Targeted drug delivery using nanobodies to deliver effective molecules to breast cancer cells: the most attractive application of nanobodies

Targeted drug delivery is one of the attractive ways in which cancer treatment can significantly reduce side effects. In the last two decades, the use of antibodies as a tool for accurate detection of cancer has been noted. On the other hand, the binding of drugs and carriers containing drugs to the specific antibodies of cancer cells can specifically target only these cells. However, the use of whole antibodies brings challenges, including their large size, the complexity of conjugation, the high cost of production, and the creation of immunogenic reactions in the body. The use of nanobodies, or VHHs, which are a small part of camel heavy chain antibodies, is very popular due to their small size, high craftsmanship, and low production cost. In this article, in addition to a brief overview of the structure and characteristics of nanobodies, the use of this molecule in the targeted drug delivery of breast cancer has been reviewed.

Introduction of a new recombinant vaccine based on GRP78 for breast cancer immunotherapy and evaluation in a mouse model

Introduction

Breast cancer is one of the most prevalent malignancies in women. Several treatment options are available today, including surgery, chemotherapy, and radiotherapy. Immunotherapy, as a highly specific therapy, involves adaptive immune responses and immunological memory. In our present research, we used the recombinant C-terminal domain of the GRP78 (glucose- regulated protein 78) protein to induce an immune response and investigate its therapeutic impact in the 4T1 breast cancer model.

Methods

BALB/c mice were immunized with the cGRP78 protein. The humoral immune response was assessed by ELISA. Then, BALB/c mice were injected subcutaneously with 1×106 4T1 tumor cells. Subsequently, tumor size and survival rate measurements, MTT, and cytokine assays were performed.

Results

The animals receiving the cGRP78 vaccine showed significantly more favorable survival and slower tumor growth rates compared with unvaccinated tumor-bearing mice as the negative control mice. Circulating levels of tumoricidal cytokines such as IFNγ were higher, whereas tolerogenic cytokines such as IL-2, 6, and 10 either did not increase or had a decreasing trend in mice receiving cGRP78.

Conclusion

cGRP78 vaccines generated potent immunotherapeutic effects in a breast cancer mouse model. This novel strategy of targeting the GRP78 protein can promote the development of cancer vaccines and immunotherapies for breast cancer malignancies.

Polymeric nanoparticles for DNA vaccine-based cancer immunotherapy: a review

Cancer is one of the leading causes of death and mortality in the world. There is an essential need to develop new drugs or therapeutic approaches to manage treatment-resistant cancers. Cancer immunotherapy is a type of cancer treatment that uses the power of the body's immune system to prevent, control, and eliminate cancer. One of the materials used as a vaccine in immunotherapy is DNA. The application of polymeric nanoparticles as carriers for DNA vaccines could be an effective therapeutic approach to activate immune responses and increase antigen presentation efficiency. Various materials have been used as polymeric nanoparticles, including: chitosan, poly (lactic-co-glycolic acid), Polyethylenimine, dendrimers, polypeptides, and polyesters. Application of these polymer nanoparticles has several advantages, including increased vaccine delivery, enhanced antigen presentation, adjuvant effects, and more sustainable induction of the immune system. Besides many clinical trials and commercial products that were developed based on polymer nanoparticles, there is still a need for more comprehensive studies to increase the DNA vaccine efficiency in cancer immunotherapy using this type of carrier.

Covid-19 prevention and treatment by targeting Fc-fusion proteins: An experience to fight emerging diseases

The coronavirus disease 2019 (Covid-19) pandemic has been considered a major threat to human health. Effective therapeutic approaches are urgently required. Spike protein and the Angiotensin-converting enzyme 2 (ACE2) receptors have critical roles in SARS-CoV-2 infection. As a result, these two proteins are considered potential targets for the development of a wide variety of biotherapeutics and vaccines for controlling Covid-19. The fusion proteins have desirable medicinal properties, including high serum half-life, stability, and solubility in the body. Moreover, other Fc-fusion proteins used to treat other diseases have no known side effects. These Fc-fusion proteins are valuable biopharmaceuticals and have been proposed as therapeutic candidates for the treatment and prevention of Covid-19 owing to their potential therapeutic benefits.

Analysis and comparison of anti-RBD neutralizing antibodies from AZD-1222, Sputnik V, Sinopharm and Covaxin vaccines and its relationship with gender among health care workers

Background

Vaccine efficiency has a significant role in the public perception of vaccination. The current study was designed to evaluate the efficacy of COVID-19 vaccines (AZD-1222, Sputnik-V, Sinopharm, and Covaxin) and the effect of gender on vaccine efficacy. We evaluated the efficacy of these vaccines among 214 health care employees in Iran. Blood samples were taken from all participants on day 0 and 14 days after the second dose. Humoral responses were evaluated by the PT-SARS-CoV-2-Neutralizing-Ab-96.

