Integrative causal inference and predictive modeling reveal the iron-related gene SLC17A4 as a key biomarker in chronic rhinosinusitis

TSAT confers protective effects in CRS, and SLC17A4 represents a promising biomarker and therapeutic target. The integrative strategy combining causal inference, transcriptomic validation, molecular docking, and machine learning modeling links iron homeostasis to CRS pathophysiology and demonstrates translational potential through clinically applicable predictive models.

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Publication Details

Journal
Frontiers in Immunology
Published
2026-01-14
DOI
https://doi.org/10.3389/fimmu.2025.1645726
Primary Topic
Sinusitis and nasal conditions
Type
article
Field-Weighted Citation Impact
0.00
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article

Integrative causal inference and predictive modeling reveal the iron-related gene SLC17A4 as a key biomarker in chronic rhinosinusitis

Feifei Jiang, Jiajia Lv
Frontiers in Immunology
Sinusitis and nasal conditions
article

Integrative causal inference and predictive modeling reveal the iron-related gene SLC17A4 as a key biomarker in chronic rhinosinusitis

Feifei Jiang, Jiajia Lv
article en

Abstract

TSAT confers protective effects in CRS, and SLC17A4 represents a promising biomarker and therapeutic target. The integrative strategy combining causal inference, transcriptomic validation, molecular docking, and machine learning modeling links iron homeostasis to CRS pathophysiology and demonstrates translational potential through clinically applicable predictive models.

Frontiers in ImmunologyVol. 16
First Hospital of China Medical University (CN), China Medical University (CN)
Openalex Percentile: Top 89%
Sinusitis and nasal conditions
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