Pasquale Paribello, Mirko Manchia, Marco Pinna, Martina Contu, Davide Orrù, Marco Upali, Sabrina El Kacemi, Ilaria Frau, Federico Suprani, Carolina Corrias, Giulia Somaini, Federica Pinna, Claudia Pisanu, Anna Meloni, Andrea Carta, Claudio Conversano, Francesco Mola, Maria Del Zompo, Lisa Buson, Massimo Gennarelli, Alessandra Minelli, Bernardo Carpiniello, Alessio Squassina
{"title":"药效学基因与重度抑郁症治疗结果的关联:来自撒丁岛队列的结果。","authors":"Pasquale Paribello, Mirko Manchia, Marco Pinna, Martina Contu, Davide Orrù, Marco Upali, Sabrina El Kacemi, Ilaria Frau, Federico Suprani, Carolina Corrias, Giulia Somaini, Federica Pinna, Claudia Pisanu, Anna Meloni, Andrea Carta, Claudio Conversano, Francesco Mola, Maria Del Zompo, Lisa Buson, Massimo Gennarelli, Alessandra Minelli, Bernardo Carpiniello, Alessio Squassina","doi":"10.1038/s41397-025-00373-2","DOIUrl":null,"url":null,"abstract":"<p><p>We examined the association of selected candidate pharmacodynamic (PD) genes in MDD with treatment outcomes, defined according to remission thresholds for Hamilton Depression Rating Scale (HDRS) with 6- and 17- items. To this end, we recruited 158 individuals living with MDD followed in an academic community mental health center. We reconstructed their clinical history and tested the association of a selected panel of pharmacodynamic genes with clinical remission. Our multivariate models were corrected for illness duration, substance use, lifetime stressful events, and sex. We found partially concordant associations for candidate biomarkers and clinical remission defined with HDRS-6 and HDRS-17. In the logistic regression model, two polymorphisms were statistically significantly associated with HDRS-17 remission: namely rs10975641 and rs11628713. Our results suggest that polymorphisms in PD genes might influence clinical response in MDD. Interestingly, we showed some degree of concordance of the association depending on the definition of the response.</p>","PeriodicalId":54624,"journal":{"name":"Pharmacogenomics Journal","volume":"25 3","pages":"10"},"PeriodicalIF":2.9000,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Association of pharmacodynamic genes with treatment outcomes in major depressive disorder: results from a Sardinian cohort.\",\"authors\":\"Pasquale Paribello, Mirko Manchia, Marco Pinna, Martina Contu, Davide Orrù, Marco Upali, Sabrina El Kacemi, Ilaria Frau, Federico Suprani, Carolina Corrias, Giulia Somaini, Federica Pinna, Claudia Pisanu, Anna Meloni, Andrea Carta, Claudio Conversano, Francesco Mola, Maria Del Zompo, Lisa Buson, Massimo Gennarelli, Alessandra Minelli, Bernardo Carpiniello, Alessio Squassina\",\"doi\":\"10.1038/s41397-025-00373-2\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>We examined the association of selected candidate pharmacodynamic (PD) genes in MDD with treatment outcomes, defined according to remission thresholds for Hamilton Depression Rating Scale (HDRS) with 6- and 17- items. To this end, we recruited 158 individuals living with MDD followed in an academic community mental health center. We reconstructed their clinical history and tested the association of a selected panel of pharmacodynamic genes with clinical remission. Our multivariate models were corrected for illness duration, substance use, lifetime stressful events, and sex. We found partially concordant associations for candidate biomarkers and clinical remission defined with HDRS-6 and HDRS-17. In the logistic regression model, two polymorphisms were statistically significantly associated with HDRS-17 remission: namely rs10975641 and rs11628713. Our results suggest that polymorphisms in PD genes might influence clinical response in MDD. Interestingly, we showed some degree of concordance of the association depending on the definition of the response.</p>\",\"PeriodicalId\":54624,\"journal\":{\"name\":\"Pharmacogenomics Journal\",\"volume\":\"25 3\",\"pages\":\"10\"},\"PeriodicalIF\":2.9000,\"publicationDate\":\"2025-04-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Pharmacogenomics Journal\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1038/s41397-025-00373-2\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"GENETICS & HEREDITY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Pharmacogenomics Journal","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1038/s41397-025-00373-2","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"GENETICS & HEREDITY","Score":null,"Total":0}
Association of pharmacodynamic genes with treatment outcomes in major depressive disorder: results from a Sardinian cohort.
We examined the association of selected candidate pharmacodynamic (PD) genes in MDD with treatment outcomes, defined according to remission thresholds for Hamilton Depression Rating Scale (HDRS) with 6- and 17- items. To this end, we recruited 158 individuals living with MDD followed in an academic community mental health center. We reconstructed their clinical history and tested the association of a selected panel of pharmacodynamic genes with clinical remission. Our multivariate models were corrected for illness duration, substance use, lifetime stressful events, and sex. We found partially concordant associations for candidate biomarkers and clinical remission defined with HDRS-6 and HDRS-17. In the logistic regression model, two polymorphisms were statistically significantly associated with HDRS-17 remission: namely rs10975641 and rs11628713. Our results suggest that polymorphisms in PD genes might influence clinical response in MDD. Interestingly, we showed some degree of concordance of the association depending on the definition of the response.
期刊介绍:
The Pharmacogenomics Journal is a print and electronic journal, which is dedicated to the rapid publication of original research on pharmacogenomics and its clinical applications.
Key areas of coverage include:
Personalized medicine
Effects of genetic variability on drug toxicity and efficacy
Identification and functional characterization of polymorphisms relevant to drug action
Pharmacodynamic and pharmacokinetic variations and drug efficacy
Integration of new developments in the genome project and proteomics into clinical medicine, pharmacology, and therapeutics
Clinical applications of genomic science
Identification of novel genomic targets for drug development
Potential benefits of pharmacogenomics.