Levofloxacin loaded chitosan and poly-lactic-co-glycolic acid nano-particles against resistant bacteria: Synthesis, characterization and antibacterial activity.

BACKGROUND: With the global increase in antibacterial resistance, the challenge faced by developing countries is to utilize the available antibiotics, alone or in combination, against resistant bacterial strains. We aimed to encapsulate the levofloxacin (LVX) into polymeric nanoparticles using biodegradable polymers i.e. Chitosan and PLGA, estimating their physicochemical characteristics followed by functional assessment as nanocarriers of levofloxacin against the different resistant strains of bacteria isolated from biological samples collected from tertiary care hospital in Lahore, Pakistan. METHODS: LVX-NPs were synthesized using ion gelation and double emulsion solvent-evaporation method employing chitosan (CS) and poly-lactic-co-glycolic acid (PLGA), characterized via FTIR, XRD, SEM, and invitro drug release studies, while antibacterial activity was assessed using Kirby-Bauer disc-diffusion method. RESULTS: Data revealed that the levofloxacin-loaded chitosan nanoparticles showed entrapment efficiency of 57.14% ± 0.03 (CS-I), 77.30% ± 0.08(CS-II) and 87.47% ± 0.08 (CS-III). The drug content, particle size, and polydispersity index of CS-I were 52.22% ± 0.2, 559 nm ± 31 nm, and 0.030, respectively, whereas it was 66.86% ± 0.17, 595 nm ± 52.3 nm and 0.057, respectively for CS-II and 82.65% ± 0.36, 758 nm ± 24 nm and 0.1, respectively for CS-III. The PLGA-levofloxacin nanoparticles showed an entrapment efficiency of 42.80% ± 0.4 (PLGA I) and 23.80% ± 0.4 (PLGA II). The drug content, particle size and polydispersity index of PLGA-I were 86% ± 0.21, 92 nm ± 10 nm, and 0.058, respectively, whereas it was 52.41% ± 0.45, 313 nm ± 32 nm and 0.076, respectively for PLGA-II. The XRD patterns of both polymeric nanoparticles showed an amorphous nature. SEM analysis reflects the circular-shaped agglomerated nanoparticles with PLGA polymer and dense spherical nanoparticles with chitosan polymer. The in-vitro release profile of PLGA-I nanoparticles showed a sustained release of 82% in 120 h and it was 58.40% for CS-III. Both types of polymeric nanoparticles were found to be stable for up to 6 months without losing any major drug content. Among the selected formulations, CS-III and PLGA-I, CS-III had better antibacterial potency against gram+ve and gram-ve bacteria, except for K. pneumonia, yet, PLGA-I demonstrated efficacy against K. pneumonia as per CSLI guidelines. All formulations did not exhibit any signs of hemotoxicity, nonetheless, the CS-NPs tend to bind on the surface of RBCs. CONCLUSION: These data suggested that available antibiotics can effectively be utilized as nano-antibiotics against resistant bacterial strains, causing severe infections, for improved antibiotic sensitivity without compromising patient safety.

Improving Access to Anti-HDV Testing: Development and Validation of an Affordable In-House ELISA Assay.

In certain low-income nations, the hepatitis Delta virus and hepatitis B virus (HBV) pose a serious medical burden, where the prevalence of hepatitis B surface antigen (HBsAg) is greater than 8%. Especially in rural places, irregular diagnostic exams are the main restriction and reason for underestimation. Utilizing serum samples from a Pakistani isolate, an internal ELISA for the quick identification of anti-HDV was created, and the effectiveness of the test was compared to a commercial diagnostic kit. HDV-positive serum samples were collected, and a highly antigenic domain of HDAg antigen was derived from them. This antigenic HDAg was expressed in a bacterial expression system, purified by Ni-chromatography, and confirmed by SDS-PAGE and Western blot analysis. The purified antigen was utilized to develop an in-house ELISA assay for anti-HDV antibody detection of the patient's serum samples at very low cost. Purified antigens and positive and negative controls can detect anti-HDV (antibodies) in ELISA plates. The in-house developed kit's efficiency was compared with that of a commercial kit (Witech Inc., USA) by the mean optical density values of both kits. No significant difference was observed (a P value of 0.576) by applying statistical analysis. The newly developed in-house ELISA is equally efficient compared to commercial kits, and these may be useful in regular diagnostic laboratories, especially for analyzing local isolates.

