Introduction of protein vaccine candidate based on AP65, AP33, and α-actinin proteins against Trichomonas vaginalis parasite: an immunoinformatics design.

BACKGROUND: Trichomonas vaginalis is the most common nonviral sexually transmitted disease (STI) worldwide. Vaccination is generally considered to be one of the most effective methods of preventing infectious diseases. Using AP65, AP33 and α-actinin proteins, this research aims to develop a protein vaccine against Trichomonas vaginalis. METHODS: Based on the B-cell and T-cell epitope prediction servers, the most antigenic epitopes were selected, and with the necessary evaluations, epitope-rich domains of three proteins, AP65, AP33, and α-actinin, were selected and linked. Subsequently, the ability of the vaccine to interact with toll-like receptors 2 and 4 (TLR2 and TLR4) was assessed. The stability of the interactions was also studied by molecular dynamics for a duration of 100 nanoseconds. RESULTS: The designed protein consists of 780 amino acids with a molecular weight of 85247.31 daltons. The results of the interaction of the vaccine candidate with TLR2 and TLR4 of the immune system also showed that there are strong interactions between the vaccine candidate protein with TLR2 (-890.7 kcal mol-1) and TLR4 (-967.3 kcal mol-1). All parameters studied to evaluate the stability of the protein structure and the protein-TLR2 and protein-TLR4 complexes showed that the structure of the vaccine candidate protein is stable alone and in complex with the immune system receptors. Investigation of the ability of the designed protein to induce an immune response using the C-ImmSim web server also showed that the designed protein is capable of stimulating B- and T-cell lymphocytes to produce the necessary cytokines and antibodies against Trichomonas vaginalis. CONCLUSIONS: Overall, our vaccine may have potential protection against Trichomonas vaginalis. However, for experimental in vivo and in vitro studies, it may be a good vaccine candidate.

The significant improvement in ovarian PCOS syndrome using hydralazine and alendronate aromatase inhibitor FDA-approved drugs in Wistar rat models.

Polycystic ovary syndrome (PCOS) is the most common cause of anovulatory infertility. The aim of this study was to investigate the therapeutic potential of vitamin C, glutamine, mesalazine, hydralazine, and alendronate as new drug candidates for the treatment of letrozole-induced PCOS in female Wistar rats. PCOS was induced in rats by intramuscular injection of estradiol valerate (2 mg/kg body weight for 28 days). The rats then received normal saline (PCOS group), letrozole (0.5 mg/kg), vitamin C (100 mg/kg), glutamine (1000 mg/kg), mesalazine (200 mg/kg), hydralazine (30 mg/kg), and alendronate (17.5 mg/kg). Serum testosterone, LH, FSH, estradiol and progesterone levels were determined by ELISA method. H&E staining was used for histological analysis in the ovarian tissues. The groups treated with hydralazine and alendronate, show a significant decrease in testosterone, LH hormone, cystic and atretic follicles, and a significant increase in the number of single layer, multilayer, antral, graafian follicles and the volume of corpus luteum as compared to the PCOS group. Hydrolazine and alendronate appear to be effective in restoring folliculogenesis and increasing ovulation in PCOS rat. So that the natural process of ovulation and the improvement of the histology of polycystic ovaries and its shift towards healthy and active ovaries were observed. This finding supports the potential beneficial effect of hydrolazine and alendronate on improving PCOS complication.

Rational design of B-cell and T-cell multi epitope-based vaccine against Zika virus, an in silico study.

