Future perspective and clinical applicability of the combined use of plasma phosphorylated tau 181 and neurofilament light chain in Subjective Cognitive Decline and Mild Cognitive Impairment.

We aimed to assess diagnostic accuracy of plasma p-tau181 and NfL separately and in combination in discriminating Subjective Cognitive Decline (SCD) and Mild Cognitive Impairment (MCI) patients carrying Alzheimer's Disease (AD) pathology from non-carriers; to propose a flowchart for the interpretation of the results of plasma p-tau181 and NfL. We included 43 SCD, 41 MCI and 21 AD-demented (AD-d) patients, who underwent plasma p-tau181 and NfL analysis. Twenty-eight SCD, 41 MCI and 21 AD-d patients underwent CSF biomarkers analysis (Aß1-42, Aß1-42/1-40, p-tau, t-tau) and were classified as carriers of AD pathology (AP+) it they were A+/T+ , or non-carriers (AP-) when they were A-, A+/T-/N-, or A+/T-/N+ according to the A/T(N) system. Plasma p-tau181 and NfL separately showed a good accuracy (AUC = 0.88), while the combined model (NfL + p-tau181) showed an excellent accuracy (AUC = 0.92) in discriminating AP+ from AP- patients. Plasma p-tau181 and NfL results were moderately concordant (Coehn's k = 0.50, p < 0.001). Based on a logistic regression model, we estimated the risk of AD pathology considering the two biomarkers: 10.91% if both p-tau181 and NfL were negative; 41.10 and 76.49% if only one biomarker was positive (respectively p-tau18 and NfL); 94.88% if both p-tau181 and NfL were positive. Considering the moderate concordance and the risk of presenting an underlying AD pathology according to the positivity of plasma p-tau181 and NfL, we proposed a flow chart to guide the combined use of plasma p-tau181 and NfL and the interpretation of biomarker results to detect AD pathology.

Data-driven subtypes of mixed semantic-logopenic primary progressive aphasia: Linguistic features, biomarker profiles and brain metabolic patterns.

Mixed primary progressive aphasia (mPPA) accounts for a substantial proportion of primary progressive aphasia (PPA) cases. However, the lack of a standardised definition of this condition has resulted in misclassification of PPA cases. In this study, we enrolled 55 patients diagnosed with PPA, comprising 12 semantic variant (svPPA), 23 logopenic variant (lvPPA), and 20 mPPA cases with linguistic characteristics consistent with both svPPA and lvPPA (s/lvPPA). All patients underwent language assessments, evaluation of Alzheimer's disease biomarkers (via cerebrospinal fluid analysis or Amyloid-PET), and 18F-FDG-PET brain scans. An agglomerative hierarchical clustering (AHC) analysis based on linguistic characteristics revealed two distinct clusters within the s/lvPPA group: cluster k1 (n = 10) displayed an AD-like biomarker profile, with lower levels of Aß42 and Aß42/Aß40 ratio, along with higher levels of t-tau and p-tau compared to cluster k2 (n = 10). Interestingly, k1 exhibited linguistic features that were similar to those of svPPA. Both clusters exhibited extensive temporoparietal hypometabolism. These findings support the hypothesis that a subgroup of s/lvPPA may represent a clinical manifestation of AD-related PPA.

Disentangling empathy impairment along Alzheimer's disease continuum: From subjective cognitive decline to Alzheimer's dementia.

