Objective Although IL-10 is generally considered as an anti-inflammatory cytokine, it was recently shown to have detrimental effects on insulin sensitivity and fat cell metabolism in rodents. Whether this also pertains to human white adipose tissue (hWAT) is unclear. We therefore determined the main cellular source and effects of IL-10 on human adipocytes and hWAT-resident immune cells and its link to insulin resistance. Methods Associations between hWAT IL-10 production and metabolic parameters were investigated in 216 participants with large interindividual variations in body mass index and insulin sensitivity. Adipose cells expressing or secreting IL-10 and the cognate IL-10 receptor α (IL10RA) were identified by flow cytometry sorting. Effects on adipogenesis, lipolysis, and inflammatory/metabolic gene expression were measured in two human primary adipocyte models. Secretion of inflammatory cytokines was investigated in cultures of IL-10–treated hWAT macrophages and leukocytes by Luminex analysis (Luminex Corp.). Results IL-10 gene expression and protein secretion in hWAT correlated positively with body mass index (BMI) and homeostasis model assessment-insulin resistance (HOMA-IR). Gene expression analyses in mature fat cells and flow cytometry–sorted hWAT-resident adipocyte progenitors, macrophages, and leukocytes demonstrated that the expression of IL-10 and the IL10RA were significantly enriched in proinflammatory M1 macrophages. In contrast to murine data, functional studies showed that recombinant IL-10 had no effect on adipocyte phenotype. In hWAT-derived macrophages and leukocytes, it induced an anti-inflammatory profile. Conclusion In hWAT, IL-10 is upregulated in proinflammatory macrophages of obese and insulin-resistant persons. However, in contrast to findings in mice, IL-10 does not directly affect human adipocyte function.
Micro RNAs (miRNAs) are promising disease biomarkers due to their high stability. Their expression in serum is altered in type 1 diabetes, but whether deviations exist in individuals with high risk for type 1 diabetes remains unexplored. We therefore assessed serum miRNAs in high-risk individuals (n = 21) positive for multiple islet autoantibodies, age-matched healthy children (n = 17) and recent-onset type 1 diabetes patients (n = 8), using Serum/Plasma Focus microRNA PCR Panels from Exiqon. The miRNA levels in the high-risk group were similar to healthy controls, and no specific miRNA profile was identified for the high-risk group. However, serum miRNAs appeared to reflect glycemic status and ongoing islet autoimmunity in high-risk individuals, since several miRNAs were associated to glucose homeostasis and autoantibody titers. High-risk individuals progressing to clinical disease after the sampling could not be clearly distinguished from non-progressors, while miRNA expression in the type 1 diabetes group deviated significantly from high-risk individuals and healthy controls, perhaps explained by major metabolic disturbances around the time of diagnosis.
11 February 2011 in Clinical Chemistry and Laboratory Medicine (CCLM)
Background: Tacrolimus (Tac) is an immunosuppressive drug used to prevent post-transplant (PT) organ rejection. Continuous Tac monitoring is necessary to adjust the dose and prevent toxicity or rejection. Tac is metabolized by cytochrome-P450 (CYP) enzymes, and variation at the CYP and other drug metabolizing enzymes could influence Tac bio-availability and dose requirements. Our aim was to define the effect of DNA variants at 16 drug metabolising enzymes on Tac dose in patients with kidney transplants. Methods: The REDINREN Pharmacogenetics Project was a multicenter study designed to evaluate the effect of DNA polymorphisms on Tac dose requirements. A total of 200 patients who received a first cadaveric kidney and Tac as primary immunosuppressive drug were genotyped for 96 DNA polymorphisms on 16 genes. Significant associations were further replicated in a second group of 200 patients. The Tac daily dose was adjusted to achieve a blood concentration of 10–15 ng/mL in the period 0–3 months PT, and 5–10 ng/mL thereafter. The dose of tacrolimus dose and blood concentrations were compared between genotypes at 1 week, 6 months, and 1 year PT. Results: The CYP3A5 genotype (SNP rs776746) was the strongest predictor of Tac dose requirements. Patients who were CYP3A5*3*3 (CYP3A5 non-expressors) received significantly higher Tac dose at 1 week, 6 months, and 1 year PT (p<0.0001). At 1 week, 41% of the CYP3A5 non-expressors achieved target blood concentrations compared to 26% of the CYP3A5 expressors (p=0.007). We also found a significant effect of CYP3A4 genotype (SNP rs2740574) on Tac dose requirements in patients who were CYP3A5 non-expressors. None of the other polymorphisms were related to Tac dose requirements or modified the effect of the CYP3A5 genotype. Conclusions: rs776746 (CYP3A5) and rs2740574 (CYP3A4) were the only SNPs associated with Tac dosage. The genotyping of these polymorphisms could be a useful pharmacogenetic tool to determine the Tac dose immediately after transplantation.
Cyclosporine A and tacrolimus (Tac) are inmunosuppresive drugs with a narrow therapeutic range. Underdosing is associated with organ rejection, whereas overdosing could result in toxicity. Therapeutic drug monitoring at different postdose times is necessary to maintain the blood concentrations within a target window. These calcineurin inhibitors are characterized by a broad interindividual pharmacokinetics variability, which makes the determination of the initial dose difficult. In a patient receiving a dose, the amount of the drug that is measured in the blood determines its bioavailability, which depends on the absorption, biotransformation, and elimination of the drug. These processes are primarily controlled by efflux pumps and enzymes of the cytochrome P (CYP) 450 family. DNA variants at the genes encoding these proteins contribute to the interindividual heterogeneity for calcineurin inhibitors metabolism. Cyclosporine A and Tac are metabolized by CYP3A4 and CYP3A5, and several single nucleotide polymorphisms in the two genes have been associated with differences in drug clearance. Carriers of the CYP3A5 wild-type allele have a higher CYP3A5 expression compared with individuals who are homozygous for a common DNA variant that affects gene splicing (CYP3A5*3). For renal transplant recipients receiving Tac, homozygotes for this nonexpression allele would exhibit significantly lower Tac clearance and may require a lower dose to remain within the blood target concentration compared with CYP3A5 expressors. To date, this CYP3A5 variant is the only reported genetic factor to predict the appropiate starting dosage of Tac, avoiding overdosing and improving the outcome of renal transplantation.