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Cite as
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Titolo completo
PNEI REVIEW
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Editore
FrancoAngeli
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ISSN
2532-6147 (Rivista Stampata)
2532-2826 (Rivista Online)
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Numero del fascicolo
1
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Designazione del fascicolo
1
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Data del fascicolo
2025
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Titolo completo
Loopomics: A possible breakthrough in the understanding and control of life
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Di (autore)
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Prima Pagina
1
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Ultima Pagina
13
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Lingua del testo
Inglese
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Data di publicazione
2025/02
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Copyright
2025 FrancoAngeli srl
Descrizione principale
Life sciences face challenges in developing theoretical frameworks for operating on biological systems. This is evident when considering disappointing results in biomedicine, as many diseases remain poorly understood despite decades of intensive efforts. The complexity of living systems is often cited as the reason for these shortcomings. To address these challenges, I have proposed a new definition of life, which I call Loopomics. According to this new paradigm, life is defined as any natural entity consisting of agents that produce physical changes, interconnected through chains of interactions that form closed loops. These loops create nonlinear systems whose dynamics are known to be characterized by single equilibrium points or transitions between different equilibrium points. The number of equilibrium points is determined by the kind of loop but is modified by bifurcation parameters, whose variation over time can significantly alter the behavior of the system. Thus, bifurcation parameters are key targets for interventions aimed at acquiring control of these systems. Biological loops give rise to ordered and predictable accumulations of materials that realize epiphenomena, including subcellular organelles, cells, tissues, organs, and organisms.These epiphenomena do not help in conceptualizing life and can be only used to identify, map, and manipulate the loop systems. The verification of the Loopomics hypothesis can be carried out by developing loop models of pathogenesis, identifying bifurcation parameters, and addressing them as therapeutic targets. If this approach is successful, it would provide positive validation for the hypothesis and could chart a new direction for biomedical research and applied biology.
Elenco citazioni del
10.3280/pnei2025oa19417
Citazione non strutturata
Angeli D., Ferrell J.E., & Sontag E.D. (2004). Detection of multistability, bifurcations, and hysteresis in a large class
of biological positive-feedback systems. Proceedings of the National Academy of Sciences, 101(7), 1822-1827.
https://doi.org/10.1073/pnas.0308265100
Citazione non strutturata
Benner S.A. (2010). Defining Life. Astrobiology, 10(10), 1021-1030.
https://doi.org/10.1089/ast.2010.0524
Citazione non strutturata
Blanchini F., Franco E., & Giordano G. (2014). A Structural Classification of Candidate Oscillatory and Multistationary Biochemical
Systems. Bulletin of Mathematical Biology, 76(10), 2542-2569.
https://doi.org/10.1007/s11538-014-0023-y
Citazione non strutturata
Burlando B. (2017). Loopomics: a new functional approach to life. Journal of Applied Physiology, 123(4), 1011-1013.
https://doi.org/10.1152/japplphysiol.00173.2017
Citazione non strutturata
Burlando B. (2022). A general hypothesis of multistable systems in pathophysiology. F1000Research, 11, 906.
https://doi.org/10.12688/f1000research.123183.3
Citazione non strutturata
Burlando B., & Demori I. (2024). Neurosteroids as a possible new horizon in the treatment of fibromyalgia. Medical Hypotheses,
191, 111444.
https://doi.org/10.1016/j.mehy.2024.111444
Citazione non strutturata
Burlando B., Losacco S., Villa V., Fedele E., & Ricciarelli R. (2022). A New Bistable Switch Model of Alzheimer’s Disease
Pathogenesis. International Journal of Molecular Sciences, 23(13), 7061.
https://doi.org/10.3390/ijms23137061
Citazione non strutturata
Burlando B., Milanese M., Giordano G., Bonifacino T., Ravera S., Blanchini F., & Bonanno G. (2020). A multistationary loop
model of ALS unveils critical molecular interactions involving mitochondria and glucose metabolism. PLOS ONE, 15(12), e0244234.
https://doi.org/10.1371/journal.pone.0244234
Citazione non strutturata
Campbell A.K. (2003). Save those molecules! Molecular biodiversity and life*. Journal of Applied Ecology, 40(2), 193-203.
https://doi.org/10.1046/j.1365-2664.2003.00803.x
Citazione non strutturata
Demori I., Giordano G., Mucci V., Losacco S., Marinelli L., Massobrio P., Blanchini F., & Burlando B. (2022). Thalamocortical
bistable switch as a theoretical model of fibromyalgia pathogenesis inferred from a literature survey. Journal of Computational
Neuroscience, 50(4), 471-484.
https://doi.org/10.1007/s10827-022-00826-8
Citazione non strutturata
Demori I., Losacco S., Giordano G., Mucci V., Blanchini F., & Burlando B. (2024). Fibromyalgia pathogenesis explained by a
neuroendocrine multistable model. PLOS ONE, 19(7), e0303573.
