Genetic tools that target mechanoreceptors produce reliable labeling of bladder afferents
Tran, E. L.; Stuedemann, S. A.; Link, O. D.; Crawford, L. K.
Show abstract
Mechanosensitive bladder sensory neurons are critical for sensing bladder distention, but their role in bladder pain and bladder pathology is poorly understood, due in part, to the challenges of identifying mechanoreceptors in tissue sections. A lot of what is known about how disease alters sensory innervation of the bladder comes from studies that traditionally focus on nociceptive nerve terminals. In seeking tools to characterize the role of non-nociceptive afferents in the bladder, we first examined neurofilament heavy (NFH), a marker for medium to large-diameter myelinated A fibers, in combination with the common marker for peptidergic nociceptors, calcitonin gene-related peptide (CGRP). While there was partial overlap between NFH and CGRP, 87% of NFH fibers were CGRP-negative, underscoring the abundance of non-nociceptive A fibers nerve terminals in the bladder. Two mouse lines that have been used for genetic labeling of mechanoreceptors of the skin were tested for their ability to label bladder afferents. Once crossed to Cre-dependent reporter lines, tyrosine kinase B (TrkB) TrkBCreER2 mice can be used to label A-delta mechanoreceptors while receptor tyrosine kinase ret protooncogene (Ret) RetCreER2 mice can label a combination of A-beta mechanoreceptors and non-peptidergic nociceptors in adult mice (late Ret). Both mouse lines produced successful labeling of bladder nerve terminals demonstrating partial overlap with NFH and minimal overlap with CGRP. Thus, we have identified new genetic strategies to investigate CGRP-negative subpopulations of bladder afferents that remain largely uncharacterized in studies that target peptidergic nociceptors. These tools can help elucidate the role of mechanosensitive afferents in bladder pathophysiology and urologic chronic pain.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Emx1-Cre is expressed in peripheral autonomic ganglia that regulate central cardiorespiratory functions 94%
- Investigating Mechanically Activated Currents from Trigeminal Neurons of Non-Human Primates 94%
- Kv3 channels contribute to the excitability of sub-populations of spinal cord neurons in lamina VII 94%
Similar papers in this journal
- Unique molecular characteristics of visceral afferents arising from different levels of the neuraxis: location of afferent somata predicts function and stimulus detection modalities 97%
- Activation of MrgprA3 and MrgprC11 on bladder-innervating afferents induces peripheral and central hypersensitivity to bladder distension 96%
- Parabrachial nucleus activity in nociception and pain in awake mice 94%
Similar papers in this journal
- Pruriception and neuronal coding in nociceptor subtypes in human and nonhuman primates 94%
- Nav1.1 is essential for proprioceptive signaling and motor behaviors 93%
- Cellular characterization of the mouse collecting lymphatic vessels reveals that lymphatic muscle cells are the innate pacemaker cells 93%
Similar papers in this journal
- Altered sensory neuron development in CMT2D mice is site-specific and linked to increased GlyRS levels 92%
- Passive clearing and 3D lightsheet imaging of the intact and injured spinal cord in mice 91%
- Synaptic vesicle release regulates pre-myelinating oligodendrocyte-axon interactions in a neuron subtype-specific manner 91%
Similar papers in this journal
- A 3D atlas of sexually dimorphic lumbosacral motor neurons that control and integrate pelvic visceral and somatic functions in rats 95%
- Convergence of peptidergic and non-peptidergic protein markers in the human dorsal root ganglion and spinal dorsal horn 94%
- Glutamatergic and GABAergic synapses in the human spinal dorsal horn revealed with immunohistochemistry 93%
"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.