Advanced machine learning approach for DoS attack resilience in internet of vehicles security.

Recent years have witnessed security as a great concern in vehicular networks (VANET). Particularly, Denial of Service (DoS) and Distributed Denial of Service (DDoS) attacks can jeopardize the network by broadcasting a storm of packets. Correspondingly, the network resources are jammed with malicious traffic. In this connection, the existing research presented various techniques to cope with DoS and DDoS attacks. Different from those traditional approaches, this study proposes an Intelligent Intrusion Detection System (IDS) by leveraging Machine Learning (ML). The proposed IDS utilizes a publicly available dataset on the application layer for mitigating DDoS attacks. The designed ML-based IDS relies on combining both the Random Projection (RP) and Randomized Matrix Factorization (RMF) methods to achieve the best results for enhancing the detection capabilities of the IDS. This amalgamation enhances the system's detection capabilities by extracting and analyzing meaningful features from network traffic data. Experimental validation of our approach involves a comprehensive evaluation of various ML models, including Extra Tree Classifier (ETC), Logistic Regression (LR), and Random Forest (RF). Remarkably, the combined accuracy of these models yields an average system accuracy of 0.98, surpassing existing methods. Unlike conventional approaches, our proposed IDS excels in efficiency and exhibits notable performance in detecting DoS and DDoS attacks in VANET. This proficiency ensures the integrity and safety of vehicle communications. Thus, our research substantially contributes to the vehicular network security field. The presented findings establish a foundation for future advancements in securing connected vehicles.

Investigating the synergistic effects of biochar, trans-zeatin riboside, and Azospirillum brasilense on soil improvement and enzymatic activity in water-stressed wheat.

BACKGROUND: Water stress is a major danger to crop yield, hence new approaches to strengthen plant resilience must be developed. To lessen the negative effects of water stress on wheat plants, present study was arranged to investigate the role of synergistic effects of biochar, trans-zeatin riboside (t-ZR), and Azospirillum brasilense on soil improvement and enzymatic activity in water-stressed wheat. RESULTS: In a three-replication experiment comprising of four treatments (T0: Control, T1: Drought stress (DS), T2: DS + t-ZR with biochar, T3: DS + A. brasilense with biochar), we observed notable improvements in soil quality and enzymatic activities in water-stressed wheat plants with the application of t-ZR and A. brasilense with biochar. In drought stress, Treatment having the application of A. brasilense with biochar performs best as compared to the other and significant increased the enzymatic activities such as peroxidase (7.36%), catalase (8.53%), superoxide dismutase (6.01%), polyphenol oxidase (14.14%), and amylase (16.36%) in wheat plants. Different enzymatic activities showed different trends of results. Soil organic C, dissolved organic C, dissolved organic N also enhanced 29.46%, 8.59%, 22.70% respectively with the application of A. brasilense with biochar under drought stress condition. CONCLUSIONS: The synergistic action of A. brasilense and biochar creates an effective microbiological environment that supports essential plant physiological processes during drought stress. This enhancement is attributed to improved soil fertility and increased organic matter content, highlighting the potential of these novel strategies in mitigating water stress effects and enhancing crop resilience.

Integrating MDT Tumor Board Shadowing into the Undergraduate Medical Curriculum: Perspective of Medical Students.

