Browsing by Author "Sayan, Murat"

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Citation - WoS: 1
Citation - Scopus: 1
Evaluation of Lateral Flow and Elisa Techniques for Detecting Igg and Igm Antibodies in Covid-19 Cases in Turkiye
(Who Eastern Mediterranean Regional Office, 2023) Arikan, Ayse; Doluca, Osman; Akhan, Sila; Sanlidag, Tamer; Sayan, Murat
Background: Antibody testing can complement molecular assays for detecting COVID-19.Aims: We evaluated the concurrence between lateral flow assay and enzyme-linked immunosorbent assay (ELISA) for the detection of antibodies in severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2).Methods: The study was conducted at Kocaeli University, Turkiye. We used a lateral flow assay and ELISA to test serum samples from COVID-19 cases, confirmed by polymerase chain reaction assays (study group) and pre-pandemic stored serum samples (control group). We used Deming regression to evaluate the antibody measurements.Results: The study group included 100 COVID-19 cases, and the control group included pre-pandemic samples from 156 individuals. The lateral flow assay detected immunoglobulin M (IgM) and G (IgG) antibodies in 35 and 37 study group samples. ELISA detected IgM nucleocapsid (N) antibodies in 18 samples, and IgG (N) and IgG spike 1 (S1) antibodies in 31 and 29 samples, respectively. None of the techniques detected antibodies in the control samples. Strong correlations were found between lateral flow IgG (N+ receptor-binding domain + S1) and ELISA IgG (S) (r = 0.93, P < 0.01) and ELISA IgG (N) (r = 0.81, P < 0.01). Weaker correlations were seen between ELISA IgG S and IgG N (r = 0.79, P < 0.01) and lateral flow assay and ELISA IgM (N) (r = 0.70, P < 0.01).Conclusion: Lateral flow assay and ELISA techniques gave consistent results for IgG/IgM antibody measurements towards spike and nucleocapsid proteins, suggesting that both methods can be used to detect COVID-19 where access to molecular test kits is difficult.
Citation - WoS: 3
Citation - Scopus: 4
Investigation of Compatibility of Severe Acute Respiratory Syndrome Coronavirus 2 Reverse Transcriptase-Pcr Kits Containing Different Gene Targets During Coronavirus Disease 2019 Pandemic
(Future Medicine Ltd, 2020) Sarigul, Figen; Doluca, Osman; Akhan, Sila; Sayan, Murat
Aim:In the diagnosis of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), reverse transcriptase-PCR (RT-PCR) technique is often used. We evaluated the compatibility of SARS-CoV-2 RT-PCR kits containing different gene targets during the pandemic.Materials & methods:Samples were tested by Bio-Speddy(R)(RdRpgene) and Diagnovital(R)(RdRp + Egenes). The correlation between two assays were determined by Deming regression analysis and chi-square analyses.Results:Diagnovital PCR kit showed amplification in a narrow Ct range and conveniently sharper exponential amplification curves than Bio-Speedy PCR kit. While the correlation between the findings of the two kits was apparent even with single gene target, this correlation increased when a secondary biomarker was added to the correlation calculations.Conclusion:We have observed high correlation between different PCR kits, however, using different PCR kits during the pandemic may provide a more accurate diagnosis of SARS-CoV-2, since despite correlation there are a number of patients showing contradicting diagnosis.
Citation - WoS: 2
Citation - Scopus: 2
Neumodx Random Access Molecular Diagnostic System for Detection and Quantification of Hepatitis B Virus in Clinical Samples
(J Infection Developing Countries, 2020) Arikan, Ayse; Sayan, Murat; Doluca, Osman
Introduction: Currently, several molecular assays are available to detect and quantify HBV DNA in clinical samples. We aimed to characterize and compare the clinical performance of newly designed NeuMoDx PCR to the existing artus PCR. Methodology: The plasma HBV DNA levels of 96 clinical and 5 external quality control samples were measured by NeuMoDx and artus assays simultaneously in Kocaeli University, Turkey. The linearity, agreement and the correlation between two assays were determined by Deming regression analysis, Bland-Altman plotting, the chi-square and the relative absolute error statistical analyzes. For all statistical analyzes, the XLSTAT statistical program was used. Results: The mean (standard deviation; SD) age was 45.07 +/- 12.29. HBsAg S/Co median (range) was 4,273.4 +/- 1,138.1 and ALT U/L median (range) was 27 +/- 16. The mean (SD) of HBV DNA was 1.46+E6 +/- 1.0+E4 for NeuMoDx and 1.54+E5 +/- 4.7 + E4 for artus assays. The Deming regression indicates a linear correlation (95% confidence). The chi-square test indicates strong correlation (p < 0.001). Bland-Altman analysis confirms that the measurement difference is acceptable. The relative absolute error analysis for artus showed relatively less and more consistent error rate. With 5 external quality check samples, the statistical significance was low (p = 0.566). Conclusions: The NeuMoDx HBV assay showed an excellent analytical performance by providing a rapid, high throughput technology in a random-access testing system in clinical samples and may be a new solution for viral load quantification in the management of HBV infections.
Citation - WoS: 3
Citation - Scopus: 3
A Novel Method for Conserved Sequence Extraction With Prospective Mutation Prediction for Sars-Cov Pcr Primer Design
(Elsevier, 2021) Portakal, Saygin Huseyin; Kanat, Beyza; Sayan, Murat; Berber, Burak; Doluca, Osman
While the whole genomic sequence of SARS-CoV-2 had been revealed, it was also demonstrated that the genome of SARS-CoV-2 exhibits identity with the genome of SARS-CoV and MERS-CoV with ratios of 80 % and 50 % respectively. In the light of SARS-CoV-2 infection and mortality data, diagnosis and treatment of COVID-19 came into prominence around the world. As such many RT-PCR kits have been developed by biotechnology scientists. However viruses are fast mutating organisms and in order to increase accuracy, feasibility in long term and avoid the off target results of RT-PCR assays, regions of viral genome with low mutation rate and designing of primers targeting these regions are quite important. In this scope, we are presenting a novel algorithm that could be used for finding low mutation rate regions of SARS-CoV-2 and primers that were designed according to findings from our algorithm in this study.