A novel diagnostic model based on lncRNA PTPRE expression, neutrophil count and red blood cell distribution width for diagnosis of seronegative rheumatoid arthritis.

Diagnosis of seronegative rheumatoid arthritis (SNRA) is difficult due to the lack of diagnostic markers. The study aims to construct a novel diagnostic model based on long noncoding RNAs (lncRNAs) expression and laboratory indicators to provide a new idea for diagnostic methods of SNRA. Differentially expressed lncRNAs in peripheral blood cells of RA patients were screened through eukaryotic long noncoding RNA sequencing and validated by quantitative real-time PCR. Meanwhile, the correlation between lncRNAs expression and laboratory indicators was analyzed. The diagnostic value was evaluated by receiver operating characteristic curve analysis. Finally, combined with laboratory indicators, a diagnostic model for SNRA was constructed based on logistic regression and visualized by nomogram. Expression of ADGRE5, FAM157A, PTPN6 and PTPRE in peripheral blood was significantly increased in RA than healthy donors. Meanwhile, we analyzed the relationship between lncRNAs and erythrocyte sedimentation rate, C-reactive protein and CD4 + T cell-related cytokines and transcription factors. Results showed that FAM157A and PTPN6 were positively related to RORγt, and negatively related to GATA3. Moreover, PTPRE has potential discrimination ability between SNRA and healthy donor (AUC = 0.6709). Finally, we constructed a diagnostic model based on PTPRE, neutrophil count and red blood cell distribution width (RDW). The AUC of the model was 0.939 and well-fitted calibration curves. Decision curve analysis indicated the model had better predict performance in SNRA diagnosis. Our study constructed a novel diagnostic model based on PTPRE, neutrophil count and RDW which may serve as a potential tool for the diagnosis of SNRA.

Identification and Development of Synovial B-Cell-Related Genes Diagnostic Signature for Rheumatoid Arthritis.

Background: The aim of the study was to investigate the landscape of B-cell-related gene expression profiling in rheumatoid arthritis (RA) synovium and explore the biological and clinical significance of these genes in RA. Methods: Expression profiling of synovial biopsies from subjects with 152 RA patients, 22 osteoarthritis (OA) patients, and 28 healthy controls was downloaded from the Gene Expression Omnibus database. Single-sample gene set enrichment analysis (ssGSEA) was performed to evaluate the abundance of infiltrated immune cells, and the results were validated using immunohistochemical staining. GSEA was employed to decipher differences in B-cell-related biological pathways. B-cell-related differential expression genes (BRDEGs) were screened, and BRDEGs-based model was developed by machine learning algorithms and evaluated by an external validation set and clinical RA cohort, then biological functions were further analyzed. Results: High levels of immune cell infiltration and B-cell-related pathway activation were revealed in RA synovium. BRDEGs were screened, and three key molecular markers consisting of FAS, GPR183, and TFRC were identified. The diagnosis model was established, and these gene markers have good discriminative ability for RA. Molecular pathological evaluation confirmed RA patients with high-risk scores presented higher levels of B-cell activation and RA characteristics. In addition, a competitive endogenous RNA network was established to elucidate the molecular mechanisms of the posttranscriptional network. Conclusions: We described the B-cell-related molecular landscape of RA synovium and constructed a molecular diagnostic model in RA. The three genes FAS, GPR183, and TFRC may be potential targets for clinical diagnosis and immunoregulatory therapy of RA.

METTL14-Mediated m6A Modification of TNFAIP3 Involved in Inflammation in Patients With Active Rheumatoid Arthritis.