Site-specific multidisciplinary team (MDT) tumor boards are valuable resources for medical students, enabling them to familiarize themselves with the latest evidence-based cancer management strategies and observe effective teamwork in action. In this study, we looked at the awareness and perceptions of medical students about incorporating MDT tumor boards in the medical curriculum. A cross-sectional study was conducted among medical students from year 1 to year 5 at the Aga Khan University after exemption from ethical review committee. A 20-item self-administered questionnaire was used to evaluate the awareness and perceptions of medical students regarding MDT tumor boards. A total of 285 medical students participated in this study, with their mean age (± standard deviation) being 21.91 ± 1.67 years. A majority of 183 (64.2%) had no prior knowledge of the existence of a site-specific MDT tumor board for cancer management. Of the 285 students, 252 (88.4%) demonstrated sufficient awareness of the effectiveness of MDT tumor boards; similarly, 232 (81.4%) responded positively to the idea of mandatory tumor board rotations being incorporated into the undergraduate curriculum. No significant association was found between the student's year of study (χ2 = 6.03, p = 0.20) or gender (χ2 = 35, p = 0.84) and their perceptions of the effectiveness of MDT tumor boards. However, it was found that students who had prior knowledge of their existence had a stronger association with sufficient awareness (χ2 = 4.2, p = 0.04). The results indicate that while the majority of the medical students have no prior attendance or knowledge regarding MDT tumor boards, there is an overwhelming willingness among students to incorporate them into the medical curriculum.

Development, optimization and characterization of cisplatin loaded cubosomes for human lung carcinoma.

OBJECTIVES: This study aimed to develop, optimize and evaluate glyceryl monooleate (GMO) based cubosomes as a drug delivery system containing cisplatin for treatment of human lung carcinoma. SIGNIFICANCE: The significance of this research was to successfully incorporate slightly water soluble and potent anticancer drug (cisplatin) into cubosomes, which provide slow and sustained release of drug for longer period of time. METHODS: The delivery system was developed through top-down approach by melting GMO and poloxamer 407 (P407) at 70 °C and then drop-wise addition of warm deionized water (70 °C) containing cisplatin. The formulation then exposed to probe sonicator for about 2 min. A randomized regular two level full factorial design with help of Design Expert was used for optimization of blank cubosomal formulations. Cisplatin loaded cubosomes were then subjected to physico-chemical characterization. RESULTS: The characterization of the formulation revealed that it had a sufficient surface charge of -9.56 ± 1.33 mV, 168.25 ± 5.73 nm particle size, and 60.64 ± 0.11% encapsulation efficiency. The in vitro release of cisplatin from the cubosomes at pH 7.4 was observed to be sustained, with 94.5% of the drug being released in 30 h. In contrast, 99% of cisplatin was released from the drug solution in just 1.5 h. In vitro cytotoxicity assay was conducted on the human lung carcinoma NCI-H226 cell line, the cytotoxicity of cisplatin-loaded cubosomes was relative to that of pure cisplatin solution, while blank (without cisplatin) cubosomes were nontoxic. CONCLUSIONS: The obtained results demonstrated the successful development of cubosomes for sustained delivery of cisplatin.

Cubosomes were prepared, optimized, and evaluated for cisplatin delivery.A randomized regular two level full factorial design was constructed to optimize blank cubosomes.Blank cubosomes consisted of GMO as the lipid and P407 as an emulsifying agent.In vitro release studies demonstrated sustained release of cisplatin from cubosomes at pH 7.4.Cytotoxicity assay on human lung carcinoma cell line NCI-H226 showed similar cytotoxicity between cisplatin-loaded cubosomes and pure cisplatin solution while blank cubosomes exhibited no toxicity.

Synthesis of 3-hydroxy-2-naphthohydrazide-based hydrazones and their implications in diabetic management via in vitro and in silico approaches.

