Binding of SARS-CoV-2 Structural Proteins to Hemoglobin and Myoglobin Studied by SPR and DR LPG

Dyankov, Georgi; Genova-Kalоu, Petia; Eftimov, Tinko; Ghaffari, Sanaz Shoar; Mankov, V.; Kisov, Hristo; Veselinov, Petar; Hikova, Evdokia; Malinowski, N.

doi:10.3390/s23063346

Cited by 5 publications

(3 citation statements)

References 26 publications

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“…The method was successfully applied for SARS CoV-2 structural proteins detection [8,9]. The optical set-up used for amplitude SPR detection is shown in figure 1.…”

Section: Surface Plasmon Resonance Methodsmentioning

confidence: 99%

Biosensor-based serological assay for diagnosing Helicobacter pylori infection

Kolev,

Hikova,

Kisov

et al. 2024

IOP Conf. Ser.: Earth Environ. Sci.

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Helicobacter pylori causes the most common bacterial infection involving 50% of the global population. According to the World Health Organization H. pylori infection contributes to approximately 75% of the stomach cancer cases and 5.5% of all types of cancer. Therefore, timely diagnosis of the infection is highly desirable. Serological assays are widely performed for diagnosing H. pylori infection, the most frequently used one being ELISA. In the present study we showed that a serological assay can also be carried out using a biosensor based on Surface Plasmon Resonance (SPR). Unlike our previous studies where we used amplitude detection of the binding reactions, here we applied phase-sensitive detection. It was performed with a the channeled spectroscopic ellipsometer, which allowed fast measurement with high sensitivity. Thus, the detection limit achieved was more than two times lower than that of the amplitude detection. In terms of CFU, phase detection was sensitive even at 200 CFU, while amplitude detection was applicable at 3000 CFU.

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“…The method was successfully applied for SARS CoV-2 structural proteins detection [8,9]. The optical set-up used for amplitude SPR detection is shown in figure 1.…”

Section: Surface Plasmon Resonance Methodsmentioning

confidence: 99%

Biosensor-based serological assay for diagnosing Helicobacter pylori infection

Kolev,

Hikova,

Kisov

et al. 2024

IOP Conf. Ser.: Earth Environ. Sci.

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“…39 Furthermore, a conceptual model predicted that motifs from SARS -CoV -2 structural proteins could bind to porphyrin, whereas experimental data indicated that the S/N protein binds to hemoglobin and myoglobin. 40 Myoglobin is a well -known offender in the pathogenesis of AKI, which emphasizes the COVID -19-myoglobin-AKI interactions.…”

Section: Model -Building Processmentioning

confidence: 99%

Predicting acute kidney injury onset using a random forest algorithm using electronic medical records of COVID-19 patients: the CRACoV-AKI model

Krzanowska,

Batko,

Niezabitowska

et al. 2024

Polish Archives of Internal Medicine

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INTROduCTIONAcute kidney injury (AKI) is a serious and common complication of SARS -CoV -2 infection. Most risk assessment tools for AKI have been developed in the intensive care unit or in elderly populations. As the COVID -19 pandemic is transitioning into an endemic phase, there is an unmet need for prognostic scores tailored to the population of patients hospitalized for this disease.ObjECTIvEs We aimed to develop a robust predictive model for the occurrence of AKI in hospitalized patients with COVID -19.PATIENTs ANd mEThOds Electronic medical records of all adult inpatients admitted between March 2020 and January 2022 were extracted from the database of a large, tertiary care center with a reference status in Lesser Poland. We screened 5806 patients with SARS -CoV -2 infection confirmed with a polymerase chain reaction test. After excluding individuals with lacking data on serum creatinine levels and those with a mild disease course (<7 days of inpatient care), a total of 4630 records were considered. Data were randomly split into training (n = 3462) and test (n = 1168) sets. A random forest model was tuned with feature engineering based on expert advice and metrics evaluated in nested cross -validation to reduce bias.REsuLTs Nested cross -validation yielded an area under the curve ranging between 0.793 and 0.807, and an average performance of 0.798. Model explanation techniques from a global perspective suggested that a need for respiratory support, chronic kidney disease, and procalcitonin concentration were among the most important variables in permutation tests. CONCLusIONsThe CRACoV -AKI model enables AKI risk stratification among hospitalized patients with COVID -19. Machine learning-based tools may thus offer additional decision -making support for specialist providers.

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“…Interestingly, SARS-CoV-2 structural proteins in COVID-19, including the S, M, and N proteins, can accumulate in the blood in a complex with hemoglobin and its metabolites [12,13]. The S protein can hyperactivate immune cells via Toll-like receptors [14].…”

Section: Introductionmentioning

confidence: 99%

Computational Analysis of CD46 Protein Interaction with SARS-CoV-2 Structural Proteins: Elucidating a Putative Viral Entry Mechanism into Human Cells

Vassiliev,

Gusev,

Komelkova

et al. 2023

Viruses

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This study examines an unexplored aspect of SARS-CoV-2 entry into host cells, which is widely understood to occur via the viral spike (S) protein’s interaction with human ACE2-associated proteins. While vaccines and inhibitors targeting this mechanism are in use, they may not offer complete protection against reinfection. Hence, we investigate putative receptors and their cofactors. Specifically, we propose CD46, a human membrane cofactor protein, as a potential putative receptor and explore its role in cellular invasion, acting possibly as a cofactor with other viral structural proteins. Employing computational techniques, we created full-size 3D models of human CD46 and four key SARS-CoV-2 structural proteins—EP, MP, NP, and SP. We further developed 3D models of CD46 complexes interacting with these proteins. The primary aim is to pinpoint the likely interaction domains between CD46 and these structural proteins to facilitate the identification of molecules that can block these interactions, thus offering a foundation for novel pharmacological treatments for SARS-CoV-2 infection.

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Binding of SARS-CoV-2 Structural Proteins to Hemoglobin and Myoglobin Studied by SPR and DR LPG

Cited by 5 publications

References 26 publications

Biosensor-based serological assay for diagnosing Helicobacter pylori infection

Biosensor-based serological assay for diagnosing Helicobacter pylori infection

Predicting acute kidney injury onset using a random forest algorithm using electronic medical records of COVID-19 patients: the CRACoV-AKI model

Computational Analysis of CD46 Protein Interaction with SARS-CoV-2 Structural Proteins: Elucidating a Putative Viral Entry Mechanism into Human Cells

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