Summary of Study ST003346
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 PR002080. The data can be accessed directly via it's Project DOI: 10.21228/M8RJ9N 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 | ST003346 |
| Study Title | Fast Targeted Metabolomics for Analyzing Metabolic Diversity of Bacterial Indole Derivatives - fecal samples |
| Study Type | MS quantitative analysis |
| Study Summary | We explored the metabolic diversity of indole derivatives as potential biomarkers for ME/CFS by analyzing fecal samples from patients and healthy controls using the fast-targeted metabolomics method. An AdaBoost-LOOCV model achieved moderate classification success. Our findings suggest that the local indole diversity of tryptophan degradation is a promising biomarker for differentiating bacterial strains and classifying ME/CFS samples. The fast-targeted metabolomics method and data analysis enable accurate and precise quantitative measurements of metabolic diversity in indole derivatives, facilitating the study of microbial contributions to ME/CFS and other immune-related conditions. |
| Institute | University of Connecticut |
| Department | Chemistry |
| Laboratory | Yao Lab |
| Last Name | Tian |
| First Name | Huidi |
| Address | 55 N. Eagleville Road, Unit 3060, Storrs CT 06269 |
| huidi.tian@uconn.edu | |
| Phone | 8606341143 |
| Submit Date | 2024-07-22 |
| Raw Data Available | Yes |
| Raw Data File Type(s) | mzML |
| Analysis Type Detail | LC-MS |
| Release Date | 2025-10-05 |
| Release Version | 1 |
Select appropriate tab below to view additional metadata details:
Project:
| Project ID: | PR002080 |
| Project DOI: | doi: 10.21228/M8RJ9N |
| Project Title: | Fast Targeted Metabolomics for Analyzing Metabolic Diversity of Bacterial Indole Derivatives |
| Project Type: | Bacteria supernatant |
| Project Summary: | Disruptions in microbial metabolite interactions due to gut microbiome dysbiosis and metabolomic shifts may contribute to Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) and other immune-related conditions. The aryl hydrocarbon receptor (AhR), activated upon binding various tryptophan metabolites, modulates host immune responses. This study investigates whether the metabolic diversity—the concentration distribution—of bacterial indole pathway metabolites can differentiate bacterial strains and classify ME/CFS samples. A fast-targeted liquid chromatography-parallel reaction monitoring method with a 4-minute cycle time was developed for large-scale analysis. This method revealed significant metabolic diversity in indole derivatives among B. uniformis strains cultured from human isolates. Principal component analysis identified two major components (PC1, 68.9%; PC2, 18.7%), accounting for 87.6% of the variance and distinguishing two distinct B. uniformis clusters. The metabolic diversity between clusters was particularly evident in the contributions of indole-3-acrylate and indole-3-aldehyde. We explored the metabolic diversity of indole derivatives as potential biomarkers for ME/CFS by analyzing fecal samples from patients and healthy controls using the fast-targeted metabolomics method. An AdaBoost-LOOCV model achieved moderate classification success. Our findings suggest that the local indole diversity of tryptophan degradation is a promising biomarker for differentiating bacterial strains and classifying ME/CFS samples. The fast-targeted metabolomics method and data analysis enable accurate and precise quantitative measurements of metabolic diversity in indole derivatives, facilitating the study of microbial contributions to ME/CFS and other immune-related conditions. |
| Institute: | University of Connecticut |
| Department: | Chemistry |
| Laboratory: | Yao Lab |
| Last Name: | Tian |
| First Name: | Huidi |
| Address: | 55 N. Eagleville Road, Unit 3060, Storrs CT 06269 |
