Literature DB >> 29700072

Taking Systems Medicine to Heart.

Kalliopi Trachana1, Rhishikesh Bargaje1, Gustavo Glusman1, Nathan D Price1, Sui Huang1,2, Leroy E Hood1.   

Abstract

Systems medicine is a holistic approach to deciphering the complexity of human physiology in health and disease. In essence, a living body is constituted of networks of dynamically interacting units (molecules, cells, organs, etc) that underlie its collective functions. Declining resilience because of aging and other chronic environmental exposures drives the system to transition from a health state to a disease state; these transitions, triggered by acute perturbations or chronic disturbance, manifest as qualitative shifts in the interactions and dynamics of the disease-perturbed networks. Understanding health-to-disease transitions poses a high-dimensional nonlinear reconstruction problem that requires deep understanding of biology and innovation in study design, technology, and data analysis. With a focus on the principles of systems medicine, this Review discusses approaches for deciphering this biological complexity from a novel perspective, namely, understanding how disease-perturbed networks function; their study provides insights into fundamental disease mechanisms. The immediate goals for systems medicine are to identify early transitions to cardiovascular (and other chronic) diseases and to accelerate the translation of new preventive, diagnostic, or therapeutic targets into clinical practice, a critical step in the development of personalized, predictive, preventive, and participatory (P4) medicine.
© 2018 American Heart Association, Inc.

Entities:  

Keywords:  cardiovascular disease; chronic disease; environmental exposure; genomics; systems biology

Mesh:

Substances:

Year:  2018        PMID: 29700072      PMCID: PMC5926821          DOI: 10.1161/CIRCRESAHA.117.310999

Source DB:  PubMed          Journal:  Circ Res        ISSN: 0009-7330            Impact factor:   17.367


  108 in total

Review 1.  Single-cell RNA sequencing to explore immune cell heterogeneity.

Authors:  Efthymia Papalexi; Rahul Satija
Journal:  Nat Rev Immunol       Date:  2017-08-07       Impact factor: 53.106

2.  High resolution time-course mapping of early transcriptomic, molecular and cellular phenotypes in Huntington's disease CAG knock-in mice across multiple genetic backgrounds.

Authors:  Seth A Ament; Jocelynn R Pearl; Andrea Grindeland; Jason St Claire; John C Earls; Marina Kovalenko; Tammy Gillis; Jayalakshmi Mysore; James F Gusella; Jong-Min Lee; Seung Kwak; David Howland; Min Young Lee; David Baxter; Kelsey Scherler; Kai Wang; Donald Geman; Jeffrey B Carroll; Marcy E MacDonald; George Carlson; Vanessa C Wheeler; Nathan D Price; Leroy E Hood
Journal:  Hum Mol Genet       Date:  2017-03-01       Impact factor: 6.150

3.  Human Blood Monocyte Subsets: A New Gating Strategy Defined Using Cell Surface Markers Identified by Mass Cytometry.

Authors:  Graham D Thomas; Anouk A J Hamers; Catherine Nakao; Paola Marcovecchio; Angela M Taylor; Chantel McSkimming; Anh Tram Nguyen; Coleen A McNamara; Catherine C Hedrick
Journal:  Arterioscler Thromb Vasc Biol       Date:  2017-06-08       Impact factor: 8.311

Review 4.  Operationalizing Precision Cardiovascular Medicine: Three Innovations.

Authors:  Jessica J Wang; Jamil A Aboulhosn; Ira S Hofer; Aman Mahajan; Yibin Wang; Thomas M Vondriska
Journal:  Circ Res       Date:  2016-10-14       Impact factor: 17.367

5.  Gain-of-function mutations of ARHGAP31, a Cdc42/Rac1 GTPase regulator, cause syndromic cutis aplasia and limb anomalies.

Authors:  Laura Southgate; Rajiv D Machado; Katie M Snape; Martin Primeau; Dimitra Dafou; Deborah M Ruddy; Peter A Branney; Malcolm Fisher; Grace J Lee; Michael A Simpson; Yi He; Teisha Y Bradshaw; Bettina Blaumeiser; William S Winship; Willie Reardon; Eamonn R Maher; David R FitzPatrick; Wim Wuyts; Martin Zenker; Nathalie Lamarche-Vane; Richard C Trembath
Journal:  Am J Hum Genet       Date:  2011-05-13       Impact factor: 11.025

6.  Mutations in EOGT confirm the genetic heterogeneity of autosomal-recessive Adams-Oliver syndrome.

Authors:  Ranad Shaheen; Mona Aglan; Kim Keppler-Noreuil; Eissa Faqeih; Shinu Ansari; Kim Horton; Adel Ashour; Maha S Zaki; Fatema Al-Zahrani; Anna M Cueto-González; Ghada Abdel-Salam; Samia Temtamy; Fowzan S Alkuraya
Journal:  Am J Hum Genet       Date:  2013-03-21       Impact factor: 11.025

7.  Gut Microbiome Associates With Lifetime Cardiovascular Disease Risk Profile Among Bogalusa Heart Study Participants.

Authors:  Tanika N Kelly; Lydia A Bazzano; Nadim J Ajami; Hua He; Jinying Zhao; Joseph F Petrosino; Adolfo Correa; Jiang He
Journal:  Circ Res       Date:  2016-08-09       Impact factor: 17.367

Review 8.  Concise Review: Cardiac Disease Modeling Using Induced Pluripotent Stem Cells.

