ReviewLab on a chip2013
Scaling and systems biology for integrating multiple organs-on-a-chip.
Review in Lab on a chip, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 159 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
159 citing papers in PubMed, 2 syntheses or guidelines pooled it, 299 citations in OpenAlex.
- Advances in Engineering Human Tissue Models.Frontiers in bioengineering and biotechnology · 2020Pooled it
- Engineered tissues and strategies to overcome challenges in drug development.Advanced drug delivery reviews · 2020Pooled it
- PK-Informed Microphysiological Systems: From Dynamic Dosing to Quantitative In Vitro-In Vivo Translation.Pharmaceutics · 2026Review
- Inter-organ communication shapes human metabolic tissue states and resolves anti-diabetic drug response modes in a six-tissue microphysiological system.bioRxiv : the preprint server for biology · 2026Article
- A Simple and Robust Microfluidic Glomerular Filtration Barrier-on-a-Chip Platform for Investigating Drug-Induced Nephrotoxicity.ACS pharmacology & translational science · 2026Article
- Advances and applications of organ-on-a-chip technology.Cell reports methods · 2026Review
- Microbiota-gut-brain axis multi-organ chip construction and applications in drug evaluation.iMetaOmics · 2025Review
- Pillar arrays as tunable interfacial barriers for microphysiological systems.Communications engineering · 2025Article
- Plug and Play Multi-Organ Chips: Integrated µGaskets for the Facile and Reversible Connection of Individual Organ-on-Chip Modules.Micromachines · 2025Article
- An Organ-on-Chip Platform for Strain-Controlled, Tissue-Specific Compression of Cartilage and Mineralized Osteochondral Interface to Study Mechanical Overloading in Osteoarthritis.Advanced healthcare materials · 2025Article
- Numerical models for organ-on-a-chip: A systematic review and analyses.Biomicrofluidics · 2025Review
- In Vitro Modeling of Interorgan Crosstalk: Multi-Organ-on-a-Chip for Studying Cardiovascular-Kidney-Metabolic Syndrome.Circulation research · 2025Review
- Advances in human organs-on-chips and applications for drug screening and personalized medicine.Fundamental research · 2025Review
- A 3D-printed multi-compartment organ-on-chip platform with a tubing-free pump models communication with the lymph node.Lab on a chip · 2025Article
- A closed-loop modular multiorgan-on-chips platform for self-sustaining and tightly controlled oxygenation.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Targeted Cancer Therapy-on-A-Chip.Advanced healthcare materials · 2024Review
- Microphysiological system with integrated sensors to study the effect of pulsed electric field.Scientific reports · 2024Article
- Standardizing designed and emergent quantitative features in microphysiological systems.Nature biomedical engineering · 2024Review
- Liver-on-chips for drug discovery and development.Materials today. Bio · 2024Review
- Bridging systems biology and tissue engineering: Unleashing the full potential of complex 3DBiophysics reviews · 2024Review
99 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 1 institution in 1 country.
Funding
Abstract
Coupled systems of in vitro microfabricated organs-on-a-chip containing small populations of human cells are being developed to address the formidable pharmacological and physiological gaps between monolayer cell cultures, animal models, and humans that severely limit the speed and efficiency of drug development. These gaps present challenges not only in tissue and microfluidic engineering, but also in systems biology: how does one model, test, and learn about the communication and control of biological systems with individual organs-on-chips that are one-thousandth or one-millionth of the size of adult organs, or even smaller, i.e., organs for a milliHuman (mHu) or microHuman (μHu)? Allometric scaling that describes inter-species variation of organ size and properties provides some guidance, but given the desire to utilize these systems to extend and validate human pharmacokinetic and pharmacodynamic (PK/PD) models in support of drug discovery and development, it is more appropriate to scale each organ functionally to ensure that it makes the suitable physiological contribution to the coupled system. The desire to recapitulate the complex organ-organ interactions that result from factors in the blood and lymph places a severe constraint on the total circulating fluid (~5 mL for a mHu and ~5 μL for a μHu) and hence on the pumps, valves, and analytical instruments required to maintain and study these systems. Scaling arguments also provide guidance on the design of a universal cell-culture medium, typically without red blood cells. This review presents several examples of scaling arguments and discusses steps that should ensure the success of this endeavour.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.