Results

The frequency of immunized individuals in the Sputnik V and AZD-1222 groups was 91% and 86%, respectively. This rate was 61% and 67% for Sinopharm and Covaxin vaccines. A comparison of the results obtained from the effectiveness of the vaccines between female and male groups did not demonstrate a significant difference.

Conclusion

According to the results, Sputnik V and AZD-1222 vaccines were more effective than Sinopharm and Covaxin vaccines. Moreover, the effectiveness of these vaccines is not related to gender.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12979-022-00303-x.

The recent advancements in the early detection of cancer biomarkers by DNAzyme-assisted aptasensors

Clinical diagnostics rely heavily on the detection and quantification of cancer biomarkers. The rapid detection of cancer-specific biomarkers is of great importance in the early diagnosis of cancers and plays a crucial role in the subsequent treatments. There are several different detection techniques available today for detecting cancer biomarkers. Because of target-related conformational alterations, high stability, and target variety, aptamers have received considerable interest as a biosensing system component. To date, several sensitivity-enhancement strategies have been used with a broad spectrum of nanomaterials and nanoparticles (NPs) to improve the limit and sensitivity of analyte detection in the construction of innovative aptasensors. The present article aims to outline the research developments on the potential of DNAzymes-based aptasensors for cancer biomarker detection.

In silico and in vitro analysis of a rational mutation in gIII signal peptide and its effects on periplasmic expression of rhGH in E. coli

The secretion efficiency of a heterologous protein in E. coli is mainly dictated by the N-terminal signal peptide fused to the desired protein. In this study, we aimed to select and introduce mutations into the - 1, - 2 and - 3 positions of the gIII signal peptide (originated from filamentous phage fd Gene III) fused to the N-terminus of the human growth hormone (hGH), and study its effect on the secretion efficiency of the recombinant hGH into the periplasmic space of E. coli Top10. Bioinformatics software such as SignalP-5.0 and PrediSi were employed to predict the effects of the mutations on the secretion efficiency of the recombinant hGH. Site-directed mutagenesis was applied to introduce the desired mutations into the C-terminus of the gIII signal peptide. The periplasmic expression and the secretion efficiency of the recombinant hGH using the native and mutant gIII signal peptides were compared in E. coli Top10 under the control of araBAD promoter. Our results from bioinformatics analysis indicated that the mutant gIII signal peptide was more potent than the native one for secretion of the recombinant hGH in E. coli. While our experimental results revealed that the mutation had no effect on hGH secretion. This result points to the importance of experimental validation of bioinformatics predictions.

Nanobodies; new molecular instruments with special specifications for targeting, diagnosis and treatment of triple-negative breast cancer

Breast cancer is the most common type of cancer in women and the second leading cause of cancer death in female. Triple-negative breast cancer has a more aggressive proliferation and a poorer clinical diagnosis than other breast cancers. The most common treatments for TNBC are chemotherapy, surgical removal, and radiation therapy, which impose many side effects and costs on patients. Nanobodies have superior advantages, which makes them attractive for use in therapeutic agents and diagnostic kits. There are numerous techniques suggested by investigators for early detection of breast cancer. Nevertheless, there are fewer molecular diagnostic methods in the case of TNBC due to the lack of expression of famous breast cancer antigens in TNBC. Although conventional antibodies have a high ability to detect tumor cell markers, their large size, instability, and costly production cause a lot of problems. Since the HER-2 do not express in TNBC diagnosis, the production of nanobodies for the diagnosis and treatment of cancer cells should be performed against other antigens expressed in TNBC. In this review, nanobodies which developed against triple negative breast cancer, were classified based on type of antigen.

COVID-19 cases, hospitalizations and deaths after vaccination: a cohort event monitoring study, Islamic Republic of Iran

Objective

To investigate the incidence of coronavirus disease 2019 (COVID-19) cases, hospitalizations and deaths in Iranians vaccinated with either AZD1222 Vaxzevria, CovIran® vaccine, SARS-CoV-2 Vaccine (Vero Cell), Inactivated (lnCoV) or Sputnik V.

Methods

We enrolled individuals 18 years or older receiving their first COVID-19 vaccine dose between April 2021 and January 2022 in seven Iranian cities. Participants completed weekly follow-up surveys for 17 weeks (25 weeks for AZD1222) to report their COVID-19 status and hospitalization. We used Cox regression models to assess risk factors for contracting COVID-19, hospitalization and death.

Findings

Of 89 783 participants enrolled, incidence rates per 1 000 000 person-days were: 528.2 (95% confidence interval, CI: 514.0-542.7) for contracting COVID-19; 55.8 (95% CI: 51.4-60.5) for hospitalization; and 4.1 (95% CI: 3.0-5.5) for death. Compared with SARS-CoV-2 Vaccine (Vero Cell), hazard ratios (HR) for contracting COVID-19 were: 0.70 (95% CI: 0.61-0.80) with AZD1222; 0.73 (95% CI: 0.62-0.86) with Sputnik V; and 0.73 (95% CI: 0.63-0.86) with CovIran®. For hospitalization and death, all vaccines provided similar protection 14 days after the second dose. History of COVID-19 protected against contracting COVID-19 again (HR: 0.76; 95% CI: 0.69-0.84). Diabetes and respiratory, cardiac and renal disease were associated with higher risks of contracting COVID-19 after vaccination.

