Antibiotic resistance: a global crisis, problems and solutions.

Healthy state is priority in today's world which can be achieved using effective medicines. But due to overuse and misuse of antibiotics, a menace of resistance has increased in pathogenic microbes. World Health Organization (WHO) has announced ESKAPE pathogens (Enterococcus faecium, Staphylococcus aureus, Klebsiella pneumoniae, Acinetobacter baumannii, Pseudomonas aeruginosa, and Enterobacter spp.) as the top priority pathogens as these have developed resistance against certain antibiotics. To combat such a global issue, it is utmost important to identify novel therapeutic strategies/agents as an alternate to such antibiotics. To name certain antibiotic adjuvants including: inhibitors of beta-lactamase, efflux pumps and permeabilizers for outer membrane can potentially solve the antibiotic resistance problems. In this regard, inhibitors of lytic domain of lytic transglycosylases provide a novel way to not only act as an alternate to antibiotics but also capable of restoring the efficiency of previously resistant antibiotics. Further, use of bacteriophages is another promising strategy to deal with antibiotic resistant pathogens. Taking in consideration the alternatives of antibiotics, a green synthesis nanoparticle-based therapy exemplifies a good option to combat microbial resistance. As horizontal gene transfer (HGT) in bacteria facilitates the evolution of new resistance strains, therefore identifying the mechanism of resistance and development of inhibitors against it can be a novel approach to combat such problems. In our perspective, host-directed therapy (HDT) represents another promising strategy in combating antimicrobial resistance (AMR). This approach involves targeting specific factors within host cells that pathogens rely on for their survival, either through replication or persistence. As many new drugs are under clinical trials it is advisable that more clinical data and antimicrobial stewardship programs should be conducted to fully assess the clinical efficacy and safety of new therapeutic agents.

Intelligent prediction modeling for flexural capacity of FRP-strengthened reinforced concrete beams using machine learning algorithms.

Fiber-reinforced polymers (FRP) are widely utilized to improve the efficiency and durability of concrete structures, either through external bonding or internal reinforcement. However, the response of FRP-strengthened reinforced concrete (RC) members, both in field applications and experimental settings, often deviates from the estimation based on existing code provisions. This discrepancy can be attributed to the limitations of code provisions in fully capturing the nature of FRP-strengthened RC members. Accordingly, machine learning methods, including gene expression programming (GEP) and multi-expression programming (MEP), were utilized in this study to predict the flexural capacity of the FRP-strengthened RC beam. To develop data-driven estimation models, an extensive collection of experimental data on FRP-strengthened RC beams was compiled from the experimental studies. For the assessment of the accuracy of developed models, various statistical indicators were utilized. The machine learning (ML) based models were compared with empirical and conventional linear regression models to substantiate their superiority, providing evidence of enhanced performance. The GEP model demonstrated outstanding predictive performance with a correlation coefficient (R) of 0.98 for both the training and validation phases, accompanied by minimal mean absolute errors (MAE) of 4.08 and 5.39, respectively. In contrast, the MEP model achieved a slightly lower accuracy, with an R of 0.96 in both the training and validation phases. Moreover, the ML-based models exhibited notably superior performances compared to the empirical models. Hence, the ML-based models presented in this study demonstrated promising prospects for practical implementation in engineering applications. Moreover, the SHapley Additive exPlanation (SHAP) method was used to interpret the feature's importance and influence on the flexural capacity. It was observed that beam width, section effective depth, and the tensile longitudinal bars reinforcement ratio significantly contribute to the prediction of the flexural capacity of the FRP-strengthened reinforced concrete beam.

Cellular signaling in the hypoxic cancer microenvironment: Implications for drug resistance and therapeutic targeting.

The rewiring of cellular metabolism is a defining characteristic of cancer, as tumor cells adapt to acquire essential nutrients from a nutrient-poor environment to sustain their viability and biomass. While hypoxia has been identified as a major factor depriving cancer cells of nutrients, recent studies have revealed that cancer cells distant from supporting blood vessels also face nutrient limitations. To overcome this challenge, hypoxic cancer cells, which heavily rely on glucose as an energy source, employ alternative pathways such as glycogen metabolism and reductive carboxylation of glutamine to meet their energy requirements for survival. Our preliminary studies, alongside others in the field, have shown that under glucose-deficient conditions, hypoxic cells can utilize mannose and maltose as alternative energy sources. This review aims to comprehensively examine the hypoxic cancer microenvironment, its association with drug resistance, and potential therapeutic strategies for targeting this unique niche. Furthermore, we will critically evaluate the current literature on hypoxic cancer microenvironments and explore state-of-the-art techniques used to analyze alternate carbohydrates, specifically mannose and maltose, in complex biological fluids. We will also propose the most effective analytical methods for quantifying mannose and maltose in such biological samples. By gaining a deeper understanding of the hypoxic cancer cell microenvironment and its role in drug resistance, novel therapeutic approaches can be developed to exploit this knowledge.

