Scanning electron microscopic investigation on Chicory tribe (Compositae) botanical sources and their antimicrobial potential.

This study discusses the micro-level structural details of Cichorieae pollen sources elucidated by scanning electron microscopy (SEM) and explains their symmetry and morphometry. The in-depth knowledge from the electron ultrastructure of Asteraceae pollen has provided insights into enhanced pollen morphology, and the antimicrobial significance of species under study presents novel avenues for their natural defense mechanisms in the development of antimicrobial agents. In this research, both quantitative and qualitative features of pollen were examined. The pollen grains are prolate-spheroidal and oblate-spheroidal in shape, characterized by a maximum polar diameter of 55.6-61.0 µm and a maximum equatorial distance of 68.3-74.4 µm. SEM reveals various configurations such as echinate perforate-tectate, psilate, and echino-lophate perforate. The Cichorieae species have significant antimicrobial efficacy and are promising sources for the development of novel antimicrobial drugs with potential implications in pharmaceutical and healthcare industries. SEM analysis of Cichorieae pollens has provided remarkable insights into their unique structures, revealing diverse shapes and surface ornamentations, which can be used for accurate Asteraceae species identification. RESEARCH HIGHLIGHTS: SEM provides unique pollen surface structures and patterns of Chicory pollen grains. Chemical composition of Chicory botanical sources provides valuable information on their potential as antimicrobial agents. SEM imaging reveals specialized fenestrate grain structures of taxonomic importance.

Assessment of the botanical origin of Saudi Arabian honey samples to identify pollen with chromatographic tools and packing and storage.

The increasing demand for honey purification and authentication necessitates the global utilization of advanced processing tools. Common honey processing techniques, such as chromatography, are commonly used to assess the quality and quantity of valuable honey. In this study, 15 honey samples were authenticated using HPLC and GC-MS chromatographic methods to analyze their pollen spectrum. Various monofloral honey samples were collected, including Acacia, Hypoestes, Lavandula, Tamarix, Trifolium, and Ziziphus species, based on accurate identification by apiarists in 2023 from the Kingdom of Saudi Arabia. Honey analysis revealed the extraction of pollen from 20 different honeybee floral species. Pollen identified from honey samples using advanced chromatographic tools revealed dominant vegetation resources: Ziziphus species (23%), Acacia species (25%), Tamarix species (34%), Lavandula species (26%), Hypoestes species (34%), and Trifolium species (31%). This study uses HPLC to extract phenolic compounds, revealing dominant protocatechuic acid (4.71 mg g-1), and GC-MS to analyze organic compounds in honey pollen. Specifically, 2-dodecanone was detected with a retention time of 7.34 min. The utilization of chromatographic tools in assessing honey samples for pollen identification provides a reliable and efficient method for determining their botanical origins, thereby contributing to the quality control and authentication of honey products.

Mycoremediation of the novel fungicide ametoctradin by different agricultural soils and accelerated degradation utilizing selected fungal strains.

Accelerating safety assessments for novel agrochemicals is imperative, advocating for in vitro setups to present pesticide biodegradation by soil microbiota before field studies. This approach enables metabolic profile generation in a controlled laboratory environment eliminating extrinsic factors. In the current study, ten different soil samples were utilized to check their capability to degrade Ametoctradin by their microbiota. Furthermore, five different fungal strains (Aspergillus niger, Aspergillus flavus, Aspergillus fumigatus, Lasiodiplodia theobromae, and Penicillium chrysogenum) were utilized to degrade Ametoctradin in aqueous media. A degradation pathway was established using the metabolic patterns created during the biodegradation of Ametoctradin. In contrast to 47% degradation (T1/2 of 34 days) when Ametoctradin was left in the soil samples, the fungal strain Aspergillus fumigatus demonstrated 71% degradation of parent Ametoctradin with a half-life (T1/2) of 16 days. In conclusion, soil rich in microorganisms effectively cleans Ametoctradin-contaminated areas while Fungi have also been shown to be an effective, affordable, and promising way to remove Ametoctradin from the environment.

Isolation and characterization of PGPR obtained from different arsenic-contaminated soil samples and their effect on photosynthetic characters of maize grown under arsenic stress.

