Current Alzheimer Research - Volume 16, Issue 14, 2019

There is now a general attempt in developed countries to implement strategic plans to fight against Alzheimer’s disease, for which treatment represents an increasing economic burden for the ageing society. At present, the costs of treatment and care for Alzheimer’s Disease (AD) patients are not consistently tracked and logged, therefore, the economic burden is calculated based on the records kept by individual countries. The aim of this paper is to conduct a meta-analysis of the available data on the total costs of treatment and care for elderly AD patients with respect to the stage of the disease determined by the Mini Mental State Examination (MMSE). The Web of Science and PubMed databases were used for a systematic search. Two independent reviewers screened the identified records and selected relevant articles published in the period from 2007 to 2017. A meta-analysis of costs is performed in three categories related to the stages of Alzheimer’s disease (mild, moderate, and severe). The resulting estimation of total costs per patient per year determined by the meta-analysis is 20,461$ total costs. The total costs in relation to the stage of the disease according to the MMSE scale are 14,675 $ for the mild stage, 19,975 $ for the moderate stage, and 29,708 $ for the severe stage. The meta- analysis confirms that the costs rise significantly with the severity of AD. These findings therefore, emphasize the severity of the economic burden carried out by the AD patients, their families, and the healthcare system, and this fact must be taken into account when planning health policy strategies for the years to come.

Objective: The aim of this study is to assess the association between midlife risk factors and dementia. Methods: PubMed and Cochrane library were systematically searched on May 24, 2018, to retrieve prospective cohort studies. The summary Relative Risk (RR) and 95% Confidence Interval (CI) were calculated by the random-effect model to explore the association between midlife risk factors and dementia. Sensitivity analysis and meta-regression were conducted to explore the source of heterogeneity. Publication bias was examined using Begg's and Egger's tests. Results: Thirty-four prospective cohort studies were included, among which 24 were eligible for metaanalysis. A total of 159,594 non-demented adults were enrolled at baseline before 65 years and 13,540 people were diagnosed with dementia after follow-up. The pooled results revealed that five factors could significantly increase the dementia risk by 41 to 78%, including obesity (RR, 1.78; 95% CI: 1.31-2.41), diabetes mellitus (RR, 1.69; 95% CI: 1.38-2.07), current smoking (RR, 1.61; 95%, CI: 1.32-1.95), hypercholesterolemia (RR, 1.57; 95% CI: 1.19-2.07), and hypertension (borderline blood pressure RR, 1.41; 95% CI: 1.23-1.62 and high Systolic Blood Pressure (SBP) RR, 1.72; 95% CI: 1.25-2.37). However, the sensitivity analyses found that the results of hypercholesterolemia and high SBP were not reliable, which need to be confirmed by more high-quality studies. No influences due to publication bias were revealed. In the systematic review, another three factors (hyperhomocysteinemia, psychological stress, and heavy drinking) were found to be associated with elevated dementia risk. In addition, physical exercise, a healthy diet, and hormone therapy in middle age were associated with the reduction of dementia risk. Conclusions: Middle-aged people with obesity, diabetes, hypertension, or hypercholesterolemia, and current smokers in midlife are at higher risk of developing dementia later in life.

Background: The Angiotensin-Converting Enzyme (ACE) gene has drawn attention for its possible role in regulating the degradation of β-amyloid (Aβ), yet its role in affecting the cognitive and psychiatric symptoms of Alzheimer's Disease (AD) patients has yet to be elucidated. Objective: This study aimed to investigate whether the ACE gene acts as a risk factor of Behavioral and Psychological Symptoms of Dementia (BPSD) in the AD population. Methods: The genotyping of ACE and Apolipoprotein E gene with allele ε4(APOEε4) was determined among 360s clinically diagnosed AD patients. Symptoms and severity of BPSD were evaluated annually via Neuropsychiatric Inventory (NPI). Results: At the base measurement of the first year of patient recruitment, there were no significant contributory risk factors to NPI score. In the two-year follow-up, ACE insertion polymorphism showed a significant risk (adjusted odds ratio=1.65, 95% CI=1.1- 2.5, p=0.019) of progression of NPI total score. Conclusion: ACE gene is involved in aggravating BPSD among AD patients.