The Zika virus (ZKV) is a single-stranded positive-sense, enveloped RNA virus. Zika infection during pregnancy can cause congenital microcephaly, Guillain-Barré syndrome, miscarriage, and other CNS abnormalities. The world needs safe and effective vaccinations to fight against ZIKV infection since vaccination is generally regarded as one of the most effective ways to prevent infectious diseases. In the present work, we used immunoinformatics and docking studies to construct a vaccine containing multi-epitopes using the structural and non-structural proteins of ZKV. The structural models of ZKV proteins (PrE, PrM, NS1, and NS2A) were constructed using Pyre2 and RaptorX servers. The epitopes of B-cell, T-cell (HTL and CTL), and IFN-γ were predicted, and each epitope's immunogenic nature and physiochemical properties were confirmed. As an adjuvant, the CPG-Oligodeoxynucleotide, an agonist of Toll-like receptor 9 (TLR9), is associated to cytotoxic T-lymphocytes (CTL) epitopes via PAPAP linker. To assess the binding affinity and the tendency of the designed vaccine to induce an immune response through TLR9, molecular docking was done. In the next step, molecular dynamics (MD) simulation to 100 nanoseconds (ns) was used to evaluate the stability of the interaction of the designed vaccine with TLR9. The designed vaccine is predicted to be highly antigenic, non-toxic, soluble, and stable with low flexibility in MD simulation. MD studies indicated that the finalized vaccine-TLR9 docked complex was stable during simulation time. The vaccine construct is able to stimulate both humoral and cellular immune responses. We suppose that our constructed model of the vaccine may have the ability to induce the host immune response against ZKV. Further studies, including in vitro and in vivo experimental analyses, are needed to prove the constructed vaccine's efficacy with multi-epitopes.Communicated by Ramaswamy H. Sarma.

In silico designing a novel TLR4-mediating multiepitope vaccine against monkeypox via advanced immunoinformatics and bioinformatics approaches.

Monkeypox virus is a member of the Poxviridae family, which causes monkeypox zoonotic disease. Since July 2022, the prevention of monkeypox have become more considerable due to the new outbreak, making it a global concern. Therefore, we used an in silico-based method, including immunoinformatics, bioinformatics, molecular docking, and gene cloning approaches to design a novel multiepitope vaccine against monkeypox. Three immunogenic envelope proteins of monkeypox virus, including G10R, E8L, and A30L, were selected to predict appropriate immune system stimulator epitopes. The A30L is common between smallpox and monkeypox virus, so the proposed vaccine may be effective against smallpox too. There is no evidence of allergenicity and toxicity of the vaccine epitopes. To boost the immunogenicity of the designed vaccine, we used the helper epitope of PADRE and RS01as adjuvants. Furthermore, some linkers are used to link epitopes and adjuvants together. The physicochemical futures of the designed vaccine were assessed. The tertiary structure of the vaccine was modeled and then refined to improve its structure and physicochemical properties. To analyze the vaccine construct and TLR4 complex affinity, they were docked to gather. Besides, the vaccine was cloned into E.coli. pET-21b(+) plasmid to reveal that it can be expressed and stimulate the immune system. Immune stimulation evaluation showed that the candidate vaccine could induce the production of IgM, IgG1, and IgG2 antibodies. Overall, we suggested an effective vaccine candidate against monkeypox. However, Future studies and clinical trials should be done to ensure the efficacy and safety of this vaccine.Communicated by Ramaswamy H. Sarma.

Molecular detection of genes encoding resistance to tetracycline and quinolones among Shigella strains isolated from children with acute diarrhea in southwest Iran.

Background and Objectives: An increase in the antibiotic resistance of Shigella isolates has caused major global challenges in antimicrobial therapy. Knowledge of local antibiotic resistance trends is essential for selecting appropriate antibiotic treatment regimens. This study aimed to evaluate the frequency of efflux-mediated tetracycline resistance (tet) and plasmid-mediated quinolone resistance (qnr) genes among Shigella isolates. Materials and Methods: This survey investigated 91 Shigella isolates, obtained from children with acute diarrhea. The isolates were identified using standard biochemical tests and confirmed by polymerase chain reaction (PCR) assay. Besides, the susceptibility of isolates to six selected antibiotics was assessed by the disk diffusion method. All tetracycline-resistant and nalidixic acid and ciprofloxacin resistant strains were screened for tet and qnr genes by a multiplex PCR assay. Results: According to the results of antibiotic susceptibility tests, the highest level of antibiotic resistance was related to tetracycline (80.2%) and doxycycline (78.1%), respectively. All isolates were sensitive to tigecycline. The PCR results showed that 40.6%, 3.1%, 21.8%, 61.6% and 28.7% of the isolates carried qnrA, qnrB, qnrS, tetA, and tetB genes, respectively. None of the isolates contained tetC and tetD genes. Conclusion: The current findings revealed that tetA and qnrA genes might play a key role in conferring tetracycline and quinolone resistance.

