scholarly journals Using protein microarray reveals clinical correlation between self-perception of patient and the apoptosis-related proteins in rheumatoid arthritis

2020 ◽  
Author(s):  
Jian-ting Wen ◽  
Jian Liu ◽  
Hui Jiang ◽  
Lei Wan ◽  
Ling Xin ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Mononuclear Cells ◽  
Expression Profiles ◽  
Enzyme Linked Immunosorbent Assay ◽  
Healthy Controls ◽  
Self Perception ◽  
Roc Curve Analysis ◽  
Peripheral Blood Mononuclear ◽  
Related Proteins ◽  
Potential Biomarkers

Abstract Background: The most severe effects of rheumatoid arthritis (RA) are loss of physical function, which may have a significant impact on self-perception of patient (SPP). However, the inherent relationship between SPP and the key proteins is not clear. The aim of this study was to get an insight into SPP of RA in connection with the the apoptosis-related proteins. Methods: We set out to investigate changes of the apoptosis-related proteins expression in the peripheral blood mononuclear cells (PBMCs) of RA. Additionally, we aimed to correlate the apoptosis-related proteins expression profiles with SPP and clinical indexes. To this end, we employed antibody microarrays of the the apoptosis-related proteins in PBMCs from four RA patients and seven healthy controls. We used bioinformatics to screen several the apoptosis-related proteins. To validate key protein candidates, we performed Enzyme linked immunosorbent assay (ELISA) on 30 RA patients and 30 healthy controls. Results: We found the expression of ten the apoptosis-related proteins (caspase3, CD40, SMAC, HSP27, HTRA, IGFBP-1, IGFBP-6, sTNF-R1, sTNF-R2, TRAILR-3) were significantly altered in PBMCs of RA patients. Receiver operating characteristic (ROC) curve analysis suggested that these ten the apoptosis-related proteins are potential biomarkers of RA. Spearman Correlation analysis and Logistic-regression analysis revealed that the 10 selected the apoptosis-related proteins correlated with SPP and clinical indexes. Conclusion: Therefore, we highlight some the apoptosis-related proteins may serve as potential biomarkers in prediction of SPP for RA patients, although the underlying mechanisms need to be further explored.

scholarly journals COVID-19 Severity Potentially Modulated by Cardiovascular-Disease-Associated Immune Dysregulation

Viruses ◽  
2021 ◽  
Vol 13 (6) ◽  
pp. 1018
Author(s):  
Abby C. Lee ◽  
Grant Castaneda ◽  
Wei Tse Li ◽  
Chengyu Chen ◽  
Neil Shende ◽  
...  
Keyword(s):  
Rna Sequencing ◽  
Mononuclear Cells ◽  
Human Peripheral Blood ◽  
Expression Profiles ◽  
Immune Dysregulation ◽  
Left Ventricular ◽  
Recurrent Event ◽  
Healthy Controls ◽  
Sequencing Data ◽  
Peripheral Blood Mononuclear

Patients with underlying cardiovascular conditions are particularly vulnerable to severe COVID-19. In this project, we aimed to characterize similarities in dysregulated immune pathways between COVID-19 patients and patients with cardiomyopathy, venous thromboembolism (VTE), or coronary artery disease (CAD). We hypothesized that these similarly dysregulated pathways may be critical to how cardiovascular diseases (CVDs) exacerbate COVID-19. To evaluate immune dysregulation in different diseases, we used four separate datasets, including RNA-sequencing data from human left ventricular cardiac muscle samples of patients with dilated or ischemic cardiomyopathy and healthy controls; RNA-sequencing data of whole blood samples from patients with single or recurrent event VTE and healthy controls; RNA-sequencing data of human peripheral blood mononuclear cells (PBMCs) from patients with and without obstructive CAD; and RNA-sequencing data of platelets from COVID-19 subjects and healthy controls. We found similar immune dysregulation profiles between patients with CVDs and COVID-19 patients. Interestingly, cardiomyopathy patients display the most similar immune landscape to COVID-19 patients. Additionally, COVID-19 patients experience greater upregulation of cytokine- and inflammasome-related genes than patients with CVDs. In all, patients with CVDs have a significant overlap of cytokine- and inflammasome-related gene expression profiles with that of COVID-19 patients, possibly explaining their greater vulnerability to severe COVID-19.

