Elberry, M. H., H. A. H. Abdelgawad, A. Hamdallah, W. S. Abdella, A. S. Ahmed, H. S. Ghaith, and A. Negida, "A systematic review of vaccine-induced thrombotic thrombocytopenia in individuals who received COVID-19 adenoviral-vector-based vaccines.", Journal of thrombosis and thrombolysis, vol. 53, issue 4, pp. 798-823, 2022. Abstract

Reports of thrombotic response after receiving COVID-19 Adenoviral-Vector Based Vaccines raise concerns about vaccine-induced thrombotic thrombocytopenia (VITT); therefore, we conduct this systematic review to report susceptible demographics outcomes, commonalities, and prognosis of reporting cases. We identified published articles by searching PubMed, SCOPUS, and Web of Science from December 2020 till May 2021, with an updated search in September 2021. All case reports and case series reporting thrombotic response after receiving COVID-19 Adenoviral-Vector Based Vaccines were eligible for including. In addition, two authors independently extracted data and assessed the quality of the included studies. A total of 157 patients with thrombotic events after the ChAdOx1 nCoV-19 vaccine and 16 patients with thrombotic events after Ad26.COV2. S vaccine was included in our study. 72% of the ChAdOx1 nCoV-19 cases were females, while in Ad26.COV2.S subgroup, all reported patients were females. The commonest presentations were deep vein thrombosis 20 (12.7%) and cerebral venous sinus thrombosis 18 (11.5%) in the ChAdOx1 nCoV-19 subgroup while cerebral venous sinus thrombosis 14 (87.5%) and pulmonary embolism 2 (12.5%) in the Ad26.COV2. S subgroup. In this study, we described the certain demographics associated with VITT and the clinical presentations of those cases in the ChAdOx1 nCoV-19 and Ad26.COV2. S vaccines. Young individuals, particularly females, may be more susceptible to VITT, and future studies should seek to confirm this association. In addition, the clinical presentation of VITT commonly includes cerebral thrombi, pulmonary embolism, and deep venous thrombosis, but other presentations are also possible, highlighting the importance of clinical vigilance in recent vaccine recipients.

Mobarak, L., M. Shemis, R. S. Abdellatif, A. Fouad, M. H. Elberry, and R. M. Dawood, "Detection of the Serum Cytokines Predicts COVID-19 Pathogenesis in Egyptian Patients.", Viral immunology, 2022. Abstract

Cytokine storms can be triggered by various infectious or noninfectious diseases and cause severe damages to multiple organs. Cytokine storm plays an important role in the pathogenesis of severe cases of coronavirus disease 2019 (COVID-19). The pathogenesis of COVID-19 involves a potent inflammatory response involving a complex group of mediators, including interleukin (IL)-6 and IL-10. In this study, the serum levels of IL-6 and IL-10 cytokines were evaluated in 79 COVID-19 infected patients from the National Hepatology and Tropical Medicine Research Institute, Cairo, Egypt. And 20 healthy individuals served as a control group. The patients were divided into moderate, severe, and critically ill. In this study, IL-6 and IL-10 levels were significantly elevated in COVID-19 patients compared with healthy controls. IL-6 levels were significantly higher in patients compared with controls ( = 0.001), although it was not varied within different severity groups except for moderate-critical ill cases ( < 0.033). IL-10 only showed a significant difference between critically ill and control cases ( < 0.002). Receiver operating characteristic curve analyses showed that IL-6 levels >120 pg/mL can predict moderate and critically ill patients with a sensitivity of 90.48% and a specificity of 62.50%, Area Under the Curve <0.0001. In conclusion, the serum levels of IL-6 cytokine are important noninvasive biomarkers to differentiate between moderate and critically ill COVID-19 infected patients.

Abdelgawad, H. A. H., A. Sayed, M. Munir, M. H. Elberry, I. M. Sayed, M. A. Kamal, A. Negida, M. Ebada, and E. Bahbah, "Clinical Review of COVID-19; Pathogenesis, Diagnosis, and Management", Current Pharmaceutical Design, vol. 27, issue 41, pp. 4232 - 4244, 2021.
Abdelgawad, H. A. H., A. Sayed, M. Munir, M. H. Elberry, I. M. Sayed, M. A. Kamal, A. Negida, M. Ebada, and E. Bahbah, "Clinical Review of COVID-19; Pathogenesis, Diagnosis, and Management", Current Pharmaceutical Design, vol. 27, issue 41, pp. 4232 - 4244, 2021.
Elberry, M. H., and H. Ahmed, "Occult SARS-CoV-2 infection; a possible hypothesis for viral relapse.", Medical hypotheses, vol. 144, pp. 109980, 2020. Abstract

Coronavirus disease 2019 (COVID-19) has emerged as a global public health emergency, which is characterized by high infection rate and fatal course. Recent data reported that the test for Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) RNA might become positive again after one or two consecutively negative tests. Many researchers are currently evaluating the clinical characteristics of the SARS-CoV-2 reactivation. In this letter, we proposed a possible mechanism of SARS-CoV-2 reactivation or relapse after negative nasopharyngeal swabs PCR.

