J Asthma. 2021 Mar 2:1-26. doi: 10.1080/02770903.2021.1897836. Online ahead of print.

ABSTRACT

Objective: Nonadherence to asthma medications is prevalent among adolescents and young adults (AYAs) with asthma, leading to worsened control of asthma symptoms and more frequent exacerbations. AYAs have unique developmental transitional challenges that may alter medication adherence. We aimed to use a socio-ecological framework to explore the effect of transitional challenges from adolescence to young adulthood on asthma controller medication adherence and to identify possible strategies to promote medication adherence.Methods: We conducted qualitative semi-structured interviews by phone with 7 adolescents (14 to 17 years), their respective caregivers, and 7 young adults (18 to 30 years). Participants were recruited from a respiratory clinical trial network and pulmonary clinics in 4 states at 6 different sites through convenience sampling. Interviews were audio recorded, transcribed and coded using thematic analyses.Results: Participants identified personal challenges affecting adherence to asthma medications during the transition from adolescence to young adulthood including responsibility for asthma self-management, understanding of asthma condition and severity, embarrassment, and life demands. Health systems factors including medication cost, challenges with insurance, difficulties obtaining refills, and difficulty with access to medications at school also impacted asthma medication adherence. Participants recommended adherence strategies including improved access to inhalers, incorporating asthma medications into daily routines, and using reminders.Conclusions: Focusing on the transitional challenges of AYAs during the time period from adolescence to young adulthood is necessary for supporting their asthma medication adherence and creating future interventions. Socio-ecological and systems factors should also be targeted for improved asthma medication adherence.

PMID:33653199 | DOI:10.1080/02770903.2021.1897836

Diagnostics (Basel). 2021 Feb 26;11(3):398. doi: 10.3390/diagnostics11030398.

ABSTRACT

This prospective observational study aimed to evaluate whether women with SARS-CoV-2 infection during the first trimester of pregnancy are at higher risk of noninvasive prenatal screening test alterations and/or of congenital fetal anomalies at the second-trimester fetal anatomy scan. Maternal symptoms were secondly investigated. The study was carried out on 12-week pregnant women admitted for noninvasive prenatal testing (16 April and 22 June 2020). The cohort had seromolecular tests for SARS-CoV-2, after which they were divided into a positive case group and a negative control group. Both groups had 20-week ultrasound screening. Seventeen out of the 164 women tested positive for SARS-CoV-2 (10.3%). There were no significant differences in mean nuchal translucency thickness or biochemical markers (pregnancy-associated plasma protein A, alpha-fetoprotein, human chorionic gonadotropin, unconjugated estriol) between cases and controls (p = 0.77, 0.63, 0.30, 0.40, 0.28) or in the fetal incidence of structural anomalies at the second-trimester fetal anatomy scan (p = 0.21). No pneumonia or hospital admission due to COVID-19-related symptoms were observed. Asymptomatic or mildly symptomatic SARS-CoV-2 infection during the first trimester of pregnancy did not predispose affected women to more fetal anomalies than unaffected women. COVID-19 had a favorable maternal course at the beginning of pregnancy in our healthy cohort.

PMID:33652805 | DOI:10.3390/diagnostics11030398

Clin Transl Sci. 2021 Mar 1. doi: 10.1111/cts.13014. Online ahead of print.

ABSTRACT

To compare etonogestrel pharmacokinetic and pharmacodynamic outcomes by both self-reported race/ethnicity and genetically-determined ancestry among contraceptive implant users. We conducted a secondary analysis of our parent pharmacogenomic study of 350 implant users. We genotyped these reproductive-aged (18-45 years) women for 88 ancestry-informative single nucleotide polymorphisms. We then assigned each participant a proportion value for African (AFR), European (EUR), and Indigenous American (AMR) ancestry based on reference population data. We correlated genetic ancestry with self-reported race/ethnicity and utilized genetic ancestry proportion values as variables for previously-performed association analyses with serum etonogestrel concentrations and progestin-related side effects (e.g. bothersome bleeding, subjective weight gain). We successfully estimated genetically-determined ancestry for 332 participants. EUR, AFR, and AMR ancestry were each highly correlated with self-reported White/Non-Hispanic race (r=0.64, p=4.14x10-40 ), Black/African American race (r=0.88, p=1.36x10-107 ), and Hispanic/Latina ethnicity (r=0.68, p=4.03x10-47 ), respectively. Neither genetically-determined ancestry nor self-reported race/ethnicity were significantly associated with serum etonogestrel concentrations. AFR ancestry and self-reported Black race had similar associations with reporting monthly periods (OR 2.18, p=0.09 vs OR 2.22, p=0.02) and having received treatment for bothersome bleeding (OR 5.19, p=0.005 vs OR 4.73, p=2.0x10-4 ). In multivariable logistic regression for subjective weight gain, AMR ancestry dropped out of the model in preference for self-reported Hispanic/Latina ethnicity. We found no new associations between genetically-determined ancestry and contraceptive implant pharmacodynamics/pharmacokinetics. Self-reported race/ethnicity were strong surrogates for genetically-determined ancestry among this population of contraceptive implant users. Our data suggest that self-reported race/ethnicity, capturing societal and cultural aspects, remain important to the investigation of progestin-related side effects.

