Cornea. 2024 Oct 1;43(10):e43. doi: 10.1097/ICO.0000000000003640.

NO ABSTRACT

PMID:39225356 | DOI:10.1097/ICO.0000000000003640

Croat Med J. 2024 Aug 31;65(4):383-395.

ABSTRACT

This report presents challenging psychopharmacotherapy management of a psychotic disorder in a patient with a delicate pharmacogenetic profile and drug-drug interactions. A 31-year old woman diagnosed with schizophrenia in 2017 was referred by her psychiatrist to a clinical pharmacologist for interpretation of a pharmacogenetic test and advice regarding optimal psychopharmacotherapy. In spite of adherence to aripiprazole, olanzapine, risperidone, and levomepromazine, and rational anxiolytic therapy, she still experienced anxiety, anhedonia, loss of appetite, sleeping problems, and auditory hallucinations with commands to harm herself. Due to a lack of alternative therapeutic steps, low aripiprazole serum concentrations, and a lack of explanation for pharmacotherapy unresponsiveness, pharmacogenetic testing was performed. The patient was defined as CYP2D6 *1/*1, CYP1A2 *1F/*1F, CYP3A4 *1/*1B, CYP3A5 *1/*3, and having increased activity of the enzymes UGT1A4 and UGT2B7, intermediate activity of ABCB1 transporter, and low activity of COMT. Carbamazepine was discontinued, aripiprazole was increased to a maximum of 30 mg/day orally with long-acting injection (400 mg monthly), and olanzapine was increased to a daily dose of 35 mg orally. These changes led to an optimal therapeutic drug concentration and improved clinical status. At the last follow-up, the patient was without severe auditory hallucinations, became more engaged in daily life, had more interaction with others, had found a job, and even had started an emotional relationship. In psychiatry, pharmacogenetic testing is an important tool for guiding pharmacological therapy, particularly in patients with an unsatisfactory clinical response and a lack of alternative therapeutic steps for pharmacotherapy unresponsiveness.

PMID:39219201

Biochem Pharmacol. 2024 Aug 30:116515. doi: 10.1016/j.bcp.2024.116515. Online ahead of print.

ABSTRACT

Cytochrome P450 2B6 (CYP2B6) catalyzes the metabolism of many drugs, including efavirenz and propofol. Genetic polymorphisms in CYP2B6 alter its enzymatic activity and substantially affect its pharmacokinetics. High-frequency variants, such as CYP2B6*6, are associated with the risk of developing side effects due to reduced CYP2B6 activity. However, the impact of rare alterations on enzyme function remains unknown, and some of these variants may significantly decrease the CYP2B6 activity. Therefore, in this study, we evaluated in vitro the functional alterations in 29 missense variants of the CYP2B6 gene identified in 8,380 Japanese individuals. Wild-type CYP2B6 and 29 rare CYP2B6 variants were transiently expressed in mammalian cells. The expression levels of variant CYP2B6 proteins in the microsomal fractions extracted from 293FT cells were assessed using western blotting and reduced-carbon monoxide difference spectroscopy, and a specific peak at 450 nm was detected in the wild-type and 19 variants. Furthermore, kinetic parameters were determined by assaying the reactions with efavirenz and propofol and quantifying the metabolite concentrations. We found that 12 variants had significantly lower or abolished enzymatic activity with both the substrates. In silico three-dimensional docking and molecular-dynamics simulations suggested that these functional changes were due to conformational changes in essential regions, such as the heme-binding site and ligand channels involved in transporting substrates to the active site. These findings have implications for predicting the plasma concentrations of CYP2B6 substrates and controlling their side effects.

PMID:39218044 | DOI:10.1016/j.bcp.2024.116515

JACC Cardiovasc Interv. 2024 Aug 5:S1936-8798(24)00978-6. doi: 10.1016/j.jcin.2024.07.014. Online ahead of print.

