Comprehensive analysis of the prognostic value of glutathione S-transferases Mu family members in breast cancer.

Breast cancer (BC) remains a significant public health concern globally, with a high number of reported cases and a substantial number of deaths every year. Accumulating reactive oxygen species (ROS) and oxidative stress are related to BC and the Glutathione S-transferases Mu (GSTM) family is one of the most important enzymatic detoxifiers associated with many cancers. In this study, UALCAN, Kaplan-Meier plotter, bc-GenExMiner, cBioPortal, STRING, Enrichr, and TIMER databases were employed to carry out a comprehensive bioinformatic analysis and provide new insight into the prognostic value of GSTMs in BC. GSTM2-5 genes in mRNA and protein levels were found to be expressed at lower levels in breast tumors compared to normal tissues, and reduction in mRNA levels is linked to shorter overall survival (OS) and relapse-free survival (RFS). The lower mRNA levels of GSTMs were strongly associated with the worse Scarff-Bloom-Richardson (SBR) grades (p < 0.0001). The mRNA levels of all five GSTMs were substantially higher in estrogen receptor (ER)-positive and progesterone receptor (PR)-positive compared to ER-negative and PR-negative BC patients. As well, when nodal status was compared, GSTM1, GSTM3, and GSTM5 were significantly higher in nodal-positive BC patients (p < .01). Furthermore, GSTM4 had the most gene alteration (4%) among other family members, and GSTM5 showed the strongest correlation with CD4+ T cells (Cor= .234, p = 2.22e-13). In conclusion, our results suggest that GSTM family members may be helpful as biomarkers for prognosis and as therapeutic targets in BC.

Decreased carO gene expression and OXA-type carbapenemases among extensively drug-resistant Acinetobacter baumannii strains isolated from burn patients in Tehran, Iran.

A major challenge in the treatment of infections has been the rise of extensively drug resistance (XDR) and multidrug resistance (MDR) in Acinetobacter baumannii. The goals of this study were to determine the pattern of antimicrobial susceptibility, blaOXA and carO genes among burn-isolated A. baumannii strains. In this study, 100 A. baumannii strains were isolated from burn patients and their susceptibilities to different antibiotics were determined using disc diffusion testing and broth microdilution. Presence of carO gene and OXA-type carbapenemase genes was tested by PCR and sequencing. SDS-PAGE was done to survey CarO porin and the expression level of carO gene was evaluated by Real-Time PCR. A high rate of resistance to meropenem (98%), imipenem (98%) and doripenem (98%) was detected. All tested A. baumannii strains were susceptible to colistin. The results indicated that 84.9% were XDR and 97.9% of strains were MDR. In addition, all strains bore blaOXA-51 like and blaOXA-23 like and carO genes. Nonetheless, blaOXA-58 like and blaOXA-24 like genes were harbored by 0 percent and 76 percent of strains, respectively. The relative expression levels of the carO gene ranged from 0.06 to 35.01 fold lower than that of carbapenem-susceptible A. baumannii ATCC19606 and SDS - PAGE analysis of the outer membrane protein showed that all 100 isolates produced CarO. The results of current study revealed prevalence of blaOXA genes and changes in carO gene expression in carbapenem resistant A.baumannii.

Silver nanoparticles: Synthesis methods, bio-applications and properties.

Silver nanoparticles size makes wide range of new applications in various fields of industry. Synthesis of noble metal nanoparticles for applications such as catalysis, electronics, optics, environmental and biotechnology is an area of constant interest. Two main methods for Silver nanoparticles are the physical and chemical methods. The problem with these methods is absorption of toxic substances onto them. Green synthesis approaches overcome this limitation. Silver nanoparticles size makes wide range of new applications in various fields of industry. This article summarizes exclusively scalable techniques and focuses on strengths, respectively, limitations with respect to the biomedical applicability and regulatory requirements concerning silver nanoparticles.

Metabolic Syndrome and Nephrolithiasis; A Cross Sectional Population-based Study on the Baseline Data of the PERSIAN Kavar Cohort Study.

