{"title":"Impact of genetic variants on fentanyl metabolism in major breast surgery patients: a candidate gene association study.","authors":"Shathish Kumar, Kesavan Ramasamy, Harivenkatesh Natarajan, Shravan Venkatraman, Vishnu Eriyat, Pankaj Kundra","doi":"10.1080/14622416.2024.2429365","DOIUrl":"https://doi.org/10.1080/14622416.2024.2429365","url":null,"abstract":"<p><strong>Aim: </strong>The study aimed to examine the association of two selected candidate SNPs rs2242480 (CYP3A4) and rs1045642 (ABCB1) with metabolic ratio of plasma norfentanyl to fentanyl concentrations in patients undergoing major breast surgeries.</p><p><strong>Methods: </strong>The retrospective cross-sectional study was done in 257 female patients. DNA extraction, genotyping of selected SNPs, and drug levels measurement were employed.</p><p><strong>Results: </strong>A total of 257 female patients were recruited with no loss to follow up. There was no significant association between the two mentioned SNPs and the metabolic ratio (<i>p</i> value > 0.05). As an exploratory analysis, there was a moderately significant negative correlation between metabolic ratio and pupillary constriction to fentanyl (<i>r</i> = -0.27; <i>p</i> < 0.001). There was also a weak but significant positive correlation between metabolic ratio and time for first analgesia in the postoperative period (<i>r</i> = 0.17; <i>p</i> = 0.01).</p><p><strong>Conclusion: </strong>There was no significant association with the selected candidate SNPs in <i>CYP3A4</i> and <i>ABCB1 genes</i> and metabolic ratio of norfentanyl to fentanyl in South Indian patients undergoing major breast surgery.</p>","PeriodicalId":20018,"journal":{"name":"Pharmacogenomics","volume":" ","pages":"1-9"},"PeriodicalIF":1.9,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142676502","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
PharmacogenomicsPub Date : 2024-11-20DOI: 10.1080/14622416.2024.2429946
Esther Camilo Dos Reis, Santiago Caneppa, Pedro Vasconcelos, Paulo Caleb Júnior de Lima Santos
{"title":"Advancing pharmacogenomics research: automated extraction of insights from PubMed using SpaCy NLP framework.","authors":"Esther Camilo Dos Reis, Santiago Caneppa, Pedro Vasconcelos, Paulo Caleb Júnior de Lima Santos","doi":"10.1080/14622416.2024.2429946","DOIUrl":"https://doi.org/10.1080/14622416.2024.2429946","url":null,"abstract":"<p><p>This paper presents a methodology for automatically extracting insights from PubMed articles using a Natural Language Processing (NLP) framework. Our approach, leveraging advanced NLP techniques and Named Entity Recognition (NER), is crucial for advancing pharmacogenomics and other scientific fields that benefit from streamlined access to literature through automated services like RESTful APIs.Building a new NLP model presents several challenges. First, it is essential to have a thorough understanding of the field in order to define relevant entities. Second, the construction of a diverse and consistent set of examples is crucial. Finally, the effective utilization of pre-established models is of paramount importance, as demonstrated in this work.Our model, validated via ten-fold cross-validation, achieved over 70% recall and precision for all entities in the training set. We provide a reproducible pipeline for the scientific community and propose a structured approach for qualitative analysis and clustering of results. This methodology refines literature reviews, optimizes knowledge extraction, and supports broader application across diverse research domains. An online platform could further extend these benefits to researchers, educators, and practitioners.</p>","PeriodicalId":20018,"journal":{"name":"Pharmacogenomics","volume":" ","pages":"1-6"},"PeriodicalIF":1.9,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142676498","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"PPARA variant rs1800234 had a dose dependent pharmacogenetics impact on the therapeutic response to chiglitazar.","authors":"Zhaoxu Geng, Yuanting Zheng, Qian Li, Desi Pan, Xianping Lu, Fei Chen, Ying Zhang, Keying Li, Kaixin Zhou, Leming Shi, You Wang","doi":"10.1080/14622416.2024.2430163","DOIUrl":"10.1080/14622416.2024.2430163","url":null,"abstract":"<p><strong>Background: </strong>Our objective was to explore the pharmacogenetic impact of three known functional variants in drug target genes and determine whether they can explain the inter-individual variation in therapeutic response.