Expression variations of DNA damage response genes ATM and ATR in blood cancer patients.

Hematological malignancies (HM) constitute a variety of cancers originating in blood, bone marrow (BM), and lymphatic systems. During the last two decades, the incidence of HM has dramatically increased worldwide. The etiology of HM is still debatable. Genetic instability is a major risk factor for HM. DDR network is a complex signal transduction cellular machinery that detects DNA damage and activates cellular repair factors, thus maintaining genomic integrity. DDR network detects a variety of DNA damage and triggers the activation of cell cycle control, DNA repair, senescence, and apoptosis. Among the DNA repairing pathways, the DNA damage response (DDR) pathway includes DNA damage signaling apparatus such as ATM and ATR genes. ATM tends to detect double-strand breaks (DSBs) while ATR detects single-strand DNA (ssDNA). The study was conducted to observe the expression deregulations of DNA damage response (DDR) pathway genes (ATM, ATR) at mRNA level in 200 blood cancer patients and 200 controls. The real-time PCR was used to analyze the expression of the target genes. The expression results showed statistically significant downregulation of ATM (p < 0.0001) and ATR (p < 0.0001) genes in blood cancer patients vs. controls. Moreover, a significant downregulation of ATM (p < 0.0001) and ATR (p < 0.0001) was obtained in chemotherapy-treated patients vs. healthy controls. The results suggest that dysregulation in ATM and ATR genes may be associated with increased blood cancer risk.

Molecular and biochemical characterization of rice developed through conventional integration of nDart1-0 transposon gene.

Mutations, the genetic variations in genomic sequences, play an important role in molecular biology and biotechnology. During DNA replication or meiosis, one of the mutations is transposons or jumping genes. An indigenous transposon nDart1-0 was successfully introduced into local indica cultivar Basmati-370 from transposon-tagged line viz., GR-7895 (japonica genotype) through conventional breeding technique, successive backcrossing. Plants from segregating populationsshowed variegated phenotypes were tagged as BM-37 mutants. Blast analysis of the sequence data revealed that the GTP-binding protein, located on the BAC clone OJ1781_H11 of chromosome 5, contained an insertion of DNA transposon nDart1-0. The nDart1-0 has "A" at position 254 bp, whereas nDart1 homologs have "G", which efficiently distinguishes nDart1-0 from its homologs. The histological analysis revealed that the chloroplast of mesophyll cells in BM-37 was disrupted with reduction in size of starch granules and higher number of osmophillic plastoglobuli, which resulted in decreased chlorophyll contents and carotenoids, gas exchange parameters (Pn, g, E, Ci), and reduced expression level of genes associated with chlorophyll biosynthesis, photosynthesis and chloroplast development. Along with the rise of GTP protein, the salicylic acid (SA) and gibberellic acid (GA) and antioxidant contents(SOD) and MDA levels significantly enhanced, while, the cytokinins (CK), ascorbate peroxidase (APX), catalase (CAT), total flavanoid contents (TFC) and total phenolic contents (TPC) significantly reduced in BM-37 mutant plants as compared with WT plants. These results support the notion that GTP-binding proteins influence the process underlying chloroplast formation. Therefore, it is anticipated that to combat biotic or abiotic stress conditions, the nDart1-0 tagged mutant (BM-37) of Basmati-370 would be beneficial.

Comparative study of ZIF-8-materials for removal of hazardous compounds using physio-chemical remediation techniques.

