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BACKGROUND: Neuropsychiatric systemic lupus erythematosus (NPSLE) is a poorly understood and heterogeneous manifestation of SLE. Common major NPSLE syndromes include strokes, seizures, myelitis, and aseptic meningitis. Easily obtainable biomarkers are needed to assist in early diagnosis and improve outcomes for NPSLE. A frequent end-result of major syndromes is neuronal or glial injury. Blood-based neurofilament light (NfL) and glial fibrillary acidic protein (GFAP) have been utilized as markers for monitoring disease activity and/or severity in other neurodegenerative and neuroinflammatory diseases; however, they have not been evaluated in active major NPSLE. METHODS: This was a case-control study. We enrolled patients aged 12-60 years with active major NPSLE, SLE without active major NPSLE, and healthy controls. Active NPSLE was defined as being <6 months from last new or worsening neuropsychiatric symptom. Demographics, clinical data, and serum or plasma biosamples were collected. RESULTS: Thirteen patients with active major NPSLE, 13 age/sex/kidney function matched SLE controls without active major NPSLE, and 13 age/sex matched healthy controls (mean ages 26.8, 27.3, 26.6 years) were included. 92% of each group were female. Major syndromes included stroke (5), autonomic disorder (3), demyelinating disease (2), aseptic meningitis (2), sensorimotor polyneuropathy (2), cranial neuropathy (1), seizures (1), and myelopathy (2). Mean (standard deviation) blood NfL and GFAP were 3.6 pg/ml (2.0) and 50.4 pg/ml (15.0), respectively, for the healthy controls. Compared to healthy controls, SLE without active major NPSLE had mean blood NfL and GFAP levels 1.3 pg/ml (p = .42) and 1.2 pg/ml higher (p = .53), respectively. Blood NfL was on average 17.9 pg/ml higher (95% CI: 9.2, 34.5; p < .001) and blood GFAP was on average 3.2 pg/ml higher (95% CI: 1.9, 5.5; p < .001) for cases of active major NPSLE compared to SLE without active major NPSLE. In a subset of 6 patients sampled at multiple time points, blood NfL and GFAP decreased after immunotherapy. CONCLUSIONS: Blood NfL and GFAP levels are elevated in persons with SLE with active major NPSLE compared to disease matched controls and may lower after immunotherapy initiation. Larger and longitudinal studies are needed to ascertain their utility in a clinical setting.
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Although neurofilament light chain is a well-known marker of neuronal damage, its characterization at the proteoform level is underdeveloped. Here, we describe a new method to profile and quantify neurofilament light chain in plasma at the peptide level, using three in-house monoclonal antibodies targeting distinct protein domains and nano-liquid chromatography coupled to high-resolution tandem mass spectrometry. This study profiled and compared plasma neurofilament light chain to CSF in 102 older individuals (73.9 ± 6.3 years old), 37 of which had a clinical dementia rating greater than 0. We observed elevated neurofilament light chain in preclinical Alzheimer's disease plasma for two measures (NfL101 and NfL324) and CSF for seven measures (NfL92, NfL101, NfL117, NfL137, NfL148, NfL165 and NfL530). We found five plasma peptides (NfL92, NfL101, NfL117, NfL324 and NfL530) significantly associated with age and two (NfL148 and NfL324) with body mass index.
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Background: Patients suffering from neurological symptoms after COVID-19 vaccination (post-COVID-19 vaccination syndrome (PCVS)) have imposed an increasing challenge on medical practice, as diagnostic precision and therapeutic options are lacking. Underlying autoimmune dysfunctions, including autoantibodies, have been discussed in neurological disorders after SARS-CoV-2 infection and vaccination. Here, we describe the frequency and targets of autoantibodies against peripheral nervous system tissues in PCVS. Methods: Sera from 50 PCVS patients with peripheral neurological symptoms after COVID-19 vaccination and 35 vaccinated healthy controls were used in this study. IgG autoreactivity was measured via indirect immunofluorescence assays on mouse sciatic nerve teased fibers. The frequencies of autoantibodies were compared between groups using Fisher's exact test. Serum anti-ganglioside antibodies were measured in ganglioside blots. Autoantibody target identification was performed using immunoprecipitation coupled to mass spectrometry. Subsequent target confirmation was conducted via cell-based assays and ELISA. Results: Compared with controls, PCVS patients had a significantly greater frequency of autoantibodies against peripheral nervous system structures (9/50(18%) vs 1/35(3%); p=0.04). Autoantibodies bound to paranodes (n=5), axons (n=4), Schmidt-Lanterman incisures (n=2) and Schwann cell nuclei (n=1). Conversely, antibodies against gangliosides were absent in PCVS patients. Target identification and subsequent confirmation revealed various subunits of neurofilaments as well as DFS-70 as autoantibody epitopes. Conclusion: Our data suggest that autoantibodies against nervous system tissue could be relevant in PCVS patients. Autoantibodies against neurofilaments and cell nuclei with so far non-established links to this disease spectrum should be further elucidated to determine their biomarker potential.
