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      SARS-CoV-2 papain-like protease activates nociceptors to drive sneeze and pain

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          Abstract

          SARS-CoV-2, the virus responsible for COVID-19, triggers symptoms such as sneezing, aches and pain. 1 These symptoms are mediated by a subset of sensory neurons, known as nociceptors, that detect noxious stimuli, densely innervate the airway epithelium, and interact with airway resident epithelial and immune cells. 26 However, the mechanisms by which viral infection activates these neurons to trigger pain and airway reflexes are unknown. Here, we show that the coronavirus papain-like protease (PLpro) directly activates airway-innervating trigeminal and vagal nociceptors in mice and human iPSC-derived nociceptors. PLpro elicits sneezing and acute pain in mice and triggers the release of neuropeptide calcitonin gene-related peptide (CGRP) from airway afferents. We find that PLpro-induced sneeze and pain requires the host TRPA1 ion channel that has been previously demonstrated to mediate pain, cough, and airway inflammation. 79 Our findings are the first demonstration of a viral product that directly activates sensory neurons to trigger pain and airway reflexes and highlight a new role for PLpro and nociceptors in COVID-19.

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          Pathogen recognition and innate immunity.

          Microorganisms that invade a vertebrate host are initially recognized by the innate immune system through germline-encoded pattern-recognition receptors (PRRs). Several classes of PRRs, including Toll-like receptors and cytoplasmic receptors, recognize distinct microbial components and directly activate immune cells. Exposure of immune cells to the ligands of these receptors activates intracellular signaling cascades that rapidly induce the expression of a variety of overlapping and unique genes involved in the inflammatory and immune responses. New insights into innate immunity are changing the way we think about pathogenesis and the treatment of infectious diseases, allergy, and autoimmunity.
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            Attributes and predictors of long COVID

            Reports of long-lasting coronavirus disease 2019 (COVID-19) symptoms, the so-called 'long COVID', are rising but little is known about prevalence, risk factors or whether it is possible to predict a protracted course early in the disease. We analyzed data from 4,182 incident cases of COVID-19 in which individuals self-reported their symptoms prospectively in the COVID Symptom Study app1. A total of 558 (13.3%) participants reported symptoms lasting ≥28 days, 189 (4.5%) for ≥8 weeks and 95 (2.3%) for ≥12 weeks. Long COVID was characterized by symptoms of fatigue, headache, dyspnea and anosmia and was more likely with increasing age and body mass index and female sex. Experiencing more than five symptoms during the first week of illness was associated with long COVID (odds ratio = 3.53 (2.76-4.50)). A simple model to distinguish between short COVID and long COVID at 7 days (total sample size, n = 2,149) showed an area under the curve of the receiver operating characteristic curve of 76%, with replication in an independent sample of 2,472 individuals who were positive for severe acute respiratory syndrome coronavirus 2. This model could be used to identify individuals at risk of long COVID for trials of prevention or treatment and to plan education and rehabilitation services.
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              Quantitative assessment of tactile allodynia in the rat paw

              We applied and validated a quantitative allodynia assessment technique, using a recently developed rat surgical neuropathy model wherein nocifensive behaviors are evoked by light touch to the paw. Employing von Frey hairs from 0.41 to 15.1 g, we first characterized the percent response at each stimulus intensity. A smooth log-linear relationship was observed, with a median 50% threshold at 1.97 g (95% confidence limits, 1.12-3.57 g). Subsequently, we applied a paradigm using stimulus oscillation around the response threshold, which allowed more rapid, efficient measurements. Median 50% threshold by this up-down method was 2.4 g (1.81-2.76). Correlation coefficient between the two methods was 0.91. In neuropathic rats, good intra- and inter-observer reproducibility was found for the up-down paradigm; some variability was seen in normal rats, attributable to extensive testing. Thresholds in a sizable group of neuropathic rats showed insignificant variability over 20 days. After 50 days, 61% still met strict neuropathy criteria, using survival analysis. Threshold measurement using the up-down paradigm, in combination with the neuropathic pain model, represents a powerful tool for analyzing the effects of manipulations of the neuropathic pain state.
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                Author and article information

                Journal
                bioRxiv
                BIORXIV
                bioRxiv
                Cold Spring Harbor Laboratory
                11 January 2024
                : 2024.01.10.575114
                Affiliations
                [1 ]Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA
                [2 ]Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA
                [3 ]Department of Bioengineering, University of California, Berkeley, Berkeley, CA
                [4 ]Howard Hughes Medical Institute
                [5 ]Pain Research Center, Department of Molecular Pathobiology, New York University College of Dentistry, New York, NY
                Author notes

                Author contributions:

                S.S.M. and D.M.B conceived the project and designed experiments. S.S.M led and performed experiments, analyzed data, and prepared figures. R.S. and C.V. performed paw and cheek behavior experiments. U.V., R.S., and S.S.M. performed intranasal behavior scoring. M.C. performed and J.S.C. supervised infection experiments. Z.G. performed RNAseq analysis. Y.M. performed pilot and provided technical assistance for in vivo imaging experiments. S.S.M. and D.M.B wrote the manuscript with input from all authors.

                [* ]Correspondence should be addressed to: dbautista@ 123456berkeley.edu
                Author information
                http://orcid.org/0000-0003-0737-813X
                http://orcid.org/0000-0003-1167-6287
                http://orcid.org/0000-0002-0600-1253
                http://orcid.org/0000-0002-5061-6618
                http://orcid.org/0000-0002-6809-8951
                Article
                10.1101/2024.01.10.575114
                10802627
                38260476
                b514ec72-a31e-42b0-9f5c-6ba5dfb003c4

                This work is licensed under a Creative Commons Attribution 4.0 International License, which allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use.

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