Literature DB >> 34837217

The Intelligent Phenotypic Plasticity Platform (IP3) for Precision Medicine-Based Injury Prevention in Sport.

Adam W Kiefer1, Cortney N Armitano-Lago2, Anoop Sathyan3, Ryan MacPherson2, Kelly Cohen3, Paula L Silva4.   

Abstract

The best predictor of future injury is previous injury and this has not changed in a quarter century despite the introduction of evidence-based medicine and associated revisions to post-injury treatment and care. Nearly nine million sports-related injuries occur annually, and the majority of these require medical intervention prior to clearance for the athlete to return to play (RTP). Regardless of formal care, these athletes remain two to four times more likely to suffer a second injury for several years after RTP. In the case of children and young adults, this sets them up for a lifetime of negative health outcomes. Thus, the initial injury is the tipping point for a post-injury cascade of negative sequelae exposing athletes to more physical and psychological pain, higher medical costs, and greater risk of severe long-term negative health throughout their life. This chapter details the technologies and method that make up the automated Intelligent Phenotypic Plasticity Platform (IP3)-a revolutionary new approach to the current standard of post-injury care that identifies and targets deficits that underly second injury risk in sport. IP3 capitalizes on the biological concept of phenotypic plasticity (PP) to quantify an athlete's functional adaptability across different performance environments, and it is implemented in two distinct steps: (1) phenomic profiling and (2) precision treatment. Phenomic profiling indexes the fitness and subsequent phenotypic plasticity of an individual athlete, which drives the personalization of the precision treatment step. IP3 leverages mixed-reality technologies to present true-to-life environments that test the athlete's ability to adapt to dynamic stressors. The athlete's phenotypic plasticity profile is then used to drive a precision treatment that systematically stresses the athlete, via a combination of behavioral-based and genetic fuzzy system models, to optimally enhance the athlete's functional adaptability. IP3 is computationally light-weight and, through the integration with mixed-reality technologies, promotes real-time prediction, responsiveness, and adaptation. It is also the first ever phenotypic plasticity-based precision medicine platform, and the first precision sports medicine platform of any kind.
© 2022. Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Fitness; Genetic fuzzy systems; Injury prevention; Mixed-reality; Musculoskeletal injury; Phenomics; Phenotypic plasticity; Precision medicine

Mesh:

Year:  2022        PMID: 34837217      PMCID: PMC9100860          DOI: 10.1007/978-1-0716-1803-5_47

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  41 in total

1.  High risk of new knee injury in elite footballers with previous anterior cruciate ligament injury.

Authors:  M Waldén; M Hägglund; J Ekstrand
Journal:  Br J Sports Med       Date:  2006-02       Impact factor: 13.800

2.  Filtering the surface EMG signal: Movement artifact and baseline noise contamination.

Authors:  Carlo J De Luca; L Donald Gilmore; Mikhail Kuznetsov; Serge H Roy
Journal:  J Biomech       Date:  2010-03-05       Impact factor: 2.712

3.  A new initiative on precision medicine.

Authors:  Francis S Collins; Harold Varmus
Journal:  N Engl J Med       Date:  2015-01-30       Impact factor: 91.245

4.  Measurement and reduction of noise in kinematics of locomotion.

Authors:  D A Winter; H G Sidwall; D A Hobson
Journal:  J Biomech       Date:  1974-03       Impact factor: 2.712

5.  Quadriceps and hamstrings peak torque ratio changes in persons with chronic anterior cruciate ligament deficiency.

Authors:  A St Clair Gibson; M I Lambert; J J Durandt; N Scales; T D Noakes
Journal:  J Orthop Sports Phys Ther       Date:  2000-07       Impact factor: 4.751

Review 6.  Hormetic dose-response relationships in immunology: occurrence, quantitative features of the dose response, mechanistic foundations, and clinical implications.

Authors:  Edward J Calabrese
Journal:  Crit Rev Toxicol       Date:  2005 Feb-Mar       Impact factor: 5.635

Review 7.  Effect of neurocognition and concussion on musculoskeletal injury risk.

Authors:  Daniel C Herman; Jason L Zaremski; Heather K Vincent; Kevin R Vincent
Journal:  Curr Sports Med Rep       Date:  2015 May-Jun       Impact factor: 1.733

8.  Two-year prospective study of relative risk of a second cerebral concussion.

Authors:  Eric D Zemper
Journal:  Am J Phys Med Rehabil       Date:  2003-09       Impact factor: 2.159

Review 9.  The human gene map for performance and health-related fitness phenotypes: the 2006-2007 update.

Authors:  Molly S Bray; James M Hagberg; Louis Pérusse; Tuomo Rankinen; Stephen M Roth; Bernd Wolfarth; Claude Bouchard
Journal:  Med Sci Sports Exerc       Date:  2009-01       Impact factor: 5.411

10.  The relationship between previous hamstring injury and the concentric isokinetic knee muscle strength of Irish Gaelic footballers.

Authors:  Kieran O'Sullivan; Brian O'Ceallaigh; Kevin O'Connell; Amir Shafat
Journal:  BMC Musculoskelet Disord       Date:  2008-03-06       Impact factor: 2.362

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  1 in total

Review 1.  Exercise Selection and Common Injuries in Fitness Centers: A Systematic Integrative Review and Practical Recommendations.

Authors:  Diego A Bonilla; Luis A Cardozo; Jorge M Vélez-Gutiérrez; Adrián Arévalo-Rodríguez; Salvador Vargas-Molina; Jeffrey R Stout; Richard B Kreider; Jorge L Petro
Journal:  Int J Environ Res Public Health       Date:  2022-10-05       Impact factor: 4.614

  1 in total

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