Evidence mapPaperPMID 41676439Full record

ReviewiMetaOmics2025

Microbiota-gut-brain axis multi-organ chip construction and applications in drug evaluation.

Yue Tang, Hewen Chen, Ziyue Zhao, Xuesong Kang, Wenxin Wang, Kun Dai, Yufei Guo, Axin Liang, Aiqin Luo, Zikai Hao

Abstract readReview
In one paragraph

Review in iMetaOmics, 2025. 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

10 authors.

Yue TangKey Laboratory of Molecular Medicine and Biotherapy, the Ministry of Industry and Information Technology, School of Life Science Beijing Institute of Technology Beijing China.
Hewen ChenKey Laboratory of Molecular Medicine and Biotherapy, the Ministry of Industry and Information Technology, School of Life Science Beijing Institute of Technology Beijing China.
Ziyue ZhaoKey Laboratory of Molecular Medicine and Biotherapy, the Ministry of Industry and Information Technology, School of Life Science Beijing Institute of Technology Beijing China.
Xuesong KangKey Laboratory of Molecular Medicine and Biotherapy, the Ministry of Industry and Information Technology, School of Life Science Beijing Institute of Technology Beijing China.
Wenxin WangInstitute of Environmental Biology and Life Support Technology, School of Biological Science and Medical Engineering Beihang University Beijing China.
Kun DaiShandong Institute for Food and Drug Control Jinan China.
Yufei GuoDepartment of Statistics the George Washington University Washington District of Columbia USA.
Axin LiangKey Laboratory of Molecular Medicine and Biotherapy, the Ministry of Industry and Information Technology, School of Life Science Beijing Institute of Technology Beijing China.ORCID https://orcid.org/0000-0001-5650-7693
Aiqin LuoKey Laboratory of Molecular Medicine and Biotherapy, the Ministry of Industry and Information Technology, School of Life Science Beijing Institute of Technology Beijing China.ORCID https://orcid.org/0000-0002-6905-0394
Zikai HaoKey Laboratory of Molecular Medicine and Biotherapy, the Ministry of Industry and Information Technology, School of Life Science Beijing Institute of Technology Beijing China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The theoretical framework of the microbiota-gut-brain axis (MGBA) elucidates the influence of gut microbiota (GM) on the central nervous system (CNS) and offers novel approaches for diagnosing and treating neurological disorders. The application of microfluidic organ chips to study this axis represents an innovative methodology, enabling multidisciplinary assessment of drug effects. Bionic microphysiological systems based on these chips establish a groundbreaking paradigm for analyzing cross-organ interaction mechanisms within the MGBA. This technology facilitates systematic evaluation of pharmacokinetics, host-microbe coevolution, and neuroendocrine regulation, thereby supporting multimodal cross-validation in pharmacodynamics, toxicology, and translational medicine. This review summarizes the conceptual foundation and mechanistic insights of the MGBA, highlights recent advances in its constituent Multiorgan components, including gut-on-a-chip, blood-brain barrier-on-a-chip, and brain-on-a-chip models, alongside multiorgan chip cascade technologies, and underscores their applications in drug evaluation. Additionally, it discusses future challenges and developmental directions for the MGBA multiorgan chip technologies in this field.

Indexed as

drug evaluationmicrobiota‐gut‐brain axismicrofluidicsorgan‐on‐a‐chip

Identifiers

PMID41676439
PMCPMC12806149

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.