Comparative evaluation of hesperetin-loaded graphene oxide nanosheets (Hsp-GO) as a drug delivery system for colon cancer: synthesis and anticancer efficiency assessment

BACKGROUND

Graphene oxide nanosheets (GONS) are recognized for their role in enhancing drug delivery and effectiveness in cancer treatment. With colon cancer being a prevalent global issue and the significant side effects associated with chemotherapy, the primary treatment for colon cancer alongside surgery, there is a critical need for novel therapeutic strategies to support patients in combating this disease. Hesperetin (HSP), a natural compound found in specific fruits, exhibits anti-cancer properties. The aim of this study is to investigate the effect of GONS on the LS174t colon cancer cell line.

METHODS

In this study, an anti-cancer nano-drug was synthesized by creating a hesperetin-graphene oxide nanocomposite (Hsp-GO), which was subsequently evaluated for its efficacy through in vitro cell toxicity assays. Three systems were investigated: HSP, GONS, and HSP-loaded GONS, to determine their cytotoxic and pro-apoptotic impacts on the LS174t colon cancer cell line, along with assessing the expression of BAX and BCL2. The morphology and properties of both GO and Hsp-GO were examined using scanning electron microscopy (SEM), X-ray diffraction, and Fourier transform infrared spectroscopy (FTIR).

RESULTS

The Hsp-GO nanocomposite displayed potent cytotoxic and pro-apoptotic effects on LS174t colon cancer cells, outperforming individual treatments with HSP or GONS. Cell viability assays showed a significant decrease in cell viability with Hsp-GO treatment. Analysis of BAX and BCL2 expression revealed elevated BAX and reduced BCL2 levels in Hsp-GO treated cells, indicating enhanced apoptotic activity. Morphological analysis confirmed successful Hsp-GO synthesis, while structural integrity was supported by X-ray diffraction and FTIR analyses.

CONCLUSIONS

These study highlight the potential of Hsp-GO as a promising anti-cancer nano-drug for colon cancer therapy.

The effect of chitosan hydrogel containing gold nanoparticle complex with paclitaxel on colon cancer cell line

Colon cancer is a significant global health issue, and its primary treatment, chemotherapy, is limited by toxicity and drug resistance. This has led researchers to explore alternative therapeutic approaches. One such approach is the use of chitosan, a natural biopolymer with anti-cancer properties, and paclitaxel, a potent chemotherapeutic agent with promising activity against many types of cancer. In this study, the effectiveness of a chitosan hydrogel that contains a complex of gold nanoparticles with paclitaxel in treating LS174T colon cancer cell line was investigated. The synthesized chitosan hydrogel was characterized and used to treat the colon cancer cells in cell culture. MTT assay and apoptotic gene expression analysis were conducted to evaluate the complex's effectiveness. The results showed that the chitosan hydrogel-loaded gold nanoparticle-paclitaxel complex exhibited a potent cytotoxic effect against the cancer cells. Moreover, the treatment resulted in a significant increase in pro-apoptotic BAX and BAD expression and a decrease in anti-apoptotic BCL2 expression, indicating a pro-apoptotic effect. These findings suggest that utilizing a chitosan hydrogel that contains a complex of gold nanoparticles with paclitaxel shows promise as a viable treatment option for colon cancer. Further research is needed to determine the potential efficacy and safety of this treatment approach in clinical settings.

An efficient method for cell sheet bioengineering from rBMSCs on thermo-responsive PCL-PEG-PCL copolymer

Utilizing both medium enrichment and a thermos-responsive substrate to maintain the cell-to-cell junctions and extracellular matrix (ECM) intact, cell sheet technology has emerged as a ground-breaking approach. Investigating the possibility of using sodium selenite (as medium supplementation) and PCL-PEG-PCL (as vessel coating substrate) in the formation of the sheets from rat bone marrow-derived mesenchymal stem cells (rBMSCs) was the main goal of the present study. To this end, first, Polycaprolactone-co-Poly (ethylene glycol)-co-Polycaprolactone triblock copolymer (PCEC) was prepared by ring-opening copolymerization method and characterized by FTIR, ¹ H NMR, and GPC. The sol-gel-sol phase transition temperature of the PCEC aqueous solutions with various concentrations was either measured. Next, rBMSCs were cultured on the PCEC, and let be expanded in five different media containing vitamin C (50 µg/ml), sodium selenite (0.1 µM), vitamin C and sodium selenite (50 µg/ml + 0.1 µM), Trolox, and routine medium. The proliferation of the cells exposed to each material was evaluated. Produced cell sheets were harvested from the polymer surface by temperature reduction and phenotypically analyzed via an inverted microscope, hematoxylin and eosin (H&E) staining, and field emission scanning electron microscopy (FESEM). Through the molecular level, the expression of the stemness-related genes (Sox2, Oct-4, Nanog), selenium-dependent enzymes (TRX, GPX-1), and aging regulator gene (Sirt1) were measured by q RT-PCR. Senescence in cell sheets was checked by beta-galactosidase assay. The results declared the improved ability of the rBMSCs for osteogenesis and adipogenesis in the presence of antioxidants vitamin C, sodium selenite, and Trolox in growth media. The data indicated that in the presence of vitamin C and sodium selenite, the quality of the cell sheet was risen by reducing the number of senescent cells and high transcription of the stemness genes. Monolayers produced by sodium selenite was in higher-quality than the ones produced by vitamin C.

Network-Based and Machine-Learning Approaches Identify Diagnostic and Prognostic Models for EMT-Type Gastric Tumors

The microsatellite stable/epithelial-mesenchymal transition (MSS/EMT) subtype of gastric cancer represents a highly aggressive class of tumors associated with low rates of survival and considerably high probabilities of recurrence. In the era of precision medicine, the accurate and prompt diagnosis of tumors of this subtype is of vital importance. In this study, we used Weighted Gene Co-expression Network Analysis (WGCNA) to identify a differentially expressed co-expression module of mRNAs in EMT-type gastric tumors. Using network analysis and linear discriminant analysis, we identified mRNA motifs and microRNA-based models with strong prognostic and diagnostic relevance: three models comprised of (i) the microRNAs miR-199a-5p and miR-141-3p, (ii) EVC/EVC2/GLI3, and (iii) PDE2A/GUCY1A1/GUCY1B1 gene expression profiles distinguish EMT-type tumors from other gastric tumors with high accuracy (Area Under the Receiver Operating Characteristic Curve (AUC) = 0.995, AUC = 0.9742, and AUC = 0.9717; respectively). Additionally, the DMD/ITGA1/CAV1 motif was identified as the top motif with consistent relevance to prognosis (hazard ratio > 3). Molecular functions of the members of the identified models highlight the central roles of MAPK, Hh, and cGMP/cAMP signaling in the pathology of the EMT subtype of gastric cancer and underscore their potential utility in precision therapeutic approaches.

