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Lin C, Zhang S, Yang P, Zhang B, Guo W, Wu R, Liu Y, Wang J, Wu H, Cai H. Combination of UGT1A1 polymorphism and baseline plasma bilirubin levels in predicting the risk of antipsychotic-induced dyslipidemia in schizophrenia patients. SCHIZOPHRENIA (HEIDELBERG, GERMANY) 2024; 10:52. [PMID: 38760414 PMCID: PMC11101411 DOI: 10.1038/s41537-024-00473-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Accepted: 05/04/2024] [Indexed: 05/19/2024]
Abstract
The prolonged usage of atypical antipsychotic drugs (AAPD) among individuals with schizophrenia often leads to metabolic side effects such as dyslipidemia. These effects not only limit one's selection of AAPD but also significantly reduce compliance and quality of life of patients. Recent studies suggest that bilirubin plays a crucial role in maintaining lipid homeostasis and may be a potential pre-treatment biomarker for individuals with dyslipidemia. The present study included 644 schizophrenia patients from two centers. Demographic and clinical characteristics were collected at baseline and 4 weeks after admission to investigate the correlation between metabolites, episodes, usage of AAPDs, and occurrence of dyslipidemia. Besides, we explored the combined predictive value of genotypes and baseline bilirubin for dyslipidemia by employing multiple PCR targeted capture techniques to sequence two pathways: bilirubin metabolism-related genes and lipid metabolism-related genes. Our results indicated that there existed a negative correlation between the changes in bilirubin levels and triglyceride (TG) levels in patients with schizophrenia. Among three types of bilirubin, direct bilirubin in the baseline (DBIL-bl) proved to be the most effective in predicting dyslipidemia in the ROC analysis (AUC = 0.627, p < 0.001). Furthermore, the odds ratio from multinomial logistic regression analysis showed that UGT1A1*6 was a protective factor for dyslipidemia (ß = -12.868, p < 0.001). The combination of baseline DBIL and UGT1A1*6 significantly improved the performance in predicting dyslipidemia (AUC = 0.939, p < 0.001). Schizophrenia patients with UGT1A1*6 mutation and a certain level of baseline bilirubin may be more resistant to dyslipidemia and have more selections for AAPD than other patients.
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Affiliation(s)
- Chenquan Lin
- Department of Pharmacy, The Second Xiangya Hospital of Central South University, Changsha, China
- Institute of Clinical Pharmacy, Central South University, Changsha, China
| | - Shuangyang Zhang
- Department of Pharmacy, The Second Xiangya Hospital of Central South University, Changsha, China
- Institute of Clinical Pharmacy, Central South University, Changsha, China
| | - Ping Yang
- Department of Psychiatry, Hunan Brain Hospital, Changsha, China
| | - Bikui Zhang
- Department of Pharmacy, The Second Xiangya Hospital of Central South University, Changsha, China
- Institute of Clinical Pharmacy, Central South University, Changsha, China
- International Research Center for Precision Medicine, Transformative Technology and Software Services, Hunan, China
| | - Wenbin Guo
- Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, China
- National Clinical Research Center on Mental Disorders, Changsha, China
| | - Renrong Wu
- Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, China
- National Clinical Research Center on Mental Disorders, Changsha, China
| | - Yong Liu
- Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, China
- National Clinical Research Center on Mental Disorders, Changsha, China
| | - Jianjian Wang
- Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, China
- National Clinical Research Center on Mental Disorders, Changsha, China
| | - Haishan Wu
- Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, China
- National Clinical Research Center on Mental Disorders, Changsha, China
| | - Hualin Cai
- Department of Pharmacy, The Second Xiangya Hospital of Central South University, Changsha, China.
- Institute of Clinical Pharmacy, Central South University, Changsha, China.
- International Research Center for Precision Medicine, Transformative Technology and Software Services, Hunan, China.
- National Clinical Research Center on Mental Disorders, Changsha, China.
