ABSTRACT
BACKGROUND: Recently, long non-coding RNAs (lncRNAs) have attracted substantial attention owing to their unforeseen critical roles in a wide range of biological processes. The aim of our study was to provide an overview of lncRNA expression profiles in plasma of RA patients. METHODS: The Agilent LncRNA + mRNA Human Gene Expression Microarray V4.0 was employed to determine differentially expressed (DE) lncRNAs and mRNAs in plasma of four female newly diagnosed and DMARD-naïve RA patients and four female age-matched healthy controls. The KOBAS (KEGG Orthology Based Annotation System) software was applied to determine the gene ontology (GO) terms and pathway in which the DE mRNAs were enriched. Furthermore, a lncRNA-mRNA co-expression network was constructed according to the correlation between DE lncRNAs and mRNAs. RESULTS: Compared with healthy controls, a total of 289 DE lncRNAs (169 up-regulated and 120 down-regulated) and 468 DE mRNAs (280 up-regulated and 188 down-regulated) were found in the plasma of patients with RA. Bioinformatics analysis indicated that the DE mRNAs might be involved in the pathogenesis of RA mainly through platelets. In addition, a co-expression network composed of 229 network nodes and 340 connections between 116 lncRNAs and 113 mRNAs was constructed. CONCLUSIONS: We characterized the plasma lncRNA expression profiles in RA patients for the first time. Our results could shed new light on the pathogenesis of RA and help identify lncRNAs as novel diagnostic biomarkers and therapeutic targets for RA.
Subject(s)
Arthritis, Rheumatoid/genetics , Biomarkers/metabolism , Gene Expression Profiling/methods , Oligonucleotide Array Sequence Analysis/methods , RNA, Long Noncoding/genetics , Adult , Arthritis, Rheumatoid/blood , Arthritis, Rheumatoid/diagnosis , Biomarkers/blood , Computational Biology , Female , Gene Ontology , Gene Regulatory Networks/genetics , Humans , Middle Aged , RNA, Long Noncoding/blood , RNA, Messenger/blood , RNA, Messenger/genetics , Signal Transduction/geneticsABSTRACT
BACKGROUND: Emerging evidence indicates that some hematological markers have critical value in evaluating treatment response. This study was performed to determine the clinical value of hemoglobin (Hb), platelet (Plt), neutrophil-to-lymphocyte ratio (NLR), and platelet-to-lymphocyte ratio (PLR) in rheumatoid arthritis (RA) patients treated with tocilizumab (TCZ). METHODS: Fifty-two RA patients receiving TCZ were recruited and followed for 6 months. The values of abovementioned hematological markers were collected. Clinical disease activity index (CDAI) and disease activity score based on 28 joints (DAS28)-ESR were calculated. Correlation analysis was conducted by calculating Pearson's correlation coefficient. The change in disease activity between groups according to the baseline level of hematological markers was compared by t test. RESULTS: Significant correlation between change in NLR (â³NLR), change in PLR (â³PLR), and change in CDAI (â³CDAI) was found (â³NLR: r = 0.30, P = 0.03; â³PLR: r = 0.31, P = 0.03). The change in Plt (â³Plt) was correlated with change in DAS28-ESR (â³DAS28-ESR) (r = 0.36, P = 8.24 × 10-3 ). Greater improvement in CDAI was seen in patients categorized into Plt high group (t = 2.06, P = 0.04), NLR high group (t = 2.15, P = 0.04), and PLR high group (t = 2.41, P = 0.02) compared with the contrast group. CONCLUSION: Our study demonstrated that â³Plt, â³NLR, and â³PLR could be used to monitor the clinical response to TCZ. RA patients with high baseline levels of Plt, NLR, and PLR achieved more improvement, indicating these hematological markers might be utilized to guide TCZ treatment.
Subject(s)
Antibodies, Monoclonal, Humanized/therapeutic use , Arthritis, Rheumatoid/blood , Arthritis, Rheumatoid/drug therapy , Biomarkers/blood , Adult , Arthritis, Rheumatoid/etiology , Female , Hemoglobins/analysis , Humans , Lymphocyte Count , Male , Middle Aged , Neutrophils/drug effects , Platelet Count , Prospective Studies , Treatment OutcomeABSTRACT
OBJECTIVES: This study aims to determine whether baseline body mass index (BMI) affects clinical response to tocilizumab (TCZ) after six months of treatment in rheumatoid arthritis (RA) patients. PATIENTS AND METHODS: In this prospective study, a total of 52 RA patients (10 males, 42 females; mean age 50.6±12.2 years; range, 23 to 73 years) receiving intravenous TCZ were consecutively recruited and followed-up for six months. BMI was calculated before initiation of TCZ treatment. The primary clinical response criterion was clinical disease activity index (CDAI) low disease activity (LDA) and the secondary clinical response criteria included CDAI remission, disease activity score based on 28 joints (DAS28)-erythrocyte sedimentation rate (ESR) LDA, DAS28-ESR remission, European League Against Rheumatism (EULAR) good response, and decreased DAS28-ESR (ΔDAS28-ESR)≥1.2. RESULTS: The number of RA patients classified as normal weight, overweight, and obese according to baseline BMI was 38 (73.1%), eight (15.4%), and six (11.5%), respectively. Similar baseline BMI median levels were found between RA patients reaching CDAI LDA and non-LDA: 21.11 (18.94-23.72) versus 20.78 (20.03-22.29) (p=0.98), and non-significant difference in the proportion of responders between normal weight and overweight/obese RA patients was found (p=0.47). No significant difference was found when the secondary clinical response criteria were applied. CONCLUSION: Our study demonstrates that BMI is not associated with clinical response to TCZ among RA patients and TCZ may be used to treat RA patients regardless of BMI levels.
