Differentially expressed genes and apoptosis-related pathways in Keshan disease / 中华地方病学杂志
Chinese Journal of Endemiology
; (12): 859-865, 2017.
Article
Dans Zh
| WPRIM
| ID: wpr-665741
Responsable en Bibliothèque :
WPRO
ABSTRACT
Objective To investigate the differences in gene expression profiles of peripheral blood from patients with Keshan disease (KD) and the apoptosis mechanism in KD,to obtain diagnostic markers and establish diagnostic centroids plot for KD.Methods RNA was isolated from ten patients with KD diagnosed according to the clinical criteria for KD in China and ten health controls.The expression profiles were evaluated by Agilent 4 ×44K Whole Human Genome density oligonucleotide microarray analysis.The data were extracted by Agilent Feature Extraction Software t test,Pathway studio analysis and prediction analysis for microarray (PAM) were used to identify differently expressed genes,gene pathways,diagnostic markers and establish diagnostic centroids plot.Results Totally 1 570 up-regulated genes and 1 498 down-regulated genes were identified.Thirty-eight enrichment pathways were also identified,and the highest ranked by Pathway studio analysis was related to apoptosis.Six genes involved in apoptosis pathway were up-regulated in KD included ataxia telangiectasia mutated (ATM),cAMP-dependent protein kinase,protein kinase A (PKA),baculoviral IAP repeat-containing 2 (BIRC2),NLR family,apoptosis inhibitory protein (NAIP),BCL2-1ike 11 (Bim),BCL2-related protein A1 (BCL2A1) and down-regulated were 7 which included caspase 8 (CASP8),BCL2 binding component 3 (BBC3),BCL2--associated athanogene (BAG1),BCL2-associated X protein (BAX),BCL2-1ike 1 (BCL2L1),BCL2-related ovarian killer (BOK),and caspase 6 (CASP6).Forty-two diagnostic markers were obtained through PAM analysis.Conclusions Apoptosis related to genes and pathways might play an important role in the pathogenesis of KD.Forty-two markers could be used as molecular markers for the diagnosis of KD,which is important to the diagnosis of KD.
Texte intégral:
1
Indice:
WPRIM
Type d'étude:
Prognostic_studies
langue:
Zh
Texte intégral:
Chinese Journal of Endemiology
Année:
2017
Type:
Article