NO ABSTRACT

PMID:39217532 | DOI:10.1016/j.jcin.2024.07.014

Eur Heart J. 2024 Sep 1:ehae595. doi: 10.1093/eurheartj/ehae595. Online ahead of print.

ABSTRACT

BACKGROUND AND AIMS: Deep learning applied to electrocardiograms (ECG-AI) is an emerging approach for predicting atrial fibrillation or flutter (AF). This study introduces an ECG-AI model developed and tested at a tertiary cardiac centre, comparing its performance with clinical and AF polygenic scores (PGS).

METHODS: ECG in sinus rhythm from the Montreal Heart Institute were analysed, excluding those from patients with preexisting AF. The primary outcome was incident AF at 5 years. An ECG-AI model was developed by splitting patients into non-overlapping datasets: 70% for training, 10% for validation, and 20% for testing. Performance of ECG-AI, clinical models and PGS was assessed in the test dataset. The ECG-AI model was externally validated in the Medical Information Mart for Intensive Care-IV (MIMIC-IV) hospital dataset.

RESULTS: A total of 669,782 ECGs from 145,323 patients were included. Mean age was 61±15 years, and 58% were male. The primary outcome was observed in 15% of patients and the ECG-AI model showed an area under the receiver operating characteristic curve (AUC) of 0.78. In time-to-event analysis including the first ECG, ECG-AI inference of high risk identified 26% of the population with a 4.3-fold increased risk of incident AF (95% confidence interval 4.02-4.57). In a subgroup analysis of 2,301 patients, ECG-AI outperformed CHARGE-AF (AUC=0.62) and PGS (AUC=0.59). Adding PGS and CHARGE-AF to ECG-AI improved goodness-of-fit (likelihood ratio test p<0.001), with minimal changes to the AUC (0.76-0.77). In the external validation cohort (mean age 59±18 years, 47% male, median follow-up 1.1 year) ECG-AI model performance= remained consistent (AUC=0.77).

CONCLUSIONS: ECG-AI provides an accurate tool to predict new-onset AF in a tertiary cardiac centre, surpassing clinical and polygenic scores.

PMID:39217446 | DOI:10.1093/eurheartj/ehae595

Mol Biol Rep. 2024 Aug 31;51(1):947. doi: 10.1007/s11033-024-09873-z.

ABSTRACT

BACKGROUND: End stage renal disease (ESRD) occurs when the kidneys are unable to filter the waste products and excessive fluids from the blood that results into the accumulation of toxins and fluid in the body. Tacrolimus is commonly used immunosuppressant while sirolimus and cyclosporin are rarely used drugs to stop solid organ transplant rejection. The host's immunological response following transplantation produces interleukin-10 (IL-10), which influences the varied CYP3A-dependent drug disposition of tacrolimus. The aim of this study was to determine the genetic polymorphisms of IL-10 (rs1800871, rs1800872 and rs1800896) gene associated with tacrolimus metabolism in kidney transplant patients from Lahore Punjab, Pakistan.

METHODS: The study collected blood samples of 103 healthy individuals and 137 kidney transplant patients as control and treatment groups, respectively. We employed Tetra ARMS PCR for the genotype analysis of extracted DNA. The alleles were called on 2% agarose gel. Moreover, the study utilized SPSS software to analyze statistical significance of polymorphism.

