An oral toxicity assessment of a mosquito larvicidal transgenic algae (Chlamydomonas reinhardtii) using adult Zebrafish and its embryos.

Mosquito-borne diseases pose a global health threat, with pathogens like Malaria, Dengue fever, and others transmitted by mosquitoes. Our study focuses on evaluating the toxicity of genetically engineered mosquito larvicidal algae (Chlamydomonas reinhardtii) to non-target organisms, specifically Zebrafish. We conducted a 90-day experiment, feeding Zebrafish different combinations of larvicidal algae and commercial fish feed. Statistical analysis revealed no significant differences in mortality, allergenicity, or moribundity among groups. Hematology, molecular analysis, and necropsy showed no physiological differences. Our findings indicate that the transgenic algae (TN72.cry11Ba) had no adverse effects on adult Zebrafish or their larvae. This study confirmed the safety of algae on non-target organisms, such as zebrafish.

Studying infant mortality: A demographic analysis based on data mining models.

Child mortality, particularly among infants below 5 years, is a significant community well-being concern worldwide. The health sector's top priority in emerging states is to minimize children's death and enhance infant health. Despite a substantial decrease in worldwide deaths of children below 5 years, it remains a significant community well-being concern. Children under five years of age died at 37 per 1,000 live birth globally in 2020. However, in underdeveloped countries such as Pakistan and Ethiopia, the fatality rate of children per 1,000 live birth is 65.2 and 48.7, respectively, making it challenging to reduce. Predictive analytics approaches have become well-known for predicting future trends based on previous data and extracting meaningful patterns and connections between parameters in the healthcare industry. As a result, the objective of this study was to use data mining techniques to categorize and highlight the important causes of infant death. Datasets from the Pakistan Demographic Health Survey and the Ethiopian Demographic Health Survey revealed key characteristics in terms of factors that influence child mortality. A total of 12,654 and 12,869 records from both datasets were examined using the Bayesian network, tree (J-48), rule induction (PART), random forest, and multi-level perceptron techniques. On both datasets, various techniques were evaluated with the aforementioned classifiers. The best average accuracy of 97.8% was achieved by the best model, which forecasts the frequency of child deaths. This model can therefore estimate the mortality rates of children under five years in Ethiopia and Pakistan. Therefore, an online model to forecast child death based on our research is urgently needed and will be a useful intervention in healthcare.

Development of transgenic algae strain expressing CTB-M2e fusion gene an approach towards the development of a universal edible vaccine in algae.

Avian Influenza, the most studied virus, is of high concern due to its zoonotic pandemic potential. In recent years, several influenza vaccines have been used with the broad goal of managing and in certain cases, eliminating the disease. The matrix 2 extracellular domain (M2e), is one of the key targets of the universal influenza vaccine, a liner peptide that is conserved throughout all influenza A subtypes virus. Many recombinant influenza proteins have been expressed in yeast and plants for vaccine development. A remarkable development has been made in the field of biotechnology to explore the potential of microalga as an expression host. In this study, we designed a fusion gene code for M2e peptide and CTB protein as M2e's natural form has a low level of immunogenicity. The fusion gene was cloned in the Chloroplast transformation vector pSRSapI and expressed in the TN72 mutant strain of Chlamydomonas reinhardii. The expression of the targeted protein was confirmed by ECL western blot analysis. A GM1-ELISA was carried out to detect the affinity of fusion protein for GM1 monosialoganglioside and the significant P-value is lower than 0.05. Immunogenicity assay on chicken detected the anti-M2e bodies in chicken serum. This study gives evidence of therapeutic protein production through algae chloroplast and a stable, selection free and low cost oral delivery for universal vaccine against influenza A virus.

Predictive analytics in smart healthcare for child mortality prediction using a machine learning approach.

In developing countries, child health and restraining under-five child mortality are one of the fundamental concerns. UNICEF adopted sustainable development goal 3 (SDG3) to reduce the under-five child mortality rate globally to 25 deaths per 1,000 live births. The under-five mortality rate is 69 deaths per 1,000 live child-births in Pakistan as reported by the Demographic and Health Survey (2018). Predictive analytics has the power to transform the healthcare industry, personalizing care for every individual. Pakistan Demographic Health Survey (2017-2018), the publicly available dataset, is used in this study and multiple imputation methods are adopted for the treatment of missing values. The information gain, a feature selection method, ranked the information-rich features and examine their impact on child mortality prediction. The synthetic minority over-sampling method (SMOTE) balanced the training dataset, and four supervised machine learning classifiers have been used, namely the decision tree classifier, random forest classifier, naive Bayes classifier, and extreme gradient boosting classifier. For comparative analysis, accuracy, precision, recall, and F1-score have been used. Eventually, a predictive analytics framework is built that predicts whether the child is alive or dead. The number under-five children in a household, preceding birth interval, family members, mother age, age of mother at first birth, antenatal care visits, breastfeeding, child size at birth, and place of delivery were found to be critical risk factors for child mortality. The random forest classifier performed efficiently and predicted under-five child mortality with accuracy (93.8%), precision (0.964), recall (0.971), and F1-score (0.967). The findings could greatly assist child health intervention programs in decision-making.

