Abnormal Glucose Metabolism in Rheumatoid Arthritis

Pi, Huifeng; Zhou, Haotong; Jin, Huan; Ning, Y.N.; Wang, Youlian

doi:10.1155/2017/9670434

Cited by 38 publications

(22 citation statements)

References 70 publications

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“…uric acid, C-reactive protein (CRP), glucose and total protein levels, with RA has been reported. For example patients with progressive RA are considered to be at risk of having high serum uric acid [20], CRP levels [21] and abnormal glucose metabolism [22]. In line with these findings we also observed high CRP levels in RA patients.…”

Section: Discussionsupporting

confidence: 89%

Genotypic Analysis Revealed Association of HLA Alleles with Clinical Parameters in Bangladeshi Patients with Rheumatoid Arthritis

Shaona¹,

Hassan²,

Chakraborty³

et al. 2019

AJMB

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This study investigated distribution of HLA alleles (HLADRB1*01, *03, *04, *07, HLA-DQB1*0201, *0301/4) in 34 healthy controls and 57 rheumatoid arthritis (RA) patients in a Bangladeshi population and correlated the genotypic frequencies with clinical parameters. Frequency distribution of HLA-DRB1*04 (34%) and HLA-DRB1*01 (32%) were the highest followed by HLA-DQB1*0301/4 (29%) and HLA-DQB1*0201 (26%) in RA patients while HLA-DRB1*03 (12%) had lowest frequency. Plasma level of anti-CCP and rheumatoid factor antibodies confirmed diagnosis of RA patients that varied significantly between patients and healthy controls. Likewise, plasma levels of C-reactive protein, triglycerides, cholesterol, HDL-cholesterol and activities of AST and ALT exhibited significant variation between the two groups. In contrast, the levels of glucose, total protein, uric acid, LDL-cholesterol and plasma activity of ALP in RA patients had no significant deviations from healthy controls. Relationship between HLA genotype frequency and clinical parameters revealed that the mean levels of anti-CCP and rheumatoid factor antibodies were highest in the patients harboring HLA-DRB1*04 allele. These findings underpin the correlation between HLA genotype with clinical markers of RA which are indicative of disease severity. The positive correlation of these markers with certain HLA genes may be used to identify susceptible individuals who are likely to have RA in Bangladeshi population.

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Section: Discussionsupporting

confidence: 89%

Genotypic Analysis Revealed Association of HLA Alleles with Clinical Parameters in Bangladeshi Patients with Rheumatoid Arthritis

Shaona¹,

Hassan²,

Chakraborty³

et al. 2019

AJMB

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“…In addition, similar to SLE disease, in RA neutrophils also exhibit increased expression of inferron genes (152) and spontaneous NETosis (123). Furthermore, RA patients with altered glucose metabolism usually have a high risk of diabetes due to insulin resistance and impaired beta cell function (153). Neutrophil metabolic regulations in rheumatoid arthritis also remain less investigated.…”

Section: Metabolic Adaptations In Neutrophils During Pathological Conmentioning

confidence: 99%

Metabolic Insight of Neutrophils in Health and Disease

2019

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Neutrophils are the most abundant, short lived, and terminally differentiated leukocytes with distinct tiers of arsenals to counter pathogens. Neutrophils were traditionally considered transcriptionally inactive cells, but recent researches in the field led to a paradigm shift in neutrophil biology and revealed subpopulation heterogeneity, and functions pivotal to immunity and inflammation. Furthermore, recent unfolding of metabolic plasticity in neutrophils has challenged the long-standing concept of their sole dependence on glycolytic pathway. Metabolic adaptations and distinct regulations have been identified which are critical for neutrophil differentiation and functions. The metabolic reprogramming of neutrophils by inflammatory mediators or during pathologies such as sepsis, diabetes, glucose-6-phosphate dehydrogenase deficiency, glycogen storage diseases (GSDs), systemic lupus erythematosus (SLE), rheumatoid arthritis, and cancer are now being explored. In this review, we discuss recent developments in understanding of the metabolic regulation, that may provide clues for better management and newer therapeutic opportunities for neutrophil centric immuno-deficiencies and inflammatory disorders.

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“…RP11-498C9.15 also targeted enriched pathways involved in glucose metabolism like “insulin” and “insulin growth factor (IGF1)” signalling. The activation of these pathways may reflect the abnormal glucose metabolism that characterizes a good percentage of RA patients [57] and has been correlated with the degree of systemic inflammation [58]. In addition, it has been observed that the pro-inflammatory cytokine TNF may promote insulin resistance by phosphorylation of the insulin receptor [59].…”

Section: Resultsmentioning

confidence: 99%

Long Non-Coding RNAs Target Pathogenetically Relevant Genes and Pathways in Rheumatoid Arthritis

Dolcino

Tinazzi

Puccetti

et al. 2019

Cells

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Rheumatoid arthritis (RA) is a chronic inflammatory autoimmune disease driven by genetic, environmental and epigenetic factors. Long non-coding RNAs (LncRNAs) are a key component of the epigenetic mechanisms and are known to be involved in the development of autoimmune diseases. In this work we aimed to identify significantly differentially expressed LncRNAs (DE-LncRNAs) that are functionally connected to modulated genes strictly associated with RA. In total, 542,500 transcripts have been profiled in peripheral blood mononuclear cells (PBMCs) from four patients with early onset RA prior any treatment and four healthy donors using Clariom D arrays. Results were confirmed by real-time PCR in 20 patients and 20 controls. Six DE-LncRNAs target experimentally validated miRNAs able to regulate differentially expressed genes (DEGs) in RA; among them, only FTX, HNRNPU-AS1 and RP11-498C9.15 targeted a large number of DEGs. Most importantly, RP11-498C9.15 targeted the largest number of signalling pathways that were found to be enriched by the global amount of RA-DEGs and that have already been associated with RA and RA–synoviocytes. Moreover, RP11-498C9.15 targeted the most highly connected genes in the RA interactome, thus suggesting its involvement in crucial gene regulation. These results indicate that, by modulating both microRNAs and gene expression, RP11-498C9.15 may play a pivotal role in RA pathogenesis.

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Abnormal Glucose Metabolism in Rheumatoid Arthritis

Cited by 38 publications

References 70 publications

Genotypic Analysis Revealed Association of HLA Alleles with Clinical Parameters in Bangladeshi Patients with Rheumatoid Arthritis

Genotypic Analysis Revealed Association of HLA Alleles with Clinical Parameters in Bangladeshi Patients with Rheumatoid Arthritis

Metabolic Insight of Neutrophils in Health and Disease

Long Non-Coding RNAs Target Pathogenetically Relevant Genes and Pathways in Rheumatoid Arthritis

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