Relevant bibliographies by topics / Network physiology

Academic literature on the topic 'Network physiology'

Author: Grafiati
Published: 10 December 2022
Last updated: 24 February 2023

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Journal articles on the topic "Network physiology"

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Tyson, John J., Kathy Chen, and Bela Novak. "Network dynamics and cell physiology." Nature Reviews Molecular Cell Biology 2, no. 12 (December 2001): 908–16. http://dx.doi.org/10.1038/35103078.

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Scarpelli, Emile M. "Physiology of the alveolar surface network." Comparative Biochemistry and Physiology Part A: Molecular & Integrative Physiology 135, no. 1 (May 2003): 39–104. http://dx.doi.org/10.1016/s1095-6433(02)00352-5.

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Bartsch, Ronny P., Kang K. L. Liu, Amir Bashan, and Plamen Ch Ivanov. "Network Physiology: How Organ Systems Dynamically Interact." PLOS ONE 10, no. 11 (November 10, 2015): e0142143. http://dx.doi.org/10.1371/journal.pone.0142143.

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Ivanov, Plamen Ch, Kang K. L. Liu, and Ronny P. Bartsch. "Focus on the emerging new fields of network physiology and network medicine." New Journal of Physics 18, no. 10 (October 13, 2016): 100201. http://dx.doi.org/10.1088/1367-2630/18/10/100201.

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Ganguly, Jacky, Dinkar Kulshreshtha, Mohammed Almotiri, and Mandar Jog. "Muscle Tone Physiology and Abnormalities." Toxins 13, no. 4 (April 16, 2021): 282. http://dx.doi.org/10.3390/toxins13040282.

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The simple definition of tone as the resistance to passive stretch is physiologically a complex interlaced network encompassing neural circuits in the brain, spinal cord, and muscle spindle. Disorders of muscle tone can arise from dysfunction in these pathways and manifest as hypertonia or hypotonia. The loss of supraspinal control mechanisms gives rise to hypertonia, resulting in spasticity or rigidity. On the other hand, dystonia and paratonia also manifest as abnormalities of muscle tone, but arise more due to the network dysfunction between the basal ganglia and the thalamo-cerebello-cortical connections. In this review, we have discussed the normal homeostatic mechanisms maintaining tone and the pathophysiology of spasticity and rigidity with its anatomical correlates. Thereafter, we have also highlighted the phenomenon of network dysfunction, cortical disinhibition, and neuroplastic alterations giving rise to dystonia and paratonia.
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Adams, Natalie E., Laura E. Hughes, Matthew A. Rouse, Holly N. Phillips, Alexander D. Shaw, Alexander G. Murley, Thomas E. Cope, et al. "GABAergic cortical network physiology in frontotemporal lobar degeneration." Brain 144, no. 7 (March 12, 2021): 2135–45. http://dx.doi.org/10.1093/brain/awab097.

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Abstract The clinical syndromes caused by frontotemporal lobar degeneration are heterogeneous, including the behavioural variant frontotemporal dementia (bvFTD) and progressive supranuclear palsy. Although pathologically distinct, they share many behavioural, cognitive and physiological features, which may in part arise from common deficits of major neurotransmitters such as γ-aminobutyric acid (GABA). Here, we quantify the GABAergic impairment and its restoration with dynamic causal modelling of a double-blind placebo-controlled crossover pharmaco-magnetoencephalography study. We analysed 17 patients with bvFTD, 15 patients with progressive supranuclear palsy, and 20 healthy age- and gender-matched controls. In addition to neuropsychological assessment and structural MRI, participants undertook two magnetoencephalography sessions using a roving auditory oddball paradigm: once on placebo and once on 10 mg of the oral GABA reuptake inhibitor tiagabine. A subgroup underwent ultrahigh-field magnetic resonance spectroscopy measurement of GABA concentration, which was reduced among patients. We identified deficits in frontotemporal processing using conductance-based biophysical models of local and global neuronal networks. The clinical relevance of this physiological deficit is indicated by the correlation between top-down connectivity from frontal to temporal cortex and clinical measures of cognitive and behavioural change. A critical validation of the biophysical modelling approach was evidence from parametric empirical Bayes analysis that GABA levels in patients, measured by spectroscopy, were related to posterior estimates of patients’ GABAergic synaptic connectivity. Further evidence for the role of GABA in frontotemporal lobar degeneration came from confirmation that the effects of tiagabine on local circuits depended not only on participant group, but also on individual baseline GABA levels. Specifically, the phasic inhibition of deep cortico-cortical pyramidal neurons following tiagabine, but not placebo, was a function of GABA concentration. The study provides proof-of-concept for the potential of dynamic causal modelling to elucidate mechanisms of human neurodegenerative disease, and explains the variation in response to candidate therapies among patients. The laminar- and neurotransmitter-specific features of the modelling framework, can be used to study other treatment approaches and disorders. In the context of frontotemporal lobar degeneration, we suggest that neurophysiological restoration in selected patients, by targeting neurotransmitter deficits, could be used to bridge between clinical and preclinical models of disease, and inform the personalized selection of drugs and stratification of patients for future clinical trials.
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Zorec, R., V. Parpura, and A. Verkhratsky. "Astroglial vesicular network: evolutionary trends, physiology and pathophysiology." Acta Physiologica 222, no. 2 (August 3, 2017): e12915. http://dx.doi.org/10.1111/apha.12915.

