Cerebrospinal fluid/serum albumin quotient (Q-Alb) is not increased in Alzheimer's disease compared to neurological disease controls: a retrospective study on 276 patients.

BACKGROUND: The cerebrospinal fluid (CSF)/serum albumin quotient (Q-Alb) is a marker of the blood-CSF barrier (BCSFB) and possibly of the blood-brain barrier (BBB). The latter is known to be altered in Alzheimer's disease (AD) based on neuropathological and neuroimaging studies. Following investigations performed on clinically diagnosed cohorts, we aimed at comparing Q-Alb in cognitively impaired patients with neurochemical demonstration of AD pathophysiology and neurological disease controls (NDCs). METHODS: We evaluated N = 144 AD patients (MCI, N = 43; AD dementia - ADD, N = 101) and N = 132 NDCs. AD patients were all A + according to the A/T/N framework and were neurochemically classified based on T and N parameters. RESULTS: Q-Alb did not significantly differ between AD patients and NDCs. Moreover, it was not associated with disease stage (MCI vs. ADD), MMSE score, or CSF AD biomarkers. DISCUSSION: Our study indicates that BCSFB dysfunction is not a specific feature of AD. When interpreting Q-Alb as a marker of the BBB, the lack of difference from NDCs might be due to BBB dysfunction widely occurring in other neurological, non-degenerative, conditions or - more probably - to low sensitivity of this biochemical parameter towards subtle BBB alterations causing leakage of molecules smaller than albumin. Furthermore, Q-Alb is not associated with the degree of global cognitive deterioration in AD, nor with CSF AD neurochemical biomarkers.

Lower semantic fluency scores and a phonemic-over-semantic advantage predict abnormal CSF P-tau181 levels in Aß + patients within the Alzheimer's disease clinical spectrum.

BACKGROUND: The present study aimed to determine whether patients with mild cognitive impairment (MCI) and dementia due to Alzheimer's disease (AD), semantic verbal fluency (SVF), and the semantic-phonemic discrepancy (SPD) could predict abnormal cerebrospinal fluid (CSF) phosphorylated tau (P-tau181) and total tau (T-tau) levels. METHODS: Phonemic verbal fluency (PVF) and SVF scores of N = 116 Aß-positive patients with either MCI due to AD (N = 39) or probable AD dementia (ADD; N = 77) were retrospectively collected. The SPD was computed by subtracting PVF scores from SVF ones (positive and negative values corresponding to a semantic and phonemic advantage, respectively). Patients were cognitively phenotyped via a thorough test battery and profiled according to the amyloidosis/tauopathy/neurodegeneration (ATN) framework via CSF analyses. Two separate sets of logistic regressions were run to predict normal vs. abnormal P-tau181 and T-tau levels by encompassing as predictors SVF + PVF and SPD and covarying for demographic, disease-related features, and cognitive profile. RESULTS: Lower SVF, but not PVF, scores, as well as a greater phonemic advantage (i.e., negative SPD values), predicted abnormal CSF P-tau181 levels (p ≤ .01). Moreover, lower SVF scores were selectively predictive of abnormal CSF T-tau levels too (p = .016), while the SPD was not. DISCUSSION: SVF and the SPD are able to predict tauopathy across the AD spectrum, thus supporting their status of valid, and sufficiently specific, cognitive markers of AD.

A + T ± status across MCI and dementia due to AD: a clinic-based, retrospective study.

BACKGROUND: This study aimed at comparing, within the 2018 NIA-AA amyloidosis/tauopathy/neurodegeneration (ATN) framework, the distribution of T ± profiles across A + patients with MCI and dementia in a retrospective, single-center, clinic-based cohort. METHODS: We retrospectively collected data on N = 168 A + patients with either MCI due to AD (N = 50) or probable AD dementia (ADD; N = 118). ATN status was assigned, according to the 2018 NIA-AA framework, based on cerebrospinal fluid (CSF) biomarker concentrations. A χ2-test for independent samples was run to compare the distribution of A + T + vs. A + T- profiles, regardless of N status, across MCI and dementia patients. RESULTS: The most represented ATN profile in both groups was A + T + N + (MCI: 54%; dementia: 70.3%); 3.4% of dementia patients and none within the MCI cohort presented with an A + T-N + profile. When grouping ATN profiles solely based on A and T dimensions, the prevalence of A + T + was of 76.3% and 66% in dementia and MCI patients, respectively. No association between clinical diagnoses (i.e., MCI vs. dementia status) and AT profiles (i.e., A + T + vs. A + T-) was detected. DISCUSSION: The distribution of A + T + vs. A + T- does not differ between MCI and ADD, with A + T + profiles being predominant in both clinical categories. This does not support the common notion of A + T- profiles being relatively more prevalent in MCI patients, as indexing an earlier and/or less severe disease. Hence, caution should be exerted in attributing a case of MCI to prodromal AD solely based on A-positivity in the presence of a T-negative profile.

Progressive motor neuron syndromes with single CNS lesions and CSF oligoclonal bands: never forget solitary sclerosis!

