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Genotypic Spectrum and Natural History of Cavitating Leukoencephalopathies in Childhood
We aimed to delineate the pattern of natural course, neuroimaging features, and the genotypic spectrum of cavitating leukoencephalopathies. Children (age of onset ≤16 years) who met the criteria for cavitating leukoencephalopathies from January 2009 to October 2018 were identified. Whole-exome seque...
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Published in: | Pediatric neurology 2019-05, Vol.94, p.38-47 |
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creator | Zhang, Jie Liu, Ming Zhang, Zhongbin Zhou, Ling Kong, Weijing Jiang, Yuwu Wang, Jingmin Xiao, Jiangxi Wu, Ye |
description | We aimed to delineate the pattern of natural course, neuroimaging features, and the genotypic spectrum of cavitating leukoencephalopathies.
Children (age of onset ≤16 years) who met the criteria for cavitating leukoencephalopathies from January 2009 to October 2018 were identified. Whole-exome sequencing and prospective follow-up study of the natural history and brain magnetic resonance imaging (MRI) were performed.
Thirty-seven children were clinically diagnosed with cavitating leukoencephalopathies. Pathogenic or likely pathogenic mutations in eight genes were identified in 31 individuals (83.78%): IBA57 (17/37), NDUFS1 (5/37), NDUFV1 (2/37), NDUFV2 (3/37), NDUFAF5 (1/37), LYRM7 (1/37), NDUFB8 (1/37), and GLRX5 (1/37). All genes were engaged in mitochondrial function. IBA57 was identified in half of children. Mutations in NDUFV2, NDUFAF5, NDUFB8, or GLRX5 were first found to be related to cavitating leukoencephalopathies. Follow-up with a median of 23.5 months (four to 107 months) was available. The median age at disease onset was 11 months. All cases presented acute or subacute onset, and the initial presentation was rapid motor regression in 35 cases. Thirty-five children (35/37) exhibited a stabilized or improved pattern. Cavities and high-intensity diffusion-weighted imaging signals were the common MRI features during the acute stage. Although clinically stable, 21 children had reserved high diffusion-weighted imaging signals for a long time. Patients with different gene mutations show different MRI patterns.
The study expands the number of genes involved in cavitating leukoencephalopathies to 22. IBA57 is the most common candidate gene. Most cases showed a stabilized or improved pattern after an acute or subacute onset, which is different from most other inherited metabolic diseases or leukodystrophies. More cases and a longer follow-up period are needed. |
doi_str_mv | 10.1016/j.pediatrneurol.2019.01.002 |
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Children (age of onset ≤16 years) who met the criteria for cavitating leukoencephalopathies from January 2009 to October 2018 were identified. Whole-exome sequencing and prospective follow-up study of the natural history and brain magnetic resonance imaging (MRI) were performed.
Thirty-seven children were clinically diagnosed with cavitating leukoencephalopathies. Pathogenic or likely pathogenic mutations in eight genes were identified in 31 individuals (83.78%): IBA57 (17/37), NDUFS1 (5/37), NDUFV1 (2/37), NDUFV2 (3/37), NDUFAF5 (1/37), LYRM7 (1/37), NDUFB8 (1/37), and GLRX5 (1/37). All genes were engaged in mitochondrial function. IBA57 was identified in half of children. Mutations in NDUFV2, NDUFAF5, NDUFB8, or GLRX5 were first found to be related to cavitating leukoencephalopathies. Follow-up with a median of 23.5 months (four to 107 months) was available. The median age at disease onset was 11 months. All cases presented acute or subacute onset, and the initial presentation was rapid motor regression in 35 cases. Thirty-five children (35/37) exhibited a stabilized or improved pattern. Cavities and high-intensity diffusion-weighted imaging signals were the common MRI features during the acute stage. Although clinically stable, 21 children had reserved high diffusion-weighted imaging signals for a long time. Patients with different gene mutations show different MRI patterns.
