Assessment of Adipokines, CXCL16 Chemokine Levels in Patients With Rheumatoid Arthritis Combined With Metabolic Syndrome.
Lyudmila Gennadyevna TurgunovaAnna Andreevna ShalyginaJanis Pavlovich ZalkalnsDmitriy Anatolyevich KlyuyevLyudmila Leonidovna AkhmaltdinovaRaushan Sultanovna DosmagambetovaPublished in: Clinical medicine insights. Arthritis and musculoskeletal disorders (2021)
The biomarker study showed the highest level in the RA with MetS patient group; but as compared with the RA group the differences were insignificant. CXCL16 (Me = 426.2 pg/ml (Q25-75 250.5-527.6), resistin (Me = 8685.4 pg/ml (Q25-75 6480.8-13 629.1), and FGF21 (Me = 443.6 pg/ml (Q25-75 772.9-916.3) proved to be significantly augmented in RA with MetS patients group, and in RA without MetS patients group (Me = 312.7 (Q25-75 199.4-517.7) pg/ml; Me = 8265.3 (Q25-75 5779.7-13 340.5) pg/ml; Me = 412.4 (Q25-75 300.4-497.4) pg/ml, respectively) as compared with MetS patients group (Me = 189.4 (Q25-75 130.3-280.6) pg/ml; Me = 5364.8 (Q25-75 2368.9-10 160.9) pg/ml; Me = 133.2 (Q25-75 76.2-268.6) pg/ml, respectively; P = <.001). Leptin level in all groups was higher than in the control group, but there were no differences between groups. The correlation analysis found a positive relationship between the leptin level and the waist circumference (rs = 0.39; P = .007) in the RA with MetS patients, the association of biomarkers with DAS28 score and ESR did not have any statistical significance. Conclusions: The augmented chemokine, resistin and FGF21 in the RA with MetS patients proves the systemic inflammation which is the basis of RA; the augmented leptin is linked to the abdominal obesity. These data are somewhat of an explanation of the increased risk of the CVD development in RA with MetS people. A differentiated specification can be useful to assess the cardiovascular risk of patients and justify prompt personalized treatment.
Keyphrases
- end stage renal disease
- metabolic syndrome
- rheumatoid arthritis
- newly diagnosed
- chronic kidney disease
- ejection fraction
- type diabetes
- body mass index
- machine learning
- adipose tissue
- artificial intelligence
- ankylosing spondylitis
- systemic sclerosis
- case report
- systemic lupus erythematosus
- smoking cessation
- body weight