17 research outputs found

    Leucocytes, urea and glucose levels in Albino Wistar rats exposed to doses of isolated Achatina achatina snail lectin

    Get PDF
    There are five (5) types of mature White blood cells (WBC) or Leucocytes found in the peripheral blood viz, Neutrophils (NEU), Eosinophils (EOS) and Basophils (BAS) (granulocytes); Monocytes (MON) and Lymphocytes (LYM) (agranulocytes). Urea is an organic chemical compound, and is essentially the waste produced by the body after metabolizing protein. Urea levels can be used to detect diseases and disorders that affect the kidneys. A common disease related to irregular management of glucose is diabetes. Lectins are proteins that recognize specifically and bind reversibly the carbohydrate-containing molecules of foreign cells and that elicit diverse physiological responses in various organisms. A total of 120 samples of Nigeria Achatina achatina snail specie were collected, authenticated at the Zoology Department of University of Nigeria, Nsukka and 80mls of pooled crude Lectin extract was obtained. Purifications were performed on 20mls of the crude extract in three steps viz, Ammonium sulphate precipitation and Dialysis (Partial purifications), Con A Sepharose 4B affinity Chromatography column (Complete purification). The affinity purified Lectin was used for all the tests conducted in this research. The crude, partially and complete/affinity purified Lectin extracts were subjected to Haemagglutination tests. The Lectin was further assessed to determine its effects on Leucocytes, Urea and Glucose as follows: A total of Thirty-five (35) male Albino Wistar Rats weighing 101-180g and aged 2-3 months obtained from the Animal house of University of Nigeria, Nsukka, were used in this research. The animals were Grouped into 5 (A-E) and allowed for 2 weeks acclimatization. Graded doses of 0.04ml, 0.05ml and 0.06ml of the Affinity purified Lectin were injected intra-peritoneally into each of the Rats in Groups A-D (test groups) according to their body weights at intervals of 2 days for 1 week. Group E served as the control. Two (2) mls of blood was collected from each of the Rats before and 24 hours after the last day of Lectin Doses injections for the following tests: WBC-Total and Differential counts (using Sysmex Corporation, 1999 automated equipment), Urea and Glucose estimations (performed by means of Urease-Berthelot and GOD-PAP Randox Monza automated analyser methods respectively). The results of the research showed as follows: On complete/affinity purification, 15mls of pure sample containing only the high molecular weight Lectin was obtained. The haemagglutination tests conducted showed on standardization preferential agglutination with Blood group A type. Bar Charts statistics show that there was Post Lectin Doses injections mean increase in Total WBC, NEU, LYM and decrease in MON, EOS, BAS, Urea and Glucose levels. However, the differences in Pre and Post Lectin Doses injections mean values of these parameters were further subjected to One way analysis of variance (ANOVA) test statistics to determine if statistically significant. The ANOVA statistics show that the effects of the Lectin on all the assessed Leucocytes parameters viz, Total WBC, and Differential LYM, NEU, MON, EOS, BAS, the Urea and Glucose levels were found to be statistically insignificant. However, the EOS values of only group A was statistically significant. This research has therefore succeeded in Assessment of Activities of the A. achatina snail Lectin on Leucocytes, Glucose and Urea levels

    A year of genomic surveillance reveals how the SARS-CoV-2 pandemic unfolded in Africa

    Get PDF
    [Figure: see text]

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

    Get PDF
    Investment in SARS-CoV-2 sequencing in Africa over the past year has led to a major increase in the number of sequences generated, now exceeding 100,000 genomes, used to track the pandemic on the continent. Our results show an increase in the number of African countries able to sequence domestically, and highlight that local sequencing enables faster turnaround time and more regular routine surveillance. Despite limitations of low testing proportions, findings from this genomic surveillance study underscore the heterogeneous nature of the pandemic and shed light on the distinct dispersal dynamics of Variants of Concern, particularly Alpha, Beta, Delta, and Omicron, on the continent. Sustained investment for diagnostics and genomic surveillance in Africa is needed as the virus continues to evolve, while the continent faces many emerging and re-emerging infectious disease threats. These investments are crucial for pandemic preparedness and response and will serve the health of the continent well into the 21st century

    Emergence and spread of two SARS-CoV-2 variants of interest in Nigeria.

