The laboratory parameters in predicting the severity and death of COVID-19 patients: Future pandemic readiness strategies.

The range of clinical manifestations associated with the infection by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) encompasses a broad spectrum, ranging from flu-like symptoms to the occurrence of multiple organ failure and death. The severity of the coronavirus disease 2019 (COVID-19) is categorized based on clinical presentation and is divided into three distinct levels of severity identified as non-severe, severe, and critical. Although individuals of all age groups are susceptible to SARS-CoV-2 infection, middle-aged and older adults are more frequently impacted, with the latter being more likely to develop severe illness. Various laboratory characteristics observed in hospitalized COVID-19 patients have been correlated with adverse outcomes. These include elevated levels of D-dimer, liver enzymes, lactate dehydrogenase, C-reactive protein, ferritin, prothrombin time, and troponin, as well as decreased lymphocyte and platelets counts. This review investigated the relationship between baseline clinical characteristics, initial laboratory parameters upon hospital admission, and the severity of illness and mortality rates among COVID-19 patients. Although the COVID-19 pandemic has concluded, understanding the laboratory predictors of virus severity and mortality remains crucial, and examining these predictors can have long-term effects. Such insights can help healthcare systems manage resources more effectively and deliver timely and appropriate care by identifying and targeting high-risk individuals. This knowledge can also help us better prepare for future pandemics. By examining these predictors, we can take steps to protect public health and mitigate the impact of future pandemics.

Prevalence of MTHFR C677T single nucleotide polymorphism in genetically isolated populations in Jordan.

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.

The Circassians and the Chechens in Jordan: results of a decade of epidemiological and genetic studies.

Circassians and Chechens in Jordan, both with Caucasian ancestry, are genetically isolated due to high rate of endogamous marriages. Recent interest in these populations has led to studies on their genetic similarities, differences, and epidemiological differences in various diseases. Research has explored their predisposition to conditions like diabetes, hypertension, and cancer. Moreover, pharmacogenetic (PGx) studies have also investigated medication response variations within these populations, and forensic studies have further contributed to understanding these populations. In this review article, we first discuss the background of these minority groups. We then show the results of a principle component analysis (PCA) to investigate the genetic relationships between Circassian and Chechen populations living in Jordan. We here present a summary of the findings from the 10 years of research conducted on them. The review article provides a comprehensive summary of research findings that are truly valuable for understanding the unique genetic characteristics, diseases' prevalence, and medication responses among Circassians and Chechens living in Jordan. We believe that gaining deeper comprehension of the root causes of various diseases and developing effective treatment methods that benefit the society as a whole are imperative to engaging a wide range of ethnic groups in genetic research.

Genetic polymorphism of CYP2C19 in a Jordanian population: influence of allele frequencies of CYP2C19*1 and CYP2C19*2 on the pharmacokinetic profile of lansoprazole.

To relate the pharmacokinetics of orally administered lansoprazole in healthy adult Jordanian men with CYP2C19 polymorphisms and to determine the percentage of CYP2C19 polymorphism in Jordanian population and the allelic frequency of CYP2C19*2 and CYP2C19*3. A total of 78 healthy Jordanian volunteers were included in this study from three different bioequivalence studies, one of these studies which included 26 volunteers was done on lansoprazole. Genotyping for CYP2C19*1, CYP2C19*2, CYP2C19*3 was done for all 78 volunteers, the data of genotyping of all subjects used for screening the frequency of different genotypes and the allelic frequency of different polymorphisms in healthy Jordanian men, the pharmacokinetics and genotyping data for the study of lansoprazole was matched and compared to investigate presence of statistical differences in pharmacokinetic parameters. In Jordanian subjects, the allele frequencies of the CYP2C19*2 and CYP2C19*3 mutation were 0.16 and 0, respectively. The concentration-time curves in the two groups [homozygote extensive metabolizer (homEM, n = 19) and heterozygote extensive metabolizer (homEM, n = 7)] groups were fitted to a non-compartment model. In the homEM and in the hetEM groups, the main kinetic parameters were as follows: T(max) (2.1875 ± 0.777) and (2.54 ± 1.87) h, C(max) (697.875 ± 335) and (833.58 ± 436.26) mg/l, t(1/2) (1.3 ± 0.43) and (2.38 ± 1.64) h, AUC((0→∞)) were (1,684.9 ± 888) and (3,609.8 ± 318) mg h l(-1), respectively. The Jordanian population showed similarities in CYP2C19 allele and genotype distribution pattern with Caucasians and Africans. CYP2C19 allele and poor metabolizer (PM) genotype frequencies in the Jordanian population are distinct from populations' from East Asia such as Japanese and Koreans. Although lower pharmacokinetic parameters were found in homEM compared to hetEM but there was no significant difference between the two groups (P < 0.05).