Conclusion

The rates of contracting COVID-19 after vaccination were relatively high. SARS-CoV-2 Vaccine (Vero Cell) provided lower protection against COVID-19 than other vaccines. People with comorbidities had higher risks of contracting COVID-19 and hospitalization and should be prioritized for preventive interventions.

The Recent Progress in DNAzymes-Based Aptasensors for Thrombin Detection

Thrombin (TB) is classified among human blood coagulation proteins with key functions in hemostasis of blood vessels, wound healing, atherosclerosis, tissue adhesion, etc. Moreover, TB is involved as the main enzyme in the conversion of the fibrinogen to fibrin. Given the importance of TB detection in the clinical area, the development of innovative methods can considerably improve TB detection. Newly, aptasensors or aptamer-based biosensors have received special attention for sensitive and facile TB detection. In addition, the aptamer/nanomaterial conjugates have presented new prospects in accurate TB detection as nanoaptasensors. DNA-based enzymes or DNAzymes, as new biocatalysts, have many advantages over protein enzymes and can be used in analytical tools. This article reviews a brief overview of significant progresses regarding the various types of DNAzymes-based aptasensors and nano aptasensors developed for thrombin detection. In the following, challenges and prospects of TB detection by DNAzymes-based aptasensors are discussed.

A Comprehensive Review on Selenium and Its Effects on Human Health and Distribution in Middle Eastern Countries

Selenium (Se) is an important microelement with numerous positive effects on human health and diseases. It is important to specify that the status and consumption of Se are for a specific community as the levels of Se are extremely unpredictable between different populations and regions. Our existing paper was based on the impacts of Se on human health and disease along with data on the Se levels in Middle Eastern countries. Overall, the findings of this comprehensive review show that the consumption and levels of Se are inadequate in Middle Eastern nations. Such findings, together with the growing awareness of the importance of Se to general health, require further work primarily on creating an acceptable range of blood Se concentration or other measures to determine optimal Se consumption and, consequently, to guarantee adequate Se supplementation in populations at high risk of low Se intake.

Prevalence of COVID-19 vaccines (Sputnik V, AZD-1222, and Covaxin) side effects among healthcare workers in Birjand city, Iran

Background

The prevalence of vaccine side effects plays an important role in public perception about vaccination programs. This study was designed to investigate the side effects of the first dose of COVID-19 vaccine; Sputnik-V, AZD-1222, and Covaxin.

Methods

A study was performed to evaluate the side effects of these vaccine among 503 health care workers in Birjand (Iran). Our study used the questionnaire consisted of 4 main categories including demographic data, previous COVID-19 infection, vaccine information, and local and systemic side effects of vaccines.

Results

81.9%, 88.8%, and 92.9% of people who have been vaccinated with Sputnik-V, AZD1222, and Covaxin vaccines, respectively, have reported at least one side effect. The prevalence of systemic side effects in AZD-1222 vaccine was higher than Sputnik V and Covaxin vaccines. Injection site pain (62.1%), fatigue (43.9%), muscle pain (42.5%), and fever (40.6%) were the most common side effects in all three vaccines. Side effect frequency was higher in the female group (90.6%) than the male group (79.5%). The prevalence of side effects with Sputnik V and Covaxin vaccines was reduced in the elderly. Moreover, the prevalence of side effects was higher in the case of convalescent patients (92.4 %) than in the group with no history of infection. The prevalence of side effects was higher in person with a BMI above 25 in the AZD-1222 and Covaxin vaccines.

Conclusions

The most common side effects of the Sputnik-V, AZD-1222, and Covaxin vaccine among Birjand (Iran) healthcare workers were injection site pain, muscle pain, fatigue, fever, and headache. Age and gender were the most important variables in the prevalence of vaccine side effects.

Nanobodies: a tool to open new horizons in diagnosis and treatment of prostate cancer

Background

Prostate cancer is one of the most common cancers in men and its incidence has increased dramatically in the last decade. This increase in the detection of this type of cancer is based more on the detection of PSA or PSMA antigens as the most important specific antigens of this cancer, and this early detection has greatly helped in the more optimal treatment of patients.

