Evidence map›Paper›PMID 40491488›Full record

ArticleiScience2025

Porphyran from discolored nori prevents metabolic syndrome through microbiota-bile acid-ceramide pathway.

Yoko Yokoyama, Yoko Takashina, Jean-David Morel, Tanon Taworntawat, Naho Kitamura, Utana Nagano, Tatsuya Tanigaki, Anna Nakamura, Teruo Miyazaki, Hiroki Taoka and 12 more

Abstract read
In one paragraph

Article in iScience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

22 authors.

Yoko YokoyamaGraduate School of Media and Governance, Keio University, 5322, Endo, Fujisawa, Kanagawa 252-0882, Japan.
Yoko TakashinaHealth Science Laboratory, Keio Research Institute at SFC, Keio University, 5322, Endo, Fujisawa, Kanagawa 252-0882, Japan.
Jean-David MorelLaboratory of Integrative Systems Physiology, Institute of Bioengineering, Ecole Polytechnique Fédérale de Lausanne, 1015 Lausanne, Switzerland.
Tanon TaworntawatGraduate School of Media and Governance, Keio University, 5322, Endo, Fujisawa, Kanagawa 252-0882, Japan.
Naho KitamuraGraduate School of Media and Governance, Keio University, 5322, Endo, Fujisawa, Kanagawa 252-0882, Japan.
Utana NaganoHealth Science Laboratory, Keio Research Institute at SFC, Keio University, 5322, Endo, Fujisawa, Kanagawa 252-0882, Japan.
Tatsuya TanigakiHealth Science Laboratory, Keio Research Institute at SFC, Keio University, 5322, Endo, Fujisawa, Kanagawa 252-0882, Japan.
Anna NakamuraHealth Science Laboratory, Keio Research Institute at SFC, Keio University, 5322, Endo, Fujisawa, Kanagawa 252-0882, Japan.
Teruo MiyazakiJoint Research Center, Tokyo Medical University Ibaraki Medical Center, Ibaraki 300-0395, Japan.
Hiroki TaokaHealth Science Laboratory, Keio Research Institute at SFC, Keio University, 5322, Endo, Fujisawa, Kanagawa 252-0882, Japan.
Adrienne MottisLaboratory of Integrative Systems Physiology, Institute of Bioengineering, Ecole Polytechnique Fédérale de Lausanne, 1015 Lausanne, Switzerland.
Alessia PerinoLaboratory of Metabolic Signaling, Institute of Bioengineering, Ecole Polytechnique Fédérale de Lausanne, 1015 Lausanne, Switzerland.
Atsushi ShinjoGraduate School of Media and Governance, Keio University, 5322, Endo, Fujisawa, Kanagawa 252-0882, Japan.
Norihiro SuzukiHealth Science Lab Laboratories, Shonan Keiiku Hospital, 4360 Endo, Fujisawa, Kanagawa 252-0816, Japan.
Setsuo TakekawaHealth Science Lab Laboratories, Shonan Keiiku Hospital, 4360 Endo, Fujisawa, Kanagawa 252-0816, Japan.
Shinji FukudaGraduate School of Media and Governance, Keio University, 5322, Endo, Fujisawa, Kanagawa 252-0882, Japan.
Akira HondaJoint Research Center, Tokyo Medical University Ibaraki Medical Center, Ibaraki 300-0395, Japan.
Kenji IshiharaSeafood Safety and Technology Division, Fisheries Technology Institute, Japan Fisheries Research and Education Agency, Yokohama 236-8648 Japan.
Makoto AritaRIKEN Center for Integrative Medical Sciences, Suehiro-cho, Tsurumi-ku, Yokohama, Kanagawa 230-0045, Japan.
Kazuo TsubotaHealth Science Laboratory, Keio Research Institute at SFC, Keio University, 5322, Endo, Fujisawa, Kanagawa 252-0882, Japan.
Johan AuwerxLaboratory of Integrative Systems Physiology, Institute of Bioengineering, Ecole Polytechnique Fédérale de Lausanne, 1015 Lausanne, Switzerland.
Mitsuhiro WatanabeGraduate School of Media and Governance, Keio University, 5322, Endo, Fujisawa, Kanagawa 252-0882, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nori is a component of the traditional Japanese diet. The Japanese have a low prevalence of obesity and cardiovascular disease worldwide, and components of nori may have disease-preventive effects. Here, we focused on porphyran, which is abundant in nori that is discarded due to discoloration, and investigated the effects of nori-derived porphyran on gut microbiota, bile acid composition, and ceramide synthesis. Administration of porphyran to mice prevented obesity, diabetes, metabolic dysfunction-associated steatohepatitis (MASH), and hepatocellular carcinoma (HCC). This improvement correlates with a decrease in secondary bile acids, a decrease in intestinal farnesoid X receptor (FXR) signaling, and a marked decrease in blood ceramide. Porphyran, abundant in discolored nori, should be the subject of future translational research to prevent diseases with significant unmet medical needs and improve global environmental sustainability.

Indexed as

Biological sciencesEndocrinologyNatural sciencesPhysiology

Identifiers

PMID40491488
PMCPMC12148601

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.