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      The Dorsal Column Nuclei Scale Mechanical Sensitivity in Naive and Neuropathic Pain States

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          SUMMARY

          Tactile perception relies on reliable transmission and modulation of low-threshold information as it travels from the periphery to the brain. During pathological conditions, tactile stimuli can aberrantly engage nociceptive pathways leading to the perception of touch as pain, known as mechanical allodynia. Two main drivers of peripheral tactile information, low-threshold mechanoreceptors (LTMRs) and postsynaptic dorsal column neurons (PSDCs), terminate in the brainstem dorsal column nuclei (DCN). Activity within the DRG, spinal cord, and DCN have all been implicated in mediating allodynia, yet the DCN remains understudied at the cellular, circuit, and functional levels compared to the other two. Here, we show that the gracile nucleus (Gr) of the DCN mediates tactile sensitivity for low-threshold stimuli and contributes to mechanical allodynia during neuropathic pain in mice. We found that the Gr contains local inhibitory interneurons in addition to thalamus-projecting neurons, which are differentially innervated by primary afferents and spinal inputs. Functional manipulations of these distinct Gr neuronal populations resulted in bidirectional changes to tactile sensitivity, but did not affect noxious mechanical or thermal sensitivity. During neuropathic pain, silencing Gr projection neurons or activating Gr inhibitory neurons was able to reduce tactile hypersensitivity, and enhancing inhibition was able to ameliorate paw withdrawal signatures of neuropathic pain, like shaking. Collectively, these results suggest that the Gr plays a specific role in mediating hypersensitivity to low-threshold, innocuous mechanical stimuli during neuropathic pain, and that Gr activity contributes to affective, pain-associated phenotypes of mechanical allodynia. Therefore, these brainstem circuits work in tandem with traditional spinal circuits underlying allodynia, resulting in enhanced signaling of tactile stimuli in the brain during neuropathic pain.

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          Most cited references174

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          DeepLabCut: markerless pose estimation of user-defined body parts with deep learning

          Quantifying behavior is crucial for many applications in neuroscience. Videography provides easy methods for the observation and recording of animal behavior in diverse settings, yet extracting particular aspects of a behavior for further analysis can be highly time consuming. In motor control studies, humans or other animals are often marked with reflective markers to assist with computer-based tracking, but markers are intrusive, and the number and location of the markers must be determined a priori. Here we present an efficient method for markerless pose estimation based on transfer learning with deep neural networks that achieves excellent results with minimal training data. We demonstrate the versatility of this framework by tracking various body parts in multiple species across a broad collection of behaviors. Remarkably, even when only a small number of frames are labeled (~200), the algorithm achieves excellent tracking performance on test frames that is comparable to human accuracy.
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            Transgenic mice for intersectional targeting of neural sensors and effectors with high specificity and performance.

            An increasingly powerful approach for studying brain circuits relies on targeting genetically encoded sensors and effectors to specific cell types. However, current approaches for this are still limited in functionality and specificity. Here we utilize several intersectional strategies to generate multiple transgenic mouse lines expressing high levels of novel genetic tools with high specificity. We developed driver and double reporter mouse lines and viral vectors using the Cre/Flp and Cre/Dre double recombinase systems and established a new, retargetable genomic locus, TIGRE, which allowed the generation of a large set of Cre/tTA-dependent reporter lines expressing fluorescent proteins, genetically encoded calcium, voltage, or glutamate indicators, and optogenetic effectors, all at substantially higher levels than before. High functionality was shown in example mouse lines for GCaMP6, YCX2.60, VSFP Butterfly 1.2, and Jaws. These novel transgenic lines greatly expand the ability to monitor and manipulate neuronal activities with increased specificity.
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              Spared nerve injury: an animal model of persistent peripheral neuropathic pain.