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Autoanticorpos , Vacinas contra COVID-19 , COVID-19 , Imunoglobulina G , SARS-CoV-2 , Humanos , Autoanticorpos/imunologia , Autoanticorpos/sangue , Masculino , Feminino , Imunoglobulina G/imunologia , Imunoglobulina G/sangue , Pessoa de Meia-Idade , COVID-19/imunologia , SARS-CoV-2/imunologia , Vacinas contra COVID-19/imunologia , Vacinas contra COVID-19/administração & dosagem , Idoso , Camundongos , Animais , Adulto , Vacinação , Gangliosídeos/imunologia , Nervos Periféricos/imunologiaRESUMO
PURPOSE: To detect possible neuronal damage due to recurrent isolated seizures in patients with epilepsy in a clinical routine setting. METHODS: We measured the serum concentrations of neurofilament light chain (sNfL) in 46 outpatients with an at least monthly occurrence (self-reported) of generalized tonic-clonic seizures in the six months prior to the study and in 49 patients who had been seizure free (self-reported) for at least one year. We assigned the patients with seizure activity into groups with moderate and high seizure frequency. We measured sNfL with a highly sensitive single molecule array (Simoa). RESULTS: The majority (94 %) of all patients with epilepsy had sNfL values within the age adjusted reference ranges of our laboratory. Three patients with and three patients without seizure activity (each 3 %) showed elevated sNfL concentrations. Age adjusted sNfL concentrations did not differ significantly between patients with and without seizure activity in the total sample or in the female subgroup. In contrast, NfL concentrations were significantly higher in male patients with seizure activity and highest in the subgroup of those with high seizure activity, but were only above the reference range in two patients. sNfL concentrations did not differ between focal and generalized epilepsies and between genetic and structural etiologies. CONCLUSIONS: The sNfL concentrations in patients with epilepsy and healthy patients did not differ significantly. The finding of higher sNfL concentrations in males with self-reported seizure activity should be viewed with utmost caution because the difference was small and only two male patients showed sNfL concentrations above the reference range.
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BACKGROUND: Exercise in patients with multiple sclerosis (pwMS) found to improve symptom management and regain function. Whether exercise lowers neurofilament light chain (NfL), neuroaxonal injury biomarker, in MS remains unknown with conflicting findings. In this study, we aimed to assess the interaction between exercise and NfL levels in pwMS. METHODS: Systematic search of Medline, CENTRAL, Embase, and Web of Science was conducted until March 2024 to identify relevant reports. We included studies that investigated the mean change in NfL levels pre- and post-training programs and compared them to different exercise programs or no exercise activity control groups. A standardized mean difference (SMD) with a 95 % confidence interval were applied using a random-effects model. RESULTS: Of 222 articles, 7 studies met the inclusion criteria. Patients who underwent structured exercise programs had a significant decrease in blood NfL levels post-training (SMD -0.55; 95 % CI -1.00, -0.09). Specifically, outdoor Pilates and home-based trainings were significantly associated with blood NfL reduction (SMD -2.08; 95 % CI -2.99, -1.17) and (SMD -1.46; 95 % CI -2.28, -0.64), respectively. Patients in the control group did not show significant differences in blood NfL levels between the baseline and at the end of the study (SMD 0.04; 95 % CI -0.17, 0.24). Subgroup analysis based on duration revealed that 8 weeks of exercise significantly reduced blood NfL levels (SMD -0.73; 95 % CI -1.35, -0.11). CONCLUSION: Our study provides preliminary evidence for the potential role of training in reducing blood NfL levels in pwMS. However, more rigorous, and well-designed studies are warranted to confirm these findings.
