Curr Issues Mol Biol. 2024 Mar 11;46(3):2263-2277. doi: 10.3390/cimb46030145.

ABSTRACT

Prostate cancer remains a significant public health concern in sub-Saharan Africa, particularly impacting South Africa with high mortality rates. Despite many years of extensive research and significant financial expenditure, there has yet to be a definitive solution to prostate cancer. It is not just individuals who vary in their response to treatment, but even different nodules within the same tumor exhibit unique transcriptome patterns. These distinctions extend beyond mere differences in gene expression levels to encompass the control and networking of individual genes. Escalating chemotherapy resistance in prostate cancer patients has prompted increased research into its underlying mechanisms. The heterogeneous nature of transcriptomic organization among men makes the pursuit of universal biomarkers and one-size-fits-all treatments impractical. This study delves into the expression of drug resistance-associated genes, ABCB1 and CYP1B1, in cancer cells. Employing bioinformatics, we explored the molecular pathways and cascades linked to drug resistance following upregulation of these genes. Samples were obtained from archived prostate cancer patient specimens through pre-treatment biopsies of two categories: good vs. poor responders, with cDNAs synthesized from isolated RNAs subjected to qPCR analysis. The results revealed increased ABCB1 and CYP1B1 expression in tumor samples of the poor responders. Gene enrichment and network analysis associated ABCB1 with ABC transporters and LncRNA-mediated therapeutic resistance (WP3672), while CYP1B1 was linked to ovarian steroidogenesis, tryptophan metabolism, steroid hormone biosynthesis, benzo(a)pyrene metabolism, the sulindac metabolic pathway, and the estrogen receptor pathway, which are associated with drug resistance. Both ABCB1 and CYP1B1 correlated with microRNAs in cancer and the Nuclear Receptors Meta-Pathway. STRING analysis predicted protein-protein interactions of ABCB1 and CYP1B1 with Glutathione S-transferase Pi, Catechol O-methyltransferase, UDP-glucuronosyltransferase 1-6, Leucine-rich Transmembrane and O-methyltransferase (LRTOMT), and Epoxide hydrolase 1, with scores of 0.973, 0.971, 0.966, 0.966, and 0.966, respectively. Furthermore, molecular docking analysis of the chemotherapy drug, docetaxel, with CYP1B1 and ABCB1 revealed robust molecular interactions, with binding energies of -20.37 and -15.25 Kcal/mol, respectively. These findings underscore the susceptibility of cancer patients to drug resistance due to increased ABCB1 and CYP1B1 expression in tumor samples from patients in the poor-responders category that affects associated molecular pathways. The potent molecular interactions of ABCB1 and CYP1B1 with docetaxel further emphasize the potential basis for chemotherapy resistance.

PMID:38534761 | DOI:10.3390/cimb46030145

Curr Issues Mol Biol. 2024 Mar 7;46(3):2166-2180. doi: 10.3390/cimb46030140.

