Pharmacogenomics
Role of CYP2A6 in Methimazole Bioactivation and Hepatotoxicity
Chem Res Toxicol. 2021 Nov 17. doi: 10.1021/acs.chemrestox.1c00300. Online ahead of print.
ABSTRACT
Methimazole (MMI) is a widely used antithyroid drug, but it can cause hepatotoxicity by unknown mechanisms. Previous studies showed that the hepatic metabolism of MMI produces N-methylthiourea, leading to liver damage. However, the specific enzyme responsible for the production of the toxic metabolite N-methylthiourea is still unclear. In this study, we screened cytochromes P450 (CYPs) in N-methylthiourea production from MMI. CYP2A6 was identified as the key enzyme in catalyzing MMI metabolism to produce N-methylthiourea. When mice were pretreated with a CYP2A6 inhibitor, formation of N-methylthiourea from MMI was remarkably reduced. Consistently, the CYP2A6 inhibitor prevented MMI-induced hepatotoxicity. These results demonstrated that CYP2A6 is essential in MMI bioactivation and hepatotoxicity.
PMID:34788025 | DOI:10.1021/acs.chemrestox.1c00300
United States Emergency Department Use of Medications with Pharmacogenetic Recommendations
West J Emerg Med. 2021 Sep 23;22(6):1347-1354. doi: 10.5811/westjem.2021.5.51248.
ABSTRACT
INTRODUCTION: Emergency departments (ED) use many medications with a range of therapeutic efficacy and potential significant side effects, and many medications have dosage adjustment recommendations based on the patient's specific genotype. How frequently medications with such pharmaco-genetic recommendations are used in United States (US) EDs has not been studied.
METHODS: We conducted a cross-sectional analysis of the 2010-2015 National Hospital Ambulatory Medical Care Survey (NHAMCS). We reported the proportion of ED visits in which at least one medication with Clinical Pharmacogenetics Implementation Consortium (CPIC) recommendation of Level A or B evidence was ordered. Secondary comparisons included distributions and 95% confidence intervals of age, gender, race/ethnicity, ED disposition, geographical region, immediacy, and insurance status between all ED visits and those involving a CPIC medication.
RESULTS: From 165,155 entries representing 805,726,000 US ED visits in the 2010-2015 NHAMCS, 148,243,000 ED visits (18.4%) led to orders of CPIC medications. The most common CPIC medication was tramadol (6.3%). Visits involving CPIC medications had higher proportions of patients who were female, had private insurance and self-pay, and were discharged from the ED. They also involved lower proportions of patients with Medicare and Medicaid.
CONCLUSION: Almost one fifth of US ED visits involve a medication with a pharmacogenetic recommendation that may impact the efficacy and toxicity for individual patients. While direct application of genotyping is still in development, it is important for emergency care providers to understand and support this technology given its potential to improve individualized, patient-centered care.
PMID:34787561 | DOI:10.5811/westjem.2021.5.51248
Building an information system to facilitate pharmacogenomics clinical translation with clinical decision support
Pharmacogenomics. 2021 Nov 17. doi: 10.2217/pgs-2021-0110. Online ahead of print.
ABSTRACT
Pharmacogenomics clinical decision support (PGx-CDS) is an important tool to incorporate PGx information into existing clinical workflows and facilitate PGx clinical translation. However, due to the lack of a computable formalization to represent the primary PGx knowledge, the complexity of genomics information and the lag of current commercial electronic health record (EHR) system for precision medicine, it is difficult to develop computerized PGx-CDS. Therefore, we explored a novel approach to build an information system, named the Pharmacogenomics Clinical Translation Platform (PCTP), for PGx clinical implementation. The PCTP can represent, store, and manage the primary PGx knowledge in a structured and computable format. Moreover, it has the potential to provide various PGx-CDS services and simplify the integration of PGx-CDS into EHRs.
PMID:34787504 | DOI:10.2217/pgs-2021-0110
Head-to-head comparison of various antipsychotic agents on genome-wide methylation in schizophrenia
Pharmacogenomics. 2021 Nov 17. doi: 10.2217/pgs-2021-0113. Online ahead of print.