scholarly journals Peripheral Blood Gene Expression and IgG Glycosylation Profiles as Markers of Tocilizumab Treatment in Rheumatoid Arthritis

2012 ◽  
Vol 39 (5) ◽  
pp. 916-928 ◽  
Author(s):  
BERTALAN MESKO ◽  
SZILARD POLISKA ◽  
SZILVIA SZAMOSI ◽  
ZOLTAN SZEKANECZ ◽  
JANOS PODANI ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Gene Expression ◽  
Peripheral Blood ◽  
Multiple Testing ◽  
Mononuclear Cells ◽  
Expression Profiles ◽  
Quantitative Polymerase Chain Reaction ◽  
Response To Treatment ◽  
Peripheral Blood Mononuclear ◽  
Gene Sets

Objective.Tocilizumab, a humanized anti-interleukin-6 receptor monoclonal antibody, has recently been approved as a biological therapy for rheumatoid arthritis (RA) and other diseases. It is not known if there are characteristic changes in gene expression and immunoglobulin G glycosylation during therapy or in response to treatment.Methods.Global gene expression profiles from peripheral blood mononuclear cells of 13 patients with RA and active disease at Week 0 (baseline) and Week 4 following treatment were obtained together with clinical measures, serum cytokine levels using ELISA, and the degree of galactosylation of the IgG N-glycan chains. Gene sets separating responders and nonresponders were tested using canonical variates analysis. This approach also revealed important gene groups and pathways that differentiate responders from nonresponders.Results.Fifty-nine genes showed significant differences between baseline and Week 4 and thus correlated with treatment. Significantly, 4 genes determined responders after correction for multiple testing. Ten of the 12 genes with the most significant changes were validated using real-time quantitative polymerase chain reaction. An increase in the terminal galactose content of N-linked glycans of IgG was observed in responders versus nonresponders, as well as in treated samples versus samples obtained at baseline.Conclusion.As a preliminary report, gene expression changes as a result of tocilizumab therapy in RA were examined, and gene sets discriminating between responders and nonresponders were found and validated. A significant increase in the degree of galactosylation of IgG N-glycans in patients with RA treated with tocilizumab was documented.

scholarly journals Identification of RRM2 as a Potential Biomarker for the Diagnosis and Prognosis of Rheumatoid Arthritis

2021 ◽  
Author(s):  
Wu Biao ◽  
Yufeng Chen ◽  
Junlong Zhong ◽  
Shuping Zhong ◽  
Bin Wang ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Mononuclear Cells ◽  
Expression Profiles ◽  
Clinical Samples ◽  
Healthy Controls ◽  
Rna Seq ◽  
Hub Genes ◽  
Healthy Human ◽  
Bioinformatics Analyses ◽  
Potential Biomarker

