scholarly journals Analysis of oral microbiome in chronic periodontitis with Alzheimer’s disease: Pilot study

2020 ◽  
Author(s):  
Hee Sam Na ◽  
Na-Yeon Jung ◽  
Suji Choi ◽  
Si yeong Kim ◽  
Hyun‐Joo Kim ◽  
...  

Abstract Background Alzheimer's disease (AD) dementia is the most common form of dementia in the elderly. Chronic periodontitis (CP) is a progressive destructive disease in the periodontal tissues, which is also common in the elderly. CP is known to be associated with an increase in cognitive decline in Alzheimer’s disease (AD). Recently, a potential role for pathogenic microbes in the development or exacerbation of AD pathology has been proposed. To reveal the association between periodontitis-related microbes and AD, we investigated the oral microbiome in AD patients with CP. Methods Fifteen AD dementia (AD) with CP and 14 cognitively unimpaired (CU) participants with CP were recruited. Buccal, supragingival and subgingival plaque samples were collected with the full-mouth periodontal examination. Alpha diversity, beta diversity, LEfSe (linear discriminant analysis effect size), metabolic pathway prediction and network analysis were applied to compare the microbiome features. Results All participants had moderate to severe chronic periodontitis. The level of alpha diversity in subgingival microbiota of the AD group was higher than the CU group. Also, principle coordinate analysis showed significant difference in subgingival samples. When significant taxa were analyzed by LEfSe, various Prevotella spp. were more prevalent in subgingival samples from AD group. Furthermore, subgingival microbiome network analysis showed distinctive network complexity in AD compared to CU group. Conclusion We found that subgingival microbiome of AD patients had increased microbial diversity. The composition of subgingival microbiome was different between the AD and the CU groups. This pilot study provides a novel view at the changes of subgingival microbiome in AD patients with CP. Our findings need further well-designed studies with adequate sample size to confirm oral microbiome characteristics in AD with CP.

2011 ◽  
Vol 26 (S2) ◽  
pp. 498-498
Author(s):  
M.T. Santos ◽  
G.C. Couto ◽  
J.C. Achieri ◽  
C.A. Júnior

Dementia are increasingly prevalent in population. The most common causes of dementia is Alzheimer's disease (AD). Screening tests have been used for the premature diagnosis of Alzheimer Disease (AD), specifically in the executive functions and language, which are compromised at an initial stage. However, the necessity standardized means and validated for our middle, to show oneself a pressing subject.ObjectiveTo analyze the impact of the length of sentences in the abstraction of proverbs in the Screening Test for Alzheimer's disease with Proverbs (TRDAP), healthy elderly and with Alzheimer's disease at early stage.MethodSurvey document in the database, analyzing the responses of the elderly (abstract or concrete interpretation of proverbs), relating the length of sentences (sayings) of stage B of TRDAP with the diagnosis of Alzheimer's disease and the interference of age and schooling.ResultsHealthy older people showed greater capacity for abstraction than those with AD. There was Significant differences, in the sayings 1 (p = 0.033) and 2 (p = 0.001), corresponding to lower sentences, which did not occur with the proverb 3. As for age no verified significant difference among the healthy and only saying 3 in AD patients, however schooling differenced the healthy.ConclusionElderly with Alzheimer's disease at an initial stage have lower performance in the comprehension of ambiguous sentences, interpretation and abstraction of proverbs, corroborating with the data of the literature. The size of these sentences appears to be inversely proportional to the correctness of interpretation in elderly patients with and without AD.