Contamination of the environment due to speedup of anthropogenic activities has become a serious threat to modern humanity. Among the contaminants, the new emerging concern is the heavy metal (HM) contamination in the environment. Because the persistence and harmfulness of heavy metals affect the ecosystem and the health of plants, animals, and humans, they are the most toxic substances in the environment. Among them, Arsenic (As) emerged as major environmental constraint leading to enormous negative effects on the plant, animal, and human health. Even in minute quantity, As is known to cause various critical diseases in humans and toxicity in plants. Research was performed to observe the capability of plant growth-promoting strains of bacteria in enhancing Zea mays (L.) growth in arsenic polluted soil. Total 30 bacterial strains were isolated from the polluted soils, screened for plant growth promotion potential and arsenic tolerance. Eighteen isolates showed resistance to different levels of sodium arsenate (ranging from 0 to 50 mM) in agar plate using LB media. Of 18 isolates, 83.3% produced IAA, methyl red, and hydrogen cyanide; 55.5% exhibited catalase activity; 61.1% showed siderophore production; 88.8% showed phosphate solubilization; and 44.4% showed oxidase, Voges proskauer activity, and KOH solubility. The most efficient isolates SR3, SD5, and MD3 with significant arsenic tolerance and plant growth-promoting (PGP) activity were examined via sequencing of amplified 16S rRNA gene. Isolates of bacteria, i.e., SR3, SD5, and MD3, showing multiple PGP-traits were identified as Bacillus pumilus (NCBI accession number: OR459628), Paenibacillus faecalis (NCBI accession number: OR461560), and Pseudochrobactrum asaccharolyticum (NCBI accession number: OR458922), respectively. Maize seeds treated with these PGPR strains were grown in pots contaminated with 50 ppm and 100 ppm sodium arsenate. Compared to untreated arsenic stressed plants, bacterial inoculation P. asaccharolyticum (MD3) resulted 20.54%, 18.55%, 33.45%, 45.08%, and 48.55% improvement of photosynthetic pigments (carotenoid content, chlorophyll content, stomatal conductance (gs), substomatal CO2, and photosynthetic rate), respectively. Principal component analysis explained that first two components were more than 96% of the variability for each tested parameter. The results indicate that in comparison to other isolates, P. asaccharolyticum isolate can be used as efficient agent for improving maize growth under arsenic polluted soil.

Prognostic model development and molecular subtypes identification in bladder urothelial cancer by oxidative stress signatures.

BACKGROUND: Mounting studies indicate that oxidative stress (OS) significantly contributes to tumor progression. Our study focused on bladder urothelial cancer (BLCA), an escalating malignancy worldwide that is growing rapidly. Our objective was to verify the predictive precision of genes associated with overall survival (OS) by constructing a model that forecasts outcomes for bladder cancer and evaluates the prognostic importance of these genetic markers. METHODS: Transcriptomic data were obtained from TCGA-BLCA and GSE31684, which are components of the Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO), respectively. To delineate distinct molecular subtypes, we employed the non-negative matrix factorization (NMF)method. The significance of OS-associated genes in predicting outcomes was assessed using lasso regression, multivariate Cox analysis, and univariate Cox regression analysis. For external validation, we employed the GSE31684 dataset. CIBERSORT was utilized to examine the tumor immune microenvironment (TIME). A nomogram was created and verified using calibration and receiver operating characteristic (ROC) curves, which are based on risk signatures. We examined variations in clinical characteristics and tumor mutational burden (TMB) among groups classified as high-risk and low-risk. To evaluate the potential of immunotherapy, the immune phenomenon score (IPS) was computed based on the risk score. In the end, the pRRophetic algorithm was employed to forecast the IC50 values of chemotherapy medications. RESULTS: In our research, we examined the expression of 275 genes associated with OS in 19 healthy and 414 cancerous tissues of the bladder obtained from the TCGA database. As a result, a new risk signature was created that includes 4 genes associated with OS (RBPMS, CRYAB, P4HB, and PDGFRA). We found two separate groups, C1 and C2, that showed notable variations in immune cells and stromal score. According to the Kaplan-Meier analysis, patients classified as high-risk experienced a considerably reduced overall survival in comparison to those categorized as low-risk (P<0.001). The predictive capability of the model was indicated by the area under the curve (AUC) of the receiver operating characteristic (ROC) curve surpassing 0.6. Our model showed consistent distribution of samples from both the GEO database and TCGA data. Both the univariate and multivariate Cox regression analyses validated the importance of the risk score in relation to overall survival (P < 0.001). According to our research, patients with a lower risk profile may experience greater advantages from using a CTLA4 inhibitor, whereas patients with a higher risk profile demonstrated a higher level of responsiveness to Paclitaxel and Cisplatin. In addition, methotrexate exhibited a more positive outcome in patients with low risk compared to those with high risk. CONCLUSIONS: Our research introduces a novel model associated with OS gene signature in bladder cancer, which uncovers unique survival results. This model can assist in tailoring personalized treatment approaches and enhancing patient therapeutic effect in the management of bladder cancer.

