Imaging Methods for Pulmonary Sarcoidosis

Węcławek, Małgorzata; Jastrzębski, Dariusz

doi:10.5603/arm.2020.0074

Cited by 5 publications

(2 citation statements)

References 61 publications

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“…The diagnosis of SA often depends on radiological and clinical imaging, which are related to the histology of epithelioid granulomas; nevertheless, granulomas are not pathognomonic of SA (22). In particular, the imaging features of pulmonary SAs are similar to those of pulmonary TB and mediastinal lymph node TB (23). Therefore, pulmonary SA might be easily missed in diagnosis or misdiagnosed.…”

Section: Discussionmentioning

confidence: 99%

BATF2 and PDK4 as diagnostic molecular markers of sarcoidosis and their relationship with immune infiltration

He¹,

Li²,

Zhou³

et al. 2022

Ann Transl Med

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Background: Sarcoidosis (SA) is an immune disorder disease featuring granulomas formation with a controversial etiopathogenesis. We aimed to uncover potential markers for SA diagnosis and explore how immune cell infiltration contributes to the pathogenesis of SA.Methods: Sarcoidosis GSE83456 samples and GSE42834 from Gene Expression Omnibus (GEO) were analyzed as the training and external validation sets, respectively. Firstly, R statistical software was employed to uncover the differentially expressed genes (DEGs) of GSE83456. Weighted gene co-expression network analysis (WGCNA) was used to reveal the key module of DEGs. Secondly, the genes of the key module were used to analyze functional correlations. Thirdly, support vector machine (SVM) algorithms and least absolute shrinkage and selection operator (LASSO) logistic regression were applied for screening and verification of the diagnostic markers for key module genes. Finally, the infiltration of immune cells in SA patients' blood samples was assessed by Cell-type Identification by Estimating Relative Subsets of RNA Transcripts (CIBERSORT), after which correlations of diagnostic markers immune cell and infiltration were explored. Serum samples collected from human research participants were used for confirmatory analysis of bioinformatics. A receiver operating characteristic (ROC) curve was used to evaluate the diagnostic value of BATF2 and PDK4.Results: In total, 580 DEGs were identified from the key module. The genes PDK4 [area under the curve (AUC) =0.942] and BATF4 (AUC =0.980) were revealed as diagnostic markers of SAs. The diagnostic power of the 2 genes was verified in GSE42834. We found that monocytes, T cells regulatory (Tregs), mast cells, macrophages, natural killer (NK) cells, and dendritic cells (DC) may contribute to SA development through immune cell infiltration study. In addition, PDK4 and BATF4 were closely associated with these immune cells.Both BATF2 and PDK4 were highly expressed in active pulmonary SA. Using non-SA patients as controls, the AUC of serum PDK4, BATF2, and their combination for the diagnosis of active pulmonary SA was 0.798 (95% CI: 0.701 to 0.876), 0.895 (95% CI: 0.813 to 0.950), and 0.910 (95% CI: 0.831 to 0.960), respectively. Conclusions:The genes PDK4 and BATF4 could be used as diagnostic markers of active pulmonary SA.Immune cell infiltration severs an important role in SA.

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Section: Discussionmentioning

confidence: 99%

BATF2 and PDK4 as diagnostic molecular markers of sarcoidosis and their relationship with immune infiltration

He¹,

Li²,

Zhou³

et al. 2022

Ann Transl Med

View full text Add to dashboard Cite

show abstract

“…Sarcoidosis diagnosis often is dependents on radiological and clinical imaging, which are related to the histology of epithelioid granulomas; nevertheless, granulomas are not unique pathognomonic for sarcoidosis [22]. In particular, the imaging features of pulmonary sarcoidosis are similar to those of pulmonary tuberculosis and mediastinal lymph node tuberculosis [23]. Therefore, pulmonary sarcoidosis might be easily missed in diagnosis or misdiagnosed.…”

Section: Discussionmentioning

confidence: 99%

BATF2 and PDK4 As Diagnostic Molecular Markers of Sarcoidosis and Their Relationship With Immune Infiltration

Li¹,

Zhou²,

He³

2021

Preprint

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Background: Sarcoidosis (SA) is an immune disorder disease featured with granulomas formation. The work purposed to uncover potential markers for sarcoidosis (SA) diagnosis and explore how immune cell infiltration contributes to the pathogenesis of SA.Methods: Sarcoidosis GSE83456 samples and GSE42834 from Gene Expression Omnibus (GEO) were analyzed as the training and external validation sets, respectively. R statistical software was employed to uncover the differentially expressed genes (DEGs) of GSE83456. SVM algorithms and LASSO logistic regression were applied for screening and verification of the diagnostic markers for key module genes. The infiltration of immune cells in sarcoidosis patients’ blood samples was assessed by CIBERSORT. The expression of serum BATF2 and PDK4 was detected by RT-qPCR method, and the value of BATF2 and PDK4 mRNA expression in the diagnosis of pulmonary sarcoidosis was analyzed.Results: In total, 580 DEGs were identified from the key module. PDK4 (AUC=0.942) and BATF4 (AUC=0.980) were revealed as diagnostic markers of sarcoidosis. We found that monocytes, T cells regulatory (Tregs), mast cells, macrophages，NK cells, and dendritic cells may contribute to sarcoidosis development. In addition, PDK4 and BATF4 were closely associated with these immune cells. BATF2 and PDK4 were highly expressed in pulmonary sarcoidosis. BATF2 and PDK4 combined to predict the area under the ROC curve of pulmonary sarcoidosis was 0.922.Conclusions: PDK4 and BATF4 could be used as diagnostic markers of sarcoidosis, and immune cell infiltration severs an important role in sarcoidosis.

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