Biokinetic mechanisms linked with musculoskeletal health disparities: Stochastic models applying Tikhonov's theorem to biomolecule Homeostasis

Asit K. Saha, Yu Liang, Sean Kohles

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Multiscale technology and advanced mathematical models have been developed to control and characterize physicochemical interactions, respectively, enhancing cellular and molecular engineering progress. Ongoing tissue engineering development studies have provided experimental input for biokinetic models examining the influence of static or dynamic mechanical stimuli (Saha, A. K., and Kohles, S. S., 2010, "A Distinct Catabolic to Anabolic Threshold Due to Single-Cell Nanomechanical Stimulation in a Cartilage Biokinetics Model," J. Nanotechnol. Eng. Med., 1(3) p. 031005; 2010, "Periodic Nanomechanical Stimulation in a Biokinetics Model Identifying Anabolic and Catabolic Pathways Associated With Cartilage Matrix Homeostasis," J. Nanotechnol. Eng. Med., 1(4), p. 041001). In the current study, molecular regulatory thresholds associated with specific disease disparities are further examined through applications of stochastic mechanical stimuli. The results indicate that chondrocyte bioregulation initiates the catabolic pathway as a secondary response to control anabolic processes. In addition, high magnitude loading produced as a result of stochastic input creates a destabilized balance in homeostasis. This latter modeled result may be reflective of an injurious state or disease progression. These mathematical constructs provide a framework for single-cell mechanotransduction and may characterize transitions between healthy and disease states.

Original languageEnglish (US)
JournalJournal of Nanotechnology in Engineering and Medicine
Volume2
Issue number2
DOIs
StatePublished - May 1 2011

Fingerprint

Biomolecules
Stochastic models
Cartilage
Homeostasis
Health
Cell Engineering
Tissue Engineering
Chondrocytes
Disease Progression
Theoretical Models
Technology
Tissue engineering
Mathematical models

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Materials Science(all)
  • Medicine(all)

Cite this

@article{ae18da0764fb4cb482c161a1e949a1e2,
title = "Biokinetic mechanisms linked with musculoskeletal health disparities: Stochastic models applying Tikhonov's theorem to biomolecule Homeostasis",
abstract = "Multiscale technology and advanced mathematical models have been developed to control and characterize physicochemical interactions, respectively, enhancing cellular and molecular engineering progress. Ongoing tissue engineering development studies have provided experimental input for biokinetic models examining the influence of static or dynamic mechanical stimuli (Saha, A. K., and Kohles, S. S., 2010, {"}A Distinct Catabolic to Anabolic Threshold Due to Single-Cell Nanomechanical Stimulation in a Cartilage Biokinetics Model,{"} J. Nanotechnol. Eng. Med., 1(3) p. 031005; 2010, {"}Periodic Nanomechanical Stimulation in a Biokinetics Model Identifying Anabolic and Catabolic Pathways Associated With Cartilage Matrix Homeostasis,{"} J. Nanotechnol. Eng. Med., 1(4), p. 041001). In the current study, molecular regulatory thresholds associated with specific disease disparities are further examined through applications of stochastic mechanical stimuli. The results indicate that chondrocyte bioregulation initiates the catabolic pathway as a secondary response to control anabolic processes. In addition, high magnitude loading produced as a result of stochastic input creates a destabilized balance in homeostasis. This latter modeled result may be reflective of an injurious state or disease progression. These mathematical constructs provide a framework for single-cell mechanotransduction and may characterize transitions between healthy and disease states.",
author = "Saha, {Asit K.} and Yu Liang and Sean Kohles",
year = "2011",
month = "5",
day = "1",
doi = "10.1115/1.4003876",
language = "English (US)",
volume = "2",
journal = "Journal of Nanotechnology in Engineering and Medicine",
issn = "1949-2944",
publisher = "American Society of Mechanical Engineers(ASME)",
number = "2",

}

TY - JOUR

T1 - Biokinetic mechanisms linked with musculoskeletal health disparities

T2 - Stochastic models applying Tikhonov's theorem to biomolecule Homeostasis

AU - Saha, Asit K.

AU - Liang, Yu

AU - Kohles, Sean

PY - 2011/5/1

Y1 - 2011/5/1

N2 - Multiscale technology and advanced mathematical models have been developed to control and characterize physicochemical interactions, respectively, enhancing cellular and molecular engineering progress. Ongoing tissue engineering development studies have provided experimental input for biokinetic models examining the influence of static or dynamic mechanical stimuli (Saha, A. K., and Kohles, S. S., 2010, "A Distinct Catabolic to Anabolic Threshold Due to Single-Cell Nanomechanical Stimulation in a Cartilage Biokinetics Model," J. Nanotechnol. Eng. Med., 1(3) p. 031005; 2010, "Periodic Nanomechanical Stimulation in a Biokinetics Model Identifying Anabolic and Catabolic Pathways Associated With Cartilage Matrix Homeostasis," J. Nanotechnol. Eng. Med., 1(4), p. 041001). In the current study, molecular regulatory thresholds associated with specific disease disparities are further examined through applications of stochastic mechanical stimuli. The results indicate that chondrocyte bioregulation initiates the catabolic pathway as a secondary response to control anabolic processes. In addition, high magnitude loading produced as a result of stochastic input creates a destabilized balance in homeostasis. This latter modeled result may be reflective of an injurious state or disease progression. These mathematical constructs provide a framework for single-cell mechanotransduction and may characterize transitions between healthy and disease states.

AB - Multiscale technology and advanced mathematical models have been developed to control and characterize physicochemical interactions, respectively, enhancing cellular and molecular engineering progress. Ongoing tissue engineering development studies have provided experimental input for biokinetic models examining the influence of static or dynamic mechanical stimuli (Saha, A. K., and Kohles, S. S., 2010, "A Distinct Catabolic to Anabolic Threshold Due to Single-Cell Nanomechanical Stimulation in a Cartilage Biokinetics Model," J. Nanotechnol. Eng. Med., 1(3) p. 031005; 2010, "Periodic Nanomechanical Stimulation in a Biokinetics Model Identifying Anabolic and Catabolic Pathways Associated With Cartilage Matrix Homeostasis," J. Nanotechnol. Eng. Med., 1(4), p. 041001). In the current study, molecular regulatory thresholds associated with specific disease disparities are further examined through applications of stochastic mechanical stimuli. The results indicate that chondrocyte bioregulation initiates the catabolic pathway as a secondary response to control anabolic processes. In addition, high magnitude loading produced as a result of stochastic input creates a destabilized balance in homeostasis. This latter modeled result may be reflective of an injurious state or disease progression. These mathematical constructs provide a framework for single-cell mechanotransduction and may characterize transitions between healthy and disease states.

UR - http://www.scopus.com/inward/record.url?scp=79957563559&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=79957563559&partnerID=8YFLogxK

U2 - 10.1115/1.4003876

DO - 10.1115/1.4003876

M3 - Article

AN - SCOPUS:79957563559

VL - 2

JO - Journal of Nanotechnology in Engineering and Medicine

JF - Journal of Nanotechnology in Engineering and Medicine

SN - 1949-2944

IS - 2

ER -