Background: Alzheimer’s disease, the most common cause of dementia among the elderly, is a progressive and irreversible neurodegenerative disease. Exposure to air pollutants is known to have adverse effects on human health, however, little is known about hydrocarbons in the air that can trigger a dementia event. Objective: We aimed to investigate whether long-term exposure to airborne hydrocarbons increases the risk of developing dementia. Method: The present cohort study included 178,085 people aged 50 years and older in Taiwan. Cox proportional hazards regression analysis was used to fit the multiple pollutant models for two targeted pollutants, including total hydrocarbons and non-methane hydrocarbons, and estimated the risk of dementia. Results: Before controlling for multiple pollutants, hazard ratios with 95% confidence intervals for the overall population were 7.63 (7.28-7.99, p <0.001) at a 0.51-ppm increases in total hydrocarbons, and 2.94 (2.82-3.05, p <0.001) at a 0.32-ppm increases in non-methane hydrocarbons. The highest adjusted hazard ratios for different multiple-pollutant models of each targeted pollutant were statistically significant (p <0.001) for all patients: 11.52 (10.86-12.24) for total hydrocarbons and 9.73 (9.18-10.32) for non-methane hydrocarbons. Conclusion: Our findings suggest that total hydrocarbons and non-methane hydrocarbons may be contributing to dementia development.

Background: The specific Intravenous Immunoglobulin (IVIG) for Alzheimer’s Disease (AD) is developing, which contains a high level of naturally occurring autoantibodies against amyloid-β (nAbs-Aβ), and the measure of nAbs-Aβ content is greatly essential. Though Enzyme-Linked Immunosorbent Assay (ELISA) has been widely used in detecting the nAbs-Aβ content, the impact of Aβ aggregates species chosen as antigen in ELISA on this measure has not been evaluated. Objective: To clarify the influence of different Aβ40/42 aggregates as antigen during ELISA on the content of nAbs-Aβ40/42 measured in IVIG. Method: Preparation of various Aβ40/42 aggregates was performed by different aggregation solutions and various lengths of time, and analyzed by western blot. Different Aβ40/42 aggregates as antigen were adopted to measure the nAbs-Aβ40/42 content in IVIG by ELISA, and the control was carried out to reduce interference of nonspecific binding. The Bonferroni and Dunnett’s T3 were used for statistical analysis. Results: The duration for the formation of Aβ40/42 aggregates had more effect on detecting nAbs-Aβ40/42 content in IVIG than the aggregation solution. Higher content of nAbs-Aβ40/42 in the same IVIG was displayed when measured with Aβ40/42 aggregates at day 3, instead of at day 0.5 and day 7.0. The nAbs- Aβ40/42 contents in the same IVIG measured with Aβ40/42 aggregates prepared in different solutions were obviously different, but there was no significant regularity among them. Conclusion: The nAbs-Aβ40/42 content in the same IVIG is significantly different when measured with Aβ40/42 aggregated under different conditions. The nAbs-Aβ40/42 content in IVIG by antigen-dependent measures, like ELISA, is uncertain.