Little is known about empathy changes from the early stages of Alzheimer's Disease (AD) continuum. The aim of this study is to investigate empathy across AD spectrum from Subjective Cognitive Decline (SCD) to Mild Cognitive Impairment (MCI) and AD dementia (AD-d). Forty-five SCD, 83 MCI and 80 AD-d patients were included. Empathy was assessed by Interpersonal Reactivity Index (IRI) (Perspective Taking - PT, Fantasy - FT, Empathic Concern - EC, and Personal Distress - PD), rated by caregivers before (T0) and after (T1) cognitive symptoms' onset. IRI was also administered to SCD patients to have a self-reported empathy evaluation. Facial emotion recognition was assessed by Ekman-60 Faces Test. Twenty-two SCD, 54 MCI and 62 AD-d patients underwent CSF biomarkers analysis and were classified as carriers of AD pathology (AP+) when they were A+/T+ (regardless of N), or non-carriers (AP-) when they were A- (regardless of T and N), or A+/T-/N-, or A+/T-/N+ according to the A/T(N) system. Cerebral FDG-PET SPM analysis was used to explore neural correlates underlying empathy deficits. PD scores significantly increased from T0 to T1 in SCD, MCI and AD-d (p < .001), while PT scores decreased in MCI and in AD-d (p < .001). SCD AP+ showed a greater increase in PD scores over time (ΔPD T0 - T1) than SCD AP- (p < .001). SCD self-reported PT scores were lower than those of general Italian population (14.94 ± 3.94, 95% C.I. [13.68-16.20] vs 17.70 ± 4.36, 95% C.I. [17.30-18.10]). In AD continuum (SCD AP+, MCI AP+, AD-d), a positive correlation was detected between PT-T1 and brain metabolism in left posterior cingulate gyrus, precuneus and right frontal gyri; a negative correlation was found between ΔPT and brain metabolism in bilateral posterior cingulate gyri. PT may be subtly involved since the preclinical phase of AD. Changes over time of PD are influenced by the underlying Alzheimer's pathology and could potentially serve as an early AD neuropsychological marker.

The role of plasma neurofilament light chain and glial fibrillary acidic protein in subjective cognitive decline and mild cognitive impairment.

INTRODUCTION AND AIM: NfL and GFAP are promising blood-based biomarkers for Alzheimer's disease. However, few studies have explored plasma GFAP in the prodromal and preclinical stages of AD. In our cross-sectional study, our aim is to investigate the role of these biomarkers in the earliest stages of AD. MATERIALS AND METHODS: We enrolled 40 patients (11 SCD, 21 MCI, 8 AD dementia). All patients underwent neurological and neuropsychological examinations, analysis of CSF biomarkers (Aß42, Aß42/Aß40, p-tau, t-tau), Apolipoprotein E (APOE) genotype analysis and measurement of plasma GFAP and NfL concentrations. Patients were categorized according to the ATN system as follows: normal AD biomarkers (NB), carriers of non-Alzheimer's pathology (non-AD), prodromal AD, or AD with dementia (AD-D). RESULTS: GFAP was lower in NB compared to prodromal AD (p = 0.003, d = 1.463) and AD-D (p = 0.002, d = 1.695). NfL was lower in NB patients than in AD-D (p = 0.011, d = 1.474). NfL demonstrated fair accuracy (AUC = 0.718) in differentiating between NB and prodromal AD, with a cut-off value of 11.65 pg/mL. GFAP showed excellent accuracy in differentiating NB from prodromal AD (AUC = 0.901) with a cut-off level of 198.13 pg/mL. CONCLUSIONS: GFAP exhibited excellent accuracy in distinguishing patients with normal CSF biomarkers from those with prodromal AD. Our results support the use of this peripheral biomarker for detecting AD in patients with subjective and objective cognitive decline.

Plasma neurofilament light chain predicts Alzheimer's disease in patients with subjective cognitive decline and mild cognitive impairment: A cross-sectional and longitudinal study.

BACKGROUND AND PURPOSE: We aimed to evaluate the accuracy of plasma neurofilament light chain (NfL) in predicting Alzheimer's disease (AD) and the progression of cognitive decline in patients with subjective cognitive decline (SCD) and mild cognitive impairment (MCI). METHODS: This longitudinal cohort study involved 140 patients (45 with SCD, 73 with MCI, and 22 with AD dementia [AD-D]) who underwent plasma NfL and AD biomarker assessments (cerebrospinal fluid, amyloid positron emission tomography [PET], and 18 F-fluorodeoxyglucose-PET) at baseline. The patients were rated according to the amyloid/tau/neurodegeneration (A/T/N) system and followed up for a mean time of 2.72 ± 0.95 years to detect progression from SCD to MCI and from MCI to AD. Forty-eight patients (19 SCD, 29 MCI) also underwent plasma NfL measurements 2 years after baseline. RESULTS: At baseline, plasma NfL detected patients with biomarker profiles consistent with AD (A+/T+/N+ or A+/T+/N-) with high accuracy (area under the curve [AUC] 0.82). We identified cut-off values of 19.45 pg/mL for SCD and 20.45 pg/mL for MCI. During follow-up, nine SCD patients progressed to MCI (progressive SCD [p-SCD]), and 14 MCI patients developed AD dementia (progressive MCI [p-MCI]). The previously identified cut-off values provided good accuracy in identifying p-SCD (80% [95% confidence interval 65.69: 94.31]). The rate of NfL change was higher in p-MCI (3.52 ± 4.06 pg/mL) compared to non-progressive SCD (0.81 ± 1.25 pg/mL) and non-progressive MCI (-0.13 ± 3.24 pg/mL) patients. A rate of change lower than 1.64 pg/mL per year accurately excluded progression from MCI to AD (AUC 0.954). CONCLUSION: Plasma NfL concentration and change over time may be a reliable, non-invasive tool to detect AD and the progression of cognitive decline at the earliest stages of the disease.