https://doi.org/10.1371/journal.pone.0303573
Citazione non strutturata
Dhar P.K., & Giuliani A. (2010). Laws of biology: why so few? Systems and Synthetic Biology, 4(1), 7-13.
https://doi.org/10.1007/s11693-009-9049-0
Citazione non strutturata
Domijan M., & Pécou E. (2012). The interaction graph structure of mass-action reaction networks. Journal of Mathematical Biology,
65(2), 375-402.
https://doi.org/10.1007/s00285-011-0462-0
Citazione non strutturata
El-Samad H. (2021). Biological feedback control - Respect the loops. Cell Systems, 12(6), 477-487.
https://doi.org/10.1016/j.cels.2021.05.004
Citazione non strutturata
Evans W., Meslin E.M., Kai J., & Qureshi N. (2024). Precision Medicine - Are We There Yet? A Narrative Review of Precision
Medicine’s Applicability in Primary Care. Journal of Personalized Medicine, 14(4), 418.
https://doi.org/10.3390/jpm14040418
Citazione non strutturata
Feynman R.P., Leighton R.B., & Sands M.L. (1963). The Feynman lectures on physics (Vol. 3). Reading, Massachussets: Addison-Wesley.
Citazione non strutturata
Gesztelyi R., Zsuga J., Kemeny-Beke A., Varga B., Juhasz B., & Tosaki A. (2012). The Hill equation and the origin of quantitative
pharmacology. Archive for History of Exact Sciences, 66(4), 427-438.
https://doi.org/10.1007/s00407-012-0098-5
Citazione non strutturata
Gómez-Márquez J. (2021). What is life? Molecular Biology Reports, 48(8), 6223-6230.
https://doi.org/10.1007/s11033-021-06594-5
Citazione non strutturata
Holyst R., Bubak G., Kalwarczyk T., Kwapiszewska K., Michalski J., & Pilz M. (2024). Living Cell as a Self-Synchronized Chemical
Reactor. The Journal of Physical Chemistry Letters, 15(13), 3559-3570.
https://doi.org/10.1021/acs.jpclett.4c00190
Citazione non strutturata
Jheeta S. (2017). The Landscape of the Emergence of Life. Life, 7(2), 27.
https://doi.org/10.3390/life7020027
Citazione non strutturata
Lorenz N.L. (1993). The essence of Chaos. Seattle, WA, USA: University of Washington.
https://doi.org/10.4324/9780203214589
Citazione non strutturata
Luenberger D.G. (1979). Introduction to Dynamic Systems: Theory, Models, and Applications. New York, NY, USA: Wiley.
Citazione non strutturata
Maiarú M., Hollywood A., & Trimboli M. (2023). Editorial: From bench to bedside: the challenge of chronic pain. Frontiers
in Pain Research, 4, 1271468.
https://doi.org/10.3389/fpain.2023.1271468
Citazione non strutturata
Naylor S., & Chen J.Y. (2010). Unraveling Human Complexity and Disease with Systems Biology and Personalized Medicine. Personalized
Medicine, 7(3), 275-289.
https://doi.org/10.2217/pme.10.16
Citazione non strutturata
Petrov D., Mansfield C., Moussy A., & Hermine O. (2017). ALS Clinical Trials Review: 20 Years of Failure. Are We Any Closer
to Registering a New Treatment? Frontiers in Aging Neuroscience, 9.
https://doi.org/10.3389/fnagi.2017.00068
Citazione non strutturata
Portugali J. (2023). Schrödinger’s What is Life? - Complexity, Cognition and the City. Entropy, 25(6), 872.
https://doi.org/10.3390/e25060872
Citazione non strutturata
Rombouts J., & Gelens L. (2021). Dynamic bistable switches enhance robustness and accuracy of cell cycle transitions. PLOS
Computational Biology, 17(1), e1008231.
https://doi.org/10.1371/journal.pcbi.1008231
Citazione non strutturata
Silver R.A. (2010). Neuronal arithmetic. Nature Reviews Neuroscience, 11(7), 474-489.
https://doi.org/10.1038/nrn2864
Citazione non strutturata
Tsumoto K., Ueta T., Yoshinaga T., & Kawakami H. (2012). Bifurcation analyses of nonlinear dynamical systems: From theory
to numerical computations. Nonlinear Theory and Its Applications, IEICE, 3(4), 458-476.
https://doi.org/10.1587/nolta.3.458
Citazione non strutturata
Vittadello S.T., & Stumpf M.P.H. (2022). Open problems in mathematical biology. Mathematical Biosciences, 354, 108926.
https://doi.org/10.1016/j.mbs.2022.108926
Citazione non strutturata
Watanabe R., Okano T., Gon T., Yoshida N., Fukumoto K., Yamada S., & Hashimoto M. (2022). Difficult-to-treat rheumatoid arthritis:
Current concept and unsolved problems. Frontiers in Medicine, 9, 1049875.
https://doi.org/10.3389/fmed.2022.1049875