The Entropy Perspective on Human Illness and Aging
Received date: 02 Mar 2021
Published date: 24 Jan 2022
Zhiguo Wang . The Entropy Perspective on Human Illness and Aging[J]. Engineering, 2022 , 9(2) : 22 -26 . DOI: 10.1016/j.eng.2021.08.014
[1] |
Clausius R. Über verschiedene für die anwendung bequeme formen der hauptgleichungen der mechanischen wärmetheorie. Annalen der Physik und Chemie 1865;201(7):353–400. German.
|
[2] |
Dugdale JS. Entropy and its physical meaning. 2nd ed. Oxford: Taylor & Francis; 1996.
|
[3] |
Garcia-Martin JA, Clote P, Paci E. RNA thermodynamic structural entropy. PLoS ONE 2015;10(11):e0137859.
|
[4] |
Wallace ZS, Rosenthal SB, Fisch KM, Ideker T, Sasik R. On entropy and information in gene interaction networks. Bioinformatics 2019;35(5):815–22.
|
[5] |
Wand AJ, Sharp KA. Measuring entropy in molecular recognition by proteins. Annu Rev Biophys 2018;47(1):41–61.
|
[6] |
Navrátil V. Health, ageing and entropy. In: Evzˇen Rˇ, editor. School and health 21. Health literacy through education. Brno: Masaryk University; 2011. p. 329– 36.
|
[7] |
Silva C, Annamalai K. Entropy generation and human aging: lifespan entropy and effect of physical activity level. Entropy 2008;10(2):100–23.
|
[8] |
Martyushev LM, Seleznev VD. The restrictions of the maximum entropy production principle. Physica A 2014;410:17–21.
|
[9] |
Berretta R, Moscato P, Cho WCS. Cancer biomarker discovery: the entropic hallmark. PLoS ONE 2010;5(8):e12262.
|
[10] |
Nijman SMB. Perturbation-driven entropy as a source of cancer cell heterogeneity. Trends Cancer 2020;6(6):454–61.
|
[11] |
Tarabichi M, Antoniou A, Saiselet M, Pita JM, Andry G, Dumont JE, et al. Systems biology of cancer: entropy, disorder, and selection-driven evolution to independence, invasion and ‘‘swarm intelligence”. Cancer Metastasis Rev 2013;32(3–4):403–21.
|
[12] |
Banerji CRS, Severini S, Caldas C, Teschendorff AE, Tanay A. Intra-tumour signalling entropy determines clinical outcome in breast and lung cancer. PLoS Comput Biol 2015;11(3):e1004115.
|
[13] |
West J, Bianconi G, Severini S, Teschendorff AE. Differential network entropy reveals cancer system hallmarks. Sci Rep 2012;2(1):802.
|
[14] |
Teschendorff AE, Severini S. Increased entropy of signal transduction in the cancer metastasis phenotype. BMC Syst Biol 2010;4(1):104.
|
[15] |
Khandoker AH, Jelinek HF. Evaluating cardiovascular risk using the toneentropy algorithm. In: Lovell NH, Nguyen HT, Fotiadis DI, Dokos S, Feng DD, Jung TP, editors. 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC); 2013 Jul 3–7; Osaka, Japan. New York City: Curran Associates; 2013. p. 6139–41.
|
[16] |
Sen S, Dey A, Chowdhury S, Maulik U, Chattopadhyay K. Understanding the evolutionary trend of intrinsically structural disorders in cancer relevant proteins as probed by Shannon entropy scoring and structure network analysis. BMC Bioinf 2019;19(Suppl 13):549.
|
[17] |
Androulakis AFA, Zeppenfeld K, Paiman EHM, Piers SRD, Wijnmaalen AP, Siebelink HM, et al. Entropy as a novel measure of myocardial tissue heterogeneity for prediction of ventricular arrhythmias and mortality in post-infarct patients. JACC Clin Electrophysiol 2019;5(4):480–9.
|
[18] |
Muthalaly RG, Kwong RY, John RM, van der Geest RJ, Tao Q, Schaeffer B, et al. Left ventricular entropy is a novel predictor of arrhythmic events in patients with dilated cardiomyopathy receiving defibrillators for primary prevention. JACC Cardiovasc Imaging 2019;12(7):1177–84.
|
[19] |
Watanabe E, Kiyono K, Hayano J, Yamamoto Y, Inamasu J, Yamamoto M, et al. Multiscale entropy of the heart rate variability for the prediction of an ischemic stroke in patients with permanent atrial fibrillation. PLoS ONE 2015;10(9):e0137144.