RESULTS: It was found that genotypic frequencies of IL-10 (rs1800871), IL-10 (rs1800872), and IL-10 (rs1800896) were (TT: 66.4%; TC: 31.4%; CC: 2.2%), (AA: 27.7%; AC: 54%; CC: 18.2%), (AA: 64.2%; GA: 17.5%; GG: 18.3%), respectively among kidney transplant patients. All parameters show significant association at different points after transplantation. Genetic analysis showed that TC and CC genotypes in rs1800871 (OR (95%CI) = 5.721 (3.231-10.131), P < 0.001; OR (95%CI) = 3.370 (0.642-17.672), P = 0.150), AC and CC genotypes in rs1800872 (OR (95%CI) = 1.294 (0.695-2.410), P = 0.415; OR (95%CI) = 1.453 (0.671-3.147), P = 0.342), GA and GG genotypes in rs1800896 (OR (95%CI) = 42.952 (17.566-105.021), P = 0.001; OR (95%CI) = 7.040 (2.563-19.333), P = 0.342) was associated with risk of renal rejection in kidney transplant patients. Besides, genetic models showed that TT in rs1800871, AA genotypes in rs1800872 and rs1800892 were associated with risk of renal rejection under dominant model when compared to controls (OR (95%CI) = 5.721 (3.231-10.131), P < 0.001; OR (95%CI) = 1.335 (0.735-9.290), P < 0.341; OR (95%CI) = 24.629 (10.599-57.230), P < 0.001), respectively.

CONCLUSION: From the results, it is concluded that genetic polymorphism of IL-10 (rs1800871, rs1800872 and rs1800896) has a highly significant association with risk of renal rejection in Pakistani kidney transplant patients.

PMID:39215891 | DOI:10.1007/s11033-024-09873-z

Biochim Biophys Acta Mol Basis Dis. 2024 Aug 29;1870(8):167482. doi: 10.1016/j.bbadis.2024.167482. Online ahead of print.

ABSTRACT

Two distinct defense strategies, disease resistance (DR) and disease tolerance (DT), enable a host to survive infectious diseases. Newborns, constrained by limited energy reserves, predominantly rely on DT to cope with infection. However, this approach may fail when pathogen levels surpass a critical threshold, prompting a shift to DR that can lead to dysregulated immune responses and sepsis. The mechanisms governing the interplay between DR and DT in newborns remain poorly understood. Here, we compare metabolic traits and defense strategies between survivors and non-survivors in Staphylococcus epidermidis (S. epidermidis)-infected preterm piglets, mimicking infection in preterm infants. Compared to non-survivors, survivors displayed elevated DR during the initial phase of infection, followed by stronger DT in later stages. In contrast, non-survivors showed clear signs of respiratory and metabolic acidosis and hyperglycemia, together with exaggerated inflammation and organ dysfunctions. Hepatic transcriptomics revealed a strong association between the DT phenotype and heightened oxidative phosphorylation in survivors, coupled with suppressed glycolysis and immune signaling. Plasma metabolomics confirmed the findings of metabolic regulations associated with DT phenotype in survivors. Our study suggests a significant association between the initial DR and subsequent DT, which collectively contributes to improved infection survival. The regulation of metabolic processes that optimize the timing and balance between DR and DT holds significant potential for developing novel therapeutic strategies for neonatal infection.

PMID:39213794 | DOI:10.1016/j.bbadis.2024.167482

Am J Health Syst Pharm. 2024 Aug 30:zxae246. doi: 10.1093/ajhp/zxae246. Online ahead of print.

NO ABSTRACT

PMID:39213317 | DOI:10.1093/ajhp/zxae246

Clin Pharmacol Drug Dev. 2024 Aug 30. doi: 10.1002/cpdd.1465. Online ahead of print.

