Differentially expressed lncRNAs in peripheral blood mononuclear cells from middle-aged female patients with rheumatoid arthritis–associated interstitial lung disease

2020 ◽  
Vol 39 (8) ◽  
pp. 2281-2289
Author(s):  
Wei Zhou ◽  
Juan Zheng ◽  
Min Yuan ◽  
Lindong Yuan ◽  
Xiaodong Jia ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Interstitial Lung Disease ◽  
Lung Disease ◽  
Peripheral Blood Mononuclear Cells ◽  
Peripheral Blood ◽  
Mononuclear Cells ◽  
Differentially Expressed ◽  
Middle Aged ◽  
Peripheral Blood Mononuclear ◽  
Blood Mononuclear Cells

scholarly journals RNA-seq reveals the circular RNA and miRNA expression profile of peripheral blood mononuclear cells in patients with rheumatoid arthritis

2020 ◽  
Vol 40 (4) ◽  
Author(s):  
Jianting Wen ◽  
Jian Liu ◽  
Pingheng Zhang ◽  
Hui Jiang ◽  
Ling Xin ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Peripheral Blood Mononuclear Cells ◽  
Peripheral Blood ◽  
Mononuclear Cells ◽  
Differentially Expressed ◽  
Sequencing Analysis ◽  
Rna Seq ◽  
Peripheral Blood Mononuclear ◽  
Wide Range ◽  
Blood Mononuclear Cells

Abstract Objective: Circular RNAs (circRNAs) are a significant class of molecules involved in a wide range of diverse biological functions that are abnormally expressed in many types of diseases. The present study aimed to determine the circRNAs specifically expressed in peripheral blood mononuclear cells (PBMCs) from rheumatoid arthritis (RA) patients to identify their possible molecular mechanisms. Methods: To identify the circRNAs specifically expressed in RA, we started by sequencing the of PBMCs circRNA and microRNAs (miRNAs) from a RA group (n = 3) and a control group (n = 3). We constructed a network of differentially expressed circRNAs and miRNAs. Then, we selected differentially expressed circRNAs in PBMCs from 10 RA patients relative to 10 age- and sex-matched controls using real-time quantitative reverse transcription-polymerase chain reaction (RT-qPCR). Spearman’s correlation test was used to evaluate the correlation of circRNAs with biochemical measurements. Results: A total of 165 circRNAs and 63 miRNAs were differently expressed between RA patients and healthy people according to RNA-seq, including 109 circRNAs that were significantly up-regulated and 56 circRNAs that were down-regulated among the RA patients. RT-qPCR validation demonstrated that the expression levels of hsa_circ_0001200, hsa_circ_0001566, hsa_circ_0003972, and hsa_circ_0008360 were consistent with the results from the sequencing analysis. Then, we found that there were significant correlations between the circRNAs and disease severity. Conclusion: Generally, these results suggest that expression of hsa_circ_0001200, hsa_circ_0001566, hsa_circ_0003972, and hsa_circ_0008360 in PBMCs from RA patients may serve as potential biomarkers for the diagnosis of RA, and these circRNAs may influence the occurrence and development of RA.

Epigenetically regulated co-expression network of genes significant for rheumatoid arthritis

Epigenomics ◽  
2019 ◽  
Vol 11 (14) ◽  
pp. 1601-1612 ◽  
Author(s):  
Pei He ◽  
Xing-Bo Mo ◽  
Shu-Feng Lei ◽  
Fei-Yan Deng
Keyword(s):  
Rheumatoid Arthritis ◽  
Causal Inference ◽  
Peripheral Blood Mononuclear Cells ◽  
Peripheral Blood ◽  
Mononuclear Cells ◽  
Differentially Expressed ◽  
Peripheral Blood Mononuclear ◽  
Differentially Expressed Mirnas ◽  
Blood Mononuclear Cells ◽  
Inference Test

Aim: To identify epigenetically regulated network of genes in peripheral blood mononuclear cells significant for rheumatoid arthritis (RA). Methods: Differentially expressed genes (DEGs) and their associated differentially expressed miRNAs and differentially methylated positions (DMPs) were identified. Causal inference test (CIT) identified the causal regulation chains. The analyses, for example, weighted gene co-expression network (WGCNA), protein–protein interaction and functional enrichment, evaluated interaction patterns among the DEGs and the associated epigenetic factors. Results: A total of 181 DEGs were identified. The DEGs were significantly regulated by DMPs and/or differentially expressed miRNAs. Causal inference test analyses identified 18 causal chains of DMP-DEG-RA and 16 intermediate DEGs enriched in ‘protein kinase inhibitor activity’. BTN2A1 was co-expressed with other 9 intermediate genes and 11 known RA-associated genes and played a pivotal role in the co-expression network. Conclusion: Epigenetically regulated network of genes in peripheral blood mononuclear cells (PBMC) contributed to RA. The causal DMPs and key intermediate genes may serve as potential biomarkers for RA.

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