Background: The issue of antibiotic resistance has become a global public health concern, with an extensive clinical and economic burden. The study aimed to assess the knowledge, attitude, and practices of antibiotic resistance among undergraduate medical students at the University of Zambia.Methods: This cross-sectional study was conducted at the University of Zambia Ridgeway Campus. A structured questionnaire was administered to 260 randomly selected undergraduate medical students. Data were analyzed using Statistical Package for Social Sciences (SPSS) version 22.0. Associations between dependent and independent variables were done using a Chi-square test. The statistical significance was done at 95% confidence level (p<0.05). Ethical approval was done by the University of Zambia Health Sciences Research Ethics Committee.Results: The study found that 227 of 260 (87.3%) of the medical students had good knowledge on antibiotic use and resistance. The majority of the medical students 252 of 260 (96.9%) had positive attitudes and 195 of 260 (75%) had good practices towards antibiotic resistance. There was a significant difference between the year of study and the level of knowledge (χ2=16.333, p=0.003). There was no significant difference between the year of study and the attitude of the participants (χ2=4.061, p=0.398). A significant difference was found between the year of study and the practices of the respondents (χ2=10.926, p=0.027).Conclusions: The medical students had good knowledge, a positive attitude, and good practices towards antibiotic resistance. Final year students had higher levels of knowledge and attitude but lower levels of practice compared to other years of study.

Nanoencapsulation is an approach to circumvent shortcomings such as reduced bioavailability, undesirable side effects, frequent dosing and unpleasant organoleptic properties of conventional drug delivery systems. The process of nanoencapsulation involves the use of biomaterials such as surfactants and/or polymers, often in combination with charge inducers and/or ligands for targeting. The biomaterials selected for nanoencapsulation processes must be as biocompatible as possible. The type(s) of biomaterials used for different nanoencapsulation approaches are highlighted and their use and applicability with regard to haemo- and, histocompatibility, cytotoxicity, genotoxicity and carcinogenesis are discussed.

The current COVID-19 pandemic has tested the resolve of the global community with more than 35 million infections worldwide and numbers increasing with no cure or vaccine available to date. Nanomedicines have an advantage of providing enhanced permeability and retention and have been extensively studied as targeted drug delivery strategies for the treatment of different disease. The role of monocytes, erythrocytes, thrombocytes, and macrophages in diseases, including infectious and inflammatory diseases, cancer, and atherosclerosis, are better understood and have resulted in improved strategies for targeting and in some instances mimicking these cell types to improve therapeutic outcomes. Consequently, these primary cell types can be exploited for the purposes of serving as a “Trojan horse” for targeted delivery to identified organs and sites of inflammation. State of the art and potential utilization of nanocarriers such as nanospheres/nanocapsules, nanocrystals, liposomes, solid lipid nanoparticles/nano-structured lipid carriers, dendrimers, and nanosponges for biomimicry and/or targeted delivery of bioactives to cells are reported herein and their potential use in the treatment of COVID-19 infections discussed. Physicochemical properties, viz., hydrophilicity, particle shape, surface charge, composition, concentration, the use of different target-specific ligands on the surface of carriers, and the impact on carrier efficacy and specificity are also discussed.

Neurodegenerative disorders including Alzheimer’s, Parkinson’s, and dementia are chronic and advanced diseases that are associated with loss of neurons and other related pathologies. Furthermore, these disorders involve structural and functional defections of the blood–brain barrier (BBB). Consequently, advances in medicines and therapeutics have led to a better appreciation of various pathways associated with the development of neurodegenerative disorders, thus focusing on drug discovery and research for targeted drug therapy to the central nervous system (CNS). Although the BBB functions as a shield to prevent toxins in the blood from reaching the brain, drug delivery to the CNS is hindered by its presence. Owing to this, various formulation approaches, including the use of lipid-based nanocarriers, have been proposed to address shortcomings related to BBB permeation in CNS-targeted therapy, thus showing the potential of these carriers for translation into clinical use. Nevertheless, to date, none of these nanocarriers has been granted market authorization following the successful completion of all stages of clinical trials. While the aforementioned benefits of using lipid-based carriers underscores the need to fast-track their translational development into clinical practice, technological advances need to be initiated to achieve appropriate capacity for scale-up and the production of affordable dosage forms.

Introduction: Indiscriminate prescribing and using of antibiotics have led to the development of antimicrobial resistance (AMR). To reduce this problem, the World Health Organization (WHO) developed the "Access", "Watch", and "Reserve" (AWaRe) classification of antibiotics that promotes antimicrobial stewardship (AMS). In Zambia, there are gaps in practice regarding prescribing of antibiotics based on the AWaRe protocol. This study assessed antibiotic prescribing patterns in adult in-patients in selected primary healthcare hospitals in Lusaka, Zambia. Materials and Methods: This retrospective cross-sectional study was conducted using 388 patient medical files from September 2021 to November 2021, five primary healthcare hospitals namely; Chawama, Matero, Chilenje, Kanyama, and Chipata. Data analysis was performed using the Statistical Package for Social Sciences version 23.