ABSTRACT

The purpose of this study was to evaluate the effect of genistein in nano, micro, and macro forms on the intensity of the DMBA-induced tumor process in rats and to understand the mechanisms of this action. The effect of genistein supplementation on the content of selected eicosanoids (HETEs, HODE, and HEPE) in the serum of rats was evaluated. The levels and expression of genes encoding various pro-inflammatory cytokines (IL-1, IL-6) and MMP-9 in the blood of rats were also investigated. The biological material for the study was blood obtained from female rats of the Sprague Dawley strain (n = 32). The animals were randomly divided into four groups: animals without supplementation, and animals supplemented at a dose of 0.2 mg/kg b.w. (0.1 mg/mL) with macro, micro (587 ± 83 nm), or nano (92 ± 41 nm) genistein. To induce mammary neoplasia (adenocarcinoma), rats were given 7,12-dimethyl-1,2-benz[a]anthracene (DMBA). The content of selected eicosanoids was determined by liquid chromatography with UV detection. An immunoenzymatic method was used to determine the content of cytokines and MMP-9. The expression of the IL-6, IL-1beta, and MMP-9 genes was determined with quantitative real-time PCR (qRT-PCR) using TaqMan probes. Based on the study, it was shown that supplementation of animals with genistein in macro, micro, and nano forms increased the intensity of the tumor process in rats. It was shown that the content of 12-HEPE, HODE, and 12-HETE in the serum of genistein-supplemented rats was statistically significantly lower with respect to the content of the aforementioned markers in the serum of rats receiving only a standard diet, devoid of supplementation. It was found that animals supplemented with nano-, micro-, and macrogenistein had higher levels of metalloproteinase-9, MMP-9, compared to animals without supplementation. There was a significant increase in MMP-9 gene expression in the blood of macrogenistein-supplemented animals, relative to the other groups of rats. On the basis of the study, it was shown that supplementation of animals with nano-, micro-, and macrogenistein had an effect on the development of the tumor process. Dietary supplementation with genistein significantly decreased the level of selected eicosanoids, which may have significant impacts on cancer development and progression.

PMID:38534756 | DOI:10.3390/cimb46030140

Cells. 2024 Mar 13;13(6):504. doi: 10.3390/cells13060504.

ABSTRACT

The integration of whole genome sequencing (WGS) into all aspects of modern medicine represents the next step in the evolution of healthcare. Using this technology, scientists and physicians can observe the entire human genome comprehensively, generating a plethora of new sequencing data. Modern computational analysis entails advanced algorithms for variant detection, as well as complex models for classification. Data science and machine learning play a crucial role in the processing and interpretation of results, using enormous databases and statistics to discover new and support current genotype-phenotype correlations. In clinical practice, this technology has greatly enabled the development of personalized medicine, approaching each patient individually and in accordance with their genetic and biochemical profile. The most propulsive areas include rare disease genomics, oncogenomics, pharmacogenomics, neonatal screening, and infectious disease genomics. Another crucial application of WGS lies in the field of multi-omics, working towards the complete integration of human biomolecular data. Further technological development of sequencing technologies has led to the birth of third and fourth-generation sequencing, which include long-read sequencing, single-cell genomics, and nanopore sequencing. These technologies, alongside their continued implementation into medical research and practice, show great promise for the future of the field of medicine.

PMID:38534348 | DOI:10.3390/cells13060504

Antimicrob Agents Chemother. 2024 Mar 27:e0017524. doi: 10.1128/aac.00175-24. Online ahead of print.

NO ABSTRACT

PMID:38534104 | DOI:10.1128/aac.00175-24

Sci Rep. 2024 Mar 26;14(1):7123. doi: 10.1038/s41598-024-57686-8.

ABSTRACT

Nilotinib is a highly effective treatment for chronic myeloid leukemia but has been consistently associated with the development of nilotinib-induced arterial disease (NAD) in a subset of patients. To date, which cell types mediate this effect and whether NAD results from on-target mechanisms is unknown. We utilized human induced pluripotent stem cells (hiPSCs) to generate endothelial cells and vascular smooth muscle cells for in vitro study of NAD. We found that nilotinib adversely affects endothelial proliferation and migration, in addition to increasing intracellular nitric oxide. Nilotinib did not alter endothelial barrier function or lipid uptake. No effect of nilotinib was observed in vascular smooth muscle cells, suggesting that NAD is primarily mediated through endothelial cells. To evaluate whether NAD results from enhanced inhibition of ABL1, we generated multiple ABL1 knockout lines. The effects of nilotinib remained unchanged in the absence of ABL1, suggesting that NAD results from off- rather than on-target signaling. The model established in the present study can be applied to future mechanistic and patient-specific pharmacogenomic studies.

PMID:38532120 | DOI:10.1038/s41598-024-57686-8

Transl Psychiatry. 2024 Mar 26;14(1):162. doi: 10.1038/s41398-024-02881-4.