OBJECTIVE: To explore the relationship between metabolic syndrome and its components with nephrolithiasis. METHODS: In current study, 4,901 individuals from the PERSIAN (Prospective Epidemiological Research Studies in IrAN) Kavar cohort study were included. Metabolic syndrome was defined according to the ATP III criteria (2005 revision). The nephrolithiasis was assessed using a structured questionnaire, and ultrasound findings were reviewed in subjects who reported positive history of nephrolithiasis. We applied logistic regression to estimate the odds ratio (OR) and 95% confidence interval (CI). RESULTS: The prevalence of nephrolithiasis and metabolic syndrome was 28.5% and 40.91%, respectively. Almost 31% of the patients with metabolic syndrome had a history of nephrolithiasis. Multivariable logistic regression analysis revealed a positive association between metabolic syndrome and nephrolithiasis (OR= 1.30, 95% CI: 1.14-1.49, P<.001) after adjustment age, sex, ethnicity, physical activity, smoking status, and alcohol intake. Furthermore, the relation was higher for elders aged 50 years or more (P for interaction= .016) and Turk Nomad participants (P for interaction= 0.044) than the others. There was also a positive independent association between hypertension (OR=1.29, 95% CI: 1.12-1.48, P<.001) and hypertriglyceridemia (OR= 1.15, 95% CI: 1.01-1.31, P=.033) with nephrolithiasis. CONCLUSION: In this large sample study, we demonstrate a weak positive association between metabolic syndrome, hypertension, and hypertriglyceridemia with nephrolithiasis.

Alarm of non-communicable disease in Iran: Kavar cohort profile, baseline and 18-month follow up results from a prospective population-based study in urban area.

The PERSIAN Kavar cohort study (PKCS) aims to investigate the prevalence, trends, and relevant prognostic risk factors of non-communicable diseases in participants aged 35-70 years living in the urban area of Kavar County. Kavar County is located at the center of Fars province in the southwest of Iran. Overall, 5236 adults aged 35-70 years old were invited to participate in the PKCS. From whom, 4997 people comprising 2419 men and 2578 women met the inclusion criteria and were recruited in the study (participation rate: 95.4%). This study is aimed to follow participants for at least 10 years; it is designed to perform all procedures similar to the primary phase including biological sampling, laboratory tests, physical examinations, and collecting general, nutritional, and medical data at the 5th and 10th years of follow-up. In addition, participants are annually followed-up by phone to acquire data on the history of hospitalization, any major diagnosis or death. At the enrollment phase, trained interviewers were responsible for obtaining general, nutritional, and medical data utilizing a 482-item questionnaire. The results of the baseline phase of this study show that the overweight category was the most prevalent BMI category among the registered participants (n = 2005, 40.14%). Also, almost one-third of Kavar adult population suffered from metabolic syndrome at the baseline phase (n = 1664, 33.30%). The rate of eighteen-month follow-up response was 100% in the PKCS. Hypertension (n = 116, 2.32%), cardiovascular outcomes (n = 33, 0.66%), and diabetes (n = 32, 0.64%) were the most prevalent new-onset NCDs during eighteen months of follow-up in the participants.

In vitro antibacterial activity of curcumin-meropenem combination against extensively drug-resistant (XDR) bacteria isolated from burn wound infections.

OBJECTIVE: Burn wound infection is a severe complication of thermal injury. Patients with severe burn injuries need urgent care to diminish complications after severe burns. Wound infections are commonly considered one of the most serious burn complications, particularly those that are caused by extensively drug-resistant (XDR) bacteria with few therapeutic choices. The objective of this study was to determine in vitro activity of meropenem and curcumin, alone and in combination, against antibiotic-susceptible Gram-positive, and antibiotic-resistant and antibiotic susceptible gram-negative bacteria isolated from burn wound infections. MATERIALS AND METHODS: The antimicrobial activity of meropenem and curcumin was investigated alone and in combination, against antibiotic-susceptible and antibiotic-resistant bacterial (XDR) strains isolated from burn patients. In addition, the cytotoxic effect of curcumin on human's epithelial cell lines, was determined. RESULTS: In this study, minimum inhibitory concentrations of meropenem decreased considerably in the presence of curcumin (2- to 16-fold reductions), with synergy observed. Curcumin exerted no cytotoxic effect at concentrations 256-512 µg/ml on human epithelial cell lines. CONCLUSION: We suggest that curcumin-antibiotic combinations may provide an alternative approach for treating infections with multidrug-resistant (MDR) and extensively drug-resistant (XDR) bacteria.

