# ITGA4 genetic variants as a predictor of therapeutic responsivity to autoimmune diseases

**Authors:** Matheus D. De Matos, Bárbara D. Guimenes, Giovanni K. Pavani, Gabriel Gripp Fernandes, Guilherme C. Montes, Fabrícia L. Fontes-Dantas

PMC · DOI: 10.3389/fphar.2025.1745315 · 2026-01-08

## TL;DR

This paper explores how genetic variations in the ITGA4 gene may predict how well patients respond to autoimmune disease treatments.

## Contribution

The paper provides a comprehensive review of ITGA4 genetic variants and their role in therapeutic response and disease outcomes in autoimmune disorders.

## Key findings

- ITGA4 genetic variants are linked to disease susceptibility and progression in autoimmune and neuroinflammatory disorders.
- Variability in response to α4 integrin inhibitors like natalizumab suggests a role for ITGA4 pharmacogenetics.
- Multi-omic and in silico approaches are proposed to translate ITGA4 variants into predictive biomarkers for personalized therapy.

## Abstract

Integrins are pivotal adhesion receptors that mediate dynamic communication between cells and their surrounding environment. Through bidirectional signaling, they regulate key physiological processes such as cell migration, inflammation, and tissue organization. Among them, the α4 integrin subunit, encoded by the ITGA4 gene, forms α4β1 (VLA-4) and α4β7 heterodimers, both essential for leukocyte adhesion and migration across inflamed tissues and blood–brain barrier. Variability in therapeutic response to α4 integrin inhibitors, such natalizumab, highlights the need to clarify the genetic and molecular determinants that regulate ITGA4 function. This mini review provides an updated overview of ITGA4 from historical, biological, and pharmacogenetic perspectives. We summarize current evidence linking ITGA4 genetic variants with disease susceptibility, progression, and therapeutic outcomes in autoimmune and neuroinflammatory disorders. Finally, we discuss existing limitations, population inconsistencies, and emerging strategies integrating multi-omic and in silico analyses to translate ITGA4 variants into predictive biomarkers for personalized immunotherapy.

## Linked entities

- **Genes:** ITGA4 (integrin subunit alpha 4) [NCBI Gene 3676]

## Full-text entities

- **Genes:** ITGA4 (integrin subunit alpha 4) [NCBI Gene 3676] {aka CD49D, IA4}
- **Diseases:** autoimmune diseases (MESH:D001327), autoimmune and neuroinflammatory disorders (MESH:D000090862), inflammation (MESH:D007249)
- **Chemicals:** natalizumab (MESH:D000069442)

## Figures

1 figure with captions in the complete paper: https://tomesphere.com/paper/PMC12824010/full.md

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Source: https://tomesphere.com/paper/PMC12824010