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831.
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833.
Bredella MA Torriani M Ghomi RH Thomas BJ Brick DJ Gerweck AV Harrington LM Miller KK 《Obesity (Silver Spring, Md.)》2011,19(5):911-916
Adiponectin, an adipokine secreted by adipocytes, exerts beneficial effects on glucose and lipid metabolism and has been found to improve insulin resistance by decreasing triglyceride content in muscle and liver in obese mice. Adiponectin is found in several isoforms and the high-molecular weight (HMW) form has been linked most strongly to the insulin-sensitizing effects. Fat content in skeletal muscle (intramyocellular lipids, IMCL) and liver (intrahepatic lipids, IHL) can be quantified noninvasively using proton magnetic resonance spectroscopy ((1)H-MRS). The purpose of our study was to assess the relationship between HMW adiponectin and measures of glucose homeostasis, IMCL and IHL, and to determine predictors of adiponectin levels. We studied 66 premenopausal women (mean BMI 31.0 ± 6.6 kg/m(2)) who underwent (1)H-MRS of calf muscles and liver for IMCL and IHL, computed tomography (CT) of the abdomen for abdominal fat depots, dual-energy X-ray absorptiometry (DXA) for fat and lean mass assessments, HMW and total adiponectin, fasting lipid profile and an oral glucose tolerance test (homeostasis model assessment of insulin resistance (HOMA(IR)), glucose and insulin area under the curve). There were strong inverse associations between HMW adiponectin and measures of insulin resistance, IMCL and IHL, independent of visceral adipose tissue (VAT) and total body fat. IHL was the strongest predictor of adiponectin and adiponectin was a predictor of HOMA(IR). Our study showed that in premenopausal obese women HMW adiponectin is inversely associated with IMCL and IHL content. This suggests that adiponectin exerts positive effects on insulin sensitivity in obesity by decreasing intracellular triglyceride content in skeletal muscle and liver; it is also possible that our results reflect effects of insulin on adiponectin. 相似文献
834.
Validation and application of a PCR primer set to quantify fungal communities in the soil environment by real-time quantitative PCR 总被引:1,自引:0,他引:1
Chemidlin Prévost-Bouré N Christen R Dequiedt S Mougel C Lelièvre M Jolivet C Shahbazkia HR Guillou L Arrouays D Ranjard L 《PloS one》2011,6(9):e24166
Fungi constitute an important group in soil biological diversity and functioning. However, characterization and knowledge of fungal communities is hampered because few primer sets are available to quantify fungal abundance by real-time quantitative PCR (real-time Q-PCR). The aim in this study was to quantify fungal abundance in soils by incorporating, into a real-time Q-PCR using the SYBRGreen® method, a primer set already used to study the genetic structure of soil fungal communities. To satisfy the real-time Q-PCR requirements to enhance the accuracy and reproducibility of the detection technique, this study focused on the 18S rRNA gene conserved regions. These regions are little affected by length polymorphism and may provide sufficiently small targets, a crucial criterion for enhancing accuracy and reproducibility of the detection technique. An in silico analysis of 33 primer sets targeting the 18S rRNA gene was performed to select the primer set with the best potential for real-time Q-PCR: short amplicon length; good fungal specificity and coverage. The best consensus between specificity, coverage and amplicon length among the 33 sets tested was the primer set FR1 / FF390. This in silico analysis of the specificity of FR1 / FF390 also provided additional information to the previously published analysis on this primer set. The specificity of the primer set FR1 / FF390 for Fungi was validated in vitro by cloning - sequencing the amplicons obtained from a real time Q-PCR assay performed on five independent soil samples. This assay was also used to evaluate the sensitivity and reproducibility of the method. Finally, fungal abundance in samples from 24 soils with contrasting physico-chemical and environmental characteristics was examined and ranked to determine the importance of soil texture, organic carbon content, C∶N ratio and land use in determining fungal abundance in soils. 相似文献
835.