Main body

Many methods have been proposed by researchers for early detection of prostate cancer, but most of the methods used today to detect this type of cancer have been using classical antibodies. Although classical antibodies are able to detect tumor cell markers, but instability, large size, costly and laborious production, and random immobility characteristics, causes many problems. Nanobodies or VHHs, which are derived from camel heavy chain antibodies, have special advantages and have eliminated the disadvantages of classical antibodies which makes them attractive to use in biosensors and cancer diagnostic kits. The research that has been done so far shows that the introduced nanobodies are created for the purpose of targeting, detecting and sensing prostate cancer cells with two main purposes. The first is the efficient identification of prostate cancer and the second is the elimination of cancer cells.

Conclusion

Research shows the use of specific nanobodies against prostate cancer antigens in the design of biosensors and target therapy will be very interesting. In this review article, these nanobodies are introduced and categorized based on their performance.

Predictors of Unmet Dental Health Needs in US Adults in 2018: A Cross-Sectional Analysis

OBJECTIVE

To identify predictors of unmet dental needs for adults 18 y of age or older in the United States.

METHOD

Using the Aday and Andersen framework and data from the 2018 Behavioral Risk Factor Surveillance System (BRFSS), we ran logistic regression to estimate predictors for adults of not having a dental visit within 5 y and having lost any teeth using a national sample of 155,060 survey respondents.

RESULTS

Results showed that predisposing factors (age, race/ethnicity, gender, and educational attainment) and enabling factors (income and health insurance status) are important predictors for losing teeth due to decay or gum disease. Men, the elderly, and less educated and low-income residents were less likely to have seen a dentist within the past 5 y and more likely to have lost their permanent teeth. Compared to non-Hispanic White adults, Hispanics adults were more likely to have had a dental visit within the past 5 y. Unmet dental needs varied across states. People living in states with extensive Medicaid dental care benefit coverage were less likely to lose their teeth and more likely to have had a dental visit within the past 5 y.

CONCLUSION

Efforts to improve oral health should address unmet dental needs of men and adults with low socioeconomic status. Studying the variation between state oral health care programs could further our understanding of how public policy can improve population oral health.

KNOWLEDGE TRANSFER STATEMENT

Men, non-Hispanic Blacks, mixed and other race minorities, and low socioeconomic status adults are most at risk of unmet dental needs. States can address these needs by expanding Medicaid coverage for adults.

Nanobodies, the potent agents to detect and treat the Coronavirus infections: A systematic review

The newly emerged coronavirus (SARS-CoV-2) continues to infect humans, and no effective treatment has yet been found. Antibody therapy is one way to control infection caused by COVID-19. However, the use of classical antibodies raises complex issues. Heavy chain antibodies (HCAbs) are single-domain antibodies derived from the Camelidae family. The variable part of these antibodies (Nanobodies or VHH) has interesting properties such as small size, cost-effective production, and good tissue permeability, causing VHH to be regarded as an antiviral therapeutics. However, the small size of nanobodies may lead to low antigen binding affinity and rapid renal clearance. In this systematic review, the application of nanobodies in the treatment of COVID-19 infection and other similar infections (MERS and SARS) was reviewed.

Effect of continuous positive airway pressure therapy in patients with paroxysmal atrial fibrillation and obstructive sleep apnea: a randomized controlled trial

Background

There is strong evidence for an association between atrial fibrillation (AF) and sleep apnea (SA).

Purpose

We aimed to examine the effect of treatment with continuous positive airway pressure (CPAP) on the burden of AF.

Methods

After a run-in period for CPAP-tolerance, we randomly assigned 108 eligible patients between 18–75 years, who had paroxysmal AF and moderate-to-severe obstructive SA (apnea-hypopnea index (AHI)≥15), to receive either CPAP treatment (n=54) plus usual care or usual care alone (n=54) for five months. An implanted loop recorder measured time in AF continuously. The primary endpoint was the difference in change of AF burden (% of time in AF) between CPAP treatment and usual care from baseline (one month prior to randomization) to the last three months of the intervention period. Secondary endpoints were changes in quality of life assessed by the Short Form-36 (SF-36), Epworth Sleepiness Scale (ESS), and the Functional Outcomes of Sleep Questionnaire (FOSQ).

Results

Mean (SD) age was 62.4 (7.7) years, BMI 29.4 (4.2) kg/m2, ESS 7.9 (3.2), and 76.1% were men. In the intervention group, the mean duration of adherence to CPAP therapy was 4.3 hours/night. During treatment mean AHI decreased from 27.6 events/hour at baseline to 2.3 events/hour during follow-up. Mean time in AF decreased from 5.0%-4.3% in the control group and from 5.6%-4.1% in the CPAP group, but the difference in change was not significant (p=0.52). Sub-analysis of those using CPAP><4 hours/night also showed no difference, neither did the quality of life questionnaires.

Conclusion

This is the first randomized controlled trial to assess the effect of treatment of SA on the burden of AF, and did not detect a difference between those treated with CPAP compared to usual care alone.

Funding Acknowledgement

Type of funding source: Public hospital(s). Main funding source(s): Oslo University Hospital is the main funding Source. ResMed Science Center provided an unrestricted grant.

