Single Molecule Array Research Articles

Abstract 4138781: Neuro-specific biomarkers for risk assessment of ischemic stroke and death in patients with atrial fibrillation not receiving oral anticoagulation

Background: Biomarkers measured in plasma reflecting cardiorenal dysfunction and inflammation are associated with clinical outcomes in atrial fibrillation (AF). We recently showed an association between the plasma level of the neuronal biomarker neurofilament light chain (NFL) and subsequent stroke and death in patients with AF not receiving oral anticoagulation (OAC). Purpose: We aimed to compare NFL with other circulating neuro-specific biomarkers, specifically glial fibrillary acidic protein (GFAP), tau, and ubiquitin carboxy-terminal hydrolase L1 (UCHL1), concerning associations with the risk of stroke and other outcomes in patients with AF. Methods: Concentrations of NFL, GFAP, tau, and UCHL1 were determined with Single Molecule Array (Simoa®) in plasma samples obtained at baseline from 967 patients with AF randomized to aspirin in the ACTIVE A trial. Median follow-up was 3.6 years. Associations between baseline biomarker concentrations, clinical variables (age, sex, body mass index, smoking, alcohol consumption, type of AF, cardiac rhythm at baseline, heart failure, hypertension, diabetes, prior stroke/transient ischemic attack, peripheral arterial disease, and myocardial infarction), and outcomes (ischemic stroke, cardiovascular and all-cause death) were analysed with Cox regression, adjusting for clinical variables and other biomarkers. Results: Increasing age and female sex were associated with elevated levels of all four biomarkers. Plasma levels of NFL were positively correlated with those of GFAP (r=0.67, p<0.001), tau (r=0.12, p<0.001), and UCHL1 (r=0.37, p<0.001). NFL was independently associated with subsequent ischemic stroke (HR 1.27, 95% CI 1.03–1.56 for a doubling of NFL), cardiovascular death (HR 1.37, 95% CI 1.13–1.64 for a doubling of NFL), and all-cause death (HR 1.46, 95% CI 1.25–1.70 for a doubling of NFL) after adjustment for clinical factors and other biomarkers. In unadjusted analyses, GFAP was associated with ischemic stroke and death; tau and UCHL1 with death only, however, these associations were not significant after adjusting for clinical variables (Table). Conclusions: In patients with AF not receiving OAC, NFL was independently associated with ischemic stroke and death. Further investigation of NFL and its association with clinical outcomes in patients with cardiovascular disease is therefore warranted.

Biomarkers of response to ocrelizumab in relapsing–remitting multiple sclerosis

ObjectiveTo ascertain the changes of serum neurofilament light chain (sNfL) and glial fibrillary acidic protein (sGFAP) values in relapsing–remitting multiple sclerosis (RRMS) patients treated with ocrelizumab and their association with treatment response.MethodsMulticenter prospective study including 115 RRMS patients initiating ocrelizumab treatment between February 2020 and March 2022 followed during a year. Serum samples were collected at baseline and every 3 months to measure sNfL and sGFAP levels using single-molecule array (SIMOA) technology. Based on age and body mass index, sNfL values were standardized using z-score. NEDA (non-evidence of disease activity)-3 status was defined for patients free of disease activity after a year of follow-up. Inflammation (INFL) was considered when new relapses occurred during follow-up or new MRI lesions were found at 1-year exploration. PIRA (progression independent of relapse activity) was defined as disability progression occurring in the absence of relapses or new MRI activity.ResultsAfter a year on ocrelizumab, 85 patients (73.9%) achieved NEDA-3. Thirty patients did not achieve NEDA: 20 (17.4%) because of INFL and 10 (8.7%) because of PIRA. Of INFL patients, 6 (30.0%) had relapses, and 17 (85.0%) had at least one new MRI lesion at the 12-month examination. At baseline, INFL patients had higher sNfL (p = 0.0003) and sGFAP (p = 0.03) than the NEDA-3 group. PIRA patients mostly exhibited low sNfL and heterogeneous sGFAP levels. After a year, NEDA-3 and INFL patients showed similar decreases in sNfL (p < 0.0001) and sGFAP (p < 0.0001 for NEDA-3 and p = 0.001 for INFL ones). However, the decrease occurred earlier in NEDA-3 patients. Accordingly, sNfL > 1.5 z-score 3 months after ocrelizumab initiation indicated a higher risk of inflammation (OR = 13.6; p < 0.0001). Decrease in sGFAP values occurred later in both groups, with significant reductions observed at 12 months for INFL and 6 and 12 months for NEDA-3. No significant changes in sNfL or sGFAP were observed in PIRA patients.ConclusionOcrelizumab induced normalization of sNfL and sGFAP in the majority of NEDA-3 and inflammatory patients but did not cause changes in the PIRA group. Our data suggest that normalization of sNfL and sGFAP is associated with the lack of inflammatory-associated disease progression but it may not affect non-inflammatory PIRA.