The study expands the number of genes involved in cavitating leukoencephalopathies to 22. IBA57 is the most common candidate gene. Most cases showed a stabilized or improved pattern after an acute or subacute onset, which is different from most other inherited metabolic diseases or leukodystrophies. More cases and a longer follow-up period are needed.</description><identifier>ISSN: 0887-8994</identifier><identifier>EISSN: 1873-5150</identifier><identifier>DOI: 10.1016/j.pediatrneurol.2019.01.002</identifier><identifier>PMID: 30770271</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Brain - diagnostic imaging ; Brain - pathology ; Cavitating leukoencephalopathy ; Child, Preschool ; Children ; Disease Progression ; DNA Mutational Analysis ; Female ; Genotype ; Humans ; Infant ; Leukoencephalopathies - diagnostic imaging ; Leukoencephalopathies - genetics ; Leukoencephalopathies - pathology ; Magnetic Resonance Imaging ; Male ; Mutation ; Natural history ; Whole Exome Sequencing</subject><ispartof>Pediatric neurology, 2019-05, Vol.94, p.38-47</ispartof><rights>2019 Elsevier Inc.</rights><rights>Copyright © 2019 Elsevier Inc. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c449t-ff3544f0c14da200e547e53b1536aababd82c8189dda8c28d01391f04c97f43d3</citedby><cites>FETCH-LOGICAL-c449t-ff3544f0c14da200e547e53b1536aababd82c8189dda8c28d01391f04c97f43d3</cites><orcidid>0000-0002-6617-4025</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30770271$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Zhang, Jie</creatorcontrib><creatorcontrib>Liu, Ming</creatorcontrib><creatorcontrib>Zhang, Zhongbin</creatorcontrib><creatorcontrib>Zhou, Ling</creatorcontrib><creatorcontrib>Kong, Weijing</creatorcontrib><creatorcontrib>Jiang, Yuwu</creatorcontrib><creatorcontrib>Wang, Jingmin</creatorcontrib><creatorcontrib>Xiao, Jiangxi</creatorcontrib><creatorcontrib>Wu, Ye</creatorcontrib><title>Genotypic Spectrum and Natural History of Cavitating Leukoencephalopathies in Childhood</title><title>Pediatric neurology</title><addtitle>Pediatr Neurol</addtitle><description>We aimed to delineate the pattern of natural course, neuroimaging features, and the genotypic spectrum of cavitating leukoencephalopathies.
Children (age of onset ≤16 years) who met the criteria for cavitating leukoencephalopathies from January 2009 to October 2018 were identified. Whole-exome sequencing and prospective follow-up study of the natural history and brain magnetic resonance imaging (MRI) were performed.
Thirty-seven children were clinically diagnosed with cavitating leukoencephalopathies. Pathogenic or likely pathogenic mutations in eight genes were identified in 31 individuals (83.78%): IBA57 (17/37), NDUFS1 (5/37), NDUFV1 (2/37), NDUFV2 (3/37), NDUFAF5 (1/37), LYRM7 (1/37), NDUFB8 (1/37), and GLRX5 (1/37). All genes were engaged in mitochondrial function. IBA57 was identified in half of children. Mutations in NDUFV2, NDUFAF5, NDUFB8, or GLRX5 were first found to be related to cavitating leukoencephalopathies. Follow-up with a median of 23.5 months (four to 107 months) was available. The median age at disease onset was 11 months. All cases presented acute or subacute onset, and the initial presentation was rapid motor regression in 35 cases. Thirty-five children (35/37) exhibited a stabilized or improved pattern. Cavities and high-intensity diffusion-weighted imaging signals were the common MRI features during the acute stage. Although clinically stable, 21 children had reserved high diffusion-weighted imaging signals for a long time. Patients with different gene mutations show different MRI patterns.
The study expands the number of genes involved in cavitating leukoencephalopathies to 22. IBA57 is the most common candidate gene. Most cases showed a stabilized or improved pattern after an acute or subacute onset, which is different from most other inherited metabolic diseases or leukodystrophies. More cases and a longer follow-up period are needed.</description><subject>Brain - diagnostic imaging</subject><subject>Brain - pathology</subject><subject>Cavitating leukoencephalopathy</subject><subject>Child, Preschool</subject><subject>Children</subject><subject>Disease Progression</subject><subject>DNA Mutational Analysis</subject><subject>Female</subject><subject>Genotype</subject><subject>Humans</subject><subject>Infant</subject><subject>Leukoencephalopathies - diagnostic imaging</subject><subject>Leukoencephalopathies - genetics</subject><subject>Leukoencephalopathies - pathology</subject><subject>Magnetic Resonance Imaging</subject><subject>Male</subject><subject>Mutation</subject><subject>Natural history</subject><subject>Whole Exome Sequencing</subject><issn>0887-8994</issn><issn>1873-5150</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNqNkE1rGzEURUVpqJ20f6EIuulmJk8ajUeiq2LyBSZZJKFLIUtvarnj0VTSBPzvM8ZuIbus3ubce3mHkG8MSgZscbktB3Te5NjjGENXcmCqBFYC8A9kzmRTFTWr4SOZg5RNIZUSM3Ke0hYAasXFJzKroGmAN2xOft1gH_J-8JY-DmhzHHfU9I7emzxG09Fbn3KIexpaujQvPpvs-990heOfgL3FYWO6MJi88Zio7-ly4zu3CcF9Jmet6RJ-Od0L8nx99bS8LVYPN3fLn6vCCqFy0bZVLUQLlglnOADWosG6WrO6WhizNmsnuZVMKueMtFw6YJViLQirmlZUrrog34-9Qwx_R0xZ73yy2HWmxzAmzTmIhVQLISf0xxG1MaQUsdVD9DsT95qBPpjVW_3GrD6Y1cD0ZHZKfz0Njesduv_Zfyon4OoI4PTui8eok_UHR87HSax2wb9r6BU5KJN4</recordid><startdate>201905</startdate><enddate>201905</enddate><creator>Zhang, Jie</creator><creator>Liu, Ming</creator><creator>Zhang, Zhongbin</creator><creator>Zhou, Ling</creator><creator>Kong, Weijing</creator><creator>Jiang, Yuwu</creator><creator>Wang, Jingmin</creator><creator>Xiao, Jiangxi</creator><creator>Wu, Ye</creator><general>Elsevier