    Get PDF
    Identifying the dissemination patterns and impacts of a virus of economic or health importance during a pandemic is crucial, as it informs the public on policies for containment in order to reduce the spread of the virus. In this study, we integrated genomic and travel data to investigate the emergence and spread of the SARS-CoV-2 B.1.1.318 and B.1.525 (Eta) variants of interest in Nigeria and the wider Africa region. By integrating travel data and phylogeographic reconstructions, we find that these two variants that arose during the second wave in Nigeria emerged from within Africa, with the B.1.525 from Nigeria, and then spread to other parts of the world. Data from this study show how regional connectivity of Nigeria drove the spread of these variants of interest to surrounding countries and those connected by air-traffic. Our findings demonstrate the power of genomic analysis when combined with mobility and epidemiological data to identify the drivers of transmission, as bidirectional transmission within and between African nations are grossly underestimated as seen in our import risk index estimates

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

    Get PDF
    Investment in severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) sequencing in Africa over the past year has led to a major increase in the number of sequences that have been generated and used to track the pandemic on the continent, a number that now exceeds 100,000 genomes. Our results show an increase in the number of African countries that are able to sequence domestically and highlight that local sequencing enables faster turnaround times and more-regular routine surveillance. Despite limitations of low testing proportions, findings from this genomic surveillance study underscore the heterogeneous nature of the pandemic and illuminate the distinct dispersal dynamics of variants of concern-particularly Alpha, Beta, Delta, and Omicron-on the continent. Sustained investment for diagnostics and genomic surveillance in Africa is needed as the virus continues to evolve while the continent faces many emerging and reemerging infectious disease threats. These investments are crucial for pandemic preparedness and response and will serve the health of the continent well into the 21st century

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

    Get PDF
    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

    Как пойду я на быструю речку

    Get PDF
    Как пойду я на быструю речку, / Сяду я на крутой бережок, / Посмотрю на родную сторонку, / На зеленый приветный лужок

    Incidence, clinical characteristics, and risk factors of peripartum cardiomyopathy in Nigeria : results from the PEACE Registry

    No full text
    Aims: The aim of this study was to describe the incidence, clinical characteristics and risk factors of peripartum cardiomyopathy (PPCM) in Nigeria. Methods and Results: The study was conducted in 22 hospitals in Nigeria, and PPCM patients were consecutively recruited between June 2017 and March 2018. To determine factors associated with PPCM, the patients were compared with apparently healthy women who recently delivered, as controls. Four hundred six patients were compared with 99 controls. The incidence and disease burden (based on the rate of consecutive recruitment of subjects) varied widely between the six geographical zones of Nigeria. From the North-West zone, 72.3% of the patients was recruited, where an incidence as high as 1 per 96 live births was obtained in a centre, while the disease was uncommon (7.6% of all recruited patients) in the South. Majority of the patients (76.6%) and controls (74.8%) (p = 0.694) were of Hausa-Fulani ethnic group. Atrial fibrillation, intracardiac thrombus, stroke, and right ventricular systolic dysfunction were found in 1.7%, 6.4%, 2.2%, and 54.9% of the patients, respectively. Lack of formal education (odds ratio [OR] 3.08, 95% confidence interval [1.71, 5.53]; P < 0.001), unemployment (OR: 3.28 [2.05, 5.24]; P < 0.001), underweight (OR: 13.43 [4.17, 43.21]; P < 0.001) and history of pre-eclampsia (OR: 9.01 [2.18, 37.75]; P = 0.002) emerged as independent PPCM risk factors using regression models. Customary hot baths (OR: 1.24 [0.80, 1.93]; P = 0.344), pap enriched with dried lake salt (OR: 1.20 [0.74, 1.94]; P = 0.451), and Hausa-Fulani ethnicity (OR: 1.11 [0.67, 1.84]; P = 0.698) did not achieve significance as PPCM risk factors. Conclusions: In Nigeria, the burden of PPCM was greatest in the North-West zone, which has the highest known incidence. PPCM was predicted by sociodemographic factors and pre-eclampsia, which should be considered in its control at population level. Postpartum customary birth practices and Hausa-Fulani ethnicity were not associated with PPCM in Nigeria
    corecore