ABSTRACT
Aim: To explore possible differences in genome-wide methylation between schizophrenia patients who consume various antipsychotics. Methods: We compared DNA methylation in leukocytes between the following cohorts: clozapine (n = 19) versus risperidone (n = 19), clozapine (n = 12) versus olanzapine (n = 12), clozapine (n = 9) versus quetiapine (n = 9) and clozapine (n = 33) versus healthy controls (n = 33). Subjects were matched for age, sex, ethnicity, smoking status and leukocyte proportions. Results: No single CpG site reached genome-wide significance for clozapine versus risperidone/olanzapine/quetiapine. For clozapine versus quetiapine, one significantly differentially methylated region was found - ch5: 176797920-176798049 (fwer = 0.075). Clozapine versus healthy controls yielded thousands of significantly differentially methylated CpG sites. Conclusions: Establishing antipsychotic induced genome-wide methylation patterns will further elucidate the biological and clinical effects of antipsychotic administration.
PMID:34787483 | DOI:10.2217/pgs-2021-0113
Precision medicine in trauma: a transformational frontier in patient care, education, and research
Eur J Trauma Emerg Surg. 2021 Nov 16. doi: 10.1007/s00068-021-01817-7. Online ahead of print.
ABSTRACT
PURPOSE: Trauma is the leading cause of death before the age of 45 in the United States. Precision medicine (PM) is the most advanced scientific form of medical practice and seeks to gather data from the genome, environmental interactions, and lifestyles. Relating to trauma, PM promises to significantly advance our understanding of the factors that contribute to the physiologic response to injury.
METHODS: We review the status of PM-driven trauma care. Semantic-based methods were used to gather data on genetic/epigenetic variability previously linked to the principal causes of trauma-related outcomes. Data were curated to include human investigations involving genomics/epigenomics with clinical relevance identifiable early after injury.
RESULTS: Most studies relevant to genomic/epigenomic differences in trauma are specific to traumatic brain injury and injury-related sepsis. Genomic/epigenomic differences rarely encompass other relevant factors, such as coagulability and pharmacogenomics. Few studies describe clinical use of genomics/epigenomics for therapeutic intervention in trauma care, and even fewer attempt to incorporate real-time genomic/epigenomic information to precisely guide clinical decision-making.
CONCLUSION: Considering that genomics/epigenomics, environmental exposures, and lifestyles are most likely to be of significant medical relevance in advancing the field of trauma, the lack of application of concepts and methodologies from PM to trauma education, research, practice, and community wellness is underwhelming. We suggest that significant effort be given to incorporate the tools of what is becoming the "new medicine".
PMID:34786598 | DOI:10.1007/s00068-021-01817-7
Role of miRNAs as biomarkers of COVID-19: a scoping review of the status and future directions for research in this field
Biomark Med. 2021 Nov 17. doi: 10.2217/bmm-2021-0348. Online ahead of print.
ABSTRACT
Aim: miRNAs are potential biomarkers of several diseases. This review aimed to identify the miRNAs that could serve as biomarkers of COVID-19. Materials & methods: A literature search of nine databases was carried out for studies published before 13 June 2021 that described dysregulated miRNAs in cells or animals infected by SARS-CoV-2 or in patients with COVID-19. Two independent reviewers selected the studies and extracted data; disagreements were resolved by a third reviewer. Results: Twenty studies were included in this scoping review; results suggested that miR-21-5p, miR-146a, miR-126-3p, miR-144 and miR-155 are the most important dysregulated miRNAs that could serve as biomarkers for diagnosing and indicating the severity of COVID-19. miRNAs appear to play key roles in viral replication, proliferation of infected cells, immune response, inflammation and cardiovascular dysfunction. Conclusion: This review provides insights into the role of miRNAs as biomarkers in COVID-19 and the current status and future directions for research in this field.
PMID:34784802 | DOI:10.2217/bmm-2021-0348
Encountering Pharmacogenetic Test Results in the Psychiatric Clinic
Can J Psychiatry. 2021 Nov 16:7067437211058847. doi: 10.1177/07067437211058847. Online ahead of print.
NO ABSTRACT
PMID:34783587 | DOI:10.1177/07067437211058847
ATP binding cassette transporters and cancer: revisiting their controversial role
Pharmacogenomics. 2021 Nov 16. doi: 10.2217/pgs-2021-0116. Online ahead of print.
