Comprehensive assessment of lipoprotein subfraction profiles according to glucose metabolism status, and association with insulin resistance in subjects with early-stage impaired glucose metabolism

Abstract Objective To explore glucose metabolism in rheumatoid arthritis (RA) and its association with insulin resistance (IR) risk factors and disease activity indicators, including matrix metalloproteinase-3 (MMP3). Methods This single-center study included 127 non-diabetic subjects: 90 RA patients and 37 matched controls. IR-related risk factors, disease activity (DAS28-ESR/CRP), concentrations of inflammation markers, MMP3, glucose, specific insulin, and C-peptide (a marker of β-cell secretion) were determined. Homeostasis Model Assessment was used to establish insulin resistance (HOMA2-IR) and sensitivity (HOMA2-%S). Associations of HOMA2 indices with IR-related risk factors, inflammation markers, and RA activity were tested using multiple regression analyses. Results RA patients had significantly increased HOMA2-IR index than controls. In the RA group, multivariate analysis revealed DAS28-ESR, DAS28-CRP, tender joint counts, patient’s global assessment, and MMP3 level as significant positive predictors for HOMA2-IR (β = 0.206, P = 0.014; β = 0.192, P = 0.009; β = 0.121, P = 0.005; β = 0.148, P = 0.007; β = 0.075, P = 0.025, respectively), and reciprocal negative for HOMA2-%S index. According to the value of the coefficient of determination (R2), DAS28-ESR ≥ 5.1 has the largest proportion of variation in both HOMA2-IR indices. DAS28-ESR ≥ 5.1 and ESR were independent predictors for increased C-peptide concentration (β = 0.090, P = 0.022; β = 0.133, P = 0.022). Despite comparability regarding all IR-related risk factors, patients with DAS28-ESR ≥ 5.1 had higher HOMA2-IR than controls [1.7 (1.2–2.5) vs. 1.2 (0.8–1.4), P = 0.000]. There was no difference between patients with DAS28-ESR < 5.1 and controls [1.3 (0.9–1.9) vs. 1.2 (0.8–1.4), P = 0.375]. Conclusions RA activity is an independent risk factor for impaired glucose metabolism. DAS28-ESR ≥ 5.1 was the main contributor to this metabolic disturbance, followed by MMP3 concentration, outweighing the impact of classic IR-related risk factors.

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Association of Insulin Resistance, Plasma Glucose Level, and Serum Insulin Level With Hypertension in a Population With Different Stages of Impaired Glucose Metabolism

Journal of the American Heart Association ◽

10.1161/jaha.119.015546 ◽

2020 ◽

Vol 9 (7) ◽

Author(s):

Nobuo Sasaki ◽

Ryoji Ozono ◽

Yukihito Higashi ◽

Ryo Maeda ◽

Yasuki Kihara

Keyword(s):

Insulin Resistance ◽

Glucose Metabolism ◽

Glucose Level ◽

Plasma Glucose ◽

Plasma Glucose Level ◽

Serum Insulin ◽

Insulin Level ◽

Serum Insulin Level ◽

Impaired Glucose Metabolism

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Association of elevated serum ferritin concentration with insulin resistance and impaired glucose metabolism in Korean men and women

Metabolism ◽

10.1016/j.metabol.2010.03.007 ◽

2011 ◽

Vol 60 (3) ◽

pp. 414-420 ◽

Cited By ~ 94

Author(s):

Chul-Hee Kim ◽

Hong-Kyu Kim ◽

Sung Jin Bae ◽

Joong-Yeol Park ◽

Ki-Up Lee

Keyword(s):

Insulin Resistance ◽

Glucose Metabolism ◽

Serum Ferritin ◽

Elevated Serum ◽

Impaired Glucose Metabolism ◽

Ferritin Concentration ◽

Men And Women ◽

Serum Ferritin Concentration

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Retinol-binding protein 4 levels are elevated in polycystic ovary syndrome women with obesity and impaired glucose metabolism

Acta Endocrinologica ◽

10.1530/eje-07-0143 ◽

2007 ◽

Vol 157 (2) ◽

pp. 201-207 ◽

Cited By ~ 28

Author(s):

Susanne Hahn ◽

Manuel Backhaus ◽

Martina Broecker-Preuss ◽

Susanne Tan ◽

Tiina Dietz ◽

...

Keyword(s):

Insulin Resistance ◽

Glucose Metabolism ◽

Polycystic Ovary Syndrome ◽

Body Fat ◽

Polycystic Ovary ◽

Retinol Binding Protein ◽

Healthy Controls ◽

Impaired Glucose Metabolism ◽

Ovary Syndrome ◽

Retinol Binding Protein 4

Objective: Insulin resistance and obesity are common features of the polycystic ovary syndrome (PCOS). Retinol-binding protein 4 (RBP4), a new fat-derived adipokine, has been described to be elevated in obesity and type 2 diabetes. The aim of the present study was to investigate whether serum RBP4 levels are correlated with metabolic parameters, indices of insulin resistance, and endocrine variables in German PCOS women. Design: We assessed the correlation between metabolic and endocrine parameters with RBP4 levels in 200 PCOS patients and 64 healthy controls. Methods: Serum RBP4 was measured by enzyme-linked immunosorbent assay (Immundiagnostik AG, Bensheim, Germany). In addition, anthropometric variables, clinical signs of hyperandrogenism, and body fat were evaluated, and a glucose tolerance test was performed to assess parameters of insulin resistance and glucose metabolism. Results: Taking the entire PCOS cohort, RBP4 levels were positively correlated with body mass index (BMI), body fat, waist circumference, fasting glucose, and area under the curve for glucose (all P<0.05), but not with indices of insulin resistance. On the other hand, PCOS women with impaired glucose metabolism had higher RBP4 levels than PCOS women with normal glucose metabolism (median 30.6, range 23.3–73.9 versus median 26.3, range 6.4–61.4, P<0.05). Furthermore, no differences were found in RBP4 levels between lean PCOS women and BMI-matched healthy controls. Conclusion: In German PCOS women, serum RBP4 levels are associated with obesity and parameters of glucose metabolism but not with PCOS per se.

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