Clin Pharmacol Ther. 2024 Jun 18. doi: 10.1002/cpt.3348. Online ahead of print.

ABSTRACT

The ability of freely available in silico tools to predict the effect of non-synonymous single nucleotide polymorphisms (nsSNPs) in pharmacogenes on protein function is not well defined. We assessed the performance of seven sequence-based (SIFT, PolyPhen2, mutation accessor, FATHMM, PhD-SNP, MutPred2, and SNPs & Go) and five structure-based (mCSM, SDM, DDGun, CupSat, and MAESTROweb) tools in predicting the impact of 118 nsSNPs in the CYP2C19, CYP2C9, CYP2B6, CYP2D6, and DPYD genes with known function (24 normal, one increased, 42 decreased, and 51 no-function). Sequence-based tools had a higher median (IQR) positive predictive value (89% [89-94%] vs. 12% [10-15%], P < 0.001) and lower negative predictive value (30% [24-34%] vs. 90% [80-93%], P < 0.001) than structure-based tools. Accuracy did not significantly differ between sequence-based (59% [37-67%]) and structure-based (34% [23-44%]) tools (P = 0.070). Notably, the no-function CYP2C9*3 allele and decreased function CYP2C9*8 allele were predicted incorrectly as tolerated by 100% of sequenced-based tools and as stabilizing by 60% and 20% of structure-based tools, respectively. As a case study, we performed mutational analysis for the CYP2C9*1, *3 (I359L), and *8 (R150H) proteins through molecular dynamic (MD) simulations using S-warfarin as the substrate. The I359L variant increased the distance of the major metabolic site of S-warfarin to the oxy-ferryl center of CYP2C9, and I359L and R150H caused shifts in the conformation of S-warfarin to a position less favorable for metabolism. These data suggest that MD simulations may better capture the impact of nsSNPs in pharmacogenes than other tools.

PMID:38894625 | DOI:10.1002/cpt.3348

Clin Transl Sci. 2024 Jun;17(6):e13867. doi: 10.1111/cts.13867.

ABSTRACT

Genetic screening for HLA-B*15:02 before prescribing carbamazepine is standard practice to prevent severe cutaneous adverse reactions in Asian populations. These reactions are associated not only with this allele but also with closely related HLA-B75 serotype markers-HLA-B*15:11 and HLA-B*15:21-which are prevalent in several Asian countries. However, a reliable method for identifying HLA-B75 serotype markers is still not available. We developed an in-house quantitative PCR (qPCR) for HLA-B75 screening and validated it using 303 anonymized DNA samples. Due to inadequate quality control, the qPCR results for 11 samples were excluded. We analyzed the sensitivity and specificity of the test using 93 HLA-typed samples. The concordance between the qPCR method and an established screening method was assessed using 199 HLA-screened samples tested for HLA-B*15:02 at Songklanagarind Hospital, Songkhla, Thailand. All discordant results were confirmed by Sanger sequencing. The qPCR method demonstrated a sensitivity of 100% (95% confidence interval = 83.16%-100.00%) and a specificity of 100% (95% confidence interval = 95.07%-100.00%). Concordance analysis revealed a 96.5% agreement between methods (192/199; 44 positive and 148 negative results). All discordant results were due to HLA-B75 markers not being HLA-B*15:02 (two samples with HLA-B*15:11 and five samples with HLA-B*15:21). In conclusion, this qPCR method could be useful for identifying HLA-B75 carriers at risk of carbamazepine-induced reactions in Asian populations where carriers of HLA-B*15:02, HLA-B*15:11, or HLA-B*15:21 are common.

PMID:38894615 | DOI:10.1111/cts.13867

Nutrients. 2024 May 21;16(11):1559. doi: 10.3390/nu16111559.

