Summary of Study ST003110
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 PR001932. The data can be accessed directly via it's Project DOI: 10.21228/M80B0B 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 | ST003110 |
| Study Title | Influence of Lifestyle Factors on Epigenetic and Proteomic Biomarkers: A Cross-Sectional Comparison |
| Study Type | Cross-sectional Study |
| Study Summary | This cross-sectional study investigated differences in the plasma metabolome in two groups of adults that were of similar age but varied markedly in body composition and dietary and physical activity patterns. Study participants included 52 adults in the lifestyle group (LIFE) (28 males, 24 females) and 52 in the control group (CON) (27 males, 25 females). The results using an extensive untargeted UPLC-HRMS analysis with 10,535 metabolite peaks identified 83 metabolites and 16 metabolic pathways that differentiated LIFE and CON groups. A novel metabolite signature of positive lifestyle habits emerged from this analysis highlighted by lower plasma levels of numerous bile acids, an amino acid profile characterized by higher histidine and lower glutamic acid, glutamine, β-alanine, phenylalanine, tyrosine, and proline, an elevated vitamin D status, higher levels of beneficial fatty acids and gut microbiome catabolism metabolites from plant substrates, and reduced levels of N-glycan degradation metabolites and environmental contaminants. This study established that the plasma metabolome is strongly associated with body composition and lifestyle habits. The robust lifestyle metabolite signature identified in this study is consistent with an improved life expectancy and a reduced risk for chronic disease. |
| Institute | Appalachian State University |
| Department | Department of Biology |
| Laboratory | Human Performance Laboratory |
| Last Name | Nieman |
| First Name | David |
| Address | North Carolina Research Campus, 600 Laureate Way, Kannapolis, NC 28081 |
| niemandc@appstate.edu | |
| Phone | (828) 773-0056 |
| Submit Date | 2024-02-16 |
| Total Subjects | 104 |
| Raw Data Available | Yes |
| Raw Data File Type(s) | mzML, raw(Thermo) |
| Analysis Type Detail | LC-MS |
| Release Date | 2025-02-28 |
| Release Version | 1 |
Select appropriate tab below to view additional metadata details:
Project:
| Project ID: | PR001932 |
| Project DOI: | doi: 10.21228/M80B0B |
| Project Title: | Untargeted Metabolomics Reveals Signatures of a Healthy Lifestyle |
| Project Type: | C18 Reversed-Phase Broad Spectrum Metabolomics |
| Project Summary: | This cross-sectional study investigated differences in the plasma metabolome in two groups of adults that were of similar age but varied markedly in body composition and dietary and physical activity patterns. Study participants included 52 adults in the lifestyle group (LIFE) (28 males, 24 females) and 52 in the control group (CON) (27 males, 25 females). The results using an extensive untargeted UPLC-HRMS analysis with 10,535 metabolite peaks identified 83 metabolites and 16 metabolic pathways that differentiated LIFE and CON groups. A novel metabolite signature of positive lifestyle habits emerged from this analysis highlighted by lower plasma levels of numerous bile acids, an amino acid profile characterized by higher histidine and lower glutamic acid, glutamine, β-alanine, phenylalanine, tyrosine, and proline, an elevated vitamin D status, higher levels of beneficial fatty acids and gut microbiome catabolism metabolites from plant substrates, and reduced levels of N-glycan degradation metabolites and environmental contaminants. This study established that the plasma metabolome is strongly associated with body composition and lifestyle habits. The robust lifestyle metabolite signature identified in this study is consistent with an improved life expectancy and a reduced risk for chronic disease. |
| Institute: | Metabolomics and Exposome Laboratory at UNC Nutrition Research Institute |
| Department: | Untargeted Analysis |
| Laboratory: | Sumner Lab |
| Last Name: | Rushing |
| First Name: | Blake |
| Address: | Nutrition Research Institute , University of North Carolina at Chapel Hill, 500 Laureate Way Kannapolis, NC 28081 |
| Email: | blake_rushing@unc.edu |
| Phone: | (704) 250-5000 |
Subject:
| Subject ID: | SU003225 |
| Subject Type: | Human |
| Subject Species: | Homo sapiens |
| Taxonomy ID: | 9606 |
| Gender: | Male and female |
