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Yan Y, Qiu W. Discussion on the Application of Rapid Immunoblot Assay for AQP4-IgG Detection-Reply. JAMA Neurol 2024; 81:555-556. [PMID: 38497954 DOI: 10.1001/jamaneurol.2024.0302] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/19/2024]
Affiliation(s)
- Yaping Yan
- Key Laboratory of the Ministry of Education for Medicinal Resources and Natural Pharmaceutical Chemistry, National Engineering Laboratory for Resource Development of Endangered Crude Drugs in Northwest of China, College of Life Sciences, Shaanxi Normal University, Xi'an, China
| | - Wei Qiu
- Department of Neurology of the Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
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Chatanaka MK, Avery LM, Pasic MD, Sithravadivel S, Rotstein D, Demos C, Cohen R, Gorham T, Wang M, Stengelin M, Mathew A, Sigal G, Wohlstadter J, Prassas I, Diamandis EP. The relationship between serum astroglial and neuronal markers and AQP4 and MOG autoantibodies. Clin Proteomics 2024; 21:28. [PMID: 38580905 PMCID: PMC10998414 DOI: 10.1186/s12014-024-09466-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2023] [Accepted: 02/14/2024] [Indexed: 04/07/2024] Open
Abstract
BACKGROUND Certain demyelinating disorders, such as neuromyelitis optica spectrum disorder (NMOSD) and myelin oligodendrocyte glycoprotein antibody-associated disease (MOGAD) exhibit serum autoantibodies against aquaporin-4 (αAQP4) and myelin oligodendrocyte glycoprotein (αMOG). The variability of the autoantibody presentation warrants further research into subtyping each case. METHODS To elucidate the relationship between astroglial and neuronal protein concentrations in the peripheral circulation with occurrence of these autoantibodies, 86 serum samples were analyzed using immunoassays. The protein concentration of glial fibrillary acidic protein (GFAP), neurofilament light chain (NFL) and tau protein was measured in 3 groups of subcategories of suspected NMOSD: αAQP4 positive (n = 20), αMOG positive (n = 32) and αMOG/αAQP4 seronegative (n = 34). Kruskal-Wallis analysis, univariate predictor analysis, and multivariate logistic regression with ROC curves were performed. RESULTS GFAP and NFL concentrations were significantly elevated in the αAQP4 positive group (p = 0.003; p = 0.042, respectively), and tau was elevated in the αMOG/αAQP4 seronegative group (p < 0.001). A logistic regression model to classify serostatus was able to separate αAQP4 seropositivity using GFAP + tau, and αMOG seropositivity using tau. The areas under the ROC curves (AUCs) were 0.77 and 0.72, respectively. Finally, a combined seropositivity versus negative status logistic regression model was generated, with AUC = 0.80. CONCLUSION The 3 markers can univariately and multivariately classify with moderate accuracy the samples with seropositivity and seronegativity for αAQP4 and αMOG.
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Affiliation(s)
- Miyo K Chatanaka
- Department of Laboratory and Medicine Pathobiology, University of Toronto, 60 Murray St. Box 32, Floor 6, Rm L6-201, Toronto, ON, M5T 3L9, Canada
- Laboratory Medicine Program, University Health Network, Toronto, ON, Canada
| | - Lisa M Avery
- Biostatistics Division, Dalla Lana School of Public Health, University of Toronto, Toronto, Canada
- Department of Biostatistics, The Princess Margaret Cancer Centre, University of Toronto, Toronto, Canada
| | - Maria D Pasic
- Department of Laboratory and Medicine Pathobiology, University of Toronto, 60 Murray St. Box 32, Floor 6, Rm L6-201, Toronto, ON, M5T 3L9, Canada
- Department of Laboratory Medicine, St. Joseph's Health Centre, Unity Health Toronto, Toronto, Canada
| | - Shanthan Sithravadivel
- Department of Laboratory Medicine, St. Joseph's Health Centre, Unity Health Toronto, Toronto, Canada
| | | | | | | | | | | | | | - Anu Mathew
- Meso Scale Diagnostics, LLC, Rockville, MD, USA
| | | | | | - Ioannis Prassas
- Laboratory Medicine Program, University Health Network, Toronto, ON, Canada
| | - Eleftherios P Diamandis
- Laboratory Medicine Program, University Health Network, Toronto, ON, Canada.
- Lunenfeld- Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, ON, Canada.