OBJECTIVE: The aim of the study was to investigate the role of N6 -methyladenosine (m6A) modification in the progression of rheumatoid arthritis (RA). METHODS: Peripheral blood mononuclear cells (PBMCs) from patients with RA and healthy controls were collected. The expression of m6A modification-related proteins and m6A levels were detected using polymerase chain reaction (PCR), western blot, and m6A enzyme-linked immunosorbent assay (ELISA). The roles of methyltransferase-like 14 (METTL14) in the regulation of inflammation in RA was explored using methylated RNA immunoprecipitation (MeRIP) sequencing and RNA immunoprecipitation assays. Collagen antibody-induced arthritis (CAIA) mice were used as an in vivo model to study the role of METTL14 in the inflammation progression of RA. RESULTS: We found that m6A writer METTL14 and m6A levels were decreased in PBMCs of patients with active RA and correlated negatively with the disease activity score using 28 joint counts (DAS28). Knockdown of METTL14 downregulated m6A and promoted the secretion of inflammatory cytokines interleukin 6 (IL-6) and IL-17 in PBMCs of patients with RA. Consistently, METTL14 knockdown promoted joint inflammation accompanied by upregulation of IL-6 and IL-17 in CAIA mice. MeRIP sequencing and functional studies confirmed that tumor necrosis factor α induced protein 3 (TNFAIP3), a key suppressor of the nuclear factor-κB inflammatory pathway, was involved in m6A-regulated PBMCs. Mechanistic investigations revealed that m6A affected TNFAIP3 expression by regulation of messenger RNA stability and translocation in TNFAIP3 protein coding sequence. CONCLUSIONS: Our study highlights the critical roles of m6A on regulation of inflammation in RA progression. Treatment strategies targeting m6A modification may represent a new option for management of RA.

CCN1 Promotes Inflammation by Inducing IL-6 Production via α6ß1/PI3K/Akt/NF-κB Pathway in Autoimmune Hepatitis.

Autoimmune hepatitis (AIH) is a chronic inflammatory liver disease with unknown etiology. CCN1, an extracellular matrix-associated protein, is associated with carcinoma, inflammation, liver fibrosis, and even autoimmune diseases. However, the role that CCN1 plays in AIH has remained undetermined. In this study, expression of CCN1 in liver was detected by real-time PCR, western blot and immunohistochemistry (IHC). CCN1 level in serum was detected by ELISA. Diagnostic value of CCN1 was determined by receiver operating characteristic (ROC) curve analysis. CCN1 conditional knockout (CCN1 fl/fl Cre+) mice were generated by mating CCN1 fl/fl C57BL/6J and CAG-Cre-ERT C57BL/6J mice. Autoimmune hepatitis mice model was induced by concanavalin A (ConA). IKKα/ß, IκBα, NF-κB p65 and Akt phosphorylation were determined by western blot. NF-κB p65 nuclear translocation was examined by immunofluorescence. Here, we found that CCN1 was over-expressed in hepatocytes of AIH patients. CCN1 level also increased in serum of AIH patients compared to healthy controls (HC). ROC curve analysis results showed that serum CCN1 was able to distinguish AIH patients from HD. In ConA induced hepatitis mice model, CCN1 conditional knockout (CCN1 fl/fl Cre+) attenuated inflammation by reducing ALT/AST level and IL-6 expression. In vitro, CCN1 treatment dramatically induced IL-6 production in LO2 cells. Moreover, the production of IL-6 was attenuated by CCN1 knockdown. Furthermore, we showed that CCN1 could activate IL-6 production via the PI3K/Akt/NF-κB signaling pathway by binding to α6ß1 receptor. In summary, our results reveal a novel role of CCN1 in promoting inflammation by upregulation of IL-6 production in AIH. Our study also suggests that targeting of CCN1 may represent a novel strategy in AIH treatment.

Identification of circulating miR-22-3p and let-7a-5p as novel diagnostic biomarkers for rheumatoid arthritis.

OBJECTIVES: Early and correct diagnosis would be beneficial for outcomes of rheumatoid arthritis (RA), but there are some limitations in current diagnostic tools. In this study, we aimed to evaluate the diagnostic value of circulating miR-22-3p and let-7a-5p in RA. METHODS: Seventy-six RA patients, 30 systemic lupus erythematosus patients, 32 Sjögren's syndrome patients and 36 healthy donors recruited at the First Affiliated Hospital of Fujian Medical University (China) were included in this study. Circulating miR-22-3p and let-7a-5p in plasma were measured using reverse transcriptase quantitative PCR and serum cytokines were detected by cytometric bead array. The participants' clinical materials were also collected. Receiver operating characteristic curve analysis and correlation analysis were performed to assess the potential value of circulating miRNAs in RA. RESULTS: Circulating miR-22-3p and let-7a-5p are significantly increased in RA patients and able to distinguish RA patients from other populations. Circulating let-7a-5p has been shown to improve the diagnostic ability of current laboratory indicators anti-cyclic citrullinated peptide antibodies and rheumatoid factor. Moreover, the discriminatory capacity of both circulating miRNAs contribute to complement the diagnosis for seronegative RA. Meanwhile, correlation analysis reveals that circulating miR-22-3p positively correlates with haemoglobin, serum bilirubin, albumin and IL-17 but negatively correlates with mean platelet volume as well as let-7a-5p. CONCLUSIONS: The increased circulating miR-22-3p and let-7a-5p levels in RA patients, especially in seronegative RA patients, may provide potential promising diagnostic biomarkers for RA in clinical practice.