Biocontrol of Rice Seed-Associated Fungal Pathogens Using Green Synthesis Approaches.

Rice (Oryza sativa) is a major cereal crop that balances the food demand of the worldwide population. The crop quality drops daily due to their exposure to biotic and abiotic stresses, especially pathogens. It needs to be improved to maintain the consumption level to cope with increasing population demands for food. The current study was designed to analyze the comparison of the effects of green synthesis approaches on pathogens associated with rice seeds. In this study, essential oils were extracted from Cymbopogon citratus, Thymus vulgaris, and Origanum vulgaris medicinal plants and used as fungicides on fungal strains of Aspergillus spp. T. vulgaris effectively controlled the growth of Aspergillus niger, Aspergillus flavus, and Aspergillus terreus as compared with O. vulgaris and Cymbopogon. Further, silica nanoparticles (SiNPs) were synthesized from rice husk to evaluate their antifungal activities. SiNPs were characterized by ultraviolet-visible spectroscopy with a broad peak at 281.62 nm. Fourier-transform infrared spectroscopy spectrum confirms the presence of Si-H, Si-OH, and Si-O-Si bonds functional groups, and SiO4 tetrahedral coordination unit. X-ray diffraction pattern describes the crystalline structure with a sharp peak at 2θ = 22°. Scanning electron microscopy and energy-dispersive spectroscopy confirmed the spherical shape, size 70-115 nm, and elemental composition with pure silica contents. SiNPs showed no significant antifungal activity against Aspergillus strains. Moreover, Trichoderma was isolated from the rhizosphere of rice fields and showed a surprising antifungal effect against A. terreus, A. niger, and A. flavus. The current study successfully revealed environment-friendly and cost-effective green synthesizing approaches for analyzing biocontrol potential against rice seed-related Aspergillus spp. They will also help to improve pathogen control strategies in other cereals.

Revealing the intricate microcosm: Advancing invasive species pollen analysis through scanning microscopy of ultra sculpture.

Micromorphological visualization of plant surface peculiarities provides valuable characters for the precise identification of plant species. Invasive alien species, introduced outside their native range, pose significant ecological, and health challenges. This study focuses on micromorphological investigations of selected invasive plant species belonging to the families Amaranthaceae, Asteraceae, Moraceae, Crassulaceae, Cannabaceae, Fabaceae, Commelinaceae, and Oxalidaceae. The study employs scanning electron microscopy (SEM) to analyze the species micromorphology of pollen structure in depth to characterize the sculpturing patterns. Additionally, the study examines the pollen characteristics of these invasive plants, including shape, size, and fertility, along with exine sculpturing. The maximum polar diameter was observed for Senna tora (41.2 µm). The spines in Achillea fragrantissima were measured to have dimensions of approximately 1.91 µm in length and 2.11 µm in width. The findings shed light on the allergy-causing potential of these invasive species, providing crucial information for accurate identification and effective management strategies to safeguard the indigenous flora of the region. The study contributes to the knowledge base for botanists, taxonomists, policy makers, climate experts, and biodiversity specialists. RESEARCH HIGHLIGHTS: Integrating SEM to analyze the pollen of invasive species. Unveiling pollen micromorphology of invasive species. Exploring the microscopic realm of invasive pollen to accurately identify the species.

PTPN3 in cancer: unveiling its immune-mediated impact on prognosis and dysregulated signaling pathways.

