Abstract
Late in life, the body is at war with itself. There is a program of self-destruction (phenoptosis) implemented via epigenetic and other changes. I refer to these as type (1) epigenetic changes. But the body retains a deep instinct for survival, and other epigenetic changes unfold in response to a perception of accumulated damage (type (2)). In the past decade, epigenetic clocks have promised to accelerate the search for anti-aging interventions by permitting prompt, reliable, and convenient measurement of their effects on lifespan without having to wait for trial results on mortality and morbidity. However, extant clocks do not distinguish between type (1) and type (2). Reversing type (1) changes extends lifespan, but reversing type (2) shortens lifespan. This is why all extant epigenetic clocks may be misleading. Separation of type (1) and type (2) epigenetic changes will lead to more reliable clock algorithms, but this cannot be done with statistics alone. New experiments are proposed. Epigenetic changes are the means by which the body implements phenoptosis, but they do not embody a clock mechanism, so they cannot be the body’s primary timekeeper. The timekeeping mechanism is not yet understood, though there are hints that it may be (partially) located in the hypothalamus. For the future, we expect that the most fundamental measurement of biological age will observe this clock directly, and the most profound anti-aging interventions will manipulate it.
Notes
Gilpin, M. (1975) Group Selection in Predator-Prey Communities, Princeton University Press, https://doi.org/10.2307/j.ctvx5wbvr.
Hypermethylated and hypomethylated should not be confused with type (1) and type (2). These ways of categorizing CpG sites are independent and cut across each other.
References
Medawar, P.B. (1952) An Unsolved Problem of Biology, Published for the college by H. K. Lewis, London, 24 p.
Williams, G. C. (1957) Pleiotropy, natural selection, and the evolution of senescence, Evolution, 11, 398-411, https://doi.org/10.2307/2406060.
Mitteldorf, J. (2001) Can current evolutionary theory explain experimental data on aging?, Sci. Aging Knowledge Environ., 2001, vp9, https://doi.org/10.1126/sageke.2001.12.vp9.
Mitteldorf, J. (2004) Ageing selected for its own sake, Evol. Ecol. Res., 6, 937-953.
Kirkwood, T. B. L. (1977) Evolution of ageing, Nature, 270, 301-304, https://doi.org/10.1038/270301a0.
Mitteldorf, J. (2001) Can experiments on caloric restriction be reconciled with the disposable soma theory for the evolution of senescence?, Evolution, 55, 1902-1905, https://doi.org/10.1111/j.0014-3820.2001.tb00841.x.
Libertini, G. (1988) An adaptive theory of the increasing mortality with increasing chronological age in populations in the wild, J. Theor. Biol., 132, 145-162, https://doi.org/10.1016/s0022-5193(88)80153-x.
Bowles, J. T. (1998) The evolution of aging: a new approach to an old problem of biology, Med. Hypotheses, 51, 179-221, https://doi.org/10.1016/s0306-9877(98)90079-2.
Skulachev, V. P. (1999) Phenoptosis: programmed death of an organism, Biochemistry (Moscow), 64, 1418-1426.
Mitteldorf, J. (2017) Aging is a Group-Selected Adaptation: Theory, Evidence, and Medical Implications, CRC Press, https://doi.org/10.1201/9781315371214.
Dytham, C., and Travis, J. M. J. (2006) Evolving dispersal and age at death, Oikos, 113, 530-538, https://doi.org/10.1111/j.2006.0030-1299.14395.x.
Mitteldorf, J. (2006) Chaotic population dynamics and the evolution of aging: proposing a demographic theory of senescence, Evol. Ecol. Res., 8, 561-574.
Mitteldorf, J., and Pepper, J. (2009) Senescence as an adaptation to limit the spread of disease, J. Theor. Biol., 260, 186-195, https://doi.org/10.1016/j.jtbi.2009.05.013.
Martins, A. C. R. (2011) Change and aging senescence as an adaptation, PLoS One, 6, e24328, https://doi.org/10.1371/journal.pone.0024328.
Mitteldorf, J., and Goodnight, C. (2012) Post-reproductive life span and demographic stability, Oikos, 121, 1370-1378, https://doi.org/10.1111/j.1600-0706.2012.19995.x.
