Bu, Guojun

The immune system substantially influences age-related cognitive decline and Alzheimer’s disease (AD) progression, affected by genetic and environmental factors. In a Mayo Clinic Study of Aging cohort, we examined how risk factors like APOE genotype, age, and sex affect inflammatory molecules and AD biomarkers in cerebrospinal fluid (CSF). Among cognitively unimpaired individuals over 65 ( N = 298), we measured 365 CSF inflammatory molecules, finding age, sex, and diabetes status predominantly influencing their levels. We observed age-related correlations with AD biomarkers such as total tau, phosphorylated tau-181, neurofilament light chain (NfL), and YKL40. APOE4 was associated with lower Aβ42 and higher SNAP25 in CSF. We explored baseline variables predicting cognitive decline risk, finding age, CSF Aβ42, NfL, and REG4 to be independently correlated. Subjects with older age, lower Aβ42, higher NfL, and higher REG4 at baseline had increased cognitive impairment risk during follow-up. This suggests that assessing CSF inflammatory molecules and AD biomarkers could predict cognitive impairment risk in the elderly.

AbstractBackgroundThe accumulation of the amyloid‐β (Aβ) aggregates in the brain is a key pathological event in the development of Alzheimer’s disease (AD). The α‐secretase ADAM10 is responsible for cleavage of the amyloid precursor protein (APP) through a non‐amyloidogenic pathway, thereby preventing the generation of pathogenic Aβ in the brain. Secreted frizzled related protein‐1 (sFRP1), an endogenous antagonist of Wnt signaling, has recently been identified as a key negative modulator of ADAM10. Importantly, proteomic studies reveal that unregulated sFRP1 is one of the top Aβ‐correlated proteins in the human AD brains.MethodsWe determined the therapeutic potential of specific sFRP1 WAY316606 in the N2a/APP695swe cells and patient‐specific iPSC‐derived cerebral organoids.ResultsWe herein demonstrated that treatment of sFRP1 inhibitor WAY316606 resulted in augmentation of ADAM10 activity, upregulation of soluble APP‐α (sAPPα) production, and inhibition of Aβ generation in the N2a/APP695swe cells. Moreover, WAY316606 significantly enhanced ADAM10 activity, decreased Aβ production and inhibited tau phosphorylation in human AD patient‐specific iPSC‐derived cerebral organoids.ConclusionOur findings indicate that sFRP1 is a promising therapeutic target for AD.

AbstractBackgroundA hallmark of Alzheimer’s disease is amyloid‐β (Aβ) deposition in the brain parenchyma as senile plaques which Aß frequently accompanies in the cerebral vasculature as cerebral amyloid angiopathy (CAA). Previous studies demonstrated that the cerebrovascular system is essential for Aβ clearance and interactions exist between cerebrovascular disease and AD. Neuroimaging data, including measures on small vessel disease, amyloid deposits, and microhemorrhages (MCH), can reflect both cerebrovascular disease and AD pathology, thereby serving as intermediate phenotypes of both conditions. We aim to identify genes and co‐expression networks in blood associated with these neuroimaging endophenotypes and the biological pathways enriched in these perturbed transcriptional networks.MethodWe conducted differential gene expression and Weighted Gene Co‐Expression Network analyses (WGCNA) on blood RNA sequencing data of 407 participants from the longitudinally followed Mayo Clinic Study of Aging cohort. The neuroimaging phenotypes include MCH, infarction, and amyloid deposits measured by Pittsburgh compound B positron emission tomography (PiB PET).ResultWGCNA analysis showed a nominally significant association (p<0.05) between several module eigengenes (MEs) and MCH and PiB PET. One module, M42, remained significantly associated with PiB PET after Bonferroni correction for all 43 modules tested. Pathway enrichment analysis of M42 identified two significant pathways (FDR‐adjusted p<0.05) including phosphodiesterase I activity and IgE binding. These pathways contain genes such as MS4A2 encoding the high‐affinity IgE receptor involved in the immune response. Similarly, ENPP2 in the phosphodiesterase I activity pathway represents an additional candidate gene previously implicated in Alzheimer’s disease.ConclusionWe generated co‐expression networks and identified one network module with a statistically significant association between brain amyloid deposits and blood transcriptome data. Further investigations of this network and its enriched pathways are necessary to understand their roles in amyloidosis, CAA, and neurodegeneration. Future studies will include seeking replication of these results in other datasets. Such studies can help elucidate the biological mechanisms of pathogenesis of cerebrovascular damage and amyloid deposits. In addition, in a clinical setting, blood levels of transcripts discovered in this study may serve as predictive or diagnostic biomarkers with mechanistic implications.