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Abrous, Djoher Nora, Muriel Koehl, and Michel Le Moal. "Adult Neurogenesis: From Precursors to Network and Physiology." Physiological Reviews 85, no. 2 (April 2005): 523–69. http://dx.doi.org/10.1152/physrev.00055.2003.

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The discovery that the adult mammalian brain creates new neurons from pools of stemlike cells was a breakthrough in neuroscience. Interestingly, this particular new form of structural brain plasticity seems specific to discrete brain regions, and most investigations concern the subventricular zone (SVZ) and the dentate gyrus (DG) of the hippocampal formation (HF). Overall, two main lines of research have emerged over the last two decades: the first aims to understand the fundamental biological properties of neural stemlike cells (and their progeny) and the integration of the newly born neurons into preexisting networks, while the second focuses on understanding its relevance in brain functioning, which has been more extensively approached in the DG. Here, we propose an overview of the current knowledge on adult neurogenesis and its functional relevance for the adult brain. We first present an analysis of the methodological issues that have hampered progress in this field and describe the main neurogenic sites with their specificities. We will see that despite considerable progress, the levels of anatomic and functional integration of the newly born neurons within the host circuitry have yet to be elucidated. Then the intracellular mechanisms controlling neuronal fate are presented briefly, along with the extrinsic factors that regulate adult neurogenesis. We will see that a growing list of epigenetic factors that display a specificity of action depending on the neurogenic site under consideration has been identified. Finally, we review the progress accomplished in implicating neurogenesis in hippocampal functioning under physiological conditions and in the development of hippocampal-related pathologies such as epilepsy, mood disorders, and addiction. This constitutes a necessary step in promoting the development of therapeutic strategies.
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Jones, Dean P. "Mitochondrial network responses in oxidative physiology and disease." Free Radical Biology and Medicine 108 (July 2017): S5. http://dx.doi.org/10.1016/j.freeradbiomed.2017.04.044.

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Go, Young-Mi, Jolyn Fernandes, Xin Hu, Karan Uppal, and Dean P. Jones. "Mitochondrial network responses in oxidative physiology and disease." Free Radical Biology and Medicine 116 (February 2018): 31–40. http://dx.doi.org/10.1016/j.freeradbiomed.2018.01.005.

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Dissertations / Theses on the topic "Network physiology"

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Degabriele, Robert, University of Western Sydney, and of Informatics Science and Technology Faculty. "Stress and the immune network." THESIS_FIST_XXX_Degabriele_R.xml, 1999. http://handle.uws.edu.au:8081/1959.7/406.

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The clonal selection/defence paradigm appears unable to reconcile immune function with homeostatic activity whereas organismic homeostasis is central to immune function in the network/autopoiesis paradigm. The aim of this investigation, therefore, was to test the proposition that immune function, that is not clonally driven (central immune system activity), contributes to organismic homeostasis in collaboration with psychoneural responses. In one experiment sheep were confined, either in groups or individually, and the time course of changes in cortisol levels, behaviour and T lymphocyte numbers were monitored. In another study, soldiers were monitored during the stressful experience of recruit training. The combined results suggest that, at least when the immune response is not clonally driven, the psychoneural system and the central immune system may not be operating independently of each other but rather as sub-networks of the organismic network. Consequently, homeostasis is properly characterised as a property of the whole organism. In autopoietic terms, then, homeostasis could be defined as the maintenance of network stability.
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Degabriele, Robert. "Stress and the immune network." Thesis, Campbelltown, N.S.W. : University of Western Sydney, Macarthur, Faculty of Informatics, Science and Technology, 1999. http://handle.uws.edu.au:8081/1959.7/406.

