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South Dakota State University

Optimization and Application of Metabolomic Assays for Analyzing Diet-induced and Gut Microbiota-derived Short-chain Fatty Acids in Mice and Humans

Abstract

dc:description.abstract

<p><strong>Introduction</strong>: In recent decades, the obesity epidemic worldwide has prompted the need for research targeting disease prevention, treatment, and maintenance. Dietary interventions are one of the primary methods to instill positive nutrition habits into one’s lifestyle. Thus, resistant starch type 4 (RS4), a prebiotic dietary fiber, has been proposed to induce beneficial immunometabolic health outcomes. Currently there is a lack of knowledge on the health outcomes of RS4 in adults with metabolic syndrome (MetS). Goal: The goal of this research was to optimize a metabolomic assay to quantify fecal short chain fatty acids (SCFAs), a byproduct of microbial fermentation in the gut, and to apply this assay to health outcomes of RS4 intervention in an adult population with MetS as well as genetically induced obese mice. <strong>Methods:</strong> An assay was optimized to extract and derivatize fecal SCFA from human stool samples followed by quantification using gas chromatography – mass spectrometry (GC-MS). Retrospective analysis of fecal samples from adults including both men (n=4) and women (n=12) with signs of MetS, collected at four time points throughout an <em>ad libitum</em> dietary intervention of RS4<sup>2</sup>, were processed and quantified. This method was also retrospectively applied to cecum samples of KK.Cg-A<sup>y</sup>/a, genetically induced obese mouse model, to quantify the effects of RS4 on cecum SCFA concentrations. 16S rRNA sequencing was performed to study the effect of RS4 on gut microbial composition. Blood biomarkers, glycemic, and lipid viariables, anthropometric measurements, and diet nutrient composition were also studied. <strong>Results</strong>: GC-MS analysis revealed significantly increased SCFAs following RS4 consumption including butyrate, propionate, valerate, isovallerate, and hexanoate. 16S-rRNA gene sequencing revealed a differential abundance of 71 bacterial operational taxonomic units, including the enrichment of three <em>Bacteroides</em> species and one each of <em>Parabacteroides, Oscillospira, Blautia,</em> <em>Ruminococcus, Eubacterium,</em> and <em>Christensenella</em> species in the RS4 group. RS4-specific associations were found between gut microbial composition and SCFA concentrations. Cholesterols, fasting glucose, glycosylated haemoglobin, and proinflammatory markers in the blood as well as waist circumference and % body fat were lower post intervention in the RS4 group compared with the control group. In KK.Cg-Ay/a mice, butyrate was significantly enriched in RS4 fed mice intestinal tissue. Discussion: An optimized method to quantify intestinal and fecal SCFA was created. The biological function of RS4 on gut microbiota in inidividuals with MetS was also identified. Larger studies are needed to fully understand the mechanistic action of RS4 in individuals with metabolic dysfunction for future implications on dietary guidelines.</p>

Degree

thesis:*
Name thesis:degree_name
Master of Science (MS)
Level thesis:degree_level
Thesis - Open Access
Discipline thesis:degree_discipline
Health and Nutritional Sciences
Year dc:date.available
2016

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Juenemann, Robert M.
Contributors dc:contributor
  • Moul Dey

Subjects

dc:subject × 4

Rights

dc:rights
Language dc:language
en

Identifiers

dc:identifier.*
Repository record dc:identifier
https://openprairie.sdstate.edu/etd/1123
OAI identifier oai:identifier
oai:openprairie.sdstate.edu:etd-2124

Chain of custody

source
Harvested from
South Dakota State University
Base URL
openprairie.sdstate.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Juenemann, Robert M.. Optimization and Application of Metabolomic Assays for Analyzing Diet-induced and Gut Microbiota-derived Short-chain Fatty Acids in Mice and Humans. Thesis - Open Access thesis, 2016. https://openprairie.sdstate.edu/etd/1123