Summary of project PR001134
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 PR001134. The data can be accessed directly via it's Project DOI: 10.21228/M8470J This work is supported by NIH grant, U2C- DK119886.
See: https://www.metabolomicsworkbench.org/about/howtocite.php
| Project ID: | PR001134 |
| Project DOI: | doi: 10.21228/M8470J |
| Project Title: | Lipidomics on healthy blood donors |
| Project Summary: | The study population includes 844 healthy volunteers of which 183 women and 661 men, with a median age of 43 ± 12 yrs and 40 ± 11 yrs, respectively. The participants in this study were selected from the Tus-cany section of the Italian Association of Blood Donors (AVIS) in the Transfusion Service of the Pistoia Hospital. Plasma samples were obtained according to the Italian guidelines for blood donations. How age and sex influence the human lipidome were investigated. |
| Institute: | University of Florence |
| Department: | CERM |
| Last Name: | Vignoli |
| First Name: | Alessia |
| Address: | Via Luigi Sacconi 6, Sesto Fiorentino, Italia, 50019, Italy |
| Email: | vignoli@cerm.unifi.it |
| Phone: | +390554574281 |
| Publications: | Vignoli, A.; Tenori, L.; Luchinat, C.; Saccenti, E. Age and sex effects on plasma metabolite association networks in healthy subjects. Journal of Proteome Research 2018, 17, 97-107. Saccenti, E.; Suarez-Diez, M.; Luchinat, C.; Santucci, C.; Tenori, L. Probabilistic networks of blood metabolites in healthy subjects as indicators of latent cardiovascular risk. Journal of Proteome Research 2014, 14, 1101--1111. Vignoli, A.; Tenori, L.; Luchinat, C.; Saccenti, E. Differential network analysis reveals molecular determinants associated with blood pressure and heart rate in healthy subjects. Journal of Proteome Research 2020. |
Summary of all studies in project PR001134
| Study ID | Study Title | Species | Institute | Analysis(* : Contains Untargted data) | Release Date | Version | Samples | Download(* : Contains raw data) |
|---|---|---|---|---|---|---|---|---|
| ST001785 | The human lipidome via NMR | Homo sapiens | University of Florence | NMR | 2021-05-25 | 1 | 844 | Not available |