ABSTRACT

Abrocitinib is a selective Janus kinase 1 inhibitor approved for the treatment of atopic dermatitis. It is metabolized primarily by cytochrome P450 (CYP) 2C19 (approximately 53%) and CYP2C9 (approximately 30%), which form 2 active metabolites. The pharmacologic activity of abrocitinib is attributable to the unbound exposures of abrocitinib and those metabolites with active moiety area under the plasma concentration-time curve (AUC) considered the best measure of the total pharmacological effect. The effect of CYP2C19 and/or CYP2C9 genotypes on abrocitinib and active moiety exposures were evaluated using a meta-analysis of the noncompartmental estimates of exposure pooled from 10 clinical studies. A linear mixed-effects model was developed on the basis of the power model to evaluate the effect of CYP2C19 and/or CYP2C9 genotypes on exposure (i.e., abrocitinib AUC and peak plasma concentration, active moiety AUC and peak plasma concentration). The genotypes were evaluated individually and as a combined phenotype effect. When evaluating the poor metabolizers of CYP2C19 or CYP2C9 individually, the estimated increases were 44.9% and 42.0% in active moiety AUC, respectively. The combined phenotype models showed a 0.6% decrease, and 25.1% and 10.5% increases in the active moiety AUC for "elevated," "mixed," and "reduced" metabolizers, respectively. Overall, the active moiety exposures did not appear to be affected to a clinically meaningful extent by different genotypes of CYP2C19 and/or CYP2C9.

PMID:39212958 | DOI:10.1002/cpdd.1465

World Allergy Organ J. 2024 Aug 5;17(8):100936. doi: 10.1016/j.waojou.2024.100936. eCollection 2024 Aug.

ABSTRACT

BACKGROUND: Severe cutaneous adverse reactions (SCAR) are a group of delayed presumed T-cell mediated hypersensitivities associated with significant morbidity and mortality. Despite their shared global healthcare burden and impact, the clinical phenotypes, genomic predisposition, drug causality, and treatment outcomes may vary. We describe the establishment and results from the first Australasian registry for SCAR (AUS-SCAR), that via a collaborative network advances strategies for the prevention, diagnosis and treatment of SCAR.

METHODS: Prospective multi-center registry of SCAR in Australian adult and adolescents, with planned regional expansion. The registry collects externally verified phenotypic data drug causality, therapeutics and long-term patient outcomes. In addition, biorepository specimens and DNA are collected at participating sites.

RESULTS: we report on the first 100 patients enrolled in the AUS-SCAR database. DRESS (50%) is the most predominant phenotype followed by SJS/TEN (39%) and AGEP (10%), with median age of 52 years old (IQR 37.5, 66) with 1:1 male-to-female ratio. The median latency for all implicated drugs is highly variable but similar for DRESS (median 15 days IQR 5,25) and SJS/TEN (median 21 days, IQR 7,27), while lowest for AGEP (median 2.5 days, IQR 1,8). Antibiotics (54.5%) are more commonly listed as primary implicated drug compare with non-antibiotics agent (45.5%). Mortality rate at 90 days was highest in SJS/TEN at 23.1%, followed by DRESS (4%) and AGEP (0%).

CONCLUSION: In the first prospective national phenotypic and biorepository of SCAR in the southern hemisphere we demonstrate notable differences to other reported registries; including DRESS-predominant phenotype, varied antibiotic causality and low overall mortality rate. This study also highlights the lack of standardised preventative pharmacogenomic measures and in vitro/in vivo diagnostic strategies to ascertain drug causality.

TRIAL REGISTRATION: ANZCTR ACTRN12619000241134. Registered 19 February 2019.

PMID:39211425 | PMC:PMC11357849 | DOI:10.1016/j.waojou.2024.100936

Acta Gastroenterol Belg. 2024 Apr-Jun;87(2):332-335. doi: 10.51821/87.2.12034.

NO ABSTRACT

PMID:39210767 | DOI:10.51821/87.2.12034

Lancet HIV. 2024 Sep;11(9):e568-e569. doi: 10.1016/S2352-3018(24)00206-6.

NO ABSTRACT

PMID:39209384 | DOI:10.1016/S2352-3018(24)00206-6

Int J Neuropsychopharmacol. 2024 Aug 29:pyae035. doi: 10.1093/ijnp/pyae035. Online ahead of print.

ABSTRACT

BACKGROUND: Alcohol and nicotine interact with the nicotinic acetylcholine receptor system to alter reward-related responses, thereby contributing to the co-use and misuse of these drugs. A missense polymorphism rs16969968 (G>A) in the CHRNA5 gene has shown a strong association with nicotine-related phenotypes. However, less is known about the impact of this variant on alcohol-related phenotypes.