Abstract Background: Rheumatoid arthritis (RA) is a common autoimmune disease that can occur at any age. If treatment is delayed, RA can seriously affect the patients’ quality of life. However, there is no diagnostic criteria for RA and the positive predictive value of the current biomarkers is moderate. Objective: to identify RA-associated susceptibility genes and explore their potential as a novel biomarker for diagnosis and evaluation of the prognosis of RA.Methods: Peripheral blood mononuclear cells (PBMCs) were collected from healthy human donors and RA patients. RNA-seq analyses were performed to identify the differentially expressed genes (DEGs) between RA and control samples. The PBMCs-mRNA in DEGs were further subjected to enrichment analysis. Furthermore, the hub genes and key modules associated with RA were screened by bioinformatics analyses. Then, the expression of hub genes in RA were assessed in mRNA expression profiles. Next, real time-quantitative PCR (RT-qPCR) analyses were performed to further confirm the expression of the hub genes from the PBMCs that collected from 47 patients with RA and 40 healthy controls. Finally, we evaluated the clinical characters for the candidate mRNAs.Results: RNA-seq analyses revealed the expression of 178 mRNAs from PBMCs were disregulated between the healthy controls and the RA patients. Bioinformatics analyses revealed 10 hub mRNAs. The top 3 significant functional modules screened from PPI network functionally were involved in DNA replication origin binding, chemokine activity, etc. After validating the 10 hub mRNAs in GSE93272 dataset and clinical samples, we identified 3 candidate mRNAs, including ASPM, DTL and RRM2. Among which, RRM2 showed great capacity in discriminating between remissive RA and active RA. Significant correlations were observed between DTL and IL-8, TNF-α, between RRM2 and CDAI, DAS-28, tender joints and swollen joints, respectively. The AUC values of ASPM, DTL and RRM2 were 0.654, 0.995 and 0.990, respectively.Conclusion: We successfully identified multiple candidate mRNAs associated with RA. RRM2 showed high diagnosis efficiency with the AUC of 0.990 (sensitivity=100%, specificity=97.5%). And RRM2 severed as an additional biomarker for evaluating disease activity. The findings provided a novel candidate biomarker for diagnosis and evaluation of the prognosis of RA.

scholarly journals 1,25-Dihydroxyvitamin D3 Inhibits the RANKL Pathway and Impacts on the Production of Pathway-Associated Cytokines in Early Rheumatoid Arthritis

2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
Jing Luo ◽  
Hongyan Wen ◽  
Hui Guo ◽  
Qi Cai ◽  
Shuangtian Li ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Signaling Pathway ◽  
Nuclear Factor Kappa B ◽  
Mononuclear Cells ◽  
Enzyme Linked Immunosorbent Assay ◽  
Nuclear Factor ◽  
Peripheral Blood Mononuclear ◽  
Dihydroxyvitamin D3 ◽  
1,25 Dihydroxyvitamin D3 ◽  
Receptor Activator

Objectives. To study effects of 1,25-dihydroxyvitamin D3 (1,25(OH)2D3) on RANKL signaling pathway and pathway-associated cytokines in patients with rheumatoid arthritis (RA).Methods. Receptor activator of nuclear factor-kappa B ligand (RANKL), osteoprotegerin (OPG), IFN-γ, IL-6, TNF-α, IL-17, and IL-4 were examined in 54 patients with incipient RA using a cytometric bead array (CBA) or an enzyme-linked immunosorbent assay (ELISA).Results. After 72 hours of incubation of peripheral blood mononuclear cells (PBMCs) with 1,25(OH)2D3in RA patients, the levels of RANKL, TNF-α, IL-17 and IL-6 significantly decreased compared to those of the control. 1,25(OH)2D3had no significantly impact on the levels of OPG, RANKL/OPG, and IL-4.Conclusions. The present study demonstrated that 1,25(OH)2D3reduced the production of RANKL and the secretion of TNF-α, IL-17, and IL-6 in PBMCs of RA patients, which indicated that 1,25(OH)2D3might be able to decrease damage of cartilage and bone in RA patients by regulating the expression of RANKL signaling pathway and pathway-associated cytokines.

scholarly journals Microarray Expression Profile of Circular RNAs in Peripheral Blood Mononuclear Cells from Rheumatoid Arthritis Patients

2017 ◽  
Vol 42 (2) ◽  
pp. 651-659 ◽  
Author(s):  
Qingqing Ouyang ◽  
Jing Wu ◽  
Zhenlan Jiang ◽  
Jinjun Zhao ◽  
Ran Wang ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Peripheral Blood Mononuclear Cells ◽  
Roc Curve ◽  
Peripheral Blood ◽  
Mononuclear Cells ◽  
Circular Rnas ◽  
Screening Methods ◽  
Roc Curve Analysis ◽  
Peripheral Blood Mononuclear ◽  
Blood Mononuclear Cells

