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Koller D, Almenara S, Mejía G, Saiz-Rodríguez M, Zubiaur P, Román M, Ochoa D, Navares-Gómez M, Santos-Molina E, Pintos-Sánchez E, Abad-Santos F. Metabolic Effects of Aripiprazole and Olanzapine Multiple-Dose Treatment in a Randomised Crossover Clinical Trial in Healthy Volunteers: Association with Pharmacogenetics. Adv Ther 2021; 38:1035-1054. [PMID: 33278020 PMCID: PMC7889573 DOI: 10.1007/s12325-020-01566-w] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2020] [Accepted: 11/07/2020] [Indexed: 12/11/2022]
Abstract
Introduction Aripiprazole and olanzapine are atypical antipsychotics. Both drugs can induce metabolic changes; however, the metabolic side effects produced by aripiprazole are more benign. The aim of the study was to evaluate if aripiprazole and olanzapine alter prolactin levels, lipid and glucose metabolism and hepatic, haematological, thyroid and renal function. Methods Twenty-four healthy volunteers received a daily oral dose of 10 mg aripiprazole and 5 mg olanzapine tablets for 5 days in a crossover randomised clinical trial and were genotyped for 51 polymorphisms in 18 genes by qPCR. Drug plasma concentrations were measured by LC–MS. The biochemical and haematological analyses were performed by enzymatic methods. Results Olanzapine induced hyperprolactinaemia but aripiprazole did not. Dopamine D3 receptor (DRD3) Ser/Gly and ATP binding cassette subfamily B member 1 (ABCB1) rs10280101, rs12720067 and rs11983225 polymorphisms and cytochrome P450 3A (CYP3A) phenotype had an impact on plasma prolactin levels. C-peptide concentrations were higher after aripiprazole administration and were influenced by catechol-O-methyltransferase (COMT) rs4680 and rs13306278 polymorphisms. Olanzapine and the UDP glucuronosyltransferase family 1 member A1 (UGT1A1) rs887829 polymorphism were associated with elevated glucose levels. CYP3A poor metabolizers had increased insulin levels. Volunteers’ weight decreased significantly during aripiprazole treatment and a tendency for weight gain was observed during olanzapine treatment. Triglyceride concentrations decreased as a result of olanzapine and aripiprazole treatment, and varied on the basis of CYP3A phenotypes and the apolipoprotein C-III (APOC3) rs4520 genotype. Cholesterol levels were also decreased and depended on 5-hydroxytryptamine receptor 2A (HTR2A) rs6314 polymorphism. All hepatic enzymes, platelet and albumin levels, and prothrombin time were altered during both treatments. Additionally, olanzapine reduced the leucocyte count, aripiprazole increased free T4 and both decreased uric acid concentrations. Conclusions Short-term treatment with aripiprazole and olanzapine had a significant influence on the metabolic parameters. However, it seems that aripiprazole provokes less severe metabolic changes. Trial Registration Clinical trial registration number (EUDRA-CT): 2018-000744-26 Graphical Abstract ![]()
Electronic Supplementary Material The online version of this article (10.1007/s12325-020-01566-w) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Dora Koller
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, School of Medicine, Universidad Autónoma de Madrid, Instituto de Investigación Sanitaria La Princesa (IP), Madrid, Spain
| | - Susana Almenara
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, School of Medicine, Universidad Autónoma de Madrid, Instituto de Investigación Sanitaria La Princesa (IP), Madrid, Spain
| | - Gina Mejía
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, School of Medicine, Universidad Autónoma de Madrid, Instituto de Investigación Sanitaria La Princesa (IP), Madrid, Spain
- UICEC Hospital Universitario de La Princesa, Platform SCReN (Spanish Clinical Research Network), Instituto de Investigación Sanitaria La Princesa (IP), Madrid, Spain
| | - Miriam Saiz-Rodríguez
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, School of Medicine, Universidad Autónoma de Madrid, Instituto de Investigación Sanitaria La Princesa (IP), Madrid, Spain
- Research Unit, Fundación Burgos Por La Investigación de La Salud, Hospital Universitario de Burgos, Burgos, Spain
| | - Pablo Zubiaur
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, School of Medicine, Universidad Autónoma de Madrid, Instituto de Investigación Sanitaria La Princesa (IP), Madrid, Spain
| | - Manuel Román
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, School of Medicine, Universidad Autónoma de Madrid, Instituto de Investigación Sanitaria La Princesa (IP), Madrid, Spain
- UICEC Hospital Universitario de La Princesa, Platform SCReN (Spanish Clinical Research Network), Instituto de Investigación Sanitaria La Princesa (IP), Madrid, Spain
| | - Dolores Ochoa
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, School of Medicine, Universidad Autónoma de Madrid, Instituto de Investigación Sanitaria La Princesa (IP), Madrid, Spain
- UICEC Hospital Universitario de La Princesa, Platform SCReN (Spanish Clinical Research Network), Instituto de Investigación Sanitaria La Princesa (IP), Madrid, Spain
| | - Marcos Navares-Gómez
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, School of Medicine, Universidad Autónoma de Madrid, Instituto de Investigación Sanitaria La Princesa (IP), Madrid, Spain
| | - Elena Santos-Molina
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, School of Medicine, Universidad Autónoma de Madrid, Instituto de Investigación Sanitaria La Princesa (IP), Madrid, Spain
- UICEC Hospital Universitario de La Princesa, Platform SCReN (Spanish Clinical Research Network), Instituto de Investigación Sanitaria La Princesa (IP), Madrid, Spain
| | - Elena Pintos-Sánchez
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, School of Medicine, Universidad Autónoma de Madrid, Instituto de Investigación Sanitaria La Princesa (IP), Madrid, Spain
- UICEC Hospital Universitario de La Princesa, Platform SCReN (Spanish Clinical Research Network), Instituto de Investigación Sanitaria La Princesa (IP), Madrid, Spain
| | - Francisco Abad-Santos
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, School of Medicine, Universidad Autónoma de Madrid, Instituto de Investigación Sanitaria La Princesa (IP), Madrid, Spain.
