ID

45278

Description

Principal Investigator: Claire Fraser-Liggett, University of Maryland School of Medicine, Baltimore, MD, USA MeSH: Obesity,Obesity, Morbid https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000258 Emerging evidence that the gut microbiota may contribute in important ways to human health and disease has led us and others to hypothesize that both symbiotic and pathological relationships between gut microbes and their host may be key contributors to obesity and the metabolic complications of obesity. Our "Thrifty Microbiome Hypothesis" poses that gut microbiota play a key role in human energy homeostasis. Specifically, constituents of the gut microbial community may introduce a survival advantage to its host in times of nutrient scarcity, promoting positive energy balance by increasing efficiency of nutrient absorption and improving metabolic efficiency and energy storage. However, in the presence of excess nutrients, fat accretion and obesity may result, and in genetically predisposed individuals, increased fat mass may result in preferential abdominal obesity, ectopic fat deposition (liver, muscle), and metabolic complications of obesity (insulin resistance, hypertension, hyperlipidemia). Furthermore, in the presence of excess nutrients, a pathological transition of the gut microbial community may occur, causing leakage of bacterial products into the intestinal lymphatics and portal circulation, thereby inducing an inflammatory state, further aggravating metabolic syndrome traits and accelerating atherosclerosis. This pathological transition and the extent to which antimicrobial leakage occurs and causes inflammatory and other maladaptive sequelae of obesity may also be influenced by host factors, including genetics. In the proposed study, we will directly test the Thrifty Microbiome Hypothesis by performing detailed genomic and functional assessment of gut microbial communities in intensively phenotyped and genotyped human subjects before and after intentional manipulation of the gut microbiome. To address these hypotheses, five specific aims are proposed: (1) enroll three age- and sex-matched groups from the Old Order Amish: (i) 50 obese subjects (BMI 30 kg/m2) with metabolic syndrome, (ii) 50 obese subjects (BMI 30 kg/m2) without metabolic syndrome, and (iii) 50 non-obese subjects (BMI 25 kg/m2) without metabolic syndrome and characterize the architecture of the gut microbiota from the subjects enrolled in this study by high-throughput sequencing of 16S rRNA genes; (2) characterize the gene content (metagenome) to assess the metabolic potential of the gut microbiota in 75 subjects to determine whether particular genes or pathways are correlated with disease phenotype; (3) characterize the transcriptome in 75 subjects to determine whether differences in gene expression in the gut microbiota are correlated with disease phenotype, (4) determine the effect of manipulation of the gut microbiota with antibiotics on energy homeostasis, inflammation markers, and metabolic syndrome traits in 50 obese subjects with metabolic syndrome and (5) study the relationship between gut microbiota and metabolic and cardiovascular disease traits, weight change, and host genomics in 1,000 Amish already characterized for these traits and in whom 500K Affymetrix SNP chips have already been completed. These studies will provide our deepest understanding to date of the role of gut microbes in terms of 'who's there?', 'what are they doing?', and 'how are they influencing host energy homeostasis, obesity and its metabolic complications? PUBLIC HEALTH RELEVANCE: This study aims to unravel the contribution of the bacteria that normally inhabit the human gastrointestinal tract to the development of obesity, and its more severe metabolic consequences including cardiovascular disease, insulin resistance and Type II diabetes. We will take a multidisciplinary approach to study changes in the structure and function of gut microbial communities in three sets of Old Order Amish patients from Lancaster, Pennsylvania: obese patients, obese patients with metabolic syndrome and non-obese individuals. The Old Order Amish are a genetically closed homogeneous Caucasian population of Central European ancestry ideal for genetic studies. These works have the potential to provide new mechanistic insights into the role of gut microflora in obesity and metabolic syndrome, a disease that is responsible for significant morbidity in the adult population, and may ultimately lead to novel approaches for prevention and treatment of this disorder.

Lien

dbGaP study = phs000258

Mots-clés

  1. 16/05/2022 16/05/2022 - Dr. Christian Niklas
  2. 12/10/2022 12/10/2022 - Adrian Schulz
Détendeur de droits

Claire Fraser-Liggett, University of Maryland School of Medicine, Baltimore, MD, USA

Téléchargé le

12 octobre 2022

DOI

Pour une demande vous connecter.