OBJECTIVES: Oncogenic processes in cancer are frequently marked by the dysregulation of critical genes, and PTPN3 (Protein Tyrosine Phosphatase, Non-Receptor Type 3) has emerged as a gene of interest due to its potential involvement in various cellular processes. This study delves into the diagnostic and prognostic implications of PTPN3 in a pan-cancer context. METHODS: Leveraging comprehensive genomic datasets and experimental validation, we aimed to shed light on the role of PTPN3 in cancer. RESULTS: Our findings revealed the pervasive up-regulation of PTPN3 across 33 cancer types, making it a ubiquitous player in tumorigenesis. Of particular note, PTPN3 up-regulation exhibited a strong association with reduced overall survival in breast cancer (BRCA) and lung adenocarcinoma (LUAD). This underscores PTPN3's potential as a valuable prognostic marker in these cancers. While genetic mutations often drive oncogenic processes, our mutational analysis demonstrated the relative stability of PTPN3 in BRCA and LUAD. Promoter methylation analysis showed that hypomethylation plays a predominant role in PTPN3 dysregulation in BRCA and LUAD. Furthermore, our study unveiled positive correlations between PTPN3 expression and CD8+ T cell infiltration, offering insights into the gene's influence on the tumor immune microenvironment. Pathway enrichment analysis highlighted the involvement of PTPN3-associated genes in crucial signaling pathways. In addition, drug prediction analysis pinpointed potential drugs capable of modulating PTPN3 expression, opening avenues for personalized treatment strategies. CONCLUSION: In summary, our study elucidates the multifaceted roles of PTPN3 in BRCA and LUAD, underlining its significant up-regulation, prognostic relevance, epigenetic regulation, and its impact on the tumor immune microenvironment.

Comprehensive multi-level expression profiling of key biomarkers in breast cancer patients.

OBJECTIVES: In this comprehensive breast cancer (BC) study, we aimed to identify, validate, and characterize key biomarkers with significant implications in BC diagnosis, prognosis, and as therapeutic targets. METHODS: Our research strategy involved a multi-level methodology, combining bioinformatic analysis with experimental validation. RESULTS: Initially, we conducted an extensive literature search to identify BC biomarkers, selecting those with reported accuracies exceeding 20% in specificity and sensitivity. This yielded nine candidate biomarkers, which we subsequently analyzed using Cytoscape to identify a few key biomarkers. Based on the degree method, we denoted four key biomarkers, including progesterone receptor (PGR), epidermal growth factor receptor (EGFR), estrogen receptor 1 (ESR1), and Erb-B2 Receptor Tyrosine Kinase 2 (ERBB2). Expression analysis using The Cancer Genome Atlas (TCGA) dataset revealed that PGR and EGFR exhibited significant (p-value < 0.05) down-regulation in BC samples when compared to controls, while ESR1 and ERBB2 showed up-regulation. To strengthen our findings, we collected clinical BC tissue samples from Pakistani patients and performed expression verification using real-time quantitative polymerase chain reaction (RT-qPCR). The results aligned with our initial TCGA dataset analysis, further validating the differential expression of these key biomarkers in BC. Furthermore, we utilized receiver operating characteristic (ROC) curves to demonstrate the diagnostic use of these biomarkers. Our analysis underscored their accuracy and sensitivity as diagnostic markers for BC. Survival analysis using the Kaplan-Meier Plotter tool revealed a prognostic significance of PGR, ESR1, EGFR, and ERBB2. Their expression levels were associated with poor overall survival (OS) of BC patients, shedding light on their roles as prognostic indicators in BC. Lastly, we explored DrugBank to identify drugs that may reverse the expression patterns , and estradiol, decitabine, and carbamazepine were singled out. CONCLUSION: Our study gives valuable insight into BC biomarkers, for diagnosis and prognosis. These findings have implications for BC management using personalized and targeted therapeutic approaches for BC patients.

Evaluation of Biogenic Silver Nanoparticles Synthesized from Vegetable Waste.