Neuroglial Biomarkers for Risk Assessment of Ischemic Stroke and Other Cardiovascular Events in Patients with Atrial Fibrillation Not Receiving Oral Anticoagulation.

Cardiac biomarkers improve risk prediction in patients with atrial fibrillation (AF). We recently demonstrated that the neuron-specific protein neurofilament light chain (NFL) was associated with ischemic stroke in patients with AF not receiving oral anticoagulation (OAC). The association of other neuroglial biomarkers reflecting brain injury, i.e., glial fibrillary acidic protein (GFAP), total tau (tau), and ubiquitin carboxy-terminal hydrolase L1 (UCHL1) with the risk of stroke and other cardiovascular outcomes in AF is unknown. Baseline plasma samples were available from 967 patients with AF not receiving OAC treatment. Concentrations of NFL, GFAP, tau, and UCHL1 were determined with Single Molecule Array (Simoa®). Associations between baseline biomarker level, clinical characteristics, and outcomes (ischemic stroke, hospitalization for heart failure, and all-cause death) were analyzed with multivariable Cox regression adjusted for clinical characteristics and other biomarkers. Higher levels of all four neuroglial biomarkers correlated with increasing age and female sex. During a median follow-up of 3.6 years, NFL was associated with increased risk of ischemic stroke (for a doubling in NFL, hazard ratio [HR] 1.27 95% confidence interval [CI] 1.03-1.56) and death (HR 1.46 95% CI 1.25-1.70). In adjusted analyses, GFAP, tau, and UCHL1 were not associated with stroke or death. NFL, tau, and UCHL1 were significantly associated with hospitalization for heart failure. In patients with AF not receiving OAC, NFL was the only neuroglial biomarker significantly and independently associated with the risk of ischemic stroke and death. Further studies evaluating NFL for stroke risk assessment in patients with AF and the impact of contemporary OAC treatment are warranted.

Serum Lipoprotein Profiling by NMR Spectroscopy Reveals Alterations in HDL-1 and HDL-2 Apo-A2 Subfractions in Alzheimer's Disease.

Identifying biomarkers for Alzheimer's disease (AD) is crucial, due to its complex pathology, which involves dysfunction in lipid transport, contributing to neuroinflammation, synaptic loss, and impaired amyloid-β clearance. Nuclear magnetic resonance (NMR) is able to quantify and stratify lipoproteins. The study investigated lipoproteins in blood from AD patients, aiming to evaluate their diagnostic potential. Serum and plasma were collected from AD patients (n = 25) and healthy individuals (n = 25). We conducted a comprehensive lipoprotein profiling on serum samples using NMR spectroscopy, analysing 112 lipoprotein subfractions. In plasma, we measured unspecific markers of neuronal damage and AD hallmark proteins using single molecule array technology. Additionally, clinical data and cerebrospinal fluid biomarker levels were also collected to enrich our data. Our findings, after adjusting for age and sex differences, highlight significant alterations in two specific lipoproteins; high-density lipoprotein (HDL)-1 Apo-A2 (H1A2) and HDL-2 Apo-A2 (H2A2), both with area under the curve (AUC) values of 0.67, 95% confidence interval (CI) = 0.52-0.82). These results indicate that these lipoprotein subfractions may have potential as indicators of AD-related metabolic changes.

Circulating medium- and long-chain acylcarnitines are associated with plasma P-tau181 in cognitively normal older adults.

Alzheimer's disease (AD) pathogenesis involves dysregulation in diverse biochemical processes. Nevertheless, plasma tau phosphorylated at threonine 181 (P-tau181), a recognised AD biomarker, has been described to reflect early-stage cortical amyloid-β (Aβ) deposition in cognitively normal (CN) adults. Therefore, identifying changes in plasma metabolites associated with plasma P-tau181 at the pre-clinical stage may provide insights into underlying biochemical mechanisms to better understand initial AD pathogenesis. In the current study, plasma P-tau181, quantified via single molecule array (Simoa) technology, and plasma metabolites, quantified via targeted-mass spectrometry, were investigated for associations in CN older adults and upon stratification by positron emission tomography (PET)-Aβ load. In addition, the P-tau181-linked metabolites were evaluated for cognitive performance and neuroimaging markers of AD and the potential to distinguish between CN Aβ- and CN Aβ+ individuals. Significant positive associations of medium- and long-chain acylcarnitines (ACs) were observed with P-tau181 in the entire cohort, CN Aβ- and CN Aβ+, suggesting a link between initial Aβ pathology and fatty acid oxidation-mediated energy metabolism pathways. However, in CN Aβ-, additional linear associations of P-tau181 were observed with muscle metabolism and nitric oxide homeostasis-associated metabolites. Upon investigating the P-tau181-linked metabolites for cognitive performance, significant inverse correlations of the verbal and visual episodic memory and the global composite score were noted in CN Aβ+ with medium- and long-chain ACs, suggesting prognostic value of ACs accompanying weaker cognitive performance. While investigating neuroimaging markers, ACs had positive associations with PET-Aβ load and inverse associations with hippocampal volume in CN Aβ+, indicating connections of ACs with initial AD pathogenesis. Furthermore, based on receiver operating characteristics analysis, the associated ACs potentially classified PET-Aβ status in older adults. Therefore, plasma P-tau181-linked circulating ACs may serve as potential prognostic markers for initial AD pathogenesis in CN older adults. However, further cross-sectional and longitudinal research in highly characterised AD cohorts is needed to validate current findings.