Werfel, J., Ingber, D. E., and Bar-Yam, Y. (2015) Programed death is favored by natural selection in spatial systems, Phys. Rev. Lett., 114, 238103, https://doi.org/10.1103/physrevlett.114.238103.
Longo, V. D., Mitteldorf, J., and Skulachev, V. P. (2005) Programmed and altruistic ageing, Nat. Rev. Genet., 6, 866-872, https://doi.org/10.1038/nrg1706.
Galimov, E. R., and Gems, D. (2020) Shorter life and reduced fecundity can increase colony fitness in virtual Caenorhabditis elegans, Aging Cell, 19, e13141, https://doi.org/10.1111/acel.13141.
Travis, J. M. J. (2004) The evolution of programmed death in a spatially structured population, J. Gerontol. A Biol. Sci. Med. Sci., 59, B301-B305, https://doi.org/10.1093/gerona/59.4.b301.
Lenart, P., and Bienertová-Vašků, J. (2016) Keeping up with the Red Queen: the pace of aging as an adaptation, Biogerontology, 18, 693-709, https://doi.org/10.1007/s10522-016-9674-4.
Mitteldorf, J., and Martins, A. C. R. (2014) Programmed life span in the context of evolvability, Am. Nat., 184, 289-302, https://doi.org/10.1086/677387.
Anisimov, V. N., Berstein, L. M., Egormin, P. A., Piskunova, T. S., Popovich, I. G., Zabezhinski, M. A., Tyndyk, M. L., Yurova, M. V., Kovalenko, I. G., Poroshina, T. E., and Semenchenko, A. V. (2008) Metformin slows down aging and extends life span of female SHR mice, Cell Cycle, 7, 2769-2773, https://doi.org/10.4161/cc.7.17.6625.
Harrison, D. E., Strong, R., Sharp, Z. D., Nelson, J. F., Astle, C. M., Flurkey, K., Nadon, N. L., Wilkinson, J. E., Frenkel, K., Carter, C. S., Pahor, M., Javors, M. A., Fernandez, E., and Miller, R. A. (2009) Rapamycin fed late in life extends lifespan in genetically heterogeneous mice, Nature, 460, 392-395, https://doi.org/10.1038/nature08221.
Anisimov, V. N., and Khavinson, V. Kh. (2009) Peptide bioregulation of aging: results and prospects, Biogerontology, 11, 139-149, https://doi.org/10.1007/s10522-009-9249-8.
Strong, R., Miller, R. A., Astle, C. M., Floyd, R. A., Flurkey, K., Hensley, K. L., Javors, M. A., Leeuwenburgh, C., Nelson, J. F., Ongini, E., Nadon, N. L., Warner, H. R., and Harrison, D. E. (2008) Nordihydroguaiaretic acid and aspirin increase lifespan of genetically heterogeneous male mice, Aging Cell, 7, 641-650, https://doi.org/10.1111/j.1474-9726.2008.00414.x.
Tuohimaa, P. (2009) Vitamin D and aging, J. Steroid Biochem. Mol. Biol., 114, 78-84, https://doi.org/10.1016/j.jsbmb.2008.12.020.
Sharman, E. H., Bondy, S. C., Sharman, K. G., Lahiri, D., Cotman, C. W., and Perreau, V. M. (2007) Effects of melatonin and age on gene expression in mouse CNS using microarray analysis, Neurochem. Int., 50, 336-344, https://doi.org/10.1016/j.neuint.2006.09.001.
Rodríguez, M. I., Escames, G., López, L. C., López, A., García, J. A., Ortiz, F., Sánchez, V., Romeu, M., and Acuña-Castroviejo, D. (2008) Improved mitochondrial function and increased life span after chronic melatonin treatment in senescent prone mice, Exp. Gerontol., 43, 749-756, https://doi.org/10.1016/j.exger.2008.04.003.