A new multi-epitope vaccine candidate based on S and M proteins is effective in inducing humoral and cellular immune responses against SARS-CoV-2 variants: an in silico design approach.

Available COVID-19 vaccines are primarily based on SARS-CoV-2 spike protein (S). Due to the emergence of new SARS-CoV-2 variants, other virus proteins with more conservancy, such as Membrane (M) protein, are desired for vaccine development. The reverse vaccinology approach was employed to design a multi-epitope SARS-CoV-2 vaccine candidate based on S and M proteins. Cytotoxic T-lymphocyte (CTL), helper T-lymphocyte (HTL), linear B-lymphocyte (LBL) and conformational B-lymphocyte (CBL) of S and M proteins were predicted and screened to choose the best epitopes. A multi-epitope vaccine candidate was constructed using selected CTL, HTL and LBL epitopes. The efficiency of the construct in binding to some immune receptors and an RBD-potent neutralizing monoclonal antibody (bebtelovimab) was predicted, and its immunogenicity was simulated. Finally, in silico cloning of the constructed gene was performed. The potency of our construct as a SARS-CoV-2 vaccine was validated using several bioinformatics tools. The simulation results showed that the construct can induce both cellular and humoral immune responses by producing appropriate cytokines, and it can even create an excellent immune memory response. Furthermore, the designed construct interacts with innate immune receptors such as TLR2 and TLR4 and the terminal variable domain of bebtelovimab with high affinity. We developed a multi-epitope construct based on the S and M proteins of the SARS-CoV-2 virus with high immunogenicity potential using the most up-to-date immunoinformatics and computational biology approaches. The actual efficiency of this multi-epitope vaccine should be further evaluated via in vitro and in vivo studies.Communicated by Ramaswamy H. Sarma.

Design peptide and multi-epitope protein vaccine candidates against monkeypox virus using reverse vaccinology approach: an in-silico study.

Monkeypox is a zoonotic virus that has recently affected different countries worldwide. On July 23, 2022, the WHO declared the outbreak of monkeypox as a public health emergency of international concern. Surveillance studies conducted in Central Africa in the 1980s and later during outbreaks in the same region showed smallpox vaccines to be clinically somewhat effective against Monkeypox virus. However, there is no specific vaccine against this virus. This research used bioinformatics techniques to establish a novel multi-epitope vaccine candidate against Monkeypox that can induce a strong immune response. Five well-known antigenic proteins (E8L, A30L, A35R, A29L, and B21R) of the virus were picked and assessed as possible immunogenic peptides. Two suitable peptide candidates were selected according to bio-informatics analysis. Based upon in silico evaluation, two multi-epitope vaccine candidates (ALALAR and ALAL) were built with rich-epitope domains consisting of high-ranking T and B-cell epitopes. After predicting and evaluating the 3D structure of the protein candidates, the most efficient 3D models were considered for docking studies with Toll-like receptor 4 (TLR4) and the HLA-A * 11:01, HLA-A*01:01, HLA-A*02:01, HLA-A*03:01, HLA-A*07:02, HLA-A*15:01, HLA-A*30:01 receptors. Subsequently, molecular dynamics (MD) simulation of up to 150 nanoseconds was employed to assess the durability of the interaction of the vaccine candidates with immune receptors. MD studies showed that M5-HLA-A*11:01, ALAL-TLR4, and ALALAR-TLR4 complexes were stable during simulation. Analysis of the in silico outcomes indicates that the M5 peptide and ALAL and ALALAR proteins may be suitable vaccine candidates against the Monkeypox virus.Communicated by Ramaswamy H. Sarma.