              Peripheral neuropathic pain is produced by multiple etiological factors that initiate a number of diverse mechanisms operating at different sites and at different times and expressed both within, and across different disease states. Unraveling the mechanisms involved requires laboratory animal models that replicate as far as possible, the different pathophysiological changes present in patients. It is unlikely that a single animal model will include the full range of neuropathic pain mechanisms. A feature of several animal models of peripheral neuropathic pain is partial denervation. In the most frequently used models a mixture of intact and injured fibers is created by loose ligation of either the whole (Bennett GJ, Xie YK. A peripheral mononeuropathy in rat that produces disorders of pain sensation like those seen in man. Pain 1988;33:87-107) or a tight ligation of a part (Seltzer Z, Dubner R, Shir Y. A novel behavioral model of neuropathic pain disorders produced in rats by partial sciatic nerve injury. Pain 1990;43:205-218) of a large peripheral nerve, or a tight ligation of an entire spinal segmental nerve (Kim SH, Chung JM. An experimental model for peripheral neuropathy produced by segmental spinal nerve ligation in the rat. Pain 1992;50:355-363). We have developed a variant of partial denervation, the spared nerve injury model. This involves a lesion of two of the three terminal branches of the sciatic nerve (tibial and common peroneal nerves) leaving the remaining sural nerve intact. The spared nerve injury model differs from the Chung spinal segmental nerve, the Bennett chronic constriction injury and the Seltzer partial sciatic nerve injury models in that the co-mingling of distal intact axons with degenerating axons is restricted, and it permits behavioral testing of the non-injured skin territories adjacent to the denervated areas. The spared nerve injury model results in early ( 6 months), robust (all animals are responders) behavioral modifications. The mechanical (von Frey and pinprick) sensitivity and thermal (hot and cold) responsiveness is increased in the ipsilateral sural and to a lesser extent saphenous territories, without any change in heat thermal thresholds. Crush injury of the tibial and common peroneal nerves produce similar early changes, which return, however to baseline at 7-9 weeks. The spared nerve injury model may provide, therefore, an additional resource for unraveling the mechanisms responsible for the production of neuropathic pain.
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                Author and article information

                Journal
                bioRxiv
                BIORXIV
                bioRxiv
                Cold Spring Harbor Laboratory
                25 April 2024
                : 2024.02.20.581208
                Affiliations
                [1 ]W.M. Keck Center for Collaborative Neuroscience, Rutgers University, The State University of New Jersey, New Brunswick, New Jersey, USA; Cell Biology and Neuroscience Department, Rutgers University, The State University of New Jersey, New Brunswick, New Jersey, USA
                [2 ]Brain Health Institute, Rutgers University, Piscataway, New Jersey, USA
                [3 ]Neuroscience PhD program at Rutgers Robert Wood Johnson Medical School, Piscataway, New Jersey, USA
                [4 ]Molecular Neurobiology Laboratory, Salk Institute for Biological Studies, La Jolla, CA, USA
                [5 ]Human Genetics Institute of New Jersey, Rutgers University, The State University of New Jersey, Piscataway, New Jersey, USA
                [6 ]Burke Neurological Institute, White Plains, New York City, New York, USA
                [7 ]Brain and Mind Research Institute, Weill Cornell Medicine, New York City, New York, USA
                [8 ]Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY, USA; Department of Biological Sciences, Columbia University, New York City, New York, USA
                [9 ]Lead contact
                Author notes
                [*]

                These authors contributed equally to this manuscript

                AUTHOR CONTRIBUTIONS

                A Upadhyay, M.A. Gradwell, and V.E. Abraira conceptualized the study and designed experiments. A. Upadhyay performed and analyzed histology, viral tracing, and behavioral experiments. M.A. Gradwell performed and analyzed electrophysiology experiments. J. Conner performed and analyzed in vivo recordings. K. Patel and C. Azadegan aided with histology and behavioral experiments. F. Imai performed cortical viral injections. A. Sanyal, J.K. Thackray, T.J. Vajtay, and S. Ogundare aided with Deeplabcut tracking and PAWS analysis. J.K. Thackray and A. Sanyal performed B-SOiD analysis. M. Bohic aided with performing injury models. E. Azim, I. Abdus-Saboor, and Y. Yoshida provided feedback and guidance on experimental design and interpretation of results. V.E. Abraira supervised the study. A Upadhyay and M.A. Gradwell wrote the paper with edits from V.E. Abraira. All the authors contributed to its editing.

                Author information
                http://orcid.org/0000-0001-6447-0368
                http://orcid.org/0000-0003-3308-8005
                http://orcid.org/0000-0002-0731-8746
                http://orcid.org/0000-0002-1266-1637
                http://orcid.org/0000-0003-2828-452X
                http://orcid.org/0000-0003-4400-8314
                http://orcid.org/0000-0003-1364-1846
                http://orcid.org/0000-0003-0664-0888
                http://orcid.org/0000-0003-2120-0063
                http://orcid.org/0000-0002-1015-1772
                http://orcid.org/0000-0001-9936-9921
                Article
                10.1101/2024.02.20.581208
                11071288
                38712022
                ada2b614-e8ff-4057-8f60-70398494433e

                This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which allows reusers to copy and distribute the material in any medium or format in unadapted form only, for noncommercial purposes only, and only so long as attribution is given to the creator.

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