Verma2016 - HIV and HPV co-infection, T-cell response
Ontology highlight
ABSTRACT:
SUBMITTER: 
Meghna Verma
PROVIDER: BIOMD0000000872 | BioModels | 2024-09-02
REPOSITORIES: BioModels
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Project description:The model is the second model of the publication "Modeling the role of lanthionine synthetase C-like 2 (LANCL2) in the modulation of immune responses to Helicobacter pylori infection" published in PlosOne by Leber, Bassaganya-Riera, Tubau-Juni, Zoccoli-Rodriguez, Viladomiu, Abedi, Lu, and Hontecillas.
Abstract:
Immune responses to Helicobacter pylori are orchestrated through complex balances of host-bacterial interactions, including inflammatory and regulatory immune responses across scales that can lead to the development of the gastric disease or the promotion of beneficial systemic effects. While inflammation in response to the bacterium has been reasonably characterized, the regulatory pathways that contribute to preventing inflammatory events during H. pylori infection are incompletely understood. To aid in this effort, we have generated a computational model incorporating recent developments in the understanding of H. pylori-host interactions. Sensitivity analysis of this model reveals that a regulatory macrophage population is critical in maintaining high H. pylori colonization without the generation of an inflammatory response. To address how this myeloid cell subset arises, we developed a second model describing an intracellular signaling network for the differentiation of macrophages. Modeling studies predicted that LANCL2 is a central regulator of inflammatory and effector pathways and its activation promotes regulatory responses characterized by IL-10 production while suppressing effector responses. The predicted impairment of regulatory macrophage differentiation by the loss of LANCL2 was simulated based on multiscale linkages between the tissue-level gastric mucosa and the intracellular models. The simulated deletion of LANCL2 resulted in a greater clearance of H. pylori, but also greater IFNγ responses and damage to the epithelium. The model predictions were validated within a mouse model of H. pylori colonization in wild-type (WT), LANCL2 whole body KO and myeloid-specific LANCL2-/- (LANCL2Myeloid) mice, which displayed similar decreases in H. pylori burden, CX3CR1+ IL-10-producing macrophages, and type 1 regulatory (Tr1) T cells. This study shows the importance of LANCL2 in the induction of regulatory responses in macrophages and T cells during H. pylori infection.
2016-12-01 | MODEL1611160001 | BioModels
Project description:The model is first model of tissue level cellular immune responses to H. pylori in the publication, "Modeling the role of lanthionine synthetase C-like 2 (LANCL2) in the modulation of immune responses to Helicobacter pylori infection" in PlosOne by Leber, Bassaganya-Riera, Tubau-Juni, Zoccoli-Rodriguez, Viladomiu, Abedi, Lu, and Hontecillas.
Abstract:
Immune responses to Helicobacter pylori are orchestrated through complex balances of host-bacterial interactions, including inflammatory and regulatory immune responses across scales that can lead to the development of the gastric disease or the promotion of beneficial systemic effects. While inflammation in response to the bacterium has been reasonably characterized, the regulatory pathways that contribute to preventing inflammatory events during H. pylori infection are incompletely understood. To aid in this effort, we have generated a computational model incorporating recent developments in the understanding of H. pylori-host interactions. Sensitivity analysis of this model reveals that a regulatory macrophage population is critical in maintaining high H. pylori colonization without the generation of an inflammatory response. To address how this myeloid cell subset arises, we developed a second model describing an intracellular signaling network for the differentiation of macrophages. Modeling studies predicted that LANCL2 is a central regulator of inflammatory and effector pathways and its activation promotes regulatory responses characterized by IL-10 production while suppressing effector responses. The predicted impairment of regulatory macrophage differentiation by the loss of LANCL2 was simulated based on multiscale linkages between the tissue-level gastric mucosa and the intracellular models. The simulated deletion of LANCL2 resulted in a greater clearance of H. pylori, but also greater IFNγ responses and damage to the epithelium. The model predictions were validated within a mouse model of H. pylori colonization in wild-type (WT), LANCL2 whole body KO and myeloid-specific LANCL2-/- (LANCL2Myeloid) mice, which displayed similar decreases in H. pylori burden, CX3CR1+ IL-10-producing macrophages, and type 1 regulatory (Tr1) T cells. This study shows the importance of LANCL2 in the induction of regulatory responses in macrophages and T cells during H. pylori infection.
2016-12-01 | MODEL1611160002 | BioModels
Project description:Leber2016 - Expanded model of Tfh-Tfr
differentiation - Helicobacter pylori infection
The parameters used in the model were
obtained from experiments conducted by the authors, previous
publications [
1,
2,
3] and
parameter optimisation carried out in the paper using particle
swarm and genetic algorithms.
This model is described in the article:
Bistability analyses of CD4+
T follicular helper and regulatory cells during Helicobacter
pylori infection.
Leber A, Abedi V, Hontecillas R,
Viladomiu M, Hoops S, Ciupe S, Caughman J, Andrew T,
Bassaganya-Riera J.
