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  1. Article ; Online: Assessment of Baseline Antibodies to Pandemic Influenza A/H1N1/2009 Virus in Ogbomoso, Oyo State, Nigeria.

    Oladipo, E K / Awoyelu, E H / Oloke, J K

    Pathogens and global health

    2018  Volume 112, Issue 4, Page(s) 227–231

    MeSH term(s) Adolescent ; Adult ; Aged ; Antibodies, Viral/blood ; Demography ; Enzyme-Linked Immunosorbent Assay ; Female ; Humans ; Immunoglobulin M/blood ; Influenza A Virus, H1N1 Subtype/immunology ; Male ; Middle Aged ; Nigeria/epidemiology ; Risk Factors ; Seroepidemiologic Studies ; Surveys and Questionnaires ; Young Adult
    Chemical Substances Antibodies, Viral ; Immunoglobulin M
    Language English
    Publishing date 2018-04-23
    Publishing country England
    Document type Journal Article
    ZDB-ID 2625162-0
    ISSN 2047-7732 ; 2047-7724
    ISSN (online) 2047-7732
    ISSN 2047-7724
    DOI 10.1080/20477724.2018.1460944
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Phyloevolutionary analysis of SARS-CoV-2 in Nigeria.

    Awoyelu, E H / Oladipo, E K / Adetuyi, B O / Senbadejo, T Y / Oyawoye, O M / Oloke, J K

    New microbes and new infections

    2020  Volume 36, Page(s) 100717

    Abstract: Phyloepidemiological approaches have provided specific insight into understanding the emergence and evolution of infection. Knowledge on the outbreak and spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in Nigeria would assist in ... ...

    Abstract Phyloepidemiological approaches have provided specific insight into understanding the emergence and evolution of infection. Knowledge on the outbreak and spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in Nigeria would assist in provision of preventive measures to reduce transmission among populations at risk. This study aimed to investigate the evolution of SARS-CoV-2 in Nigeria. A total of 39 complete genomes of SARS-CoV-2 were retrieved from the GISAID EpiFlu™ database on 29 March 2020 to investigate its evolution in Nigeria. Sequences were selected based on the travel history of the individual and the collection date. Other sequences were not selected because they were short, contained artefacts, were not from an original source or had insufficient information. Evolutionary history was inferred using the maximum likelihood method based on the general time reversible model. A phylogenetic tree was constructed to determine the common ancestor of each strain. The phylogenetic analysis showed that the strain in Nigeria clustered in a monophyletic clade with a Wuhan sublineage. Nucleotide alignment also showed a 100% similarity indicating a common origin of evolution. Comparative analysis showed 27 972 (93.6%) identical sites and 97.6% pairwise identity with the consensus. The study evidently showed the entire outbreak of SARS-CoV-2 infection in Nigeria stemmed from a single introduction sharing consensus similarity with the reference SARS-CoV-2 human genome from Wuhan. Preventive measures that can limit the spread of the infection among populations at risk should be implemented.
    Keywords covid19
    Language English
    Publishing date 2020-06-14
    Publishing country England
    Document type Journal Article
    ZDB-ID 2750179-6
    ISSN 2052-2975
    ISSN 2052-2975
    DOI 10.1016/j.nmni.2020.100717
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Phyloevolutionary analysis of SARS-CoV-2 in Nigeria

    E.H. Awoyelu / E.K. Oladipo / B.O. Adetuyi / T.Y. Senbadejo / O.M. Oyawoye / J.K. Oloke

    New Microbes and New Infections, Vol 36, Iss , Pp 100717- (2020)

    2020  

    Abstract: Phyloepidemiological approaches have provided specific insight into understanding the emergence and evolution of infection. Knowledge on the outbreak and spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in Nigeria would assist in ... ...

