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The role of intrathecal free light chains kappa for the detection of autoimmune encephalitis in subacute onset neuropsychiatric syndromes.

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  • معلومة اضافية
    • المصدر:
      Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE
    • بيانات النشر:
      Original Publication: London : Nature Publishing Group, copyright 2011-
    • الموضوع:
    • نبذة مختصرة :
      Intrathecal synthesis of free light chains kappa (FLCK) is increasingly recognized as a marker of inflammatory CNS pathologies. Here, we tested the performance of FLCK in differentiating autoimmune encephalitis (AIE) from non-inflammatory etiologies in subacute onset neuropsychiatric syndromes. Patients undergoing diagnostic work-up for suspected autoimmune encephalitis at our department between 2015 and 2020 were retrospectively assessed for definitive diagnosis, available CSF and blood samples, as well as complete clinical records. Intrathecal FLCK was measured along with established CSF markers of CNS inflammation. The study cohort consisted of 19 patients with antibody-mediated AIE (AIE + ), 18 patients with suspected AIE but without detectable autoantibodies (AIE - ), 10 patients with infectious (viral) encephalitis (INE), and 15 patients with degenerative encephalopathies (DGE). 25 age- and sex-matched patients with non-inflammatory neurological diseases (NIND) were used as a control group. All AIE + patients exhibited intrathecal synthesis of FLCK compared to only 39% of AIE - patients and 81% of patients in the INE group. No intrathecal synthesis of FLCK was found in DGE and NIND patients. While intrathecal FLCK was equally specific for an inflammatory etiology as oligoclonal bands (OCB) in the cerebrospinal fluid (CSF), the sensitivity of intrathecal FLCK for any inflammatory intrathecal process was higher than that of OCB (83% vs. 38%). Intrathecal FLCK synthesis was found to discriminate AIE + from non-inflammatory encephalopathies and AIE - when the CSF cell count was normal [receiver operating characteristic (ROC) analysis area under the curve (AUC): 0.867, p = 0.002], while it failed to differentiate between AIE + and INE in the presence of CSF pleocytosis (AUC: 0.561, p = 0.607). In conclusion, in the absence of CSF pleocytosis, intrathecal FLCK discriminated AIE + from competing diagnoses in our cohort of subacute onset neuropsychiatric syndromes. In addition to established markers of CSF inflammation, intrathecal FLCK might support clinical decision-making and contribute to selecting patients for (repeated) antibody testing.
      (© 2023. Springer Nature Limited.)
    • References:
      Titulaer, M. J. et al. Treatment and prognostic factors for long-term outcome in patients with anti-NMDA receptor encephalitis: An observational cohort study. Lancet Neurol. 12, 157–165. https://doi.org/10.1016/S1474-4422(12)70310-1 (2013). (PMID: 10.1016/S1474-4422(12)70310-1232906303563251)
      Dubey, D. et al. Autoimmune encephalitis epidemiology and a comparison to infectious encephalitis. Ann. Neurol. 83, 166–177. https://doi.org/10.1002/ana.25131 (2018). (PMID: 10.1002/ana.25131292932736011827)
      Graus, F. et al. A clinical approach to diagnosis of autoimmune encephalitis. Lancet Neurol. 15, 391–404. https://doi.org/10.1016/S1474-4422(15)00401-9 (2016). (PMID: 10.1016/S1474-4422(15)00401-9269069645066574)
      Ruiz-Garcia, R. et al. Limitations of a commercial assay as diagnostic test of autoimmune encephalitis. Front. Immunol. 12, 691536. https://doi.org/10.3389/fimmu.2021.691536 (2021). (PMID: 10.3389/fimmu.2021.691536342677588276168)
      Thaler, F. S. et al. Rituximab treatment and long-term outcome of patients with autoimmune encephalitis: Real-world evidence from the GENERATE registry. Neurol. Neuroimmunol. Neuroinflamm. https://doi.org/10.1212/NXI.0000000000001088 (2021). (PMID: 10.1212/NXI.0000000000001088346972248546742)
      Gross, C. C. et al. Classification of neurological diseases using multi-dimensional CSF analysis. Brain 144, 2625–2634. https://doi.org/10.1093/brain/awab147 (2021). (PMID: 10.1093/brain/awab147338483198557345)
