PXD028281

PXD028281 is an original dataset announced via ProteomeXchange.

Title	Age prediction from human blood plasma using proteomic and small RNA data: a comparative analysis
Description	Aging clocks, built from comprehensive molecular data, have emerged as promising tools in medicine, forensics, and ecological research. However, few studies have compared the suitability of different molecular data types to predict age in the same cohort and whether combining them would improve predictions. Here, we explored this at the level of proteins and small RNAs in 103 human blood plasma samples. First, we used a two-step mass spectrometry approach measuring 612 proteins to select and quantify 21 proteins that changed in abundance with age. Notably, proteins increasing with age were enriched for components of the complement system. Next, we used small RNA sequencing to select and quantify a set of 315 small RNAs that changed in abundance with age. Most of these were microRNAs (miRNAs), downregulated with age, and predicted to target genes related to growth, cancer, and senescence. Finally, we used the collected data to build age-predictive models. Among the different types of molecules, proteins yielded the most accurate model (R² = 0.59 ± 0.02), followed by miRNAs as the best-performing class of small RNAs (R² = 0.54 ± 0.02). Interestingly, the use of protein and miRNA data together improved predictions (R2 = 0.70 ± 0.01). Future work using larger sample sizes and a validation dataset will be necessary to confirm these results. Nevertheless, our study suggests that combining proteomic and miRNA data yields superior age predictions, possibly by capturing a broader range of age-related physiological changes. It will be interesting to determine if combining different molecular data types works as a general strategy to improve future aging clocks.
HostingRepository	PRIDE
AnnounceDate	2023-11-14
AnnouncementXML	Submission_2023-11-14_09:02:01.489.xml
DigitalObjectIdentifier
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Unsupported dataset by repository
PrimarySubmitter	Jerome Salignon
SpeciesList	scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationList	No PTMs are included in the dataset
Instrument	Q Exactive HF

Revision	Datetime	Status	ChangeLog Entry
0	2021-09-09 08:10:27	ID requested
1	2023-07-03 06:02:54	announced
⏵ 2	2023-11-14 09:02:07	announced	2023-11-14: Updated project metadata.

Salignon J, Faridani OR, Miliotis T, Janssens GE, Chen P, Zarrouki B, Sandberg R, Davidsson P, Riedel CG, Age prediction from human blood plasma using proteomic and small RNA data: a comparative analysis. Aging (Albany NY), 15(12):5240-5265(2023) [pubmed]

submitter keyword: Human, plasma, HRM-MS

Christian Riedel
contact affiliation	Biosciences and Nutrition, Riedel Lab, Karolinska Institute, Sweden
contact email	christian.riedel@ki.se
lab head
Jerome Salignon
contact affiliation	Karolinska Institute
contact email	jerome.salignon@ki.se
dataset submitter

Dataset FTP location NOTE: Most web browsers have now discontinued native support for FTP access within the browser window. But you can usually install another FTP app (we recommend FileZilla) and configure your browser to launch the external application when you click on this FTP link. Or otherwise, launch an app that supports FTP (like FileZilla) and use this address: ftp://ftp.pride.ebi.ac.uk/pride/data/archive/2023/07/PXD028281

PRIDE project URI

• PRIDE
  1. PXD028281
     1. Label: PRIDE project
     2. Name: Age prediction from human blood plasma using proteomic and small RNA data: a comparative analysis