WITHDRAWN: Molecular detection and genotyping of bacterial and viral meningitis common causative agents by multiplex real-time PCR in Iran.

This article has been withdrawn at the request of the editor. The Publisher apologizes for any inconvenience this may cause. The full Elsevier Policy on Article Withdrawal can be found at https://www.elsevier.com/about/our-business/policies/article-withdrawal.

Current methods for synthesis of gold nanoparticles.

Metal nanoparticles, such as nanoparticles synthesized using gold, have numerous uncommon chemical and physical properties due to the effects of their quantum size and their large surface area, in comparison with other metal atoms or bulk metal. Gold nanoparticles (GNPs), in particular, are very attractive because of their size and shape-dependent properties. Metal nanoparticles have gathered extensive attention due to their uncommon properties and promising applications in photonics, electronics, biochemical sensing, and imaging. This review covers recent advances in the synthesis of GNPs.

Graphene: Synthesis, bio-applications, and properties.

The properties of graphene, carbon sheets that are only one atom wide, have led researchers and companies to consider its synthesis, properties, and the applications in numerous fields. High-quality graphene is physically powerful, light, nearly transparent, and an exceptional conductor of heat and electricity. Its interactions with other materials and with light and its naturally two-dimensional nature produce unique properties, such as the bipolar transistor effect, ballistic transport of charges, and large quantum oscillations. The following review introduces the many potential applications of graphene.

Bimetallic nanoparticles: Preparation, properties, and biomedical applications.

Many studies of non-supported bimetallic nanoparticle (BMNP) dispersions, stabilized by ligands or polymers, and copolymers, were started only about 10 years ago. Several preparative procedures have been proposed, and full characterizations on BMNPs have been approved. Studies on BMNPs received huge attention from both scientific and technological communities because most of the NPs' catalytic activity depends on their structural aspects. In this study, we focus on the preparation, properties, and bio-application of BMNPs and introduction of the recent advance in these NPs.

Application of gold nanoparticles in biomedical and drug delivery.

Nanoparticles are the simplest form of structures with sizes in the nanometer (nm) range. In principle any collection of atoms bonded together with a structural radius of < 100 nm can be considered nano particles. Nanotechnology offers unique approaches to probe and control a variety of biological and medical processes that occur at nanometer scales, and is expected to have a revolutionary impact on biology and medicine. Among the approaches for exploiting nanotechnology in medicine, nanoparticles offer some unique advantages as sensing, image enhancement, and delivery agents. Several varieties of nanoparticles with biomedical relevance are available including, polymeric nanoparticles, metal nanoparticles, liposomes, micelles, quantum dots, dendrimers, and nanoassemblies. To further the application of nanoparticles in disease diagnosis and therapy, it is important that the systems are biocompatible and capable of being functionalized for recognition of specific target sites in the body after systemic administration. In this review, we have explained some important applications of gold nanoparticles.

Novel drug delivery system based on doxorubicin-encapsulated magnetic nanoparticles modified with PLGA-PEG1000 copolymer.

New drug delivery systems delivered the active molecules to the target site in a definite manner to produce the desired effects without disturbing the delicate bio-environment. The Fe3O4 magnetic nanoparticles were prepared by chemical precipitation of Fe salts in the ratio of 1:2 under alkaline and inert condition. PLGA-PEG1000 triblock copolymer was synthesized by ring-opening polymerization. The properties of this copolymer were characterized using Fourier transform infrared spectroscopy. In addition, the resulting particles were characterized by X-ray powder diffraction, scanning electron microscopy, and vibrating sample magnetometry. The in vitro doxorubicin (DOX) release profiles were obtained by representing the percentage of DOX release. In this report, we used this new method to fabricate PEGylated PLGA particles, and examined the anticancer agent DOX.

