Pharmacogenomic landscape of the Thai population from genome sequencing of 949 individuals.

Inter-individual variability in drug responses is significantly influenced by genetic factors, underscoring the importance of population-specific pharmacogenomic studies to optimize clinical outcomes. In this study, we analyzed whole genome sequencing data from 949 unrelated Thai individuals and conducted an in-depth analysis of 3239 genes involved in drug pharmacokinetics, pharmacodynamics, or immune-mediated adverse drug reactions. We identified 43 single nucleotide polymorphisms (SNPs), 134 diplotypes, and 15 human leukocyte antigen (HLA) alleles, all with moderate to high clinical significance.

A stratified treatment algorithm in psychiatry: a program on stratified pharmacogenomics in severe mental illness (Psych-STRATA): concept, objectives and methodologies of a multidisciplinary project funded by Horizon Europe.

Schizophrenia (SCZ), bipolar (BD) and major depression disorder (MDD) are severe psychiatric disorders that are challenging to treat, often leading to treatment resistance (TR). It is crucial to develop effective methods to identify and treat patients at risk of TR at an early stage in a personalized manner, considering their biological basis, their clinical and psychosocial characteristics. Effective translation of theoretical knowledge into clinical practice is essential for achieving this goal.

Enhancing the Integration of Pre-Emptive Pharmacogenetic (PGx) Testing in Primary Care: Prioritizing Underserved Patients' Preferences in Implementation.

: The integration of pharmacogenetic (PGx) testing into primary care has not been widely implemented, despite its benefits for patients and providers. PGx testing could also reduce health disparities as patients with lower healthcare access are prescribed higher proportions of medications with PGx guidelines. Little is known about the preferences of patients who have experienced PGx testing to inform implementation across the care process.

The Future of Pharmacogenomics: Integrating Epigenetics, Nutrigenomics, and Beyond.

Pharmacogenomics (PGx) has revolutionized personalized medicine by empowering the tailoring of drug treatments based on individual genetic profiles. However, the complexity of drug response mechanisms necessitates the integration of additional biological and environmental factors. This article explores integrating epigenetics, nutrigenomics, microbiomes, protein interactions, exosomes, and metabolomics with PGx to enhance personalized medicine.

Targeting TOP2A in Ovarian Cancer: Biological and Clinical Implications.

The enzyme topoisomerase II alpha (TOP2A) plays a critical role in DNA replication and cell proliferation, making it a promising target for cancer therapy. In epithelial ovarian cancer (EOC), TOP2A overexpression is associated with poor prognosis and resistance to conventional treatments. This review explores the biological functions of TOP2A in EOC and discusses its potential as a therapeutic target.

Therapeutic Drug Monitoring of High-dose Sulbactam in Pediatric Patients: Preliminary Data From a Prospective Observational Pharmacokinetic Study.

Background: Rates of carbapenem-resistant Acinetobacter baumannii are rising in Thailand. Although high-dose (HD) sulbactam is recommended for treating carbapenem-resistant A. baumannii infections, data on plasma sulbactam concentrations in children are limited.

Genotype-Guided Asthma Treatment Reduces Exacerbations in Children: Meta-Analysis of Two RCTs.

Background: Long-acting beta2-agonists (LABA) in combination with inhaled corticosteroids (ICS) are commonly used to treat asthma, however, some children lack response to the addition of LABA. This might be partially due to the presence of the Arg16Gly polymorphism, encoded by rs1042713 G>A in the ADRB2 gene. Carrying the A allele (Arg16) at this variant has been associated with an increased risk of exacerbations despite LABA treatment.

Antitumor potentials of onco-microbial in Chinese patients with pancreatic cancer.

Recent studies have revealed that intratumoral microbiota is implicated in pancreatic cancer (PC), yet the spectra of intratumoral microbiota and their relationship with PC in Chinese patients remained to be clarified. In this study, tumor and paired paracancerous tissue from 53 patients were profiled by bacterial 16S rRNA gene sequencing. Both and -diversity displayed significant differences between tumors and adjacent tissues, with higher diversity in tumors.

Catalyzing Pharmacogenomic Analysis for Informing Pain Treatment (C-PAIN): A Randomized Trial of Preemptive Genotyping in Cancer Palliative Care.