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

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.

Allele and genotype frequencies of the polymorphic cytochrome P450 genes (CYP1A1, CYP3A4, CYP3A5, CYP2C9 and CYP2C19) in the Jordanian population.

Drug metabolizing enzymes participate in the neutralizing of xenobiotics and biotransformation of drugs. Human cytochrome P450, particularly CYP1A1, CYP2C9, CYP2C19, CYP3A4 and CYP3A5, play an important role in drug metabolism. The genes encoding the CYP enzymes are polymorphic, and extensive data have shown that certain alleles confer reduced enzymatic function. The goal of this study was to determine the frequencies of important allelic variants of CYP1A1, CYP2C9, CYP2C19, CYP3A4 and CYP3A5 in the Jordanian population and compare them with the frequency in other ethnic groups. Genotyping of CYP1A1(m1 and m2), CYP2C9 (2 and 3), CYP2C19 (2 and 3), CYP3A4 5, CYP3A5 (3 and 6), was carried out on Jordanian subjects. Different variants allele were determined using polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP). CYP1A1 allele frequencies in 290 subjects were 0.764 for CYP1A1 1, 0.165 for CYP1A1 2A and 0.071 for CYP1A1 2C. CYP2C9 allele frequencies in 263 subjects were 0.797 for CYP2C9 1, 0.135 for CYP2C9 2 and 0.068 for CYP2C9 3. For CYP2C19, the frequencies of the wild type (CYP2C19 1) and the nonfunctional (2 and 3) alleles were 0.877, 0.123 and 0, respectively. Five subjects (3.16 %) were homozygous for 2/2. Regarding CYP3A4 1B, only 12 subjects out of 173 subjects (6.9 %) were heterozygote with none were mutant for this polymorphism. With respect to CYP3A5, 229 were analyzed, frequencies of CYP3A5 1, 3 and 6 were 0.071, 0.925 and 0.0022, respectively. Comparing our data with that obtained in several Caucasian, African-American and Asian populations, Jordanians are most similar to Caucasians with regard to allelic frequencies of the tested variants of CYP1A1, CYP2C9, CYP2C19, CYP3A4 and CYP3A5.

Prevalence of desloratadine poor metabolizer phenotype in healthy Jordanian males.

PURPOSE: To study the prevalence of desloratadine slow metabolizer phenotype among a group of healthy Jordanian male volunteers. METHODS: A total of 62 healthy Jordanian male volunteers were included in this study. A single 5 mg desloratadine oral tablet was given and blood samples were taken to determine the desloratadine and 3-hydroxydesloratadine (3-OH-desloratadine) concentrations using a specific liquid chromatography-mass spectrometric method (LC/MS/MS). The determination of pharmacokinetic parameters of all the individuals was determined by using Kinetica® program version 4.1. Poor metabolizers or slow metabolizers of desloratadine were determined as individuals having a 3-OH-desloratadine to desloratadine exposure ratio lower than 10% or a desloratadine half-life ≥ 50 h. RESULTS: Among the 62 volunteers who participated in the study there were only two volunteers who were labeled as desloratadine slow metabolizers, giving a prevalence of 3.2%. The maximum plasma concentrations (C(max)) were similar in the extensive and slow metabolizers groups but a longer time (t(max)) was needed to achieve this concentration in one of the volunteers who was a desloratadine slow metabolizer. CONCLUSION: The incidence of the poor metabolizer phenotype of desloratadine in the Jordanian population studied is similar to certain ethnic groups (e.g. Asian, Caucasians and Hispanic); however, it is lower than other populations (e.g. American Indians and Black).

