The Panomics Approach in Neurodegenerative Disorders.


Journal

Current medicinal chemistry
ISSN: 1875-533X
Titre abrégé: Curr Med Chem
Pays: United Arab Emirates
ID NLM: 9440157

Informations de publication

Date de publication:
2019
Historique:
received: 25 04 2016
revised: 15 05 2017
accepted: 15 05 2017
pubmed: 8 7 2017
medline: 16 7 2019
entrez: 8 7 2017
Statut: ppublish

Résumé

The molecular genetic technologies revolutionized the diagnostics of many disorders. Thanks to the new molecular techniques and the rapid improvement of the information technologies the number of mendelien inherited disorders has increased rapidly in the last five years. The omics era brought radical changes in the understanding of complex disorders and the underlying pathomechanisms. However, in most complex disorders the genome wide association studies could not clarify the genetic background even for disorders where a very strong heritability had been observed. In this paper the changing concept of the neurodegenerative disorders is discussed. The traditional classification of these disorders was purely based on clinical symptoms and morphological signs in the last century. Identifying the signature lesions of various neurodegenerative disorders may reveal a common pathological pathway in these disorders. New neuroimaging methods provided additional tools to assess pathological pathways in vivo already in the early stages of the diseases. Visualizing in vivo amyloid deposits and neuroinflammation improved our understanding of their role in various neurodegenerative disorders. Genetics may be the most precise way to identify the background of these disorders. However, there is only limited number of cases where true association can be proved between the disorder and the genetic mutations. Most of the neurodegenerative disorders seem to be multifactorial and cannot be traced back to one single cause. In conclusion, shifting from a classification based on symptomatology only to a modern multidisciplinary approach, based on the constantly evolving panomics findings, would improve our understanding of neurodegenerative diseases and could be the basis of novel therapeutic research.

Sections du résumé

BACKGROUND BACKGROUND
The molecular genetic technologies revolutionized the diagnostics of many disorders. Thanks to the new molecular techniques and the rapid improvement of the information technologies the number of mendelien inherited disorders has increased rapidly in the last five years. The omics era brought radical changes in the understanding of complex disorders and the underlying pathomechanisms. However, in most complex disorders the genome wide association studies could not clarify the genetic background even for disorders where a very strong heritability had been observed.
OBJECTIVE OBJECTIVE
In this paper the changing concept of the neurodegenerative disorders is discussed. The traditional classification of these disorders was purely based on clinical symptoms and morphological signs in the last century. Identifying the signature lesions of various neurodegenerative disorders may reveal a common pathological pathway in these disorders. New neuroimaging methods provided additional tools to assess pathological pathways in vivo already in the early stages of the diseases. Visualizing in vivo amyloid deposits and neuroinflammation improved our understanding of their role in various neurodegenerative disorders. Genetics may be the most precise way to identify the background of these disorders. However, there is only limited number of cases where true association can be proved between the disorder and the genetic mutations. Most of the neurodegenerative disorders seem to be multifactorial and cannot be traced back to one single cause.
CONCLUSION CONCLUSIONS
In conclusion, shifting from a classification based on symptomatology only to a modern multidisciplinary approach, based on the constantly evolving panomics findings, would improve our understanding of neurodegenerative diseases and could be the basis of novel therapeutic research.

Identifiants

pubmed: 28685677
pii: CMC-EPUB-84516
doi: 10.2174/0929867324666170705120038
doi:

Substances chimiques

Amyloid 0

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

1712-1720

Informations de copyright

Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.

Auteurs

Balazs Szatmari (B)

Medical Division, Gedeon Richter Plc., Budapest, Hungary.

Peter Balicza (P)

Institute of Genomic Medicine and Rare Disorders, Semmelweis University, Budapest, Hungary.

Gyorgy Nemeth (G)

Medical Division, Gedeon Richter Plc., Budapest, Hungary.

Maria Judit Molnar (MJ)

Institute of Genomic Medicine and Rare Disorders, Semmelweis University, Budapest, Hungary.

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Classifications MeSH