ArticleBiomicrofluidics2020
What can microfluidics do for human microbiome research?
Article in Biomicrofluidics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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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
10 citing papers in PubMed.
- Soil-mimicking microfluidic devices reveal restricted flagellar motility of Bradyrhizobium diazoefficiens under microconfinement.Communications biology · 2025Article
- Recreating Human Skin In Vitro: Should the Microbiota Be Taken into Account?International journal of molecular sciences · 2024Review
- Getting off tract: contributions of intraorgan microbiota to cancer in extraintestinal organs.Gut · 2023Review
- Microfluidic Gut-on-a-Chip: Fundamentals and Challenges.Biosensors · 2023Review
- Cell counting and velocity algorithms for hydrodynamic study of unsteady biological flows in micro-channels.Biomicrofluidics · 2023Article
- Towards standardized and reproducible research in skin microbiomes.Environmental microbiology · 2022Review
- Emerging microfluidic technologies for microbiome research.Frontiers in microbiology · 2022Review
- Material Engineering in Gut Microbiome and Human Health.Research (Washington, D.C.) · 2022Review
- Controlled Complexity: Optimized Systems to Study the Role of the Gut Microbiome in Host Physiology.Frontiers in microbiology · 2021Review
- Methods and platforms for analysis of nucleic acids from single-cell based on microfluidics.Microfluidics and nanofluidics · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Dysregulation of the human microbiome has been linked to various disease states, which has galvanized the efforts to modulate human health through microbiomes. Currently, human microbiome research is going through several phases to identify the constituent components of the microbiome, associate microbiome changes with physiological and pathological states, understand causative relationships, and finally translate this knowledge into therapeutics and diagnostics. The convergence of microfluidic technologies with molecular and cell profiling, microbiology, and tissue engineering can potentially be applied to these different phases of microbiome research to overcome the existing challenges faced by conventional approaches. The goal of this paper is to discuss and highlight the opportunities of applying different microfluidic technologies to specific areas of microbiome research as well as unique challenges that microfluidics must overcome when working with microbiome-relevant biological materials, e.g., micro-organisms, host tissues, and fluids. We will discuss the applicability of integrated microfluidic systems for processing biological samples for genomic sequencing analyses. For functional analysis of the microbiota, we will cover state-of-the-art microfluidic devices for microbiota cultivation and functional measurements. Finally, we highlight the use of organs-on-chips to model various microbiome-host tissue interactions. We envision that microfluidic technologies may hold great promise in advancing the knowledge on the interplay between microbiome and human health, as well as its eventual translation into microbiome-based diagnostics and therapeutics.
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.