Systematic review and analysis of human proteomics aging studies unveils a novel proteomic aging clock and identifies key processes that change with age
Abstract
The development of clinical interventions that significantly improve human healthspan requires robust markers of biological age as well as thoughtful therapeutic targets. To promote these goals, we performed a systematic review and analysis of human aging and proteomics studies. The systematic review includes 36 different proteomics analyses, each of which identified proteins that significantly changed with age. We discovered 1,128 proteins that had been reported by at least two or more analyses and 32 proteins that had been reported by five or more analyses. Each of these 32 proteins has known connections relevant to aging and age-related disease. GDF15, for example, extends both lifespan and healthspan when overexpressed in mice and is additionally required for the anti-diabetic drug metformin to exert beneficial effects on body weight and energy balance. Bioinformatic enrichment analyses of our 1,128 commonly identified proteins heavily implicated processes relevant to inflammation, the extracellular matrix, and gene regulation. We additionally propose a novel proteomic aging clock comprised of proteins that were reported to change with age in plasma in three or more different studies. Using a large patient cohort comprised of 3,301 subjects (aged 18-76 years), we demonstrate that this clock is able to accurately predict human age.
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Follow-up studies have shown that dozens of proteins identified in plasma proteomic ageing clocks directly regulate lifespan, and hundreds have biological connections to the health status of different organs.
“Follow-up studies have shown that dozens of proteins identified in plasma proteomic ageing clocks directly regulate lifespan, and hundreds have biological connections to the health status of different organs98,99.”
From Measuring biological age using omics data (2022) · cites this paper as [98]
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KEGG: Kyoto Encyclopedia of Genes and Genomes
Kanehisa, M. (2000) · Nucleic Acids Research · doi:10.1093/nar/28.1.27 · Cited by 37,077 · see citing works
KEGG: Kyoto Encyclopedia of Genes and Genomes
Ogata, H., Goto, S., Sato, K., Fujibuchi, W., Bono, H., & Kanehisa, M. (1999) · Nucleic Acids Research · doi:10.1093/nar/27.1.29 · Cited by 31,232 · see citing works
López-Otín, C., Blasco, M. A., Partridge, L., Serrano, M., & Kroemer, G. (2013) · Cell · doi:10.1016/j.cell.2013.05.039 · Cited by 14,982 · see citing works
UniProt: a worldwide hub of protein knowledge
The UniProt Consortium (2019) · Nucleic Acids Research · doi:10.1093/nar/gky1049 · Cited by 7,698 · see citing works
DNA methylation age of human tissues and cell types
Horvath, S. (2013) · Genome Biology · doi:10.1186/gb-2013-14-10-r115 · Cited by 7,075 · see citing works
Chronic inflammation in the etiology of disease across the life span
Furman, D., Campisi, J., Verdin, E., Carrera-Bastos, P., Targ, S., Franceschi, C., Ferrucci, L., Gilroy, D. W., Fasano, A., Miller, G. W., et al. (2019) · Nature Medicine · doi:10.1038/s41591-019-0675-0 · Cited by 4,915 · see citing works
The Gene Ontology Resource: 20 years and still GOing strong
The Gene Ontology Consortium (2019) · Nucleic Acids Research · doi:10.1093/nar/gky1055 · Cited by 4,747 · see citing works
Cellular Senescence: Defining a Path Forward
Gorgoulis, V., Adams, P. D., Alimonti, A., Bennett, D. C., Bischof, O., Bishop, C., Campisi, J., Collado, M., Evangelou, K., Ferbeyre, G., et al. (2019) · Cell · doi:10.1016/j.cell.2019.10.005 · Cited by 3,225 · see citing works
WebGestalt 2019: gene set analysis toolkit with revamped UIs and APIs
Liao, Y., Wang, J., Jaehnig, E. J., Shi, Z., & Zhang, B. (2019) · Nucleic Acids Research · doi:10.1093/nar/gkz401 · Cited by 3,144 · see citing works
DNA methylation-based biomarkers and the epigenetic clock theory of ageing
Horvath, S., & Raj, K. (2018) · Nature Reviews Genetics · doi:10.1038/s41576-018-0004-3 · Cited by 3,095 · see citing works
Alzheimer Disease Genetics Consortium (ADGC), Kunkle, B. W., The European Alzheimer’s Disease Initiative (EADI), Cohorts for Heart and Aging Research in Genomic Epidemiology Consortium (CHARGE), Genetic and Environmental Risk in AD/Defining Genetic, P. A. E. R. F. A. D. C. (., Grenier-Boley, B., Sims, R., Bis, J. C., Damotte, V., Naj, A. C., et al. (2019) · Nature Genetics · doi:10.1038/s41588-019-0358-2 · Cited by 2,946 · see citing works
Mutations in the DJ-1 Gene Associated with Autosomal Recessive Early-Onset Parkinsonism
Bonifati, V., Rizzu, P., van Baren, M. J., Schaap, O., Breedveld, G. J., Krieger, E., Dekker, M. C. J., Squitieri, F., Ibáñez, P., Joosse, M., et al. (2003) · Science · doi:10.1126/science.1077209 · Cited by 2,800 · see citing works
The reactome pathway knowledgebase 2022
Gillespie, M. E., Jassal, B., Stephan, R., Orlic-Milacic, M., Rothfels, K., Senff‐Ribeiro, A., Griss, J., Sevilla, C., Matthews, L. R., Gong, C., et al. (2021) · Nucleic Acids Research · doi:10.1093/nar/gkab1028 · Cited by 2,355 · see citing works
Genomic atlas of the human plasma proteome
Sun, B. B., Maranville, J. C., Peters, J. E., Stacey, D., Staley, J. R., Blackshaw, J., Burgess, S., Jiang, T., Paige, E., Surendran, P., et al. (2018) · Nature · doi:10.1038/s41586-018-0175-2 · Cited by 2,268 · see citing works
The BioGRID interaction database: 2019 update
Oughtred, R., Stark, C., Breitkreutz, B., Rust, J., Boucher, L., Chang, C., Kolas, N. K., O’Donnell, L., Leung, G. C., McAdam, R. F., et al. (2018) · Nucleic Acids Research · doi:10.1093/nar/gky1079 · Cited by 1,440 · see citing works
From discoveries in ageing research to therapeutics for healthy ageing
Campisi, J., Kapahi, P., Lithgow, G. J., Melov, S., Newman, J. C., & Verdin, E. (2019) · Nature · doi:10.1038/s41586-019-1365-2 · Cited by 1,389 · see citing works
The Reactome pathway Knowledgebase
Fabregat, A., Sidiropoulos, K., Garapati, P., Gillespie, M., Hausmann, K., Haw, R., Jassal, B., Jupe, S., Korninger, F., McKay, S., et al. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkv1351 · Cited by 1,201 · see citing works
Metformin as a tool to target aging
Barzilai, N., Crandall, J. P., Kritchevsky, S. B., & Espeland, M. A. (2016) · Cell Metabolism · doi:10.1016/j.cmet.2016.05.011 · Cited by 1,096 · see citing works
Intracellular α-ketoglutarate maintains the pluripotency of embryonic stem cells
Carey, B. W., Finley, L. W. S., Cross, J. R., Allis, C. D., & Thompson, C. B. (2015) · Nature · doi:10.1038/nature13981 · Cited by 1,007 · see citing works
Undulating changes in human plasma proteome profiles across the lifespan
Lehallier, B., Gate, D., Schaum, N., Nanasi, T., Lee, S. E., Yousef, H., Moran Losada, P., Berdnik, D., Keller, A., Verghese, J., et al. (2019) · Nature Medicine · doi:10.1038/s41591-019-0673-2 · Cited by 981 · see citing works
Self-citationWikiPathways: a multifaceted pathway database bridging metabolomics to other omics research
Slenter, D., Kutmon, M., Hanspers, K., Riutta, A., Windsor, J., Nunes, N. M., Mélius, J., Cirillo, E., Coort, S. L., Digles, D., et al. (2017) · Nucleic Acids Research · doi:10.1093/nar/gkx1064 · Cited by 910 · see citing works
Therapeutic Potential of NAD-Boosting Molecules: The In Vivo Evidence
Rajman, L., Chwalek, K., & Sinclair, D. A. (2018) · Cell Metabolism · doi:10.1016/j.cmet.2018.02.011 · Cited by 865 · see citing works
Slowing ageing by design: the rise of NAD+ and sirtuin-activating compounds
Bonkowski, M. S., & Sinclair, D. A. (2016) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm.2016.93 · Cited by 834 · see citing works
Measuring biological aging in humans: a quest
Ferrucci, L., Gonzalez‐Freire, M., Fabbri, E., Simonsick, E., Tanaka, T., Moore, Z., Salimi, S., Sierra, F., & de Cabo, R. (2020) · Aging Cell · doi:10.1111/acel.13080 · Cited by 781 · see citing works
Human Ageing Genomic Resources: new and updated databases
Tacutu, R., Thornton, D., Johnson, E., Budovsky, A., Barardo, D., Craig, T., Diana, E., Lehmann, G., Toren, D., Wang, J., et al. (2018) · Nucleic Acids Research · doi:10.1093/nar/gkx1042 · Cited by 738 · see citing works
The transcriptional landscape of age in human peripheral blood
Peters, M. J., Joehanes, R., Pilling, L. C., Schurmann, C., Conneely, K. N., Powell, J., Reinmaa, E., Sutphin, G. L., Zhernakova, A., Schramm, K., et al. (2015) · Nature Communications · doi:10.1038/ncomms9570 · Cited by 725 · see citing works
Self-citationDynamic rerouting of the carbohydrate flux is key to counteracting oxidative stress
Ralser, M., Wamelink, M. M. C., Kowald, A., Gerisch, B., Heeren, G., Struys, E. A., Klipp, E., Jakobs, C., Breitenbach, M., Lehrach, H. R., et al. (2007) · Journal of Biology · doi:10.1186/jbiol61 · Cited by 627 · see citing works
Martens, C. R., Denman, B. A., Mazzo, M. R., Armstrong, M. L., Reisdorph, N., McQueen, M. B., Chonchol, M., & Seals, D. R. (2018) · Nature Communications · doi:10.1038/s41467-018-03421-7 · Cited by 588 · see citing works