Zekri, A. - R. N., A. S. E. - D. Youssef, Y. M. Bakr, R. M. Gabr, O. S. Ahmed, M. H. Elberry, A. M. Mayla, M. Abouelhoda, and A. A. Bahnassy, "Early detection of hepatocellular carcinoma co-occurring with hepatitis C virus infection: A mathematical model.", World journal of gastroenterology, vol. 22, issue 16, pp. 4168-82, 2016. Abstract

AIM: To develop a mathematical model for the early detection of hepatocellular carcinoma (HCC) with a panel of serum proteins in combination with α-fetoprotein (AFP).

METHODS: Serum levels of interleukin (IL)-8, soluble intercellular adhesion molecule-1 (sICAM-1), soluble tumor necrosis factor receptor II (sTNF-RII), proteasome, and β-catenin were measured in 479 subjects categorized into four groups: (1) HCC concurrent with hepatitis C virus (HCV) infection (n = 192); (2) HCV related liver cirrhosis (LC) (n = 96); (3) Chronic hepatitis C (CHC) (n = 96); and (4) Healthy controls (n = 95). The R package and different modules for binary and multi-class classifiers based on generalized linear models were used to model the data. Predictive power was used to evaluate the performance of the model. Receiver operating characteristic curve analysis over pairs of groups was used to identify the best cutoffs differentiating the different groups.

RESULTS: We revealed mathematical models, based on a binary classifier, made up of a unique panel of serum proteins that improved the individual performance of AFP in discriminating HCC patients from patients with chronic liver disease either with or without cirrhosis. We discriminated the HCC group from the cirrhotic liver group using a mathematical model (-11.3 + 7.38 × Prot + 0.00108 × sICAM + 0.2574 × β-catenin + 0.01597 × AFP) with a cutoff of 0.6552, which achieved 98.8% specificity and 89.1% sensitivity. For the discrimination of the HCC group from the CHC group, we used a mathematical model [-10.40 + 1.416 × proteasome + 0.002024 × IL + 0.004096 × sICAM-1 + (4.251 × 10(-4)) × sTNF + 0.02567 × β-catenin + 0.02442 × AFP] with a cutoff 0.744 and achieved 96.8% specificity and 89.7% sensitivity. Additionally, we derived an algorithm, based on a binary classifier, for resolving the multi-class classification problem by using three successive mathematical model predictions of liver disease status.

CONCLUSION: Our proposed mathematical model may be a useful method for the early detection of different statuses of liver disease co-occurring with HCV infection.

Alam El-Din, H. M., S. A. Loutfy, N. Fathy, M. H. Elberry, A. M. Mayla, S. Kassem, and A. Naqvi, "Molecular docking based screening of compounds against VP40 from Ebola virus.", Bioinformation, vol. 12, issue 3, pp. 192-196, 2016. Abstract

Ebola virus causes severe and often fatal hemorrhagic fevers in humans. The 2014 Ebola epidemic affected multiple countries. The virus matrix protein (VP40) plays a central role in virus assembly and budding. Since there is no FDA-approved vaccine or medicine against Ebola viral infection, discovering new compounds with different binding patterns against it is required. Therefore, we aim to identify small molecules that target the Arg 134 RNA binding and active site of VP40 protein. 1800 molecules were retrieved from PubChem compound database based on Structure Similarity and Conformers of pyrimidine-2, 4-dione. Molecular docking approach using Lamarckian Genetic Algorithm was carried out to find the potent inhibitors for VP40 based on calculated ligand-protein pairwise interaction energies. The grid maps representing the protein were calculated using auto grid and grid size was set to 60*60*60 points with grid spacing of 0.375 Ǻ. Ten independent docking runs were carried out for each ligand and results were clustered according to the 1.0 Ǻ RMSD criteria. The post-docking analysis showed that binding energies ranged from -8.87 to 0.6 Kcal/mol. We report 7 molecules, which showed promising ADMET results, LD-50, as well as H-bond interaction in the binding pocket. The small molecules discovered could act as potential inhibitors for VP40 and could interfere with virus assembly and budding process.

Elberry, M. H., and H. Ahmed, "Occult SARS-CoV-2 infection; a possible hypothesis for viral relapse.", Medical hypotheses, vol. 144, pp. 109980, 2020. Abstract1-s2.0-s0306987720313475-main.pdf

Coronavirus disease 2019 (COVID-19) has emerged as a global public health emergency, which is characterized by high infection rate and fatal course. Recent data reported that the test for Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) RNA might become positive again after one or two consecutively negative tests. Many researchers are currently evaluating the clinical characteristics of the SARS-CoV-2 reactivation. In this letter, we proposed a possible mechanism of SARS-CoV-2 reactivation or relapse after negative nasopharyngeal swabs PCR.

Elberry, M. H., N. H. E. Darwish, and S. A. Mousa, "Hepatitis C virus management: potential impact of nanotechnology", Virology Journal, vol. 14, issue 1, pp. 88-99, 2017. s12985-017-0753-1.pdf