PMID- 17372609
OWN - NLM
STAT- MEDLINE
DCOM- 20070709
LR  - 20180822
IS  - 0818-9641 (Print)
IS  - 0818-9641 (Linking)
VI  - 85
IP  - 4
DP  - 2007 Jun
TI  - Quantifying HTLV-I dynamics.
PG  - 280-6
AB  - 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.
FAU - Asquith, Becca
AU  - Asquith B
AD  - Department of Immunology, Imperial College London, London, UK. 
      b.asquith@imperial.ac.uk
FAU - Bangham, Charles R M
AU  - Bangham CR
LA  - eng
PT  - Journal Article
PT  - Review
DEP - 20070320
PL  - United States
TA  - Immunol Cell Biol
JT  - Immunology and cell biology
JID - 8706300
SB  - IM
MH  - CD4-Positive T-Lymphocytes/*immunology
MH  - CD8-Positive T-Lymphocytes/*immunology
MH  - Cytotoxicity Tests, Immunologic
MH  - HTLV-I Infections/*immunology/*virology
MH  - Human T-lymphotropic virus 1/*immunology/physiology
MH  - Humans
MH  - *Models, Biological
MH  - Viral Load
RF  - 46
EDAT- 2007/03/21 09:00
MHDA- 2007/07/10 09:00
CRDT- 2007/03/21 09:00
PHST- 2007/03/21 09:00 [pubmed]
PHST- 2007/07/10 09:00 [medline]
PHST- 2007/03/21 09:00 [entrez]
AID - 7100050 [pii]
AID - 10.1038/sj.icb.7100050 [doi]
PST - ppublish
SO  - Immunol Cell Biol. 2007 Jun;85(4):280-6. doi: 10.1038/sj.icb.7100050. Epub 2007 
      Mar 20.