VEGFR2 Mimicking Peptide Inhibits the Proliferation of Human Umbilical Vein Endothelial Cells (Huvecs) by Blocking VEGF

INTRODUCTION

A variety of key human physiological processes rely on angiogenesis, ranging from reproduction and fetal growth to wound healing and tissue repair. Furthermore, this process significantly contributes to tumor progression, invasion, and metastasis. As the strongest inducer of angiogenesis, Vascular Endothelial Growth Factor (VEGF) and its receptor (VEGFR) are targets of therapeutic research for blocking pathological angiogenesis.

OBJECTIVE

Preventing the interaction between VEGF and VEGFR2 by a peptide is a promising strategy for developing antiangiogenic drug candidates. This study was aimed at designing and evaluating VEGF-targeting peptides using in silico and in vitro techniques.

METHODS

The VEGF binding site of VEGFR2 was considered a basis for peptide design. The interaction of VEGF and all three peptides derived from VEGFR2 were analyzed using ClusPro tools. In a complex with VEGF, the peptide with a higher docking score was evaluated to confirm its stability using molecular dynamics (MD) simulation. The gene coding for the selected peptide was cloned and expressed in E. coli BL21. The bacterial cells were cultured on a large scale, and the expressed recombinant peptide was purified using Ni-NTA chromatography. Refolding of the denatured peptide was carried out by the stepwise removal of the denaturant. The reactivity of peptides was confirmed using western blotting and enzyme-linked immunosorbent assay (ELISA) assays. Finally, the inhibition potency of the peptide on human umbilical vein endothelial cells was assessed using the 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyl- 2H-tetrazolium bromide (MTT) assay.

RESULTS

Among three peptides, the peptide with the best docking pose and the highest affinity for VEGF was selected for further studies. Then the stability of the peptide was confirmed over the 100 ns MD simulation. After in silico analyses, the selected peptide was presented for in vitro analysis. Expression of the selected peptide in E. coli BL21 resulted in a pure peptide with a yield of approximately 200 μg/ml. Analysis by ELISA revealed the high reactivity of the peptide with VEGF. Western blot analysis confirmed the specific reactivity of selected peptides with VEGF. The MTT assay revealed the growth inhibitory effect of the peptide on human umbilical vein endothelial cells with an IC50 value of 247.8 μM.

CONCLUSION

In summary, the selected peptide demonstrated a promising inhibitory effect on human umbilical vein endothelial cells that could be a valuable anti-angiogenic candidate for further assessment. Additionally, these in silico and in vitro data provide new insights into peptide design and engineering.

Preparation and evaluation of chitosan skin patches containing mesoporous silica nanoparticles loaded by doxycycline on skin wound healing

This study aims to prepare and evaluate a skin patch containing mesoporous silica nanoparticles with doxycycline for skin wound healing in a rat model. For this purpose, 84 female rats were randomly placed in four equal groups: (A) Control group with only skin defects and no therapeutic intervention; (B) Chitosan group in which a chitosan skin patch without loading any drug was placed on their skin defect; (C); The ChMesN group had a chitosan skin patch containing drug-free mesoporous silica nanoparticles; (D) ChMesND group had a skin patch loaded with doxycycline loaded with mesoporous silica nanoparticles on their skin defect. The histological results showed that on the 3rd day of the study, collagen fiber orientation was significantly higher in the ChMesND group than in the other groups. On the 7th day of the study, neovascularization, and inflammation in the ChMesND group were significantly higher and lower than in the other groups, respectively. On day 21, the most re-epithelialization was observed in the ChMesND group. It was found that on day 7, the wound area in the ChMesND group was significantly less than in other groups. On the 21st day of the study, the minimal experimental wound area was related to chitosan and ChMesND groups. Although chitosan has anti-inflammatory effects, its combination with doxycycline with several beneficial biological effects can have significant therapeutic effects with chitosan. Hence, it can be concluded that chitosan skin patch containing doxycycline can be suitable dressings for managing and accelerating the healing of skin wounds.

Absorption of daunorubicin and etoposide drugs by hydroxylated and carboxylated carbon nanotube for drug delivery: theoretical and experimental studies

Anti-cancer daunorubicin and etoposide drugs are mostly used in chemotherapy medicine to treat a wide variety of cancers. Many of the side effects and specific delivery to a target tissue are the main challenges of using chemotherapeutic agents. To avoid serious toxic side effects and improve treatment outcomes, functionalized carbon nanotubes (f-CNTs) are considered promising nano-carriers for the delivery of chemotherapeutic drugs to cancerous cells. We examined the effects of -OH and -COO^- groups on CNTs surface for absorption of two anticancer drugs including daunorubicin and etoposide using molecular dynamics simulation and experimental assays. To evaluate the absorption of each drug in each CNT, the complexes of drugs/CNTs in water were simulated separately. Theoretical investigation demonstrated that CNT-OH and CNT-COO^- are more suitable for absorption of daunorubicin and etoposide, respectively. Experimental findings also confirmed molecular dynamics simulation results. Communicated by Ramaswamy H. Sarma.

Rational Design of Anti-Angiogenic Peptides to Inhibit VEGF/VEGFR2 Interactions for Cancer Therapeutics

BACKGROUND

Angiogenesis is a critical physiological process that plays a key role in tumor progression, metastatic dissemination, and invasion. In the last two decades, the vascular endothelial growth factor (VEGF) signaling pathway has been the area of extensive researches. VEGF executes its special effects by binding to vascular endothelial growth factor receptors (VEGFRs), particularly VEGFR-2.

OBJECTIVE

The inhibition of VEGF/VEGFR2 interaction is known as an effective cancer therapy strategy. The current study pointed to design and model an anti-VEGF peptide based on VEGFR2 binding regions.

METHOD

The large-scale peptide mutation screening was used to achieve a potent peptide with high binding affinity to VEGF for possible application in inhibition of VEGF/VEGFR2 interaction. The AntiCP and Peptide Ranker servers were used to generate the possible peptides library with anticancer activities and prediction of peptides bioactivity. Then, the interaction of VEGF and all library peptides were analyzed using Hex 8.0.0 and ClusPro tools. A number of six peptides with favorable docking scores were achieved. All of the best docking scores of peptides in complexes with VEGF were evaluated to confirm their stability, using molecular dynamics simulation (MD) with the help of the GROMACS software package.

RESULTS

As a result, two antiangiogenic peptides with 13 residues of PepA (NGIDFNRDFFLGL) and PepC (NGIDFNRDKFLFL) were achieved and introduced to inhibit VEGF/VEGFR2 interactions.

