Use of polymerase chain reaction for apolipoprotein E genotyping in a preliminary study on subjects with coronary heart disease or hyperlipidaemia

1990 ◽  
Vol 22 ◽  
pp. S58
Keyword(s):  
Coronary Heart Disease ◽  
Polymerase Chain Reaction ◽  
Heart Disease ◽  
Apolipoprotein E ◽  
Chain Reaction ◽  
Preliminary Study ◽  
Polymerase Chain

Angiotensin-Converting Enzyme Polymorphism and the Risk of Coronary Heart Disease in the Saudi Male Population

2000 ◽  
Vol 124 (4) ◽  
pp. 531-534 ◽  
Author(s):  
Nduna Dzimiri ◽  
Chona Basco ◽  
Azadali Moorji ◽  
Brian F. Meyer
Keyword(s):  
Coronary Heart Disease ◽  
Polymerase Chain Reaction ◽  
Heart Disease ◽  
Saudi Population ◽  
Converting Enzyme ◽  
Chain Reaction ◽  
Increased Risk ◽  
Polymerase Chain ◽  
Genotype Ii ◽  
Saudi Male

Abstract Objective.—To determine the relevance of angiotensin I–converting enzyme (ACE) gene polymorphism for coronary artery disease (CAD) in the Saudi population. Methods and Results.—DNA of 84 male Saudi patients with established CAD, 36 male controls who underwent angiography, and 327 healthy Saudi male blood donors was amplified by polymerase chain reaction, using oligonucleotide primers flanking the insertion (I)/deletion (D) sites in the polymorphic region of intron 16 of the ACE gene. Polymerase chain reaction amplification resulted in 490-bp (II), 190-bp (DD), or 490- and 190-bp (ID) fragments. The genotype II distribution was 16.7% in the control group, 7.3% in the blood donor group, and 7.2% in the patients with CAD, and the distribution for DD was 58.3%, 47.1%, and 41.0%, respectively. Notably, 61.9% (P < .0001) of CAD patients presented with angina on admission, and 52.4% had diabetes mellitus. Conclusions.—The results show no increased risk of CAD in association with either the II or DD genotypes in the Saudi population. However, further investigation of genotype II as a predictor for atherosclerosis rather than increased risk of coronary heart disease may be indicated.

scholarly journals Assessment of Aggregatibacter actinomycetemcomitans and Prevotella intermedia Counts around Healthy Implants, Diseased Implants and Sound Teeth: A Preliminary Study

2017 ◽  
Vol 9 (1) ◽  
pp. 18-25 ◽  
Author(s):  
Siamak Yaghobee ◽  
Afshin Khorsand ◽  
Nojan Jahedmanesh ◽  
Mahdi Kadkhodazadeh
Keyword(s):  
Polymerase Chain Reaction ◽  
Gingival Crevicular Fluid ◽  
Aggregatibacter Actinomycetemcomitans ◽  
Prevotella Intermedia ◽  
Rt Pcr ◽  
Chain Reaction ◽  
Standard Curve ◽  
Preliminary Study ◽  
Polymerase Chain ◽  
Crevicular Fluid

Background. This study aimed to assess Aggregatibacter actinomycetemcomitans (Aa) and Prevotella intermedia (PI) counts in gingival crevicular fluid (GCF) around healthy implants, diseased implants and sound teeth. Methods. Eight patients (four males and four females), who had healthy implants, implants with peri-implantitis and sound teeth, were selected. Samples (GCF) were analyzed using real-time polymerase chain reaction (RT-PCR). The above-mentioned bacteria were detected and counted. Data analysis in RT-PCR was carried out based on the standard curve using Prism software to compare Pi and Aa counts between the three areas (GCF around sound teeth, healthy implants and implants with peri-implantitis). Results. Pi counts were significantly higher in GCF around implants with peri-implantitis (8 implants) than around healthy implants (8 implants) (P<0.001) and sound teeth (8) (P=0.012). No significant differences were found in Pi counts in GCF around healthy implants and sound teeth (P=0.063). Aa counts in GCF around implants with peri-implantitis were significantly higher than those around healthy implants (P=0.002) and sound teeth (P=0.024). No significant differences were noted in Aa counts in GCF around healthy implants and sound teeth (P=0.57). Conclusion. Aa and Pi counts in GCF around diseased implants were higher than around healthy implants and sound teeth. Also, Aa counts were significantly higher than Pi counts.

scholarly journals Preliminary Study of Sars-Cov-2 Occurrence in Wastewater in the Czech Republic