Allelic frequency and genotypes of prion protein at codon 136 and 171 in Iranian Ghezel sheep breeds
Siamak Salami Reza Ashrafi Zadeh Mir Davood Omrani Fatemeh Ramezani Amir Amniattalab 《朊病毒》2011,5(3):228-231
PrP genotypes at codons 136 and 171 in 120 Iranian Ghezel sheep breeds were studied using allele-specific PCR amplification and compared with the well-known sheep breeds in North America, the United States and Europe. The frequency of V allele and VV genotype at codon 136 of Ghezel sheep breed was significantly lower than AA and AV. At codon 171, the frequency of allele H was significantly lower than Q and R. Despite the similarities of PrP genotypes at codons 136 and 171 between Iranian Ghezel sheep breeds and some of the studied breeds, significant differences were found with others. Planning of effective breeding control and successful eradication of susceptible genotypes in Iranian Ghezel sheep breeds will not be possible unless the susceptibility of various genotypes in Ghezel sheep breeds to natural or experimental scrapie has been elucidated.Key words: scrapie, Ghezel sheep breed, PrP genotyping, allele specific amplification, codon 136, codon 171Scrapie was first described in England in 1732,1 and it is an infectious neurodegenerative fatal disease of sheep and goats belonging to the group of transmissible subacute spongiform encephalopathies (TSEs), along with bovine spongiform encephalopathy (BSE), chronic wasting disease and Creutzfeldt-Jakob disease.2,3 The term prion, proteinaceous infectious particles, coined by Stanley B. Prusiner, was introduced, and he presents the idea that the causal agent is a protein.4 Prion proteins are discovered in two forms, the wild-type form (PrPc) and the mutant form (PrPSc).5 Although scrapie is an infectious disease, the susceptibility of sheep is influenced by genotypes of the prion protein (PrP) gene.2,6 Researchers have found that the PrP allelic variant alanine/arginine/arginine (ARR) at codons 136, 154 and 171 is associated with resistance to scrapie in several breeds.7–14 Most of the sheep populations in the Near East and North African Region (84% of the total population of 255 million) are raised in Iran, Turkey, Pakistan, Sudan, Algeria, Morocco, Afghanistan, Syria and Somalia.15 In 2003, the Iranian sheep population was estimated at 54,000,000 head. The Ghezel sheep breed, which also is known as Kizil-Karaman, Mor-Karaman, Dugli, Erzurum, Chacra, Chagra, Chakra, Gesel, Gezel, Kazil, Khezel, Khizel, Kizil, Qezel, Qizil and Turkish Brown, originated in northwestern Iran and northeastern Turkey. By considering sheep breeds as one of the main sources of meat, dairy products and related products, a global screening attempt is started in different areas. In compliance with European Union Decision 2003/100/EC, each member state has introduced a breeding program to select for resistance to TSEs in sheep populations to increase the frequency of the ARR allele. A similar breeding program is established in United States and Canada. The Near East and North African Region still needs additional programs to help the global plan of eradication of scrapie-susceptible genotypes. The current study was the first to assess the geographical and molecular variation of codons 136 and 171 polymorphism between Iranian Ghezel sheep breed and well-known sheep breeds.Polymorphism at codon 136 is associated with susceptibility to scrapie in both experimental and natural models.10,11,13,16 17 and Austrian Carynthian sheep.18 Swiss White Alpine showed higher frequency of allele V at position 136 than Swiss Oxford Down, Swiss Black-Brown Mountain and Valais Blacknose.19 Comparison of polymorphism at codon 136 in the current study with some of other breeds (20 some flock of Hampshire sheep21 with current study, but the frequency of it is higher than that of some other breeds.