Platelet-Neutrophil Association in NETs-Rich Areas in the Retrieved AIS Patient Thrombi.

Histological structure of thrombi is a strong determinant of the outcome of vascular recanalization therapy, the only treatment option for acute ischemic stroke (AIS) patients. A total of 21 AIS patients from this study after undergoing non-enhanced CT scan and multimodal MRI were treated with mechanical stent-based and manual aspiration thrombectomy, and thromboembolic retrieved from a cerebral artery. Complementary histopathological and imaging analyses were performed to understand their composition with a specific focus on fibrin, von Willebrand factor, and neutrophil extracellular traps (NETs). Though distinct RBC-rich and platelet-rich areas were found, AIS patient thrombi were overwhelmingly platelet-rich, with 90% of thrombi containing <40% total RBC-rich contents (1.5 to 37%). Structurally, RBC-rich areas were simple, consisting of tightly packed RBCs in thin fibrin meshwork with sparsely populated nucleated cells and lacked any substantial von Willebrand factor (VWF). Platelet-rich areas were structurally more complex with thick fibrin meshwork associated with VWF. Plenty of leukocytes populated the platelet-rich areas, particularly in the periphery and border areas between platelet-rich and RBC-rich areas. Platelet-rich areas showed abundant activated neutrophils (myeloperoxidase+ and neutrophil-elastase+) containing citrullinated histone-decorated DNA. Citrullinated histone-decorated DNA also accumulated extracellularly, pointing to NETosis by the activated neutrophils. Notably, NETs-containing areas showed strong reactivity to VWF, platelets, and high-mobility group box 1 (HMGB1), signifying a close interplay between these components.

Phylogenetic analysis and antimicrobial susceptibility profile of uropathogens.

The uropathogens is the main cause of urinary tract infection (UTI). The aim of the study was to isolate bacteria from urine samples of UTI patients and find out the susceptibility of isolated bacteria. Bacteria were identified using both conventional and molecular methods. Sanger sequence procedure used for 16S ribosomal RNA and phylogenetic analysis was performed using Molecular Evolutionary Genetics Analysis (MEGA-7) software. In this study, Escherichia coli, Klebsiella pneumonia, Staphylococcus were reported as 58, 28 and 14.0% respectively. Phylogenetic tree revealed that 99% of sample No. Ai (05) is closely related to E. coli to (NR 114042.1 E. coli strain NBRC 102203). Aii (23) is 99% similar to K. pneumoniae to (NR 117686.1 K. pneumonia strain DSM 30104) and 90% Bi (48) is closely linked to S. aureus to (NR 113956.1 S. aureus strain NBRC 100910). The antibiotic susceptibility of E. coli recorded highest resistance towards ampicillin (90%) and least resistant to ofloxacin (14%). Some of the other antibiotics such amoxicillin, ciprofloxacin, gentamicin, ceftazidime, cefuroxime and nitrofurantoin resistance were observed 86, 62, 24, 55, 48 and 35% respectively. The cefuroxime showed the highest antibiotic resistance against K. pneumoniae with 85% followed by amoxicillin, ciprofloxacin, gentamicin, ceftazidime, ampicillin and nitrofurantoin resulted in 60, 45, 67, 70, 75 and 30% respectively. The resistance of S. aureus against erythromycin, cefuroxime and ampicillin were found with 72%. The resistance against amoxicillin, gentamicin, ceftazidime and ceftriaxone found 57, 43, 43 and 15% respectively. Phylogenetic analysis shows that sequences are closely related with the reference sequences and E. coli is the dominant bacteria among UTI patients and is resistant to the commercially available antibiotics.