The inherent toxicity, mutagenicity and carcinogenicity of dyes that are discharged into aquatic ecosystems, harming the health of humans and animals. ZIF-8 based composites are regarded as good adsorbents for the breakdown of dyes in order to remove or degrade them. In the course of this research, metal-organic framework materials known as ZIF-8 and its two stable composites, ZIF-8/BiCoO3 (MZBC) and ZIF-8/BiYO3 (MZBY), were produced via a hydrothermal process and solvothermal process, respectively, for the dangerous Congo red (CR) dye removal from the solution in water using adsorption method. According to the findings, the most significant amount of CR dye that could be adsorbed is onto MZBC, followed by MZBY and ZIF-8. The pseudo-second-order kinetic model was used effectively to match the data for adsorption behavior and was confirmed using the Langmuir isotherm equation. There is a possibility that the pH and amount of adsorbent might influence the adsorption behavior of the adsorbents. According to the experiment results, the technique featured an endothermic adsorption reaction that spontaneously occurred. The higher adsorption capability of MZBC is because of the large surface area. This results in strong interactions between the functional groups on the surface of MZBC and CR dye molecules. In addition to the electrostatic connection between functional group Zn-O-H on the surface of ZIF-8 in MZBC and the -NH2 or SO3 functional group areas in CR molecules, it also includes the strong π-π interaction of biphenyl rings.

Transcriptome analysis reveals pathogenesis-related gene 1 pathway against salicylic acid treatment in grapevine (Vitis vinifera L).

Salicylic acid (SA) is a well-studied phenolic plant hormone that plays an important role in plant defense against the hemi-biothrophic and biothrophic pathogens and depends on the living cells of host for the successful infection. In this study, a pathogenesis test was performed between Vitis davidii and V. vinifera cultivars against grape white rot disease (Coniella diplodiella). V. davidii was found to be resistant against this disease. SA contents were found to be higher in the resistant grape cultivar after different time points. RNA-seq analysis was conducted on susceptible grapevine cultivars after 12, 24, and 48 h of SA application with the hypothesis that SA may induce defense genes in susceptible cultivars. A total of 511 differentially expressed genes (DEGs) were identified from the RNA-seq data, including some important genes, VvWRKY1/2, VvNPR1, VvTGA2, and VvPR1, for the SA defense pathway. DEGs related to phytohormone signal transduction and flavonoid biosynthetic pathways were also upregulated. The quantitative real-time PCR (qRT-PCR) results of the significantly expressed transcripts were found to be consistent with the transcriptome data, with a high correlation between the two analyses. The pathogenesis-related gene 1 (VvPR1), which is an important marker gene for plant defense, was selected for further promoter analysis. The promoter sequence showed that it contains some important cis-elements (W-box, LS7, as-1, and TCA-element) to recruit the transcription factors VvWRKY, VvNPR1, and VvTGA2 to express the VvPR1 gene in response to SA treatment. Furthermore, the VvPR1 promoter was serially deleted into different fragments (-1,837, -1,443, -1,119, -864, -558, -436, and -192 ) bp and constructed vectors with the GUS reporter gene. Deletion analysis revealed that the VvPR1 promoter between -1837 bp to -558 bp induced significant GUS expression with respect to the control. On the basis of these results, the -558 bp region was assumed to be an important part of the VvPR1 promoter, and this region contained the important cis-elements related to SA, such as TCA-element (-1,472 bp), LS7 (-1,428 bp), and as-1 (-520 bp), that recruit the TFs and induce the expression of the VvPR1 gene. This study expanded the available information regarding SA-induced defense in susceptible grapes and recognized the molecular mechanisms through which this defense might be mediated.

Map-based cloning and transcriptome analysis of the more-tiller and small-grain mutant in rice.

MAIN CONCLUSION: A G to T nucleotide substitution of OsTSG2 led to more tillers and smaller grains in rice by participating in phytohormone signal transduction and starch and sucrose metabolism. Rice is one of the most important food crops worldwide. Grain size and tiller number are the most important factors determining rice yield. The more-tiller and small-grain 2 (tsg2) mutant in rice, developed by ethyl methanesulfonate (EMS) mutagenesis, has smaller grains, more tillers, and a higher yield per plant relative to the wild-type (WT). Based on the genetic analysis, the tsg2 traits were conferred by a single recessive nuclear gene located on the long arm of chromosome 2. After fine-mapping the OsTSG2 locus, a G to T nucleotide substitution was identified, which resulted in an A to S mutation in a highly conserved domain of the growth-regulation factor protein. The single-strand conformation polymorphism (SSCP) marker was developed based on the SNP associated with the phenotypic segregation of traits. The functional complementation of OsTSG2 from the tsg2 mutant to the WT led to an increase in grain size and weight. The differentially expressed genes (DEGs) identified by RNA sequencing were involved in phytohormone signal transduction and starch and sucrose metabolism. Enzyme-linked immunosorbent assay (ELISA) analysis detected variation in the indole acetic acid (IAA) and jasmonic acid (JA) content in the tsg2 inflorescence, while the cellular organization, degree of chalkiness, gel consistency, amylose content, and alkaline spreading value were affected in the tsg2 grains. The findings elucidated the regulatory mechanisms of the tsg2 traits. This mutant could be used in marker-assisted breeding for high-yield and good-quality rice.