GDF15 mediates the effects of metformin on body weight and energy balance
Coll, A. P., Chen, M., Taskar, P., Rimmington, D., Patel, S., Tadross, J. A., Cimino, I., Yang, M., Welsh, P., Virtue, S., et al. (2020) · Nature · doi:10.1038/s41586-019-1911-y · Cited by 584 · see citing works
The metabolite alpha-ketoglutarate extends lifespan by inhibiting the ATP synthase and TOR
Chin, R., Fu, X., Pai, M. Y., Vergnes, L., Hwang, H., Deng, G., Diep, S., Lomenick, B., Meli, V., Monsalve, G. C., et al. (2014) · Nature · doi:10.1038/nature13264 · Cited by 570 · see citing works
Plasma proteomic signature of age in healthy humans
Tanaka, T., Biancotto, A., Moaddel, R., Moore, A. Z., Gonzalez‐Freire, M., Aon, M. A., Candia, J., Zhang, P., Cheung, F., Fantoni, G., et al. (2018) · Aging Cell · doi:10.1111/acel.12799 · Cited by 562 · see citing works
Plasma protein patterns as comprehensive indicators of health
Williams, S. A., Kivimaki, M., Langenberg, C., Hingorani, A. D., Casas, J. P., Bouchard, C., Jonasson, C., Sarzynski, M. A., Shipley, M. J., Alexander, L., et al. (2019) · Nature Medicine · doi:10.1038/s41591-019-0665-2 · Cited by 506 · see citing works
The role of lipid metabolism in aging, lifespan regulation, and age‐related disease
Johnson, A. A., & Stolzing, A. (2019) · Aging Cell · doi:10.1111/acel.13048 · Cited by 452 · see citing works
Self-citationProminent neurodegeneration and increased plaque formation in complement-inhibited Alzheimer's mice
Wyss-Coray, T., Yan, F., Lin, A. H.-T., Lambris, J. D., Alexander, J. J., Quigg, R. J., & Masliah, E. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.162350199 · Cited by 446 · see citing works
Self-citationIntegrated Analysis of Transcriptomic and Proteomic Data
Haider, S., & Pal, R. (2013) · Current Genomics · doi:10.2174/1389202911314020003 · Cited by 432 · see citing works
Extracellular vesicle-contained eNAMPT delays aging and extends lifespan in mice
Yoshida, M., Satoh, A., Lin, J. B., Mills, K. F., Sasaki, Y., Rensing, N., Wong, M., Apte, R. S., & Imai, S.-I. (2019) · Cell Metabolism · doi:10.1016/j.cmet.2019.05.015 · Cited by 407 · see citing works
Insights into the Evolution of Longevity from the Bowhead Whale Genome
Keane, M. P., Semeiks, J. R., Webb, A. E., Li, Y., Quesada, V., Craig, T., Madsen, L. B., van Dam, S., Brawand, D., Marques, P., et al. (2015) · Cell Reports · doi:10.1016/j.celrep.2014.12.008 · Cited by 385 · see citing works
Melzer, D. R., Pilling, L. C., & Ferrucci, L. (2019) · Nature Reviews Genetics · doi:10.1038/s41576-019-0183-6 · Cited by 371 · see citing works
A meta-analysis of genome-wide association studies identifies multiple longevity genes
Deelen, J., Evans, D. S., Arking, D. E., Tesi, N., Nygaard, M., Liu, X., Wojczynski, M. K., Biggs, M. L., van der Spek, A., Atzmon, G., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-11558-2 · Cited by 370 · see citing works
Low Albumin Levels Are Associated with Mortality Risk in Hospitalized Patients
Akirov, A., Masri‐Iraqi, H., Atamna, A., & Shimon, I. (2017) · The American Journal of Medicine · doi:10.1016/j.amjmed.2017.07.020 · Cited by 367 · see citing works
Benayoun, B. A., Pollina, E. A., Singh, P. P., Mahmoudi, S., Harel, I., Casey, K. M., Dulken, B. W., Kundaje, A., & Brunet, A. (2019) · Genome Research · doi:10.1101/gr.240093.118 · Cited by 360 · see citing works
LC-MS/MS in the Clinical Laboratory - Where to From Here?
Grebe, S. K. G., & Singh, R. J. (2011) · Europe PMC (PubMed Central) · Cited by 356 · see citing works
Inactivation of glutathione S-transferase P1 gene by promoter hypermethylation in human neoplasia.
Esteller, M., Corn, P. G., Ureña, J. M., Gabrielson, E. W., Baylin, S. B., & Herman, J. G. (1998) · PubMed · Cited by 356 · see citing works
SIRT6 is responsible for more efficient DNA double-strand break repair in long-lived species
Tian, X., Firsanov, D., Zhang, Z., Cheng, Y., Luo, L., Tombline, G., Tan, R., Simon, M., Henderson, S., Steffan, J., et al. (2019) · Cell · doi:10.1016/j.cell.2019.03.043 · Cited by 353 · see citing works
Self-citationSong, Y. M., Lee, Y.-H., Kim, J.-W., Ham, D.-S., Kang, E.-S., Cha, B. S., Lee, H. C., & Lee, B.-W. (2015) · Autophagy · doi:10.4161/15548627.2014.984271 · Cited by 332 · see citing works
Hutchinson-Gilford Progeria Syndrome: A premature aging disease caused by LMNA gene mutations
Gonzalo, S., Kreienkamp, R., & Askjaer, P. (2017) · Ageing Research Reviews · doi:10.1016/j.arr.2016.06.007 · Cited by 324 · see citing works
Maier, M., Peng, Y., Jiang, L., Seabrook, T. J., Carroll, M. C., & Lemere, C. A. (2008) · Journal of Neuroscience · doi:10.1523/jneurosci.0829-08.2008 · Cited by 323 · see citing works
Muro, A. F., Chauhan, A. K., Gajovic, S., Iaconcig, A., Porro, F., Stanta, G., & Baralle, F. E. (2003) · The Journal of Cell Biology · doi:10.1083/jcb.200212079 · Cited by 319 · see citing works
Peloso, G. M., Auer, P. L., Bis, J. C., Voorman, A., Morrison, A. C., Stitziel, N. O., Brody, J. A., Khetarpal, S. A., Crosby, J. R., Fornage, M., et al. (2014) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2014.01.009 · Cited by 309 · see citing works
α-Ketoglutarate Accelerates the Initial Differentiation of Primed Human Pluripotent Stem Cells
TeSlaa, T., Chaikovsky, A. C., Lipchina, I., Escobar, S. L., Hochedlinger, K., Huang, J., Graeber, T. G., Braas, D., & Teitell, M. A. (2016) · Cell Metabolism · doi:10.1016/j.cmet.2016.07.002 · Cited by 287 · see citing works
Angelantonio, E. D., Thompson, S. G., Kaptoge, S. K., Moore, C. S., Walker, M. R., Armitage, J., Ouwehand, W. H., Roberts, D. J., Danesh, J., Angelantonio, E. D., et al. (2017) · The Lancet · doi:10.1016/s0140-6736(17)31928-1 · Cited by 265 · see citing works
DJ-1 is critical for mitochondrial function and rescues PINK1 loss of function
Hao, L.-Y., Giasson, B. I., & Bonini, N. M. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0911175107 · Cited by 264 · see citing works
The Genetics of Aging: A Vertebrate Perspective
Singh, P. P., Demmitt, B. A., Nath, R. D., & Brunet, A. (2019) · Cell · doi:10.1016/j.cell.2019.02.038 · Cited by 259 · see citing works
Elahi, F. M., Casaletto, K. B., Joie, R. L., Walters, S. M., Harvey, D. J., Wolf, A. A., Edwards, L., Contreras, W. R., Karydas, A., Cobigo, Y., et al. (2019) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2019.09.004 · Cited by 250 · see citing works
Ferrucci, L., Giallauria, F., & Guralnik, J. M. (2008) · Radiologic Clinics of North America · doi:10.1016/j.rcl.2008.07.005 · Cited by 249 · see citing works
Role of sirtuins in lifespan regulation is linked to methylation of nicotinamide
Schmeisser, K., Mansfeld, J., Kuhlow, D., Weimer, S., Priebe, S., Heiland, I., Birringer, M., Groth, M., Segref, A., Kanfi, Y., et al. (2013) · Nature Chemical Biology · doi:10.1038/nchembio.1352 · Cited by 236 · see citing works
Predicting age from the transcriptome of human dermal fibroblasts
Fleischer, J. G., Schulte, R., Tsai, H. H., Tyagi, S., Ibarra, A., Shokhirev, M. N., Huang, L., Hetzer, M. W., & Navlakha, S. (2018) · Genome Biology · doi:10.1186/s13059-018-1599-6 · Cited by 232 · see citing works
Self-citationUbaida‐Mohien, C., Lyashkov, A. E., González‐Freire, M., Tharakan, R., Shardell, M. D., Moaddel, R., Semba, R. D., Chia, C. W., Gorospe, M., Sen, R., et al. (2019) · eLife · doi:10.7554/elife.49874 · Cited by 232 · see citing works
Tuttle, C. S. L., Waaijer, M. E. C., Slee‐Valentijn, M. S., Stijnen, T., Westendorp, R., & Maier, A. B. (2020) · Aging Cell · doi:10.1111/acel.13083 · Cited by 211 · see citing works
The Human Ageing Genomic Resources: online databases and tools for biogerontologists
de Magalhães, J. P., Budovsky, A., Lehmann, G., Cósta, J., Li, Y., Fraifeld, V. E., & Church, G. M. (2008) · Aging Cell · doi:10.1111/j.1474-9726.2008.00442.x · Cited by 189 · see citing works
Exercise increases circulating GDF15 in humans
Kleinert, M., Clemmensen, C., Sjøberg, K. A., Carl, C. S., Jeppesen, J. F., Wojtaszewski, J. F. P., Kiens, B., & Richter, E. A. (2018) · Molecular Metabolism · doi:10.1016/j.molmet.2017.12.016 · Cited by 186 · see citing works
Enroth, S., Johansson, Å., Enroth, S. B., & Gyllensten, U. B. (2014) · Nature Communications · doi:10.1038/ncomms5684 · Cited by 176 · see citing works
Quantitative proteomic analysis of age-related changes in human cerebrospinal fluid
Zhang, J., Goodlett, D. R., Peskind, E. R., Quinn, J. F., Zhou, Y. F., Wang, Q., Pan, C., Yi, E. C., Eng, J. K., Aebersold, R. H., et al. (2004) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2004.03.012 · Cited by 167 · see citing works
The Business of Anti-Aging Science
de Magalhães, J. P., Stevens, M., & Thornton, D. (2017) · Trends in biotechnology · doi:10.1016/j.tibtech.2017.07.004 · Cited by 167 · see citing works
Alpha-ketoglutarate extends Drosophila lifespan by inhibiting mTOR and activating AMPK
Su, Y., Wang, T., Wu, N., Li, D., Fan, X., Xu, Z., Mishra, S. K., & Yang, M. (2019) · Aging · doi:10.18632/aging.102045 · Cited by 165 · see citing works
Sun, W., Funakoshi, H., & Nakamura, T. (2002) · Journal of Neuroscience · doi:10.1523/jneurosci.22-15-06537.2002 · Cited by 164 · see citing works