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The clonal selection/defence paradigm appears unable to reconcile immune function with homeostatic activity whereas organismic homeostasis is central to immune function in the network/autopoiesis paradigm. The aim of this investigation, therefore, was to test the proposition that immune function, that is not clonally driven (central immune system activity), contributes to organismic homeostasis in collaboration with psychoneural responses. In one experiment sheep were confined, either in groups or individually, and the time course of changes in cortisol levels, behaviour and T lymphocyte numbers were monitored. In another study, soldiers were monitored during the stressful experience of recruit training. The combined results suggest that, at least when the immune response is not clonally driven, the psychoneural system and the central immune system may not be operating independently of each other but rather as sub-networks of the organismic network. Consequently, homeostasis is properly characterised as a property of the whole organism. In autopoietic terms, then, homeostasis could be defined as the maintenance of network stability.
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Degabriele, Robert. "Stress and the immune network /." Campbelltown, N.S.W. : University of Western Sydney, Macarthur, Faculty of Informatics, Science and Technology, 1999. http://library.uws.edu.au/adt-NUWS/public/adt-NUWS20030520.152905/index.html.

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Wikström, Martin. "Dopaminergic and serotonergic modulation of cellular and locomotor network properties in the lamprey spinal cord /." Stockholm, 1999. http://diss.kib.ki.se/1999/91-628-3731-1/.

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Walker, Valerie. "Human «ether-a-go-go» related gene trafficking is dependent on a cytosolic chaperone network." Thesis, McGill University, 2010. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=86804.

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Long QT Syndrome is a cardiac disorder associated with ventricular arrhythmias that can lead to syncope and sudden death. Loss of function mutations in the human ether-a-go-go related gene (hERG/KCNH2) potassium channel underlie type 2 long-QT syndrome (LQT2). Most often this loss of function is a consequence of defective trafficking of hERG mutants to the cell surface, with channel retention and degradation at the endoplasmic reticulum. This study began with a proteomics screen conducted to search for hERG-interacting proteins that were important for its folding, trafficking, and degradation. The resulting list of putative interactors was huge and included several known components of the cytosolic chaperone network which became the focus of this work. Among them were Hsc70 (70 kDa heat shock cognate protein), Hsp90 (90 kDa heat shock protein), DJA1, Hop (Hsp-organizing protein) and Bag-2 (BCL-associated athanogene 2) as well as the membrane-bound FKBP38 (38 kDa FK506-binding protein; FKBP8). We first demonstrate that FKBP38 immunoprecipitates and co-localizes with hERG in our cellular system and that siRNA knockdown of FKBP38 causes a reduction in hERG trafficking. Next, we identify DJA1 (DNAJA1) and DJA2 (DNAJA2) as key modulators of hERG degradation. Overexpression of the DJAs reduces hERG trafficking efficiency; an effect eliminated by the proteasomal inhibitor lactacystin or with DJA mutants lacking their J domains essential for Hsc70/Hsp70 activation. Both DJA1 and DJA2 cause a decrease in the amount of hERG complexed with Hsc70, indicating a preferential degradation of the complex. Similar effects were observed with the E3 ubiquitin ligase CHIP (C terminus of Hsc70 interacting protein). Finally, we investigate the specific role that these chaperones play in hERG folding. Development of a limited proteolysis assay is used to determine the folding state of hERG as well as its chaperone-dependence. Our results suggest that only subtle differences
Le syndrome du long QT est un trouble cardiaque associé à des arythmies ventriculaires qui peuvent conduire à des syncopes et à la mort subite. Les mutations conduisant à la perte de function de la gene de human ether-a-go-go related gene (hERG/KCNH2) cause le syndrome long QT de type 2 (LQT2). Le plus souvent, cette perte de fonction est une conséquence du trafic défectueux des mutants de hERG à la surface de la cellule, que font retenus et dégradé dans le réticulum endoplasmique. Cette étude a commencé par un criblage protéomique à la recherche des protéines que interagissent avec hERG et qui sont importantes pour son pliage, son trafic et sa dégradation. La liste des presumés protéins que interagissent est énorme et comprend plusieurs composants connus du reseau des chaperons citosoliques qui ont fait l'objet de ce travail. Parmi eux, Hsc70 (la protein connexe du choc thermique de 70 kDa), Hsp90 (la protein connexe du choc thermique de 90 kDa), DJA1, Hop (HSP-organisation de protéine) et de sacs-2 (BCL-associés athanogene 2) ainsi que de la FKBP38 membranaire (38 kDa FK506-binding protein; FKBP8). Nous avons d'abord démontré que FKBP38 immunoprecipite et co-localise avec hERG dans notre système cellulaire et que l'inhibition de la synthèse de FKBP38 par siRNA provoque une baisse du trafic du hERG. Ensuite, nous avons identifié DJA1 (DNAJA1) et DJA2 (DNAJA2) en tant que modulateurs clé de la dégradation du hERG. La surexpression de la DJAs réduit l'efficacité du traffic du hERG, un effet éliminé par un inhibiteur des protéosomes (lactacystin) ou avec des mutants dépourvus de leur domaines J Hsc70/Hsp70 essentiels pour l'activation. Les deux DJA1 et DJA2 entraînent une diminution de la quantité du complexe hERG-Hsc70, indiquant une dégradation préférentielle du complexe. Des effets similaires ont été observés avec la ligase E3 de l'ubiquitine CHIP (C terminus de Hsc70 interacting protein). Enfin, nous avons
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Gopal, Priyanka. "Network Analysis Reveals Aberrant Cell Signaling in Murine Diabetic Kidney." Case Western Reserve University School of Graduate Studies / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=case1427997192.

