A Mathematical Model of the Immune System's Role in Obesity-Related Chronic Inflammation

Díaz, Pablo Uriel; Gillespie, Michael; Krueger, Justin; Pérez, José L.; Radebaugh, Alex; Shearman, Toby; Vo, Garret; Wheatley, Christine L.

doi:10.1137/08s010323

Cited by 5 publications

(5 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These changes can better mimic the biological interactions in an organism. Currently, models are designed to simulate the biological data only over a fixed time period 135 . There are no data for extended time spans available to validate the models.…”

Section: Conclusion and Discussionmentioning

confidence: 99%

“…Drug response to a host’s immune system can be better studied through computational models. The effect of drug administration can be added to model the immune system to find the drug efficacy 135 …”

Section: Conclusion and Discussionmentioning

confidence: 99%

“…Currently, models are designed to simulate the biological data only over a fixed time period. 135 There are no data for extended time spans available to validate the models. This limits the accuracy of the results.…”

Section: Conclusion and Discussionmentioning

confidence: 99%

“…The effect of drug administration can be added to model the immune system to find the drug efficacy. 135 Moreover, the field of immune system modelling provides ideas about the dose composition, drug dosage duration, age of the patient and other parameters. It can give new suggestions for the study of immune system function and drug function to treat certain diseases.…”

Section: Conclusion and Discussionmentioning

confidence: 99%

See 3 more Smart Citations

Immunoinformatics: an integrated scenario

Tomar

2010

Immunology

133

View full text Add to dashboard Cite

SummaryGenome sequencing of humans and other organisms has led to the accumulation of huge amounts of data, which include immunologically relevant data. A large volume of clinical data has been deposited in several immunological databases and as a result immunoinformatics has emerged as an important field which acts as an intersection between experimental immunology and computational approaches. It not only helps in dealing with the huge amount of data but also plays a role in defining new hypotheses related to immune responses. This article reviews classical immunology, different databases and prediction tools. It also describes applications of immunoinformatics in designing in silico vaccination and immune system modelling. All these efforts save time and reduce cost.

show abstract

Section: Conclusion and Discussionmentioning

confidence: 99%

Section: Conclusion and Discussionmentioning

confidence: 99%

Section: Conclusion and Discussionmentioning

confidence: 99%

Section: Conclusion and Discussionmentioning

confidence: 99%

See 2 more Smart Citations

Immunoinformatics: an integrated scenario

Tomar

2010

Immunology

133

View full text Add to dashboard Cite

show abstract

“…However, many other signaling mechanisms could affect the efficacy of vascular-targeted therapies, like the competition between pro- and anti-angiogenic VEGF-A isoforms, cross-family PDGF-VEGFR2 signaling, and paracrine signaling between the endothelium and adipocytes/macrophages, as we detailed earlier. To more accurately predict how obese adipose tissue responds to vascular-targeted therapies, future models should integrate the ODEs that have been developed to model: the impact of VEGFR heterogeneity on anti-VEGF efficacy ( Weddell and Imoukhuede, 2014 ) the differential VEGF signal transduction by VEGFR homo- and hetero-dimers ( Mac Gabhann and Popel, 2007 ; Mamer et al, 2019b ), the significance of VEGF-A 165b in ischemic conditions ( Chu et al, 2016 ; Clegg et al, 2017 ), the effect of cross-family PDGF-VEGFR binding on VEGFR occupancy ( Mamer et al, 2017 ), the VEGFR mechanisms inducing macrophage migration ( Weddell et al, 2018 ), the recruitment of macrophages to the lymphatic endothelium ( Bianchi et al, 2015 ), and the pro- and anti-inflammatory signaling of adipose tissue macrophages ( Díaz et al, 2009 ). Modeling these molecules, interactions, and cell responses would allow us to determine which mechanisms in adipose tissue could be targeted to normalize VEGF:VEGFR signaling in obesity.…”

Section: Systems Biology Provides a Platform For Investigating Vasculmentioning

confidence: 99%

Systems Biology Will Direct Vascular-Targeted Therapy for Obesity

2020

View full text Add to dashboard Cite

Healthy adipose tissue expansion and metabolism during weight gain require coordinated angiogenesis and lymphangiogenesis. These vascular growth processes rely on the vascular endothelial growth factor (VEGF) family of ligands and receptors (VEGFRs). Several studies have shown that controlling vascular growth by regulating VEGF:VEGFR signaling can be beneficial for treating obesity; however, dysregulated angiogenesis and lymphangiogenesis are associated with several chronic tissue inflammation symptoms, including hypoxia, immune cell accumulation, and fibrosis, leading to obesity-related metabolic disorders. An ideal obesity treatment should minimize adipose tissue expansion and the advent of adverse metabolic consequences, which could be achieved by normalizing VEGF:VEGFR signaling. Toward this goal, a systematic investigation of the interdependency of vascular and metabolic systems in obesity and tools to predict personalized treatment ranges are necessary to improve patient outcomes through vascular-targeted therapies. Systems biology can identify the critical VEGF:VEGFR signaling mechanisms that can be targeted to regress adipose tissue expansion and can predict the metabolic consequences of different vasculartargeted approaches. Establishing a predictive, biologically faithful platform requires appropriate computational models and quantitative tissue-specific data. Here, we discuss the involvement of VEGF:VEGFR signaling in angiogenesis, lymphangiogenesis, adipogenesis, and macrophage specification-key mechanisms that regulate adipose tissue expansion and metabolism. We then provide useful computational approaches for simulating these mechanisms, and detail quantitative techniques for acquiring tissuespecific parameters. Systems biology, through computational models and quantitative data, will enable an accurate representation of obese adipose tissue that can be used to direct the development of vascular-targeted therapies for obesity and associated metabolic disorders.

show abstract

Immunoinformatics: A Brief Review

Tomar

2014

Methods in Molecular Biology

View full text Add to dashboard Cite

A large volume of data relevant to immunology research has accumulated due to sequencing of genomes of the human and other model organisms. At the same time, huge amounts of clinical and epidemiologic data are being deposited in various scientific literature and clinical records. This accumulation of the information is like a goldmine for researchers looking for mechanisms of immune function and disease pathogenesis. Thus the need to handle this rapidly growing immunological resource has given rise to the field known as immunoinformatics. Immunoinformatics, otherwise known as computational immunology, is the interface between computer science and experimental immunology. It represents the use of computational methods and resources for the understanding of immunological information. It not only helps in dealing with huge amount of data but also plays a great role in defining new hypotheses related to immune responses. This chapter reviews classical immunology, different databases, and prediction tool. Further, it briefly describes applications of immunoinformatics in reverse vaccinology, immune system modeling, and cancer diagnosis and therapy. It also explores the idea of integrating immunoinformatics with systems biology for the development of personalized medicine. All these efforts save time and cost to a great extent.

show abstract

A Mathematical Model of the Immune System's Role in Obesity-Related Chronic Inflammation

Cited by 5 publications

References 12 publications

Immunoinformatics: an integrated scenario

Immunoinformatics: an integrated scenario

Systems Biology Will Direct Vascular-Targeted Therapy for Obesity

Immunoinformatics: A Brief Review

Contact Info

Product

Resources

About