Evidence map›Paper›PMID 28971602›Full record

ArticlePharmacology research & perspectives2017

Daikenchuto (TU-100) alters murine hepatic and intestinal drug metabolizing enzymes in an in vivo dietary model: effects of gender and withdrawal.

Kentaro Nobutani, Jun Miyoshi, Mark W Musch, Mitsue Nishiyama, Junko Watanabe, Atsushi Kaneko, Masahiro Yamamoto, Masaru Yoshida, Toru Kono, Hyunyoung Jeong and 1 more

Open access · goldAbstract read
In one paragraph

Article in Pharmacology research & perspectives, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 30% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

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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

11 authors at 5 institutions in 2 countries.

Kentaro NobutaniDepartment of Medicine, Knapp Center for Biomedical Center, The University of Chicago, Chicago, Illinois.
Jun MiyoshiDepartment of Medicine, Knapp Center for Biomedical Center, The University of Chicago, Chicago, Illinois.
Mark W MuschDepartment of Medicine, Knapp Center for Biomedical Center, The University of Chicago, Chicago, Illinois.ORCID 0000-0002-3122-8089
Mitsue NishiyamaTsumura Research Laboratories, Tsumura & Co., Ami, Ibaraki, Japan.
Junko WatanabeTsumura Research Laboratories, Tsumura & Co., Ami, Ibaraki, Japan.
Atsushi KanekoTsumura Research Laboratories, Tsumura & Co., Ami, Ibaraki, Japan.ORCID 0000-0003-4392-912X
Masahiro YamamotoTsumura Research Laboratories, Tsumura & Co., Ami, Ibaraki, Japan.ORCID 0000-0002-3066-6044
Masaru YoshidaDivision of Gastroenterology, Department of Internal Medicine, Kobe University Graduate School of Medicine, Kobe, Hyogo, Japan.
Toru KonoCenter for Clinical and Biomedical Research, Sapporo Higashi Tokushukai Hospital, Sapporo, Hokkaido, Japan.
Hyunyoung JeongDepartments of Pharmacy Practice and Biopharmaceutical Sciences, College of Pharmacy, University of Illinois, Chicago, Illinois.
Eugene B ChangDepartment of Medicine, Knapp Center for Biomedical Center, The University of Chicago, Chicago, Illinois.
Tsumura Research Institute (Japan) · JPUniversity of Chicago · USAsahikawa Medical University · JPKobe University · JPUniversity of Illinois Urbana-Champaign · US

Funding

ULTRASTRUCTURE AND CYTOMORPHOLOGY COREP30DK042086 · NIDDK · UNIVERSITY OF CHICAGO · PI CHANG, EUGENE B · 1990 to 2025
$29.8M
Dietary fat effects on gut microbes, host immune state and experimental colitisR01DK097268 · NIDDK · UNIVERSITY OF CHICAGO · PI CHANG, EUGENE B · 2012 to 2016
$2.2M
NIDDK NIH HHS P30 DK042086NIDDK NIH HHS R01 DK097268
6 · The paper itself

Abstract

Herbal medicines and natural products used for maintenance of health or treatment of diseases have many biological effects, including altering the pharmacokinetics and metabolism of other medications. Daikenchuto (TU-100), an aqueous extract of ginger, ginseng, and Japanese green pepper fruit, is a commonly prescribed Kampo (Japanese herbal medicine) for postoperative ileus or bloating. The effects of TU-100 on drug metabolism have not been investigated. In this study, we analyzed the effect of TU-100 on expression of key drug-metabolizing enzymes (DMEs) and drug transporters (DTs) in murine liver and gastrointestinal tract using a dietary model. Liver, jejunum, and proximal colon were analyzed for phase I and II DMEs and DT mRNA expression by reverse transcription (RT) first by nonquantitative and followed by quantitative polymerase chain reaction (PCR) and protein expression. Liver, jejunum, and proximal colon expressed some identical but also unique DMEs and DTs. TU-100 increased the greatest changes in cytochrome (Cyp) 2b10 and Cyp3a11 and Mdr1a. Basal and TU-100 stimulated levels of DME and DT expression were gender-dependent, dose-dependent and reversible after cessation of TU-100 supplementation, except for some changes in the intestine. Quantitative Western blot analysis of protein extracts confirmed the quantitative PCR results.

Indexed as

AnimalsAryl Hydrocarbon HydroxylasesATP Binding Cassette Transporter, Subfamily BCytochrome P-450 CYP3ACytochrome P450 Family 2Dietary SupplementsDose-Response Relationship, DrugFemaleGene Expression Regulation, EnzymologicIntestinesLiverMaleMembrane ProteinsMiceModels, AnimalPanaxAryl Hydrocarbon HydroxylasesATP Binding Cassette Transporter, Subfamily BCyp2b10 protein, mouseCyp3a11 protein, mouseCytochrome P-450 CYP3ACytochrome P450 Family 2dai-kenchu-toMembrane Proteinsmultidrug resistance protein 3Plant ExtractsSteroid HydroxylasesDrug metabolizing enzymesdrug transportersgingerginsengsansho pepper

Identifiers

PMID28971602
PMCPMC5625165
OpenAlexW2762252393

What OpenQuestion holds

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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.