Inc</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-6617-4025</orcidid></search><sort><creationdate>201905</creationdate><title>Genotypic Spectrum and Natural History of Cavitating Leukoencephalopathies in Childhood</title><author>Zhang, Jie ; Liu, Ming ; Zhang, Zhongbin ; Zhou, Ling ; Kong, Weijing ; Jiang, Yuwu ; Wang, Jingmin ; Xiao, Jiangxi ; Wu, Ye</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c449t-ff3544f0c14da200e547e53b1536aababd82c8189dda8c28d01391f04c97f43d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Brain - diagnostic imaging</topic><topic>Brain - pathology</topic><topic>Cavitating leukoencephalopathy</topic><topic>Child, Preschool</topic><topic>Children</topic><topic>Disease Progression</topic><topic>DNA Mutational Analysis</topic><topic>Female</topic><topic>Genotype</topic><topic>Humans</topic><topic>Infant</topic><topic>Leukoencephalopathies - diagnostic imaging</topic><topic>Leukoencephalopathies - genetics</topic><topic>Leukoencephalopathies - pathology</topic><topic>Magnetic Resonance Imaging</topic><topic>Male</topic><topic>Mutation</topic><topic>Natural history</topic><topic>Whole Exome Sequencing</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhang, Jie</creatorcontrib><creatorcontrib>Liu, Ming</creatorcontrib><creatorcontrib>Zhang, Zhongbin</creatorcontrib><creatorcontrib>Zhou, Ling</creatorcontrib><creatorcontrib>Kong, Weijing</creatorcontrib><creatorcontrib>Jiang, Yuwu</creatorcontrib><creatorcontrib>Wang, Jingmin</creatorcontrib><creatorcontrib>Xiao, Jiangxi</creatorcontrib><creatorcontrib>Wu, Ye</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Pediatric neurology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhang, Jie</au><au>Liu, Ming</au><au>Zhang, Zhongbin</au><au>Zhou, Ling</au><au>Kong, Weijing</au><au>Jiang, Yuwu</au><au>Wang, Jingmin</au><au>Xiao, Jiangxi</au><au>Wu, Ye</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Genotypic Spectrum and Natural History of Cavitating Leukoencephalopathies in Childhood</atitle><jtitle>Pediatric neurology</jtitle><addtitle>Pediatr Neurol</addtitle><date>2019-05</date><risdate>2019</risdate><volume>94</volume><spage>38</spage><epage>47</epage><pages>38-47</pages><issn>0887-8994</issn><eissn>1873-5150</eissn><abstract>We aimed to delineate the pattern of natural course, neuroimaging features, and the genotypic spectrum of cavitating leukoencephalopathies.
Children (age of onset ≤16 years) who met the criteria for cavitating leukoencephalopathies from January 2009 to October 2018 were identified. Whole-exome sequencing and prospective follow-up study of the natural history and brain magnetic resonance imaging (MRI) were performed.
Thirty-seven children were clinically diagnosed with cavitating leukoencephalopathies. Pathogenic or likely pathogenic mutations in eight genes were identified in 31 individuals (83.78%): IBA57 (17/37), NDUFS1 (5/37), NDUFV1 (2/37), NDUFV2 (3/37), NDUFAF5 (1/37), LYRM7 (1/37), NDUFB8 (1/37), and GLRX5 (1/37). All genes were engaged in mitochondrial function. IBA57 was identified in half of children. Mutations in NDUFV2, NDUFAF5, NDUFB8, or GLRX5 were first found to be related to cavitating leukoencephalopathies. Follow-up with a median of 23.5 months (four to 107 months) was available. The median age at disease onset was 11 months. All cases presented acute or subacute onset, and the initial presentation was rapid motor regression in 35 cases. Thirty-five children (35/37) exhibited a stabilized or improved pattern. Cavities and high-intensity diffusion-weighted imaging signals were the common MRI features during the acute stage. Although clinically stable, 21 children had reserved high diffusion-weighted imaging signals for a long time. Patients with different gene mutations show different MRI patterns.
The study expands the number of genes involved in cavitating leukoencephalopathies to 22. IBA57 is the most common candidate gene. Most cases showed a stabilized or improved pattern after an acute or subacute onset, which is different from most other inherited metabolic diseases or leukodystrophies. More cases and a longer follow-up period are needed.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>30770271</pmid><doi>10.1016/j.pediatrneurol.2019.01.002</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0002-6617-4025</orcidid></addata></record> |
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subjects | Brain - diagnostic imaging Brain - pathology Cavitating leukoencephalopathy Child, Preschool Children Disease Progression DNA Mutational Analysis Female Genotype Humans Infant Leukoencephalopathies - diagnostic imaging Leukoencephalopathies - genetics Leukoencephalopathies - pathology Magnetic Resonance Imaging Male Mutation Natural history Whole Exome Sequencing |
title | Genotypic Spectrum and Natural History of Cavitating Leukoencephalopathies in Childhood |
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