We describe 3 cases of solitary sclerosis (SS), a rare condition characterized by a single inflammatory demyelinating lesion in the white matter of the brain or spinal cord. All patients had progressive limb motor impairment (patient 1, 66-year-old female: left spastic hemiparesis; patient 2, 39-year-old male: right spastic hemiparesis; patient 3, 42-year-old female: proximally predominant left upper limb weakness with amyotrophy and fasciculations). In all patients, MRI disclosed a single small T2-hyperintense demyelinating lesion: in the right anterior paramedian upper medulla, in the median-left paramedian anterior lower medulla, and in the left paramedian anterior cervical spinal cord at C4 level, respectively. In patients 1 and 2, transcranial magnetic stimulation (TMS) demonstrated altered motor evoked potentials (MEPs) and increased central motor conduction time (CMCT) in the affected limbs; in patient 3, needle EMG revealed chronic neurogenic changes in C5-C7 muscles of left upper limb. Patients 1 and 2 had normal brain 18F-fluorodeoxyglucose positron emission tomography (18F-FDG PET). CSF analysis demonstrated IgG oligoclonal bands in all patients. In patients 2 and 3, levels of neurofilament light chain (NFL) in CSF and serum, respectively, were within normal limits. The three cases were consistent with the diagnosis of SS. Notably, while the first two cases mimicked Mills' syndrome (the hemiparetic variant of primary lateral sclerosis, PLS), the third one was rather reminiscent of amyotrophic lateral sclerosis (ALS). This suggests including SS in the differential diagnosis not only of PLS, but also of ALS. We also report the first quantification of NFL levels in SS.

CSF Aß40 and P-Tau181 Might Differentiate Atypical from Typical AD Phenotypes: Preliminary Evidence.

OBJECTIVES: This study aimed at testing whether CSF levels of amyloid ß42 (Aß42), Aß40, total tau, and phosphorylated tau (P-tau181) individually contribute to the identification of atypical phenotypes among a retrospective cohort of probable Alzheimer's disease (AD) patients diagnosed by means of the ratio between Aß42 and Aß40 (Aß42/40). METHODS: The retrospective study cohort comprised 50 probable AD patients diagnosed by means of the ratio between Aß42 and Aß40 (Aß42/40) and for whom total tau and P-tau181 values were also available. Patients were clinically classified as typical, amnestic-predominant AD (N = 39; 16 males; mean age: 73.4 ± 7.6 years; mean disease duration: 27.4 ± 24.7 months), or atypical phenotypes (N = 11; 6 males; mean age: 70.2 ± 6.5 years; mean disease duration: 35.5 ± 24.9 months) - i.e., posterior cortical atrophy (N = 4), logopenic-variant primary progressive aphasia (N = 4), and behavioural variant AD (N = 3). A logistic regression allowed predicting the occurrence of atypical versus typical phenotypes based on age, sex, and Aß42, Aß40, total tau, and P-tau181 levels. RESULTS: Atypical and typical AD patients were comparable for Aß42/40 values. Only Aß40 and P-tau181 levels positively (p = 0.015) and negatively (p = 0.019) predicted the occurrence of atypical AD phenotypes, respectively. Classification precision was of 86%, yielding excellent specificity (94.9%) but poor sensitivity (54.5%). CONCLUSIONS: The present study delivers promising, albeit preliminary, evidence on the utility of Aß40 and P-tau181 CSF biomarkers in differentiating atypical from typical Aß42/40-confirmed AD phenotypes, prompting further research and confirmation on larger cohorts.

The Frontal Assessment Battery (FAB) effectively discriminates between MCI and dementia within the clinical spectrum of neurochemically confirmed Alzheimer's disease.

Background: This study aimed at testing the ability of the frontal assessment battery (FAB) to differentiate between patients with mild cognitive impairment (MCI) and dementia due to Alzheimer's disease (AD), as well as comparing its discriminative power to that of the Mini-Mental State Examination (MMSE). Methods: The present retrospective cohort included N = 107 Aß-positive patients diagnosed with either MCI due to AD (N = 40) or probable AD dementia (ADD; N = 67). A two-step multiple logistic regression (MLR) was run to predict an MCI vs. ADD diagnosis based on FAB scores. Within the baseline step, demographics, disease duration, MMSE scores, and information on cognitive phenotypes were entered, with the FAB being added within the second step. Receiver-operating characteristics analyses were also run to derive intrinsic and post-test diagnostics. Results: Within the baseline MLR step, only lower MMSE scores predicted the occurrence of ADD; by adding the FAB, which likewise was able to discriminate between MCI and ADD (p = 0.016), a significant increase in model fit was detected (p = 0.007). The diagnostic efficiency of the FAB (AUC = 0.85) was comparable (p = 0.583) to that of the MMSE (AUC = 0.82), also yielding good intrinsic and post-test diagnostics, which were comparable to those of the MMSE. Discussion: The FAB is a diagnostically sound screener to discriminate between MCI and ADD, independently of patients' overall cognitive profile. In doing so, the FAB is comparable to the MMSE, and the complementation of the latter with the former is advisable in order to increase the accuracy in differentiating between MCI and ADD within screening sessions.