ABSTRACT
The expression of ATP-binding cassette transporter (ABC transporters) has been reported in various tissues such as the lung, liver, kidney, brain and intestine. These proteins account for the efflux of different compounds and metabolites across the membrane, thus decreasing the concentration of the toxic compounds. ABC transporter genes play a vital role in the development of multidrug resistance, which is the main obstacle that hinders the success of chemotherapy. Preclinical and clinical trials have investigated the probability of overcoming drug-associated resistance and substantial toxicities. The focus has been put on several strategies to overcome multidrug resistance. These strategies include the development of modulators that can modulate ABC transporters. This knowledge can be translated for clinical oncology treatment in the future.
PMID:34783261 | DOI:10.2217/pgs-2021-0116
Whole-exome sequencing reveals novel candidate single nucleotide variations for preventing adverse effects of levonorgestrel implantation
Pharmacogenomics. 2021 Nov 16. doi: 10.2217/pgs-2021-0105. Online ahead of print.
ABSTRACT
Aim: To identify novel genes associated with adverse effects of levonorgestrel (LNG) implants based on comparative whole-exome sequencing. Materials & methods: A cohort comprising 104 participants, including 52 controls and 52 women with LNG-related adverse effects, was recruited. Seven cases and eight controls were selected for whole-exome sequencing. We verified 13 single nucleotide variations (SNVs) related with integrin-mediated signaling pathway and cell proliferation using the MassARRAY platform. Results: Finally, we screened 49 cases and 52 controls for analyses. Two SNVs (rs7255721 and rs1042522) were located in ADAMTS10 and TP53, respectively, and significantly different between two groups. These two SNVs lead to changes in protein structure and physicochemical parameters. Conclusion: Here, we defined two pathogenic mutations related to adverse LNG effects.
PMID:34783250 | DOI:10.2217/pgs-2021-0105
Dutch Pharmacogenetics Working Group (DPWG) guideline for the gene-drug interaction between CYP2C19 and CYP2D6 and SSRIs
Eur J Hum Genet. 2021 Nov 16. doi: 10.1038/s41431-021-01004-7. Online ahead of print.
ABSTRACT
The Dutch Pharmacogenetics Working Group (DPWG) guideline presented here, presents the gene-drug interaction between the genes CYP2C19 and CYP2D6 and antidepressants of the selective serotonin reuptake inhibitor type (SSRIs). Both genes' genotypes are translated into predicted normal metabolizer (NM), intermediate metabolizer (IM), poor metabolizer (PM), or ultra-rapid metabolizer (UM). Evidence-based dose recommendations were obtained, based on a structured analysis of published literature. In CYP2C19 PM patients, escitalopram dose should not exceed 50% of the normal maximum dose. In CYP2C19 IM patients, this is 75% of the normal maximum dose. Escitalopram should be avoided in UM patients. In CYP2C19 PM patients, citalopram dose should not exceed 50% of the normal maximum dose. In CYP2C19 IM patients, this is 70% (65-75%) of the normal maximum dose. In contrast to escitalopram, no action is needed for CYP2C19 UM patients. In CYP2C19 PM patients, sertraline dose should not exceed 37.5% of the normal maximum dose. No action is needed for CYP2C19 IM and UM patients. In CYP2D6 UM patients, paroxetine should be avoided. No action is needed for CYP2D6 PM and IM patients. In addition, no action is needed for the other gene-drug combinations. Clinical effects (increase in adverse events or decrease in efficacy) were lacking for these other gene-drug combinations. DPWG classifies CYP2C19 genotyping before the start of escitalopram, citalopram, and sertraline, and CYP2D6 genotyping before the start of paroxetine as "potentially beneficial" for toxicity/effectivity predictions. This indicates that genotyping prior to treatment can be considered on an individual patient basis.
PMID:34782755 | DOI:10.1038/s41431-021-01004-7
Association of PCSK9 Variants with the Risk of Atherosclerotic Cardiovascular Disease and Variable Responses to PCSK9 Inhibitor Therapy
Curr Probl Cardiol. 2021 Nov 12:101043. doi: 10.1016/j.cpcardiol.2021.101043. Online ahead of print.