Genetika ◽  
2013 ◽  
Vol 45 (2) ◽  
pp. 503-514 ◽  
Author(s):  
Jalal Gharesouran ◽  
Maryam Rezazadeh ◽  
Mohaddes Mojtaba

Alzheimer's disease is a complex neurodegenerative disorder characterized by memory and cognitive impairment and is the leading cause of dementia in the elderly. The aim of our study was to examine the polymorphic DNA markers CCR2 (+190 G/A), CCR5?32, TNF-? (-308 G/A), TNF-? (-863 C/A) and CALHM1 (+394 C/T) to determine the relationship between these polymorphisms and the risk of late onset Alzheimer's disease in the population of Eastern Azerbaijan of Iran. A total of 160 patient samples and 163 healthy controls were genotyped by PCR-RFLP and the results confirmed using bidirectional sequencing. Statistical analysis of obtained data revealed non-significant difference between frequency of CCR5?32 in case and control groups. The same result was observed for TNF-? (-863 C/A) genotype and allele frequencies. Contrary to above results, significant differences were detected in frequency of TNF-? (-308 G/A) and CCR2-64I genotypes between the cases and healthy controls. A weak significant difference observed between allele and genotype frequencies of rs2986017 in CALHM1 (+394 C/T; P86L) in patient and control samples. It can be concluded that the T allele of P86L variant in CALHM1 & +190 G/A allele of CCR2 have a protective role against abnormal clinical features of Alzheimer's disease.


2020 ◽  
Author(s):  
Qi Wang ◽  
Siwei Chen ◽  
He Wang ◽  
Luzeng Chen ◽  
Yongan Sun ◽  
...  

AbstractAlzheimer’s disease (AD) is a common neurodegenerative disease in the elderly, early diagnosis and timely treatment are very important to delay the course of the disease. In the past, most of the brain regions related to AD were identified based on the imaging method, which can only identify some atrophic brain regions. In this work, we used mathematical models to find out the potential brain regions related to AD. First, diffusion tensor imaging (DTI) was used to construct the brain structural network. Next, we set a new local feature index 2hop-connectivity to measure the correlation among different areas. And for this, we proposed a novel algorithm named 2hopRWR to measure 2hop-connectivity. At last, we proposed a new index GFS (Global Feature Score) based on global feature by combing 5 local features: degree centrality, betweenness centrality, closeness centrality, the number of maximal cliques, and 2hop-connectivity, to judge which brain regions are likely related to Alzheimer’s Disease. As a result, all the top ten brain regions in GFS scoring difference between the AD group and the non-AD group were related to AD by literature verification. Finally, the results of the canonical correlation analysis showed that the GFS was significantly correlated with the scores of the mini-mental state examination (MMSE) scale and montreal cognitive assessment (MoCA) scale. So, we believe the GFS can also be used as a new index to assist in diagnosis and objective monitoring of disease progression. Besides, the method proposed in this paper can be used as a differential network analysis method in other areas of network analysis.


1997 ◽  
Vol 9 (2) ◽  
pp. 197-206 ◽  
Author(s):  
Frances Oakley ◽  
Trey Sunderland

The purpose of this pilot study was to evaluate the usefulness of the Assessment of Motor and Process Skills (AMPS) as an outcome measure of instrumental activities of daily living (IADL) in pharmacologic studies of people with Alzheimer's disease. The AMPS simultaneously measures motor and process skills and their effect on the ability of the person to perform familiar IADL tasks. We administered the AMPS to 11 Alzheimer inpatients in a 31/2-month, double-blind, placebo-controlled, crossover study of fluoxetine and selegiline administered as single agents and in combination with physostigmine. Results indicated that there was a significant difference in IADL ability among study conditions for process skills, but not for motor skills, thereby suggesting that the AMPS is useful as a sensitive outcome measure of IADL ability in drug trials with this population.


2012 ◽  
Vol 2012 ◽  
pp. 1-6 ◽  
Author(s):  
Michiya Igase ◽  
Katsuhiko Kohara ◽  
Tetsuro Miki

