Noel Mueller

Dr. Noel Mueller

orcid

Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 February 2015 in Trends in Molecular Medicine
Verified
Journal Article
Closed access
NMNoel Mueller
Noel Mueller
EBElizabeth Bakacs
Elizabeth Bakacs
JCJoan Combellick
Joan Combellick
ZGZoya Grigoryan
Zoya Grigoryan
MDMaria G. Dominguez-Bello
Maria G. Dominguez-Bello

14 November 2016 in Diabetes Care
Verified
Journal Article
Open access
PDF file
JCJuan Jacobo De la Cuesta-Zuluaga
Juan Jacobo De la Cuesta-Zuluaga
NMNoel Mueller
Noel Mueller
VCVanessa Corrales-Agudelo
Vanessa Corrales-Agudelo
EVEliana P. Velásquez-Mejía
Eliana P. Velásquez-Mejía
JCJenny A. Carmona
Jenny A. Carmona
Juan EscobarJuan Escobar
Juan Escobar
OBJECTIVE: Recent studies suggest the beneficial effects of metformin on glucose metabolism may be microbially mediated. We examined the association of type 2 diabetes, metformin, and gut microbiota in community-dwelling Colombian adults. On the basis of previous research, we hypothesized that metformin is associated with higher levels of short-chain fatty acid (SCFA)–producing and mucin-degrading microbiota. RESEARCH DESIGN AND METHODS: Participants were selected from a larger cohort of 459 participants. The present analyses focus on the 28 participants diagnosed with diabetes—14 taking metformin— and the 84 participants without diabetes who were matched (3-to-1) to participants with diabetes by sex, age, and BMI. We measured demographic information, anthropometry, and blood biochemical parameters and collected fecal samples from which we performed 16S rRNA gene sequencing to analyze the composition and structure of the gut microbiota. RESULTS: We found an association between diabetes and gut microbiota that was modified by metformin use. Compared with participants without diabetes, participants with diabetes taking metformin had higher relative abundance of Akkermansia muciniphila, a microbiota known for mucin degradation, and several gut microbiota known for production of SCFAs, including Butyrivibrio, Bifidobacterium bifidum, Megasphaera, and an operational taxonomic unit of Prevotella. In contrast, compared with participants without diabetes, participants with diabetes not taking metformin had higher relative abundance of Clostridiaceae 02d06 and a distinct operational taxonomic unit of Prevotella and a lower abundance of Enterococcus casseliflavus. CONCLUSIONS: Our results support the hypothesis that metformin shifts gut microbiota composition through the enrichment of mucin-degrading A. muciniphila as well as several SCFA-producing microbiota. Future studies are needed to determine if these shifts mediate metformin’s glycemic and anti-inflammatory properties.

27 December 2018 in Nutrients
Verified
Journal Article
Open access
PDF file
JCJuan Jacobo De la Cuesta-Zuluaga
Juan Jacobo De la Cuesta-Zuluaga
NMNoel Mueller
Noel Mueller
RARafael Alvarez-Quintero
Rafael Alvarez-Quintero
EVEliana P. Velásquez-Mejía
Eliana P. Velásquez-Mejía
JRJelver Alexander Sierra Restrepo
Jelver Alexander Sierra Restrepo
Juan EscobarJuan Escobar
Juan Escobar
Fiber fermentation by gut microbiota yields short-chain fatty acids (SCFAs) that are either absorbed by the gut or excreted in feces. Studies are conflicting as to whether SCFAs are beneficial or detrimental to cardiometabolic health, and how gut microbiota associated with SCFAs is unclear. In this study of 441 community-dwelling adults, we examined associations of fecal SCFAs, gut microbiota diversity and composition, gut permeability, and cardiometabolic outcomes, including obesity and hypertension. We assessed fecal microbiota by 16S rRNA gene sequencing, and SCFA concentrations by gas chromatography/mass spectrometry. Fecal SCFA concentrations were inversely associated with microbiota diversity, and 70 unique microbial taxa were differentially associated with at least one SCFA (acetate, butyrate or propionate). Higher SCFA concentrations were associated with a measure of gut permeability, markers of metabolic dysregulation, obesity and hypertension. Microbial diversity showed association with these outcomes in the opposite direction. Associations were significant after adjusting for measured confounders. In conclusion, higher SCFA excretion was associated with evidence of gut dysbiosis, gut permeability, excess adiposity, and cardiometabolic risk factors. Studies assessing both fecal and circulating SCFAs are needed to test the hypothesis that the association of higher fecal SCFAs with obesity and cardiometabolic dysregulation is due to less efficient SCFA absorption.

