Summary of Study ST001862
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 PR001175. The data can be accessed directly via it's Project DOI: 10.21228/M8TM5F 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 | ST001862 |
| Study Title | Cross-feeding between intestinal pathobionts promotes their overgrowth during undernutrition |
| Study Summary | Child undernutrition is a global health issue associated with a high burden of infectious disease. Undernourished children display an overabundance of intestinal pathogens and pathobionts, and these bacteria induce enteric dysfunction in undernourished mice; however, the cause of their overgrowth remains poorly defined. Here, we show that disease-inducing human isolates of Enterobacteriaceae and Bacteroidales spp. are capable of multi-species symbiotic cross-feeding, resulting in synergistic growth of a mixed community in vitro. Growth synergy occurs uniquely under malnourished conditions limited in protein and iron: in this context, Bacteroidales spp. liberate diet- and mucin-derived sugars and Enterobacteriaceae spp. enhance the bioavailability of iron. Analysis of human microbiota datasets reveals that Bacteroidaceae and Enterobacteriaceae are strongly correlated in undernourished children, but not in adequately nourished children, consistent with a diet-dependent growth synergy in the human gut. Together these data suggest that dietary cross-feeding fuels the overgrowth of pathobionts in undernutrition. |
| Institute | University of British Columbia |
| Department | Michael Smith Laboratories |
| Last Name | Huus |
| First Name | Kelsey |
| Address | 3125 East Mall |
| khuus@msl.ubc.ca | |
| Phone | +1-604-822-2210 |
| Submit Date | 2021-07-11 |
| Raw Data Available | Yes |
| Raw Data File Type(s) | d |
| Analysis Type Detail | LC-MS |
| Release Date | 2021-11-06 |
| Release Version | 1 |
Select appropriate tab below to view additional metadata details:
Combined analysis:
| Analysis ID | AN003018 | AN003019 |
|---|---|---|
| Analysis type | MS | MS |
| Chromatography type | Normal phase | Reversed phase |
| Chromatography system | Agilent 1290 | Agilent 1200 |
| Column | Phenomenex PFP UPLC (2.1 x 150mm,1.7um) | Agilent Zorbax 300 C18 (250x4.6mm) |
| MS Type | ESI | ESI |
| MS instrument type | Triple quadrupole | Triple quadrupole |
| MS instrument name | Agilent 6495 QQQ | Agilent 6460 QQQ |
| Ion Mode | NEGATIVE | POSITIVE |
| Units | µM | µM |
MS:
| MS ID: | MS002807 |
| Analysis ID: | AN003018 |
| Instrument Name: | Agilent 6495 QQQ |
| Instrument Type: | Triple quadrupole |
| MS Type: | ESI |
| MS Comments: | The raw data was acquired using the Agilent MassHunter® 7.0 software. After data acquisitions, linearly regressed calibration curves of individual compounds were constructed with the analyte-to-internal standard peak area ratios measured from injection of the calibration curves. For those compounds without their isotope-labelling analogues as the internal standards, 13C6-fructose was used a common internal standard. Concentrations of the analytes were calculated by interpolating the calibration curves of individual compounds with their analyte-to-internal standard peak area ratios measured from injection of the sample solutions. |
| Ion Mode: | NEGATIVE |
| MS ID: | MS002808 |
| Analysis ID: | AN003019 |
| Instrument Name: | Agilent 6460 QQQ |
| Instrument Type: | Triple quadrupole |
| MS Type: | ESI |
| MS Comments: | A collision energy of 10V was used for multiple reaction monitoring (MRM), and LC-MS/MS data were analysed by Mass Hunter Qualitative Analysis B.06.00 software (Agilent Technologies). The identification and quantification of the SCFAs were carried out based on the retention time and mass fragmentation pattern comparing with standards. Six-point calibration curves made by peak area vs concentration of the pure standards were used to quantify the different SCFA. The linearity of the curves was determined by the coefficient of determination (R2), being higher than 0.99 for all standards. Concentrations of the SCFAs were calculated by interpolating the calibration curves of individual compounds. |
| Ion Mode: | POSITIVE |
