Literature DB >> 31682896

Bayesian inference for parameter estimation in lactoferrin-mediated iron transport across blood-brain barrier.

Aminul Islam Khan1, Jin Liu1, Prashanta Dutta2.   

Abstract

BACKGROUND: In neurodegenerative diseases such as Alzheimer's and Parkinson's, excessive irons as well as lactoferrin (Lf), but not transferrin (Tf), have been found in and around the affected regions of the brain. These evidences suggest that lactoferrin plays a critical role during neurodegenerative diseases, although Lf-mediated iron transport across blood-brain barrier (BBB) is negligible compared to that of transferrin in normal condition. However, the kinetics of lactoferrins and lactoferrin-mediated iron transport are still unknown.
METHOD: To determine the kinetic rate constants of lactoferrin-mediated iron transport through BBB, a mass-action based ordinary differential equation model has been presented. A Bayesian framework is developed to estimate the kinetic rate parameters from posterior probability density functions. The iron transport across BBB is studied by considering both Lf- and Tf-mediated pathways for both normal and pathologic conditions.
RESULTS: Using the point estimates of kinetic parameters, our model can effectively reproduce the experimental data of iron transport through BBB endothelial cells. The robustness of the model and parameter estimation process are further verified by perturbation of kinetic parameters. Our results show that surge in high-affinity receptor density increases lactoferrin as well as iron in the brain.
CONCLUSIONS: Due to the lack of a feedback loop such as iron regulatory proteins (IRPs) for lactoferrin, iron can transport to the brain continuously, which might increase brain iron to pathological levels and can contribute to neurodegeneration. GENERAL SIGNIFICANCE: This study provides an improved understanding of presence of lactoferrin and iron in the brain during neurodegenerative diseases.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Bayesian inference; Blood-brain barrier; Iron transport; Lactoferrin; Parameter estimation

Mesh:

Substances:

Year:  2019        PMID: 31682896      PMCID: PMC6980663          DOI: 10.1016/j.bbagen.2019.129459

Source DB:  PubMed          Journal:  Biochim Biophys Acta Gen Subj        ISSN: 0304-4165            Impact factor:   3.770


  56 in total

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Authors:  Aminul Islam Khan; Qian Lu; Dan Du; Yuehe Lin; Prashanta Dutta
Journal:  Biochim Biophys Acta Gen Subj       Date:  2018-08-31       Impact factor: 3.770

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Authors:  Ryan C McCarthy; Daniel J Kosman
Journal:  J Biol Chem       Date:  2013-05-02       Impact factor: 5.157

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Review 10.  Lactoferrin in Aseptic and Septic Inflammation.

Authors:  Maria Stefania Lepanto; Luigi Rosa; Rosalba Paesano; Piera Valenti; Antimo Cutone
Journal:  Molecules       Date:  2019-04-03       Impact factor: 4.411

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  1 in total

1.  Effect of Calcium ion on synaptotagmin-like protein during pre-fusion of vesicle for exocytosis in blood-brain barrier.

Authors:  Quyen Van Dinh; Jin Liu; Prashanta Dutta
Journal:  Biochem Biophys Rep       Date:  2020-11-13
  1 in total

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