Agapova, L. S., Chernyak, B. V., Domnina, L. V., Dugina, V. B., Efimenko, A. Yu., Fetisova, E. K., Ivanova, O. Yu., Kalinina, N. I., Khromova, N. V., Kopnin, B. P., Kopnin, P. B., Korotetskaya, M. V., Lichinitser, M. R., Lukashev, A. L., Pletjushkina, O. Yu., Popova, E. N., Skulachev, M. V., Shagieva, G. S., Stepanova, E. V., Titova, E. V., Tkachuk, V. A., Vasiliev, J. M., and Skulachev, V. P. (2008) Mitochondria-targeted plastoquinone derivatives as tools to interrupt execution of the aging program. 3. Inhibitory effect of SkQ1 on tumor development from p53-deficient cells, Biochemistry (Moscow), 73, 1300-1316, https://doi.org/10.1134/s0006297908120031.
Flurkey, K., Astle, C. M., and Harrison, D. E. (2010) Life extension by diet restriction and N-acetyl-L-cysteine in genetically heterogeneous mice, J. Gerontol. A Biol. Sci. Med. Sci., 65A, 1275-1284, https://doi.org/10.1093/gerona/glq155.
Horvath, S. (2013) DNA methylation age of human tissues and cell types, Genome Biol., 14, R115, https://doi.org/10.1186/gb-2013-14-10-r115.
Hannum, G., Guinney, J., Zhao, L., Zhang, L., Hughes, G., Sadda, S., Klotzle, B., Bibikova, M., Fan, J.-B., Gao, Y., Deconde, R., Chen, M., Rajapakse, I., Friend, S., Ideker, T., and Zhang, K. (2013) Genome-wide methylation profiles reveal quantitative views of human aging rates, Mol. Cell, 49, 359-367, https://doi.org/10.1016/j.molcel.2012.10.016.
Franceschi, C., and Campisi, J. (2014) Chronic inflammation (inflammaging) and its potential contribution to age-associated diseases, J. Gerontol. A Biol. Sci. Med. Sci., 69, S4-S9, https://doi.org/10.1093/gerona/glu057.
Dirks, A., and Leeuwenburgh, C. (2002) Apoptosis in skeletal muscle with aging, Am. J. Physiol. Regul. Integr. Comp. Physiol., 282, R519-R527, https://doi.org/10.1152/ajpregu.00458.2001.
Lev, N., Melamed, E., and Offen, D. (2003) Apoptosis and Parkinson’s disease, Prog. Neuropsychopharmacol. Biol. Psychiatry, 27, 245-250, https://doi.org/10.1016/s0278-5846(03)00019-8.
Rubinsztein, D. C., Mariño, G., and Kroemer, G. (2011) Autophagy and aging, Cell, 146, 682-695, https://doi.org/10.1016/j.cell.2011.07.030.
Shindyapina, A. V., Cho, Y., Kaya, A., Tyshkovskiy, A., Castro, J. P., Deik, A., Gordevicius, J., Poganik, J. R., Clish, C. B., Horvath, S., Peshkin, L., and Gladyshev, V. N. (2022) Rapamycin treatment during development extends life span and health span of male mice and Daphnia magna, Sci. Adv., 8, eabo5482, https://doi.org/10.1126/sciadv.abo5482.
Waziry, R., Ryan, C. P., Corcoran, D. L., Huffman, K. M., Kobor, M. S., Kothari, M., Graf, G. H., Kraus, V. B., Kraus, W. E., Lin, D. T. S., Pieper, C. F., Ramaker, M. E., Bhapkar, M., Das, S. K., Ferrucci, L., Hastings, W. J., Kebbe, M., Parker, D. C., Racette, S. B., Shalev, I., Schilling, B., and Belsky, D. W. (2023) Effect of long-term caloric restriction on DNA methylation measures of biological aging in healthy adults from the CALERIE trial, Nat. Aging, 3, 248-257, https://doi.org/10.1038/s43587-022-00357-y.
Horvath, S., Singh, K., Raj, K., Khairnar, S., Sanghavi, A., Shrivastava, A., Zoller, J. A., Li, C. Z., Herenu, C. B., Canatelli-Mallat, M., Lehmann, M., Solberg Woods, L. C., Martinez, A. G., Wang, T., Chiavellini, P., Levine, A. J., Chen, H., Goya, R. G., and Katcher, H. L. (2020) Reversing age: dual species measurement of epigenetic age with a single clock, bioRxiv, https://doi.org/10.1101/2020.05.07.082917.
