Platelet-to-lymphocyte ratio differs between MS and NMOSD at disease onset and predict disability

Contentti, Edgar Carnero; López, Pablo A.; Criniti, Juan; Pettinicchi, Juan Pablo; Cristiano, Edgardo; Patrucco, Liliana; Lázaro, Luciana; Alonso, Ricardo; Liguori, Nora Fernández; Tkachuk, Verónica; Caride, Alejandro; Rojas, Juan Ignacio

doi:10.1016/j.msard.2022.103507

Cited by 12 publications

(4 citation statements)

References 41 publications

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“…This makes harmful substances, in ammatory mediators, and immune cells more likely to enter neural tissues, resulting in neuroin ammation and nerve damage. Both Carnero Contentti E and our study con rm the close correlation between PLR levels and the severity of disability in NMOSD patients [23] .…”

Section: Discussionsupporting

confidence: 80%

“…Carnero Contentti E et al found that the interaction between the endocrine system and the immune system may signi cantly promote the onset of NMOSD, indicating that elevated levels of PLR in the blood are often closely associated with the severity and prognosis of NMOSD [23] . Our study results are consistent with those of Carnero Contentti E's study.…”

Section: Discussionmentioning

confidence: 99%

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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: Discussionsupporting

confidence: 80%

Section: Discussionmentioning

confidence: 99%

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

Zheng,

Yan,

Yin

et al. 2024

Preprint

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“…A research endeavor conducted in Argentina delineated that PLR levels in NMOSD patients were notably higher when compared to those diagnosed with multiple sclerosis and highlighted PLR's role as an independent predictor of severe neurological disability (EDSS ⩾ 4) in NMOSD patients at the 2-year mark. 59…”

Section: Neutrophil-to-lymphocyte Ratio and Platelet-tolymphocyte Ratiomentioning

confidence: 99%

Deciphering prognostic indicators in AQP4-IgG-seropositive neuromyelitis optica spectrum disorder: An integrative review of demographic and laboratory factors

Guo,

Wang,

Huang

et al. 2023

Mult Scler

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Background: Neuromyelitis optica spectrum disorder (NMOSD) is a group of inflammatory diseases affecting the central nervous system, characterized by optic neuritis and myelitis. The complex nature of NMOSD and varied patient response necessitates personalized treatment and efficient patient stratification strategies. Objective: To provide a comprehensive review of recent advances in clinical and biomarker research related to aquaporin-4 (AQP4)-immunoglobulin G (IgG)-seropositive NMOSD prognosis and identify key areas for future research. Methods: A comprehensive review and synthesis of recent literature were conducted, focusing on demographic factors and laboratory investigations. Results: Demographic factors, such as age, ethnicity, and sex, influence NMOSD prognosis. Key biomarkers for NMOSD prognosis include homocysteine, antinuclear antibodies, neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, thyroid hormone levels, neurofilament light chain levels, and serum glial fibrillary acidic protein might also predict NMOSD attack prognosis. Conclusion: Further investigation is required to understand sex-related disparities and biomarker inconsistencies. Identification and understanding of these factors can aid in the development of personalized therapeutic strategies, thereby improving outcomes for NMOSD patients. Future studies should focus on unifying research design for consistent results.

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“…In AQP4-IgG-positive NMOSD mice, promoting neutrophil apoptosis showed potential for reducing brain damage ( 12 ). Early-stage inhibition of peripheral blood platelet elevation was linked to halting disease progression ( 13 ). Furthermore, AQP4-IgG-positive NMOSD patients exhibited significantly elevated neutrophils, NLR, platelet-to-lymphocyte ratio (PLR), and platelet × NLR (systemic immune-inflammation index, SII) compared to both multiple sclerosis (MS) patients and healthy individuals ( 14 ).…”

Section: Introductionmentioning

confidence: 99%

Systemic inflammation response index is a useful indicator in distinguishing MOGAD from AQP4-IgG-positive NMOSD

Wang,

Xia,

et al. 2024

Front. Immunol.

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ObjectiveTo identify reliable immune-inflammation indicators for distinguishing myelin oligodendrocyte glycoprotein antibody-associated disease (MOGAD) from anti–aquaporin-4 immunoglobulin G (AQP4-IgG)-positive neuromyelitis optica spectrum disorders (NMOSD). To assess these indicators’ predictive significance in MOGAD recurrence.MethodsThis study included 25 MOGAD patients, 60 AQP4-IgG-positive NMOSD patients, and 60 healthy controls (HCs). Age and gender were matched among these three groups. Participant clinical and imaging findings, expanded disability status scale (EDSS) scores, cerebrospinal fluid (CSF) information, and blood cell counts were documented. Subsequently, immune-inflammation indicators were calculated and compared among the MOGAD, AQP4-IgG-positive NMOSD, and HC groups. Furthermore, we employed ROC curve analysis to assess the predictive performance of each indicator and binary logistic regression analysis to assess potential risk factors.ResultsIn MOGAD patients, systemic inflammation response index (SIRI), CSF white cell count (WCC), and CSF immunoglobulin A (IgA) levels were significantly higher than in AQP4-IgG-positive NMOSD patients (p = 0.038, p = 0.039, p = 0.021, respectively). The ROC curves showed that SIRI had a sensitivity of 0.68 and a specificity of 0.7 for distinguishing MOGAD from AQP4-IgG-positive NMOSD, with an AUC of 0.692 (95% CI: 0.567-0.818, p = 0.0054). Additionally, compared to HCs, both MOGAD and AQP4-IgG-positive NMOSD patients had higher neutrophils, neutrophil-to-lymphocyte ratio (NLR), SIRI, and systemic immune-inflammation index (SII). Eight (32%) of the 25 MOGAD patients had recurrence within 12 months. We found that the monocyte-to-lymphocyte ratio (MLR, AUC = 0.805, 95% CI = 0.616–0.994, cut-off value = 0.200, sensitivity = 0.750, specificity = 0.882) was an effective predictor of MOGAD recurrence. Binary logistic regression analysis showed that MLR below 0.200 at first admission was the only risk factor for recurrence (p = 0.005, odds ratio =22.5, 95% CI: 2.552–198.376).ConclusionElevated SIRI aids in distinguishing MOGAD from AQP4-IgG-positive NMOSD; lower MLR levels may be linked to the risk of MOGAD recurrence.

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Platelet-to-lymphocyte ratio differs between MS and NMOSD at disease onset and predict disability

Cited by 12 publications

References 41 publications

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

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

Deciphering prognostic indicators in AQP4-IgG-seropositive neuromyelitis optica spectrum disorder: An integrative review of demographic and laboratory factors

Systemic inflammation response index is a useful indicator in distinguishing MOGAD from AQP4-IgG-positive NMOSD

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