Literature DB >> 22379032

Differential risk of tuberculosis reactivation among anti-TNF therapies is due to drug binding kinetics and permeability.

Mohammad Fallahi-Sichani1, JoAnne L Flynn, Jennifer J Linderman, Denise E Kirschner.   

Abstract

Increased rates of tuberculosis (TB) reactivation have been reported in humans treated with TNF-α (TNF)-neutralizing drugs, and higher rates are observed with anti-TNF Abs (e.g., infliximab) as compared with TNF receptor fusion protein (etanercept). Mechanisms driving differential reactivation rates and differences in drug action are not known. We use a computational model of a TB granuloma formation that includes TNF/TNF receptor dynamics to elucidate these mechanisms. Our analyses yield three important insights. First, drug binding to membrane-bound TNF critically impairs granuloma function. Second, a higher risk of reactivation induced from Ab-type treatments is primarily due to differences in TNF/drug binding kinetics and permeability. Apoptotic and cytolytic activities of Abs and pharmacokinetic fluctuations in blood concentration of drug are not essential to inducing TB reactivation. Third, we predict specific host factors that, if augmented, would improve granuloma function during anti-TNF therapy. Our findings have implications for the development of safer anti-TNF drugs to treat inflammatory diseases.

Entities:  

Mesh:

Substances:

Year:  2012        PMID: 22379032      PMCID: PMC3311778          DOI: 10.4049/jimmunol.1103298

Source DB:  PubMed          Journal:  J Immunol        ISSN: 0022-1767            Impact factor:   5.422


  56 in total

Review 1.  Antibody pharmacokinetics and pharmacodynamics.

Authors:  Evelyn D Lobo; Ryan J Hansen; Joseph P Balthasar
Journal:  J Pharm Sci       Date:  2004-11       Impact factor: 3.534

2.  Contribution of transmembrane tumor necrosis factor to host defense against Mycobacterium bovis bacillus Calmette-guerin and Mycobacterium tuberculosis infections.

Authors:  Maria L Olleros; Reto Guler; Dominique Vesin; Roumen Parapanov; Gilles Marchal; Eduardo Martinez-Soria; Nadia Corazza; Jean-Claude Pache; Christoph Mueller; Irene Garcia
Journal:  Am J Pathol       Date:  2005-04       Impact factor: 4.307

Review 3.  Understanding latent tuberculosis: a moving target.

Authors:  Philana Ling Lin; Joanne L Flynn
Journal:  J Immunol       Date:  2010-07-01       Impact factor: 5.422

4.  Multiscale computational modeling reveals a critical role for TNF-α receptor 1 dynamics in tuberculosis granuloma formation.

Authors:  Mohammad Fallahi-Sichani; Mohammed El-Kebir; Simeone Marino; Denise E Kirschner; Jennifer J Linderman
Journal:  J Immunol       Date:  2011-02-14       Impact factor: 5.422

5.  Tumor necrosis factor-alpha is required in the protective immune response against Mycobacterium tuberculosis in mice.

Authors:  J L Flynn; M M Goldstein; J Chan; K J Triebold; K Pfeffer; C J Lowenstein; R Schreiber; T W Mak; B R Bloom
Journal:  Immunity       Date:  1995-06       Impact factor: 31.745

6.  Bystander macrophage apoptosis after Mycobacterium tuberculosis H37Ra infection.

Authors:  Deirdre M Kelly; Annemieke M C ten Bokum; Seonadh M O'Leary; Mary P O'Sullivan; Joseph Keane
Journal:  Infect Immun       Date:  2007-10-22       Impact factor: 3.441

7.  Identification of key processes that control tumor necrosis factor availability in a tuberculosis granuloma.

Authors:  Mohammad Fallahi-Sichani; Matthew A Schaller; Denise E Kirschner; Steven L Kunkel; Jennifer J Linderman
Journal:  PLoS Comput Biol       Date:  2010-05-06       Impact factor: 4.475

8.  Granulomatous infectious diseases associated with tumor necrosis factor antagonists.

Authors:  R S Wallis; M S Broder; J Y Wong; M E Hanson; D O Beenhouwer
Journal:  Clin Infect Dis       Date:  2004-04-15       Impact factor: 9.079

9.  TNF influences chemokine expression of macrophages in vitro and that of CD11b+ cells in vivo during Mycobacterium tuberculosis infection.

Authors:  Holly M Scott Algood; Philana Ling Lin; David Yankura; Alvin Jones; John Chan; JoAnne L Flynn
Journal:  J Immunol       Date:  2004-06-01       Impact factor: 5.422

10.  A metalloprotease inhibitor blocks shedding of the 80-kD TNF receptor and TNF processing in T lymphocytes.

Authors:  P D Crowe; B N Walter; K M Mohler; C Otten-Evans; R A Black; C F Ware
Journal:  J Exp Med       Date:  1995-03-01       Impact factor: 14.307

View more
  44 in total

1.  Macrophage polarization drives granuloma outcome during Mycobacterium tuberculosis infection.

Authors:  Simeone Marino; Nicholas A Cilfone; Joshua T Mattila; Jennifer J Linderman; JoAnne L Flynn; Denise E Kirschner
Journal:  Infect Immun       Date:  2014-11-03       Impact factor: 3.441

Review 2.  Safety Profile of Certolizumab Pegol in Patients with Immune-Mediated Inflammatory Diseases: A Systematic Review and Meta-Analysis.

Authors:  Alice Capogrosso Sansone; Stefania Mantarro; Marco Tuccori; Elisa Ruggiero; Sabrina Montagnani; Irma Convertino; Alessandra Marino; Matteo Fornai; Luca Antonioli; Tiberio Corona; Danila Garibaldi; Corrado Blandizzi
Journal:  Drug Saf       Date:  2015-10       Impact factor: 5.606

3.  Infliximab for treatment of granulomatous disease in patients with common variable immunodeficiency.

Authors:  Timothy J Franxman; Laura E Howe; James R Baker
Journal:  J Clin Immunol       Date:  2014-07-27       Impact factor: 8.317

4.  In silico models of M. tuberculosis infection provide a route to new therapies.

Authors:  Jennifer J Linderman; Denise E Kirschner
Journal:  Drug Discov Today Dis Models       Date:  2014-05-09

5.  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

6.  A population model capturing dynamics of tuberculosis granulomas predicts host infection outcomes.

Authors:  Chang Gong; Jennifer J Linderman; Denise Kirschner
Journal:  Math Biosci Eng       Date:  2015-06       Impact factor: 2.080

Review 7.  Pharmaceutical aspects of anti-inflammatory TNF-blocking drugs.

Authors:  Sandhya Jinesh
Journal:  Inflammopharmacology       Date:  2015-02-17       Impact factor: 4.473

8.  A computational tool integrating host immunity with antibiotic dynamics to study tuberculosis treatment.

Authors:  Elsje Pienaar; Nicholas A Cilfone; Philana Ling Lin; Véronique Dartois; Joshua T Mattila; J Russell Butler; JoAnne L Flynn; Denise E Kirschner; Jennifer J Linderman
Journal:  J Theor Biol       Date:  2014-12-09       Impact factor: 2.691

9.  Tuberculosis a re-emerging disease.

Authors:  Saverio De Lorenzo; Simon Tiberi
Journal:  Intern Emerg Med       Date:  2012-10       Impact factor: 3.397

10.  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

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.