ABSTRACT
Genetic polymorphisms or variations, randomly distributed in a population, may cause drug-gene response variations. Investigation into these polymorphisms may identify novel mechanisms contributing to a specific disease process. Such investigation necessitates the use of Mendelian randomization, an analytical method that uses genetic variants as instrumental variables for modifiable risk factors that affect population health1. In the past decade, advances in our understanding of genetic polymorphisms have enabled the identification of genetic variants in candidate genes that impact low-density lipoprotein cholesterol (LDL-C) regulating pathways and cardiovascular disease (CVD) outcomes. A specific candidate gene of interest is that of the LDL receptor degrading protein, PCSK9. In fact, loss-of-function genetic variants for the PCSK9 gene are what first highlighted this pathway as a candidate for pharmacological inhibition. PCSK9 inhibitors (PCSK9i) are a class of cholesterol-lowering medications that provide significant reductions in LDL by inhibiting the degradation of LDL receptors (LDLR). These inhibitors have also been found to reduce production and enhance clearance of lipoprotein A [Lp(a)], an LDL-like particle currently under study as a separate risk factor for atherosclerotic CVD. Here, we discuss the promise of personalized medicine in developing a more efficacious and individualized pharmacogenomics-based approach for the use of PCSK9i that considers genetic variation and targets different patient populations. This review explores the pharmacogenomics of PCSK9i in the context of PCSK9 allele variants related to drug-metabolizing enzymes and responses since more studies are demonstrating that some patients are hyporesponsive or non-responsive to PCSK9i 2. In summary, the pharmacogenomics of PCSK9 are a promising therapeutic target and genetic information from prospective randomized clinical trials is warranted to gain a full understanding of the efficacy and cost-effectiveness of such allele/gene-guided PCSK9i therapy.
PMID:34780866 | DOI:10.1016/j.cpcardiol.2021.101043
DPYD polymorphisms c.496A>G, c.2194G>A and c.85T>C and risk of severe adverse drug reactions in patients treated with fluoropyrimidine-based protocols
Br J Clin Pharmacol. 2021 Nov 15. doi: 10.1111/bcp.15144. Online ahead of print.
ABSTRACT
AIM: Cancer patients with reduced dihydropyrimidine dehydrogenase (DPD) activity are at increased risk of severe fluoropyrimidine (FP)-related adverse events (AE). Guidelines recommend FP dosing adjusted to genotype-predicted DPD activity based on four DPYD variants (rs3918290, rs55886062, rs67376798, rs56038477). We evaluated relationship between three further DPYD polymorphisms [c.496A>G (rs2297595), *6 (c.2194G>A, rs1801160) and *9A (c.85T>C, rs1801265)] and the risk of severe AEs.
METHODS: Consecutive FP-treated adult patients were genotyped for "standard" and tested DPYD variants, and for UGT1A1*28 if irinotecan was included, and were monitored for the occurrence of grade ≥3 (National Cancer Institute Common Terminology Criteria) vs. grade 0-2 AEs. For each of the tested polymorphisms, variant allele carriers were matched to respective wild type controls (optimal full matching combined with exact matching, in respect to: age, sex, type of cancer, type of FP, DPYD activity score, use of irinotecan/UGT1A1, adjuvant therapy, radiotherapy, biological therapy and genotype on the remaining two tested polymorphisms).
RESULTS: Of the 503 included patients (82.3% colorectal cancer), 283 (56.3%) developed grade ≥3 AEs, mostly diarrhea and neutropenia. Odds of grade ≥3 AEs were higher in c.496A>G variant carriers (n=127) than in controls (n=376) [OR=5.20 (95%CI 1.88-14.3), Bayesian OR=5.24 (95% CrI 3.06-9.12)]. Odds tended to be higher in c.2194G>A variant carries (n=58) than in controls (n=432) [OR=1.88 (0.95-3.73), Bayesian OR=1.90 (1.03-3.56)]. c.85T>G did not appear associated with grade ≥3 AEs (206 variant carriers vs. 284 controls).
CONCLUSION: DPYD c.496A>G and possibly c.2194G>A variants might need to be considered for inclusion in the DPYD genotyping panel.
PMID:34780066 | DOI:10.1111/bcp.15144
Contributing factors common to COVID‑19 and gastrointestinal cancer
Oncol Rep. 2022 Jan;47(1):16. doi: 10.3892/or.2021.8227. Epub 2021 Nov 15.