|
[20] |
Dilger BT, Gill MC, Lenhart JG, Garrison GM. Visit entropy associated with diabetic control outcomes. J Am Board Fam Med 2019;32(5):739–45.
|
[21] |
Liu ZP, Gao R. Detecting pathway biomarkers of diabetic progression with differential entropy. J Biomed Inform 2018;82:143–53.
|
[22] |
Costa MD, Henriques T, Munshi MN, Segal AR, Goldberger AL. Dynamical glucometry: use of multiscale entropy analysis in diabetes. Chaos 2014;24 (3):033139.
|
[23] |
Bajic´ D, Ðajic´ V, Milovanovic´ B. Entropy analysis of COVID-19 cardiovascular signals. Entropy 2021;23(1):87.
|
[24] |
Xue SW, Guo Y. Increased resting-state brain entropy in Alzheimer’s disease. NeuroReport 2018;29(4):286–90.
|
[25] |
Azami H, Rostaghi M, Fernandez A, Escudero J. Dispersion entropy for the analysis of resting-state MEG regularity in Alzheimer’s disease. In: Valenza G, Nguyen HT, Fotiadis DI, Scilingo EP, Berger TW, Wenger C, editors. 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC); 2016 Aug 16–20; Orlando, FL, USA. New York City: Curran Associates; 2016. p. 6417–20.
|
[26] |
Kornev AP. Self-organization, entropy and allostery. Biochem Soc Trans 2018;46(3):587–97.
|
[27] |
Schweisguth F, Corson F. Self-organization in pattern formation. Dev Cell 2019;49(5):659–77.
|
[28] |
Silveira Da, dos Santos AX, Liberali P. From single cells to tissue selforganization. FEBS J 2019;286(8):1495–513.
|
[29] |
McCusker D, Kellogg D. Cellular self-organization: generating order from the abyss. Mol Biol Cell 2020;31(3):143–8.
|
[30] |
Sasai Y. Cytosystems dynamics in self-organization of tissue architecture. Nature 2013;493(7432):318–26.
|
[31] |
Karsenti E. Self-organization in cell biology: a brief history. Nat Rev Mol Cell Biol 2008;9(3):255–62.
|
[32] |
Misteli T. The self-organizing genome: principles of genome architecture and function. Cell 2020;183(1):28–45.
|
[33] |
Sthijns MMJPE, LaPointe VLS, van Blitterswijk CA. Building complex life through self-organization. Tissue Eng Part A 2019;25(19–20):1341–6.
|
[34] |
Loose M, Kruse K, Schwille P. Protein self-organization: lessons from the min system. Annu Rev Biophys 2011;40(1):315–36.
|
[35] |
Howard M, Kruse K. Cellular organization by self-organization: mechanisms and models for Min protein dynamics. J Cell Biol 2005;168(4):533–6.
|
[36] |
Van Weerd JH, Christoffels VM. The formation and function of the cardiac conduction system. Development 2016;143(2):197–210.
|
[37] |
Braakman R, Follows MJ, Chisholm SW. Metabolic evolution and the selforganization of ecosystems. Proc Natl Acad Sci USA 2017;114(15):E3091–100.
|
[38] |
Varahan S, Walvekar A, Sinha V, Krishna S, Laxman S. Metabolic constraints drive self-organization of specialized cell groups. eLife 2019;8:e46735.
|
[39] |
Davies PCW, Rieper E, Tuszynski JA. Self-organization and entropy reduction in a living cell. Biosystems 2013;111(1):1–10.
|
[40] |
Randow F, MacMicking JD, James LC. Cellular self-defense: how cellautonomous immunity protects against pathogens. Science 2013;340 (6133):701–6.
|
[41] |
Wang L, Whittemore K, Johnston SA, Stafford P. Entropy is a simple measure of the antibody profile and is an indicator of health status: a proof of concept. Sci Rep 2017;7(1):18060.
|
[42] |
Melis M, Littera R, Cocco E, Frau J, Lai S, Congeddu E, et al. Entropy of human leukocyte antigen and killer-cell immunoglobulin-like receptor systems in immune-mediated disorders: a pilot study on multiple sclerosis. PLoS ONE 2019;14(12):e0226615.
|
[43] |
Pantic I, Pantic S. Germinal center texture entropy as possible indicator of humoral immune response: immunophysiology viewpoint. Mol Imaging Biol 2012;14(5):534–40.
|
[44] |
Liu MK, Hawkins N, Ritchie AJ, Ganusov VV, Whale V, Brackenridge S, et al. Vertical T cell immunodominance and epitope entropy determine HIV-1 escape. J Clin Invest 2013;123(1):380–93.
|
[45] |
Chovatiya R, Medzhitov R. Stress, inflammation, and defense of homeostasis. Mol Cell 2014;54(2):281–8.
