Drug Metab Pers Ther. 2024 Jul 15. doi: 10.1515/dmpt-2024-0003. Online ahead of print.

ABSTRACT

INTRODUCTION: The completion of the Human Genome Project in 2003 marked the beginning of a transformative era in medicine. This milestone laid the foundation for personalized medicine, an innovative approach that customizes healthcare treatments.

CONTENT: Central to the advancement of personalized medicine is the understanding of genetic variations and their impact on drug responses. The integration of artificial intelligence (AI) into drug response trials has been pivotal in this domain. These technologies excel in handling large-scale genomic datasets and patient histories, significantly improving diagnostic accuracy, disease prediction and drug discovery. They are particularly effective in addressing complex diseases such as cancer and genetic disorders. Furthermore, the advent of wearable technology, when combined with AI, propels personalized medicine forward by offering real-time health monitoring, which is crucial for early disease detection and management.

SUMMARY: The integration of AI into personalized medicine represents a significant advancement in healthcare, promising more accurate diagnoses, effective treatment plans and innovative drug discoveries.

OUTLOOK: As technology continues to evolve, the role of AI in enhancing personalized medicine and transforming the healthcare landscape is expected to grow exponentially. This synergy between AI and healthcare holds great promise for the future, potentially revolutionizing the way healthcare is delivered and experienced.

PMID:38997240 | DOI:10.1515/dmpt-2024-0003

Cells. 2024 Jun 26;13(13):1106. doi: 10.3390/cells13131106.

ABSTRACT

Uterine leiomyosarcoma (uLMS) is the most common subtype of uterine sarcomas. They have a poor prognosis with high rates of recurrence and metastasis. The five-year survival for uLMS patients is between 25 and 76%, with survival rates approaching 10-15% for patients with metastatic disease at the initial diagnosis. Accumulating evidence suggests that several biological pathways are involved in uLMS pathogenesis. Notably, drugs that block abnormal functions of these pathways remarkably improve survival in uLMS patients. However, due to chemotherapy resistance, there remains a need for novel drugs that can target these pathways effectively. In this review article, we provide an overview of the recent progress in ascertaining the biological functions and regulatory mechanisms in uLMS from the perspective of aberrant biological pathways, including DNA repair, immune checkpoint blockade, protein kinase and intracellular signaling pathways, and the hedgehog pathway. We review the emerging role of epigenetics and epitranscriptome in the pathogenesis of uLMS. In addition, we discuss serum markers, artificial intelligence (AI) combined with machine learning, shear wave elastography, current management and medical treatment options, and ongoing clinical trials for patients with uLMS. Comprehensive, integrated, and deeper insights into the pathobiology and underlying molecular mechanisms of uLMS will help develop novel strategies to treat patients with this aggressive tumor.

PMID:38994959 | DOI:10.3390/cells13131106

Br J Clin Pharmacol. 2024 Jul 12. doi: 10.1111/bcp.16172. Online ahead of print.

ABSTRACT

AIMS: Tacrolimus, metabolized by CYP3A4 and CYP3A5 enzymes, is susceptible to drug-drug interactions (DDI). Steroids induce CYP3A genes to increase tacrolimus clearance, but the effect is variable. We hypothesized that the extent of the steroid-tacrolimus DDI differs by CYP3A4/5 genotypes.

METHODS: Kidney transplant recipients (n = 2462) were classified by the number of loss of function alleles (LOF) (CYP3A5*3, *6 and *7 and CYP3A4*22) and steroid use at each tacrolimus trough in the first 6 months post-transplant. A population pharmacokinetic analysis was performed by nonlinear mixed-effect modelling (NONMEM) and stepwise covariate modelling to define significant covariates affecting tacrolimus clearance. A stochastic simulation was performed and translated into a Shiny application with the mrgsolve and Shiny packages in R.

RESULTS: Steroids were associated with modestly higher (3%-11.8%) tacrolimus clearance. Patients with 0-LOF alleles receiving steroids showed the greatest increase (11.8%) in clearance compared to no steroids, whereas those with 2-LOFs had a negligible increase (2.6%) in the presence of steroids. Steroid use increased tacrolimus clearance by 5% and 10.3% in patients with 1-LOF and 3/4-LOFs, respectively.