Oil tea shell synthesized biochar adsorptive utilization for the nitrate removal from aqueous media.

Various reported methods are devoted to nitrate removal from water over the years. However, recently researchers are focusing on developing the materials that offer bio-based, non-toxic, inexpensive and yet an efficient solution for water treatment. In this study, removal of nitrates from water was carried out using oil tea shells (OTS) as a biosorbent. OTS powder was impregnated with ZnCl2 and biochar was prepared which was further treated with Cetyltrimethylammonium bromide (CTAB), a cationic surfactant. Both the Langmuir and the Freundlich models were satisfied by the nitrate adsorption of OTS biochar. The adsorption capacity was measured at 15.6 mg/g when the circumstances were at their best. The pseudo-second-order model provided an accurate description of the kinetic data that were collected from batch trials. The adsorption yield goes up when by usage of more adsorbent, but it goes down when adsorption start with a higher concentration of nitrate. The strong basis of analytical equipments were used to characterize the OTS biosorbent. According to the findings of the research, surface-modified OTS biochar is an effective material for the removal of nitrate from aqueous solutions. This means that it has the potential to be utilized in water treatment as an adsorbent that is both inexpensive and kind to the natural environment. Removal of heavy metals and other organic pollutants, both from groundwater and wastewater using OTS biochar seems like a promising and interesting area of study.

Blockchain Based Secure Routing and Trust Management in Wireless Sensor Networks.

In this paper, an encryption and trust evaluation model is proposed on the basis of a blockchain in which the identities of the Aggregator Nodes (ANs) and Sensor Nodes (SNs) are stored. The authentication of ANs and SNs is performed in public and private blockchains, respectively. However, inauthentic nodes utilize the network's resources and perform malicious activities. Moreover, the SNs have limited energy, transmission range and computational capabilities, and are attacked by malicious nodes. Afterwards, the malicious nodes transmit wrong information of the route and increase the number of retransmissions due to which the SNs' energy is rapidly consumed. The lifespan of the wireless sensor network is reduced due to the rapid energy dissipation of the SNs. Furthermore, the throughput increases and packet loss increase with the presence of malicious nodes in the network. The trust values of SNs are computed to eradicate the malicious nodes from the network. Secure routing in the network is performed considering residual energy and trust values of the SNs. Moreover, the Rivest-Shamir-Adleman (RSA), a cryptosystem that provides asymmetric keys, is used for securing data transmission. The simulation results show the effectiveness of the proposed model in terms of high packet delivery ratio.

Effect of Salinity Stress on Germination, Seedling Growth, Mineral Uptake and Chlorophyll Contents of Three Cucurbitaceae Species

Abstract This study was performed to screen out the various species of 'Cucurbitaceae' family, musk melon (Kalash and Durga), bottle gourd (Crystal Long and Nuefield) and squash (Green Round, and Squash Malika) against the salt stress. All genotypes were treated with five different levels of NaCl (T0 = control, T1 = 1.5 dS m-1, T2 = 3.0 dS m-1, T3 = 4.5 dS m-1 and T4 = 6.0 dS m-1) and half strength of Hoagland's nutrients solution as the base nutrient solution. Results showed that the bottle gourd varieties "Nuefield" and "Crystal Long" performed best by maintaining the highest germination (93.2% and 85.6%), number of leaves per plant (4.5 and 5.7), shoot length (16.84 cm and 16.14 cm), root length (13.48 cm and 13.00 cm), plant fresh weight (942.2 g and 918.6 g), plant dry weight (118.4 g and 107.5 g), leaf area (171.2 cm2 and 169.1 cm2), chlorophyll content (3.5 μg/cm-2 and 3.4 μg/cm-2) with low chloride (1.57 ppm and 1.59 ppm) and sodium content (0.47 ppm and 0.51 ppm) under salt stress followed by varieties of Squash (Green Round, and Squash Malika) and musk melon (Kalash and Durga). It was also found that a higher level of salinity (4.5 dS m-1 and 6.0 dS m-1) has more adverse effects on the performance of all selected genotypes. Conclusively, it can be recommended that as compared to all tested species, bottle gourd varieties "Nuefield" and "Crystal Long" have the ability to withstand against salinity stress and should be planted under salt stress conditions.