Measurement of α-synuclein as protein cargo in plasma extracellular vesicles

Extracellular vesicles (EVs) are released by all cells and hold great promise as a class of biomarkers. This promise has led to increased interest in measuring EV proteins from both total EVs as well as brain-derived EVs in plasma. However, measuring cargo proteins in EVs has been challenging because EVs are present at low levels, and EV isolation methods are imperfect at separating EVs from free proteins. Thus, knowing whether a protein measured after EV isolation is truly inside EVs is difficult. In this study, we developed methods to measure whether a protein is inside EVs and quantify the ratio of a protein in EVs relative to total plasma. To achieve this, we combined a high-yield size-exclusion chromatography protocol with an optimized protease protection assay and Single Molecule Array (Simoa) digital enzyme-linked immunoassays (ELISAs) for ultrasensitive measurement of proteins inside EVs. We applied these methods to analyze α-synuclein and confirmed that a small fraction of the total plasma α-synuclein is inside EVs. Additionally, we developed a highly sensitive Simoa assay for phosphorylated α-synuclein (phosphorylated at the Ser129 residue). We found enrichment in the phosphorylated α-synuclein to total α-synuclein ratio inside EVs relative to outside EVs. Finally, we applied the methods we developed to measure total and phosphorylated α-synuclein inside EVs from Parkinson's disease and Lewy body dementia patient samples. This work provides a framework for determining the levels of proteins in EVs and represents an important step in the development of EV diagnostics for diseases of the brain, as well as other organs.

Neurodegeneration is highly associated with comorbidity burden in HFrEF patients

Abstract Background Heart failure (HF) is associated with cognitive decline and risk for dementia. Blood levels of amyloid beta 40 and 42 (Aβ40, Aβ42), tau protein (tau), and neurofilament light chain (NfL) have been found to be altered in neurodegenerative disease. Previous research has established a clear association between these neuromarkers and the risk of developing cognitive dysfunction and mortality in the general population. Objective The aim of this study was to investigate the association between the respective neuromarkers and comorbidity burden, as well as to explore whether comorbidity burden impacts the relationship between neuromarkers and outcome in HF patients. Methods Plasma levels of Aβ40, Aβ42, tau, and NfL were quantified using a single-molecule array assay. The primary outcome parameter was all-cause mortality. Results A total of 470 HFrEF patients were enrolled in the study, with a median age of 62 years (IQR: 52–72); 77% were male. Median NT-proBNP concentration was 1812 pg/ml (IQR: 718–3881). Elevated levels of all biomarkers were closely associated with comorbidity burden (Figure 1). All neuromarkers showed increased levels in individuals with chronic kidney disease (CKD) and known carotid artery stenosis (CAS), except for Aβ40, which did not show significant elevation in CAS (NfL: p<0.001 for both; t-tau: p<0.001 and p=0.041; Aβ40: p<0.001 and p=0.050; Aβ42: p<0.001 and p=0.033, respectively). In patients with type 2 diabetes mellitus (T2DM) and coronary artery disease (CAD), only NfL levels were significantly elevated (p<0.001 for both), whereas atrial fibrillation (AF) was associated with higher levels of NfL and t-tau (p<0.001 for both). In individuals with iron deficiency, only Aβ42 levels were significantly higher (p=0.025). All biomarkers showed significant associations with all-cause mortality [crude HR for an increase in 1-log unit (95%CI): NfL 4.44 (3.02-6.53), t-tau 5.04 (2.97-8.58), Aβ40 3.90 (2.27-6.72), Aβ42 5.14 (2.84-9.32); p<0.001 for all] (Figure 2). These associations remained statistically significant after adjusting for comorbidity burden including AF, T2DM, CAD, CKD, CAS and ID [adjusted HR for an increase in 1-log unit (95%CI): NfL 3.28 (1.93-5.57), t-tau 3.96 (2.07-7.57), Aβ40 2.42 (1.34-4.38), Aβ42 3.05 (1.56-5.97); p<0.01 for all]. Conclusion The findings suggest a close connection between elevated levels of markers of neurodegeneration and increased comorbidity burden in HFrEF patients. While this association may indicate the cumulative risk leading to neuronal injury and HFrEF progression, a causal relationship cannot be excluded. The observed accelerated neurodegeneration in HFrEF underscores the need for further investigation into this complex interplay.Figure 1Figure 2

Neurodegenerative fluid biomarkers are enriched in human cervical lymph nodes.

