Identification of basement membrane-related biomarkers associated with the diagnosis of osteoarthritis based on machine learning.
BMC Med Genomics
; 16(1): 198, 2023 08 23.
Article
en En
| MEDLINE
| ID: mdl-37612746
ABSTRACT
BACKGROUND:
Osteoarthritis is a very common clinical disease in middle-aged and elderly individuals, and with the advent of ageing, the incidence of this disease is gradually increasing. There are few studies on the role of basement membrane (BM)-related genes in OA.METHOD:
We used bioinformatics and machine learning methods to identify important genes related to BMs in OA patients and performed immune infiltration analysis, lncRNAâmiRNA-mRNA network prediction, ROC analysis, and qRTâPCR.RESULT:
Based on the results of machine learning, we determined that LAMA2 and NID2 were the key diagnostic genes of OA, which were confirmed by ROC and qRTâPCR analyses. Immune analysis showed that LAMA2 and NID2 were closely related to resting memory CD4 T cells, mast cells and plasma cells. Two lncRNAs, XIST and TTTY15, were simultaneously identified, and lncRNAâmiRNAâmRNA network prediction was performed.CONCLUSION:
LAMA2 and NID2 are important potential targets for the diagnosis and treatment of OA.Palabras clave
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Osteoartritis
/
MicroARNs
/
ARN Largo no Codificante
Tipo de estudio:
Diagnostic_studies
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Prognostic_studies
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Risk_factors_studies
Límite:
Aged
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Humans
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Middle aged
Idioma:
En
Revista:
BMC Med Genomics
Asunto de la revista:
GENETICA MEDICA
Año:
2023
Tipo del documento:
Article
País de afiliación:
China