Social Media Improves Students' Academic Performance: Exploring the Role of Social Media Adoption in the Open Learning Environment among International Medical Students in China.

Numerous studies have examined the role of social media as an open-learning (OL) tool in the field of education, but the empirical evidence necessary to validate such OL tools is scant, specifically in terms of student academic performance (AP). In today's digital age, social media platforms are most popular among the student community, and they provide opportunities for OL where they can easily communicate, interact, and collaborate with each other. The authors of this study aimed to minimize the literature gap among student communities who adopt social media for OL, which has positive impacts on their AP in Chinese higher education. We adopted social constructivism theory (SCT) and the technology acceptance model (TAM) to formulate a conceptual framework. Primary data containing 233 questionnaires of international medical students in China were collected in January 2021 through the survey method. The gathered data were analyzed through structural equation modeling techniques with SmartPLS 3. The results revealed that perceived usefulness, perceived ease of use, and interactions with peers have positive and significant influence on OL. In addition, OL was found to have positive and significant influence on students' AP and engagement. Lastly, engagement showed a positive impact on students' AP. Thus, this study shows that social media serves as a dynamic tool to expedite the development of OL settings by encouraging collaboration, group discussion, and the exchange of ideas between students that reinforce their learning behavior and performance.

Facile Synthesis of Transparent Glass Surfaces via Hydrothermal Route for Superhydrophobic Performance.

A facile and peculiar synthesis strategy is designed for the fabrication of transparent superhydrophobic surfaces on simple glass substrate. The synthesis methodology comprises of two steps of hydrothermal treatment of cleaned glass substrate with ultrapure water as a solvent followed by coating of 1H, 1H, 2H, 2H-perflourooctyltriethoxysilane (POTS) also by hydrothermal treatment in hydrothermal reactor. The hydrothermal treatment of glass substrate lead to the nanostructured surface morphology consisting of nanofibers and a blend of nanofibers/nanoflakes. Aforesaid nanostructured surface morphology upon hydrophobic coating resulted in superhydrophobic properties, increasing the water contact angle (WCA) from 92.0° to as high as 145.3°. Moreover, the developed synthesis approach also resulted in the optical transparent superhydrophobic glass substrate thus offering an attractive methodology to employ for self-cleaning applications.

CO2 separation by supported liquid membranes synthesized with natural deep eutectic solvents.

Betaine-based natural deep eutectic solvents (NADESs), a new class of green solvents, were immobilized into a porous polyvinylidene fluoride (PVDF) support and evaluated for the separation of CO2 from CO2/N2 and CO2/CH4 mixtures. Two types of NADESs were synthesized by mixing betaine (hydrogen bond acceptor-HBA) with malic acid and tartaric acid (hydrogen bond donors-HBD) respectively. FTIR and Raman spectroscopy were studied to confirm the synthesis and purity of the NADESs. The thermal strength of the NADESs was investigated using thermogravimetric analysis. The gas permeation results of the fabricated NADES-based-supported liquid membranes (NADES-SLMs) showed that the permeability of CO2 increased from 25.55 to 29.33 Barrer on substitution of hydrogen bond donor from tartaric acid to malic acid. Similarly, the ideal CO2/CH4 selectivity varied from 51.1 to 56.4 as tartaric acid was replaced by malic acid as the HBD. The performance of NADES-SLMs was compared with the competing imidazolium-based-supported ionic liquid membranes, and proved NADES-SLMs as a promising alternative considering their green potential and comparable gas separation performance. The current effort for the exploitation of NADESs into PVDF membranes in this study is expected to open new routes for the efficient separation of CO2 from the industrial gas mixture.

Genetic and expression variations of cell cycle pathway genes in brain tumor patients.