ABSTRACT
The devastating complications of coronavirus disease 2019 (COVID‑19) result from the dysfunctional immune response of an individual following the initial severe acute respiratory syndrome coronavirus 2 (SARS‑CoV‑2) infection. Multiple toxic stressors and behaviors contribute to underlying immune system dysfunction. SARS‑CoV‑2 exploits the dysfunctional immune system to trigger a chain of events, ultimately leading to COVID‑19. The authors have previously identified a number of contributing factors (CFs) common to myriad chronic diseases. Based on these observations, it was hypothesized that there may be a significant overlap between CFs associated with COVID‑19 and gastrointestinal cancer (GIC). Thus, in the present study, a streamlined dot‑product approach was used initially to identify potential CFs that affect COVID‑19 and GIC directly (i.e., the simultaneous occurrence of CFs and disease in the same article). The nascent character of the COVID‑19 core literature (~1‑year‑old) did not allow sufficient time for the direct effects of numerous CFs on COVID‑19 to emerge from laboratory experiments and epidemiological studies. Therefore, a literature‑related discovery approach was used to augment the COVID‑19 core literature‑based 'direct impact' CFs with discovery‑based 'indirect impact' CFs [CFs were identified in the non‑COVID‑19 biomedical literature that had the same biomarker impact pattern (e.g., hyperinflammation, hypercoagulation, hypoxia, etc.) as was shown in the COVID‑19 literature]. Approximately 2,250 candidate direct impact CFs in common between GIC and COVID‑19 were identified, albeit some being variants of the same concept. As commonality proof of concept, 75 potential CFs that appeared promising were selected, and 63 overlapping COVID‑19/GIC potential/candidate CFs were validated with biological plausibility. In total, 42 of the 63 were overlapping direct impact COVID‑19/GIC CFs, and the remaining 21 were candidate GIC CFs that overlapped with indirect impact COVID‑19 CFs. On the whole, the present study demonstrates that COVID‑19 and GIC share a number of common risk/CFs, including behaviors and toxic exposures, that impair immune function. A key component of immune system health is the removal of those factors that contribute to immune system dysfunction in the first place. This requires a paradigm shift from traditional Western medicine, which often focuses on treatment, rather than prevention.
PMID:34779496 | DOI:10.3892/or.2021.8227
Machine Learning for Prediction of Stable Warfarin Dose in US Latinos and Latin Americans
Front Pharmacol. 2021 Oct 29;12:749786. doi: 10.3389/fphar.2021.749786. eCollection 2021.
ABSTRACT
Populations used to create warfarin dose prediction algorithms largely lacked participants reporting Hispanic or Latino ethnicity. While previous research suggests nonlinear modeling improves warfarin dose prediction, this research has mainly focused on populations with primarily European ancestry. We compare the accuracy of stable warfarin dose prediction using linear and nonlinear machine learning models in a large cohort enriched for US Latinos and Latin Americans (ULLA). Each model was tested using the same variables as published by the International Warfarin Pharmacogenetics Consortium (IWPC) and using an expanded set of variables including ethnicity and warfarin indication. We utilized a multiple linear regression model and three nonlinear regression models: Bayesian Additive Regression Trees, Multivariate Adaptive Regression Splines, and Support Vector Regression. We compared each model's ability to predict stable warfarin dose within 20% of actual stable dose, confirming trained models in a 30% testing dataset with 100 rounds of resampling. In all patients (n = 7,030), inclusion of additional predictor variables led to a small but significant improvement in prediction of dose relative to the IWPC algorithm (47.8 versus 46.7% in IWPC, p = 1.43 × 10-15). Nonlinear models using IWPC variables did not significantly improve prediction of dose over the linear IWPC algorithm. In ULLA patients alone (n = 1,734), IWPC performed similarly to all other linear and nonlinear pharmacogenetic algorithms. Our results reinforce the validity of IWPC in a large, ethnically diverse population and suggest that additional variables that capture warfarin dose variability may improve warfarin dose prediction algorithms.
PMID:34776967 | PMC:PMC8585774 | DOI:10.3389/fphar.2021.749786
PIK3R5 genetic predictors of hypertension induced by VEGF-pathway inhibitors
Pharmacogenomics J. 2021 Nov 13. doi: 10.1038/s41397-021-00261-5. Online ahead of print.