AbstractBackgroundThe causes of rapidly progressive dementia are heterogeneous, including neurodegenerative, vascular, and autoimmune/inflammatory diseases. Overlap in presenting symptoms and signs, results of cognitive testing, and findings on brain imaging and other common diagnostic tests confounds the etiologic diagnosis, contributing to diagnostic delays, missed opportunities for treatment, and poorer outcomes in patients with RPD. New tools and approaches are needed to improve diagnostic accuracy, with particular emphasis on improving early recognition of patients with potentially treatable causes of RPD.MethodsEstablished and emerging biomarkers of Alzheimer disease neuropathology (Aβ42/40, p‐tau181, p‐tau231), neuroaxonal and neuronal injury (neurofilament light [NfL], VILIP‐1, total tau), neuroinflammation (YKL‐40, sTREM2, GFAP, MCP‐1), and synaptic dysfunction (SNAP‐25, neurogranin) were measured in cerebrospinal fluid obtained at presentation from 78 prospectively accrued patients with RPD due to neurodegenerative (n = 35), vascular (n = 9), and autoimmune/inflammatory (n = 34) diseases, and 72 age‐ and sex‐similar cognitively normal individuals (controls). Causes of RPD were further classified as potentially treatment‐responsive or nonresponsive, referencing the extant literature. Biomarker levels were compared across etiologic diagnoses and by treatment responsiveness, referencing control values. Analyses were adjusted for the effects of age (ANCOVA).ResultsAlzheimer disease biomarkers (low Aβ42/40 and elevated p‐tau181 and p‐tau231) were associated with neurodegenerative causes of RPD (ANCOVA, p = 0.02 p = 0.30, p = 0.15), while high NfL (p = 0.61), low VILIP‐1 (p = 0.009), and elevated markers of inflammation (sTREM2, p = 0.009; YKL‐40, p<0.001) identified patients with autoimmune/inflammatory diseases (Figure). MCP‐1 levels were highest in patients with vascular causes of RPD (p = 0.08). 44 patients (56.4%) had potentially treatment‐responsive causes of RPD. Treatment responsiveness was associated with higher levels of CSF Aβ42/40 (p = 0.003), NfL (p<0.001), sTREM2 (p<0.001) and YKL‐40 (p<0.001); and lower levels of p‐tau‐181 and p‐tau231 (p<0.001, p<0.001) and VILIP‐1 (p<0.001).ConclusionSelected biomarkers measured in CSF at presentation associate with etiologic diagnosis and treatment responsiveness in patients with neurodegenerative, vascular, and autoimmune/inflammatory causes of RPD. Biomarker panels may be adapted to improve recognition of patients with treatment‐responsive causes of RPD early in the symptomatic course when treatments may be most effective.

