Back

Prenatal corticosteroid exposure disrupts vascular-immune interactions and impairs steroidogenesis in the fetal testis

Matsuyama, S.; Hudepohl, L.; Matsuyama, K.; Li, S.-Y.; Ginugu, M.; Gu, X.; Kofron, M. J.; Ravindra, V.; Shoda, T.; DeFalco, T.

2026-01-30 developmental biology
10.64898/2026.01.27.702066 bioRxiv
Show abstract

Antenatal corticosteroid (ACS) therapy, typically using dexamethasone (Dex), is a cornerstone of improving preterm infant survival by accelerating lung maturation. However, its systemic effects on other developing organs remain poorly understood. Here, we reveal a previously unrecognized impact of prenatal Dex exposure on fetal testis development, with implications for long-term male reproductive health. Analysis of fetal testes from a Dex-based ACS mouse model revealed that Dex suppressed androgen synthesis by reducing Leydig cell number and downregulating steroidogenic pathways. Dex also activated immune programs, inducing CD163 M2 macrophages and IL10 signaling, which promoted endothelial expansion. Despite these pro-angiogenic signals, vascular architecture was disrupted: capillary density and pericyte coverage declined, while blood vessel diameter increased. Transcriptomic analyses revealed downregulation of androgen response and cholesterol metabolism pathways, alongside upregulation of immune and coagulation signatures. Analyses of fetal ovaries revealed a sexually dimorphic and organ-specific effect of ACS therapy, in which ovarian gene expression remained unaffected. Our findings uncover an immune-vascular mechanism linking prenatal Dex exposure to impaired steroidogenesis, providing new insight into potentially broad effects of ACS therapy. One Sentence SummaryPrenatal corticosteroid exposure disturbs immune-vascular interactions and suppresses androgen synthesis in the fetal testis, revealing potentially widespread effects of a commonly used therapy.

Matching journals

The top 5 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.