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Human organs-on-chips for disease modelling, drug development and personalized medicine
Open accessAbstract
The failure of animal models to predict therapeutic responses in humans is a major problem that also brings into question their use for basic research. Organ-on-a-chip (organ chip) microfluidic devices lined with living cells cultured under fluid flow can recapitulate organ-level physiology and pathophysiology with high fidelity. Here, I review how single and multiple human organ chip systems have been used to model complex diseases and rare genetic disorders, to study host–microbiome interactions, to recapitulate whole-body inter-organ physiology and to reproduce human clinical responses to drugs, radiation, toxins and infectious pathogens. I also address the challenges that must be overcome for organ chips to be accepted by the pharmaceutical industry and regulatory agencies, as well as discuss recent advances in the field. It is evident that the use of human organ chips instead of animal models for drug development and as living avatars for personalized medicine is ever closer to realization. This Review discusses the types of single and multiple human organ-on-a-chip (organ chip) microfluidic devices and their diverse applications for disease modelling, drug development and personalized medicine, as well as the challenges that must be overcome for organ chips to reach their full potential.
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“most animal models poorly resemble human conditions and thus have low predictive values.”
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“OoCs are perfused microfluidic platforms that contain bioengineered or miniaturized tissues or organs interconnected by 3D microchannels to simulate the in vivo functions, biomechanics and (patho)physiological responses of organs6,52–54.”
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“Animal models, however, often fail to filter out harmful or ineffective drugs6.”
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Microfluidic Model for Evaluation of Immune Checkpoint Inhibitors in Human Tumors
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Microphysiological flux balance platform unravels the dynamics of drug induced steatosis
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Self-citationEndothelial Thermotolerance Impairs Nanoparticle Transport in Tumors
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Self-citationThree-Dimensional In Vitro Lymphangiogenesis Model in Tumor Microenvironment
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Self-citationA 3D Renal Proximal Tubule on Chip Model Phenocopies Lowe Syndrome and Dent II Disease Tubulopathy
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Advances in Engineered Three-Dimensional (3D) Body Articulation Unit Models
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Metadata
- Authors
- Ingber, D. E.
- Affiliations
- Boston Children's Hospital (US)
- Corresponding author
- Ingber, Donald E.
- ORCID
- Ingber, Donald E.
- Venue
- Nature Reviews Genetics
- Published
- 2022-03-25
- Volume
- 23
- Issue
- 8
- Pages
- 467-491
- ISSN
- 1471-0056 (ISSN-L)
- 1471-0064
- PMC
- PMC8951665
- OpenAlex
- W4220652963
- Cited by
- 1,589
- References
- 151
- Citations by year
- 2026: 457 · 2025: 440 · 2024: 389 · 2023: 215 · 2022: 87
- FWCI
- 25.21
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Nature Reviews Genetics (publishedVersion, cc-by)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Bill and Melinda Gates Foundation
- National Institutes of Health
- Defense Advanced Research Projects Agency
- Biomedical Advanced Research and Development Authority
- National Heart, Lung, and Blood Institute (UH3HL141797)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › 3D Printing in Biomedical Research
- Physical Sciences › Engineering › Biomedical Engineering › Microfluidic and Capillary Electrophoresis Applications
- Health Sciences › Medicine › Surgery › Tissue Engineering and Regenerative Medicine
- Keywords
- organ-on-a-chip, microfluidics, disease modeling, drug development, personalized medicine, alternative to animal models, rare genetic disorders, host-microbiome interactions, drug toxicity, infectious agents, regulatory acceptance, pharmaceutical industry
- MeSH terms
- Drug Development, Animals, Humans, Rare Diseases, Lab-On-A-Chip Devices, Precision Medicine
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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