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INTRODUCTION: The gold standard for serum neurofilament light chain (sNfL) determination is the single molecule array (SIMOA), the use of which is limited by availability and cost. The VEUS method is a fully automated, user-friendly diagnostic system requiring no sample preparation, with high reported sensitivity, multiplexing capability, and rapid diagnostics. The aim of this study was to compare the SIMOA and VEUS methods for determining sNfL levels in patients with multiple sclerosis (MS). METHODOLOGY: A single-centre cross-sectional study was conducted at the MS Centre of University Hospital Ostrava. Patients were enrolled in the study from January 18 to January 31, 2024. Inclusion criteria were: 1) diagnosis of MS according to the revised 2017 McDonald criteria, 2) age ≥18 years, and 3) signed informed consent. The NF-light V2 diagnostic kit (SIMOA, Quanterix) and the Singleplex Neurology assay kit (VEUDx, EZDiatech) were used to determine sNfL concentrations. The two methods were compared by use of Spearman correlation, Passing-Bablok regression, and Bland-Altman analysis. RESULTS: A total of 49 patients were included in the study, of whom 39 (79.6 %) were female. The median sNfL concentration was 7.73 (IQR 5.80-9.93) ng/L determined by SIMOA and 1.31 (IQR 1.18-1.65) ng/L by VEUS. We did not find a correlation between SIMOA and VEUS (rs = 0.025, p = 0.866). Passing-Bablok regression demonstrated a systematic and proportional difference between the two methods. A significant disagreement between them was also confirmed by the Bland-Altman plots. On average, sNfL values measured by SIMOA were 3.56 ng/L (95 % CI 0.78 to 6.34) higher than those measured by VEUS. CONCLUSION: Our investigation uncovered noteworthy disparities between the SIMOA and VEUS techniques in determining sNfL levels. Specifically, the VEUS technique systematically produces lower estimates of sNFL levels. This substantial variance emphasizes the importance of carefully evaluating assay methods when quantifying sNfL.
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Ischemic stroke remains a leading cause of mortality and long-term disability worldwide, necessitating efforts to identify biomarkers for diagnosis, prognosis, and treatment monitoring. The present study aimed to identify novel plasma biomarkers of neurodegeneration and inflammation in a mouse model of stroke induced by distal middle cerebral artery (MCA) occlusion. Using targeted lipidomic and global untargeted metabolomic profiling of plasma collected from aged male mice 24 hours after stroke and weekly thereafter for 7 weeks, we discovered distinct acute and chronic signatures. In the acute phase, we observed elevations in myelin-associated lipids, including sphingomyelin (SM) and hexosylceramide (HCER) lipid species, indicating brain lipid catabolism. In the chronic phase, we identified 12-hydroxyeicosatetraenoic acid (12-HETE) as a putative biomarker of prolonged inflammation, consistent with our previous observation of a biphasic pro-inflammatory response to ischemia in the mouse brain. These results provide insight into the metabolic alterations detectable in the plasma after stroke and highlight the potential of myelin degradation products and arachidonic acid derivatives as biomarkers of neurodegeneration and inflammation, respectively. These discoveries lay the groundwork for further validation in human studies and may improve stroke management strategies.
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OBJECTIVES: Ketamine can induce persisting psychosis in a subset of individuals who use it chronically and heavily. Previously, we found that the psychopathology and cognitive impairments in patients with ketamine dependence (KD) exhibiting persistent psychosis (KPP) bear resemblances with schizophrenia, albeit with less severity in those with no persistent psychosis (KNP). Furthermore, we also showed that patients with KD had higher blood levels of neurofilament light chain (NFL), a biomarker for neuroaxonal injury, compared to healthy controls. In this study, we aimed to investigate the differences in NFL levels between patients with KPP and KNP while comparing the levels of individuals with schizophrenia and healthy controls. METHODS: We enrolled 64 treatment-seeking ketamine-dependent patients (53 with KNP and 11 with KPP), 37 medication-free patients with schizophrenia, and 80 healthy controls. Blood NFL levels were measured by single molecule array immunoassay. RESULTS: NFL levels were highest in the KPP subgroup, followed by the KNP subgroup, and then the schizophrenia and control groups (mean ± SD: 24.5 ± 24.7, 12.9 ± 10.9, 9.2 ± 12.2, and 6.2 ± 2.2â¯pg/mL, respectively), with no significant difference observed between the schizophrenia and control groups. CONCLUSIONS: We found that KD is associated with higher NFL levels compared to schizophrenia, with the KPP subgroup showing the most consistent alterations. The observation of accentuated neuroaxonal pathology in individuals with KPP implies that this clinical manifestation is associated with a specific neurobiological phenotype, despite prior evidence suggesting syndromal similarity between schizophrenia and KPP.
