Literature DB >> 33725358

Proteomics for Target Identification in Psychiatric and Neurodegenerative Disorders.

André S L M Antunes1, Valéria de Almeida2, Fernanda Crunfli2, Victor C Carregari2, Daniel Martins-de-Souza2,3,4,5.   

Abstract

Psychiatric and neurodegenerative disorders such as schizophrenia (SCZ), Parkinson's disease (PD), and Alzheimer's disease (AD) continue to grow around the world with a high impact on health, social, and economic outcomes for the patient and society. Despite efforts, the etiology and pathophysiology of these disorders remain unclear. Omics technologies have contributed to the understanding of the molecular mechanisms that underlie these complex disorders and have suggested novel potential targets for treatment and diagnostics. Here, we have highlighted the unique and common pathways shared between SCZ, PD, and AD and highlight the main proteomic findings over the last 5 years using in vitro models, postmortem brain samples, and cerebrospinal fluid (CSF) or blood of patients. These studies have identified possible therapeutic targets and disease biomarkers. Further studies including target validation, the use of large sample sizes, and the integration of omics findings with bioinformatics tools are required to provide a better comprehension of pharmacological targets.

Entities:  

Keywords:  Alzheimer’s disease; Parkinson’s disease; Proteomics; Schizophrenia; Target identification

Mesh:

Substances:

Year:  2021        PMID: 33725358     DOI: 10.1007/978-3-030-55035-6_17

Source DB:  PubMed          Journal:  Adv Exp Med Biol        ISSN: 0065-2598            Impact factor:   2.622


  89 in total

1.  Opportunities and challenges in the discovery of new central nervous system drugs.

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Journal:  Ann N Y Acad Sci       Date:  2008-11       Impact factor: 5.691

Review 2.  Psychotropic Drug Development Strategies that Target Neuropsychiatric Etiologies in Alzheimer's and Parkinson's Diseases.

Authors:  Cornelis J Van der Schyf
Journal:  Drug Dev Res       Date:  2016-11-04       Impact factor: 4.360

Review 3.  CNS Target Identification and Validation: Avoiding the Valley of Death or Naive Optimism?

Authors:  P H Hutson; J A Clark; A J Cross
Journal:  Annu Rev Pharmacol Toxicol       Date:  2016-08-15       Impact factor: 13.820

4.  Metabolic Biomarkers and Neurodegeneration: A Pathway Enrichment Analysis of Alzheimer's Disease, Parkinson's Disease, and Amyotrophic Lateral Sclerosis.

Authors:  Medi Kori; Busra Aydın; Semra Unal; Kazim Yalcin Arga; Dilek Kazan
Journal:  OMICS       Date:  2016-11

Review 5.  Novel CNS drug discovery and development approach: model-based integration to predict neuro-pharmacokinetics and pharmacodynamics.

Authors:  Elizabeth C M de Lange; Willem van den Brink; Yumi Yamamoto; Wilhelmus E A de Witte; Yin Cheong Wong
Journal:  Expert Opin Drug Discov       Date:  2017-09-21       Impact factor: 6.098

Review 6.  The Panomics Approach in Neurodegenerative Disorders.

Authors:  Balazs Szatmari; Peter Balicza; Gyorgy Nemeth; Maria Judit Molnar
Journal:  Curr Med Chem       Date:  2019       Impact factor: 4.530

Review 7.  Schizophrenia.

Authors:  Jim van Os; Shitij Kapur
Journal:  Lancet       Date:  2009-08-22       Impact factor: 79.321

Review 8.  Role of metabolism in neurodegenerative disorders.

Authors:  Claudio Procaccini; Marianna Santopaolo; Deriggio Faicchia; Alessandra Colamatteo; Luigi Formisano; Paola de Candia; Mario Galgani; Veronica De Rosa; Giuseppe Matarese
Journal:  Metabolism       Date:  2016-06-07       Impact factor: 8.694

Review 9.  Metabolic Profiling and Phenotyping of Central Nervous System Diseases: Metabolites Bring Insights into Brain Dysfunctions.

Authors:  Marc-Emmanuel Dumas; Laetitia Davidovic
Journal:  J Neuroimmune Pharmacol       Date:  2015-01-24       Impact factor: 4.147

Review 10.  The Energy Metabolism Dysfunction in Psychiatric Disorders Postmortem Brains: Focus on Proteomic Evidence.

Authors:  Giuliana S Zuccoli; Verônica M Saia-Cereda; Juliana M Nascimento; Daniel Martins-de-Souza
Journal:  Front Neurosci       Date:  2017-09-07       Impact factor: 4.677

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  1 in total

1.  Post-translational Modifications in Parkinson's Disease.

Authors:  André Saraiva Leão Marcelo Antunes
Journal:  Adv Exp Med Biol       Date:  2022       Impact factor: 3.650

  1 in total

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