CONCLUSIONS

In summary, this study provided new insights into peptide-based therapeutics development for targeting VEGF signaling pathway in tumor cells. PepA and PepC are recommended as potentially promising anticancer agents for further experimental evaluations.

Evaluation of Inflammatory Response Due to Use of Controlled Release Drug Delivery System of Chitosan Hydrogel Loaded with Buprenorphine and Ketorolac in Rat with Experimental Proximal Tibial Epiphysis Defect

Aims:A controlled release drug delivery system loaded with buprenorphine and ketorolac was synthesized and used in the experimental model of bone defect and while evaluating the inflammatory response, the repair process in the defects was investigated.Materials and methods:To determine the effectiveness of the synthesized the mentioned systems, 5 groups were defined; the control group, the chitosan hydrogel receiving group (chitosan group), the ketorolac-loaded chitosan hydrogel group (ketorolac group), the buprenorphine-loaded chitosan hydrogel receiving group (buprenorphine group), and the chitosan hydrogel-loading group loaded with a combination of ketorolac and buprenorphine (ketorolac-buprenorphine group).Results:The results showed that the population of leukocytes (tWBC) and neutrophils on different days of the study in the control group compared to other groups had a significant increase (P < 0.05) while on day 7 of the study in the ketorolac group these parameters decreased significantly compared to other groups (P < 0.05). While examining the histological changes in the experimental defect created in the proximal tibia of rats at different times, some inflammatory indices such as total and differential leukocyte population, plasma concentrations of TNF-α and IL-6 were compared in different groups (P < 0.05). The various evaluated data showed that among the different groups, in the control and ketorolac-buprenorphine groups, there was the lowest and highest control of inflammatory response and bone repair, respectively.Conclusion:In the ketorolac group due to the impact of ketorolac on leukocyte populations the best bone healing can be expected among the different treatment groups.

New Developments in Anti-Angiogenic Therapy of Cancer, Review and Update

BACKGROUND

Angiogenesis is one of the critical physiological processes, by which the new blood vessels are generated from the pre-existing vessels in the early stage of vasculogenesis. While normal angiogenesis is critical for development and tissue growth, pathologic angiogenesis is important for the growth and spread of cancers by supplying nutrients and oxygen as well as providing a conduit for distant metastasis. In the last two decades, angiogenesis has been the area of extensive researches, indicating antiangiogenic target therapy as an effective strategy for cancer therapy. At present, this field has become a major avenue for research and development of novel therapeutics.

OBJECTIVE

This review is dedicated to an updated review of the most prominent antiangiogenic agents, emphasizing the novel advancements and their applications, in particular, in the fields of antibodies, peptides, vaccines, endogenous inhibitors, Nanoparticles (NPs), antiangiogenic oligonucleotides and small molecules. Also, the potential role of 3D microfluidic models as an affordable and time-saving tool for angiogenesis investigations are discussed.

METHODS

Firstly, we collected and summarized new developments that have occurred in all review and research articles in databases. Then, we used important keywords related to antiangiogenic target therapy and their applications for retrieval of most relevant data.

RESULTS

This review is based on recent research and review articles and intended to cover all newly discovered agents inhibiting tumor angiogenesis and in particular, VEGF.

CONCLUSION

New research studies have shown that anti-angiogenesis agents especially, in the form of combination therapy are effective in various cancers treatment.

Mechanistic Insight on Ras Inhibition Strategies in Cancer Therapy

Ras proteins are considered as one of the most critical cancer initiators. Mutations of this protein family lead to the continuous activation of the proliferation pathways. Therefore, many efforts have been taken to design the anti-mutant Ras drug candidates. Regardless of the development of promising inhibitors of Ras G12C mutant in a specific cancer type, there is no approved inhibitor of Ras mutants in the clinic. One of the significant limitations is to inhibit particular mutants and not to affect the wild-type Ras variants. Here we present a review on the mechanism of action of the Ras proteins to get a better insight into the strategies utilized to inhibit Ras-mutated cancers. The direct Ras inhibition strategies are then highlighted to obtain a better perspective of possible promising approaches to target Ras proteins in cancer therapy.

Classification of seed members of five riboswitch families as short sequences based on the features extracted by Block Location-Based Feature Extraction (BLBFE) method

Introduction: Riboswitches are short regulatory elements generally found in the untranslated regions of prokaryotes' mRNAs and classified into several families. Due to the binding possibility between riboswitches and antibiotics, their usage as engineered regulatory elements and also their evolutionary contribution, the need for bioinformatics tools of riboswitch detection is increasing. We have previously introduced an alignment independent algorithm for the identification of frequent sequential blocks in the families of riboswitches. Herein, we report the application of block location-based feature extraction strategy (BLBFE), which uses the locations of detected blocks on riboswitch sequences as features for classification of seed sequences. Besides, mono- and dinucleotide frequencies, k-mer, DAC, DCC, DACC, PC-PseDNC-General and SC-PseDNC-General methods as some feature extraction strategies were investigated. Methods: The classifiers of the Decision tree, KNN, LDA, and Naïve Bayes, as well as k-fold cross-validation, were employed for all methods of feature extraction to compare their performances based on the criteria of accuracy, sensitivity, specificity, and f-score performance measures. Results: The outcome of the study showed that the BLBFE strategy classified the riboswitches indicating 87.65% average correct classification rate (CCR). Moreover, the performance of the proposed feature extraction method was confirmed with average values of 94.31%, 85.01%, 95.45% and 85.38% for accuracy, sensitivity, specificity, and f-score, respectively. Conclusion: Our result approved the performance of the BLBFE strategy in the classification and discrimination of the riboswitch groups showing remarkable higher values of CCR, accuracy, sensitivity, specificity and f-score relative to previously studied feature extraction methods.

Design and development of high affinity dual anticancer peptide-inhibitors against p53-MDM2/X interaction

AIMS

Inhibition of P53-MDM2/X interaction is known as an effective cancer therapy strategy. In this regard, pDI peptide was introduced previously with the potential of targeting MDM2. In this research, the large-scale peptide mutation screening was used to achieve the best sequence of pDI with the highest affinity for inhibition activity against MDM2/X.

MAIN METHODS

Three mutant peptides of pDI as dual inhibitor peptides including single mutations of pDIm/4W, pDIm/11M and double mutations of pDIdm/4W11M were presented with the high affinities to inhibit both MDM2/X. The selected mutants were then evaluated comprehensively to confirm their ability as potent MDM2/X inhibitors, using a theoretical simulation approach.

KEY FINDINGS

MD simulations analyses confirmed their dual inhibition potential against both MDM2/X interactions with p53 protein. The developed pDIm and mainly pDIdm peptides showed stable conformations over the simulation time with conserved secondary structure and effective interaction with MDM2/X by physical binding such as hydrogen bonding. Besides, umbrella sampling free energy calculation indicated higher binding energy, ΔG_binding, of pDIm-MDM2/X and pDIdm-MDM2/X compared to pDI-MDM2/X.

