Citations

Abstract In neurodegenerative diseases, extracellular vesicles (EVs) transfer pathogenic molecules and are consequently involved in disease progression. We have investigated the proteomic profiles of EVs that were isolated from four different human‐induced pluripotent stem cell‐derived neural cell types (excitatory neurons, astrocytes, microglia‐like cells, and oligodendrocyte‐like cells). Novel cell type‐specific EV protein markers were then identified for the excitatory neurons (ATP1A3, NCAM1), astrocytes (LRP1, ITGA6), microglia‐like cells (ITGAM, LCP1), and oligodendrocyte‐like cells (LAMP2, FTH1), as well as 16 pan‐EV marker candidates, including integrins and annexins. To further demonstrate how cell‐type‐specific EVs may be involved in Alzheimer's disease (AD), we performed protein co‐expression network analysis and conducted cell type assessments for the proteomes of brain‐derived EVs from the control, mild cognitive impairment, and AD cases. A protein module enriched in astrocyte‐specific EV markers was most significantly associated with the AD pathology and cognitive impairment, suggesting an important role in AD progression. The hub protein from this module, integrin‐β1 (ITGB1), was found to be significantly elevated in astrocyte‐specific EVs enriched from the total brain‐derived AD EVs and associated with the brain β‐amyloid and tau load in independent cohorts. Thus, our study provides a featured framework and rich resource for the future analyses of EV functions in neurodegenerative diseases in a cell type‐specific manner.

Abstract Purpose: Diffuse large B-cell lymphoma (DLBCL) is molecularly and clinically heterogeneous, and can be subtyped according to genetic alterations, cell-of-origin, or microenvironmental signatures using high-throughput genomic data at the DNA or RNA level. Although high-throughput proteomic profiling has not been available for DLBCL subtyping, MYC/BCL2 protein double expression (DE) is an established prognostic biomarker in DLBCL. The purpose of this study is to reveal the relative prognostic roles of DLBCL genetic, phenotypic, and microenvironmental biomarkers. Experimental Design: We performed targeted next-generation sequencing; IHC for MYC, BCL2, and FN1; and fluorescent multiplex IHC for microenvironmental markers in a large cohort of DLBCL. We performed correlative and prognostic analyses within and across DLBCL genetic subtypes and MYC/BCL2 double expressors. Results: We found that MYC/BCL2 double-high-expression (DhE) had significant adverse prognostic impact within the EZB genetic subtype and LymphGen-unclassified DLBCL cases but not within MCD and ST2 genetic subtypes. Conversely, KMT2D mutations significantly stratified DhE but not non-DhE DLBCL. T-cell infiltration showed favorable prognostic effects within BN2, MCD, and DhE but unfavorable effects within ST2 and LymphGen-unclassified cases. FN1 and PD-1–high expression had significant adverse prognostic effects within multiple DLBCL genetic/phenotypic subgroups. The prognostic effects of DhE and immune biomarkers within DLBCL genetic subtypes were independent although DhE and high Ki-67 were significantly associated with lower T-cell infiltration in LymphGen-unclassified cases. Conclusions: Together, these results demonstrated independent and additive prognostic effects of phenotypic MYC/BCL2 and microenvironment biomarkers and genetic subtyping in DLBCL prognostication, important for improving DLBCL classification and identifying prognostic determinants and therapeutic targets.

AbstractBackgroundIn preparation for treatment trials in frontotemporal dementia (FTD), sensitive assessments to detect early clinical deficits and track longitudinal changes are needed. Remote digital data collection using smartphones may improve sensitivity to detect and follow abnormalities by allowing novel methods of data capture and more frequent assessments. Furthermore, remote evaluations can reduce patient and staff burden. Despite these benefits, little is known about the reliability and validity of self‐administered cognitive testing completed on smartphones.MethodWe investigated self‐administered smartphone cognitive tests from the ALLFTD Mobile App in a mixed sample of 45 participants, including 10 functionally intact older adults, 24 participants from families harboring pathogenic FTD mutations (asymptomatic n=14; mildly symptomatic n=10;), and 11 symptomatic FTD‐spectrum participants. A subset (n=15) was missing CDR®+NACC‐FTLD data but consensus diagnoses were available. Participants were asked to complete five tests that were repeated three times over eight days. Tests included versions of N‐back, Stroop, Flanker, and Go/No‐Go paradigms, and an adaptive spatial working memory test. Reliability was assessed using split‐half reliability (first testing session, 100 simulations) and intraclass correlations (ICC) across the three testing sessions. Linear models were fitted to evaluate the association of test performance with age and disease severity (CDR®+NACC‐FTLD Global and Box Scores), covarying for sex and education level. Models evaluating age associations excluded symptomatic participants.ResultParticipants completed 72.4% of available instruments. Split‐half reliability (range: 0.76 to 0.97) and ICCs (0.70 to 0.92) suggested adequate‐to‐excellent internal consistency and test‐retest reliability. Across the five tests, negative associations were observed with CDR®+NACC‐FTLD Box Scores (ßs = ‐0.24 to ‐0.77), and in clinically asymptomatic individuals, negative associations were observed with age (ßs = ‐0.43 to ‐0.88). Performance on all measures was worse in symptomatic participants compared to asymptomatic (p‐values<.05). Mildly symptomatic cases (CDR®+NACC‐FTLD=0.5) performed worse on Stroop, Flanker, and spatial working memory than asymptomatic participants (p‐values<.03). Flanker and Stroop tasks consistently showed the strongest reliability and validity findings.ConclusionSmartphone adaptations of common neuropsychological tests produced promising preliminary results. Strong associations with disease severity and age suggest these metrics may be valid for detecting clinically relevant cognitive changes, even in mildly symptomatic FTD.

