Literature DB >> 26253038

Mathematical Model of Oxygen Transport in Tuberculosis Granulomas.

Meenal Datta1,2, Laura E Via3,4, Wei Chen1,5, James W Baish6, Lei Xu1, Clifton E Barry3,4, Rakesh K Jain7.   

Abstract

Pulmonary granulomas--the hallmark of Mycobacterium tuberculosis (MTB) infection--are dense cellular lesions that often feature regions of hypoxia and necrosis, partially due to limited transport of oxygen. Low oxygen in granulomas can impair the host immune response, while MTB are able to adapt and persist in hypoxic environments. Here, we used a physiologically based mathematical model of oxygen diffusion and consumption to calculate oxygen profiles within the granuloma, assuming Michaelis-Menten kinetics. An approximate analytical solution--using a priori and newly estimated parameters from experimental data in a rabbit model of tuberculosis--was able to predict the size of hypoxic and necrotic regions in agreement with experimental results from the animal model. Such quantitative understanding of transport limitations can inform future tuberculosis therapeutic strategies that may include adjunct host-directed therapies that facilitate oxygen and drug delivery for more effective treatment.

Entities:  

Keywords:  Diffusion; Michaelis–Menten kinetics; Mycobacterium tuberculosis; Pimonidazole; Rabbit model

Mesh:

Substances:

Year:  2015        PMID: 26253038      PMCID: PMC4795989          DOI: 10.1007/s10439-015-1415-3

Source DB:  PubMed          Journal:  Ann Biomed Eng        ISSN: 0090-6964            Impact factor:   3.934


  51 in total

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Authors:  Calvin Boon; Thomas Dick
Journal:  J Bacteriol       Date:  2002-12       Impact factor: 3.490

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Journal:  Growth       Date:  1975-03

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Journal:  J Cell Physiol       Date:  1992-05       Impact factor: 6.384

4.  Scaling rules for diffusive drug delivery in tumor and normal tissues.

Authors:  James W Baish; Triantafyllos Stylianopoulos; Ryan M Lanning; Walid S Kamoun; Dai Fukumura; Lance L Munn; Rakesh K Jain
Journal:  Proc Natl Acad Sci U S A       Date:  2011-01-11       Impact factor: 11.205

5.  Factors modulating the oxygen dependence of mitochondrial oxidative phosphorylation.

Authors:  D F Wilson; W L Rumsey
Journal:  Adv Exp Med Biol       Date:  1988       Impact factor: 2.622

6.  Michaelis-Menten kinetics model of oxygen consumption by rat brain slices following hypoxia.

Authors:  A J McGoron; P Nair; R W Schubert
Journal:  Ann Biomed Eng       Date:  1997 May-Jun       Impact factor: 3.934

7.  Hypoxia and vascular endothelial growth factor expression in human squamous cell carcinomas using pimonidazole as a hypoxia marker.

Authors:  J A Raleigh; D P Calkins-Adams; L H Rinker; C A Ballenger; M C Weissler; W C Fowler; D B Novotny; M A Varia
Journal:  Cancer Res       Date:  1998-09-01       Impact factor: 12.701

8.  Analysis of oxygen transport to tumor tissue by microvascular networks.

Authors:  T W Secomb; R Hsu; M W Dewhirst; B Klitzman; J F Gross
Journal:  Int J Radiat Oncol Biol Phys       Date:  1993-02-15       Impact factor: 7.038

9.  The oxygen dependence of mitochondrial oxidative phosphorylation measured by a new optical method for measuring oxygen concentration.

Authors:  D F Wilson; W L Rumsey; T J Green; J M Vanderkooi
Journal:  J Biol Chem       Date:  1988-02-25       Impact factor: 5.157

10.  Noninvasive measurement of microvascular and interstitial oxygen profiles in a human tumor in SCID mice.

Authors:  I P Torres Filho; M Leunig; F Yuan; M Intaglietta; R K Jain
Journal:  Proc Natl Acad Sci U S A       Date:  1994-03-15       Impact factor: 11.205

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  14 in total

1.  A review of computational and mathematical modeling contributions to our understanding of Mycobacterium tuberculosis within-host infection and treatment.

Authors:  Denise Kirschner; Elsje Pienaar; Simeone Marino; Jennifer J Linderman
Journal:  Curr Opin Syst Biol       Date:  2017-05-22

2.  In vivo mimicking model for solid tumor towards hydromechanics of tissue deformation and creation of necrosis.

Authors:  Bibaswan Dey; G P Raja Sekhar; Sourav Kanti Mukhopadhyay
Journal:  J Biol Phys       Date:  2018-05-28       Impact factor: 1.365

3.  Host-pathogen redox dynamics modulate Mycobacterium tuberculosis pathogenesis.

Authors:  Hayden T Pacl; Vineel P Reddy; Vikram Saini; Krishna C Chinta; Adrie J C Steyn
Journal:  Pathog Dis       Date:  2018-07-01       Impact factor: 3.166

4.  Multiscale Model of Mycobacterium tuberculosis Infection Maps Metabolite and Gene Perturbations to Granuloma Sterilization Predictions.

Authors:  Elsje Pienaar; William M Matern; Jennifer J Linderman; Joel S Bader; Denise E Kirschner
Journal:  Infect Immun       Date:  2016-04-22       Impact factor: 3.441

Review 5.  Cavitary tuberculosis: the gateway of disease transmission.

Authors:  Michael E Urbanowski; Alvaro A Ordonez; Camilo A Ruiz-Bedoya; Sanjay K Jain; William R Bishai
Journal:  Lancet Infect Dis       Date:  2020-05-05       Impact factor: 25.071

6.  Nomogram for the Individualized Prediction of Survival Among Patients with H7N9 Infection.

Authors:  Qinglin Cheng; Zhou Sun; Gang Zhao; Li Xie
Journal:  Risk Manag Healthc Policy       Date:  2020-03-20

7.  Modeling Granulomas in Response to Infection in the Lung.

Authors:  Wenrui Hao; Larry S Schlesinger; Avner Friedman
Journal:  PLoS One       Date:  2016-03-17       Impact factor: 3.240

Review 8.  Experimental Models of Foamy Macrophages and Approaches for Dissecting the Mechanisms of Lipid Accumulation and Consumption during Dormancy and Reactivation of Tuberculosis.

Authors:  Pierre Santucci; Feriel Bouzid; Nabil Smichi; Isabelle Poncin; Laurent Kremer; Chantal De Chastellier; Michel Drancourt; Stéphane Canaan
Journal:  Front Cell Infect Microbiol       Date:  2016-10-07       Impact factor: 5.293

9.  Oxygen Modulates the Effectiveness of Granuloma Mediated Host Response to Mycobacterium tuberculosis: A Multiscale Computational Biology Approach.

Authors:  Cheryl L Sershen; Steven J Plimpton; Elebeoba E May
Journal:  Front Cell Infect Microbiol       Date:  2016-02-15       Impact factor: 5.293

10.  Understanding the role of interactions between host and Mycobacterium tuberculosis under hypoxic condition: an in silico approach.

Authors:  Tungadri Bose; Chandrani Das; Anirban Dutta; Vishnuvardhan Mahamkali; Sudipta Sadhu; Sharmila S Mande
Journal:  BMC Genomics       Date:  2018-07-27       Impact factor: 3.969

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