Evidence map›Paper›PMID 37858106›Full record

ArticleNutrition & metabolism2023

Differential effects of plant-based flours on metabolic homeostasis and the gut microbiota in high-fat fed rats.

Taylor M Martinez, Hallie R Wachsmuth, Rachel K Meyer, Savanna N Weninger, Adelina I Lane, Archana Kangath, Gabriele Schiro, Daniel Laubitz, Jennifer H Stern, Frank A Duca

Open access · goldAbstract read
In one paragraph

Article in Nutrition & metabolism, 2023. 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
0.5field-weighted citation impact, top 32% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Article
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

10 authors at 1 institution in 1 country.

Taylor M Martinez *Physiological Sciences Graduate Interdisciplinary Program, University of Arizona, Tucson, AZ, USA.
Hallie R Wachsmuth *Physiological Sciences Graduate Interdisciplinary Program, University of Arizona, Tucson, AZ, USA.
Rachel K MeyerSchool of Nutritional Science and Wellness, University of Arizona, Tucson, AZ, USA.
Savanna N WeningerPhysiological Sciences Graduate Interdisciplinary Program, University of Arizona, Tucson, AZ, USA.
Adelina I LanePhysiological Sciences Graduate Interdisciplinary Program, University of Arizona, Tucson, AZ, USA.
Archana KangathSchool of Animal and Comparative Biomedical Sciences, University of Arizona, ACBS Building, 1117 E Lowell St., Tucson, AZ, 85711, USA.
Gabriele SchiroThe PANDA Core for Genomics and Microbiome Research, Department of Pediatrics, University of Arizona, Tucson, AZ, USA.
Daniel LaubitzThe PANDA Core for Genomics and Microbiome Research, Department of Pediatrics, University of Arizona, Tucson, AZ, USA.
Jennifer H SternDivision of Endocrinology, University of Arizona College of Medicine, Tucson, AZ, USA.
Frank A DucaSchool of Animal and Comparative Biomedical Sciences, University of Arizona, ACBS Building, 1117 E Lowell St., Tucson, AZ, 85711, USA. faduca@arizona.edu.
University of Arizona · US

Funding

The Role of Short-Chain Fatty Acid Sensing in Regulating Hepatic Glucose ProductionR01DK121804 · NIDDK · UNIVERSITY OF ARIZONA · PI DUCA, FRANK ANTHONY · 2019 to 2023
$1.8M
Glyphosate impairs glucose homeostasis via gut microbiome induced alterations to bile acid signalingF31DK137424 · NIDDK · UNIVERSITY OF ARIZONA · PI MEYER, RACHEL · 2023 to 2024
$92k
NIDDK NIH HHS 1F31DK137424NIDDK NIH HHS R01 DK121804NIDDK NIH HHS R01DK121804
6 · The paper itself

Abstract

backgroundThe gut microbiome is a salient contributor to the development of obesity, and diet is the greatest modifier of the gut microbiome, which highlights the need to better understand how specific diets alter the gut microbiota to impact metabolic disease. Increased dietary fiber intake shifts the gut microbiome and improves energy and glucose homeostasis. Dietary fibers are found in various plant-based flours which vary in fiber composition. However, the comparative efficacy of specific plant-based flours to improve energy homeostasis and the mechanism by which this occurs is not well characterized.

methodsIn experiment 1, obese rats were fed a high fat diet (HFD) supplemented with four different plant-based flours for 12 weeks. Barley flour (BF), oat bran (OB), wheat bran (WB), and Hi-maize amylose (HMA) were incorporated into the HFD at 5% or 10% total fiber content and were compared to a HFD control. For experiment 2, lean, chow-fed rats were switched to HFD supplemented with 10% WB or BF to determine the preventative efficacy of flour supplementation.

resultsIn experiment 1, 10% BF and 10% WB reduced body weight and adiposity gain and increased cecal butyrate. Gut microbiota analysis of WB and BF treated rats revealed increases in relative abundance of SCFA-producing bacteria. 10% WB and BF were also efficacious in preventing HFD-induced obesity; 10% WB and BF decreased body weight and adiposity, improved glucose tolerance, and reduced inflammatory markers and lipogenic enzyme expression in liver and adipose tissue. These effects were accompanied by alterations in the gut microbiota including increased relative abundance of Lactobacillus and LachnospiraceaeUCG001, along with increased portal taurodeoxycholic acid (TDCA) in 10% WB and BF rats compared to HFD rats.

conclusionsTherapeutic and preventative supplementation with 10%, but not 5%, WB or BF improves metabolic homeostasis, which is possibly due to gut microbiome-induced alterations. Specifically, these effects are proposed to be due to increased concentrations of intestinal butyrate and circulating TDCA.

Indexed as

FiberMetabolismMicrobiomeObesity

Identifiers

PMID37858106
PMCPMC10585811
OpenAlexW4387780706

What OpenQuestion holds

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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.