Published December 1, 2025 | Version 1.0

Discrimination of Normal from Slow-Aging Mice by Plasma Metabolomic and Proteomic Features Datasets

Description

This dataset contains comprehensive plasma metabolomic and proteomic profiles from mice treated with a variety of anti-aging interventions. A full description of the study design, analytical methods, and primary findings can be found in “Discrimination of Normal from Slow-Aging Mice by Plasma Metabolomic and Proteomic Features,” Badenoch et al., Geroscience (2025).

These datasets are fully compatible with the accompanying GitHub repository:
https://github.com/BrettonB/AgingDrugOmics

To process the data using the provided code, download all files into a folder named “Step1_LoadingAndCleaningData” and place this folder within the AgingDrugOmics repository.

Files

AM.csv

Files (347.1 MB)

Name Size
md5:5d8b0026472139920385760ac75cb597
54.8 MB Preview Download
md5:d00833d5c8cbe6a8a39032daaa4e78c2
99.2 MB Preview Download
md5:0f952765d6771d69b9cca3b390415503
55.1 MB Preview Download
md5:5f410db1fe82c7636e619d87eda135f3
1.3 MB Download
md5:938390a06201130ef38d9cccd9d383ca
4.8 MB Preview Download
md5:81a4664f9606f0db8a9c3aaaafc2d4d5
32.6 MB Preview Download
md5:e19c1d93cad1ce753d4d1a39d425de2a
32.0 MB Preview Download
md5:cadbd060600ad9752b53195144d1b1fa
16.0 kB Preview Download
md5:a69032550067dc607414cdf71f4c4e98
42.2 MB Preview Download
md5:6da39a8c9885a6dc08f54bf801bd7abb
24.9 MB Download

Additional details

Software

Repository URL
https://github.com/BrettonB/AgingDrugOmics
Programming language
Python , R