Plasma p-tau181 as a promising non-invasive biomarker of Alzheimer's Disease pathology in Subjective Cognitive Decline and Mild Cognitive Impairment.

INTRODUCTION: The aim of this study is to investigate the role of plasma phosphorylated tau (p-tau) 181 as a potential biomarker for Alzheimer's Disease (AD) pathology in the early stages of the disease, as a valuable marker for tauopathy. MATERIALS AND METHODS: Thirty-three Subjective Cognitive Decline (SCD), 32 Mild Cognitive Impairment (MCI) and 14 AD demented (AD-d) patients underwent plasma p-tau181 analysis with SiMoA assay. Twenty-six SCD, 32 MCI and 14 AD-d patients also underwent CSF biomarkers analysis (Aß1-42, Aß1-42/1-40, p-tau, t-tau) and were classified as carriers of AD pathology (AP+) when A+ was associated with T+ (regardless of N), or non-carriers (AP-) when they were A- (regardless of T and N), or A+/T-/N-, or A+/T-/N+ according to the A/T(N) system. RESULTS: Plasma p-tau181 levels were higher in SCD AP+ than in SCD AP- (2.85 ± 0.53 vs 1.73 ± 0.64, p < 0.001), and in MCI AP+ than in MCI AP- (4.03 ± 1.07 vs 2.04 ± 0.87, p < 0.001). In a multivariate linear regression analysis, AP status was the only variable that influenced plasma p-tau181 (B = 1.670 [95% CI 1.097:2.244], p < 0.001). Plasma p-tau181 was highly accurate for discriminating between AP+ and AP- patients (AUC = 0.910). We identified a cut-off level of 2.69 pg/mL to distinguish between AP+ and AP- (sensibility 0.86, specificity 0.82, PPV 75.00% NPV 90.32%). CONCLUSIONS: Plasma p-tau181 levels were influenced by the presence of underlying AD pathology, independently from the cognitive status and were highly accurate in differentiating SCD-MCI patients who were carriers of AD pathology from non-carriers. Plasma p-tau181 might be a promising non-invasive biomarker of AD pathology at a very early stage.

PRedicting the EVolution of SubjectIvE Cognitive Decline to Alzheimer's Disease With machine learning: the PREVIEW study protocol.

BACKGROUND: As disease-modifying therapies (DMTs) for Alzheimer's disease (AD) are becoming a reality, there is an urgent need to select cost-effective tools that can accurately identify patients in the earliest stages of the disease. Subjective Cognitive Decline (SCD) is a condition in which individuals complain of cognitive decline with normal performances on neuropsychological evaluation. Many studies demonstrated a higher prevalence of Alzheimer's pathology in patients diagnosed with SCD as compared to the general population. Consequently, SCD was suggested as an early symptomatic phase of AD. We will describe the study protocol of a prospective cohort study (PREVIEW) that aim to identify features derived from easily accessible, cost-effective and non-invasive assessment to accurately detect SCD patients who will progress to AD dementia. METHODS: We will include patients who self-referred to our memory clinic and are diagnosed with SCD. Participants will undergo: clinical, neurologic and neuropsychological examination, estimation of cognitive reserve and depression, evaluation of personality traits, APOE and BDNF genotyping, electroencephalography and event-related potential recording, lumbar puncture for measurement of Aß42, t-tau, and p-tau concentration and Aß42/Aß40 ratio. Recruited patients will have follow-up neuropsychological examinations every two years. Collected data will be used to train a machine learning algorithm to define the risk of being carriers of AD and progress to dementia in patients with SCD. DISCUSSION: This is the first study to investigate the application of machine learning to predict AD in patients with SCD. Since all the features we will consider can be derived from non-invasive and easily accessible assessments, our expected results may provide evidence for defining cost-effective and globally scalable tools to estimate the risk of AD and address the needs of patients with memory complaints. In the era of DMTs, this will have crucial implications for the early identification of patients suitable for treatment in the initial stages of AD. TRIAL REGISTRATION NUMBER (TRN): NCT05569083.