CONCLUSIONS: Steroids increase the clearance of tacrolimus but vary slightly by CYP3A genotype. This is important in individuals of African ancestry who are more likely to carry no LOF alleles, may more commonly receive steroid treatment, and will need higher tacrolimus doses.

PMID:38994750 | DOI:10.1111/bcp.16172

Brief Funct Genomics. 2024 Jul 12:elae029. doi: 10.1093/bfgp/elae029. Online ahead of print.

ABSTRACT

Recent advances in high-throughput molecular methods have led to an extraordinary volume of genomics data. Simultaneously, the progress in the computational implementation of novel algorithms has facilitated the creation of hundreds of freely available online tools for their advanced analyses. However, a general overview of the most commonly used tools for the in silico analysis of genomics data is still missing. In the current article, we present an overview of commonly used online resources for genomics research, including over 50 tools. This selection will be helpful for scientists with basic or intermediate skills in the in silico analyses of genomics data, such as researchers and students from wet labs seeking to strengthen their computational competencies. In addition, we discuss current needs and future perspectives within this field.

PMID:38993146 | DOI:10.1093/bfgp/elae029

Transpl Immunol. 2024 Jul 9:102084. doi: 10.1016/j.trim.2024.102084. Online ahead of print.

ABSTRACT

BACKGROUND: T-cell immunoglobulin and mucin-domain containing-3 (TIM-3) molecule is a key regulator of the immune response by exerting an inhibitory effect on various types of immune cells. Understanding the role of TIM-3 in hematopoietic stem cell transplantation (HSCT) may improve transplant outcomes. Our study evaluated the potential association between TIM-3 polymorphisms, namely rs1036199 (A > C) or rs10515746 (C > A), changes which are located in exon 3 and the promoter region of the TIM-3 gene, and post-HSCT outcomes.

METHODS: One-hundred and twenty allogeneic HSCT patients and their respective donors were enrolled and genotyped for TIM-3 single nucleotide polymorphisms (SNPs) using real-time PCR with TaqMan assays.

RESULTS: We found that the presence of the rare alleles and heterozygous genotypes of studied SNP in recipients tended to protect against or increase the risk for acute graft-versus-host disease (aGvHD). For the rs1036199 polymorphism, recipients with the AC heterozygous genotype (p = 0.0287) or carrying the rarer C allele (p = 0.0334) showed a lower frequency of aGvHD development along all I-IV grades. A similar association was detected for the rs10515746 polymorphism as recipients with the CA genotype (p = 0.0095) or the recessive A allele (p = 0.0117) less frequently developed aGvHD. Furthermore, the rarer A allele of rs10515746 SNP was also associated with a prolonged aGvHD-free survival (p = 0.0424). Cytomegalovirus (CMV) infection was more common in patients transplanted with TIM-3 rs10515746 mismatched donors (p = 0.0229) and this association was also found to be independent of HLA incompatibility and pre-transplant CMV-IgG status. Multivariate analyses confirmed the role of these recessive alleles and TIM-3 incompatibility as an independent factor in aGvHD and CMV development.

CONCLUSIONS: Polymorphism of TIM-3 molecule may affect the immune response in HSCT patients. The recessive alleles of rs1036199 and rs10515746 SNPs decreased the risk of developing aGvHD. TIM-3 donor-recipient genetic matching may also affect the risk of post-transplant CMV infection, indicating the potential value of genetic profiling in optimizing transplant strategies.

PMID:38992477 | DOI:10.1016/j.trim.2024.102084

Pharmacogenomics J. 2024 Jul 12;24(4):22. doi: 10.1038/s41397-024-00342-1.