</p><p><strong>Methods: </strong>In a post hoc analysis of data from randomized controlled clinical trials of chiglitazar, we genotyped 481 Chinese patients with T2DM and investigated the association of variants in PPAR genes with the therapeutic outcome separated by dose using linear regression.</p><p><strong>Results: </strong>rs1800234, a gain-of-function variant of PPARA, had a dose-dependent pharmacogenetic impact on the therapeutic response to chiglitazar. The C allele was significantly associated with reduced therapeutic response in the 48 mg group, while no significant association was observed in the 32 mg group. In addition, in patients without the C allele, patients treated with 48 mg chiglitazar had a better therapeutic response than those treated with 32 mg chiglitazar. To the contrary, in patients with the C allele, patients treated with 48 mg chiglitazar had a worse therapeutic response than those treated with 32 mg of chiglitazar.</p><p><strong>Conclusion: </strong>The PPARA variant rs1800234 had a dose-dependent pharmacogenetic impact on the therapeutic response to chiglitazar. It could help explain the absence of a dose effect of chiglitazar and serve as a potential biomarker for the chosen dose of chiglitazar in the future. In addition, our study provided important reference for the design and clinical application of multi-target drugs.</p>","PeriodicalId":20018,"journal":{"name":"Pharmacogenomics","volume":" ","pages":"1-6"},"PeriodicalIF":1.9,"publicationDate":"2024-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142648965","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
PharmacogenomicsPub Date : 2024-11-18DOI: 10.1080/14622416.2024.2430167
Qiaoli Zheng, Na Jin, Hao Cheng
{"title":"Hydroxychloroquine-induced acute generalized exanthematous pustulosis with HLA-typing.","authors":"Qiaoli Zheng, Na Jin, Hao Cheng","doi":"10.1080/14622416.2024.2430167","DOIUrl":"10.1080/14622416.2024.2430167","url":null,"abstract":"<p><p>Acute generalized exanthematous pustulosis (AGEP) is a rare drug reaction characterized by numerous pustules on an erythematous base. In some cases, hydroxychloroquine (HCQ) can cause AGEP. There is an association between HLA genes and AGEP according to pharmacogenomic studies. In this case report, we present the case of a 36-year-old female who developed HCQ-induced AGEP with HLA-typing. According to our findings, the patient had HLA-B 58:01, HLA-C 08:01, and HLA-A 02:06. A pharmacoeconomic perspective of HLA genotyping before drug prescription is shown in this result.</p>","PeriodicalId":20018,"journal":{"name":"Pharmacogenomics","volume":" ","pages":"1-4"},"PeriodicalIF":1.9,"publicationDate":"2024-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142668659","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
PharmacogenomicsPub Date : 2024-11-15DOI: 10.1080/14622416.2024.2428587
Susanne B Haga
{"title":"Artificial intelligence, medications, pharmacogenomics, and ethics.","authors":"Susanne B Haga","doi":"10.1080/14622416.2024.2428587","DOIUrl":"https://doi.org/10.1080/14622416.2024.2428587","url":null,"abstract":"<p><p>Artificial Intelligence (AI) and Machine Learning (ML) are revolutionizing various scientific and clinical disciplines including pharmacogenomics (PGx) by enabling the analysis of complex datasets and the development of predictive models. The integration of AI and ML with PGx has the potential to provide more precise, data-driven insights into new drug targets, drug efficacy, drug selection, and risk of adverse events. While significant effort to develop and validate these tools remain, ongoing advancements in AI technologies, coupled with improvements in data quality and depth is anticipated to drive the transition of these tools into clinical practice and delivery of individualized treatments and improved patient outcomes. The successful development and integration of AI-assisted PGx tools will require careful consideration of ethical, legal, and social issues (ELSI) in research and clinical practice. This paper explores the intersection of PGx with AI, highlighting current research and potential clinical applications, and ELSI including privacy, oversight, patient and provider knowledge and acceptance, and the impact on patient-provider relationship and new roles.</p>","PeriodicalId":20018,"journal":{"name":"Pharmacogenomics","volume":" ","pages":"1-12"},"PeriodicalIF":1.9,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142639446","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
PharmacogenomicsPub Date : 2024-11-15DOI: 10.1080/14622416.2024.2428585
Glenda Hoffecker, Karl Keat, Lakeisha Mulugeta-Gordon, Marjorie Risman, Shefali S Verma, Mary Deagostino-Kelly, Sony Tuteja
