ReviewCommunications biology2026
Reverse bioengineering of the liver: developmental principles for next-generation liver-on-a-chip systems.
Review in Communications biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
Abstract
Despite major advances in liver-on-a-chip and organoid technologies, most current in vitro liver models remain limited. Here, it is argued that these limitations are fundamentally conceptual rather than purely technical. Reverse bioengineering is introduced as a unifying design framework for liver-on-a-chip systems, in which human liver development is treated as the primary engineering blueprint rather than adult hepatic phenotype as the endpoint. Existing cell sources, liver organoids, and liver-on-a-chip platforms are critically evaluated, demonstrating that each capture complementary but incomplete aspects of liver development. Pluripotent stem cells uniquely enable access to intrinsic developmental programs and cellular diversity, organoids partially reconstruct early developmental trajectories through self-organization, and microphysiological systems provide extrinsic cues without fully encoding developmental execution. Finally, futured directions are outlined, highlighting developmentally coordinated multi-organ systems, quantitative developmental benchmarks, and the emerging role of multi-omics-enabled Digital Twins and artificial intelligence in guiding and interpreting liver-on-a-chip design.
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.