AbstractBackgroundAlzheimer’s disease (AD) is a pervasive neurodegeneration disease with high heritability. Whole exome sequencing study identified two rare African American (AA)‐specific variants in AKAP9, a kinase anchor protein 9, (rs144662445 and rs149979685), that increased the odds of AD more than 2.75‐fold. However, the functional impact of the AKAP9 rs144662445 (I2558M) mutation in the central nervous system and the underlying mechanism in AD remain unclear.MethodAKAP9 I2558M mutation was introduced by CRISPR‐mediated knock‐in and validated by Sanger sequence in SH‐SY5Y cells stably expressing P301L Tau (SH‐SY5Y P301L cells), which was further differentiated into neuronal cells. Tau phosphorylated level between AKAP9 WT and I2558M cells was evaluated by immunocytochemistry and ELISA assay. Moreover, we analyzed the tau interactome in AKAP9 I2558M cells by affinity purification‐mass spectrometry. In silico analysis was performed to compare the differences between AKAP9 WT and mutation in tau‐interacting proteins. The protein synthesis and oxidative activity in SH‐SY5Y P301L neurons with and without I2558M were measured by using the Click‐iT protein synthesis kit and CellRox dye, respectively.ResultNo difference in the neuronal cell morphology was observed between differentiated WT and mutant SH‐SY5Y P301L cells. The AD‐associated AKAP9 I2558M mutation resulted in a significant increase in phosphorylated tau protein at residues S396 and S404 site in a differentiated SH‐SY5Y P301L cell line. The presence of this mutation altered the composition of tau‐interacting proteins, by increasing interaction of proteins associated with translation, RNA localization and oxidative activity. Importantly, functional studies showed a significant reduction in protein synthesis activity and excessive oxidative stress in AKAP9 mutant compared to wild type cells.ConclusionOur results demonstrated specific effects of rs14462445 on mis‐processing of tau and suggest a potential role of AKAP9 in AD pathogenesis.

AbstractInflammatory pseudotumor (IPT), also known as plasma cell granuloma, is a rare lesion of unknown etiology that occurs in many organs, especially in the lung. Here we report five cases of IPT arising in pulmonary artery mimicking chronic thromboembolic disease, not previously documented in the literature. Those cases were identified at our institute among over 2500 pulmonary endarterectomy (PEA) specimens acquired from 2000 to 2017. The cohort included three men and two women with a median age of 41 years (range: 23–54). All patients presented with dyspnea and radiologic findings of pulmonary artery thromboembolism, some concerning for intimal sarcoma. The duration between disease onset and PEA ranged from 6 months to approximately 3 years. Histologically, all cases showed proliferation of spindle cells with marked inflammatory infiltrates composed predominantly of plasma cells, histiocytes, and small lymphocytes. Ancillary studies were performed in each case and ruled out other possibilities, such as sarcoma, lymphoma, plasmacytoma, IgG4‐related disease, and infection. IPT arising in pulmonary artery presenting clinically as acute or chronic thromboembolic disease is very unusual, in which clinical data, radiographic findings, and histopathologic features have to be integrated for reaching the proper diagnosis.

Menopausal hormone therapy (HT) aims to improve a woman's quality of life by treating bothersome menopausal symptoms associated with low estrogen levels. Although HT is prescribed to millions of women worldwide, its breast-related adverse effects have always been a concern. Some of the common adverse effects of HT are breast fullness, increased breast density, and increased breast cancer (BC) risk. Health care professionals need to be aware of the influence of HT on breast tissue to provide appropriate counseling as part of informed decision making. Our review summarizes the influence of HT on breast symptoms, breast density, mammograms, and BC risk.