The effect of endurance, resistance training, and supplements on mitochondria and bioenergetics of muscle cells.

Bioenergetics is the study of energy flow between biological systems and the surroundings and is measured quantitatively. Energy flow can be affected by many variables, including lifestyle and exercise, where exercise comes in different types; endurance and resistance training play significant roles in enhancing bioenergetics and promoting health. In addition, a supplementary diet supports recovery and energy production. This review aims to study the effect of endurance training, resistance training, and supplement intake on the muscle cell's bioenergetics. As a conclusion of the information presented in this mini-review, it was found that resistance, endurance training, and supplements can increase mitochondrial biogenesis, fat oxidation, myofibril synthesis, and increase VO2 max.

Variability of CYP2C8 Polymorphisms in Three Jordanian Populations: Circassians, Chechens and Jordanian-Arabs.

CYP2C8 is a member of Cytochrome P450 enzymes system. It plays an important role in metabolizing a wide range of exogenous and endogenous compounds. CYP2C8 is involved in the metabolism of more than 100 drugs, typical substrates include: anticancer agents, antidiabetic agents, antimalarial agents, lipid lowering drugs and many others that constitute 20% of clinically prescribed drugs. Genetic variations of CYP2C8 have been reported with different frequencies in different populations. These genetic polymorphisms can lead to differences in the efficacy and safety of different types of medications metabolized by CYP2C8. The aim of this study was to investigate the allele frequencies of CYP2C8*3 (rs10509681 and rs11572080) and CYP2C8*4 (rs1058930) polymorphisms in three populations living in Jordan; Circassians and Chechens and Jordanian-Arabs and compare those frequencies with other populations. A total of 200 healthy Jordanians, 93 Circassians and 88 Chechens were included in this study. Genotyping of CYP2C8*3 and CYP2C8*4 polymorphisms was done by using polymerase chain reaction (PCR) followed by Restriction Fragment Length Polymorphism (RFLP). Using the Chi-square test, we found that the prevalence of CYP2C8*3 and *4 among the three populations were significantly different. Moreover, the mutant allele CYP2C8*3 (416A) was only detected in the Jordanian-Arab population with an allele frequency of 0.082, while the mutant allele CYP2C8*4 (792G) was detected with frequencies of 0.065, 0.122, 0.017 in Jordanian-Arabs, Circassians and Chechens, respectively. As our results show, CYP2C8*3 was undetectable in our Circassians and Chechens samples, on the other hand, Circassians had the highest allele frequency of CYP2C8*4 compared to Chechens and Jordanian-Arabs. These genetic variations of the gene encoding the CYP2C8 drug metabolizing enzymes can lead to clinical differences in drug metabolism and ultimately variations in drug effectiveness and toxicities. This study provides evidence for the importance of personalized medicine in these populations and can be the foundation for future clinical studies.

iOntoBioethics: A Framework for the Agile Development of Bioethics Ontologies in Pandemics, Applied to COVID-19.