Horvath, S., Singh, K., Raj, K., Khairnar, S. I., Sanghavi, A., Shrivastava, A., Zoller, J. A., Li, C. Z., Herenu, C. B., Canatelli-Mallat, M., Lehmann, M., Habazin, S., Novokmet, M., Vučković, F., Solberg Woods, L. C., Martinez, A. G., Wang, T., Chiavellini, P., Levine, A. J., Chen, H., Brooke, R. T., Gordevicius, J., Lauc, G., Goya, R. G., and Katcher, H. L. (2023) Reversal of biological age in multiple rat organs by young porcine plasma fraction, GeroScience, 46, 367-394, https://doi.org/10.1007/s11357-023-00980-6.
Mitteldorf, J. (2023) Harold Katcher’s Last Rat, in Aging Matters Blog, URL: https://joshmitteldorf.scienceblog.com/2023/03/13/harold-katchers-last-rat/.
Mei, X., Blanchard, J., Luellen, C., Conboy, M. J., and Conboy, I. M. (2023) Fail-tests of DNA methylation clocks, and development of a noise barometer for measuring epigenetic pressure of aging and disease, Aging, 15, 8552-8575, https://doi.org/10.18632/aging.205046.
Lu, A. T., Quach, A., Wilson, J. G., Reiner, A. P., Aviv, A., Raj, K., Hou, L., Baccarelli, A. A., Li, Y., Stewart, J. D., Whitsel, E. A., Assimes, T. L., Ferrucci, L., and Horvath, S. (2019) DNA methylation GrimAge strongly predicts lifespan and healthspan, Aging, 11, 303-327, https://doi.org/10.18632/aging.101684.
Levine, M. E., Lu, A. T., Quach, A., Chen, B. H., Assimes, T. L., Bandinelli, S., Hou, L., Baccarelli, A. A., Stewart, J. D., Li, Y., Whitsel, E. A., Wilson, J. G., Reiner, A. P., Aviv, A., Lohman, K., Liu, Y., Ferrucci, L., and Horvath, S. (2018) An epigenetic biomarker of aging for lifespan and healthspan, Aging, 10, 573-591, https://doi.org/10.18632/aging.101414.
Neafsey, P. J. (1990) Longevity hormesis. A review, Mech. Ageing Dev., 51, 1-31, https://doi.org/10.1016/0047-6374(90)90158-c.
Masoro, E.J. (2007) The role of hormesis in life extension by dietary restriction, Interdiscip. Top. Gerontol., 35, 1-17.
Katcher, H., and Sanghavi, A. (2022) Anti-Aging Compositions and Uses Thereof, Google Patents.
Wilkinson, J. E., Burmeister, L., Brooks, S. V., Chan, C.-C., Friedline, S., Harrison, D. E., Hejtmancik, J. F., Nadon, N., Strong, R., Wood, L. K., Woodward, M. A., and Miller, R. A. (2012) Rapamycin slows aging in mice, Aging Cell, 11, 675-682, https://doi.org/10.1111/j.1474-9726.2012.00832.x.
Kumar, P., Osahon, O. W., and Sekhar, R. V. (2022) GlyNAC (glycine and N-acetylcysteine) supplementation in mice increases length of life by correcting glutathione deficiency, oxidative stress, mitochondrial dysfunction, abnormalities in mitophagy and nutrient sensing, and genomic damage, Nutrients, 14, 1114, https://doi.org/10.3390/nu14051114.
Skulachev, M. V., and Skulachev, V. P. (2014) New data on programmed aging – slow phenoptosis, Biochemistry (Moscow), 79, 977-993, https://doi.org/10.1134/s0006297914100010.
Rahman, S., and Islam, R. (2011) Mammalian Sirt1: insights on its biological functions, Cell Commun. Signal., 9, 11, https://doi.org/10.1186/1478-811x-9-11.
Martins, R., Lithgow, G. J., and Link, W. (2015) Long live FOXO: unraveling the role of FOXO proteins in aging and longevity, Aging Cell, 15, 196-207, https://doi.org/10.1111/acel.12427.
Herzig, S., and Shaw, R. J. (2017) AMPK: guardian of metabolism and mitochondrial homeostasis, Nat. Rev. Mol. Cell Biol., 19, 121-135, https://doi.org/10.1038/nrm.2017.95.