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Shilbayeh SAR, Adeen IS, Ghanem EH, Aljurayb H, Aldilaijan KE, AlDosari F, Fadda A. Exploratory focused pharmacogenetic testing reveals novel markers associated with risperidone pharmacokinetics in Saudi children with autism. Front Pharmacol 2024; 15:1356763. [PMID: 38375040 PMCID: PMC10875102 DOI: 10.3389/fphar.2024.1356763] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2023] [Accepted: 01/24/2024] [Indexed: 02/21/2024] Open
Abstract
Background: Autism spectrum disorders (ASDs) encompass a broad range of phenotypes characterized by diverse neurological alterations. Genomic studies have revealed considerable overlap between the molecular mechanisms implicated in the etiology of ASD and genes involved in the pharmacokinetic (PK) and pharmacodynamic (PD) pathways of antipsychotic drugs employed in ASD management. Given the conflicting data originating from candidate PK or PD gene association studies in diverse ethnogeographic ASD populations, dosage individualization based on "actionable" pharmacogenetic (PGx) markers has limited application in clinical practice. Additionally, off-label use of different antipsychotics is an ongoing practice, which is justified given the shortage of approved cures, despite the lack of satisfactory evidence for its safety according to precision medicine. This exploratory study aimed to identify PGx markers predictive of risperidone (RIS) exposure in autistic Saudi children. Methods: This prospective cohort study enrolled 89 Saudi children with ASD treated with RIS-based antipsychotic therapy. Plasma levels of RIS and 9-OH-RIS were measured using a liquid chromatography-tandem mass spectrometry system. To enable focused exploratory testing, genotyping was performed with the Axiom PharmacoFocus Array, which included a collection of probe sets targeting PK/PD genes. A total of 720 PGx markers were included in the association analysis. Results: A total of 27 PGx variants were found to have a prominent impact on various RIS PK parameters; most were not located within the genes involved in the classical RIS PK pathway. Specifically, 8 markers in 7 genes were identified as the PGx markers with the strongest impact on RIS levels (p < 0.01). Four PGx variants in 3 genes were strongly associated with 9-OH-RIS levels, while 5 markers in 5 different genes explained the interindividual variability in the total active moiety. Notably, 6 CYP2D6 variants exhibited strong linkage disequilibrium; however, they significantly influenced only the metabolic ratio and had no considerable effects on the individual estimates of RIS, 9-OH-RIS, or the total active moiety. After correction for multiple testing, rs78998153 in UGT2B17 (which is highly expressed in the brain) remained the most significant PGx marker positively adjusting the metabolic ratio. For the first time, certain human leukocyte antigen (HLA) markers were found to enhance various RIS exposure parameters, which reinforces the gut-brain axis theory of ASD etiology and its suggested inflammatory impacts on drug bioavailability through modulation of the brain, gastrointestinal tract and/or hepatic expression of metabolizing enzymes and transporters. Conclusion: Our hypothesis-generating approach identified a broad spectrum of PGx markers that interactively influence RIS exposure in ASD children, which indicated the need for further validation in population PK modeling studies to define polygenic scores for antipsychotic efficacy and safety, which could facilitate personalized therapeutic decision-making in this complex neurodevelopmental condition.
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Affiliation(s)
- Sireen Abdul Rahim Shilbayeh
- Department of Pharmacy Practice, College of Pharmacy, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia
| | - Iman Sharaf Adeen
- Department of Pediatric Behavior and Development and Adolescent Medicine, King Fahad Medical City, Riyadh, Saudi Arabia
| | - Ezzeldeen Hasan Ghanem
- Pharmaceutical Analysis Section, King Abdullah International Medical Research Center (KAIMRC), King Abdulaziz Medical City, Ministry of National Guard - Health Affairs, Riyadh, Saudi Arabia
| | - Haya Aljurayb
- Molecular Pathology Laboratory, Pathology and Clinical Laboratory Medicine Administration, King Fahad Medical City, Riyadh, Saudi Arabia
| | - Khawlah Essa Aldilaijan
- Health Sciences Research Center, King Abdullah Bin Abdulaziz University Hospital, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia
| | - Fatimah AlDosari
- Pharmaceutical Care Department, Ministry of National Guard-Health Affairs, Jeddah, Saudi Arabia
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3
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Biswas M, Vanwong N, Sukasem C. Pharmacogenomics and non-genetic factors affecting drug response in autism spectrum disorder in Thai and other populations: current evidence and future implications. Front Pharmacol 2024; 14:1285967. [PMID: 38375208 PMCID: PMC10875059 DOI: 10.3389/fphar.2023.1285967] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Accepted: 12/26/2023] [Indexed: 02/21/2024] Open
Abstract
Autism spectrum disorder (ASD) may affect family and social life profoundly. Although there is no selective pharmacotherapy for ASD, the Food and Drug Administration (FDA) has recommended risperidone/aripiprazole to treat the associated symptoms of ASD, such as agitation/irritability. Strong associations of some pharmacokinetic/pharmacodynamic gene variants, e.g., CYP2D6 and DRD2, with risperidone-induced hyperprolactinemia have been found in children with ASD, but such strong genetic associations have not been found directly for aripiprazole in ASD. In addition to pharmacogenomic (PGx) factors, drug-drug interactions (DDIs) and possibly cumulative effects of DDIs and PGx may affect the safety or effectiveness of risperidone/aripiprazole, which should be assessed in future clinical studies in children with ASD. Reimbursement, knowledge, and education of healthcare professionals are the key obstacles preventing the successful implementation of ASD pharmacogenomics into routine clinical practice. The preparation of national and international PGx-based dosing guidelines for risperidone/aripiprazole based on robust evidence may advance precision medicine for ASD.
