Nirschl, J. J. | Search bioRxiv

bioRxiv2026

Amyloid-beta is present in the spinal cord of APP/PS1 mice and may contribute to neuropathology manifesting as lower urinary tract dysfunction

Urinary incontinence (UI) is a common and debilitating comorbidity in Alzheimers disease (AD), yet its underlying pathophysiology remains poorly defined. While UI in dementia has traditionally been attributed to functional impairment, emerging clinical and urodynamic data suggest that neurologic mechanisms may contribute to lower urinary tract dysfunction in this population. Here, we investigated urinary function and neuropathological changes in aged APP/PS1 mice (AD mice), a widely used model of amyloid pathology. Using functional voiding assays, we identified a pattern of urinary dysfunction characterized by increased urinary frequency, small-volume voiding, shortened void duration, and reduced bladder compliance in the absence of bladder outlet obstruction or gross changes in bladder or prostate morphology. These findings are most consistent with a storage-phase abnormality accompanied by impaired voiding coordination rather than classic detrusor overactivity or underactivity. We examined spinal cord and peripheral components involved in bladder innervation and identified amyloid-beta deposition throughout the thoracolumbar and lumbosacral spinal cord, dorsal root ganglia, ventral roots, cauda equina, and associated meningeal structures in AD mice. Importantly, amyloid deposition was accompanied by reduced expression of vesicular acetylcholine transporter and decreased neuronal activation in bladder-innervating pathways, without evidence of increased apoptosis. Taken together, these data demonstrate that AD mice develop a mixed lower urinary tract dysfunction phenotype associated with amyloid-beta deposition and altered neuronal signaling within the spinal cord and peripheral micturition pathways. These findings support a neurogenic contribution to urinary dysfunction in AD and highlight the spinal cord as a novel site of pathology that may influence urinary symptoms in Alzheimers dementia.

neuroscience↗

bioRxiv2022

Learning orientation-invariant representations enables accurate and robust morphologic profiling of cells and organelles

Cell and organelle morphology are driven by diverse genetic and environmental factors and thus accurate quantification of cellular phenotypes is essential to experimental cell biology. Representation learning methods for phenotypic profiling map images to feature vectors that form an embedding space of morphological variation useful for clustering, dimensionality reduction, outlier detection, and supervised learning problems. Morphology properties do not change with orientation, and thus we argue that representation learning methods should encode this orientation invariance. We show that prior methods are sensitive to orientation, which can lead to suboptimal clustering. To address this issue, we develop O2-VAE, an unsupervised learning method that learns robust, orientation-invariant representations. We use O2-VAE to discover novel morphology subgroups in segmented cells and mitochondria, detect outlier cells, and rapidly characterise cellular shape and texture in large datasets, including in a newly generated synthetic benchmark.

bioinformatics↗