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A Miniaturized MicroRNA Sensor Identifies Targets Associated with Weight Loss in a Diet and Exercise Intervention among Healthy Overweight Individuals

Weight loss through dietary and exercise intervention is commonly prescribed but is not effective for all individuals. Recent studies have demonstrated that circulating microRNA (miR) biomarkers could potentially be used to identify individuals who will likely lose weight through diet and exercise a...

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Autores principales: Jayasooriya, Vidura, Johnson, Nathaniel, Bradley, Adam, Kotarsky, Christopher, Jepng’etich, Lizzy, Friesner, Daniel, Stastny, Sherri, Hackney, Kyle J., Nawarathna, Dharmakeerthi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9505139/
https://www.ncbi.nlm.nih.gov/pubmed/36146115
http://dx.doi.org/10.3390/s22186758
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author Jayasooriya, Vidura
Johnson, Nathaniel
Bradley, Adam
Kotarsky, Christopher
Jepng’etich, Lizzy
Friesner, Daniel
Stastny, Sherri
Hackney, Kyle J.
Nawarathna, Dharmakeerthi
author_facet Jayasooriya, Vidura
Johnson, Nathaniel
Bradley, Adam
Kotarsky, Christopher
Jepng’etich, Lizzy
Friesner, Daniel
Stastny, Sherri
Hackney, Kyle J.
Nawarathna, Dharmakeerthi
author_sort Jayasooriya, Vidura
collection PubMed
description Weight loss through dietary and exercise intervention is commonly prescribed but is not effective for all individuals. Recent studies have demonstrated that circulating microRNA (miR) biomarkers could potentially be used to identify individuals who will likely lose weight through diet and exercise and attain a healthy body weight. However, accurate detection of miRs in clinical samples is difficult, error-prone, and expensive. To address this issue, we recently developed iLluminate—a low-cost and highly sensitive miR sensor suitable for point-of-care testing. To investigate if miR testing and iLluminate can be used in real-world obesity applications, we developed a pilot diet and exercise intervention and utilized iLluminate to evaluate miR biomarkers. We evaluated the expression of miRs-140, -935, -let-7b, and -99a, which are biomarkers for fat loss, energy metabolism, and adipogenic differentiation. Responders lost more total mass, tissue mass, and fat mass than non-responders. miRs-140, -935, -let-7b, and -99a, collectively accounted for 6.9% and 8.8% of the explained variability in fat and lean mass, respectively. At the level of the individual coefficients, miRs-140 and -935 were significantly associated with fat loss. Collectively, miRs-140 and -935 provide an additional degree of predictive capability in body mass and fat mass alternations.
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spelling pubmed-95051392022-09-24 A Miniaturized MicroRNA Sensor Identifies Targets Associated with Weight Loss in a Diet and Exercise Intervention among Healthy Overweight Individuals Jayasooriya, Vidura Johnson, Nathaniel Bradley, Adam Kotarsky, Christopher Jepng’etich, Lizzy Friesner, Daniel Stastny, Sherri Hackney, Kyle J. Nawarathna, Dharmakeerthi Sensors (Basel) Article Weight loss through dietary and exercise intervention is commonly prescribed but is not effective for all individuals. Recent studies have demonstrated that circulating microRNA (miR) biomarkers could potentially be used to identify individuals who will likely lose weight through diet and exercise and attain a healthy body weight. However, accurate detection of miRs in clinical samples is difficult, error-prone, and expensive. To address this issue, we recently developed iLluminate—a low-cost and highly sensitive miR sensor suitable for point-of-care testing. To investigate if miR testing and iLluminate can be used in real-world obesity applications, we developed a pilot diet and exercise intervention and utilized iLluminate to evaluate miR biomarkers. We evaluated the expression of miRs-140, -935, -let-7b, and -99a, which are biomarkers for fat loss, energy metabolism, and adipogenic differentiation. Responders lost more total mass, tissue mass, and fat mass than non-responders. miRs-140, -935, -let-7b, and -99a, collectively accounted for 6.9% and 8.8% of the explained variability in fat and lean mass, respectively. At the level of the individual coefficients, miRs-140 and -935 were significantly associated with fat loss. Collectively, miRs-140 and -935 provide an additional degree of predictive capability in body mass and fat mass alternations. MDPI 2022-09-07 /pmc/articles/PMC9505139/ /pubmed/36146115 http://dx.doi.org/10.3390/s22186758 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Jayasooriya, Vidura
Johnson, Nathaniel
Bradley, Adam
Kotarsky, Christopher
Jepng’etich, Lizzy
Friesner, Daniel
Stastny, Sherri
Hackney, Kyle J.
Nawarathna, Dharmakeerthi
A Miniaturized MicroRNA Sensor Identifies Targets Associated with Weight Loss in a Diet and Exercise Intervention among Healthy Overweight Individuals
title A Miniaturized MicroRNA Sensor Identifies Targets Associated with Weight Loss in a Diet and Exercise Intervention among Healthy Overweight Individuals
title_full A Miniaturized MicroRNA Sensor Identifies Targets Associated with Weight Loss in a Diet and Exercise Intervention among Healthy Overweight Individuals
title_fullStr A Miniaturized MicroRNA Sensor Identifies Targets Associated with Weight Loss in a Diet and Exercise Intervention among Healthy Overweight Individuals
title_full_unstemmed A Miniaturized MicroRNA Sensor Identifies Targets Associated with Weight Loss in a Diet and Exercise Intervention among Healthy Overweight Individuals
title_short A Miniaturized MicroRNA Sensor Identifies Targets Associated with Weight Loss in a Diet and Exercise Intervention among Healthy Overweight Individuals
title_sort miniaturized microrna sensor identifies targets associated with weight loss in a diet and exercise intervention among healthy overweight individuals
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9505139/
https://www.ncbi.nlm.nih.gov/pubmed/36146115
http://dx.doi.org/10.3390/s22186758
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