ABSTRACT

Bevacizumab-induced hypertension poses a therapeutic challenge and identifying biomarkers for hypertension can enhance therapy safety. Lower plasma levels of VEGF-A, angiopoietin-2, and rs6770663 in KCNAB1 were previously associated with increased risk of bevacizumab-induced hypertension. This study investigated whether these factors independently contribute to grade 2-3 bevacizumab-induced hypertension risk in 277 cancer patients (CALGB/Alliance 90401). Multivariable analyses assessed the independent association of each factor and hypertension. Likelihood ratio test (LRT) evaluated the explanatory significance of combining protein levels and rs6770663 in predicting hypertension. Boostrap was employed to assess the mediation effect of protein levels on the rs6770663 association with hypertension. Lower protein levels and rs6770663 were independently associated with increased hypertension risk. Adding rs6770663 to protein levels improved the prediction of hypertension (LRT p = 0.0002), with no mediation effect observed. Protein levels of VEGF-A, angiopoietin-2 and rs6770663 in KCNAB1 are independent risk factors and, when combined, may improve prediction of bevacizumab-induced hypertension. ClinicalTrials.gov Identifier: NCT00110214.

PMID:38992025 | DOI:10.1038/s41397-024-00342-1

J Immunother Cancer. 2024 Jul 11;12(7):e009399. doi: 10.1136/jitc-2024-009399.

ABSTRACT

BACKGROUND: Metabolomics has the characteristics of terminal effects and reflects the physiological state of biological diseases more directly. Several current biomarkers of multiple omics were revealed to be associated with immune-related adverse events (irAEs) occurrence. However, there is a lack of reliable metabolic biomarkers to predict irAEs. This study aims to explore the potential metabolic biomarkers to predict risk of irAEs and to investigate the association of plasma metabolites level with survival in patients with lung cancer receiving PD-1/PD-L1 inhibitor treatment.

METHODS: The study collected 170 plasmas of 85 patients with lung cancer who received immune checkpoint inhibitors (ICIs) treatment. 58 plasma samples of 29 patients with irAEs were collected before ICIs treatment and at the onset of irAEs. 112 plasma samples of 56 patients who did not develop irAEs were collected before ICIs treatment and plasma matched by treatment cycles to onset of irAEs patients. Untargeted metabolomics analysis was used to identify the differential metabolites before initiating ICIs treatment and during the process that development of irAEs. Kaplan-Meier curves analysis was used to detect the associations of plasma metabolites level with survival of patients with lung cancer.

RESULTS: A total of 24 differential metabolites were identified to predict the occurrence of irAEs. Baseline acylcarnitines and steroids levels are significantly higher in patients with irAEs, and the model of eight acylcarnitine and six steroid metabolites baseline level predicts irAEs occurrence with area under the curve of 0.91. Patients with lower concentration of baseline decenoylcarnitine(AcCa(10:1) 2, decenoylcarnitine(AcCa(10:1) 3 and hexanoylcarnitine(AcCa(6:0) in plasma would have better overall survival (OS). Moreover, 52 differential metabolites were identified related to irAEs during ICIs treatment, dehydroepiandrosterone sulfate, corticoserone, cortisol, thyroxine and sphinganine 1-phaosphate were significantly decreased in irAEs group while oxoglutaric acid and taurocholic acid were significantly increased in irAEs group.

CONCLUSIONS: High levels of acylcarnitines and steroid hormone metabolites might be risk factor to development of irAEs, and levels of decenoylcarnitine (AcCa(10:1) 2, decenoylcarnitine (AcCa(10:1) 3 and hexanoylcarnitine (AcCa(6:0) could be used to predict OS for patients with lung cancer received ICIs treatment.

PMID:38991728 | DOI:10.1136/jitc-2024-009399

PLoS One. 2024 Jul 11;19(7):e0306445. doi: 10.1371/journal.pone.0306445. eCollection 2024.