Biomedical and biological applications of quantum dots.

Quantum dots (QDs) as colloidal nanocrystalline semiconductors have exceptional photophysical properties, due to their quantum confinement effects. Depending on their sizes and chemical compositions, QDs emit different wavelengths over a broad range of the light spectrum, from visible to infrared. QDs are typically extensively used for optical applications due to their high extinction coefficient. This article reviews biomedical applications of QDs, especially the application of QDs in cell targeting, delivery, diagnostics, cancer therapy, and imaging for cancer research.

Magnetic nanoparticles: Applications in gene delivery and gene therapy.

Gene therapy is defined as the direct transfer of genetic material to tissues or cells for the treatment of inherited disorders and acquired diseases. For gene delivery, magnetic nanoparticles (MNPs) are typically combined with a delivery platform to encapsulate the gene, and promote cell uptake. Delivery technologies that have been used with MNPs contain polymeric, viral, as well as non-viral platforms. In this review, we focus on targeted gene delivery using MNPs.

In vitro study and characterization of doxorubicin-loaded magnetic nanoparticles modified with biodegradable copolymers.

Magnetic nanoparticles are a main class of nanoscale materials with the potential to revolutionize present clinical therapeutic and diagnostic techniques. Functionalization of magnetic nanoparticles with copolymers, different surfactants, or other organic compounds is usually done in order to achieve better physicochemical properties. Poly (D,L-lactic-co-glycolic acid) (PLGA) polymers have been extensively used as biodegradable carriers for drug delivery. These biodegradable aliphatic polyesters, with proven biocompatibility, have versatile biodegradation properties, depending on their molecular weight and chemical composition. The aim of the present work was to assess the merits of Fe3 O4-PLGA-PEG nanoparticles as anticancer drug carriers. For this purpose, magnetic Fe3O4 nanoparticles were first prepared, and then the copolymer PLGA-PEG was synthesized with polyethylene glycol (PEG) of various molecular weights. The copolymer was confirmed with Fourier transform infrared (FTIR) spectra. Doxorubicin was encapsulated within nanoparticles made of Fe3O4-PLGA-PEG, using the double emulsion method (w/o/w). The nanoparticles were characterized in terms of size, and the in vitro release of doxorubicin.

Dendrimers: synthesis, applications, and properties.

Dendrimers are nano-sized, radially symmetric molecules with well-defined, homogeneous, and monodisperse structure that has a typically symmetric core, an inner shell, and an outer shell. Their three traditional macromolecular architectural classes are broadly recognized to generate rather polydisperse products of different molecular weights. A variety of dendrimers exist, and each has biological properties such as polyvalency, self-assembling, electrostatic interactions, chemical stability, low cytotoxicity, and solubility. These varied characteristics make dendrimers a good choice in the medical field, and this review covers their diverse applications.

FRAN and RBF-PSO as two components of a hyper framework to recognize protein folds.

In this paper, an intelligent hyper framework is proposed to recognize protein folds from its amino acid sequence which is a fundamental problem in bioinformatics. This framework includes some statistical and intelligent algorithms for proteins classification. The main components of the proposed framework are the Fuzzy Resource-Allocating Network (FRAN) and the Radial Bases Function based on Particle Swarm Optimization (RBF-PSO). FRAN applies a dynamic method to tune up the RBF network parameters. Due to the patterns complexity captured in protein dataset, FRAN classifies the proteins under fuzzy conditions. Also, RBF-PSO applies PSO to tune up the RBF classifier. Experimental results demonstrate that FRAN improves prediction accuracy up to 51% and achieves acceptable multi-class results for protein fold prediction. Although RBF-PSO provides reasonable results for protein fold recognition up to 48%, it is weaker than FRAN in some cases. However the proposed hyper framework provides an opportunity to use a great range of intelligent methods and can learn from previous experiences. Thus it can avoid the weakness of some intelligent methods in terms of memory, computational time and static structure. Furthermore, the performance of this system can be enhanced throughout the system life-cycle.