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Yin, Wenzhe. "Arabidopsis MS1 functions as a hub in the transcriptional regulatory network of late tapetum development." Thesis, University of Nottingham, 2017. http://eprints.nottingham.ac.uk/43214/.

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The development of the pollen grains within the anther locule relies upon the nourishing and secretory properties of a tissue layer termed tapetum. The transition of the post-meiotic phase of tapetum development depends on the MALE STERILITY 1. In the ms1 mutant tapetum development is arrested post-meiosis and lacks subsequent biological processes, such as biosynthesis and secretion of pollen wall/coat components and the tissue programmed cell death process. MS1 exhibits a transient expression pattern, which is tightly regulated and critical for tapetum development and viable pollen formation. Therefore, understanding the genetic control of MS1 is key to uncover the regulation of post-meiotic tapetum development. During this project, three regulation levels of MS1 were studied: (i) transcriptional activation, (ii) auto-repression and (iii) post-translational proteolysis. Phylogenetic footprinting analysis and molecular promoter dissection was used to investigate the transcriptional control of expression and a distal upstream sequence (−2900 to −2066 bp) was found to be essential for the activation of MS1. Three evolutionarily conserved non-coding sequences (CNS), enriched with unusually long consensus motifs, and binding site combinations of MS1 upstream transcription factors (TFs) were found within the −2 kb MS1 upstream sequence. These may serve as essential cis-regulatory elements (CREs) for MS1 expression. ChIP experiments were used to investigate MS1 autorepression; the MS1 protein was shown to bind to the second exon of its genomic locus and to repress its own expression. Post-translational proteolysis was investigated using a triple mutant of the MS1 interacting gene that encodes for an E3 ubiquitin ligase LRB1 and its two paralogs LRB2 and LRB3; which exhibits a novel tapetum phenotype that may be induced by altered removal of MS1 protein in the lrb123 tapetum. The MS1 protein possesses a Plant Homeotic Domain (PHD) finger and belongs to a plant-specific C-terminal PHD contained protein (CPCP) family. Although extensive research has been carried out on the tapetum regulation role of MS1, very little is known about the underlying molecular mechanism. A series in-silico comparative analysis of the CPCP sequences in this thesis found that this family originated from green algae. Besides the PHD, two evolutionarily conserved domains, termed MS1/MMD1 Associated Domain 1 (MAD1) and MAD2, were identified in the protein. Molecular modelling of the MS1 PHD domain predicted a histone reader role with high affinity to H3K4me2/3 histone peptides. Super-resolution STED confocal observation showed that subnuclear localisation of the MS1 protein is distinctive with canonical TFs and aggregates at rounded speckles that resemble Polycomb bodies. A meta-data-analysis of MS1 microarrays found that most MS1 immediately responding genes are repressed by MS1, which is on the contrary to the previously proposed activator role of MS1. MS1 may therefore be a unique plant-specific histone reader family protein that participates in gene repression as a co-repressor. MYB99 has previously been hypothesised to be a direct target of MS1, regulating late tapetum development. Comprehensive phenotyping was carried out on two MYB99 null alleles; however, no defects were identified, probably due to high function redundancy among the MYB family TFs. In addition, no evidence of direct activation by MS1 was observed by yeast one-hybrid and ChIP analysis. Interestingly, a PCD indicator gene was down-regulated in the myb99 mutant, suggesting a tapetal PCD regulatory role for MYB99.
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Turan, Nil. "A network inference approach to understanding musculoskeletal disorders." Thesis, University of Birmingham, 2014. http://etheses.bham.ac.uk//id/eprint/4863/.

