Insulin resistance and adverse lipid profile in untreated very early rheumatoid arthritis patients: A single-center, cross-sectional study in China

Non-linear associations between blood glucose, blood lipids and inflammatory markers and new-onset arthritis in the middle-aged and older population - a cohort study in Europe

OBJECTIVE

The arthritis burden increases with aging, while blood glucose, lipid profiles and inflammatory markers may affect the development of arthritis. This study aims to determine the associations between blood markers and rheumatoid arthritis (RA) and osteoarthritis (OA) for better arthritis management.

METHOD

Data from the 6th and 9th wave of the Survey of Health, Ageing, and Retirement in Europe (SHARE) were used. Logistic regression and Cox proportional hazards regression models were used to examine the associations between blood markers and arthritis. Generalized additive models and restricted cubic splines (RCS) were employed to assess non-linear associations.

RESULTS

This study included a total of 14,276 participants. The incidence was 5.80% for OA, and 13.92% for RA. The participants with new-onset OA and RA were more likely to be older, female, and with higher body mass index. The generalized additive model detected nonlinear associations between the incidence of OA and glycated hemoglobin A (HbA1c), and between the incidence of RA and high-density lipoprotein (HDL) and triglycerides (TRG). RCS curves (P-nonlinear < 0.05) showed an increased risk of new-onset OA for HbA1c levels between 4.75% and 5.91% in individuals aged ≤ 65. For those aged>65, HDL levels between 44.99 and 67.42 mg/dL and TRG levels between 265.37 and 1125.06 mg/dL were associated with an increased risks of new-onset RA. Furthermore, total cholesterol, HbA1c, HDL and TRG were associated with the prevalence of arthritis.

CONCLUSION

Monitoring lipid profiles and HbA1c levels in middle-aged and older adults may help to manage arthritis.

The effects of anti-TNF-α biologics on insulin resistance and insulin sensitivity in patients with rheumatoid arthritis: An update systematic review and meta-analysis

BACKGROUND AND AIM

Increasing evidence demonstrates a link between the chronic inflammatory state in patients with rheumatoid arthritis (RA) and the development of insulin resistance. It is thought that anti-TNF-α biologic therapy may improve insulin sensitivity and ameliorate insulin resistance by the downregulation of inflammatory cytokines, however, pre-clinical and clinical studies have yielded conflicting results. A meta-analysis on this topic is necessary to summarize current evidence and generate hypotheses for future research.

METHODS

Literature search was performed in four databases, namely PubMed, EMBASE, Scopus, and The Cochrane Library, from inception till April 9, 2023, querying studies reporting peripheral insulin resistance with and without anti-TNF-α use in patients with RA. Peripheral insulin resistance or sensitivity was quantified by the Homeostasis Model Assessment of Insulin Resistance (HOMA) index or the Quantitative Insulin Sensitivity Check Index (QUICKI) respectively. The difference in insulin resistance or sensitivity between the treatment and control group was calculated using standardized mean difference (SMD) for the purposes of the meta-analysis.

RESULTS

Twelve articles were reviewed, with 10 longitudinal studies with a total of 297 patients included in the meta-analysis. The pooled standardized mean difference (SMD) from baseline HOMA was -0.82 (95% CI: -1.38 to -0.25) suggesting significant beneficial effects of anti-TNF-α therapy on insulin resistance.

CONCLUSION

Current evidence supports the significant clinical efficacy of anti-TNF-α biologics in alleviating insulin resistance and improving insulin sensitivity in patients with active RA.

Changes of peripheral blood α-L-fucosidase activity in patients with rheumatoid arthritis: a cross-sectional study

Background

Rheumatoid arthritis (RA), a systemic autoimmune disease with approximately 1% prevalent population worldwide, which the etiology is still unclear. RA cannot be completely cured at present, which seriously affects the quality of life of patients. This study is to compare the peripheral blood α-L-fucosidase (AFU) between RA and healthy persons.

Methods

A cross-sectional study was performed using total of 96 patients with RA served as case group and another 94 age-matched healthy volunteers served as a control group. AFU assay is detected by continuous monitoring method using Toshiba TBA-120FR (Tokyo, Japan) fully automatic biochemical analyzer in Japan, and the reagent is purchased from Zhejiang Quark Biological Company (Zhejiang, China). Statistical analysis was performed using SPSS 24.0 (SPSS, Inc., Chicago, IL, USA).

