Fungal Infection

Effect of biogenic selenium nanoparticles on ERG11 and CDR1 gene expression in both fluconazole-resistant and -susceptible isolates.

BACKGROUND AND PURPOSE: is the most common species (sp.) isolated from fungal infections. Azole resistance in species has been considerably increased in the last decades. Given the toxicity of the antimicrobial drugs, resistance to antifungal agents, and drug interactions, the identification of new antifungal agents seems essential. In this study, we assessed the antifungal effects of biogenic ...

The Effect of Artemisia fragrans Willd: Essential Oil on Inducible Nitric Oxide Synthase Gene Expression and Nitric Oxide Production in Lipopolysaccharide-stimulated Murine Macrophage Cell Line.

The genus Artemisia is estimated to comprise over 800 species with anti-cancer, anti-fungal, anti-oxidant and anti-inflammatory properties. Artemisia fragrans (A. fragrans), a species that belongs to genus Artemisia, is rich in monoterpenes and sesquiterpenes derivatives. Due to anti-inflammatory properties of monoterpenes and sesquiterpenes, we aimed to investigate the effect of A. fragrans essen...

Microbiological contamination in digital radiography: evaluation at the radiology clinic of an educational institution.

The aim of this study was to evaluate the contamination rate of intra and extraoral digital X ray equipment in a dental radiology clinic at a public e...

Isolation, molecular identification, and antifungal susceptibility profiles of vaginal isolates of species.

BACKGROUND AND OBJECTIVES: Vulvovaginal candidiasis is a common fungal infection among women during reproductive ages. Although, is accounted as the ...

Integrated machine learning, molecular docking and 3D-QSAR based approach for identification of potential inhibitors of trypanosomal N-myristoyltransferase.

N-Myristoyltransferase (NMT) catalyzes the transfer of myristate to the amino-terminal glycine of a subset of proteins, a co-translational modificatio...

Comparison of aglycon and glycosidic saponin extracts of tuber against spp.

BACKGROUND AND PURPOSE: Candidiasis, an important fungal infection, is considered the fourth most common nosocomial blood stream infection. Nowadays, ...

An Evaluation on Different Machine Learning Algorithms for Classification and Prediction of Antifungal Peptides.

BACKGROUND: Fungi are an emerging threat in medicine and agriculture and current therapeutics have proved to be insufficient and toxic. This has led t...

ANTIFUNGAL ACTIVITY OF Cymbopogon nardus (L.) Rendle (CITRONELLA) AGAINST Microsporum canis FROM ANIMALS AND HOME ENVIRONMENT.

Dermatophytosis is a common zoonosis in urban centers. Dogs and cats have played an important role as its disseminators. Environmental decontamination...

Screening of Xylanolytic for Prebiotic Xylooligosaccharide Production Using Bagasse.

Sugarcane bagasse is an important lignocellulosic material studied for the production of xylooligosaccharides (XOS). Some XOS are considered soluble d...

[Analysis of Cases with Elevated Blood (1->3)-β-D-glucan in Relation to an Infection Marker, Neutrophil CD64 Expression].

(1->3)-β-D-glucan (BDG) is a constituent of the fungal cell wall and its blood level is known as a marker of fungal infection including pneumocystis p...

Nitric Oxide Production Inhibition and Anti-Mycobacterial Activity of Extracts and Halogenated Sesquiterpenes from the Brazilian Red Alga Laurencia Dendroidea J. Agardh.

BACKGROUND: Red algae of the genus Laurencia J. V. Lamouroux are a rich source of secondary metabolites with important pharmacological activities such...

[Screening and identification of antioxidant endophytes from Lycium barbarum of Ningxia].

In this paper, 29 endophytes were isolated from different organs and tissues of Lycium barbarum of Ningxia by tablet coating method, 18 of them was fu...

Automatic identification of fungi under complex microscopic fecal images.

Automatic identification of fungi in microscopic fecal images provides important information for evaluating digestive diseases. To date, disease diagn...

Use of an Artificial Neural Network to Construct a Model of Predicting Deep Fungal Infection in Lung Cancer Patients.

BACKGROUND: The statistical methods to analyze and predict the related dangerous factors of deep fungal infection in lung cancer patients were several...

Managing changes in distributed biomedical ontologies using hierarchical distributed graph transformation.

The issue of ontology evolution and change management is inadequately addressed by available tools and algorithms, mostly due to the lack of suitable ...