9 October 2014 in International Journal of Obesity
Verified
Journal Article
Closed access
PDF file
NMNoel Mueller
Noel Mueller
RWR Whyatt
R Whyatt
LHL Hoepner
L Hoepner
SOS Oberfield
S Oberfield
MDM G Dominguez-Bello
M G Dominguez-Bello
ARA Rundle
A Rundle

18 May 2021 in Diabetes Care
Verified
Journal Article
Open access
PDF file
NMNoel Mueller
Noel Mueller
MDMoira K. Differding
Moira K. Differding
MZMingyu Zhang
Mingyu Zhang
NMNisa M. Maruthur
Nisa M. Maruthur
SJStephen P. Juraschek
Stephen P. Juraschek
HYHsin-Chieh Yeh
Hsin-Chieh Yeh
OBJECTIVE: To determine the longer-term effects of metformin treatment and behavioral weight loss on gut microbiota and short-chain fatty acids (SCFAs).RESEARCH DESIGN AND METHODS: We conducted a 3-parallel-arm, randomized trial. We enrolled overweight/obese adults who had been treated for solid tumors but had no ongoing cancer treatment and randomized them (n = 121) to either 1) metformin (up to 2,000 mg), 2) coach-directed behavioral weight loss, or 3) self-directed care (control) for 12 months. We collected stool and serum at baseline (n = 114), 6 months (n = 109), and 12 months (n = 105). From stool, we extracted microbial DNA and conducted amplicon and metagenomic sequencing. We measured SCFAs and other biochemical parameters from fasting serum.RESULTS: Of the 121 participants, 79% were female and 46% were Black, and the mean age was 60 years. Only metformin treatment significantly altered microbiota composition. Compared with control, metformin treatment increased amplicon sequence variants for Escherichia (confirmed as Escherichia coli by metagenomic sequencing) and Ruminococcus torques and decreased Intestinibacter bartlettii at both 6 and 12 months and decreased the genus Roseburia, including R. faecis and R. intestinalis, at 12 months. Effects were similar in comparison of the metformin group with the behavioral weight loss group. Metformin versus control also increased butyrate, acetate, and valerate at 6 months (but not at 12 months). Behavioral weight loss versus control did not significantly alter microbiota composition but did increase acetate at 6 months (but not at 12 months). Increases in acetate were associated with decreases in fasting insulin. Additional whole-genome metagenomic sequencing of a subset of the metformin group showed that metformin altered 62 metagenomic functional pathways, including an acetate-producing pathway and three pathways in glucose metabolism.CONCLUSIONS: Metformin, but not behavioral weight loss, impacted gut microbiota composition at 6 months and 12 months. Both metformin and behavioral weight loss altered circulating SCFAs at 6 months, including increasing acetate, which correlated with lower fasting insulin. Future research is needed to elucidate whether the gut microboime mediates or modifies metformin’s health effects.

1 April 2016 in Scientific Reports
Verified
Journal Article
Open access
NMNoel Mueller
Noel Mueller
HSHakdong Shin
Hakdong Shin
APAline Pizoni
Aline Pizoni
IWIsabel C. Werlang
Isabel C. Werlang
UMUrsula Matte
Ursula Matte
MDMaria Gloria Dominguez-Bello
Maria Gloria Dominguez-Bello
The intestinal microbiome is a unique ecosystem that influences metabolism in humans. Experimental evidence indicates that intestinal microbiota can transfer an obese phenotype from humans to mice. Since mothers transmit intestinal microbiota to their offspring during labor, we hypothesized that among vaginal deliveries, maternal body mass index is associated with neonatal gut microbiota composition. We report the association of maternal pre-pregnancy body mass index on stool microbiota from 74 neonates, 18 born vaginally (5 to overweight or obese mothers) and 56 by elective C-section (26 to overweight or obese mothers). Compared to neonates delivered vaginally to normal weight mothers, neonates born to overweight or obese mothers had a distinct gut microbiota community structure (weighted UniFrac distance PERMANOVA, p < 0.001), enriched in Bacteroides and depleted in Enterococcus, Acinetobacter, Pseudomonas, and Hydrogenophilus. We show that these microbial signatures are predicted to result in functional differences in metabolic signaling and energy regulation. In contrast, among elective Cesarean deliveries, maternal body mass index was not associated with neonatal gut microbiota community structure (weighted UniFrac distance PERMANOVA, p = 0.628). Our findings indicate that excess maternal pre-pregnancy weight is associated with differences in neonatal acquisition of microbiota during vaginal delivery, but not Cesarean delivery. These differences may translate to altered maintenance of metabolic health in the offspring.