Summary of Study ST003474
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 PR002133. The data can be accessed directly via it's Project DOI: 10.21228/M8WZ5H 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 | ST003474 |
| Study Title | Impact of Cattle Feeding Systems on Beef and Human Postprandial Metabolomics – A Randomized Clinical Trial |
| Study Summary | Cattle feeding systems may have health implications for consumers of beef products. Organic grass-fed (GRA) and conventional (CON) cattle feeding systems may result in beef products with differing metabolite profiles, and therefore could impact the postprandial metabolomic response of consumers. This study aims to measure whole beef metabolomics and postprandial metabolomic response of consumers between GRA and CON beef to elucidate potential health implications. This study followed a double-blind, crossover design with healthy male and female subjects (n=10). Serum samples were taken at fasting (0) and postprandially for four hours after consumption of a steak from each condition. Untargeted metabolomic analysis of whole beef and human serum samples utilized LC/MS. Multivariate and pathway enrichment analysis in MetaboAnalyst was used to investigate metabolite and biochemical pathways that distinguished CON and GRA. Cattle feeding systems impacted both postprandial and whole beef steak metabolomic profiles. Metabolites that contributed to this variation included carnitine species (Proionylcarnitine), fatty acids, amino acids (L-Valine) and Calamendiol. These metabolites have been associated with oxidative stress, inflammation, and cardiovascular health. Functional pathway enrichment analysis revealed numerous amino acid degradation pathways, especially branched chain amino acids, and fatty acid degradation that changed throughout the postprandial time course. These findings suggest that CON and GRA cattle feeding systems differentially impact whole beef metabolomics, as well as consumer postprandial metabolic responses and the associated health implications. |
| Institute | Montana State University |
| Last Name | Cooper |
| First Name | GWendolyn |
| Address | Culbertson HAll, 100 |
| coopergwen823@gmail.com | |
| Phone | 9079037662 |
| Submit Date | 2024-08-29 |
| Raw Data Available | Yes |
| Raw Data File Type(s) | mzML |
| Analysis Type Detail | LC-MS |
| Release Date | 2024-09-27 |
| Release Version | 1 |
Select appropriate tab below to view additional metadata details:
Project:
| Project ID: | PR002133 |
| Project DOI: | doi: 10.21228/M8WZ5H |
| Project Title: | Impact of Cattle Feeding Systems on Beef and Human Post-prandial Metabolomics – A Randomized Clinical Trial |
| Project Summary: | Cattle feeding systems may have health implications for consumers of beef products. Organic grass-fed (GRA) and conventional (CON) cattle feeding systems may result in beef products with differing metabolite profiles, and therefore could impact the postprandial metabolomic response of consumers. This study aims to measure whole beef metabolomics and postprandial metabolomic response of consumers between GRA and CON beef to elucidate potential health implications. This study followed a double-blind, crossover design with healthy male and female subjects (n=10). Serum samples were taken at fasting (0) and postprandially for four hours after consumption of a steak from each condition. Untargeted metabolomic analysis of whole beef and human serum samples utilized LC/MS. Multivariate and pathway enrichment analysis in MetaboAnalyst was used to investigate metabolite and biochemical pathways that distinguished CON and GRA. Cattle feeding systems impacted both postprandial and whole beef steak metabolomic profiles. Metabolites that contributed to this variation included carnitine species (Proionylcarnitine), fatty acids, amino acids (L-Valine) and Calamendiol. These metabolites have been associated with oxidative stress, inflammation, and cardiovascular health. Functional pathway enrichment analysis revealed numerous amino acid degradation pathways, especially branched chain amino acids, and fatty acid degradation that changed throughout the postprandial time course. These findings suggest that CON and GRA cattle feeding systems differentially impact whole beef metabolomics, as well as consumer postprandial metabolic responses and the associated health implications. |