SIGNIFICANCE

The optimized and improved mutant pDI, pDIdm, with more effective ΔG_binding values of -30 and -25 kcal/mol to MDMX and MDM2, respectively, is recommended as a promising anticancer agent and suitable candidate for experimental evaluations.

Development of a new oligonucleotide block location-based feature extraction (BLBFE) method for the classification of riboswitches

As knowledge of genetics and genome elements increases, the demand for the development of bioinformatics tools for analyzing these data is raised. Riboswitches are genetic components, usually located in the untranslated regions of mRNAs, that regulate gene expression. Additionally, their interaction with antibiotics has been recently suggested, implying a role in antibiotic effects and resistance. Following a previously published sequential block finding algorithm, herein, we report the development of a new block location-based feature extraction strategy (BLBFE). This procedure utilizes the locations of family-specific sequential blocks on riboswitch sequences as features. Furthermore, the performance of other feature extraction strategies, including mono- and dinucleotide frequencies, k-mer, DAC, DCC, DACC, PC-PseDNC-General and SC-PseDNC-General methods, was investigated. KNN, LDA, naïve Bayes, PNN and decision tree classifiers accompanied by V-fold cross-validation were applied for all methods of feature extraction, and their performances based on the defined feature extraction strategies were compared. Performance measures of accuracy, sensitivity, specificity and F-score for each method of feature extraction were studied. The proposed feature extraction strategy resulted in classification of riboswitches with an average correct classification rate (CCR) of 90.8%. Furthermore, the obtained data confirmed the performance of the developed feature extraction method with an average accuracy of 96.1%, an average sensitivity of 90.8%, an average specificity of 97.52% and an average F-score of 90.69%. Our results implied that the proposed feature extraction (BLBFE) method can classify and discriminate riboswitch families with high CCR, accuracy, sensitivity, specificity and F-score values.

Classification of Riboswitch Families Using Block Location-Based Feature Extraction (BLBFE) Method

Purpose: Riboswitches are special non-coding sequences usually located in mRNAs' un-translated regions and regulate gene expression and consequently cellular function. Furthermore, their interaction with antibiotics has been recently implicated. This raises more interest in development of bioinformatics tools for riboswitch studies. Herein, we describe the development and employment of novel block location-based feature extraction (BLBFE) method for classification of riboswitches. Methods: We have already developed and reported a sequential block finding (SBF) algorithm which, without operating alignment methods, identifies family specific sequential blocks for riboswitch families. Herein, we employed this algorithm for 7 riboswitch families including lysine, cobalamin, glycine, SAM-alpha, SAM-IV, cyclic-di-GMP-I and SAH. Then the study was extended toward implementation of BLBFE method for feature extraction. The outcome features were applied in various classifiers including linear discriminant analysis (LDA), probabilistic neural network (PNN), decision tree and k-nearest neighbors (KNN) classifiers for classification of the riboswitch families. The performance of the classifiers was investigated according to performance measures such as correct classification rate (CCR), accuracy, sensitivity, specificity and f-score. Results: As a result, average CCR for classification of riboswitches was 87.87%. Furthermore, application of BLBFE method in 4 classifiers displayed average accuracies of 93.98% to 96.1%, average sensitivities of 76.76% to 83.61%, average specificities of 96.53% to 97.69% and average f-scores of 74.9% to 81.91%. Conclusion: Our results approved that the proposed method of feature extraction; i.e. BLBFE method; can be successfully used for classification and discrimination of the riboswitch families with high CCR, accuracy, sensitivity, specificity and f-score values.

Cell sheet biofabrication by co-administration of mesenchymal stem cells secretome and vitamin C on thermoresponsive polymer

Cell sheet technology aims at replacement of artificial extracellular matrix (ECM) or scaffolds, popular in tissue engineering, with natural cell derived ECM. Adipose tissue mesenchymal stem cells (ASCs) have the ability of ECM secretion and presented promising outcomes in clinical trials. As well, different studies found that secretome of ASCs could be suitable for triggering cell free regeneration induction. The aim of this study was to investigate the effect of using two bio-factors: secretome of ASCs (SE) and vitamin C (VC) for cell sheet engineering on a thermosensitive poly N-isopropyl acryl amide-Methacrylic acid (P(NIPAAm-MAA)) hydrogel. The results revealed that using thermosensitive P(NIPAAm-MAA) copolymer as matrix for cell sheet engineering lead to a rapid ON⁄OFF adhesion/deadhesion system by reducing temperature without enzymatic treatment (complete cell sheet release takes just 6 min). In addition, our study showed the potential of SE for inducing ASCs sheet formation. H&E staining exhibited the properties of a well-formed tissue layer with a dense ECM in sheets prepared by both SE and VC factors, as compared to those of VC or SE alone. Functional synergism of SE and VC exhibited statistically significant enhanced functionality regarding up-regulation of stemness genes expression, reduced β-galactosidase associated senescence, and facilitated sheet release. Additionally, alkaline phosphatase activity (ALP), mineralized deposits and osteoblast matrix around cells confirmed a better performance of ostogenic differentiation of ASCs induced by VC and SE. It was concluded that SE of ASCs and VC could be outstanding biofactors applicable for cell sheet technology.

The role of phenolic OH groups of flavonoid compounds with H-bond formation ability to suppress amyloid mature fibrils by destabilizing β-sheet conformation of monomeric Aβ17-42

Alzheimer's disease (AD) is a kind of brain disease that arises due to the aggregation and fibrillation of amyloid β-peptides (Aβ). The peptide Aβ17-42 forms U-shape protofilaments of amyloid mature fibrils by cross-β strands, detected in brain cells of individuals with AD. Targeting the structure of Aβ17-42 and destabilizing its β-strands by natural compounds could be effective in the treatment of AD patients. Therefore, the interaction features of monomeric U-shape Aβ17-42 with natural flavonoids including myricetin, morin and flavone at different mole ratios were comprehensively studied to recognize the mechanism of Aβ monomer instability using molecular dynamics (MD) simulations. We found that all flavonoids have tendency to interact and destabilize Aβ peptide structure with mole ratio-dependent effects. The interaction free energies of myricetin (with 6 OHs) and morin (with 5 OHs) were more negative compared to flavone, although the total binding energies of all flavonoids are favorable and negative. Myricetin, morin and flavone penetrated into the core of the Aβ17-42 and formed self-clusters of Aβ17-42-flavonoid complexes. Analysis of Aβ17-42-flavonoids interactions identified that the hydrophobic interactions related to SASA-dependent energy are weak in all complexes. However, the intermolecular H-bonds are a main binding factor for shifting U-shape rod-like state of Aβ17-42 to globular-like disordered state. Myricetin and morin polyphenols form H-bonds with both peptide's carbonyl and amine groups whereas flavone makes H-bonds only with amine substitution. As a result, polyphenols are more efficient in destabilizing β-sheet structures of peptide. Accordingly, the natural polyphenolic flavonoids are useful in forming stable Aβ17-42-flavonoid clusters to inhibit Aβ17-42 aggregation and these compounds could be an effective candidate for therapeutically targeting U-shape protofilaments' monomer in amyloid mature fibrils.

