Single-nucleus transcriptomics illuminates sex differences during murine Escherichia coli pyelonephritis

There are profound sex differences in the prevalence and outcomes of urinary tract infections (UTI). While females comprise the majority of infections, males exhibit higher morbidity and mortality with upper-tract UTI. Correspondingly, preclinical modeling has demonstrated that male and androgen-exposed female mice are highly susceptible to severe high-titer pyelonephritis, a phenotype observed in < 20% of females. Here we subject kidneys from female, male, and androgen-exposed female C3H/HeN mice with pyelonephritis and PBS-exposed control mice to single-nucleus RNA sequencing, creating (to our knowledge) the first whole-kidney single-nucleus transcriptomic dataset reflecting an infected state, comprising 248,483 nuclei. We differentiate healthy cell populations from those affected during UTI and show sex-discrepant responses that extend to kidney cell types beyond those directly interacting with bacteria. Female responses to UTI comprise a more limited range of cell types exhibiting significant upregulation of genes within KEGG pathways and pro-inflammatory transcription factor regulons. Meanwhile, males evidence predisposition to injury pathways even with control (saline) inoculation and responded to UTI with less intensity but across more cell types than females. In total, these data illuminate sex-discrepant transcriptional responses and outcomes in renal infection and enable detailed dissection of these responses at the cellular and molecular level.

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Publication Details

Journal
Communications Biology
Published
2026-03-31
DOI
https://doi.org/10.1038/s42003-026-09946-8
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
0.00

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article

Single-nucleus transcriptomics illuminates sex differences during murine Escherichia coli pyelonephritis

David A. Hunstad, Teri N. Hreha, Benjamin D. Humphreys, Christina A. Collins et al.
Communications Biology
Single-cell and spatial transcriptomics
article

Single-nucleus transcriptomics illuminates sex differences during murine Escherichia coli pyelonephritis

David A. Hunstad, Teri N. Hreha, Benjamin D. Humphreys, Christina A. Collins, Ashlee M. Earl, Abigail L. Manson, Haojia Wu, Christophe Georgescu
article en

Abstract

There are profound sex differences in the prevalence and outcomes of urinary tract infections (UTI). While females comprise the majority of infections, males exhibit higher morbidity and mortality with upper-tract UTI. Correspondingly, preclinical modeling has demonstrated that male and androgen-exposed female mice are highly susceptible to severe high-titer pyelonephritis, a phenotype observed in < 20% of females. Here we subject kidneys from female, male, and androgen-exposed female C3H/HeN mice with pyelonephritis and PBS-exposed control mice to single-nucleus RNA sequencing, creating (to our knowledge) the first whole-kidney single-nucleus transcriptomic dataset reflecting an infected state, comprising 248,483 nuclei. We differentiate healthy cell populations from those affected during UTI and show sex-discrepant responses that extend to kidney cell types beyond those directly interacting with bacteria. Female responses to UTI comprise a more limited range of cell types exhibiting significant upregulation of genes within KEGG pathways and pro-inflammatory transcription factor regulons. Meanwhile, males evidence predisposition to injury pathways even with control (saline) inoculation and responded to UTI with less intensity but across more cell types than females. In total, these data illuminate sex-discrepant transcriptional responses and outcomes in renal infection and enable detailed dissection of these responses at the cellular and molecular level.

Communications Biology
Broad Institute (US), University of Southern Denmark (DK), Washington University in St. Louis (US)
Children's Discovery Institute, National Institutes of Health, National Institute of Allergy and Infectious Diseases, National Institute of Diabetes and Digestive and Kidney Diseases
Good health and well-being
Openalex Percentile: Top 27%
Single-cell and spatial transcriptomics
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