Background/Aims: Circular RNAs (circRNAs) compose a large class of RNAs that can be used as biomarkers in clinical blood samples. This study aimed to determine the expression of circRNAs in peripheral blood mononuclear cells (PBMCs) from rheumatoid arthritis (RA) patients to identify novel biomarkers for RA screening. Methods: We started with a microarray screening of circRNA changes in PBMCs from 5 RA patients and 5 healthy controls. We then confirmed the selected circRNA changes in PBMCs from 30 RA patients and 25 age- and sex-matched controls using the real-time quantitative reverse transcription-polymerase chain reaction (qRT-PCR). Spearman correlation test was performed to assess the correlation of circRNAs and clinical variables. Receiver operating characteristic (ROC) curve was calculated to evaluate the diagnostic value. Results: We identified and verified five circRNAs (092516, 003524, 103047, 104871, 101873) that were significantly elevated in PBMCs from RA patients. Among these RA patients, we detected no significant correlation between the five circRNAs and the disease severity, including disease activity score (DAS28), erythrocyte sedimentation rate (ESR), C-reactive protein (CRP), and health assessment questionnaire (HAQ). Yet, ROC curve analysis suggested that circRNA_104871 has significant value of RA diagnosis (AUC=0.833, P<0.001), followed by circRNA_003524 (AUC = 0.683, P = 0.020), circRNA_101873 (AUC = 0.676, P = 0.026), and circRNA_103047 (AUC = 0.671, P = 0.030). Conclusions: This study suggests that increased expression of circRNAs circRNA_104871, circRNA_003524, circRNA_101873 and circRNA_103047 in PBMC from RA patients may serve as potential biomarkers for RA patient diagnosis.

scholarly journals The Increased RNase Activity of IRE1α in PBMCs from Patients with Rheumatoid Arthritis

2019 ◽  
Vol 9 (3) ◽  
pp. 505-509 ◽  
Author(s):  
Mahdieh Ahmadiany ◽  
Mahshid Alavi-Samani ◽  
Zahra Hashemi ◽  
Mohammad Amin Moosavi ◽  
Marveh Rahmati
Keyword(s):  
Rheumatoid Arthritis ◽  
Er Stress ◽  
Mononuclear Cells ◽  
Gradient Centrifugation ◽  
Rnase Activity ◽  
Healthy Controls ◽  
Peripheral Blood Mononuclear ◽  
Micro Rnas ◽  
Density Gradient Centrifugation Method ◽  
Gene Expression Levels

Purpose: Despite recent advances in the diagnosis and treatment of rheumatoid arthritis (RA), this inflammatory disease remains a challenge to patients and physicians. Recent evidence highlights the contribution of endoplasmic reticulum (ER) stress in the pathogenesis and treatment of RA. Herein, we study the expression of the ER stress sensor inositol-requiring enzyme 1α (IRE1α), as well as XBP1 splicing and the regulated IRE1-dependent decay (RIDD), in peripheral blood mononuclear cells (PBMCs) from patients with RA compared with healthy controls. Methods: The PBMCs from blood samples of RA patients and healthy volunteers were isolated by a density gradient centrifugation method using Ficoll. The gene expression levels of GRP78/ Bip, IRE1, XBP1s, micro-RNAs (miRNAs) were evaluated by real-time PCR. Results: The expression of GRP78, IRE1, and XBP1s were increased in PBMCs of RA patients compared with healthy controls. We further show that the RIDD targets (miRNA-17, -34a, -96, and -125b) were downregulated in RA samples. Conclusion: This study can expand our knowledge on the importance of RNase activity of IRE1α in RA and may offer new potentials for developing novel diagnostic and/or therapeutic biomarkers.

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