Literature DB >> 31625351

Fibrinogen and Kininogen are Potential Serum Protein Biomarkers for Depressive Disorder.

Guojun Kang, Yanchi Zhang, Rui Liu, Rixin Li, Qi Kang, Xiaojing Zhu, Lijuan Yan, Yaqin Yu, Qiong Yu.   

Abstract

BACKGROUND: Depressive disorder is a debilitating psychiatric mental disease. However, no biological methods are used for the diagnosis of this disorder. Proteomic approaches for biomarker discovery may provide an important objective tool for diagnostics of depression. This study aimed to identify serum protein biomarkers for diagnosis of depressive disorder.
METHODS: We screened for potential depression biomarkers in 175 serum samples from 86 patients and 89 healthy controls. Serum protein spectrums were detected by matrix-assisted laser desorption ionization time of flight mass spectrometry (MALDI-TOF MS). Differentially expressed peptides among the two groups were analyzed and followed by sequence analysis to identify these peptides.
RESULTS: Five peaks were found to have a significant different between the depression and healthy control groups. Among them, up-regulated m/z 1,466.21 and down-regulated m/z 1,944.99 are identified as the fractions of fibrinogen alpha chain and kininogen 1, respectively.
CONCLUSIONS: Fibrinogen and kininogen may be potential serum protein biomarkers in the diagnosis and prognosis of depressive disorders.

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Year:  2019        PMID: 31625351     DOI: 10.7754/Clin.Lab.2019.190312

Source DB:  PubMed          Journal:  Clin Lab        ISSN: 1433-6510            Impact factor:   1.138


  2 in total

1.  Cerebrospinal Fluid Proteome Changes in Older Non-Cardiac Surgical Patients with Postoperative Cognitive Dysfunction.

Authors:  Keith W VanDusen; Yi-Ju Li; Victor Cai; Ashley Hall; Sarah Hiles; J Will Thompson; M Arthur Moseley; Mary Cooter; Leah Acker; Jerrold H Levy; Kamrouz Ghadimi; Quintin J Quiñones; Michael J Devinney; Stacey Chung; Niccolò Terrando; Eugene W Moretti; Jeffrey N Browndyke; Joseph P Mathew; Miles Berger
Journal:  J Alzheimers Dis       Date:  2021       Impact factor: 4.472

2.  MALDI-TOF MS Characterisation of the Serum Proteomic Profile in Insulin-Resistant Normal-Weight Individuals.

Authors:  Katarzyna Pastusiak; Eliza Matuszewska; Dagmara Pietkiewicz; Jan Matysiak; Pawel Bogdanski
Journal:  Nutrients       Date:  2021-10-28       Impact factor: 5.717

  2 in total

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