Biomedical subjects

Nathalie K Zgheib

Publications and source records attributed to Nathalie K Zgheib.

3 recordsLinked to original sources

PubMed2025

The role of candidate genetic polymorphisms in covid-19 susceptibility and outcomes.

BACKGROUND: This study aims to investigate the association between candidate host genetic polymorphisms and COVID-19 susceptibility, severity, hospitalization, hypoxia, and their combined effect, measured by the polygenic risk score (PRS). METHODS: Three hundred and seventy-six Lebanese participants, comprising 151 controls and 225 cases, were included. Clinical data were obtained from questionnaires and medical records. DNA isolated from peripheral blood was genotyped for ACE1 rs1799752, ACE2 rs2074192, TMPRSS2 rs75603675 and OAS1 rs107746771 using TaqMan assays, and for TMPRSS2 rs35074065 using Sanger Sequencing. Candidate genetic variants were analyzed in association with COVID-19 susceptibility, severity, hospitalization and hypoxia, using univariate and multivariate models. PRS constructed from the weighted sum of variants was evaluated in association with COVID-19 outcomes. RESULTS: In this study, there were no statistically significant differences in the frequencies of candidate variant alleles between cases, controls and within disease outcomes subgroups, after adjustment for confounders. PRS was not associated with COVID-19 susceptibility and hospitalization, it however significantly predicted COVID-19 severity (P = 0.01). CONCLUSION: This study highlights the importance of genetic testing for key host genes involved in COVID-19 life cycle and eventually measuring the PRS which proves to be an important tool for prognosis assessment in vulnerable individuals, potentially enhancing patient care.

Polymorphism, Genetic↗

PubMed2006

Liver disease selectively modulates cytochrome P450--mediated metabolism.

BACKGROUND: The liver plays a significant role in drug metabolism; thus it would be expected that liver disease may have a detrimental effect on the activity of cytochrome P450 (CYP) enzymes. The extent to which the presence and severity of liver disease affect the activity of different individual drug-metabolizing enzymes is still not well characterized. The purpose of this study was to assess the effect of liver disease on multiple CYP enzymes by use of a validated cocktail approach. METHODS: The participants in this investigation were 20 patients with different etiologies and severity of liver disease and 20 age-, sex-, and weight-matched healthy volunteers. Liver disease severity was categorized by use of the Child-Pugh score. All participants received a cocktail of 4 oral drugs simultaneously, caffeine, mephenytoin, debrisoquin (INN, debrisoquine), and chlorzoxazone, as in vivo probes of the drug-metabolizing enzymes CYP1A2, CYP2C19, CYP2D6, and CYP2E1, respectively. The primary end points were measurements of specific CYP metabolism indexes for each enzyme. RESULTS: Mephenytoin metabolism was significantly decreased in both patients with mild liver disease (Child-Pugh score of 5/6) (-63% [95% confidence interval (CI), -86% to -40%]; P = .0003) and patients with moderate to severe liver disease (Child-Pugh score >6) (-80% [95% CI, -95% to -64%]; P = .0003). In comparison with control subjects, the caffeine metabolic ratio was 69% lower (95% CI, -85% to -54%; median, 0.14 versus 0.62; P = .0003), the debrisoquin recovery ratio was 71% lower (95% CI, -96% to -47%; median, 0.10 versus 0.65; P = .012), and the chlorzoxazone metabolic ratio was 60% lower (95% CI, -91% to -29%; median, 0.21 versus 0.83; P = .0111) in patients with moderate to severe liver disease. All 4 drugs showed significant negative relationships with the Child-Pugh score. CONCLUSIONS: CYP enzyme activity is differentially affected by the presence of liver disease. We propose that the data can be explained by the "sequential progressive model of hepatic dysfunction," whereby liver disease severity has a differential effect on the metabolic activity of specific CYP enzymes.

Administration, Oral↗

PubMed2006

Validation of incorporating flurbiprofen into the Pittsburgh cocktail.

BACKGROUND: We have previously shown that flurbiprofen metabolism to 4'-hydroxyflurbiprofen provides an in vivo measure of cytochrome P450 (CYP) 2C9 activity. This study evaluated the possibility of incorporating flurbiprofen into the current 5-drug Pittsburgh cocktail. METHODS: In a randomized, 3-way, Latin-square, crossover-design study, 24 healthy subjects (mean age [+/-SD], 47.8 +/- 15.1 years) received flurbiprofen (50 mg) and the Pittsburgh 5-drug cocktail (100 mg caffeine, 100 mg mephenytoin, 10 mg debrisoquin [INN, debrisoquine], 250 mg chlorzoxazone, and 100 mg dapsone) separately and in combination on 3 occasions over a period of 5 weeks. Urine was collected from 0 to 8 hours, and plasma was obtained at 4 and 8 hours after drug administration. Parent drug and metabolite concentrations were measured to determine phenotypic indices for each of the metabolizing enzymes. RESULTS: The geometric mean ratio and 90% confidence interval of the phenotypic indices were included within the 80% to 125% bioequivalence range for each of the probe drugs. There were no statistically significant differences between the phenotypic indices determined after administration of the 5-drug and 6-drug cocktails. However, there was a small but statistically significant increase (7.5%, P = .03) in the 8-hour urinary flurbiprofen recovery ratio after administration of the 6-drug cocktail compared with that after administration of flurbiprofen alone. The 6-drug cocktail was well tolerated. CONCLUSION: The results of this study show that caffeine (CYP1A2), chlorzoxazone (CYP2E1), dapsone (N-acetyltransferase 2), debrisoquin (CYP2D6), flurbiprofen (CYP2C9), and mephenytoin (CYP2C19) can be simultaneously administered in low doses without metabolic interaction.

Administration, Oral↗