    Abstract Phyloepidemiological approaches have provided specific insight into understanding the emergence and evolution of infection. Knowledge on the outbreak and spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in Nigeria would assist in provision of preventive measures to reduce transmission among populations at risk. This study aimed to investigate the evolution of SARS-CoV-2 in Nigeria. A total of 39 complete genomes of SARS-CoV-2 were retrieved from the GISAID EpiFlu™ database on 29 March 2020 to investigate its evolution in Nigeria. Sequences were selected based on the travel history of the individual and the collection date. Other sequences were not selected because they were short, contained artefacts, were not from an original source or had insufficient information. Evolutionary history was inferred using the maximum likelihood method based on the general time reversible model. A phylogenetic tree was constructed to determine the common ancestor of each strain. The phylogenetic analysis showed that the strain in Nigeria clustered in a monophyletic clade with a Wuhan sublineage. Nucleotide alignment also showed a 100% similarity indicating a common origin of evolution. Comparative analysis showed 27 972 (93.6%) identical sites and 97.6% pairwise identity with the consensus. The study evidently showed the entire outbreak of SARS-CoV-2 infection in Nigeria stemmed from a single introduction sharing consensus similarity with the reference SARS-CoV-2 human genome from Wuhan. Preventive measures that can limit the spread of the infection among populations at risk should be implemented.
    Keywords Evolutionary analysis ; Nigeria ; preventive measures ; severe acute respiratory syndrome coronavirus 2 ; transmission chain ; Infectious and parasitic diseases ; RC109-216 ; covid19
    Subject code 572
    Language English
    Publishing date 2020-07-01T00:00:00Z
    Publisher Elsevier
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article ; Online: Phyloevolutionary analysis of SARS-CoV-2 in Nigeria

    Awoyelu, E.H. / Oladipo, E.K. / Adetuyi, B.O. / Senbadejo, T.Y. / Oyawoye, O.M. / Oloke, J.K.

    New Microbes and New Infections

    2020  Volume 36, Page(s) 100717

    Keywords covid19
    Language English
    Publisher Elsevier BV
    Publishing country us
    Document type Article ; Online
    ZDB-ID 2750179-6
    ISSN 2052-2975
    ISSN 2052-2975
    DOI 10.1016/j.nmni.2020.100717
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Article: Phyloevolutionary analysis of SARS-CoV-2 in Nigeria

    Awoyelu, E. H. / Oladipo, E. K. / Adetuyi, B. O. / Senbadejo, T. Y. / Oyawoye, O. M. / Oloke, J. K.

    New Microbes New Infect.

    Abstract: Phyloepidemiological approaches have provided specific insight into understanding the emergence and evolution of infection. Knowledge on the outbreak and spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in Nigeria would assist in ... ...

    Abstract Phyloepidemiological approaches have provided specific insight into understanding the emergence and evolution of infection. Knowledge on the outbreak and spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in Nigeria would assist in provision of preventive measures to reduce transmission among populations at risk. This study aimed to investigate the evolution of SARS-CoV-2 in Nigeria. A total of 39 complete genomes of SARS-CoV-2 were retrieved from the GISAID EpiFlu™ database on 29 March 2020 to investigate its evolution in Nigeria. Sequences were selected based on the travel history of the individual and the collection date. Other sequences were not selected because they were short, contained artefacts, were not from an original source or had insufficient information. Evolutionary history was inferred using the maximum likelihood method based on the general time reversible model. A phylogenetic tree was constructed to determine the common ancestor of each strain. The phylogenetic analysis showed that the strain in Nigeria clustered in a monophyletic clade with a Wuhan sublineage. Nucleotide alignment also showed a 100% similarity indicating a common origin of evolution. Comparative analysis showed 27 972 (93.6%) identical sites and 97.6% pairwise identity with the consensus. The study evidently showed the entire outbreak of SARS-CoV-2 infection in Nigeria stemmed from a single introduction sharing consensus similarity with the reference SARS-CoV-2 human genome from Wuhan. Preventive measures that can limit the spread of the infection among populations at risk should be implemented.
    Keywords covid19
    Publisher WHO
    Document type Article
    Note WHO #Covidence: #597185
    Database COVID19

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  6. Article ; Online: Incidence of cephalosporin resistance among clinical isolates of Pseudomonas aeruginosa in Ibadan, South- Western Nigeria

    Oladipo E.K / Oloke J.K / Omomowo I.O / Oyeniran A.O / Awoyelu E.H / Ogundele S.O

    International Journal of Medicine and Biomedical Research, Vol 4, Iss 3, Pp 135-

    2015  Volume 141

    Abstract: Background: The emergence of beta-lactam resistance in Pseudomonas aeruginosa is a major global challenge, particularly, the rise in the resistance to 3rd and 4th generation cephalosporins. Aim: This study was carried out to determine the resistance ... ...