Background: Levosimendan is a calcium sensitizer and phosphodiesterase inhibitor that has potent antioxidant and anti-inflammatory activities. Objectives: The aim of the current study is to investigate the potential protective effect of levosimendan on learning and memory impairment induced by diabetes. Methods: Adult Wister rats were randomly divided into four groups (n=15 rats/group): control, levosimendan, streptozotocin (STZ) induced diabetes, and levosimendan-STZ diabetes. Upon confirmation of the success of the STZ diabetic model, intraperitoneal levosimendan (100μg/kg/week) was administrated to the assigned groups for 4 weeks. Then, the radial arm water maze was used to evaluate spatial learning and memory. Oxidative stress biomarkers and brain-derived neurotrophic factor were evaluated in hippocampal tissues. Results: The results showed that Diabetes Mellitus (DM) impaired both short- and long- term memory (P<0.01), while levosimendan protected the animals from memory impairment. In addition, levosimendan prevented DM-induced reduction in the hippocampal levels of superoxide dismutase and glutathione peroxidase (P<0.05). Moreover, the administration of levosimendan prevented DM-induced increases in hippocampal thiobarbituric acid reactive substances level (P<0.05). Furthermore, levosimendan restored the ratio of reduced/oxidized glutathione (GSH/GSSG) in DM rats to that observed in the control group (P<0.05). Conclusions: In summary, DM induced learning and memory impairment, and treatment with levosimendan impeded this impairment probably through preventing alterations in the antioxidant system in the hippocampus.

Background: Inflammation plays a significant role in the pathophysiology of cognitive impairment in previous studies. Neutrophil-lymphocyte ratio (NLR) is a reliable measure of systemic inflammation. Objectives: The aim of this study was to investigate the association between NLR and mild cognitive impairment (MCI), and further to explore the diagnostic potential of the inflammatory markers NLR for the diagnosis of MCI in elderly Chinese individuals. Methods: 186 MCI subjects and 153 subjects with normal cognitive function were evaluated consecutively in this study. Neutrophil (NEUT) count and Lymphocyte (LYM) count were measured in fasting blood samples. The NLR was calculated by dividing the absolute NEUT count by the absolute LYM count. Multivariable logistic regression was used to evaluate the potential association between NLR and MCI. NLR for predicting MCI was analyzed using Receiver Operating Characteristic (ROC) curve analysis. Results: The NLR of MCI group was significantly higher than that of subjects with normal cognitive function (2.39 ± 0.55 vs. 1.94 ± 0.51, P < 0.001). Logistic regression analysis showed that higher NLR was an independent risk factor for MCI (OR: 4.549, 95% CI: 2.623-7.889, P < 0.001). ROC analysis suggested that the optimum NLR cut-off point for MCI was 2.07 with 73.66% sensitivity, 69.28% specificity, 74.48% Positive Predictive Values (PPV) and 68.36% negative predictive values (NPV). Subjects with NLR ≥ 2.07 showed higher risk relative to NLR < 2.07 (OR: 5.933, 95% CI: 3.467-10.155, P < 0.001). Conclusion: The elevated NLR is significantly associated with increased risk of MCI. In particular, NLR level higher than the threshold of 2.07 was significantly associated with the probability of MCI.

Background: rTg4510 mice are transgenic mice expressing P301L mutant tau and have been developed as an animal model of tauopathy including Alzheimer’s Disease (AD). Cornel Iridoid Glycoside (CIG) is an active ingredient extracted from Cornus officinalis, a traditional Chinese herb. The purpose of the present study was to investigate the effects of CIG on tau pathology and underlying mechanisms using rTg4510 mice. Methods: The cognitive functions were detected by Morris water maze and objective recognition tests. Western blotting and immunofluorescence were conducted to measure the levels of phosphorylated tau and related proteins. Serine/threonine phosphatase assay was applied to detect the activity of protein phosphatase 2A (PP2A). Results: Intragastric administration of CIG for 3 months improved learning and memory abilities, prevented neuronal and synapse loss, halted brain atrophy, elevated levels of synaptic proteins, protected cytoskeleton, reduced tau hyperphosphorylation and aggregation in the brain of rTg4510 mice. In the mechanism studies, CIG increased the activity of PP2A, elevated the methylation of PP2A catalytic C (PP2Ac) at leucine 309, decreased the phosphorylation of PP2Ac at tyrosine 307, and increased protein expression of leucine carboxyl methyltransferase 1 (LCMT-1), protein tyrosine phosphatase 1B (PTP1B), and protein phosphatase 2A phosphatase activator (PTPA) in the brain of rTg4510 mice. Conclusion: CIG might have the potential to treat tauopathy such as AD via activating PP2A.