Bovine serum albumin binding study to erlotinib using surface plasmon resonance and molecular docking methods

Bovine serum albumin (BSA) is the most abundant protein in the blood circulation and it is commonly used for drug delivery in blood. Therefore, we aim to study BSA interaction with erlotinib as an anticancer drug using surface plasmon resonance (SPR) and molecular modeling methods under physiological conditions (pH = 7.4). BSA immobilized on carboxymethyl dextran hydrogel Au chip (CMD) after activation with N-hydroxysuccinimide and N-ethyl-N-(3-diethylaminopropyl) carbodiimide and then the erlotinib binding to BSA at different concentrations was evaluated. Increasing of erlotinib concentration led to dose-response sensorgrams of BSA. The amount of equilibrium constant (K_D) at 25 °C (4.25 × 10^-9) showed the high affinity of erlotinib to BSA. Thermodynamic parameters were attained at four different temperatures. The positive value of enthalpy and entropy showed that hydrophobic forces play major role in the interaction of erlotinib with BSA. Besides, the positive value of Gibbs free energy demonstrated that the interaction of erlotinib with BSA was nonspontaneous and enthalpy driven and the complexion of drug were dependent on endothermic process. According to the molecular docking study, the most favorable binding sites of erlotinib on the BSA were subdomain IIIA and IB. Moreover, molecular docking study results showed that hydrogen binding has a role in intermolecular force that stabilize erlotinib-BSA complex.

Targeted cancer therapy through 17-DMAG as an Hsp90 inhibitor: Overview and current state of the art

Heat shock protein 90 (Hsp90) is an evolutionary preserved molecular chaperone which mediates many cellular processes such as cell transformation, proliferation, and survival in normal and stress conditions. Hsp90 plays an important role in folding, maturation, stabilization and activation of Hsp90 client proteins which all contribute to the development, and proliferation of cancer as well as other inflammatory diseases. Functional inhibition of Hsp90 can have a massive effect on various oncogenic and inflammatory pathways, and will result in the degradation of their client proteins. This turns it into an interesting target in the treatment of different malignancies. 17-dimethylaminoethylamino-17-demethoxygeldanamycin (17-DMAG) as a semi-synthetic derivative of geldanamycin, has several advantages over 17-Allylamino-17-demethoxygeldanamycin (17-AAG) such as higher water solubility, good bioavailability, reduced metabolism, and greater anti-tumour capability. 17-DMAG binds to the Hsp90, and inhibits its function which eventually results in the degradation of Hsp90 client proteins. Here, we reviewed the pre-clinical data and clinical trial data on 17-DMAG as a single agent, in combination with other agents and loaded on nanomaterials in various cancers and inflammatory diseases.

Development of a new sequential block finding strategy for detection of conserved sequences in riboswitches

Introduction: Some non-coding RNAs have an important role in the regulation of gene expression and consequently cellular function. Riboswitches are examples of these regulatory RNAs. Riboswitches are classified into various families according to sequential and structural similarities.

Methods: In this study, a block finder algorithm for identification of frequently appearing sequential blocks in five families of riboswitches from Rfam 12.0 database, without the use of alignment methods, was developed.

Results: The developed program identified 21 frequently appearing blocks in five families of riboswitches.

Conclusion: Comparison of the results of the proposed algorithm with those of sequential alignment methods revealed that our method can recognize most of the patterns present in conserved areas of individual riboswitch families and determine them as specific blocks, implying potential of the developed program as a platform for further studies and developments.

Spectroscopic, thermodynamic and molecular docking studies of bovine serum albumin interaction with ascorbyl palmitate food additive

Introduction: Ascorbyl palmitate (AP) is an example of natural secondary food antioxidant, which has been used for oxidative rancidity prevention in food industry. In this study, the interaction of AP with bovine serum albumin (BSA) was investigated.

Methods: The mechanism of BSA interaction with AP was investigated using spectroscopic methods (UV-Vis, fluorescence). The thermodynamic parameters including enthalpy change (ΔH), entropy change (ΔS), and Gibb’s free energy (ΔG) were calculated using Van’t Hoff equation at different temperatures.

Results: The experimental results showed that UV-Vis absorption spectra of BSA decreased upon increasing AP concentration, indicating that the AP can bind to BSA. Formation of the AP-BSA complex was approved by quenching of fluorescence and the quenching mechanism was found to be resultant from dynamic procedure. The positive values of both ΔH and ΔS showed that hydrophobic forces were the major binding forces. The negative value of ΔG demonstrated that AP interacts with BSA spontaneously. Molecular docking results confirmed that AP binds to BSA through hydrophobic forces.

Conclusion: The attained results showed that AP can bind to BSA and effectively distributed into the bloodstream.

Quantitative structure–activity relationships study of potent pyridinone scaffold derivatives as HIV-1 integrase inhibitors with therapeutic applications

Human immunodeficiency virus-1 (HIV-1) integrase appears to be a crucial target for developing new anti-HIV-1 therapeutic agents. Different quantitative structure–activity relationships (QSARs) algorithms have been used in order to develop efficient model(s) to predict the activity of new pyridinone derivatives against HIV-1 integrase. Multiple linear regression (MLR) and combined principal component analysis (PCA) with MLR have been applied to build QSAR models for a set of new pyridinone derivatives as potent anti-HIV-1 therapeutic agents. Four different approaches based on MLR method including; concrete-MLR, stepwise-MLR, concrete PCA–MLR and stepwise PCA–MLR were utilized for this aim. Twenty two different sets of descriptors containing 1613 descriptors were constructed for each optimized molecule. Comparison between predictability of the “concrete” and “stepwise” procedure in two different algorithms of MLR and PCA models indicated the advantage of the stepwise procedure over that of the simple concrete method. Although the PCA was employed for dimension reduction, using stepwise PCA–MLR model showed that the method has higher ability to predict the compounds’ activity. The stepwise PCA–MLR model showed highly validated statistical results both in fitting and prediction processes ([Formula: see text] and [Formula: see text]). Therefore, using stepwise PCA approach is suitable to remove ineffective descriptors, which results in remaining efficient descriptors for building good predictability stepwise PCA–MLR. The stepwise hybrid approach of PCA–MLR may be useful in derivation of highly predictive and interpretable QSAR models.