Isolation of Indigenous Selenium Tolerant Yeast and Investigation of the Relationship Between Growth and Selenium Biotransformation

Purpose: Organic selenium compound such as selenomethionine plays a significant function in the response to oxidative stress. Saccharomyces cerevisiae have the ability to accumulate selenium and selenium biotransformation. Selection of indigenous selenium tolerant yeast is our goals. The relationship between cell growth and selenium biotransformation was also investigated.

Methods: The screening of the yeast cell was carried out at two steps in order to select yeast with high capacity for resistance and accumulation of selenium. The isolates were selected according to produced high biomass at different concentrations of selenium. Secondly, best yeast strains from previous step were grown in presence of 25 mg/L of sodium selenite and organic selenium content was measured.

Results: The S17 isolate showed had maximum organic selenium accumulation (2515 ppm) and biomass production (2.73 g/L) compared to the other isolates. The biomass production and organic selenium accumulation of the S17 during 120 hours was shown a direct relationship between growth and biotransformation.

Conclusion: This increase in organic selenium content was achieved with yeast screening. It is interesting to know that organic selenium has high bioavailability and low toxicity compared with inorganic selenium. Therefore, finding yeast strains which are resistant to selenium can be very helpful in cancer prevention.

Association between polymorphisms in microRNA seed region and warfarin stable dose

BACKGROUND

The optimal dose of anticoagulant warfarin varies among patients to achieve the target international normalised ratio. Although genetic variations related to warfarin pharmacokinetics and vitamin K cycle are important factors associated with warfarin dose requirements, these variations do not completely explain the large interindividual variability observed in the most populations, suggesting that additional factors may contribute to this variability. microRNAs have recently been introduced as regulators of drug function genes, and therefore, may be involved in drug responses. In this study, we aimed to evaluate the possible association between variants in the seed region of microRNAs, which target the genes involved in the action of warfarin and warfarin dose requirement.

METHODS

526 samples were collected from Iranian patients. Four selected polymorphisms in the seed region of microRNAs (rs2910164, rs66683138, rs12416605 and rs35770269 in miR-146a, miR-3622a, miR-938 and miR-449c, respectively) were genotyped by PCR-restriction fragment length polymorphism method.

RESULTS

rs2910164 C/G in the seed region of miR-146a was associated with warfarin dose requirement (p<0.001); the patients with GG genotype had the higher mean dose of warfarin (40.6 mg/week, compared with 33.9 and 31.8 mg/week for GC and CC genotypes, respectively). The association of other polymorphisms with warfarin dose requirement was not statistically significant.

CONCLUSION

rs2910164 C/G in the seed region of miR-146a is associated with warfarin maintenance dose, likely by disrupting interaction between miR-146a and ATP-binding cassette subfamily B member 1 gene, ABCB1. Therefore, this polymorphism may possibly be a potential factor for assessment of warfarin dose requirements.

Musculoskeletal disorders and correctional measures on fig gardeners in Estahban, 2017

Introduction: Agriculture is one of the high-risk occupations, and musculoskeletal disorders are an integral part of this occupation and major farmers suffer from these disorders. The purpose of this study is correctional measures in Estahban. Method: This descriptive-analytical, cross-sectional and observational study was performed on workers in the fig orchard. The Nordic, demographic and body map questionnaires were used to evaluate the prevalence of musculoskeletal symptoms. The study population was 170 randomly selected by simple random sampling. Subsequently, individuals who were exclusively working in the fig orchard (n = 95) were assessed for risk assessment. The methods for evaluating were PATH and QEC. Data were analyzed by SPSS software using McNemar and Wilcoxon tests before and after the intervention. Results: Workers number 95 (55.9%) were only fig orchard workers and the other persons 75 (44.1%) had other jobs. workers 16 (9.4%) were single and 154 (90.6%) were married, mean age were 47.5 ± 14.4 years and work experience was 26.4 ±14.4 years. Frequency of musculoskeletal disorders in organs using body map was significantly different from before intervention (P <0.001). PATH risk level before and after the intervention was less than 0.05, in QEC method the mean total score before and after intervention was 94.36 ±16.09 and 52.63 ±12.18, respectively (P <0.001). Conclusion: Ergonomic interventions can be used as a corrective action.

