Kininogen-1 as a protein biomarker for schizophrenia through mass spectrometry and genetic association analyses.

CST9 Kininogen-1 MALDI-TOF/MS Protein biomarker Schizophrenia

Journal

PeerJ
ISSN: 2167-8359
Titre abrégé: PeerJ
Pays: United States
ID NLM: 101603425

Informations de publication

Date de publication:
2019
Historique:
received: 13 03 2019
accepted: 19 06 2019
entrez: 27 7 2019
pubmed: 28 7 2019
medline: 28 7 2019
Statut: epublish

Résumé

Schizophrenia (SCZ) is a complex and severe mental illness. There is a lack of effective biomarkers for SCZ diagnosis. The aim of this study was to explore the possibility of using serum peptides for the diagnosis of SCZ as well as analyze the association of variants in genes coding for these peptides and SCZ. After bead-based fractionation, the matrix-assisted laser desorption ionization/time-of-flight mass spectrometry technique was used to identify peptides that showed different expressions between 166 SCZ patients and 201 healthy controls. Differentially expressed peptides were verified in a second set of samples (81 SCZ patients and 103 healthy controls). The association of SCZ and three tagSNPs selected in genes coding for differentially expressed peptides was performed in 1,126 SCZ patients and 1,168 controls. The expression level of peptides with m/z 1,945.07 was significant lower in SCZ patients than in healthy controls ( The present study demonstrated that SCZ patients had decreased expression of Kininogen-1 and genetic variants in Kininogen-1 coding gene

Sections du résumé

BACKGROUND BACKGROUND
Schizophrenia (SCZ) is a complex and severe mental illness. There is a lack of effective biomarkers for SCZ diagnosis. The aim of this study was to explore the possibility of using serum peptides for the diagnosis of SCZ as well as analyze the association of variants in genes coding for these peptides and SCZ.
METHODS METHODS
After bead-based fractionation, the matrix-assisted laser desorption ionization/time-of-flight mass spectrometry technique was used to identify peptides that showed different expressions between 166 SCZ patients and 201 healthy controls. Differentially expressed peptides were verified in a second set of samples (81 SCZ patients and 103 healthy controls). The association of SCZ and three tagSNPs selected in genes coding for differentially expressed peptides was performed in 1,126 SCZ patients and 1,168 controls.
RESULTS RESULTS
The expression level of peptides with m/z 1,945.07 was significant lower in SCZ patients than in healthy controls (
CONCLUSIONS CONCLUSIONS
The present study demonstrated that SCZ patients had decreased expression of Kininogen-1 and genetic variants in Kininogen-1 coding gene

Identifiants

pubmed: 31346501
doi: 10.7717/peerj.7327
pii: 7327
pmc: PMC6642793
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e7327

Déclaration de conflit d'intérêts

The authors declare that they have no competing interests.

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Auteurs

Mingjia Yang (M)

Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin Province, China.

Na Zhou (N)

Department of Pharmacy, Hospital of Stomatology, Jilin University, Changchun, Jilin Province, China.

Huiping Zhang (H)

Department of Psychiatry and Medicine (Biomedical Genetics), Boston University School of Medicine, Boston, MA, USA.

Guojun Kang (G)

Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin Province, China.

Bonan Cao (B)

Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin Province, China.

Qi Kang (Q)

Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin Province, China.

Rixin Li (R)

Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin Province, China.

Xiaojing Zhu (X)

Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin Province, China.

Wenwang Rao (W)

Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin Province, China.
Unit of Psychiatry, Faculty of Health Sciences, University of Macau, Macao, China.

Qiong Yu (Q)

Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin Province, China.

Classifications MeSH