Balancing science and public policy in Pakistan’s COVID-19 response

Background: Coronavirus disease 2019 (COVID-19) has affected the world in an unprecedented manner and South Asian countries were among the first to experience imported cases. Pakistan’s response to COVID-19 has been under scrutiny for its granularity, reach and impact. Aims: to evaluate objectively the chronology and depth of the response to COVID-19 in Pakistan. Methods: We evaluated available national and subnational epidemiological and burden information on COVID-19 cases and deaths in Pakistan, including projection models available to the Government at an early stage of the pandemic. Results: Pakistan, with a population of 215 million and considerable geographic diversity, experienced case introduction from pilgrims returning from the Islamic Republic of Iran, followed by widespread community transmission. The National Command and Operations Centre, established through civilian and military partnership, was critical in fast tracking logistics, information gathering, real-time reporting and smart lockdowns, coupled with a massive cash support programme targeting the poorest sections of society. Cases peaked in June 2020 but the health system was able to cope with the excess workload. Since then, although testing rates remain low (> 300 000 cases confirmed to date), case fatality rates have stabilized, and with 6300 deaths, Pakistan seems to have flattened the COVID-19 curve. Conclusion: Despite notable successes in controlling the pandemic, several weaknesses remain and there are risks of rebound as the economy and educational systems reopen. There is continued need for strong technical and programmatic oversight, linked to civic society engagement and working with religious scholars to ensure nonpharmacological intervention compliance.

Molecular Characterization of Pneumococcal Surface Protein A (PspA), Serotype Distribution and Antibiotic Susceptibility of Streptococcus pneumoniae Strains Isolated from Pakistan.

INTRODUCTION: Pakistan has one of the highest burdens of pneumococcal diseases in the world, but unfortunately studies in this demanding research area are limited in the region. Pneumococcal surface protein A (PspA) is the next generation pneumococcal vaccine candidate as the protein locates on the Streptococcus pneumoniae surface. Its gene, pspA, might be encoded by all pneumococci, and the protein has proven immunogenicity. The molecular characterization of PspA, pneumococcal serotype distribution and antibiotic susceptibility are important for regional diversity studies. METHODS: In this study, we examined 38 pneumococcal isolates from pneumococcal diseased (pneumonia/meningitis) patients blood or cerebrospinal fluid. There were no specific inclusion or exclusion criteria, but all the individuals [ages 1 month to 12 years (male/female)] had undergone no antibiotic treatment in at least the past 3 months and had no vaccination history. We investigated the serotype distribution, antibiotic susceptibility, prevalence of the PspA family and its active domain's fusion, expression and antigenicity. RESULTS: Our finding shows that serotype 19F is the most prevalent (23.6%) followed by 18B (15.78%) (non-vaccine type) in all isolated pneumococcal strains. All strains were susceptible to chloramphenicol and linezolid, while 80% were resistant to gentamycin. Genotyping revealed that ~ 80% (N = 31/38) of pneumococcal strains produce PspA belonging to family 2 and clade 3. We further selected three active domains of PspA (family 2 and clade 3) by in silico analysis, merged together into a fusion gene for expression study, and its antigenicity was analyzed by Western blotting. CONCLUSION: Serotypes 19F and 18B (non-vaccine type) are the most prevalent in the Pakistani pneumococcal isolates. The PspA family 2 proteins produced by Pakistani pneumococcal isolates have high sequence homologies with each other and differ from those produced by strains isolated in the rest of the world. The PspA fusion peptide had a proven antigenic response in western blotting, with no considerable correlation among pneumococcal serotypes, antibiotic susceptibility and PspA family/clade distribution.

Correction to: Molecular Characterization of Pneumococcal Surface Protein A (PspA), Serotype Distribution and Antibiotic Susceptibility of Streptococcus pneumoniae Strains Isolated from Pakistan.

In the original publication, one of the author names was missed in the author group.

Bioactivity studies of Huh-7 cells derived human epidermal growth factor expressed in Pichia pastoris.

Previously, we have reported cloning of human epidermal growth factor gene from Huh-7 cells and its extracellular expression in Pichia pastoris. The presented work is a detailed report regarding molecular characterization of Huh-7 cells-derived hEGF expressed in Pichia pastoris with special reference to its glycosylation profiling and bioactivity studies. Densitometric scanning of SDS-PAGE separated extracellular proteins from hEGF recombinant Pichia pastoris strain indicated that about 84% of the extracellular proteins were glycosylated. Size exclusion chromatography using Superdex 75 prep grade column was successfully utilized to separate fractions containing glycosylated and non-glycosylated extracellular proteins. In dot blot assay, hEGF was detected in both glycosylated and non-glycosylated fractions. Bioactivity assays revealed that both glycosylated and non-glycosylated fractions were bioactive as determined by cell viability assay. It was also observed that hEGF present in non-glycosylated fraction was relatively more bioactive than hEGF present in glycosylated fraction.

Simple procedure applying lactose induction and one-step purification for high-yield production of rhCIFN.