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Musculoskeletal disorders are among the most important health problem affecting the quality of life and contributing to a high burden on healthcare systems worldwide. Understanding the molecular mechanisms underlying these disorders is crucial for the development of efficient treatments. In this thesis, musculoskeletal disorders including muscle wasting, bone loss and cartilage deformation have been studied using systems biology approaches. Muscle wasting occurring as a systemic effect in COPD patients has been investigated with an integrative network inference approach. This work has lead to a model describing the relationship between muscle molecular and physiological response to training and systemic inflammatory mediators. This model has shown for the first time that oxygen dependent changes in the expression of epigenetic modifiers and not chronic inflammation may be causally linked to muscle dysfunction. Bone and cartilage deformation observed in ageing, arthritis and multiple myeloma (MM) patients have also been investigated by using a novel modularization approach developed within this thesis. This methodology allows integration of multi-level dataset with large interaction networks. It aims to identify sub-networks with genes differentially expressed between experimental conditions that are co-regulated across samples in different biological systems. This study has identified several potential key players such as Myc, DUSP6 and components of Notch that could enhance osteogenic differentiation in MM patients. In conclusion, this thesis present the effectiveness of systems biology approaches in understanding complex diseases and these approaches could be applied for studying other systems and datasets.
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Tegnér, Jesper. "Modulation of cellular mechanisms in a spinal locomotor network : an experimental and computational study in Lamprey /." Stockholm, 1997. http://diss.kibic.ki.se/1997/19970902tegn.

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Krieger, Patrik. "On the role of metabotropic glutamate receptors in motor control : analysis of synaptic, cellular and network properties /." Stockholm, 2000. http://diss.kib.ki.se/2000/91-628-4449-0/.

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Books on the topic "Network physiology"

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S, Freier, ed. The Neuroendocrine-immune network. Boca Raton, Fla: CRC Press, 1990.

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Jacques, Thèze, ed. The cytokine network and immune functions. Oxford: Oxford University Press, 1999.

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Frishman, Dmitrij. Modern genome annotation: The BioSapiens Network. New York: Springer, 2009.

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Doreen, Wood, Bennett Peter B, and Westerfield Renée, eds. The Best of Alert Diver: The magazine of Divers Alert Network. Flagstaff, Ariz: Best Pub. Co., 1997.

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Modern genome annotation: The BioSapiens Network. New York: Springer, 2009.

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Pendarvis, Murray Paton. NetQuest: Exploring human anatomy and physiology. [Dubuque, IA]: WCB/McGraw-Hill, 1998.

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Lamoreux, M. Lynn. The colors of mice: A model genetic network. Chichester, West Sussex: Wiley-Blackwell, 2010.

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Vidyasagar, Mathukumalli. Computational Cancer Biology: An Interaction Network Approach. London: Springer London, 2012.

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Lynn, Lamoreux M., ed. The colors of mice: A model genetic network. Chichester, West Sussex: Wiley-Blackwell, 2010.

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Parker, Philip M., and James N. Parker. Fatigue: A medical dictionary, bibliography and annotated research guide to Internet references. San Diego, CA: ICON Health Publications, 2003.

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Book chapters on the topic "Network physiology"

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Chen, Shangbin, and Alexey Zaikin. "Metabolic Network." In Quantitative Physiology, 47–52. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-33-4033-6_6.

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Ivanov, Plamen Ch, and Ronny P. Bartsch. "Network Physiology: Mapping Interactions Between Networks of Physiologic Networks." In Understanding Complex Systems, 203–22. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-03518-5_10.

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Tadimety, Phani Raj. "Router Physiology 101." In OSPF: A Network Routing Protocol, 9–12. Berkeley, CA: Apress, 2015. http://dx.doi.org/10.1007/978-1-4842-1410-7_3.

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Welcome, Menizibeya Osain. "Intercellular Network of Junctions of the Gastrointestinal Tract." In Gastrointestinal Physiology, 201–25. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-91056-7_4.

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Ivanov, Plamen Ch, Kang K. L. Liu, Aijing Lin, and Ronny P. Bartsch. "Network Physiology: From Neural Plasticity to Organ Network Interactions." In Emergent Complexity from Nonlinearity, in Physics, Engineering and the Life Sciences, 145–65. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-47810-4_12.

