Integrative biological analysis for neuropsychopharmacology
(2014) In Neuropsychopharmacology 39(1). p.5-23- Abstract
Although advances in psychotherapy have been made in recent years, drug discovery for brain diseases such as schizophrenia and mood disorders has stagnated. The need for new biomarkers and validated therapeutic targets in the field of neuropsychopharmacology is widely unmet. The brain is the most complex part of human anatomy from the standpoint of number and types of cells, their interconnections, and circuitry. To better meet patient needs, improved methods to approach brain studies by understanding functional networks that interact with the genome are being developed. The integrated biological approaches--proteomics, transcriptomics, metabolomics, and glycomics--have a strong record in several areas of biomedicine, including... (More)
Although advances in psychotherapy have been made in recent years, drug discovery for brain diseases such as schizophrenia and mood disorders has stagnated. The need for new biomarkers and validated therapeutic targets in the field of neuropsychopharmacology is widely unmet. The brain is the most complex part of human anatomy from the standpoint of number and types of cells, their interconnections, and circuitry. To better meet patient needs, improved methods to approach brain studies by understanding functional networks that interact with the genome are being developed. The integrated biological approaches--proteomics, transcriptomics, metabolomics, and glycomics--have a strong record in several areas of biomedicine, including neurochemistry and neuro-oncology. Published applications of an integrated approach to projects of neurological, psychiatric, and pharmacological natures are still few but show promise to provide deep biological knowledge derived from cells, animal models, and clinical materials. Future studies that yield insights based on integrated analyses promise to deliver new therapeutic targets and biomarkers for personalized medicine.
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- author
- Emmett, Mark R ; Kroes, Roger A ; Moskal, Joseph R ; Conrad, Charles A. ; Priebe, Waldemar ; Laezza, Fernanda ; Meyer-Baese, Anke and Nilsson, Carol L LU
- publishing date
- 2014-01
- type
- Contribution to journal
- publication status
- published
- keywords
- Animals, Biomarkers, Gene Expression Profiling, Glycomics, Humans, Metabolomics, Models, Biological, Neuropharmacology, Proteomics, Psychopharmacology, Systems Biology, Journal Article, Research Support, N.I.H., Extramural, Review
- in
- Neuropsychopharmacology
- volume
- 39
- issue
- 1
- pages
- 19 pages
- publisher
- Elsevier
- external identifiers
-
- scopus:84890501825
- pmid:23800968
- ISSN
- 1740-634X
- DOI
- 10.1038/npp.2013.156
- language
- English
- LU publication?
- no
- id
- 657e31c8-417d-4fb2-9def-811fe65d6ef9
- date added to LUP
- 2017-05-16 10:27:56
- date last changed
- 2024-01-13 20:57:07
@article{657e31c8-417d-4fb2-9def-811fe65d6ef9,
abstract = {{<p>Although advances in psychotherapy have been made in recent years, drug discovery for brain diseases such as schizophrenia and mood disorders has stagnated. The need for new biomarkers and validated therapeutic targets in the field of neuropsychopharmacology is widely unmet. The brain is the most complex part of human anatomy from the standpoint of number and types of cells, their interconnections, and circuitry. To better meet patient needs, improved methods to approach brain studies by understanding functional networks that interact with the genome are being developed. The integrated biological approaches--proteomics, transcriptomics, metabolomics, and glycomics--have a strong record in several areas of biomedicine, including neurochemistry and neuro-oncology. Published applications of an integrated approach to projects of neurological, psychiatric, and pharmacological natures are still few but show promise to provide deep biological knowledge derived from cells, animal models, and clinical materials. Future studies that yield insights based on integrated analyses promise to deliver new therapeutic targets and biomarkers for personalized medicine.</p>}},
author = {{Emmett, Mark R and Kroes, Roger A and Moskal, Joseph R and Conrad, Charles A. and Priebe, Waldemar and Laezza, Fernanda and Meyer-Baese, Anke and Nilsson, Carol L}},
issn = {{1740-634X}},
keywords = {{Animals; Biomarkers; Gene Expression Profiling; Glycomics; Humans; Metabolomics; Models, Biological; Neuropharmacology; Proteomics; Psychopharmacology; Systems Biology; Journal Article; Research Support, N.I.H., Extramural; Review}},
language = {{eng}},
number = {{1}},
pages = {{5--23}},
publisher = {{Elsevier}},
series = {{Neuropsychopharmacology}},
title = {{Integrative biological analysis for neuropsychopharmacology}},
url = {{http://dx.doi.org/10.1038/npp.2013.156}},
doi = {{10.1038/npp.2013.156}},
volume = {{39}},
year = {{2014}},
}