| Email: | huidi.tian@uconn.edu |
| Phone: | 8606341143 |
| Funding Source: | NIH |
Subject:
| Subject ID: | SU003467 |
| Subject Type: | Human |
| Subject Species: | Homo sapiens |
| Taxonomy ID: | 9606 |
| Species Group: | Mammals |
Factors:
Subject type: Human; Subject species: Homo sapiens (Factor headings shown in green)
| mb_sample_id | local_sample_id | Condition |
|---|---|---|
| SA364989 | FECAL_D6_2 | Control |
| SA364990 | FECAL_D3_3 | Control |
| SA364991 | FECAL_D4_1 | Control |
| SA364992 | FECAL_D4_2 | Control |
| SA364993 | FECAL_D4_3 | Control |
| SA364994 | FECAL_D5_1 | Control |
| SA364995 | FECAL_D5_2 | Control |
| SA364996 | FECAL_D5_3 | Control |
| SA364997 | FECAL_D6_1 | Control |
| SA364998 | FECAL_D6_3 | Control |
| SA364999 | FECAL_D3_1 | Control |
| SA365000 | FECAL_D7_1 | Control |
| SA365001 | FECAL_D7_2 | Control |
| SA365002 | FECAL_D7_3 | Control |
| SA365003 | FECAL_D8_1 | Control |
| SA365004 | FECAL_D8_2 | Control |
| SA365005 | FECAL_D8_3 | Control |
| SA365006 | FECAL_D9_1 | Control |
| SA365007 | FECAL_D9_2 | Control |
| SA365008 | FECAL_D3_2 | Control |
| SA365009 | FECAL_D2_3 | Control |
| SA365010 | FECAL_D10_1 | Control |
| SA365011 | FECAL_C10_3 | Control |
| SA365012 | FECAL_C8_1 | Control |
| SA365013 | FECAL_C8_2 | Control |
| SA365014 | FECAL_C8_3 | Control |
| SA365015 | FECAL_C9_1 | Control |
| SA365016 | FECAL_C9_2 | Control |
| SA365017 | FECAL_C9_3 | Control |
| SA365018 | FECAL_C10_1 | Control |
| SA365019 | FECAL_C10_2 | Control |
| SA365020 | FECAL_C11_1 | Control |
| SA365021 | FECAL_D2_2 | Control |
| SA365022 | FECAL_C11_2 | Control |
| SA365023 | FECAL_C11_3 | Control |
| SA365024 | FECAL_C12_1 | Control |
| SA365025 | FECAL_C12_2 | Control |
| SA365026 | FECAL_C12_3 | Control |
| SA365027 | FECAL_D1_1 | Control |
| SA365028 | FECAL_D1_2 | Control |
| SA365029 | FECAL_D1_3 | Control |
| SA365030 | FECAL_D2_1 | Control |
| SA365031 | FECAL_D9_3 | Control |
| SA365032 | FECAL_D10_2 | Control |
| SA365033 | FECAL_C7_2 | Control |
| SA365034 | FECAL_E9_2 | Control |
| SA365035 | FECAL_E6_3 | Control |
| SA365036 | FECAL_E7_1 | Control |
| SA365037 | FECAL_E7_2 | Control |
| SA365038 | FECAL_E7_3 | Control |
| SA365039 | FECAL_E8_1 | Control |
| SA365040 | FECAL_E8_2 | Control |
| SA365041 | FECAL_E8_3 | Control |
| SA365042 | FECAL_E9_1 | Control |
| SA365043 | FECAL_E9_3 | Control |
| SA365044 | FECAL_E6_1 | Control |
| SA365045 | FECAL_E10_1 | Control |
| SA365046 | FECAL_E10_2 | Control |
| SA365047 | FECAL_E10_3 | Control |
| SA365048 | FECAL_E11_1 | Control |
| SA365049 | FECAL_E11_2 | Control |
| SA365050 | FECAL_E11_3 | Control |
| SA365051 | FECAL_E12_1 | Control |
| SA365052 | FECAL_E12_2 | Control |
| SA365053 | FECAL_E12_3 | Control |
| SA365054 | FECAL_E6_2 | Control |
| SA365055 | FECAL_E5_3 | Control |
| SA365056 | FECAL_D10_3 | Control |
| SA365057 | FECAL_E1_3 | Control |
| SA365058 | FECAL_D11_1 | Control |
| SA365059 | FECAL_D11_2 | Control |
| SA365060 | FECAL_D11_3 | Control |
| SA365061 | FECAL_D12_1 | Control |
| SA365062 | FECAL_D12_2 | Control |
| SA365063 | FECAL_D12_3 | Control |
| SA365064 | FECAL_E1_1 | Control |
| SA365065 | FECAL_E1_2 | Control |
| SA365066 | FECAL_E2_1 | Control |
| SA365067 | FECAL_E5_2 | Control |
| SA365068 | FECAL_E2_2 | Control |
| SA365069 | FECAL_E2_3 | Control |
| SA365070 | FECAL_E3_1 | Control |
| SA365071 | FECAL_E3_2 | Control |
| SA365072 | FECAL_E3_3 | Control |
| SA365073 | FECAL_E4_1 | Control |
| SA365074 | FECAL_E4_2 | Control |
| SA365075 | FECAL_E4_3 | Control |
| SA365076 | FECAL_E5_1 | Control |
| SA365077 | FECAL_C7_3 | Control |
| SA365078 | FECAL_C7_1 | Control |
| SA365079 | FECAL_A1_2 | MECFS |
| SA365080 | FECAL_A12_1 | MECFS |
| SA365081 | FECAL_A9_2 | MECFS |
| SA365082 | FECAL_A9_3 | MECFS |
| SA365083 | FECAL_A10_1 | MECFS |