Background: Few ontological attempts have been reported for conceptualizing the bioethics domain. In addition to limited scope representativeness and lack of robust methodological approaches in driving research design and evaluation of bioethics ontologies, no bioethics ontologies exist for pandemics and COVID-19. This research attempted to investigate whether studying the bioethics research literature, from the inception of bioethics research publications, facilitates developing highly agile, and representative computational bioethics ontology as a foundation for the automatic governance of bioethics processes in general and the COVID-19 pandemic in particular. Research Design: The iOntoBioethics agile research framework adopted the Design Science Research Methodology. Using systematic literature mapping, the search space resulted in 26,170 Scopus indexed bioethics articles, published since 1971. iOntoBioethics underwent two distinctive stages: (1) Manually Constructing Bioethics (MCB) ontology from selected bioethics sources, and (2) Automatically generating bioethics ontological topic models with all 26,170 sources and using special-purpose developed Text Mining and Machine-Learning (TM&ML) engine. Bioethics domain experts validated these ontologies, and further extended to construct and validate the Bioethics COVID-19 Pandemic Ontology. Results: Cross-validation of the MCB and TM&ML bioethics ontologies confirmed that the latter provided higher-level abstraction for bioethics entities with well-structured bioethics ontology class hierarchy compared to the MCB ontology. However, both bioethics ontologies were found to complement each other forming a highly comprehensive Bioethics Ontology with around 700 concepts and associations COVID-19 inclusive. Conclusion: The iOntoBioethics framework yielded the first agile, semi-automatically generated, literature-based, and domain experts validated General Bioethics and Bioethics Pandemic Ontologies Operable in COVID-19 context with readiness for automatic governance of bioethics processes. These ontologies will be regularly and semi-automatically enriched as iOntoBioethics is proposed as an open platform for scientific and healthcare communities, in their infancy COVID-19 learning stage. iOntoBioethics not only it contributes to better understanding of bioethics processes, but also serves as a bridge linking these processes to healthcare systems. Such big data analytics platform has the potential to automatically inform bioethics governance adherence given the plethora of developing bioethics and COVID-19 pandemic knowledge. Finally, iOntoBioethics contributes toward setting the first building block for forming the field of "Bioethics Informatics".

SLC30A8 gene polymorphism rs13266634 associated with increased risk for developing type 2 diabetes mellitus in Jordanian population.

BACKGROUND: Several genome-wide association studies (GWAS) have identified the single nucleotide polymorphism (SNP) rs13266634 in the Solute carrier family 30 member 8 (SLC30A8) gene as a risk factor to type 2 diabetes mellitus (T2DM). Nevertheless, other studies reported controversial findings of no significant association between the rs13266634 with T2DM. In this study, we aimed to investigate the association of this SNP with T2DM among Jordanian population in addition to define its corresponding allelic and genotypic frequencies. METHOD: This case-control study enrolled 358 T2DM patients and 326 healthy controls who fulfilled the inclusion criteria. Blood samples were collected from all participants and were used for the rs13266634 SNP genotyping by polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) technique. RESULTS: We demonstrated a significant association between the C/T rs13266634 SNP and T2DM among Jordanian population. A significant difference was found between the cases and controls regarding the allelic (P = 0.003) distribution. Compared to people having T allele, those with C allele had higher risk of T2DM (OR = 1.47 ; 95% CI: 1.14 - 1.89; P = 0.003). Having a CC genotype versus TT genotype was significantly associated with increased risk to T2DM (OR = 2.44; 95% CI: 1.16 - 5.12; P = 0.019) after adjusting for age, gender, and BMI. Under the recessive model, subjects with CC genotype were more likely to have T2DM compared to those with CT or TT genotypes, (OR = 1.64; 95% CI: 1.18 - 2.26; P = 0.003) after adjusting for age, gender and BMI. CONCLUSION: The rs13266634 SNP is significantly associated with T2DM susceptibility among Jordanian Population.

Genetic analysis of thiopurine methyltransferase polymorphism in the Jordanian population.

