Gum arabic (GA) is a natural product commonly used as a household remedy for treating various diseases in the Sub-Saharan Africa region. Despite its claimed benefits, there has been a lack of research on the findings of current clinical trials (CTs) that investigated its efficacy in the treatment of various medical diseases. The aim of this systematic review was to study CTs which focused on GA and its possible use in the management of various medical diseases. A search of the extant literature was performed in the PubMed, Scopus, and Cochrane databases to retrieve CTs focusing on evidence-based clinical indications. The databases were searched using the keywords (“Gum Arabic” OR “Acacia senegal” OR “Acacia seyal” OR “Gum Acacia” OR “Acacia Arabica”) AND (“Clinical Trial” OR “Randomized Controlled Trial” OR “Randomized Clinical Trial”). While performing the systematic review, data were obtained on the following parameters: title, authors, date of publication, study design, study aim, sample size, type of intervention used, targeted medical diseases, and main findings. Twenty-nine papers were included in this systematic review. The results showed that ingestion of GA altered lipid profiles, renal profiles, plaque, gingival scores, biochemical parameters, blood pressure, inflammatory markers, and adiposity. GA exhibited anti-inflammatory, prebiotic, and antibacterial properties. GA has been successfully used to treat sickle cell anemia, rheumatoid arthritis, metabolic disorders, periodontitis, gastrointestinal conditions, and kidney diseases. Herein, we discuss GA with respect to the underlying mechanisms involved in each medical disease, thereby justifying GA’s future role as a therapeutic agent.

The incorporation of digital health into the medical curricula is becoming more important to better prepare doctors in the future. Digital health comprises a wide range of tools such as electronic health records, health information technology, telemedicine, telehealth, mobile health applications, wearable devices, artificial intelligence, and virtual reality. The present study aimed to explore the medical and biomedical students’ perspectives on the integration of digital health in medical curricula. A cross-sectional study was conducted on the medical and biomedical undergraduate students at the College of Medicine and Health Sciences at Sultan Qaboos University. Data was collected using a self-administered questionnaire. The response rate was 37%. The majority of respondents were in the MD (Doctor of Medicine) program (84.4%), while 29 students (15.6%) were from the BMS (Biomedical Sciences) program. A total of 55.38% agreed that they were familiar with the term ‘e-Health’. Additionally, 143 individuals (76.88%) reported being aware of the definition of e-Health. Specifically, 69 individuals (37.10%) utilize e-Health technologies every other week, 20 individuals (10.75%) reported using them daily, while 44 individuals (23.66%) indicated that they never used such technologies. Despite having several benefits, challenges exist in integrating digital health into the medical curriculum. There is a need to overcome the lack of infrastructure, existing educational materials, and digital health topics. In conclusion, embedding digital health into medical curricula is certainly beneficial for creating a digitally competent healthcare workforce that could help in better data storage, help in diagnosis, aid in patient consultation from a distance, and advise on medications, thereby leading to improved patient care which is a key public health priority.

Introduction: It is always a daunting task to treat urinary tract infection (UTI) as these infections may be chronic or lead to complications and drug resistance. The bacteria form a biofilm, which results in the failure of the antibiotics. The common organisms include Escherichia coli, Klebsiella, and Enterococcus. Gepotidacin is considered to be the first-in-class oral triazaacenaphthylene bacterial topoisomerase inhibitor (NBTI). Recently, it was approved by the FDA for treating uncomplicated urinary tract infections in females aged 12 years and older. This literature review aims to evaluate current evidence on the clinical efficacy, safety, dosing, and resistance profile of gepotidacin in the treatment of urinary tract infections. Methods: A literature search was conducted using PubMed, Cochrane Library, Google Scholar, and Scopus to identify original and review articles published from 1990 to the present. The search was refined using the keywords: Gepotidacin, drug, DNA gyrase inhibitor, antibiotic, broad spectrum, and UTI. Results: In this mini-review, we discuss the recently approved drug gepotidacin and highlight its action in UTIs. The drug acts on the enzyme targets such as DNA gyrase and topoisomerase IV, thereby inhibiting the DNA replication of bacteria. Interestingly, the drug acts on both Gram-positive and Gram-negative bacteria. Discussion: The efficacy of gepotidacin against common uropathogens makes it a popular choice for treating urinary tract and urogonorrheal infections. The drug is well-tolerated with fewer side effects and is hence considered to be safe. Conclusion: Considering the cases of antibiotic resistance and novel mechanisms of action, the broad-spectrum action of gepotidacin may be beneficial in treating UTIs.

Background: Accurate sex estimation from skeletal remains is essential in forensic identification, yet population-specific reference data for cervical vertebrae, particularly the first cervical vertebra (C1), are limited. This lack of data compromises the accuracy of sex estimation in forensic contexts where primary skeletal elements such as skull and pelvis are unavailable. Geometric morphometric (GM) analysis offers a robust alternative by quantifying shape variation independent of size, enabling precise assessment of morphological differences that conventional linear measurements may overlook. Objective: This study aimed to investigate the utility of C1 vertebra morphology for sex estimation among Omani adults using two-dimensional geometric morphometrics. Methods: A total of 320 lateral cervical radiographs (160 males, 160 females) were retrospectively collected from Sultan Qaboos University Hospital. Six anatomical landmarks on the atlas were digitized using TPSDig2, and shape analyses were performed using MorphoJ software. Statistical methods included Principal Component Analysis (PCA), Procrustes ANOVA, Canonical Variate Analysis (CVA), and Discriminant Function Analysis (DFA). Intra- and inter-observer reliability was also assessed. Results: While centroid size did not significantly differ between sexes (p = 0.2432), shape analysis revealed statistically significant sexual dimorphism (p = 0.0457). DFA correctly classified 77.19% of individuals by sex, with a cross-validated accuracy of 73.44%. Shape variation was most pronounced in the posterior tubercle and superior facets of the atlas. Conclusions: Two-dimensional geometric morphometric analysis of the first cervical vertebra (C1) reliably captures sexual dimorphism in the Omani population, providing a population-specific reference that enhances the accuracy and objectivity of forensic sex estimation.

Background: This cross-sectional study was conducted among adult Omani patients with a confirmed laboratory diagnosis of COVID-19 to determine the prevalence of dizziness, tinnitus and headache in the pre-, during and post-COVID-19 recovery phases. Methodology: The characteristics and severity of symptoms of dizziness, tinnitus and headache in the above three phases were determined by telephone interviews. The severity of symptoms was recorded using the visual analog score. Results: The total number of patients selected was n = 102 (M/F 50/50%; overall mean age = 33.52 ± 3.6 years). The pre-COVID-19 prevalence of dizziness was 16%, tinnitus 13% and headache 53%. During COVID, the prevalence of dizziness increased to 41%; for tinnitus, it remained the same; and for headache, it increased to 73%. Compared to the lower age group category (30–32 years); the pre-COVID-19 prevalence of dizziness was significantly higher in the 33–40 years age group. The severity of symptoms showed a significant correlation in different phases, pre- and post-COVID-19, for dizziness (r = 0.556), tinnitus (r = 0.714) and headache (r = 0.696), and tinnitus during and post-COVID-19 (r = 0.570). Conclusion: The prevalence of dizziness, tinnitus and headaches was high in COVID-19 patients. All symptoms pre-COVID-19 and during COVID-19 persisted post-COVID-19.