ABSTRACT

Given the unpredictable rapid onset and ubiquitous consequences of weight gain induced by antipsychotics, there is a pressing need to get insights into the underlying processes at the brain system level that will allow stratification of "at risk" patients. The pathophysiological hypothesis at hand is focused on brain networks governing impulsivity that are modulated by neuro-inflammatory processes. To this aim, we investigated brain anatomy and functional connectivity in patients with early psychosis (median age: 23 years, IQR = 21-27) using anthropometric data and magnetic resonance imaging acquired one month to one year after initiation of AP medication. Our analyses included 19 patients with high and rapid weight gain (i.e., ≥5% from baseline weight after one month) and 23 patients with low weight gain (i.e., <5% from baseline weight after one month). We replicated our analyses in young (26 years, IQR = 22-33, N = 102) and middle-aged (56 years, IQR = 51-62, N = 875) healthy individuals from the general population. In early psychosis patients, higher weight gain was associated with poor impulse control score (β = 1.35; P = 0.03). Here, the observed brain differences comprised nodes of impulsivity networks - reduced frontal lobe grey matter volume (Pcorrected = 0.007) and higher striatal volume (Pcorrected = 0.048) paralleled by disruption of fronto-striatal functional connectivity (R = -0.32; P = 0.04). Weight gain was associated with the inflammatory biomarker plasminogen activator inhibitor-1 (β = 4.9, P = 0.002). There was no significant association between increased BMI or weight gain and brain anatomy characteristics in both cohorts of young and middle-aged healthy individuals. Our findings support the notion of weight gain in treated psychotic patients associated with poor impulse control, impulsivity-related brain networks and chronic inflammation.

PMID:38531873 | DOI:10.1038/s41398-024-02881-4

J Antimicrob Chemother. 2024 Mar 26:dkae080. doi: 10.1093/jac/dkae080. Online ahead of print.

ABSTRACT

OBJECTIVE: Large inter-individual variability in the pharmacokinetics of rilpivirine and cabotegravir has been reported in the first weeks after starting long-acting injectable (LAI) therapy. Here, we assessed the distribution of rilpivirine and cabotegravir trough concentrations in people with HIV (PWH) on long-term LAI treatment.

METHODS: Adult PWH treated with LAI for at least 32 weeks with an assessment of drug plasma trough concentrations were considered. The proportion of rilpivirine and cabotegravir plasma trough concentrations below four-times the protein-adjusted concentrations required for 90% inhibition of viral replication (4×PA-IC90) was estimated.

RESULTS: Sixty-seven PWH were identified. LAI treatment duration was 216 ± 80 weeks (range 32-320 weeks). Cabotegravir concentrations were associated with lower inter-individual variability compared with rilpivirine (45% versus 84%; P < 0.05). No differences were found in rilpivirine (160 ± 118 versus 189 ± 81 ng/mL; P = 0.430) and cabotegravir (1758 ± 807 versus 1969 ± 802 ng/mL; P = 0.416) trough concentrations in males (n = 55) versus females (n = 12). A non-significant trend for lower cabotegravir concentrations was found in PWH with a body mass index >30 kg/m2 (n = 9) versus non-obese participants (1916 ± 905 versus 1606 ± 576 ng/mL; P = 0.131). Three out of the 67 PWH had at least one drug concentration <4×PA-IC90: 100% of PWH had undetectable HIV viral load.

CONCLUSIONS: At steady state, optimal systemic exposure of cabotegravir and rilpivirine was found in most PWH; cabotegravir trough concentrations were associated with lower inter-individual variability compared with rilpivirine. The study was not powered to assess the contribution of sex and/or body weight on LAI exposure due to the small number of females and obese PWH included.

PMID:38530862 | DOI:10.1093/jac/dkae080

J Am Coll Cardiol. 2024 Mar 15:S0735-1097(24)00384-X. doi: 10.1016/j.jacc.2024.02.016. Online ahead of print.