Background: Cancer patients frequently suffer from pain, often managed with opioids. However, undertreated pain remains a significant concern. Opioid effectiveness varies due to genetic differences in how individuals metabolize some of these medications.

Pharmacogenetic Variations in Arab Populations: Clinical Implications for Personalized Drug Therapy.

Previous genetic studies on the genetic makeup of Arab populations highlight the diversity resulting from the distribution of specific genetic markers among various Arab descendant populations. Different genetic variants classified as clinically significant have been identified, impacting the response to administered drugs. Absorption, distribution, and excretion of drugs throughout the human body are managed through the actions of drug transporters and receptor proteins, which are expressed on the cellular membrane.

How crosstalk between mitochondria, lysosomes, and other organelles can prevent or promote dry age-related macular degeneration.

Organelles such as mitochondria, lysosomes, peroxisomes, and the endoplasmic reticulum form highly dynamic cellular networks and exchange information through sites of physical contact. While each organelle performs unique functions, this inter-organelle crosstalk helps maintain cell homeostasis. Age-related macular degeneration (AMD) is a devastating blinding disease strongly associated with mitochondrial dysfunction, oxidative stress, and decreased clearance of cellular debris in the retinal pigment epithelium (RPE).

Optimization of meropenem continuous infusion based on Monte Carlo simulation integrating with degradation study.

Objective: Meropenem degradation poses a challenge to continuous infusion (CI) implementation. However, data about the impact of degradation on the probability of target attainment (PTA) of meropenem has been limited. This study evaluated the stability of meropenem brands and the consequence of in-bottle degradation on PTA in different environmental scenarios.

Pharmacogenetics of colorectal cancer in a third-level hospital in Valencia.

Objectives: Genetic variants with associated pharmacokinetic and pharmacodynamic effects have an impact on the development of adverse drug reactions and survival of patients with colorectal cancer.

Methods: A selection of genetic variants was performed according to the established chemotherapy and the pharmacogenetic databases. Genotyping was performed using MassArray technology (Agena Bioscience).

Influence of HLA-G 3' Untranslated Region Haplotypes and SNP +3422 Gene Variants as Host Genetic Factors on the Outcomes of SARS-CoV-2 Infection During Acute and Post-Acute Phases in a German Cohort.

HLA-G, an important immune-checkpoint (IC) molecule that exerts inhibitory signalling on immune effector cells, has been suggested to represent a key player in regulating the immune response to Severe Acute Respiratory Syndrome Coronavirus Type 2 (SARS-CoV-2). Since specific single-nucleotide polymorphisms (SNP) in the HLA-G 3'untranslated region (UTR), which arrange as haplotypes, are crucial for the regulation of HLA-G expression, we analysed the contribution of these genetic variants as host factors in SARS-CoV-2 infection during acute and post-acute phases. HLA-G gene polymorphisms in the 3'UTR were investigated by sequencing in an unvaccinated Coronavirus Disease 2019 (COVID-19) cohort during acute SARS-CoV-2 infection (N = 505) and in the post-acute phase (N = 253).

Clinical characteristics of EGFR-ctDNA shedders in EGFR-mutant NSCLC patients.

Background: Circulating tumor DNA (ctDNA) revolutionized the molecular diagnostics of lung cancer by enabling non-invasive, sensitive identification of actionable mutations. However, ctDNA analysis may be challenging due to tumor shedding variability, leading to false negative results. This study aims to understand the determinants for ctDNA shedding based on clinical characteristics of lung cancer patients, for a better interpretation of false negative results to be considered when ordering ctDNA analysis for clinical practice.

Single-cell multi-omics analysis reveals candidate therapeutic drugs and key transcription factor specifically for the mesenchymal subtype of glioblastoma.

The inherent heterogeneity of tumor cells impedes the development of targeted therapies for specific glioblastoma (GBM) subtypes. This study aims to investigate the mesenchymal subtype of GBM to uncover detailed characteristics, potential therapeutic strategies, and improve precision treatment for GBM patients. We integrated single-cell RNA sequencing (scRNA-seq), single-nucleus assay for transposase-accessible chromatin sequencing (snATAC-seq), and bulk RNA sequencing datasets to identify core gene modules, candidate therapeutic drugs, and key transcription factors specific to mesenchymal subtype GBM tumor cells which we validated in vitro and human samples.

