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A pilot retrospective study of a physician-directed and genomics-based model for precision lifestyle medicine

Precision lifestyle medicine is a relatively new field in primary care, based on the hypothesis that genetic predispositions influence an individual’s response to specific interventions such as diet, exercise, and prescription medications. Despite the increase in commercially available genomic testi...

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Autores principales: Mallin, Michael, Hall, Jane, Herlihy, Maria, Gelman, Eduard J., Stone, Michael B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10629614/
https://www.ncbi.nlm.nih.gov/pubmed/37942418
http://dx.doi.org/10.3389/fmed.2023.1239737
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author Mallin, Michael
Hall, Jane
Herlihy, Maria
Gelman, Eduard J.
Stone, Michael B.
author_facet Mallin, Michael
Hall, Jane
Herlihy, Maria
Gelman, Eduard J.
Stone, Michael B.
author_sort Mallin, Michael
collection PubMed
description Precision lifestyle medicine is a relatively new field in primary care, based on the hypothesis that genetic predispositions influence an individual’s response to specific interventions such as diet, exercise, and prescription medications. Despite the increase in commercially available genomic testing, few studies have investigated effects of a physician-directed program to optimize chronic disease using genomics-based precision medicine. We performed an pilot, observational cohort study to evaluate effects of the Wild Health program, a physician and health coach service offering genomics-based lifestyle and medical interventions, on biomarkers indicative of chronic disease. 871 patients underwent genomic testing, biomarker testing, and ongoing health coaching after initial medical consultation by a physician. Improvements in several clinically relevant out-of-range biomarkers at baseline were identified in a large proportion of patients treated through lifestyle intervention without the use of prescription medication. Notably, normalization of several biomarkers associated with chronic disease occurred in 47.5% (hemoglobin A1c [HbA1c]), 33.3% (low density lipoprotein particle number [LDL-P]), and 33.2% (C-reactive protein [CRP]). However, due to the inherent limitations of our observational study design and use of retrospective data, ongoing work will be crucial for continuing to shed light on the effectiveness of physician-led, genomics-based lifestyle coaching programs. Future studies would benefit from implementing a randomized controlled study design, tracking specific interventions, and evaluating physiological data, such as BMI.
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spelling pubmed-106296142023-11-08 A pilot retrospective study of a physician-directed and genomics-based model for precision lifestyle medicine Mallin, Michael Hall, Jane Herlihy, Maria Gelman, Eduard J. Stone, Michael B. Front Med (Lausanne) Medicine Precision lifestyle medicine is a relatively new field in primary care, based on the hypothesis that genetic predispositions influence an individual’s response to specific interventions such as diet, exercise, and prescription medications. Despite the increase in commercially available genomic testing, few studies have investigated effects of a physician-directed program to optimize chronic disease using genomics-based precision medicine. We performed an pilot, observational cohort study to evaluate effects of the Wild Health program, a physician and health coach service offering genomics-based lifestyle and medical interventions, on biomarkers indicative of chronic disease. 871 patients underwent genomic testing, biomarker testing, and ongoing health coaching after initial medical consultation by a physician. Improvements in several clinically relevant out-of-range biomarkers at baseline were identified in a large proportion of patients treated through lifestyle intervention without the use of prescription medication. Notably, normalization of several biomarkers associated with chronic disease occurred in 47.5% (hemoglobin A1c [HbA1c]), 33.3% (low density lipoprotein particle number [LDL-P]), and 33.2% (C-reactive protein [CRP]). However, due to the inherent limitations of our observational study design and use of retrospective data, ongoing work will be crucial for continuing to shed light on the effectiveness of physician-led, genomics-based lifestyle coaching programs. Future studies would benefit from implementing a randomized controlled study design, tracking specific interventions, and evaluating physiological data, such as BMI. Frontiers Media S.A. 2023-10-23 /pmc/articles/PMC10629614/ /pubmed/37942418 http://dx.doi.org/10.3389/fmed.2023.1239737 Text en Copyright © 2023 Mallin, Hall, Herlihy, Gelman and Stone. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Medicine
Mallin, Michael
Hall, Jane
Herlihy, Maria
Gelman, Eduard J.
Stone, Michael B.
A pilot retrospective study of a physician-directed and genomics-based model for precision lifestyle medicine
title A pilot retrospective study of a physician-directed and genomics-based model for precision lifestyle medicine
title_full A pilot retrospective study of a physician-directed and genomics-based model for precision lifestyle medicine
title_fullStr A pilot retrospective study of a physician-directed and genomics-based model for precision lifestyle medicine
title_full_unstemmed A pilot retrospective study of a physician-directed and genomics-based model for precision lifestyle medicine
title_short A pilot retrospective study of a physician-directed and genomics-based model for precision lifestyle medicine
title_sort pilot retrospective study of a physician-directed and genomics-based model for precision lifestyle medicine
topic Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10629614/
https://www.ncbi.nlm.nih.gov/pubmed/37942418
http://dx.doi.org/10.3389/fmed.2023.1239737
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