{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,26]],"date-time":"2026-08-26T05:19:55Z","timestamp":1787721595695,"version":"build-2784847793"},"reference-count":129,"publisher":"MDPI AG","issue":"17","license":[{"start":{"date-parts":[[2026,8,24]],"date-time":"2026-08-24T00:00:00Z","timestamp":1787529600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Mol. Sci.","IJMS"],"abstract":"<jats:p>Aptamer-based multiplexed proteomic platforms, especially the SOMAmer-based SomaScan assay, are widely used for large-scale discovery of circulating biomarkers relevant to human aging. This review summarizes 42 original research articles published from 2020 through 2026 in which aptamers or aptamer-derived biosensors were used to characterize aging-related biomarkers in human samples or clinically relevant human-disease contexts. The eligible literature falls into several thematic areas: whole-plasma and organ-specific proteomic aging clocks; inflammaging and senescence-associated secretory phenotype (SASP) markers; cardiovascular, metabolic, renal, hepatic, musculoskeletal and neurodegenerative biomarker panels; and aptasensor platforms for detection of individual analytes. Only a small number of studies have compared aptamer- and antibody-based platforms in the same specimens; we tabulate these and show that median between-platform agreement is low to moderate, which constrains the pooling of findings across technologies. We also make explicit an interpretive point that is usually left implicit: because proteomic clocks are trained against chronological age, their correlation with chronological age measures fit to the training target rather than biological validity, and the informative quantity is the residual age gap. In the reviewed literature, SomaScan-based studies are concentrated in cardiovascular, neurodegenerative, frailty, and proteomic aging-clock research, whereas de novo SELEX campaigns targeting aging-specific epitopes and longitudinal human validation of wearable aptasensors were not identified. The main barriers to translation are cross-platform discordance, limited replication across ancestries, under-reported pre-analytical variability, cost, and the research-use-only status of most assays.<\/jats:p>","DOI":"10.3390\/ijms27177580","type":"journal-article","created":{"date-parts":[[2026,8,24]],"date-time":"2026-08-24T17:20:28Z","timestamp":1787592028000},"page":"7580","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Aptamer-Based Platforms for Human Aging Biomarkers: Multiplexed Proteomics, Biosensors and Translational Perspectives"],"prefix":"10.3390","volume":"27","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3494-9807","authenticated-orcid":false,"given":"Zulfiya","family":"Guvatova","sequence":"first","affiliation":[{"name":"Petrovsky National Research Center of Surgery, Institute of Biology of Ageing and Healthy Longevity Medicine with Clinic of Predictive Medicine, 119435 Moscow, Russia"},{"name":"Engelhardt Institute of Molecular Biology, 119991 Moscow, Russia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anastasiya","family":"Kobelyatskaya","sequence":"additional","affiliation":[{"name":"Petrovsky National Research Center of Surgery, Institute of Biology of Ageing and Healthy Longevity Medicine with Clinic of Predictive Medicine, 119435 Moscow, Russia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alexander","family":"Gorbunov","sequence":"additional","affiliation":[{"name":"Pharmacology Department of the Institute of Digital Biodesign and Artificial Intelligence in Medicine, Sechenov University, 119435 Moscow, Russia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5492-1361","authenticated-orcid":false,"given":"Elena","family":"Pudova","sequence":"additional","affiliation":[{"name":"Petrovsky National Research Center of Surgery, Institute of Biology of Ageing and Healthy Longevity Medicine with Clinic of Predictive Medicine, 119435 Moscow, Russia"},{"name":"Engelhardt Institute of Molecular Biology, 119991 Moscow, Russia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alexey","family":"Moskalev","sequence":"additional","affiliation":[{"name":"Petrovsky National Research Center of Surgery, Institute of Biology of Ageing and Healthy Longevity Medicine with Clinic of Predictive Medicine, 119435 Moscow, Russia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2026,8,24]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"243","DOI":"10.1016\/j.cell.2022.11.001","article-title":"Hallmarks of aging: An expanding universe","volume":"186","author":"Blasco","year":"2023","journal-title":"Cell"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"e13080","DOI":"10.1111\/acel.13080","article-title":"Measuring biological aging in humans: A quest","volume":"19","author":"Ferrucci","year":"2020","journal-title":"Aging Cell"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"715","DOI":"10.1038\/s41576-022-00511-7","article-title":"Measuring biological age using omics data","volume":"23","author":"Rutledge","year":"2022","journal-title":"Nat. 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