In animal models, brain neurodegeneration biomarkers drain into cervical lymph nodes (CLNs), and this drainage function is reduced with ageing. If this occurred in humans, CLNs may provide a readily accessible measure of this aspect of protein clearance. We tested this hypothesis in people using ultrasound-guided fine needle aspiration (FNA). We measured amyloid-beta 40 and 42, phospho-Tau-181, glial-fibrillary-acidic-protein, and neurofilament-light using single molecule array in CLN aspirates and plasma from: i) a discovery cohort of 25 autoimmune patients, and from ii) plasma, CLNs and capillary blood in four healthy volunteers, an optimisation cohort. FNA was well-tolerated by all participants. In both cohorts, all biomarkers were detected in all plasma and CLN samples, other than neurofilament-light (8/17 of discovery cohort). CLN biomarker concentrations were significantly greater than plasma concentrations for all except neurofilament-light, most markedly for phospho-Tau-181 (266-fold; P<0.02), whose CLN concentrations decreased with age (Spearman r=-0.66, P=0.001). This study presents the first evidence that neurodegenerative biomarkers are detectable in human CLNs. Raised CLN:plasma biomarker ratios suggest their concentration in CLNs may offer a distinct compartment for minimally-invasive measurement of brain clearance and lymphatic drainage, with potential applicability to study of ageing and future clinical trials.

Serum neurofilament light chain in response to probiotics in bi-center, double-blind, randomized, placebo-controlled clinical trial (CleverAge Biota).

Neurodegenerative disorders affecting the brain and spinal cord are caused by a large number of factors. More recently, imbalances in gut microbiota are found to be one factor linked directly to neurological dysfunction. Probiotics prevent cognitive decline. For the first time, the effect of probiotics was assessed by monitoring the concentrations of the neurodegeneration biomarker neurofilament light chains (NfL) in a well-defined group of community-dwelling individuals. The aim of this study was to determine whether administration of our new probiotics could reduce NfL concentrations. The serum NfL concentrations were measured in total of 190 serum samples of 85 older community-dwelling individuals. The participants were randomly divided into two groups: the PROPLA group and the PLAPRO group. Individuals in the PROPLA group started with a three-month use of probiotics and continued with a three-month use of placebo while the order was reversed in the PLAPRO group. The participants underwent detailed examinations at three time points: at baseline, in three and six months. The serum NfL concentrations were determined using ultrasensitive single-molecule array (SIMOA) assay. Longitudinal comparisons of NfL concentrations between samplings at different time points in the PROPLA and PLAPRO groups showed no statistically significant differences. Baseline NfL concentrations at the beginning of the study and in the succeeding samplings were not significantly different for the two groups in cross-sectional comparisons. Serum NfL concentrations were not influenced by the three-month use of probiotics.

Multi-analyte proteomic analysis identifies blood-based neuroinflammation, cerebrovascular and synaptic biomarkers in preclinical Alzheimer’s disease

BackgroundBlood-based biomarkers are gaining grounds for the detection of Alzheimer’s disease (AD) and related disorders (ADRDs). However, two key obstacles remain: the lack of methods for multi-analyte assessments and the need for biomarkers for related pathophysiological processes like neuroinflammation, vascular, and synaptic dysfunction. A novel proteomic method for pre-selected analytes, based on proximity extension technology, was recently introduced. Referred to as the NULISAseq CNS disease panel, the assay simultaneously measures ~ 120 analytes related to neurodegenerative diseases, including those linked to both core (i.e., tau and amyloid-beta (Aβ)) and non-core AD processes. This study aimed to evaluate the technical and clinical performance of this novel targeted proteomic panel.MethodsThe NULISAseq CNS disease panel was applied to 176 plasma samples from 113 individuals in the MYHAT-NI cohort of predominantly cognitively normal participants from an economically underserved region in southwestern Pennsylvania, USA. Classical AD biomarkers, including p-tau181, p-tau217, p-tau231, GFAP, NEFL, Aβ40, and Aβ42, were independently measured using Single Molecule Array (Simoa) and correlations and diagnostic performances compared. Aβ pathology, tau pathology, and neurodegeneration (AT(N) statuses) were evaluated with [11C] PiB PET, [18F]AV-1451 PET, and an MRI-based AD-signature composite cortical thickness index, respectively. Linear mixed models were used to examine cross-sectional and Wilcoxon rank sum tests for longitudinal associations between NULISA and neuroimaging-determined AT(N) biomarkers.ResultsNULISA concurrently measured 116 plasma biomarkers with good technical performance (97.2 ± 13.9% targets gave signals above assay limits of detection), and significant correlation with Simoa assays for the classical biomarkers. Cross-sectionally, p-tau217 was the top hit to identify Aβ pathology, with age, sex, and APOE genotype-adjusted AUC of 0.930 (95%CI: 0.878–0.983). Fourteen markers were significantly decreased in Aβ-PET + participants, including TIMP3, BDNF, MDH1, and several cytokines. Longitudinally, FGF2, IL4, and IL9 exhibited Aβ PET-dependent yearly increases in Aβ-PET + participants. Novel plasma biomarkers with tau PET-dependent longitudinal changes included proteins associated with neuroinflammation, synaptic function, and cerebrovascular integrity, such as CHIT1, CHI3L1, NPTX1, PGF, PDGFRB, and VEGFA; all previously linked to AD but only reliable when measured in cerebrospinal fluid. The autophagosome cargo protein SQSTM1 exhibited significant association with neurodegeneration after adjusting age, sex, and APOE ε4 genotype.ConclusionsTogether, our results demonstrate the feasibility and potential of immunoassay-based multiplexing to provide a comprehensive view of AD-associated proteomic changes, consistent with the recently revised biological and diagnostic framework. Further validation of the identified inflammation, synaptic, and vascular markers will be important for establishing disease state markers in asymptomatic AD.

