Proteomic Analysis of Cerebrospinal Fluid in Suicidal Patients - A Pilot Study

Semančíková, Erika; Tkáčiková, Soňa; Talian, Ivan; Bober, Peter; Hertelyova, Zdenka; Tomečková, Vladimı́ra

doi:10.4172/jpb.1000476

J Proteomics Bioinform

2018

DOI: 10.4172/jpb.1000476

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Proteomic Analysis of Cerebrospinal Fluid in Suicidal Patients - A Pilot Study

Erika Semančíková¹,

Soňa Tkáčiková²,

Ivan Talian³

et al.

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2021

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‘Omics’ of suicidal behaviour: A path to personalised psychiatry

Kouter¹,

Paska²

2021

WJP

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Psychiatric disorders, including suicide, are complex disorders that are affected by many different risk factors. It has been estimated that genetic factors contribute up to 50% to suicide risk. As the candidate gene approach has not identified a gene or set of genes that can be defined as biomarkers for suicidal behaviour, much is expected from cutting edge technological approaches that can interrogate several hundred, or even millions, of biomarkers at a time. These include the ‘-omic’ approaches, such as genomics, transcriptomics, epigenomics, proteomics and metabolomics. Indeed, these have revealed new candidate biomarkers associated with suicidal behaviour. The most interesting of these have been implicated in inflammation and immune responses, which have been revealed through different study approaches, from genome-wide single nucleotide studies and the micro-RNA transcriptome, to the proteome and metabolome. However, the massive amounts of data that are generated by the ‘-omic’ technologies demand the use of powerful computational analysis, and also specifically trained personnel. In this regard, machine learning approaches are beginning to pave the way towards personalized psychiatry.

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‘Omics’ of suicidal behaviour: A path to personalised psychiatry

Kouter¹,

Paska²

2021

WJP

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Proteomic Analysis of Cerebrospinal Fluid in Suicidal Patients - A Pilot Study

Cited by 1 publication

References 12 publications

‘Omics’ of suicidal behaviour: A path to personalised psychiatry

‘Omics’ of suicidal behaviour: A path to personalised psychiatry

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