An infection of digestive system, Giardiasis, caused by tiny parasites called Giardia lamblia (also known Giardia intestinalis or Giardia duodenalis). Giardia sp. is the most common intestinal parasite of humans and other animals throughout the world. Isolates of G. lamblia are classified into eight assemblages based on isoenzyme and DNA analyses. Assemblages A and B infect humans and a broad range of other hosts. The purpose of this study was to genotype human isolates of G. lamblia by PCR-RFLP in Karaj city. 60 positive fecal samples of G. lamblia were collected. DNA extraction and amplification of TPI gene were successfully conducted by nested-PCR. Subsequently, all samples were positive. Sequencing on 5 samples was conducted to determine genetic differences. The presence of 2 genotypes of G. lamblia (A and B) was revealed by the alignment of the TPI sequences obtained with reference sequences. The results of RFLP technique show that 35 of 60 (58.3%) isolates belonged to assemblage A, and 17 of 60 (28.3%) belonged to assemblage B but 1(1.7%) sample was not determined. Whereas, 7 (11.6%) specimens were detected as mixed infections. The latter RFLP was carried out to identify subtypes.The final results were 100% (35/35) AII, 82.3% (14/17) BIII, and 17.7% (3/17) BIV. This study suggests that the modified RFLP method is favorably time saving and easily achievable and highly economical. Hence, the sub-assemblage AII might be dominant in Karaj city.
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http://dx.doi.org/10.1016/j.actatropica.2018.06.008 | DOI Listing |
Environ Technol
January 2025
Centre for Biotechnology, Kalasalingam Academy of Research and Education, Krishnankoil, India.
Biokinetic models can optimise pollutant degradation and enhance microbial growth processes, aiding to protect ecosystem protection. Traditional biokinetic approaches (such as Monod, Haldane, etc.) can be challenging, as they require detailed knowledge of the organism's metabolism and the ability to solve numerous kinetic differential equations based on the principles of micro, molecular biology and biochemistry (first engineering principles) which can lead to discrepancies between predicted and actual degradation rates.
View Article and Find Full Text PDFHepatology
January 2025
Center for Individualized Medicine, Mayo Clinic, Rochester, MN, USA.
Background Aims: Metabolic dysfunction-associated steatotic liver disease (MASLD) affects about a third of adults worldwide and is projected soon to be the leading cause of cirrhosis. It occurs when fat accumulates in hepatocytes and can progress to metabolic dysfunction-associated steatohepatitis (MASH), liver cirrhosis, and hepatocellular carcinoma. MASLD pathogenesis is believed to involve a combination of genetic and environmental risk factors.
View Article and Find Full Text PDFJ Hered
January 2025
Center for Evolutionary Hologenomics, The Globe Institute, The University of Copenhagen, 5A, Oester Farimagsgade, Copenhagen, 1353, Denmark.
The stone marten (Martes foina) is an important species for cytogenetic studies in the order Carnivora. ZooFISH probes created from its chromosomes provided a strong and clean signal in chromosome painting experiments and were valuable for studying the evolution of carnivoran genome architecture. The research revealed that the stone marten chromosome set is similar to the presumed ancestral karyotype of the Carnivora, which added an additional value for the species.
View Article and Find Full Text PDFJ Appl Oral Sci
January 2025
Ningde Hospital Affiliated to Ningde Normal University, Department of Stomatology, Fujian, China.
Objective: This study aimed to investigate the role of transmembrane emp24 domain-containing protein 2 (TMED2) in oral squamous cell carcinoma (OSCC).
Methodology: A bioinformatics analysis was first conducted to explore TMED2 expression in OSCC and its relation with overall survival. The analysis results were further verified by assessing TMED2 expression levels in human normal oral keratinocyte cells and human OSCC cell lines using quantitative real-time polymerase chain reaction and the Western blot.
Brief Bioinform
November 2024
Center for Artificial Intelligence Research, Wake Forest University School of Medicine, Winston-Salem, NC 27101, United States.
Pathway analysis plays a critical role in bioinformatics, enabling researchers to identify biological pathways associated with various conditions by analyzing gene expression data. However, the rise of large, multi-center datasets has highlighted limitations in traditional methods like Over-Representation Analysis (ORA) and Functional Class Scoring (FCS), which struggle with low signal-to-noise ratios (SNR) and large sample sizes. To tackle these challenges, we use a deep learning-based classification method, Gene PointNet, and a novel $P$-value computation approach leveraging the confusion matrix to address pathway analysis tasks.
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