Results

AFU activity in peripheral blood of RA patients were lower than healthy controls. The higher AFU activity, the shorter the course of disease (r=-0.2790, P=0.0065). The activity of lactate dehydrogenase in patients with RA is higher than that of healthy control, but the activity of acetylcholinesterase is lower than that of normal people. Finally, AFU activity was negatively correlated with the activity of lactate dehydrogenase (r=-0.2381, P=0.0208) and positively correlated with the activity of acetylcholinesterase (r=0.2985, P=0.0035).

Conclusions

Changes of peripheral blood AFU activity might be associated with progression of disease in RA patients. The changes of AFU activity may lead to disturbances in glucose and lipid metabolism.

Relationship between Triglyceride-Glucose Index and Disease Activity and Subclinical Atherosclerosis in Rheumatoid Arthritis

BACKGROUND

In rheumatoid arthritis (RA), insulin resistance (IR) is related to inflammatory markers, disease activity, and progression of atherosclerotic changes. Triglyceride-glucose (TyG) index is a relatively new indicator of IR.

AIMS

The present study aimed to investigate the relationship between TyG index, disease activity and subclinical atherosclerosis (SCA) in RA patients.

METHODS

The present case-control study included 100 RA patients and 50 age- and sex-matched healthy controls. All participants were subjected to careful history taking through clinical examination and standard laboratory assessment. The TyG index was calculated as TyG index = ln (Fasting triglyceride (mg/dL) × fasting glucose (mg/dL))/2. Carotid intima-media thickness (CIMT) measurement was done using B-mode ultrasound.

RESULTS

Patients had significantly higher TyG index as compared to controls. Patients with high disease activity had significantly higher frequency of extraarticular manifestations (39.6% versus 51.6%, p = 0.028), higher Larsen score (3.8 ± 1.3 versus 2.8 ± 1.2, p < 0.001), higher anti-cyclic citrullinated peptide (anti-CCP) levels (median (IQR): 243.1 (205.0-408.0) U/ml versus 99.0 (78.0-332.5), p < 0.001), higher TyG index (4.8 ± 0.22 versus 4.67 ± 0.24, p = 0.006), and higher CIMT (0.87 ± 0.22 versus 0.77 ± 0.17 mm, p = 0.018). Patients with SCA had higher BMI (34.6 ± 6.2 versus 30.5 ± 5.3 Kg/m2, p < 0.001), higher Larsen score (3.7 ± 1.4 versus 3.1 ± 1.3, p = 0.028) and higher TyG index (4.89 ± 0.23 versus 4.64 ± 0.19, p < 0.001). Binary logistic regression analysis identified patients' age (OR (95% CI): 0.94 (0.89-0.99), p = 0.018), Larsen score (OR (95% CI): 1.93 (1.32-2.82), p = <0.001), anti-CCP (OR (95%): 1.04 (1.02-1.07), p = 0.032), and TyG index (OR (95% CI): 22.67 (2.14-240.4), p = 0.01) as significant predictors of high disease activity in multivariate analysis.

CONCLUSION

IR estimated by the TyG index is related to disease activity and SCA in RA patients.

Association between type 1 diabetes mellitus and ankylosing spondylitis: a two-sample Mendelian randomization study

Objective

The development of ankylosing spondylitis (AS) is closely related to autoimmune system dysfunction. Type 1 diabetes mellitus (T1DM) is an autoimmune disease that is a risk factor for many diseases. This study aimed to investigate the causal relationship between T1DM mellitus and AS genetically.

Methods

A genome-wide association study (GWAS) of causal relationships between exposure (T1DM) and outcome (AS) was performed using summary data from the GWAS database. We conducted a two-sample Mendelian randomization (MR) study of these two diseases. Inverse variance weighting (IVW) was used as the primary analysis method, with MR Egger, weighted median, and weighted mode used as supplementary methods. Sensitivity analyses were performed using Cochran's Q test, MR-Egger intercept, MR-Pleiotropy RESidual Sum and outlier methods, leave-one-out analysis, and funnel plots.

Results

A total of 11 single nucleotide polymorphisms (SNPs)were identified for instrumental variables(IVs) for MR analysis.IVW found that T1DM was causally associated with AS ((IVW: OR = 1.0006 (95% CI 1.0001, 1.0011), p = 0.0057; MR-Egger: OR = 1.0003 (95% CI 0.9995, 1.0012), p = 0.4147; weighted median: OR = 1.0006 (95% CI 1.0003, 1.0008), p = 0.0001; weighted mode: OR = 1.0007 (95% CI 1.0005, 1.0009), p = 0.0001). No horizontal pleiotropy was found for the MR-Egger intercept, and leave -one-out analysis found that the results remained stable after the removal of individual SNPs.

Conclusion

The results of the two-sample MR analysis supported a causal relationship between T1DM and AS risk.