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Acute coronavirus disease 2019 (COVID-19) is paralleled by a rise in the peripheral levels of neurofilament light chain (NfL), suggesting early nervous system damage. In a cohort of 103 COVID-19 patients, we studied the relationship between the NfL and peripheral inflammatory markers. We found that the NfL levels are significantly predicted by a panel of circulating cytokines/chemokines, including CRP, IL-4, IL-8, IL-9, Eotaxin, and MIP-1ß, which are highly up-regulated during COVID-19 and are associated with clinical outcomes. Our findings show that peripheral cytokines influence the plasma levels of the NfL, suggesting a potential role of the NfL as a marker of neuronal damage associated with COVID-19 inflammation.
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Biomarcadores , COVID-19 , Citocinas , Proteínas de Neurofilamentos , SARS-CoV-2 , Humanos , COVID-19/sangue , Proteínas de Neurofilamentos/sangue , Biomarcadores/sangue , Masculino , Feminino , Pessoa de Meia-Idade , Idoso , Citocinas/sangue , SARS-CoV-2/isolamento & purificação , Inflamação/sangue , AdultoRESUMO
OBJECTIVES: Clinically isolated syndrome (CIS) is a preclinical phase of multiple sclerosis (MS). The progression rate of CIS to clinical definite MS (CDMS) varies significantly across different populations, and identifying predictors of progression is crucial for early diagnosis and treatment. We aimed to investigate predictors of progression from CIS to CDMS in a Chinese cohort. METHODS: A single-center cohort study was conducted with newly diagnosed patients with CIS in China between 2018 and 2021. All patients underwent a comprehensive clinical evaluation, including neurological examination, magnetic resonance imaging, and laboratory tests. Follow-up assessments were conducted at regular intervals to monitor disease progression. Progression to CDMS was defined according to the 2017 McDonald criteria. Age, sex, Expanded Disability Status Scale (EDSS) score, number of patients with magnetic resonance imaging gadolinium-enhancing (Gd+) lesions, T2 lesions and Gd+ lesions count, CSF cell count, CSF total protein, CSF and serum neurofilament light chain (NfL), progranulin (PGRN) and Th17-related cytokines (IL-6, IL-17, IL-21, IL-22, IL-23 and TGF-ß) were measured for association with risk of progression to CDMS. RESULTS: A total of 96 CIS patients were recruited in the study. During the at least 24 months follow-up period, 57 (59.38â¯%) CIS patients progressed to CDMS, while 39 (40.62â¯%) patients without progression remained stable as CIS. Multivariate analysis revealed that younger age at onset (OR= 43.43, 95â¯% CI= 1.76-1071.68, p<0.021), higher CSF elevated protein (OR=58.64, 95â¯% CI=2.72-1264.51, p=0.009), higher CSF NfL levels (OR= 97.00, 95â¯% CI= 4.68-2012.99, p=0.003) and higher CSF IL-23 levels (OR= 412.02, 95â¯% CI=6.56-25869.60, p=0.004) were associated with high risk of progression to CDMS. CONCLUSION: Younger age at onset, elevated CSF NfL, IL-23 and protein levels might be progression predictors of CIS to CDMS in Chinese population.
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BACKGROUND: The study seeks to assess serum neurofilament light chain (NfL) levels in paediatric narcolepsy-diagnosed patients. Moreover, it aims to explore the correlation between NfL levels and the severity of narcolepsy symptoms, sleep quality, and manifestations of anxiety and depression. METHODS: This retrospective analysis included 98 paediatric narcolepsy cases and 100 controls matched for age and gender. The study focused on comparing serum NfL levels across these groups. Severity of EDS in patients was measured with the Epworth Sleepiness Scale (ESS). Moreover, the Pittsburgh Sleep Quality Index (PSQI), Hamilton Depression Rating Scale-24 (HAMD-24), and Hamilton Anxiety Scale-14 (HAMA-14) were used to assess narcolepsy symptoms, sleep quality, and psychological conditions. RESULTS: Patients with paediatric narcolepsy had significantly higher serum NfL levels than controls (P < 0.05). Additionally, a positive correlation was found between serum NfL levels and ESS scores (P < 0.001). An independent link between serum NfL and paediatric narcolepsy was established via multiple logistic regression (OR = 0.943, 95 % CI = 0.921-0.993, P = 0.004). Moreover, serum NfL's diagnostic precision for paediatric narcolepsy was evident from the ROC curve area of 0.938 (95 % CI: 0.86-0.99, P < 0.001). CONCLUSION: The study implies a positive correlation between increased serum NfL levels and the severity of paediatric narcolepsy. Nevertheless, the causative link between serum NfL levels and paediatric narcolepsy remains uncertain, highlighting the need for larger sample sizes and well-structured cohort studies to offer more definitive.
