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Intercorrelation of Molecular Biomarkers and Clinical Phenotype Measures in Fragile X Syndrome

This study contributes to a greater understanding of the utility of molecular biomarkers to identify clinical phenotypes of fragile X syndrome (FXS). Correlations of baseline clinical trial data (molecular measures—FMR1 mRNA, CYFIP1 mRNA, MMP9 and FMRP protein expression levels, nonverbal IQ, body m...

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Autores principales: Aishworiya, Ramkumar, Chi, Mei-Hung, Zafarullah, Marwa, Mendoza, Guadalupe, Ponzini, Matthew Dominic, Kim, Kyoungmi, Biag, Hazel Maridith Barlahan, Thurman, Angela John, Abbeduto, Leonard, Hessl, David, Randol, Jamie Leah, Bolduc, Francois V., Jacquemont, Sebastien, Lippé, Sarah, Hagerman, Paul, Hagerman, Randi, Schneider, Andrea, Tassone, Flora
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10377864/
https://www.ncbi.nlm.nih.gov/pubmed/37508583
http://dx.doi.org/10.3390/cells12141920
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author Aishworiya, Ramkumar
Chi, Mei-Hung
Zafarullah, Marwa
Mendoza, Guadalupe
Ponzini, Matthew Dominic
Kim, Kyoungmi
Biag, Hazel Maridith Barlahan
Thurman, Angela John
Abbeduto, Leonard
Hessl, David
Randol, Jamie Leah
Bolduc, Francois V.
Jacquemont, Sebastien
Lippé, Sarah
Hagerman, Paul
Hagerman, Randi
Schneider, Andrea
Tassone, Flora
author_facet Aishworiya, Ramkumar
Chi, Mei-Hung
Zafarullah, Marwa
Mendoza, Guadalupe
Ponzini, Matthew Dominic
Kim, Kyoungmi
Biag, Hazel Maridith Barlahan
Thurman, Angela John
Abbeduto, Leonard
Hessl, David
Randol, Jamie Leah
Bolduc, Francois V.
Jacquemont, Sebastien
Lippé, Sarah
Hagerman, Paul
Hagerman, Randi
Schneider, Andrea
Tassone, Flora
author_sort Aishworiya, Ramkumar
collection PubMed
description This study contributes to a greater understanding of the utility of molecular biomarkers to identify clinical phenotypes of fragile X syndrome (FXS). Correlations of baseline clinical trial data (molecular measures—FMR1 mRNA, CYFIP1 mRNA, MMP9 and FMRP protein expression levels, nonverbal IQ, body mass index and weight, language level, NIH Toolbox, adaptive behavior rating, autism, and other mental health correlates) of 59 participants with FXS ages of 6–32 years are reported. FMR1 mRNA expression levels correlated positively with adaptive functioning levels, expressive language, and specific NIH Toolbox measures. The findings of a positive correlation of MMP-9 levels with obesity, CYFIP1 mRNA with mood and autistic symptoms, and FMR1 mRNA expression level with better cognitive, language, and adaptive functions indicate potential biomarkers for specific FXS phenotypes. These may be potential markers for future clinical trials for targeted treatments of FXS.
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spelling pubmed-103778642023-07-29 Intercorrelation of Molecular Biomarkers and Clinical Phenotype Measures in Fragile X Syndrome Aishworiya, Ramkumar Chi, Mei-Hung Zafarullah, Marwa Mendoza, Guadalupe Ponzini, Matthew Dominic Kim, Kyoungmi Biag, Hazel Maridith Barlahan Thurman, Angela John Abbeduto, Leonard Hessl, David Randol, Jamie Leah Bolduc, Francois V. Jacquemont, Sebastien Lippé, Sarah Hagerman, Paul Hagerman, Randi Schneider, Andrea Tassone, Flora Cells Article This study contributes to a greater understanding of the utility of molecular biomarkers to identify clinical phenotypes of fragile X syndrome (FXS). Correlations of baseline clinical trial data (molecular measures—FMR1 mRNA, CYFIP1 mRNA, MMP9 and FMRP protein expression levels, nonverbal IQ, body mass index and weight, language level, NIH Toolbox, adaptive behavior rating, autism, and other mental health correlates) of 59 participants with FXS ages of 6–32 years are reported. FMR1 mRNA expression levels correlated positively with adaptive functioning levels, expressive language, and specific NIH Toolbox measures. The findings of a positive correlation of MMP-9 levels with obesity, CYFIP1 mRNA with mood and autistic symptoms, and FMR1 mRNA expression level with better cognitive, language, and adaptive functions indicate potential biomarkers for specific FXS phenotypes. These may be potential markers for future clinical trials for targeted treatments of FXS. MDPI 2023-07-24 /pmc/articles/PMC10377864/ /pubmed/37508583 http://dx.doi.org/10.3390/cells12141920 Text en © 2023 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
Aishworiya, Ramkumar
Chi, Mei-Hung
Zafarullah, Marwa
Mendoza, Guadalupe
Ponzini, Matthew Dominic
Kim, Kyoungmi
Biag, Hazel Maridith Barlahan
Thurman, Angela John
Abbeduto, Leonard
Hessl, David
Randol, Jamie Leah
Bolduc, Francois V.
Jacquemont, Sebastien
Lippé, Sarah
Hagerman, Paul
Hagerman, Randi
Schneider, Andrea
Tassone, Flora
Intercorrelation of Molecular Biomarkers and Clinical Phenotype Measures in Fragile X Syndrome
title Intercorrelation of Molecular Biomarkers and Clinical Phenotype Measures in Fragile X Syndrome
title_full Intercorrelation of Molecular Biomarkers and Clinical Phenotype Measures in Fragile X Syndrome
title_fullStr Intercorrelation of Molecular Biomarkers and Clinical Phenotype Measures in Fragile X Syndrome
title_full_unstemmed Intercorrelation of Molecular Biomarkers and Clinical Phenotype Measures in Fragile X Syndrome
title_short Intercorrelation of Molecular Biomarkers and Clinical Phenotype Measures in Fragile X Syndrome
title_sort intercorrelation of molecular biomarkers and clinical phenotype measures in fragile x syndrome
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10377864/
https://www.ncbi.nlm.nih.gov/pubmed/37508583
http://dx.doi.org/10.3390/cells12141920
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