فهرست مطالب mohammadhasan darvishi

This study aimed to develop a liposomal silibinin formulation that would reduce healing time and improve wound healing.

A thin film method was used to prepare liposomal silibinin. They were characterized for their size, ζ-potential, drug encapsulation efficiency, and silibinin release kinetics in vitro. By using a scanning electron microscope, lipid nanoparticle morphology was determined. A MTT assay was then used to determine the cytotoxicity of liposomal silibinin for human skin fibroblasts. SPSS version 18 software was used to analyze the results using one-way analysis of variance (ANOVA).

The optimized liposomal silibinin with a size of 112 ± 9.07 nm, and ζ-potential value of -14.5 ± 2.2 mV exhibited a high silibinin encapsulation efficiency (84± 5.3%). Results of the MTT assay indicated that the liposomal silibinin formulation does not have cytotoxicity besides they promote the growth of fibroblast cells.

Liposomal silibinin promotes the therapeutic effect of silibinin for wound healing.

Shigella dysenteriae are Gram-negative and non-sporulating bacteria that cause illness in epithelial tissue of the colon and rectum. According to a preliminary analysis, rare or no reports could introduce highly reliable and specific genes, primers, and probes for S. dysenteriae recognition. Thus, it is necessary to detect specific genome parts in S. dysenteriae that could be used in diagnostic laboratories to recognize S. dysenteriae species confidently.
Identification of specific S. dysenteriae genome regions as DNA-barcodes was the main objective of the current study to accrue detection of this species. To this end, S. dysenteriae genome was compared with other Enterobacteriaceae genomes.
Results indicated that there is little genetic distance between S. dysenteriae and E. coli, and most of the genes are common between these 2 species. The lowest genome fluidity was observed between S. dysenteriae and Escherichia coli, and Salmonella enterica. Furthermore, the largest number of orthologous genes was observed between S. dysenteriae and E. coli (O157_H7). All previous markers and virulent genes were also evaluated in the current study. However, no specific DNA barcodes were identified among already identified genes. Additionally, all regions of S. dysenteriae genome were investigated in the current study using specific region identifier programs by comparison with other Enterobacteriaceae strains.
Finally, eight specific DNA-barcodes were identified in the current study that could be beneficial for specific recognition of S. dysenteriae strains.

Chitosan, a biodegradable and cationic polysaccharide with increasing applications in biomedicine, possesses many advantages including mucoadhesivity, biocompatibility, and low-immunogenicity. The aim of this study, was investigating the influence of pH, ratio of azelaic acid/chitosan and molecular weight of chitosan on loading efficiency of azelaic acid in chitosan particles.
A model was generated using artificial neural networks (ANNs) to study interactions between the inputs and their effects on loading of azelaic acid.
From the details of the model, pH showed a reverse effect on the loading efficiency. Also, a certain ratio of drug/chitosan (~ 0.7) provided minimum loading efficiency, while molecular weight of chitosan showed no important effect on loading efficiency.
In general, pH and drug/chitosan ratio indicated an effect on loading of the drug. pH was the major factor affecting in determining loading efficiency.