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OBJECTIVE: To show that magnetic resonance morphometry and laboratory biomarkers are promising methods for early detection of progressive forms of multiple sclerosis (MS). MATERIAL AND METHODS: Eighty-one patients with MS were examined, magnetic resonance morphometry was performed in all of them, 60 patients were analyzed for neurofilament light chains (sNFL), phosphorylated neurofilament heavy chains (spNFH) and glial fibrillary protein (sGFAP) in serum by enzyme-linked immunosorbent assay. RESULTS: Brain volumes were negatively correlated with disease duration, EDSS score, 25-foot walk test score and 9-ring test and positively correlated with the Symbol-Numeric Test and the Montreal Cognitive Assessment. Patients with progressive types of MS (PMS) had smaller volumes of brain gray matter, cerebellar white matter, occipital lobes, caudate nucleus, hippocampus, pallidum, thalamus, and contiguous nucleus. A CSF volume greater than 15.06% could suggest progression (CI 54.79-91%) with a sensitivity of 77.78% and specificity of 70.18%. When patients were on DMT, they had larger thalamic volumes (median 1.09% [1.6; 1.16] vs 1.04% [0.95; 1.14]; p=0.02) and smaller CSF volumes (13.86±2.87% vs. 15.55±3.49%; p=0.03). The levels of sNFL and spNFH were not increased in PMS and during exacerbations, and the low obtained values of sNFL suggest poor sensitivity of the method. There were trends (p=0.374) towards higher sGFAP in patients with PRS (median 3.2 ng/mL [1.85; 4.6] compared to remitting MS (2.05 ng/mL [1.29; 4.52]). CONCLUSION: The results demonstrate the differences in brain volumes in patients with different types of MS and emphasize the importance of long-term follow-up to better assess disease progression.
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Biomarcadores , Encéfalo , Progressão da Doença , Imageamento por Ressonância Magnética , Esclerose Múltipla , Proteínas de Neurofilamentos , Humanos , Feminino , Masculino , Biomarcadores/sangue , Adulto , Pessoa de Meia-Idade , Proteínas de Neurofilamentos/sangue , Encéfalo/diagnóstico por imagem , Encéfalo/patologia , Esclerose Múltipla/sangue , Esclerose Múltipla/diagnóstico por imagem , Esclerose Múltipla/patologia , Proteína Glial Fibrilar Ácida/sangueRESUMO
INTRODUCTION: This study focuses on investigating the relationship between serum neurofilament light chain (sNfL) and urinary albumin-to-creatinine ratio (uACR) among American adults aged 25-75. METHODS: An analysis was conducted on information gathered from 1741 individuals aged between 25 and 75 who participated in the National Health and Nutrition Examination Survey (NHANES) during the years 2013-2014. Generalized linear models were utilized, and restricted cubic spline (RCS) analysis was conducted to assess a non-linear relationship. RESULTS: Upon adjusting for multiple variables, a non-linear inverse J-shaped relationship was observed between sNfL and uACR. Compared with individuals in quartile 1 (Q1) of sNfL (2.8-8.3), those with quartile 4 (Q4) (≥19.1) had an adjusted ß for uACR of 51.57. CONCLUSIONS: The study found a J-shaped curve linking sNfL and uACR in American adults, with a turning point around log(sNfL) 2.928 pg/mL.