ABSTRACT

This study aimed to compare and relate the body composition (obtained through anthropometry with the pentacompartmental model and the tricompartmental model by DXA) with bone mineral density and biochemical and nutritional parameters in Chilean adults with overweight/obesity and normal weight from La Araucanía region, Chile. A case-control study was conducted with 116 adults and volunteers from the PURE cohort, collecting sociodemographic data, BMI assessment, waist-to-hip ratio (WHR), and body composition using the pentacompartmental model (5CM) and tricompartmental model (3CM) by DXA, as well as bone mineral density (BMD). Blood biochemical parameters (fasting glucose and lipid profile), physical activity (PA) measured by GPAQ, and average dietary habits (R24h) were measured. In the overweight/obesity group, the 5CM and 3CM adipose mass were indirectly and moderately correlated with PA (p < 0.05), except in the male 5CM group. In the overweight/obesity group, muscle and fat-free mass (FFM) of the 5CM and 3CM correlated directly and moderately with blood fasting glucose (BFG) and BMD (p < 0.05), except in females, where FFM was not related to BMD but was related to residual mass (p < 0.01). Independent of gender and BMI, bone mineral content was positively and highly correlated with BMD (p < 0.0000). In the male overweight/obesity group, bone, skin, and residual mass were correlated with BFG (p < 0.05). In conclusion, for the assessment of non-athletic adult populations, more routine use of the 5CM in clinical practice is recommended.

PMID:38892493 | DOI:10.3390/nu16111559

Int J Mol Sci. 2024 May 31;25(11):6058. doi: 10.3390/ijms25116058.

ABSTRACT

This ABIGENE pharmacokinetic (PK) study sought mainly to characterize the unchanged drug PK during long-term abiraterone acetate (AA) administration in advanced prostate cancer patients (81 patients). It was observed that individual AA concentrations remained constant over treatment time, with no noticeable changes during repeated long-term drug administration for up to 120 days. There was no correlation between AA concentrations and survival outcomes. However, a significant association between higher AA concentrations and better clinical benefit was observed (p = 0.041). The safety data did not correlate with the AA PK data. A significant positive correlation (r = 0.40, p < 0.001) was observed between mean AA concentration and patient age: the older the patient, the higher the AA concentration. Patient age was found to impact steady-state AA concentration: the older the patient, the higher the mean AA concentration. Altogether, these data may help to guide future research and clinical trials in order to maximize the benefits of AA metastatic castration-resistant prostate cancer patients.

PMID:38892246 | DOI:10.3390/ijms25116058

Int J Mol Sci. 2024 May 29;25(11):5925. doi: 10.3390/ijms25115925.

ABSTRACT

This review emphasises the importance of opioid monitoring in clinical practice and advocates for a personalised approach based on pharmacogenetics. Beyond effectively managing pain, meticulous oversight is required to address concerns about side effects, specially due to opioid-crisis-related abuse and dependence. Various monitoring techniques, along with pharmacogenetic considerations, are critical for personalising treatment and optimising pain relief while reducing misuse and addiction risks. Future perspectives reveal both opportunities and challenges, with advances in analytical technologies holding promise for increasing monitoring efficiency. The integration of pharmacogenetics has the potential to transform pain management by allowing for a precise prediction of drug responses. Nevertheless, challenges such as prominent pharmacogenetic testing and guideline standardisation persist. Collaborative efforts are critical for transforming scientific advances into tangible improvements in patient care. Standardised protocols and interdisciplinary collaboration are required to ensure consistent and evidence-based opioid monitoring. Future research should look into the long-term effects of opioid therapy, as well as the impact of genetic factors on individual responses, to help guide personalised treatment plans and reduce adverse events. Lastly, embracing innovation and collaboration can improve the standard of care in chronic pain management by striking a balance between pain relief and patient safety.

PMID:38892112 | DOI:10.3390/ijms25115925

Int J Mol Sci. 2024 May 26;25(11):5793. doi: 10.3390/ijms25115793.