Open in a separate windowIt has been found that a polymorphism at codon 171 also is associated with susceptibility to experimental scrapie in Cheviot sheep16 and natural scrapie in Suffolk sheep.22 As shown in 23 They also found that different breeds show different predominant genotypes in ewes and rams.23 Different PrP genotypes were found at codon 171 in Austrian sheep breeds, but QQ has higher frequency than others.18 In some kinds of Swiss breeds, allelic frequencies of allele Q was higher than R.19 Distribution of prion protein codon 171 genotypes in Hampshire sheep revealed that different flocks shows different patterns.21 The frequency of PrP genotypes at codon 171 in Iranian Ghezel breeds was similar to some sheep breeds, like the Suffolk breed of Oklahoma sheep, but it was completely different from others (PrP genotypes at codon 172 Breed Allelic frequency Genotypes Reference Q R H RR QR QQ QH RH HH Iranian Iranian Ghezel breeds (n = 120) 55.00 43.33 1.67 23.33 36.67 36.67 0.00 3.33 0.00 Current study Oklahoma sheep (n = 334) De Silva, et al.20 Suffolk 40.95 59.05 0.00 37.07 43.97 18.97 0.00 0.00 0.00 Hampshire 51.89 48.11 0.00 21.70 52.83 25.47 0.00 0.00 0.00 Dorset 67.75 31.25 0.00 7.95 46.59 45.45 0.00 0.00 0.00 Montadale 62.96 37.04 0.00 14.81 44.44 40.74 0.00 0.00 0.00 Hampshire (n = 201) 72.14 26.60 1.26 5.00 42.00 50.00 2.00 1.00 0.00 Youngs, et al.21 German Sheep Breeds (n = 660) Kutzer, et al.28 Bleu du Maine 37.8 62.2 0.00 46.96 30.44 22.6 0.00 0.00 0.00 Friesian Milk S. 90.45 8.9 0.65 1.27 15.3 82.8 0.00 0.00 0.64 Nolana 42.3 57.8 0.00 36.62 42.26 21.13 0.00 0.00 0.00 Suffolk 68.4 27.6 4.0 16.1 21.84 55.17 4.6 1.15 1.15 Texel 55.35 29.7 14.9 12.56 26.83 36.36 11.25 7.36 5.63 Swiss Sheep (n = 200) Gmur, et al.19 Swiss Oxford Down 32.00 68.00 - - - - - - - Swiss Black-Brown M. 70.00 30.00 - - - - - - - Valais Blacknose 85.00 15.00 - - - - - - - Swiss White Alpine 27.00 73.00 - - - - - - - Austrian Sheep (n = 112) Sipos, et al.18 Tyrolean mountain sheep 74.30 25.80 0.00 2.90 45.70 51.40 0.00 0.00 0.00 Forest sheep 77.00 19.20 3.80 11.50 15.40 69.20 0.00 0.00 3.80 Tyrolean stone sheep 81.50 14.80 3.70 0.00 29.60 62.90 7.40 0.00 0.00 Carynthian sheep 72.80 23.00 4.20 4.20 41.70 13.00 8.40 0.00 0.00
Table 1
Comparison of PrP allelic and genotype frequencies at codon 136 in different breedsBreed | A (%) | V (%) | AA (%) | AV (%) | VV (%) | Reference |
Iranian Ghezel breeds (n = 120) | 77.50 | 22.5 | 65.00 | 25.00 | 10.00 | Current study |
Oklahoma sheep (n = 334) | De Silva, et al.27 | |||||
Suffolk | 99.24 | 0.76 | 98.48 | 1.52 | 0.00 | |
Hampshire | 100 | 0.00 | 100 | 0.00 | 0.00 | |
Dorset | 92.6 | 7.94 | 87.30 | 9.52 | 3.17 | |
Montadale | 77.66 | 22.34 | 59.57 | 36.17 | 4.26 | |
Hampshire (n = 48) | 93.75 | 6.25 | 88.00 | 12.00 | 0.00 | Youngs, et al.21 |
German Sheep Breeds (n = 660) | 92.89 | 7.11 | 87.80 | 10.47 | 1.73 | Kutzer, et al.28 |
Bleu du Maine | 83.47 | 16.53 | 69.56 | 27.83 | 2.61 | |
Friesian Milk S. | 100 | 0.00 | 100 | 0.00 | 0.00 | |
Nolana | 90.13 | 9.87 | 85.90 | 8.46 | 5.64 | |
Suffolk | 100 | 0.00 | 100 | 0.00 | 0.00 | |
Texel | 90.87 | 9.13 | 82.16 | 17.41 | 0.43 | |
Swiss Sheep (n = 200) | 92.5 | 7.5 | Gmur, et al.19 | |||
Swiss Oxford Down | 93.00 | 7.00 | - | - | - | |
Swiss Black-Brown M. | 99.00 | 1.00 | - | - | - | |
Valais Blacknose | 100 | 0.00 | - | - | - | |
Swiss White Alpine | 88.00 | 22.00 | - | - | - | |
Austrian Sheep (n = 112) | 98.95 | 1.05 | 98.95 | 0.00 | 1.05 | Sipos, et al.18 |
Tyrolean mountain sheep | 100 | 0.00 | 100 | 0.00 | 0.00 | |
Forest sheep | 100 | 0.00 | 100 | 0.00 | 0.00 | |
Tyrolean stone sheep | 100 | 0.00 | 100 | 0.00 | 0.00 | |
Carynthian sheep | 95.80 | 4.20 | 95.80 | 0.00 | 4.20 |