Degradation of EEG microstates patterns in subjective cognitive decline and mild cognitive impairment: Early biomarkers along the Alzheimer's Disease continuum?

Alzheimer's disease (AD) pathological changes may begin up to decades earlier than the appearance of the first symptoms of cognitive decline. Subjective cognitive decline (SCD) could be the first pre-clinical sign of possible AD, which might be followed by mild cognitive impairment (MCI), the initial stage of clinical cognitive decline. However, the neural correlates of these prodromic stages are not completely clear yet. Recent studies suggest that EEG analysis tools characterizing the cortical activity as a whole, such as microstates and cortical regions connectivity, might support a characterization of SCD and MCI conditions. Here we test this approach by performing a broad set of analyses to identify the prominent EEG markers differentiating SCD (n = 57), MCI (n = 46) and healthy control subjects (HC, n = 19). We found that the salient differences were in the temporal structure of the microstates patterns, with MCI being associated with less complex sequences due to the altered transition probability, frequency and duration of canonic microstate C. Spectral content of EEG, network connectivity, and spatial arrangement of microstates were instead largely similar in the three groups. Interestingly, comparing properties of EEG microstates in different cerebrospinal fluid (CSF) biomarkers profiles, we found that canonic microstate C displayed significant differences in topography in AD-like profile. These results show that the progression of dementia might be associated with a degradation of the cortical organization captured by microstates analysis, and that this leads to altered transitions between cortical states. Overall, our approach paves the way for the use of non-invasive EEG recordings in the identification of possible biomarkers of progression to AD from its prodromal states.

Alzheimer's Disease CSF Biomarker Profiles in Idiopathic Normal Pressure Hydrocephalus.

Patients with idiopathic normal pressure hydrocephalus (iNPH) frequently show pathologic CSF Aß42 levels, comparable with Alzheimer's Disease (AD). Nevertheless, the clinical meaning of these findings has not been fully explained. We aimed to assess the role of AD CSF biomarkers (Aß42, Aß42/Aß40, p-tau, t-tau) in iNPH. To this purpose, we enrolled 44 patients diagnosed with iNPH and 101 with AD. All the patients underwent CSF sampling. We compared CSF biomarker levels in iNPH and AD: Aß42 levels were not different between iNPH and AD, while Aß42/Aß40, p-tau, and t-tau were significantly different and showed excellent accuracy in distinguishing iNPH and AD. A multiple logistic regression analysis showed that Aß42/Aß40 was the variable that most contributed to differentiating the two groups. Furthermore, iNPH patients with positive Aß42/Aß40 had higher p-tau and t-tau than iNPH patients with negative Aß42/Aß40. Those iNPH patients who showed cognitive impairment had lower Aß42/Aß40 and higher p-tau than patients without cognitive impairment. We concluded that positive CSF Aß42 with negative Aß42/Aß40, p-tau, and t-tau is a typical CSF profile of iNPH. On the contrary, positive Aß42/Aß40 in iNPH patients, especially when associated with positive p-tau, may lead to suspicion of a coexistent AD pathology.

CAG Repeats Within the Non-pathological Range in the HTT Gene Influence Personality Traits in Patients With Subjective Cognitive Decline: A 13-Year Follow-Up Study.

