Data from: de-stabilizing innate immunity in Covid-19: effects of its own positive feedback and erratic viremia on the alternative pathway of complement
Data files
Feb 28, 2024 version files 18.43 MB
Abstract
Complement provides powerful, fast responses in the human circulation to SARS-CoV-2 (Covid-19 virus) infection of the lower respiratory tract. Covid-19 effects were investigated in a revised human in silico Mass Action model of Complement’s Alternative pathway (AP) responses. Bursts of newly circulating virions increased the fission of Complement protein C3 into C3a and C3b via stimulation of the lectin pathway or inhibited Complement factor H. Viral reproduction sub-models incorporated smoothly exponential or step-wise exponential growth. Starting complement protein concentrations were drawn randomly from published normal male or female ranges and each infection model run for 10 days. C3 and factor B (FB) syntheses driven by Lectin Pathway stimulation led to declining plasma C3 and increasing FB concentrations. The C3 convertase concentration, a driver of viral elimination, could match viral growth over three orders of magnitude but near-complete exhaustion of circulating C3 was more prevalent with step-wise than with “smooth” increases in viral stimulation. C3 exhaustion could be prolonged. Type 2 Diabetes and hypertension led to greatly increased peak C3 convertase concentrations, as did short-term variability of Covid-19 viremia, pulmonary capillary clotting and secondary acidosis. Positive feedback in the Alternative pathway greatly extends its response range at the expense of stability.
README: Data from: de-stabilizing innate immunity in Covid-19: effects of its own positive feedback and erratic viremia on the alternative pathway of complement
https://doi.org/10.5061/dryad.jm63xsjhj
Description of the data and file structure
Each jmp file (except the two stubs) contains data representing the evolution over 10 days of modelled alternative pathway protein concentrations in the the human extracellular fluid of one simulated male or female person, either in the healthy steady state or during stimulation via the simulated lectin pathway (or after reduction in simulated factor H concentration) provoked by SARS-Cov2 infection. The individual files are labelled as follows (see "Description of Variables in JMP Spreadsheets.pdf" file for definitions): PR = progressive (exponential growth of coronavirus); SW = Stepwise - mostly tenfold - "instantaneous" growth of coronavirus, per 2 days (along an exponential 10-fold per two day pathway) see model description in Methods); First, Second, Third etc when each simulation was repeated twenty times to model inter-individual variation, each simulation was given a serial number; Male, Female indicates starting values derived from sex specific data; in the event of clotting being programmed the number following "clotting" defines the proportion, as the reciprocal of this number, of the infected lobules remaining patent after a clotting event.
Code/Software
JMP13
Methods
The data was collected over a half century by many scientists and published in the available literature. It includes normal protein concentrations with their inter-individual variability (statistical distributions, where available). Also included are data on enzyme kinetics related to the processing of these proteins in health and disease.