Summary of Study ST003527

This data is available at the NIH Common Fund's National Metabolomics Data Repository (NMDR) website, the Metabolomics Workbench, https://www.metabolomicsworkbench.org, where it has been assigned Project ID PR002170. The data can be accessed directly via it's Project DOI: 10.21228/M84C19 This work is supported by NIH grant, U2C- DK119886.

See: https://www.metabolomicsworkbench.org/about/howtocite.php

This study contains a large results data set and is not available in the mwTab file. It is only available for download via FTP as data file(s) here.

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Study IDST003527
Study TitleCombining antibiotics alters the longitudinal maturation of gut microbiota and its short chain fatty acid metabolites in extremely and very preterm infants
Study SummaryAntibiotics are routinely prescribed to extremely and very premature infants as a pre-emptive and prophylactic treatment to reduce the risk of acute neonatal illness (i.e. necrotizing enterocolitis, NEC) associated with morbidity. To investigate the effects of antibiotic types, combinations, and duration on the preterm gut microbiome and metabolome, we analyzed the microbiome compositions of 123 stool samples collected at 3 timepoints (postnatal day 1, 28 and 56) from extremely- and very-low-birthweight infants treated with 14 different antibiotics spanning across 5 classes. Targeted metabolomics were performed on 47 samples available, allowing us to quantify 649 metabolites including amino acids, bile acids, fatty acids, and lipids. As a result, we found that antibiotics exerted the most profound disruptive impact on the gut microbiota, while antibiotics and breastfeeding highly influence the gut metabolome. Short chain fatty acids were reduced in both antibiotic-treated and NEC group. Finally, we revealed that cephalosporins negatively impact conjugated bile acids due to a positive correlation with bile salt hydrolase-producing Staphylococcus.
Institute
Seoul National University
Last NameKyeong-Seog
First NameKim
AddressJongno-Gu, South Korea
Email92kkim@gmail.com
Phone+8227408905
Submit Date2024-09-23
Raw Data AvailableYes
Raw Data File Type(s)d, wiff
Analysis Type DetailGC-MS/LC-MS
Release Date2024-10-22
Release Version1
Kim Kyeong-Seog Kim Kyeong-Seog
https://dx.doi.org/10.21228/M84C19
ftp://www.metabolomicsworkbench.org/Studies/ application/zip

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Factors:

Subject type: Human; Subject species: Homo sapiens (Factor headings shown in green)

mb_sample_id local_sample_id Group Antibiotics
SA387219NEC03_D11day No
SA387220PRE02_D11day No
SA387221PRE03_D11day No
SA387222PRE31_D11day No
SA387223PRE26_D11day No
SA387224PRE44_D11day Yes
SA387225PRE39_D11day Yes
SA387226PRE38_D11day Yes
SA387227PRE32_D11day Yes
SA387228PRE21_D11day Yes
SA387229PRE24_D11day Yes
SA387230PRE27_D11day Yes
SA387231NEC04_D11day Yes
SA387232NEC01_D11day Yes
SA387233PRE13_D11day Yes
SA387234PRE29_D11day Yes
SA387235PRE09_D11day Yes
SA387236PRE10_D11day Yes
SA387237PRE29_D2828day No
SA387238PRE39_D2828day No
SA387239PRE24_D2828day No
SA387240PRE30_D2828day No
SA387241PRE03_D2828day No
SA387242PRE02_D2828day No
SA387243PRE44_D2828day Yes
SA387244PRE38_D2828day Yes
SA387245NEC03_D2828day Yes
SA387246PRE32_D2828day Yes
SA387247PRE09_D2828day Yes
SA387248PRE05_D2828day Yes
SA387249PRE26_D2828day Yes
SA387250NEC01_D2828day Yes
SA387251NEC05_D2828day Yes
SA387252PRE21_D2828day Yes
SA387253NEC06_D2828day Yes
SA387254PRE27_D2828day Yes
SA387255PRE13_D5656day No
SA387256PRE38_D5656day No
SA387257PRE05_D5656day Yes
SA387258PRE27_D5656day Yes
SA387259NEC03_D5656day Yes
SA387260PRE31_D5656day Yes
SA387261PRE32_D5656day Yes
SA387262NEC05_D5656day Yes
SA387263PRE39_D5656day Yes
SA387264PRE44_D5656day Yes
SA387265PRE26_D5656day Yes
Showing results 1 to 47 of 47
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