Emerging aspects of molecular biomarkers for diagnosis, prognosis and treatment response in rheumatoid arthritis

The Lnc-ENST00000602558/IGF1 axis as a predictor of response to treatment with tripterygium glycosides in rheumatoid arthritis patients

AIMS

Growing clinical evidence suggests that not all patients with rheumatoid arthritis (RA) benefit to the same extent by treatment with tripterygium glycoside (TG), which highlights the need to identify RA-related genes that can be used to predict drug responses. In addition, single genes as markers of RA are not sufficiently accurate for use as predictors. Therefore, there is a need to identify paired expression genes that can serve as biomarkers for predicting the therapeutic effects of TG tablets in RA.

METHODS

A total of 17 pairs of co-expressed genes were identified as candidates for predicting an RA patient's response to TG therapy, and genes involved in the Lnc-ENST00000602558/GF1 axis were selected for that purpose. A partial-least-squares (PLS)-based model was constructed based on the expression levels of Lnc-ENST00000602558/IGF1 in peripheral blood. The model showed high efficiency for predicting an RA patient's response to TG tablets.

RESULTS

Our data confirmed that genes co-expressed in the Lnc-ENST00000602558/IGF1 axis mediate the efficacy of TG in RA treatment, reduce tumor necrosis factor-α induced IGF1 expression, and decrease the inflammatory response of MH7a cells.

CONCLUSION

We found that genes expressed in the Lnc-ENST00000602558/IGF1 axis may be useful for identifying RA patients who will not respond to TG treatment. Our findings provide a rationale for the individualized treatment of RA in clinical settings.

Towards Better Sinomenine-Type Drugs to Treat Rheumatoid Arthritis: Molecular Mechanisms and Structural Modification

Sinomenine is the main component of the vine Sinomenium acutum. It was first isolated in the early 1920s and has since attracted special interest as a potential anti-rheumatoid arthritis (RA) agent, owing to its successful application in traditional Chinese medicine for the treatment of neuralgia and rheumatoid diseases. In the past few decades, significant advances have broadened our understanding of the molecular mechanisms through which sinomenine treats RA, as well as the structural modifications necessary for improved pharmacological activity. In this review, we summarize up-to-date reports on the pharmacological properties of sinomenine in RA treatment, document their underlying mechanisms, and provide an overview of promising sinomenine derivatives as potential RA drug therapies.

Proinflammatory Cytokines (IL-1, -6, -8, -15, -17, -18, -23, TNF-α) Single Nucleotide Polymorphisms in Rheumatoid Arthritis-A Literature Review

Conducted studies highlight that a mixture of genetic and environmental factors is responsible for rheumatoid arthritis (RA) development. This study aimed to analyze the available literature for the relationship between, on the one hand, single-nucleotide polymorphisms (SNPs) in the proinflammatory cytokines genes interleukin-1 (IL-1), -6, -8, -15, -17, -18, and -23, and tumor necrosis factor-alpha (TNF-α), and on the other hand, RA susceptibility, severity, and patients' response to applied treatment. The PubMed database was searched for sources. Preference was given to articles which were published within the past 20 years. Data indicate that the relationship between selected SNPs in proinflammatory cytokines genes and susceptibility to developing RA is inconclusive, and it depends on the ethnicity of the population. Although the allelic and genotypic frequencies of many SNPs in proinflammatory cytokines genes analyzed did not differ between RA patients and healthy controls, deeper analysis showed that these polymorphisms have a relationship with clinicopathological features of RA. SNPs in proinflammatory cytokines genes also "modify patients' response" to applied treatment. Further studies, on larger cohorts of subjects and in different populations, should be conducted to elucidate the role of SNPs in IL-1, -6, -8, -15, -17, -18, and -23, and TNF-α genes in RA patients.