METHODS: We assessed the main and interactive effect of smoking and rs16969968 polymorphism on alcohol consumption using the Alcohol Use Disorders Identification Test (AUDIT), Timeline Follow Back (TLFB), and Lifetime Drinking History (LDH) in 980 healthy adults without alcohol use disorder. We further examined the effect of the rs16969968 polymorphism on acute alcohol consumption using a free-access intravenous alcohol self-administration (IV-ASA) human laboratory paradigm in a subset of 153 non-smoking participants. Subjective alcohol responses, alcohol sensitivity, and expectancy measures were compared between genotype groups (GG; AA/AG).

RESULTS: We observed a significant association of smoking with AUDIT, TLFB, and LDH measures across genotype groups, with smokers showing higher scores compared to non-smokers. Additionally, we found an association between genotype and TLFB-total drinks in the IV-ASA subset, with the GG group showing higher scores than AA/AG group. Relatedly, the alcohol negative expectancy score was significantly lower in the GG group than the AA/AG group.

CONCLUSIONS: Our findings underscore the association of smoking with alcohol measures. We found preliminary evidence for the protective effect of the functional CHRNA5 polymorphism on alcohol consumption and its association with increased negative alcohol expectancies, which highlights the substantial heterogeneity in alcohol responses.

PMID:39208422 | DOI:10.1093/ijnp/pyae035

Cell Rep. 2024 Aug 28;43(9):114692. doi: 10.1016/j.celrep.2024.114692. Online ahead of print.

ABSTRACT

Our understanding of how fluid forces influence cell migration in confining environments remains limited. By integrating microfluidics with live-cell imaging, we demonstrate that cells in tightly-but not moderately-confined spaces reverse direction and move upstream upon exposure to fluid forces. This fluid force-induced directional change occurs less frequently when cells display diminished mechanosensitivity, experience elevated hydraulic resistance, or sense a chemical gradient. Cell reversal requires actin polymerization to the new cell front, as shown mathematically and experimentally. Actin polymerization is necessary for the fluid force-induced activation of NHE1, which cooperates with calcium to induce upstream migration. Calcium levels increase downstream, mirroring the subcellular distribution of myosin IIA, whose activation enhances upstream migration. Reduced lamin A/C levels promote downstream migration of metastatic tumor cells by preventing cell polarity establishment and intracellular calcium rise. This mechanism could allow cancer cells to evade high-pressure environments, such as the primary tumor.

PMID:39207902 | DOI:10.1016/j.celrep.2024.114692

Front Biosci (Landmark Ed). 2024 Aug 21;29(8):297. doi: 10.31083/j.fbl2908297.

ABSTRACT

Making a correct genetically based diagnosis in patients with diseases associated with mitochondrial dysfunction can be challenging both genetically and clinically, as can further management of such patients on the basis of molecular-genetic data assessing the state of their mitochondria. In this opinion article, we propose a novel approach (which may result in a clinical protocol) to the use of a precise molecular-genetic tool in order to monitor the state of mitochondria (which reflects their function) during treatment of certain conditions, by means of not only signs and symptoms but also the molecular-genetic basis of the current condition. This is an example of application of personalized genomic medicine at the intersection of a person's mitochondrial genome information and clinical care. Advantages of the proposed approach are its relatively low cost (compared to various types of sequencing), an ability to use samples with a low input amount of genetic material, and rapidness. When this approach receives positive outside reviews and gets an approval of experts in the field (in terms of the standards), it may then be picked up by other developers and introduced into clinical practice.

PMID:39206924 | DOI:10.31083/j.fbl2908297

Clin Transl Sci. 2024 Sep;17(9):e70017. doi: 10.1111/cts.70017.

