| Title |
Pathology supported genetic testing and treatment of cardiovascular disease in middle age for prevention of Alzheimer’s disease
|
|---|---|
| Published in |
Metabolic Brain Disease, April 2012
|
| DOI | 10.1007/s11011-012-9296-8 |
| Pubmed ID | |
| Authors |
Maritha J. Kotze, Susan J. van Rensburg |
| Abstract |
Chronic, multi-factorial conditions caused by a complex interaction between genetic and environmental risk factors frequently share common disease mechanisms, as evidenced by an overlap between genetic risk factors for cardiovascular disease (CVD) and Alzheimer's disease (AD). Single nucleotide polymorphisms (SNPs) in several genes including ApoE, MTHFR, HFE and FTO are known to increase the risk of both conditions. The E4 allele of the ApoE polymorphism is the most extensively studied risk factor for AD and increases the risk of coronary heart disease by approximately 40%. It furthermore displays differential therapeutic responses with use of cholesterol-lowering statins and acetylcholinesterase inhibitors, which may also be due to variation in the CYP2D6 gene in some patients. Disease expression may be triggered by gene-environment interaction causing conversion of minor metabolic abnormalities into major brain disease due to cumulative risk. A growing body of evidence supports the assessment and treatment of CVD risk factors in midlife as a preventable cause of cognitive decline, morbidity and mortality in old age. In this review, the concept of pathology supported genetic testing (PSGT) for CVD is described in this context. PSGT combines DNA testing with biochemical measurements to determine gene expression and to monitor response to treatment. The aim is to diagnose treatable disease subtypes of complex disorders, facilitate prevention of cumulative risk and formulate intervention strategies guided from the genetic background. CVD provides a model to address the lifestyle link in most chronic diseases with a genetic component. Similar preventative measures would apply for optimisation of heart and brain health. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Algeria | 1 | 1% |
| Unknown | 97 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 16 | 16% |
| Student > Bachelor | 16 | 16% |
| Researcher | 10 | 10% |
| Student > Ph. D. Student | 10 | 10% |
| Student > Doctoral Student | 8 | 8% |
| Other | 15 | 15% |
| Unknown | 23 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 27 | 28% |
| Biochemistry, Genetics and Molecular Biology | 9 | 9% |
| Agricultural and Biological Sciences | 9 | 9% |
| Psychology | 7 | 7% |
| Nursing and Health Professions | 5 | 5% |
| Other | 14 | 14% |
| Unknown | 27 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 04 May 2012.
All research outputs
#18,305,773
of 22,664,644 outputs
Outputs from Metabolic Brain Disease
#708
of 1,050 outputs
Outputs of similar age
#124,876
of 161,913 outputs
Outputs of similar age from Metabolic Brain Disease
#13
of 17 outputs
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