Turning back time with emerging rejuvenation strategies
Mahmoudi, S., Xu, L., & Brunet, A. (2018) · Nature Cell Biology · doi:10.1038/s41556-018-0206-0 · Cited by 163 · see citing works
Lack of fibulin-3 causes early aging and herniation, but not macular degeneration in mice
McLaughlin, P. J., Bakall, B., Choi, J., Liu, Z., Sasaki, T., Davis, E. C., Marmorstein, A. D., & Marmorstein, L. Y. (2007) · Human Molecular Genetics · doi:10.1093/hmg/ddm264 · Cited by 160 · see citing works
Deletion of Macrophage LDL Receptor–Related Protein Increases Atherogenesis in the Mouse
Overton, C. D., Yancey, P. G., Major, A. S., Linton, M. F., & Fazio, S. (2007) · Circulation Research · doi:10.1161/01.res.0000260204.40510.aa · Cited by 159 · see citing works
The Human Muscle Proteome in Aging
Gelfi, C., Viganò, A., Ripamonti, M., Pontoglio, A., Begum, S., Pellegrino, M. A., Grassi, B., Bottinelli, R., Wait, R., & Cerretelli, P. (2006) · Journal of Proteome Research · doi:10.1021/pr050414x · Cited by 154 · see citing works
Identification of susceptibility loci for colorectal cancer in a genome-wide meta-analysis
Whiffin, N., Hosking, F. J., Farrington, S. M., Palles, C., Dobbins, S. E., Zgaga, L., Lloyd, A., Kinnersley, B., Gorman, M., Tenesa, A., et al. (2014) · Human Molecular Genetics · doi:10.1093/hmg/ddu177 · Cited by 154 · see citing works
Extracellular matrix alterations in senescent cells and their significance in tissue homeostasis
Mavrogonatou, E., Pratsinis, H., Papadopoulou, A., Karamanos, N. K., & Kletsas, D. (2019) · Matrix Biology · doi:10.1016/j.matbio.2017.10.004 · Cited by 153 · see citing works
Su, S.-C., Lin, C.-W., Yang, W.-E., Fan, W.-L., & Yang, S.-F. (2016) · Expert Opinion on Therapeutic Targets · doi:10.1517/14728222.2016.1113260 · Cited by 145 · see citing works
Circulating Proteomic Signatures of Chronological Age
Menni, C., Kiddle, S. J., Mangino, M., Viñuela, A., Psatha, M., Steves, C., Sattlecker, M., Buil, A., Newhouse, S., Nelson, S., et al. (2015) · The Journals of Gerontology: Series A · doi:10.1093/gerona/glu121 · Cited by 144 · see citing works
GLAD4U: deriving and prioritizing gene lists from PubMed literature
Jourquin, J., Duncan, D. T., Shi, Z., & Zhang, B. (2012) · BMC Genomics · doi:10.1186/1471-2164-13-s8-s20 · Cited by 137 · see citing works
SILAC Analysis Reveals Increased Secretion of Hemostasis-Related Factors by Senescent Cells
Wiley, C. D., Liu, S., Limbad, C., Zawadzka, A. M., Beck, J., Demaria, M., Artwood, R., Alimirah, F., Lopez-Dominguez, J.-A., Kuehnemann, C., et al. (2019) · Cell Reports · doi:10.1016/j.celrep.2019.08.049 · Cited by 137 · see citing works
The Proteomics Approach to Find Biomarkers in Gastric Cancer
Ryu, J. W., Kim, H. J., Lee, Y., Myong, N. H., Hwang, C., Lee, G. S., & Yom, H. C. (2003) · Journal of Korean Medical Science · doi:10.3346/jkms.2003.18.4.505 · Cited by 135 · see citing works
Age-Related Differences in Plasma Proteins: How Plasma Proteins Change from Neonates to Adults
Ignjatovic, V., Lai, C., Summerhayes, R., Mathesius, U., Tawfilis, S., Perugini, M. A., & Monagle, P. (2011) · PLoS ONE · doi:10.1371/journal.pone.0017213 · Cited by 132 · see citing works
Synergistic Effects of GDNF and VEGF on Lifespan and Disease Progression in a Familial ALS Rat Model
Krakora, D., Mulcrone, P. L., Meyer, M., Lewis, C. M., Bernau, K., Gowing, G., Zimprich, C., Aebischer, P., Svendsen, C. N., & Suzuki, M. (2013) · Molecular Therapy · doi:10.1038/mt.2013.108 · Cited by 130 · see citing works
Giant tortoise genomes provide insights into longevity and age-related disease
Quesada, V., Freitas‐Rodríguez, S., Miller, J. M., Pérez-Silva, J. G., Jiang, Z.-F., Tapia, W., Santiago‐Fernández, O., Campos-Iglesias, D., Kuderna, L. F. K., Quinzin, M. C., et al. (2018) · Nature Ecology & Evolution · doi:10.1038/s41559-018-0733-x · Cited by 127 · see citing works
The Demographic and Biomedical Case for Late-Life Interventions in Aging
Rae, M. J., Butler, R. N., Campisi, J., de Grey, A. D. N. J., Finch, C. E., Gough, M. S., Martin, G. M., Vijg, J., Perrott, K. M., & Logan, B. J. (2010) · Science Translational Medicine · doi:10.1126/scitranslmed.3000822 · Cited by 125 · see citing works
Age- and tissue-specific expression of senescence biomarkers in mice.
Hudgins, A. D., Tazearslan, C., Tare, A., Zhu, Y., Huffman, D., & Suh, Y. (2018) · Frontiers in Genetics · doi:10.3389/fgene.2018.00059 · Cited by 124 · see citing works
Ding, X., Ji, J. F., Jiang, J., Cai, Q., Wang, C., Shi, M., Yu, Y., Zhu, Z., & Zhang, J. (2018) · Cell Death and Disease · doi:10.1038/s41419-018-0922-1 · Cited by 124 · see citing works
Ren, J. T., Yang, L., Zhu, L., Xu, X., Ceylan, A. F., Guo, W., Yang, J. Z., & Zhang, Y. (2017) · Aging Cell · doi:10.1111/acel.12616 · Cited by 122 · see citing works
Bathke, J., Konzer, A., Remes, B., McIntosh, M., & Klug, G. (2019) · BMC Genomics · doi:10.1186/s12864-019-5749-3 · Cited by 119 · see citing works
Bektas, A., Schurman, S. H., Gonzalez-Freire, M., Dunn, C. A., Singh, A. K., Macian, F., Cuervo, A. M., Sen, R., & Ferrucci, L. (2019) · Aging · doi:10.18632/aging.102438 · Cited by 116 · see citing works
Park, J., Baik, S. H., Han, S., Cho, H. J., Choi, H., Kim, H. J., Choi, H., Lee, W., Kim, D. K., & Mook‐Jung, I. (2016) · Aging Cell · doi:10.1111/acel.12530 · Cited by 115 · see citing works
Lechner, J., Chen, M., Hogg, R. E., Tóth, L., Silvestri, G., Chakravarthy, U., & Xu, H. (2016) · Immunity & Ageing · doi:10.1186/s12979-016-0060-5 · Cited by 113 · see citing works
EGF signalling activates the ubiquitin proteasome system to modulate C. elegans lifespan
Liu, G., Rogers, J. V., Murphy, C. T., & Rongo, C. (2011) · The EMBO Journal · doi:10.1038/emboj.2011.195 · Cited by 110 · see citing works
Age-Dependent Changes in the Cerebrospinal Fluid Proteome by Slow Off-Rate Modified Aptamer Array
Baird, G. S., Nelson, S. K., Keeney, T. R., Stewart, A., Williams, S., Kraemer, S., Peskind, E. R., & Montine, T. J. (2012) · The American Journal of Pathology · doi:10.1016/j.ajpath.2011.10.024 · Cited by 110 · see citing works
hNAG-1 increases lifespan by regulating energy metabolism and insulin/IGF-1/mTOR signaling
Wang, X., Chrysovergis, K., Kosak, J., Kissling, G., Streicker, M., Moser, G., Li, R., & Eling, T. E. (2014) · Aging · doi:10.18632/aging.100687 · Cited by 106 · see citing works
The anti-inflammatory Annexin A1 induces the clearance and degradation of the amyloid-β peptide
Ries, M., Loiola, R. A., Shah, U. N., Gentleman, S., Solito, E., & Sastre, M. (2016) · Journal of Neuroinflammation · doi:10.1186/s12974-016-0692-6 · Cited by 106 · see citing works
Tin, A., Yu, B., Ma, J., Masushita, K., Daya, N., Hoogeveen, R. C., Ballantyne, C. M., Couper, D., Rebholz, C. M., Grams, M. E., et al. (2019) · The Journal of Applied Laboratory Medicine · doi:10.1373/jalm.2018.027086 · Cited by 106 · see citing works
Ayyadevara, S., Engle, M. R., Singh, S. P., Dandapat, A., Lichti, C. F., Beneš, H., Reis, R. J. S., Liebau, E., & Zimniak, P. (2005) · Aging Cell · doi:10.1111/j.1474-9726.2005.00168.x · Cited by 103 · see citing works
Hennrich, M. L., Romanov, N., Horn, P., Jaeger, S., Eckstein, V., Steeples, V., Ye, F., Ding, X., Poisa-Beiro, L., Lai, M. C., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-06353-4 · Cited by 101 · see citing works
The human urinary proteome reveals high similarity between kidney aging and chronic kidney disease
Zürbig, P., Decramer, S., Dakna, M., Siwy, J., Good, D. M., Coon, J. J., Bandin, F., Mischak, H., Bascands, J., & Schanstra, J. P. (2009) · PROTEOMICS · doi:10.1002/pmic.200800560 · Cited by 100 · see citing works
Ailshire, J., Beltrán‐Sánchez, H., & Crimmins, E. M. (2014) · The Journals of Gerontology Series A · doi:10.1093/gerona/glu124 · Cited by 97 · see citing works
Recurring exon deletions in the HP (haptoglobin) gene contribute to lower blood cholesterol levels
Boettger, L. M., Salem, R. M., Handsaker, R. E., Peloso, G. M., Kathiresan, S., Hirschhorn, J. N., & McCarroll, S. A. (2016) · Nature Genetics · doi:10.1038/ng.3510 · Cited by 97 · see citing works
GSTP1Methylation and Protein Expression in Prostate Cancer: Diagnostic Implications
Martignano, F., Gurioli, G., Salvi, S., Calistri, D., Costantini, M., Gunelli, R., Giorgi, U. D., Foca, F., & Casadio, V. (2016) · Disease Markers · doi:10.1155/2016/4358292 · Cited by 97 · see citing works
Iwasa, H., Yu, S., Xue, J., & Driscoll, M. (2010) · Aging Cell · doi:10.1111/j.1474-9726.2010.00575.x · Cited by 96 · see citing works
Brankatschk, M., Dunst, S., Nemetschke, L., & Eaton, S. (2014) · eLife · doi:10.7554/elife.02862 · Cited by 95 · see citing works
He, S., Li, X., Li, R., Fang, L., Sun, L., Wang, Y., & Wu, M. (2016) · PLoS Pathogens · doi:10.1371/journal.ppat.1005743 · Cited by 93 · see citing works
Revamping the evolutionary theories of aging
Johnson, A. A., Shokhirev, M. N., & Shoshitaishvili, B. (2019) · Ageing Research Reviews · doi:10.1016/j.arr.2019.100947 · Cited by 93 · see citing works
Self-citationLavara-Culebras, E., & Paricio, N. (2007) · Gene · doi:10.1016/j.gene.2007.06.013 · Cited by 92 · see citing works
