In Vitro Disease Model
In Vitro Disease Model - Related Videos
08:25
Advanced 3D Liver Models for In vitro Genotoxicity Testing Following Long-Term Nanomaterial Exposure
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Cited by 21 •
2020
This procedure was established to be used for developing advanced 3D hepatic cultures in vitro, which can provide a more physiologically relevant assessment of the genotoxic hazards associated with nanomaterial exposures over both an acute or long-term, repeated dose regimes.
01:33
Synergistic Photobiomodulation with a Dual-Wavelength Laser in an In Vitro Disease Model
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2025
Divide the transwell system into five groups that undergo various treatments.The first group serves as the control and consists of a co-culture of neuroblastoma and microglia cells.In the second group, treat the co-culturer with fibrillar β-amyloid (fAβ) alone. fAβ induces damage in neuroblastoma cells.In the third group, treat neuroblastoma cells with an 808-nanometer laser, then co-culture them with untreated microglia.The laser reduces oxidative stress, improving neuronal survival.In the...
07:31
Isolation of Human Primary Valve Cells for In vitro Disease Modeling
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Cited by 7 •
2021
This protocol describes the collection of human aortic valves extracted during surgical aortic valve replacement procedures or from cadaveric tissue, and the subsequent isolation, expansion, and characterization of patient specific primary valve endothelial and interstitial cells. Included are important details regarding the processes needed to ensure cell viability and phenotype specificity.
06:19
Reconstruction of the Blood-Brain Barrier In Vitro to Model and Therapeutically Target Neurological Disease
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Cited by 2 •
2023
The blood-brain barrier (BBB) has a crucial role in sustaining a stable and healthy brain environment. BBB dysfunction is associated with many neurological diseases. We have developed a 3D, stem-cell-derived model of the BBB to investigate cerebrovascular pathology, BBB integrity, and how the BBB is altered by genetics and disease.
07:03
In Vitro Modeling of Fat Deposition in Metabolic Dysfunction-Associated Steatotic Liver Disease
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Cited by 1 •
2024
This article describes the use of oleic acid-induced HepG2 cells as a model for metabolic dysfunction-associated steatotic liver disease.
FAQs
Researchers can reproduce disease-relevant states by applying one or more controlled perturbations, such as a genetic change, pathogen, drug, or environmental stress. Each perturbation tests a different causal route and allows investigators to observe how cells, tissues, or organoids respond. Comparing these responses helps separate disease-associated effects from changes caused by the experimental manipulation itself.
An informative comparison keeps the experimental system and measurement conditions as similar as possible while varying the disease-related factor. The resulting contrast can reveal changes in cellular behavior, molecular signals, or function associated with disease. Because the environment is controlled, researchers can attribute observed differences more directly to the selected condition than in a complex whole-body setting.
Microscopy can document structural or cellular changes, whereas biochemical assays can quantify molecular responses; other analytical methods may assess additional features. Using these readouts, investigators can compare treatment groups, healthy and diseased states, or different induced conditions. The choice of measurement determines whether the model provides primarily visual, molecular, or functional evidence about the disease process.
These models provide controlled and reproducible conditions, but they cannot capture every interaction that occurs within a living organism. Their value therefore lies in complementing animal studies rather than fully replacing them. By examining selected disease features in a simplified setting, researchers can investigate mechanisms and treatments more selectively before interpreting those findings in broader biological contexts.
Researchers first select a cultured cell, tissue, or organoid system and establish the disease-relevant condition using a genetic change, pathogen, drug, or environmental stress. They then collect measurements with microscopy, biochemical assays, or other analytical methods and compare the results across appropriate experimental states. This workflow links model construction to a measurable cellular, molecular, or functional outcome.
A medical researcher may use this approach to clarify disease mechanisms, compare healthy and diseased states, or evaluate potential treatments under controlled conditions. The resulting observations can help identify responses associated with therapeutic exposure and support more targeted development decisions. Because the system isolates selected disease features, it is especially useful when researchers need focused experimental comparisons.
By comparing cellular, molecular, or functional responses between healthy and diseased conditions, researchers can identify measurable features associated with the disease state. Additional comparisons after introducing drugs or other perturbations may show which signals change with treatment. Such findings can nominate biomarkers, while the controlled setting helps link each candidate to a defined experimental condition.