Summary of Study ST004279
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 PR001984. The data can be accessed directly via it's Project DOI: 10.21228/M88J0W 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 | ST004279 |
| Study Title | Metabolic aging in human pancreas |
| Study Summary | To determine whether age-associated metabolites identified in our metabolic atlas of mouse aging could be validated in human tissue, we collected human pancreas samples from donors at the Gift of Life Michigan Donor Care Center. The samples we acquired included pancreases from males and females spanning a broad age range allowing us to investigate how age and sex affect pancreas metabolism. We used a targeted ms/ms approach to accurately identify 96 metabolites across the data set. We found that hydroxyproline, which decreases with age in mouse pancreases, also decreases with age in human pancreases. |
| Institute | University of Southern California |
| Department | Keck School of Medicine |
| Laboratory | Mullen Lab |
| Last Name | Pilley |
| First Name | Steven |
| Address | 1501 San Pablo St., Los Angeles, CA, 90033, USA |
| pilley@usc.edu | |
| Phone | +13234427555 |
| Submit Date | 2025-08-25 |
| Num Groups | 1 |
| Total Subjects | 34 |
| Num Males | 27 |
| Num Females | 7 |
| Raw Data Available | Yes |
| Raw Data File Type(s) | mzML |
| Analysis Type Detail | LC-MS |
| Release Date | 2025-11-19 |
| Release Version | 1 |
Select appropriate tab below to view additional metadata details:
Project:
| Project ID: | PR001984 |
| Project DOI: | doi: 10.21228/M88J0W |
| Project Title: | A metabolic atlas of mouse aging |
| Project Summary: | Humans are living longer, but this is accompanied by an increased incidence of age-related chronic diseases. Many of these diseases are influenced by age-associated metabolic dysregulation, but how metabolism changes in multiple organs during aging in males and females is not known. Answering this could reveal new mechanisms of aging and age-targeted therapeutics. In this study, we describe how metabolism changes in 12 organs in male and female mice at 5 different ages. Organs show distinct patterns of metabolic aging that are affected by sex differently. Hydroxyproline shows the most consistent change across the dataset, decreasing with age in 11 out of 12 organs investigated. We also developed a metabolic aging clock that predicts biological age and identified alpha-ketoglutarate, previously shown to extend lifespan in mice, as a key predictor of age. Our results reveal fundamental insights into the aging process and identify new therapeutic targets to maintain organ health. |
| Institute: | University of Southern California |
| Department: | Keck School of Medicine |
| Laboratory: | Mullen Lab |
| Last Name: | Pilley |
| First Name: | Steven |
| Address: | 1501 San Pablo St., Los Angeles, CA, 90033, USA |
| Email: | pilley@usc.edu |
| Phone: | +13234427555 |
| Funding Source: | Impetus Grants 014746-00001 |
Subject:
| Subject ID: | SU004432 |
| Subject Type: | Human |
| Subject Species: | Homo sapiens |
| Taxonomy ID: | 9606 |
| Age Or Age Range: | 20s-70s |
| Gender: | Male and female |
| Human Race: | White, African American |
Factors:
Subject type: Human; Subject species: Homo sapiens (Factor headings shown in green)
| mb_sample_id | local_sample_id | Sample source | Age | Sex | Race | Injection order |
|---|---|---|---|---|---|---|
| SA498253 | Blank-GiftOfLife | - | - | - | - | 1 |
| SA498254 | Gift of Life Pool 2 | - | - | - | - | 15 |
| SA498255 | Cell QC-GiftOfLife | - | - | - | - | 2 |
| SA498256 | Gift of Life Pool 3 | - | - | - | - | 26 |
| SA498257 | Gift of Life Matrix Blank | - | - | - | - | 3 |
| SA498258 | Gift of Life Pool 1 | - | - | - | - | 4 |
| SA498259 | Gift of Life Pool 4 | - | - | - | - | 41 |
| SA498260 | 1_HP | Pancreas | 20-29 | Male | African American | 13 |
| SA498261 | 4_HP | Pancreas | 20-29 | Male | African American | 33 |
| SA498262 | 6_HP | Pancreas | 20-29 | Male | African American | 37 |
| SA498263 | 3_HP | Pancreas | 20-29 | Male | White | 19 |
| SA498264 | 5_HP | Pancreas | 20-29 | Male | White | 20 |
| SA498265 | 2_HP | Pancreas | 20-29 | Male | White | 30 |
| SA498266 | 8_HP | Pancreas | 30-39 | Female | White | 16 |
| SA498267 | 10_HP | Pancreas | 30-39 | Female | White | 21 |