Association between four microRNA binding site-related polymorphisms and the risk of warfarin-induced bleeding complications

Bleeding is the most serious complication of warfarin anticoagulation therapy and is known to occur even at patients with therapeutic international normalized ratio (INR) range. Recently, it has been shown that microRNAs play a significant role in pharmacogenetics by regulating genes that are critical for drug function. Interaction between microRNAs and these target genes could be affected by single-nucleotide polymorphisms (SNPs) located in microRNA-binding sites. This study focused on 3′-untranslated region (3′-UTR) SNPs of the genes involved in the warfarin action and the occurrence of bleeding complications in an Iranian population receiving warfarin. A total of 526 patients under warfarin anticoagulation therapy with responding to the therapeutic dose and maintenance of the INR in the range of 2.0-3.5 in three consecutive blood tests were included in the study. Four selected 3'-UTR SNPs (rs12458, rs7294, rs1868774 and rs34669593 located in GATA4, VKORC1, CALU and GGCX genes, respectively) with the potential to disrupt/eliminate or enhance/create microRNA-binding site were genotyped using a simple PCR-based restriction fragment length polymorphism (PCR-RFLP) method. Patients with the rs12458 AT or TT genotypes of the GATA4 gene had a lower risk of bleeding compared to patients with the AA genotype (adjusted OR: 0.478, 95% CI: 0.285-0.802, P= 0.005, OR: 0.416, 95% CI: 0.192-0.902, P= 0.026, respectively). 3'-UTR polymorphisms in other genes were not significantly associated with the risk of bleeding complications. In conclusion, the SNP rs12458A>T in the 3′UTR region of GATA4 is associated with the incidence of warfarin-related bleeding at target range of INR, likely by altering microRNA binding and warfarin metabolism. Further genetics association studies are needed to validate these findings before they can be implemented in clinical settings.

Aptasensors as a new sensing technology developed for the detection of MUC1 mucin: A review

Mucin 1 protein (MUC1) is a membrane-associated glycoprotein overexpressed in the majority of human malignancies and considered as a predominant protein biomarker in cancers. Owing to the crucial role of MUC1 in cancer dissemination and metastasis, detection and quantification of this biomarker is of great importance in clinical diagnostics. Today, there exist a wide variety of strategies for the determination of various types of disease biomarkers, especially MUC1. In this regard, aptamers, as artificial single-stranded DNA or RNA oligonucleotides with catalytic and receptor properties, have drawn lots of attention for the development of biosensing platforms. So far, various sensitivity-enhancement techniques in combination with a broad range of smart nanomaterials have integrated into the design of novel aptamer-based biosensors (aptasensors) to improve detection limit and sensitivity of analyte determination. This review article provides a brief classification and description of the research progresses of aptamer-based biosensors and nanobiosensors for the detection and quantitative determination of MUC1 based on optical and electrochemical platforms.

Evaluation of different gridded rainfall datasets for rainfed wheat yield prediction in an arid environment

The accuracy of daily output of satellite and reanalysis data is quite crucial for crop yield prediction. This study has evaluated the performance of APHRODITE (Asian Precipitation-Highly-Resolved Observational Data Integration Towards Evaluation), PERSIANN (Rainfall Estimation from Remotely Sensed Information using Artificial Neural Networks), TRMM (Tropical Rainfall Measuring Mission), and AgMERRA (The Modern-Era Retrospective Analysis for Research and Applications) precipitation products to apply as input data for CSM-CERES-Wheat crop growth simulation model to predict rainfed wheat yield. Daily precipitation output from various sources for 7 years (2000-2007) was obtained and compared with corresponding ground-observed precipitation data for 16 ground stations across the northeast of Iran. Comparisons of ground-observed daily precipitation with corresponding data recorded by different sources of datasets showed a root mean square error (RMSE) of less than 3.5 for all data. AgMERRA and APHRODITE showed the highest correlation (0.68 and 0.87) and index of agreement (d) values (0.79 and 0.89) with ground-observed data. When daily precipitation data were aggregated over periods of 10 days, the RMSE values, r, and d values increased (30, 0.8, and 0.7) for AgMERRA, APHRODITE, PERSIANN, and TRMM precipitation data sources. The simulations of rainfed wheat leaf area index (LAI) and dry matter using various precipitation data, coupled with solar radiation and temperature data from observed ones, illustrated typical LAI and dry matter shape across all stations. The average values of LAI_max were 0.78, 0.77, 0.74, 0.70, and 0.69 using PERSIANN, AgMERRA, ground-observed precipitation data, APHRODITE, and TRMM. Rainfed wheat grain yield simulated by using AgMERRA and APHRODITE daily precipitation data was highly correlated (r² ≥ 70) with those simulated using observed precipitation data. Therefore, gridded data have high potential to be used to supply lack of data and gaps in ground-observed precipitation data.

Simultaneous Optimization of the Production of Organic Selenium and Cell Biomass in Saccharomyces Cerevisiae by Plackett-Burman and Box-Behnken Design

Selenium (Se) as a vital trace element has many biological activities such as anti-inflammation and anti-oxidation. Selenomethionine as an organic selenium plays a vital role in the response to oxidative stress. At present, Saccharomyces cerevisiae is one of the best microorganisms that has the ability to accumulate selenium. Production of Seleno-yeast was done by growing Saccharomyces cerevisiae in the presence of water soluble selenium salt (Na₂SeO₃) as a part of the medium. The yield of selenium biotransformation and yeast biomass can be improved by optimizing the process conditions in two steps. First, the effects of several culture parameters (culture conditions and culture media) were studied using the Plackett-Burman design. After that, determining the optimum levels of the effective parameters was performed by Box-Behnken response surface methodology. Optimization of the conditions was performed with the aim of simultaneously optimizing the biomass and selenium biotransformation. In this investigation, the effect of the eleven culture parameters was studied with Plackett-Burman design. Then, four significant culture parameters such as glucose concentration, aeration, selenium concentration, and temperature were optimized with Box-Behnken response surface methodology.

