Evidence map›Paper›PMID 30404613›Full record

ArticleBMC genomics2018

Differential effects of coconut versus soy oil on gut microbiota composition and predicted metabolic function in adult mice.

Vania Patrone, Andrea Minuti, Michela Lizier, Francesco Miragoli, Franco Lucchini, Erminio Trevisi, Filippo Rossi, Maria Luisa Callegari

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
2.4field-weighted citation impact, top 10% 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

27 citing papers in PubMed, 49 citations in OpenAlex.

  1. Trial
  2. Animals : an open access journal from MDPI · 2025
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  13. International journal of molecular sciences · 2021
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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 2 institutions in 1 country.

Vania PatroneDepartment for Sustainable Food Process (DiSTAS), Università Cattolica del Sacro Cuore, via E. Parmense 84, 29122, Piacenza, Italy. vania.patrone@unicatt.it.ORCID http://orcid.org/0000-0001-8825-3384
Andrea MinutiDepartment of Animal Sciences, Food and Nutrition (DIANA), Università Cattolica del Sacro Cuore, via E. Parmense 84, 29122, Piacenza, Italy.
Michela LizierMilan Unit, Istituto di Ricerca Genetica e Biomedica, CNR, Milan, Italy.
Francesco MiragoliBiotechnological Research Centre, Università Cattolica del Sacro Cuore, via Milano 24, 26100, Cremona, Italy.
Franco LucchiniBiotechnological Research Centre, Università Cattolica del Sacro Cuore, via Milano 24, 26100, Cremona, Italy.
Erminio TrevisiDepartment of Animal Sciences, Food and Nutrition (DIANA), Università Cattolica del Sacro Cuore, via E. Parmense 84, 29122, Piacenza, Italy.
Filippo RossiDepartment of Animal Sciences, Food and Nutrition (DIANA), Università Cattolica del Sacro Cuore, via E. Parmense 84, 29122, Piacenza, Italy.
Maria Luisa CallegariBiotechnological Research Centre, Università Cattolica del Sacro Cuore, via Milano 24, 26100, Cremona, Italy.
Università Cattolica del Sacro Cuore · ITInstitute of Genetic and Biomedical Research · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAnimal studies show that high fat (HF) diet-induced gut microbiota contributes to the development of obesity. Oil composition of high-fat diet affects metabolic inflammation differently with deleterious effects by saturated fat. The aim of the present study was to examine the diversity and metabolic capacity of the cecal bacterial community in C57BL/6 N mice administered two different diets, enriched respectively with coconut oil (HFC, high in saturated fat) or soy oil (HFS, high in polyunsaturated fat). The relative impact of each hypercaloric diet was evaluated after 2 and 8 weeks of feeding, and compared with that of a low-fat, control diet (LF).

resultsThe HFC diet induced the same body weight gain and fat storage as the HFS diet, but produced higher plasma cholesterol levels after 8 weeks of treatment. At the same time point, the cecal microbiota of HFC diet-fed mice was characterized by an increased relative abundance of Allobaculum, Anaerofustis, F16, Lactobacillus reuteri and Deltaproteobacteria, and a decreased relative abundance of Akkermansia muciniphila compared to HFS mice. Comparison of cecal microbiota of high-fat fed mice versus control mice indicated major changes that were shared between the HFC and the HFS diet, including the increase in Lactobacillus plantarum, Lutispora, and Syntrophomonas, while some other shifts were specifically associated to either coconut or soy oil. Prediction of bacterial gene functions showed that the cecal microbiota of HFC mice was depleted of pathways involved in fatty acid metabolism, amino acid metabolism, xenobiotic degradation and metabolism of terpenoids and polyketides compared to mice on HFS diet. Correlation analysis revealed remarkable relationships between compositional changes in the cecal microbiota and alterations in the metabolic and transcriptomic phenotypes of high-fat fed mice.

conclusionsThe study highlights significant differences in cecal microbiota composition and predictive functions of mice consuming a diet enriched in coconut vs soy oil. The correlations established between specific bacterial taxa and various traits linked to host lipid metabolism and energy storage give insights into the role and functioning of the gut microbiota that may contribute to diet-induced metabolic disorders.

Indexed as

Gastrointestinal MicrobiomeAnimalsCecumCocosDiet, High-FatFemaleInflammationLipid MetabolismMiceMice, Inbred C57BLMicrobiotaSoybean OilSoybean Oil16S rDNAAdipose tissueHigh-fat dietIllumina sequencingMicrobiotaMouseObesityReal-time PCR

Identifiers

PMID30404613
PMCPMC6223047
OpenAlexW2900428732

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.