Hepatocellular carcinoma (HCC) is the second most common cause of cancer-related death worldwide. The use of alpha fetoprotein (AFP) alone was not an accurate biomarker for HCC despite its high specificity. Therefore, we assessed the possible role of serum biomarkers that have been mentioned briefly in previous studies on Egyptian patients ion top of HCV. However these studies included small number of patients and did not assess the different stages of hepatocarcinogenesis. In the current study we assessed 1) the expression levels of Golgi protein 37(GP73),Midkine (MDK) and Dickkopf-1(DKK-1) proteins separately and in combination at different stages of hepatocarcinogenesis. GP73, MDK and DKK-1 proteins were assessed in 238 individuals divided into 4 groups (HCC, chronic HCV, and chronic HCV with cirrhosis and healthy subjects as a control) Serum levels of GP73, MDK, and DKK-1 were assessed in all subjects by ELISA. Serum levels of the studied markers were significantly higher in HCC compared to other groups (p < 0.001). The ROC curve analysis for the studied markers showed 1) 88.5% sensitivity, 80.6% specificity, 69% PPV, 93.5% NPV and (AUC 0.91)for MDK; 2) 93.6%, 86.9%, 77.7%, 96.5% for DKK-1. 3) 91%, 85%, 74.7%, 95% (AUC 0.96) for GP73 and 4) 74.4%, 84.4%, 69.9%, 87.1% (AUC 0.81) for AFP. Serum levels of GP73, MDK, and DKK-1 are comparable to AFP as promising predictor biomarkers for HCC patients from Egypt. A two markers panel including Gp73 and DKK-1 showed the highest specificity and sensitivity among different markers combinations.

Of great concern is the increased frequency of carbapenem-resistant Acinetobacter baumannii (CRAB) causing healthcare-associated infections. Different classes of β-lactamases are involved in this resistance through hydrolyzing carbapenems. Multilocus sequence typing (MLST) has been applied successfully for characterizing different varieties of bacterial pathogens epidemiologically. In the present study, we aimed to type and characterize the resistance profile of clinical isolates of CRAB causing healthcare-associated infections in patients admitted to Kasr Al-Aini hospital, using MLST, and compare with sequence types (STs) from other countries. A total of 50 isolates were collected from clinical samples (predominantly wound and blood), then identified by bla OXA-51-like gene PCR, and subjected to Oxford MLST scheme. The ST was designated according to PubMLST database, and e-BURST algorithm was used to assign clonal complexes. Four sets of multiplex PCR were performed to detect common carbapenem resistance genes. ST391 was the predominant ST detected in 17 cases, 70.5% of which harbored bla OXA-23 alone, both bla OXA-23 and bla KPC in 11.8%. Newly recognized 13 STs were submitted to the PubMLST database. Carbapenem resistance due to bla OXA-23 carbapenemase was detected in 36/50 (72%), followed by bla OXA-23 concomitant with bla KPC in 7/50 (14%), while bla NDM with bla OXA-58 in 3/50 (6%) and bla NDM alone in 1 case (2%). To conclude, this study demonstrates the propagation of highly resistant clone of STs 391 and 1151, carrying bla OXA-23 genes, with the first report of bla KPC in bla OXA carrying CRAB and the presence of new STs by performing the MLST technique in an Egyptian laboratory facility.

Different molecular assays for the detection of bacterial DNA in the peripheral blood represented a diagnostic tool for neonatal sepsis. We targeted to evaluate the role of 16S rRNA gene sequencing to screen for bacteremia to confirm suspected neonatal sepsis (NS) and compare with risk factors and septic screen testing. Sixty-two neonates with suspected NS were enrolled. White blood cells count, I/T ratio, C-reactive protein, blood culture and 16S rRNA sequencing were performed. Blood culture was positive in 26% of cases, and PCR was positive in 26% of cases. Evaluation of PCR for the diagnosis of NS showed sensitivity 62.5%, specificity 86.9%, PPV 62.5%, NPV 86.9% and accuracy of 79.7%. 16S rRNA PCR increased the sensitivity of detecting bacterial DNA in newborns with signs of sepsis from 26 to 35.4%, and its use can be limited to cases with the most significant risk factors and positive septic screen.

Introduction: Diagnosis of bloodstream infections using bacteriological cultures suffers from low sensitivity and reporting delay. Advanced molecular techniques introduced in many laboratories provide rapid results and may show improvements in patient outcomes. This study aimed to evaluate the usefulness of a molecular technique, broad-range 16S rRNA PCR followed by sequencing for the diagnosis of bloodstream infections, compared to blood culture in different patient groups. Methodology: Conventional PCR was performed, using broad-range 16S rRNA primers, on blood cultures collected from different patients with suspected bloodstream infections; results were compared with those of blood culture. Results: Though blood culture is regarded as the gold standard, PCR evaluation showed sensitivity of 86.25%, specificity of 91.25%, positive predictive value of 76.67%, negative predictive value of 95.22%, and accuracy of 88.8%. Conclusions: Molecular assays seem not to be sufficient to replace microbial cultures in the diagnosis of bloodstream infections, but they can offer a rapid, good negative test to rule out infection due to their high negative predictive value.

Understanding the complex immune responses in sepsis is crucial to provide insight into the clinical syndrome. We evaluated the changes in the surface receptors of the cells of innate immunity, neutrophils and monocytes, in patients with sepsis. Since sepsis remains a clinical challenge, we aimed to assess the significance of altered receptor expression in diagnosis and prognosis. Critically ill patients with sepsis (n=31) were investigated for the expression of receptors for IgG heavy chain CD64 and CD16 on neutrophils and CD64 and the lipopolysaccharide receptor CD14 on monocytes by flow cytometry and compared to 23 patients with no sepsis. Patients with sepsis had increased expression of neutrophil CD64. Neutrophil CD64 was specific for discriminating patients with sepsis but showed weak sensitivity. When integrated in a scoring system, neutrophil CD64 in combination with C-reactive protein (CRP) and SOFA score showed a diagnostic accuracy of 0.93 for sepsis and significantly predicted increased mortality risk. While neutrophil CD16 did not discriminate for sepsis, decreased expression was associated with increased mortality risk. In contrast, monocyte CD64 and CD14 expression was unaltered in sepsis and was not associated with mortality risk. Our study demonstrates that unlike monocytes, neutrophil receptor expression is altered in patients with sepsis receiving intensive care. It is promising to apply a combination approach to diagnose sepsis especially in time-limited conditions.