ABSTRACT

Genetic biomarkers could potentially lower the risk of treatment failure in chronic inflammatory diseases (CID) like psoriasis, psoriatic arthritis (PsA), rheumatoid arthritis (RA), and inflammatory bowel disease (IBD). We performed a systematic review and meta-analysis assessing the association between single nucleotide polymorphisms (SNPs) and response to biologics. Odds ratio (OR) with 95% confidence interval (CI) meta-analyses were performed. In total, 185 studies examining 62,774 individuals were included. For the diseases combined, the minor allele of MYD88 (rs7744) was associated with good response to TNFi (OR: 1.24 [1.02-1.51], 6 studies, 3158 patients with psoriasis or RA) and the minor alleles of NLRP3 (rs4612666) (OR: 0.71 [0.58-0.87], 5 studies, 3819 patients with RA or IBD), TNF-308 (rs1800629) (OR: 0.71 [0.55-0.92], 25 studies, 4341 patients with psoriasis, RA, or IBD), FCGR3A (rs396991) (OR: 0.77 [0.65-0.93], 18 studies, 2562 patients with psoriasis, PsA, RA, or IBD), and TNF-238 (rs361525) (OR: 0.57 [0.34-0.96]), 7 studies, 818 patients with psoriasis, RA, or IBD) were associated with poor response to TNFi together or infliximab alone. Genetic variants in TNFα, NLRP3, MYD88, and FcRγ genes are associated with response to TNFi across several inflammatory diseases. Most other genetic variants associated with response were observed in a few studies, and further validation is needed.

PMID:38891983 | DOI:10.3390/ijms25115793

Int J Mol Sci. 2024 May 26;25(11):5774. doi: 10.3390/ijms25115774.

ABSTRACT

Glioblastoma is the most common malignant primary brain tumor in the adult population, with an average survival of 12.1 to 14.6 months. The standard treatment, combining surgery, radiotherapy, and chemotherapy, is not as efficient as we would like. However, the current possibilities are no longer limited to the standard therapies due to rapid advancements in biotechnology. New methods enable a more precise approach by targeting individual cells and antigens to overcome cancer. For the treatment of glioblastoma, these are gamma knife therapy, proton beam therapy, tumor-treating fields, EGFR and VEGF inhibitors, multiple RTKs inhibitors, and PI3K pathway inhibitors. In addition, the increasing understanding of the role of the immune system in tumorigenesis and the ability to identify tumor-specific antigens helped to develop immunotherapies targeting GBM and immune cells, including CAR-T, CAR-NK cells, dendritic cells, and immune checkpoint inhibitors. Each of the described methods has its advantages and disadvantages and faces problems, such as the inefficient crossing of the blood-brain barrier, various neurological and systemic side effects, and the escape mechanism of the tumor. This work aims to present the current modern treatments of glioblastoma.

PMID:38891962 | DOI:10.3390/ijms25115774

Pharmacogenomics J. 2024 Jun 18;24(4):19. doi: 10.1038/s41397-024-00340-3.

ABSTRACT

Nimodipine, an L-type cerebroselective calcium channel antagonist, is the only drug approved by the US Food and Drug Administration for the neuroprotection of patients with aneurysmal subarachnoid hemorrhage (aSAH). Four randomized, placebo-controlled trials of nimodipine demonstrated clinical improvement over placebo; however, these occurred before precision medicine with pharmacogenomics was readily available. The standard enteral dose of nimodipine recommended after aSAH is 60 mg every 4 h. However, up to 78% of patients with aSAH develop systemic arterial hypotension after taking the drug at the recommended dose, which could theoretically limit its neuroprotective role and worsen cerebral perfusion pressure and cerebral blood flow, particularly when concomitant vasospasm is present. We investigated the association between nimodipine dose changes and clinical outcomes in a consecutive series of 150 patients (mean age, 56 years; 70.7% women) with acute aSAH. We describe the pharmacogenomic relationship of nimodipine dose reduction with clinical outcomes. These results have major implications for future individualized dosing of nimodipine in the era of precision medicine.

PMID:38890281 | DOI:10.1038/s41397-024-00340-3

JAMA Cardiol. 2024 Jun 18. doi: 10.1001/jamacardio.2024.1483. Online ahead of print.

ABSTRACT

IMPORTANCE: Vasospastic angina (VSA) is vasospasm of the coronary artery and is particularly prevalent in East Asian populations. However, the specific genetic architecture for VSA at genome-wide levels is not fully understood.

OBJECTIVE: To identify genetic factors associated with VSA.

