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Detection of Invasive Pulmonary Aspergillosis in Haematological Malignancy Patients by using Lateral-flow Technology

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Published on: March 22, 2012

Treatment Monitoring and Outcome Prediction in Invasive Aspergillosis Using Immunologic Markers.

Ana Pereira^1,2, Jennifer Scott^1,2, Andrei Sarlea³

¹Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal.

The Journal of Infectious Diseases

|March 4, 2026

Summary

This summary is machine-generated.

New immune markers show promise for monitoring invasive aspergillosis (IA) treatment and predicting patient survival. These host biomarkers could improve outcomes for IA patients with hematological malignancies.

Keywords:

aspergillosis biomarkers invasive fungal infections proteomics treatment monitoring

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Published on: September 18, 2021

Area of Science:

Immunology
Mycology
Hematology

Background:

Invasive aspergillosis (IA) presents a significant mortality risk despite antifungal treatments.
Current biomarkers for IA treatment monitoring and outcome prediction are insufficient.
Host biomarkers have shown potential in other fungal infections but not yet in IA.

Purpose of the Study:

To identify circulating immunological biomarkers for monitoring IA treatment response.
To discover host biomarkers for predicting patient outcomes in IA.

Main Methods:

Prospective multicenter study of 51 patients with probable or proven IA and hematological malignancies.
Serial serum samples analyzed using the Olink Target 96 Inflammation panel.
Differential expression and survival analyses to identify biomarkers for treatment response and survival.

Main Results:

Early treatment showed upregulated proteins in improving patients, except CCL23.
Several proteins correlated with the need for salvage antifungal therapy.
MMP-10 predicted late treatment response; low CXCL6 and MMP-10 levels correlated with higher survival probability.

Conclusions:

Dynamic regulation of immune markers aids in predicting antifungal treatment responses.
Specific biomarkers can be used for different assessment goals.
Further validation is needed to establish clinical utility.