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Klärner, Andreas, and Holger von der Lippe. "Social Network Mechanisms." In Social Networks and Health Inequalities, 49–65. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-97722-1_4.

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AbstractThe influence and significance of social networks in health research are becoming widely discussed. Sociological network research meets the demand for a stronger consideration of “contexts” or the “environment” that influences health and care. Social networks are conceived as a mediating meso-level, which mediates between social macro-structures (e.g., healthcare systems, institutions, and organizations) and individual (not always) rationally acting actors. This perspective offers the possibility to analyze a variety of psychosocial mechanisms. These mechanisms can influence individual health in different ways, including (health) behavior, psyche, or physiology. In this chapter we present some central theoretical concepts, as well as empirical results, on network effects under the headings of “social support,” “social integration,” “social influence,” and “social contagion.”
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Misgeld, U., and D. Swandulla. "Synaptic Synchronized Burst Activity in a Hypothalamic Network." In Physiology, Pharmacology and Development of Epileptogenic Phenomena, 7–10. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-46732-5_2.

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Arndt, M., P. Dicke, M. Erb, R. Eckhorn, and H. J. Reitboeck. "Two-Layered Physiology-Oriented Neuronal Network Models that Combine Dynamic Feature Linking via Synchronization with a Classical Associative Memory." In Neural Network Dynamics, 140–54. London: Springer London, 1992. http://dx.doi.org/10.1007/978-1-4471-2001-8_10.

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Ivanov, Plamen Ch, Jilin W. J. L. Wang, Xiyun Zhang, and Bolun Chen. "The New Frontier of Network Physiology: Emerging Physiologic States in Health and Disease from Integrated Organ Network Interactions." In 2019-20 MATRIX Annals, 237–54. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-62497-2_12.

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DeMeo, Dawn L. "Network Medicine and Systems Biology Considerations to Understand Sex Differences in Lung Disease." In Physiology in Health and Disease, 345–63. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-63549-7_12.

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Conference papers on the topic "Network physiology"

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Ivanov, Plamen Ch, Jilin W. J. L. Wang, and Xiyun Zhang. "Signal processing in Network Physiology: quantifying network dynamics of organ interactions." In 2020 28th European Signal Processing Conference (EUSIPCO). IEEE, 2021. http://dx.doi.org/10.23919/eusipco47968.2020.9287428.

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Yang, Hao-Chun, and Chi-Chun Lee. "A Siamese Content-Attentive Graph Convolutional Network for Personality Recognition Using Physiology." In ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2020. http://dx.doi.org/10.1109/icassp40776.2020.9054226.

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Wang, Yu. "Research on university student’s network deviant behaviors based on structural equation model." In 2016 2nd Chinese Youth’s Health Forum – Physiology, Psychology and Education. Asian Academic Press Co., Limited, 2017. http://dx.doi.org/10.24104/rmhe/2017.01.01001.

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Chang, Zimin. "Research on the Current Situation and Reform of Experimental Teaching of Exercise Physiology in Colleges." In 8th International Conference on Social Network, Communication and Education (SNCE 2018). Paris, France: Atlantis Press, 2018. http://dx.doi.org/10.2991/snce-18.2018.210.

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Branen, Andrew, Yuyu Yao, Mayuresh V. Kothare, Babak Mahmoudi, and Gautam Kumar. "Mapping Vagus Nerve Stimulation Parameters to Cardiac Physiology using Long Short-term Memory Network." In 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). IEEE, 2021. http://dx.doi.org/10.1109/embc46164.2021.9630667.

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Bencini, Luca, Francesco Chiti, Giovanni Collodi, Davide Di Palma, Romano Fantacci, Antonio Manes, and Gianfranco Manes. "Agricultural Monitoring Based on Wireless Sensor Network Technology: Real Long Life Deployments for Physiology and Pathogens Control." In 2009 Third International Conference on Sensor Technologies and Applications (SENSORCOMM). IEEE, 2009. http://dx.doi.org/10.1109/sensorcomm.2009.63.

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Milićević, Bogdan, Miloš Ivanović, Boban Stojanović, and Nenad Filipović. "HUXLEY SURROGATE MODEL FOR TWITCH MUSCLE CONTRACTION." In 1st INTERNATIONAL Conference on Chemo and BioInformatics. Institute for Information Technologies, University of Kragujevac,, 2021. http://dx.doi.org/10.46793/iccbi21.239m.