ABSTRACT

BACKGROUND: Elevated lipoprotein(a) (Lp[a]) concentrations are associated with increased cardiovascular event risk even in the presence of well-controlled low-density lipoprotein cholesterol levels, but few treatments are documented to reduce this residual risk.

OBJECTIVES: The aim of this post hoc analysis of REDUCE-IT (Reduction of Cardiovascular Events with Icosapent Ethyl-Intervention Trial) was to explore the cardiovascular benefit of icosapent ethyl (IPE) across a range of Lp(a) levels.

METHODS: A total of 8,179 participants receiving statin therapy with established cardiovascular disease or age ≥50 years with diabetes and ≥1 additional risk factor, fasting triglyceride 1.69 to 5.63 mmol/L, and low-density lipoprotein cholesterol 1.06 to 2.59 mmol/L were randomized to receive 2 g twice daily of IPE or matching placebo. Relationships between continuous baseline Lp(a) mass concentration and risk for first and total (first and subsequent) major adverse cardiovascular events (MACE) were analyzed, along with the effects of IPE on first MACE among those with Lp(a) concentrations ≥50 or <50 mg/dL.

RESULTS: Among 7,026 participants (86% of those randomized) with baseline Lp(a) assessments, the median concentration was 11.6 mg/dL (Q1-Q3: 5.0-37.4 mg/dL). Lp(a) had significant relationships with first and total MACE (P < 0.0001), while event reductions with IPE did not vary across the range of Lp(a) (interaction P > 0.10). IPE significantly reduced first MACE in subgroups with concentrations ≥50 and <50 mg/dL.

CONCLUSIONS: Baseline Lp(a) concentration was prognostic for MACE among participants with elevated triglyceride levels receiving statin therapy. Importantly, IPE consistently reduced MACE across a range of Lp(a) levels, including among those with clinically relevant elevations.

PMID:38530686 | DOI:10.1016/j.jacc.2024.02.016

Open Forum Infect Dis. 2024 Jan 24;11(3):ofae007. doi: 10.1093/ofid/ofae007. eCollection 2024 Mar.

ABSTRACT

BACKGROUND: ADVANCE compared 3 World Health Organization-recommended first-line regimens in participants with HIV who were antiretroviral naive.

METHODS: This randomized, open-label, noninferiority trial enrolled participants living with HIV with no antiretroviral exposure in the previous 6 months to 1 of the following arms: tenofovir alafenamide (TAF) / emtricitabine (FTC) + dolutegravir (DTG) (2 tablets), tenofovir disoproxil fumarate (TDF) / FTC + DTG (2 tablets), or a fixed-dose combination of TDF / FTC / efavirenz (EFV) (1 tablet). We report the final safety and efficacy data up to 192 weeks.

RESULTS: Repeat consent from the original 351 participants randomized to each arm was obtained from 230 participants (66%) in the TAF/FTC + DTG arm, 209 (60%) in the TDF/FTC + DTG arm, and 183 (52%) in the TDF/FTC/EFV arm. At 192 weeks, 213 (61%) of the original 351 participants in the TAF/FTC + DTG arm, 195 (56%) in the TDF/FTC + DTG arm, and 172 (49%) in the TDF/FTC/EFV arm had confirmed RNA <50 copies/mL, with low virologic failure in all groups and no significant integrase inhibitor mutations in any arm. Mean weight gain was 8.9 kg (SD, 7.1) in the TAF/FTC + DTG arm, 5.9 kg (SD, 7.1) in the TDF/FTC + DTG arm, and 3.2 kg (SD, 8.1) in the TDF/FTC/EFV arm at 192 weeks from baseline and was greatest among women, those taking TAF, and those with lower baseline CD4 counts. The weight trajectory slowed after week 96. There were few clinical events and minor laboratory changes and differences among arms after 96 weeks. There were no significant differences in treatment-emergent hypertension or pregnancy outcomes by arm.

CONCLUSIONS: High viral suppression was seen across arms, with no resistance to DTG. Weight gain continued but slowed after 96 weeks, with few clinical events or laboratory changes.

