Evidence map›Paper›PMID 33997711›Full record

ArticleiScience2021

Gut microbiota, determined by dietary nutrients, drive modification of the plasma lipid profile and insulin resistance.

Yoshiyuki Watanabe, Shiho Fujisaka, Kazutaka Ikeda, Masaki Ishikawa, Takahiro Yamada, Allah Nawaz, Tomonobu Kado, Takahide Kuwano, Ayumi Nishimura, Muhammad Bilal and 4 more

Open access · goldAbstract read
In one paragraph

Article in iScience, 2021. 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
0.6field-weighted citation impact, top 36% 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, 10 citations in OpenAlex.

  1. Review
  2. Observational
  3. Review
  4. Article
  5. Article
  6. The gut microbiome: a core regulator of metabolism.The Journal of endocrinology · 2023
    Review
  7. 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

14 authors at 3 institutions in 1 country.

Yoshiyuki WatanabeFirst Department of Internal Medicine, Faculty of Medicine, Academic Assembly, University of Toyama, 2630 Sugitani, Toyama 930-0194, Japan.
Shiho FujisakaFirst Department of Internal Medicine, Faculty of Medicine, Academic Assembly, University of Toyama, 2630 Sugitani, Toyama 930-0194, Japan.
Kazutaka IkedaLaboratory of Biomolecule Analysis, Department of Applied Genomics, Kazusa DNA Research Institute, 2-6-7 Kazusa-kamatari, Kisarazu, Chiba 292-0818, Japan.
Masaki IshikawaLaboratory of Clinical Omics Research, Department of Applied Genomics, Kazusa DNA Research Institute, 2-5-23 Kazusa-kamatari, Kisarazu, Chiba 292-0818, Japan.
Takahiro YamadaDivision of Biochemistry, Faculty of Pharmacy and Graduate School of Pharmaceutical Sciences, Keio University, Minato-ku, Tokyo 105-8512, Japan.
Allah NawazDepartment of Molecular and Medical Pharmacology, Faculty of Medicine, Academic Assembly, University of Toyama, 2630 Sugitani, Toyama 930-0194, Japan.
Tomonobu KadoFirst Department of Internal Medicine, Faculty of Medicine, Academic Assembly, University of Toyama, 2630 Sugitani, Toyama 930-0194, Japan.
Takahide KuwanoFirst Department of Internal Medicine, Faculty of Medicine, Academic Assembly, University of Toyama, 2630 Sugitani, Toyama 930-0194, Japan.
Ayumi NishimuraFirst Department of Internal Medicine, Faculty of Medicine, Academic Assembly, University of Toyama, 2630 Sugitani, Toyama 930-0194, Japan.
Muhammad BilalFirst Department of Internal Medicine, Faculty of Medicine, Academic Assembly, University of Toyama, 2630 Sugitani, Toyama 930-0194, Japan.
Jianhui LiuFirst Department of Internal Medicine, Faculty of Medicine, Academic Assembly, University of Toyama, 2630 Sugitani, Toyama 930-0194, Japan.
Kunimasa YagiFirst Department of Internal Medicine, Faculty of Medicine, Academic Assembly, University of Toyama, 2630 Sugitani, Toyama 930-0194, Japan.
Koji HaseDivision of Biochemistry, Faculty of Pharmacy and Graduate School of Pharmaceutical Sciences, Keio University, Minato-ku, Tokyo 105-8512, Japan.
Kazuyuki TobeFirst Department of Internal Medicine, Faculty of Medicine, Academic Assembly, University of Toyama, 2630 Sugitani, Toyama 930-0194, Japan.
University of Toyama · JPKazusa DNA Research Institute · JPKeio University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The gut microbiota metabolizes the nutrients to produce various metabolites that play crucial roles in host metabolism. However, the links between the microbiota established by different nutrients and the microbiota-influenced changes in the plasma lipids remain unclear. Diets rich in cornstarch, fructose, branched chain amino acids, soybean oil (SO), or lard established a unique microbiota and had influence on glucose metabolism, which was partially reproduced by transferring the microbiota. Comparison of plasma lipidomic analysis between germ-free and colonized mice revealed significant impacts of the microbiota on various lipid classes, and of note, the microbiota established by the SO diet, which was associated with the greatest degree of glucose intolerance, caused the maximum alteration of the plasma lipid profile. Thus, the gut microbiota composed of dietary nutrients was associated with dynamic changes in the lipids potentially having differential effects on glucose metabolism.

Indexed as

LipidomicsMicrobiologyMicrobiome

Identifiers

PMID33997711
PMCPMC8105675
OpenAlexW3153853158

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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 OpenQuestion graph.