Wang, J., Wang, B., Ren, H., & Chen, W. (2018) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2018.12.114 · Cited by 91 · see citing works
Uemura, K., Doi, T., Lee, S., & Shimada, H. (2018) · Journal of the American Medical Directors Association · doi:10.1016/j.jamda.2018.06.011 · Cited by 90 · see citing works
Rahkonen, O. P., Su, M., Hakovirta, H. H., Koskivirta, I., Hormuzdi, S. G., VUORIO, E. I., BORNSTEIN, P. K., & Penttinen, R. P. K. (2003) · Circulation Research · doi:10.1161/01.res.0000108263.74520.15 · Cited by 83 · see citing works
Tseng, W.-Y., Huang, Y.-S., Clanchy, F. I. L., McNamee, K., Perocheau, D. P. B., Ogbechi, J., Luo, S., Feldmann, M., McCann, F. E., & Williams, R. O. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1909687116 · Cited by 82 · see citing works
PLAUR polymorphisms are associated with asthma, PLAUR levels, and lung function decline
Barton, S. J., Koppelman, G. H., Vonk, J. M., Browning, C. A., Nolte, I. M., Stewart, C. E., Bainbridge, S., Mutch, S., Rose-Zerilli, M. J. J., Postma, D. S., et al. (2009) · Journal of Allergy and Clinical Immunology · doi:10.1016/j.jaci.2009.03.014 · Cited by 81 · see citing works
Staunton, L., Zweyer, M., Swandulla, D., & Ohlendieck, K. (2012) · International Journal of Molecular Medicine · doi:10.3892/ijmm.2012.1056 · Cited by 78 · see citing works
Waldera-Lupa, D. M., Kalfalah, F. M., Florea, A., Sass, S., Kruse, F., Rieder, V., Tigges, J., Fritsche, E., Krutmann, J., Busch, H. S., et al. (2014) · Aging · doi:10.18632/aging.100698 · Cited by 77 · see citing works
Meta-analysis of genome-wide association data identifies novel susceptibility loci for obesity
Pei, Y., Zhang, L., Liu, Y., Li, J. M., Shen, H., Liu, Y.-Z., Tian, Q., He, H., Wu, S., Ran, S., et al. (2013) · Human Molecular Genetics · doi:10.1093/hmg/ddt464 · Cited by 77 · see citing works
Collagenase‐resistant collagen promotes mouse aging and vascular cell senescence
Vafaie, F., Yin, H. R., O’Neil, C. H., Nong, Z., Watson, A., Arpino, J., Chu, M. W. A., Holdsworth, D. W., Gros, R., & Pickering, J. G. (2013) · Aging Cell · doi:10.1111/acel.12155 · Cited by 73 · see citing works
Naked mole rat cells display more efficient excision repair than mouse cells
Evdokimov, A. N., Kutuzov, M. M., Petruseva, I. O., Lukjanchikova, N., Kashina, E. V., Kolova, E., Zemerova, T., Romanenko, S. A., Perelman, P. L., Prokopov, D., et al. (2018) · Aging · doi:10.18632/aging.101482 · Cited by 73 · see citing works
Boraldi, F., Bini, L., Liberatori, S., Armini, A., PALLINI, V., Tiozzo, R., Pasquali‐Ronchetti, I., & Quaglino, D. (2003) · PROTEOMICS · doi:10.1002/pmic.200300386 · Cited by 71 · see citing works
Superior proteome stability in the longest lived animal
Treaster, S. B., Ridgway, I. D., Richardson, C. A., Gaspar, M. B., Chaudhuri, A. R., & Austad, S. N. (2013) · AGE · doi:10.1007/s11357-013-9597-9 · Cited by 66 · see citing works
Siglec receptors impact mammalian lifespan by modulating oxidative stress
Schwarz, F., Pearce, O. M. T., Wang, X., Samraj, A. N., Laubli, H. P., Garcia, J. O., Lin, H., Fu, X., Garcia-Bingman, A., Secrest, P., et al. (2015) · eLife · doi:10.7554/elife.06184 · Cited by 65 · see citing works
Species comparison of liver proteomes reveals links to naked mole-rat longevity and human aging
Heinze, I., Bens, M., Calzia, E., Holtze, S., Dakhovnik, O., Sahm, A., Kirkpatrick, J. M., Szafranski, K., Romanov, N., Sama, S. N., et al. (2018) · BMC Biology · doi:10.1186/s12915-018-0547-y · Cited by 65 · see citing works
Matrix metalloproteinase-12 is an essential mediator of acute and chronic arterial stiffening
Liu, S., Bae, Y., Yu, C. K., Monslow, J., Hawthorne, E. A., Castagnino, P. A., Branchetti, E., Ferrari, G. M., Damrauer, S. M., Puré, E., et al. (2015) · Scientific Reports · doi:10.1038/srep17189 · Cited by 63 · see citing works
Obesity shows preserved plasma proteome in large independent clinical cohorts
Cominetti, O., Galindo, A. N., Corthésy, J., Valsesia, A., Irincheeva, I., Kussmann, M., Saris, W. H. M., Astrup, A. V., McPherson, R., Harper, M., et al. (2018) · Scientific Reports · doi:10.1038/s41598-018-35321-7 · Cited by 63 · see citing works
Espín, R., Roca, F. J., Candel, S., Sepulcre, M. P., González‐Rosa, J. M., Alcaraz‐Pérez, F., Meseguer, J., Cayuela, M. L., Mercader, N., & Mulero, V. (2012) · Disease Models & Mechanisms · doi:10.1242/dmm.010249 · Cited by 62 · see citing works
Li, Y., & de Magalhães, J. P. (2011) · AGE · doi:10.1007/s11357-011-9361-y · Cited by 61 · see citing works
Bishop, J. R., Passos‐Bueno, M. R., Fong, L. G., Stanford, K. I., Gonzales, J. C., Yeh, E., Young, S. G., Bensadoun, A., Witztum, J. L., Esko, J. D., et al. (2010) · PLoS ONE · doi:10.1371/journal.pone.0013919 · Cited by 59 · see citing works
Mayer, R. L., Schwarzmeier, J. D., Gerner, M. C., Bileck, A., Mader, J. C., Meier, S. M., Gerner, S. M., Schmetterer, K. G., Pukrop, T., Reichle, A., et al. (2017) · Molecular & Cellular Proteomics · doi:10.1074/mcp.ra117.000425 · Cited by 59 · see citing works
Identification of COL1A1 as an invasion‑related gene in malignant astrocytoma
Sun, S., Wang, Y., Wu, Y., Gao, Y., Li, Q., Ayanlaja, A. A., Liu, X., Ji, G., Gao, J., Li, L., et al. (2018) · International Journal of Oncology · doi:10.3892/ijo.2018.4568 · Cited by 58 · see citing works
Zhang, Y., Xi, S., Chen, J., Zhou, D., Gao, H., Zhou, Z., Xu, L., & Chen, M. (2017) · Journal of Cancer · doi:10.7150/jca.21038 · Cited by 57 · see citing works
Plasma proteomic signature of the risk of developing mobility disability: A 9‐year follow‐up
Osawa, Y., Semba, R. D., Fantoni, G., Candia, J., Biancotto, A., Tanaka, T., Bandinelli, S., & Ferrucci, L. (2020) · Aging Cell · doi:10.1111/acel.13132 · Cited by 57 · see citing works
Age-associated changes in human tear proteome
Nättinen, J. E., Jylhä, A., Aapola, U., Mäkinen, P., Beuerman, R. W., Pietilä, J., Vaajanen, A., & Uusitalo, H. M. T. (2019) · Clinical Proteomics · doi:10.1186/s12014-019-9233-5 · Cited by 56 · see citing works
DJ-1 maintains energy and glucose homeostasis by regulating the function of brown adipose tissue
Wu, R., Liu, X., Sun, J., Chen, H., Ma, J., Dong, M., Peng, S., Wang, J., Ding, J., Li, D.-H., et al. (2017) · Cell Discovery · doi:10.1038/celldisc.2016.54 · Cited by 55 · see citing works
Fibrinogen gamma-A chain precursor in CSF: a candidate biomarker for Alzheimer's disease
Lee, J. W., Namkoong, H., Kim, H. K., Kim, S., Hwang, D. W., Na, H. R., Ha, S.-A., Kim, J.-R., & Kim, J. W. (2007) · BMC Neurology · doi:10.1186/1471-2377-7-14 · Cited by 54 · see citing works
Calpain Protects the Heart from Hemodynamic Stress
Taneike, M., Mizote, I., Morita, T., Watanabe, T., Hikoso, S., Yamaguchi, O., Takeda, T., Oka, T., Tamai, T., Oyabu, J., et al. (2011) · Journal of Biological Chemistry · doi:10.1074/jbc.m111.248088 · Cited by 54 · see citing works
Safe and Effective Sarcoma Therapy through Bispecific Targeting of EGFR and uPAR
Borgatti, A., Koopmeiners, J. S., Sarver, A. L., Winter, A. L., Stuebner, K., Todhunter, D., Rizzardi, A. E., Henriksen, J. C., Schmechel, S. C., Forster, C. L., et al. (2017) · Molecular Cancer Therapeutics · doi:10.1158/1535-7163.mct-16-0637 · Cited by 54 · see citing works
Increased VEGF‐A promotes multiple distinct aging diseases of the eye through shared pathomechanisms
Marneros, A. G. (2016) · EMBO Molecular Medicine · doi:10.15252/emmm.201505613 · Cited by 52 · see citing works
Narzo, A. D., Telesco, S., Brodmerkel, C. M., Argmann, C., Peters, L. A., Li, K., Kidd, B. A., Dudley, J. T., Cho, J. H., Schadt, E. E., et al. (2017) · PLoS Genetics · doi:10.1371/journal.pgen.1006565 · Cited by 51 · see citing works
Signorelli, M., Ayoglu, B., Johansson, C., Lochmüller, H., Straub, V. W., Francesco Muntoni, A., Niks, E. H., Tsonaka, R., Persson, A. B., Aartsma-Rus, A. M., et al. (2019) · Journal of Cachexia Sarcopenia and Muscle · doi:10.1002/jcsm.12517 · Cited by 51 · see citing works
Liu, X., Ma, D., Jing, X., Wang, B., Yang, W., & Qiu, W. (2014) · Medical Oncology · doi:10.1007/s12032-014-0392-y · Cited by 50 · see citing works
Bakun, M., Senatorski, G., Rubel, T., Łukasik, A., Zielenkiewicz, P., Dadlez, M., & Pączek, L. (2013) · AGE · doi:10.1007/s11357-013-9562-7 · Cited by 50 · see citing works
Defective skeletal muscle growth in lamin A/C-deficient mice is rescued by loss of Lap2α
Cohen, T. V., Gnocchi, V. F., Cohen, J. E., Phadke, A., Liu, H., Ellis, J. A., Foisner, R., Stewart, C. L., Zammit, P. S., & Partridge, T. A. (2013) · Human Molecular Genetics · doi:10.1093/hmg/ddt135 · Cited by 50 · see citing works
Mitochondrial metabolites extend lifespan
Mishur, R. J., Khan, M. H., Munkácsy, E., Sharma, L. K., Bokov, A. F., Beam, H., Radetskaya, O., Borror, M. B., Lane, R. K., Bai, Y., et al. (2016) · Aging Cell · doi:10.1111/acel.12439 · Cited by 50 · see citing works
Wang, K., Wang, X., Zheng, S., Niu, Y., Zheng, W., Xi, Q., Li, Z., Luo, J., Jiang, W., Zhou, X., et al. (2018) · Journal of Translational Medicine · doi:10.1186/s12967-018-1669-2 · Cited by 49 · see citing works
The human olfactory cleft mucus proteome and its age-related changes
