Table 1. Summary of human population studies of the metabolome and aging.
Year | First author | Region* | Participants† | Sample source | Technology | Analytes |
2006 | Kochhar | Europe | 150 | Urine and plasma | NMR | 256 (urine) and 128 (plasma) variables |
2007 | Slupsky | North America | 60 | Urine | NMR | Binned spectra and 50 metabolites (targeted) |
2008 | Lawton | North America | 269 | Plasma | MS | >300 metabolites |
2008 | Psihogios | Europe | 122 | Urine | NMR | 194 spectral regions |
2009 | Gu | North America | 55 | Urine | NMR | 800 frequency bins |
2011 | Vaarhorst | Europe | 2375 | Serum | NMR and others | 7 lipoprotein and other lipid-related measurements |
2012 | Yu | Europe | 2904 | Serum | MS | 163 metabolites |
2013 | Menni | Europe | 6942 | Serum and plasma | MS | 280 (serum) and 456 (plasma) metabolites |
2013 | Swann | Multiple | 2005 | Urine | NMR and MS | 64,000 spectral variables (NMR) |
2013 | Collino | Europe | 396 | Serum and urine | NMR and MS | 163 metabolites (MS), 63 eicosanoids (MS), and 12,000 spectral variables (NMR) |
2014 | Auro | Europe | 26,065 | Serum and plasma | NMR | 135 metabolites |
2014 | Montoliu | Europe | 294 | Serum | NMR and MS | 12,000 spectral variables (NMR) and 174 lipids (MS) |
2014 | Lee | East Asia | 152 | Plasma | MS | ~2000 variables |
2014 | Saito | ‡ | 60 | Serum and plasma | MS | 297 metabolites |
2015 | Thévenot | Europe | 183 | Urine | MS | 170 metabolites |
2015 | Dunn | Europe | 1200 | Serum | MS | 4584 metabolite features |
2016 | Jové | Europe | 150 | Plasma | MS | 2678 metabolite features |
2016 | Chaleckis | East Asia | 30 | RBCs | MS | 126 metabolites |
2017 | Rist | Europe | 301 | Plasma and urine | NMR and MS | 442 (plasma) and 531 (urine) analytes |
2019 | Chak | Europe | 976 | Serum | MS | 122 metabolites |
2019 | Darst | North America | 1212 | Plasma | MS | 1097 metabolites |
2019 | Johnson | North America | 635 | Plasma | MS | 360 metabolites |
2020 | Ahadi | North America | 106 | Plasma | MS | 722 metabolites |
2020 | Bunning | North America | 268 | Plasma | MS | 770 metabolites |
2020 | Robinson | Europe | 4,383 | Serum and urine | NMR and MS | 28,941 metabolite features used in age prediction models |
2020 | Peters | Europe | 87 | CSF | MS | 8036 metabolite features (untargeted) and 206 metabolites (targeted) |
2020 | van den Akker | Europe | 23,590 | Serum | NMR | 62 metabolites analyzed of 226 metabolites available |
2021 | Hwangbo | North America | 198 | CSF | MS | 7697 metabolite and 1070 lipid features |
2021 | Mallol | Multiple | 316 | Plasma | NMR | 173 metabolite features |
2021 | Peters | Europe | 41 | CSF | MS | 1841 metabolite features |
2021 | Teruya | East Asia | 27 | Saliva | MS | 99 metabolites |
2021 | Carlsson | Europe | 23 | CSF | MS | 70 metabolites |
2022 | Watanabe | East Asia | 1193 | Plasma | MS | 94 metabolites |
2022 | Janssens | Europe | 52 | Muscle | MS | 137 metabolites |
2022 | Verri Hernandes | Europe | 6872 | Serum | MS | 175 metabolites |
2022 | Li | East Asia | 117 | Plasma | NMR | 35 identified metabolites |
*Refers to the study population.
†Includes replication samples when applicable.
‡Participants were described as “healthy Caucasian volunteers.”