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Dive into the research topics where Nancy Hakooz is active.

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Featured researches published by Nancy Hakooz.


Drug Metabolism and Disposition | 2005

PREDICTION OF METABOLIC CLEARANCE USING CRYOPRESERVED HUMAN HEPATOCYTES: KINETIC CHARACTERISTICS FOR FIVE BENZODIAZEPINES

David Hallifax; Helen Rawden; Nancy Hakooz; J. Brian Houston

Predictions of intrinsic clearance (CLint) from human liver microsomes often underestimate in vivo observations. In this study, a series of five benzodiazepines was used as prototypic CYP3A4 substrates to investigate the prediction of clearance from the less studied alternative in vitro system, cryopreserved human hepatocytes. Formation of the two major metabolites from midazolam, triazolam, diazepam, flunitrazepam, and alprazolam was measured in cryopreserved human hepatocytes from five donors; the kinetics were characterized and CLint values were determined and scaled to predict CLint in vivo. At least one of the two major pathways of metabolic clearance of each benzodiazepine was characterized by autoactivation in hepatocytes; the extent to which this occurred varied depending on substrate and liver (up to 8-fold). Heteroactivation by testosterone of these pathways was also observed (up to 6-fold). The maximum autoactivated clearance was used to predict in vivo CLint (1.6–138 ml/min/kg) which closely agreed with values previously obtained using human liver microsomes. Comparison with in vivo CLint indicates that cryopreserved human hepatocytes systematically underpredict CLint. When three previous studies (documenting CLint for substrates of various enzymes in cryopreserved human hepatocytes using drug depletion-time profiles) were considered as well, the combined data show a consistent underprediction of 5.6-fold. Collectively it is demonstrated that the predicted hepatic intrinsic clearances from cryopreserved hepatocytes show an excellent rank order with in vivo findings but are systematically underpredicting the in vivo value.


Current Drug Metabolism | 2007

Effects of Dietary Broccoli on Human in Vivo Caffeine Metabolism: A Pilot Study on a Group of Jordanian Volunteers

Nancy Hakooz; Imad Hamdan

OBJECTIVES Induction or inhibition of cytochrome P450 (CYP) enzyme activities, enzymes that activate or detoxify xenobiotics, is one mechanism by which vegetables may alter cancer risk. As the effect of food on CYP enzyme activities have not been studied in the Jordanian population, we examined the effect of supplementing the diet with broccoli on CYP1A2 and CYP2A6 activities. METHODS Five men and five women, non-smokers, consumed a standard diet of broccoli (500 g) for 6 days. Enzyme activities were determined by measuring urinary metabolite ratios after a 100 mg caffeine tablet on the seventh day. RESULTS The mean CYP1A2 activity for men (21.1+/-3.2) was significantly lower than that for women (27.6+/-1.6) before the consumption of broccoli (P<0.05). These activities were significantly induced in both men (52.5+/-6.6) and women (36.6+/-8.4) after a standard diet of broccoli (P<0.005). Similarly, the mean value of CYP2A6 activity for men was 0.061+/-0.040 and for women, 0.144+/-0.039 before consumption of broccoli, which were significantly different (P<0.05). The activity of CYP2A6 was induced in both groups significantly after broccoli consumption (P<0.05). The mean value for men was 0.193+/-0.02 and for women, 0.214+/-0.064. CONCLUSION Our study on a group of Jordanians confirmed the well-established observation that broccoli induces CYP1A2 activity. This study also demonstrates the effect of gender and broccoli consumption on CYP2A6 activity in Jordanians.