Computational screening of FDA-approved drugs to identify potential TgDHFR, TgPRS, and TgCDPK1 proteins inhibitors against Toxoplasma gondii.

Toxoplasma gondii (T. gondii) is one of the most successful parasites in the world, because about a third of the world's population is seropositive for toxoplasmosis. Treatment regimens for toxoplasmosis have remained unchanged for the past 20 years, and no new drugs have been introduced to the market recently. This study, performed molecular docking to identify interactions of FDA-approved drugs with essential residues in the active site of proteins of T. gondii Dihydrofolate Reductase (TgDHFR), Prolyl-tRNA Synthetase (TgPRS), and Calcium-Dependent Protein Kinase 1 (TgCDPK1). Each protein was docked with 2100 FDA-approved drugs using AutoDock Vina. Also, the Pharmit software was used to generate pharmacophore models based on the TgDHFR complexed with TRC-2533, TgPRS in complex with halofuginone, and TgCDPK1 in complex with a bumped kinase inhibitor, RM-1-132. Molecular dynamics (MD) simulation was also performed for 100 ns to verify the stability of interaction in drug-protein complexes. Molecular Mechanics Poisson-Boltzmann Surface Area (MMPBSA) analysis evaluated the binding energy of selected complexes. Ezetimibe, Raloxifene, Sulfasalazine, Triamterene, and Zafirlukast drugs against the TgDHFR protein, Cromolyn, Cefexim, and Lactulose drugs against the TgPRS protein, and Pentaprazole, Betamethasone, and Bromocriptine drugs against TgCDPK1 protein showed the best results. These drugs had the lowest energy-based docking scores and also stable interactions based on MD analyses with TgDHFR, TgPRS, and TgCDPK1 drug targets that can be introduced as possible drugs for laboratory investigations to treat T. gondii parasite infection.

Prevalence of Chlamydia trachomatis, Ureaplasma parvum and Mycoplasma genitalium in Infertile Couples and the Effect on Semen Parameters.

Background: Chlamydia trachomatis, Ureaplasma parvum, and Mycoplasma genitalium are common sexually transmitted microorganisms. Our study aimed to determine the prevalence of C. trachomatis, U. parvum, and M. genitalium in infertile and fertile couples and the effect of these microorganisms on semen parameters. Materials and Methods: In this case-control study, samples were collected from 50 infertile couples and 50 fertile couples and were subjected to the routine semen analysis and Polymerase chain reaction (PCR). Results: C. trachomatis and U. parvum were detected in 5 (10%) and 6 (12%) of semen samples from infertile men. Also, out of 50 endocervical swabs from the infertile women, C. trachomatis and M. genitalium were detected in 7(14%) and 4 (8%) of swab specimens, respectively. In the control groups, all of the semen samples and endocervical swabs were negative. Also, in the group of infertile patients infected with C. trachomatis and U. parvum, sperm motility was lower than uninfected infertile men. Conclusions: The results of this study showed that C. trachomatis, U. parvum, and M. genitalium are widespread among the infertile couples in Khuzestan Province (Southwest of Iran). Also, our results showed that these infections can decrease the quality of semen. For the prevention of the consequences of these infections, we suggest a screening program for infertile couples.

Computational screening of FDA-approved drugs to identify potential aromatase receptor inhibitors for polycystic ovary syndrome.