Recombinant consensus interferon (CIFN) is a therapeutic protein with molecular weight of 19.5 kDa having broad spectrum antiviral activity. Recombinant human CIFN (rhCIFN) has previously been expressed in Escherichia coli using isopropyl-ß-d-thiogalactopyranoside (IPTG), a non-metabolizable and expensive compound, as inducer. For economical and commercial-scale recombinant protein production, it is greatly needed to increase the product yield in a limited time frame to reduce the processing cost. To reduce the cost of production of rhCIFN in E. coli, induction was accomplished by using lactose instead of IPTG. Lactose induction (14 g/L) in shake flask experiment resulted in higher yield as compared with 1 mM IPTG. Finally, with single-step purification on DEAE sepharose, 150 mg/L of >98% pure rhCIFN was achieved. In the present study, an attempt was made to develop a low cost process for producing quality product with high purity. Methods devised may be helpful for pilot-scale production of recombinant proteins at low cost.

Optimization of conditions for high-level expression and purification of human recombinant consensus interferon (rh-cIFN) and its characterization.

Recombinant human consensus interferon (rh-cIFN) is an artificially engineered interferon (IFN) developed by recombining and reordering the protein sequences that exist in standard IFN. This recombination resulted into a drug that has the potential to work better than natural, standard IFN. In this study, we described optimized conditions for high-level expression and recovery of biologically active consensus IFN from inclusion bodies (IBs). A synthetic gene coding 166 amino acids of consensus IFN was cloned under the T7 promoter. Escherichia coli strain BL21DE3Plys was used to transform expression construct. For high-level expression, shake-flask fermentation conditions were standardized. For isolation of IBs, the sonication method was optimized. A variety of chaotropic agents including guanidine hydrochloride, urea, SDS, and detergents were studied for solubilization of IBs. For renaturation of solubilized denatured protein by the dilution process, parameters of dilution factor, temperature, and l-arginine were optimized. A one-step chromatography method was developed for high-yield purification of consensus IFN. rh-cIFN was characterized by SDS-PAGE, Western blot, and high-performance liquid chromatography. Purified protein has a molecular weight of 19.5 kDa and specific activity was 2.0 × 10(8) as determined by the cytopathic inhibition assay. This study concludes that by using optimized conditions, we obtained a yield of 100 mg/L of biologically active rh-cIFN, which is highest ever reported according to available data.

Matrix-assisted refolding and purification of placenta-derived recombinant human interleukin-6 produced in Escherichia coli.

Biological activity of human interleukin-6 (IL-6) is associated with a vast number of diseases such as rheumatoid arthritis, sepsis, and severe inflammatory diseases. In this study, human IL-6 cDNA was isolated from a cDNA library that was constructed with mRNA derived from human placental tissues. Subsequently, the complete human IL-6 cDNA was cloned and expressed in BL21DE3 cells. The recombinant human IL-6 (rhIL-6) protein was expressed in a form of an insoluble inclusion body. Inclusion bodies were solubilized under denaturing conditions and purified by immobilized metal affinity chromatography with gradual on-column refolding by the gradient elution method (from 6 to 0 M urea). The protein was purified to apparent homogeneity of about 99% with a yield of 50 mg/L. The purity was assessed by sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS-PAGE), size exclusion high-performance liquid chromatography, and Western blotting analysis. The bioactivity was assessed by proliferation assay of TF-1 cells in a dose-dependent manner. The present study confirms the expression of the placenta-derived IL-6 gene in a prokaryotic expression system and matrix-assisted on-column refolding and purification of rhIL-6 by immobilized metal affinity chromatography.

Expression line approach to recombinant human epidermal growth factor into the yeast, Pichia pastoris from Huh-7 cell line.

Beta-urogastrone also known as human epidermal growth factor is a key member of epidermal growth factor family having role in cell proliferation and differentiation in vivo as well as in vitro. Human epidermal growth factor gene has been isolated from different tissues but the method of isolation is technically difficult and complicated as it deals with biopsies. Here we isolated mature partial human epidermal growth factor gene from Huh-7 cell line, amplified and abridged toward mature coding region with three steps PCR, sequenced for homology with wild type human epidermal growth factor gene, inbuilt with sites of interest and cloned in Pichia pastoris for expression study. Isolated mature human epidermal growth factor gene from Huh-7 cell line showed 100 % sequence homology to wild type human epidermal growth factor gene and gives the native expression for human epidermal growth factor peptide. In this study we report that Huh-7 cell line is an easy source for the particular gene of human epidermal growth factor isolation and we are also suggesting P. pastoris is an expression system to produce recombinant human epidermal growth factor of the therapeutic importance resembling to the natural human system.