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Affiliation(s)
- Mohitosh Biswas
- Department of Pharmacy, University of Rajshahi, Rajshahi, Bangladesh
- Division of Pharmacogenomics and Personalized Medicine, Department of Pathology, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
- Laboratory for Pharmacogenomics, Ramathibodi Hospital, Somdech Phra Debaratana Medical Center SDMC, Bangkok, Thailand
| | - Natchaya Vanwong
- Department of Clinical Chemistry, Faculty of Allied Health Sciences, Chulalongkorn University, Bangkok, Thailand
- Cardiovascular Precision Medicine Research Group, Special Task Force of Activating Research (STAR), Chulalongkorn University, Bangkok, Thailand
| | - Chonlaphat Sukasem
- Division of Pharmacogenomics and Personalized Medicine, Department of Pathology, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
- Laboratory for Pharmacogenomics, Ramathibodi Hospital, Somdech Phra Debaratana Medical Center SDMC, Bangkok, Thailand
- Pharmacogenomics and Precision Medicine Clinic, Bumrungrad Genomic Medicine Institute (BGMI), Bumrungrad International Hospital, Bangkok, Thailand
- Faculty of Pharmaceutical Sciences, Burapha University, Mueang, Thailand
- Department of Pharmacology and Therapeutics, MRC Centre for Drug Safety Science, Institute of Systems, Molecular, and Integrative Biology, University of Liverpool, Liverpool, United Kingdom
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4
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Biswas M, Vanwong N, Sukasem C. Pharmacogenomics in clinical practice to prevent risperidone-induced hyperprolactinemia in autism spectrum disorder. Pharmacogenomics 2022; 23:493-503. [PMID: 35477330 DOI: 10.2217/pgs-2022-0016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Autism spectrum disorder (ASD) is a global challenge that may disrupts family and social life significantly. There is robust evidence for the association of a pharmacokinetic gene variant (e.g., CYP2D6) with risperidone-induced hyperprolactinemia in ASD. Association of a pharmacodynamic gene variant (e.g., DRD2) with risperidone-induced hyperprolactinemia in ASD is also evident from multiple studies. In addition to genetic factors, dose, duration and drug-drug interactions of risperidone might also increase the serum prolactin level. There are several difficulties, such as reimbursement, knowledge and education of healthcare providers, in implementing risperidone pharmacogenomics into clinical practice. However, preparation of national and international pharmacogenomics-based dosing guidelines of risperidone may advance precision medicine of ASD.
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Affiliation(s)
- Mohitosh Biswas
- Division of Pharmacogenomics & Personalized Medicine, Department of Pathology, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, 10400, Thailand.,Laboratory for Pharmacogenomics, Ramathibodi Hospital, Somdech Phra Debaratana Medical Center SDMC, Bangkok, 10400, Thailand.,Department of Pharmacy, University of Rajshahi, Rajshahi, 6205, Bangladesh
| | - Natchaya Vanwong
- Department of Clinical Chemistry, Faculty of Allied Health Sciences, Chulalongkorn University, Bangkok, 10330, Thailand.,Department of Clinical Chemistry, Cardiovascular Precision Medicine Research Group, Special Task Force of Activating Research (STAR), Faculty of Allied Health Sciences, Chulalongkorn University, Bangkok, 10330, Thailand.,Department of Clinical Chemistry, SYstems Neuroscience of Autism & PSychiatric Disorders (SYNAPS) Research Unit, Faculty of Allied Health Sciences, Chulalongkorn University, Bangkok, 10330, Thailand
| | - Chonlaphat Sukasem
- Division of Pharmacogenomics & Personalized Medicine, Department of Pathology, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, 10400, Thailand.,Laboratory for Pharmacogenomics, Ramathibodi Hospital, Somdech Phra Debaratana Medical Center SDMC, Bangkok, 10400, Thailand.,The Preventive Genomics & Family Check-Up Services Center, Bumrungrad International Hospital, Pharmacogenomics & Precision Medicine Clinic, Bangkok, 10110, Thailand.,Department of Pharmacology & Therapeutics, MRC Centre for Drug Safety Science, Institute of Systems, Molecular & Integrative Biology, University of Liverpool, Liverpool, L69 3GL, UK
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5
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Yoshida K, Koyama E, Zai CC, Beitchman JH, Kennedy JL, Lunsky Y, Desarkar P, Müller DJ. Pharmacogenomic Studies in Intellectual Disabilities and Autism Spectrum Disorder: A Systematic Review. CANADIAN JOURNAL OF PSYCHIATRY. REVUE CANADIENNE DE PSYCHIATRIE 2021; 66:1019-1041. [PMID: 33222504 PMCID: PMC8689451 DOI: 10.1177/0706743720971950] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