ABSTRACT

Clopidogrel is widely used worldwide as an antiplatelet therapy in patients with acute coronary disease. Genetic factors influence interindividual variability in response. Some studies have explored the polygenic contributions in the drug response, generating pharmacogenomic risk scores (PgxPRS). Importantly, these factors are less explored in underrepresented populations, such as Latin-American countries. Identifying patients at risk of high-on-treatment platelet reactivity (HTPR) is highly valuable in translational medicine. In this study we used a custom next-generation sequencing (NGS) panel composed of 91 single nucleotide polymorphisms (SNPs) and 28 genes related to clopidogrel metabolism, to analyze 70 patients with platelet reactivity values, assessed through closure time (CT). Our results demonstrated the association of SNPs with HTPR and non-HTPR, revealing the strongest associations with rs2286823 (OR: 5,0; 95% CI: 1,02-24,48; p: 0,03), rs2032582 (OR: 4,41; 95% CI: 1,20-16,12; p: 0,019), and rs1045642 (OR: 3,38; 95% CI: 0,96-11,9; p: 0,05). Bivariate regression analysis demonstrated the significant association of several SNPs with the CT value, a "surrogate" biomarker of clopidogrel response. Exploratory results from the LASSO regression model showed a high discriminatory capacity between HTPR and non-HTPR patients (AUC: 0,955), and the generated PgxPRS demonstrated a significant negative association between the risk score, CT value, and the condition of HTPR and non-HTPR. To our knowledge, our study addresses for the first time the analysis of the polygenic contribution in platelet reactivity using NGS and establishes PgxPRS derived from the LASSO model. Our results demonstrate the polygenic implication of clopidogrel response and offer insights applicable to the translational medicine of antiplatelet therapy in an understudied population.

PMID:38991024 | DOI:10.1371/journal.pone.0306445

Hum Genomics. 2024 Jul 10;18(1):78. doi: 10.1186/s40246-024-00612-w.

ABSTRACT

Pharmacogenetics investigates sequence of genes that affect drug response, enabling personalized medication. This approach reduces drug-induced adverse reactions and improves clinical effectiveness, making it a crucial consideration for personalized medical care. Numerous guidelines, drawn by global consortia and scientific organizations, codify genotype-driven administration for over 120 active substances. As the scientific community acknowledges the benefits of genotype-tailored therapy over traditionally agnostic drug administration, the push for its implementation into Italian healthcare system is gaining momentum. This evolution is influenced by several factors, including the improved access to patient genotypes, the sequencing costs decrease, the growing of large-scale genetic studies, the rising popularity of direct-to-consumer pharmacogenetic tests, and the continuous improvement of pharmacogenetic guidelines. Since EMA (European Medicines Agency) and AIFA (Italian Medicines Agency) provide genotype information on drug leaflet without clear and explicit clinical indications for gene testing, the regulation of pharmacogenetic testing is a pressing matter in Italy. In this manuscript, we have reviewed how to overcome the obstacles in implementing pharmacogenetic testing in the clinical practice of the Italian healthcare system. Our particular emphasis has been on germline testing, given the absence of well-defined national directives in contrast to somatic pharmacogenetics.

PMID:38987819 | DOI:10.1186/s40246-024-00612-w

Schizophr Res. 2024 Jul 9;270:403-409. doi: 10.1016/j.schres.2024.07.007. Online ahead of print.

ABSTRACT

OBJECTIVE: Weight gain, blood lipids and/or glucose dysregulation can follow aripiprazole treatment onset. Whether aripiprazole dosage is associated with an increase in these metabolic parameters remains uncertain. The present study investigates aripiprazole dose associations with weight change, blood glucose, lipids, and blood pressure.

METHODS: 422 patients taking aripiprazole for a minimum of three weeks to one year were selected from PsyMetab and PsyClin cohorts. Associations between aripiprazole dose and metabolic outcomes were examined using linear mixed-effect models.

RESULTS: Aripiprazole dose was associated with weight change when considering its interaction with treatment duration (interaction term: -0.10, p < 0.001). This interaction resulted in greater weight gain for high versus low doses at the beginning of the treatment, this result being overturned at approximately five months, with greater weight increase for low versus high doses thereafter. LDL and HDL cholesterol levels were associated with aripiprazole dose over five months independently of treatment duration, with an average of 0.06 and 0.02 mmol/l increase for each 5 mg increment, respectively (p = 0.033 and p = 0.016, respectively). Furthermore, mean dose increases were associated with greater odds (+30 % per 5 mg increase) of clinically relevant weight gain (i.e., ≥7 %) over one year (p = 0.025).

CONCLUSION: Aripiprazole dose was associated with one-year weight changes when considering its interaction with treatment duration. Increasing its dose could lead to metabolic worsening over the first five months of treatment, during which minimum effective doses should be particularly preferred.