Elevated plasma and CSF neurofilament light chain concentrations are stabilized in response to mutant huntingtin lowering in the brains of Huntington’s disease mice

BackgroundTherapeutic approaches aimed at lowering toxic mutant huntingtin (mHTT) levels in the brain can reverse disease phenotypes in animal models of Huntington's disease (HD) and are currently being evaluated in clinical trials. Sensitive and dynamic response biomarkers are needed to assess the efficacy of such candidate therapies. Neurofilament light chain (NfL) is a biomarker of neurodegeneration that increases in cerebrospinal fluid (CSF) and blood with progression of HD. However, it remains unknown whether NfL in biofluids could serve as a response biomarker for assessing the efficacy of disease-modifying therapies for HD.MethodsLongitudinal plasma and cross-sectional CSF samples were collected from the YAC128 transgenic mouse model of HD and wild-type (WT) littermate control mice throughout the natural history of disease. Additionally, biofluids were collected from YAC128 mice following intracerebroventricular administration of an antisense oligonucleotide (ASO) targeting the mutant HTT transgene (HTT ASO), at ages both before and after the onset of disease phenotypes. NfL concentrations in plasma and CSF were quantified using ultrasensitive single-molecule array technology.ResultsPlasma and CSF NfL concentrations were significantly elevated in YAC128 compared to WT littermate control mice from 9 months of age. Treatment of YAC128 mice with either 15 or 50 µg HTT ASO resulted in a dose-dependent, allele-selective reduction of mHTT throughout the brain at a 3-month interval, which was sustained with high-dose HTT ASO treatment for up to 6 months. Lowering of brain mHTT prior to the onset of regional brain atrophy and HD-like motor deficits in this model had minimal effect on plasma NfL at either dose, but led to a dose-dependent reduction of CSF NfL. In contrast, initiating mHTT lowering in the brain after the onset of neuropathological and behavioural phenotypes in YAC128 mice resulted in a dose-dependent stabilization of NfL increases in both plasma and CSF.ConclusionsOur data provide evidence that the response of NfL in biofluids is influenced by the magnitude of mHTT lowering in the brain and the timing of intervention, suggesting that NfL may serve as a promising exploratory response biomarker for HD.

Blood biomarkers of neuronal injury and astrocytic reactivity in electroconvulsive therapy.

Despite electroconvulsive therapy (ECT) being recognized as an effective treatment for major depressive episodes (MDE), its application is subject to controversy due to concerns over cognitive side effects. The pathophysiology of these side effects is not well understood. Here, we examined the effects of ECT on blood-based biomarkers of neuronal injury and astrocytic reactivity. Participants with a major depressive episode (N = 99) underwent acute ECT. Blood was sampled just before (T0) and 30 min after (T1) the first ECT session, as well as just before the sixth session (T2; 48-72 h after the fifth session). Age- and sex-matched controls (N = 99) were recruited from the general population. Serum concentrations of neurofilament light chain (NfL), total tau protein, and glial fibrillary acidic protein (GFAP) were measured with ultrasensitive single-molecule array assays. Utilizing generalized least squares regression, we compared baseline (T0) biomarker concentrations against those of our control group, and calculated the shifts in serum biomarker concentrations from baseline to immediately post-first ECT session (T1), and prior to the sixth session (T2). Baseline analysis revealed that serum levels of NfL (p < 0.001) and tau (p = 0.036) were significantly elevated in ECT recipients compared with controls, whereas GFAP levels showed no significant difference. Relative to T0, serum NfL concentration neither changed at T1 (mean change 3.1%, 95%CI -0.5% to 6.7%, p = 0.088) nor at T2 (mean change -3.2%, 95%CI -7.6%to1.5%, p = 0.18). Similarly, no change in total tau was observed (mean change 3.7%, 95%CI -11.6% to 21.7%, p = 0.65). GFAP increased from T0 to T1 (mean change 20.3%, 95%CI 14.6to26.3%, p < 0.001), but not from T0 to T2 (mean change -0.7%, 95%CI -5.8% to 4.8%, p = 0.82). In conclusion, our findings suggest that ECT induces a temporary increase in serum GFAP, possibly reflecting transient astrocytic activation. Importantly, we observed no indicators of neuronal damage or long-term elevation in any assessed biomarker.

