ID

45978

Description

Principal Investigator: Patricia L. Hibberd, Division of Global Health, Massachusetts General Hospital for Children, Boston, MA, USA MeSH: Human Microbiome https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000896 A mechanistic understanding of the health benefits conferred by consumption of probiotic bacteria has been limited by our knowledge of the resident gut microbiota and its interaction with the host. We used fecal samples from a study of twelve healthy individuals aged 65-80 to characterize the structure and functional dynamics of the gut microbiota associated with consumption of the single-organism probiotic, Lactobacillus rhamnosus GG ATCC 53103 (LGG). Samples were collected prior to probiotic consumption (day 0), on day 28 immediately after consuming 10^10 CFU of LGG twice daily for 28 days and day 56, one month after stopping LGG consumption. Our integrative approach incorporated bacterial 16S rRNA gene sequencing, whole-community expression profiling using RNA-seq, and metagenomic sequencing. We highlight the value of combinatorial 'omics methods and concomitant high-resolution informatics to probe the role that probiotics may play on the structure and function of the resident microbiota.

Lien

dbGaP study=phs000896

Mots-clés

  1. 02/04/2024 02/04/2024 - Madita Rudolph
Détendeur de droits

Patricia L. Hibberd, Division of Global Health, Massachusetts General Hospital for Children, Boston, MA, USA

Téléchargé le

2 avril 2024

DOI

Pour une demande vous connecter.

Licence

Creative Commons BY 4.0

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dbGaP phs000896 Functional Dynamics of the Elderly Gut Microbiome During Probiotic Consumption

This subject phenotype data table includes subject age, sex, race, and BMI.

pht005125
Description

pht005125

Alias
UMLS CUI [1,1]
C3846158
De-identified Subject ID
Description

SUBJECT_ID

Type de données

string

Alias
UMLS CUI [1,1]
C4684638
UMLS CUI [1,2]
C2348585
Subject age
Description

age

Type de données

text

Unités de mesure
  • years
Alias
UMLS CUI [1,1]
C0001779
years
Gender of participant
Description

sex

Type de données

string

Alias
UMLS CUI [1,1]
C0079399
Race of participant
Description

race

Type de données

string

Alias
UMLS CUI [1,1]
C0034510
Subject's BMI
Description

bmi

Type de données

float

Unités de mesure
  • kg/m2
Alias
UMLS CUI [1,1]
C1305855
kg/m2

Similar models

This subject phenotype data table includes subject age, sex, race, and BMI.

Name
Type
Description | Question | Decode (Coded Value)
Type de données
Alias
Item Group
pht005125
C3846158 (UMLS CUI [1,1])
SUBJECT_ID
Item
De-identified Subject ID
string
C4684638 (UMLS CUI [1,1])
C2348585 (UMLS CUI [1,2])
age
Item
Subject age
text
C0001779 (UMLS CUI [1,1])
Item
Gender of participant
string
C0079399 (UMLS CUI [1,1])
Code List
Gender of participant
CL Item
Female (F)
C0086287 (UMLS CUI [1,1])
CL Item
Male (M)
C0086582 (UMLS CUI [1,1])
Item
Race of participant
string
C0034510 (UMLS CUI [1,1])
Code List
Race of participant
CL Item
African American (African American)
CL Item
Asian (Asian)
CL Item
White (White)
CL Item
Hispanic (Hispanic)
CL Item
Non-hispanic (Non-hispanic)
bmi
Item
Subject's BMI
float
C1305855 (UMLS CUI [1,1])

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