Individualized psychiatric care: integration of therapeutic drug monitoring, pharmacogenomics, and biomarkers.

Personalized treatment optimization considers individual clinical, genetic, and environmental factors influencing drug efficacy and tolerability. As evidence accumulates, these approaches may become increasingly integrated into standard psychiatric care, potentially transforming the treatment landscape for mental health disorders. While personalized treatment optimization shows promise in enhancing therapeutic outcomes and minimizing adverse effects, further research is needed to establish its clinical utility and cost-effectiveness across various psychiatric disorders.

A Study Of the effect of Sex on drug dosing, concentrations, and pharmacogenomics in the Montreal Heart Institute Hospital Cohort (SOS-PGx): methodology and research progress.

Background: Women are underrepresented in drug development trials and there is no sex-tailored drug regimen for most medications. It has been repeatedly shown that women have more adverse drug reactions than men for several medications. These differences could be explained by higher dose-adjusted drug concentrations in women.

Polymorphisms within genes encoding Ikaros family proteins IKZF1 and IKZF3 in multiple myeloma patients treated with thalidomide.

Background: Multiple myeloma (MM) is a hematological malignancy characterized by the presence of abnormal plasma cells. It is associated with anemia, bone lesions and renal dysfunction. Immunomodulatory drugs (IMiDs) are commonly used in MM treatment.

Genetic variation on dolutegravir pharmacokinetics and relation to safety and efficacy outcomes: a systematic review.

Background: Dolutegravir (DTG) is an antiviral agent used for the treatment of HIV, however, there is uncertainty over the influence of genetic variation on DTG exposure, and whether it has clinical implications for the efficacy or toxicity in different populations. This systematic review aims to create an overview of the impact of pharmacogenomics (PGx) on DTG exposure, efficacy, and toxicity.

Methods: Publications up to 14 November 2023 were searched and articles were selected on the following criteria: original research articles providing data on people with HIV, data on PGx and either PK or PD or both PD and PGx.

A genotype-guided prediction model for the incidence of persistent acute kidney injury following lung transplantation.

Background: This study aimed to develop a nomogram for predicting persistent renal dysfunction in acute kidney injury (AKI) following lung transplantation (LTx).

Method: A total of 229 LTx patients were enrolled, and genotyping for 153 single nucleotide polymorphisms (SNPs) was performed. The cohort was randomly divided into training (n = 183) and validation (n = 46) sets in an 8:2 ratio.

Leveraging artificial intelligence and machine learning to accelerate discovery of disease-modifying therapies in type 1 diabetes.

Progress in developing therapies for the maintenance of endogenous insulin secretion in, or the prevention of, type 1 diabetes has been hindered by limited animal models, the length and cost of clinical trials, difficulties in identifying individuals who will progress faster to a clinical diagnosis of type 1 diabetes, and heterogeneous clinical responses in intervention trials. Classic placebo-controlled intervention trials often include monotherapies, broad participant populations and extended follow-up periods focused on clinical endpoints. While this approach remains the 'gold standard' of clinical research, efforts are underway to implement new approaches harnessing the power of artificial intelligence and machine learning to accelerate drug discovery and efficacy testing.

Bridging genomics' greatest challenge: The diversity gap.

Achieving diverse representation in biomedical data is critical for healthcare equity. Failure to do so perpetuates health disparities and exacerbates biases that may harm patients with underrepresented ancestral backgrounds. We present a quantitative assessment of representation in datasets used across human genomics, including genome-wide association studies (GWASs), pharmacogenomics, clinical trials, and direct-to-consumer (DTC) genetic testing.

Pharmacogenomic profiling of the South Korean population: Insights and implications for personalized medicine.

Adverse drug reactions (ADRs) pose substantial public health issues, necessitating population-specific characterization due to variations in pharmacogenes. This study delineates the pharmacogenomic (PGx) landscape of the South Korean (SKR) population, focusing on 21 core pharmacogenes. Whole genome sequencing (WGS) was conducted on 396 individuals, including 99 healthy volunteers, 95 patients with chronic diseases, 81 with colon cancer, 81 with breast cancer, and 40 with gastric cancer, to identify genotype-specific drug dosing recommendations.