Objective: HTT is a gene containing a key region of CAG repeats. When expanded beyond 39 repeats, Huntington disease (HD) develops. HTT genes with <35 repeats are not associated with HD. The biological function of CAG repeat expansion below the non-pathological threshold is not well understood. In fact higher number of repeats in HTT confer advantageous changes in brain structure and general intelligence, but several studies focused on establishing the association between CAG expansions and susceptibility to psychiatric disturbances and to other neurodegenerative disease than HD. We hypothesized that HTT CAG repeat length below the pathological threshold might influence mood and personality traits in a longitudinal sample of individuals with Subjective Cognitive Decline. Methods: We included 54 patients with SCD. All patients underwent an extensive neuropsychological battery at baseline, APOE genotyping and analysis of HTT alleles. We used the Big Five Factors Questionnaire (BFFQ) and Hamilton Depression Rating Scale (HDRS), respectively, to assess personality traits of patients and depression at baseline. Patients who did not progress to Mild Cognitive Impairment (MCI) had at least 5-year follow-up time. Results: In the whole sample, CAG repeat number in the shorter HTT allele was inversely correlated with conscientiousness (Pearson = -0.364, p = 0.007). There was no correlation between HDRS and CAG repeats. During the follow-up, 14 patients [25.93% (95% C.I. = 14.24-37.61)] progressed to MCI (MCI+) and 40 [74.07% (95% C.I. = 62.39-85.76)] did not (MCI-). When we performed the same analysis in the MCI+ group we found that: CAG repeat length on the shorter allele was inversely correlated with energy (Pearson = 0.639, p = 0.014) and conscientiousness (Pearson = -0.695, p = 0.006). CAG repeat length on the longer allele was inversely correlated with conscientiousness (Pearson = -0.901, p < 0.001) and directly correlated with emotional stability (Pearson = 0.639, p = 0.014). These associations were confirmed also by multivariate analysis. We found no correlations between BFFQ parameters and CAG repeats in the MCI- group. Discussion: Personality traits and CAG repeat length in the intermediate range have been associated with progression of cognitive decline and neuropathological findings consistent with AD. We showed that CAG repeat lengths in the HTT gene within the non-pathological range influence personality traits.

Huntingtin gene intermediate alleles influence the progression from subjective cognitive decline to mild cognitive impairment: A 14-year follow-up study.

BACKGROUND AND PURPOSE: Huntingtin (HTT) is a gene containing a key region of CAG repeats. HTT alleles containing from 27 to 35 CAG repeats are termed intermediate alleles (IAs). We aimed to assess the effect of IAs on progression of cognitive impairment in patients with subjective cognitive decline (SCD). METHODS: We included 106 patients with SCD. All the patients underwent neuropsychological assessments and blood sample collection at baseline. Patients were followed up for a median (interquartile range) time of 13.75 (8.17) years. We genotyped APOE and HTT at the end of the follow-up. RESULTS: Eleven out of 106 patients (10.38%, 95% confidence interval [CI] 4.57-16.18) were carriers of IAs (IA+ ). During the follow-up, 44 patients (41.51%, 95% CI 32.13-50.89) progressed to mild cognitive impairment (MCI; p-SCD group), while 62 patients (58.49%, 95% CI 49.11-67.87) did not (np-SCD group). Rate of progression to MCI was associated with IAs, age at baseline, and APOE ɛ4. We dichotomized age at baseline (<60 years = younger patients [YP], >60 years = older patients [OP]) and then classified patients into four groups: YP/IA- , YP/IA+ , OP/IA-  and OP/IA+ . The OP/IA+  group had a higher proportion of patients with progression from SCD to MCI (85.71%, 95% CI 59.79-100) as compared to the YP/IA-  group (28.57%, 95% CI 13.60-43.54, χ2  = 15.25; p < 0.001) and the OP/IA-  group (45.00%, 95% CI 32.41-57.59, χ2  = 7.903; p = 0.005). We classified patients according to APOE and IA as: ɛ4- /IA- , ɛ4- /IA+ , ɛ4+ /IA- , ɛ4+ /IA+ . The proportion of patients with progression in the ɛ4+ /IA+  group (100%) was higher as compared to the ɛ4- /IA-  group (33.33%, 95% CI 21.96-44.71, χ2  = 14.43; p < 0.001) and ɛ4+ /IA-  (55.56%, 95% CI 36.81-74.30, χ2  = 4.60; p = 0.032). CONCLUSIONS: Intermediate alleles interact with age and APOE ɛ4, increasing the risk of progression to MCI in SCD patients.