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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.

Link

dbGaP study = phs000258

Keywords

  1. 5/16/22 5/16/22 - Dr. Christian Niklas
  2. 10/12/22 10/12/22 - Adrian Schulz
Copyright Holder

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

Uploaded on

October 12, 2022

DOI

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License

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

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    Data type

    string

    Alias
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    Age of participant at first collection
    Description

    AGE

    Data type

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

    SEX

    Data type

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

    BMI

    Data type

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

    SBP

    Data type

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

    DBP

    Data type

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

    TG

    Data type

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

    CHL

    Data type

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

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

    LDL

    Data type

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

    WST

    Data type

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

    GLUC

    Data type

    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)
    Data type
    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
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    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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