Studies to analyse the relationship between IFNα2b gene dosage and its expression, using a Pichia pastoris-based expression system.

Human interferon α2b (hIFNα2b) is the most important member of the interferon family. Escherichia coli, yeasts, mammalian cell cultures and baculovirus-infected insect cells have been used for expressing recombinant human interferon. Recently a Pichia pastoris-based expression system has emerged as an attractive system for producing functional human recombinant IFNα2b. In this regard, gene dosage is considered an important factor in obtaining the optimum expression of recombinant protein, which may vary from one protein to another. In the present study we have shown the effect of IFNα2b gene dosage on extracellular expression of IFNα2b recombinant protein from P. pastoris. Constructs containing from one to five repeats of IFNα2b-expressing cassettes were created via an in vitro multimerization approach. P. pastoris host strain X-33 was transformed using these expression cassettes. Groups of P. pastoris clones transformed with different copies of the IFNα2b expression cassette were screened for intrachromosomal integration. The IFNα2b expression level of stable transformants was checked. The copy number of integrated IFNα2b was determined by performing qPCR of genomic DNA of recombinant P. patoris clones. It was observed that an increase in copy number generally had a positive effect on the expression level of IFNα2b protein. Regarding the performance of multicopy strains, those obtained from transformation of multicopy vectors showed relatively high expression, compared to those generated using transformation vector having only one copy of IFNα2b. It was also observed that an increase in drug resistance of a clone did not guarantee its high expression, as integration of a marker gene did not always correlate with integration of the gene of interest.

Associations between the Plasticity Region Genes of Helicobacter pylori and Gastroduodenal Diseases in a High-Prevalence Area

BACKGROUND/AIMS: Genes associated with the Helicobacter pylori (H. pylori) plasticity region may play a role in the pathogenesis of H. pylori. We compared the genes jhp0940, jhp0947, and jhp0986 in H. pylori isolates from patients with different gastroduodenal diseases and in different age groups. METHODS: The H. pylori hyperplasticity region genes jhp0940, jhp0947, and jhp0986 were studied by PCR. We also evaluated whether these genes were related to the cytotoxin-associated gene (cagA) and histology findings. RESULTS: Of the patient cohort, 71 (62%) were positive for jhp0940, 67 (59%) for jhp0947, 12 (10%) for jhp0986, and 69 (60%) for cagA. jhp0940 (n=18, 67%) and jhp0947 (n=23, 85%) were found more frequently in duodenal ulcer (DU) patients than in gastritis patients (n=14, 39%; p=0.029 and p<0.001, respectively). Gastric ulcer (GU) was more frequently associated with jhp0940 (17 patients, 77%; p=0.003) than with gastritis (14 patients, 39%). Gastric carcinoma (GC) was more strongly associated with both jhp0940 (22 patients, 76%; p=0.003) and jhp0947 (22 patients, 76%; p=0.003) than was gastritis (14 patients, 39%). jhp0947 was more frequently associated with chronic active inflammation (58 patients, 87%; p=0.009) than with chronic inflammation (9 patients, 13%). Multivariate analysis demonstrated that jhp0947 was associated with DU (odds ratio, 6.1; 95% confidence interval, 1.87-20). CONCLUSIONS: The genes jhp0947 and jhp0940 were identified in H. pylori isolates from patients with GC and DU, while jhp0940 was also isolated from patients with GU. jhp0947 was independently associated with DU.

Antibacterial activity of synthesized 2,4,5-trisubstituted imidazole derivatives.

Some novel chemically synthesized 2,4,5-trisubstituted imidazoles from aryl aldehydes and 1,2-diketones or alpha-hydroxyketone were screened against eight different human pathogenic bacteria and fungi. Seven compounds were found to be active against different bacteria. These compounds showed variation in activity and were found to be active against Gram-positive as well as Gram-negative bacteria. Compound 4-(4,5-diphenyl-1H-imidazol-2-yl)-phenol, 3d was the only compound which showed activity against Klebsiella pneumoniae while rest of the compounds did not show significant activity against this micro-organism. Minimum inhibitory concentrations of the compounds were in the range of 0.50 to 6.1 microg/mL and minimum bactericidal concentration ranges from 1.11 to 12.9 microg/mL. The candidature of active compounds to be an effective and novel drug was examined based on Lipinski's rule of Five which explained ClogP, LogS, H-bond acceptors, H-Bond donors and rotational bonds. Compounds 3a-d and 3f satisfies Lipinski's rule of Five and could be proposed as potent new antibacterial drugs.