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Albuminúria , Creatinina , Proteínas de Neurofilamentos , Inquéritos Nutricionais , Humanos , Pessoa de Meia-Idade , Masculino , Feminino , Adulto , Proteínas de Neurofilamentos/sangue , Proteínas de Neurofilamentos/urina , Albuminúria/urina , Albuminúria/sangue , Estados Unidos , Idoso , Creatinina/sangue , Creatinina/urina , Biomarcadores/sangue , Biomarcadores/urina , Estudos Transversais , Modelos LinearesRESUMO
It is debated whether central nervous system involvement begins during acute HIV infection in persons without meningitis/encephalitis and if specific antiretroviral drugs or combinations would be beneficial. Neurologically asymptomatic participants enrolled in a randomized and controlled study comparing three combination antiretroviral regimens (tenofovir alafenamide/emtricitabine plus dolutegravir, darunavir or both) during primary HIV infection were enrolled. Serum and cerebrospinal fluid (CSF) were collected at baseline, 12 and 48 (serum only) weeks after treatment initiation. Single Molecule Array was used to measure neurofilament light chain (NFL), total tau protein (Tau), Brain-Derived Neurotrophic Factor (BDNF), Glial Fibrillary Acidic Protein (GFAP), Ubiquitin C-terminal Hydrolase (UCH-L1). We assessed the longitudinal change in biomarkers over time as well as the change in the prevalence of serum NFL concentrations above previously published age-adjusted cut-offs (7â pg/mL if 5-18 years, 10â pg/mL if 18-51 years, 15â pg/mL if 51-61 years, 20â pg/mL if 61-70 years and 35â pg/mL if >70 years). Serum was available from 47 participants at all time points while CSF was in 13 and 7 participants (baseline/W12). We observed a significant direct serum-to-CSF correlation for NFL (rho = 0.692, p = 0.009), GFAP (rho = 0.659, p = 0.014) and BDNF (rho = 0.587, p = 0.045). Serum (rho = 0.560, p = 0.046) and CSF NFL (rho = 0.582, p = 0.037) concentrations were directly associated with CSF HIV RNA levels. We observed a significant decrease over time in serum NFL (p = 0.006) and GFAP (p = 0.006) but not in the other biomarkers. No significant difference was observed among the treatment arms. At baseline, serum and CSF age-adjusted NFL levels were above age-adjusted cut-offs in 23 (48.9%) and 4 participants (30.8%); considering serum NFL, this proportion was lower at weeks 12 (31.9%, p = 0.057) and 48 (27.7%, p = 0.13). A relevant proportion of neurologically asymptomatic participants had abnormal CSF and serum NFL levels during primary HIV infection. NFL and GFAP decreased in serum following combination antiretroviral therapy without significant differences among the treatment arms.
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INTRODUCTION: We investigated blood DNA methylation patterns associated with 15 well-established cerebrospinal fluid (CSF) biomarkers of Alzheimer's disease (AD) pathophysiology, neuroinflammation, and neurodegeneration. METHODS: We assessed DNA methylation in 885 blood samples from the European Medical Information Framework for Alzheimer's Disease (EMIF-AD) study using the EPIC array. RESULTS: We identified Bonferroni-significant differential methylation associated with CSF YKL-40 (five loci) and neurofilament light chain (NfL; seven loci) levels, with two of the loci associated with CSF YKL-40 levels correlating with plasma YKL-40 levels. A co-localization analysis showed shared genetic variants underlying YKL-40 DNA methylation and CSF protein levels, with evidence that DNA methylation mediates the association between genotype and protein levels. Weighted gene correlation network analysis identified two modules of co-methylated loci correlated with several amyloid measures and enriched in pathways associated with lipoproteins and development. DISCUSSION: We conducted the most comprehensive epigenome-wide association study (EWAS) of AD-relevant CSF biomarkers to date. Future work should explore the relationship between YKL-40 genotype, DNA methylation, and protein levels in the brain. HIGHLIGHTS: Blood DNA methylation was assessed in the EMIF-AD MBD study. Epigenome-wide association studies (EWASs) were performed for 15 Alzheimer's disease (AD)-relevant cerebrospinal fluid (CSF) biomarker measures. Five Bonferroni-significant loci were associated with YKL-40 levels and seven with neurofilament light chain (NfL). DNA methylation in YKL-40 co-localized with previously reported genetic variation. DNA methylation potentially mediates the effect of single-nucleotide polymorphisms (SNPs) in YKL-40 on CSF protein levels.