PMID:38986387 | DOI:10.1016/j.schres.2024.07.007

Vascul Pharmacol. 2024 Jun;155:107347. doi: 10.1016/j.vph.2024.107347.

NO ABSTRACT

PMID:38985625 | DOI:10.1016/j.vph.2024.107347

Acta Trop. 2024 Jul 7:107317. doi: 10.1016/j.actatropica.2024.107317. Online ahead of print.

ABSTRACT

BACKGROUND: Tuberculosis (TB) as a foremost infectious disease adds massive burden to morbidity and mortality rate, despite of well-structured TB control programs around the globe. Inappropriate health care management system and poor implementation on standard in relevance to TB, remain some reasons causative to TB prevalence and its rising antimicrobial resistance. Health Care Workers (HCWs) laboring as a part of TB control system, are the vital warriors in achieving the goals of TB End Strategy by 2035. Their performance is influenced by their knowledge, attitude, and practices (KAP) toward this infectious disease. This study aimed to signify the role of KAP score of health care Workers in the better control and prevention of TB in the Islamabad Capital Territory (ICT), Pakistan.

METHODS: A cross-sectional study on Knowledge, Attitude and Practice study of Tuberculosis (TB) among health care Workers, was done in ICT, which is the capital of Pakistan. The KAP of TB was collected for the 306 Health Care Workers from all the Islamabad TB referring health facilities which refer the TB patients for testing to the National Reference Laboratory, Islamabad Pakistan. Eligible health care workers were requested to respond on KAP questionnaire after informed consent. KAP questionnaire comprised of knowledge, attitude, and practices section including demographic information. All the data was analyzed using IBM SPSS statistics 21. One Way Analysis of Variance (ANOVA) was applied to calculate KAP mean score against different variables. On the significant data sets of ANOVA output, Tukey's Multiple Comparison Test was applied for pairwise comparison. Pearson correlation coefficient was utilized to explore the association between two qualitative variables. The non-parametric tests were applied to evaluate difference of KAP score in relation to demographic covariates individually.

RESULTS: From June to July 2023, we conducted TB KAP study among Health Care Workers of ICT, Pakistan. The average age was 33 years (range 26-30 years). Majority of the recruited subjects were not being trained for dealing with TB infection. The results demonstrated that Health Care Workers working were lacking their knowledge about mode of TB transmission, best diagnostic technique, and contraction of TB infections. The mean knowledge, attitude and practices mean scores were 15.05 (SD =3.96), 83.68 (SD =15.74) and 6.31 (SD =2.21) respectively. Mean knowledge score of Health Care Workers were significantly related to their educational level and occupation while no significant association was declared with working experience as TB staff. Pearson coefficient of attitude score with knowledge of Health Care Workers was of weak level (0.28). Practice mean score was correlated to knowledge mean score at a moderate level (r =0.40). On the other hand, practice score was r =0.29 with attitude mean score had shown weak level correlation. A number of demographic factors were strongly linked to each of the mean score of knowledge, attitude, and practices.

CONCLUSION: These findings highlighted the significant involvement of education, profession, and professional trainings in the better knowledge, attitude, and practices of the TB related health care Workers. For a better management system of infectious diseases like TB, a well-trained and professionally competent staff of Health Care Workers is important so as to achieve the goal of TB-End strategy by 2035 from Pakistan, which is the 5th highest burden country for TB.

PMID:38981566 | DOI:10.1016/j.actatropica.2024.107317

Bioorg Chem. 2024 Jun 29;150:107608. doi: 10.1016/j.bioorg.2024.107608. Online ahead of print.

ABSTRACT

The deployment of DNA damage response (DDR) combats various forms of DNA damage, ensuring genomic stability. Cancer cells' propensity for genomic instability offers therapeutic opportunities to selectively kill cancer cells by suppressing the DDR pathway. DNA-dependent protein kinase (DNA-PK), a nuclear serine/threonine kinase, is crucial for the non-homologous end joining (NHEJ) pathway in the repair of DNA double-strand breaks (DSBs). Therefore, targeting DNA-PK is a promising cancer treatment strategy. This review elaborates on the structures of DNA-PK and its related large protein, as well as the development process of DNA-PK inhibitors, and recent advancements in their clinical application. We emphasize our analysis of the development process and structure-activity relationships (SARs) of DNA-PK inhibitors based on different scaffolds. We hope this review will provide practical information for researchers seeking to develop novel DNA-PK inhibitors in the future.

