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Cerebrospinal fluid proteome evaluation in major depressive disorder by mass spectrometry.
Franzen, Avery D; Lam, Tukiet T; Williams, Kenneth R; Nairn, Angus C; Duman, Ronald S; Sathyanesan, Monica; Kumar, Vikas; Carpenter, Linda L; Newton, Samuel S.
Afiliação
  • Franzen AD; Basic Biomedical Science Department, University of South Dakota, 414 E Clark St, Vermillion, SD, 57069, USA.
  • Lam TT; Yale/Keck MS & Proteomics Resource, 300 George Street, Ste G001, New Haven, CT, 06511, USA.
  • Williams KR; Yale/NIDA Neuroproteomics Center, 300 George Street, New Haven, CT, 06511, USA.
  • Nairn AC; Molecular Biophysics and Biochemistry, Yale University School of Medicine, New Haven, CT, 067511, USA.
  • Duman RS; Yale/NIDA Neuroproteomics Center, 300 George Street, New Haven, CT, 06511, USA.
  • Sathyanesan M; Molecular Biophysics and Biochemistry, Yale University School of Medicine, New Haven, CT, 067511, USA.
  • Kumar V; Yale/NIDA Neuroproteomics Center, 300 George Street, New Haven, CT, 06511, USA.
  • Carpenter LL; Yale Psychiatry, 34 Park Street, New Haven, CT, 06508, USA.
  • Newton SS; Yale Psychiatry, 34 Park Street, New Haven, CT, 06508, USA.
BMC Psychiatry ; 20(1): 481, 2020 10 01.
Article em En | MEDLINE | ID: mdl-32998701
ABSTRACT

BACKGROUND:

Depression affects approximately 7.1% of the United States population every year and has an annual economic burden of over $210 billion dollars. Several recent studies have sought to investigate the pathophysiology of depression utilizing focused cerebrospinal fluid (CSF) and serum analysis. Inflammation and metabolic dysfunction have emerged as potential etiological factors from these studies. A dysregulation in the levels of inflammatory proteins such as IL-12, TNF, IL-6 and IFN-γ have been found to be significantly correlated with depression.

METHODS:

CSF samples were obtained from 15 patients, seven with major depressive disorder and eight age- and gender-matched non-psychiatric controls. CSF protein profiles were obtained using quantitative mass spectrometry. The data were analyzed by Progenesis QI proteomics software to identify significantly dysregulated proteins. The results were subjected to bioinformatics analysis using the Ingenuity Pathway Analysis suite to obtain unbiased mechanistic insight into biologically relevant interactions and pathways.

RESULTS:

Several dysregulated proteins were identified. Bioinformatics analysis indicated that the potential disorder/disease pathways include inflammatory response, metabolic disease and organismal injury. Molecular and cellular functions that were affected include cellular compromise, cell-to-cell signaling & interaction, cellular movement, protein synthesis, and cellular development. The major canonical pathway that was upregulated was acute phase response signaling. Endogenous upstream regulators that may influence dysregulation of proinflammatory molecules associated with depression are interleukin-6 (IL-6), signal transducer and activator of transcription 3 (STAT3), oncostatin M, PR domain zinc finger protein 1 (PRDM1), and peroxisome proliferator-activated receptor gamma coactivator 1-alpha (PPARGC1A).

CONCLUSIONS:

The proteome profiling data in this report identifies several potential biological functions that may be involved in the pathophysiology of major depressive disorder. Future research into how the differential expression of these proteins is involved in the etiology and severity of depression will be important.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Proteoma / Transtorno Depressivo Maior Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Proteoma / Transtorno Depressivo Maior Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article