Diabetes mellitus (DM) has prevailed as a chronic health condition and has become a serious global health issue due to its numerous consequences and high prevalence. We have synthesized a series of hydrazone derivatives and tested their antidiabetic potential by inhibiting the essential carbohydrate catabolic enzyme, "α-glucosidase." Several approaches including fourier transform infrared, 1 H NMR, and 13 C NMR were utilized to confirm the structures of all the synthesized derivatives. In vitro analysis of compounds 3a-3p displayed more effective inhibitory activities against α-glucosidase with IC50 in a range of 2.80-29.66 µM as compared with the commercially available inhibitor, acarbose (IC50 = 873.34 ± 1.67 M). Compound 3h showed the highest inhibitory potential with an IC50 value of 2.80 ± 0.03 µM, followed by 3i (IC50 = 4.13 ± 0.06 µM), 3f (IC50 = 5.18 ± 0.10 µM), 3c (IC50 = 5.42 ± 0.11 µM), 3g (IC50 = 6.17 ± 0.15 µM), 3d (IC50 = 6.76 ± 0.20 µM), 3a (IC50 = 9.59 ± 0.14 µM), and 3n (IC50 = 10.01 ± 0.42 µM). Kinetics analysis of the most potent compound 3h revealed a concentration-dependent form of inhibition by 3h with Ki value = 4.76 ± 0.0068 µM. Additionally, an in silico docking approach was applied to predict the binding patterns of all the compounds, which indicates that the hydrazide and the naphthalene-ol groups play a vital role in the binding of the compounds with the essential residues (i.e., Glu277 and Gln279) of the α-glucosidase enzyme.

Acute Oral Mucositis During Hypo-Fractionated Radiation in Squamous Cell Carcinoma of Oral Cavity.

Oral mucositis remains a concern in the treatment of head and neck malignancies. This small study included 11 patients treated by hypo-fractionated radiotherapy and assessed for oral mucositis. All patients received a radiation dose of 55 Gy in 20 fractions (2.75 Gy/fraction). At the end of the first week of radiation, three patients had Grade I oral mucositis. During the last week of radiation, most of the patients developed Grade II and III mucositis, 7 (64%) and 4 (36%), respectively. At one month follow-up, 5 (46%) of them had Grade I, while 2 (18%) had developed Grade II mucositis. At three months, 2 (18%) had Grade I mucositis, and none of the patients showed Grade II/III oral mucositis. Grade II oral mucositis was the most common grade found mainly in the last week of radiation therapy. None had Grade IV oral mucositis. Key Words: Acute oral mucositis, Hypo-fractioned radiation, Oral carcinoma.

Docetaxel-Loaded Methoxy poly(ethylene glycol)-poly (L-lactic Acid) Nanoparticles for Breast Cancer: Synthesis, Characterization, Method Validation, and Cytotoxicity.

This study aimed to synthesize and characterize DTX-mPEG-PLA-NPs along with the development and validation of a simple, accurate, and reproducible method for the determination and quantification of DTX in mPEG-PLA-NPs. The prepared NPs were characterized using AFM, DLS, zetasizer, and drug release kinetic profiling. The RP-HPLC assay was developed for DTX detection. The cytotoxicity and anti-clonogenic effects were estimated using MTT and clonogenic assays, respectively, using both MCF-7 and MDA-MB-231 cell lines in a 2D and 3D culture system. The developed method showed a linear response, high precision, accuracy, RSD values of ≤2%, and a tailing factor ≤2, per ICH guidelines. The DTX-mPEG-PLA-NPs exhibited an average particle size of 264.3 nm with an encapsulation efficiency of 62.22%. The in vitro drug kinetic profile, as per the Krosmeyers-Peppas model, demonstrated Fickian diffusion, with initial biphasic release and a multistep sustained release over 190 h. The MTT assay revealed improved in vitro cytotoxicity against MCF-7 and MDA-MB-231 in the 2D cultures and MCF-7 3D mammosphere cultures. Significant inhibitions of the clonogenic potential of MDA-MB-231 were observed for all concentrations of DTX-mPEG-PLA-NPs. Our results highlight the feasibility of detecting DTX via the robust RP-HPLC method and using DTX-mPEG-PLA-NPs as a perceptible and biocompatible delivery vehicle with greater cytotoxic and anti-clonogenic potential, supporting improved outcomes in BC.

A Step towards Personalised Cancer Treatment in Lower Middle-income Countries (LMICS): Molecular Tumour Boards.