Pairwise Biological Network Alignment Based on Discrete Bat Algorithm.

The development of high-throughput technology has provided a reliable technical guarantee for an increased amount of available data on biological networks. Network alignment is used to analyze these data to identify conserved functional network modules and understand evolutionary relationships across species. Thus, an efficient computational network aligner is needed for network alignment. In this paper, the classic bat algorithm is discretized and applied to the network alignment. The bat algorithm initializes the population randomly and then searches for the optimal solution iteratively. Based on the bat algorithm, the global pairwise alignment algorithm BatAlign is proposed. In BatAlign, the individual velocity and the position are represented by a discrete code. BatAlign uses a search algorithm based on objective function that uses the number of conserved edges as the objective function. The similarity between the networks is used to initialize the population. The experimental results showed that the algorithm was able to match proteins with high functional consistency and reach a relatively high topological quality.

[Effect of QTY06 on lipopolysaccharide-induced chronic airway inflammation and MUC5ac secretion in rats].

OBJECTIVE: To investigate the effect of synthetic drug QTY06 on chronic airway inflammation and mucoprotein expression induced by intratracheal (i.t) instillation of lipopolysaccharide (LPS). METHODS: Chronic airway inflammation was induced by i.t instillation of LPS in rats. Phospholipids content and the number of leucocytes in bronchoalveolar lavage fluid (BALF), pathological and immunochemical changes were examined 3 weeks after LPS instillation. The effect of QTY06 on chronic airway inflammation was observed. RESULT: After treatment with QTY06, phospholipids in BALF was significantly increased, and the percentages of neutrophils and lymphocytes were decreased as well as the total number of leucocytes. Compared with the model group, pathological examination showed that tracheitis, bronchitis and pulmonary interstitial inflammation in QTY06 groups were significantly attenuated; epithelial damage was alleviated, infiltration of inflammatory cells reduced and the number of goblet cells decreased. QTY06 significantly decreased MUC5ac expression in trachea and bronchiole epithelium, and reduced the optical density and mucins area (%) as detected by image analysis in rats with chronic airway inflammation. CONCLUSION: QTY06 can reduce and inhibit the chronic airway inflammation induced by LPS in rats, and increase the content of phospholipids in pulmonary surfactant and inhibit the hypersecretion of airway mucins.

[Effect of Spearmint oil on inflammation, oxidative alteration and Nrf2 expression in lung tissue of COPD rats].

OBJECTIVE: To investigate the effect of Spearmint oil on inflammation, oxidative alteration and Nrf2 expression in rats with chronic obstructive pulmonary disease(COPD). METHODS: COPD model was induced by intratracheal instillation of Klebsiella pneumonia and lipopolysaccharide (LPS) for 12 weeks in rats, and COPD rats were treated with Spearmint oil for 3 weeks. After COPD was induced, the pathological changes, changes in leucocyte number in blood and bronchoalveolar lavage fluid (BALF), MDA in lung homogenate and Nrf2 expression were observed. The effects of Spearmint oil on these changes were determined. RESULT: Spearmint oil 100 mg*kg(-1)significantly reduced leucocyte numbers in BALF, and attenuated bronchiolitis, pulmonary interstitial inflammation and inflammation cell infiltration. Spearmint oil 30-300 mg*kg(-1)decreased the destruction of pulmonary alveolus and the thickness of bronchioles walls, and inhibited goblet cell proliferation. Spearmint oil significantly reduced MDA in lung homogenate, and decreased the expression of Nrf2 protein in lung tissues. CONCLUSION: Spearmint oil has protective effect on lung injury in COPD rats, since it improves pulmonary inflammation,oxidative alteration, and enhances Nrf2 protein expression.