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Brain lesion distribution criteria distinguish demyelinating diseases in China.

ABSTRACT: OBJECTIVE:To verify the utility of brain lesion distribution criteria in distinguishing multiple sclerosis (MS) from aquaporin-4 (AQP4)-immunoglobulin G (IgG)-positive/-negative neuromyelitis optica spectrum disorder (NMOSD) and myelin oligodendrocyte glycoprotein IgG-associated encephalomyelitis (MOG-EM) in the Chinese population. METHODS:A total of 253 patients with MS (80), NMOSD (129 AQP4-IgG positive, 34 AQP4-IgG negative), and MOG-EM (10) were enrolled. Anonymized magnetic resonance imaging results were scored on the previous reported criteria of "at least one lesion adjacent to the body of the lateral ventricle and in the inferior temporal lobe; or the presence of a subcortical U-fiber lesion; or a Dawson's finger-type lesion." Chi-squared test (or Fisher's exact test) was used to analyze the data. RESULTS:The distribution criteria were able to distinguish MS with a same sensitivity of 93.8% from all type of NMOSD and MOG-EM, with a specificity of 89.7% from the whole NMOSD cohort, 89.1% from AQP4-IgG-positive NMOSD 91.2% from AQP4-IgG-negative NMOSD, and 70.0% from MOG-EM. Dawson's finger-type lesion was the most sensitive and specific feature, whereas the U-fiber lesion was the least. CONCLUSION:The brain lesion distribution criteria were helpful in distinguishing MS from NMOSD and MOG-EM in the Chinese population. Dawson's finger-type lesion was highly suggestive of MS.

SUBMITTER: Cai MT

PROVIDER: S-EPMC6801206 | biostudies-literature | 2019 Oct

REPOSITORIES: biostudies-literature

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Brain lesion distribution criteria distinguish demyelinating diseases in China.

Cai Meng-Ting MT Zhang Yin-Xi YX Zheng Yang Y Yang Fan F Fang Wei W Shen Chun-Hong CH Ding Mei-Ping MP

Annals of clinical and translational neurology 20190930 10

<h4>Objective</h4>To verify the utility of brain lesion distribution criteria in distinguishing multiple sclerosis (MS) from aquaporin-4 (AQP4)-immunoglobulin G (IgG)-positive/-negative neuromyelitis optica spectrum disorder (NMOSD) and myelin oligodendrocyte glycoprotein IgG-associated encephalomyelitis (MOG-EM) in the Chinese population.<h4>Methods</h4>A total of 253 patients with MS (80), NMOSD (129 AQP4-IgG positive, 34 AQP4-IgG negative), and MOG-EM (10) were enrolled. Anonymized magnetic r ...[more]

PMID: 31566925

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Project description:Background:Our group has used deep sequencing to identify viral RNA signatures in human brain specimens. We have previously used this method to detect HSV1, GBV-C, and measles virus sequence in brain tissue from deceased donors. Deep sequencing was performed on brain specimens from a cohort of patients who died with progressive forms of MS, revealing evidence of increased expression of some human endogenous retrovirus (HERV) domains. Objectives:Identify RNA sequences and new antigens involved in the pathogenesis of MS. Methods:Deep sequencing was performed on RNA extracted from 12 progressive MS, 2 neuromyelitis optica (MS/NMO = demyelination group), 14 normal control, and 7 other neurologic disease (OND) control frozen brain specimens. The resulting single-ended 50 bp sequences (reads) were compared to a non redundant viral database representing (NRVDB) all 1.2 M viral records in GenBank. A retroviral gene catalog (RVGC) was prepared by identifying human genetic loci (GRCh37.p13) homologous to domains contained in the Gypsy 2.0 retro element database. Reads were aligned to the RVGC and human transcriptome with Bowtie2. The resulting viral hit rates (VHRs) were normalized by the number of high quality reads. The expression of human genes, including HERVs, was determined using Cufflinks. Comparisons between the groups were performed using the false discovery rate. Results:Fifty to 131 million high quality reads per specimen were obtained. Comparison of the reads to the NRVDB suggested that the demyelination and OND specimens had higher VHRs against some retroviral sequences compared with the controls. This was confirmed by retroviral domain averaging. Gene expression analysis showed differential expression among some HERV sequences. Single read mapping revealed one envelope and one reverse transcriptase sequence record that were significantly enriched among the demyelination samples compared to the normal controls. Less restrictive (comprehensive) read mapping showed that 2 integrase, 2 core, 2 envelope, and 3 KRAB sequences that were overexpressed in the demyelination group. Conclusions:These data demonstrate that some endogenous retroviral sequences are significantly overexpressed in these demyelination brain tissue specimens, but the magnitude of this overexpression is small. This is consistent with the concept of HERV activation as a part of the innate immune response.

Project description:Brain magnetic resonance imaging is widely used as a diagnostic and monitoring tool in multiple sclerosis and provides a non-invasive, sensitive and reproducible way to track the disease. Topological characteristics relating to the distribution and shape of lesions are recognized as important neuroradiological markers in the diagnosis of multiple sclerosis, although these have been much less well characterized quantitatively than have traditional measures such as T2 hyperintense or T1 hypointense lesion volumes. Here, we used voxel-level 3 T magnetic resonance imaging T1-weighted scans to reconstruct the 3D topology of lesions in 284 subjects with multiple sclerosis and tested whether this is a heritable phenotype. To this end, we extracted the genotypes from a published genome-wide association study on these same individuals and searched for genetic associations with lesion load, shape and topological distribution. Lesion probability maps were created to identify frequently affected areas and to assess the overall distribution of T1 lesions in the subject population as a whole. We then developed an original algorithm to cluster adjacent lesional voxels (cluxels) in each subject and tested whether cluxel topology was significantly associated with any single-nucleotide polymorphism in our data set. To focus on patterns of lesion distribution, we computed the first 10 principal components. Although principal component 1 correlated with lesion load, none of the remaining orthogonal components correlated with any other known variable. We then conducted genome-wide association studies on each of these and found 31 significant associations (false discovery rate <0.01) with principal component 8, which represents a mode of variation of lesion topology in the population. The majority of the loci can be linked to genes related to immune cell function and to myelin and neural growth; some (SYK, MYT1L, TRAPPC9, SLITKR6 and RIC3) have been previously associated with the distribution of white matter lesions in multiple sclerosis. Finally, we used a bioinformatics approach to identify a network of 48 interacting proteins showing genetic associations (P < 0.01) with cluxel topology in multiple sclerosis. This network also contains proteins expressed in immune cells and is enriched in molecules expressed in the central nervous system that contribute to neural development and regeneration. Our results show how quantitative traits derived from brain magnetic resonance images of patients with multiple sclerosis can be used as dependent variables in a genome-wide association study. With the widespread availability of powerful computing and the availability of genotyped populations, integration of imaging and genetic data sets is likely to become a mainstream tool for understanding the complex biological processes of multiple sclerosis and other brain disorders.

Dataset Information

Brain lesion distribution criteria distinguish demyelinating diseases in China.

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Brain lesion distribution criteria distinguish demyelinating diseases in China.

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