Licence

Creative Commons BY 4.0

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dbGaP phs000258 Human Gut Microbiome in Amish Obesity

Blood pressure, triglycerides, cholesterol, glucose, and anthropometrical measurements among participants affected or not affected with obesity.

pht001242
Description

pht001242

Sample ID
Description

SAMPID

Type de données

string

Alias
UMLS CUI [1,1]
C1299222
Age of participant at first collection
Description

AGE

Type de données

text

Alias
UMLS CUI [1,1]
C0001779
UMLS CUI [1,2]
C1302413
Gender of participant
Description

SEX

Type de données

text

Alias
UMLS CUI [1,1]
C0079399
Body mass index of participant at first collection
Description

BMI

Type de données

float

Alias
UMLS CUI [1,1]
C1305855
UMLS CUI [1,2]
C1302413
Systolic blood pressure of participant at first collection
Description

SBP

Type de données

text

Alias
UMLS CUI [1,1]
C0871470
UMLS CUI [1,2]
C1302413
Diastolic blood pressure of participant at first collection
Description

DBP

Type de données

text

Alias
UMLS CUI [1,1]
C0428883
UMLS CUI [1,2]
C1302413
Fasting triglycerides at first collection
Description

TG

Type de données

text

Alias
UMLS CUI [1,1]
C0015663
UMLS CUI [1,2]
C0202236
UMLS CUI [1,3]
C1302413
Fasting total-cholesterol at first collection
Description

CHL

Type de données

text

Alias
UMLS CUI [1,1]
C1445957
UMLS CUI [1,2]
C0015663
UMLS CUI [1,3]
C1302413
Fasting hdl-cholesterol at first collection
Description

HDL

Type de données

text

Alias
UMLS CUI [1,1]
C0428472
UMLS CUI [1,2]
C0015663
UMLS CUI [1,3]
C1302413
Fasting ldl-cholesterol at first collection
Description

LDL

Type de données

text

Alias
UMLS CUI [1,1]
C0582830
UMLS CUI [1,2]
C1302413
Waist circumference of participant at first collection
Description

WST

Type de données

float

Alias
UMLS CUI [1,1]
C0455829
UMLS CUI [1,2]
C1302413
Fasting glucose at first collection
Description

GLUC

Type de données

text

Alias
UMLS CUI [1,1]
C0428568
UMLS CUI [1,2]
C1302413

Similar models

Blood pressure, triglycerides, cholesterol, glucose, and anthropometrical measurements among participants affected or not affected with obesity.

Name
Type
Description | Question | Decode (Coded Value)
Type de données
Alias
Item Group
pht001242
SAMPID
Item
Sample ID
string
C1299222 (UMLS CUI [1,1])
AGE
Item
Age of participant at first collection
text
C0001779 (UMLS CUI [1,1])
C1302413 (UMLS CUI [1,2])
Item
Gender of participant
text
C0079399 (UMLS CUI [1,1])
Code List
Gender of participant
CL Item
Male (1)
CL Item
Female (2)
BMI
Item
Body mass index of participant at first collection
float
C1305855 (UMLS CUI [1,1])
C1302413 (UMLS CUI [1,2])
SBP
Item
Systolic blood pressure of participant at first collection
text
C0871470 (UMLS CUI [1,1])
C1302413 (UMLS CUI [1,2])
DBP
Item
Diastolic blood pressure of participant at first collection
text
C0428883 (UMLS CUI [1,1])
C1302413 (UMLS CUI [1,2])
TG
Item
Fasting triglycerides at first collection
text
C0015663 (UMLS CUI [1,1])
C0202236 (UMLS CUI [1,2])
C1302413 (UMLS CUI [1,3])
CHL
Item
Fasting total-cholesterol at first collection
text
C1445957 (UMLS CUI [1,1])
C0015663 (UMLS CUI [1,2])
C1302413 (UMLS CUI [1,3])
HDL
Item
Fasting hdl-cholesterol at first collection
text
C0428472 (UMLS CUI [1,1])
C0015663 (UMLS CUI [1,2])
C1302413 (UMLS CUI [1,3])
LDL
Item
Fasting ldl-cholesterol at first collection
text
C0582830 (UMLS CUI [1,1])
C1302413 (UMLS CUI [1,2])
WST
Item
Waist circumference of participant at first collection
float
C0455829 (UMLS CUI [1,1])
C1302413 (UMLS CUI [1,2])
GLUC
Item
Fasting glucose at first collection
text
C0428568 (UMLS CUI [1,1])
C1302413 (UMLS CUI [1,2])

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