Literature DB >> 23579031

Alzheimer's disease: an evolutionary approach.

Enric Bufill1, Rafael Blesa2, Jordi Augustí3.   

Abstract

Alzheimer's disease (AD) is a complex disease associated with advanced age whose causes are still not fully known. Approaching the disease from an evolutionary standpoint may help in understanding the root cause of human vulnerability to the disease. AD is very common in humans and extremely uncommon in other mammals, which suggests that the genetic changes underlying the alterations in cerebral structure or function that have taken place over the course of the evolution of the genus Homo have left specific neurons in the human brain particularly vulnerable to factors which trigger the disease. Most of the genes whose mutation leads to AD are involved in synaptic plasticity. Evidence has also been found relating AD to neuronal oxidative stress. Neurons in certain association areas of the human brain retain juvenile characteristics into adulthood, such as the increased expression of genes related to synaptic activity and plasticity, incomplete myelination and elevated aerobic metabolism, which can cause an increase in oxidative stress in these neurons. Oxidative stress can cause myelin breakdown and epigenetic changes in the promoter region of genes related to synaptic plasticity, reducing their expression. These changes may in some cases induce hyperphosphorylation of tau and β-amyloid deposits, which are characteristic of AD. The adaptation of humans to the cognitive niche probably required an increase in synaptic plasticity and activity and neuronal metabolism in neurons in areas related to certain cognitive functions such as autobiographical memory, social interaction and planning. The cost of these changes may have been the brain's increased vulnerability to factors which can trigger AD. This vulnerability may have resulted from the evolutionary legacies that have occurred over the course of the evolution of the human brain, making AD a possible example of antagonistic pleiotropy. The evolutionary approach allows apparently unrelated data from different disciplines to be combined in a manner that may lead to an improved understanding of complex diseases such as Alzheimer's.

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Year:  2013        PMID: 23579031     DOI: 10.4436/jass.91001

Source DB:  PubMed          Journal:  J Anthropol Sci        ISSN: 1827-4765


  7 in total

1.  The Roots of Alzheimer's Disease: Are High-Expanding Cortical Areas Preferentially Targeted?†.

Authors:  Anders M Fjell; Inge K Amlien; Markus H Sneve; Håkon Grydeland; Christian K Tamnes; Tristan A Chaplin; Marcello G P Rosa; Kristine B Walhovd
Journal:  Cereb Cortex       Date:  2014-03-21       Impact factor: 5.357

2.  An Analytic Solution to the Computation of Power and Sample Size for Genetic Association Studies under a Pleiotropic Mode of Inheritance.

Authors:  Derek Gordon; Douglas Londono; Payal Patel; Wonkuk Kim; Stephen J Finch; Gary A Heiman
Journal:  Hum Hered       Date:  2017-03-18       Impact factor: 0.444

Review 3.  What is normal in normal aging? Effects of aging, amyloid and Alzheimer's disease on the cerebral cortex and the hippocampus.

Authors:  Anders M Fjell; Linda McEvoy; Dominic Holland; Anders M Dale; Kristine B Walhovd
Journal:  Prog Neurobiol       Date:  2014-02-16       Impact factor: 11.685

Review 4.  Integrated phylogeny of the human brain and pathobiology of Alzheimer's disease: A unifying hypothesis.

Authors:  Saak V Ovsepian; Valerie B O'Leary; Cyril Hoschl; Laszlo Zaborszky
Journal:  Neurosci Lett       Date:  2021-04-20       Impact factor: 3.197

Review 5.  Functional craniology and brain evolution: from paleontology to biomedicine.

Authors:  Emiliano Bruner; José Manuel de la Cuétara; Michael Masters; Hideki Amano; Naomichi Ogihara
Journal:  Front Neuroanat       Date:  2014-04-02       Impact factor: 3.856

Review 6.  Epigenetic regulation of synaptic disorder in Alzheimer's disease.

Authors:  Zhiying Chen; Moxin Wu; Qin Lai; Weixin Zhou; Xiaoqing Wen; Xiaoping Yin
Journal:  Front Neurosci       Date:  2022-08-03       Impact factor: 5.152

7.  Body mass index related to executive function and hippocampal subregion volume in subjective cognitive decline.

Authors:  Ruilin Chen; Guiyan Cai; Shurui Xu; Qianqian Sun; Jia Luo; Yajun Wang; Ming Li; Hui Lin; Jiao Liu
Journal:  Front Aging Neurosci       Date:  2022-08-17       Impact factor: 5.702

  7 in total

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