Please wait a minute...
 Home  About the Journal Editorial Board Aims & Scope Peer Review Policy Subscription Contact us
 
Early Edition  //  Current Issue  //  Open Special Issues  //  Archives  //  Most Read  //  Most Downloaded  //  Most Cited
Aging and disease    2017, Vol. 8 Issue (5) : 583-589     DOI: 10.14336/AD.2017.0130
Review |
Recognizing Degenerative Aging as a Treatable Medical Condition: Methodology and Policy
Stambler Ilia
Department of Science, Technology and Society, Bar Ilan University, Israel
Download: PDF(789 KB)   HTML
Export: BibTeX | EndNote | Reference Manager | ProCite | RefWorks    
Abstract  

It is becoming increasingly clear that in order to accomplish healthy longevity for the population, there is an urgent need for the research and development of effective therapies against degenerative aging processes underlying major aging-related diseases, including heart disease, neurodegenerative diseases, type 2 diabetes, cancer, pulmonary obstructive diseases, as well as aging-related complications and susceptibilities of infectious communicable diseases. Yet, an important incentive for the research and development of such therapies appears to be the development of clinically applicable and scientifically grounded definitions and criteria for the multifactorial degenerative aging process (or “senility” using the existing ICD category), underlying those diseases, as well as for the safety and effectiveness of interventions against it. Such generally agreed definitions and criteria are currently absent. The devising of such criteria is important not only for the sake of their scientific value and their utility for the development of therapeutic solutions for the aging population, but also to comply with and implement major existing national and international programmatic and regulatory requirements. Some methodological suggestions and potential pitfalls for the development of such criteria are examined.

Keywords senescence      aging      aging-related diseases      frailty      diagnosis      regulation     
About author:

These authors contribute equally to the manuscript

Issue Date: 01 October 2017
Service
E-mail this article
E-mail Alert
RSS
Articles by authors
Stambler Ilia
Cite this article:   
Stambler Ilia. Recognizing Degenerative Aging as a Treatable Medical Condition: Methodology and Policy[J]. Aging and disease, 2017, 8(5): 583-589.
URL:  
http://www.aginganddisease.org/EN/10.14336/AD.2017.0130     OR     http://www.aginganddisease.org/EN/Y2017/V8/I5/583
[1] Jin K, Simpkins JW, Ji X, Leis M, Stambler I (2015). The critical need to promote research of aging and aging-related diseases to improve health and longevity of the elderly population. Aging Dis, 6(1):1-5.
[2] Rae MJ, Butler RN, Campisi J, de Grey ADNJ, Finch CE, Gough M, et al. (2010). The demographic and biomedical case for late-life interventions in aging. Sci Transl Med, 2(40): 40cm21.
[3] Goldman DP, Cutler D, Rowe JW, Michaud PC, Sullivan J, Peneva D, Olshansky SJ (2013). Substantial health and economic returns from delayed aging may warrant a new focus for medical research. Health Aff, 32(10): 1698-1705.
[4] Fontana L, Kennedy BK, Longo VD, Seals D, Melov S (2014). Medical research: treat ageing. Nature, 511(7510): 405-407.
[5] Zhavoronkov A, Bhullar B. Classifying aging as a disease in the context of ICD-11 (2015). Front Genet, 6:326.
[6] Bulterijs S, Hull RS, Björk VCE, Roy AG (2015). It is time to classify biological aging as a disease. Front Genet, 6: 205.
[7] Stambler I (2015). Has aging ever been considered healthy? Front Genet, 6: 202.
[8] Lozano R, Naghavi M, Foreman K, Lim S, Shibuya K, Aboyans V, et al. (2013). Global and regional mortality from 235 causes of death for 20 age groups in 1990 and 2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet, 380(9859): 2095-2128.
[9] Murray CJL, Lopez AD. Estimating causes of death: new methods and global and regional application for 1990. In: Murray CJLLopez AD, editors. Global Burden of Disease and Injury Series. The global burden of disease: a comprehensive assessment of mortality and disability from diseases, injuries, and risk factors in 1990 and projected to 2020. Boston: Harvard School of Public Health, on behalf of the World Health Organization and the World Bank; 1996, pp. 117-200.
[10] Ahmad A, Komai S (2015). Geriatrics and gerontology: neglected areas of research in most developing countries. J Am Geriatr Soc, 63(6): 1283-1284.
[11] EMA geriatric medicines strategy. EMA/CHMP/137793/2011. London: European Medicines Agency; 2011.
[12] EMA geriatric medicines strategy. Report analysis on product information. EMA/352652/2013. London: European Medicines Agency; 2013.
[13] Concept paper on the need for a reflection paper on quality aspects of medicines for older people. EMA/165974/2013. London: European Medicines Agency; 2013.
[14] Proposal for the development of a points to consider for baseline characterisation of frailty status. EMA/335158/2013. London: European Medicines Agency; 2013.
[15] Cesari M, Fielding R, Bénichou O, Bernabei R, Bhasin S, Guralnik JM, et al. (2015). Pharmacological interventions in frailty and sarcopenia: Report by the International Conference on Frailty and Sarcopenia Task Force. J Frailty Aging, 4(3): 114-120.
[16] Hall SS (2015). A trial for the ages. Science, 349(6254): 1275-1278.
[17] Blokh D, Stambler I (2016). The application of information theory for the research of aging and aging-related diseases. Prog Neurobiol, S0301-0082(15): 30059-9.
[18] Moskalev A, Chernyagina E, Tsvetkov V, Fedintsev A, Shaposhnikov M, Krut’ko V, Zhavoronkov A, Kennedy BK (2016). Developing criteria for evaluation of geroprotectors as a key stage toward translation to the clinic. Aging Cell, 15(3): 407-415.
[19] Fried LP, Walston J. Frailty and failure to thrive. In: Hazzard WR, Blass JP, Ettinger WH, Halter JB, Ouslander MD, editors. Principles of Geriatric Medicine and Gerontology. 4th ed. New York: McGraw Hill; 1999, pp 1387-1402.
[20] Ensrud KE, Ewing SK, Cawthon PM, Fink HA, Taylor BC, Cauley JA, et al. (2009). Osteoporotic Fractures in Men Research Group. A comparison of frailty indexes for the prediction of falls, disability, fractures, and mortality in older men. J Am Geriatr Soc, 57(3):492-498.