BACKGROUND Individuals with intellectual disability (ID) and autism spectrum disorder (ASD) often receive psychotropic medications such as antipsychotics and antidepressants to treat aberrant behaviors and mood symptoms, frequently resulting in polypharmacy and drug-related adverse effects. Pharmacogenomic (PGx) studies with ASD and/or ID (ASD/ID) have been scarce despite the promise of optimizing treatment outcomes. We reviewed the literature on PGx studies with antipsychotics and antidepressants (e.g., treatment response and adverse effects) in ASD/ID. METHODS We performed a systematic review using MEDLINE, Embase, and PsycINFO, including peer-reviewed original articles in English referring to PGx in the treatment of ASD/ID in any age groups (e.g., treatment response and adverse effects). RESULTS A total of 28 PGx studies using mostly candidate gene approaches were identified across age groups. Notably, only 3 studies included adults with ASD/ID while the other 25 studies focused specifically on children/adolescents with ASD/ID. Twelve studies primarily investigated treatment response, of which 5 and 6 studies included patients treated with antipsychotics and antidepressants, respectively. Most interesting results for response were reported for 2 sets of candidate gene studies, namely: (1) The DRD3 Ser9Gly (rs6280) polymorphism was examined in patients treated with risperidone in 3 studies, 2 of which reported an association with risperidone treatment response and (2) the SLC6A4 5-HTTLPR polymorphism and treatment response to antidepressants which was investigated in 4 studies, 3 of which reported significant associations. In regard to side effects, 9 of 15 studies focused on hyperprolactinemia in patients treated with risperidone. Among them, 7 and 5 studies examined the impact of CYP2D6 and DRD2 Taq1A polymorphisms, respectively, yielding mostly negative study findings. CONCLUSIONS There is limited data available on PGx in individuals with ASD/ID and in particular in adults. Given the potential for PGx testing in improving treatment outcomes, additional PGx studies for psychotropic treatment in ASD/ID across age groups are warranted.
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Affiliation(s)
- Kazunari Yoshida
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan.,Tanenbaum Centre for Pharmacogenetics, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.,Azrieli Adult Neurodevelopmental Centre, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Emiko Koyama
- Tanenbaum Centre for Pharmacogenetics, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.,Margaret and Wallace McCain Centre for Child, Youth and Family Mental Health, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Clement C Zai
- Tanenbaum Centre for Pharmacogenetics, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.,Department of Psychiatry, University of Toronto, Ontario, Canada.,Institute of Medical Science, University of Toronto, Ontario, Canada.,Laboratory Medicine and Pathobiology, University of Toronto, Ontario, Canada
| | - Joseph H Beitchman
- Margaret and Wallace McCain Centre for Child, Youth and Family Mental Health, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.,Department of Psychiatry, University of Toronto, Ontario, Canada
| | - James L Kennedy
- Tanenbaum Centre for Pharmacogenetics, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.,Department of Psychiatry, University of Toronto, Ontario, Canada.,Institute of Medical Science, University of Toronto, Ontario, Canada
| | - Yona Lunsky
- Azrieli Adult Neurodevelopmental Centre, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.,Department of Psychiatry, University of Toronto, Ontario, Canada
| | - Pushpal Desarkar
- Azrieli Adult Neurodevelopmental Centre, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.,Department of Psychiatry, University of Toronto, Ontario, Canada.,Institute of Medical Science, University of Toronto, Ontario, Canada.,Adult Neurodevelopmental Services, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Daniel J Müller
- Tanenbaum Centre for Pharmacogenetics, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.,Department of Psychiatry, University of Toronto, Ontario, Canada.,Institute of Medical Science, University of Toronto, Ontario, Canada
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6
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Poblete D, Bernal F, Llull G, Archiles S, Vasquez P, Chanqueo L, Soto N, Lavanderos MA, Quiñones LA, Varela NM. Pharmacogenetic Associations Between Atazanavir/ UGT1A1*28 and Efavirenz/rs3745274 ( CYP2B6) Account for Specific Adverse Reactions in Chilean Patients Undergoing Antiretroviral Therapy. Front Pharmacol 2021; 12:660965. [PMID: 34093191 PMCID: PMC8170096 DOI: 10.3389/fphar.2021.660965] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2021] [Accepted: 04/27/2021] [Indexed: 11/17/2022] Open
Abstract