PMID:38529213 | PMC:PMC10962246 | DOI:10.1093/ofid/ofae007

Front Pharmacol. 2024 Mar 11;15:1349203. doi: 10.3389/fphar.2024.1349203. eCollection 2024.

ABSTRACT

Background: Microarrays are a well-established and widely adopted technology capable of interrogating hundreds of thousands of loci across the human genome. Combined with imputation to cover common variants not included in the chip design, they offer a cost-effective solution for large-scale genetic studies. Beyond research applications, this technology can be applied for testing pharmacogenomics, nutrigenetics, and complex disease risk prediction. However, establishing clinical reporting workflows requires a thorough evaluation of the assay's performance, which is achieved through validation studies. In this study, we performed pre-clinical validation of a genetic testing workflow based on the Illumina Global Screening Array for 25 pharmacogenomic-related genes. Methods: To evaluate the accuracy of our workflow, we conducted multiple pre-clinical validation studies. Here, we present the results of accuracy and precision assessments, involving a total of 73 cell lines. These assessments encompass reference materials from the Genome-In-A-Bottle (GIAB), the Genetic Testing Reference Material Coordination Program (GeT-RM) projects, as well as additional samples from the 1000 Genomes project (1KGP). We conducted an accuracy assessment of genotype calls for target loci in each indication against established truth sets. Results: In our per-sample analysis, we observed a mean analytical sensitivity of 99.39% and specificity 99.98%. We further assessed the accuracy of star-allele calls by relying on established diplotypes in the GeT-RM catalogue or calls made based on 1KGP genotyping. On average, we detected a diplotype concordance rate of 96.47% across 14 pharmacogenomic-related genes with star allele-calls. Lastly, we evaluated the reproducibility of our findings across replicates and observed 99.48% diplotype and 100% phenotype inter-run concordance. Conclusion: Our comprehensive validation study demonstrates the robustness and reliability of the developed workflow, supporting its readiness for further development for applied testing.

PMID:38529185 | PMC:PMC10961362 | DOI:10.3389/fphar.2024.1349203

J Diet Suppl. 2024 Mar 25:1-9. doi: 10.1080/19390211.2024.2327541. Online ahead of print.

ABSTRACT

INTRODUCTION: Clinicians have limited options outside controlled substances to address sleep disturbance, which left untreated can negatively affect patient outcomes in cardiovascular health, mental health, immunologic function, and more. For some, genetic factors may influence sleep disturbances. L-methylfolate, the active form of folate, plays a critical role in regulation of monoamine neurotransmitters known to have significant impact on sleep regulation: dopamine, serotonin, norepinephrine. Single nucleotide polymorphisms of the enzyme methylene-tetrahydrofolate-reductase are common and can impact monoamine production. The goal of this study was to evaluate effects of L-methylfolate supplementation on sleep in a cohort with reduced methylene tetrahydrofolate reductase (MTHFR) activity.

METHODS: A retrospective cohort of patients being treated with L-methylfolate in a concierge medical clinic setting was studied. Patients presenting with sleep complaints were evaluated using the Patient-Reported Outcomes Measurement Information System at baseline. Patients with known MTHFR polymorphisms at either C667T and/or A1298C were recommended 5 mg of L-methylfolate daily and were reevaluated at 2 wks, at 4 wks, and at 8 wks of supplementation. Statistical comparisons were made utilizing ANOVA and T-test comparisons.

RESULTS: Ten were included in the final cohort: six male and four female, average age 43 ± 16 years. Beginning at wk 2, average sleep disturbance improved significantly by -6.94 points (p = 0.005) and by 8 wks, all patients had improvement with a -14.34 change in disturbance from baseline (p = 0.001).

CONCLUSION: Improvement in sleep disturbance was seen in both low and intermediate function phenotypes. L-methylfolate may be useful for improving sleep in patients with MTHFR polymorphism.

PMID:38528721 | DOI:10.1080/19390211.2024.2327541

Sr Care Pharm. 2024 Apr 1;39(4):132-136. doi: 10.4140/TCP.n.2024.132.

