{"entity": "publication", "iuid": "4539a79044a24f248e89e4d6c8f0b546", "timestamp": "2026-09-24T06:47:51.648Z", "links": {"self": {"href": "https://publications-affiliated.scilifelab.se/publication/4539a79044a24f248e89e4d6c8f0b546.json"}, "display": {"href": "https://publications-affiliated.scilifelab.se/publication/4539a79044a24f248e89e4d6c8f0b546"}}, "title": "Longitudinal changes in blood-borne geroscience biomarkers: results from a population-based study.", "authors": [{"family": "Picca", "given": "Anna", "initials": "A"}, {"family": "Nguyen", "given": "Ngoc Viet", "initials": "NV"}, {"family": "Calvani", "given": "Riccardo", "initials": "R"}, {"family": "Dale", "given": "Matilda", "initials": "M"}, {"family": "Fredolini", "given": "Claudia", "initials": "C"}, {"family": "Marzetti", "given": "Emanuele", "initials": "E"}, {"family": "Calder\u00f3n-Larra\u00f1aga", "given": "Amaia", "initials": "A"}, {"family": "Vetrano", "given": "Davide Liborio", "initials": "DL", "orcid": "0000-0002-3099-4830", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/3473c98810f247f7805ea747af1fdbbe.json"}}], "type": "journal article", "published": "2025-10-00", "journal": {"title": "Geroscience", "issn": "2509-2723", "volume": "47", "issue": "5", "pages": "6411-6427", "issn-l": null}, "abstract": "Multi-marker approaches are well suited for untangling the intrinsic complexity of aging and related conditions. Herein, we quantified (1) baseline concentrations of a panel of geroscience biomarkers pertaining to four biological domains (i.e., metabolism, inflammation, vascular/organ dysfunction and cellular senescence, and neurodegeneration) in individuals aged \u226560 years; (2) investigated linear and non-linear changes in biomarker levels over a 6-year period according to age and sex; and (3) described the relationships among geroscience biomarkers at baseline and follow-up. We found that repeated measures of age-dependent changes of 47 blood-borne biomarkers over 6 years had differential associations depending on the biological domains. The most relevant biomolecules in the associations between age and repeated assessments were (1) adiponectin, C-peptide, renin (metabolism), (2) CXCL10, IL-1\u03b1, IL-1\u03b2, IL-6, IL-10, IL-12p70, MPO (inflammation), (3) cystatin C, MMP7, MMP12, VCAM-1 (vascular/organ dysfunction and cellular senescence), and (4) S100B and Tau protein (neurodegeneration). Among these molecules, a negative association with increasing age was found for IL-1\u03b1, IL-1\u03b2, IL-12p70, S100B, and Tau protein. Non-linear relationships were also identified with age for IGFBP-1, leptin, \u03b22M, TNFRSF1B, fibrinogen, GDF-15, N-cadherin, and BDNF. Our results indicate that inflammatory and metabolic biomolecules are strongly associated with aging over 6 years of follow-up. Whether the biological pathways reflected by these biomarkers contribute to the aging process or are associated with negative health-related events needs to be explored through comprehensive multi-omics longitudinal analysis in larger cohorts.", "doi": "10.1007/s11357-025-01666-x", "pmid": "40272732", "labels": [], "xrefs": [{"db": "pmc", "key": "PMC12634922"}, {"db": "pii", "key": "10.1007/s11357-025-01666-x"}], "notes": [], "created": "2026-09-23T11:35:13.665Z", "modified": "2026-09-23T11:35:13.692Z"}