Kim, J.-H., Hwang, K.-H., Park, K.-S., Kong, I. D., and Cha, S.-K. (2015) Biological role of anti-aging protein Klotho, J. Lifestyle Med., 5, 1-6, https://doi.org/10.15280/jlm.2015.5.1.1.
Ying, K., Liu, H., Tarkhov, A. E., Sadler, M. C., Lu, A. T., Moqri, M., Horvath, S., Kutalik, Z., Shen, X., and Gladyshev, V. N. (2024) Causality-enriched epigenetic age uncouples damage and adaptation, Nat. Aging, https://doi.org/10.1038/s43587-023-00557-0.
Higgins-Chen, A. T., Thrush, K. L., Wang, Y., Minteer, C. J., Kuo, P.-L., Wang, M., Niimi, P., Sturm, G., Lin, J., Moore, A. Z., Bandinelli, S., Vinkers, C. H., Vermetten, E., Rutten, B. P. F., Geuze, E., Okhuijsen-Pfeifer, C., van der Horst, M. Z., Schreiter, S., Gutwinski, S., Luykx, J. J., Picard, M., Ferrucci, L., Crimmins, E. M., Boks, M. P., Hägg, S., Hu-Seliger, T. T., and Levine, M. E. (2022) A computational solution for bolstering reliability of epigenetic clocks: implications for clinical trials and longitudinal tracking, Nat. Aging, 2, 644-661, https://doi.org/10.1038/s43587-022-00248-2.
Mitteldorf, J. (2021) A New Approach to Methylation Clocks, in Aging Matters Blog, URL: https://joshmitteldorf.scienceblog.com/2021/09/06/a-new-approach-to-methylation-clocks/.
Vavourakis, C. D., Herzog, C. M., and Widschwendter, M. (2023) Devising reliable and accurate epigenetic predictors: choosing the optimal computational solution, bioRxiv, https://doi.org/10.1101/2023.10.13.562187.
Moore, R. Y. (2007) Suprachiasmatic nucleus in sleep–wake regulation, Sleep Med., 8, 27-33, https://doi.org/10.1016/j.sleep.2007.10.003.
Evans, J. A. (2016) Collective timekeeping among cells of the master circadian clock, J. Endocrinol., 230, R27-R49, https://doi.org/10.1530/joe-16-0054.
Kowalska, E., and Brown, S. A. (2007) Peripheral clocks: keeping up with the master clock, Cold Spring Harb. Symp. Quant. Biol., 72, 301-305, https://doi.org/10.1101/sqb.2007.72.014.
Gu, C., Li, J., Zhou, J., Yang, H., and Rohling, J. (2021) Network structure of the master clock is important for its primary function, Front. Physiol., 12, 678391, https://doi.org/10.3389/fphys.2021.678391.
Aveleira, C. A., Botelho, M., and Cavadas, C. (2015) NPY/neuropeptide Y enhances autophagy in the hypothalamus: a mechanism to delay aging?, Autophagy, 11, 1431-1433, https://doi.org/10.1080/15548627.2015.1062202.
Silva, A. P., Cavadas, C., and Grouzmann, E. (2002) Neuropeptide Y and its receptors as potential therapeutic drug targets, Clin. Chim. Acta, 326, 3-25, https://doi.org/10.1016/s0009-8981(02)00301-7.
Botelho, M., and Cavadas, C. (2015) Neuropeptide Y: an anti-aging player?, Trends Neurosci., 38, 701-711, https://doi.org/10.1016/j.tins.2015.08.012.
Chiba, T., Tamashiro, Y., Park, D., Kusudo, T., Fujie, R., Komatsu, T., Kim, S. E., Park, S., Hayashi, H., Mori, R., Yamashita, H., Chung, H. Y., and Shimokawa, I. (2014) A key role for neuropeptide Y in lifespan extension and cancer suppression via dietary restriction, Sci. Rep., 4, 4517, https://doi.org/10.1038/srep04517.
Bakos, J., Zatkova, M., Bacova, Z., and Ostatnikova, D. (2016) The role of hypothalamic neuropeptides in neurogenesis and neuritogenesis, Neural Plast., 2016, 3276383, https://doi.org/10.1155/2016/3276383.