Plasma biomarkers in chronic single moderate-severe traumatic brain injury.

Blood biomarkers are an emerging diagnostic and prognostic tool that reflect a range of neuropathological processes following traumatic brain injury (TBI). Their effectiveness in identifying long-term neuropathological processes after TBI is unclear. Studying biomarkers in the chronic phase is vital because elevated levels in TBI might result from distinct neuropathological mechanisms during acute and chronic phases. Here, we examine plasma biomarkers in the chronic period following TBI and their association with amyloid and tau PET, white matter microarchitecture, brain age and cognition. We recruited participants ≥40 years of age who had suffered a single moderate-severe TBI ≥10 years previously between January 2018 and March 2021. We measured plasma biomarkers using single molecule array technology [ubiquitin C-terminal hydrolase L1 (UCH-L1), neurofilament light (NfL), tau, glial fibrillary acidic protein (GFAP) and phosphorylated tau (P-tau181)]; PET tracers to measure amyloid-β (18F-NAV4694) and tau neurofibrillary tangles (18F-MK6240); MRI to assess white matter microstructure and brain age; and the Rey Auditory Verbal Learning Test to measure verbal-episodic memory. A total of 90 post-TBI participants (73% male; mean = 58.2 years) were recruited on average 22 years (range = 10-33 years) post-injury, and 32 non-TBI control participants (66% male; mean = 57.9 years) were recruited. Plasma UCH-L1 levels were 67% higher {exp(b) = 1.67, P = 0.018, adjusted P = 0.044, 95% confidence interval (CI) [10% to 155%], area under the curve = 0.616} and P-tau181 were 27% higher {exp(b) = 1.24, P = 0.011, adjusted P = 0.044, 95% CI [5% to 46%], area under the curve = 0.632} in TBI participants compared with controls. Amyloid and tau PET were not elevated in TBI participants. Higher concentrations of plasma P-tau181, UCH-L1, GFAP and NfL were significantly associated with worse white matter microstructure but not brain age in TBI participants. For TBI participants, poorer verbal-episodic memory was associated with higher concentration of P-tau181 {short delay: b = -2.17, SE = 1.06, P = 0.043, 95% CI [-4.28, -0.07]; long delay: bP-tau = -2.56, SE = 1.08, P = 0.020, 95% CI [-4.71, -0.41]}, tau {immediate memory: bTau = -6.22, SE = 2.47, P = 0.014, 95% CI [-11.14, -1.30]} and UCH-L1 {immediate memory: bUCH-L1 = -2.14, SE = 1.07, P = 0.048, 95% CI [-4.26, -0.01]}, but was not associated with functional outcome. Elevated plasma markers related to neuronal damage and accumulation of phosphorylated tau suggest the presence of ongoing neuropathology in the chronic phase following a single moderate-severe TBI. Plasma biomarkers were associated with measures of microstructural brain disruption on MRI and disordered cognition, further highlighting their utility as potential objective tools to monitor evolving neuropathology post-TBI.

In multiple sclerosis patients a single serum neurofilament light chain (sNFL) dosage is strongly associated with 12months outcome: data from a real-life clinical setting.

Neurofilament light chain (NFL) is a neuroaxonal cytoskeletal protein released into cerebrospinal fluid (CSF) and eventually into blood upon neuronal injury. Its detection in serum (sNFL) makes it a promising marker in multiple sclerosis (MS). To evaluate the usefulness of a single dosage of sNFL in clinical practice. 626 consecutive relapsing-remitting (RR) MS patients treated with disease modifying treatments (DMTs) for at least 12months underwent a single sNFL dosage. 553 patients had NEDA-3 status (no relapses, no disability progression, no new/enlarging or contrast-enhancing lesions on brain magnetic resonance imaging) in the 12months prior blood sampling. sNFL levels were measured by single molecule array (Simoa™). Association between sNFL levels and NEDA-3 status at 12, 24, and 36months was evaluated with logistic regression models adjusted for sex, EDSS, disease duration, and type of DMTs. 469 out of the 553 NEDA-3 patients had normal sNFL level, whereas 42 had elevated level. The two groups did not differ regarding baseline characteristics. A very strong association between elevated sNFL levels and loss of NEDA-3 status within 12months was found, with an odds ratio [OR] of 10.74 (95% CI 4.34-26.57); 15 and 10 patients with normal and elevated sNFL, respectively lost NEDA-3 (p < 0.001). The effect was not detected during the subsequent 13-24 and 25-36months. A single elevated sNFL is strongly associated with NEDA-3 loss within 1year. Elevated sNFL in apparently stable patients suggests an ongoing disease activity below the detection threshold of standard parameters.