Molecular Biology Reports | 2012

UDP-glucuronosyltransferase 1A4 (UGT1A4) polymorphisms in a Jordanian population

Nancy Hakooz; Sameh Alzubiedi; Al-Motassem Yousef; Tawfiq Arafat; Rana Dajani; Nidaa Ababneh; Said I. Ismail

Glucuronidation is one of the most important phase II metabolic pathways. It is catalyzed by a family of UDP-glucuronosyltransferase enzymes (UGTs). One of the subfamilies is UGT1A. Allele frequencies in UGT1A4 differ among ethnic groups. The aim of this study was to determine the allelic frequency of two most common defective alleles: UGT1A4*2 and UGT1A4*3 in a Jordanian population. A total of 216 healthy Jordanian Volunteers (165 males and 51 females) were included in this study. Genotyping for UGT1A4*1, UGT1A4*2 and UGT1A4*3 was done using a well established polymerase chain reaction–restriction fragment length polymorphism test. Among 216 random individuals studied for UGT1A4*2 mutation there were 26 individuals who were heterozygous, giving a prevalence of 12% and an allele frequency of 6.5%. Only one individual was homozygous for UGT1A4*2. The UGT1A4*3 mutation was detected as heterozygous in 9 of 216 individuals indicating a prevalence of 4.2% and allele frequency of 3.5%. Three individuals were homozygous for the UGT1A4*3 indicating a prevalence of 1.4%. The prevalence of UGT1A4*2 is similar to the Caucasians but different from other populations whilst the UGT1A4*3 prevalence in the Jordanian population is distinct from other populations. Our results provide useful information for the Jordanian population and for future genotyping of Arab populations in general.


Scientific Reports | 2015

CNV Analysis Associates AKNAD1 with Type-2 Diabetes in Jordan Subpopulations.

Rana Dajani; Jin Li; Zhi Wei; Joseph T. Glessner; Xiao Chang; Christopher J. Cardinale; Renata Pellegrino; Tiancheng Wang; Nancy Hakooz; Yousef Khader; Amina Sheshani; Duaa Zandaki; Hakon Hakonarson

Previous studies have identified a number of single nucleotide polymorphisms (SNPs) associated with type-2 diabetes (T2D), but copy number variation (CNV) association has rarely been addressed, especially in populations from Jordan. To investigate CNV associations for T2D in populations in Jordan, we conducted a CNV analysis based on intensity data from genome-wide SNP array, including 34 T2D cases and 110 healthy controls of Chechen ethnicity, as well as 34 T2D cases and 106 healthy controls of Circassian ethnicity. We found a CNV region in protein tyrosine phosphatase receptor type D (PTPRD) with significant association with T2D. PTPRD has been reported to be associated with T2D in genome-wide association studies (GWAS). We additionally identified 16 CNV regions associated with T2D which overlapped with gene exons. Of particular interest, a CNV region in the gene AKNA Domain Containing 1 (AKNAD1) surpassed the experiment-wide significance threshold. Endoplasmic reticulum (ER)-related pathways were significantly enriched among genes which are predicted to be functionally associated with human or mouse homologues of AKNAD1. This is the first CNV analysis of a complex disease in populations of Jordan. We identified and experimentally validated a significant CNVR in gene AKNAD1 associated with T2D.


Biopharmaceutics & Drug Disposition | 2012

Prevalence of desloratadine poor metabolizer phenotype in healthy Jordanian males.

Nancy Hakooz; Isam I. Salem

To study the prevalence of desloratadine slow metabolizer phenotype among a group of healthy Jordanian male volunteers.


Biochemical Genetics | 2013

Prevalence of MTHFR C677T Single Nucleotide Polymorphism in Genetically Isolated Populations in Jordan

Rana Dajani; Raja Mohd-Talal Fathallah; Ala Arafat; Mohammed Emad AbdulQader; Nancy Hakooz; Yousef Al-Motassem; Mohammad El-Khateeb

Methylenetetrahydrofolate reductase (MTHFR) C677T single nucleotide polymorphism is a major inherited risk factor of venous thromboembolism. We sought to determine its prevalence in genetically isolated populations of Chechens and Circassians in Jordan. The MTHFR C677T mutation was analyzed from blood samples taken from 120 random unrelated Chechens and 72 Circassians. The prevalence of the MTHFR mutation in the Chechen population was 27.5% (allele frequency 15%); the prevalence among the Circassians was 50% (allele frequency 29.2%). The prevalence in the Chechen population is similar to that in Jordan and other world populations, but it is higher in the Circassian population. This study will contribute to understanding the interaction between genetic and environmental risk factors underlying thrombosis and will be useful in deciding which genetic variants should be tested in a clinical genetic testing service.