| Species Group: | Mammals |
Factors:
Subject type: Human; Subject species: Homo sapiens (Factor headings shown in green)
| mb_sample_id | local_sample_id | Sample source | Phenotype | Sample type |
|---|---|---|---|---|
| SA337144 | S_60 | Blood | Control | Study sample |
| SA337145 | S_58 | Blood | Control | Study sample |
| SA337146 | S_56 | Blood | Control | Study sample |
| SA337147 | S_63 | Blood | Control | Study sample |
| SA337148 | S_69 | Blood | Control | Study sample |
| SA337149 | S_76 | Blood | Control | Study sample |
| SA337150 | S_73 | Blood | Control | Study sample |
| SA337151 | S_54 | Blood | Control | Study sample |
| SA337152 | S_65 | Blood | Control | Study sample |
| SA337153 | S_52 | Blood | Control | Study sample |
| SA337154 | S_40 | Blood | Control | Study sample |
| SA337155 | S_37 | Blood | Control | Study sample |
| SA337156 | S_35 | Blood | Control | Study sample |
| SA337157 | S_43 | Blood | Control | Study sample |
| SA337158 | S_47 | Blood | Control | Study sample |
| SA337159 | S_50 | Blood | Control | Study sample |
| SA337160 | S_49 | Blood | Control | Study sample |
| SA337161 | S_77 | Blood | Control | Study sample |
| SA337162 | S_79 | Blood | Control | Study sample |
| SA337163 | S_97 | Blood | Control | Study sample |
| SA337164 | S_94 | Blood | Control | Study sample |
| SA337165 | S_93 | Blood | Control | Study sample |
| SA337166 | S_100 | Blood | Control | Study sample |
| SA337167 | S_101 | Blood | Control | Study sample |
| SA337168 | S_108 | Blood | Control | Study sample |
| SA337169 | S_107 | Blood | Control | Study sample |
| SA337170 | S_102 | Blood | Control | Study sample |
| SA337171 | S_90 | Blood | Control | Study sample |
| SA337172 | S_89 | Blood | Control | Study sample |
| SA337173 | S_81 | Blood | Control | Study sample |
| SA337174 | S_80 | Blood | Control | Study sample |
| SA337175 | S_33 | Blood | Control | Study sample |
| SA337176 | S_82 | Blood | Control | Study sample |
| SA337177 | S_84 | Blood | Control | Study sample |
| SA337178 | S_87 | Blood | Control | Study sample |
| SA337179 | S_86 | Blood | Control | Study sample |
| SA337180 | S_78 | Blood | Control | Study sample |
| SA337181 | S_64 | Blood | Control | Study sample |
| SA337182 | S_32 | Blood | Control | Study sample |
| SA337183 | S_22 | Blood | Control | Study sample |
| SA337184 | S_2 | Blood | Control | Study sample |
| SA337185 | S_1 | Blood | Control | Study sample |
| SA337186 | S_19 | Blood | Control | Study sample |
| SA337187 | S_18 | Blood | Control | Study sample |
| SA337188 | S_15 | Blood | Control | Study sample |
| SA337189 | S_11 | Blood | Control | Study sample |
| SA337190 | S_17 | Blood | Control | Study sample |
| SA337191 | S_10 | Blood | Control | Study sample |
| SA337192 | S_27 | Blood | Control | Study sample |
| SA337193 | S_3 | Blood | Control | Study sample |
| SA337194 | S_30 | Blood | Control | Study sample |
| SA337195 | S_28 | Blood | Control | Study sample |
| SA337196 | S_106 | Blood | Life | Study sample |
| SA337197 | S_8 | Blood | Life | Study sample |
| SA337198 | S_105 | Blood | Life | Study sample |
| SA337199 | S_109 | Blood | Life | Study sample |
| SA337200 | S_9 | Blood | Life | Study sample |
| SA337201 | S_12 | Blood | Life | Study sample |
| SA337202 | S_74 | Blood | Life | Study sample |
| SA337203 | S_75 | Blood | Life | Study sample |
| SA337204 | S_110 | Blood | Life | Study sample |
| SA337205 | S_13 | Blood | Life | Study sample |
| SA337206 | S_104 | Blood | Life | Study sample |
| SA337207 | S_7 | Blood | Life | Study sample |
| SA337208 | S_88 | Blood | Life | Study sample |
| SA337209 | S_98 | Blood | Life | Study sample |
| SA337210 | S_91 | Blood | Life | Study sample |
| SA337211 | S_95 | Blood | Life | Study sample |
| SA337212 | S_14 | Blood | Life | Study sample |
| SA337213 | S_5 | Blood | Life | Study sample |
| SA337214 | S_103 | Blood | Life | Study sample |
| SA337215 | S_99 | Blood | Life | Study sample |
| SA337216 | S_6 | Blood | Life | Study sample |
| SA337217 | S_85 | Blood | Life | Study sample |
| SA337218 | S_92 | Blood | Life | Study sample |
| SA337219 | S_83 | Blood | Life | Study sample |
| SA337220 | S_44 | Blood | Life | Study sample |
| SA337221 | S_42 | Blood | Life | Study sample |
| SA337222 | S_46 | Blood | Life | Study sample |
| SA337223 | S_48 | Blood | Life | Study sample |
| SA337224 | S_25 | Blood | Life | Study sample |
