Evidence map›Paper›PMID 27903830›Full record

ArticleThe Journal of nutrition2017

Early-Life Sugar Consumption Affects the Rat Microbiome Independently of Obesity.

Emily E Noble, Ted M Hsu, Roshonda B Jones, Anthony A Fodor, Michael I Goran, Scott E Kanoski

Registry-linked trialAbstract read
In one paragraph

Article in The Journal of nutrition, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03543644 (A Randomized Controlled Trial of the Effect of Replacing Sugar-sweetened Beverages With Non-nutritive Sweetened Beverages or Water on Gut Microbiome and Metabolic Outcomes), which is not on this map. Cited by 61 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
61citing papers in PubMed, 1 pooled it
–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.

NCT03543644 nacompletednot on this mapstarted 2018, after this paper: background citation

A Randomized Controlled Trial of the Effect of Replacing Sugar-sweetened Beverages With Non-nutritive Sweetened Beverages or Water on Gut Microbiome and Metabolic Outcomes: STOP Sugars NOW Trial

TypeinterventionalSponsorUniversity of TorontoRan2018 to 2020Enrolled81ConditionsHealthy, Overweight and Obesity, Metabolic Syndrome, PreDiabetesArmsSugar-sweetened beverage (SSB), Non-nutritive sweetened beverages (NSB), Water
3 · Its place in the literature

Who cites it

61 citing papers in PubMed, 1 synthesis or guideline pooled it.

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1 more citing papers are in PubMed but not listed here.

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

6 authors.

Emily E NobleHuman and Evolutionary Biology Section, Department of Biological Sciences.
Ted M HsuHuman and Evolutionary Biology Section, Department of Biological Sciences.
Roshonda B JonesDepartment of Bioinformatics and Genetics, University of North Carolina at Charlotte, Charlotte, NC.
Anthony A FodorDepartment of Bioinformatics and Genetics, University of North Carolina at Charlotte, Charlotte, NC.
Michael I GoranDepartment of Preventative Medicine, University of Southern California, Los Angeles, CA; and.
Scott E KanoskiHuman and Evolutionary Biology Section, Department of Biological Sciences, kanoski@usc.edu.

Funding

Neural Circuits underlying ghrelin-mediated hyperphagiaF31DK107333 · NIDDK · UNIVERSITY OF SOUTHERN CALIFORNIA · PI HSU, TED MENGHSIUNG · 2016 to 2017
$42k
NIDDK NIH HHS F31 DK107333
6 · The paper itself

Abstract

backgroundThe gut microbiome has been implicated in various metabolic and neurocognitive disorders and is heavily influenced by dietary factors, but there is a paucity of research on the effects of added sugars on the gut microbiome.

objectiveWith the use of a rodent model, our goal was to determine how added-sugar consumption during the juvenile and adolescent phase of development affects the gut microbiome.

methodsForty-two juvenile male Sprague-Dawley rats [postnatal day (PND) 26; 50-70 g] were given access to 1 of 3 different 11%-carbohydrate solutions designed to model a range of monosaccharide ratios commonly consumed in sugar-sweetened beverages: 1) 35% fructose:65% glucose, 2) 50% fructose:50% glucose, 3) 65% fructose:35% glucose, and 4) control (no sugar). After ad libitum access to the respective solutions for the juvenile and adolescent period (PND 26-80), fecal samples were collected for next-generation 16S ribosomal RNA sequencing and multivariate microbial composition analyses. Energy intake, weight change, and adiposity index were analyzed in relation to sugar consumption and the microbiota.

resultsBody weight, adiposity index, and total caloric intake did not differ as a result of sugar consumption. However, sugar consumption altered the gut microbiome independently of anthropometric measures and caloric intake. At the genus level, Prevotella [linear discriminant analysis (LDA) score = -4.62; P < 0.001] and Lachnospiraceae incertae sedis (LDA score = -3.01; P = 0.03) were reduced, whereas Bacteroides (LDA score = 4.19; P < 0.001), Alistipes (LDA score = 3.88; P < 0.001), Lactobacillus (LDA score = 3.78; P < 0.001), Clostridium sensu stricto (LDA score = 3.77; P < 0.001), Bifidobacteriaceae (LDA score = 3.59; P = 0.001), and Parasutterella (LDA score = 3.79; P = 0.004) were elevated by sugar consumption. No overall pattern could be attributable to monosaccharide ratio.

conclusionsEarly-life sugar consumption affects the gut microbiome in rats independently of caloric intake, body weight, or adiposity index; these effects are robust across a range of fructose-to-glucose ratios.

Indexed as

AnimalsFecesFructoseGlucoseMaleMicrobiotaObesityRatsRats, Sprague-DawleyRNA, BacterialRNA, Ribosomal, 16SFructoseGlucoseRNA, BacterialRNA, Ribosomal, 16Sadolescencefructoseglucosegut microbiotajuvenile

Identifiers

PMID27903830
PMCPMC5177734

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Registered trials

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.