ABSTRACT

Older people are over-represented among individuals that experience adverse drug reactions (ADR) and adverse drug events (ADE). Furthermore, older people are over-represented among individuals that visit emergency departments and are hospitalized because of ADRs. Moreover, older people are overrepresented among those who suffer ADEs while hospitalized. Finally, older people are among those most likely to have an anaphylactic response to prescription medications. Therefore, older people are prime candidates for efforts aimed at optimizing pharmacotherapeutic outcomes. Pharmacogenomics is an approach of using genetic data to optimize pharmacotherapeutic outcomes. Over the last two decades, pharmacogenomics grew from research initiatives into the current environment of pharmacogenomics implementation. Specifically, implementing pharmacogenomics into clinical settings or within health care systems has proven beneficial in optimizing pharmacotherapeutic outcomes. Therefore, pharmacists focused on optimizing pharmacotherapeutic outcomes for older people should be aware of the approaches to and resources available for implementing pharmacogenomics. KEY WORDS: Drug labeling biomarkers, Genes, Older adults, Pharmacogenomics.

PMID:38528338 | DOI:10.4140/TCP.n.2024.132

Sr Care Pharm. 2024 Apr 1;39(4):143-150. doi: 10.4140/TCP.n.2024.143.

ABSTRACT

The case discussion demonstrates the benefit of using Pharmacogenomic (PGx) results to aid in the selection of antidepressant therapy and improve response to treatment. Nearly half of patients diagnosed with major depressive disorder fail initial therapy and may require multiple trials of antidepressants. Genetic variation in several metabolic enzymes contribute to the variable response to antidepressant therapy. PGx testing provides an opportunity to inform antidepressant selection and optimize therapeutic outcomes, while minimizing risk of adverse events. A 79-year-old female who had been experiencing a suboptimal response to escitalopram following dose escalation over a period of three years was referred for a PGx consultation. A clinical pharmacist assessed significant drug-gene, drug-drug, and drug-drug-gene interactions, and relevant clinical information to recommend alternative antidepressant therapy, which resulted in mood improvement.

PMID:38528337 | DOI:10.4140/TCP.n.2024.143

Sr Care Pharm. 2024 Apr 1;39(4):129-131. doi: 10.4140/TCP.n.2024.129.

NO ABSTRACT

PMID:38528336 | DOI:10.4140/TCP.n.2024.129

Sr Care Pharm. 2024 Apr 1;39(4):137-142. doi: 10.4140/TCP.n.2024.137.

ABSTRACT

The objective of this case report is to illustrate pharmacogenomics (PGx)-guided oxycodone treatment, given the conflicting data on the analgesic response from oxycodone in Cytochrome P450 (CYP)2D6 poor metabolizers (PMs). PGx-guided therapy can help improve treatment outcomes. This case report describes a 58-year-old patient who was prescribed oxycodone for chronic pain management. The patient presented with a history of inadequate pain control despite analgesic treatment with oxycodone (morphine milliequivalent [MME] = 22.5). Pharmacogenetic testing revealed that the patient was a CYP2D6 Poor Metabolizer (PM), which may shed light on the observed lack of analgesic response to oxycodone. The clinical pharmacist recommended switching to an alternative opioid not metabolized via the CYP2D6 pathway. The patient was subsequently switched to hydromorphone (MME = 16), resulting in improved pain control and fewer side effects. The newer hydromorphone dose accounted for a 30% MME dose reduction. The patient's initial average and worst pain score were 7 and 9 out of 10, respectively, per the numeric rating scale (NRS). Upon follow-up with the patient in two weeks, her average and worst pain scores improved to 3 and 3.5 out of 10, respectively, per the NRS. Further PGx testing results led to an overall positive outcome, such as her willingness to participate in physical therapy as a result of improved pain scores. This case highlights the importance of considering individual variability in drug metabolism when prescribing medications, particularly opioids such as oxycodone, to ensure optimal therapeutic outcomes and minimize the risk of adverse events in CYP2D6 PMs.