Polycystic ovary syndrome (PCOS) is the most common cause of infertility without ovulation. Aromatase inhibitors were first proposed as new ovulation-inducing drugs in anovulatory women with an inadequate response to clomiphene. Letrozole is an aromatase inhibitor used as an ovulation inducer in infertile women due to PCOS. However, there is no definitive treatment for women with PCOS and the treatments are mostly symptomatic. In this study, we intend to introduce alternative drugs to letrozole using the library of FDA-approved drugs and evaluate the interaction of these drugs with the aromatase receptor. For this aim, molecular docking was performed to identify interactions of FDA-approved drugs with essential residues in the active site of the aromatase receptor. 1614 FDA-approved drugs were docked with aromatase receptor using AutoDock Vina. Molecular dynamics (MD) simulation study was also performed for 100 ns to verify the stability of the drug-receptor complexes. MMPBSA analysis evaluate the binding energy of selected complexes. Finally, acetaminophen, alendronate, ascorbic acid, aspirin, glutamine, hydralazine, mesalazine and pseudoephedrine drugs showed the best results in interaction with aromatase receptor based on computational studies. These drugs can be introduced as an alternative to letrozole for treating PCOS.Communicated by Ramaswamy H. Sarma.

Characterization of SARS-CoV-2 omicron variants from Iran and evaluation of the effect of mutations on the spike, nucleocapsid, ORF8, and ORF9b proteins function.

The SARS-CoV-2 'Omicron' strain, with 15 mutations in the receptor binding domain (RBD), was detected in South Africa and rapidly spread worldwide. SARS-CoV-2 ORF9b protein by binding to the TOM70 receptor and ORF8 protein by binding to MHC-I, IF3 receptors inhibit the host's immune response. In this study, genomics variations were evaluated for 96 samples isolated from Iran from March to July 2022 using the Nextclade web server and informatics tools. We identified the mutations occurring in the SARS-CoV-2 proteins. We also evaluated the effect of mutations on spike protein interaction with the ACE2 receptor, ORF9b protein interaction with the TOM70 receptor, and structural stability of ORF8 and nucleocapsid proteins using docking and molecular dynamics. Results indicated that during March and April 2022, the BA.2 strain was dominant in the south of Iran, while during June 2022, the BA.5 strain was dominant. BF.5 strain had the most divergence among SARS-CoV-2 strains reported from south of Iran. The binding affinity of BA.5 and BF.5 strains spike protein to ACE2 receptor is similar, and compared to BA.2 strain, was stronger. The BF.5 ORF9b K40R mutation causes a better binding affinity of the protein to the TOM70 receptor. Also, mutations that occurred in the ORF8 protein led to instability in the dimer formation of this protein and improved immune response for mutations that occurred in BA.2 strain, while this mutation did not occur in BF.5 strain. The mutations that were detected in nucleocapsid protein CTD and NTD domains caused the stability of these domains.Communicated by Ramaswamy H. Sarma.

Evaluation of the dual effects of antiviral drugs on SARS-CoV-2 receptors and the ACE2 receptor using structure-based virtual screening and molecular dynamics simulation.

The use of US FDA-approved drugs is preferred due to the need for lower costs and less time. In in silico medicine, repurposing is a quick and accurate way to screen US FDA-approved medications to find a therapeutic option for COVID-19 infection. Dual inhibitors possess dual inhibitory activity, which may be due to the inhibition of two different enzymes, and are considered better than combination therapy from the developmental and clinical perspectives. In this study, a molecular docking simulation was performed to identify the interactions of antiviral drugs with the critical residues in the binding site of the main SARS-CoV-2 protease, spike glycoprotein, and papain-like protease receptors compared to the angiotensin-converting enzyme-related carboxypeptidase (ACE2) receptor of host cells. Each of the receptors was docked with 70 US FDA-approved antiviral drugs using AutoDock Vina. A molecular dynamics (MD) simulation study was also used for 100 ns to confirm the stability behaviour of the ligand receptor complexes. Among the drugs that had the strongest interaction with the SARS-CoV-2 main protease, spike glycoprotein and papain-like protease receptors, and host cell ACE2 receptors, Simeprevir, Maraviroc and Saquinavir had dual inhibitory effects. The MD simulation study confirmed the stability of the strongest interactions between the antiviral drugs and the main protease, ACE2, spike glycoprotein, and papain-like protease receptors to 100 ns. However the results of MMPBSA analysis showed that the bond between Saquinavir and the ACE2 receptor was weak. Simeprevir and Maraviroc drugs had acceptable binding energies with dual receptors, especially the Simeprevir.Communicated by Ramaswamy H. Sarma.

