Download PDF by A.I. Yashin, S.M. Jazwinski, T. Fulop: Aging and Health - A Systems Biology Perspective

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By A.I. Yashin, S.M. Jazwinski, T. Fulop

ISBN-10: 3318027294

ISBN-13: 9783318027297

Getting older is an incredible probability issue for power ailments, which in flip supplies information regarding the getting older of a organic process. This e-book serves as an creation to platforms biology and its software to organic getting older. Key pathways and methods that impinge on getting older are reviewed, and the way they give a contribution to overall healthiness and disorder in the course of getting older is mentioned. The evolution of this case is analyzed, and the implications for the learn of genetic results on getting older are offered. Epigenetic programming of getting older, as a continuation of improvement, creates an interface among the genome and the surroundings. New study into the intestine microbiome describes how this interface might function in perform with marked outcomes for various issues. This research is strengthened by means of a view of the getting older organism as an entire, with conclusions concerning the mechanisms underlying resilience of the organism to alter, and is increased with a dialogue of circadian rhythms in getting older. eventually, the ebook provides an outlook for the advance of interventions to hold up or to opposite the beneficial properties of getting older. The booklet is usually recommended to scholars, researchers in addition to execs facing public wellbeing and fitness and public coverage with regards to an getting older society.

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43 Jeong H, Tombor B, Albert R, Oltvai ZN, Barabási A-L: The large-scale organization of metabolic networks. Nature 2000; 407:651–654. 44 Opsahl T, Agneessens F, Skvoretz J: Node centrality in weighted networks: generalizing degree and shortest paths. Soc Networks 2010; 32:245–251. 45 Jeong H, Mason SP, Barabasi AL, Oltvai ZN: Lethality and centrality in protein networks. Nature 2001; 411: 41–42. 46 Bonanno GA, Westphal M, Mancini AD: Resilience to loss and potential trauma. Annu Rev Clin Psychol 2011;7:511–535.

4 Longo VD, Shadel GS, Kaeberlein M, Kennedy B: Replicative and chronological aging in Saccharomyces cerevisiae. Cell Metab 2012; 16:18–31. 5 Steffen KK, Kennedy BK, Kaeberlein M: Measuring replicative life span in the budding yeast. J Vis Exp 2009; 28:1209. 6 Anderson RM, Bitterman KJ, Wood JG, Medvedik O, Sinclair DA: Nicotinamide and PNC1 govern lifespan extension by calorie restriction in Saccharomyces cerevisiae. Nature 2003;423: 181–185. 7 The Basic Biology of Aging. uwaging. org/genesdb/.

Thus, in order to understand complex systems, we must understand them through a reverse engineering perspective rather than a reductionist perspective. One approach to gaining this understanding is through the use of network representations of living systems. Fig. 1. Illustration of a sample C. elegans longevity gene-protein network. See Witten and Bonchev [2] for more details. Networks and Graphs In the previous chapter, we introduced the basics of network theoretic methods as a beginning means to understand the complexity of living systems.

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Aging and Health - A Systems Biology Perspective by A.I. Yashin, S.M. Jazwinski, T. Fulop


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