CRTC2 polymorphism as a risk factor for the incidence of metabolic syndrome in patients with solid organ transplantation.
L QuteinehP-Y BochudD GolshayanS CrettolJ-P VenetzO ManuelZoltán KutalikAndrea TreyerR LehmannN J MuellerI BinetC van DeldenJ SteigerP MohacsiJ-F DufourP M SoccalM PascualC B Eapnull nullPublished in: The pharmacogenomics journal (2015)
Metabolic syndrome after transplantation is a major concern following solid organ transplantation (SOT). The CREB-regulated transcription co-activator 2 (CRTC2) regulates glucose metabolism. The effect of CRTC2 polymorphisms on new-onset diabetes after transplantation (NODAT) was investigated in a discovery sample of SOT recipients (n1=197). Positive results were tested for replication in two samples from the Swiss Transplant Cohort Study (STCS, n2=1294 and n3=759). Obesity and other metabolic traits were also tested. Associations with metabolic traits in population-based samples (n4=46'186, n5=123'865, n6>100,000) were finally analyzed. In the discovery sample, CRTC2 rs8450-AA genotype was associated with NODAT, fasting blood glucose and body mass index (Pcorrected<0.05). CRTC2 rs8450-AA genotype was associated with NODAT in the second STCS replication sample (odd ratio (OR)=2.01, P=0.04). In the combined STCS replication samples, the effect of rs8450-AA genotype on NODAT was observed in patients having received SOT from a deceased donor and treated with tacrolimus (n=395, OR=2.08, P=0.02) and in non-kidney transplant recipients (OR=2.09, P=0.02). Moreover, rs8450-AA genotype was associated with overweight or obesity (n=1215, OR=1.56, P=0.02), new-onset hyperlipidemia (n=1007, OR=1.76, P=0.007), and lower high-density lipoprotein-cholesterol (n=1214, β=-0.08, P=0.001). In the population-based samples, a proxy of rs8450G>A was significantly associated with several metabolic abnormalities. CRTC2 rs8450G>A appears to have an important role in the high prevalence of metabolic traits observed in patients with SOT. A weak association with metabolic traits was also observed in the population-based samples.
Keyphrases
- metabolic syndrome
- blood glucose
- insulin resistance
- body mass index
- weight gain
- type diabetes
- weight loss
- genome wide
- small molecule
- glycemic control
- newly diagnosed
- cell therapy
- high fat diet induced
- physical activity
- cardiovascular disease
- stem cells
- high throughput
- high fat diet
- gene expression
- cardiovascular risk factors
- skeletal muscle
- prognostic factors
- kidney transplantation
- inflammatory response
- high resolution
- nuclear factor