J. Theor. Biol. 2016 Jun; 398:
74-84
Abstract:
T follicular helper (Tfh) cells are a highly plastic subset
of CD4+ T cells specialized in providing B cell help and
promoting inflammatory and effector responses during infectious
and immune-mediate diseases. Helicobacter pylori is the
dominant member of the gastric microbiota and exerts both
beneficial and harmful effects on the host. Chronic
inflammation in the context of H. pylori has been linked to an
upregulation in T helper (Th)1 and Th17 CD4+ T cell phenotypes,
controlled in part by the cytokine, interleukin-21. This study
investigates the differentiation and regulation of Tfh cells,
major producers of IL-21, in the immune response to H. pylori
challenge. To better understand the conditions influencing the
promotion and inhibition of a chronically elevated Tfh
population, we used top-down and bottom-up approaches to
develop computational models of Tfh and T follicular regulatory
(Tfr) cell differentiation. Stability analysis was used to
characterize the presence of two bi-stable steady states in the
calibrated Tfh/Tfr models. Stochastic simulation was used to
illustrate the ability of the parameter set to dictate two
distinct behavioral patterns. Furthermore, sensitivity analysis
helped identify the importance of various parameters on the
establishment of Tfh and Tfr cell populations. The core network
model was expanded into a more comprehensive and predictive
model by including cytokine production and signaling pathways.
From the expanded network, the interaction between TGFB-Induced
Factor Homeobox 1 (Tgif1) and the retinoid X receptor (RXR) was
displayed to exert control over the determination of the Tfh
response. Model simulations predict that Tgif1 and RXR
respectively induce and curtail Tfh responses. This
computational hypothesis was validated experimentally by
assaying Tgif1, RXR and Tfh in stomachs of mice infected with
H. pylori.
The impulse of RXR as shown in the paper
(figure 7C) can be implemented by creating an event in the curated
SBML file.
This model is hosted on
BioModels Database
and identified by:
BIOMD0000000625.
To cite BioModels Database, please use:
BioModels Database:
An enhanced, curated and annotated resource for published
quantitative kinetic models.
To the extent possible under law, all copyright and related or
neighbouring rights to this encoded model have been dedicated to
the public domain worldwide. Please refer to
CC0
Public Domain Dedication for more information.
2024-09-02 | BIOMD0000000625 | BioModels
Project description:Leber2015 - Mucosal immunity and gut
microbiome interaction during C. difficile infection
This model is described in the article:
Systems Modeling of
Interactions between Mucosal Immunity and the Gut Microbiome
during Clostridium difficile Infection.
Leber A, Viladomiu M, Hontecillas R,
Abedi V, Philipson C, Hoops S, Howard B, Bassaganya-Riera
J.
PLoS ONE 2015; 10(7): e0134849
Abstract:
Clostridium difficile infections are associated with the use
of broad-spectrum antibiotics and result in an exuberant
inflammatory response, leading to nosocomial diarrhea, colitis
and even death. To better understand the dynamics of mucosal
immunity during C. difficile infection from initiation through
expansion to resolution, we built a computational model of the
mucosal immune response to the bacterium. The model was
calibrated using data from a mouse model of C. difficile
infection. The model demonstrates a crucial role of T helper 17
(Th17) effector responses in the colonic lamina propria and
luminal commensal bacteria populations in the clearance of C.
difficile and colonic pathology, whereas regulatory T (Treg)
cells responses are associated with the recovery phase. In
addition, the production of anti-microbial peptides by inflamed
epithelial cells and activated neutrophils in response to C.
difficile infection inhibit the re-growth of beneficial
commensal bacterial species. Computational simulations suggest
that the removal of neutrophil and epithelial cell derived
anti-microbial inhibitions, separately and together, on
commensal bacterial regrowth promote recovery and minimize
colonic inflammatory pathology. Simulation results predict a
decrease in colonic inflammatory markers, such as neutrophilic
influx and Th17 cells in the colonic lamina propria, and length
of infection with accelerated commensal bacteria re-growth
through altered anti-microbial inhibition. Computational
modeling provides novel insights on the therapeutic value of
repopulating the colonic microbiome and inducing regulatory
mucosal immune responses during C. difficile infection. Thus,
modeling mucosal immunity-gut microbiota interactions has the
potential to guide the development of targeted fecal
transplantation therapies in the context of precision medicine
interventions.
This model is hosted on
BioModels Database
and identified by:
BIOMD0000000583.
To cite BioModels Database, please use:
BioModels Database:
An enhanced, curated and annotated resource for published
quantitative kinetic models.
To the extent possible under law, all copyright and related or
neighbouring rights to this encoded model have been dedicated to
the public domain worldwide. Please refer to
CC0
Public Domain Dedication for more information.
2024-09-02 | BIOMD0000000583 | BioModels
Project description:Downregulation of specific proteins named scramblases might enhance tumour immunosuppression. In this paper the authors first show that the scramblase Xrk8 is overexpressed in tumour cells upon treatment with chemotherapeutics, and then developed a nanomedicine platform for co-delivery of a cancer pro-drug and of a siRNA directed against the Xrk8 gene, showing therapeutic effect and enhanced immune response in animal tumour models.
