Evidence map›Paper›PMID 33003447›Full record

ArticleMicroorganisms2020

Multi-Omic Analysis Reveals Different Effects of Sulforaphane on the Microbiome and Metabolome in Old Compared to Young Mice.

Se-Ran Jun, Amrita Cheema, Chhanda Bose, Marjan Boerma, Philip T Palade, Eugenia Carvalho, Sanjay Awasthi, Sharda P Singh

Open access · goldAbstract read
In one paragraph

Article in Microorganisms, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

16 citing papers in PubMed, 22 citations in OpenAlex.

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  13. Multi-Omics Strategies for Investigating the Microbiome in Toxicology Research.Toxicological sciences : an official journal of the Society of Toxicology · 2022
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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

8 authors at 4 institutions in 2 countries.

Se-Ran JunDepartment of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA.ORCID 0000-0003-2681-3950
Amrita CheemaDepartments of Oncology and Biochemistry, Molecular and Cellular Biology, University Medical Center, Washington, DC 20057, USA.
Chhanda BoseDepartment of Internal Medicine, Division of Hematology & Oncology, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA.
Marjan BoermaDivision of Radiation Health, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA.ORCID 0000-0003-2249-5203
Philip T PaladeDepartment of Pharmacology and Toxicology, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA.
Eugenia CarvalhoCenter for Neuroscience and Cell Biology, University of Coimbra, 3004-531 Coimbra, Portugal.
Sanjay AwasthiDepartment of Internal Medicine, Division of Hematology & Oncology, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA.ORCID 0000-0002-5214-5717
Sharda P SinghDepartment of Internal Medicine, Division of Hematology & Oncology, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA.ORCID 0000-0003-4361-4558
Texas Tech University · USUniversity of Arkansas for Medical Sciences · USUniversity Medical Center · USUniversity of Coimbra · PT

Funding

American Heart Association 14GRNT18890084National Science Foundation OIA 1946391NIH HHS AG032643NIH HHS CA051008NIH HHS GM109005
6 · The paper itself

Abstract

Dietary factors modulate interactions between the microbiome, metabolome, and immune system. Sulforaphane (SFN) exerts effects on aging, cancer prevention and reducing insulin resistance. This study investigated effects of SFN on the gut microbiome and metabolome in old mouse model compared with young mice. Young (6-8 weeks) and old (21-22 months) male C57BL/6J mice were provided regular rodent chow ± SFN for 2 months. We collected fecal samples before and after SFN administration and profiled the microbiome and metabolome. Multi-omics datasets were analyzed individually and integrated to investigate the relationship between SFN diet, the gut microbiome, and metabolome. The SFN diet restored the gut microbiome in old mice to mimic that in young mice, enriching bacteria known to be associated with an improved intestinal barrier function and the production of anti-inflammatory compounds. The tricarboxylic acid cycle decreased and amino acid metabolism-related pathways increased. Integration of multi-omic datasets revealed SFN diet-induced metabolite biomarkers in old mice associated principally with the genera,

Indexed as

agingbiomarkersgut microbiomemetabolomesulforaphane

Identifiers

PMID33003447
PMCPMC7599699
OpenAlexW3090675969

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.