PMID:38528335 | DOI:10.4140/TCP.n.2024.137

Sr Care Pharm. 2024 Apr 1;39(4):159-162. doi: 10.4140/TCP.n.2024.159.

NO ABSTRACT

PMID:38528334 | DOI:10.4140/TCP.n.2024.159

Sr Care Pharm. 2024 Apr 1;39(4):151-158. doi: 10.4140/TCP.n.2024.151.

ABSTRACT

The objective of this aims to demonstrate the advantage of a pharmacogenomics (PGx)-informed medication review in mitigating adverse drug events (ADEs) and optimizing therapeutic outcomes. PGx testing and PGx-informed medication reviews assist in mitigating ADEs. PGx testing was performed on a 68-year-old male presenting with uncontrolled chronic pain. The PGx results highlighted a drug-gene interaction, aiding in identification of the increased risk of statin-associated muscle symptoms (SAMS) attributing to uncontrolled chronic pain. This patient case report illustrates how incorporating PGx results can help improve chronic pain and mitigate ADEs, such as SAMS.

PMID:38528333 | DOI:10.4140/TCP.n.2024.151

Pharmacoecon Open. 2024 Mar 26. doi: 10.1007/s41669-024-00481-y. Online ahead of print.

ABSTRACT

BACKGROUND: Major depressive disorder (MDD) is a common, often recurrent condition and a significant driver of healthcare costs. People with MDD often receive pharmacological therapy as the first-line treatment, but the majority of people require more than one medication trial to find one that relieves symptoms without causing intolerable side effects. There is an acute need for more effective interventions to improve patients' remission and quality of life and reduce the condition's economic burden on the healthcare system. Pharmacogenomic (PGx) testing could deliver these objectives, using genomic information to guide prescribing decisions. With an already complex and multifaceted care pathway for MDD, future evaluations of new treatment options require a flexible analytic infrastructure encompassing the entire care pathway. Individual-level simulation models are ideally suited for this purpose. We sought to develop an economic simulation model to assess the effectiveness and cost effectiveness of PGx testing for individuals with major depression. Additionally, the model serves as an analytic infrastructure, simulating the entire patient pathway for those with MDD.

METHODS AND ANALYSIS: Key stakeholders, including patient partners, clinical experts, researchers, and modelers, designed and developed a discrete-time microsimulation model of the clinical pathways of adults with MDD in British Columbia (BC), including all publicly-funded treatment options and multiple treatment steps. The Simulation Model of Major Depression (SiMMDep) was coded with a modular approach to enhance flexibility. The model was populated using multiple original data analyses conducted with BC administrative data, a systematic review, and an expert panel. The model accommodates newly diagnosed and prevalent adult patients with MDD in BC, with and without PGx-guided treatment. SiMMDep comprises over 1500 parameters in eight modules: entry cohort, demographics, disease progression, treatment, adverse events, hospitalization, costs and quality-adjusted life-years (payoff), and mortality. The model predicts health outcomes and estimates costs from a health system perspective. In addition, the model can incorporate interactive decision nodes to address different implementation strategies for PGx testing (or other interventions) along the clinical pathway. We conducted various forms of model validation (face, internal, and cross-validity) to ensure the correct functioning and expected results of SiMMDep.

CONCLUSION: SiMMDep is Canada's first medication-specific, discrete-time microsimulation model for the treatment of MDD. With patient partner collaboration guiding its development, it incorporates realistic care journeys. SiMMDep synthesizes existing information and incorporates provincially-specific data to predict the benefits and costs associated with PGx testing. These predictions estimate the effectiveness, cost-effectiveness, resource utilization, and health gains of PGx testing compared with the current standard of care. However, the flexible analytic infrastructure can be adapted to support other policy questions and facilitate the rapid synthesis of new data for a broader search for efficiency improvements in the clinical field of depression.