Tumour boards are meetings where physicians from various disciplines treating cancer patients meet to recommend evidence-based or the best possible treatment plan. These meetings have evolved with time and now, in every part of the world; site-specific multi-disciplinary tumour boards are established. These meetings are considered pivotal for improving patient outcomes. The advances in molecular and genetic knowledge and technique and their integration in treatment options have paved the way for multiple therapeutic options. However, the adoption of personalised treatment choices is associated with a huge financial burden, especially in low and middle-income countries (LMICs). A molecular tumour board can help to identify and suggest the most appropriate plan of management. Key Words: Molecular, Genetics, Personalised, Challenges.

Clinical efficacy of Platelet-Rich Plasma versus local Methylprednisolone Injection in Lateral Epicondylitis.

Objective: To compare the results of local administration of platelet-rich plasma (PRP) with methylprednisolone in the treatment of tennis elbow. Methods: This retrospective cohort was conducted at Jinnah Postgraduate Medical Center (JPMC) during January 2017 to April 2018. Patients conservatively managed for lateral epicondylitis with local methylprednisolone injection or PRP injection were approached for possible inclusion in the study at 12 months of treatment. The primary outcome of the study was to determine the Numerical Pain Rating Score (NPRS) on resisted wrist extension. Whereas, the secondary outcomes were quick disability arm, shoulder, and hand score (qDASH), the grip strength and VAS for satisfaction. The baseline, six weeks and three month data on Grip strength, NPRS, and qDASH were extracted from the patients' medical records maintained at the hospital. The data were analyzed by using SPSS software. Results: A total of 91 patients were approached, of them 81 (89.01%) agreed to participate. There were 46 (56.79%) who received local methylprednisolone injection and 35 (43.20%) received PRP. At 12 months follow up, there was no difference in NPRS pain scores between the two groups (p=0.691); pain decreased in both groups at six weeks and at 12 months. There was no significant difference in the functional outcome (qDASH score) in both groups. Both groups were equally satisfied with the treatment they had received. Conclusion: The study concluded that there is no difference between outcome and efficacy of both treatment modalities used for the treatment of tennis elbow in alleviating pain at 12 months.

Achieving model explainability for intrusion detection in VANETs with LIME.

Vehicular ad hoc networks (VANETs) are intelligent transport subsystems; vehicles can communicate through a wireless medium in this system. There are many applications of VANETs such as traffic safety and preventing the accident of vehicles. Many attacks affect VANETs communication such as denial of service (DoS) and distributed denial of service (DDoS). In the past few years the number of DoS (denial of service) attacks are increasing, so network security and protection of the communication systems are challenging topics; intrusion detection systems need to be improved to identify these attacks effectively and efficiently. Many researchers are currently interested in enhancing the security of VANETs. Based on intrusion detection systems (IDS), machine learning (ML) techniques were employed to develop high-security capabilities. A massive dataset containing application layer network traffic is deployed for this purpose. Interpretability technique Local interpretable model-agnostic explanations (LIME) technique for better interpretation model functionality and accuracy. Experimental results demonstrate that utilizing a random forest (RF) classifier achieves 100% accuracy, demonstrating its capability to identify intrusion-based threats in a VANET setting. In addition, LIME is applied to the RF machine learning model to explain and interpret the classification, and the performance of machine learning models is evaluated in terms of accuracy, recall, and F1 score.

Evaluation of exosomes encapsulated recombinant Interleukin-29 for its in vitro anticancer studies.

