Literature DB >> 36068470

Pharmacogenomics of Alzheimer's Disease: Novel Strategies for Drug Utilization and Development.

Ramón Cacabelos1, Vinogran Naidoo2, Olaia Martínez-Iglesias3, Lola Corzo4, Natalia Cacabelos5, Rocío Pego6, Juan C Carril7.   

Abstract

Alzheimer's disease (AD) is a priority health problem in developed countries with a high cost to society. Approximately 20% of direct costs are associated with pharmacological treatment. Over 90% of patients require multifactorial treatments, with risk of adverse drug reactions (ADRs) and drug-drug interactions (DDIs) for the treatment of concomitant diseases such as hypertension (>25%), obesity (>70%), diabetes mellitus type 2 (>25%), hypercholesterolemia (40%), hypertriglyceridemia (20%), metabolic syndrome (20%), hepatobiliary disorder (15%), endocrine/metabolic disorders (>20%), cardiovascular disorder (40%), cerebrovascular disorder (60-90%), neuropsychiatric disorders (60-90%), and cancer (10%).For the past decades, pharmacological studies in search of potential treatments for AD focused on the following categories: neurotransmitter enhancers (11.38%), multitarget drugs (2.45%), anti-amyloid agents (13.30%), anti-tau agents (2.03%), natural products and derivatives (25.58%), novel synthetic drugs (8.13%), novel targets (5.66%), repository drugs (11.77%), anti-inflammatory drugs (1.20%), neuroprotective peptides (1.25%), stem cell therapy (1.85%), nanocarriers/nanotherapeutics (1.52%), and other compounds (<1%).Pharmacogenetic studies have shown that the therapeutic response to drugs in AD is genotype-specific in close association with the gene clusters that constitute the pharmacogenetic machinery (pathogenic, mechanistic, metabolic, transporter, pleiotropic genes) under the regulatory control of epigenetic mechanisms (DNA methylation, histone/chromatin remodeling, microRNA regulation). Most AD patients (>60%) are carriers of over ten pathogenic genes. The genes that most frequently (>50%) accumulate pathogenic variants in the same AD case are A2M (54.38%), ACE (78.94%), BIN1 (57.89%), CLU (63.15%), CPZ (63.15%), LHFPL6 (52.63%), MS4A4E (50.87%), MS4A6A (63.15%), PICALM (54.38%), PRNP (80.7059), and PSEN1 (77.19%). There is also an accumulation of 15 to 26 defective pharmagenes in approximately 85% of AD patients. About 50% of AD patients are carriers of at least 20 mutant pharmagenes, and over 80% are deficient metabolizers for the most common drugs, which are metabolized via the CYP2D6, CYP2C9, CYP2C19, and CYP3A4/5 enzymes.The implementation of pharmacogenetics can help optimize drug development and the limited therapeutic resources available to treat AD, and personalize the use of anti-dementia drugs in combination with other medications for the treatment of concomitant disorders.
© 2022. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Alzheimer’s disease; Anti-dementia drugs; Cerebrovascular genomics; Concomitant disorders; Drug development; Neurodegenerative genomics; Pathogenic genes; Pharmacoepigenetics; Pharmacogenomics; Phenotypic profile

Mesh:

Substances:

Year:  2022        PMID: 36068470     DOI: 10.1007/978-1-0716-2573-6_13

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  199 in total

Review 1.  Pharmacogenomics of Alzheimer's disease: novel therapeutic strategies for drug development.

Authors:  Ramón Cacabelos; Pablo Cacabelos; Clara Torrellas; Iván Tellado; Juan C Carril
Journal:  Methods Mol Biol       Date:  2014

Review 2.  Preclinical Alzheimer's disease: Definition, natural history, and diagnostic criteria.

Authors:  Bruno Dubois; Harald Hampel; Howard H Feldman; Philip Scheltens; Paul Aisen; Sandrine Andrieu; Hovagim Bakardjian; Habib Benali; Lars Bertram; Kaj Blennow; Karl Broich; Enrica Cavedo; Sebastian Crutch; Jean-François Dartigues; Charles Duyckaerts; Stéphane Epelbaum; Giovanni B Frisoni; Serge Gauthier; Remy Genthon; Alida A Gouw; Marie-Odile Habert; David M Holtzman; Miia Kivipelto; Simone Lista; José-Luis Molinuevo; Sid E O'Bryant; Gil D Rabinovici; Christopher Rowe; Stephen Salloway; Lon S Schneider; Reisa Sperling; Marc Teichmann; Maria C Carrillo; Jeffrey Cummings; Cliff R Jack
Journal:  Alzheimers Dement       Date:  2016-03       Impact factor: 21.566

Review 3.  Risk factors associated with the onset and progression of Alzheimer's disease: A systematic review of the evidence.

Authors:  Mona Hersi; Brittany Irvine; Pallavi Gupta; James Gomes; Nicholas Birkett; Daniel Krewski
Journal:  Neurotoxicology       Date:  2017-03-29       Impact factor: 4.294

Review 4.  Diagnosis and Management of Dementia: Review.

Authors:  Zoe Arvanitakis; Raj C Shah; David A Bennett
Journal:  JAMA       Date:  2019-10-22       Impact factor: 56.272

5.  The economic cost of dementia: A systematic review.

Authors:  David Cantarero-Prieto; Paloma Lanza Leon; Carla Blazquez-Fernandez; Pascual Sanchez Juan; Carmen Sarabia Cobo
Journal:  Dementia (London)       Date:  2019-03-25

Review 6.  Alzheimer's disease.

Authors:  Colin L Masters; Randall Bateman; Kaj Blennow; Christopher C Rowe; Reisa A Sperling; Jeffrey L Cummings
Journal:  Nat Rev Dis Primers       Date:  2015-10-15       Impact factor: 52.329

7.  Prevalence of dementia and probable senile dementia of the Alzheimer type in the Framingham Study.

Authors:  D L Bachman; P A Wolf; R Linn; J E Knoefel; J Cobb; A Belanger; R B D'Agostino; L R White
Journal:  Neurology       Date:  1992-01       Impact factor: 9.910

8.  Molecular genetics of Alzheimer's disease and aging.

Authors:  Ramon Cacabelos; Lucia Fernandez-Novoa; Valter Lombardi; Yasuhiko Kubota; Masatoshi Takeda
Journal:  Methods Find Exp Clin Pharmacol       Date:  2005-07

Review 9.  Synergy between amyloid-β and tau in Alzheimer's disease.

Authors:  Marc Aurel Busche; Bradley T Hyman
Journal:  Nat Neurosci       Date:  2020-08-10       Impact factor: 24.884

10.  The estimated cost of dementia in Japan, the most aged society in the world.

Authors:  Mitsuhiro Sado; Akira Ninomiya; Ryo Shikimoto; Baku Ikeda; Toshiaki Baba; Kimio Yoshimura; Masaru Mimura
Journal:  PLoS One       Date:  2018-11-12       Impact factor: 3.240

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