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Li G, Ma X, Xia L, Wei R, Wang X, Li C, Wang Y, He L, Ren H, Sun J, Qiu W. Integrative analysis of purine metabolites and gut microbiota in patients with neuromyelitis optica spectrum disorders after mycophenolate mofetil treatment. BMC Neurol 2023; 23:444. [PMID: 38102573 PMCID: PMC10725005 DOI: 10.1186/s12883-023-03500-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Accepted: 12/08/2023] [Indexed: 12/17/2023] Open
Abstract
BACKGROUND Neuromyelitis optica spectrum disorder (NMOSD) is a recurring inflammatory demyelinating disease that is commonly observed in Asian countries like China. Prior investigations have shown that mycophenolate mofetil (MMF) with better biocompatibility compared to azathioprine (AZA), and can prevent relapses of NMOSD, but the efficacy was controversially reported in different NMOSD cases. We aimed to explore the factors that weaken efficacy of MMF in NMOSD. METHODS A total of 34 NMOSD patients treated with MMF were prospectively enrolled and grouped according to the therapeutic efficacy as effective group (EG, n = 23) versus less-effective group (LEG, n = 11). The purine metabolites were profiled in serum samples and gut microbiota was analyzed using 16S rRNA sequencing with stool samples from the same patients. RESULTS Purine salvage pathway (PSP) metabolites (inosine, hypoxanthine, xanthine, guanine and uric acid) in the serum of NMOSD patients were elevated in the LEG compared to EG (p < 0.05). Additionally, the richness and microbial diversity of gut microbiota was found to be similar between EG and LEG patients. However, LEG patients had increased presence of Clostridium and Synergistes but decreased abundance of the Coprococcus genus. CONCLUSIONS The PSP metabolites and composition of the gut microbiota were changed between patients with or without optimal clinical response after MMF treatment. This may help us to understand the pharmacodynamics of MMF in NMOSD.
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Affiliation(s)
- Gong Li
- College of veterinary medicine, South China Agricultural University, Guangzhou, China
| | - Xiaoyu Ma
- Department of Neurology, The Second Hospital of Shandong University, Jinan, 250033, China
| | - Lijuan Xia
- College of veterinary medicine, South China Agricultural University, Guangzhou, China
| | - Ran Wei
- College of veterinary medicine, South China Agricultural University, Guangzhou, China
| | - Xiran Wang
- College of veterinary medicine, South China Agricultural University, Guangzhou, China
| | - Cang Li
- College of veterinary medicine, South China Agricultural University, Guangzhou, China
| | - Yuge Wang
- Department of Neurology, The Third Affiliated Hospital of Sun Yat-sen University, No. 600 Tianhe Road, Guangzhou, 510630, China
| | - Limin He
- College of veterinary medicine, South China Agricultural University, Guangzhou, China
| | - Hao Ren
- College of veterinary medicine, South China Agricultural University, Guangzhou, China
| | - Jian Sun
- College of veterinary medicine, South China Agricultural University, Guangzhou, China.
| | - Wei Qiu
- Department of Neurology, The Third Affiliated Hospital of Sun Yat-sen University, No. 600 Tianhe Road, Guangzhou, 510630, China.
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Chatanaka MK, Avery LM, Pasic MD, Sithravadivel S, Rotstein D, Demos C, Cohen R, Gorham T, Wang M, Stengelin M, Mathew A, Wohlstadter J, Prassas I, Diamandis EP. The relationship between serum astroglial and neuronal markers and AQP4 and MOG autoantibodies. Res Sq 2023:rs.3.rs-3659922. [PMID: 38077014 PMCID: PMC10705596 DOI: 10.21203/rs.3.rs-3659922/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/22/2023]
Abstract
Background Certain demyelinating disorders, such as neuromyelitis optica spectrum disorder (NMOSD) and myelin oligodendrocyte glycoprotein antibody-associated disease (MOGAD) exhibit serum autoantibodies against aquaporin-4 (αAQP4) and myelin oligodendrocyte glycoprotein (αMOG). The variability of the autoantibody presentation warrants further research into subtyping each case. Methods To elucidate the relationship between astroglial and neuronal protein concentrations in the peripheral circulation with occurrence of these autoantibodies, 86 serum samples were analyzed using immunoassays. The protein concentration of glial fibrillary acidic protein (GFAP), neurofilament light chain (NFL) and tau protein was measured in 3 groups of subcategories of suspected NMOSD: αAQP4 positive (n = 20), αMOG positive (n = 32) and αMOG/αAQP4 seronegative (n = 34). Kruskal-Wallis analysis, univariate predictor analysis, and multivariate logistic regression with ROC curves were performed. Results GFAP and NFL concentrations were significantly elevated in the αAQP4 positive group (p = 0.003; p = 0.042, respectively), and tau was elevated in the αMOG/αAQP4 seronegative group (p < 0.001). A logistic regression model to classify serostatus was able to separate αAQP4 seropositivity using GFAP + tau, and αMOG seropositivity using tau. The areas under the ROC curves (AUCs) were 0.77 and 0.72, respectively. Finally, a combined seropositivity versus negative status logistic regression model was generated, with AUC = 0.80. Conclusion The 3 markers can univariately and multivariately classify with moderate accuracy the samples with seropositivity and seronegativity for αAQP4 and αMOG.
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