The involvement of cytokine gene polymorphism in determining the vulnerability to Blastocystis and Helicobacter pylori co-infection in the Egyptian population.

AIMS: The present study aimed to identify any potential association between IL-1ß and TNF-α gene polymorphism and the risk of Blastocystis infection as well as co-infection of Blastocystis with Helicobacter pylori (H.pylori). METHODOLOGY: A total of 314 stool samples were collected and examined microscopically for the detection of parasitic infection. DNA was extracted from all samples and utilized to identify Blastocystis molecularly. Positive samples were used for H. pylori detection by rapid tests and PCR. Moreover, we investigate polymorphism in the TNF-α gene at position -1031T/C, -308 G/A, and IL-1ß at position +3954C/T using polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) assay. RESULTS: Out of the 314 stool samples, Blastocystis was detected in 93 (29.6 %); among them, 54 (58.1 %) had a mixed infection of Blastocystis with H. pylori. The TT genotype of the IL-1ß gene at position +3954 was significantly higher in Blasocystis-infected patients than in uninfected patients (17.2% vs. 6.3 %, P = 0.02), which might be considered a risk factor (OR = 3.2; CI =1.21-8.52). The TNF-α at position -1031 TT genotype was significantly higher in Blastocystis-infected patients than uninfected patients (44.1% vs. 10.8 %, P< 0.0001). The T allele (OR= 2.67; CI=1.51-4.72, P = 0.0008) might be considered a risk factor. The TNF- α at position -308 AA genotype is higher in Blasocystis infected than uninfected (17.2% vs 7.2 %, P = 0.03). TNF-α -308 AA (OR = 2.72; CI = 1.08-6.89) and A allele (OR= 1.46; CI= 0.797-2.66) might be considered risk factors. The TNF- α at position -308 G/A showed that the GG is the most frequent genotype in Blastocystis with H. pylori-positive patients with a significant association (P = 0.004), as well as the G allele (P = 0.02). The G allele (OR=1.924; CI= 1.071-3.454) might be considered a risk factor for co-infection of Blastocystis and H. pylori. CONCLUSION: SNPs (-1031 T/C and -308 G/A) of the TNF-α and (+3954 C/T) of the IL-1ß may be a useful marker in the assessment of the risk of Blastocystis infection, and TNF-α at position -308 G/A) may be a predictor for co-infection of Blastocystis with H. pylori.

Neutrophil to lymphocytic ratio and other inflammatory markers as adverse outcome predictor in hospitalized COVID-19 patients.

Early risk classification of coronavirus disease 2019 (COVID-19) patients admitted to hospital is a critical key for providing optimal interventions. We investigated whether neutrophil-to-lymphocyte ratio (NLR) levels and other inflammatory and coagulation markers could be predictors for the severity and mortality of hospitalized COVID-19 patients. This cross-sectional study included 155 COVID-19 patients diagnosed by the reverse transcription polymerase chain reaction (RT-PCR) using oropharyngeal swabs. All patients had clinical examination, routine laboratory investigation, and chest computerized tomography scan. O2 saturation, serum D dimer, C reactive protein (CRP), erythrocyte sedimentation rate (ESR), lactate dehydrogenase (LDH), and serum ferritin were assessed. NLR can predict the adverse outcome (e.g., disease deterioration and shock) at cut-off 6.65, with 92% sensitivity and 20.7% specificity. LDH at cut-off value of 364.5 had 79.3% sensitivity and 47% specificity. Ferritin at a cut-off value of 1036 had 60.9% sensitivity and 60.6% specificity. NLR alone was not an independent predictor for ICU, however, combining NLR with ferritin and LDH predicted the need for ICU. Total leucocytic count (TLC), neutrophil count, lymphocytic count, D dimer, and CRP were independent predictors for the need of ICU admission (P < 0.05). Admitted patients to ICU and dead patients had higher COVID-19 Reporting and Data System, length of stay, LDH, and ferritin and lower O2 saturation than non-admitted and alive ones. We concluded that NLR with ferritin and LDH markers had higher degree of sensitivity and specificity in detecting adverse outcomes in COVID-19 patients. Other inflammatory biomarkers such as TLC, neutrophil, lymphocyte, D dimer, and CRP were predictive in this case.