Too narrow and too broad: Differentiating late-onset dementia from its historical entanglement with Alzheimer’s disease

Background: Presenilin-1 (PSEN-1) is a component of the γ-secretase complex involved in β-amyloid Precursor Protein (AβPP) processing. Usually, Alzheimer’s disease (AD)-linked mutations in the PSEN-1 gene lead to the early onset and increase the production of the aggregation-prone peptide Aβ42. However, the PSEN-1 E318G variant has an unclear pathogenic role and is recently reported as a genetic risk factor for AD. In particular, E318G variant presence correlated with increased cerebrospinal fluid (CSF) levels of Total Tau (t-tau) and Phosphorylated Tau (p-tau). Objective: We describe a large Italian family, which we followed from January 2003 to January 2018, with the late-onset AD and the E318G variant, with the aim of assessing E318G-associated CSF or plasma biochemical changes in biomarkers of dementia. Method: CSF Aβ42, t-tau and p-tau, plasma Aβ42 and Aβ40 were assessed by ELISA tests, while CSF amyloid peptides profile was investigated by mass spectrometry. Results: We did not find any changes in CSF biochemical markers (Aβ42, t-tau, p-tau and amyloid peptides) of asymptomatic E318G carriers in 2010 and 2012, but plasma Aβ40 was increased at the same times. From 2003 to 2018, no asymptomatic E318G carrier developed AD. Conclusion: Our follow-up of this family may help elucidate E318G’s role in AD and globally points to a null effect of this variant.

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Familial Patterns of Risk in Very Late-Onset Alzheimer's Disease

PsycEXTRA Dataset ◽

10.1037/e334202004-004 ◽

2003 ◽

Author(s):

J. M. Silverman ◽

C. J. Smith ◽

D. B. Marin ◽

R. C. Mohs ◽

C. B. Propper

Keyword(s):

Alzheimer’S Disease ◽

Alzheimer's Disease ◽

Late Onset ◽

Familial Patterns

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Exploring the Role of Aggregated Proteomes in the Pathogenesis of Alzheimer’s Disease

Current Protein and Peptide Science ◽

10.2174/1389203721666200921152246 ◽

2020 ◽

Vol 21 (12) ◽

pp. 1164-1173

Author(s):

Siju Ellickal Narayanan ◽

Nikhila Sekhar ◽

Rajalakshmi Ganesan Rajamma ◽

Akash Marathakam ◽

Abdullah Al Mamun ◽

...

Keyword(s):

Alzheimer’S Disease ◽

Alzheimer's Disease ◽

Amyloid Precursor Protein ◽

Early Onset ◽

Late Onset ◽

Precursor Protein ◽

Brain Disorder ◽

Amyloid Aβ ◽

T Tau

: Alzheimer’s disease (AD) is a progressive brain disorder and one of the most common causes of dementia and death. AD can be of two types; early-onset and late-onset, where late-onset AD occurs sporadically while early-onset AD results from a mutation in any of the three genes that include amyloid precursor protein (APP), presenilin 1 (PSEN 1) and presenilin 2 (PSEN 2). Biologically, AD is defined by the presence of the distinct neuropathological profile that consists of the extracellular β-amyloid (Aβ) deposition in the form of diffuse neuritic plaques, intraneuronal neurofibrillary tangles (NFTs) and neuropil threads; in dystrophic neuritis, consisting of aggregated hyperphosphorylated tau protein. Elevated levels of (Aβ), total tau (t-tau) and phosphorylated tau (ptau) in cerebrospinal fluid (CSF) have become an important biomarker for the identification of this neurodegenerative disease. The aggregation of Aβ peptide derived from amyloid precursor protein initiates a series of events that involve inflammation, tau hyperphosphorylation and its deposition, in addition to synaptic dysfunction and neurodegeneration, ultimately resulting in dementia. The current review focuses on the role of proteomes in the pathogenesis of AD.

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Molecular Genetics of Early- and Late-Onset Alzheimer’s Disease

Current Gene Therapy ◽

10.2174/1566523220666201123112822 ◽

2020 ◽

Vol 20 ◽

Author(s):

Md. Sahab Uddin ◽

Sharifa Hasana ◽

Md. Farhad Hossain ◽

Md. Siddiqul Islam ◽

Tapan Behl ◽

...

Keyword(s):

Alzheimer’S Disease ◽

Alzheimer's Disease ◽

Massively Parallel Sequencing ◽

Late Onset ◽

Current Knowledge ◽

The Elderly ◽

Apoe Ε4 ◽

Sequencing Technologies ◽

Genetic Components ◽

Ε4 Allele

: Alzheimer’s disease (AD) is the most common form of dementia in the elderly and this complex disorder is associated with environmental as well as genetic components. Early-onset AD (EOAD) and late-onset AD (LOAD, more common) are major identified types of AD. The genetics of EOAD is extensively understood with three genes variants such as APP, PSEN1, and PSEN2 leading to disease. On the other hand, some common alleles including APOE are effectively associated with LOAD identified but the genetics of LOAD is not clear to date. It has been accounted that about 5% to 10% of EOAD patients can be explained through mutations in the three familiar genes of EOAD. The APOE ε4 allele augmented the severity of EOAD risk in carriers, and APOE ε4 allele was considered as a hallmark of EOAD. A great number of EOAD patients, who are not genetically explained, indicate that it is not possible to identify disease- triggering genes yet. Although several genes have been identified through using the technology of next-generation sequencing in EOAD families including SORL1, TYROBP, and NOTCH3. A number of TYROBP variants were identified through exome sequencing in EOAD patients and these TYROBP variants may increase the pathogenesis of EOAD. The existence of ε4 allele is responsible for increasing the severity of EOAD. However, several ε4 allele carriers live into their 90s that propose the presence of other LOAD genetic as well as environmental risk factors that are not identified yet. It is urgent to find out missing genetics of EOAD and LOAD etiology to discover new potential genetics facets which will assist to understand the pathological mechanism of AD. These investigations should contribute to developing a new therapeutic candidate for alleviating, reversing and preventing AD. This article based on current knowledge represents the overview of the susceptible genes of EOAD, and LOAD. Next, we represent the probable molecular mechanism which might elucidate the genetic etiology of AD and highlight the role of massively parallel sequencing technologies for novel gene discoveries.

