1
|
Han S, Li Y, Gao J. Peripheral blood MicroRNAs as biomarkers of schizophrenia: expectations from a meta-analysis that combines deep learning methods. World J Biol Psychiatry 2024; 25:65-81. [PMID: 37703215 DOI: 10.1080/15622975.2023.2258975] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Revised: 08/13/2023] [Accepted: 09/11/2023] [Indexed: 09/15/2023]
Abstract
OBJECTIVES This study aimed at identifying reliable differentially expressed miRNAs (DEMs) for schizophrenia in blood via meta-analyses combined with deep learning methods. METHODS First, we meta-analysed published DEMs. Then, we enriched the pool of schizophrenia-associated miRNAs by applying two computational learning methods to identify candidate biomarkers and verified the results in external datasets. RESULTS In total, 27 DEMs were found to be statistically significant (p < .05). Ten candidate schizophrenia-associated miRNAs were identified through computational learning methods. The diagnostic efficiency was verified on a blood-miRNA dataset (GSE54578) with a random forest (RF) model and achieved an area under the curve (AUC) of 0.83 ± 0.14. Moreover, 855 experimentally validated target genes for these candidate miRNAs were retrieved, and 11 hub genes were identified. Enrichment analysis revealed that the main functions in which the target genes were enriched were those related to cell signalling, prenatal infections, cancers, cell deaths, oxidative stress, endocrine disorders, transcription regulation, and kinase activities. The diagnostic ability of the hub genes was reflected in a comparably good average AUC of 0.77 ± 0.09 for an external dataset (GSE38484). CONCLUSIONS A meta-analysis that combines computational and mathematical methods provides a reliable tool for identifying candidate biomarkers of schizophrenia.
Collapse
Affiliation(s)
- Shiyuan Han
- Department of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Yongning Li
- Department of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
- Department of International Medical Service, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Jun Gao
- Department of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| |
Collapse
|
2
|
Guillen-Aguinaga S, Brugos-Larumbe A, Guillen-Aguinaga L, Ortuño F, Guillen-Grima F, Forga L, Aguinaga-Ontoso I. Schizophrenia and Hospital Admissions for Cardiovascular Events in a Large Population: The APNA Study. J Cardiovasc Dev Dis 2022; 9:jcdd9010025. [PMID: 35050235 PMCID: PMC8778060 DOI: 10.3390/jcdd9010025] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2021] [Revised: 01/05/2022] [Accepted: 01/11/2022] [Indexed: 01/27/2023] Open
Abstract
(1) Background: Patients with schizophrenia have higher mortality, with cardiovascular diseases being the first cause of mortality. This study aims to estimate the excess risk of hospital admission for cardiovascular events in schizophrenic patients, adjusting for comorbidity and risk factors. (2) Methods: The APNA study is a dynamic prospective cohort of all residents in Navarra, Spain. A total of 505,889 people over 18 years old were followed for five years. The endpoint was hospital admissions for a cardiovascular event. Direct Acyclic Graphs (DAG) and Cox regression were used. (3) Results: Schizophrenic patients had a Hazard Ratio (HR) of 1.414 (95% CI 1.031–1.938) of hospital admission for a cardiovascular event after adjusting for age, sex, hypertension, type 2 diabetes, dyslipidemia, smoking, low income, obesity, antecedents of cardiovascular disease, and smoking. In non-adherent to antipsychotic treatment schizophrenia patients, the HR was 2.232 (95% CI 1.267–3.933). (4) Conclusions: Patients with schizophrenia have a higher risk of hospital admission for cardiovascular events than persons with the same risk factors without schizophrenia. Primary care nursing interventions should monitor these patients and reduce cardiovascular risk factors.
Collapse
Affiliation(s)
- Sara Guillen-Aguinaga
- Azpilagaña Health Center, Navarra Health Service, 31006 Pamplona, Navarra, Spain;
- Department of Health Sciences, Public University of Navarra (UPNA), 31008 Pamplona, Navarra, Spain; (A.B.-L.); (I.A.-O.)
| | - Antonio Brugos-Larumbe
- Department of Health Sciences, Public University of Navarra (UPNA), 31008 Pamplona, Navarra, Spain; (A.B.-L.); (I.A.-O.)
| | | | - Felipe Ortuño
- Department of Psychiatry, Clinica Universidad de Navarra, 31008 Pamplona, Navarra, Spain;
- Navarra Institute of Health Research (IdiSNA), 31008 Pamplona, Navarra, Spain;
| | - Francisco Guillen-Grima
- Department of Health Sciences, Public University of Navarra (UPNA), 31008 Pamplona, Navarra, Spain; (A.B.-L.); (I.A.-O.)
- Navarra Institute of Health Research (IdiSNA), 31008 Pamplona, Navarra, Spain;
- Department of Preventive Medicine, Clinica Universidad de Navarra, 31008 Pamplona, Navarra, Spain
- CIBER-OBN, Instituto de Salud Carlos III, 28029 Madrid, Comunidad de Madrid, Spain
- Correspondence: ; Tel.: +34-948-296384
| | - Luis Forga
- Navarra Institute of Health Research (IdiSNA), 31008 Pamplona, Navarra, Spain;
- Department of Endocrinology, University Hospital of Navarra, C/Irunlarrea s/n, 31008 Pamplona, Navarra, Spain
| | - Ines Aguinaga-Ontoso
- Department of Health Sciences, Public University of Navarra (UPNA), 31008 Pamplona, Navarra, Spain; (A.B.-L.); (I.A.-O.)
| |
Collapse
|