Bioinformatics-based identification of CTSS, DOK2, and ENTPD1 as potential blood biomarkers of schizophrenia
Abstract Background Although schizophrenia is a severe mental disorder that significantly impacts patients and society, there are currently no reliable blood-based biomarkers to assist in its diagnosis. The diagnosis primarily relies on clinical assessment and patient history, a method that is inher...
Saved in:
| Main Authors: | Lei Zhang, Jiale Zhang, Na Wang, Chenwei Liu, Shuting Wang, Xiaotao Dong, Lu Yang, Xiaohong Bao, Xiaobo Nie, Jicheng Li |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2025-02-01
|
| Series: | BMC Psychiatry |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12888-025-06512-0 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Identification of a potential miRNA–mRNA regulatory network for ischemic stroke by using bioinformatics methods: a retrospective study based on the Gene Expression Omnibus database
by: Zhaoying Chen, et al.
Published: (2025-04-01) -
Identification of key genes and pathways in schizophrenia: a bioinformatics analysis based on GWAS and GEO
by: Alireza Shokrgozar, et al.
Published: (2025-04-01) -
Comprehensive bioinformatics analysis identifies hub genes associated with immune cell infiltration in early-onset schizophrenia
by: Shasha Wu, et al.
Published: (2025-01-01) -
Perturbation of Cell-Subtype Specific Active Kinome Networks in Schizophrenia
by: Ali Sajid Imami, et al.
Published: (2024-11-01) -
Screening of the key genes and signaling pathways for schizophrenia using bioinformatics and next generation sequencing data analysis
by: Iranna Kotturshetti, et al.
Published: (2024-12-01)