| SA337225 | S_26 | Blood | Life | Study sample |
| SA337226 | S_41 | Blood | Life | Study sample |
| SA337227 | S_72 | Blood | Life | Study sample |
| SA337228 | S_31 | Blood | Life | Study sample |
| SA337229 | S_34 | Blood | Life | Study sample |
| SA337230 | S_36 | Blood | Life | Study sample |
| SA337231 | S_38 | Blood | Life | Study sample |
| SA337232 | S_39 | Blood | Life | Study sample |
| SA337233 | S_51 | Blood | Life | Study sample |
| SA337234 | S_29 | Blood | Life | Study sample |
| SA337235 | S_61 | Blood | Life | Study sample |
| SA337236 | S_70 | Blood | Life | Study sample |
| SA337237 | S_62 | Blood | Life | Study sample |
| SA337238 | S_68 | Blood | Life | Study sample |
| SA337239 | S_67 | Blood | Life | Study sample |
| SA337240 | S_66 | Blood | Life | Study sample |
| SA337241 | S_59 | Blood | Life | Study sample |
| SA337242 | S_23 | Blood | Life | Study sample |
| SA337243 | S_53 | Blood | Life | Study sample |
Collection:
| Collection ID: | CO003218 |
| Collection Summary: | N/A |
| Sample Type: | Blood (plasma) |
| Storage Conditions: | -80℃ |
Treatment:
| Treatment ID: | TR003234 |
| Treatment Summary: | N/A |
Sample Preparation:
| Sampleprep ID: | SP003231 |
| Sampleprep Summary: | Study samples were shipped from Human Performance Laboratory (Nieman Laboratory) at Appalachan State University to the UNC NRI Metabolomics and Exposome Laboratory (MEL) on dry ice. The MEL thawed and transferred 50 µL of the study samples to a new set of tubes and used them for the analysis. An additional 10 µL was taken from the original study sample and transferred to another tube to make the total study pool for this project, and then distributed with 50 µL per aliquot, used as quality control study pools (QCSP) throughout the whole analysis. All sample aliquots (50 µL each) and QC study pools (50 µL each) were stored at -80° C until the day of sample preparation. NIST plasma (SRM 1950) reference material (50 µL each) were provided by the MEL. LC-MS grade water (50 µL) was used as blanks. All samples were thawed at 4°C overnight before the preparation. Samples, including study samples, QCSP samples, NIST reference plasma, and blanks were mixed with 400 µL methanol containing 500 ng/mL tryptophan-d5 as internal standard and vortexed by a multiple tube vortex mixer for 2 min at 5000 rpm at room temperature. All samples were centrifuged at 16,000 rcf for 10 min at 4°C. The supernatant (350 µL) was transferred into a pre-labeled 2.0 mL Lo-bind Eppendorf tube, dried by a SpeedVac overnight, and stored at -80° C. For immediate analysis, 100 µL of water-methanol solution (95:5, v/v) was used to reconstitute the dried extracts. Samples were thoroughly mixed on a multiple tube vortex mixer for 10 min at 5000 rpm at room temperature and then centrifuged at 4°C for 10 min at 16,000 rcf. The supernatant was transferred to pre-labeled autosampler vials for data acquisition by LC-MS. |
| Processing Storage Conditions: | 4℃ |
| Extraction Method: | Vortex with methanol containing 500ng/ml tryptophan-d5 as internal standard |
| Extract Storage: | -80℃ |
| Sample Resuspension: | Water-Methanol (95:5, v/v) |
| Sample Spiking: | Tryptophan-d5 stock solution at 500 ng/mL |
Chromatography:
| Chromatography ID: | CH003849 |
| Chromatography Summary: | Reversed phase |
| Instrument Name: | Thermo Vanquish |
| Column Name: | Waters ACQUITY UPLC HSS T3 (100 x 2.1mm,1.8um) |
| Column Pressure: | 6000-10000 psi |
| Column Temperature: | 50 ℃ |
| Flow Gradient: | Time(min) Flow Rate %A %B Curve 1. 0 0.4 99.0 1.0 5 2. 1.00 0.4 99.0 1.0 5 3. 16.00 0.4 1.0 99.0 5 4. 19.00 0.4 1.0 99.0 5 5. 19.50 0.4 99.0 1.0 5 6. 22.00 0.4 99.0 1.0 5 |
| Flow Rate: | 0.4 mL/min |
| Injection Temperature: | 8 ℃ |
| Internal Standard: | Tryptophan-d5 |
| Solvent A: | 100% water; 0.1% formic acid |
| Solvent B: | 100% methanol; 0.1% formic acid |
| Analytical Time: | 22 min |
| Weak Wash Solvent Name: | 10% methanol/90% water; 0.1% formic acid |
| Strong Wash Solvent Name: | 75% 2-Propanol/25% Water; 0.1% formic acid |
| Chromatography Type: | Reversed phase |
Analysis:
| Analysis ID: | AN005093 |
| Analysis Type: | MS |
| Acquisition Date: | 11/09/2211/11/2022 |
| Software Version: | Xcalibur 4.1.31.9 |
| Detector Type: | Orbitrap |
| Data Format: | Profile |
| Chromatography ID: | CH003849 |
| Has Mz: | 1 |
| Has Rt: | 1 |
| Rt Units: | Minutes |
| Results File: | ST003110_AN005093_Results.txt |
| Units: | Normalized Intensity |