Characterization of SARS-CoV-2 isolated from a patient in Iran compared to SARS-CoV-2 different variants.

Since the onset of the global epidemic of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), whole genome sequencing of virus in all countries has been considered to track and predict virus transmission and variation patterns. In the current study we reported a novel complete genome sequence of SARS-CoV-2 isolated from Iran. Genomics variations and protein sequences were evaluated for the isolated sequence and seven Iranian complete genome sequences of SARS-CoV-2 from NCBI using the reference genome of the SARS-CoV-2 Wuhan-Hu-1. The results showed six nucleotide substitutions. The multiple sequence alignment of the spike protein of the Wuhan-Hu-1 strain and the emerging variants indicated similar its residue pattern in the current sequence to the Wuhan-Hu-1 strain. There were relatively similar binding affinity and residues involved in the interactions of the spike receptor-binding domain (RBD) of the Wuhan-Hu-1 strain, the variants and Hormozgan With angiotensin-converting enzyme 2 (ACE2). Tracing the phylogeny of virus indicated distinct clustering of Iranian variants in branches close to the Asian countries. The mutation effect study on the function of proteins predicted neutral impact of all six nucleotide substitutions. However, the free energy calculations indicated a decreasing the protein stability related to the mutations. This data, consistent with similar studies, showed that despite the high similarity in the nucleotide sequence of the SARS-CoV-2, the mutation pattern varies from country to country. Therefore, any country can benefit from these studies to track and find appropriate strategies for treating and controlling the epidemic.Communicated by Ramaswamy H. Sarma.

Repurposing antiviral drugs against HTLV-1 protease by molecular docking and molecular dynamics simulation.

Human T-cell leukemia virus type I (HTLV-1) belongs to the delta retrovirus family and the etiological agent of adult T-cell leukemia (ATL(. While the current HTLV-1 therapy, relies on using Zidovudine plus IFN-γ, there is no FDA approved drugs against it. In silico drug repurposing is a fast and accurate way for screening US-FDA approved drugs to find a therapeutic option for the HTLV-1 infection. So that, this research aims to analyze a dataset of approved antiviral drugs as a potential prospect for an anti-viral drug against HTLV-1 infection. Molecular docking simulation was performed to identify interactions of the antiviral drugs with the key residues in the HTLV-1 protease binding site. Then, molecular dynamics simulation was also performed for the potential protein-ligand complexes to confirm the stable behavior of the ligands inside the binding pocket. The best docking scores with the target was found to be Simeprevir, Atazanavir, and Saquinavir compounds which indicate that these drugs can firmly bind to the HTLV-1 protease. The MD simulation confirmed the stability of Simeprevir-protease, Atazanavir-Protease, and Saquinavir-Protease interactions. Clearly, these compounds should be further evaluated in experimental assays and clinical trials to confirm their actual activity against HTLV-1 infection.Communicated by Ramaswamy H. Sarma.

Designing a humanized immunotoxin based on DELTA-stichotoxin-Hmg2a toxin: an in silico study.

Breast cancer remains the most frequently diagnosed cancer and the principal cause of mortality by malignancy in women. HER2 positive subtype includes 15-20% of breast cancer cases. This receptor could be an appropriate mark for targeting breast cancer cells. Immunotherapy methods compared to current cancer treatment methods have the lowest side effects. DELTA-stichotoxin-Hmg2a is isolated from the sea anemone and kills cells through pore formation. In the current study, we designed and evaluated an immunotoxin composed of pertuzumab and DELTA-stichotoxin-Hmg2a-derived scFv by bioinformatics tools. The designed immunotoxin was constructed using the amino acid sequences. Then, secondary structure and physico-chemical features were studied, and the tertiary structure of the immunotoxin was built according to the homology modeling methods. The validation and allergenicity of the model were assessed. The immunotoxin and receptor were docked and molecular dynamics simulation indicated the construct stability. The analysis results indicated that the construct is a stable protein that could have a natural-like structure and would not be an allergen, so this immunotoxin could effectively target HER2 receptors. Therefore, our designed immunotoxin could be an appropriate immunotoxin against HER2-positive breast cancer and could be a challenging topic for future in vitro and in vivo studies.

