Peripheral T Cell Development and Immunophenotyping of Twins with Heterozygous FOXN1 Mutations.
Kelsey VossTodd BartkowiakAllison E SewellChanning ChiMadelyn D LandisSamuel G SchaeferHeather H PuaJames A ConnellyJonathan Michael IrishJeffrey C RathmellSaara KavianyPublished in: ImmunoHorizons (2024)
The transcription factor FOXN1 plays an established role in thymic epithelial development to mediate selection of maturing thymocytes. Patients with heterozygous loss-of-function FOXN1 variants are associated with T cell lymphopenia at birth and low TCR excision circles that can ultimately recover. Although CD4+ T cell reconstitution in these patients is not completely understood, a lower proportion of naive T cells in adults has suggested a role for homeostatic proliferation. In this study, we present an immunophenotyping study of fraternal twins with low TCR excision circles at birth. Targeted primary immunodeficiency testing revealed a heterozygous variant of uncertain significance in FOXN1 (c.1205del, p.Pro402Leufs*148). We present the immune phenotypes of these two patients, as well as their father who carries the same FOXN1 variant, to demonstrate an evolving immune environment over time. While FOXN1 haploinsufficiency may contribute to thymic defects and T cell lymphopenia, we characterized the transcriptional activity and DNA binding of the heterozygous FOXN1 variant in 293T cells and found the FOXN1 variant to have different effects across several target genes. These data suggest multiple mechanisms for similar FOXN1 variants pathogenicity that may be mutation specific. Increased understanding of how these variants drive transcriptional regulation to impact immune cell populations will guide the potential need for therapeutics, risk for infection or autoimmunity over time, and help inform clinical decisions for other variants that might arise.
Keyphrases
- transcription factor
- end stage renal disease
- dna binding
- early onset
- ejection fraction
- newly diagnosed
- copy number
- chronic kidney disease
- prognostic factors
- gestational age
- genome wide
- regulatory t cells
- gene expression
- machine learning
- pregnant women
- risk assessment
- drug delivery
- pseudomonas aeruginosa
- small molecule
- big data
- immune response
- human health