Exosomes have recently been considered ideal biotherapeutic nanocarriers that broaden the frontiers of current drug delivery systems to overcome the shortcomings associated with cytokine-based immunotherapy. Using this approach, the current study aimed to assess anti-proliferative activity of purified IL-29 and exosomes encapsulated IL-29. The IL-29+pET-28a construct was transformed into Rosetta 2(DE3) cells which was used for the large-scale production of IL-29. Exosomes isolated from H1HeLa, and SF-767 cells using Total Exosome Isolation reagent were loaded with IL-29 via sonication. Isolation of exosomes was validated using their core protein signature by western blotting and specific miRNA profiles by RT-PCR. The drug loading efficiency of exosomes derived from H1HeLa cells was higher than that of SF-767-derived exosomes. The drug release kinetics of IL-29 encapsulated exosomes exhibited stable release of the recombinant drug. Around 50% of all cancer cell lines survived when IL-29 was administered at a concentration of 20 µg/mL. A survival rate of less than 10% was observed when cells were treated with 20 µg/mL IL-29 loaded exosomes. It was concluded that IL-29 loaded exosomes had a more significant cytotoxic effect against cancer cells, which might be attributed to sustained drug release, improved half-life, superior targeting efficacy, capacity to harness endogenous intracellular trafficking pathways, and heightened biocompatibility of exosomes.

Outcomes Of Reconstruction With Vascularized Vs Non Vascularized Bone Graft After Resection Of Bone Tumours- A Systematic Review And Meta-Analysis.

BACKGROUND: Vascularized (VBG) and non-vascularized (NVBG) bone grafting are two crucial biological reconstructive techniques in the management of bone tumours. The objective of this study is to compare the outcomes of reconstruction with vascularized and non-vascularized bone grafts after resection of bone tumours. METHODS: A systematic evaluation of the literature from 2012-2021 was undertaken using the online databases PubMed/Medline, Google Scholar, and Cochrane Library considering only comparative articles with specific outcomes for the restoration of the defect with vascularized and non-vascularized bone graft following the resection of bone tumours. The quality of the research methodology was evaluated using Oxford Quality Scoring System and Newcastle Ottawa Scale for randomized trials and non-randomized comparison research respectively. The SPSS version 23 was used to examine the data that was collected. Musculoskeletal tumour society score (MSTS), bone union time, and complications were the outcomes of this review. RESULTS: Four clinical publications were considered, totalling 178 participants (92 men and 86 women) with 90 patients with VBG and 88 with NVBG. MSTS score and bone union time were the key outcomes that were measured. The overall MSTS (p>0.05) and rate of complications (p>0.05) results were comparable between the two groups, however, VBG had a better rate of bone union (p<0.001). CONCLUSIONS: As a result of the quicker bone union, our systematic evaluation demonstrated that VBG causes earlier recovery. Complication rates and functional results were the same in both groups. The link between the bone union time and functional score following VBG and NVBG must also be demonstrated.

Computational Modeling, High-Level Soluble Expression and In Vitro Cytotoxicity Assessment of Recombinant Pseudomonas aeruginosa Azurin: A Promising Anti-Cancer Therapeutic Candidate.

Azurin is a natural protein produced by Pseudomonas aeruginosa that exhibits potential anti-tumor, anti-HIV, and anti-parasitic properties. The current study aimed to investigate the potential of azurin protein against breast cancer using both in silico and in vitro analyses. The amino acid sequence of Azurin was used to predict its secondary and tertiary structures, along with its physicochemical properties, using online software. The resulting structure was validated and confirmed using Ramachandran plots and ERRAT2. The mature azurin protein comprises 128 amino acids, and the top-ranked structure obtained from I-TASSER was shown to have a molecular weight of 14 kDa and a quality factor of 100% by ERRAT2, with 87.4% of residues in the favored region of the Ramachandran plot. Docking and simulation studies of azurin protein were conducted using HDOCK and Desmond servers, respectively. The resulting analysis revealed that Azurin docked against p53 and EphB2 receptors demonstrated maximum binding affinity, indicating its potential to cause apoptosis. The recombinant azurin gene was successfully cloned and expressed in a BL21 (DE3) strain using a pET20b expression vector under the control of the pelB ladder, followed by IPTG induction. The azurin protein was purified to high levels using affinity chromatography, yielding 70 mg/L. In vitro cytotoxicity assay was performed using MCF-7 cells, revealing the significant cytotoxicity of the azurin protein to be 105 µg/mL. These findings highlight the potential of azurin protein as an anticancer drug candidate.