Preparation and pre-clinical evaluation of flagellin-adjuvanted NOM vaccine candidate formulated with Spike protein against SARS-CoV-2 in mouse model.

From December 2019, the outbreak of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was started as a cluster of pneumonia cases in Wuhan, Hubei Province, China. The disturbing statistics of SARS-CoV-2 promoted scientists to develop an effective vaccine against this infection. NOM protein is a multi-epitope protein that designed based on Nucleocapsid, ORF3a, and Membrane proteins of SARS-CoV-2. Flagellin is a structural protein that binds to the Toll-like receptor 5 and can enhance the immune response to a particular antigen. In this study, NOM protein as vaccine candidate was linked to the carboxyl and amino terminals of flagellin adjuvant derived from Salmonella enterica subsp. enterica serovar Dublin. Then, informatics evaluations were performed for both NOM protein and NOM protein linked to flagellin (FNOM). The interaction between the NOM and FNOM proteins with the TLR5 were assessed using docking analysis. The FNOM protein, which compared to the NOM protein, had a more suitable 3D structure and a stronger interaction with TLR5, was selected for experimental study. The FNOM and Spike (S) proteins expressed and then purified by Ni-NTA column as vaccine candidates. For analysis of immune response, anti-FNOM and anti-S proteins total IgG and IFN-γ, TNF-α, IL-6, IL-10, IL-22 and IL-17 cytokines were evaluated after vaccination of mice with vaccine candidates. The results indicated that the specific antisera (Total IgG) raised in mice that received FNOM protein formulated with S protein were higher than mice that received FNOM and S proteins alone. Also, IFN-γ and TNF-α levels after the spleen cells stimulation were significantly increased in mice that received the FNOM protein formulated with S protein compared to other groups. Immunogenic evaluations showed that, the FNOM chimeric protein could simultaneously elicit humoral and cell-mediated immune responses. Finally, it could be concluded that the FNOM protein formulated with S protein could be considered as potential vaccine candidate for protection against SARS-CoV-2 in the near future.

Inducing Dzyaloshinskii-Moriya interaction in symmetrical multilayers using post annealing.

The interfacial Dzyaloshinskii-Moriya Interaction (iDMI) is an antisymmetric exchange interaction that is induced by the broken inversion symmetry at the interface of, e.g., a ferromagnet/heavy metal. Thus, the presence of iDMI is not expected in symmetrical multilayer stacks of such structures. Here, we use thermal annealing to induce the iDMI in a [Py/Pt]×10 symmetrical multilayer stack. Brillouin light scattering spectroscopy is used to directly evidence the iDMI induction in the annealed sample. Structural characterizations highlight the modified crystallinity as well as a higher surface roughness of the sample after annealing. First principles electronic structure calculations demonstrate a monotonic increase of the iDMI with the interfacial disorder due to the interdiffusion of atoms, depicting the possible origin of the induced iDMI. The presented method can be used to tune the iDMI strength in symmetric multilayers, which are the integral part of racetrack memories, magnonic devices as well as spin-orbitronic elements.

Investigation of plasmid-mediated quinolone resistance genes among clinical isolates of Klebsiella pneumoniae in southwest Iran.