2022-11-18 | GSE214881 | GEO
Project description:There is an ongoing debate whether sex hormones impact risk of HIV transmission. This study evaluated if serum estradiol (E2) and progesterone (P4) levels predict the ex vivo cervical tissue HIV infection, tissue immune environment and transcriptome. Cervical mucosa and peripheral blood samples were collected from subjects undergoing total hysterectomies. Tissue explants were challenged with HIV-1BaL and infection was monitored in the supernatants by HIV gag qRT-PCR. Serum E2 and P4 concentrations were measured by radioimmunoassay. Blood and tissue T cell phenotypes were characterized by flow cytometry. Tissue responses to HIV exposure were measured by Luminex. Tissue transcriptome in an unchallenged portion of mucosa was analyzed by RNAseq. We show that serum E2 concentrations inversely associated with cervical HIV-1BaL infection ex vivo and this association was independent of potential confounders (race, age, phase of the cycle, parakeratosis, metaplasia, histopathological signs of cervical inflammation, and HSV-2 status). E2 concentrations did not associate with T cell frequencies/phenotype in either tissues or blood. However, higher E2 concentrations predicted a mixed profile of pro-/anti-inflammatory genes expression and HIV-induced soluble mediators. In contrast, P4 concentrations or P4/E2 ratios did not associate with ex vivo tissue infection level, but increased P4 concentrations associated with high frequencies of a4b7+ and low LFA-1+ T cells and mainly pro-inflammatory responses to HIV. These data suggest inhibitory effect of E2 on local mucosal HIV amplification early post transmission, provide insights in the mechanism of E2-mediated anti-HIV activity and highlight P4-associated immune changes in the mucosa.
2020-06-15 | GSE100094 | GEO
Project description:The rectal mucosa is a critical site of HIV vulnerability. We sought to identify transcriptomic features of rectal mucosal tissue prior to exposure associated with support or restriction of HIV replication. For the first time, we identified rectal tissue transcriptomic signatures associated with increased p24 production utilizing an ex-vivo model. Our findings are highly relevant to HIV transmission and the early establishment of HIV reservoirs in humans.
2022-08-26 | GSE211922 | GEO
Project description:The mechanisms by which HIV increases susceptibility to tuberculosis and other respiratory infections are incompletely understood. We used transcriptomics of paired whole bronchoalveolar lavage (BAL) fluid and peripheral blood mononuclear cells to compare the effect of HIV at the lung mucosal surface and in the peripheral blood. The large majority of HIV-induced differentially expressed genes (DEGs) were specific to either the peripheral or lung mucosa compartments (1,307/1,404, 93%). Type I interferon signaling was the dominant signature of DEGs in HIV-positive blood with a less dominant and qualitatively distinct type I interferon gene set expression pattern in HIV-positive BAL. DEGs in the HIV-positive BAL were significantly enriched for infiltration with cytotoxic CD8+ T cells. Higher expression of representative transcripts and proteins in BAL CD8+ T cells during HIV infection, including IFNG (IFN-), GZMB (Granzyme B) and PDCD1 (PD-1), was confirmed by cell-subset specific transcriptional analysis and flow cytometry. Thus, we report that a whole transcriptomic approach revealed qualitatively distinct effects of HIV in blood and bronchoalveolar compartments. Further work exploring the impact of distinct type I interferon programs and CD8+ T cells infiltration of the lung mucosa during HIV infection may provide novel insights into HIV-induced susceptibility to respiratory pathogens.
2020-05-26 | GSE139327 | GEO
Project description:Schlafen-5 (SLFN5) is an interferon-induced protein of the Schlafen family which are involved in immune responses and oncogenesis. To date, little is known regarding its anti-HIV-1 function. Here, the authors report that overexpression of SLFN5 inhibits HIV-1 replication and reduces viral mRNA levels, whereas depletion of endogenous SLFN5 promotes HIV-1 replication. Moreover, they show that SLFN5 markedly decreases the transcriptional activity of HIV-1 long terminal repeat (LTR) via binding to two sequences in the U5-R region, which consequently represses the recruitment of RNA polymerase Ⅱ to the transcription initiation site. Mutagenesis studies show the importance of nuclear localization and the N-terminal 1-570 amino acids fragment in the inhibition of HIV-1. Further mechanistic studies demonstrate that SLFN5 interacts with components of the PRC2 complex, G9a and Histone H3, thereby promoting H3K27me2 and H3K27me3 modification leading to silencing HIV-1 transcription. In concert with this, they find that SLFN5 blocks the activation of latent HIV-1. Altogether, their findings demonstrate that SLFN5 is a transcriptional repressor of HIV-1 through epigenetic modulation and a potential determinant of HIV-1 latency.
2022-05-24 | GSE197700 | GEO
Project description:Mucosa-associated invariant T (MAIT) cells recognize microbial-derived riboflavin metabolites presented by the evolutionarily conserved MR1 molecule. Their persistent loss in chronic HIV-1 infection is a significant insult to antimicrobial immune defenses. Here we explore MAIT cell dynamics in the critical acute stages of HIV-1 infection for the first time
2019-02-20 | GSE126752 | GEO