Background: Efavirenz (EFV), a non-nucleoside reverse transcriptase inhibitor, and atazanavir (ATV), a protease inhibitor, are drugs widely used in antiretroviral therapy (ART) for people living with HIV. These drugs have shown high interindividual variability in adverse drug reactions (ADRs). UGT1A1*28 and CYP2B6 c.516G>T have been proposed to be related with higher toxicity by ATV and EFV, respectively. Objective: To study the association between genetic polymorphisms and ADRs related to EFV or ATV in patients living with HIV treated at a public hospital in Chile. Methods: Epidemiologic, case–control, retrospective, observational study in 67 adult patients under EFV or ATV treatment was conducted, in the San Juan de Dios Hospital. Data were obtained from patients’ medical records. Genotype analyses were performed using rtPCR for rs887829 (indirect identification of UGT1A1*28 allele) and rs3745274 (CYP2B6 c.516G>T), with TaqMan® probes. The association analyses were performed with univariate logistic regression between genetic variants using three inheritance models (codominant, recessive, and dominant). Results: In ATV-treated patients, hyperbilirubinemia (total bilirubin >1.2 mg/dl) had the main incidence (61.11%), and moderate and severe hyperbilirubinemia (total bilirubin >1.9 mg/dl) were statistically associated with UGT1A1*28 in recessive and codominant inheritance models (OR = 16.33, p = 0.028 and OR = 10.82, p = 0.036, respectively). On the other hand, in EFV-treated patients adverse reactions associated with CNS toxicity reached 34.21%. In this respect, nightmares showed significant association with CYP2B6 c.516G>T, in codominant and recessive inheritance models (OR = 12.00, p = 0.031 and OR = 7.14, p = 0.042, respectively). Grouped CNS ADRs (nightmares, insomnia, anxiety, and suicide attempt) also showed a statistically significant association with CYP2B6 c.516G > T in the codominant and recessive models (OR = 30.00, p = 0.011 and OR = 14.99, p = 0.021, respectively). Conclusion: Our findings suggest that after treatment with ATV or EFV, UGT1A1*28 and CYP2B6 c.516G>T influence the appearance of moderate-to-severe hyperbilirubinemia and CNS toxicity, respectively. However, larger prospective studies will be necessary to validate these associations in our population. Without a doubt, improving adherence in patients living with HIV is a critical issue to the success of therapy. Hence, validating and applying international pharmacogenetic recommendations in Latin American countries would improve the precision of ART: a fundamental aspect to achieve the 95–95–95 treatment target proposed by UNAIDS.
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Affiliation(s)
- Daniela Poblete
- Laboratory of Chemical Carcinogenesis and Pharmacogenetics, Department of Basic and Clinical Oncology, Faculty of Medicine, University of Chile, Santiago, Chile
| | - Fernando Bernal
- Department of Infectious Diseases, Hospital San Juan de Dios, Santiago, Chile
| | - Gabriel Llull
- Clinical Laboratory, Hospital San Juan de Dios, Santiago, Chile
| | | | - Patricia Vasquez
- Department of Infectious Diseases, Hospital San Juan de Dios, Santiago, Chile
| | - Leonardo Chanqueo
- Department of Infectious Diseases, Hospital San Juan de Dios, Santiago, Chile
| | - Nicole Soto
- Laboratory of Chemical Carcinogenesis and Pharmacogenetics, Department of Basic and Clinical Oncology, Faculty of Medicine, University of Chile, Santiago, Chile
| | - María A Lavanderos
- Laboratory of Chemical Carcinogenesis and Pharmacogenetics, Department of Basic and Clinical Oncology, Faculty of Medicine, University of Chile, Santiago, Chile.,Latin American Network for the Implementation and Validation of Clinical Pharmacogenomics Guidelines (RELIVAF-CYTED), Madrid, Spain
| | - Luis A Quiñones
- Laboratory of Chemical Carcinogenesis and Pharmacogenetics, Department of Basic and Clinical Oncology, Faculty of Medicine, University of Chile, Santiago, Chile.,Latin American Network for the Implementation and Validation of Clinical Pharmacogenomics Guidelines (RELIVAF-CYTED), Madrid, Spain
| | - Nelson M Varela
- Laboratory of Chemical Carcinogenesis and Pharmacogenetics, Department of Basic and Clinical Oncology, Faculty of Medicine, University of Chile, Santiago, Chile.,Latin American Network for the Implementation and Validation of Clinical Pharmacogenomics Guidelines (RELIVAF-CYTED), Madrid, Spain
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7
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Lapato DM, Moore AA, Findling R, Brown RC, Roberson-Nay R. An Update on Precision Medicine Advances In Neurodevelopmental Disorders. Psychiatr Ann 2021; 51:175-184. [PMID: 37609560 PMCID: PMC10443929 DOI: 10.3928/00485713-20210309-01] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 08/24/2023]
Abstract
Neurodevelopmental disorders, including autism spectrum disorder (ASD) and attention-deficit/hyper-activity disorder (ADHD), represent a group of conditions that manifest early in child development and produce impairments across multiple domains of functioning. Although a number of pharmacological and psychosocial treatments exist to improve the symptoms associated with these syndromes, treatment advances have lagged. The Precision Medicine Initiative was launched with the goal of revolutionizing medicine by progressing beyond the historical one-size-fits-all approach. In this review, we evaluate current research efforts to personalize treatments for ASD and ADHD. Most pharmacogenetic testing has focused on the cytochrome P450 enzyme family with a particular focus on CYP2D6 and CYP2C19, which are genes that produce an enzyme that acts as a key metabolizer of many prescribed medications. This article provides an update on the state of the field of pharmacogenetics and "therapy-genetics" in the context of ASD and ADHD, and it also encourages clinicians to follow US Food and Drug Administration recommendations regarding pharmacogenetic testing.
