ArticleSmall science2024
Multi-Organ Microphysiological Systems Targeting Specific Organs for Recapitulating Disease Phenotypes via Organ Crosstalk.
Article in Small science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed.
- Tirzepatide as a multi-organ integrator in metabolic diseases: a review of molecular mechanisms and clinical translation.Endocrine · 2026Review
- Barrier-to-Design Codes for Organ-Targeted Nanomedicine: A Framework Linking Barrier Phenotypes to Nano-Bio Interface Design and Translational Validation.International journal of nanomedicine · 2026Review
- A narrative review of spatial multi-omics and organ-on-a-chip technologies for cardio-cerebral-renal crosstalk.Frontiers in bioengineering and biotechnology · 2026Review
- The Fluidic Shear Stress Loading Method Enables Mechanobiological Stimulation in an On-Chip Pump-Integrated Microphysiological System.Micromachines · 2025Article
- A Dialysis Membrane-Integrated Microfluidic Device for Controlled Drug Retention and Nutrient Supply.Micromachines · 2025Article
- Fluidic Programmable Gravi-maze Array for High Throughput Multiorgan Drug Testing.bioRxiv : the preprint server for biology · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Various systemic metabolic diseases arise from prolonged crosstalk across multiple organs, triggering serious impairments in various physiological systems. These diseases are intricate systemic pathologies characterized by complex mechanisms and an unclear etiology, making the treatment challenging. Efforts have been made to develop in vitro models to understand these diseases and devise new treatments. However, there are limitations in reconstructing the causal relationships between diseases and interorgan crosstalk, including the tissue-specific microenvironment. Alternatively, multi-organ microphysiological systems (MOMPS) present new possibilities for capturing the complexity of systemic metabolic diseases by replicating human microphysiology and simulating diverse interorgan crosstalk. Controlled interactions and scalable representations of biological complexity in MOMPS offer a more accurate portrayal of organ interactions, enabling the identification of novel relationships between organ crosstalk, metabolism, and immunity. This, in turn, can yield valuable insights into disease mechanisms and drug development research and enhance the efficiency of preclinical studies. In this review, the examples and technical capabilities of MOMPS pathological modeling for various diseases are discussed, leveraging state-of-the-art biofabrication technology of MOMPS. It evaluates the current opportunities and challenges in this field.
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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.