Yoshikawa, K., Wang, H., Jaén, C., Haneoka, M., Saito, N., Nakamura, J., Adappa, N. D., Cohen, N. A., & Dalton, P. (2018) · Scientific Reports · doi:10.1038/s41598-018-35102-2 · Cited by 49 · see citing works
Teng, X.-M., Ji, C., Zhong, H., Zheng, D., Ni, R., Hill, D. J., Xiong, S., Fan, G., Greer, P. A., Shen, Z., et al. (2019) · Diabetologia · doi:10.1007/s00125-019-4828-y · Cited by 49 · see citing works
Plasma Markers of Inflammation Linked to Clinical Progression and Decline During Preclinical AD
Gross, A. L., Walker, K. A., Moghekar, A. R., Pettigrew, C., Soldan, A., Albert, M. S., & Walston, J. D. (2019) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2019.00229 · Cited by 49 · see citing works
Proteomic Analysis of the Aging-related Proteins in Human Normal Colon Epithelial Tissue
Li, M., Xiao, Z., Chen, Z., Li, J., Li, C., Zhang, P., & Li, M. (2007) · BMB Reports · doi:10.5483/bmbrep.2007.40.1.072 · Cited by 47 · see citing works
Complement C4A and C4B Gene Copy Number Study in Alzheimer's Disease Patients
Zorzetto, M., Datturi, F., Divizia, L., Pistono, C., Campo, I., Silvestri, A. D., Cuccia, M., & Ricevuti, G. (2016) · Current Alzheimer Research · doi:10.2174/1567205013666161013091934 · Cited by 45 · see citing works
Hedgehog Signaling Modulates Glial Proteostasis and Lifespan
Rallis, A., Navarro, J. A., Raß, M., Hu, A., Birman, S., Schneuwly, S., & Thérond, P. P. (2020) · Cell Reports · doi:10.1016/j.celrep.2020.02.006 · Cited by 44 · see citing works
Gellert, P. R., von Berenberg, P., Oedekoven, M., Klemt, M., Zwillich, C., Hörter, S., Kuhlmey, A., & Dräger, D. (2017) · The Journals of Gerontology Series A · doi:10.1093/gerona/glx136 · Cited by 42 · see citing works
Targeting the phospholipase A2 receptor ameliorates premature aging phenotypes
Griveau, A., Wiel, C., Calvé, B. L., Ziegler, D. V., Djebali, S., Warnier, M., Martin, N., Marvel, J., Vindrieux, D., Bergö, M. O., et al. (2018) · Aging Cell · doi:10.1111/acel.12835 · Cited by 41 · see citing works
Zhang, L., Connelly, J. J., Peppel, K., Brian, L., Shah, S. H., Nelson, S. C., Crosslin, D. R., Wang, T., Allen, A. S., Kraus, W. E., et al. (2010) · Human Molecular Genetics · doi:10.1093/hmg/ddq172 · Cited by 40 · see citing works
Park, J. W., Ji, Y. I., Choi, Y.-H., Kang, M.-Y., Jung, E. H., Cho, H.-Y., Cho, H.-Y., Kang, B. K., Joung, Y. S., Kim, D.-H., et al. (2009) · Experimental & Molecular Medicine · doi:10.3858/emm.2009.41.11.083 · Cited by 37 · see citing works
Ayobahan, S. U., Eilebrecht, S., Baumann, L., Teigeler, M., Hollert, H., Kalkhof, S., Eilebrecht, E., & Schäfers, C. (2019) · Chemosphere · doi:10.1016/j.chemosphere.2019.124970 · Cited by 36 · see citing works
Understanding Ovarian Cancer: iTRAQ-Based Proteomics for Biomarker Discovery
Światły‐Błaszkiewicz, A., Horała, A., Matysiak, J., Hajduk, J., Nowak‐Markwitz, E., & Kokot, Z. J. (2018) · International Journal of Molecular Sciences · doi:10.3390/ijms19082240 · Cited by 34 · see citing works
High LAMC1 expression in glioma is associated with poor prognosis
Liu, J., Liu, D., Yang, Z., & Yang, Z. (2019) · OncoTargets and Therapy · doi:10.2147/ott.s205333 · Cited by 34 · see citing works
Lu, J., Huang, Y., Wang, Y., Li, Y., Zhang, Y., Wu, J., Zhao, F., Meng, S., Yu, X., Ma, Q., et al. (2012) · PLoS ONE · doi:10.1371/journal.pone.0039726 · Cited by 33 · see citing works
Uchida, Y., Sugiura, S., Ueda, H. H., Nakashima, T., Ando, F., & Shimokata, H. (2014) · Immunity & Ageing · doi:10.1186/s12979-014-0018-4 · Cited by 32 · see citing works
Pang, Y., Liang, M.-T., Gong, Y., Yang, Y., Bu, P., Zhang, M., & Yao, H.-C. (2018) · Inflammation · doi:10.1007/s10753-018-0747-1 · Cited by 32 · see citing works
Graßmann, F., Cantsilieris, S., Schulz-Kuhnt, A.-S., White, S. J., Richardson, A. J., Hewitt, A. W., Vote, B. J. T., Schmied, D., Guymer, R. H., Weber, B. H. F., et al. (2016) · Journal of Neuroinflammation · doi:10.1186/s12974-016-0548-0 · Cited by 29 · see citing works
Tan, J., Qian, X., Song, B., An, X., Cai, T., Zuo, Z., Ding, D., Lu, Y., & Li, H. (2018) · Oncology Reports · doi:10.3892/or.2018.6428 · Cited by 25 · see citing works
Lind, L., Sundström, J., Larsson, A. O., Lampa, E., Ärnlöv, J., & Ingelsson, E. (2019) · PLoS ONE · doi:10.1371/journal.pone.0212060 · Cited by 25 · see citing works
Increased lability of triosephosphate isomerase in progeria and Werner's syndrome fibroblasts
Tollefsbol, T. O., Zaun, M. R., & Gracy, R. W. (1982) · Mechanisms of Ageing and Development · doi:10.1016/0047-6374(82)90061-6 · Cited by 24 · see citing works
Müller, T., Jung, K., Ullrich, A., Schrötter, A., Meyer, H. E., Stephan, C., Egensperger, R., & Marcus, K. (2008) · Current Alzheimer Research · doi:10.2174/156720508786898488 · Cited by 24 · see citing works
Development of a serum profile for healthy aging
Study, F. T. L. H. A., Byerley, L. O., Leamy, L. J., Tam, S. W., Chou, C.-W., & Ravussin, É. (2010) · AGE · doi:10.1007/s11357-010-9146-8 · Cited by 23 · see citing works
Plasma Fibrinogen and sP-Selectin are Associated with the Risk of Lung Cancer in a Prospective Study
Grafetstätter, M., Hüsing, A., Maldonado, S. G., Sookthai, D., Johnson, T., Pletsch‐Borba, L., Katzke, V. A., Hoffmeister, M., Bugert, P., Kaaks, R., et al. (2019) · Cancer Epidemiology Biomarkers & Prevention · doi:10.1158/1055-9965.epi-18-1285 · Cited by 23 · see citing works
DNA methylation age is associated with an altered hemostatic profile in a multiethnic meta-analysis
Ward-Caviness, C. K., Huffman, J. E., Everett, K., Germain, M., van Dongen, J., Hill, W. D., Jhun, M. A., Brody, J. A., Ghanbari, M., Du, L., et al. (2018) · Blood · doi:10.1182/blood-2018-02-831347 · Cited by 21 · see citing works
Self-citationMMP12 Deletion Preferentially Attenuates Axial Stiffening of Aging Arteries
Brankovic, S. A., Hawthorne, E. A., Yu, X., Zhang, Y., & Assoian, R. K. (2019) · Journal of Biomechanical Engineering · doi:10.1115/1.4043322 · Cited by 21 · see citing works
Hugosson, F., Sjögren, C., Birve, A., Hedlund, L., Eriksson, T., & Palmer, R. H. (2014) · PLoS ONE · doi:10.1371/journal.pone.0112250 · Cited by 19 · see citing works
Smed-egfr-4 is required for planarian eye regeneration
Emili, E., Pallarès, M. E., Romero, R., & Cebrià, F. (2019) · The International Journal of Developmental Biology · doi:10.1387/ijdb.180361fc · Cited by 19 · see citing works
Role of VEGF gene variability in longevity: A lesson from the Italian population
Bo, R. D., Ghezzi, S., Scarlato, M., Albani, D., Galimberti, D., Lucca, U., Tettamanti, M., Scarpini, E. A., Forloni, G., Bresolin, N., et al. (2007) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2007.05.003 · Cited by 17 · see citing works
Kivinen, N., Felszeghy, S., Kinnunen, A. I., Setälä, N. L., Aikio, M., Kinnunen, K., Sironen, R. K., Pihlajaniemi, T. A., Kauppinen, A., & Kaarniranta, K. (2016) · Biogerontology · doi:10.1007/s10522-016-9647-7 · Cited by 17 · see citing works
Gene expression-based analysis identified NTNG1 and HGF as biomarkers for diabetic kidney disease
Tang, Y., Dong, X., Zeng, Z., & Feng, Z. (2020) · Medicine · doi:10.1097/md.0000000000018596 · Cited by 17 · see citing works
Vasunilashorn, S. M., Ferrucci, L., Crimmins, E. M., Bandinelli, S., Guralnik, J. M., & Patel, K. V. (2013) · Journal of the American Geriatrics Society · doi:10.1111/jgs.12446 · Cited by 16 · see citing works
Moeller, M., Pink, C., Endlich, N., Endlich, K., Grabe, H. J., Völzke, H., Dörr, M., Nauck, M. A., Lerch, M. M., Köhling, R., et al. (2017) · PLoS ONE · doi:10.1371/journal.pone.0175909 · Cited by 15 · see citing works
A Reassessment of Genes Modulating Aging in Mice Using Demographic Measurements of the Rate of Aging
de Magalhães, J. P., Thompson, L. M., de Lima, I., Gaskill, D., Li, X., Thornton, D., Yang, C., & Palmer, D. H. (2018) · Genetics · doi:10.1534/genetics.118.300821 · Cited by 15 · see citing works
Ji, D., Zhang, P., Ma, W., Fei, Y., Xue, W., Wang, Y., Zhang, X., Zhou, H., & Zhao, Y. (2019) · Oncogene · doi:10.1038/s41388-019-0998-9 · Cited by 14 · see citing works
Zhang, P., Ji, D., Hu, X., Ni, H., Ma, W., Zhang, X., Liao, S., Zeng, Z., Zhao, Y., & Zhou, H. (2018) · Acta Biochimica et Biophysica Sinica · doi:10.1093/abbs/gmy085 · Cited by 11 · see citing works
Chronic myeloid leukemia stem cells require cell-autonomous pleiotrophin signaling
Himburg, H. A., Roos, M. M., Fang, T., Zhang, Y., Termini, C. M., Schlussel, L., Kim, M., Pang, A., Kan, J., Zhao, L., et al. (2019) · Journal of Clinical Investigation · doi:10.1172/jci129061 · Cited by 11 · see citing works
Characteristics of age-dependent changes in urine proteome in healthy men
Pastushkova, L. K., Kononikhin, A. S., Tiys, E., Доброхотов, И. В., Иванисенко, В. А., Николаев, Е. Н., Larina, I. M., & Popov, I. A. (2016) · Advances in Gerontology · doi:10.1134/s2079057016020107 · Cited by 8 · see citing works
Waaijer, M. E. C., Tuttle, C. S. L., Slee-Valentijn, M. S., Stijnen, T., Westendorp, R. G. J., & Maier, A. B. (2018) · Innovation in Aging · doi:10.1093/geroni/igy023.356 · Cited by 8 · see citing works
Lipid Hydrolase Enzymes: Pragmatic Prolongevity Targets for Improved Human Healthspan?