{"title":"Estimated clinical utility of multi-gene pharmacogenetic testing in a retrospective cohort of gynecology patients.","authors":"Glenda Hoffecker, Karl Keat, Lakeisha Mulugeta-Gordon, Marjorie Risman, Shefali S Verma, Mary Deagostino-Kelly, Sony Tuteja","doi":"10.1080/14622416.2024.2428585","DOIUrl":"https://doi.org/10.1080/14622416.2024.2428585","url":null,"abstract":"<p><strong>Objective: </strong>This study aimed to estimate the clinical utility of performing multi-gene pharmacogenetic testing on patients undergoing gynecologic surgery/procedure by evaluating the prescribing rate of Clinical Pharmacogenetics Implementation Consortium (CPIC) level A medications and frequency of drug-gene interactions (DGIs).</p><p><strong>Methods: </strong>The electronic health record was queried for 76 current procedural terminology codes to identify gynecologic surgeries/procedures that occurred between 1 January 2015 to 31 December 2020 in patients with at least one of 152 international classification of disease codes. Prescription data for CPIC level A medications was extracted. Those enrolled in the Penn Medicine Biobank were assessed for DGIs.</p><p><strong>Results: </strong>The cohort consisted of 7798 female patients and 682 were in the biobank. Up to 6 years following their surgery or procedure, 80% were ordered ≥1 CPIC level A medication. Over half (54%) of these medications were ordered within 3 days after their surgery or procedure. The most common CPIC level A medications ordered were ibuprofen (57%) and ondansetron (42%). Overall, 7% of the cohort had ≥1 known or predicted DGI with medications they were prescribed.</p><p><strong>Conclusion: </strong>Multi-gene pharmacogenetic testing may be beneficial to gynecologic surgery/procedure patients by assisting clinicians with prescribing postoperative analgesics and future medications.</p>","PeriodicalId":20018,"journal":{"name":"Pharmacogenomics","volume":" ","pages":"1-8"},"PeriodicalIF":1.9,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142639447","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Impact of <i>CYP2D6</i> and <i>ADRB1</i> polymorphisms on heart rate of post-PCI patients treated with metoprolol.","authors":"Xiaofeng Gao, Huan Wang, Hui Chen","doi":"10.2217/pgs-2017-0203","DOIUrl":"10.2217/pgs-2017-0203","url":null,"abstract":"<p><p><b>Aim:</b> To explore the effect of <i>CYP2D6*10</i> (100C > T) and <i>ADRB1</i> 1165 G > C polymorphisms on heart rate of post-PCI (percutaneous coronary intervention) patients treated with metoprolol succinate sustained-release tablets. <b>Methods:</b> A total of 756 inpatients with metoprolol succinate sustained-release tablets were selected and the genotypes of <i>CYP2D6*10</i> and <i>ADRB1</i> 1165G > C were detected in 319 patients using gene chip detection. The target heart rate was defined as a resting heart rate < 70 beats/min. Clinical data were collected. <b>Results:</b> A total of 319 inpatients were enrolled in the study. The mutant allele frequencies of <i>CYP2D6</i> and <i>ADRB1</i> were 57.21 and 69.44%, respectively. Whatever the dose of metoprolol, the heart rates were lower in patients with homozygous mutation of <i>CYP2D6</i> than those with heterozygous mutation and wild-type (p < 0.05). Nevertheless, this effect was not seen between different genotypes of <i>ADRB1</i>. Logistic regression analysis showed that the dose of metoprolol and the genotypes of <i>CYP2D6</i> were predictors of heart rate <70 beats/min in these patients. Further multivariate analysis indicated that patients with homozygous mutation had better control of heart rates compared with those with wild-type and heterozygous mutation of <i>CYP2D6*10</i> genotypes (all: p < 0.001). <b>Conclusion:</b><i>CYP2D6*10</i> polymorphisms were associated with the heart rate of post-PCI patients treated with metoprolol succinate sustained-release tablets.</p>","PeriodicalId":20018,"journal":{"name":"Pharmacogenomics","volume":" ","pages":"1-9"},"PeriodicalIF":2.1,"publicationDate":"2024-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"35515184","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
PharmacogenomicsPub Date : 2024-03-01Epub Date: 2024-03-20DOI: 10.2217/pgs-2024-0009
Guilherme Suarez-Kurtz, Claudio José Struchiner