      Kaplan, B. et al. Free light chain monomer-dimer patterns in the diagnosis of multiple sclerosis. J. Immunol. Methods 390, 74–80. https://doi.org/10.1016/j.jim.2013.01.010 (2013). (PMID: 10.1016/j.jim.2013.01.01023376556)
      Konen, F. F. et al. Kappa free light chains in cerebrospinal fluid in inflammatory and non-inflammatory neurological diseases. Brain Sci. https://doi.org/10.3390/brainsci12040475 (2022). (PMID: 10.3390/brainsci12040475354480069030640)
      Konen, F. F. et al. The impact of immunomodulatory treatment on kappa free light chains as biomarker in neuroinflammation. Cells https://doi.org/10.3390/cells9040842 (2020). (PMID: 10.3390/cells9040842322443627226742)
      Leurs, C. E. et al. Kappa free light chains is a valid tool in the diagnostics of MS: A large multicenter study. Mult. Scler. 26, 912–923. https://doi.org/10.1177/1352458519845844 (2020). (PMID: 10.1177/135245851984584431066634)
      Susse, M. et al. Free light chains kappa can differentiate between myelitis and noninflammatory myelopathy. Neurol. Neuroimmunol. Neuroinflamm. https://doi.org/10.1212/NXI.0000000000000892 (2020). (PMID: 10.1212/NXI.0000000000000892329486487524577)
      Hannich, M. J. et al. Kappa free light chains in the context of blood contamination, and other IgA- and IgM-related cerebrospinal fluid disease pattern. Cells https://doi.org/10.3390/cells10030616 (2021). (PMID: 10.3390/cells10030616337994947998777)
      Schwenkenbecher, P. et al. The influence of blood contamination on cerebrospinal fluid diagnostics. Front. Neurol. 10, 584. https://doi.org/10.3389/fneur.2019.00584 (2019). (PMID: 10.3389/fneur.2019.00584312495476582628)
      Reiber, H., Zeman, D., Kusnierova, P., Mundwiler, E. & Bernasconi, L. Diagnostic relevance of free light chains in cerebrospinal fluid—the hyperbolic reference range for reliable data interpretation in quotient diagrams. Clin. Chim. Acta 497, 153–162. https://doi.org/10.1016/j.cca.2019.07.027 (2019). (PMID: 10.1016/j.cca.2019.07.02731351929)
      Schwenkenbecher, P. et al. Reiber’s diagram for kappa free light chains: The new standard for assessing intrathecal synthesis?. Diagnostics 9, 194. https://doi.org/10.3390/diagnostics9040194 (2019). (PMID: 10.3390/diagnostics9040194317440966963502)
      Guasp, M. et al. Clinical, neuroimmunologic, and CSF investigations in first episode psychosis. Neurology 97, e61–e75. https://doi.org/10.1212/WNL.0000000000012191 (2021). (PMID: 10.1212/WNL.000000000001219133980703)
      Irani, S. R. et al. N-methyl-D-aspartate antibody encephalitis: Temporal progression of clinical and paraclinical observations in a predominantly non-paraneoplastic disorder of both sexes. Brain 133, 1655–1667. https://doi.org/10.1093/brain/awq113 (2010). (PMID: 10.1093/brain/awq113205112822877907)
      Durr, M. et al. CSF findings in acute NMDAR and LGI1 antibody-associated autoimmune encephalitis. Neurologyneuroimmunol. Neuroinflamm. https://doi.org/10.1212/NXI.0000000000001086 (2021). (PMID: 10.1212/NXI.0000000000001086)
      Blinder, T. & Lewerenz, J. Cerebrospinal fluid findings in patients with autoimmune encephalitis-a systematic analysis. Front. Neurol. 10, 804. https://doi.org/10.3389/fneur.2019.00804 (2019). (PMID: 10.3389/fneur.2019.00804314042576670288)
      Toscano, S. et al. A dynamic interpretation of kappaFLC index for the diagnosis of multiple sclerosis: A change of perspective. J. Neurol. https://doi.org/10.1007/s00415-023-11952-3 (2023). (PMID: 10.1007/s00415-023-11952-33763901610632300)
      Gudowska-Sawczuk, M., Czupryna, P., Moniuszko-Malinowska, A., Pancewicz, S. & Mroczko, B. Free immunoglobulin light chains in patients with tick-borne encephalitis: Before and after treatment. J. Clin. Med. https://doi.org/10.3390/jcm10132922 (2021). (PMID: 10.3390/jcm10132922344419798397099)
      Flanagan, E. P. et al. Autoimmune encephalitis misdiagnosis in adults. JAMA Neurol. 80, 30–39. https://doi.org/10.1001/jamaneurol.2022.4251 (2023). (PMID: 10.1001/jamaneurol.2022.425136441519)
