Forecasting the action of CAR-T cells against SARS-corona virus-II infection with branching process

  • Khaled A. Al-Utaibi
  • , Alessandro Nutini*
  • , Ayesha Sohail
  • , Robia Arif
  • , Sümeyye Tunc
  • , Sadiq M. Sait
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

The CAR-T cells are the genetically engineered T cells, designed to work specifically for the virus antigens (or other antigens, such as tumour specific antigens). The CAR-T cells work as the living drug and thus provides an adoptive immunotherapy strategy. The novel corona virus treatment and control designs are still under clinical trials. One of such techniques is the injection of CAR-T cells to fight against the COVID-19 infection. In this manuscript, the hypothesis is based on the CAR-T cells, that are suitably engineered towards SARS-2 viral antigen, by the N protein. The N protein binds to the SARS-2 viral RNA and is found in abundance in this virus, thus for the engineered cell research, this protein sequence is chosen as a potential target. The use of the sub-population of T-reg cells is also outlined. Mathematical modeling of such complex line of action can help to understand the dynamics. The modeling approach is inspired from the probabilistic rules, including the branching process, the Moran process and kinetic models. The Moran processes are well recognized in the fields of artificial intelligence and data science. The model depicts the infectious axis “virus—CAR-T cells—memory cells”. The theoretical analysis provides a positive therapeutic action; the delay in viral production may have a significant impact on the early stages of infection. Although it is necessary to carefully evaluate the possible side effects of therapy. This work introduces the possibility of hypothesizing an antiviral use by CAR-T cells.

Original languageEnglish
Pages (from-to)3413-3421
Number of pages9
JournalModeling Earth Systems and Environment
Volume8
Issue number3
DOIs
StatePublished - Sep 2022

Bibliographical note

Publisher Copyright:
© 2021, The Author(s), under exclusive licence to Springer Nature Switzerland AG.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • CAR-T
  • Mathematical model
  • Moran process
  • Reproductive number
  • SARS-CoV2

ASJC Scopus subject areas

  • General Environmental Science
  • General Agricultural and Biological Sciences
  • Computers in Earth Sciences
  • Statistics, Probability and Uncertainty

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