Zhang, G., Li, J., Purkayastha, S., Tang, Y., Zhang, H., Yin, Y., Li, B., Liu, G., and Cai, D. (2013) Hypothalamic programming of systemic ageing involving IKK-β, NF-κB and GnRH, Nature, 497, 211-216, https://doi.org/10.1038/nature12143.
Zhang, Y., Kim, M. S., Jia, B., Yan, J., Zuniga-Hertz, J. P., Han, C., and Cai, D. (2017) Hypothalamic stem cells control ageing speed partly through exosomal miRNAs, Nature, 548, 52-57, https://doi.org/10.1038/nature23282.
Hurd, M. W., and Ralph, M. R. (1998) The significance of circadian organization for longevity in the golden hamster, J. Biol. Rhythms, 13, 430-436, https://doi.org/10.1177/074873098129000255.
Leng, L., Yuan, Z., Su, X., Chen, Z., Yang, S., Chen, M., Zhuang, K., Lin, H., Sun, H., Li, H., Xue, M., Xu, J., Yan, J., Chen, Z., Yuan, T., and Zhang, J. (2023) Hypothalamic Menin regulates systemic aging and cognitive decline, PLoS Biol., 21, e3002033, https://doi.org/10.1371/journal.pbio.3002033.
Horvath, S., and Raj, K. (2018) DNA methylation-based biomarkers and the epigenetic clock theory of ageing, Nat. Rev. Genet., 19, 371-384, https://doi.org/10.1038/s41576-018-0004-3.
Horvath, S., Mah, V., Lu, A. T., Woo, J. S., Choi, O.-W., Jasinska, A. J., Riancho, J. A., Tung, S., Coles, N. S., Braun, J., Vinters, H. V., and Coles, L. S. (2015) The cerebellum ages slowly according to the epigenetic clock, Aging (Albany NY), 7, 294-306, https://doi.org/10.18632/aging.100742.
Liu, B., Qu, J., Zhang, W., Izpisua Belmonte, J. C., and Liu, G.-H. (2022) A stem cell aging framework, from mechanisms to interventions, Cell Rep., 41, 111451, https://doi.org/10.1016/j.celrep.2022.111451.
West, H. R. (2003) Utilitarianism, hedonism, and desert: essays in moral philosophy, Int. Stud. Philos., 35, 244-245, https://doi.org/10.5840/intstudphil200335482.
Walford, R. L. (1969) The immunologic theory of aging, Immunol. Rev., 2, 171-171, https://doi.org/10.1111/j.1600-065x.1969.tb00210.x.
De Grey, A. D. N. J. (1999) The Mitochondrial Free Radical Theory of Aging, R.G. Landes Company, Austin, TX, 212 p.
Barja, G. (2013) Updating the mitochondrial free radical theory of aging: an integrated view, key aspects, and confounding concepts, Antioxid. Redox Signal., 19, 1420-1445, https://doi.org/10.1089/ars.2012.5148.
Adams, D. S., Tseng, A.-S., and Levin, M. (2013) Light-activation of the Archaerhodopsin H+-pump reverses age-dependent loss of vertebrate regeneration: sparking system-level controls in vivo, Biol. Open, 2, 306-313, https://doi.org/10.1242/bio.20133665.
Mathews, J., Kuchling, F., Baez-Nieto, D., Diberardinis, M., Pan, J. Q., and Levin, M. (2022) Ion channel drugs suppress cancer phenotype in NG108-15 and U87 cells: toward novel electroceuticals for glioblastoma, Cancers, 14, 1499, https://doi.org/10.3390/cancers14061499.
Pio-Lopez, L., and Levin, M. (2023) Morphoceuticals: perspectives for discovery of drugs targeting anatomical control mechanisms in regenerative medicine, cancer and aging, Drug Discov. Today, 28, 103585, https://doi.org/10.1016/j.drudis.2023.103585.
Grigorian Shamagian, L., Rogers, R. G., Luther, K., Angert, D., Echavez, A., Liu, W., Middleton, R., Antes, T., Valle, J., Fourier, M., Sanchez, L., Jaghatspanyan, E., Mariscal, J., Zhang, R., and Marbán, E. (2023) Rejuvenating effects of young extracellular vesicles in aged rats and in cellular models of human senescence, Sci. Rep., 13, https://doi.org/10.1038/s41598-023-39370-5.
