PFTs).
Multivariate regression to assess the odds ratio (OR) of forced expiratory volume in 1 second (FEV1) deterioration based on baseline eosinophils in individuals with normal PFTs over 4 years.

Main Results:

Individuals with abnormal PFTs had significantly higher blood eosinophil levels compared to those with normal PFTs (P<0.001).
A baseline eosinophil percentage above 4% in individuals with normal PFTs was associated with an increased risk of FEV1 decline (OR=1.199, P=0.044).
This suggests a higher risk for FEV1 decline in subjects with elevated eosinophils.

Conclusions:

Elevated blood eosinophil levels can predict pulmonary function deterioration even in seemingly healthy individuals.
Individuals with higher eosinophil counts may benefit from more frequent lung function monitoring.
Blood eosinophil levels may serve as a predictive biomarker for respiratory health in the general population.