Johnson, A. A. (2019) · Rejuvenation Research · doi:10.1089/rej.2019.2211 · Cited by 7 · see citing works
Self-citationTAME: A Genuinely Good Use of 75 Million Dollars
de Grey, A. D. N. J. (2019) · Rejuvenation Research · doi:10.1089/rej.2019.2274 · Cited by 7 · see citing works
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Measuring biological age using omics data
Rutledge, J., Oh, H., & Wyss-Coray, T. (2022) · Nature Reviews Genetics · doi:10.1038/s41576-022-00511-7 · Cited by 570 · see citing works
Self-citationAging Hallmarks and the Role of Oxidative Stress
Maldonado, E., Morales, S., Urbina, F., & Solari, A. (2023) · Antioxidants · doi:10.3390/antiox12030651 · Cited by 454 · see citing works
Bao, H., Cao, J., Chen, M., Min, C., Chen, W., Chen, X., Chen, Y., Chen, Y., Chen, Y., Chen, Z., et al. (2023) · Science China Life Sciences · doi:10.1007/s11427-023-2305-0 · Cited by 389 · see citing works
Argentieri, M. A., Xiao, S., Bennett, D., Winchester, L. M., Nevado‐Holgado, A. J., Ghose, U., Albukhari, A., Yao, P., Mazidi, M., Lv, J., et al. (2024) · Nature Medicine · doi:10.1038/s41591-024-03164-7 · Cited by 378 · see citing works
Advances and Utility of the Human Plasma Proteome
Deutsch, E. W., Omenn, G. S., Sun, Z., Maes, M., Pernemalm, M., Palaniappan, K. K., Letunica, N., Vandenbrouck, Y., Brun, V., Tao, S., et al. (2021) · Journal of Proteome Research · doi:10.1021/acs.jproteome.1c00657 · Cited by 238 · see citing works
Warinner, C., Richter, K. K., & Collins, M. J. (2022) · Chemical Reviews · doi:10.1021/acs.chemrev.1c00703 · Cited by 162 · see citing works
Proteomics in aging research: A roadmap to clinical, translational research
Moaddel, R., Ubaida‐Mohien, C., Tanaka, T., Lyashkov, A., Basisty, N., Schilling, B., Semba, R. D., Franceschi, C., Gorospe, M., & Ferrucci, L. (2021) · Aging Cell · doi:10.1111/acel.13325 · Cited by 139 · see citing works
The Role of GDF15 as a Myomitokine
Johann, K., Kleinert, M., & Klaus, S. (2021) · Cells · doi:10.3390/cells10112990 · Cited by 121 · see citing works
Cancer Treatment-Induced Accelerated Aging in Cancer Survivors: Biology and Assessment
Wang, S., Prizment, A. E., Thyagarajan, B., & Blaes, A. H. (2021) · Cancers · doi:10.3390/cancers13030427 · Cited by 116 · see citing works
Epigenetic aging: Biological age prediction and informing a mechanistic theory of aging
Li, A., Koch, Z., & Ideker, T. (2022) · Journal of Internal Medicine · doi:10.1111/joim.13533 · Cited by 118 · see citing works
Lehallier, B., Shokhirev, M. N., Wyss‐Coray, T., & Johnson, A. A. (2020) · Aging Cell · doi:10.1111/acel.13256 · Cited by 106 · see citing works
Self-citationRivero-Segura, N. A., Bello-Chavolla, O. Y., Barrera-Vázquez, O., Gutiérrez-Robledo, L., & Gómez-Verján, J. C. (2020) · Ageing Research Reviews · doi:10.1016/j.arr.2020.101164 · Cited by 76 · see citing works
Vitamin D as a Shield against Aging
Fantini, C., Corinaldesi, C., Lenzi, A., Migliaccio, S., & Crescioli, C. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24054546 · Cited by 96 · see citing works
Aging biomarkers and the brain
Higgins‐Chen, A., Thrush, K., & Levine, M. E. (2021) · Seminars in Cell and Developmental Biology · doi:10.1016/j.semcdb.2021.01.003 · Cited by 86 · see citing works
Integrated Multi-Omics for Novel Aging Biomarkers and Antiaging Targets
Wu, L., Xie, X., Liang, T., Ma, J., Yang, L., Yang, J., Li, L., Xi, Y., Li, H., Zhang, J., et al. (2021) · Biomolecules · doi:10.3390/biom12010039 · Cited by 82 · see citing works
The ocular surface immune system through the eyes of aging
Galletti, J. G., & de Paiva, C. S. (2021) · The Ocular Surface · doi:10.1016/j.jtos.2021.02.007 · Cited by 76 · see citing works
Organ-specific biological clocks: Ageotyping for personalized anti-aging medicine
Prattichizzo, F., Frigé, C., Pellegrini, V., Scisciola, L., Santoro, A., Monti, D., Rippo, M. R., Ivanchenko, M., Olivieri, F., & Franceschi, C. (2024) · Ageing Research Reviews · doi:10.1016/j.arr.2024.102253 · Cited by 75 · see citing works
Turrini, S., Wong, B., Eldaief, M. C., Press, D. Z., Sinclair, D. A., Koch, G., Avenanti, A., & Santarnecchi, E. (2023) · Ageing Research Reviews · doi:10.1016/j.arr.2023.101939 · Cited by 75 · see citing works
Alcázar, J., Frandsen, U., Prokhorova, T. A., Kamper, R. S., Haddock, B., Aagaard, P., & Suetta, C. (2021) · Journal of Cachexia Sarcopenia and Muscle · doi:10.1002/jcsm.12823 · Cited by 67 · see citing works
Modeling the human aging transcriptome across tissues, health status, and sex
Shokhirev, M. N., & Johnson, A. A. (2020) · Aging Cell · doi:10.1111/acel.13280 · Cited by 64 · see citing works
Self-citationBiomarkers of ageing: Current state‐of‐art, challenges, and opportunities
Chen, R., Wang, Y., Zhang, S., Bulloch, G., Zhang, J., Liao, H., Shang, X., Clark, M., Peng, Q., Ge, Z., et al. (2023) · MedComm – Future Medicine · doi:10.1002/mef2.50 · Cited by 59 · see citing works
ATAC-clock: An aging clock based on chromatin accessibility
Morandini, F., Rechsteiner, C., Pérez, K., Praz, V., Garcia, G. L., Hinte, L. C., von Meyenn, F., & Ocampo, A. (2023) · GeroScience · doi:10.1007/s11357-023-00986-0 · Cited by 60 · see citing works
Markers of aging: Unsupervised integrated analyses of the human plasma proteome
Coenen, L., Lehallier, B., de Vries, H. E., & Middeldorp, J. (2023) · Frontiers in Aging · doi:10.3389/fragi.2023.1112109 · Cited by 50 · see citing works
Self-citationIntracellular to Interorgan Mitochondrial Communication in Striated Muscle in Health and Disease
Boardman, N. T., Trani, G., Scalabrin, M., Romanello, V., & Wüst, R. C. I. (2023) · Endocrine Reviews · doi:10.1210/endrev/bnad004 · Cited by 49 · see citing works
Takasugi, M., Nonaka, Y., Takemura, K., Yoshida, Y., Stein, F., Schwarz, J., Adachi, J., Satoh, J., Ito, S., Tombline, G., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-52845-x · Cited by 50 · see citing works
Tang, J., Yue, L., Xu, Y., Xu, F., Cai, X., Fu, Y., Miao, Z., Gou, W., Hu, W., Xue, Z., et al. (2025) · Nature Metabolism · doi:10.1038/s42255-024-01185-7 · Cited by 45 · see citing works
Al‐Mudares, F., Reddick, S. J., Ren, J. L., Venkatesh, A., Zhao, C., & Lingappan, K. (2020) · Frontiers in Medicine · doi:10.3389/fmed.2020.594137 · Cited by 43 · see citing works
Shokhirev, M. N., & Johnson, A. A. (2022) · Ageing Research Reviews · doi:10.1016/j.arr.2022.101721 · Cited by 42 · see citing works
Self-citationAge estimation from sleep studies using deep learning predicts life expectancy
Brink-Kjær, A., Leary, E. B., Sun, H., Westover, M. B., Stone, K. L., Peppard, P. E., Lane, N. E., Cawthon, P. M., Redline, S. S., Jennum, P., et al. (2022) · npj Digital Medicine · doi:10.1038/s41746-022-00630-9 · Cited by 37 · see citing works
Large language model-based biological age prediction in large-scale populations
Li, Y., Huang, Q. Z., Jiang, J., Du, X., Xiang, W., Zhang, S., Pan, Z., Zhao, L., Cui, Y., Ke, L., et al. (2025) · Nature Medicine · doi:10.1038/s41591-025-03856-8 · Cited by 37 · see citing works
Urinary peptidomic profiles to address age-related disabilities: a prospective population study
Martens, D. S., Thijs, L., Latosińska, A., Trenson, S., Siwy, J., Zhang, Z.-Y., Wang, C., Beige, J., Vlahou, A., Janssens, S. P., et al. (2021) · The Lancet Healthy Longevity · doi:10.1016/s2666-7568(21)00226-9 · Cited by 35 · see citing works
Microglial heterogeneity in aging and Alzheimer's disease: Is sex relevant?
