Evidence mapPaperPMID 41889199Full record

ReviewAdvanced healthcare materials2026

Respiratory Organ-on-a-Chip for Disease Modeling: From Architecture to Functional Integration.

Jinzhuo Hu, Yongjie Tang, Sidi Liu, Tao Xu, Qian Liu

Abstract readReview
In one paragraph

Review in Advanced healthcare materials, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Jinzhuo HuInstitute of Biophysics, Chinese Academy of Sciences, Beijing, China.
Yongjie TangGuangzhou National Laboratory, Guangzhou, China.
Sidi LiuGuangzhou National Laboratory, Guangzhou, China.
Tao XuInstitute of Biophysics, Chinese Academy of Sciences, Beijing, China.ORCID https://orcid.org/0000-0002-8260-9754
Qian LiuGuangzhou National Laboratory, Guangzhou, China.ORCID https://orcid.org/0000-0002-6965-0103

Funding

Major Project of Guangzhou National Laboratory GZNL2023A03004National Key Research and Development Project of China 2024YFF0509000National Natural Science Foundation of China 52473108Young Scientists Program of Guangzhou Laboratory QNPG24-01
6 · The paper itself

Abstract

Respiratory diseases remain a leading cause of morbidity and mortality worldwide and arise from tightly coupled multicellular interactions that occur under continuous airflow and cyclic mechanical strain. However, the platforms most commonly used to study these processes, animal models and conventional 2D cell cultures, frequently decouple the variables that govern human pathophysiology, thereby limiting mechanistic resolution and translational predictability. Respiratory organ-on-chips (ROCs) aim to bridge this gap by reconstituting key structural, mechanical, and microenvironmental features of the human respiratory system in controllable, human-relevant settings, enabling quantitative interrogation of disease dynamics and therapeutic responses. Guided by respiratory anatomy and region-specific functions as design principles, this review integrates ROC architectural strategies with core functional modules and synthesizes how these engineering decisions shape biological performance and translational relevance across inflammation, infection, fibrosis, injury, and cancer. We further examine progress toward industrial translation and propose a decision-making framework that aligns disease-specific research questions with system integration requirements while identifying key technical bottlenecks.

Indexed as

Lab-On-A-Chip DevicesModels, BiologicalAnimalsHumansLungMicrophysiological Systemsdisease modelslung‐on‐a‐chipmicrofluidicsorgan‐on‐a‐chiprespiratory diseases

Identifiers

PMID41889199
PMCPMC13280203

What Socratic holds

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Registered trials

None linked

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 Socratic graph.