Diagnostic value of six plasma biomarkers in progressive supranuclear palsy, multiple system atrophy, and Parkinson’s disease

ObjectivesThis study aimed to evaluate the diagnostic ability of six plasma biomarkers in progressive supranuclear palsy (PSP), multiple system atrophy (MSA), and different subtypes of Parkinson’s disease (PD). MethodsNeurofilament light chain (NfL), phosphorylated tau-181, glial fibrillary acidic protein (GFAP), amyloid-β 42 (Aβ42), and amyloid-β 40 (Aβ40) levels were measured using the single-molecule array (Simoa) technique in a cohort of patients with PSP, MSA, different subtypes of PD, and healthy controls (HCs). ResultsPlasma NfL and GFAP levels were beneficial in discriminating between the disease groups and HCs. Plasma NfL, Aβ42, and Aβ40 could distinguish atypical Parkinsonian syndrome (APS) from PD and its subtypes. GFAP could discriminate APS from tremor dominant PD but could not discriminate APS from postural instability and gait disorder dominant PD. The efficacy of differentiation improved when a combination of multiple plasma biomarkers was applied. ConclusionsIn this study, the plasma biomarkers NfL, GFAP, Aβ42, and Aβ40 exhibited high discriminatory diagnostic value in PD and APS, and could be used as clinically potential diagnostic biomarkers. Plasma biomarker combinations could improve the differential diagnostic efficacy in the comparisons of PD and APS.

P-tau217 and other blood biomarkers of dementia: variation with time of day

Plasma biomarkers of dementia, including phosphorylated tau (p-tau217), offer promise as tools for diagnosis, stratification for clinical trials, monitoring disease progression, and assessing the success of interventions in those living with Alzheimer’s disease. However, currently, it is unknown whether these dementia biomarker levels vary with the time of day, which could have implications for their clinical value. In two protocols, we studied 38 participants (70.8 ± 7.6 years; mean ± SD) in a 27-h laboratory protocol with either two samples taken 12 h apart or 3-hourly blood sampling for 24 h in the presence of a sleep–wake cycle. The study population comprised people living with mild Alzheimer’s disease (PLWA, n = 8), partners/caregivers of PLWA (n = 6) and cognitively intact older adults (n = 24). Single-molecule array technology was used to measure phosphorylated tau (p-tau217) (ALZpath), amyloid-beta 40 (Aβ40), amyloid-beta 42 (Aβ42), glial fibrillary acidic protein, and neurofilament light (NfL) (Neuro 4-Plex E). Analysis with a linear mixed model (SAS, PROC MIXED) revealed a significant effect of time of day for p-tau217, Aβ40, Aβ42, and NfL, and a significant effect of participant group for p-tau217. For p-tau217, the lowest levels were observed in the morning upon waking and the highest values in the afternoon/early evening. The magnitude of the diurnal variation for p-tau217 was similar to the reported increase in p-tau217 over one year in amyloid-β-positive mild cognitively impaired people. Currently, the factors driving this diurnal variation are unknown and could be related to sleep, circadian mechanisms, activity, posture, or meals. Overall, this work implies that the time of day of sample collection may be relevant in the implementation and interpretation of plasma biomarkers in dementia research and care.

Single molecule measurements of microRNAs in the serum of patients with pulmonary tuberculosis.

microRNAs (miRNAs) were recognized as a promising source of diagnostic biomarker. Herein, we aim to evaluate the performance of an ultrasensitive method for detecting serum miRNAs using single molecule arrays (Simoa). In this study, candidate miRNAs were trained and tested by RT-qPCR in a cohort of PTB patients. Besides that, ultrasensitive serum miRNA detection were developed using the Single Molecule Array (Simoa) platform. In this ultra-sensitive sandwich assay, two target-specific LNA-modified oligonucleotide probes can be simply designed to be complementary to the half-sequence of the target miRNA respectively. We characterized its analytical performance and measured miRNAs in the serum of patients with pulmonary tuberculosis and healthy individuals. We identified a five signature including three upregulated (miR-101, miR-196b, miR-29a) and two downregulated (miR-320b, miR-99b) miRNAs for distinguishing PTB patients from HCs, and validated in our 104 PTB patients. On the basis of Simoa technology, we developed a novel, fully automated digital analyser, which can be used to directly detect miRNAs in serum samples without pre-amplification. We successfully detected miRNAs at femtomolar concentrations (with limits of detection [LODs] ranging from 0.449 to 1.889 fM). Simoa-determined serum miR-29a and miR-99b concentrations in patients with PTB ((median 6.06 fM [range 0.00-75.22]), (median 2.53 fM [range 0.00-24.95]), respectively) were significantly higher than those in HCs ((median 2.42 fM [range 0.00-28.64]) (P < 0.05), (median 0.54 fM [range 0.00-9.12] (P < 0.0001), respectively). Serum levels of miR-320b were significantly reduced in patients with PTB (median 2.11 fM [range 0.00-39.30]) compared with those in the HCs (median 4.76 fM [range 0.00-25.10]) (P < 0.001). A combination of three miRNAs (miR-29a, miR-99b, and miR-320b) exhibited a good capacity to distinguish PTB from HCs, with an area under the curve (AUC) of 0.818 (sensitivity: 83.9%; specificity: 79.7%). This study benchmarks the role of Simoa as a promising tool for monitoring miRNAs in serum and offers considerable potential as a non-invasive platform for the early diagnosis of PTB.