2020 ◽  
Vol 17 (15) ◽  
pp. 5508 ◽  
Author(s):  
Hana Mlejnkova ◽  
Katerina Sovova ◽  
Petra Vasickova ◽  
Vera Ocenaskova ◽  
Lucie Jasikova ◽  
...  
Keyword(s):  
Polymerase Chain Reaction ◽  
Wastewater Treatment ◽  
Czech Republic ◽  
Wastewater Treatment Plants ◽  
Chain Reaction ◽  
The Czech Republic ◽  
Untreated Wastewater ◽  
Preliminary Study ◽  
Polymerase Chain

The virus SARS-CoV-2, which has caused the recent COVID-19 pandemic, may be present in the stools of COVID-19 patients. Therefore, we aimed to detect SARS-CoV-2 in wastewater for surveillance of SARS-CoV-2 in the population. Samples of untreated wastewater were collected from 33 wastewater treatment plants (WWTPs) of different sizes within the Czech Republic. SARS-CoV-2 RNA was concentrated from wastewater and viral RNA was determined using real-time reverse transcription polymerase chain reaction (RT-qPCR). SARS-CoV-2 RNA was detected in 11.6% of samples and more than 27.3% of WWTPs; in some of them, SARS-CoV-2 was detected repeatedly. Our preliminary results indicate that an epidemiology approach that focuses on the determination of SARS-CoV-2 in wastewater could be suitable for SARS-CoV-2 surveillance in the population.

A Preliminary Study Aimed at the Detection ofLeishmaniaParasites in Subjects with Cutaneous Leishmaniasis Using Polymerase Chain Reaction

1998 ◽  
Vol 25 (5) ◽  
pp. 290-298 ◽  
Author(s):  
Hiroshi Uezato ◽  
Keisuke Hagiwara ◽  
Atsushi Hosokawa ◽  
Motoyoshi Maruno ◽  
Shigeo Nonaka ◽  
...  
Keyword(s):  
Polymerase Chain Reaction ◽  
Cutaneous Leishmaniasis ◽  
Chain Reaction ◽  
Preliminary Study ◽  
Polymerase Chain

Apolipoprotein E polymorphism determined by restriction enzyme analysis of DNA amplified by polymerase chain reaction: convenient alternative to phenotyping by isoelectric focusing

1990 ◽  
Vol 36 (12) ◽  
pp. 2087-2092 ◽  
Author(s):  
K Kontula ◽  
K Aalto-Setälä ◽  
T Kuusi ◽  
L Hämäläinen ◽  
A C Syvänen
Keyword(s):  
Polymerase Chain Reaction ◽  
Genetic Variation ◽  
Apolipoprotein E ◽  
Isoelectric Focusing ◽  
Restriction Enzyme ◽  
Enzyme Analysis ◽  
Variant Form ◽  
Chain Reaction ◽  
Apo E ◽  
Polymerase Chain

Abstract Three common alleles determine six apolipoprotein E (apo E) phenotypes that are associated with variations in serum cholesterol in the population. This genetic variation results from single nucleotide alterations at two DNA loci encoding the amino acid residues 112 and 158 of apo E. We compared results of apo E phenotyping carried out by isoelectric focusing with those of apo E genotyping accomplished by direct DNA analysis. In the latter, the target DNA was amplified by the polymerase chain reaction (PCR) and subsequently analyzed by digestion with the restriction enzyme Hha I, followed by polyacrylamide gel electrophoresis of the cleavage products. With one exception, these two techniques yielded similar results from all 40 samples tested. In addition, a rare variant form of apo E (phenotype E1) was analyzed separately and incorrectly diagnosed as E2 by the Hha I digestion method; the anticipated mutation in the codon 127 was, however, confirmed by demonstration of a new Taq I restriction site in this variant gene. These data confirm that the common isoforms of apo E usually arise from genetic variation of the codons 112 and 158 and demonstrate the feasibility of the PCR technique in apo E genotyping.

scholarly journals Quantification of apolipoprotein E receptors in human brain-derived cell lines by real-time polymerase chain reaction

2005 ◽  
Vol 26 (6) ◽  
pp. 813-823 ◽  
Author(s):  
Shanaka Thilakawardhana ◽  
David M. Everett ◽  
Paul R. Murdock ◽  
Colin Dingwall ◽  
James S. Owen
Keyword(s):  
Polymerase Chain Reaction ◽  
Human Brain ◽  
Apolipoprotein E ◽  
Real Time ◽  
Cell Lines ◽  
Chain Reaction ◽  
Polymerase Chain
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