Impact of Monetary Uncertainty and Economic Uncertainty on Money Demand in Africa

This dissertation investigates the role that economic uncertainties and monetary uncertainties play in the money demand function for 21 African countries. The Auto-regressive Distributive Lag (ARDL) and F-test approach are employed using quarterly time series data covering the period from 1971I-2012IV. In particular, this paper aims to demonstrate both short and long-run relationships between the dependent variables, Real Money Aggregate (M2), and the independent variables that include real income (Y), inflation rate nominal effective exchange rate (NEX), output uncertainty (VY), and monetary uncertainty (VM). We apply GARCH methodology to approximate the uncertainty measures. The empirical results show that except for Egypt, monetary VM and VY have significant short-run as well as long-run effects on money demand in all the countries, with some variables carrying negative or positive coefficient. We find that the coefficients of Y in all the countries is positive while that of and NEX are negative, implying depreciation of domestic currency decreases demand for money. The results also indicate that CUSUM and CUSUMSQ test are stable, thus M2 is stable in all the countries except Egyp

Neurofilament light chain and C-reactive protein explored as predictors of survival in amyotrophic lateral sclerosis

status: accepte

Phosphorylated neurofilament heavy chains in blood as biomarker for ALS?

status: publishe

Serum neurofilament heavy chains as early marker of motor neuron degeneration

OBJECTIVE: To determine whether serum phosphorylated neurofilament heavy chain (pNfH) levels are elevated before patients were diagnosed with sporadic or familial ALS, and what the prognostic value of these prediagnostic pNfH levels is. METHODS: pNfH was measured via ELISA in leftovers of serum drawn for routine purposes before the time of diagnosis. These prediagnostic samples were retrieved from the biobank of the University Hospitals Leuven for 95 patients who in follow-up received a diagnosis of ALS. Additionally, 35 patients with mild cognitive impairment (MCI) and 85 healthy controls (HC) were included in this retrospective study. RESULTS: The median disease duration (range) from onset to prediagnostic sampling and from onset to diagnosis was 6.5 (-71.9-36.1) and 9.9 (2.0-40.7) months, respectively. Fifty-eight percent of the prediagnostic samples had serum pNfH levels above the 95th percentile of pNfH levels measured in HC. Serum pNfH levels (median (range)) were elevated up to 18 months before the diagnosis of ALS (91 pg/mL (6-342 pg/mL)) in comparison with HC (30 pg/mL (6-146 pg/mL); P = 0.05), and increased during the prediagnostic stage, which was not observed in patients with MCI. Furthermore, prediagnostic pNfH levels were a univariate predictor of survival in ALS (hazard ratio (95% CI): 2.16 (1.20-3.87); P = 0.01). INTERPRETATION: Our findings demonstrate that serum pNfH is elevated well before the time of diagnosis in mainly sporadic ALS patients. These results encourage to prospectively explore if pNfH has an added value to shorten the diagnostic delay in ALS.status: Published onlin

Automation on an Open-Access Platform of Alzheimer's Disease Biomarker Immunoassays

The lack of (inter-)laboratory standardization has hampered the application of universal cutoff values for Alzheimer's disease (AD) cerebrospinal fluid (CSF) biomarkers and their transfer to general clinical practice. The automation of the AD biomarker immunoassays is suggested to generate more robust results than using manual testing. Open-access platforms will facilitate the integration of automation for novel biomarkers, allowing the introduction of the protein profiling concept. A feasibility study was performed on an automated open-access platform of the commercial immunoassays for the 42-amino-acid isoform of amyloid-β (Aβ1-42), Aβ1-40, and total tau in CSF. Automated Aβ1-42, Aβ1-40, and tau immunoassays were performed within predefined acceptance criteria for bias and imprecision. Similar accuracy was obtained for ready-to-use calibrators as for reconstituted lyophilized kit calibrators. When compared with the addition of a standard curve in each test run, the use of a master calibrator curve, determined before and applied to each batch analysis as the standard curve, yielded an acceptable overall bias of -2.6% and -0.9% for Aβ1-42 and Aβ1-40, respectively, with an imprecision profile of 6.2% and 8.4%, respectively. Our findings show that transfer of commercial manual immunoassays to fully automated open-access platforms is feasible, as it performs according to universal acceptance criteria.status: publishe