{"title":"Pharmacogenomic implications of the differential distribution of CYP3A5 metabolic phenotypes among Latin American populations.","authors":"Guilherme Suarez-Kurtz, Claudio José Struchiner","doi":"10.2217/pgs-2024-0009","DOIUrl":"10.2217/pgs-2024-0009","url":null,"abstract":"<p><p>This study shows that the distribution of <i>CYP3A5</i> alleles (<i>*1</i>, <i>*3</i>, <i>*6</i> and <i>*7</i>) and genotype-predicted CYP3A5 phenotypes vary significantly across Latin American cohorts (Brazilians and the One Thousand Genomes Admixed American superpopulation), as well as among subcohorts comprising individuals with the highest proportions of Native, European or sub-Saharan African ancestry. Differences in biogeographical ancestry across the study groups are the likely explanation for these results. The differential distribution of CYP3A5 phenotypes has major pharmacogenomic implications, affecting the proportion of individuals carrying high risk CYP3A5 phenotypes for the immunosuppressant tacrolimus and the number of patients that would need to be genotyped to prevent acute rejection in kidney transplant recipients under tacrolimus treatment.</p>","PeriodicalId":20018,"journal":{"name":"Pharmacogenomics","volume":" ","pages":"187-195"},"PeriodicalIF":2.1,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140175958","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
PharmacogenomicsPub Date : 2024-03-01Epub Date: 2024-03-20DOI: 10.2217/pgs-2024-0013
Abdullah Al Maruf, Meagan Shields, Amber Fryza, Amanda Wondrasek, Christine Leong, Kaarina Kowalec, Chad Bousman
{"title":"Knowledge and perceptions of pharmacogenomics among pharmacists in Manitoba, Canada.","authors":"Abdullah Al Maruf, Meagan Shields, Amber Fryza, Amanda Wondrasek, Christine Leong, Kaarina Kowalec, Chad Bousman","doi":"10.2217/pgs-2024-0013","DOIUrl":"10.2217/pgs-2024-0013","url":null,"abstract":"<p><p><b>Objective:</b> This work was designed to describe the knowledge and perceptions of pharmacogenomics (PGx) among pharmacists in the Canadian province of Manitoba. <b>Methods:</b> A 40-item, web-based survey was distributed to pharmacists in Manitoba. <b>Results:</b> Of 74 participants, one third had some education or training in PGx, and 12.2% had used PGx test results in their practice. Participants' self-rated knowledge of PGx testing and common PGx resources (e.g., Pharmacogenomics Knowledge Base, Clinical Pharmacogenetics Implementation Consortium) was low. Most pharmacists surveyed believe that PGx can improve medication efficacy (82.4%) or prevent adverse drug reactions (81.1%). Most (91%) desired more education on PGx. <b>Conclusion:</b> Manitoba pharmacists reported positive perceptions toward PGx. However, they are currently underprepared to implement PGx into practice.</p>","PeriodicalId":20018,"journal":{"name":"Pharmacogenomics","volume":" ","pages":"175-186"},"PeriodicalIF":2.1,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140175957","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
PharmacogenomicsPub Date : 2024-03-01Epub Date: 2024-03-21DOI: 10.2217/pgs-2023-0243
Danyi Wang, Jayaprakasam Bolleddula, Anna Coenen-Stass, Thomas Grombacher, Jennifer Q Dong, Juergen Scheuenpflug, Giuseppe Locatelli, Zheng Feng
{"title":"Implementation of whole-exome sequencing for pharmacogenomics profiling and exploring its potential clinical utilities.","authors":"Danyi Wang, Jayaprakasam Bolleddula, Anna Coenen-Stass, Thomas Grombacher, Jennifer Q Dong, Juergen Scheuenpflug, Giuseppe Locatelli, Zheng Feng","doi":"10.2217/pgs-2023-0243","DOIUrl":"10.2217/pgs-2023-0243","url":null,"abstract":"<p><p>Whole-exome sequencing (WES) is widely used in clinical settings; however, the exploration of its use in pharmacogenomic analysis remains limited. Our study compared the variant callings for 28 core absorption, distribution, metabolism and elimination genes by WES and array-based technology using clinical trials samples. The results revealed that WES had a positive predictive value of 0.71-0.92 and a sensitivity of single-nucleotide variants between 0.68 and 0.95, compared with array-based technology, for the variants in the commonly targeted regions of the WES and PhamacoScan™ assay. Besides the common variants detected by both assays, WES identified 200-300 exclusive variants per sample, totalling 55 annotated exclusive variants, including important modulators of metabolism such as rs2032582 (<i>ABCB1</i>) and rs72547527 (<i>SULT1A1</i>). This study highlights the potential clinical advantages of using WES to identify a wider range of genetic variations and enabling precision medicine.</p>","PeriodicalId":20018,"journal":{"name":"Pharmacogenomics","volume":" ","pages":"197-206"},"PeriodicalIF":2.1,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140175956","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}