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Blood-Based Biomarkers Predictive of Metformin Target Engagement in Fragile X Syndrome
Recent advances in neurobiology have provided several molecular entrees for targeted treatments for Fragile X syndrome (FXS). However, the efficacy of these treatments has been demonstrated mainly in animal models and has not been consistently predictive of targeted drugs’ response in the prepondera...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7349631/ https://www.ncbi.nlm.nih.gov/pubmed/32531912 http://dx.doi.org/10.3390/brainsci10060361 |
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author | Jasoliya, Mittal Bowling, Heather Petrasic, Ignacio Cortina Durbin-Johnson, Blythe Klann, Eric Bhattacharya, Aditi Hagerman, Randi Tassone, Flora |
author_facet | Jasoliya, Mittal Bowling, Heather Petrasic, Ignacio Cortina Durbin-Johnson, Blythe Klann, Eric Bhattacharya, Aditi Hagerman, Randi Tassone, Flora |
author_sort | Jasoliya, Mittal |
collection | PubMed |
description | Recent advances in neurobiology have provided several molecular entrees for targeted treatments for Fragile X syndrome (FXS). However, the efficacy of these treatments has been demonstrated mainly in animal models and has not been consistently predictive of targeted drugs’ response in the preponderance of human clinical trials. Because of the heterogeneity of FXS at various levels, including the molecular level, phenotypic manifestation, and drug response, it is critically important to identify biomarkers that can help in patient stratification and prediction of therapeutic efficacy. The primary objective of this study was to assess the ability of molecular biomarkers to predict phenotypic subgroups, symptom severity, and treatment response to metformin in clinically treated patients with FXS. We specifically tested a triplex protein array comprising of hexokinase 1 (HK1), RAS (all isoforms), and Matrix Metalloproteinase 9 (MMP9) that we previously demonstrated were dysregulated in the FXS mouse model and in blood samples from patient with FXS. Seventeen participants with FXS, 12 males and 5 females, treated clinically with metformin were included in this study. The disruption in expression abundance of these proteins was normalized and associated with significant self-reported improvement in clinical phenotypes (CGI-I in addition to BMI) in a subset of participants with FXS. Our preliminary findings suggest that these proteins are of strong molecular relevance to the FXS pathology that could make them useful molecular biomarkers for this syndrome. |
format | Online Article Text |
id | pubmed-7349631 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-73496312020-07-15 Blood-Based Biomarkers Predictive of Metformin Target Engagement in Fragile X Syndrome Jasoliya, Mittal Bowling, Heather Petrasic, Ignacio Cortina Durbin-Johnson, Blythe Klann, Eric Bhattacharya, Aditi Hagerman, Randi Tassone, Flora Brain Sci Article Recent advances in neurobiology have provided several molecular entrees for targeted treatments for Fragile X syndrome (FXS). However, the efficacy of these treatments has been demonstrated mainly in animal models and has not been consistently predictive of targeted drugs’ response in the preponderance of human clinical trials. Because of the heterogeneity of FXS at various levels, including the molecular level, phenotypic manifestation, and drug response, it is critically important to identify biomarkers that can help in patient stratification and prediction of therapeutic efficacy. The primary objective of this study was to assess the ability of molecular biomarkers to predict phenotypic subgroups, symptom severity, and treatment response to metformin in clinically treated patients with FXS. We specifically tested a triplex protein array comprising of hexokinase 1 (HK1), RAS (all isoforms), and Matrix Metalloproteinase 9 (MMP9) that we previously demonstrated were dysregulated in the FXS mouse model and in blood samples from patient with FXS. Seventeen participants with FXS, 12 males and 5 females, treated clinically with metformin were included in this study. The disruption in expression abundance of these proteins was normalized and associated with significant self-reported improvement in clinical phenotypes (CGI-I in addition to BMI) in a subset of participants with FXS. Our preliminary findings suggest that these proteins are of strong molecular relevance to the FXS pathology that could make them useful molecular biomarkers for this syndrome. MDPI 2020-06-10 /pmc/articles/PMC7349631/ /pubmed/32531912 http://dx.doi.org/10.3390/brainsci10060361 Text en © 2020 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Jasoliya, Mittal Bowling, Heather Petrasic, Ignacio Cortina Durbin-Johnson, Blythe Klann, Eric Bhattacharya, Aditi Hagerman, Randi Tassone, Flora Blood-Based Biomarkers Predictive of Metformin Target Engagement in Fragile X Syndrome |
title | Blood-Based Biomarkers Predictive of Metformin Target Engagement in Fragile X Syndrome |
title_full | Blood-Based Biomarkers Predictive of Metformin Target Engagement in Fragile X Syndrome |
title_fullStr | Blood-Based Biomarkers Predictive of Metformin Target Engagement in Fragile X Syndrome |
title_full_unstemmed | Blood-Based Biomarkers Predictive of Metformin Target Engagement in Fragile X Syndrome |
title_short | Blood-Based Biomarkers Predictive of Metformin Target Engagement in Fragile X Syndrome |
title_sort | blood-based biomarkers predictive of metformin target engagement in fragile x syndrome |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7349631/ https://www.ncbi.nlm.nih.gov/pubmed/32531912 http://dx.doi.org/10.3390/brainsci10060361 |
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