ID

45269

Descrição

Principal Investigator: Zhiheng Pei, MD, PhD, NYU Langone Medical Center, New York, NY, USA MeSH: Esophageal Adenocarcinoma,Barrett's Esophagus,GERD https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000260 The distal esophagus is an important anatomical area where gastric acid reflux can cause reflux esophagitis (RE), Barrett's esophagus (BE) (intestinal metaplasia), and esophageal adenocarcinoma (EA). The incidence of EA has increased 6-fold in the U.S. since the 1970s, parallel to a significant increase in the prevalence of gastroesophageal reflux diseases (GERD). Although specific host factors might predispose one to disease risk, such a rapid increase in incidence must be predominantly environmental. The cause remains unknown. Our hypothesis is that changes in the foregut microbiome are associated with EA and its precursors, RE and BE in the GERD sequence. We will conduct a case control study to characterize the microbiome in every stage of the GERD sequence as well as analyze the trend in changes in the microbiome along disease progression toward EA. Specific Aim 1. To conduct a comprehensive population survey of the foregut microbiome and demonstrate its association with GERD sequence, by a 16S rRNA gene survey. We will analyze samples of the foregut microbiome at three anatomic loci: mouth, distal esophagus, and gastric corpus. Changes of the microbiota in the distal esophagus will be correlated with the phenotypes. Spatial relationship between the esophageal microbiota and upstream (mouth) and downstream (stomach) foregut microbiotas as well as temporal stability of the microbiome-disease association will also be examined. Specific Aim 2. To define distal esophageal metagenome and demonstrate its association with GERD sequence, by shotgun metagenomic analysis. We will first classify samples of the metagenome into metagenotypes by between-sample k-mer distance and correlate the metagenotypes with the four phenotypes. Subsequent detailed analyses will include pathway-disease and gene-disease associations. DNA viruses and fungi, if identified, also will be correlated with the phenotypes. A significant association between the foregut microbiome composition and GERD sequence, if demonstrated, will be the first step for eventually testing the causal hypothesis that an abnormal microbiome is required for the development of the sequence of phenotypic changes toward EA. If EA and its precursors represent a microbial ecological disease, treating the cause of GERD might become possible, for example, by normalizing the microbiome through use of antibiotics, probiotics, or prebiotics. Causative therapy for GERD could prevent its progression and reverse the current trend of increasing incidence of EA.

Link

dbGaP study = phs000260

Palavras-chave

  1. 07/06/2022 07/06/2022 - Dr. Christian Niklas
  2. 12/10/2022 12/10/2022 - Adrian Schulz
Titular dos direitos

Zhiheng Pei, MD, PhD

Transferido a

12 de outubro de 2022

DOI

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Licença

Creative Commons BY 4.0

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dbGaP phs000260 Foregut Microbiome in Development of Esophageal Adenocarcinoma

This subject sample mapping data table includes a mapping of study subject IDs to sample IDs. Samples are the final preps submitted for genotyping, sequencing, and/or expression data. For example, if one patient (subject ID) gave one sample, and that sample was processed differently to generate 2 sequencing runs, there would be two rows, both using the same subject ID, but having 2 unique sample IDs. The data table also includes sample use.

pht001257
Descrição

pht001257

Subject ID
Descrição

SUBJECT_ID

Tipo de dados

string

Alias
UMLS CUI [1,1]
C2348585
Sample ID
Descrição

SAMPLE_ID

Tipo de dados

string

Alias
UMLS CUI [1,1]
C1299222
Sample Use
Descrição

SAMPLE_USE

Tipo de dados

text

Alias
UMLS CUI [1,1]
C0370003
UMLS CUI [1,2]
C0457083

Similar models

This subject sample mapping data table includes a mapping of study subject IDs to sample IDs. Samples are the final preps submitted for genotyping, sequencing, and/or expression data. For example, if one patient (subject ID) gave one sample, and that sample was processed differently to generate 2 sequencing runs, there would be two rows, both using the same subject ID, but having 2 unique sample IDs. The data table also includes sample use.

Name
Tipo
Description | Question | Decode (Coded Value)
Tipo de dados
Alias
Item Group
pht001257
SUBJECT_ID
Item
Subject ID
string
C2348585 (UMLS CUI [1,1])
SAMPLE_ID
Item
Sample ID
string
C1299222 (UMLS CUI [1,1])
Item
Sample Use
text
C0370003 (UMLS CUI [1,1])
C0457083 (UMLS CUI [1,2])
Code List
Sample Use
CL Item
Metagenome sequencing (Seq_Metagenomic)
CL Item
16S rRNA sequencing (Seq_rRNA_16S)

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