[21] Fried LP, Tangen CM, Walston J, Newman AB, Hirsch C, Gottdiener J, et al. (2001). Cardiovascular Health Study Collaborative Research Group. Frailty in older adults: evidence for a phenotype. J Gerontol A Biol Sci Med Sci, 56(3):M146-M156.
[22] Mitnitski AB, Mogilner AJ, Rockwood K (2001). Accumulation of deficits as a proxy measure of aging. ScientificWorldJournal, 1:323-336.
[23] Mayevsky A, Barbiro-Michaely E (2013). Shedding light on mitochondrial function by real time monitoring of NADH fluorescence: II: human studies. J Clin Monit Comput, 27(2):125-145.
[24] Zarchin N, Meilin S, Rifkind J, Mayevsky A (2002). Effect of aging on brain energy-metabolism. Comp Biochem Physiol A Mol Integr Physiol, 132(1):117-120.
[25] Fuellen G, Schofield P, Flatt T, Schulz RJ, Boege F, Kraft K, et al. (2016). Living long and well: Prospects for a personalized approach to the medicine of ageing. Gerontology, 62(4):409-416.
[26] Hartshorne JK, Germine LT (2015). When does cognitive functioning peak? The asynchronous rise and fall of different cognitive abilities across the life span. Psychol Sci, 26(4):433-443.
[27] De Grey ADNJ, Rae M. Ending Aging: The Rejuvenation Breakthroughs That Could Reverse Human Aging in Our Lifetime. New York: St. Martin’s Press; 2007.
[28] Kennedy BK, Berger SL, Brunet A, Campisi J, Cuervo AM, Epel ES (2014). Geroscience: linking aging to chronic disease. Cell, 59:709-713.
[29] López-Otín C, Blasco MA, Partridge L, Serrano M, Kroemer G (2013). The hallmarks of aging. Cell, 153:1194-1217.
[30] Moskalev A, Chernyagina E, Kudryavtseva A, Shaposhnikov M (2017). Geroprotectors: a unified concept and screening approaches. Aging Dis, 4(8).
[31] Blokh D, Stambler I (2017). The use of information theory for the evaluation of biomarkers of aging and physiological age. Mech Ageing Dev, S0047-6374(16)30156-7.
[32] Reiman EM, Langbaum JB, Fleisher AS, Caselli RJ, Chen K, Ayutyanont N, et al. (2011). Alzheimer’s Prevention Initiative: A plan to accelerate the evaluation of presymptomatic treatments. J Alzheimers Dis, 26(Suppl 3): 321-329.
[33] Toyn J (2015). What lessons can be learned from failed Alzheimer’s disease trials? Expert Rev Clin Pharmacol, 8(3): 267-269.
[34] Morrison DH, Rahardja D, King E, Peng Y, Sarode VR (2012). Tumour biomarker expression relative to age and molecular subtypes of invasive breast cancer. Br J Cancer, 107: 382-387.
[35] Cohen AA (2016). Complex systems dynamics in aging: new evidence, continuing questions. Biogerontology, 17: 205-220.
[36] Le Couteur DG, Simpson SJ (2011). Adaptive senectitude: the prolongevity effects of aging. J Gerontol A Biol Sci Med Sci, 66: 179-182.
[37] Blokh D, Stambler I (2015). Applying information theory analysis for the solution of biomedical data processing problems. Am J Bioinform, 3(1): 17-29.
[38] Khokhlov AN (2010). From Carrel to Hayflick and back or what we got from the 100 years of cytogerontological studies. Biophysics, 55(5): 859-864.
[39] Safar P (2000). On the future of reanimatology. Acad Emerg Med, 7(1): 75-89.
[40] Rogatsky GG, Shifrin EG, Mayevsky A (2003). Optimal dosing as a necessary condition for the efficacy of hyperbaric oxygen therapy in acute ischemic stroke: a critical review. Neurol Res, 25(1): 95-98.
[41] Gerasimenko YP, Lu DC, Modaber M, Zdunowski S, Gad P, Sayenko DG, et al. (2015). Noninvasive reactivation of motor descending control after paralysis. J. Neurotrauma, 32(24): 1968-1980.
[42] Blokh D, Stambler I (2015). Information theoretical analysis of aging as a risk factor for heart disease. Aging Dis, 6(3): 196-207.
[43] Blokh D, Stambler I (2014). Estimation of heterogeneity in diagnostic parameters of age-related diseases. Aging Dis, 5(4): 218-225.
[44] Farber GK (2016). Can data repositories help find effective treatments for complex diseases? Prog Neurobiol, S0301-0082(15)30025-3.
[45] Stambler I. Life extension: opportunities, challenges, and implications for public health policy. In: Vaiserman A, editor. Anti-aging Drugs: From Basic Research to Clinical Practice. London: Royal Society of Chemistry; 2017, pp. 537-564.
[1] Tingting Sui,Di Liu,Tingjun Liu,Jichao Deng,Mao Chen,Yuanyuan Xu,Yuning Song,Hongsheng Ouyang,Liangxue Lai,Zhanjun Li. LMNA-mutated Rabbits: A Model of Premature Aging Syndrome with Muscular Dystrophy and Dilated Cardiomyopathy[J]. Aging and disease, 2019, 10(1): 102-115.