- UICEC Hospital Universitario de La Princesa, Platform SCReN (Spanish Clinical Research Network), Instituto de Investigación Sanitaria La Princesa (IP), Madrid, Spain.
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Hegazy M, El-Shafey M, Abulsoud AI, Elsadek BEM, Abd Elaziz AI, Salama SA. Pioglitazone ameliorates high fat diet-induced hypertension and induces catechol o-methyl transferase expression in rats. Eur J Pharmacol 2020; 885:173383. [PMID: 32750363 DOI: 10.1016/j.ejphar.2020.173383] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2020] [Revised: 06/09/2020] [Accepted: 07/16/2020] [Indexed: 12/28/2022]
Abstract
Our study aimed to investigate the effect of pioglitazone (PIO) on the obesity-associated metabolic effects and whether this effect is associated with modulation of catechol O-methyl transferase (COMT) expression in the high fat diet (HFD) induced obese rats. Male Wistar rats fed HFD were used to evaluate the effect of PIO on obesity-associated hypertension and the expression of COMT. The HFD-induced obesity was confirmed by the change in body weights, the fasting serum insulin (FSI) which assessed by ELISA, homeostasis model assessment - insulin resistance (HOMA-IR), fasting blood glucose (FBG), oral glucose tolerance test (OGTT) and lipid profile which were determined by colorimetric methods. Plasma epinephrine (EP) and norepinephrine (NE) were determined by ELISA and the systolic blood pressure (SBP) was recorded using the tail-cuff method. COMT expression was assessed by quantitative real time-polymerase chain reaction (qRT-PCR), and western blotting. The HFD-induced obesity was associated with glucose intolerance, derangement of the lipid profile, increased SBP, reduced COMT expression with a concomitant increase in plasma catecholamines. Most importantly, treatment with PIO ameliorated the HFD-induced metabolic changes, improved the lipid profile, reduced SBP, increased COMT expression, and reduced plasma catecholamines. Treatment with PIO reversed HFD-induced glucose intolerance and the associated metabolic derangement. In addition, these effects of PIO were associated with up-regulating COMT expression with a subsequent reduction in plasma catecholamines levels.
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Affiliation(s)
- Maghawry Hegazy
- Department of Biochemistry, Faculty of Pharmacy (Boys), Al-Azhar University, Cairo, Egypt.