Delage, C. I., Šimončičová, E., & Tremblay, M. (2021) · Journal of Pharmacological Sciences · doi:10.1016/j.jphs.2021.03.006 · Cited by 35 · see citing works
Marques, L., Johnson, A. A., & Stolzing, A. (2020) · Experimental Cell Research · doi:10.1016/j.yexcr.2020.112203 · Cited by 34 · see citing works
Self-citationProgrammed ageing: decline of stem cell renewal, immunosenescence, and Alzheimer's disease
Lathe, R., & Clair, D. S. (2023) · Biological Reviews of The Cambridge Philosophical Society · doi:10.1111/brv.12959 · Cited by 28 · see citing works
Multi-omics characterization of partial chemical reprogramming reveals evidence of cell rejuvenation
Mitchell, W., Goeminne, L. J., Tyshkovskiy, A., Zhang, S., Chen, J. Y., Paulo, J. A., Pierce, K. A., Choy, A. H., Clish, C. B., Gygi, S. P., et al. (2024) · eLife · doi:10.7554/elife.90579.3 · Cited by 33 · see citing works
Frailty and biological age. Which best describes our aging and longevity?
Félix, J., de Toda, I. M., Cerro, E. D., González-Sánchez, M., & la Fuente, M. D. (2024) · Molecular Aspects of Medicine · doi:10.1016/j.mam.2024.101291 · Cited by 34 · see citing works
Gyuricza, I. G., Chick, J. M., Keele, G. R., Deighan, A. G., Munger, S. C., Korstanje, R., Gygi, S. P., & Churchill, G. A. (2022) · Genome Research · doi:10.1101/gr.275672.121 · Cited by 35 · see citing works
Biomarkers of Aging and Relevant Evaluation Techniques: A Comprehensive Review
Xue, T., Zhu, Z., Wang, L., Li, C., Sun, L., Wang, W., & Gong, W. (2023) · Aging and Disease · doi:10.14336/ad.2023.00808-1 · Cited by 34 · see citing works
Utilization of Host and Microbiome Features in Determination of Biological Aging
Ratiner, K., Abdeen, S. K., Goldenberg, K., & Elinav, E. (2022) · Microorganisms · doi:10.3390/microorganisms10030668 · Cited by 27 · see citing works
Does Nrf2 Play a Role of a Master Regulator of Mammalian Aging?
Zinovkin, R. A., Kondratenko, N. D., & Zinovkina, L. A. (2022) · Biochemistry (Moscow) · doi:10.1134/s0006297922120045 · Cited by 27 · see citing works
Wang, S., Rao, Z., Cao, R., Blaes, A. H., Coresh, J., Deo, R., Dubin, R. F., Joshu, C. E., Lehallier, B., Lutsey, P. L., et al. (2024) · PLoS Medicine · doi:10.1371/journal.pmed.1004464 · Cited by 26 · see citing works
Self-citationCircadian Oscillations in Skin and Their Interconnection with the Cycle of Life
Salazar, A., & von Hagen, J. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24065635 · Cited by 26 · see citing works
Multi-omics characterization of partial chemical reprogramming reveals evidence of cell rejuvenation
Mitchell, W., Goeminne, L. J., Tyshkovskiy, A., Zhang, S., Chen, J. Y., Paulo, J. A., Pierce, K. A., Choy, A. H., Clish, C. B., Gygi, S. P., et al. (2024) · eLife · doi:10.7554/elife.90579 · Cited by 23 · see citing works
Sidorenko, D., Pushkov, S., Sakip, A., Leung, G. H. D., Lok, S. W. Y., Urban, A., Zagirova, D., Veviorskiy, A., Tihonova, N., Kalashnikov, A., et al. (2024) · npj Aging · doi:10.1038/s41514-024-00163-3 · Cited by 24 · see citing works
Proteomics and Epidemiological Models of Human Aging
Ubaida‐Mohien, C., Moaddel, R., Moore, A. Z., Kuo, P., Faghri, F., Tharakan, R., Tanaka, T., Nalls, M. A., & Ferrucci, L. (2021) · Frontiers in Physiology · doi:10.3389/fphys.2021.674013 · Cited by 23 · see citing works
The protein inputs of an ultra-predictive aging clock represent viable anti-aging drug targets
Johnson, A. A., Shokhirev, M. N., & Lehallier, B. (2021) · Ageing Research Reviews · doi:10.1016/j.arr.2021.101404 · Cited by 22 · see citing works
Self-citationAssociations of plasma proteomics and age-related outcomes with brain age in a diverse cohort
Casanova, R., Walker, K. A., Justice, J. N., Anderson, A., Duggan, M. R., Cordon, J., Barnard, R., Lu, L., Hsu, F., Sedaghat, S., et al. (2024) · GeroScience · doi:10.1007/s11357-024-01112-4 · Cited by 22 · see citing works
A deep‐learning retinal aging biomarker for cognitive decline and incident dementia
Sim, M. A., Tham, Y. C., Nusinovici, S., Quek, T. C., Yu, M., Xue, C. C., Chee, M. L., Peng, Q., Tan, E. S. J., Chan, S. P., et al. (2025) · Alzheimer s & Dementia · doi:10.1002/alz.14601 · Cited by 22 · see citing works
New Perspectives on Avian Models for Studies of Basic Aging Processes
Harper, J. M., & Holmes, D. J. (2021) · Biomedicines · doi:10.3390/biomedicines9060649 · Cited by 22 · see citing works
Plasma proteomic signature of decline in gait speed and grip strength
Liu, X., Pan, S., Xanthakis, V., Vasan, R. S., Psaty, B. M., Austin, T. R., Newman, A. B., Sanders, J. L., Wu, C., Tracy, R. P., et al. (2022) · Aging Cell · doi:10.1111/acel.13736 · Cited by 22 · see citing works
Bartolomucci, A., Kane, A. E., Gaydosh, L. M., Razzoli, M., McCoy, B. M., Ehninger, D., Chen, B. H., Howlett, S. E., & Snyder‐Mackler, N. (2024) · The Journals of Gerontology Series A · doi:10.1093/gerona/glae135 · Cited by 21 · see citing works
Fuentealba, M., KIPROV, D. D., Schneider, K., Mu, W., Kumaar, P. V. A., Kasler, H. G., Burton, J. B., Watson, M. A., Halaweh, H., King, C. D., et al. (2025) · Aging Cell · doi:10.1111/acel.70103 · Cited by 28 · see citing works
Age-related ocular surface failure: A narrative review
Zazzo, A. D., Coassin, M., Surico, P. L., & Bonini, S. (2022) · Experimental Eye Research · doi:10.1016/j.exer.2022.109035 · Cited by 21 · see citing works
Salivary Proteomics Reveals Significant Changes in Relation to Alzheimer’s Disease and Aging
Contini, C., Serrao, S., Manconi, B., Olianas, A., Iavarone, F., Bizzarro, A., Masullo, C., Castagnola, M., Messana, I., Diaz, G., et al. (2022) · Journal of Alzheimer s Disease · doi:10.3233/jad-220246 · Cited by 20 · see citing works
Key Molecular Mechanisms of Aging, Biomarkers, and Potential Interventions
Proshkina, E., Solovev, I. A., Shaposhnikov, M. V., & Moskalev, A. (2020) · Molecular Biology · doi:10.1134/s0026893320060096 · Cited by 21 · see citing works
An evaluation of aging measures: from biomarkers to clocks
Wang, Q., Hou, T., Wang, Q., He, J., Wang, L., Si, J., & Chen, S. (2022) · Biogerontology · doi:10.1007/s10522-022-09997-4 · Cited by 18 · see citing works
Proteomic Markers of Aging and Longevity: A Systematic Review
Kliuchnikova, A. A., Ilgisonis, E. V., Archakov, A. I., Ponomarenko, E. A., & Moskalev, A. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms252312634 · Cited by 17 · see citing works
Ключевые молекулярные механизмы старения, биомаркеры и потенциальные интервенции
Proshkina, E., Соловьёв, И. А., Shaposhnikov, M. V., & Moskalev, A. A. (2020) · Molecular Biology · doi:10.31857/s0026898420060099 · Cited by 18 · see citing works
Wei, K., Peng, S., Liu, N., Li, G., Wang, J., Chen, X., He, L., Chen, Q., Lv, Y., Guo, H., et al. (2022) · The Journals of Gerontology Series A · doi:10.1093/gerona/glac081 · Cited by 17 · see citing works
Ageing and cancer: a research gap to fill
Solary, É., Abou‐Zeid, N., & Calvo, F. M. (2022) · Molecular Oncology · doi:10.1002/1878-0261.13222 · Cited by 17 · see citing works
Wolf, S. E., & Shalev, I. (2023) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2023.105261 · Cited by 17 · see citing works
A Deep-Learning Proteomic-Scale Approach for Drug Design
Overhoff, B., Falls, Z., Mangione, W., & Samudrala, R. (2021) · Pharmaceuticals · doi:10.3390/ph14121277 · Cited by 17 · see citing works
Huang, Q., Trumpff, C., Monzel, A. S., Rausser, S., Devine, J., Liu, C. C., Kelly, C. A., Kurade, M., Li, S., Engelstad, K., et al. (2024) · Molecular Genetics and Metabolism · doi:10.1016/j.ymgme.2025.109179 · Cited by 18 · see citing works
Patel, S. K., Bons, J., Rose, J., Chappel, J. R., Beres, R. L., Watson, M. A., Webster, C. M., Burton, J. B., Bruderer, R., Desprez, P. Y., et al. (2025) · Aging · doi:10.18632/aging.206292 · Cited by 16 · see citing works
A set of common buccal CpGs that predict epigenetic age and associate with lifespan-regulating genes
Johnson, A. A., Torosin, N. S., Shokhirev, M. N., & Cuellar, T. L. (2022) · iScience · doi:10.1016/j.isci.2022.105304 · Cited by 16 · see citing works
Self-citationPremature aging in childhood cancer survivors (Review)
Kruseová, J., Zichová, A., & Eckschlager, T. (2022) · Oncology Letters · doi:10.3892/ol.2022.13629 · Cited by 16 · see citing works
Predicting physiological aging rates from a range of quantitative traits using machine learning
Sun, E., Qian, Y., Oppong, R., Butler, T. J., Zhao, J. Y., Chen, B. H., Tanaka, T., Kang, J., Sidore, C., Cucca, F., et al. (2021) · Aging · doi:10.18632/aging.203660 · Cited by 16 · see citing works
Rubio‐Tomás, T., Aguado, D. M., Blaya, D., Ariño, S., Aguilar‐Bravo, B., de la Torre, R. A. M. G., Miravet-Marti, M., Ferrer‐Lorente, R., Zanatto, L., Xu, Z., et al. (2025) · JHEP Reports · doi:10.1016/j.jhepr.2025.101478 · Cited by 15 · see citing works
Cross-platform proteomics signatures of extreme old age
Reed, E. R., Chandler, K. B., Lopez, P., Costello, C. E., Andersen, S. L., Perls, T. T., Li, M., Bae, H. T., Soerensen, M., Monti, S., et al. (2024) · GeroScience · doi:10.1007/s11357-024-01286-x · Cited by 15 · see citing works
