Enzymatic denaturation versus excessive fatigue loading degeneration: Effects on the time-dependent response of the intervertebral disc.

Degeneration animal models Enzymatic denaturation Fatigue Finite element modeling In-vitro experiments Intervertebral disc

Journal

Journal of biomechanics
ISSN: 1873-2380
Titre abrégé: J Biomech
Pays: United States
ID NLM: 0157375

Informations de publication

Date de publication:
17 May 2024
Historique:
received: 30 08 2023
revised: 23 03 2024
accepted: 16 05 2024
medline: 10 6 2024
pubmed: 10 6 2024
entrez: 9 6 2024
Statut: aheadofprint

Résumé

Degenerative disc disease (DDD), regardless of its phenotype and clinical grade, is widely associated with low back pain (LBP), which remains the single leading cause of disability worldwide. This work provides a quantitative methodology for comparatively investigating artificial IVD degeneration via two popular approaches: enzymatic denaturation and fatigue loading. An in-vitro animal study was used to study the time-dependent responses of forty fresh juvenile porcine thoracic IVDs in conjunction with inverse and forward finite element (FE) simulations. The IVDs were dissected from 6-month-old-juvenile pigs and equally assigned to 5 groups (intact, denatured, low-level, medium-level, high-level fatigue loading). Upon preloading, a sinusoid cyclic load (Peak-to-peak/0.1-to-0.8 MPa) was applied (0.01-10 Hz), and dynamic-mechanical-analyses (DMA) was performed. The DMA outcomes were integrated with a robust meta-model analysis to quantify the poroelastic IVD characteristics, while specimen-specific FE models were developed to study the detailed responses. The results demonstrated that enzymatic denaturation had a more significantly pronounced effect on the resistive strength and shock attenuation capabilities of the intervertebral discs. This can be attributed to the simultaneous disruption of the collagen fibers and water-proteoglycan bonds induced by trypsin digestion. Fatigue loading, on the other hand, primarily influenced the disc's resistance to deformation in a frequency-dependent pattern, where alterations were most noticeable at low loading frequencies. This study confirms the intricate interplay between the biochemical changes induced by enzymatic processes and the mechanical behavior stemming from fatigue loading, suggesting the need for a comprehensive approach to closely mimic the interrelated multifaceted processes of human disc degeneration.

Identifiants

pubmed: 38852480
pii: S0021-9290(24)00237-9
doi: 10.1016/j.jbiomech.2024.112159
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

112159

Informations de copyright

Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Mohammad Nikkhoo (M)

School of Physical Therapy and Graduate Institute of Rehabilitation Science, College of Medicine, Chang Gung University, Taoyuan, Taiwan; Bone and Joint Research Center, Chang Gung Memorial Hospital, Linkou, Taiwan; Department of Biomedical Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran.

Jaw-Lin Wang (JL)

Department of Biomedical Engineering, College of Medicine and College of Engineering, National Taiwan University, Taipei, Taiwan; Center of Medical Devices, National Taiwan University, Taipei, Taiwan. Electronic address: jlwang@ntu.edu.tw.

Chih-Hsiu Cheng (CH)

School of Physical Therapy and Graduate Institute of Rehabilitation Science, College of Medicine, Chang Gung University, Taoyuan, Taiwan; Bone and Joint Research Center, Chang Gung Memorial Hospital, Linkou, Taiwan.

Mohamad Parnianpour (M)

Department of Mechanical Engineering, Sharif University of Technology, Tehran, Iran.

Kinda Khalaf (K)

College of Medicine and Health Sciences, Khalifa University of Science and Technology, and Health Engineering Innovation Center, Abu Dhabi, United Arab Emirates. Electronic address: kinda.khalaf@ku.ac.ae.

Classifications MeSH