Spatial and temporal expression of MFRP and its interaction with CTRP5
INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE
Authors: Mandal, Md Nawajes A.; Vasireddy, Vidyullatha; Jablonski, Monica M.; Wang, XiaoFei; Heckenlively, John R.; Hughes, Bret A.; Reddy, G. Bhanuprakash; Ayyagari, Radha
Abstract
PURPOSE. Mutations in the membrane frizzled-related protein ( MFRP) gene cause nanophthalmos in humans, and a splice site mutation causes recessive retinal degeneration in the rd6 mouse. In human and mouse genomes, the MFRP gene lies adjoining to the complement 1q tumor necrosis factor-related protein 5 (CTRP5/C1QTNF5) gene involved in causing retinal degeneration and abnormal lens zonules in human. The purpose of this study was to characterize the spatial and temporal expression of the mouse Mfrp gene, determine tissue and subcellular localization of MFRP protein, and study its interaction with CTRP5. METHODS. Expression of the Mfrp gene in the mouse was studied by quantitative (q) RT-PCR. MFRP protein expression and distribution were studied by Western blot analysis, immunohistochemistry, and immunoelectron microscopy. Interaction with CTRP5 was studied by immunoprecipitation and immunoblot analysis, using mouse eye and human retinal pigmented epithelium (RPE) choroid extracts and by expressing full-length CTRP5 and MFRP in a heterologous system. RESULTS. The Mfrp gene is specifically expressed in RPE and ciliary body (CB), and its expression starts during early stages of embryogenesis. In the albino mouse eye, MFRP is localized to the apical and basal membranes of RPE and ciliary epithelium (CE). In addition, MFRP and CTRP5 were found to colocalize in RPE, CE, and MDCK cells, a general model of polarized epithelia. These proteins interact with each other in ocular tissues and also in a heterologous system. CONCLUSIONS. MFRP is localized to the plasma membrane of CE and RPE, and colocalizes and interacts with CTRP5 indicating a functional relationship between these two proteins.
Genetic risk for metabolic syndrome: examination of candidate gene polymorphisms related to lipid metabolism in Japanese people
JOURNAL OF MEDICAL GENETICS
Authors: Yamada, Y.; Ichihara, S.; Kato, K.; Yoshida, T.; Yokoi, K.; Matsuo, H.; Watanabe, S.; Metoki, N.; Yoshida, H.; Satoh, K.; Aoyagi, Y.; Yasunaga, A.; Park, H.; Tanaka, M.; Lee, W.; Nozawa, Y.
Abstract
Background: The aetiology of metabolic syndrome is complex, being determined by the interplay of both genetic and environmental factors. The aim of this study was to identify genetic polymorphisms that confer susceptibility to metabolic syndrome, to allow prediction of genetic risk for this condition. Methods: The study population comprised 2417 unrelated Japanese subjects ( 1522 with metabolic syndrome and 895 controls). The genotypes for 44 polymorphisms of 31 candidate genes related to lipid metabolism were determined using a combination of PCR and sequence-specific oligonucleotide probes with suspension array technology. Results: The chi(2) test and subsequent multivariate logistic regression analysis with adjustment for age, sex and smoking status found that the -3A -> RG and 553G -> T (Gly185Cys) polymorphisms of APOA5, the 2052T -> C (Val653Val) and 1866C -> T (Asn591Asn) polymorphisms of LDLR, the 13989A -> G (Ile118Val) polymorphism of CYP3A4 and the 1014T -> A polymorphism of C1QTNF5 were significantly ( false discovery rate < 0.05) associated with the prevalence of metabolic syndrome, with the variant alleles of APOA5 and C1QTNF5 representing risk factors for and those of LDLR and CYP3A4 being protective against this condition. Serum levels of triglycerides and high-density lipoprotein (HDL) cholesterol differed significantly (p < 0.05) among APOA5 genotypes; the serum level of HDL cholesterol differed among LDLR genotypes; and the fasting plasma glucose level and body mass index differed between CYP3A4 and C1QTNF5 genotypes, respectively. Conclusions: APOA5, LDLR, CYP3A4 and C1QTNF5 are susceptibility loci for metabolic syndrome in Japanese people. Genotypes for these polymorphisms may prove informative for prediction of genetic risk for metabolic syndrome.