| | - Mostafa El-Shafey
- Department of Biochemistry, Faculty of Pharmacy (Boys), Al-Azhar University, Cairo, Egypt
| | - Ahmed Ibrahim Abulsoud
- Department of Biochemistry, Faculty of Pharmacy (Boys), Al-Azhar University, Cairo, Egypt; Department of Biochemistry, Faculty of Pharmacy, Heliopolis University, Cairo, Egypt
| | - Bakheet E M Elsadek
- Department of Biochemistry, Faculty of Pharmacy (Boys), Al-Azhar University, Assiut, Egypt
| | - Adel I Abd Elaziz
- Department of Pharmacology, Faculty of Medicine (Boys), Al-Azhar University, Cairo, Egypt
| | - Salama Abdou Salama
- Department of Pharmacology and Toxicology, Faculty of Pharmacy (Boys), Al-Azhar University, Cairo, Egypt
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Pengyu Z, Yan Y, Xiying F, Maoguang Y, Mo L, Yan C, Hong S, Lijuan W, Xiujuan Z, Hanqing C. The Differential Expression of Long Noncoding RNAs in Type 2 Diabetes Mellitus and Latent Autoimmune Diabetes in Adults. Int J Endocrinol 2020; 2020:9235329. [PMID: 32148491 PMCID: PMC7049833 DOI: 10.1155/2020/9235329] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/06/2019] [Accepted: 01/18/2020] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Long noncoding RNAs (lncRNAs) were previously found to be closely related to the pathogenesis of diabetes. OBJECTIVES To reveal the differentially expressed lncRNAs and messenger RNAs (mRNAs) involved in type 2 diabetes mellitus (T2DM) and latent autoimmune diabetes in adults (LADA) and predict the lncRNA target genes to derive their expression profiles for the diagnosis of T2DM and LADA and their differential diagnosis. METHODS Twelve venous blood samples were collected from T2DM patients, LADA patients, and nondiseased subjects to obtain total RNAs. After removing rRNA from total RNAs to establish the desired library for sequencing, quality control and quantification analyses were carried out. The fragments per kilobase of exon model per million reads mapped (FPKM) of lncRNAs were calculated to construct the gene expression profiles of lncRNAs and mRNAs. Fold changes (fold change: 2.0) and p values (p values (. RESULTS Compared to nondiseased controls, 68,763 versus 28,523 lncRNAs and 133 versus 1035 mRNAs were significantly upregulated and significantly downregulated, respectively, in T2DM patients. For LADA patients, 68,748 versus 28,538 lncRNAs and 219 versus 805 mRNAs were significantly upregulated and significantly downregulated, respectively, relative to nondiseased controls. Compared to T2DM patients, 74,207 versus 23,079 lncRNAs and 349 versus 137 mRNAs were significantly upregulated and significantly downregulated, respectively, in LADA patients. Based on the correlation analysis, seven lncRNA-mRNA pairs (BTG2, A2M, HECTD4, MBTPS1, DBH, FLVCR1, and NCBP2) were significantly coexpressed, and two lncRNAs (ENST00000608916 and ENST00000436373) were newly discovered. CONCLUSION Significant differences in lncRNA expression were discovered among the three groups. Furthermore, after predicting lncRNA expression profiles, GO/KEGG pathway analysis could deduce the target gene function.
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Affiliation(s)
- Zhang Pengyu
- Department of Endocrinology, The Second Hospital of Jilin University, Changchun, Jilin Province, China
| | - Yan Yan
- Department of Endocrinology, The Second Hospital of Jilin University, Changchun, Jilin Province, China
| | - Fu Xiying
- Department of Endocrinology, The Second Hospital of Jilin University, Changchun, Jilin Province, China
| | - Yang Maoguang
- Department of Endocrinology, The Second Hospital of Jilin University, Changchun, Jilin Province, China
| | - Li Mo
- Department of Endocrinology, The Second Hospital of Jilin University, Changchun, Jilin Province, China
| | - Cheng Yan
- Department of Endocrinology, The Second Hospital of Jilin University, Changchun, Jilin Province, China
| | - Shen Hong
- Department of Endocrinology, The Second Hospital of Jilin University, Changchun, Jilin Province, China
| | - Wang Lijuan
- Department of Endocrinology, The Second Hospital of Jilin University, Changchun, Jilin Province, China
| | - Zhang Xiujuan
- Department of Endocrinology, The Second Hospital of Jilin University, Changchun, Jilin Province, China
| | - Cai Hanqing
- Department of Endocrinology, The Second Hospital of Jilin University, Changchun, Jilin Province, China
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Hall KT, Loscalzo J, Kaptchuk TJ. Systems pharmacogenomics - gene, disease, drug and placebo interactions: a case study in COMT. Pharmacogenomics 2019; 20:529-551. [PMID: 31124409 PMCID: PMC6563236 DOI: 10.2217/pgs-2019-0001] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2019] [Accepted: 03/11/2019] [Indexed: 02/07/2023] Open
Abstract
Disease, drugs and the placebos used as comparators are inextricably linked in the methodology of the double-blind, randomized controlled trial. Nonetheless, pharmacogenomics, the study of how individuals respond to drugs based on genetic substrate, focuses primarily on the link between genes and drugs, while the link between genes and disease is often overlooked and the link between genes and placebos is largely ignored. Herein, we use the example of the enzyme catechol-O-methyltransferase to examine the hypothesis that genes can function as pharmacogenomic hubs across system-wide regulatory processes that, if perturbed in andomized controlled trials, can have primary and combinatorial effects on drug and placebo responses.
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Affiliation(s)
- Kathryn T Hall
- Department of Medicine, Brigham & Women’s Hospital, Boston, MA 02115, USA
- Division of Preventive Medicine, Brigham & Women’s Hospital, Boston, MA 02215, USA
- Harvard Medical School, Boston, MA 02115, USA
| | - Joseph Loscalzo
- Department of Medicine, Brigham & Women’s Hospital, Boston, MA 02115, USA
- Harvard Medical School, Boston, MA 02115, USA
| | - Ted J Kaptchuk
- Harvard Medical School, Boston, MA 02115, USA
- Program in Placebo Studies, Beth Israel Deaconess Medical Center, Boston, MA 02215, USA
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