ReviewBiomicrofluidics2021
Human lung-on-chips: Advanced systems for respiratory virus models and assessment of immune response.
Review in Biomicrofluidics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 13 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
13 citing papers in PubMed, 25 citations in OpenAlex.
- Lung organoids and organ-on-a-chip models in respiratory disease research: advances, applications, and challenges.Respiratory research · 2026Review
- The 3D landscape of infection: spatial organization andFrontiers in immunology · 2026Review
- Review
- Microfluidic strategies for biomimetic lung chip establishment and SARS-CoV2 study.Materials today. Bio · 2024Review
- Human organoids-on-chips for biomedical research and applications.Theranostics · 2024Review
- In vitro high-content tissue models to address precision medicine challenges.Molecular aspects of medicine · 2023Review
- Integration of immune cells in organs-on-chips: a tutorial.Frontiers in bioengineering and biotechnology · 2023Review
- Microbiome as an immune regulator in health, disease, and therapeutics.Advanced drug delivery reviews · 2022Review
- 3D Lung-on-Chip Model Based on Biomimetically Microcurved Culture Membranes.ACS biomaterials science & engineering · 2022Article
- Emergence of debubblers in microfluidics: A critical review.Biomicrofluidics · 2022Review
- Barrier-on-a-Chip with a Modular Architecture and Integrated Sensors for Real-Time Measurement of Biological Barrier Function.Micromachines · 2021Article
- Erratum: "Human lung-on-chips: Advanced systems for respiratory virus models and assessment of immune response" [Biomicrofluidics 15, 021501 (2021)].Biomicrofluidics · 2021Article
- Enteric Coronavirus Infection and Treatment Modeled With an Immunocompetent Human Intestine-On-A-Chip.Frontiers in pharmacology · 2021Article
Corrections and comments
- Erratum issued
Authors and funding
5 authors at 2 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Respiratory viral infections are leading causes of death worldwide. A number of human respiratory viruses circulate in all age groups and adapt to person-to-person transmission. It is vital to understand how these viruses infect the host and how the host responds to prevent infection and onset of disease. Although animal models have been widely used to study disease states, incisive arguments related to poor prediction of patient responses have led to the development of microfluidic organ-on-chip models, which aim to recapitulate organ-level physiology. Over the past decade, human lung chips have been shown to mimic many aspects of the lung function and its complex microenvironment. In this review, we address immunological responses to viral infections and elaborate on human lung airway and alveolus chips reported to model respiratory viral infections and therapeutic interventions. Advances in the field will expedite the development of therapeutics and vaccines for human welfare.
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.