MicroRNA and metabolomics signatures for adrenomyeloneuropathy disease severity

Abstract Adrenomyeloneuropathy (AMN), the slow progressive phenotype of adrenoleukodystrophy (ALD), has no clinical plasma biomarker for disease progression. This feasibility study aimed to determine whether metabolomics and micro‐RNA in blood plasma provide a potential source of biomarkers for AMN...

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Main Authors: Bela Rui Turk, Laila Marie Poisson, Christina Linnea Nemeth, Jordan Goodman, Ann B. Moser, Richard Owen Jones, Ali Fatemi, Jaspreet Singh
Format: Article
Language:English
Published: Wiley 2022-11-01
Series:JIMD Reports
Subjects:
Online Access:https://doi.org/10.1002/jmd2.12323
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author Bela Rui Turk
Laila Marie Poisson
Christina Linnea Nemeth
Jordan Goodman
Ann B. Moser
Richard Owen Jones
Ali Fatemi
Jaspreet Singh
author_facet Bela Rui Turk
Laila Marie Poisson
Christina Linnea Nemeth
Jordan Goodman
Ann B. Moser
Richard Owen Jones
Ali Fatemi
Jaspreet Singh
author_sort Bela Rui Turk
collection DOAJ
description Abstract Adrenomyeloneuropathy (AMN), the slow progressive phenotype of adrenoleukodystrophy (ALD), has no clinical plasma biomarker for disease progression. This feasibility study aimed to determine whether metabolomics and micro‐RNA in blood plasma provide a potential source of biomarkers for AMN disease severity. Metabolomics and RNA‐seq were performed on AMN and healthy human blood plasma. Biomarker discovery and pathway analyses were performed using clustering, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis, and regression against patient's clinical Expanded Disability Status Score (EDSS). Fourteen AMN and six healthy control samples were analyzed. AMN showed strong disease‐severity‐specific metabolic and miRNA clustering signatures. Strong, significant clinical correlations were shown for 7‐alpha‐hydroxy‐3‐oxo‐4‐cholestenoate (7‐HOCA) (r2 = 0.83, p < 0.00001), dehydroepiandrosterone sulfate (DHEA‐S; r2 = 0.82, p < 0.00001), hypoxanthine (r2 = 0.82, p < 0.00001), as well as miRNA‐432‐5p (r2 = 0.68, p < 0.00001). KEGG pathway comparison of mild versus severe disease identified affected downstream systems: GAREM, IGF‐1, CALCRL, SMAD2&3, glutathione peroxidase, LDH, and NOS. This feasibility study demonstrates that miRNA and metabolomics are a source of potential plasma biomarkers for disease severity in AMN, providing both a disease signature and individual markers with strong clinical correlations. Network analyses of affected systems implicate differentially altered vascular, inflammatory, and oxidative stress pathways, suggesting disease‐severity‐specific mechanisms as a function of disease severity.
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spelling doaj.art-36123677d2714446a40c64bbf255f8ce2022-12-22T04:33:58ZengWileyJIMD Reports2192-83122022-11-0163659360310.1002/jmd2.12323MicroRNA and metabolomics signatures for adrenomyeloneuropathy disease severityBela Rui Turk0Laila Marie Poisson1Christina Linnea Nemeth2Jordan Goodman3Ann B. Moser4Richard Owen Jones5Ali Fatemi6Jaspreet Singh7Moser Center for Leukodystrophies, Kennedy Krieger Institute Johns Hopkins Medical Institutions Baltimore Maryland USADepartment of Public Health Sciences Henry Ford Health System Detroit Michigan USAMoser Center for Leukodystrophies, Kennedy Krieger Institute Johns Hopkins Medical Institutions Baltimore Maryland USAMoser Center for Leukodystrophies, Kennedy Krieger Institute Johns Hopkins Medical Institutions Baltimore Maryland USAMoser Center for Leukodystrophies, Kennedy Krieger Institute Johns Hopkins Medical Institutions Baltimore Maryland USAMoser Center for Leukodystrophies, Kennedy Krieger Institute Johns Hopkins Medical Institutions Baltimore Maryland USAMoser Center for Leukodystrophies, Kennedy Krieger Institute Johns Hopkins Medical Institutions Baltimore Maryland USADepartment of Neurology Henry Ford Health System Detroit Michigan USAAbstract Adrenomyeloneuropathy (AMN), the slow progressive phenotype of adrenoleukodystrophy (ALD), has no clinical plasma biomarker for disease progression. This feasibility study aimed to determine whether metabolomics and micro‐RNA in blood plasma provide a potential source of biomarkers for AMN disease severity. Metabolomics and RNA‐seq were performed on AMN and healthy human blood plasma. Biomarker discovery and pathway analyses were performed using clustering, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis, and regression against patient's clinical Expanded Disability Status Score (EDSS). Fourteen AMN and six healthy control samples were analyzed. AMN showed strong disease‐severity‐specific metabolic and miRNA clustering signatures. Strong, significant clinical correlations were shown for 7‐alpha‐hydroxy‐3‐oxo‐4‐cholestenoate (7‐HOCA) (r2 = 0.83, p < 0.00001), dehydroepiandrosterone sulfate (DHEA‐S; r2 = 0.82, p < 0.00001), hypoxanthine (r2 = 0.82, p < 0.00001), as well as miRNA‐432‐5p (r2 = 0.68, p < 0.00001). KEGG pathway comparison of mild versus severe disease identified affected downstream systems: GAREM, IGF‐1, CALCRL, SMAD2&3, glutathione peroxidase, LDH, and NOS. This feasibility study demonstrates that miRNA and metabolomics are a source of potential plasma biomarkers for disease severity in AMN, providing both a disease signature and individual markers with strong clinical correlations. Network analyses of affected systems implicate differentially altered vascular, inflammatory, and oxidative stress pathways, suggesting disease‐severity‐specific mechanisms as a function of disease severity.https://doi.org/10.1002/jmd2.12323adrenoleukodystrophyadrenomyeloneuropathybiomarkerleukodystrophymetabolomicsmicro‐RNA
spellingShingle Bela Rui Turk
Laila Marie Poisson
Christina Linnea Nemeth
Jordan Goodman
Ann B. Moser
Richard Owen Jones
Ali Fatemi
Jaspreet Singh
MicroRNA and metabolomics signatures for adrenomyeloneuropathy disease severity
JIMD Reports
adrenoleukodystrophy
adrenomyeloneuropathy
biomarker
leukodystrophy
metabolomics
micro‐RNA
title MicroRNA and metabolomics signatures for adrenomyeloneuropathy disease severity
title_full MicroRNA and metabolomics signatures for adrenomyeloneuropathy disease severity
title_fullStr MicroRNA and metabolomics signatures for adrenomyeloneuropathy disease severity
title_full_unstemmed MicroRNA and metabolomics signatures for adrenomyeloneuropathy disease severity
title_short MicroRNA and metabolomics signatures for adrenomyeloneuropathy disease severity
title_sort microrna and metabolomics signatures for adrenomyeloneuropathy disease severity
topic adrenoleukodystrophy
adrenomyeloneuropathy
biomarker
leukodystrophy
metabolomics
micro‐RNA
url https://doi.org/10.1002/jmd2.12323
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