[2] Geraldo Rubens Ramos Freitas,Maria da Luz Fernandes,Fabiana Agena,Omar Jaluul,Sérgio Colenci Silva,Francine Brambate Carvalhinho Lemos,Verônica Coelho,David-Neto Elias,Nelson Zocoler Galante. Aging and End Stage Renal Disease Cause A Decrease in Absolute Circulating Lymphocyte Counts with A Shift to A Memory Profile and Diverge in Treg Population[J]. Aging and disease, 2019, 10(1): 49-61.
[3] Dong Liu,Liqun Xu,Xiaoyan Zhang,Changhong Shi,Shubin Qiao,Zhiqiang Ma,Jiansong Yuan. Snapshot: Implications for mTOR in Aging-related Ischemia/Reperfusion Injury[J]. Aging and disease, 2019, 10(1): 116-133.
[4] Wanying Duan, Yuehua Pu, Haiyan Liu, Jing Jing, Yuesong Pan, Xinying Zou, Yilong Wang, Xingquan Zhao, Chunxue Wang, Yongjun Wang, Ka Sing Lawrence Wong, Ling Wei, Liping Liu, . Association between Leukoaraiosis and Symptomatic Intracranial Large Artery Stenoses and Occlusions: the Chinese Intracranial Atherosclerosis (CICAS) Study[J]. Aging and disease, 2018, 9(6): 1074-1083.
[5] Calvin Pak-Wing Cheng, Sheung-Tak Cheng, Cindy Woon-Chi Tam, Wai-Chi Chan, Winnie Chiu-Wing Chu, Linda Chiu-Wa Lam. Relationship between Cortical Thickness and Neuropsychological Performance in Normal Older Adults and Those with Mild Cognitive Impairment[J]. Aging and disease, 2018, 9(6): 1020-1030.
[6] Yu-Wen Huang, Ming-Fu Chiang, Che-Sheng Ho, Pi-Lien Hung, Mei-Hsin Hsu, Tsung-Han Lee, Lichieh Julie Chu, Hsuan Liu, Petrus Tang, Wailap Victor Ng, Dar-Shong Lin. A Transcriptome Study of Progeroid Neurocutaneous Syndrome Reveals POSTN As a New Element in Proline Metabolic Disorder[J]. Aging and disease, 2018, 9(6): 1043-1057.
[7] Manuel Scimeca, Federica Centofanti, Monica Celi, Elena Gasbarra, Giuseppe Novelli, Annalisa Botta, Umberto Tarantino. Vitamin D Receptor in Muscle Atrophy of Elderly Patients: A Key Element of Osteoporosis-Sarcopenia Connection[J]. Aging and disease, 2018, 9(6): 952-964.
[8] Charlene Greenwood, John Clement, Anthony Dicken, Paul Evans, Iain Lyburn, Richard M. Martin, Nick Stone, Peter Zioupos, Keith Rogers. Age-Related Changes in Femoral Head Trabecular Microarchitecture[J]. Aging and disease, 2018, 9(6): 976-987.
[9] Junfen Fan, Xingyan An, Yanlei Yang, Haoying Xu, Linyuan Fan, Luchan Deng, Tao Li, Xisheng Weng, Jianmin Zhang, Robert Chunhua Zhao. MiR-1292 Targets FZD4 to Regulate Senescence and Osteogenic Differentiation of Stem Cells in TE/SJ/Mesenchymal Tissue System via the Wnt/β-catenin Pathway[J]. Aging and disease, 2018, 9(6): 1103-1121.
[10] Ashok K. Shetty, Maheedhar Kodali, Raghavendra Upadhya, Leelavathi N. Madhu. Emerging Anti-Aging Strategies - Scientific Basis and Efficacy[J]. Aging and disease, 2018, 9(6): 1165-1184.
[11] Ze Teng, Aibo Wang, Peng Wang, Rui Wang, Wei Wang, Hongbin Han. The Effect of Aquaporin-4 Knockout on Interstitial Fluid Flow and the Structure of the Extracellular Space in the Deep Brain[J]. Aging and disease, 2018, 9(5): 808-816.
[12] Stefano Rizza, Marina Cardellini, Alessio Farcomeni, Pasquale Morabito, Daniele Romanello, Giovanni Di Cola, Maria Paola Canale, Massimo Federici. Low Molecular Weight Adiponectin Increases the Mortality Risk in Very Old Patients[J]. Aging and disease, 2018, 9(5): 946-951.
[13] Patricia Sosa, Elena Alcalde-Estevez, Patricia Plaza, Nuria Troyano, Cristina Alonso, Laura Martinez-Arias, Andresa Evelem de Melo Aroeira, Diego Rodriguez-Puyol, Gemma Olmos, Susana Lopez-Ongil, Maria P. Ruiz-Torres. Hyperphosphatemia Promotes Senescence of Myoblasts by Impairing Autophagy Through Ilk Overexpression, A Possible Mechanism Involved in Sarcopenia[J]. Aging and disease, 2018, 9(5): 769-784.
[14] Stefanie Hardt, Lucie Valek, Jinyang Zeng-Brouwers, Annett Wilken-Schmitz, Liliana Schaefer, Irmgard Tegeder. Progranulin Deficient Mice Develop Nephrogenic Diabetes Insipidus[J]. Aging and disease, 2018, 9(5): 817-830.
[15] Yong-Fei Zhao, Qiong Zhang, Jian-Feng Zhang, Zhi-Yin Lou, Hen-Bing Zu, Zi-Gao Wang, Wei-Cheng Zeng, Kai Yao, Bao-Guo Xiao. The Synergy of Aging and LPS Exposure in a Mouse Model of Parkinson’s Disease[J]. Aging and disease, 2018, 9(5): 785-797.
Viewed
Full text


Abstract

Cited

  Shared   
Copyright © 2014 Aging and Disease, All Rights Reserved.
Address: Aging and Disease Editorial Office 3400 Camp Bowie Boulevard Fort Worth, TX76106 USA
Fax: (817) 735-0408 E-mail: editorial@aginganddisease.org
Powered by Beijing Magtech Co. Ltd