Literature DB >> 33839315

A pilot study indicating the dysregulation of the complement and coagulation cascades in treated schizophrenia and bipolar disorder patients.

Elisa Castañeda Santa Cruz1, Flávia da Silva Zandonadi1, Wagner Fontes2, Alessandra Sussulini3.   

Abstract

A better understanding of the proteome profile after bipolar disorder (BD) and schizophrenia (SCZ) treatment, besides monitoring disease progression, may assist on the development of novel therapeutic strategies with the ability to reduce or control possible side effects. In this pilot study, proteomics analysis employing nano liquid chromatography coupled to mass spectrometry (nLC-MS) and bioinformatic tools were applied to identify differentially abundant proteins in serum of treated BD and SCZ patients. In total, 10 BD patients, 10 SCZ patients, and 14 healthy controls (HC) were included in this study. 24 serum proteins were significantly altered (p < 0.05) in BD and SCZ treated patients and, considering log2FC > 0.58, 8 proteins presented lower abundance in the BD group, while 7 proteins presented higher abundance and 2 lower abundance in SCZ group when compared against HC. Bioinformatics analysis based on these 24 proteins indicated two main altered pathways previously described in the literature; furthermore, it revealed that opposite abundances of the complement and coagulation cascades were the most significant biological processes involved in these pathologies. Moreover, we describe disease-related proteins and pathways associations suggesting the necessity of clinical follow-up improvement besides treatment, as a precaution or safety measure, along with the disease progression. Further biological validation and investigations are required to define whether there is a correlation between complement and coagulation cascade expression for BD and SCZ and cardiovascular diseases.
Copyright © 2021 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Antipsychotic side effects; Bioinformatics; Bipolar disorder; Proteomics; Schizophrenia

Year:  2021        PMID: 33839315     DOI: 10.1016/j.bbapap.2021.140657

Source DB:  PubMed          Journal:  Biochim Biophys Acta Proteins Proteom        ISSN: 1570-9639            Impact factor:   3.036


  4 in total

1.  Charting the proteome landscape in major psychiatric disorders: From biomarkers to biological pathways towards drug discovery.

Authors:  Brisa S Fernandes; Yulin Dai; Peilin Jia; Zhongming Zhao
Journal:  Eur Neuropsychopharmacol       Date:  2022-06-25       Impact factor: 5.415

2.  Integrating proteomic and clinical data to discriminate major psychiatric disorders: Applications for major depressive disorder, bipolar disorder, and schizophrenia.

Authors:  Dongyoon Shin; Sang Jin Rhee; Daun Shin; Eun-Jeong Joo; Hee Yeon Jung; Sungwon Roh; Sang-Hyuk Lee; Hyeyoung Kim; Minji Bang; Kyu Young Lee; Se Hyun Kim; Jihyeon Lee; Yoseop Kim; Injoon Yeo; Yeongshin Kim; Jaenyeon Kim; Jun Soo Kwon; Kyooseob Ha; Yong Min Ahn; Youngsoo Kim
Journal:  Clin Transl Med       Date:  2022-06

3.  Heterogeneity of psychosocial functioning in patients with bipolar disorder: Associations with sociodemographic, clinical, neurocognitive and biochemical variables.

Authors:  Zhengling Ba; Minhua Chen; Jiulan Lai; Yingtao Liao; Hengying Fang; Dali Lu; Yingjun Zheng; Kunlun Zong; Xiaoling Lin
Journal:  Front Psychiatry       Date:  2022-09-20       Impact factor: 5.435

4.  Schizophrenia and Hospital Admissions for Cardiovascular Events in a Large Population: The APNA Study.

Authors:  Sara Guillen-Aguinaga; Antonio Brugos-Larumbe; Laura Guillen-Aguinaga; Felipe Ortuño; Francisco Guillen-Grima; Luis Forga; Ines Aguinaga-Ontoso
Journal:  J Cardiovasc Dev Dis       Date:  2022-01-13
  4 in total

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