Introduction: Vegetable waste has numerous essential values and can be used for various purposes. Unfortunately, it is often discarded worldwide due to a lack of awareness regarding its nutritional and practical significance. Even the nutrient-rich peels of fruits and vegetables are commonly wasted, despite their numerous useful applications. Utilizing vegetable waste to produce silver nanoparticles through green synthesis is an advantageous, economical, and environmentally friendly method for producing valuable products while addressing waste management concerns. The main emphasis of this study was to synthesize silver nanoparticles (AgNPs) by using vegetable waste from Solanum tuberosum (potato) and Coriander sativum (coriander). Methods: The stems of Coriander sativum and peels of Solanum tuberosum were used as extracts for the synthesis of AgNPs. The characterization of the synthesized AgNPs involved UV-spectroscopy, scanning electron microscopy (SEM), and X-ray diffraction (XRD). The phytochemical analysis was performed to analyze antimicrobial, cytotoxic, antidiabetic, antitumor, antioxidant, alpha-amylase, and protein inhibition activities. Results: The change in the color of the reaction mixture from yellowish green to brown following the addition of extracts to the silver nitrate solution confirmed nanoparticle synthesis. UV analysis has shown peaks in the range of 300-400nm. SEM confirmed the spherical and agglomerated morphology and size of 64nm for potato peel and 70nm for coriander stem. XRD confirmed the crystalline structure of silver nanoparticles. The phytochemical assays confirmed that silver nanoparticles had higher total phenolic and flavonoid contents. The biosynthesized silver nanoparticles showed promising antimicrobial, cytotoxic, antidiabetic, antitumor, and antioxidant properties and significant alpha-amylase and protein inhibition activities in comparison with the crude extracts. Conclusion: The bioactivity of the plant suggests that it could be a suitable option for therapeutic purposes. This study demonstrates a potential method for sustainable nanoparticle synthesis and the therapeutic applications of AgNPs derived from vegetable waste. By utilizing the potential of vegetable waste, we can contribute to both environmental sustainability and the development of innovative, valuable products in fields such as medicine, agriculture, and materials science. These findings encourage further research on agricultural byproducts, promoting environmentally friendly and economically advantageous research and development efforts.

Adherence to Mediterranean Diet Is Associated with Multiple Sclerosis Severity.

Currently available data suggest that the union of a balanced diet and an overall healthy lifestyle may determine an amelioration in several clinical parameters and in the quality of life for patients with MS (pwMS). The study objective was to investigate the possible difference in MS severity in a group of Italian patients with MS based on their adherence to Mediterranean Diet (MedDiet). Eating habits were collected through a validated 110-items Food Frequency Questionnaire, the Medi-Lite score was used for adherence to MedDiet evaluation. MS severity was graded according to Herbert's severity scale, based on the MSSS. 106 patients were classified in 3 groups according to their MedDiet adherence (low/medium/high). Higher adherence was associated with a 6.18 (95% CI: 1.44, 26.59) higher probability of having a mild-to-moderate MS. When studying the single constituents of the Medi-Lite score, none of them was individually associated with MS severity. It remains unclear whether effects of specific dietary components included in the MedDiet may impact the health status at disease onset or can slow down the symptoms due course of disease. Future studies are needed to reproduce our findings and should focus on answering the latter raised question.

Microbial detoxification of bifenthrin insecticide by selected fungal strains and optimizing conditions using response surface methodology for agricultural sustainability.

Bifenthrin is a type I broad spectrum pyrethroid insecticide widely employed in urban and agricultural settings with little knowledge about its biodegradation. Bifenthrin was subjected to a 35 days incubation period in which it was degraded by five fungal strains named as Aspergillus niger, Aspergillus flavus, Aspergillus fumigatus, Penicillium chrysogenum, and Lasiodiplodia theobromae. Penicillium chrysogenum was found to be extremely effective in degrading bifenthrin up to 85%. Furthermore, response surface methodology (RSM) with Box-Behnken design is applied to optimize the degradation conditions with varying pH, temperature (°C), and incubation time (days). The p value < 0.05 in the response surface design and analysis of variance showed the significance of the reaction parameters. The ideal conditions for Penicillium chrysogenum to break down bifenthrin (10 mgL-1) were found to be 30 °C, pH 7, and a 24 days incubation period. In eutrophic conditions and a glucose-rich media, this fungus co-metabolized bifenthrin. By hydrolytically cleaving the carboxyl ester bond, the Penicillium chrysogenum breaks down bifenthrin, as shown by the chromatogram of four metabolites from GCMS. The biodegradation of bifenthrin by strain Penicillium chrysogenum and its use in agronomic situations are now well understood as per the findings of this study.

Utilizing hydrothermal time models to assess the effects of temperature and osmotic stress on maize (Zea mays L.) germination and physiological responses.