AbstractBackgroundThe meningeal layers form a unique interface between the central nervous and peripheral immune systems. The lymphatic vasculature that is present in the meningeal dura and drains cerebrospinal fluid (CSF) becomes dysregulated during aging and in models of neurodegenerative disorders such as Alzheimer’s disease (AD). Apolipoprotein E (APOE), and the isoform APOE4 in particular, increases the risk for late‐onset sporadic AD. However, it is still poorly understood whether changes in meningeal lymphatic morphology and drainage are mediating the deleterious effects of APOE4 expression. In the present study, we investigate the effects of human APOE3 or APOE4 on meningeal lymphatic function and immunity.MethodWe evaluated the morphology of lymphatic vessels in dural whole mounts of age‐matched wild type, Apoe‐KO, APOE3, and APOE4 mice at 2‐3, and 11‐12 months. This assessment was performed in both male and female mice. The drainage function of meningeal lymphatics is being assessed in the same mice by in vivo imaging of CSF‐derived fluorescent tracers into the deep cervical lymph nodes. We have also performed RNAscope and protein measurements using murine meningeal tissue to investigate the main cellular source(s) of Apoe, and single‐cell RNA sequencing to explore the cell‐specific transcriptomic signatures linked to the changes in meningeal lymphatic function.ResultLymphatic vessel length is increased in 11‐12‐month‐old APOE4 male mice, when compared to their APOE3 counterparts. Interestingly, the same was not detected in female mice. Dural myeloid cells, expressing Itgam (encoding for CD11b), are the main source of Apoe mRNA transcripts, and one of the main sources of apoE protein in the brain dura mater. APOE4 expression and age markedly alter the transcriptional profile of meningeal myeloid cells, which show overexpression of lysosomal, antigen presentation, and complement genes.ConclusionAPOE4 expression leads to a sex‐dependent meningeal lymphatic vascular remodeling, which is associated with an exacerbated activation of meningeal macrophages. In future studies, we will test whether the changes in meningeal lymphatics observed in mice expressing APOE4 are mediated by myeloid cell derived APOE.

AbstractBackgroundLoss of function mutations in PINK1 and PRKN are the most common causes of early‐onset Parkinson disease (PD). The encoded ubiquitin (Ub) kinase PINK1 and the E3 Ub ligase PRKN together regulate the autophagic degradation of dysfunctional mitochondria, termed mitophagy. During this cytoprotective process, PINK1 and PRKN identify and jointly decorate damaged mitochondria with phosphorylated Ub (pS65‐Ub) that serves as the mitophagy tag. Accumulating evidence suggest a pathogenic role for impaired mitophagy in PD and related neurodegenerative conditions. This is in line with our previous finding of increased levels of the mitophagy marker pS65‐Ub in the hippocampus of postmortem Lewy body disease (LBD) brain.MethodWe performed a genome‐wide association study (GWAS) of hippocampal pS65‐Ub level to identify novel regulators of the PINK1‐PRKN‐directed mitophagy in LBD. In our two‐stage GWAS, we obtained 1,012 autopsy confirmed LBD samples (754 discovery stage, 258, replication stage) from Caucasian participants of European ancestry. Using an established, mostly automated workflow, hippocampal sections were immunostained for pS65‐Ub, scanned, and quantified with unbiased algorithms.ResultOur findings identified that APOE rs429358 (β: 0.50, 95% CI: 0.41 to 0.69, p = 8.67×10−25) was very strongly associated with pS65‐Ub levels in LBD brain. The APOE4 genotype is known to exacerbate Aβ and tau deposition. We did observe strong correlations of pS65‐Ub levels with both tau tangle and senile plaque density in the entire LBD cohort. Nevertheless, the increased pS65‐Ub levels in APOE4‐carrying LBD brains were also independent of Aβ and tau deposition in a subgroup (N = 175) with medium levels of these pathologies. To further explore APOE4 effects on mitophagy outside disease context, this observation was also confirmed in APOE‐targeted replacement mice and in induced pluripotent stem cell‐derived astrocytes.ConclusionOur findings nominate a novel mitophagy regulator in LBD brain and highlight a strong association of APOE4 with mitophagy alteration. Our results suggested that APOE4 may mediate mitophagy defects through two mechanisms, by aggravating Alzheimer’s‐type pathologies and also independent of them. With APOE4 being the strongest known risk factor for Alzheimer’s disease and dementia with Lewy bodies, our findings suggest a common mechanistic link underscoring the importance of mitochondrial quality control.