| SA365084 | FECAL_A10_2 | MECFS |
| SA365085 | FECAL_A10_3 | MECFS |
| SA365086 | FECAL_A11_1 | MECFS |
| SA365087 | FECAL_A11_2 | MECFS |
| SA365088 | FECAL_A11_3 | MECFS |
Collection:
| Collection ID: | CO003460 |
| Collection Summary: | Fecal samples from 10 healthy cohorts and 10 ME/CFS patients were lyophilized overnight. Sixty 1.5 mL centrifuge tubes were weighed and labeled. Each sample was homogenized and approximately 20 mg was aliquoted into a centrifuge tube in triplicates. The tubes were weighed again to obtain the exact mass. Ice-cold 50% methanol was added to each tube in a ratio of 600 µL extraction solvent per 25 mg fecal sample. Approximately ten 2 mm zirconium beads were added to each tube, and the samples were homogenized for 10 minutes at 30 Hz. The resulting solutions were centrifuged at 12,000 g for 10 minutes. The supernatants were filtered with a 0.22 µm filter. The resulting solution was dried by Speedvac and reconstituted in 2% acetonitrile at five times the concentration for further analysis. |
| Sample Type: | Feces |
| Storage Conditions: | -80℃ |
Treatment:
| Treatment ID: | TR003476 |
| Treatment Summary: | No treatment. |
Sample Preparation:
| Sampleprep ID: | SP003474 |
| Sampleprep Summary: | The supernatants were processed by solid phase extraction and dried for LC-MS. Solid phase extraction in plate format: High-throughput reversed-phase SPE was performed using a Targa C18 (Higgins Analytical, The Nest Group) 96-well plate format. Each well was conditioned with 200 µL of methanol three times with centrifugation at 600 × g for 2 minutes, followed by equilibration with 200 µL of water (2 minutes at 800 × g) three times. The samples were loaded into each prepared well with centrifugation at 800 × g for 2 minutes. After loading, each well was washed with 200 µL of water five times. The sample was eluted with 200 µL of 80% acetonitrile in water (v/v), and the eluates were collected in a 96-deep well plate (800 × g for 2 minutes). The resulting solution was dried and reconstituted with 2% acetonitrile for further analysis. |
| Processing Storage Conditions: | 4℃ |
| Extract Storage: | -80℃ |
Chromatography:
| Chromatography ID: | CH004164 |
| Chromatography Summary: | Targeted quantitation of selected indole compounds was performed on a quadrupole orbitrap mass spectrometer (Exploris 480, Thermo Fisher Scientific) with an H-ESI ionization source in positive ion mode. The front-end separation utilized a reversed-phase column (CORTECS UPLC T3, 2.1 x 50 mm, 1.6 μm particle size, Waters). The autosampler temperature was maintained at 4.0 °C, and the column oven temperature was set at 40.0 °C. The sample injection volume was 5 µL. The mobile phase flow rate was 1 mL/min. Solvent A was 0.1% FA in water, and solvent B was 0.1% FA in MeCN. The gradient (% for Solvent B at runtime) was as follows: 1% from -1.5 to 0 minutes for equilibration, 1% from 0 to 0.2 minutes, 65% at 1.7 minutes, 90% from 1.8 to 2.2 minutes, and 1% from 2.3 to 2.5 minutes. |
| Instrument Name: | Thermo Vanquish |
| Column Name: | Waters CORTECS UPLC T3 (50 x 2.1mm, 1.6um) |
| Column Pressure: | 8000 psi |
| Column Temperature: | 40 |
| Flow Gradient: | 1% from -1.5 to 0 minutes for equilibration, 1% from 0 to 0.2 minutes, 65% at 1.7 minutes, 90% from 1.8 to 2.2 minutes, and 1% from 2.3 to 2.5 minutes. |
| Flow Rate: | 1 mL/min |
| Solvent A: | 100% water; 0.1% formic acid |
| Solvent B: | 100% acetonitrile; 0.1% formic acid |
| Chromatography Type: | Reversed phase |
Analysis:
| Analysis ID: | AN005481 |
| Laboratory Name: | Yao Lab |
| Analysis Type: | MS |
| Analysis Protocol File: | HT_Targeted_MS_method.pdf |
| Operator Name: | Huidi Tian |
| Detector Type: | Orbitrap |
| Chromatography ID: | CH004164 |
| Num Factors: | 2 |
| Num Metabolites: | 5 |
| Units: | uM |