The application of germination models in economic crop management makes them extremely useful for predicting seed germination. Hence, we examined the effect of varying water potentials (Ψs; 0. - 0.3, - 0.6, - 0.9, - 1.2 MPa) and temperatures (Ts; 20, 25, 30, 35, 40 °C) on maize germination and enzymatic antioxidant mechanism. We observed that varying Ts and Ψs significantly influenced germination percentage (GP) and germination rate (GR), and other germination parameters, including germination rate index (GRI), germination index (GI), mean germination index (MGI), mean germination time (MGT), coefficient of the velocity of germination (CVG), and germination energy (GE) (p ≤ 0.01). Maximum (87.60) and minimum (55.20) hydro-time constant (θH) were reported at 35 °C and 20 °C, respectively. In addition, base water potential at 50 percentiles was highest at 30 °C (15.84 MPa) and lowest at 20 °C (15.46 MPa). Furthermore, the optimal, low, and ceiling T (To, Tb and Tc, respectively) were determined as 30 °C, 20 °C and 40 °C, respectively. The highest θT1 and θT2 were reported at 40 °C (0 MPa) and 20 °C (- 0.9 MPa), respectively. HTT has a higher value (R2 = 0.43 at 40 °C) at sub-optimal than supra-optimal temperatures (R2 = 0.41 at 40 °C). Antioxidant enzymes, including peroxidase (POD), catalase (CAT), superoxide dismutase (SOD), ascorbate peroxidase (APX), and glutathione peroxidase (GPX), increased with decreasing Ψs. In contrast, CAT and POD were higher at 20 °C and 40 °C but declined at 25, 30, and 35 °C. The APX and GPX remained unchanged at 20, 25, 30, and 40 °C but declined at 35 °C. Thus, maintaining enzymatic activity is a protective mechanism against oxidative stress. A decline in germination characteristics may result from energy diverting to anti-stress tools (antioxidant enzymes) necessary for eliminating reactive oxygen species (ROS) to reduce salinity-induced oxidative damage. The parameters examined in this study are easily applicable to simulation models of Z. mays L. germination under extreme environmental conditions characterized by water deficits and temperature fluctuations.

Unveiling the intricacies of Amaranthaceous pollen diversity: Advancing ultra sculpture analysis through LM and SEM.

Microscopic techniques can be applied to solve taxonomic problems in the field of plant systematic and are extremely versatile in nature. This study was focused on the new approaches to visualizing the imaging, tool to cover the micro-structural techniques applied to the pollen study of Amaranthaceae floral biology. In this detailed study, we used light microscopy and scanning electron microscopy to examine the shape and changes in pollen of 16 types of Amaranthaceae plants from the salty arid zone of Riyadh Saudi Arabia. We observed subtle variations among the studied species through meticulous examination of morpho-palynological features such as symmetry, size, shape, pore ornamentation, and exine characteristics. The pollen grains were round and had rough or prickly outer coverings. They had different numbers of tiny pores; some were slightly sunken. These findings were utilized to develop a pollen taxonomy key, facilitating accurate identification and classification of Amaranthaceous species. Our results shed light on the taxonomic significance of pollen morphology for species differentiation within the Amaranthaceae family. Furthermore, this study provides valuable insights into the influence of geographical and ecological factors on pollen diversity and evolution. This study of pollen imaging visualization of Amaranthaceous species contributes to the opportunity for taxonomic evaluation and fill knowledge gaps in studies of Amaranthaceous flora identification using classical microscopic taxonomic tools for their accurate identification. RESEARCH HIGHLIGHTS: The pollen characters of selected Amaranthaceae species were visualized using scanning electron microscopy to observe sculptural wall pattern. The comprehensive Amaranthaceous pollen examination approach allowed us to accurately identify their micromorphology. This high-resolution imaging technique provided detailed insights into the surface structures and ornamentation of the pollen grains.

Correction: Unveiling anticancer, antimicrobial, and antioxidant activities of novel synthesized bimetallic boron oxide-zinc oxide nanoparticles.

[This corrects the article DOI: 10.1039/D3RA03413E.].

Unveiling anticancer, antimicrobial, and antioxidant activities of novel synthesized bimetallic boron oxide-zinc oxide nanoparticles.