AbstractBackgroundAlzheimer’s disease (AD) is neuropathologically characterized by amyloid‐β (Aβ) plaques and tau neurofibrillary tangles often quantified by Thal phase and Braak stage, respectively. Aβ also frequently deposits in the cerebrovasculature with severity categorized by a cerebral amyloid angiopathy (CAA) score. These and related measures often show high variability within AD suggesting distinct underlying mechanisms, the identification of which may reveal important biological insights into AD pathophysiology. We hypothesize that, within the AD brain, neuropathology and levels of core AD‐related proteins are influenced by variations in DNA methylation (DNAm). To test this, we performed epigenome‐wide association studies (EWAS) using DNAm clusters from the temporal cortex (TCX) and cerebellum (CER) with AD‐related neuropathologic measures (Braak, Thal, and CAA) and brain biochemical levels of five proteins (apoE, Aβ40, Aβ42, tau, and p‐tau).MethodsDNAm from neuropathologically‐confirmed AD cases available through the Mayo Clinic brain bank was measured by reduced representation bisulfite sequencing (RRBS) from 471 brain samples, 200 of which had both TCX and CER measures. Neuropathology was scored by an experienced neuropathologist. TCX levels of five AD‐related proteins from three tissue fractions (buffer‐, detergent‐, and in‐soluble) were measured by ELISA (Liu 2020). CpG methylation (CpGm) was binned by a 15‐state chromatin model (Kundaje 2015) and averaged. Averaged CpGm clusters were tested for their association with each endophenotype through multi‐variable linear regression. The influence of CpGm clusters on expression levels of nearby genes was also investigated through multi‐variable regression.ResultsOur innovative binning method demonstrated expected and biologically relevant CpGm patterns. We identified multiple epigenome‐wide significant CpGm clusters unique to each AD‐related endophenotype and brain region. Comparisons between the TCX and CER further revealed brain region‐specific enrichment of distinct CpGm clusters. Significant CpGm clusters were further characterized by their influence on gene expression.ConclusionsAlthough all neuropathologic and biochemical endophenotypes tested are core to AD pathophysiology, our results suggest each has a distinct epigenetic architecture underlying their variability in the AD brain. By discovering brain region‐specific DNAm changes that contribute to each neuropathologic or biochemical outcome, we can identify core components of complex mechanisms that individually and jointly contribute to AD.

ObjectiveThis study was undertaken to apply established and emerging cerebrospinal fluid (CSF) biomarkers to improve diagnostic accuracy in patients with rapidly progressive dementia (RPD). Overlap in clinical presentation and results of diagnostic tests confounds etiologic diagnosis in patients with RPD. Objective measures are needed to improve diagnostic accuracy and to recognize patients with potentially treatment‐responsive causes of RPD.MethodsBiomarkers of Alzheimer disease neuropathology (amyloid‐β 42/40 ratio, phosphorylated tau [p‐tau181, p‐tau231]), neuroaxonal/neuronal injury (neurofilament light chain [NfL], visinin‐like protein‐1 [VILIP‐1], total tau), neuroinflammation (chitinase‐3‐like protein [YKL‐40], soluble triggering receptor expressed on myeloid cells 2 [sTREM2], glial fibrillary acidic protein [GFAP], monocyte chemoattractant protein‐1 [MCP‐1]), and synaptic dysfunction (synaptosomal‐associated protein 25kDa, neurogranin) were measured in CSF obtained at presentation from 78 prospectively accrued patients with RPD due to neurodegenerative, vascular, and autoimmune/inflammatory diseases; 35 age‐ and sex‐matched patients with typically progressive neurodegenerative disease; and 72 cognitively normal controls. Biomarker levels were compared across etiologic diagnoses, by potential treatment responsiveness, and between patients with typical and rapidly progressive presentations of neurodegenerative disease.ResultsAlzheimer disease biomarkers were associated with neurodegenerative causes of RPD. High NfL, sTREM2, and YKL‐40 and low VILIP‐1 identified patients with autoimmune/inflammatory diseases. MCP‐1 levels were highest in patients with vascular causes of RPD. A multivariate model including GFAP, MCP‐1, p‐tau181, and sTREM2 identified the 44 patients with treatment‐responsive causes of RPD with 89% accuracy. Minimal differences were observed between typical and rapidly progressive presentations of neurodegenerative disease.InterpretationSelected CSF biomarkers at presentation were associated with etiologic diagnoses and treatment responsiveness in patients with heterogeneous causes of RPD. The ability of cross‐sectional biomarkers to inform upon mechanisms that drive rapidly progressive neurodegenerative disease is less clear. ANN NEUROL 2024;95:299–313