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Biophysical muscle models, often called Huxley-type models, are based on the underlying physiology of muscles, making them suitable for modeling non-uniform and unsteady contractions. This kind of model can be computationally intensive, which makes the usage of large-scale simulations difficult. To enable more efficient usage of the Huxley muscle model, we created a data-driven surrogate model, which behaves similarly to the original Huxley muscle model, but it requires significantly less computational power. From several numerical simulations, we acquired a lot of data and trained deep neural networks so that the behavior of the neural network resembles the behavior of the Huxley model. Since muscle models are history-dependent we used time series as an input and we trained a recurrent neural network to produce stress and instantaneous stiffness. The real challenge was to get the neural network to predict these values precisely enough for the numerical simulation to work properly and produce accurate results. In our work, we showed results obtained with the original Huxley model and surrogate Huxley model for several muscle twitch contractions. Based on similarities between the surrogate model and the original model we can conclude that the surrogate has the potential to replace the original model within numerical simulations.
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Dias, Grazielle Suhett, Aline Sereia, Lais Yamanaka, Paloma Rubin, Ana Christof, and Luiz Felipe Valter de Oliveira. "Probiome: knowing our second genome, the gut microbiota." In XIII Congresso Paulista de Neurologia. Zeppelini Editorial e Comunicação, 2021. http://dx.doi.org/10.5327/1516-3180.638.

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The gut microbiota a plays an important role in the physiology and pathology of the human body. In recent years, studies are unraveling how the gut microbiota influences not only health and gastrointesPnal disorders, but also other distal organs and systems. Recently, studies are been showing that gut’s bacteria can affect central nervous system physiology and inflammaPon. The gastrointesPnal tract and the nervous system communicate each other through a bidirecPonal signaling network known as brain-intesPne axis. This network is made up of mulPple connecPons that include vagus nerve, immune system and metabolisms, such as metabolites and products derived from intesPnal bacteria. Depression, MulPple Sclerosis, Alzheimer’s, Parkinson’s Disease and AuPsPc Spectrum Disorders are among the most studied neurological condiPons in the gut microbiota field. BiomeHub is a biotechnology StartUP that pioneered the development and performance of analyzes based on cuXngedge genomics and bioinformaPcs technologies applied to microbiology. The company developed the first validated Brazilian intesPnal microbiome test, which all steps are performed in Brazil, in its own infrastructure, using the state of the art in DNA sequencing technologies and analysis of biological data. Probiome is a molecular test capable of detecPng the complex bacteria community that make up the IntesPnal Microbiota, by sequencing the DNA of these bacteria. The growing knowledge accumulaPon about human microbiome allowed rapid advances and it has been building a solid foundaPon for the development of prognoses, diagnoses and clinical intervenPons, while it creates a new paradigm in personalized medicine. Probiome enables a targeted medical and nutriPonal approach through cross-checking between the profile data of the gut microbiota and the paPent clinical condiPons, assisPng in the elaboraPon of more accurate diets and therapies, selecPon of probioPcs and prebioPcs, among other approaches to gut microbiota intervenPons.
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Ecer, Emrullah. "The emotional effects of positive and negative news through the default mode network." In 2nd International Neuropsychological Summer School named after A. R. Luria “The World After the Pandemic: Challenges and Prospects for Neuroscience”. Ural University Press, 2020. http://dx.doi.org/10.15826/b978-5-7996-3073-7.14.

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News media can have a powerful effect on people’s physiology, thinking, and emotions. This study aims was to examine the effects of positive and negative news on optimism, pessimism, self.esteem, and depression. The survey covered students from the Department of Journalism of the University of Istanbul and involved 61 participants — 35 women and 26 men. While people from the first group were asked to read positive news, the second group read negative news. In order to measure the level of optimism and pessimism of our participants, they were asked then to choose at least four optimistic and pessimistic adjectives. Rosenberg Self. Esteem scale was used to determine changes in self.esteem and depression. Results suggested that people who read positive news were more optimistic about their future (M optimism = 5.92, SD = 1.75), and less pessimistic (M pessimism = .88, SD= 1.5). When people read negative news, they chose more pessimistic adjectives (M pessimism= 4.36, SD= 2.44), and fewer pessimistic ones (M optimism = 1.88, SD = 1.94). Moreovere, when people read positive news, they showed less signs of depression (M depression = 1.6, SD = .70) than when people read negative news (M depression = 3.06, SD = 1.37). Finally, we found no significant differences in the level of self.esteem when participants were exposed to positive and negative news.
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Zhang, Dajun, Sheldon Weinbaum, and Stephen C. Cowin. "Electrical Signal Transmission in a Bone Cell Network: The Influence of a Discrete Gap Junction." In ASME 1997 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 1997. http://dx.doi.org/10.1115/imece1997-0288.