NMR-based untargeted metabolomics approach to investigate the systemic lipid metabolism regulation of norisoboldine in collagen-induced arthritis rats

Norisoboldine (NOR), an isoquinoline alkaloid, has previously been shown to ameliorate collagen-induced arthritis (CIA) by modulating the function of multiple cells such as T lymphocytes and fibroblast-like synoviocytes. To further study its anti-arthritis mechanism, the effect of NOR on the systemic metabolism regulation was investigated using an NMR-based untargeted metabolomics approach. CIA model rats were orally administered with NOR (30 mg/kg) for 14 consecutive days. The alterations of endogenous metabolites in the urine samples were quantified by 1H NMR. While NOR significantly mitigated CIA in rats as evidenced by the reduced clinical scores and histopathological changes, the results indicated that the treatment restored the levels of 22 metabolites that were significantly changed by arthritis, and most of which were related to lipid metabolism. Further studies demonstrated that NOR up-regulated the expression of carnitine palmitoyltransferase 1 (CPT-1) and down-regulated the expression of fatty acid synthase (FASN) in the spleens and the synovial tissues of CIA rats. Together these results revealed a strong association between RA and the system in metabolic disorders. The differential metabolites and their related pathways may also serve as novel therapeutic targets for RA.

Objective and noninvasive biochemical markers in rheumatoid arthritis: where are we and where are we going?

INTRODUCTION

Rheumatoid arthritis (RA) is a chronic autoimmune disease that affects approximately 1% of the adult population. RA is multi-factorial, and as such our understanding of the molecular pathways involved in the disease is currently limited. An increasing number of studies have suggested that several molecular phenotypes (i.e. endotypes) of RA exist, and that different endotypes respond differently to various treatments. Biochemical markers may be an attractive means for achieving precision medicine, as they are objective and easily obtainable.

AREAS COVERED

We searched recent publications on biochemical markers in RA as either diagnostic or prognostic markers, or as markers of disease activity. Here, we provide a narrative overview of different classes of markers, such as autoantibodies, citrulline products, markers of tissue turnover and cytokines, that have been tested in clinical cohorts or trials including RA patients.

EXPERT OPINION

Although many biochemical markers have been identified and tested, few are currently being used in clinical practice. As more treatment options are becoming available, the need for precision medicine tools that can aid physicians and patients in choosing the right treatment is growing.

Preclinical Evaluation of a Novel 99mTc-Labeled CB86 for Rheumatoid Arthritis Imaging

Early diagnosis and therapy are crucial to control disease progression optimally and achieve a good prognosis in rheumatoid arthritis (RA). Previous study showed that a technetium-99m (^99mTc)-labeled TSPO ligand (^99mTc-CB256 [2-(8-(2-(bis(pyridin-2-yl)methyl)amino)acetamido)-2-(4-chlorophenyl)H-imidazo[1,2-a]pyridin-3-yl)-N,N-dipropylacetamide] composed of a translocator protein (TSPO) ligand CB86 [[2-(4-chlorophenyl)-8-amino-imidazo[1,2-a]-pyridin-3-yl]-N,N-di-n-propylacetamide] and di-(2-picolyl)amine, a bifunctional chelate agent, was used to image a TSPO-rich cancer cell in vitro; however, few ^99mTc-CB256 in vivo evaluation has been reported so far probably due to the cytotoxicity of CB256 (ca. 75 times more than analogous CB86). Herein, we describe a novel TSPO targeting radiopharmaceutical consisting of CB86 and diethylenetriaminepentaacetic acid (DTPA), a conventional bifunctional chelating ligand in clinical trials used to prepare ^99mTc-labeled CB86, and its evaluation as a ^99mTc-single-photon emission computed tomography (SPECT) probe. The radiosynthesis and characterization of ^99mTc-DPTA-CB86 including hydrophilicity and stability tests were determined. Additionally, the binding affinity and specificity of ^99mTc-DTPA-CB86 to TSPO were evaluated using RAW264.7 macrophage cells. Biodistribution and ^99mTc-SPECT studies were conducted on rheumatoid arthritis (RA) rat models after the injection of ^99mTc-DTPA-CB86 with or without co-injection of unlabeled DTPA-CB86. The radiosynthesis of ^99mTc-DTPA-CB86 was completed successfully with the labeling yields and radiochemical purity of 95.86 ± 2.45 and 97.45 ± 0.69%, respectively. The probe displayed good stability in vitro and binding specificity to RAW264.7 macrophage cells. In the biodistribution studies, ^99mTc-DTPA-CB86 exhibited rapid inflammatory ankle accumulation. At 180 min after administration, ^99mTc-DTPA-CB86 uptakes of the left inflammatory ankle were 2.35 ± 0.10 percentage of the injected radioactivity per gram of tissue (% ID/g), significantly higher than those of the normal tissues. ^99mTc-SPECT imaging studies revealed that ^99mTc-DTPA-CB86 could clearly identify the left inflammatory ankle with good contrast at 30-180 min after injection. Therefore, ^99mTc-DTPA-CB86 may be a promising probe for arthritis ^99mTc-SPECT imaging.

