Authors: Oh, Eun Hye | Rhee, Je-Keun | Shin, Jin-Hong | Cho, Jae Wook | Kim, Dae-Seong | Park, Ji-Yun | Choi, Seo Young | Choi, Kwang-Dong | Choi, Jae-Hwan
Article Type: Research Article
Abstract: OBJECTIVE: This study aimed to investigate the underlying pathogenesis of acute unilateral vestibulopathy (AUV) using gene expression profiling combined with bioinformatics analysis. METHODS: Total RNA was extracted from the peripheral blood mononuclear cells of ten AUV patients in the acute phase and from ten controls. The differentially expressed genes (DEGs) between these two groups were screened using microarray analysis with the cut-off criteria (|fold changes| > 1.5 and p -value < 0.05). Functional enrichment analysis of DEGs was performed using Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway analysis, and the protein-protein interaction (PPI) network was constructed using the STRING (Search Tool …for the Retrieval of Interacting Genes) database. RESULTS: There were 57 DEGs (50 up-regulated and 7 down-regulated) identified in the AUV group. Functional enrichment analysis showed that most of the up-regulated DEGs were significantly enriched in terms related to the neutrophil-mediated immune pathway. From the PPI network, the top ten hub genes were extracted by calculating four topological properties, and most of them were related to the innate immune system, inflammatory processes and vascular disorders. The complete blood count tests showed that the neutrophil-to-lymphocyte ratio was significantly higher in the 72 AUV patients than in the age-matched controls (2.93±2.25 vs 1.54±0.61, p < 0.001). CONCLUSIONS: This study showed that the neutrophil-mediated immune pathway may contribute to the development of AUV by mediating inflammatory and thrombotic changes in the vestibular organ. Show more
Keywords: Acute unilateral vestibulopathy, bioinformatics analysis, immune system, neutrophil
DOI: 10.3233/VES-200044
Citation: Journal of Vestibular Research, vol. 30, no. 6, pp. 363-374, 2020
Authors: Jung, Na-Yeon | Kim, Eun Soo | Kim, Hyang-Sook | Jeon, Sumin | Lee, Myung Jun | Pak, Kyoungjune | Lee, Jae-Hyeok | Lee, Young Min | Lee, Kangyoon | Shin, Jin-Hong | Ko, Jun Kyeung | Lee, Jae Meen | Yoon, Jin A. | Hwang, Chungsu | Choi, Kyung-Un | Lee, Eun Chong | Seong, Joon-Kyung | Huh, Gi Yeong | Kim, Dae-Seong | Kim, Eun-Joo
Article Type: Research Article
Abstract: The diagnostic performances of cerebrospinal fluid (CSF) biomarkers and amyloid positron emission tomography (PET) were compared by examining the association and concordance or discordance between CSF Aβ1-42 and amyloid PET, after determining our own cut-off values for CSF Alzheimer’s disease (AD) biomarkers. Furthermore, we evaluated the ability of CSF biomarkers and amyloid PET to predict clinical progression. CSF Aβ1-42 , t-tau, and p-tau levels were analyzed in 203 individuals [27 normal controls, 38 mild cognitive impairment (MCI), 62 AD dementia, and 76 patients with other neurodegenerative diseases] consecutively recruited from two dementia clinics. We used both visual and standardized uptake …value ratio (SUVR)-based amyloid PET assessments for analyses. The association of CSF biomarkers with amyloid PET SUVR, hippocampal atrophy, and cognitive function were investigated by linear regression analysis, and the risk of conversion from MCI to AD dementia was assessed using a Cox proportional hazards model. CSF p-tau/Aβ1-42 and t-tau/Aβ1-42 exhibited the best diagnostic accuracies among the CSF AD biomarkers examined. Correlations were observed between CSF biomarkers and global SUVR, hippocampal volume, and cognitive function. Overall concordance and discordance between CSF Aβ1-42 and amyloid PET was 77% and 23%, respectively. Baseline positive CSF Aβ1-42 for MCI demonstrated a 5.6-fold greater conversion risk than negative CSF Aβ1-42 . However, amyloid PET findings failed to exhibit significant prognostic value. Therefore, despite presence of a significant correlation between the CSF Aβ1-42 level and SUVR of amyloid PET, and a relevant concordance between CSF Aβ1-42 and amyloid PET, baseline CSF Aβ1-42 better predicted AD conversion. Show more
Keywords: Alzheimer disease, amyloid, cerebrospinal fluid, mild cognitive impairment, positron emission tomography, tau
DOI: 10.3233/JAD-191109
Citation: Journal of Alzheimer's Disease, vol. 74, no. 2, pp. 473-490, 2020