The present study was designed to determine the association between the genetic polymorphisms/expression variations of RB1 and CCND1 genes and brain tumor risk. For this purpose, 250 blood samples of brain tumor patients along with 250 controls (cohort I) and 96 brain tumor tissues (cohort II) with adjacent control section were collected. Mutation analysis of RB1 (rs137853294, rs121913300) and CCND1 (rs614367, rs498136) genes was performed using ARMS-PCR followed by sequencing, and expression analysis was performed using real-time PCR and immunohistochemistry. The results showed homozygous mutant genotype of RB1 gene polymorphism, rs121913300 (P=0.003) and CCND1 gene polymorphism rs614367 (P=0.01) were associated significantly with brain tumor risk. Moreover, significant down-regulation of RB1 (P=0.005) and up-regulation of CCND1 (P=0.0001) gene was observed in brain tumor sections vs controls. Spearman correlation showed significant negative correlation between RB1 vs proliferation marker, Ki-67 (r = -0.291*, P<0.05) in brain tumors. Expression levels of selected genes were also assessed at protein level using immunohistochemical analysis (IHC) and signification down-regulation of RB1 (P=0.0001) and up-regulation of CCND1 (P=0.0001) was observed in brain tumor compared with control sections. In conclusion, it is suggested that polymorphisms/expression variations of RB1 and CCND1 genes may be associated with increased risk of brain tumor.

Association of intronic polymorphisms (rs1549339, rs13402242) and mRNA expression variations in PSMD1 gene in arsenic-exposed workers.

Ubiquitin-proteasome system (UPS) gene, PSMD1, is an important gene for neutralization of damaged and misfolded protein(s). The current study was designed to study the genetic and expression variations of PSMD1 gene as a consequence of arsenic exposure and its potential implications in arsenic induced diseases. In the present study, 250 blood samples of exposed industrial workers along with 250 controls were used. Initially, tetra amplification refractory mutation system-PCR was used to determine the role of PSMD1 gene polymorphisms (rs1549339, rs13402242) in industrial workers and controls. Frequency of homozygous mutant genotype of rs1549339 (OR: 2.23, 95% CI: 1.51-3.32, p = 0.0001) and rs13402242 (OR: 2.96, 95% CI: 1.52-5.75, p = 0.001) was observed significantly higher in exposed individuals vs controls. Secondly, qPCR was performed for expression analysis of PSMD1 gene. Significant down-regulated expression of PSMD1 gene (p < 0.0001) was observed vs controls, and this down-regulation was observed more pronounced in smokers (p < 0.0001) with maximum exposure duration (p < 0.0008). This down-regulated expression was observed significantly more pronounced in welding (p < 0.004) and brick kiln industries (p < 0.04) compared to other selected industries. The obtained results suggest that the exposure to arsenic may have an increased risk of developing disease(s) because of arsenic-induced PSMD1 variations.

Modulation of brain tumor risk by genetic SNPs in PARP1gene: Hospital based case control study.

PARP-1 gene plays an essential part in base excision repair pathway and its functional variations result in several types of cancer. In this study we have explored the effect of genetic variations in PARP-1 gene in brain tumorigenesis. This case control study comprised of 500 brain tumor cases along with 500 healthy controls. Three polymorphisms of PARP-1 gene, rs1136410 (Val762Ala), rs1805404 (Asp81Asp) and rs1805414 (Ala284Ala) were analyzed using AS-PCR method followed by DNA sequencing. Joint effect model, haplotype analysis and linkage disequilibrium of these polymorphisms was assessed using Haploview 4.2. In rs1136410 (Val762Ala) heterozygous mutant genotype (CT) was observed notably lower (OR: 0.44., 95% CI: 0.33-0.57., p<0.0001) in brain tumor patients compared to controls and ~2 fold increased frequency of homozygous mutant genotype (CC) was observed in brain tumor patients versus controls (OR: 1.51., 95%CI: 1.16-1.96, p = 0.001). In rs1805414 (Ala284Ala), frequency of heterozygous mutant genotype (CT) was observed lower (OR: 0.77., 95% CI: 0.60-0.99., p = 0.05) in patients versus controls. In rs1805404 (Asp81Asp), heterozygous mutant genotyping (CT) was observed lower in brain tumor patients compared with the healthy controls (OR: 0.63., 95% CI: 0.48-0.83., p = 0.001). However, homozygous mutant genotype (TT) was observed increased in patients compared to controls (OR: 1.41., 95% CI:1.07-1.85., p = 0.01). We assessed the fact that in combination the PARP-1 gene SNPs, rs1136410 (Val762Ala), rs1805414 (Ala284Ala) and rs1805404 (Asp81Asp) may increase the brain pathogenesis at least in Pakistani population.

