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Uropathogenic (UPEC) is the major causative agent of uncomplicated urinary tract infections (UTIs). A common virulence genotype of UPEC strains responsible for UTIs is yet to be defined, due to the large variation of virulence factors observed in UPEC strains. We hypothesized that studying UPEC functional responses in patients might reveal universal UPEC features that enable pathogenesis. Here we identify a transcriptional program shared by genetically diverse UPEC strains isolated from 14 patients during uncomplicated UTIs. Strikingly, this in vivo gene expression program is marked by upregulation of translational machinery, providing a mechanism for the rapid growth within the host. Our analysis indicates that switching to a more specialized catabolism and scavenging lifestyle in the host allows for the increased translational output. Our study identifies a common transcriptional program underlying UTIs and illuminates the molecular underpinnings that likely facilitate the fast growth rate of UPEC in infected patients.
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http://dx.doi.org/10.7554/eLife.49748 | DOI Listing |
Am J Physiol Heart Circ Physiol
September 2025
Division of Pediatric Critical Care, Department of Pediatrics, University of California, San Francisco, USA.
Right ventricular (RV) failure is the primary cause of death among patients with pulmonary arterial hypertension (PAH). Patients with congenital heart disease-associated PAH (CHD-PAH) demonstrate improved outcomes compared to patients with other forms of PAH, which is related to the maintenance of an adaptively hypertrophied RV. In an ovine model of CHD-PAH, we aimed to elucidate the cellular, microvascular, and transcriptional adaptations to congenital pressure overload that support RV function.
View Article and Find Full Text PDFRNA Biol
September 2025
Department of Stem Cell Biology, School of Medicine, Konkuk University, Seoul, Republic of Korea.
Neural stem cells (NSCs) are multipotent stem cells with self-renewal capacity, able to differentiate into all neural lineages of the central nervous system, including neurons, oligodendrocytes, and astrocytes; thus, their proliferation and differentiation are essential for embryonic neurodevelopment and adult brain homoeostasis. Dysregulation in these processes is implicated in neurological disorders, highlighting the need to elucidate how NSCs proliferate and differentiate to clarify the mechanisms of neurogenesis and uncover potential therapeutic targets. MicroRNAs (miRNAs) are small, post-transcriptional regulators of gene expression involved in many aspects of nervous system development and function.
View Article and Find Full Text PDFJ Neurooncol
September 2025
Department of Neurological Surgery, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Purpose: NOTCH3 is increasingly implicated for its oncogenic role in many malignancies, including meningiomas. While prior work has linked NOTCH3 expression to higher-grade meningiomas and treatment resistance, the metabolic phenotype of NOTCH3 activation remains unexplored in meningioma.
Methods: We performed single-cell RNA sequencing on NOTCH3 + human meningioma cell lines.
Virchows Arch
September 2025
Ningbo Clinical Pathology Diagnosis Center, #685 Huancheng North Road, Ningbo, Zhejiang, 315000, China.
The spindle cell variant of papillary thyroid carcinoma (PTC) is exceptionally rare and poses significant diagnostic challenges due to its morphological overlap with other spindle cell lesions of the thyroid. We report a novel case of spindle cell variant PTC in a 66-year-old woman presenting with a TI-RADS 4 thyroid nodule, initially classified as Bethesda III on fine-needle aspiration. Histopathological examination revealed a biphasic tumor composed predominantly of bland spindle cells arranged in solid sheets and fascicles, admixed with entrapped thyroid follicles.
View Article and Find Full Text PDFNucleic Acids Res
September 2025
School of Software, Shandong University, Jinan 250101, Shandong, China.
Spatial transcriptomics (ST) reveals gene expression distributions within tissues. Yet, predicting spatial gene expression from histological images still faces the challenges of limited ST data that lack prior knowledge, and insufficient capturing of inter-slice heterogeneity and intra-slice complexity. To tackle these challenges, we introduce FmH2ST, a foundation model-based method for spatial gene expression prediction.
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