Pharmacological Potential of Cilostazol for Alzheimer’s Disease

Alzheimer’s disease (AD), a slow progressive form of dementia, is clinically characterized by cognitive dysfunction and memory impairment and neuropathologically characterized by the accumulation of extracellular plaques containing amyloid β-protein (Aβ) and neurofibrillary tangles containing tau in the brain, with neuronal degeneration and high level of oxidative stress. The current treatments for AD, e.g., acetylcholinesterase inhibitors (AChEIs), have efficacies limited to symptom improvement. Although there are various approaches to the disease modifying therapies of AD, none of them can be used alone for actual treatment, and combination therapy may be needed for amelioration of the progression. There are reports that cilostazol (CSZ) suppressed cognitive decline progression in patients with mild cognitive impairment or stable AD receiving AChEIs. Previously, we showed that CSZ suppressed Aβ-induced neurotoxicity in SH-SY5Y cells via coincident inhibition of oxidative stress, as demonstrated by reduced activity of nicotinamide adenine dinucleotide phosphate oxidase, accumulation of reactive oxygen species, and signaling of mitogen-activated protein kinase. CSZ also rescued cognitive impairment and promoted soluble Aβ clearance in a mouse model of cerebral amyloid angiopathy. Mature Aβ fibrils have long been considered the primary neurodegenerative factors in AD; however, recent evidence indicates soluble oligomers to initiate the neuronal and synaptic dysfunction related to AD and other protein-misfolding diseases. Further underscoring the potential of CSZ for AD treatment, we recently described the inhibitory effects of CSZ on Aβ oligomerization and aggregation in vitro. In this review, we discuss the possibility of CSZ as a potential disease-modifying therapy for the prevention or delay of AD

Anti-Aggregation Effects of Phenolic Compounds on α-Synuclein

The aggregation and deposition of α-synuclein (αS) are major pathologic features of Parkinson\u27s disease, dementia with Lewy bodies, and other α-synucleinopathies. The propagation of αS pathology in the brain plays a key role in the onset and progression of clinical phenotypes. Thus, there is increasing interest in developing strategies that attenuate αS aggregation and propagation. Based on cumulative evidence that αS oligomers are neurotoxic and critical species in the pathogenesis of α-synucleinopathies, we and other groups reported that phenolic compounds inhibit αS aggregation including oligomerization, thereby ameliorating αS oligomer-induced cellular and synaptic toxicities. Heterogeneity in gut microbiota may influence the efficacy of dietary polyphenol metabolism. Our recent studies on the brain-penetrating polyphenolic acids 3-hydroxybenzoic acid (3-HBA), 3,4-dihydroxybenzoic acid (3,4-diHBA), and 3-hydroxyphenylacetic acid (3-HPPA), which are derived from gut microbiota-based metabolism of dietary polyphenols, demonstrated an in vitro ability to inhibit αS oligomerization and mediate aggregated αS-induced neurotoxicity. Additionally, 3-HPPA, 3,4-diHBA, 3-HBA, and 4-hydroxybenzoic acid significantly attenuated intracellular αS seeding aggregation in a cell-based system. This review focuses on recent research developments regarding neuroprotective properties, especially anti-αS aggregation effects, of phenolic compounds and their metabolites by the gut microbiome, including our findings in the pathogenesis of α-synucleinopathies

Detection of liver HBc antigen and its antibody in sera from viral hepatitis by the immunofluorescent complement technique

Hepatitis B core antigen (HBc Ag) and hepatitis B surface antigen (HBs Ag) were detected in the liver tissue of a patient with chronic aggressive hepatitis by the immunofluorescent complement technique. The presence of anti-HBc was examined by the same method in 67 human sera previously tested for HBs Ag, anti-HBs and s-GPT levels. HBc Ag was localized mainly in the nucleus and sometimes in the cytoplasm of the hepatic cells. HBs Ag was found only in the cytoplasm. The focal area of HBc Ag positive hepatic cells seemed to correspond to the HBs Ag positive cells. Double staining demonstrated the simultaneous presence of HBs Ag and HBc Ag in individual cells. Anti-HBc positive serum was found in 46 (68.7%) cases. Forty-eight (71.6%) indicated a combination of HBs Ag and anti-HBc.</p

Neuroprotective activation of astrocytes by methylmercury exposure in the inferior colliculus

Methylmercury (MeHg) is well known to induce auditory disorders such as dysarthria. When we performed a global analysis on the brains of mice exposed to MeHg by magnetic resonance imaging, an increase in the T1 signal in the inferior colliculus (IC), which is localized in the auditory pathway, was observed. Therefore, the purpose of this study is to examine the pathophysiology and auditory dysfunction induced by MeHg, focusing on the IC. Measurement of the auditory brainstem response revealed increases in latency and decreases in threshold in the IC of mice exposed to MeHg for 4 weeks compared with vehicle mice. Incoordination in MeHg-exposed mice was noted after 6 weeks of exposure, indicating that IC dysfunction occurs earlier than incoordination. There was no change in the number of neurons or microglial activity, while the expression of glial fibrillary acidic protein, a marker for astrocytic activity, was elevated in the IC of MeHg-exposed mice after 4 weeks of exposure, indicating that astrogliosis occurs in the IC. Suppression of astrogliosis by treatment with fluorocitrate exacerbated the latency and threshold in the IC evaluated by the auditory brainstem response. Therefore, astrocytes in the IC are considered to play a protective role in the auditory pathway. Astrocytes exposed to MeHg increased the expression of brain-derived neurotrophic factor in the IC, suggesting that astrocytic brain-derived neurotrophic factor is a potent protectant in the IC. This study showed that astrogliosis in the IC could be an adaptive response to MeHg toxicity. The overall toxicity of MeHg might be determined on the basis of the balance between MeHg-mediated injury to neurons and protective responses from astrocytes.This work was partly supported by a KAKENHI grant from the Japan Society for the Promotion of Science, grant numbers 15KK0024 and 17H04714 to Y.I. and 17K00569 to T.Y. This work was also financially supported in part by Tokushima Bunri University. This manuscript has been reviewed by a professional language editing service (American Journal Experts)