PMID:38528312 | DOI:10.1007/s41669-024-00481-y

Front Pharmacol. 2024 Mar 8;15:1274442. doi: 10.3389/fphar.2024.1274442. eCollection 2024.

ABSTRACT

Background: Response to antipsychotics is subject to a wide interindividual variability, due to genetic and non-genetic factors. Several single nucleotide polymorphisms (SNPs) have been associated with response to antipsychotics in genome-wide association studies (GWAS). Polygenic risk scores (PRS) are a powerful tool to aggregate into a single measure the small effects of multiple risk alleles. Materials and methods: We studied the association between a PRS composed of SNPs associated with response to antipsychotics in GWAS studies (PRSresponse) in a real-world sample of patients (N = 460) with different diagnoses (schizophrenia spectrum, bipolar, depressive, neurocognitive, substance use disorders and miscellaneous). Two other PRSs composed of SNPs previously associated with risk of schizophrenia (PRSschizophrenia1 and PRSschizophrenia2) were also tested for their association with response to treatment. Results: PRSresponse was significantly associated with response to antipsychotics considering the whole cohort (OR = 1.14, CI = 1.03-1.26, p = 0.010), the subgroup of patients with schizophrenia, schizoaffective disorder or bipolar disorder (OR = 1.18, CI = 1.02-1.37, p = 0.022, N = 235), with schizophrenia or schizoaffective disorder (OR = 1.24, CI = 1.04-1.47, p = 0.01, N = 176) and with schizophrenia (OR = 1.27, CI = 1.04-1.55, p = 0.01, N = 149). Sensitivity and specificity were sub-optimal (schizophrenia 62%, 61%; schizophrenia spectrum 56%, 55%; schizophrenia spectrum plus bipolar disorder 60%, 56%; all patients 63%, 58%, respectively). PRSschizophrenia1 and PRSschizophrenia2 were not significantly associated with response to treatment. Conclusion: PRSresponse defined from GWAS studies is significantly associated with response to antipsychotics in a real-world cohort; however, the results of the sensitivity-specificity analysis preclude its use as a predictive tool in clinical practice.

PMID:38523642 | PMC:PMC10958197 | DOI:10.3389/fphar.2024.1274442

Hum Genomics. 2024 Mar 25;18(1):30. doi: 10.1186/s40246-024-00594-9.

ABSTRACT

BACKGROUND: SLCO1B1 plays an important role in mediating hepatic clearance of many different drugs including statins, angiotensin-converting enzyme inhibitors, chemotherapeutic agents and antibiotics. Several variants in SLCO1B1 have been shown to have a clinically significant impact, in relation to efficacy of these medications. This study provides a comprehensive overview of SLCO1B1 variation in Saudi individuals, one of the largest Arab populations in the Middle East.

METHODS: The dataset of 11,889 (9,961 exomes and 1,928 pharmacogenetic gene panel) Saudi nationals, was used to determine the presence and frequencies of SLCO1B1 variants, as described by the Clinical Pharmacogenetic Implementation Consortium (CPIC).

RESULTS: We identified 141 previously described SNPs, of which rs2306283 (50%) and rs4149056 (28%), were the most common. In addition, we observed six alleles [*15 (24.7%) followed by *20 (8.04%), *14 (5.86%), *5 (3.84%), *31 (0.21%) and *9 (0.03%)] predicted to be clinically actionable. Allele diplotype to phenotype conversion revealed 41 OATP1B1 diplotypes. We estimated the burden of rare, and novel predicted deleterious variants, resulting from 17 such alterations.

CONCLUSIONS: The data we present, from one of the largest Arab cohorts studied to date, provides the most comprehensive overview of SLCO1B1 variants, and the subsequent OATP1B1 activity of this ethnic group, which thus far remains relatively underrepresented in available international genomic databases. We believe that the presented data provides a basis for further clinical investigations and the application of personalized statin drug therapy guidance in Arabs.

PMID:38523294 | DOI:10.1186/s40246-024-00594-9