Bimetallic nanoparticles have received much attention recently due to their multifunctional applications, and synergistic potential at low concentrations. In the current study, bimetallic boron oxide-zinc oxide nanoparticles (B2O3-ZnO NPs) were synthesized by an eco-friendly, and cost-effective method through the utilization of gum arabic in the presence of gamma irradiation. Characterization of the synthesized bimetallic B2O3-ZnO NPs revealed the successful synthesis of bimetallic NPs on the nano-scale, and good distribution, in addition to formation of a stable colloidal nano-solution. Furthermore, the bimetallic B2O3-ZnO NPs were assessed for anticancer, antimicrobial and antioxidant activities. The evaluation of the cytotoxicity of bimetallic B2O3-ZnO NPs on Vero and Wi38 normal cell lines illustrated that bimetallic B2O3-ZnO NPs are safe in use where IC50 was 384.5 and 569.2 µg ml-1, respectively. The bimetallic B2O3-ZnO NPs had anticancer activity against Caco 2 where IC50 was 80.1 µg ml-1. Furthermore, B2O3-ZnO NPs exhibited promising antibacterial activity against E. coli, P. aeruginosa, B. subtilis and S. aureus, where MICs were 125, 62.5, 125 and 62.5 µg ml-1 respectively. Likewise, B2O3-ZnO NPs had potential antifungal activity against C. albicans as unicellular fungi (MIC was 62.5 µg ml-1). Moreover, B2O3-ZnO NPs displayed antioxidant activity (IC50 was 102.6 µg ml-1). In conclusion, novel bimetallic B2O3-ZnO NPs were successfully synthesized using gum arabic under gamma radiation, where they displayed anticancer, antimicrobial and antioxidant activities.

Integrative bioinformatics and RNA sequencing based methodology results in the exploration of breast invasive carcinoma biomarkers.

BACKGROUND: Previously reported breast invasive carcinoma (BRIC) biomarkers have compromised utility because of their heterogeneity-specific behaviors. The goal of this study was to find BRIC biomarkers that could be used in spite of the heterogeneity barrier. METHODS: Previously reported BRIC-linked hub genes were obtained from the literature via a search technique. A protein-protein interaction (PPI) network of the extracted hub genes was constructed, visualized, and analyzed to explore the top six real hub genes. Following this, real hub genes' expression profiling was carried out using various TCGA data sources and RNA sequencing (RNA-seq) of BT 20 and HMEC cell lines to uncover the tumor-driver roles of the real hub genes. RESULTS: In total, 124 BRIC-linked hub genes were collected from the literature via the search technique. From these collected hub genes, a total of 6 genes, including Centrosomal protein of 55 kDa (CEP55), Kinesin Family Member 2C (KIF2C), kinesin family member 20A (KIF20A), Ribonucleotide Reductase Regulatory Subunit M2 (RRM2), Aurora A Kinase (AURKA), and Protein Regulator of cytokinesis 1 (PRC1) were determined to be the real hub genes. Via expression profiling and validation analyses, we documented the overexpression of CEP55, KIF2C, KIF20A, RRM2, AURKA, and PRC1 real hub genes in BRIC patients with different clinical variables. Further correlational analyses showed diverse associations among real hub genes' expression and other important parameters, including promoter methylation status, genetic alteration, overall survival (OS), relapse-free survival (RFS), tumor purity, CD8+ T, CD4+ T immune cell infiltration, and different mutant genes across BRIC samples. Finally, in this work, we investigated several transcription factors (TFS), microRNAs, and therapeutic medicines related to the real hub genes that have great therapeutic potential. CONCLUSION: In conclusion, we discovered six real hub genes, which may be employed as novel potential biomarkers for BRIC patients with different clinical parameters.

Identification of hub genes associated with head and neck squamous cell carcinoma by integrated bioinformatics approach and RNA-seq validation analysis.