ABSTRACT

Frequencies of pharmacogenetic (PGx) variants are known to differ substantially across populations but much of the available PGx literature focuses on one or a few population groups, often defined in nonstandardized ways, or on a specific gene or variant. Guidelines produced by the Clinical Pharmacogenetic Implementation Consortium (CPIC) provide consistent methods of literature extraction, curation, and reporting, including comprehensive curation of allele frequency data across nine defined "biogeographic groups" from the PGx literature. We extracted data from 23 CPIC guidelines encompassing 19 genes to compare the sizes of the populations from each group and allele frequencies of altered function alleles across groups. The European group was the largest in the curated literature for 16 of the 19 genes, while the American and Oceanian groups were the smallest. Nearly 200 alleles were detected in nonreference groups that were not reported in the largest (reference) group. The genes CYP2B6 and CYP2C9 were more likely to have higher frequencies of altered function alleles in nonreference groups compared to the reference group, while the genes CYP4F2, DPYD, SLCO1B1, and UGT1A1 were less likely to have higher frequencies in nonreference groups. PGx allele frequencies and function differ substantially across nine biogeographic groups, all but two of which are underrepresented in available PGx data. Awareness of these differences and increased efforts to characterize the breadth of global PGx variation are needed to ensure that implementation of PGx-guided drug selection does not further widen existing health disparities among populations currently underrepresented in PGx data.

PMID:39206687 | DOI:10.1111/cts.70017

Pharmaceutics. 2024 Aug 20;16(8):1091. doi: 10.3390/pharmaceutics16081091.

ABSTRACT

3,4-Methylenedioxymethamphetamine (MDMA) is a synthetic amphetamine derivative with notable psychoactive properties and emerging therapeutic potential, particularly for treating post-traumatic stress disorders (PTSD) and substance use disorders. However, its use remains controversial due to inter-individual variability influenced by both environmental and genetic factors. In this context, pharmacogenomics could play a crucial role in guiding MDMA treatment by identifying individuals with genetic predispositions affecting their response to MDMA. Tailoring treatment plans based on individual's genetic makeup may enhance therapeutic outcomes and minimize adverse effects, leading to safer and more effective use of MDMA in clinical settings. Literature analysis reveals that the influence of genetic variants within genes encoded for enzymes involved in MDMA metabolism and/or pharmacodynamics (PD) targets have been relatively under-investigated in humans. Some studies have pointed out associations between MDMA-induced effects and polymorphisms. For example, the catechol-O-methyltransferase (COMT) Val158Met polymorphism has been associated with cognitive and cardiovascular MDMA-induced effects. Similarly, polymorphisms in the serotonin-linked promoter region (5HTTLPR) have been associated with several MDMA-induced adverse effects including mood disorders. However, despite these findings, only a few associations have been highlighted. Furthermore, some genes encoded for MDMA targets have been only poorly investigated, representing a significant research gap. These observations underscore the need for large-scale, controlled pharmacogenomics studies focusing on a broad panel of genes involved into MDMA pharmacokinetics and PD. Such studies could provide critical insights for optimizing MDMA's therapeutic use and minimizing its risks.

PMID:39204437 | DOI:10.3390/pharmaceutics16081091

Pharmaceutics. 2024 Aug 17;16(8):1077. doi: 10.3390/pharmaceutics16081077.

