ABSTRACT
Diarrhea occurs in 2-50% of cases of COVID-19 ([~]8% is average across series). The diarrhea does not appear to account for the disease mortality and its contribution to the morbidity has not been defined, even though it is a component of Long Covid or post-infectious aspects of the disease. Even less is known about the pathophysiologic mechanism of the diarrhea. To begin to understand the pathophysiology of COVID-19 diarrhea, we exposed human enteroid monolayers obtained from five healthy subjects and made from duodenum, jejunum, and proximal colon to live SARS-CoV-2 and virus like particles (VLPs) made from exosomes expressing SARS-CoV-2 structural proteins (Spike, Nucleocapsid, Membrane and Envelope). Results: 1) Live virus was exposed apically for 90 min, then washed out and studied 2 and 5 days later. SARS-Cov-2 was taken up by enteroids and live virus was present in lysates and in the apical>>basolateral media of polarized enteroids 48 h after exposure. This is the first demonstration of basolateral appearance of live virus after apical exposure. High vRNA concentration was detected in cell lysates and in the apical and basolateral media up to 5 days after exposure. 2) Two days after viral exposure, cytokine measurements of media showed significantly increased levels of IL-6, IL-8 and MCP-1. 3) Two days after viral exposure, mRNA levels of ACE2, NHE3 and DRA were reduced but there was no change in mRNA of CFTR. NHE3 protein was also decreased. 4) Live viral studies were mimicked by some studies with VLP exposure for 48 h. VLPs with Spike-D614G bound to the enteroid apical surface and was taken up; this resulted in decreased mRNA levels of ACE2, NHE3, DRA and CFTR. 4) VLP effects were determined on active anion secretion measured with the Ussing chamber/voltage clamp technique. S-D614G acutely exposed to apical surface of human ileal enteroids did not alter the short-circuit current (Isc). However, VLPS-D614G exposure to enteroids that were pretreated for [~]24 h with IL-6 plus IL-8 induced a concentration dependent increase in Isc indicating stimulated anion secretion, that was delayed in onset by [~]8 min. The anion secretion was inhibited by apical exposure to a specific calcium activated Cl channel (CaCC) inhibitor (AO1) but not by a specific CFTR inhibitor (BP027); was inhibited by basolateral exposure to the K channel inhibit clortimazole; and was prevented by pretreatment with the calcium buffer BAPTA-AM. 5) The calcium dependence of the VLP-induced increase in Isc was studied in Caco-2/BBe cells stably expressing the genetically encoded Ca2+ sensor GCaMP6s. 24 h pretreatment with IL-6/IL-8 did not alter intracellular Ca2+. However, in IL-6/IL-8 pretreated cells, VLP S-D614G caused appearance of Ca2+waves and an overall increase in intracellular Ca2+ with a delay of [~]10 min after VLP addition. We conclude that the diarrhea of COVID-19 appears to an example of a calcium dependent inflammatory diarrhea that involves both acutely stimulated Ca2+ dependent anion secretion (stimulated Isc) that involves CaCC and likely inhibition of neutral NaCl absorption (decreased NHE3 protein and mRNA and decreased DRA mRNA).
ABSTRACT
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a pathogen of immense public health concern. Efforts to control the disease have only proven mildly successful, and the disease will likely continue to cause excessive fatalities until effective preventative measures (such as a vaccine) are developed. To develop disease management strategies, a better understanding of SARS-CoV-2 pathogenesis and population susceptibility to infection are needed. To this end, physiologically-relevant mathematical modeling can provide a robust in silico tool to understand COVID-19 pathophysiology and the in vivo dynamics of SARS-CoV-2. Guided by ACE2-tropism (ACE2 receptor dependency for infection) of the virus, and by incorporating cellular-scale viral dynamics and innate and adaptive immune responses, we have developed a multiscale mechanistic model for simulating the time-dependent evolution of viral load distribution in susceptible organs of the body (respiratory tract, gut, liver, spleen, heart, kidneys, and brain). Following calibration with in vivo and clinical data, we used the model to simulate viral load progression in a virtual patient with varying degrees of compromised immune status. Further, we conducted global sensitivity analysis of model parameters and ranked them for their significance in governing clearance of viral load to understand the effects of physiological factors and underlying conditions on viral load dynamics. Antiviral drug therapy, interferon therapy, and their combination was simulated to study the effects on viral load kinetics of SARS-CoV-2. The model revealed the dominant role of innate immunity (specifically interferons and resident macrophages) in controlling viral load, and the impotance of timing when initiating therapy following infection. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=118 SRC="FIGDIR/small/20215335v1_ufig1.gif" ALT="Figure 1"> View larger version (43K): org.highwire.dtl.DTLVardef@54d70eorg.highwire.dtl.DTLVardef@1f2f0ecorg.highwire.dtl.DTLVardef@a71f28org.highwire.dtl.DTLVardef@1eeaeb8_HPS_FORMAT_FIGEXP M_FIG C_FIG