Authors:  Chunbo Yang; Jumana Al-Aama; Miodrag Stojkovic; Bernard Keavney; Andrew Trafford; Majlinda Lako; Lyle Armstrong
Journal:  Stem Cells       Date:  2015-06-23       Impact factor: 6.277

9.  Lipidomics profiling and risk of cardiovascular disease in the prospective population-based Bruneck study.

Authors:  Christin Stegemann; Raimund Pechlaner; Peter Willeit; Sarah R Langley; Massimo Mangino; Ursula Mayr; Cristina Menni; Alireza Moayyeri; Peter Santer; Gregor Rungger; Tim D Spector; Johann Willeit; Stefan Kiechl; Manuel Mayr
Journal:  Circulation       Date:  2014-03-12       Impact factor: 29.690

10.  Heart Rate Detection Using Microsoft Kinect: Validation and Comparison to Wearable Devices.

Authors:  Ennio Gambi; Angela Agostinelli; Alberto Belli; Laura Burattini; Enea Cippitelli; Sandro Fioretti; Paola Pierleoni; Manola Ricciuti; Agnese Sbrollini; Susanna Spinsante
Journal:  Sensors (Basel)       Date:  2017-08-02       Impact factor: 3.576

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  15 in total

1.  Omics, Big Data, and Precision Medicine in Cardiovascular Sciences.

Authors:  Edward Lau; Joseph C Wu
Journal:  Circ Res       Date:  2018-04-27       Impact factor: 17.367

2.  Heart rate fragmentation: using cardiac pacemaker dynamics to probe the pace of biological aging.

Authors:  Madalena D Costa; Ary L Goldberger
Journal:  Am J Physiol Heart Circ Physiol       Date:  2019-04-05       Impact factor: 4.733

3.  Cardioinformatics: the nexus of bioinformatics and precision cardiology.

Authors:  Bohdan B Khomtchouk; Diem-Trang Tran; Kasra A Vand; Matthew Might; Or Gozani; Themistocles L Assimes
Journal:  Brief Bioinform       Date:  2020-12-01       Impact factor: 11.622

4.  Multimorbidity: Implications and directions for health psychology and behavioral medicine.

Authors:  Jerry Suls; Paige A Green; Cynthia M Boyd
Journal:  Health Psychol       Date:  2019-09       Impact factor: 4.267

5.  An integrative model of cardiometabolic traits identifies two types of metabolic syndrome.

Authors:  Amit Frishberg; Inge van den Munckhof; Niels P Riksen; Irit Gat-Viks; Rob Ter Horst; Kiki Schraa; Leo Ab Joosten; Joost Hw Rutten; Adrian C Iancu; Ioana M Dregoesc; Bogdan A Tigu; Mihai G Netea
Journal:  Elife       Date:  2021-01-28       Impact factor: 8.140

Review 6.  Systems biology in cardiovascular disease: a multiomics approach.

Authors:  Abhishek Joshi; Marieke Rienks; Konstantinos Theofilatos; Manuel Mayr
Journal:  Nat Rev Cardiol       Date:  2020-12-18       Impact factor: 32.419

Review 7.  Platelet Proteomes, Pathways, and Phenotypes as Informants of Vascular Wellness and Disease.

Authors:  Joseph E Aslan
Journal:  Arterioscler Thromb Vasc Biol       Date:  2021-01-14       Impact factor: 8.311

8.  Identification of disease treatment mechanisms through the multiscale interactome.

Authors:  Camilo Ruiz; Marinka Zitnik; Jure Leskovec
Journal:  Nat Commun       Date:  2021-03-19       Impact factor: 14.919

Review 9.  Epigenetics in atrial fibrillation: A reappraisal.

Authors:  Rosa Doñate Puertas; Rishi Arora; Sophie Rome; Babken Asatryan; H Llewelyn Roderick; Philippe Chevalier
Journal:  Heart Rhythm       Date:  2021-01-10       Impact factor: 6.779

Review 10.  The role of inflammation and genetics in periodontal disease.

Authors:  Bruno G Loos; Thomas E Van Dyke
Journal:  Periodontol 2000       Date:  2020-06       Impact factor: 7.589

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