Tendinopathy Model
Tendinopathy Model - Related Videos
04:37
A Passive Ankle Dorsiflexion Testing System for an In Vivo Model of Overuse-induced Tendinopathy
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Cited by 1 •
2024
This protocol presents a testing system used to induce quantifiable and controlled fatigue injuries in a rat Achilles tendon for an in-vivo model of overuse-induced tendinopathy. The procedure consists of securing the rat's ankle to a joint actuator that performs passive ankle dorsiflexion with a custom-written MATLAB script.
03:50
A Treatment Protocol for Achilles Tendinopathy with Extracorporeal Shockwave Therapy
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Cited by 1 •
2024
Achilles tendinopathy is a common musculoskeletal condition for which loading programs are currently the standard of care. However, the treatment protocols vary. We therefore propose a protocol for Achilles tendinopathy treatment using extracorporeal shockwave therapy.
07:52
In Vivo Imaging and Tracking of Technetium-99m Labeled Bone Marrow Mesenchymal Stem Cells in Equine Tendinopathy
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Cited by 17 •
2015
This protocol describes the radiolabeling of equine mesenchymal stem cells and their implantation into tendon injuries in the horse in order to determine cell survival and tissue distribution using gamma scintigraphy.
11:05
Behavioral Characterization of an Angelman Syndrome Mouse Model
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Cited by 1 •
2023
This manuscript presents a set of highly reproducible behavioral tests to validate an Angelman syndrome mouse model.
12:31
In Vivo Modeling of the Morbid Human Genome using Danio rerio
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Cited by 65 •
2013
Here, we present a systematic approach for developing physiologically relevant, sensitive and specific in vivo assays for interpreting variation in human pathology. Transient genetic manipulation via microinjection of WT and mutant human mRNA and morpholino (MO) antisense oligonucleotides harness the tractability of the developing zebrafish embryo to rapidly assay pathogenic mutations, especially, but not exclusively, in the context of human developmental disorders.
FAQs
Mechanical loading can be combined with altered extracellular-matrix conditions or inflammatory cues to examine how physical stress and biological signaling jointly affect tendon cells and tissue constructs. This interaction helps researchers distinguish responses driven by loading from those associated with inflammation or matrix changes, clarifying how collagen organization, cell behavior, and tissue remodeling contribute to dysfunction.
The extracellular matrix provides the structural environment in which tendon cells respond to stress and signaling cues. Altering matrix conditions allows a model to examine changes in collagen organization, cell behavior, and remodeling rather than treating cells as an isolated system. This is particularly useful for studying how structural changes relate to impaired tendon repair.
Researchers can vary the presence of tendon cells or engineered tissue constructs, the mechanical loading applied to them, extracellular-matrix conditions, and inflammatory cues. Controlling these components creates distinct experimental conditions for investigating tendon pain, degeneration, impaired repair, or combinations of these features. Such control also supports systematic testing of candidate interventions.
By introducing mechanical stress, altered matrix conditions, or inflammatory cues separately or in combination, researchers can compare how each condition changes cell behavior and tissue remodeling. The resulting comparisons indicate whether a response is associated mainly with loading, biological signaling, or their interaction, providing a more focused basis for interpreting tendon dysfunction.
A typical workflow begins by selecting tendon cells or an engineered tissue construct, then establishing relevant extracellular-matrix conditions. Researchers can apply controlled mechanical loading and introduce inflammatory cues according to the question being studied. They then examine changes in collagen organization, cell behavior, and tissue remodeling to evaluate whether the system reproduces the targeted disease features.
The system can provide information about tendon pain-related features, degeneration, impaired repair, collagen organization, cell behavior, and tissue remodeling. These outcomes allow investigators to connect imposed mechanical or biological conditions with structural and functional changes in the model. The findings can then guide evaluation of treatments or engineered materials intended to improve tendon recovery.
Researchers can use these systems to screen potential drugs under controlled mechanical and biological conditions, helping assess responses linked to tendon dysfunction. The same platforms support biomaterial development by testing engineered tissue constructs or matrix-related strategies. They also contribute to regenerative-medicine research and therapy design aimed at restoring tendon structure and function while reducing reliance on animal studies.