Dataset Information

Lim2014 - HTLV-I infection A dynamic struggle between viral persistence and host immunity

ABSTRACT: This is a four-dimensional, non-linear system of ordinary differential equations that describes the dynamic interactions among viral expression, infected target cell activation, and the HTLV-I-specific CTL response.

SUBMITTER: Johannes Meyer

PROVIDER: BIOMD0000000887 | BioModels | 2024-09-02

REPOSITORIES: BioModels

ACCESS DATA

Dataset's files

Source:

			Action	DRS
	BIOMD0000000887?filename=Lim2014-biopax2.owl	Owl
	BIOMD0000000887?filename=Lim2014-biopax3.owl	Owl
	BIOMD0000000887?filename=Lim2014-matlab.m	Other
	BIOMD0000000887?filename=Lim2014-octave.m	Other
	BIOMD0000000887?filename=Lim2014.cps	Other

Items per page:

1 - 5 of 12

Publications

HTLV-I infection: a dynamic struggle between viral persistence and host immunity.

Lim Aaron G AG Maini Philip K PK

Journal of theoretical biology 20140228

Human T-lymphotropic virus type I (HTLV-I) causes chronic infection for which there is no cure or neutralising vaccine. HTLV-I has been clinically linked to the development of adult T-cell leukaemia/lymphoma (ATL), an aggressive blood cancer, and HAM/TSP, a progressive neurological and inflammatory disease. Infected individuals typically mount a large, persistently activated CD8(+) cytotoxic T-lymphocyte (CTL) response against HTLV-I-infected cells, but ultimately fail to effectively eliminate t ...[more]

PMID: 24583256

Publication: 1/2

Similar Datasets

Project description:COVID-19 is a pandemic that shares only certain clinical characteristics with other acute viral infections. Here, we studied the whole-blood transcriptomic host response to SARS-CoV-2 and compared it with other viral infections to understand similarities and differences in host response. We profiled peripheral blood from 24 healthy controls and 62 prospectively enrolled patients with community-acquired lower respiratory tract infection by SARS-Cov-2 within the first 24 hours of hospital admission using RNA-seq. We also collected 23 independent studies that profiled 1,855 blood samples from patients with one of six viruses (influenza, RSV, HRV, Ebola, Dengue, and SARS). We identified differentially expressed genes that change in patients with COVID-19 or other viral infections. We show changes in gene expression in peripheral blood from patients with COVID-19 are highly correlated with changes in response to other viral infections (r=0.74, p<0.001). However, two genes, ACO1 and ATL3, show significantly different changes in expression. Pathway analysis of differentially expressed genes in patients with COVID-19 or other viral infections versus healthy controls also identified similar pathways including neutrophil activation, innate immune response, immune response to viral infection, and cytokine production for over-expressed genes, as well as lymphocyte differentiation and T cell activation for under-expressed genes. When comparing transcriptome profiles of patients with COVID-19 directly with those with other viral infections, we found 114 and 302 genes were over- and under-expressed, respectively during COVID-19. Pathways analysis did not identify any significant pathways in these genes. Statistical deconvolution using immunoStates found that M1 macrophages, plasmacytoid dendritic cells, CD14+ monocytes, CD4+ T cells, and total B cells showed changes consistently in the same direction across all viral infections including COVID-19. Those that increased in COVID-19 but decreased in non-COVID were CD56bright NK cells, M2 macrophages, and total NK cells. The concordant and discordant responses mapped out via such a comparison provides a window to explore the underlying biology of why COVID-19 is so different from other viral infections encountered so far. Together, results from pathway and immunoStates analyses help dissect major shifts in cellularity and activation of signaling pathways as part of host response to SARS-CoV-2

Project description:Environmental variation has important effects on host-pathogen interactions, affecting large-scale ecological processes such as the severity and frequency of epidemics. However, less is known about how the environment interacts with host immunity to modulate virus fitness within hosts. Here, we studied the interaction between host immune responses and water temperature on the long-term persistence of a model vertebrate virus, infectious hematopoietic necrosis virus (IHNV) in steelhead trout (Oncorhynchus mykiss). We first used cell culture methods to factor out strong host immune responses, allowing us to test the effect of temperature on viral replication. We found that 15 ∘C water temperature accelerated IHNV replication compared to the colder 10 and 8 ∘C temperatures. We then conducted in vivo experiments to quantify the effect of 6, 10, and 15 ∘C water temperatures on IHNV persistence over 8 months. Fish held at 15 and 10 ∘C were found to have higher prevalence of neutralizing antibodies compared to fish held at 6 ∘C. We found that IHNV persisted for a shorter time at warmer temperatures and resulted in an overall lower fish mortality compared to colder temperatures. These results support the hypothesis that temperature and host immune responses interact to modulate virus persistence within hosts. When immune responses were minimized (i.e., in vitro) virus replication was higher at warmer temperatures. However, with a full potential for host immune responses (i.e., in vivo experiments) longer virus persistence and higher long-term virulence was favored in colder temperatures. We also found that the viral RNA that persisted at later time points (179 and 270 days post-exposure) was mostly localized in the kidney and spleen tissues. These tissues are composed of hematopoietic cells that are favored targets of the virus. By partitioning the effect of temperature on host and pathogen responses, our results help to better understand environmental drivers of host-pathogen interactions within hosts, providing insights into potential host-pathogen responses to climate change.