UNLABELLED: This study provides the first analysis of the TPMT mutant allele frequency in a sample of the Jordanian population and indicates that TPMT*3A is the most common allele in Jordanian subjects. PURPOSE: thiopurine methyltransferase TPMT catalyses the S-methylation of thiopurine drugs such as 6-mercaptopurine, 6-thioguanine, and azathiopurine. Thiopurine methyltransferase (TPMT) polymorphisms are the major determinants of interindividual differences in the severe haematological toxicity of 6-mercaptopurine. Several variants in the TPMT gene have been identified that correlate with a low activity phenotype. Four variant alleles, TPMT*2, TPMT*3A, TPMT*3B and TPMT*3C, are responsible for over 80% of the low or undetectable enzyme activity. The allelic frequency of TPMT variants has been established in many populations. METHODS: In this study, the frequencies of four (TPMT*2, TPMT*3A, TPMT*3B and TPMT*3C) variants were investigated in 169 healthy Jordanian men (18-45 years of age). Single nucleotide polymorphisms (SNPs) were genotyped using the Sequenom MassARRAY technology (Sequenom; San Diego, CA, USA). RESULTS: TPMT*3A and TPMT*3C were the only deficiency alleles detected in the Jordanian population with an allele frequency of 0.59% and 0.30% respectively. The TPMT*3A allele frequency is found to be lower than in the European Caucasian population. CONCLUSION: TPMT*3A and TPMT*3C were the only deficiency alleles detected in the Jordanian population with an allele frequency of 0.59% and 0.30% respectively. The TPMT*3A allele frequency is found to be lower than in the European Caucasian population.

Investigation of the forensic GlobalFiler loci in the genetically isolated Circassian subpopulation in Jordan.

Circassians are a Caucasian ethnic group who make up a significant minority in Jordan. Although other ethnic groups have been the subject of forensic genetic analysis, no published study has investigated the forensic genetic efficiency of short tandem repeats (STRs) in Circassians, neither in Jordan nor in any other country. The main objective of the current study is to determine the allelic frequencies and evaluate the forensic efficiency parameters of 21 highly polymorphic autosomal STR loci among the Circassian subpopulation in Jordan. The GlobalFiler loci were amplified using DNA extracted from the whole blood samples of 150 Jordanian Circassians. The SE33 locus was found to be the most informative and polymorphic STR marker while TPOX was the least informative. However, allele 8 of TPOX was the most common across all of the investigated 21 loci in Jordanian Circassians. The combined matching probability (CMP) and combined power of discrimination (CPD) were 5.02E-24 and 0.9999999, respectively.

Analysis of Comprehensive Pharmacogenomic Profiling of VIP Variants Among the Genetically Isolated Chechen Subpopulation from Jordan.

BACKGROUND: Profiling rare variants in isolated populations can significantly clarify and understand the development of a clinically relevant process. Therefore, leading to a better identifying novel targeted treatment. OBJECTIVE: This study aimed to determine the allele frequencies of 56 single nucleotide polymorphisms (SNPs) within several important pharmacogenes. METHODS: This study consisted of 166 unrelated subjects from a genetically isolated group (Chechen) who were living in Jordan. In this study, the distribution of the variants among Chechen was compared to other ethnic groups available at two databases (Genome 1000 and (ExAC)). The frequency of genotypes and alleles was calculated and tested using the chi-square test and the Hardy-Weinberg equilibrium equation (HWE). RESULTS: Our results revealed that the distribution of allele frequencies within different pharmacogenes among Chechen showed different similarities with other populations. The CEU and TSI showed the highest resemblance with the Chechen population (75% similarity), in contrast to LWK which had the lowest similarity (30%). CONCLUSION: This study sheds light on clinically relevant SNPs to enhance medical research and apply pharmacogenomics in clinical settings.

Genetic Analysis of Pharmacogenomic VIP Variants of ABCB1, VDR and TPMT Genes in an Ethnically Isolated Population from the North Caucasus Living in Jordan.