Expression deregulation of DNA repair pathway genes in gastric cancer.

This study was designed to check correlation of mRNA and protein expression of BER pathway genes(XRCC1, OGG1) and a proliferation marker (Ki-67) in 100 gastric tissue samples and controls (adjacent uninvolved area). The expression was estimated usingreal time PCR and immunohistochemistry. Genomic instability was also calculated in the same study cohort using 8-OHdG assay, DNA fragmentation assay and comet assay. A significant downregulation of XRCC1 (p < 0.0001) and OGG1 (p < 0.0001) expression was observed in gastric cancer tumors vs controls. When analyzed with spearman correlation, significant positive correlation was observed between OGG1 vs XRCC1 (r = 0.319*, p < 0.02) and significant negative correlation was observed between OGG1 vs Ki-67 (r = -0.462**, p < 0.001) and XRCC1 vs Ki-67 (r = -0.589**, p < 0.001) in gastric cancer tumors. Significantly higher level of 8-OHdG, when compared to controls, was observed in gastric cancer tumors (p < 0.0001). DNA fragmentation assay and comet assay showed the formation of increased ladder patterns and comets in gastric cancer tumors when compared with controls These findings suggest that dysregulation of XRCC1, OGG1 combined with overexpression of Ki-67 may contribute to progression of gastric cancer and may help to sub-classify patients within diverse risk groups for therapeutic advantages.

Role of M.tuberculosis protein Rv2005c in the aminoglycosides resistance.

Tuberculosis is an airborne infectious disease caused by Mycobacterium tuberculosis which threatens the globe. Aminoglycosides {Amikacin (AK) & Kanamycin (KM)} are WHO recommended second-line anti-TB drugs used against the treatment of drug-resistant tuberculosis. Aminoglycosides target the steps of protein translation machinery of M.tuberculosis. Several mechanisms have been put forward to elucidate the phenomena of aminoglycosides resistance but our knowledge is still insufficient. The aim of the study was to understand the involvement of Mycobacterium tuberculosis universal stress protein (Rv2005c) in aminoglycosides resistance and virulence. To establish the relationship of universal stress protein Rv2005c with AK & KM resistance, Rv2005c was cloned, expressed in E.coli BL21 using pQE2 expression vector and antimicrobial drug susceptibility testing (DST) was carried out. STRING-10 was also used to predict the interacting protein partners of Rv2005c. DST showed that the minimum inhibitory concentration of induced recombinant cells (Rv2005c) were five and four folds shifted with AK and KM E-strips, respectively. STRING-10 showed the interacting protein partners of Rv2005c. Overexpression of Rv2005c leads to shifting in MIC which might be signifying its involvement in the survival/resistance of Mycobacteria by inhibiting/modulating the effects of AK and KM released from the E-strips. Interactome also suggests that Rv2005c and its interacting protein partners are cumulatively involved in M.tuberculosis resistance, stresses, and latency.

Redox balance and DNA fragmentation in arsenic-exposed occupational workers from different industries of Pakistan.

AbstractOccupational exposure accounts for a contact between workers and different toxicants. Present study was designed to measure the arsenic-induced DNA fragmentation and oxidative stress in exposed workers. Blood, hair, and nail samples were collected from welding, brick kiln, furniture, pesticide, and paint industries (n = 50/industry) of Pakistan along with 200 controls. DNA damage was calculated using DNA fragmentation assay. Antioxidant enzymes (CAT, SOD, GPx) were measured using ELISA. Results revealed that arsenic exposure induced DNA fragmentation in brick kiln, furniture, and welding industries. Enzyme activity was reduced in five industries compared to control. In exposed group, significant depletion of enzymes was observed in furniture, welding, and brick kiln workers. Based on age and time of exposure, significant difference was observed in welding and brick kiln group. Smokers of exposed group showed significantly reduced levels of enzymes compared to controls. Arsenic deposition was observed higher in the hair, nail, and blood samples of exposed group (P < 0.001) compared to control. Likewise, lead and cadmium contents were higher in the blood samples of industrial workers compared to control. This study suggests increased trend of cellular damage and oxidative stress in occupational workers profoundly in welding, furniture, and brick kiln industries. Moreover, this study recognizes the contribution of age, exposure time, and smoking status toward arsenic-induced oxidative stress and DNA fragmentation.