Mitteldorf, J. (2023) News from Harold Katcher’s Lab, in Aging Matters Blog, URL: https://joshmitteldorf.scienceblog.com/2023/09/04/news-from-harold-katchers-lab/.
Raposo, G., and Stahl, P. D. (2019) Extracellular vesicles: a new communication paradigm?, Nat. Rev. Mol. Cell Biol., 20, 509-510, https://doi.org/10.1038/s41580-019-0158-7.
Conboy, I. M., Conboy, M. J., Wagers, A. J., Girma, E. R., Weissman, I. L., and Rando, T. A. (2005) Rejuvenation of aged progenitor cells by exposure to a young systemic environment, Nature, 433, 760-764, https://doi.org/10.1038/nature03260.
Katcher, H. L. (2013) Studies that shed new light on aging, Biochemistry (Moscow), 78, 1061-1070, https://doi.org/10.1134/s0006297913090137.
Sharon, J. S., Deutsch, G. K., Tian, L., Richardson, K., Coburn, M., Gaudioso, J. L., Marcal, T., Solomon, E., Boumis, A., Bet, A., Mennes, M., van Oort, E., Beckmann, C. F., Braithwaite, S. P., Jackson, S., Nikolich, K., Stephens, D., Kerchner, G. A., and Wyss-Coray, T. (2019) Safety, tolerability, and feasibility of young plasma infusion in the plasma for Alzheimer symptom amelioration study: a randomized clinical trial, JAMA Neurol., 76, 35-40, https://doi.org/10.1001/jamaneurol.2018.3288.
Castellano, J. M., Mosher, K. I., Abbey, R. J., McBride, A. A., James, M. L., Berdnik, D., Shen, J. C., Zou, B., Xie, X. S., Tingle, M., Hinkson, I. V., Angst, M. S., and Wyss-Coray, T. (2017) Human umbilical cord plasma proteins revitalize hippocampal function in aged mice, Nature, 544, 488-492, https://doi.org/10.1038/nature22067.
Mehdipour, M., Skinner, C., Wong, N., Lieb, M., Liu, C., Etienne, J., Kato, C., Kiprov, D., Conboy, M. J., and Conboy, I. M. (2020) Rejuvenation of three germ layers tissues by exchanging old blood plasma with saline-albumin, Aging (Albany NY), 12, 8790-8819, https://doi.org/10.18632/aging.103418.
Salonen, J. T., Tuomainen, T.-P., Salonen, R., Lakka, T. A., and Nyyssonen, K. (1998) donation of blood is associated with reduced risk of myocardial infarction: the Kuopio ischaemic heart disease risk factor study, Am. J. Epidemiol., 148, 445-451, https://doi.org/10.1093/oxfordjournals.aje.a009669.
Boada, M., López, O. L., Olazarán, J., Núñez, L., Pfeffer, M., Paricio, M., Lorites, J., Piñol-Ripoll, G., Gámez, J. E., Anaya, F., Kiprov, D., Lima, J., Grifols, C., Torres, M., Costa, M., Bozzo, J., Szczepiorkowski, Z. M., Hendrix, S., and Páez, A. (2020) A randomized, controlled clinical trial of plasma exchange with albumin replacement for Alzheimer’s disease: Primary results of the AMBAR Study, Alzheimers. Dement., 16, 1412-1425, https://doi.org/10.1002/alz.12137.
Lehallier, B., Gate, D., Schaum, N., Nanasi, T., Lee, S. E., Yousef, H., Moran Losada, P., Berdnik, D., Keller, A., Verghese, J., Sathyan, S., Franceschi, C., Milman, S., Barzilai, N., and Wyss-Coray, T. (2019) Undulating changes in human plasma proteome profiles across the lifespan, Nat. Med., 25, 1843-1850, https://doi.org/10.1038/s41591-019-0673-2.
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Mitteldorf, J. Biological Clocks: Why We Need Them, Why We Cannot Trust Them, How They Might Be Improved. Biochemistry Moscow 89, 356–366 (2024). https://doi.org/10.1134/S0006297924020135
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DOI: https://doi.org/10.1134/S0006297924020135