BACKGROUND: Differences in individual responses to the same medications remarkably differ among populations. A number of genes that play integral roles in drug responses have been designated as very important pharmacogenes (VIP), as they are responsible for differences in drug safety, efficacy, and adverse drug reactions among certain ethnic groups. Identifying the polymorphic distribution of VIP in a range of ethnic groups will be conducive to population-based personalized medicine. OBJECTIVE: The aim of the current study is to identify the polymorphic distribution of VIP regarding the Chechen minority group from Jordan and compare their allele frequencies with other populations. METHODS: A total of 131 unrelated Chechen individuals from Jordan were randomly recruited for blood collection. Identification of allelic and genotypic frequencies of eleven VIP variants within the genes of interest (ABCB1, VDR and TPMT) was carried out by means of the MassARRAY®System (iPLEX GOLD). RESULTS: Within ABCB1, we found that the minor allele frequencies of the rs1128503 (A: 0.43), rs2032582 (A: 0.43), rs1045642 (A: 0.43). For VDR, the minor allele frequencies of rs11568820 (T: 0.18), rs1540339 (T: 0.30), rs1544410 (T: 0.41), rs2228570 (T: 0.24), rs3782905 (C: 0.28) and rs7975232 (C: 0.45). Finally, the minor allele frequencies for the TPMT rs1142345 and rs1800460 polymorphisms were found to be (C: 0.02) and (T: 0.01), respectively. CONCLUSION: Significant differences in allelic frequencies of eleven ABCB1, VDR and TPMT VIP variants were found between Jordanian Chechens and other populations. In our study, most populations that are similar to Chechens are those from South Asian, European (Finnish) and European, including: Utah residents with Northern and Western European ancestry, Toscani in Italia, Mexican ancestry in Los Angeles and Circassian from Jordan. The level of similarity between Chechens and those populations means that they might have shared high levels of gene flow in the past. The results obtained in this study will contribute to the worldwide pharmacogenomic databases and provide valuable information for future studies and better individualized treatments.

Genetic Polymorphisms of Pharmacogenes among the Genetically Isolated Circassian Subpopulation from Jordan.

Several genetic variants have been identified that cause variation among different populations and even within individuals of a similar descent. This leads to interindividual variations in the optimal dose of the drug that is required to sustain the treatment efficiency. In this study, 56 single nucleotide polymorphisms (SNPs) within several pharmacogenes were analyzed in 128 unrelated subjects from a genetically isolated group of Circassian people living in Jordan. We also compared these variant distributions to other ethnic groups that are available at two databases (Genome 1000 and eXAC). Our results revealed that the distribution of allele frequencies within genes among Circassians in Jordan showed similarities and disparities when compared to other populations. This study provides a powerful base for clinically relevant SNPs to enhance medical research and future pharmacogenomic studies. Rare variants detected in isolated populations can significantly guide to novel loci involved in the development of clinically relevant traits.

The genetic landscape of Arab Population, Chechens and Circassians subpopulations from Jordan through HV1 and HV2 regions of mtDNA.

Mitochondrial DNA (mtDNA) is widely used in several fields including medical genetics, forensic science, genetic genealogy, and evolutionary anthropology. In this study, mtDNA haplotype diversity was determined for 293 unrelated subjects from Jordanian population (Circassians, Chechens, and the original inhabitants of Jordan). A total of 102 haplotypes were identified and analyzed among the populations to describe the maternal lineage landscape. Our results revealed that the distribution of mtDNA haplotype frequencies among the three populations showed disparity and significant differences when compared to each other. We also constructed mitochondrial haplotype classification trees for the three populations to determine the phylogenetic relationship of mtDNA haplotype variants, and we observed clear differences in the distribution of maternal genetic ancestries, especially between Arab and the minority ethnic populations. To our knowledge, this study is the first, to date, to characterize mitochondrial haplotypes and haplotype distributions in a population-based sample from the Jordanian population. It provides a powerful reference for future studies investigating the contribution of mtDNA variation to human health and disease and studying population history and evolution by comparing the mtDNA haplotypes to other populations.

Caffeine metabolic ratios for the in vivo evaluation of CYP1A2, N-acetyltransferase 2, xanthine oxidase and CYP2A6 enzymatic activities.