ABSTRACT
No biomarkers are available to predict patients at risk of developing hypertension induced by VEGF-pathway inhibitors. This study aimed to identify predictive biomarkers of hypertension induced by these drugs using a discovery-replication approach. The discovery set included 140 sorafenib-treated patients (TARGET study) genotyped for 973 SNPs in 56 genes. The most statistically significant SNPs associated with grade ≥2 hypertension were tested for association with grade ≥2 hypertension in the replication set of a GWAS of 1039 bevacizumab-treated patients from four clinical trials (CALGB/Alliance). In the discovery set, rs444904 (G > A) in PIK3R5 was associated with an increased risk of sorafenib-induced hypertension (p = 0.006, OR = 3.88 95% CI 1.54-9.81). In the replication set, rs427554 (G > A) in PIK3R5 (in complete linkage disequilibrium with rs444904) was associated with an increased risk of bevacizumab-induced hypertension (p = 0.008, OR = 1.39, 95% CI 1.09-1.78). This study identified a predictive marker of drug-induced hypertension that should be evaluated for other VEGF-pathway inhibitors.ClinicalTrials.gov Identifier:NCT00073307 (TARGET).
PMID:34775477 | DOI:10.1038/s41397-021-00261-5
Consensus of experts from the Spanish Pharmacogenetics and Pharmacogenomics Society and the Spanish Society of Medical Oncology for the genotyping of DPYD in cancer patients who are candidates for treatment with fluoropyrimidines
Clin Transl Oncol. 2021 Nov 13. doi: 10.1007/s12094-021-02708-4. Online ahead of print.
ABSTRACT
5-Fluorouracil (5-FU) and oral fluoropyrimidines, such as capecitabine, are widely used in the treatment of cancer, especially gastrointestinal tumors and breast cancer, but their administration can produce serious and even lethal toxicity. This toxicity is often related to the partial or complete deficiency of the dihydropyrimidine dehydrogenase (DPD) enzyme, which causes a reduction in clearance and a longer half-life of 5-FU. It is advisable to determine if a DPD deficiency exists before administering these drugs by genotyping DPYD gene polymorphisms. The objective of this consensus of experts, in which representatives from the Spanish Pharmacogenetics and Pharmacogenomics Society and the Spanish Society of Medical Oncology participated, is to establish clear recommendations for the implementation of genotype and/or phenotype testing for DPD deficiency in patients who are candidates to receive fluoropyrimidines. The genotyping of DPYD previous to treatment classifies individuals as normal, intermediate, or poor metabolizers. Normal metabolizers do not require changes in the initial dose, intermediate metabolizers should start treatment with fluoropyrimidines at doses reduced to 50%, and poor metabolizers are contraindicated for fluoropyrimidines.
PMID:34773566 | DOI:10.1007/s12094-021-02708-4
Upfront progression under pembrolizumab followed by a complete response after encorafenib and cetuximab treatment in BRAF V600E-mutated and microsatellite unstable metastatic colorectal cancer patient: a case report
Genes Chromosomes Cancer. 2021 Nov 13. doi: 10.1002/gcc.23012. Online ahead of print.
ABSTRACT
Two new treatments have recently become standard of care for patients with metastatic colorectal cancer (mCRC): encorafenib (BRAF inhibitor) associated with cetuximab (anti-EGFR) in the second or third line of chemotherapy for BRAF V600E tumors, and pembrolizumab (an anti PD-1 immune checkpoint inhibitor) for tumors harboring microsatellite instability (MSI)-high and/or deficient mismatch repair (dMMR). Furthermore, 30% of BRAF V600E mutated mCRC are MSI/dMMR through a sporadic hypermethylation of the promoter of hMLH1. We report here, for the first time, the case of a patient with BRAF V600E, PIK3CA and SMAD4 mutated and dMMR/MSI mCRC, in whom we observed an atypical response pattern under the sequence of pembrolizumab followed by the doublet encorafenib and cetuximab treatment. The patient was progressive after a single cycle of pembrolizumab followed by a rapid complete response after only two months of treatment with encorafenib and cetuximab, discovered during R0 cyto-reduction surgery for peritoneal carcinomatosis. This article is protected by copyright. All rights reserved.
PMID:34773327 | DOI:10.1002/gcc.23012
Kinetic Studies of Newly Patented Aminoalkanol Derivatives with Potential Anticancer Activity as Competitive Inhibitors of Prostate Acid Phosphatase
Int J Mol Sci. 2021 Oct 29;22(21):11761. doi: 10.3390/ijms222111761.
