TY - JOUR
T1 - Dynamics of HIV-1 coinfection in different susceptible target cell populations during cell-free infection
AU - Ito, Yusuke
AU - Tauzin, Alexandra
AU - Remion, Azaria
AU - Ejima, Keisuke
AU - Mammano, Fabrizio
AU - Iwami, Shingo
N1 - Funding Information:
This work was supported in part by grants from Agence Nationale de Recherches sur le Sida et les Hépatites Virales (ANRS) and from Sidaction (to F.M.); the JST PRESTO and CREST program (to S.I.); the Japan Society for the Promotion of Science (JSPS) KAKENHI Grant Numbers 16H04845, 16K13777, 15KT0107 and 26287025 (to S.I.); a Grant-in-Aid for Scientific Research on Innovative Areas from Ministry of Education, Culture, Science, Sports, and Technology (MEXT) of Japan 16H06429, 16K21723, 17H05819 and 18H05103 (to S.I.); J-PRIDE 17fm0208006h0001, 17fm0208019h0101, 17fm0208014h0001 and Program on the Innovative Development and the Application of New Drugs for Hepatitis B 17fk0310114h0101 and 18fk0210036j0001, AMED (to S.I.); Mitsui Life Social Welfare Foundation (to S.I.); The Shin-Nihon of Advanced Medical Research (to S.I.); GSK Japan Research Grant 2016 (to S.I.); The Mochida Memorial Foundation for Medical and Pharmaceutical Research (to S.I.); Suzuken Memorial Foundation (to S.I.); SEI Group CSR Foundation (to S.I.); Life Science Foundation of Japan (to S.I.); SECOM Science and Technology Foundation (to S.I.): Center for Clinical and Translational Research of Kyushu University Hospital (to S.I.); Kyushu University-initiated venture business seed development program (GAP Fund) (to S.I.); The Japan Prize Foundation (to S.I.).
Funding Information:
This work was supported in part by grants from Agence Nationale de Recherches sur le Sida et les Hépatites Virales ( ANRS ) and from Sidaction (to F.M.); the JST PRESTO and CREST program (to S.I.); the Japan Society for the Promotion of Science (JSPS) KAKENHI Grant Numbers 16H04845 , 16K13777 , 15KT0107 and 26287025 (to S.I.); a Grant-in-Aid for Scientific Research on Innovative Areas from Ministry of Education, Culture, Science, Sports, and Technology ( MEXT ) of Japan 16H06429 , 16K21723 , 17H05819 and 18H05103 (to S.I.); J-PRIDE 17fm0208006h0001, 17fm0208019h0101, 17fm0208014h0001 and Program on the Innovative Development and the Application of New Drugs for Hepatitis B 17fk0310114h0101 and 18fk0210036j0001, AMED (to S.I.); Mitsui Life Social Welfare Foundation (to S.I.); The Shin-Nihon of Advanced Medical Research (to S.I.); GSK Japan Research Grant 2016 (to S.I.); The Mochida Memorial Foundation for Medical and Pharmaceutical Research (to S.I.); Suzuken Memorial Foundation (to S.I.); SEI Group CSR Foundation (to S.I.); Life Science Foundation of Japan (to S.I.); SECOM Science and Technology Foundation (to S.I.): Center for Clinical and Translational Research of Kyushu University Hospital (to S.I.); Kyushu University -initiated venture business seed development program (GAP Fund) (to S.I.); The Japan Prize Foundation (to S.I.).
Publisher Copyright:
© 2018 Elsevier Ltd
PY - 2018/10/14
Y1 - 2018/10/14
N2 - HIV-1 mutations rapidly accumulate through genetic recombination events, which require the infection of a single cell by two virions (coinfection). Accumulation of mutations in the viral population may lead to immune escape and high-level drug resistance. The existence of cell subpopulations characterized by different susceptibility to HIV-1 infection has been proposed as an important parameter driving coinfection (Dang et al., 2004). While the mechanism and the quantification of HIV-1 coinfection have been recently investigated by mathematical models, the detailed dynamics of this process during cell-free infection remains elusive. In this study, we constructed ordinary differential equations considering the heterogeneity of target cell populations during cell-free infection in cell culture, and reproduced the cell culture experimental data. Our mathematical analyses showed that the presence of two differently susceptible target cell subpopulations could explain our experimental datasets, while increasing the number of subpopulations did not improve the fitting. In addition, we quantitatively demonstrated that cells infected by multiple viruses mainly accumulated from one cell subpopulation under cell-free infection conditions. In particular, the frequency of infection events in the more susceptible subpopulation was 6.11-higher than that from the other subpopulation, and 98.3% of coinfected cells emerged from the more susceptible subpopulation. Our mathematical-experimental approach is able to extract such a quantitative information, and can be easily applied to other virus infections.
AB - HIV-1 mutations rapidly accumulate through genetic recombination events, which require the infection of a single cell by two virions (coinfection). Accumulation of mutations in the viral population may lead to immune escape and high-level drug resistance. The existence of cell subpopulations characterized by different susceptibility to HIV-1 infection has been proposed as an important parameter driving coinfection (Dang et al., 2004). While the mechanism and the quantification of HIV-1 coinfection have been recently investigated by mathematical models, the detailed dynamics of this process during cell-free infection remains elusive. In this study, we constructed ordinary differential equations considering the heterogeneity of target cell populations during cell-free infection in cell culture, and reproduced the cell culture experimental data. Our mathematical analyses showed that the presence of two differently susceptible target cell subpopulations could explain our experimental datasets, while increasing the number of subpopulations did not improve the fitting. In addition, we quantitatively demonstrated that cells infected by multiple viruses mainly accumulated from one cell subpopulation under cell-free infection conditions. In particular, the frequency of infection events in the more susceptible subpopulation was 6.11-higher than that from the other subpopulation, and 98.3% of coinfected cells emerged from the more susceptible subpopulation. Our mathematical-experimental approach is able to extract such a quantitative information, and can be easily applied to other virus infections.
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U2 - 10.1016/j.jtbi.2018.06.025
DO - 10.1016/j.jtbi.2018.06.025
M3 - Article
C2 - 30018001
AN - SCOPUS:85049749867
SN - 0022-5193
VL - 455
SP - 39
EP - 46
JO - Journal of Theoretical Biology
JF - Journal of Theoretical Biology
ER -