scholarly journals Determination of Changes in the Expression of MIR-212 and EGFR Genes in Clinical Samples from Areas Infected with Trichophyton rubrum Compared with Non-Infected Areas

2018 ◽  
Vol In Press (In Press) ◽  
Author(s):  
Maryam Esfidani ◽  
Seyed Amin Ayatollahi Mousavi ◽  
Seyed Amir Yazdanparast ◽  
Mohammad Shafiee ◽  
Monireh Mohsenzadegan
Keyword(s):  
Trichophyton Rubrum ◽  
Clinical Samples ◽  
Egfr Genes

scholarly journals HCV Detection, Discrimination, and Genotyping Technologies

Sensors ◽  
2018 ◽  
Vol 18 (10) ◽  
pp. 3423 ◽  
Author(s):  
Shrikant Warkad ◽  
Satish Nimse ◽  
Keum-Soo Song ◽  
Taisun Kim
Keyword(s):  
Hepatitis C ◽  
Hcv Infection ◽  
World Health ◽  
Clinical Samples ◽  
Infected People ◽  
Advantages And Disadvantages ◽  
Highly Sensitive ◽  
The World ◽  
Health Organization

According to the World Health Organization (WHO), 71 million people were living with Hepatitis C virus (HCV) infection worldwide in 2015. Each year, about 399,000 HCV-infected people succumb to cirrhosis, hepatocellular carcinoma, and liver failure. Therefore, screening of HCV infection with simple, rapid, but highly sensitive and specific methods can help to curb the global burden on HCV healthcare. Apart from the determination of viral load/viral clearance, the identification of specific HCV genotype is also critical for successful treatment of hepatitis C. This critical review focuses on the technologies used for the detection, discrimination, and genotyping of HCV in clinical samples. This article also focuses on advantages and disadvantages of the reported methods used for HCV detection, quantification, and genotyping.

CE Determination of Ketoprofen Enantiomers in Clinical Samples of Plasma, Synovial Fluid and Urine

2008 ◽  
Vol 67 (S1) ◽  
pp. 97-105 ◽  
Author(s):  
Franciszek Krzysztof Główka ◽  
Marta Karaźniewicz-Łada
Keyword(s):  
Synovial Fluid ◽  
Clinical Samples

scholarly journals Validation and Implementation of a Diagnostic Algorithm for DNA Detection ofBordetella pertussis,B. parapertussis, andB. holmesiiin a Pediatric Referral Hospital in Barcelona, Spain

2018 ◽  
Vol 57 (1) ◽  
Author(s):  
Ana Valero-Rello ◽  
Desiree Henares ◽  
Lesly Acosta ◽  
Mireia Jane ◽  
Iolanda Jordan ◽  
...  
Keyword(s):  
Internal Control ◽  
Whooping Cough ◽  
Diagnostic Algorithm ◽  
Clinical Samples ◽  
Analytical Validation ◽  
Content Type ◽  
Detection And Identification ◽  
Ofbordetella Pertussis ◽  
Lower Limits

ABSTRACTThis study aimed to validate a comprehensive diagnostic protocol based on real-time PCR for the rapid detection and identification ofBordetella pertussis,Bordetella parapertussis, andBordetella holmesii, as well as its implementation in the diagnostic routine of a reference children’s hospital. The new algorithm included a triplex quantitative PCR (qPCR) targeting IS481gene (inB. pertussis,B. holmesii, and someBordetella bronchisepticastrains), pIS1001(B. parapertussis-specific) andrnaseP as the human internal control. Two confirmatory singleplex tests forB. pertussis(ptxA-Pr) andB. holmesii(hIS1001) were performed if IS481was positive. Analytical validation included determination of linear range, linearity, efficiency, precision, sensitivity, and a reference panel with clinical samples. Once validated, the new algorithm was prospectively implemented in children with clinical suspicion of whooping cough presenting to Hospital Sant Joan de Deu (Barcelona, Spain) over 12 months. Lower limits of detection obtained were 4.4, 13.9, and 27.3 genomic equivalents/ml of sample for IS481(onB. pertussis), pIS1001and hIS1001, and 777.9 forptxA-Pr. qPCR efficiencies ranged from 86.0% to 96.9%. Intra- and interassay variabilities were <3% and <5%, respectively. Among 566 samples analyzed,B. pertussis,B. holmesii, andB. parapertussiswere detected in 11.1%, 0.9% (only in females >4 years old), and 0.2% of samples, respectively. The new algorithm proved to be a useful microbiological diagnostic tool for whooping cough, demonstrating a low rate of other non-pertussisBordetellaspecies in our surveilled area.

scholarly journals Isolation of Mucorales from biological environment and identification of Rhizopus among the isolates using PCRRFLP

2019 ◽  
Vol 21 (2) ◽  
pp. 98-103
Author(s):  
Mahboobeh Madani ◽  
Mohammadali Zia
Keyword(s):  
Reliable Method ◽  
Enzymatic Digestion ◽  
Accurate Diagnosis ◽  
Molecular Methods ◽  
Clinical Samples ◽  
Molecular Approaches ◽  
Pcr Products ◽  
Microscopic Studies ◽  
Biological Environment

