Literature DB >> 30881198

Focus on the emerging new fields of Network Physiology and Network Medicine.

Plamen Ch Ivanov1,2,3, Kang K L Liu1,4, Ronny P Bartsch5.   

Abstract

Despite the vast progress and achievements in systems biology and integrative physiology in the last decades, there is still a significant gap in understanding the mechanisms through which (i) genomic, proteomic and metabolic factors and signaling pathways impact vertical processes across cells, tissues and organs leading to the expression of different disease phenotypes and influence the functional and clinical associations between diseases, and (ii) how diverse physiological systems and organs coordinate their functions over a broad range of space and time scales and horizontally integrate to generate distinct physiologic states at the organism level. Two emerging fields, network medicine and network physiology, aim to address these fundamental questions. Novel concepts and approaches derived from recent advances in network theory, coupled dynamical systems, statistical and computational physics show promise to provide new insights into the complexity of physiological structure and function in health and disease, bridging the genetic and sub-cellular level with inter-cellular interactions and communications among integrated organ systems and sub-systems. These advances form first building blocks in the methodological formalism and theoretical framework necessary to address fundamental problems and challenges in physiology and medicine. This 'focus on' issue contains 26 articles representing state-of-the-art contributions covering diverse systems from the sub-cellular to the organism level where physicists have key role in laying the foundations of these new fields.

Entities:  

Year:  2016        PMID: 30881198      PMCID: PMC6415921          DOI: 10.1088/1367-2630/18/10/100201

Source DB:  PubMed          Journal:  New J Phys        ISSN: 1367-2630            Impact factor:   3.729


  38 in total

1.  Cardiorespiratory coordination reveals training-specific physiological adaptations.

Authors:  S Garcia-Retortillo; M Gacto; T J O'Leary; M Noon; R Hristovski; N Balagué; M G Morris
Journal:  Eur J Appl Physiol       Date:  2019-06-11       Impact factor: 3.078

2.  Deep learning in the cross-time frequency domain for sleep staging from a single-lead electrocardiogram.

Authors:  Qiao Li; Qichen Li; Chengyu Liu; Supreeth P Shashikumar; Shamim Nemati; Gari D Clifford
Journal:  Physiol Meas       Date:  2018-12-21       Impact factor: 2.833

3.  miRcorrNet: machine learning-based integration of miRNA and mRNA expression profiles, combined with feature grouping and ranking.

Authors:  Malik Yousef; Gokhan Goy; Ramkrishna Mitra; Christine M Eischen; Amhar Jabeer; Burcu Bakir-Gungor
Journal:  PeerJ       Date:  2021-05-19       Impact factor: 2.984

4.  Cardiorespiratory Coordination in Hypercapnic Test Before and After High-Altitude Expedition.

Authors:  Valentina V Gultyaeva; Dmitriy Y Uryumtsev; Margarita I Zinchenko; Vladimir N Melnikov; Natalia V Balioz; Sergey G Krivoschekov
Journal:  Front Physiol       Date:  2021-05-24       Impact factor: 4.566

5.  Is Human Walking a Network Medicine Problem? An Analysis Using Symbolic Regression Models with Genetic Programming.

Authors:  Pritika Dasgupta; James Alexander Hughes; Mark Daley; Ervin Sejdić
Journal:  Comput Methods Programs Biomed       Date:  2021-04-10       Impact factor: 7.027

6.  Heart Rate Variability as an Index of Differential Brain Dynamics at Rest and After Acute Stress Induction.

Authors:  Tara Chand; Meng Li; Hamidreza Jamalabadi; Gerd Wagner; Anton Lord; Sarah Alizadeh; Lena V Danyeli; Luisa Herrmann; Martin Walter; Zumrut D Sen
Journal:  Front Neurosci       Date:  2020-07-02       Impact factor: 4.677

7.  The Cardiorespiratory Network in Healthy First-Degree Relatives of Schizophrenic Patients.

Authors:  Steffen Schulz; Jens Haueisen; Karl-Jürgen Bär; Andreas Voss
Journal:  Front Neurosci       Date:  2020-06-16       Impact factor: 4.677

8.  Identifying and predicting Parkinson's disease subtypes through trajectory clustering via bipartite networks.

Authors:  Sanjukta Krishnagopal; Rainer von Coelln; Lisa M Shulman; Michelle Girvan
Journal:  PLoS One       Date:  2020-06-17       Impact factor: 3.240

9.  Editorial: Fractal and Multifractal Facets in the Structure and Dynamics of Physiological Systems and Applications to Homeostatic Control, Disease Diagnosis and Integrated Cyber-Physical Platforms.

Authors:  Paul Bogdan; András Eke; Plamen Ch Ivanov
Journal:  Front Physiol       Date:  2020-05-13       Impact factor: 4.566

Review 10.  A Brief Review of Chimera State in Empirical Brain Networks.

Authors:  Zhenhua Wang; Zonghua Liu
Journal:  Front Physiol       Date:  2020-06-30       Impact factor: 4.566

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