Quantifying HTLV-I Dynamics
Overview
Cell Biology
Authors
Affiliations
Despite significant advances in our understanding of the immune response to persistent viruses like human T-cell lymphotropic virus type I (HTLV-I), many important questions remain unanswered. Mathematical modelling enables us to interpret and synthesise diverse experimental data in new ways and thus can contribute to our understanding. Here, we review recent advances in mathematical modelling of HTLV-I infection and illustrate how mathematics has enabled us to identify factors that determine an individual's viral burden and risk of developing HTLV-I-associated diseases.
Stability of a discrete HTLV-1/SARS-CoV-2 dual infection model.
Alshaikh M, Aljahdali A Heliyon. 2024; 10(7):e28178.
PMID: 39668935 PMC: 11636898. DOI: 10.1016/j.heliyon.2024.e28178.
Modeling and analysis of a within-host HIV/HTLV-I co-infection.
Elaiw A, AlShamrani N Bol Soc Mat Mex. 2021; 27(2):38.
PMID: 33814640 PMC: 8005865. DOI: 10.1007/s40590-021-00330-6.
Akondy R, Johnson P, Nakaya H, Edupuganti S, Mulligan M, Lawson B Proc Natl Acad Sci U S A. 2015; 112(10):3050-5.
PMID: 25713354 PMC: 4364194. DOI: 10.1073/pnas.1500475112.
Viral kinetic modeling: state of the art.
Canini L, Perelson A J Pharmacokinet Pharmacodyn. 2014; 41(5):431-43.
PMID: 24961742 PMC: 4210370. DOI: 10.1007/s10928-014-9363-3.
HTLV-1 clonality in adult T-cell leukaemia and non-malignant HTLV-1 infection.
Bangham C, Cook L, Melamed A Semin Cancer Biol. 2013; 26:89-98.
PMID: 24316494 PMC: 4062949. DOI: 10.1016/j.semcancer.2013.11.003.