Background and aims: Mucorales are fungi belonging to the category of Zygomycetes, found much in nature. Culture-based methods for clinical samples are often negative, difficult and time-consuming and mainly identify isolates to the genus level, and sometimes only as Mucorales. Therefore, applying fast and accurate diagnosis methods such as molecular approaches seems necessary. This study aims at isolating Mucorales for determination of Rhizopus genus between the isolates using molecular methods. Methods: In this descriptive observational study, a total of 500 samples were collected from air and different surfaces and inoculated on Sabouraud Dextrose Agar supplemented with chloramphenicol. Then, the fungi belonging to Mucorales were identified and their pure culture was provided. DNA extraction was done using extraction kit and the chloroform method. After amplification, the samples belonging to Mucorales were identified by observing 830 bp bands. For enzymatic digestion, enzyme BmgB1 was applied for identification of Rhizopus species by formation of 593 and 235 bp segments. Results: One hundred pure colonies belonging to Mucorales were identified using molecular methods and after enzymatic digestion, 21 isolates were determined as Rhizopus species. The sequencing of PCR products and macroscopic and microscopic studies confirmed the existence of R. stolonifera, R. oryzae and R. caespitosus in the samples. Conclusion: Generally, developing a reliable method for determining Zygomycete species can be a useful tool for better understanding of the epidemiology of mucoromycosis.

scholarly journals Flow cytometric determination of glutathione in clinical samples

Cytometry ◽  
1995 ◽  
Vol 21 (1) ◽  
pp. 68-71 ◽  
Author(s):  
Sue Chow ◽  
David Hedley
Keyword(s):  
Clinical Samples ◽  
Flow Cytometric

scholarly journals Alloscardovia omnicolens gen. nov., sp. nov., from human clinical samples

2007 ◽  
Vol 57 (7) ◽  
pp. 1442-1446 ◽  
Author(s):  
Geert Huys ◽  
Marc Vancanneyt ◽  
Klaas D'Haene ◽  
Enevold Falsen ◽  
Georges Wauters ◽  
...  
Keyword(s):  
Gardnerella Vaginalis ◽  
Phenotypic Characterization ◽  
Clinical Samples ◽  
Rrna Gene ◽  
Heat Shock Protein 60 ◽  
The Novel ◽  
Phenotypic Differentiation ◽  
Novel Genus ◽  
Sequence Similarities

The taxonomic position of 12 isolates tentatively assigned to the genus Bifidobacterium on the basis of a limited phenotypic characterization was examined. The isolates were collected between 1978 and 2005 in Belgium, Sweden and Norway, and originated from various human clinical samples, including urine, blood, urethra, oral cavity, tonsil, and abscesses of lung and aortic valve. On the basis of band number and clustering analysis, repetitive DNA element-based PCR fingerprinting using the BOXA1R and (GTG)5 primers indicated that the clinical isolates represented a taxon probably not belonging to the genus Bifidobacterium. Analysis of 16S rRNA gene sequence similarities revealed that the isolates were most closely affiliated to Parascardovia denticolens LMG 18312T (93.0–93.2 %), Scardovia inopinata LMG 18313T (92.9–93.1 %) and other members of the Bifidobacteriaceae, indicating that the isolates belong to a novel genus within that family. This observation was further substantiated by the results of partial sequencing of the heat-shock protein 60 gene (hsp60) and determination of the DNA G+C contents (47.3–48.3 mol%). Members of the novel taxon can be phenotypically distinguished from S. inopinata, P. denticolens and Gardnerella vaginalis by the ability to grow on agar under aerobic conditions and on the basis of positive reactions for acid production from l-arabinose, raffinose, salicin and d-xylose. Unambiguous phenotypic differentiation from Aeriscardovia aeriphila and Bifidobacterium species may be difficult, so phenotypic analyses should be complemented by molecular methods. The values for DNA–DNA binding among four members of the novel genus were in the range of 89–100 %, indicating that the strains should be considered as a single novel species of a novel genus, for which the name Alloscardovia omnicolens gen. nov., sp. nov. is proposed. The type strain of Alloscardovia omnicolens is CCUG 31649T (=LMG 23792T).

Simultaneous determination of Mycobacterium leprae drug resistance and single nucleotide polymorphism genotype using nested multiplex PCR with amplicon sequencing

2021 ◽  
Author(s):  
Yasuhisa Iwao ◽  
Shuichi Mori ◽  
Manabu Ato ◽  
Noboru Nakata
Keyword(s):  
Drug Resistance ◽  
Single Nucleotide Polymorphism ◽  
Multiplex Pcr ◽  
Simultaneous Determination ◽  
Mycobacterium Leprae ◽  
Amplicon Sequencing ◽  
Clinical Samples ◽  
Nucleotide Polymorphism ◽  
Single Nucleotide

Mycobacterium leprae is the predominant cause of leprosy worldwide, and its genotypes can be classified into four single nucleotide polymorphism (SNP) types and 16 subtypes. Determining M. leprae drug resistance and genotype is typically done by PCR and Sanger DNA sequencing, which require substantial effort. Here we describe a rapid method involving multiplex PCR in combination with nested amplification and next generation sequence analysis that allows simultaneous determination of M. leprae drug resistance and SNP genotype directly from clinical specimens. We used this method to analyze clinical samples from two paucibacillary, nine multibacillary, and six type-undetermined leprosy patients. Regions in folP1 , rpoB , gyrA , and gyrB that determine drug resistance and those for 84 SNP-InDels in the M. leprae genome were amplified from clinical samples and their sequences were determined. The results showed that seven samples were subtype 1A, three were 1D, and seven were 3K. Three samples of the subtype 3K had folp1 mutation. The method may allow more rapid genetic analyses of M. leprae in clinical samples.

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