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Affiliation(s)
- Dana M. Lapato
- Department of Human and Molecular Genetics, Virginia Commonwealth University
- Virginia Institute of Psychiatric and Behavioral Genetics, Virginia Commonwealth University
| | - Ashlee A. Moore
- Virginia Institute of Psychiatric and Behavioral Genetics, Virginia Commonwealth University
- Department of Psychiatry Virginia Commonwealth University
| | | | - Ruth C. Brown
- Virginia Institute of Psychiatric and Behavioral Genetics, Virginia Commonwealth University
- Department of Psychiatry Virginia Commonwealth University
| | - Roxann Roberson-Nay
- Virginia Institute of Psychiatric and Behavioral Genetics, Virginia Commonwealth University
- Department of Psychiatry Virginia Commonwealth University
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8
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Horinouchi T, Maeyama K, Nagai M, Mizobuchi M, Takagi Y, Okada Y, Kato T, Nishimura M, Kawasaki Y, Yoshioka M, Takada S, Matsumoto H, Nakamachi Y, Saegusa J, Fukushima S, Fujioka K, Tomioka K, Nagase H, Nozu K, Iijima K, Nishimura N. Genetic Analysis of UGT1A1 Polymorphisms Using Preserved Dried Umbilical Cord for Assessing the Potential of Neonatal Jaundice as a Risk Factor for Autism Spectrum Disorder in Children. J Autism Dev Disord 2021; 52:483-489. [PMID: 33730321 DOI: 10.1007/s10803-021-04941-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/16/2021] [Indexed: 12/27/2022]
Abstract
Neonatal jaundice has been suggested as a perinatal risk factor for autism spectrum disorder (ASD). We examined UGT1A1 polymorphisms to assess the potential of neonatal jaundice as a risk factor for ASD in children by using DNA extracted from preserved umbilical cord. In total, 79 children with ASD were genotyped for UGT1A1*28 (c.-41-40dup), UGT1A1*6 (c.211 G > A), and UGT1A1*27 (c.686 C > A). The allele frequency of UGT1A1*6 (OR = 1.34, p = 0.26) and UGT1A1*28 (OR = 0.80, p = 0.54) and the prevalence of UGT1A1*28/*6 diplotypes did not differ significantly from those in the control population. No UGT1A1*27 allele was detected in the subjects. ASD symptom assessment scores were not associated with UGT1A1*28/*6/*27 genotypes or UGT1A1*28/*6 diplotypes. These results suggest that neonatal jaundice is not significantly associated with ASD.
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Affiliation(s)
- Tomoko Horinouchi
- Department of Pediatrics, Kobe University Graduate School of Medicine, Kobe, Japan
| | - Kaori Maeyama
- Department of Pediatrics, Kobe University Graduate School of Medicine, Kobe, Japan
- Palmore Hospital, Kobe, Japan
| | - Masashi Nagai
- Department of Pediatrics, Kobe University Graduate School of Medicine, Kobe, Japan
- Department of Metabolic Endocrinology, Kobe Children's Hospital, Kobe, Japan
| | - Masami Mizobuchi
- Department of Developmental Pediatrics, Shizuoka Children's Hospital, Shizuoka, Japan
| | - Yasuko Takagi
- General Pediatric and Rehabilitation Center for the Disabled, Kobe, Japan
| | - Yuka Okada
- Eastern Pediatric and Rehabilitation Center for the Disabled, Kobe, Japan
| | - Takeshi Kato
- Western Pediatric and Rehabilitation Center for the Disabled, Kobe, Japan
| | | | | | - Mieko Yoshioka
- General Pediatric and Rehabilitation Center for the Disabled, Kobe, Japan
| | - Satoshi Takada
- General Pediatric and Rehabilitation Center for the Disabled, Kobe, Japan
| | | | - Yuji Nakamachi
- Division of Clinical Laboratory, Kobe University Hospital, Kobe, Japan
| | - Jun Saegusa
- Division of Clinical Laboratory, Kobe University Hospital, Kobe, Japan
| | - Sachiyo Fukushima
- Department of Pediatrics, Kobe University Graduate School of Medicine, Kobe, Japan
| | - Kazumichi Fujioka
- Department of Pediatrics, Kobe University Graduate School of Medicine, Kobe, Japan
| | - Kazumi Tomioka
- Department of Pediatrics, Kobe University Graduate School of Medicine, Kobe, Japan
| | - Hiroaki Nagase
- Department of Pediatrics, Kobe University Graduate School of Medicine, Kobe, Japan
| | - Kandai Nozu
- Department of Pediatrics, Kobe University Graduate School of Medicine, Kobe, Japan
| | - Kazumoto Iijima
- Department of Pediatrics, Kobe University Graduate School of Medicine, Kobe, Japan
| | - Noriyuki Nishimura
- Department of Public Health, Kobe University Graduate School of Health Science, 7-10-2 Tomogaoka, Suma-ku, Kobe, 654-0142, Japan.
