Back

Multi-Tissue Metabolomic Signatures of Five Longevity Interventions Converge on Ergothioneine and Lipid Remodeling in Male UM-HET3 Mice

Badenoch, B.; Fiehn, O.; Rappaport, N.; Greenfield, S.; Chandrasekaran, S.; Miller, R. A.

2026-07-09 molecular biology
10.64898/2026.06.24.734388 bioRxiv
Show abstract

The pace of aging can be delayed by mutations, dietary manipulations, and drugs, yet the metabolic mechanisms underlying longevity interventions remain poorly understood. Here we present a multi-tissue metabolomic analysis of male UM-HET3 mice treated from 4 to 12 months of age with five validated longevity interventions: rapamycin, acarbose, 17-estradiol, canagliflozin, or caloric restriction. Using a feature-stabilized XGBoost pipeline applied to seven tissues, we show that metabolomic profiles can identify treated mice as likely recipients of a lifespan-extending intervention well before survival differences emerge. A leave-one-intervention-out procedure confirmed that models trained on any four interventions successfully classified mice from a fifth, unseen intervention, implying shared metabolic alterations across mechanistically distinct treatments. The most influential metabolites -- defined as the minimum set explaining 50% of cumulative model gain -- differed substantially across tissues. Only ergothioneine, a dietary antioxidant, ranked highly in more than two tissues: it was elevated by all five interventions in plasma and brain, and by four of five in muscle. Enrichment analyses further identified coordinated remodeling of lipid classes in plasma, perigonadal fat, and kidney. These findings reveal tissue-specific metabolic reprogramming shared across mechanistically distinct longevity interventions and, pending validation against interventions that do not extend lifespan, suggest a path toward metabolomic screening of candidate anti-aging drugs.

Matching journals

The top 5 journals account for 50% of the predicted probability mass.

1
Aging Cell
165 papers in training set
Top 0.2%
15.5%
2
GeroScience
109 papers in training set
Top 0.1%
13.2%
3
Nature Communications
5641 papers in training set
Top 15%
12.2%
4
Nature Metabolism
69 papers in training set
Top 0.3%
6.4%
5
Cell Metabolism
57 papers in training set
Top 0.3%
4.5%
50% of probability mass above
6
Nature Aging
60 papers in training set
Top 0.4%
4.1%
7
Cell Reports
1498 papers in training set
Top 10%
4.1%
8
eLife
5828 papers in training set
Top 37%
2.9%
9
The Journals of Gerontology: Series A
29 papers in training set
Top 0.2%
2.5%
10
Proceedings of the National Academy of Sciences
2444 papers in training set
Top 21%
2.5%
11
Scientific Reports
3612 papers in training set
Top 46%
2.2%
12
PLOS ONE
5266 papers in training set
Top 47%
1.8%
13
The Journals of Gerontology, Series A: Biological Sciences and Medical Sciences
26 papers in training set
Top 0.3%
1.8%
14
Aging
75 papers in training set
Top 0.8%
1.8%
15
Science Advances
1243 papers in training set
Top 21%
1.5%
16
Biogerontology
10 papers in training set
Top 0.1%
1.5%
17
Advanced Science
286 papers in training set
Top 6%
1.4%
18
Communications Biology
993 papers in training set
Top 20%
1.2%
19
Frontiers in Aging
11 papers in training set
Top 0.1%
1.2%
20
Molecular Neurodegeneration
55 papers in training set
Top 1%
1.1%
21
Molecular Metabolism
112 papers in training set
Top 1%
1.0%
22
International Journal of Molecular Sciences
494 papers in training set
Top 16%
0.6%
23
Molecular Cell
350 papers in training set
Top 5%
0.6%
24
npj Aging
22 papers in training set
Top 0.6%
0.6%