Autolysis control and structural changes of purified ficin from Iranian fig latex with synthetic inhibitors

The fig's ficin is a cysteine endoproteolytic enzyme, which plays fundamental roles in many plant physiological processes, and has many applications in different industries such as pharmaceutical and food. In this work, we report the inhibition and activation of autolysis and structural changes associated with reaction of ficin with iodoacetamide and tetrathionate using high-performance liquid chromatography (HPLC), ultra filtration membrane, and dynamic light scattering (DLS) methods. The ficin structural changes were also determined using UV-absorption, circular dichroism (CD), fluorescence spectroscopy, and differential scanning calorimetry (DSC) techniques. These techniques demonstrated that iodoacetamide completely inhibited ficin autolysis, which was irreversible. However, tetrathionate partially and reversibility inhibited its autolysis. The ficin structural changes with two synthetic inhibitors were associated with secondary structural changes related to decreased alpha-helix and increased beta sheet and random coil conformations, contributing to its aggregation.

Isolation of indigenous Glutathione producing Saccharomyces cerevisiae strains

BACKGROUND

Glutathione (GSH) is a non-protein thiol compound, which plays an important role in the response to oxidative stress and nutritional stress. The aim of this study was to isolate indigenous S. cerevisiae strains capable of effectively produce GSH.

METHODS

One hundred-twenty sweet fruit samples were collected. The strains were isolated on yeast glucose chloramphenicol (YGC) agar medium and identified. The isolates were evaluated for GSH producing on yeast malt (YM) medium. Concentration of glutathione was investigated by recording absorbance of all samples at wavelength 412 nm (Ellman's method). In addition, optimization of glucose and peptone concentration in culture medium and the effects of various environmental conditions such as temperature (20-35 °C), agitation rate (150-250 rpm), and initial pH (4.0-6.0) were assessed on producing of GSH.

RESULTS

From 120 samples, 80 isolates were identified by morphological, biochemical and molecular tests as S. cerevisiae. Five isolates were capable to produce effectively GSH. The optimal culture conditions were agitation rate, 200 rpm; temperature, 30 °C; initial pH, 6; glucose, 30 g/l; and peptone concentration, 5 g/l. In optimal conditions, the amount of derived glutathione was improved compared to YM basal medium and highest GSH concentration (296.8 mg/l) was obtained after cultivation with shaking for 72 h.

CONCLUSION

The possibility of obtaining S. cerevisiae cells with a high GSH intracellular content can be considered an interesting opportunity of furthering the range of application and utilization of this molecule.

Towards proposition of a diagnostic reference level for mammographic examination in the greater Khorasan Province, Iran

Although, over the past few years, the application of mammography has risen up sharply in Iran, very little, if any, has been reported of the extent of patient's dose from this type of imaging. The purpose of this study was to establish local diagnostic reference level (DRL) arising from mammography in the great Khorasan province of Iran. It is generally assumed that the glandular tissue is the most vulnerable type of breast tissue. Therefore, the mean glandular dose (MGD) has been widely accepted as the most appropriate dosimetric quantity to predict the risk of radiation-induced cancer. Literary, DRL for mammography is defined as the 75th percentile of MGD distribution. In Khorasan province, 7 out of 40 centres were randomly selected. In this work, 100 patients were studied. Thermoluminescence dosimeters have been used to measure entrance surface doses (ESDs). Since, it is difficult to directly measure MGD, Monte Carlo model-based conversion factors were utilised to conclude MGD from ESD. The results have revealed that patients dose is varied widely. The measured ESDs ranged from 0.74 to 19.81 mGy for the craniocaudal (CC) view and 1.20 to 25.79 mGy for the mediolateral oblique (MLO) view. The average MGDs per image were 0.88 and 1.11 mGy for CC and MLO views, respectively. Based on the internationally adopted definition, DRL arising from mammography tests for Khorasan is 1.33 mGy. Implementation of a dose reduction programme is suggested because of the large variations observed in patient MGD values. In this study, the DRL value is significantly lower than the corresponding values suggested by other researchers elsewhere.

The intermediary role of self-efficacy in relation with stress, glycosylated haemoglobin and health-related quality of life in patients with type2 diabetes

BACKGROUND

Stress is not always a direct result of stressful conditions, but rather the way they are perceived. Thus individual variables that may be associated with perceived stress should be examined in stress studies. This study investigates the intermediary role of self-efficacy in relation with stress, glycosylated haemoglobin and health-related quality of life in patients with type2 diabetes.