Surface plasmon resonance and molecular docking studies of bovine serum albumin interaction with neomycin: kinetic and thermodynamic analysis

Introduction: The interactions between biomacromolecules such as serum albumin (SA) and various drugs have attracted increasing research attention in recent years. However, the study of SA with those drugs that have relatively high hydrophilicity and a lower affinity for SA could be a challenging issue. At the present study, the interaction of bovine SA (BSA) with neomycin as a hydrophilic drug has been investigated using surface plasmon resonance (SPR) and molecular docking methods. Methods: BSA was immobilized on the carboxymethyl dextran hydrogel sensor chip after activation of carboxylic groups through NHS/EDC and, then, the neomycin interaction with BSA at different concentrations (1-128 µM) was investigated. Results: Dose-response sensorgrams of BSA upon increasing concentration of neomycin has been shown through SPR analysis. The small K_D value (4.96 e^-7 at 40°C) demonstrated high affinity of neomycin to BSA. Thermodynamic parameters were calculated through van't Hoff equation at 4 different temperatures. The results showed that neomycin interacts with BSA via Van der Waals interactions and hydrogen bonds and increase of K_D with temperature rising indicated that the binding process was entropy driven. Molecular docking study confirmed that hydrogen bond was the major intermolecular force stabilizing neomycin-BSA complex. Conclusion: The attained results showed that neomycin molecules can efficiently distribute within the body after interaction with BSA in spite of having hydrophilic properties. Besides, SPR can be considered as a useful instrument for study of the interaction of hydrophilic drugs with SA.

Construction, expression, and activity of a novel immunotoxin comprising a humanized antiepidermal growth factor receptor scFv and modified Pseudomonas aeruginosa exotoxin A

Overexpression of epidermal growth factor receptor (EGFR) plays a significant role in the development and metastasis of many solid tumors. Strategies based on anti-EGFR immunotoxins have shown promising results in several studies, but immunogenicity of antibody and toxin moieties is a limitation of this type of therapeutics. In the present study, a novel humanized anti-EGFR immunotoxin (huscFv-PE25) was developed by genetic fusing of a humanized anti-EGFR single-chain variable fragment (huscFv) with a modified Pseudomonas aeruginosa exotoxin A (PE25KDEL). The reactivity and toxicity of this immunotoxin with tumor cells were assessed by dot-blot, enzyme-linked immunosorbent assay, and MTT procedures. Results of enzyme-linked immunosorbent assay and dot-blot assay indicated that the immunotoxin recognizes and efficiently binds to EGFR-overexpressing tumor cells. MTT assay showed a specific growth-inhibitory effect of huscFv-PE25 on EGFR-overexpressing A431 cells, without any inhibitory effect on EGFR-negative cells. In conclusion, the results of this study indicated that huscFv-PE25 can recognize and exert an inhibitory effect on EGFR-overexpressing cancer cells, despite its smaller size and lower immunogenicity. This may provide a basis for the development of novel clinical therapeutic agents against EGFR-overexpressing tumor cells.

TPP riboswitch characterization in Alishewanella tabrizica and Alishewanella aestuarii and comparison with other TPP riboswitches

Riboswitches are located in non-coding areas of mRNAs and act as sensors of cellular small molecules, regulating gene expression in response to ligand binding. The TPP riboswitch is the most widespread riboswitch occurring in all three domains of life. However, it has been rarely characterized in environmental bacteria other than Escherichia coli and Bacillus subtilis. In this study, TPP riboswitches located in the 5' UTR of thiC operon from Alishewanella tabrizica and Alishewanella aestuarii were identified and characterized. Moreover, affinity analysis of TPP binding to the TPP aptamer domains originated from A. tabrizica, A. aestuarii, E.coli, and B. subtilis were studied and compared using In-line probing and Surface Plasmon Resonance (SPR). TPP binding to the studied RNAs from A. tabrizica and A. aestuarii caused distinctive changes of the In-line cleavage pattern, demonstrating them as functional TPP riboswitches. With dissociation constant of 2-4nM (depending on the method utilized), the affinity of TPP binding was highest in A. tabrizica, followed by the motifs sourced from A. aestuarii, E. coli, and B. subtilis. The observed variation in their TPP-binding affinity might be associated with adaptation to the different environments of the studied bacteria.

Adhesion of mesenchymal stem cells to biomimetic polymers: A review

The mesenchymal stem cells (MSCs) are promising candidates for cell therapy due to the self-renewal, multi-potency, ethically approved state and suitability for autologous transplantation. However, key issue for isolation and manipulation of MSCs is adhesion in ex-vivo culture systems. Biomaterials engineered for mimicking natural extracellular matrix (ECM) conditions which support stem cell adhesion, proliferation and differentiation represent a main area of research in tissue engineering. Some of them successfully enhanced cells adhesion and proliferation because of their biocompatibility, biomimetic texture, and chemistry. However, it is still in its infancy, therefore intensification and optimization of in vitro, in vivo, and preclinical studies is needed to clarify efficacies as well as applicability of those bioengineered constructs. The aim of this review is to discuss mechanisms related to the in-vitro adhesion of MSCs, surfaces biochemical, biophysical, and other factors (of cell's natural and artificial micro-environment) which could affect it and a review of previous research attempting for its bio-chemo-optimization.

Riboswitches: From living biosensors to novel targets of antibiotics

Riboswitches are generally located in 5'-UTR region of mRNAs and specifically bind small ligands. Following ligand binding, gene expression is controlled mostly by transcription termination, translation inhibition or mRNA degradation processes. More than 30 classes of known riboswitches have been identified by now. Most riboswitches consist of an aptamer domain and an expression platform. The aptamer domain of each class of riboswitch is a conserved structure and stabilizes specific structures of the expression platforms through binding to specific compounds. In this review, we are highlighting most aspects of riboswitch research including the novel riboswitch discoveries, routine methods for discovering and investigating riboswitches along with newly discovered classes and mechanistic principles of riboswitch-mediated gene expression control. Moreover, we will give an overview about the potential of riboswitches as therapeutic targets for antibiotic design and also their utilization as biosensors for molecular detection.