    Abstract Background: The emergence of beta-lactam resistance in Pseudomonas aeruginosa is a major global challenge, particularly, the rise in the resistance to 3rd and 4th generation cephalosporins. Aim: This study was carried out to determine the resistance pattern of Pseudomonas aeruginosa to different generations of cephalosporins. Methods: A total number of one hundred clinical isolates of Pseudomonas aeruginosa were collected from June to November 2014 at University Teaching Hospital Ibadan, Oyo State. These were tested for their sensitivity to antibiotics by means of disc diffusion method using prepared antibiotics disc containing different μ of antibiotics; Cefotaxine (30μ), Cefaclor (30μ), Cefamandole (30μ), Cefixime (5μ), Cefepime (30μ), Cefpodoxime (30μ) and Ceftazidime (30μ). Results: Pseudomonas aeruginosa showed absolute resistance to all antibiotics used except Ceftazidime, and Cefepime which are third and fourth generation of cephalosporin respectively. Ceftazidime had minimal resistant of 21% and higher susceptibility rate of 76%, Cefepime had the highest susceptibility rate of 90% and minimal resistance of 6%. Cefotaxime and Cefpodoxime had minimal intermediate of 1%, Ceftazidime of 3% and Cefepime of 4%. Conclusion: The result from this study provided more evidence that among third generation of cephalosporins used, some are more active than the other while fourth generation is still the most effective of all other generations. Knowledge on the distribution of cephalosporin-resistant organisms is of ultimate importance as a guide in empirical therapy, taking note of preventive strategies as well as control measures against the spread of resistant microorganisms.
    Keywords Cephalosporins ; resistance ; susceptibility ; Pseudomonas aeruginosa ; antibiotics ; organism ; Medicine ; R ; Medicine (General) ; R5-920
    Publishing date 2015-12-01T00:00:00Z
    Publisher Michael Joanna Publications
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Article: Exploration of surface glycoprotein to design multi-epitope vaccine for the prevention of Covid-19

    Oladipo, E. K. / Ajayi, A. F. / Ariyo, O. E. / Onile, S. O. / Jimah, E. M. / Ezediuno, L. O. / Adebayo, O. I. / Adebayo, E. T. / Odeyemi, A. N. / Oyeleke, M. O. / Oyewole, M. P. / Oguntomi, A. S. / Akindiya, O. E. / Olamoyegun, B. O. / Aremu, V. O. / Arowosaye, A. O. / Aboderin, D. O. / Bello, H. B. / Senbadejo, T. Y. /
    Awoyelu, E. H. / Oladipo, A. A. / Oladipo, B. B. / Ajayi, L. O. / Majolagbe, O. N. / Oyawoye, O. M. / Oloke, J. K.

    Informatics in Medicine Unlocked

    Abstract: Stimulation and generation of T and B cell-mediated long-term immune response are essential for the curbing of a deadly virus such as SAR-CoV-2 (Severe Acute Respiratory Corona Virus 2) Immunoinformatics approach in vaccine design takes advantage of ... ...

    Abstract Stimulation and generation of T and B cell-mediated long-term immune response are essential for the curbing of a deadly virus such as SAR-CoV-2 (Severe Acute Respiratory Corona Virus 2) Immunoinformatics approach in vaccine design takes advantage of antigenic and non-allergenic epitopes present on the spike glycoprotein of SARS-CoV-2 to elicit immune responses T cells and B cells epitopes were predicted, and the selected residues were subjected to allergenicity, antigenicity and toxicity screening which were linked by appropriate linkers to form a multi-epitope subunit vaccine The physiochemical properties of the vaccine construct were analyzed, and the molecular weight, molecular formula, theoretical isoelectric point value, half-life, solubility score, instability index, aliphatic index and GRAVY were predicted The vaccine structure was constructed, refined, validated, and disulfide engineered to get the best model Molecular binding simulation and molecular dynamics simulation were carried out to predict the stability and binding affinity of the vaccine construct with TLRs Codon acclimatization and in silico cloning were performed to confirm the vaccine expression and potency Results obtained indicated that this novel vaccine candidate is non-toxic, capable of initiating the immunogenic response and will not induce an allergic reaction The highest binding energy was observed in TLR4 (Toll-like Receptor 4) (-1398 1), and the least is TLR 2 (-1479 6) The steady rise in Th (T-helper) cell population with memory development was noticed, and IFN-g (Interferon gamma) was provoked after simulation At this point, the vaccine candidate awaits animal trial to validate its efficacy and safety for use in the prevention of the novel COVID-19 (Coronavirus Disease 2019) infections
    Keywords covid19
    Publisher WHO
    Document type Article
    Note WHO #Covidence: #879000
    Database COVID19

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