ABSTRACT
BACKGROUND: Acid phosphatase and its regulation are important objects of biological and clinical research and play an important role in the development and treatment of prostate and bone diseases. The newly patented aminoalkanol (4-[2-hydroxy-3-(propan-2-ylamino)propyl]-1,7-dimethyl-8,9-diphenyl-4-azatricyclo[5.2.1.02,6]dec-8-ene-3,5,10-trione hydrochloride) (I) and (4-[3-(dimethylamino)-2-hydroxypropyl]-1,7-dimethyl-8,9-diphenyl-4-azatricyclo[5.2.1.02,6]dec-8-ene-3,5,10-trione hydrochloride) (II) derivatives have potential anticancer activity, and their influence on enzymatic activity can significantly impact the therapeutic effects of acid phosphatase against many diseases. Therefore, in this study, we investigated the action of compounds (I) and (II) on acid phosphatase.
METHODS: Capillary electrophoresis was used to evaluate the inhibition of acid phosphatase. Lineweaver-Burk plots were constructed to compare the Km of this enzyme in the presence of inhibitors (I) or (II) with the Km in solutions without these inhibitors.
RESULTS: Compound (I) showed a stronger competitive inhibition against acid phosphatase, whereas derivative (II) showed a weaker competitive type of inhibition. The detailed kinetic studies of these compounds showed that their type and strength of inhibition as well as affinity depend on the kind of substituent occurring in the main chemical molecule.
CONCLUSIONS: This study is of great importance because the disclosed inhibition of acid phosphatase by compounds (I) and (II) raises the question of whether these compounds could have any effect on the treatment possibilities of prostate diseases.
PMID:34769193 | DOI:10.3390/ijms222111761
Vitamin B Mitigates Thoracic Aortic Dilation in Marfan Syndrome Mice by Restoring the Canonical TGF-β Pathway
Int J Mol Sci. 2021 Oct 29;22(21):11737. doi: 10.3390/ijms222111737.
ABSTRACT
Thoracic aortic aneurysm (TAA) formation is a multifactorial process that results in diverse clinical manifestations and drug responses. Identifying the critical factors and their functions in Marfan syndrome (MFS) pathogenesis is important for exploring personalized medicine for MFS. Methylenetetrahydrofolate reductase (MTHFR), methionine synthase (MTR), and methionine synthase reductase (MTRR) polymorphisms have been correlated with TAA severity in MFS patients. However, the detailed relationship between the folate-methionine cycle and MFS pathogenesis remains unclear. Fbn1C1039G/+ mice were reported to be a disease model of MFS. To study the role of the folate-methionine cycle in MFS, Fbn1C1039G/+ mice were treated orally with methionine or vitamin B mixture (VITB), including vitamins B6, B9, and B12, for 20 weeks. VITB reduced the heart rate and circumference of the ascending aorta in Fbn1C1039G/+ mice. Our data showed that the Mtr and Smad4 genes were suppressed in Fbn1C1039G/+ mice, while VITB treatment restored the expression of these genes to normal levels. Additionally, VITB restored canonical transforming-growth factor β (TGF-β) signaling and promoted Loxl1-mediated collagen maturation in aortic media. This study provides a potential method to attenuate the pathogenesis of MFS that may have a synergistic effect with drug treatments for MFS patients.
PMID:34769168 | DOI:10.3390/ijms222111737
Pharmacogenetics of Drug-Resistant Epilepsy (Review of Literature)
Int J Mol Sci. 2021 Oct 28;22(21):11696. doi: 10.3390/ijms222111696.
ABSTRACT
Pharmacogenomic studies in epilepsy are justified by the high prevalence rate of this disease and the high cost of its treatment, frequent drug resistance, different response to the drug, the possibility of using reliable methods to assess the control of seizures and side effects of antiepileptic drugs. Candidate genes encode proteins involved in pharmacokinetic processes (drug transporters, metabolizing enzymes), pharmacodynamic processes (receptors, ion channels, enzymes, regulatory proteins, secondary messengers) and drug hypersensitivity (immune factors). This article provides an overview of the literature on the influence of genetic factors on treatment in epilepsy.
PMID:34769124 | DOI:10.3390/ijms222111696