Protective Immunity Against Homologous and Heterologous Influenza Virus Lethal Challenge by Immunization with New Recombinant Chimeric HA2-M2e Fusion Protein in BALB/C Mice

Influenza is an acute and highly contagious respiratory disease. The error prone RNA polymerase and segmented nature of the influenza A virus genome allow antigenic drift and shift, respectively. Therefore, most influenza vaccines are inefficient along time and against different viral subtypes. In this study, for the first time, protection properties of a new recombinant fusion of HA2 and M2e peptides originated from influenza virus A/Brisbane/59/2007-like (H1N1) in BALB/c mice model were investigated. After immunization of the BALB/c mice, the protection property of fusion peptide was determined by a neutralizing assay test. For further study, mice were lethal challenged by the (mouse adapted, A/PR8/34 [H1N1]) and heterologous (mouse adapted, A/Brisbane/10/2007 [H3N2]) influenza virus subtypes. Then, the lung viral titers, body weight, and survival rate of the immunized mice were monitored. The results showed that immunization by the M2e-HA2 recombinant fusion peptide provides strong protection against homologous challenge and an infirm protection against heterologous. These protections against homologous and heterologous influenza A virus challenges meant the universal nature of these recombinant peptides in an immunity manner against influenza A virus. However, more studies are needed to optimize this recombinant construction, and this experiment recommends HA2-M2e fusion peptide as a universal influenza A vaccine candidate.

Molecular dynamics simulation of non-covalent single-walled carbon nanotube functionalization with surfactant peptides

Non-covalent functionalized single-walled carbon nanotubes (SWCNTs) with improved solubility and biocompatibility can successfully transfer drugs, DNA, RNA, and proteins into the target cells. Theoretical studies such as molecular docking and molecular dynamics simulations in fully atomistic scale were used to investigate the hydrophobic and aromatic π-π-stacking interaction of designing four novel surfactant peptides for non-covalent functionalization of SWCNTs. The results indicated that the designed peptides have binding affinity towards SWCNT with constant interactions during MD simulation times, and it can even be improved by increasing the number of tryptophan residues. The aromatic content of the peptides plays a significant role in their adsorption in SWCNT wall. The data suggest that π-π stacking interaction between the aromatic rings of tryptophan and π electrons of SWCNTs is more important than hydrophobic effects for dispersing carbon nanotubes; nevertheless SWCNTs are strongly hydrophobic in front of smooth surfaces. The usage of aromatic content of peptides for forming SWCNT/peptide complex was proved successfully, providing new insight into peptide design strategies for future nano-biomedical applications.

Generation of New M2e-HA2 Fusion Chimeric Peptide to Development of a Recombinant Fusion Protein Vaccine

PURPOSE

The purpose was to design a new construction containing influenza virus (H1N1) M2e gene and HA2 gene by bioinformatics approach, cloning the construct in to Escherichia coli and produce M2e-HA2 peptide.

METHODS

The procedure was done by virus cultivation in SPF eggs, hemagglutination assay (HA), RNA isolation, RT-PCR, primers designed (DNAMAN 4 and Oligo7), virtual fusion construction translation (ExPASy), N-Glycosylated sites prediction (Ensemblegly-Iowa), complete open reading frame (ORF), stop codon studied (NCBI ORF Finder), rare codon determination (GenScript), Solvent accessibility of epitopes (Swiss-PdbViewer), antigenic sites prediction (Protean), fusion PCR of M2e-HA2 gene, sequence analysis, nested PCR, gel electrophoresis, double digestion of pET22b(+) plasmid and the fusion construct, ligation of them, transformation of the ligated vector (pET22b-M2e-HA2) to E.coli (BL21), mass culture the cloned bacterium ,induction the expression by isopropyl-beta-D-thiogalactopyranoside (IPTG), sodium dodecyl sulphate polyacrylamide gel electrophoresis (SDS-PAGE), purification the fusion peptide by Ni-NTA column, western blot to verify the purification.

RESULTS

In this study we developed a new approach for fusion of Influenza virus M2e (96 nucleotides) and HA2 (663 nucleotides) genes based on fusion PCR strategy and produced a fused fragment with 793 nucleotides. The construct was successfully cloned and expressed.

CONCLUSION

This construct is a 261 amino acid chimeric fusion peptide with about 30 KD molecular weight. According on the latest information; this is the first case of expression and purification M2e-HA2 fusion chimeric peptide, which could be used for development of a recombinant M2e-HA2 fusion protein vaccine.

Up regulation of liver-enriched transcription factors HNF4a and HNF6 and liver-specific microRNA (miR-122) by inhibition of let-7b in mesenchymal stem cells

MicroRNAs are small non-coding RNAs that regulate key processes of the stem cells. Although, microRNAs have emerged as powerful regulators of differentiation, few studies have been focused on the post-transcriptional regulation of hepatic differentiation in mesenchymal stem cells (MSCs) by microRNAs. The aim of this study was to evaluate the specific effect of let-7 microRNAs in particular let-7b in hepatic commitment of human adipose tissue-derived mesenchymal stem cells (hAT-MSCs). The dynamic expression profile of let-7a, b, c microRNAs and two liver-enriched transcription factors (LETFs) HNF4a and HNF6 was studied during in vitro hepatic differentiation of hAT-MSCs. Let-7b was used for transient overexpression and knockdown investigations. It was shown that the expression of LETFs is inversely correlated with those of let-7 miRNAs during differentiation progress (p < 0.05). Inhibition of let-7b caused upregulation of LETFs, an increase in the expression of miR-122 (p < 0.01) emulating the features of functional hepatocytes, and accumulation of hAT-MSCs in the G0 /G1 phase of cell cycle, triggering initiation of hepatic commitment. In conclusion, transient inhibition of let-7b activates hepatic differentiation of hAT-MSCs. The findings of this work might help optimization of in vitro hepatogenic differentiation utilizing microRNAs and hAT-MSCs that could be used for therapeutic purposes.

The effect of dimethyl sulfoxide on hepatic differentiation of mesenchymal stem cells

INTRODUCTION

Adipose tissue-derived mesenchymal stem cells (AT-MSCs) are suitable choices in autologous stem cell treatment of liver-associated diseases due to their hepatic differentiation potential. Dimethyl sulfoxide (DMSO) is an amphipathic molecule with potential of delivering both lipophilic and hydrophilic agents into cells, also a common cryoprotectant for freezing of the cells. DMSO was used in some protocols for induction of AT-MSCs towards hepatocyte like cells. However, the effect of DMSO on hepatogenic differentiation of AT-MSCs were not surveyed, previously. In the present study, we aimed at evaluation of the effect of DMSO on differentiation of AT-MSCs into hepatic lineage.

METHODS

We isolated mesenchymal stem cells (MSCs) from adipose tissue, and then verifies multi-potency and surface markers of AT-MSCs . Isolated AT-MSCs randomly dispensed in four groups including Group 1: HGF treated, 2: HGF&plus; DMSO treated, 3: HGF&plus; DMSO&plus; OSM treated, and group control for a period of 3 weeks in the expansion medium without serum; EGF and bFGF were also included in the first days of inductions. The morphologic changes during induction period was observed with microscopy. The secretion of albumin (ALB) of the differentiating MSCs was investigated using ELISA, and urea production was evaluated using colorimetric assay. The qRT-PCR was performed for quantitation of hepatocyte marker genes including AFP, ALB, CK18, HNF4a, and HNF6. The glycogen storage of differentiated cells was visualized by periodic-acid Schiff&lsquo;s staining.

