Secreted aminoacyl-tRNA synthetase-interacting multifunctional protein-1 (AIMP1) is a promising predictor for the severity of acute AQP4-IgG positive neuromyelitis optica spectrum disorder

Yuan, Congcong; Liu, Xueyu; Cai, Sanjun; Zhang, Lu; Guo, Ruoyi; Jia, Zhang; Sun, Yuchun; Li, Bin

doi:10.1016/j.msard.2023.104504

Cited by 2 publications

(1 citation statement)

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“…QAlb has been considered the gold standard for assessment of the BBB function [18] . Additionally, studies by Chen and Yuan revealed a positive correlation between serum albumin levels and the severity of NMOSD, further validating the association of QAlb with blood-brain barrier damage [19,20] . In our study, a subgroup analysis of EDSS scores was conducted, and the results showed no signi cant differences among groups in demographic and basic clinical characteristics.…”

Section: Discussionmentioning

confidence: 66%

Acute neuromyelitis optica spectrum disorder patients' clinical analysis of disability-related biomarkers

Zheng,

Yan,

Yin

et al. 2024

Preprint

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Background: The clinical features of neuromyelitis optica spectrum disorder (NMOSD) predominantly include optic neuritis and myelitis, among other symptoms. A greater level of disability during the acute phase typically suggests an unfavorable prognosis. Nevertheless, the clinical biomarkers that impact the severity of disability in NMOSD remain unclear. Methods:We analyzed 41 NMOSD patients and 41 normal controls to identify biomarkers associated with the disease. NMOSD patients were categorized into two groups based on their Expanded Disability Status Scale(EDSS) score: mild to moderate disability (EDSS <4) and severe disability (EDSS ≥4). Correlation and ROC analyses were conducted on various biomarkers, including neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), monocyte-to-lymphocyte ratio(MLR), cerebrospinal fluid (CSF)/serum albumin quotient(QAlb), CSF/blood immunoglobulin G quotient (QIgG), CSF/blood immunoglobulin A quotient (QIgA), CSF/blood immunoglobulin M quotient (QIgM), to identify markers linked to disability severity and confirm their independence. Results: 1. Significant differences in blood NLR, PLR, and MLR were found between NMOSD patients and normal controls (P<0.01) in biomarker comparison analysis. 2. Significant variations in QAlb, QIgG, QIgA, QIgM, and PLR were noted between the two groups of NMOSD patients stratified by disability severity. 3. A correlation analysis revealed a positive association between QAlb, QIgG, QIgA, QIgM, PLR, and EDSS scores. 4. Levels of QAlb, QIgG, QIgA, QIgM, and PLR were found to be effective indicators of NMOSD severity in Receiver Operating Characteristic (ROC) analysis (P<0.01). 5. Multifactor regression analysis confirmed the independence of PLR in assessing disease severity (P<0.01). Conclusion: 1. QAlb, QIgG, QIgA, QIgM, and PLR have demonstrated efficacy as biomarkers for assessing the severity of NMOSD; 2.PLR has shown promise as a standalone indicator for evaluating disease severity in patients with NMOSD.

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Section: Discussionmentioning

confidence: 66%