PMID:38981210 | DOI:10.1016/j.bioorg.2024.107608

Expert Opin Drug Metab Toxicol. 2024 Jul 9. doi: 10.1080/17425255.2024.2378887. Online ahead of print.

ABSTRACT

INTRODUCTION: Despite a steady increase of antipsychotic prescriptions in children and adolescents, knowledge about pharmacokinetics and dosing of antipsychotics in children and adolescents remains limited.

AREAS COVERED: We discuss seven issues with major impact on the pharmacokinetics of antipsychotics in youth: estrogens, ii) obesity, iii) ethnicity, iv) smoking, v) inflammation, vi) drug-drug interactions (DDIs), and vii) pharmacogenetics. Despite their major impact, these issues have not been adequately considered in the context of dosing algorithms for antipsychotics in youth. A simple tool to quantify the impact of these pharmacokinetics issues on antipsychotics is therapeutic drug monitoring (TDM), which refers to the quantification of the prescribed medication in the blood of the patients, as a surrogate of the peripheral antipsychotic exposure. We also provide summary tables extrapolated from the adult literature on metabolism, therapeutic reference ranges (TRRs) and DDIs.

EXPERT OPINION: Despite considerable experience with TDM for antipsychotics in the management of other patient subgroups, TDM use for antipsychotics in children and adolescents may be limited with TRRs invariably being extrapolated from adult patients. Advancing TDM knowledge is expected to help clinicians address the special properties of pharmacokinetics of antipsychotics and ultimately enable antipsychotic dose individualization in youth.

PMID:38980734 | DOI:10.1080/17425255.2024.2378887

Support Care Cancer. 2024 Jul 9;32(8):497. doi: 10.1007/s00520-024-08674-1.

ABSTRACT

PURPOSE: Patients with dihydropyrimidine dehydrogenase (DPD) deficiency are at high risk for severe and fatal toxicity from fluoropyrimidine (FP) chemotherapy. Pre-treatment DPYD testing is standard of care in many countries, but not the United States (US). This survey assessed pre-treatment DPYD testing approaches in the US to identify best practices for broader adoption.

METHODS: From August to October 2023, a 22-item QualtricsXM survey was sent to institutions and clinicians known to conduct pre-treatment DPYD testing and broadly distributed through relevant organizations and social networks. Responses were analyzed using descriptive analysis.

RESULTS: Responses from 24 unique US sites that have implemented pre-treatment DPYD testing or have a detailed implementation plan in place were analyzed. Only 33% of sites ordered DPYD testing for all FP-treated patients; at the remaining sites, patients were tested depending on disease characteristics or clinician preference. Almost 50% of sites depend on individual clinicians to remember to order testing without the assistance of electronic alerts or workflow reminders. DPYD testing was most often conducted by commercial laboratories that tested for at least the four or five DPYD variants considered clinically actionable. Approximately 90% of sites reported receiving results within 10 days of ordering.

CONCLUSION: Implementing DPYD testing into routine clinical practice is feasible and requires a coordinated effort among the healthcare team. These results will be used to develop best practices for the clinical adoption of DPYD testing to prevent severe and fatal toxicity in cancer patients receiving FP chemotherapy.

PMID:38980476 | DOI:10.1007/s00520-024-08674-1

Invest Ophthalmol Vis Sci. 2024 Jul 1;65(8):17. doi: 10.1167/iovs.65.8.17.

ABSTRACT

PURPOSE: This analysis investigated potential associations between gene variants and clinical end points in the VIEW 1 and 2 randomized clinical trials of intravitreal aflibercept and ranibizumab in neovascular age-related macular degeneration (AMD).

METHODS: A genome-wide association analysis was conducted in a subgroup of patients from VIEW 1 and 2 consenting to the optional pharmacogenetic analysis.

