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.
| Study ID | ST003527 |
| Study Title | Combining antibiotics alters the longitudinal maturation of gut microbiota and its short chain fatty acid metabolites in extremely and very preterm infants |
| Study Summary | Antibiotics 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 Name | Kyeong-Seog |
| First Name | Kim |
| Address | Jongno-Gu, South Korea |
| 92kkim@gmail.com | |
| Phone | +8227408905 |
| Submit Date | 2024-09-23 |
| Raw Data Available | Yes |
| Raw Data File Type(s) | d, wiff |
| Analysis Type Detail | GC-MS/LC-MS |
| Release Date | 2024-10-22 |
| Release Version | 1 |
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Subject:
| Subject ID: | SU003656 |
| Subject Type: | Human |
| Subject Species: | Homo sapiens |
| Taxonomy ID: | 9606 |
| Species Group: | Mammals |