An Ultrasensitive Molecularly Imprinted Point-Of-Care Electrochemical Sensor for Detection of Glial Fibrillary Acidic Protein.

Accurate assessment of neurological disease through monitoring of biomarkers has been made possible using the antibody-based assays. But these assays suffer from expensive development of antibody probes, reliance on complicated equipments, and high maintenance costs. Here, using the novel reduced graphene oxide/polydopamine-molecularly imprinted polymer (rGO/PDA-MIP) as the probe layer, a robust electrochemical sensing platform is demonstrated for the ultrasensitive detection of glial fibrillary acidic protein (GFAP), a biomarker for a range of neurological diseases. A miniaturized integrated circuit readout system is developed to interface with the electrochemical sensor, which empowers it with the potential to be used as a point-of-care (POC) diagnostic tool in primary clinical settings. This innovative platform demonstrated good sensitivity, selectivity, and stability, with imprinting factor evaluated as 2.8. A record low limit-of-detection (LoD) is down to 754.5 agmL-1, with a wide dynamic range from 1 to 106 fgmL-1. The sensing platform is validated through the analysis of GFAP in clinical plasma samples, yielding a recovery rate range of 81.6-108.8% compared to Single Molecule Array (Simoa). This cost-effective and user-friendly sensing platform holds the potential to be deployed in primary and resource-limited clinical settings for the assessment of neurological diseases.

Effect of blood collection tube containing protease inhibitors on the pre-analytical stability of Alzheimer's disease plasma biomarkers.

The reliability of plasma biomarkers of Alzheimer's disease (AD) can be compromised by protease-induced degradation. This can limit the feasibility of conducting plasma biomarker studies in environments that lack the capacity for immediate processing and appropriate storage of blood samples. We hypothesized that blood collection tube supplementation with protease inhibitors can improve the stability of plasma biomarkers at room temperatures (RT). In this study, we conducted a comparative analysis of blood biomarker stability in traditional ethylenediaminetetraacetic acid (EDTA) tubes versus BD™ P100 collection tubes, the latter being coated with a protease inhibitor cocktail. The stability of six plasma AD biomarkers was evaluated over time under RT conditions. We evaluated three experimental approaches. In Approach 1, pooled plasma samples underwent storage at RT for up to 96 h. In Approach 2, plasma samples isolated upfront from whole blood collected into EDTA or P100 tubes were stored at RT for 0 h or 24 h before biomarker measurements. In Approach 3, whole blood samples were collected into paired EDTA and P100 tubes, followed by storage at RT for 0 h or 24 h before isolating the plasma for analyses. Biomarkers were measured with Single Molecule Array (Simoa) and immunoprecipitation-mass spectrometry (IP-MS) assays. Both the IP-MS and Simoa methods revealed that the use of P100 tubes significantly improves the stability of Aβ42 and Aβ40 across all approaches. However, the Aβ42/Aβ40 ratio levels were significantly stabilized only in the IP-MS assay in Approach 3. No significant differences were observed in the levels of plasma p-tau181, GFAP, and NfL for samples collected using either tube type in any of the approaches. Supplementation of blood collection tubes with protease inhibitors could reduce the protease-induced degradation of plasma Aβ42 and Aβ40, and the Aβ42/40 ratio for the IP-MS assay. These findings have crucial implications for preanalytical procedures, particularly in resource-limited settings.

Neurofilament Light Chain Serum Levels Mirror Age and Disability in Secondary Progressive Multiple Sclerosis: A Cross-Sectional Study.

To assess neurofilament light chain serum (sNfL) levels in patients with secondary progressive multiple sclerosis (SP-MS). Using a single molecule array, we analyzed sNfL levels in a cross-sectional cohort study of 153 patients with SP-MS hospitalized for rehabilitation in a clinic specialized in the care for patients with multiple sclerosis (MS). In addition, we investigated the correlation of disease activity with sNfL levels in 36 patients with relapsing-remitting MS (RR-MS). Mean sNfL levels in patients with SP-MS were consistently elevated when compared with age-matched controls and patients with RR-MS. In SP-MS, age dependency of sNfL levels was pronounced, whereas patients with RR-MS younger than 41 years without recent disease activity were not distinguishable from age-matched healthy controls. In a multivariate analysis, clinical disability was a risk factor for elevated sNfL levels in SP-MS, whereas no correlation with comorbidities, such as cardiovascular disease, diabetes mellitus, smoking status, or vitamin D serum levels, could be detected. These findings highlight that measurement of sNfL levels represents a useful tool to assess the extent of neuroaxonal damage as a surrogate for clinical progression in patients with SP-MS, when age and disease activity as major confounders are taken into account.