How and when environmental agents and dietary factors affect the course of Alzheimer's disease: the "LEARn" model (latent early-life associated regulation) may explain the triggering of AD
- PMID: 17430250
- DOI: 10.2174/156720507780362164
How and when environmental agents and dietary factors affect the course of Alzheimer's disease: the "LEARn" model (latent early-life associated regulation) may explain the triggering of AD
Abstract
Alzheimer's disease (AD) is currently the most prominent form of dementia among the elderly. Although AD manifests in late adult life, it is not clear when the disease actually starts and how long the neuropathological processes take to develop AD. The major unresolved question is the timing and the nature of triggering leading to AD. Is it an early or developmental and/or late phenomenon and what are the factors that trigger the cascade of pathobiochemical processes? To explain the etiology of AD one should consider the neuropathological features, such as neuronal cell death, tau tangles, and amyloid plaque, and environmental factors associated with AD, such as diet, toxicological exposure, and hormonal factors. Current dominant theories of AD etiology are "protein-only", they attribute the cause of the disease directly to the activities of associated proteins once they have been produced; the major limitation is that protein aggregations occur "late in the game". Development and progression of AD has not been explained by protein-only models. In view of this limitation, we propose a "Latent Early-Life Associated Regulation" (LEARn) model, which postulates a latent expression of specific genes triggered at the developmental stage. According to this model, environmental agents (e.g., heavy metals), intrinsic factors (e.g., cytokines), and dietary factors (e.g., cholesterol) perturb gene regulation in a long-term fashion, beginning at early developmental stages; however, these perturbations do not have pathological results until significantly later in life. For example, such actions would perturb APP gene regulation at very early stage via its transcriptional machinery, leading to delayed overexpression of APP and subsequently of Abeta deposition. This model operates on the regulatory region (promoter) of the gene and by the effect of methylation at certain sites within the promoter of specific genes. Promoters tend to have both positive and negative regulatory elements, and promoter activity can be altered by changes in the primary DNA sequence and by epigenetic changes through mechanisms such as DNA methylation at CpG dinucleotides or oxidation of guanosine residues. The basis of the LEARn model is that environmental factors, including metals and dietary factors, operate by interfering the interaction of methylated CpG clusters with binding proteins, such as MeCP2 and SP1. The LEARn model may explain the etiology of AD and other neuropsychiatric and developmental disorders.
Similar articles
-
The LEARn model: an epigenetic explanation for idiopathic neurobiological diseases.Mol Psychiatry. 2009 Nov;14(11):992-1003. doi: 10.1038/mp.2009.82. Mol Psychiatry. 2009. PMID: 19851280 Free PMC article.
-
Early-life events may trigger biochemical pathways for Alzheimer's disease: the "LEARn" model.Biogerontology. 2008 Dec;9(6):375-9. doi: 10.1007/s10522-008-9162-6. Epub 2008 Jul 31. Biogerontology. 2008. PMID: 18668339 Free PMC article. Review.
-
Applying epigenetics to Alzheimer's disease via the latent early-life associated regulation (LEARn) model.Curr Alzheimer Res. 2012 Jun;9(5):589-99. doi: 10.2174/156720512800617955. Curr Alzheimer Res. 2012. PMID: 22300406 Review.
-
The "LEARn" (Latent Early-life Associated Regulation) model integrates environmental risk factors and the developmental basis of Alzheimer's disease, and proposes remedial steps.Exp Gerontol. 2010 Apr;45(4):291-6. doi: 10.1016/j.exger.2010.01.001. Epub 2010 Jan 11. Exp Gerontol. 2010. PMID: 20064601 Free PMC article.
-
Environmental risk factors and the developmental basis for Alzheimer's disease.Rev Neurosci. 2005;16(4):325-37. doi: 10.1515/revneuro.2005.16.4.325. Rev Neurosci. 2005. PMID: 16519009 Review.
Cited by
-
A 'phenotypic hangover': the predictive adaptive response and multigenerational effects of altered nutrition on the transcriptome of Drosophila melanogaster.Environ Epigenet. 2017 Dec 5;3(4):dvx019. doi: 10.1093/eep/dvx019. eCollection 2017 Oct. Environ Epigenet. 2017. PMID: 29492318 Free PMC article.
-
Identification of Dysregulated Genes for Late-Onset Alzheimer's Disease Using Gene Expression Data in Brain.J Alzheimers Dis Parkinsonism. 2020;10(6):498. Epub 2020 Oct 23. J Alzheimers Dis Parkinsonism. 2020. PMID: 33282526 Free PMC article.
-
Co-localization and distribution of cerebral APP and SP1 and its relationship to amyloidogenesis.J Alzheimers Dis. 2008 Feb;13(1):71-80. doi: 10.3233/jad-2008-13108. J Alzheimers Dis. 2008. PMID: 18334759 Free PMC article.
-
The LEARn model: an epigenetic explanation for idiopathic neurobiological diseases.Mol Psychiatry. 2009 Nov;14(11):992-1003. doi: 10.1038/mp.2009.82. Mol Psychiatry. 2009. PMID: 19851280 Free PMC article.
-
Celebrating the fifth year anniversary of current Alzheimer research.Curr Alzheimer Res. 2009 Feb;6(1):1-3. doi: 10.2174/156720509787313989. Curr Alzheimer Res. 2009. PMID: 19199869 Free PMC article. No abstract available.
Publication types
MeSH terms
Grants and funding
LinkOut - more resources
Full Text Sources
Medical