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9
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Guo W, Yu Z, Gao Y, Lan X, Zang Y, Yu P, Wang Z, Sun W, Hao X, Gao F. A Machine Learning Model to Predict Risperidone Active Moiety Concentration Based on Initial Therapeutic Drug Monitoring. Front Psychiatry 2021; 12:711868. [PMID: 34867511 PMCID: PMC8637165 DOI: 10.3389/fpsyt.2021.711868] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/16/2021] [Accepted: 10/11/2021] [Indexed: 12/25/2022] Open
Abstract
Risperidone is an efficacious second-generation antipsychotic (SGA) to treat a wide spectrum of psychiatric diseases, whereas its active moiety (risperidone and 9-hydroxyrisperidone) concentration without a therapeutic reference range may increase the risk of adverse drug reactions. We aimed to establish a prediction model of risperidone active moiety concentration in the next therapeutic drug monitoring (TDM) based on the initial TDM information using machine learning methods. A total of 983 patients treated with risperidone between May 2017 and May 2018 in Beijing Anding Hospital were collected as the data set. Sixteen predictors (the initial TDM value, dosage, age, WBC, PLT, BUN, weight, BMI, prolactin, ALT, MECT, Cr, AST, Ccr, TDM interval, and RBC) were screened from 26 variables through univariate analysis (p < 0.05) and XGBoost (importance score >0). Ten algorithms (XGBoost, LightGBM, CatBoost, AdaBoost, Random Forest, support vector machine, lasso regression, ridge regression, linear regression, and k-nearest neighbor) compared the model performance, and ultimately, XGBoost was chosen to establish the prediction model. A cohort of 210 patients treated with risperidone between March 1, 2019, and May 31, 2019, in Beijing Anding Hospital was used to validate the model. Finally, the prediction model was evaluated, obtaining R 2 (0.512 in test cohort; 0.374 in validation cohort), MAE (10.97 in test cohort; 12.07 in validation cohort), MSE (198.55 in test cohort; 324.15 in validation cohort), RMSE (14.09 in test cohort; 18.00 in validation cohort), and accuracy of the predicted TDM within ±30% of the actual TDM (54.82% in test cohort; 60.95% in validation cohort). The prediction model has promising performance to facilitate rational risperidone regimen on an individualized level and provide reference for other antipsychotic drugs' risk prediction.
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Affiliation(s)
- Wei Guo
- Beijing Key Laboratory of Mental Disorders, The National Clinical Research Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China.,Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Ze Yu
- Beijing Medicinovo Technology Co. Ltd., Beijing, China
| | - Ya Gao
- Lugouqiao Community Health Service Center, Beijing, China
| | - Xiaoqian Lan
- Beijing Key Laboratory of Mental Disorders, The National Clinical Research Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China.,Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Yannan Zang
- Beijing Key Laboratory of Mental Disorders, The National Clinical Research Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China.,Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Peng Yu
- Beijing Medicinovo Technology Co. Ltd., Beijing, China
| | - Zeyuan Wang
- School of Computer Science, The University of Sydney, Sydney, NSW, Australia
| | - Wenzhuo Sun
- Xi'an Jiaotong-liverpool University, Suzhou, China
| | - Xin Hao
- Dalian Medicinovo Technology Co. Ltd., Dalian, China
| | - Fei Gao
- Beijing Medicinovo Technology Co. Ltd., Beijing, China
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10
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Pharmacogenomics of Cognitive Dysfunction and Neuropsychiatric Disorders in Dementia. Int J Mol Sci 2020; 21:ijms21093059. [PMID: 32357528 PMCID: PMC7246738 DOI: 10.3390/ijms21093059] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2020] [Revised: 04/21/2020] [Accepted: 04/21/2020] [Indexed: 02/07/2023] Open
Abstract
Symptomatic interventions for patients with dementia involve anti-dementia drugs to improve cognition, psychotropic drugs for the treatment of behavioral disorders (BDs), and different categories of drugs for concomitant disorders. Demented patients may take >6–10 drugs/day with the consequent risk for drug–drug interactions and adverse drug reactions (ADRs >80%) which accelerate cognitive decline. The pharmacoepigenetic machinery is integrated by pathogenic, mechanistic, metabolic, transporter, and pleiotropic genes redundantly and promiscuously regulated by epigenetic mechanisms. CYP2D6, CYP2C9, CYP2C19, and CYP3A4/5 geno-phenotypes are involved in the metabolism of over 90% of drugs currently used in patients with dementia, and only 20% of the population is an extensive metabolizer for this tetragenic cluster. ADRs associated with anti-dementia drugs, antipsychotics, antidepressants, anxiolytics, hypnotics, sedatives, and antiepileptic drugs can be minimized by means of pharmacogenetic screening prior to treatment. These drugs are substrates, inhibitors, or inducers of 58, 37, and 42 enzyme/protein gene products, respectively, and are transported by 40 different protein transporters. APOE is the reference gene in most pharmacogenetic studies. APOE-3 carriers are the best responders and APOE-4 carriers are the worst responders; likewise, CYP2D6-normal metabolizers are the best responders and CYP2D6-poor metabolizers are the worst responders. The incorporation of pharmacogenomic strategies for a personalized treatment in dementia is an effective option to optimize limited therapeutic resources and to reduce unwanted side-effects.