Head and neck squamous cell carcinoma (HNSC) is one of the most lethal malignancies around the globe. Due to its complex nature, the diagnostic and prognostic signatures of HNSC remain poorly understood. This study was launched to identify signature genes and their signaling pathways related to the development of HNSC. In the current study, we retrieved the GSE53819 dataset from the Gene Expression Omnibus (GEO) database to determine the differentially expressed genes (DEGs) using the "Limma" R package. Adjusted P values P < 0.05 and |logFC| ≥ 1 were selected as the filtering conditions. To identify hub genes, the protein-protein interaction (PPI) network construction of the DEGs was performed using STRING. We further used UALCAN, GEPIA, OncoDB, GENT2, MEXPRESS, and HPA databases for the expression, validation, survival, and methylation analyses of the hub genes. The cBioPortal tool was used to investigate the genetic alterations in hub genes. CancerSEA, TIMER, DAVID, ENCORI, and DrugBank were also used to explore a few more hub gene-associated parameters. Lastly, HOK, FaDu, and SCC25 cell lines were used to validate hub gene expression via RNA sequencing (RNA-seq) technique. A total of top 250 DEGs were selected for detailed analysis in this study. From these DEGs, prognostic and diagnostic associated four hub genes, which could serve as potential molecular biomarkers and therapeutic targets in HNSC patients were identified. Four hub genes, including down-regulated DNAH1 and DNALI1, while up-regulated DNAH9 and CCDC151 were strongly implicated in HNSC. We also validated the same expression pattern of the hub genes using RNA-seq analysis in HNSC and normal cell lines. Moreover, this study also revealed some novel links between DNAH1, DNALI1, DNAH9, and CCDC151 expression and genetic alterations, promoter methylation status, immune cell infiltration, miRNAs, gene enrichment terms, and various chemotherapeutic drugs. In conclusion, we indicated four hub genes (DNAH1, DNALI1, DNAH9, and CCDC151) and their associated signaling pathways, which may improve our understanding of HNSC and could be used as new therapeutic targets.

Cytotoxic, Antidiabetic, and Antioxidant Study of Biogenically Improvised Elsholtzia blanda and Chitosan-Assisted Zinc Oxide Nanoparticles.

In the present study, we have improvised a biogenic method to fabricate zinc oxide nanoparticles (ZnO NPs) using chitosan and an aqueous extract of the leaves of Elsholtzia blanda. Characterization of the fabricated products was carried out with the help of ultraviolet-visible, Fourier transform infrared, X-ray diffraction, field emission scanning electron microscopy, high-resolution transmission electron microscopy, selected area electron diffraction, and energy-dispersive X-ray analyses. The size of the improvised ZnO NP measured between 20 and 70 nm and had a spherical and hexagonal shape. The ZnO NPs proved to be highly effective in the antidiabetic test as the sample showed the highest percentage of enzyme inhibition at 74% ± 3.7, while in the antioxidant test, 78% was the maximum percentage of 2,2-diphenyl-1-picrylhydrazyl hydrate scavenging activity. The cytotoxic effect was investigated against the human osteosarcoma (MG-63) cell line, and the IC50 value was 62.61 µg/mL. Photocatalytic efficiency was studied by the degradation of Congo red where 91% of dye degradation was observed. From the various analyses, it can be concluded that the as-synthesized NPs may be suitable for various biomedical applications as well as for environmental remediation.

Mediterranean diet, mental health, cognitive status, quality of life, and successful aging in southern Italian older adults.

Healthy successful aging with preserved mental and cognitive health is expected to be one of the most important challenges of the growing old population globally. Studies investigating these multi-dimensional aspects of senescence are important to identify potential targets for early prevention. The aim of this study was to investigate the relation between adherence to the Mediterranean diet and mental and cognitive health, quality of life, and successful aging in middle-age and older adults living in Sicily, southern Italy. Data from a sample of 883 individuals was collected including information on food intake (through a 110-item food frequency questionnaire), sleep quality (through the Pittsburgh sleep quality index) depressive symptoms (through the Center for the Epidemiological Studies of Depression Short Form), quality of life (through the Manchester Short Assessment of Quality of Life), cognitive status (through the Short Portable Mental Status Questionnaire), and overall successful aging (through the Successful Aging Index). Multivariate logistic regression analyses were conducted to assess the association between adherence to the Mediterranean diet and the outcomes investigated. After adjustment for potential confounding factors, individuals in the highest quartile of adherence to the Mediterranean diet were less likely to have cognitive impairment (OR = 0.19, 95 % CI: 0.04, 0.86), depressive symptoms (OR = 0.19, 95 % CI: 0.08, 0.46) and more likely to have good quality of life (OR = 14.04, 95 % CI: 6.81, 28.93); significant results were also found for individuals in the third quartile of Mediterranean diet adherence and good sleep quality (OR = 1.65, 95 % CI: 1.03, 2.64). Moreover, individuals in the highest quartile of adherence were more likely to have a successful aging (OR = 1.65, 95 % CI: 1.01, 2.68). In conclusion, this study supports the hypothesis that adherence to the Mediterranean diet provides a positive trajectory toward a healthy successful aging, with major potential benefits toward mental and cognitive health.