| SA498268 | 11_HP | Pancreas | 30-39 | Female | White | 29 |
| SA498269 | 9_HP | Pancreas | 30-39 | Female | White | 6 |
| SA498270 | 7_HP | Pancreas | 30-39 | Male | African American | 17 |
| SA498271 | 15_HP | Pancreas | 30-39 | Male | African American | 28 |
| SA498272 | 12_HP | Pancreas | 30-39 | Male | White | 23 |
| SA498273 | 14_HP | Pancreas | 30-39 | Male | White | 24 |
| SA498274 | 13_HP | Pancreas | 30-39 | Male | White | 8 |
| SA498275 | 16_HP | Pancreas | 40-49 | Female | African American | 32 |
| SA498276 | 17_HP | Pancreas | 40-49 | Female | White | 40 |
| SA498277 | 22_HP | Pancreas | 40-49 | Male | White | 14 |
| SA498278 | 20_HP | Pancreas | 40-49 | Male | White | 18 |
| SA498279 | 18_HP | Pancreas | 40-49 | Male | White | 36 |
| SA498280 | 21_HP | Pancreas | 40-49 | Male | White | 5 |
| SA498281 | 19_HP | Pancreas | 40-49 | Male | White | 7 |
| SA498282 | 23_HP | Pancreas | 50-59 | Female | White | 39 |
| SA498283 | 24_HP | Pancreas | 50-59 | Male | African American | 11 |
| SA498284 | 26_HP | Pancreas | 50-59 | Male | White | 10 |
| SA498285 | 25_HP | Pancreas | 50-59 | Male | White | 27 |
| SA498286 | 28_HP | Pancreas | 60-69 | Male | African American | 22 |
| SA498287 | 30_HP | Pancreas | 60-69 | Male | African American | 31 |
| SA498288 | 29_HP | Pancreas | 60-69 | Male | African American | 38 |
| SA498289 | 32_HP | Pancreas | 60-69 | Male | White | 12 |
| SA498290 | 27_HP | Pancreas | 60-69 | Male | White | 25 |
| SA498291 | 31_HP | Pancreas | 60-69 | Male | White | 34 |
| SA498292 | 34_HP | Pancreas | 70-79 | Male | White | 35 |
| SA498293 | 33_HP | Pancreas | 70-79 | Male | White | 9 |
| Showing results 1 to 41 of 41 |
Collection:
| Collection ID: | CO004425 |
| Collection Summary: | We collected donor pancreata from the Gift of Life Michigan Donor Care Center. The pancreata were either not eligible for transplant or they had no eligible recipients. While maintaining blood flow, we cross-clamped the superior mesenteric and celiac arteries, recovered the pancreas and immediately placed it in a physiologic organ preservation solution on ice. We then transported the pancreata to the University of Michigan, approximately 6 miles away, where it was dissected into head, body and tail, and then immediately flash frozen in liquid nitrogen. |
| Sample Type: | Pancreas |
Treatment:
| Treatment ID: | TR004441 |
| Treatment Summary: | These samples are from human donors procured in donation after brain death. Confounding factors, such as donor diseases (e.g., diabetes and obesity), made these organs ineligible for transplantation, which rendered them available for research. |
Sample Preparation:
| Sampleprep ID: | SP004438 |
| Sampleprep Summary: | For tissue homogenization, we put tissue samples in 10 μL ice-cold 4:1 LC-grade Methanol:Ultrapure-water per mg tissue and homogenized them using a bead homogenizer. We centrifuged tissue homogenates at 4°C at 21,300 g for 10 minutes and collected the metabolite-containing supernatants. We dried down 100 μL of supernatant from each sample (equivalent to 10 mg of tissue) using a vacuum centrifuge and stored them at -80°C until further processing. Dried supernatants reconstituted in 50ul of LC-grade Methanol: Ultrapure-water mix (1:1). |
Chromatography:
| Chromatography ID: | CH005408 |
| Instrument Name: | Agilent 1290 Infinity II |
| Column Name: | Agilent ZORBAX RRHD SB-C18 (150 x 2.1mm,1.8um) |
| Column Temperature: | 35 |
| Flow Gradient: | 0.25 mL/min, 0–2.5 min, 100% A; 7.5 min, 80% A and 20% B; 13 min 55% A and 45% B; 20 min, 1% A and 99% B; 24 min, 1% A and 99% B; 24.05 min, 1% A and 99% C; 27 min, 1% A and 99% C; at 0.8 mL/min, 27.5–31.35 min, 1% A and 99% C; at 0.6 mL/min, 31.50 min, 1% A and 99% C; at 0.4 mL/min, 32.25–39.9 min, 100% A; and at 0.25 mL/min, 40 min, 100% A. |
| Flow Rate: | 0.25-0.8 mL/min |
| Solvent A: | 97% water/3% methanol;15 mM acetic acid; 10 mM tributylamine at pH 5 |
| Solvent B: | 100% methanol; 15 mM acetic acid; 10 mM tributylamine |
| Chromatography Type: | Reversed phase |
| Solvent C: | 100% acetonitrile, wash solvent. |
Analysis:
| Analysis ID: | AN007118 |
| Laboratory Name: | Lyssiotis Lab |
| Analysis Type: | MS |
| Operator Name: | Li Zhang |
| Chromatography ID: | CH005408 |
| Num Factors: | 41 |
| Num Metabolites: | 83 |
| Units: | AU |