METHODS

All women with diabetes in Yazd Diabetes Research Centre, in 2012, were considered and 80 women were selected by random sampling. They completed Shirer's self-efficacy scale questionnaire, depression, anxiety and stress scale (DASS), and ADDQ0L19 questionnaire. Then they were introduced to the lab for blood test. Data were analysed by SPSS software and stepwise regression method.

RESULTS

Pearson correlation test results showed that the hemoglobin A1c (r = 0.35) and Quality of Life (r = -0.22) are associated with stress (P <0.05). As so hemoglobin A1c (r = 0.83) and Quality of Life (r = 0.37) with variable of self efficacy are associated positively and significantly (P <0.05). Results of stepwise regression also showed that self efficacy and stress scales 0.697 of variance hemoglobin A1c and 0.140 of variance of Quality of life explaining to do.

CONCLUSION

The impact of stress on blood sugar and patients' health-related quality of life can be influenced by their self-efficacy; therefore it is suggested that an educational intervention is done to increase patients' self-efficacy to better cope with stress in their life.

Isolation and characterization of protective anti-LPS nanobody against V. cholerae O1 recognizing Inaba and Ogawa serotypes

Vibrio cholerae is considered one of the major health threats in developing countries. Lack of efficient vaccine, short incubating time of the disease, and bacterium ability to survive in aquatic environment have made cholera one of the most epidemic diseases yet known. The lipopolysaccharide is one of the bacterium key antigens used to classify V. cholerae into 206 serogroups. V. cholerae serogroup O1 is a causative agent of all cholera pandemics. Research has shown that anti-lipopolysaccharide (LPS) antibodies could provide protective immunity in cholera cases. In this research, we used N-terminal fragments of the camel's heavy-chain antibodies called VHH or nanobodies and produced a phagemid library. The obtained library was panned against V. cholerae O1 LPS, and four monoclonal nanobodies were isolated. Isolated nanobodies were tested in LPS ELISA and bacterial ELISA. The nanobody with the highest affinity toward the bacterium was used in an in vivo challenge and successfully neutralized the bacterium infection. The isolated nanobody showed high thermostability and proteolytic resistance in characterization tests.

Inverted impacted primary maxillary incisors: a case report

Tooth impaction rarely occurs in primary dentition. Most of the primary teeth impactions are seen in second molars. The purpose of this article is to present a 4-year-old girl with bilateral impaction of inverted primary maxillary central incisors which trauma had displaced their tooth germ before erupting.

DXRaySMCS: a user-friendly interface developed for prediction of diagnostic radiology X-ray spectra produced by Monte Carlo (MCNP-4C) simulation

In this work, the general purpose Monte Carlo N-particle radiation transport computer code (MCNP-4C) was used for the simulation of X-ray spectra in diagnostic radiology. The electron's path in the target was followed until its energy was reduced to 10 keV. A user-friendly interface named 'diagnostic X-ray spectra by Monte Carlo simulation (DXRaySMCS)' was developed to facilitate the application of MCNP-4C code for diagnostic radiology spectrum prediction. The program provides a user-friendly interface for: (i) modifying the MCNP input file, (ii) launching the MCNP program to simulate electron and photon transport and (iii) processing the MCNP output file to yield a summary of the results (relative photon number per energy bin). In this article, the development and characteristics of DXRaySMCS are outlined. As part of the validation process, output spectra for 46 diagnostic radiology system settings produced by DXRaySMCS were compared with the corresponding IPEM78. Generally, there is a good agreement between the two sets of spectra. No statistically significant differences have been observed between IPEM78 reported spectra and the simulated spectra generated in this study.

Organ and effective doses of patients arising from coronary angiography and percutaneous transluminal coronary angioplasty at two hospitals in Mashhad-Iran

A detailed study of radiation doses received by 83 patients who underwent coronary angiography (CA) and 26 patients who underwent percutaneous transluminal coronary angioplasty (PTCA) by the femoral route in two hospitals in Mashhad-Iran is presented. All procedures were undertaken with Siemens angioscope X-ray equipment. Thermoluminescent dosimeters (TLD-100), suitably calibrated, were used to measure the dose received at five locations on the patient's skin (on the thyroid, gonads and lens of eyes). A dose area product (DAP) meter was also used. DAP values and fluoroscopy times were recorded for each patient. The mean values for DAP were 32.47+/-4.03 and 44.49+/-5.64 Gy cm2 for CA and PTCA, respectively. The patient dosimetry results revealed the thyroid receives the highest dose in CA and PTCA examinations. Also, in this study, DAP to effective dose conversion factors were estimated by means of a Rando phantom and the effective dose received by the patients was estimated for CA and PTCA examinations. The estimated mean values of effective dose were 6.75+/-0.85 and 9.61+/-1.24 mSv, respectively.