|
[46] |
Medzhitov R. Origin and physiological roles of inflammation. Nature 2008;454 (7203):428–35.
|
[47] |
Sies H, Jones DP. Reactive oxygen species (ROS) as pleiotropic physiological signalling agents. Nat Rev Mol Cell Biol 2020;21(7):363–83.
|
[48] |
Valko M, Leibfritz D, Moncol J, Cronin MTD, Mazur M, Telser J. Free radicals and antioxidants in normal physiological functions and human disease. Int J Biochem Cell Biol 2007;39(1):44–84.
|
[49] |
Lu S, Wei F, Li G. The evolution of the concept of stress and the framework of the stress system. Cell Stress 2021;5(6):76–85.
|
[50] |
Russell G, Lightman S. The human stress response. Nat Rev Endocrinol 2019;15 (9):525–34.
|
[51] |
Jo EK, Shin DM, Choi AMK. Autophagy: cellular defense to excessive inflammation. Microbes Infect 2012;14(2):119–25.
|
[52] |
Boya P, Reggiori F, Codogno P. Emerging regulation and functions of autophagy. Nat Cell Biol 2013;15(7):713–20.
|
[53] |
Estaquier J, Vallette F, Vayssiere JL, Mignotte B. The mitochondrial pathways of apoptosis. Adv Exp Med Biol 2012;942:157–83.
|
[54] |
Muñoz-Pinedo C. Signaling pathways that regulate life and cell death: evolution of apoptosis in the context of self-defense. Adv Exp Med Biol 2012;738:124–43.
|
[55] |
Clevers H, Loh KM, Nusse R. An integral program for tissue renewal and regeneration: Wnt signaling and stem cell control. Science 2014;346 (6205):1248012.
|
[56] |
Blanpain C, Fuchs E. Plasticity of epithelial stem cells in tissue regeneration. Science 2014;344(6189):1242281.
|
[57] |
Urciuolo A, Quarta M, Morbidoni V, Gattazzo F, Molon S, Grumati P, et al. Collagen VI regulates satellite cell self-renewal and muscle regeneration. Nat Commun 2013;4(1):1964.
|
[58] |
Carusillo A, Mussolino C. DNA damage: from threat to treatment. Cells 2020;9 (7):1665.
|
[59] |
Groothuizen FS, Sixma TK. The conserved molecular machinery in DNA mismatch repair enzyme structures. DNA Repair 2016;38:14–23.
|
[60] |
Wang M, Kaufman RJ. Protein misfolding in the endoplasmic reticulum as a conduit to human disease. Nature 2016;529(7586):326–35.
|
[61] |
Dobson CM. Protein folding and misfolding. Nature 2003;426(6968):884–90.
|
[62] |
Hartl FU. Protein misfolding diseases. Annu Rev Biochem 2017;86(1):21–6.
|
[63] |
Kemp CD, Conte JV. The pathophysiology of heart failure. Cardiovasc Pathol 2012;21(5):365–71.
|
[64] |
Bainbridge P. Wound healing and the role of fibroblasts. J Wound Care 2013;22 (8):407–12.
|
[65] |
Klose K, Gossen M, Stamm C. Turning fibroblasts into cardiomyocytes: technological review of cardiac transdifferentiation strategies. FASEB J 2019;33(1):49–70.
|
[66] |
McEwen BS. Stress, adaptation, and disease: allostasis and allostatic load. Ann N Y Acad Sci 1998;840(1):33–44.
|
[67] |
Shrier I. Muscle dysfunction versus wear and tear as a cause of exercise related osteoarthritis: an epidemiological update. Br J Sports Med 2004;38(5):526–35.
|
[68] |
Bonewald L. Use it or lose it to age: a review of bone and muscle communication. Bone 2019;120:212–8.
|
[69] |
Swaab DF. Brain aging and Alzheimer’s disease, ‘‘wear and tear” versus ‘‘use it or lose it”. Neurobiol Aging 1991;12(4):317–24.
|
[70] |
Brundel BJJM. The role of proteostasis derailment in cardiac diseases. Cells 2020;9(10):2317.
|
[71] |
Salminen A, Kaarniranta K. Genetics vs. entropy: longevity factors suppress the NF-jB-driven entropic aging process. Ageing Res Rev 2010;9(3):298–314.
|
[72] |
Salminen A, Ojala J, Huuskonen J, Kauppinen A, Suuronen T, Kaarniranta K. Interaction of aging-associated signaling cascades: inhibition of NF-jB signaling by longevity factors FoxOs and SIRT1. Cell Mol Life Sci 2008;65(7– 8):1049–58.
|
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