Evidence map›Paper›PMID 38384383›Full record

ArticlePNAS nexus2024

Gut-liver microphysiological systems revealed potential crosstalk mechanism modulating drug metabolism.

Dhimas Agung Kurniawan, Sylvia Leo, Mutsumi Inamatsu, Sohei Funaoka, Taichi Aihara, Mizuno Aiko, Inoue Rei, Takeshi Sakura, Hiroshi Arakawa, Yukio Kato and 8 more

Open access · goldAbstract read
In one paragraph

Article in PNAS nexus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
7.9field-weighted citation impact, top 2% of its field
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

7 citing papers in PubMed, 17 citations in OpenAlex.

  1. Review
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  7. Intestinal organ chips for disease modelling and personalized medicine.Nature reviews. Gastroenterology & hepatology · 2024
    Review
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

18 authors at 7 institutions in 1 country.

Dhimas Agung KurniawanDepartment of Chemical System Engineering, Graduate School of Engineering, University of Tokyo, Tokyo 113-8656, Japan.ORCID https://orcid.org/0009-0000-9449-2197
Sylvia LeoSchool of Life Science and Technology, Tokyo Institute of Technology, Kanagawa 226-8501, Japan.
Mutsumi InamatsuPhoenixBio Co. Ltd., Higashi-Hiroshima, Hiroshima 739-0046, Japan.
Sohei FunaokaSumitomo Bakelite Co. Ltd., Tokyo 140-0002, Japan.
Taichi AiharaSumitomo Bakelite Co. Ltd., Tokyo 140-0002, Japan.
Mizuno AikoSumitomo Bakelite Co. Ltd., Tokyo 140-0002, Japan.
Inoue ReiSumitomo Bakelite Co. Ltd., Tokyo 140-0002, Japan.ORCID https://orcid.org/0009-0006-0942-9972
Takeshi SakuraSumitomo Bakelite Co. Ltd., Tokyo 140-0002, Japan.
Hiroshi ArakawaFaculty of Pharmacy Institute of Medical, Pharmaceutical and Health Science, Kanazawa University, Kanazawa 920-1192, Japan.ORCID https://orcid.org/0000-0001-6773-7646
Yukio KatoFaculty of Pharmacy Institute of Medical, Pharmaceutical and Health Science, Kanazawa University, Kanazawa 920-1192, Japan.ORCID https://orcid.org/0000-0001-8135-5679
Tomoaki MatsugiMitsui Chemicals Inc., Tokyo 104-0028, Japan.
Katsuhiro EsashikaMitsui Chemicals Inc., Tokyo 104-0028, Japan.
Nobuaki ShirakiSchool of Life Science and Technology, Tokyo Institute of Technology, Kanagawa 226-8501, Japan.
Shoen KumeSchool of Life Science and Technology, Tokyo Institute of Technology, Kanagawa 226-8501, Japan.ORCID https://orcid.org/0000-0002-4292-205X
Kenta ShinhaMicro/Nano Technology Center, Tokai University, Kanagawa 259-1292, Japan.ORCID https://orcid.org/0009-0000-3146-667X
Hiroshi KimuraMicro/Nano Technology Center, Tokai University, Kanagawa 259-1292, Japan.ORCID https://orcid.org/0000-0003-0623-0248
Masaki NishikawaDepartment of Chemical System Engineering, Graduate School of Engineering, University of Tokyo, Tokyo 113-8656, Japan.ORCID https://orcid.org/0000-0003-4253-3211
Yasuyuki SakaiDepartment of Chemical System Engineering, Graduate School of Engineering, University of Tokyo, Tokyo 113-8656, Japan.ORCID https://orcid.org/0000-0002-2249-6516
Sumitomo Bakelite (Japan) · JPThe University of Tokyo · JPTokyo Institute of Technology · JPKanazawa University · JPMitsui Chemicals (Japan) · JPTokai University · JPPhoenixBio (Japan) · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The small intestine and liver play important role in determining oral drug's fate. Both organs are also interconnected through enterohepatic circulation, which imply there are crosstalk through circulating factors such as signaling molecules or metabolites that may affect drug metabolism. Coculture of hepatocytes and intestinal cells have shown to increase hepatic drug metabolism, yet its crosstalk mechanism is still unclear. In this study, we aim to elucidate such crosstalk by coculturing primary human hepatocytes harvested from chimeric mouse (PXB-cells) and iPSc-derived intestinal cells in a microphysiological systems (MPS). Perfusion and direct oxygenation from the MPS were chosen and confirmed to be suitable features that enhanced PXB-cells albumin secretion, cytochrome P450 (CYP) enzymes activity while also maintaining barrier integrity of iPSc-derived intestine cells. Results from RNA-sequencing showed significant upregulation in gene ontology terms related to fatty acids metabolism in PXB-cells. One of such fatty acids, arachidonic acid, enhanced several CYP enzyme activity in similar manner as coculture. From the current evidences, it is speculated that the release of bile acids from PXB-cells acted as stimuli for iPSc-derived intestine cells to release lipoprotein which was ultimately taken by PXB-cells and enhanced CYP activity.

Indexed as

drug metabolismlivermicrophysiological system (MPS)organ crosstalksmall intestine

Identifiers

PMID38384383
PMCPMC10879850
OpenAlexW4391678495

What OpenQuestion 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 OpenQuestion graph.