RESULTS: Data were pooled from 780 samples from patients representative of the overall VIEW 1 and 2 populations. After Bonferroni correction for multiplicity and statistical adjustment for baseline risk factors, no significant associations were found between previously identified prognostic AMD gene variants and treatment response according to key prespecified VIEW 1 and 2 end points. Genome-wide, there were no significant genetic associations in patients experiencing gains of ≥15 Early Treatment of Diabetic Retinopathy Study letters after 1 or 2 years of treatment. A cluster of variants in ANO2 (encoding anoctamin 2, a calcium-activated chloride channel expressed on photoreceptor cells) on chromosome 12 reached the level of significance for loss of ≥5 letters after 1 year of treatment (P < 5 × 10-8), with the ANO2 rs2110166 SNP demonstrating highly significant association (P = 1.99 × 10-8). Carriers of the ANO2 rs2110166 TT genotype showed a robust increase in visual acuity versus baseline compared with a small decrease in those with the TC genotype.

CONCLUSIONS: None of the potential prognostic candidate genes were associated with the clinical end points for treated patients. Preliminary analyses suggest an association of ANO2 with retinal function, with a potential impact on vision of approximately one line over at least the first year. Further investigation of the function of ANO2 in retinal pathophysiology is merited.

PMID:38980270 | DOI:10.1167/iovs.65.8.17

Zhongguo Ying Yong Sheng Li Xue Za Zhi. 2024 Jul 9;40:e20240011. doi: 10.62958/j.cjap.2024.011.

ABSTRACT

Numerous factors, such as genetics, environmental factors, and illness determinants, might contribute to an unpleasant pharmaceutical response. In an effort to increase efficacy and safety, as well as to gain a better understanding of drug disposition and clinical consequences, researchers in the two quickly emerging fields of pharmacogenetics (which focuses on single genes) and pharmacogenomics (which focuses on many genes) have studied the genetic personalization of drug response. This is due to the fact that a large number of pharmacological responses seem to be genetically based, and the relationship between medication response and genotype may be important for diagnosis. We now have a better understanding of the genetic basis of individual medication responses because to research on pharmaceuticals and genes. Pharmacogenomics aims to improve patient outcomes by developing personalized medicine by using the diversity of the human genome and how it affects medication response. Translational in nature, pharmacogenomics research encompasses everything from the discovery of genotype-phenotype associations to clinical investigations that might show therapeutic relevance. Though the conversion of pharmacogenomics research findings into clinical practice has been sluggish, advances in the field offer considerable potential for future therapeutic applications in specific people.

PMID:38979579 | DOI:10.62958/j.cjap.2024.011

Appl Clin Genet. 2024 Jul 2;17:95-105. doi: 10.2147/TACG.S463965. eCollection 2024.

ABSTRACT

INTRODUCTION: CYP2C19 plays a major role in the metabolism of various drugs. The most common genetic variants were the CYP2C19*2 and *3 alleles (rs4244285 and rs4986893, non-functional variants). In previous studies, we found that genetic polymorphisms in CYP2C19 variants influenced the active metabolites of clopidogrel and caused major adverse cardiovascular and cerebrovascular effects. However, the distribution of CYP2C19 varies among ethnic groups and according to adverse drug reactions. This study aimed to investigate the frequency of CYP2C19 genetic polymorphisms in the Thai population and analyze the differences in the frequency of CYP2C19 genetic polymorphisms between Thai and other populations.

METHODS: This study enrolled 211 unrelated healthy Thai individuals in total. We performed a real-time polymerase chain reaction to genotype CYP2C19*2 (681G > A) and CYP2C19*3 (636G > A).

RESULTS: In the Thai population, the CYP2C19*1 allele was the most prevalent at 70.14%, while the CYP2C19*2 and *3 alleles were found at frequencies of 25.36% and 4.50%, respectively. Conversely, the CYP2C19*3 allele was not detected in Caucasian, Hispanic, African, Italian, Macedonian, Tanzanian, or North Indian populations. The phenotypic profile of this gene revealed that the frequency of intermediate metabolizers (IMs) is nearly equal to that of extensive metabolizers (EMs), at 42.65% and 48.82% respectively, with genotypes *1/*2 (36.02%) and *1/*3 (6.63%). Likewise, poor metabolizers (PMs) with genotypes *2/*2 (6.16%), *2/*3 (2.37%), and *3/*3 (<1%) are more prevalent in our population as well.

