ReviewMicromachines2021
Physiological and Disease Models of Respiratory System Based on Organ-on-a-Chip Technology.
Review in Micromachines, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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
11 citing papers in PubMed.
- Review
- Bridging the gap: From petri dish to patient - Advancements in translational drug discovery.Heliyon · 2025Review
- Understanding the cellular dynamics, engineering perspectives and translation prospects in bioprinting epithelial tissues.Bioactive materials · 2025Review
- Multi-Organ Microphysiological Systems Targeting Specific Organs for Recapitulating Disease Phenotypes via Organ Crosstalk.Small science · 2024Article
- Microscale Humidity Sensor Based on Iron-Coated Elaters ofBiosensors · 2024Article
- Advances and challenges in organ-on-chip technology: toward mimicking human physiology and disease in vitro.Medical & biological engineering & computing · 2024Review
- Innovative approaches in lung tissue engineering: the role of exosome-loaded bioscaffolds in regenerative medicine.Frontiers in bioengineering and biotechnology · 2024Review
- Organ-on-a-chip technologies for biomedical research and drug development: A focus on the vasculature.Smart medicine · 2023Article
- Performance of nanoparticles for biomedical applications: TheBiophysics reviews · 2022Review
- Organ-On-A-Chip: A Survey of Technical Results and Problems.Frontiers in bioengineering and biotechnology · 2022Review
- Exploring oncology treatment strategies with tyrosine kinase inhibitors through advanced 3D models (Review).Medicine internationalReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The pathogenesis of respiratory diseases is complex, and its occurrence and development also involve a series of pathological processes. The present research methods are have difficulty simulating the natural developing state of the disease in the body, and the results cannot reflect the real growth state and function in vivo. The development of microfluidic chip technology provides a technical platform for better research on respiratory diseases. The size of its microchannel can be similar to the space for cell growth in vivo. In addition, organ-on-a-chip can achieve long-term co-cultivation of multiple cells and produce precisely controllable fluid shear force, periodically changing mechanical force, and perfusate with varying solute concentration gradient. To sum up, the chip can be used to analyze the specific pathophysiological changes of organs meticulously, and it is widely used in scientific research on respiratory diseases. The focus of this review is to describe and discuss current studies of artificial respiratory systems based on organ-on-a-chip technology and to summarize their applications in the real world.
Indexed as
Identifiers
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.