DESIGN, SETTING, AND PARTICIPANTS: This was a case-control genome-wide association study of VSA. Data from Biobank Japan (BBJ; enrolled patients from 2002-2008 and 2013-2018) were used, and controls without coronary artery disease (CAD) were enrolled. Patients from the BBJ were genotyped using arrays or a set of arrays. Patients recruited between 2002 and 2005 were classified within the first dataset, and those recruited between 2006 and 2008 were classified within the second dataset. To replicate the genome-wide association study in the first and second datasets, VSA cases and control samples from the latest patients in the BBJ recruited between 2013 and 2018 were analyzed in a third dataset.

EXPOSURES: Single-nucleotide variants associated with VSA.

MAIN OUTCOMES AND MEASURES: Cases with VSA and controls without CAD.

RESULTS: A total of 5720 cases (mean [SD] age, 67 [10] years; 3672 male [64.2%]) and 153 864 controls (mean [SD] age, 62 [15] years; 77 362 male [50.3%]) in 3 datasets were included in this study. The variants at the RNF213 locus showed the strongest association with VSA across the 3 datasets (odds ratio [OR], 2.34; 95% CI, 1.99-2.74; P = 4.4 × 10-25). Additionally, rs112735431, an Asian-specific rare deleterious variant (p.Arg4810Lys) experimentally shown to be associated with reduced angiogenesis and a well-known causal risk for Moyamoya disease was the most promising candidate for a causal variant explaining the association. The effect size of rs112735431 on VSA was distinct from that of other CADs. Furthermore, homozygous carriers of rs112735431 showed an association with VSA characterized by a large effect estimate (OR, 18.34; 95% CI, 5.15-65.22; P = 7.0 × 10-6), deviating from the additive model (OR, 4.35; 95% CI, 1.18-16.05; P = .03). Stratified analyses revealed that rs112735431 exhibited a stronger association in males (χ21 = 7.24; P = .007) and a younger age group (OR, 3.06; 95% CI, 2.24-4.19), corresponding to the epidemiologic features of VSA. In the registry, carriers without CAD of the risk allele rs112735431 had a strikingly high mortality rate due to acute myocardial infarction during the follow-up period (hazard ratio, 2.71; 95% CI, 1.57-4.65; P = 3.3 × 10-4). As previously reported, a possible overlap between VSA and Moyamoya disease was not found.

CONCLUSIONS AND RELEVANCE: Results of this study suggest that vascular cell dysfunction mediated by variants in the RNF213 locus may promote coronary vasospasm, and the presence of the risk allele could serve as a predictive factor for the prognosis.

PMID:38888930 | DOI:10.1001/jamacardio.2024.1483

J Biopharm Stat. 2024 Jun 18:1-19. doi: 10.1080/10543406.2024.2365389. Online ahead of print.

ABSTRACT

Pharmaceutical researchers are continually searching for techniques to improve both drug development processes and patient outcomes. An area of recent interest is the potential for machine learning (ML) applications within pharmacology. One such application not yet given close study is the unsupervised clustering of plasma concentration-time curves, hereafter, pharmacokinetic (PK) curves. In this paper, we present our findings on how to cluster PK curves by their similarity. Specifically, we find clustering to be effective at identifying similar-shaped PK curves and informative for understanding patterns within each cluster of PK curves. Because PK curves are time series data objects, our approach utilizes the extensive body of research related to the clustering of time series data as a starting point. As such, we examine many dissimilarity measures between time series data objects to find those most suitable for PK curves. We identify Euclidean distance as generally most appropriate for clustering PK curves, and we further show that dynamic time warping, Fréchet, and structure-based measures of dissimilarity like correlation may produce unexpected results. As an illustration, we apply these methods in a case study with 250 PK curves used in a previous pharmacogenomic study. Our case study finds that an unsupervised ML clustering with Euclidean distance, without any subject genetic information, is able to independently validate the same conclusions as the reference pharmacogenomic results. To our knowledge, this is the first such demonstration. Further, the case study demonstrates how the clustering of PK curves may generate insights that could be difficult to perceive solely with population level summary statistics of PK metrics.