Phenotyping by probe substrates of cytochrome P450 (CYP) and other metabolizing enzymes is widely used to assess the effects of genes, environment and ethnicity on the in vivo metabolism of drugs and environmental chemicals. The caffeine metabolic ratio, in urine, plasma or saliva, has been used extensively as an index of CYP1A2, N-acetyltransferase 2 (NAT2), xanthine oxidase (XO) and CYP2A6 enzymatic activities. Phenotyping using plasma or saliva samples to measure the paraxanthine to caffeine (17X/137X) ratio correlates well with many measures of CYP1A2 activity. Various urinary metabolic ratios for caffeine phenotyping have been proposed, but shortcomings have been demonstrated for all the proposed urinary metabolic ratios. Several groups have proposed the urinary ratio of (1-methylxanthine (1X) + 1-methylurate (1U) + 5-acetylamino-6-formylamino-3-methyluracil (AFMU)) to 1, 7-dimethylurate (17U) i.e. (1X + 1U + AFMU)/17U as the preferred metabolic ratio for CYP1A2 activity (independent of urine flow rate). There is no consensus on the best urinary metabolic ratio for NAT2, XO or CYP2A6 enzymatic activities. Caffeine has been used by different groups to evaluate the in vivo activity of CYP1A2, NAT2, XO and CYP2A6 in different populations and the effect of many factors on these activities. Caffeine has been also used as a constituent of a "cocktail" to phenotype several enzymes simultaneously. In conclusion, phenotyping using caffeine as a probe substrate may still provide useful assessment of CYP1A2, NAT2, XO and CYP2A6 activities in epidemiologic and drug-drug interaction studies despite the limitations that are associated with its use.

Assessing the forensic efficiency of the GlobalFiler STR loci among the genetically isolated Chechen subpopulation in Jordan.

Short tandem repeats (STRs) are a widely utilized tool in forensic applications, the latter of which range from human identification and paternity testing to population analysis. The GlobalFiler STR loci, which includes 21 autosomal STRS, were analyzed in the Chechen subpopulation of Jordan. Whole blood samples were withdrawn from 159 Jordanian Chechen individuals, and genomic DNA was extracted from each sample. The GlobalFiler™ kit PCR Amplification Kit amplified and analyzed the STR loci on the 3130xl Genetic Analyzer using GeneMapper ID-X software. The combined match probability for the 21 autosomal STR loci was calculated to be 1.06 × 10-24, a number that is highly discriminatory and informative. The SE33 (0.983) and TPOX (0.806) loci exhibited the highest and lowest powers of discrimination, respectively. Conclusively, the current study indicates that the GlobalFiler loci have a high utility in the Jordanian Chechen population, possibly paving the way for the future establishment of a reference population database in Jordan.

Genetic Polymorphisms of Pharmacogenomic VIP Variants in the Circassian Subpopulation from Jordan.

BACKGROUND: It has been suggested that genetic variation within candidate pharmacogenes contributes to the differences in drug safety and efficacy as well as risk of adverse drug reactions among different ethnic groups. Illustrating the polymorphic distribution of Very Important Pharmacogenes (VIPs) in various ethnic groups will contribute to the development of personalized medicine for those populations. OBJECTIVE: The present study aimed to identify the polymorphic distribution of VIPs in the Circassian subpopulation of Jordan and compare their allele frequencies with those of other populations. METHODS: A total of 130 healthy and unrelated Circassian adults from Jordan were randomly recruited and genotyped for eleven VIP variants within the thiopurine S-methyltransferase (TPMT), ATP-binding cassette, sub-family B, member 1 (ABCB1), and vitamin D receptor (VDR) genes via Sequenom's MassARRAY® genotyping platform (iPLEX GOLD). RESULTS: Our data on the allelic frequencies of the investigated VIP variants were compared to those of 18 other populations, comprising 11 HapMap populations, 6 Exome Aggregation Consortium populations, and the Chechen- Jordanian population from Jordan. Circassian-Jordanians were found to most resemble the African, Chechen- Jordanian, European (Finnish), European (non-Finnish), and South-Asian populations. CONCLUSION: Circassians from Jordan significantly differ from other populations in terms of the allelic frequencies of selected VIP variants. The present findings constitute the first set of pharmacogenetic data for Circassian population from Jordan, providing a basis for safe drug administration that may be useful in diagnosing and treating diseases in this ethnic group.