Hypertension (HT) and dementia are common disorders in the elderly. HT in the elderly is associated with increased occurrence rates of dementia including Alzheimer's disease (AD) and vascular dementia (VaD). In connection to this, some studies have suggested that HT in old age correlates with the pathogenesis of dementia. Since HT is potentially reversible, a number of randomized trials have examined whether antihypertensive treatment may help in preventing dementia occurrence. We review five studies, all using subjects 60 years or older, which investigated different antihypertensive pharmacological treatments. Data from two trials (Syst-Eur, PROGRESS) open the way toward the prevention of dementia (AD or VaD) by antihypertensive treatments. In the Syst-Eur study, with the dihydropyridine calcium antagonists, a reduction in both types of dementia was demonstrated (risk reduction 55%). The PROGRESS study showed that the use of angiotensin-converting enzyme inhibitors (ACEIs), with or without diuretics, resulted in decrease incidence of stroke-related dementia (risk reduction 19%), but dementia without stroke was not reduced. In contrast, the SHEP trial, treatment with a chlorthalidone-based antihypertensive regimen, did not significantly reduced the incidence of dementia. The SCOPE study (candesartan or hydrochlorothiazide versus placebo) and the HYVET-COG study (indapamide or perindopril versus placebo) found no significant difference between the active treatment and placebo group on the incidence of dementia. We found conflicting results regarding treatment benefits in dementia prevention. Recent clinical trials and studies on animal models suggest that blockades of RAS system could have reduced cognitive decline seen in Alzheimer's disease and vascular dementia. Future trials primarily designed to investigate the effects of antihypertensive agents on impaired cognition are needed.


2013 ◽  
Vol 7 (4) ◽  
pp. 397-402
Author(s):  
Francisco Souza do Carmo ◽  
Sueli Luciano Pires ◽  
Milton Luiz Gorzoni ◽  
Luiz Antonio Miorin

ABSTRACT Cognitive impairment has been associated with several diseases and organic disturbances but few studies have explored the relationship between renal function and cognition. Objective: The aim of this study was to compare the renal function of elderly patients with and without Alzheimer's disease, and to identify potential associated comorbidities, as well as the presence of microalbuminuria. Methods: A group of 60 patients with dementia syndrome and probable Alzheimer's disease, and 20 patients without dementias, followed at the Geriatric outpatient unit of the Santa Casa de São Paulo Hospital, were selected for this study. Results: The results showed that the groups studied differed in terms of age, gender and Mini-Mental State Exam score, but no statistical difference was found for the presence of comorbidities (diabetes mellitus, dyslipidemia and systemic arterial hypertension). A significant difference in estimated creatinine clearance was observed between the two groups, with the Alzheimer's disease patients presenting significantly lower values than control subjects. Similarly, analysis of a portion of the two groups for the presence of microalbuminuria revealed a statistically significant difference between the two groups. Conclusion: The study conclusions were that patients with Alzheimer's disease had lower glomerular filtration and a higher incidence of microalbuminuria, yet without having more classic risk factors for Alzheimer's disease such as systemic arterial hypertension, diabetes mellitus or dyslipidemia.


2021 ◽  
Vol 15 ◽  
Author(s):  
Qi Wang ◽  
Siwei Chen ◽  
He Wang ◽  
Luzeng Chen ◽  
Yongan Sun ◽  
...  

Alzheimer's disease (AD) is a neurodegenerative disease that commonly affects the elderly; early diagnosis and timely treatment are very important to delay the course of the disease. In the past, most brain regions related to AD were identified based on imaging methods, and only some atrophic brain regions could be identified. In this work, the authors used mathematical models to identify the potential brain regions related to AD. In this study, 20 patients with AD and 13 healthy controls (non-AD) were recruited by the neurology outpatient department or the neurology ward of Peking University First Hospital from September 2017 to March 2019. First, diffusion tensor imaging (DTI) was used to construct the brain structural network. Next, the authors set a new local feature index 2hop-connectivity to measure the correlation between different regions. Compared with the traditional graph theory index, 2hop-connectivity exploits the higher-order information of the graph structure. And for this purpose, the authors proposed a novel algorithm called 2hopRWR to measure 2hop-connectivity. Then, a new index global feature score (GFS) based on a global feature was proposed by combing five local features, namely degree centrality, betweenness centrality, closeness centrality, the number of maximal cliques, and 2hop-connectivity, to judge which brain regions are related to AD. As a result, the top ten brain regions identified using the GFS scoring difference between the AD and the non-AD groups were associated to AD by literature verification. The results of the literature validation comparing GFS with the local features showed that GFS was superior to individual local features. Finally, the results of the canonical correlation analysis showed that the GFS was significantly correlated with the scores of the Mini-Mental State Examination (MMSE) scale and the Montreal Cognitive Assessment (MoCA) scale. Therefore, the authors believe the GFS can also be used as a new biomarker to assist in diagnosis and objective monitoring of disease progression. Besides, the method proposed in this paper can be used as a differential network analysis method for network analysis in other domains.