PMID:38888431 | DOI:10.1080/10543406.2024.2365389

J Am Geriatr Soc. 2024 Jun 18. doi: 10.1111/jgs.19036. Online ahead of print.

ABSTRACT

Precision medicine presents an opportunity to use novel, data-driven strategies to improve patient care. The field of precision medicine has undergone many advancements over the past few years. It has moved beyond incorporation of individualized genetic risk into medical decision-making to include multiple other factors such as unique social, demographic, behavioral, and clinical characteristics. Geriatric medicine stands to benefit heavily from the integration of precision medicine into its standard practices. Older adults, compared with other populations, have high clinical and biological heterogeneity that can alter the risks and benefits of different approaches to patient care. These factors have not been routinely considered previously by geriatricians. Yet, geriatricians' ability to address older adults' baseline heterogeneity is increasingly recognized as a cornerstone of delivering quality care in a geriatric medical practice. Given the shared focus of individualized decision-making, precision medicine is a natural fit for geriatric medicine. This manuscript provides, via cases and discussion, examples that illustrate how precision medicine can improve the care of our older patients today. We will share specific and existing tools and evidence, and review the existing multilevel barriers to further incorporate and implement these tools into clinical practice. We propose methods to address these barriers and to help realize the full potential of precision medicine for the care of older adults. We conclude with a brief discussion of potential future directions of research of precision medicine in the care of older adults.

PMID:38888213 | DOI:10.1111/jgs.19036

Pharmacogenomics. 2024 Jun 6:1-6. doi: 10.1080/14622416.2024.2355862. Online ahead of print.

ABSTRACT

Background: Previous differences in guideline recommendation strength for CYP2C19 intermediate metabolizers may have limited genotype (PGx)-optimal post-percutaneous coronary intervention antiplatelet prescribing. Results: In this single-center retrospective observational cohort study of CYP2C19 intermediate metabolizers, patients prescribed PGx-optimal therapy were younger and less likely on anticoagulation (2 vs 12%; p = 0.006). More patients prescribed PGx-optimal therapy possessed commercial insurance (36 vs 7%; p < 0.001), which was a predictor for PGx-optimal selection (OR: 6.464; 95% CI: 2.386-17.516; p < 0.001). Conclusion: Anticoagulation use was significantly associated with clopidogrel use (OR: 0.138; 95% CI: 0.026-0.730; p = 0.020). No statistical difference in composite major adverse cardiovascular events (5 vs 14%; p = 0.173) or bleeding (8 vs 6%; Not significant) was observed between PGx-optimal and PGx-suboptimal therapy.

PMID:38884958 | DOI:10.1080/14622416.2024.2355862

Pharmacogenomics. 2024 Jun 3:1-13. doi: 10.1080/14622416.2024.2355859. Online ahead of print.

ABSTRACT

BRAF gliomas have garnered significant attention in research due to the lack of effective treatments and their notable incidence, constituting 3% of all gliomas. This underlines the importance of investigating this area and the impact that targeted therapies could hold. This review discusses the development of targeted therapies for these tumors, examining the effectiveness of first-generation BRAF inhibitors such as Vemurafenib, Dabrafenib and Encorafenib, while addressing the challenges posed by paradoxical ERK activation. The advent of pan-RAF inhibitors, notably Tovorafenib, offers a promising advance, demonstrating enhanced efficacy and better penetration of the blood-brain barrier, without the issue of paradoxical activation. Nevertheless, continued research is essential to refine therapeutic strategies for BRAF-mutated gliomas, given the evolving nature of targeted therapy development.

PMID:38884947 | DOI:10.1080/14622416.2024.2355859

Pharmacogenomics. 2024 May 10:1-9. doi: 10.1080/14622416.2024.2344438. Online ahead of print.