PeerJ | 2017

Genome-wide association study identifies novel type II diabetes risk loci in Jordan subpopulations

Rana Dajani; Jin Li; Zhi Wei; Michael March; Qianghua Xia; Yousef Khader; Nancy Hakooz; Raja Fatahallah; Mohammed El-Khateeb; Ala Arafat; Tareq Saleh; Abdel Rahman Dajani; Zaid Al-Abbadi; Mohamed Abdul Qader; Abdel Halim Shiyab; Anwar M. Bateiha; Kamel Ajlouni; Hakon Hakonarson

The prevalence of Type II Diabetes (T2D) has been increasing and has become a disease of significant public health burden in Jordan. None of the previous genome-wide association studies (GWAS) have specifically investigated the Middle East populations. The Circassian and Chechen communities in Jordan represent unique populations that are genetically distinct from the Arab population and other populations in the Caucasus. Prevalence of T2D is very high in both the Circassian and Chechen communities in Jordan despite low obesity prevalence. We conducted GWAS on T2D in these two populations and further performed meta-analysis of the results. We identified a novel T2D locus at chr20p12.2 at genome-wide significance (rs6134031, P = 1.12 × 10−8) and we replicated the results in the Wellcome Trust Case Control Consortium (WTCCC) dataset. Another locus at chr12q24.31 is associated with T2D at suggestive significance level (top SNP rs4758690, P = 4.20 × 10−5) and it is a robust eQTL for the gene, MLXIP (P = 1.10 × 10−14), and is significantly associated with methylation level in MLXIP, the functions of which involves cellular glucose response. Therefore, in this first GWAS of T2D in Jordan subpopulations, we identified novel and unique susceptibility loci which may help inform the genetic underpinnings of T2D in other populations.


Drug Metabolism and Personalized Therapy | 2017

Effects of the genetic variants of organic cation transporters 1 and 3 on the pharmacokinetics of metformin in Jordanians

Nancy Hakooz; Yazun Bashir Jarrar; Malik Zihlif; Amer Imraish; Saja Hamed; Tawfiq Arafat

Abstract Background: Human response to the antidiabetic metformin is influenced by some factors, such as genetic variants in the SLC22A genes. This study aimed to determine the frequency of main SLC22A1 and SLC22A3 genetic variants and their influence on metformin pharmacokinetics among healthy unrelated Arab Jordanians. Patients and methods: The SLC22A1 and SLC22A3 genes were genotyped by DNA sequencing of exons 1, 3, 7, and 9 in the SLC22A1 gene and exons 6, 7, and 9 in the SLC22A3 gene. Then, a clinical pharmacokinetic study was conducted on 26 healthy volunteers. The pharmacokinetic parameters were calculated using non-compartmental model analysis. The study was an open-label, randomized study with single 1000 mg metformin administration. Results: Results showed that volunteers with SLC22A3 rs8187722 variant had higher (χ2, p<0.05) metformin Cmax and AUC values than the wild SLC22A3 volunteers, whereas T½ and Kel were not affected. In addition, volunteers with the heterozygote SLC22A3 rs2292334 variant had significantly higher (χ2, p<0.05) metformin Cmax and AUC and lower Kel values than the wild-type SLC22A3 genotype. Conclusions: The SLC22A3 rs8187722 and rs2292334 genetic variants affected metformin pharmacokinetics among a clinical sample of Jordanians. The findings may increase our understanding of the inter-individual and inter-ethnic variations in metformin response.


British Journal of Clinical Pharmacology | 2001

Microsomal prediction of in vivo clearance of CYP2C9 substrates in humans

David J. Carlile; Nancy Hakooz; Martin K. Bayliss; J. Brian Houston


Pharmaceutical Research | 2006

Determination of a Human Hepatic Microsomal Scaling Factor for Predicting in Vivo Drug Clearance

Nancy Hakooz; Kiyomi Ito; Helen Rawden; Helen Gill; Lynn Lemmers; Alan R. Boobis; Robert J. Edwards; David J. Carlile; Brian G. Lake; J. Brian Houston

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Yousef Khader

Jordan University of Science and Technology

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