      Dalmau, J. & Graus, F. Diagnostic criteria for autoimmune encephalitis: Utility and pitfalls for antibody-negative disease. Lancet Neurol. 22, 529–540. https://doi.org/10.1016/S1474-4422(23)00083-2 (2023). (PMID: 10.1016/S1474-4422(23)00083-237210100)
      Lee, W. J. et al. Seronegative autoimmune encephalitis: Clinical characteristics and factors associated with outcomes. Brain 145, 3509–3521. https://doi.org/10.1093/brain/awac166 (2022). (PMID: 10.1093/brain/awac16635512357)
      Charidimou, A. et al. The Boston criteria version 2.0 for cerebral amyloid angiopathy: A multicentre, retrospective, MRI-neuropathology diagnostic accuracy study. Lancet Neurol. 21, 714–725. https://doi.org/10.1016/S1474-4422(22)00208-3 (2022). (PMID: 10.1016/S1474-4422(22)00208-3358419109389452)
      Hoglinger, G. U. et al. Clinical diagnosis of progressive supranuclear palsy: The movement disorder society criteria. Mov. Disord. 32, 853–864. https://doi.org/10.1002/mds.26987 (2017). (PMID: 10.1002/mds.26987284670285516529)
      Kretzschmar, H. A., Ironside, J. W., DeArmond, S. J. & Tateishi, J. Diagnostic criteria for sporadic Creutzfeldt-Jakob disease. Arch. Neurol. 53, 913–920. https://doi.org/10.1001/archneur.1996.00550090125018 (1996). (PMID: 10.1001/archneur.1996.005500901250188815857)
      McKhann, G. M. et al. The diagnosis of dementia due to Alzheimer’s disease: Recommendations from the National Institute on Aging-Alzheimer’s Association workgroups on diagnostic guidelines for Alzheimer’s disease. Alzheimer’s Dement. J. Alzheimer’s Assoc. 7, 263–269. https://doi.org/10.1016/j.jalz.2011.03.005 (2011). (PMID: 10.1016/j.jalz.2011.03.005)
      Rascovsky, K. et al. Sensitivity of revised diagnostic criteria for the behavioural variant of frontotemporal dementia. Brain 134, 2456–2477. https://doi.org/10.1093/brain/awr179 (2011). (PMID: 10.1093/brain/awr179218108903170532)
      Shefner, J. M. et al. A proposal for new diagnostic criteria for ALS. Clin. Neurophysiol. 131, 1975–1978. https://doi.org/10.1016/j.clinph.2020.04.005 (2020). (PMID: 10.1016/j.clinph.2020.04.00532387049)
      Wenning, G. K. et al. The movement disorder society criteria for the diagnosis of multiple system atrophy. Mov. Disord. 37, 1131–1148. https://doi.org/10.1002/mds.29005 (2022). (PMID: 10.1002/mds.29005354454199321158)
      Teunissen, C. et al. Consensus definitions and application guidelines for control groups in cerebrospinal fluid biomarker studies in multiple sclerosis. Mult. Scler. 19, 1802–1809. https://doi.org/10.1177/1352458513488232 (2013). (PMID: 10.1177/135245851348823223695446)
      Reiber, H. Cerebrospinal fluid–physiology, analysis and interpretation of protein patterns for diagnosis of neurological diseases. Mult. Scler. 4, 99–107. https://doi.org/10.1177/135245859800400302 (1998). (PMID: 10.1177/1352458598004003029762655)
      Coyle, P. K. & Johnson, C. Optimal detection of oligoclonal bands in CSF by silver stain. Neurology 33, 1510–1512. https://doi.org/10.1212/wnl.33.11.1510 (1983). (PMID: 10.1212/wnl.33.11.15106195553)
      Andersson, M. et al. Cerebrospinal fluid in the diagnosis of multiple sclerosis: A consensus report. J. Neurol. Neurosurg. Psychiatry 57, 897–902. https://doi.org/10.1136/jnnp.57.8.897 (1994). (PMID: 10.1136/jnnp.57.8.89780571101073070)
      Lepennetier, G. et al. Cytokine and immune cell profiling in the cerebrospinal fluid of patients with neuro-inflammatory diseases. J. Neuroinflamm. 16, 219. https://doi.org/10.1186/s12974-019-1601-6 (2019). (PMID: 10.1186/s12974-019-1601-6)
      Levey, A. S. et al. A new equation to estimate glomerular filtration rate. Ann. Intern. Med. 150, 604–612. https://doi.org/10.7326/0003-4819-150-9-200905050-00006 (2009). (PMID: 10.7326/0003-4819-150-9-200905050-00006194148392763564)
    • الرقم المعرف:
      0 (Immunoglobulin Light Chains)
      0 (Oligoclonal Bands)
    • الموضوع:
      Hashimoto's encephalitis
    • الموضوع:
      Date Created: 20231011 Date Completed: 20231101 Latest Revision: 20231118
    • الموضوع:
      20231118
    • الرقم المعرف:
      PMC10567819
    • الرقم المعرف:
      10.1038/s41598-023-44427-6
    • الرقم المعرف:
      37821561