CONCLUSION: The distribution of CYP2C19 genotype and phenotype influenced by non-functional alleles has potential as a pharmacogenomics biomarker for precision medicine and is dependent on an ethnic-specific genetic variation database.

PMID:38975048 | PMC:PMC11227332 | DOI:10.2147/TACG.S463965

Int J Health Sci (Qassim). 2024 Jul-Aug;18(4):32-45.

ABSTRACT

OBJECTIVE: The development of coronavirus disease 2019 (COVID-19) vaccines was a crucial preventative measure toward controlling the pandemic. Several side effects have been reported. This study investigated the long-term side effects reported by the Saudi population. post-COVID-19 vaccination.

METHODS: The cross-sectional study involved Saudi participants of both genders, aged ≥16 years, and had received at least one dose of any of the available vaccines in Saudi Arabia. They were asked to fill out an online questionnaire divided into three sections: Demographics, medical history, and side effects that appeared post-COVID-19 vaccines.

RESULTS: The findings indicated that the undesirable effects were reported by 82% of the participants. These side effects involve three categories: The most common, additional or reported, and persistent side effects. The most common side effects were pain at the site of injection (88.16%), bone pain/joint pain (68.7%), and fatigue (68.46%). Menstrual disorders (n = 46), hair loss (n = 34), and memory problems (n = 19) were reported by participants as additional side effects. Among all side effects, fatigue, joint pain, hair loss, and menstrual disorders were the most persistent side effects. Moreover, 190 participants reported that they were diagnosed with diseases soon after receiving the COVID-19 vaccine including COVID-19, thyroid gland disorder, and irritable bowel disease. The quality of life of some of the participants was affected by post-COVID-19 vaccines, as 25.28% had anxiety, 21.22% had depression, and 33.16% had discomfort.

CONCLUSION: These findings may contribute to understanding the effect of COVID-19 vaccines on the Saudi population's health and public opinion about these vaccines.

PMID:38974645 | PMC:PMC11226936

Pharmgenomics Pers Med. 2024 Jul 1;17:347-361. doi: 10.2147/PGPM.S454328. eCollection 2024.

ABSTRACT

BACKGROUND: Pharmacogenomics research is currently revolutionizing treatment optimization by discovering molecular markers. Medicines are the cornerstone of treatment for both acute and chronic diseases. Pharmacogenomics associated treatment response varies from 20% to 95%, resulting in from lack of efficacy to serious toxicity. Pharmacogenomics has emerged as a useful tool for therapy optimization and plays a bigger role in clinical care going forward. However, in Africa, in particular in Ethiopia, such studies are scanty and not generalizing. Therefore, the objective of this review was to outline such studies, generating comprehensive evidence and identify studied variants' association with treatment responses in Ethiopian patients.

METHODS: The Joanna Briggs Institute's updated 2020 methodological guidelines for conducting and guidance for scoping reviews were used. We meticulously adhered to the systemic review reporting items checklist and scoping review meta-analyses extension.

RESULTS: Two hundred twenty-nine possibly relevant studies were searched. These include: 64, 54, 21, 48 and 42 from PubMed, Scopus, Google Scholar, EMBASE, and manual search, respectively. Seventy-seven duplicate studies were removed. Thirty-nine papers were rejected with justification, whereas 58 studies were qualified for full-text screening. Finally 19 studies were examined. The primary pharmacogene that was found to have a significant influence on the pharmacokinetics of efavirenz was CYP2B6. Drug-induced liver injury has frequently identified toxicity among studied medications.

CONCLUSION AND FUTURE PERSPECTIVES: Pharmacogenomics studies in Ethiopian populations are less abundant. The studies conducted focused on infectious diseases, specifically on HAART commonly efavirenz and backbone first-line anti-tuberculosis drugs. There is a high need for further pharmacogenomics research to verify the discrepancies among the studies and for guiding precision medicine. Systematic review and meta-analysis are also recommended for pooled effects of different parameters in pharmacogenomics studies.

PMID:38974617 | PMC:PMC11226858 | DOI:10.2147/PGPM.S454328