2010 ◽  
Vol 4 (4) ◽  
pp. 346-352 ◽  
Author(s):  
Anita de Paula Eduardo Garavello ◽  
Regina Miksian Magaldi ◽  
Sérgio Márcio Pacheco Paschoal ◽  
Wilson Jacob Filho

Abstract There is no consensus in the medical literature about the impact of depressive symptoms on the evolution of Alzheimer's disease (AD). Objective: To compare the evolution of AD patients, with and without depressive symptoms, in terms of cognition, functionality and caregiver stress. Methods: The study entailed 2 stages: an initial retrospective stage involving review of medical charts of patients with mild and moderate AD. Patients were divided according to the presence or absence of depressive symptoms, defined by medical interview and questions on depressed mood from the CAMDEX (Cambridge Examination for Mental Disorders of the Elderly) and Neuropsychiatric Inventory (NPI). Twenty-nine patients were evaluated, 37.9% with depression (Group D+) and 62.1% without depression (Group D-). The groups were compared regarding demographic and medical characteristics, cognitive and functional performance, presence of apathy as a separate symptom, and caregiver stress, using standardized tests and questionnaires. In the second transversal step, the same tools were reapplied after 2 to 4 years of follow-up, and evolution for the two groups was compared. Results: The two groups were highly homogeneous in demographic and clinic characteristics, as well as in length of follow-up, and presented no significant difference in cognitive or functional evaluation at the time of diagnoses or after follow-up. Only caregiver stress was greater in Group D+ at the two time points (p<0.001). Conclusions: No differences in the evolution of AD patients with or without depressive symptoms were evident. Nevertheless, these symptoms were associated to emotional burden of caregivers.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Jessica Hammond ◽  
Barbara A. Maher ◽  
Imad A. M. Ahmed ◽  
David Allsop

AbstractThe presence of magnetic nanoparticles (MNPs) in the human brain was attributed until recently to endogenous formation; associated with a putative navigational sense, or with pathological mishandling of brain iron within senile plaques. Conversely, an exogenous, high-temperature source of brain MNPs has been newly identified, based on their variable sizes/concentrations, rounded shapes/surface crystallites, and co-association with non-physiological metals (e.g., platinum, cobalt). Here, we examined the concentration and regional distribution of brain magnetite/maghemite, by magnetic remanence measurements of 147 samples of fresh/frozen tissues, from Alzheimer’s disease (AD) and pathologically-unremarkable brains (80–98 years at death) from the Manchester Brain Bank (MBB), UK. The magnetite/maghemite concentrations varied between individual cases, and different brain regions, with no significant difference between the AD and non-AD cases. Similarly, all the elderly MBB brains contain varying concentrations of non-physiological metals (e.g. lead, cerium), suggesting universal incursion of environmentally-sourced particles, likely across the geriatric blood–brain barrier (BBB). Cerebellar Manchester samples contained significantly lower (~ 9×) ferrimagnetic content compared with those from a young (29 years ave.), neurologically-damaged Mexico City cohort. Investigation of younger, variably-exposed cohorts, prior to loss of BBB integrity, seems essential to understand early brain impacts of exposure to exogenous magnetite/maghemite and other metal-rich pollution particles.


2020 ◽  
Vol 6 (5) ◽  
pp. 1-7
Author(s):  
Chinonye A Maduagwuna ◽  

Study background: Chronic neuroinflammation is a common emerging hallmark of several neurodegenerative diseases. Alzheimer’s Disease (AD) is the most common cause of dementia among the elderly and is characterized by loss of memory and other cognitive functions.


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