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BACKGROUND: Protein biomarkers have been broadly investigated in cerebrospinal fluid and blood for the detection of neurodegenerative diseases, yet a clinically useful diagnostic test to detect early, pre-symptomatic Alzheimer's disease (AD) remains elusive. We conducted this study to quantify Aß40, Aß42, total Tau (t-Tau), hyperphosphorylated Tau (ptau181), glial fibrillary acidic protein (GFAP) and neurofilament light chain (NfL) in eye fluids relative to blood. METHODS: In this cross-sectional study we collected vitreous humor, aqueous humor, tear fluid and plasma in patients undergoing surgery for eye disease. All six biomarkers were quantitatively measured by digital immunoassay. Spearman and Bland-Altman correlation analyses were performed to assess the agreement of levels between ocular fluids and plasma. RESULTS: Seventy-nine adults underwent pars-plana vitrectomy in at least one eye. Of the 79, there were 77 vitreous, 67 blood, 56 tear fluid, and 51 aqueous samples. All six biomarkers were quantified in each bio-sample, except GFAP and NfL in tear fluid due to low sample volume. All six biomarkers were elevated in vitreous humor compared to plasma samples. T-Tau, ptau181, GFAP and NfL were higher in aqueous than in plasma, and t-Tau and ptau181 concentrations were higher in tear fluid than in plasma. Significant correlations were found between Aß40 in plasma and tears (r = 0.5; p = 0.019), t-Tau in plasma and vitreous (r = 0.4; p = 0.004), NfL in plasma and vitreous (r = 0.3; p = 0.006) and plasma and aqueous (r = 0.5; p = 0.004). No significant associations were found for Aß42, ptau181 and GFAP among ocular fluids relative to plasma. Bland-Altman analysis showed aqueous humor had the closest agreement to plasma across all biomarkers. Biomarker levels in ocular fluids revealed statistically significant associations between vitreous and aqueous for t-Tau (r = 0.5; p = 0.001), GFAP (r = 0.6; p < 0.001) and NfL (r = 0.7; p < 0.001). CONCLUSION: AD biomarkers are detectable in greater quantities in eye fluids than in plasma and show correlations with levels in plasma. Future studies are needed to assess the utility of ocular fluid biomarkers as diagnostic and prognostic markers for AD, especially in those at risk with eye disease.
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Peptídeos beta-Amiloides , Humor Aquoso , Biomarcadores , Proteína Glial Fibrilar Ácida , Proteínas de Neurofilamentos , Lágrimas , Corpo Vítreo , Proteínas tau , Humanos , Feminino , Masculino , Biomarcadores/sangue , Proteínas tau/sangue , Proteínas tau/líquido cefalorraquidiano , Proteínas tau/metabolismo , Idoso , Estudos Transversais , Peptídeos beta-Amiloides/sangue , Peptídeos beta-Amiloides/líquido cefalorraquidiano , Peptídeos beta-Amiloides/metabolismo , Pessoa de Meia-Idade , Humor Aquoso/metabolismo , Humor Aquoso/química , Proteínas de Neurofilamentos/sangue , Proteínas de Neurofilamentos/líquido cefalorraquidiano , Lágrimas/química , Lágrimas/metabolismo , Corpo Vítreo/metabolismo , Proteína Glial Fibrilar Ácida/sangue , Proteína Glial Fibrilar Ácida/metabolismo , Fragmentos de Peptídeos/líquido cefalorraquidiano , Fragmentos de Peptídeos/sangue , Idoso de 80 Anos ou mais , Doenças Neurodegenerativas/sangue , Doenças Neurodegenerativas/diagnóstico , Doenças Neurodegenerativas/metabolismo , AdultoRESUMO
Traumatic brain injury (TBI) leads to major membrane lipid breakdown. We investigated plasma lipids over 3 days post-TBI, to identify a signature of acute human TBI and assess its correlation with neuronal injury and inflammation. Plasma from patients with TBI (Abbreviated Injury Scale (AIS)3 - serious injury, n = 5; AIS4 - severe injury, n = 8), and controls (n = 13) was analysed for lipidomic profile, neurofilament light (NFL) and cytokines, and the omega-3 index was measured in red blood cells. A lipid signature separated TBI from controls, at 24 and 72 h. Major species driving the separation were: lysophosphatidylcholine (LPC), phosphatidylcholine (PC) and hexosylceramide (HexCer). Docosahexaenoic acid (DHA, 22:6) and LPC (0:0/22:6) decreased post-injury. NFL levels were increased at 24 and 72 h post-injury in AIS4 TBI vs. controls. Interleukin (IL-)6, IL-2 and IL-13 were elevated at 24 h in AIS4 patients vs. controls. NFL and IL-6 were negatively correlated with several lipids. The omega-3 index at admission was low in all patients (controls: 4.3 ± 1.1% and TBI: 4.0 ± 1.1%) and did not change significantly over 3 days post-injury. We have identified specific lipid changes, correlated with markers of injury and inflammation in acute TBI. These observations could inform future lipid-based therapeutic approaches.