ABSTRACT

Mirabegron is a drug used in overactive bladder (OAB) treatment. Genetic variation in pharmacogenes might alter its pharmacokinetics, affecting its efficacy and safety. This research aimed to analyze the impact of genetic variation on mirabegron pharmacokinetics and safety. Volunteers from three bioequivalence trials (n = 79), treated with a single or a multiple dose of mirabegron 50 mg under fed or fasting conditions, were genotyped for 115 variants in pharmacogenes and their phenotypes were inferred. A statistical analysis was performed, searching for associations between genetics, pharmacokinetics and safety. CYP2D6 intermediate metabolizers showed a higher elimination half-life (t1/2) (univariate p-value (puv) = 0.018) and incidence of adverse reactions (ADRs) (puv = 0.008, multivariate p (pmv) = 0.010) than normal plus ultrarapid metabolizers. The UGT1A4 rs2011425 T/G genotype showed a higher t1/2 than the T/T genotype (puv = 0.002, pmv = 0.003). A lower dose/weight corrected area under the curve (AUC/DW) and higher clearance (CL/F) were observed in the SLC6A2 rs12708954 C/C genotype compared to the C/A genotype (puv = 0.015 and 0.016) and ADR incidence was higher when the SLCO1B1 function was decreased (puv = 0.007, pmv = 0.010). The lower elimination and higher ADR incidence when CYP2D6 activity is reduced suggest it might be a useful biomarker in mirabegron treatment. UGT1A4, SLC6A2 and SLCO1B1 might also be involved in mirabegron pharmacokinetics.

PMID:39204422 | DOI:10.3390/pharmaceutics16081077

Pharmaceuticals (Basel). 2024 Aug 7;17(8):1040. doi: 10.3390/ph17081040.

ABSTRACT

Gefitinib is a selective inhibitor of the epidermal growth factor receptor that is used to treat advanced and metastatic non-small cell lung cancer (NSCLC). Dermatological adverse reactions are most commonly associated with gefitinib treatment. The cause of adverse reactions in individuals is multifactorial. Pharmacogenetics is an effective tool to detect such adverse reactions. This case report describes a female patient with NSCLC who was administered gefitinib at a dose of 250 mg/day. However, due to severe adverse dermatological reactions, the treatment was interrupted for 15 d and antibiotic therapy was administered to manage the skin rashes, maculopapular rashes, and hyperpigmentation. Treatment adherence was adequate, and no drug interactions were detected. A pharmacogenetic analysis revealed homozygosity in the ATP-binding cassette (ABC)-B1 rs1128503 (c.1236A>G), heterozygosity in ABCG2 rs2231142 (c.421G>T) and rs2622604 (c.-20+614T>C), and a non-functional variant of the cytochrome P450 family 3, subfamily A, member 5 (CYP3A5). The relationship between altered genetic variants and the presence of adverse reactions induced by gefitinib is still controversial. Overall, this case report highlights the importance of continuing to study pharmacogenetics as predictors of adverse drug reactions.

PMID:39204145 | DOI:10.3390/ph17081040

Pharmaceuticals (Basel). 2024 Aug 6;17(8):1035. doi: 10.3390/ph17081035.

ABSTRACT

Most medications undergo metabolism and elimination via CYP450 enzymes, while uptake and efflux transporters play vital roles in drug elimination from various organs. Interactions often occur when multiple drugs share CYP450-transporter-mediated metabolic pathways, necessitating a unique clinical care strategy to address the diverse types of CYP450 and transporter-mediated drug-drug interactions (DDI). The primary focus of this review is to record relevant mechanisms regarding DDI between COVID-19 and tuberculosis (TB) treatments, specifically through the influence of CYP450 enzymes and transporters on drug absorption, distribution, metabolism, elimination, and pharmacokinetics. This understanding empowers clinicians to prevent subtherapeutic and supratherapeutic drug levels of COVID medications when co-administered with TB drugs, thereby mitigating potential challenges and ensuring optimal treatment outcomes. A comprehensive analysis is presented, encompassing various illustrative instances of TB drugs that may impact COVID-19 clinical behavior, and vice versa. This review aims to provide valuable insights to healthcare providers, facilitating informed decision-making and enhancing patient safety while managing co-infections. Ultimately, this study contributes to the body of knowledge necessary to optimize therapeutic approaches and improve patient outcomes in the face of the growing challenges posed by infectious diseases.

PMID:39204140 | DOI:10.3390/ph17081035