Dissection of synaptic pathways through the CSF biomarkers for predicting Alzheimer's disease

OBJECTIVE: To assess the ability of a combination of synaptic CSF biomarkers to separate AD and non-AD disorders and to help in the differential diagnosis between neurocognitive diseases. METHODS: Retrospective cross-sectional monocentric study. All participants explored with CSF assessments for neurocognitive decline were invited to participate. After complete clinical and imaging evaluations, 243 patients were included. CSF synaptic (GAP-43, neurogranin, SNAP-25 total, SNAP-25 aa40, synaptotagmin-1) and AD biomarkers were blindly quantified using ELISA or mass spectrometry. Statistical analysis compared CSF levels between various groups AD dementias n=81, MCI-AD n=30, other MCI n=49, other dementias (OD) n=49, neurological controls n=35) as well as their discriminatory powers. RESULTS: All synaptic biomarkers were significantly increased in MCI-AD and AD -dementias patients compared to other groups. All synaptic biomarkers could efficiently discriminate AD dementias from OD (AUC ≥0.80). All but synaptotagmin were also able to discriminate MCI-AD from controls (AUC ≥0.85) and AD dementias from controls (AUC ≥0.80). Overall, CSF SNAP 25aa40 had the highest discriminative power (AUC=0.93) between AD dementias and controls or OD, and AUC=0.90 between MCI-AD and controls. Higher levels were associated with two alleles of apolipoprotein E (APOE) ε4. CONCLUSION: All synaptic biomarkers tested had a good discriminatory power to distinguish patients with AD abnormal CSF from non-AD disorders. SNAP25aa40 demonstrated the highest power to discriminate AD CSF positive patients from non-AD patients and neurological controls in this cohort. CLASSIFICATION OF EVIDENCE: This retrospective study provides Class II evidence that CSF synaptic biomarkers discriminate patients with AD from non-AD patients

Neuroinflammation and Aβ accumulation linked to systemic inflammation are decreased by genetic PKR down-regulation

Alzheimer's disease (AD) is a neurodegenerative disorder, marked by senile plaques composed of amyloid-β (Aβ) peptide, neurofibrillary tangles, neuronal loss and neuroinflammation. Previous works have suggested that systemic inflammation could contribute to neuroinflammation and enhanced Aβ cerebral concentrations. The molecular pathways leading to these events are not fully understood. PKR is a pro-apoptotic kinase that can trigger inflammation and accumulates in the brain and cerebrospinal fluid of AD patients. The goal of the present study was to assess if LPS-induced neuroinflammation and Aβ production could be altered by genetic PKR down regulation. The results show that, in the hippocampus of LPS-injected wild type mice, neuroinflammation, cytokine release and Aβ production are significantly increased and not in LPS-treated PKR knock-out mice. In addition BACE1 and activated STAT3 levels, a putative transcriptional regulator of BACE1, were not found increased in the brain of PKR knock-out mice as observed in wild type mice. Using PET imaging, the decrease of hippocampal metabolism induced by systemic LPS was not observed in LPS-treated PKR knock-out mice. Altogether, these findings demonstrate that PKR plays a major role in brain changes induced by LPS and could be a valid target to modulate neuroinflammation and Aβ production

Myocardial Gene Expression Profiling to Predict and Identify Cardiac Allograft Acute Cellular Rejection: The GET-Study

Serial invasive endomyocardial biopsies (EMB) remain the gold standard for acute cellular rejection (ACR) diagnosis. However histological grading has several limitations. We aimed to explore the value of myocardial Gene Expression Profiling (GEP) for diagnosing and identifying predictive biomarkers of ACR.A case-control study nested within a retrospective heart transplant patients cohort included 126 patients with median (IQR) age 50 (41-57) years and 111 (88%) males. Among 1157 EMB performed, 467 were eligible (i.e, corresponding to either ISHLT grade 0 or ≥3A), among which 36 were selected for GEP according to the grading: 0 (CISHLT, n = 13); rejection ≥3A (RISHLT, n = 13); 0 one month before ACR (BRISHLT, n = 10).We found 294 genes differentially expressed between CISHLT and RISHLT, mainly involved in immune activation, and inflammation. Hierarchical clustering showed a clear segregation of CISHLT and RISHLT groups and heterogeneity of GEP within RISHLT. All EMB presented immune activation, but some RISHLT EMB were strongly subject to inflammation, whereas others, closer to CISHLT, were characterized by structural modifications with lower inflammation level. We identified 15 probes significantly different between BRISHLT and CISHLT, including the gene of the muscular protein TTN. This result suggests that structural alterations precede inflammation in ACR. Linear Discriminant Analysis based on these 15 probes was able to identify the histological status of every 36 samples.Myocardial GEP is a helpful method to accurately diagnose ACR, and predicts rejection one month before its histological occurrence. These results should be considered in cardiac allograft recipients' care