ABSTRACT

Aim: To estimate the cost-effectiveness of zolbetuximab plus capecitabine/oxaliplatin (CAPOX) in CLDN18.2-positive, HER2-negative, mG/GEJ adenocarcinoma from the perspective of Chinese payers. Materials & methods: A partitioned survival model was developed to assess the costs, quality-adjusted life years (QALYs) and incremental cost-effectiveness ratios (ICER) of zolbetuximab plus CAPOX versus placebo plus CAPOX. Sensitivity analyses were performed to test the robustness of model. Results: Zolbetuximab plus CAPOX gained an additional cost of $91,551 and an extra health benefit of 0.24 QALY over placebo plus CAPOX, producing an ICER of $388,186/QALY, which exceeded the willingness-to-pay threshold of $38,223/QALY. Sensitivity analysis shows that the model was generally robust. Conclusion: Zolbetuximab plus CAPOX would not be a cost-effective first-line treatment regimen in CLDN18.2-positive, HER2-negative, mG/GEJ adenocarcinoma in China.

PMID:38884946 | DOI:10.1080/14622416.2024.2344438

Pharmacogenomics. 2024 May 22:1-11. doi: 10.1080/14622416.2024.2344429. Online ahead of print.

ABSTRACT

Aim: This study aimed to investigate the role of brain-derived neurotrophic factor (BDNF) in colon adenocarcinoma, specifically its impact on sensitivity to carboplatin. Methods: mRNA and clinical information of colon adenocarcinoma samples were obtained from TCGA database. Differential expression analysis, transcription factor prediction, gene set enrichment analysis were performed in silico. qRT-PCR, western blot, CCK-8 and CHIP assay were employed. Results: BDNF demonstrated high expression in colon adenocarcinoma. Silencing of BDNF enhanced carboplatin sensitivity, while exerting opposite effects on epithelial-mesenchymal transition (EMT). BDNF was enriched in Hedgehog (HH) signaling pathway. SALL4 was identified as an upstream regulator of BDNF. Upregulation of BDNF by SALL4 promoted EMT and inhibited carboplatin sensitivity. Conclusion: SALL4 promoted BDNF expression to facilitate the aggressive phenotypes of colon adenocarcinoma.

PMID:38884945 | DOI:10.1080/14622416.2024.2344429

Pharmacogenomics. 2024 May 30:1-16. doi: 10.1080/14622416.2024.2355864. Online ahead of print.

ABSTRACT

Aim: The study aims to identify high-impact single nucleotide polymorphisms (SNPs) in miRNA target sites of genes associated with lung cancer. Materials & methods: Lung cancer genes were obtained from Uniprot KB. miRNA target site SNPs were mined from MirSNP, miRdSNP and TargetScan. SNPs were shortlisted based on binding impact, minor allele frequency and conservation. Gene expression was analyzed in genes with high-impact SNPs in healthy versus lung cancer tissue. Additionally, enrichment, pathway and network analyzes were performed. Results: 19 high-impact SNPs were identified in miRNA target sites of lung cancer-associated genes. These SNPs affect miRNA binding and gene expression. The genes are involved in key cancer related pathways. Conclusion: The identified high-impact miRNA target site SNPs and associated genes provide a starting point for case-control studies in lung cancer patients in different populations.

PMID:38884942 | DOI:10.1080/14622416.2024.2355864

Pharmacogenomics. 2024 May 15:1-13. doi: 10.1080/14622416.2024.2346072. Online ahead of print.

ABSTRACT

Aim: We herein inferred the genetic diversity of CYP450 isoenzymes to predict the percentage of patients who need dose adjustment in drugs used in psychiatry. Materials & methods: Data of 784 Greek patients receiving psychiatric care who were genotyped for CYP2D6, CYP2C19, CYP1A2, CYP3A5 and CYP2C9 isoenzymes were inferred to gene-drug pairs according to the US FDA, Clinical Pharmacogenetics Implementation Consortium and Dutch Pharmacogenetics Working Group annotations and published literature. Results: Atypical metabolism was found for 36.8% of patients in CYP2D6, 49.2% in CYP2C19, 45% in CYP1A2, 16.7% in CYP3A5 and 41.8% in CYP2C9. Dosage adjustment need was estimated for 10.2% of venlafaxine, 10.0% of paroxetine, 6.4% of sertraline, 30.8% of citalopram, 52.1% of escitalopram, 18.2% of fluvoxamine, 54.1% of tricyclic antidepressants, 16.7% of zuclopenthixol, 10.6% of haloperidol and 13.3% of risperidone treated patients. Conclusion: Clinical psychiatric pharmacogenomic implementation holds promise to improve drug effectiveness and safety.