Potentiation of 17 beta-estradiol synthesis in the brain and elongation of seizure latency through dietary supplementation with docosahexaenoic acid

Several studies have shown that docosahexaenoic acid (DHA) attenuates epileptic seizures; however, the molecular mechanism by which it achieves this effect is still largely unknown. DHA stimulates the retinoid X receptor, which reportedly regulates the expression of cytochrome P450 aromatase (P450arom). This study aimed to clarify how DHA suppresses seizures, focusing on the regulation of 17β-estradiol synthesis in the brain. Dietary supplementation with DHA increased not only the expression of P450arom, but also 17β-estradiol in the cerebral cortex. While DHA did not affect the duration or scores of the seizures induced by pentylenetetrazole, DHA significantly prolonged the seizure latency. A P450arom inhibitor, letrozole, reduced 17β-estradiol levels and completely suppressed the elongation of seizure latency elicited by DHA. These results suggest that DHA delays the onset of seizures by promoting the synthesis of 17β-estradiol in the brain. DHA upregulated the expression of anti-oxidative enzymes in the cerebral cortex. The oxidation in the cerebral cortex induced by pentylenetetrazole was significantly attenuated by DHA, and letrozole completely inhibited this suppressive action. Thus, the anti-oxidative effects of 17β-estradiol may be involved in the prevention of seizures mediated by DHA. This study revealed that 17β-estradiol in the brain mediated the physiological actions of DHA.This work was partially supported by grants from the Ministry of Education, Culture, Sports, Science and Technology, Japan, KAKENHI for Y.I., K.I. and T.Y. (Nos. 26740024, 26460139 and 25340047), a grant from the Mishima Kaiun Memorial Foundation for Y.I. and a grant from the SKYLARK Food Science Institute for Y.I. This work was also financially supported in part by Tokushima Bunri University. We thank Y. Kamihashi, Y. Utagawa, and K. Kojima for their technical assistance. We also acknowledge S. Smiley-Jewell and M. Paz Prada for editing the manuscript. This manuscript has been checked by a professional language editing service, American Journal Experts

Machine learning-based prediction of relapse in rheumatoid arthritis patients using data on ultrasound examination and blood test

Recent effective therapies enable most rheumatoid arthritis (RA) patients to achieve remission; however, some patients experience relapse. We aimed to predict relapse in RA patients through machine learning (ML) using data on ultrasound (US) examination and blood test. Overall, 210 patients with RA in remission at baseline were dichotomized into remission (n = 150) and relapse (n = 60) based on the disease activity at 2-year follow-up. Three ML classifiers [Logistic Regression, Random Forest, and extreme gradient boosting (XGBoost)] and data on 73 features (14 US examination data, 54 blood test data, and five data on patient information) at baseline were used for predicting relapse. The best performance was obtained using the XGBoost classifier (area under the receiver operator characteristic curve (AUC) = 0.747), compared with Random Forest and Logistic Regression (AUC = 0.719 and 0.701, respectively). In the XGBoost classifier prediction, ten important features, including wrist/metatarsophalangeal superb microvascular imaging scores, were selected using the recursive feature elimination method. The performance was superior to that predicted by researcher-selected features, which are conventional prognostic markers. These results suggest that ML can provide an accurate prediction of relapse in RA patients, and the use of predictive algorithms may facilitate personalized treatment options

Comparison of Anti-Inflammatory Analgesics for Mechanical Stress-induced Inflammation in a Human Synovial Sarcoma Cell Line

Osteoarthritis is a complicated clinical condition affected by age, mechanical stress, cartilage hypertrophy, cytokines, and genetic predisposition. In this study, we compared the effects of various anti-inflammatory analgesics on mechanical stress-induced inflammation in a synovial sarcoma cell line （SW982 cells）. SW982 cells exposed to mechanical stress by shaking with hydroxyapatite-simulating bone chips were treated with acetaminophen, ketoprofen, triamcinolone acetonide, celecoxib, or neurotrophin for 48hr. The expression of integrin α5β1 receptor, observed in fibroblasts and synovium, was evaluated. Levels of the transcription factor, nuclear factor-κB, the inflammatory cytokine, tumor necrosis factor-α, the proteolytic enzyme, matrix metalloproteinase-3, and prostaglandin E2, which is associated with pain and arachidonate cascade product levels, were measured by ELISA. The expression of integrin α5β1 was significantly increased by mechanical stress. Activation of nuclear factor-κB by mechanical stress was significantly suppressed by celecoxib only. Mechanical stress-induced increases in tumor necrosis factor-α and matrix metalloproteinase-3 levels were significantly suppressed by acetaminophen, triamcinolone acetonide, and neurotrophin. The mechanical stress-induced increase in prostaglandin E2 levels was significantly suppressed by acetaminophen, ketoprofen, and celecoxib. SW982 exposed to mechanical stress is proposed as a model for arthritis, and indeed, the expression of integrin α5β1, a membrane receptor protein that binds to fibronectin and the extracellular matrix, and is involved in cell proliferation, differentiation, and neovascularization in osteoarthritis, was significantly upregulated. Following evaluation using this model, acetaminophen was found to possess anti-inflammatory, analgesic, and joint-destruction suppression properties. This drug may, therefore, have applications in the treatment of mechanical stress-induced inflammation