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Alzheimer’s Disease and Retinal Degeneration: A Glimpse at Essential Trace Metals in Ocular Fluids and Tissues

Current Alzheimer Research ◽

10.2174/1567205016666191023114015 ◽

2020 ◽

Vol 16 (12) ◽

pp. 1073-1083 ◽

Cited By ~ 3

Author(s):

Alessandra Micera ◽

Luca Bruno ◽

Andrea Cacciamani ◽

Mauro Rongioletti ◽

Rosanna Squitti

Keyword(s):

Alzheimer’S Disease ◽

Alzheimer's Disease ◽

Trace Metals ◽

Late Onset ◽

Current Knowledge ◽

Pathological Condition ◽

Retinal Disease ◽

Cellular Aging ◽

Research Strategies ◽

Aged People

Background: Life expectancy is increasing all over the world, although neurodegenerative disorders might drastically affect the individual activity of aged people. Of those, Alzheimer’s Disease (AD) is one of the most social-cost age-linked diseases of industrialized countries. To date, retinal diseases seem to be more common in the developing world and characterize principally aged people. Agerelated Macular Degeneration (AMD) is a late-onset, neurodegenerative retinal disease that shares several clinical and pathological features with AD, including stress stimuli such as oxidative stress, inflammation and amyloid formations. Method: In both diseases, the detrimental intra/extra-cellular deposits have many similarities. Aging, hypercholesterolemia, hypertension, obesity, arteriosclerosis and smoking are risk factors to develop both diseases. Cellular aging routes have similar organelle and signaling patterns in retina and brain. The possibility to find out new research strategies represent a step forward to disclose potential treatment for both of them. Essential trace metals play critical roles in both physiological and pathological condition of retina, optic nerve and brain, by influencing metabolic processes chiefly upon complex multifactorial pathogenesis. Conclusion: Hence, this review addresses current knowledge about some up-to-date investigated essential trace metals associated with AD and AMD. Changes in the levels of systemic and ocular fluid essential metals might reflect the early stages of AMD, possibly disclosing neurodegeneration pathways shared with AD, which might open to potential early detection.

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Pharmacogenetics of Angiotensin-Converting Enzyme Inhibitors in Patients with Alzheimer's Disease Dementia

Current Alzheimer Research ◽

10.2174/1567205014666171016101816 ◽

2018 ◽

Vol 15 (4) ◽

pp. 386-398 ◽

Cited By ~ 22

Author(s):

Fabricio Ferreira de Oliveira ◽

Elizabeth Suchi Chen ◽

Marilia Cardoso Smith ◽

Paulo Henrique Ferreira Bertolucci

Keyword(s):

Alzheimer’S Disease ◽

Alzheimer's Disease ◽

Angiotensin Converting Enzyme ◽

Cognitive Decline ◽

Enzyme Inhibitors ◽

Late Onset ◽

Amyloid Β ◽

Converting Enzyme ◽

Converting Enzyme Inhibitors ◽

Alzheimer’S Disease Dementia

Background: While the angiotensin-converting enzyme degrades amyloid-β, angiotensinconverting enzyme inhibitors (ACEis) may slow cognitive decline by way of cholinergic effects, by increasing brain substance P and boosting the activity of neprilysin, and by modulating glucose homeostasis and augmenting the secretion of adipokines to enhance insulin sensitivity in patients with Alzheimer’s disease dementia (AD). We aimed to investigate whether ACE gene polymorphisms rs1800764 and rs4291 are associated with cognitive and functional change in patients with AD, while also taking APOE haplotypes and anti-hypertensive treatment with ACEis into account for stratification. Methods: Consecutive late-onset AD patients were screened with cognitive tests, while their caregivers were queried for functional and caregiver burden scores. Prospective pharmacogenetic correlations were estimated for one year, considering APOE and ACE genotypes and haplotypes, and treatment with ACEis. Results: For 193 patients, minor allele frequencies were 0.497 for rs1800764 – C (44.6% heterozygotes) and 0.345 for rs4291 – T (38.9% heterozygotes), both in Hardy-Weinberg equilibrium. Almost 94% of all patients used cholinesterase inhibitors, while 155 (80.3%) had arterial hypertension, and 124 used ACEis. No functional impacts were found regarding any genotypes or pharmacological treatment. Either for carriers of ACE haplotypes that included rs1800764 – T and rs4291 – A, or for APOE4- carriers of rs1800764 – T or rs4291 – T, ACEis slowed cognitive decline independently of blood pressure variations. APOE4+ carriers were not responsive to treatment with ACEis. Conclusion: ACEis may slow cognitive decline for patients with AD, more remarkably for APOE4- carriers of specific ACE genotypes.

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