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Aim: Neurofilament light chain (NfL) is a nonspecific sensitive biomarker of axonal damage.Methods: This case series identified cancer patients with neurological complications who had serum NfL measurements and paired these results to outcomes.Results: NfL serum levels were available in 15 patients with hematological malignancies or solid tumors. The neurological complications studied were immune effector cell-associated neurotoxicity syndrome, immune checkpoint inhibitor-related encephalopathy, anoxic brain injury, Guillain-Barre syndrome, hemophagocytic lymphohistiocytosis, transverse myelitis, paraneoplastic syndrome, central nervous system demyelinating disorder and chronic lymphocytic inflammation with pontine perivascular enhancement responsive to steroids. All patients but one with serum NfL >900 pg/ml died during hospitalization.Conclusion: Serum NfL levels consistently corresponded to death, disease severity or recovery in this series.
[Box: see text].
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Neoplasias , Proteínas de Neurofilamentos , Humanos , Masculino , Feminino , Pessoa de Meia-Idade , Proteínas de Neurofilamentos/sangue , Neoplasias/sangue , Neoplasias/complicações , Idoso , Adulto , Doenças do Sistema Nervoso/sangue , Doenças do Sistema Nervoso/etiologia , Biomarcadores/sangueRESUMO
Spinocerebellar ataxia type 3 (SCA3) is the most common type of disease related to poly-glutamine (polyQ) repeats. Its hallmark pathology is related to the abnormal accumulation of ataxin 3 with a longer polyQ tract (polyQ-ATXN3). However, there are other mechanisms related to SCA3 progression that require identifying trait and state biomarkers for a more accurate diagnosis and prognosis. Moreover, the identification of potential pharmacodynamic targets and assessment of therapeutic efficacy necessitates valid biomarker profiles. The aim of this review was to identify potential trait and state biomarkers and their potential value in clinical trials. Our results show that, in SCA3, there are different fluid biomarkers involved in neurodegeneration, oxidative stress, metabolism, miRNA and novel genes. However, neurofilament light chain NfL and polyQ-ATXN3 stand out as the most prevalent in body fluids and SCA3 stages. A heterogeneity analysis of NfL revealed that it may be a valuable state biomarker, particularly when measured in plasma. Nonetheless, since it could be a more beneficial approach to tracking SCA3 progression and clinical trial efficacy, it is more convenient to perform a biomarker profile evaluation than to rely on only one.
Assuntos
Biomarcadores , Doença de Machado-Joseph , Humanos , Doença de Machado-Joseph/genética , Doença de Machado-Joseph/metabolismo , Doença de Machado-Joseph/patologia , Ataxina-3/genética , Ataxina-3/metabolismo , Proteínas de Neurofilamentos/metabolismo , Peptídeos/metabolismo , Progressão da Doença , Estresse OxidativoRESUMO
INTRODUCTION: We developed a multimarker blood test result interpretation tool for the clinical dementia practice, including phosphorylated (P-)tau181, amyloid-beta (Abeta)42/40, glial fibrillary acidic protein (GFAP), and neurofilament light (NfL). METHODS: We measured the plasma biomarkers with Simoa (n = 1199), applied LASSO regression for biomarker selection and receiver operating characteristics (ROC) analyses to determine diagnostic accuracy. We validated our findings in two independent cohorts and constructed a visualization approach. RESULTS: P-tau181, GFAP, and NfL were selected. This combination had area under the curve (AUC) = 83% to identify amyloid positivity in pre-dementia stages, AUC = 87%-89% to differentiate Alzheimer's or controls from frontotemporal dementia, AUC = 74%-76% to differentiate Alzheimer's or controls from dementia with Lewy bodies. Highly reproducible AUCs were obtained in independent cohorts. The resulting visualization tool includes UpSet plots to visualize the stand-alone biomarker results and density plots to visualize the biomarker results combined. DISCUSSION: Our multimarker blood test interpretation tool is ready for testing in real-world clinical dementia settings. HIGHLIGHTS: We developed a multimarker blood test interpretation tool for clinical dementia practice. Our interpretation tool includes plasma biomarkers P-tau, GFAP, and NfL. Our tool is particularly useful for Alzheimer's and frontotemporal dementia diagnosis.