RESULTS

The results demonstrate that DMSO speeds up hepatic differentiation of AT-MSCs characterized by rapid changes in morphology; higher expression of hepatic marker gene (ALB) in both mRNA and protein level (P &lt; 0.05); also increased transcriptional levels of other liver genes including CK18, HNF4a, and HNF6 (P &lt; 0.01); and moreover, greater percentage of glycogen storage(p &lt; 0.05) in DMSO-treated groups.

CONCLUSION

DMSO catalyzes hepatic differentiation; therefore, using DMSO for acceleration of the hepatogenic protocols of AT-MSCs appears advantageous.

Optimized condition for enhanced soluble-expression of recombinant mutant anabaena variabilis phenylalanine ammonia lyase

PURPOSE

Recently discovered Anabaena variabilis phenylalanine ammonia lyase (AvPAL) proved to be a good candidate for enzyme replacement therapy of phenylketonuria. Outstanding stability properties of a mutant version of this enzyme, produced already in our laboratory, have led us to the idea of culture conditions optimization for soluble expression of this therapeutically valuable enzyme in E. coli.

METHODS

In the present study, the gene encoding mutant version of AvPAL was cloned into the pET28a expression vector. Different concentrations of IPTG, induction period, growth temperature, shaking speed, as well as different types of culture media were examined with respect to the amount of recombinant protein produced and specific activity of the enzyme.

RESULTS

Based upon our findings, maximum amount of active mutant enzyme was attained by addition of 0.5 mM IPTG at 150 rpm to the TB culture media. The yield of active enzyme at cluture tempreature of 25 °C and induction period of 18 hour was the highest.

CONCLUSION

The results of this study indicated that the yield of mutant AvPAL production in E. coli can be affected mainly by culture temperature and inducer concentration.

Evolutionary Origin and Conserved Structural Building Blocks of Riboswitches and Ribosomal RNAs: Riboswitches as Probable Target Sites for Aminoglycosides Interaction

PURPOSE

Riboswitches, as noncoding RNA sequences, control gene expression through direct ligand binding. Sporadic reports on the structural relation of riboswitches with ribosomal RNAs (rRNA), raises an interest in possible similarity between riboswitches and rRNAs evolutionary origins. Since aminoglycoside antibiotics affect microbial cells through binding to functional sites of the bacterial rRNA, finding any conformational and functional relation between riboswitches/rRNAs is utmost important in both of medicinal and basic research.

METHODS

Analysis of the riboswitches structures were carried out using bioinformatics and computational tools. The possible functional similarity of riboswitches with rRNAs was evaluated based on the affinity of paromomycin antibiotic (targeting "A site" of 16S rRNA) to riboswitches via docking method.

RESULTS

There was high structural similarity between riboswitches and rRNAs, but not any particular sequence based similarity between them was found. The building blocks including "hairpin loop containing UUU", "peptidyl transferase center conserved hairpin A loop"," helix 45" and "S2 (G8) hairpin" as high identical rRNA motifs were detected in all kinds of riboswitches. Surprisingly, binding energies of paromomycin with different riboswitches are considerably better than the binding energy of paromomycin with "16S rRNA A site". Therefore the high affinity of paromomycin to bind riboswitches in comparison with rRNA "A site" suggests a new insight about riboswitches as possible targets for aminoglycoside antibiotics.

CONCLUSION

These findings are considered as a possible supporting evidence for evolutionary origin of riboswitches/rRNAs and also their role in the exertion of antibiotics effects to design new drugs based on the concomitant effects via rRNA/riboswitches.

Significance of microRNA targeted estrogen receptor in male fertility

OBJECTIVE(S)

Estrogen receptor-alpha (ERα) mediates estrogen action in regulation of different levels of the hypothalamic-pituitary-testis axis. It has a key role in spermatogenesis. Estrogen receptor alpha knock-out (ER koα) male mice were infertile and severe impairment in spermatogenesis and seminiferous tubules was observed. Recently, it has been reported that microRNA (miRNA) mir-100 and let-7b were predicted to target ERα gene. MiRNA are small, endogenous, single stranded RNA molecules that regulate gene expression and have been implicated in various disease states. It has been proved that some miRNAs expression is tissue- and disease-specific, giving potential for identifying miRNAs as a diagnostic tool.

MATERIALS AND METHODS

In this study, the change in the expression levels of mir-100, let-7b and ERα expression levels were evaluated in oligospermic infertile patients (n=43) compared to control fertile subjects (n=43). After washing and separating sperms, total RNA was isolated and then cDNA was synthesized. The expression levels of mir-100 and let-7b and ERα were evaluated by real time PCR.

RESULTS

Mir-100, let-7b levels were significantly higher than those in control group (P=0.008 and P=0.009, respectively). We have found that, ERα level was significantly decreased in comparison with normal group (P< 0.0001).

CONCLUSION

Changes in mir-100, let-7b and ERα expression levels in oligospermic patients may be associated with the susceptibility and progression of infertility. The results of this study indicate that miRNA can have a key role in spermatogenesis and might have a diagnostic and prognostic value in men infertility.

Spectroscopic and molecular modeling studies of human serum albumin interaction with propyl gallate

For the first time, PG interaction with HSA using fluorescence quenching method, circular dichroism spectroscopy and molecular modeling was investigated.

Intracellular ROS protection efficiency and free radical-scavenging activity of curcumin

Curcumin has many pharmaceutical applications, many of which arise from its potent antioxidant properties. The present research examined the antioxidant activities of curcumin in polar solvents by a comparative study using ESR, reduction of ferric iron in aqueous medium and intracellular ROS/toxicity assays. ESR data indicated that the steric hindrance among adjacent big size groups within a galvinoxyl molecule limited the curcumin to scavenge galvinoxyl radicals effectively, while curcumin showed a powerful capacity for scavenging intracellular smaller oxidative molecules such as H₂O₂, HO^•, ROO^•. Cell viability and ROS assays demonstrated that curcumin was able to penetrate into the polar medium inside the cells and to protect them against the highly toxic and lethal effects of cumene hydroperoxide. Curcumin also showed good electron-transfer capability, with greater activity than trolox in aqueous solution. Curcumin can readily transfer electron or easily donate H-atom from two phenolic sites to scavenge free radicals. The excellent electron transfer capability of curcumin is because of its unique structure and different functional groups, including a β-diketone and several π electrons that have the capacity to conjugate between two phenyl rings. Therfore, since curcumin is inherently a lipophilic compound, because of its superb intracellular ROS scavenging activity, it can be used as an effective antioxidant for ROS protection within the polar cytoplasm.