6 research outputs found

    Phytochemical and antibacterial properties of <i>Diodia scandens</i> and <i>Phyllanthus amarus</i> on staphylococci isolated from patients in tertiary hospitals in Nigeria

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    Background: The rapidly growing use of herbal drugs or supplements in complementary and alternative medicine as substitute for orthodox medicine both in developed and developing countries is fast gaining ground. Aim: This study evaluated both qualitative and quantitative phytochemical constituents of Diodia scandens and Phyllanthus amarus vis-à-vis their synergistic effects on clinically isolated staphylococci. Methods: A total of 200 wounds and burns samples were obtained from patients in the accident and emergency unit of different tertiary hospitals. Staphylococci were isolated and characterised using standard microbiological procedures. Whole plants of D. scandens and P. amarus were Soxhlet extracted with absolute ethanol. The phytochemical analysis was carried out using standard methods. Also, the minimum inhibitory concentration and bactericidal effect of the combined extracts were determined. Results: The phytochemicals present in D. scandens include saponin (6.58%), tannin (2.27 mg/100g), alkaloids (10.53%) and phytin phosphorus (1.80 mg/g), while phytochemicals in P. amarus include saponin (9.99%), tannin (5.82 mg/100g), alkaloids (9.67%) and phytin phosphorus (2.44 mg/g), revealing their antibacterial properties and phytonutrients. The combination study showed that a synergistic effect exists between the two plants on the isolates tested compared with individual extracts alone at the concentrations used. Conclusion: It is noteworthy that the traditional use of these plants was not only confirmed but the combination of D. scandens and P. amarus also proved more effective as antibacterial agent compared with a previous study on the same plants using single determination

    The evolving SARS-CoV-2 epidemic in Africa: Insights from rapidly expanding genomic surveillance

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    INTRODUCTION Investment in Africa over the past year with regard to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) sequencing has led to a massive increase in the number of sequences, which, to date, exceeds 100,000 sequences generated to track the pandemic on the continent. These sequences have profoundly affected how public health officials in Africa have navigated the COVID-19 pandemic. RATIONALE We demonstrate how the first 100,000 SARS-CoV-2 sequences from Africa have helped monitor the epidemic on the continent, how genomic surveillance expanded over the course of the pandemic, and how we adapted our sequencing methods to deal with an evolving virus. Finally, we also examine how viral lineages have spread across the continent in a phylogeographic framework to gain insights into the underlying temporal and spatial transmission dynamics for several variants of concern (VOCs). RESULTS Our results indicate that the number of countries in Africa that can sequence the virus within their own borders is growing and that this is coupled with a shorter turnaround time from the time of sampling to sequence submission. Ongoing evolution necessitated the continual updating of primer sets, and, as a result, eight primer sets were designed in tandem with viral evolution and used to ensure effective sequencing of the virus. The pandemic unfolded through multiple waves of infection that were each driven by distinct genetic lineages, with B.1-like ancestral strains associated with the first pandemic wave of infections in 2020. Successive waves on the continent were fueled by different VOCs, with Alpha and Beta cocirculating in distinct spatial patterns during the second wave and Delta and Omicron affecting the whole continent during the third and fourth waves, respectively. Phylogeographic reconstruction points toward distinct differences in viral importation and exportation patterns associated with the Alpha, Beta, Delta, and Omicron variants and subvariants, when considering both Africa versus the rest of the world and viral dissemination within the continent. Our epidemiological and phylogenetic inferences therefore underscore the heterogeneous nature of the pandemic on the continent and highlight key insights and challenges, for instance, recognizing the limitations of low testing proportions. We also highlight the early warning capacity that genomic surveillance in Africa has had for the rest of the world with the detection of new lineages and variants, the most recent being the characterization of various Omicron subvariants. CONCLUSION Sustained investment for diagnostics and genomic surveillance in Africa is needed as the virus continues to evolve. This is important not only to help combat SARS-CoV-2 on the continent but also because it can be used as a platform to help address the many emerging and reemerging infectious disease threats in Africa. In particular, capacity building for local sequencing within countries or within the continent should be prioritized because this is generally associated with shorter turnaround times, providing the most benefit to local public health authorities tasked with pandemic response and mitigation and allowing for the fastest reaction to localized outbreaks. These investments are crucial for pandemic preparedness and response and will serve the health of the continent well into the 21st century

    Predictive evaluation of pediatric patients based on their typhoid fever status using linear discriminant model

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    Epidemiologic studies have established a relationship between pediatric patients and typhoid fever infection. This study was carried out to ascertain if specific hematological measurements of the pediatric patients dis- criminate between their positive and negative status to typhoid infection and to produce a rule for classifying other pediatric patients. Discriminant analysis was applied to predict the probability of a specific categorical outcome based on several explanatory variables (predictors). This study analyzed the differentiation between two hundred pediatric patients attending Landmark University Medical Centre based on their typhoid fever status. The hematological parameters considered were Packed Cell Volume, White Blood Cell count; Neutrophil, Erythrocyte level, Hemoglobin and Platelet count, Assay of samples were performed using standard procedures. Fisher’s Linear Discriminant Method was used for classification of variables in this study. With the use of the Fisher’s Linear Discrimination method for classification of the obtained data, a minimum value of −0.0067 was obtained implying that any new pediatric patient with a discriminant score above −0.0067 would be diagnosed to be typhoid negative; otherwise, they would be classified as typhoid positive pediatric patients. The efficiency of this method of classification was tested using two approaches; Retribution estimate approach and leaving-one out approach which showed a prevalence rate of typhoid positive patients at 75.8% and 74.7% respectively. This data analysis hypotheses that typhoid fever is highly endemic amongst our study subjects. A point-of-care di- agnosis with a strong positive predictive value, which improves pediatric enteric fever diagnosis, is strongly advocated

    Studies on the serological markers for hepatitis B virus infection among type 2 diabetic patients

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    Background: Hepatitis B infection is a public health concern globally. HBV can be as- sociated with type II diabetes mellitus, as HBV outbreaks have been observed among diabetics in healthcare facilities. This study evaluates the prevalence of HBV infec- tion among patients with type II diabetes mellitus. Method: A total of one hundred and eighty (180) diabetic patients and one-hundred non-diabetics (Controls) were recruited forthis study. Structured questionnaires were administered to the consented participants to obtain relevant data. Sera samples ob- tained were screened using the HBsAg ELISA kit; CTK Biotech, Inc, while the 5 panel kit—rapid diagnostic test, was used to assay for serological markers. Questionnaires were used to obtain relevant information and demographic data. Result: Overall prevalence of HBV infection among diabetes patients was 13.3%. Breakdown showed 9 (5.0%) seropositivity was obtained among male subjects com- pared to 15(8.3%) recorded among the females, P = .834; P < .05. Subjects aged 41-50 years recorded, 7(3.9%) positivity P = .774; P > .05. Educational status of par- ticipants showed 22 (12.2%) positivity among subjects with tertiary level of educa- tion P = .032; P < .05). Risk factors considered showed that 5(2.8%).seropositive subjects were alcoholic consumers (P value = .9711; P > .05). Result among non-di- abetics (Control) subjects showed (4%) seropositivity among the male subjects com- pared to (5.0%) seropositivity recorded among the female subjects (P = .739; P > .05). Conclusion: There is an indication of higher risk of HBV infection among type 2 dia- betic patients when compared to non-diabetics. There is the need for more research on this area of study, to further validate the association between HBV infection and Diabetes Mellitus

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