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11
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Cacabelos R. Pharmacogenomics of drugs used to treat brain disorders. EXPERT REVIEW OF PRECISION MEDICINE AND DRUG DEVELOPMENT 2020. [DOI: 10.1080/23808993.2020.1738217] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Affiliation(s)
- Ramon Cacabelos
- International Center of Neuroscience and Genomic Medicine, EuroEspes Biomedical Research Center, Corunna, Spain
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12
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Fortinguerra S, Sorrenti V, Giusti P, Zusso M, Buriani A. Pharmacogenomic Characterization in Bipolar Spectrum Disorders. Pharmaceutics 2019; 12:E13. [PMID: 31877761 PMCID: PMC7022469 DOI: 10.3390/pharmaceutics12010013] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2019] [Revised: 12/14/2019] [Accepted: 12/19/2019] [Indexed: 12/15/2022] Open
Abstract
The holistic approach of personalized medicine, merging clinical and molecular characteristics to tailor the diagnostic and therapeutic path to each individual, is steadily spreading in clinical practice. Psychiatric disorders represent one of the most difficult diagnostic challenges, given their frequent mixed nature and intrinsic variability, as in bipolar disorders and depression. Patients misdiagnosed as depressed are often initially prescribed serotonergic antidepressants, a treatment that can exacerbate a previously unrecognized bipolar condition. Thanks to the use of the patient's genomic profile, it is possible to recognize such risk and at the same time characterize specific genetic assets specifically associated with bipolar spectrum disorder, as well as with the individual response to the various therapeutic options. This provides the basis for molecular diagnosis and the definition of pharmacogenomic profiles, thus guiding therapeutic choices and allowing a safer and more effective use of psychotropic drugs. Here, we report the pharmacogenomics state of the art in bipolar disorders and suggest an algorithm for therapeutic regimen choice.
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Affiliation(s)
- Stefano Fortinguerra
- Maria Paola Belloni Center for Personalized Medicine, Data Medica Group (Synlab Limited), 35131 Padova, Italy; (S.F.); (V.S.)
- Department of Pharmaceutical & Pharmacological Sciences, University of Padova, 35131 Padova, Italy; (P.G.); (M.Z.)
| | - Vincenzo Sorrenti
- Maria Paola Belloni Center for Personalized Medicine, Data Medica Group (Synlab Limited), 35131 Padova, Italy; (S.F.); (V.S.)
- Department of Pharmaceutical & Pharmacological Sciences, University of Padova, 35131 Padova, Italy; (P.G.); (M.Z.)
- Bendessere™ Study Center, Solgar Italia Multinutrient S.p.A., 35131 Padova, Italy
| | - Pietro Giusti
- Department of Pharmaceutical & Pharmacological Sciences, University of Padova, 35131 Padova, Italy; (P.G.); (M.Z.)
| | - Morena Zusso
- Department of Pharmaceutical & Pharmacological Sciences, University of Padova, 35131 Padova, Italy; (P.G.); (M.Z.)
| | - Alessandro Buriani
- Maria Paola Belloni Center for Personalized Medicine, Data Medica Group (Synlab Limited), 35131 Padova, Italy; (S.F.); (V.S.)
- Department of Pharmaceutical & Pharmacological Sciences, University of Padova, 35131 Padova, Italy; (P.G.); (M.Z.)
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13
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Potential of herb-drug / herb interactions between substrates and inhibitors of UGTs derived from herbal medicines. Pharmacol Res 2019; 150:104510. [DOI: 10.1016/j.phrs.2019.104510] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/13/2019] [Revised: 10/14/2019] [Accepted: 10/22/2019] [Indexed: 12/15/2022]
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