A network pharmacology approach to explore the potential targets underlying the effect of sinomenine on rheumatoid arthritis

OBJECTIVE

To explore the potential targets underlying the effect of sinomenine (SIN) on rheumatoid arthritis (RA) by utilizing a network pharmacology approach.

METHODS

SIN and its drug targets were identified using network analysis followed by experimental validation. First, the Pharmmapper, UniProt and GeneCards databases were mined for information relevant to the prediction of SIN targets and RA-related targets. Second, the SIN-target gene and SIN-RA target gene networks were created in Cytoscape software followed by the collection of the candidate targets of each component by R software. Eventually, the key targets and enriched pathways were examined by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis.

RESULTS

Sixty-seven potential targets of SIN and 3797 related targets involved in RA were subjected to network analysis, and the 20 intersection targets indicated the principal pathways linked to RA. Additionally, 16 key targets, which were linked to more than three genes, were determined to be crucial genes. GO analysis showed that 14 biological processes, 5 cellular components and 2 molecular functions were identified, when corrected by a P value ≤ 0.01. Seven related signaling pathways were identified by KEGG analysis, when corrected according to a Bonferroni P value ≤ 0.05.

CONCLUSION

The present study explored the potential targets and signaling pathways of SIN during the treatment of RA, which may help to illustrate the mechanism (s) involved in the action of SIN and may provide a better understanding of its anti-rheumatoid arthritis effects in terms of inhibiting angiogenesis, synovial hyperplasia, and bone destruction.

A novel gene-expression-signature-based model for prediction of response to Tripterysium glycosides tablet for rheumatoid arthritis patients

Background

Approximately 30% of rheumatoid arthritis (RA) patients treated with Tripterysium glycosides (TG) tablets fail to achieve clinical improvement, implying the essentiality of predictive biomarkers and tools. Herein, we aimed to identify possible biomarkers predictive of therapeutic effects of TG tablets in RA.

Methods

Gene expression profile in peripheral blood mononuclear cells obtained from a discovery cohort treated with TG tablets was detected by Affymetrix EG1.0 arrays. Then, a list of candidate gene biomarkers of response to TG tablets were identified by integrating differential expression data analysis and gene signal transduction network analysis. After that, a partial-least-squares (PLS) model based on the expression levels of the candidate gene biomarkers in RA patients was constructed and evaluated using a validation cohort.

Results

Six candidate gene biomarkers (MX1, OASL, SPINK1, CRK, GRAPL and RNF2) were identified to be predictors of TG therapy. Following the construction of a PLS-based model using their expression levels in peripheral blood, both the 5-fold cross-validation and independent dataset validations showed the high predictive efficiency of this model, and demonstrated a distinguished improvement of the PLS-model based on six candidate gene biomarkers’ expression in combination over the commonly used clinical and inflammatory parameters, as well as the gene biomarkers alone, in predicting RA patients’ response to TG tablets.

Conclusions

This hypothesis-generating study identified MX1, OASL, SPINK1, CRK, GRAPL and RNF2 as novel targets for RA therapeutic intervention, and the PLS model based on the expression levels of these candidate biomarkers may have a potential prognostic value in RA patients treated with TG tablets.

Electronic supplementary material

The online version of this article (10.1186/s12967-018-1549-9) contains supplementary material, which is available to authorized users.