Pirazzini, C., Azevedo, T., Baldelli, L., Bartoletti‐Stella, A., Buonaura, G. C., Molin, A. D., Dimitri, G. M., Doykov, I., Gómez‐Garre, P., Hägg, S., et al. (2020) · Mechanisms of Ageing and Development · doi:10.1016/j.mad.2020.111426 · Cited by 15 · see citing works
Progeria and Aging—Omics Based Comparative Analysis
Caliskan, A., Crouch, S. A. W., Giddins, S., Dandekar, T., & Dangwal, S. (2022) · Biomedicines · doi:10.3390/biomedicines10102440 · Cited by 15 · see citing works
Measuring biological age: Insights from omics studies
Kočar, E., Šket, R., Vasle, A. H., Avguštin, G., Benedik, E., Seljak, B. K., Simić, P., Martinko, A., Morrison, S. A., Sorić, M., et al. (2025) · Ageing Research Reviews · doi:10.1016/j.arr.2025.102988 · Cited by 21 · see citing works
Beyond Chronological Age: A Multidimensional Approach to Survival Prediction in Older Adults
Salignon, J., Rizzuto, D., Calderón‐Larrañaga, A., Zucchelli, A., Fratiglioni, L., Riedel, C. G., & Vetrano, D. L. (2022) · The Journals of Gerontology Series A · doi:10.1093/gerona/glac186 · Cited by 14 · see citing works
Brinkley, T. E., Justice, J. N., Basu, S., Bauer, S. R., Loh, K. P., Mukli, P., Ng, T. K. S., Turney, I. C., Ferrucci, L., Cummings, S. R., et al. (2022) · GeroScience · doi:10.1007/s11357-022-00661-w · Cited by 14 · see citing works
Chaotic aging: intrinsically disordered proteins in aging-related processes
Manyilov, V. D., Ilyinsky, N. S., Nesterov, S. V., Saqr, B. M. G. A., Dayhoff, G. W., Zinovev, E. V., Matrenok, S. S., Fonin, A. V., Kuznetsova, I. M., Turoverov, K. K., et al. (2023) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-023-04897-3 · Cited by 14 · see citing works
He, M., & Borlak, J. T. (2023) · Immunity & Ageing · doi:10.1186/s12979-023-00373-5 · Cited by 14 · see citing works
Multiomics of Aging and Aging-Related Diseases
Kiseleva, O. I., Arzumanian, V. A., Ikhalaynen, Y. A., Kurbatov, I. Y., Kryukova, P. A., & Poverennaya, E. V. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms252413671 · Cited by 14 · see citing works
Blood Biomarkers for Healthy Aging
Ubaida‐Mohien, C., Tanaka, T., Tian, Q., Moore, A. Z., Moaddel, R., Basisty, N., Simonsick, E. M., & Ferrucci, L. (2023) · Gerontology · doi:10.1159/000530795 · Cited by 12 · see citing works
Huang, Q., Monzel, A. S., Rausser, S., Haahr, R., Indik, C. E., Savin, M. J., Bobba‐Alves, N., Liu, C. C., Devine, J., Thompson, E., et al. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.04.19.590241 · Cited by 13 · see citing works
Blood mitochondrial health markers cf-mtDNA and GDF15 in human agingPreprint
Trumpff, C., Huang, Q., Michelson, J., Liu, C. C., Shire, D., Habeck, C. G., Stern, Y., & Picard, M. A. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.01.28.635306 · Cited by 13 · see citing works
Metabolomic-based aging clocks
de Opakua, A. I., Conde, R., de Diego, Á., Bizkarguenaga, M., Embade, N., Lu, S. C.-L., Mato, J. M., & Millet, Ó. (2025) · npj Metabolic Health and Disease · doi:10.1038/s44324-025-00078-x · Cited by 12 · see citing works
Plasma proteomic signature of frailty in 50,506 adults
Jia, X., Gao, W., Hagelin, H., Zhao, Y., Zhang, J., Cao, X., Zhang, L., Wu, Y., Ma, L., Chen, L., et al. (2026) · Cell Metabolism · doi:10.1016/j.cmet.2026.02.013 · Cited by 13 · see citing works
Melendez, J., Sung, Y. J., Orr, M. E., Yoo, A. S. J., Schindler, S. E., Cruchaga, C., & Bateman, R. J. (2024) · Aging Cell · doi:10.1111/acel.14230 · Cited by 10 · see citing works
Secci, R., Hartmann, A., Walter, M., Grabe, H. J., der Auwera, S. V., Kowald, A., Palmer, D. H., Rimbach, G. H., Fuellen, G., & Barrantes, I. (2021) · Critical Reviews in Food Science and Nutrition · doi:10.1080/10408398.2021.1975638 · Cited by 11 · see citing works
Kothari, M., & Belsky, D. W. (2021) · eLife · doi:10.7554/elife.66223 · Cited by 11 · see citing works
Deep proteome profiling of human mammary epithelia at lineage and age resolution
Hinz, S., Manousopoulou, A., Miyano, M., Sayaman, R. W., Aguilera, K. Y., Todhunter, M. E., Lopez, J. C., Sohn, L. L., Wang, L. D., & LaBarge, M. A. (2021) · iScience · doi:10.1016/j.isci.2021.103026 · Cited by 11 · see citing works
Phosphoproteome profiling of mouse liver during normal aging
Liu, J.-F., Wu, Y., Yang, Y.-H., Wu, S., Liu, S., Xu, P., & Yang, J. (2022) · Proteome Science · doi:10.1186/s12953-022-00194-2 · Cited by 11 · see citing works
Understanding Aging through the Lense of Gut Microbiome
Ira, R., Adwani, J., Krishnan, A. O., Subramanian, G., Yadav, S., Shukla, S., Rao, S., & Prakash, T. (2024) · Exploratory Research and Hypothesis in Medicine · doi:10.14218/erhm.2024.00008 · Cited by 9 · see citing works
Hafez, S. M. N. A., & Elbassuoni, E. (2021) · International Immunopharmacology · doi:10.1016/j.intimp.2021.108465 · Cited by 11 · see citing works
Biopsychosocial Correlates of Resting and Stress-Reactive Salivary GDF15: Preliminary Findings
Liu, C. C., Trumpff, C., Huang, Q., Juster, R., & Picard, M. A. (2025) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2025.106068 · Cited by 8 · see citing works
Exercise Partially Rejuvenates Muscle Stem Cells
Larrick, J. W., & Mendelsohn, A. R. (2020) · Rejuvenation Research · doi:10.1089/rej.2020.2359 · Cited by 8 · see citing works
Sturm, G., Bobba‐Alves, N., Tumasian, R. A., Michelson, J., Ferrucci, L., Picard, M. A., & Kempes, C. P. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.05.10.491392 · Cited by 8 · see citing works
Twelve-hour ultradian rhythmic reprogramming of gene expression in the human ovary during aging
Chen, L., Chen, P., Xie, Y., Guo, J., Chen, R., Guo, Y., & Fang, C. (2025) · Journal of Assisted Reproduction and Genetics · doi:10.1007/s10815-024-03339-8 · Cited by 7 · see citing works
Gaudilliere, B. L., Xue, L., Tsai, A. S., Gao, X., McAllister, T. N., Tingle, M. S., Porras, G., Feinstein, I., Feyaerts, D., Verdonk, F., et al. (2025) · Journal of Translational Medicine · doi:10.1186/s12967-025-06215-w · Cited by 7 · see citing works
Self-citationBiomarkers of aging through the life course: a recent literature update
Gaylord, A., Cohen, A. A., & Kupsco, A. J. (2023) · Current Opinion in Epidemiology and Public Health · doi:10.1097/pxh.0000000000000018 · Cited by 7 · see citing works
Johnson, A. A., & Shokhirev, M. N. (2021) · Rejuvenation Research · doi:10.1089/rej.2021.0012 · Cited by 7 · see citing works
Self-citationEight decades of follow-up link life course exposures to proteomic organ ageing and longevityPreprint
Groves, J. W., Bot, V. A., Ding, D. Y., Nicholas, J. M., Farinas, A., Oh, H. S., James, S., Wong, A., Williams, D. M., King‐Robson, J., et al. (2025) · medRxiv · doi:10.1101/2025.09.07.25335188 · Cited by 7 · see citing works
Self-citationMicrovascular Health as a Key Determinant of Organismal Aging
Cenciarini, M., Uccelli, A., Mangili, F., Grunewald, M., & Bersini, S. (2025) · Advanced Science · doi:10.1002/advs.202508659 · Cited by 7 · see citing works
Zhang, Z., Liu, N., Guo, Z., Jiao, L., Fenster, A., Jin, W., Zhang, Y., Chen, J., Yan, C., & Gou, S. (2022) · npj Digital Medicine · doi:10.1038/s41746-022-00681-y · Cited by 6 · see citing works
Millen, J. L., Luyten, L. J., Dieu, M., Bové, H., Ameloot, M. M., Bongaerts, E., Demazy, C., Fransolet, M., Martens, D. S., Renard, P., et al. (2024) · Environmental Research · doi:10.1016/j.envres.2024.120214 · Cited by 6 · see citing works
- Authors
- Johnson, A. A., Shokhirev, M. N., Wyss-Coray, T., & Lehallier, B.
- Affiliations
- Nikon (United States) (US)
- Salk Institute for Biological Studies (US)
- Stanford Medicine (US)
- Corresponding author
- Johnson, Adiv A.
- Venue
- Ageing Research Reviews
- Publisher
- Elsevier BV
- Published
- 2020-07
- Volume
- 60
- Pages
- 101070
- ISSN
- 1568-1637 (ISSN-L)
- OpenAlex
- W3017299963
- Cited by
- 166
- References
- 187
- Citations by year
- 2026: 22 · 2025: 33 · 2024: 29 · 2023: 21 · 2022: 28 · 2021: 24 · 2020: 9
- FWCI
- 2.58
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Ageing Research Reviews (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institute on Handicapped Research (BTRU-2014-10024)
- British Heart Foundation (RG/13/13/30194)
- NOMIS Stiftung
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Aging › Genetics, Aging, and Longevity in Model Organisms
- Physical Sciences › Chemistry › Spectroscopy › Advanced Proteomics Techniques and Applications
- Social Sciences › Psychology › Neuropsychology and Physiological Psychology › Aging and Gerontology Research
- Keywords
- biological age, aging, plasma proteomics, healthspan, GDF15, metformin, inflammation, extracellular matrix, gene expression regulation, age prediction, age-related diseases
- MeSH terms
- Aged, Aging, Animals, Gene Expression Regulation, Humans, Longevity, Biomarkers, Proteomics, Mice
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