BACKGROUND: Extensive and inappropriate use of quinolones has led to growing resistance rates to these broad-spectrum antibiotics. The present study purposed to investigate the prevalence of plasmid-mediated quinolone resistance (PMQR) genes in Klebsiella pneumoniae clinical isolates. METHOD: Ninety-two non-repetitive K. pneumoniae clinical isolates were confirmed by standard microbiological methods. Antibacterial susceptibility of isolates toward seven agents from the quinolone family was evaluated by the disc diffusion method. Ciprofloxacin minimum inhibitory concentrations (MICs) were determined using the standard agar dilution method. PCR amplification was used to detect the existence of PMQR genes in the studied isolates. RESULTS: In the present study, significant quinolones' resistance (40%) was observed in K. pneumoniae isolates, and most of the strains were resistant to nalidixic acid (94.6%) and ofloxacin (45.6%). MIC analysis showed 15 strains were resistant to 6-128 µg/ml of ciprofloxacin, and five were intermediately-resistant. PMQR genes were detected in 88% of all isolates. Acc(6')-Ib-cr was constituted half of the total PMQR genes detected among ciprofloxacin non-susceptible isolates. Of 20 ciprofloxacin non-susceptible isolates, 65% (n = 13) harbored multiple PMQR determinants, and 15 strains were determined as integron carriage. CONCLUSION: The findings of this study indicated considerable resistance against quinolones, which could be correlated with the extensive and inappropriate use of this class of antibiotics as empirical treatment.

The prevalence of plasmid-mediated quinolone resistance genes among Escherichia coli strains isolated from urinary tract infections in southwest Iran.

BACKGROUND: The extensive and inappropriate use of quinolones, which are frequently used as an effective treatment for urinary tract infection (UTI) patients, has led to resistance to these antibiotics. This study was designed to determine the prevalence of quinolones resistance and the presence of plasmid-mediated quinolone resistance (PMQR) genes among extended-spectrum beta-lactamase (ESBL)-producing Escherichia coli isolates. METHODS: One hundred and fourteen E. coli isolates were collected from patients' urine samples. The susceptibility of isolates to selected antibiotics was tested by the Kirby-Bauer disk diffusion method. ESBL-producing isolates were identified phenotypically using a combination disk test. Using specific primers, the frequency of aac (6')-Ib, qnrA, qnrB, qnrC, qnrD, qnrS, and qepA genes was investigated by polymerase chain reaction (PCR). RESULTS: Among 26 ESBL-producing isolates, the highest resistance rate was observed toward nalidixic acid (80.8%) and ciprofloxacin (61.5%), respectively. Ninety-seven (85%) of all isolates harbored at least one PMQR gene, the most frequent one being aac(6')-Ib-cr variant (47.4%). Coexistence of aac(6')-Ib-cr variant and qnrB were the most broadly distributed genotype among quinolone resistance isolates. Notably, none of the isolates contained the qnrC, qnrD, and qepA genes. CONCLUSIONS: Our results highlight the significant prevalence of PMQR genes in ESBL-producing E. coli isolates in this region. Also, the aac (6')-Ib-cr variant was the most frequent gene, particularly in ESBL positive isolates. A regular periodic monitoring program is needed to control and hinder the more spread of antibiotic resistance phenomenon and contributed genes among UTI-causing E. coli isolates.

The Candidate Antigens to Achieving an Effective Vaccine against Staphylococcus aureus.

Staphylococcus aureus (S. aureus) is an opportunistic pathogen that causes various inflammatory local infections, from those of the skin to postinfectious glomerulonephritis. These infections could result in serious threats, putting the life of the patient in danger. Antibiotic-resistant S. aureus could lead to dramatic increases in human mortality. Antibiotic resistance would explicate the failure of current antibiotic therapies. So, it is obvious that an effective vaccine against S. aureus infections would significantly reduce costs related to care in hospitals. Bacterial vaccines have important impacts on morbidity and mortality caused by several common pathogens, however, a prophylactic vaccine against staphylococci has not yet been produced. During the last decades, the efforts to develop an S. aureus vaccine have faced two major failures in clinical trials. New strategies for vaccine development against S. aureus has supported the use of multiple antigens, the inclusion of adjuvants, and the focus on various virulence mechanisms. We aimed to present a compressive review of different antigens of S. aureus and also to introduce vaccine candidates undergoing clinical trials, from which can help us to choose a suitable and effective candidate for vaccine development against S. aureus.