| Institute: | Montana State University |
| Last Name: | Cooper |
| First Name: | Gwendolyn |
| Address: | Culbertson Hall 100, Bozeman, Montana, 59717, USA |
| Email: | coopergwen823@gmail.com |
| Phone: | 9079037662 |
Subject:
| Subject ID: | SU003602 |
| 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 | Time point |
|---|---|---|---|
| SA383463 | M9B_0 | CON | 0 |
| SA383464 | M11B_0 | CON | 0 |
| SA383465 | M14B_0 | CON | 0 |
| SA383466 | M4B_0 | CON | 0 |
| SA383467 | M1B_0 | CON | 0 |
| SA383468 | M15B_0 | CON | 0 |
| SA383469 | M13B_0 | CON | 0 |
| SA383470 | M5B_0 | CON | 0 |
| SA383471 | M10B_0 | CON | 0 |
| SA383472 | M8B_0 | CON | 0 |
| SA383453 | M8B_0.5 | CON | 0.5 |
| SA383454 | M13B_0.5 | CON | 0.5 |
| SA383455 | M15B_0.5 | CON | 0.5 |
| SA383456 | M11B_0.5 | CON | 0.5 |
| SA383457 | M1B_0.5 | CON | 0.5 |
| SA383458 | M10B_0.5 | CON | 0.5 |
| SA383459 | M4B_0.5 | CON | 0.5 |
| SA383460 | M5B_0.5 | CON | 0.5 |
| SA383461 | M14B_0.5 | CON | 0.5 |
| SA383462 | M9B_0.5 | CON | 0.5 |
| SA383483 | M14B_1 | CON | 1 |
| SA383484 | M4B_1 | CON | 1 |
| SA383485 | M5B_1 | CON | 1 |
| SA383486 | M15B_1 | CON | 1 |
| SA383487 | M1B_1 | CON | 1 |
| SA383488 | M13B_1 | CON | 1 |
| SA383489 | M8B_1 | CON | 1 |
| SA383490 | M9B_1 | CON | 1 |
| SA383491 | M10B_1 | CON | 1 |
| SA383492 | M11B_1 | CON | 1 |
| SA383473 | M1B_1.5 | CON | 1.5 |
| SA383474 | M4B_1.5 | CON | 1.5 |
| SA383475 | M10B_1.5 | CON | 1.5 |
| SA383476 | M11B_1.5 | CON | 1.5 |
| SA383477 | M13B_1.5 | CON | 1.5 |
| SA383478 | M5B_1.5 | CON | 1.5 |
| SA383479 | M15B_1.5 | CON | 1.5 |
| SA383480 | M14B_1.5 | CON | 1.5 |
| SA383481 | M9B_1.5 | CON | 1.5 |
| SA383482 | M8B_1.5 | CON | 1.5 |
| SA383503 | M11B_2 | CON | 2 |
| SA383504 | M15B_2 | CON | 2 |
| SA383505 | M13B_2 | CON | 2 |
| SA383506 | M14B_2 | CON | 2 |
| SA383507 | M1B_2 | CON | 2 |
| SA383508 | M10B_2 | CON | 2 |
| SA383509 | M8B_2 | CON | 2 |
| SA383510 | M5B_2 | CON | 2 |
| SA383511 | M9B_2 | CON | 2 |
| SA383512 | M4B_2 | CON | 2 |
| SA383493 | M10B_2.5 | CON | 2.5 |
| SA383494 | M15B_2.5 | CON | 2.5 |
| SA383495 | M4B_2.5 | CON | 2.5 |
| SA383496 | M1B_2.5 | CON | 2.5 |
| SA383497 | M11B_2.5 | CON | 2.5 |
| SA383498 | M5B_2.5 | CON | 2.5 |
| SA383499 | M13B_2.5 | CON | 2.5 |
| SA383500 | M14B_2.5 | CON | 2.5 |
| SA383501 | M8B_2.5 | CON | 2.5 |
| SA383502 | M9B_2.5 | CON | 2.5 |
| SA383523 | M11B_3 | CON | 3 |
| SA383524 | M1B_3 | CON | 3 |
| SA383525 | M10B_3 | CON | 3 |
| SA383526 | M4B_3 | CON | 3 |
| SA383527 | M9B_3 | CON | 3 |
| SA383528 | M14B_3 | CON | 3 |
| SA383529 | M8B_3 | CON | 3 |
| SA383530 | M13B_3 | CON | 3 |
| SA383531 | M15B_3 | CON | 3 |
| SA383532 | M5B_3 | CON | 3 |
| SA383513 | M13B_3.5 | CON | 3.5 |
| SA383514 | M4B_3.5 | CON | 3.5 |
| SA383515 | M14B_3.5 | CON | 3.5 |
| SA383516 | M15B_3.5 | CON | 3.5 |
| SA383517 | M9B_3.5 | CON | 3.5 |
| SA383518 | M5B_3.5 | CON | 3.5 |
| SA383519 | M1B_3.5 | CON | 3.5 |
| SA383520 | M10B_3.5 | CON | 3.5 |
| SA383521 | M11B_3.5 | CON | 3.5 |
| SA383522 | M8B_3.5 | CON | 3.5 |
| SA383533 | M5B_4 | CON | 4 |
| SA383534 | M13B_4 | CON | 4 |
| SA383535 | M15B_4 | CON | 4 |
| SA383536 | M4B_4 | CON | 4 |
| SA383537 | M9B_4 | CON | 4 |
| SA383538 | M14B_4 | CON | 4 |
| SA383539 | M1B_4 | CON | 4 |
| SA383540 | M11B_4 | CON | 4 |
| SA383541 | M10B_4 | CON | 4 |
| SA383542 | M8B_4 | CON | 4 |
| SA383543 | Batch1_POOL_DDA_without | GRA+CON | NA |
| SA383544 | Batch1_POOL_DDA_with | GRA+CON | NA |
| SA383545 | Batch4_POOL_DDA_without | GRA+CON | NA |
| SA383546 | Batch3_POOL_MSE | GRA+CON | NA |
| SA383547 | Batch1_POOL_MSE | GRA+CON | NA |
| SA383548 | Batch2_POOL_DDA_with | GRA+CON | NA |
| SA383549 | Batch2_POOL_DDA_without | GRA+CON | NA |
| SA383550 | Batch4_POOL_MSE | GRA+CON | NA |
| SA383551 | Batch2_POOL_MSE | GRA+CON | NA |
| SA383552 | Batch4_POOL_DDA_with | GRA+CON | NA |
Collection:
| Collection ID: | CO003595 |