PMID:38884939 | DOI:10.1080/14622416.2024.2346072

Pharmacogenomics. 2024 May 17:1-30. doi: 10.1080/14622416.2024.2344430. Online ahead of print.

ABSTRACT

This scoping review explores the impact of genetic polymorphisms on the pharmacokinetics and treatment responses of mycophenolic acid (MPA), an immunosuppressant. The study includes 83 articles from 1226 original studies, focusing on transplantation (n = 80) and autoimmune disorders (n = 3). Genetic variants in uridine 5'-diphospho-glucuronosyltransferase (UGT1A9, UGT1A8 and UGT2B7) and transmembrane transporters (ABCC2, SLCO1B1, SLCO1B3 and ABCB1) significantly affected MPA's pharmacokinetics and susceptibility to its adverse effect. Whereas variants in several genes including UGT1A9, UGT2B7, IMPDH1 and IMPDH2 have been associated with a higher risk of transplant rejection. However, there is a lack of studies on MPA's impact on autoimmune disorders and limited research on the Asian population. The findings underscore the need for further research on MPA's impact across different populations and diseases, particularly among other Asian ethnic groups, to advance personalized medicine in MPA therapy.

PMID:38884938 | DOI:10.1080/14622416.2024.2344430

Pharmacogenomics. 2024 May 10:1-19. doi: 10.1080/14622416.2024.2346069. Online ahead of print.

ABSTRACT

Aim: The association between cytochrome P450 (CYP) gene polymorphisms and anti-tuberculosis drug-induced hepatotoxicity (ATDH) was investigated in patients with or without pre-existing liver diseases (PLD). Materials & methods: We followed 164 tuberculosis subjects, 58 with PLD and 106 without PLD. Polymorphisms in CYP2D6, CYP2C9, CYP2C19, CYP3A4 and CYP3A5 were analyzed using the TaqMan® SNP genotyping assay. Results: The CYP3A4*18 heterozygous genotype was associated with ATDH (OR: 3.24, 95% CI: 1.06-9.86) regardless of PLD presence. Among subjects without PLD, CYP3A4*18 heterozygotes had significantly higher ATDH risk (OR: 9.10, 95% CI: 1.56-53.16). Conversely, in the PLD group, CYP3A4*18 heterozygotes had lower ATDH risk (OR: 0.21, 95% CI: 0.05-0.98). Conclusion: CYP3A4*18 genotype is linked to ATDH in tuberculosis patients, with differential effects based on PLD presence.

PMID:38884784 | DOI:10.1080/14622416.2024.2346069

Pol Arch Intern Med. 2024 Jun 10:16772. doi: 10.20452/pamw.16772. Online ahead of print.

ABSTRACT

Laboratory tests play a central role in medicine, as they help to make diagnoses, assess prognosis, risk of disease, and monitor therapies, thus contributing to 70% of all medical decisions. This cross-sectional function offers great potential for technological and organizational innovation to influence healthcare as a whole. In recent years, a variety of technologies have emerged and entered the field of medical research, or even medical care. A new generation of biosensors allows the determination of laboratory tests at the point-of-care and enables faster medical decisions. Recent devices allow for patient-centric blood sampling, which eliminates the need for painful blood draws, patient traveling, and the workload of healthcare professionals. Analytical techniques such as metabolomics, lipidomics or proteomics can identify biomarkers extremely sensitively, even down to individual cells. Pharmacogenomics allows the determination of genetic polymorphisms that predict the response to chemotherapeutic agents. Machine-learning approaches can handle large amounts of multi-layered data for diagnostic applications. However, this enormous diagnostic potential is far from being utilized and only very few applications have been implemented in clinical practice. Why is this the case? In this article, we describe the key technology fields, discuss their medical potential and obstacles to their implementation. In addition, we present a methodological framework to support researchers, clinicians and authorities in the development and implementation of novel diagnostic approaches.

PMID:38884596 | DOI:10.20452/pamw.16772