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Article in English | WPRIM | ID: wpr-829011


Objective@#High PM concentration is the main feature of increasing haze in developing states, but information on its microbial composition remains very limited. This study aimed to determine the composition of microbiota in PM in Guangzhou, a city located in the tropics in China.@*Methods@#In Guangzhou, from March 5 to 10 , 2016, PM was collected in middle volume air samplers for 23 h daily. The 16S rDNA V4 region of the PM sample extracted DNA was investigated using high-throughput sequence.@*Results@#Among the Guangzhou samples, , , , , and were the dominant microbiota accounting for more than 90% of the total microbiota, and was the dominant gram-negative bacteria, accounting for 21.30%-23.57%. We examined the difference in bacterial distribution of PM between Beijing and Guangzhou at the genus level; was found in both studies, but was only detected in Guangzhou.@*Conclusion@#In conclusion, the diversity and specificity of microbial components in Guangzhou PM were studied, which may provide a basis for future pathogenicity research in the tropics.

Air Microbiology , Air Pollutants , Bacteria , Classification , China , Cities , Environmental Monitoring , Microbiota , Particle Size , Particulate Matter , RNA, Bacterial , RNA, Ribosomal, 16S
Article in Chinese | WPRIM | ID: wpr-236337


<p><b>OBJECTIVE</b>Eplets mismatch based on HLAMatchmaker software evaluates the clinical application of kidney transplantation.</p><p><b>METHODS</b>In 239 cases of renal transplant,merits of methods of the traditional HLA six antigen matcheing criteria, cross reaction groups standard and Eplets mismatch based on HLAMatchmaker standard were compared respectively.</p><p><b>RESULTS</b>The number of mismatchs with three methods in 239 cases, were grouped according to low-high mismatchs. The results revealed that HLAMatchmaker algorithm could significantly increase the number of low mismatchs group 54 (22.6%), compared with the HIA group 19(7.9%) and CREGs group 32 (13.4%). The comparison was discovered statistical significance among the three groups (P<0.001), so the comparison between each group was.</p><p><b>CONCLUSION</b>HLAMachmaker of donor-recipients matching, is a more efficient, time-saving and high sensitivity matching solution to allograft renal transplantation.</p>

Adolescent , Adult , Aged , Female , Histocompatibility Testing , Methods , Humans , Kidney Transplantation , Male , Middle Aged , Software , Transplantation, Homologous , Young Adult
Article in Chinese | WPRIM | ID: wpr-329534


Objective To develop a Simple,accurate,rapid,economic,large-scale detection method for the detection of singe nucleotide polymorphisms (SNPs) metabolic enzymes,using polymerase chain reaction with confronting two-pair primers (PCR-CTPP).Methods The primers of CYP1A1 (A4889G),EPHX1 (A416G) and NQO1 (C609T) were designed for PCR-CTPP,and the PCR conditions were optimized.The results of genotyping were verified by DNA sequencing.The above SNPs were detected by the PCR-CTPP detection method in a randomly selected 183 healthy individuals of Han ethnicity.The genotype frequencies were analyzed and compared with people from other ethnicities.Results The allele-specific bands of CYP1A1 (A4889G),EPHX1 (A416G) and NQO1 (C609T) were successfully amplified by PCR-CTPP under the optimal conditions and the results of genotyping were consistent with DNA sequencing.Among 183 healthy Han individuals,the genotypic distributions of CYP1A1 (A4889G),EPHX1 (A416G) and NQO1 (C609T) showed that the wild-type,homozygous variants,and heterozygotes were 103 (56.3%),8 (4.4%),72 (39.3%) and 142 (77.6%),4 (2.2%),37(20.2% ),60(32.8% ),32 (17.5%),91 (49.7%) respectively.The distributions of genotypes were all in accordance with the Hardy-Weinberg equilibrium (P>0.05),with statistical differences and with other ethnic populations(P<0.05).Conclusion The SNPs of metabolic enzymes can be detected by PCR-CTPP method which is simple,accurate,rapid,economic and with large scale.PCR-CTPP can be used for large scale clinical and epidemiological screening.