| Collection Summary: | During visit 1 of the study, the informed consent was reviewed verbally in-person and informed consent was obtained from all participants prior to their participation. All participants within the study consumed both a grass-fed and grain-fed steak either on visit 2 or visit 3 as this is a crossover study. Participants were instructed not to consume any red meat beginning 72 hours before visit 2 through the completion of visit 3, and to avoid fatty fish the day before visit 2 and 3. The diet the day before visit 2 was then replicated by participants before visit 3 to improve comparability. Prior to visits 2 and 3 participants fasted for 12 hours and avoided strenuous activity or the consumption of alcohol for 24 hours. An intravenous catheter was inserted in the antecubital vein upon arrival by a phlebotomist or medical doctor. Blood samples were collected into plasma separating vacutainer tubes containing heparin (BD Vacutainer, Frankline Lakes, NJ, USA) after a 3 mL waste withdrawal followed by a sterile saline flush. The fasting blood sample was taken 15 minutes after catheter insertion. Postprandial blood samples were collected every 30 minutes for 4 hours beginning 30 minutes after participant began eating the study steak. Ad libitum black tea was offered to participants to accompany the steak. Blood markers glucose (GLU), and triglycerides (TG) were measured at fasting and hourly timepoints using whole blood collected in a sodium heparin tubes on a Picollo Xpress Chemistry Analyzer lipid panel (Abaxis, Union City, CA, USA). Samples were allowed to clot for 15 min prior to centrifugation (1200RPM, 15 minutes) to separate serum. The plasma was then aliquoted and frozen at -80°C for future analysis. |
| Sample Type: | Serum |
Treatment:
| Treatment ID: | TR003611 |
| Treatment Summary: | Participants were instructed not to consume any red meat beginning 72 hours before visit 2 through the completion of visit 3, and to avoid fatty fish the day before visit 2 and 3. The diet the day before visit 2 was then replicated by participants before visit 3 to improve comparability. Prior to visits 2 and 3 participants fasted for 12 hours and avoided strenuous activity or the consumption of alcohol for 24 hours. Organic, grass-fed beef strip loin was sourced from B Bar Ranch Big Timber, MT and conventionally fed beef choice strip loin was sourced from a local purveyor. All steaks were cut from the longissimus lumborum muscle and matched for marbling. Two cows per condition were used to source strip loin cuts. Steaks were vacuum sealed and stored at -20ºC until needed for participants. All steaks were removed from the freezer and thawed in a refrigerator between 24-48 hours before the planned time of consumption. An uncooked sample of beef weighing between 2-5 grams was collected for future metabolic analysis. Pre-cooking weight of the raw steak was recorded. Steaks were cooked on a clamshell grill with a thermometer (ThermoWorks THS-313-158 probe with Therma Waterproof THS-232-101, American Fork, UT, USA) inserted into the thickest part of the meat until the thermometer read 70ºC. A cooked sample of beef weighing 2-5 grams was collected for future metabolic analysis. Weight was recorded immediately after taking off the grill. The steak was then wrapped in foil and rested for 5 minutes. After 5 minutes of rest, the cooked steak was cut to 170.010 grams and served to participants. |
Sample Preparation:
| Sampleprep ID: | SP003609 |
| Sampleprep Summary: | To extract serum metabolites and precipitate proteins, 100uL of serum was added to 400uL of cold acetone. Samples were then placed in the -80°C overnight. Proteins and any other remaining macromolecules were then pelleted via centrifugation at 16,100 x g for 15 minutes at 4°C. Supernatants containing metabolites were then collected and dried down via vacuum concentration. Samples were extracted in batches (1-4). Pooled samples from each batch were analyzed via data dependent acquisition (DDA with), data independent acquisition (DDA without) and MSE (tandem MS) to improve identifications of metabolites. All samples were stored at -80°C until subsequent mass spectrometry analysis. |
Chromatography:
| Chromatography ID: | CH004330 |
| Instrument Name: | Waters Acquity I-Class |
| Column Name: | Waters ACQUITY UPLC BEH HILIC (150 x 2.1mm,1.7um) |
| Column Temperature: | 50 |
| Flow Gradient: | 94% B for 2min; 94% B until 8.10min; 50% B until 9.0min; 94% B until 12min, Hold 94% B until 15min |
| Flow Rate: | 0.400mL/min |
| Solvent A: | 95% water/5% acetonitrile; 0.1% formic acid |
| Solvent B: | 5% acetonitrile/95% water; 0.1% formic acid |
| Chromatography Type: | HILIC |
Analysis:
| Analysis ID: | AN005709 |
| Analysis Type: | MS |
| Chromatography ID: | CH004330 |
| Has Mz: | 1 |
| Has Rt: | 1 |
| Rt Units: | Minutes |
| Results File: | ST003474_AN005709_Results.txt |
| Units: | area |