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Abstract Live bone is a very dynamic tissue under constant remodeling in response to the mechanical loading it sustains. However, the exact load-sensing mechanism of bone tissue is not yet clear. Recent studies suggest that the electrical aspect of bone physiology, especially the streaming potential, may play an important role in relaying the mechanical signal to the effector bone cells in bone remodeling [1] [2] [3]. In this paper, we use cable theory to calculate the intracellular potential and current in the bone cell network induced by the extracellular strain generated streaming potentials (SGPs). As an extension to our earlier paper on this subject, Zhang et al. [5], we focus our attention on the following five aspects: <1> influence of the axisymmetric, cylindrical geometry of the osteon on the SGP calculation; <2> influence of one discrete gap junction in a cellular cable; <3> influence of a range of the membrane resistance (hence the membrane time constant); <4> influence of the extracellular glycocalyx (GAG) fiber matrix in the lacunae-canaliculi space on the SGP calculation; <5> influence of a range of the membrane leakage area of a resting osteoblast as one end of the cellular cable.
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Reports on the topic "Network physiology"

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Fait, Aaron, Grant Cramer, and Avichai Perl. Towards improved grape nutrition and defense: The regulation of stilbene metabolism under drought. United States Department of Agriculture, May 2014. http://dx.doi.org/10.32747/2014.7594398.bard.

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The goals of the present research proposal were to elucidate the physiological and molecular basis of the regulation of stilbene metabolism in grape, against the background of (i) grape metabolic network behavior in response to drought and of (ii) varietal diversity. The specific objectives included the study of the physiology of the response of different grape cultivars to continuous WD; the characterization of the differences and commonalities of gene network topology associated with WD in berry skin across varieties; the study of the metabolic response of developing berries to continuous WD with specific attention to the stilbene compounds; the integration analysis of the omics data generated; the study of isolated drought-associated stress factors on the regulation of stilbene biosynthesis in plantaand in vitro. Background to the topic Grape quality has a complex relationship with water input. Regulated water deficit (WD) is known to improve wine grapes by reducing the vine growth (without affecting fruit yield) and boosting sugar content (Keller et al. 2008). On the other hand, irregular rainfall during the summer can lead to drought-associated damage of fruit developmental process and alter fruit metabolism (Downey et al., 2006; Tarara et al., 2008; Chalmers et al., 792). In areas undergoing desertification, WD is associated with high temperatures. This WD/high temperature synergism can limit the areas of grape cultivation and can damage yields and fruit quality. Grapes and wine are the major source of stilbenes in human nutrition, and multiple stilbene-derived compounds, including isomers, polymers and glycosylated forms, have also been characterized in grapes (Jeandet et al., 2002; Halls and Yu, 2008). Heterologous expression of stilbenesynthase (STS) in a variety of plants has led to an enhanced resistance to pathogens, but in others the association has not been proven (Kobayashi et al., 2000; Soleas et al., 1995). Tomato transgenic plants harboring a grape STS had increased levels of resveratrol, ascorbate, and glutathione at the expense of the anthocyanin pathways (Giovinazzo et al. 2005), further emphasizing the intermingled relation among secondary metabolic pathways. Stilbenes are are induced in green and fleshy parts of the berries by biotic and abiotic elicitors (Chong et al., 2009). As is the case for other classes of secondary metabolites, the biosynthesis of stilbenes is not very well understood, but it is known to be under tight spatial and temporal control, which limits the availability of these compounds from plant sources. Only very few studies have attempted to analyze the effects of different environmental components on stilbene accumulation (Jeandet et al., 1995; Martinez-Ortega et al., 2000). Targeted analyses have generally shown higher levels of resveratrol in the grape skin (induced), in seeded varieties, in varieties of wine grapes, and in dark-skinned varieties (Gatto et al., 2008; summarized by Bavaresco et al., 2009). Yet, the effect of the grape variety and the rootstock on stilbene metabolism has not yet been thoroughly investigated (Bavaresco et al., 2009). The study identified a link between vine hydraulic behavior and physiology of stress with the leaf metabolism, which the PIs believe can eventually lead to the modifications identified in the developing berries that interested the polyphenol metabolism and its regulation during development and under stress. Implications are discussed below.
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