PMID:33650294 | DOI:10.1111/cts.13014

Diabetologia. 2021 Mar 2. doi: 10.1007/s00125-021-05410-w. Online ahead of print.

ABSTRACT

AIMS/HYPOTHESIS: Observational studies indicate that type 2 diabetes mellitus and fasting glucose levels are associated with a greater risk for hip fracture, smaller bone area and higher bone mineral density (BMD). However, these findings may be biased by residual confounding and reverse causation. Mendelian randomisation (MR) utilises genetic variants as instruments for exposures in an attempt to address these biases. Thus, we implemented MR to determine whether fasting glucose levels in individuals without diabetes are causally associated with bone area and BMD at the total hip.

METHODS: We selected 35 SNPs strongly associated with fasting glucose (p < 5 × 10-8) in a non-diabetic European-descent population from the Meta-Analyses of Glucose and Insulin-related traits Consortium (MAGIC) (n = 133,010). MR was used to assess the associations of genetically predicted fasting glucose concentrations with total hip bone area and BMD in 4966 men and women without diabetes from the Swedish Mammography Cohort, Prospective Investigation of Vasculature in Uppsala Seniors and Uppsala Longitudinal Study of Adult Men.

RESULTS: In a meta-analysis of the three cohorts, a genetically predicted 1 mmol/l increment of fasting glucose was associated with a 2% smaller total hip bone area (-0.67 cm2 [95% CI -1.30, -0.03; p = 0.039]), yet was also associated, albeit without reaching statistical significance, with a 4% higher total hip BMD (0.040 g/cm2 [95% CI -0.00, 0.07; p = 0.060]).

CONCLUSIONS/INTERPRETATION: Fasting glucose may be a causal risk factor for smaller bone area at the hip, yet possibly for greater BMD. Further MR studies with larger sample sizes are required to corroborate these findings.

PMID:33650017 | DOI:10.1007/s00125-021-05410-w

Nat Methods. 2021 Mar 1. doi: 10.1038/s41592-021-01077-8. Online ahead of print.

ABSTRACT

The architecture of chromatin regulates eukaryotic cell states by controlling transcription factor access to sites of gene regulation. Here we describe a dual transposase-peroxidase approach, integrative DNA and protein tagging (iDAPT), which detects both DNA (iDAPT-seq) and protein (iDAPT-MS) associated with accessible regions of chromatin. In addition to direct identification of bound transcription factors, iDAPT enables the inference of their gene regulatory networks, protein interactors and regulation of chromatin accessibility. We applied iDAPT to profile the epigenomic consequences of granulocytic differentiation of acute promyelocytic leukemia, yielding previously undescribed mechanistic insights. Our findings demonstrate the power of iDAPT as a platform for studying the dynamic epigenomic landscapes and their transcription factor components associated with biological phenomena and disease.

PMID:33649590 | DOI:10.1038/s41592-021-01077-8

Pharmacogenomics J. 2021 Mar 1. doi: 10.1038/s41397-021-00227-7. Online ahead of print.

ABSTRACT

Taxanes are used in the treatment of several solid tumours. Adverse events (AEs) might be influenced by single nucleotide polymorphisms (SNPs) in genes encoding proteins responsible for pharmacokinetic and pharmacodynamic. In this prospective, monocentric, observational study we explored the effect of SNPs in the main genes involved in taxanes metabolism and transport, on toxicity and efficacy in 125 patients (pts) treated with paclitaxel, nab-paclitaxel, or docetaxel for neoplasms. There was no statistically significant association between the investigated SNPs and AEs. The heterozygous genotype of CYP3A4*22 showed a trend of association with skin reactions in pts treated with paclitaxel and nab-paclitaxel (RR = 6.92; 95% CI 0.47, 99.8; p = 0.0766). CYP2C8*3/*4 variant carriers showed a trend of association with overall AEs in pts treated with paclitaxel and nab-paclitaxel (RR = 1.28; 95% CI 0.96, 1.67; p = 0.0898). No statistically significant relationship with treatment efficacy was found. ABCB1 3435TT showed a trend of association with a higher treatment response (RR = 0.22; 95% CI 0.03, 1.51; p = 0.0876). Despite the population was heterogeneous, CYP3A4*22 and CYP2C8 SNPs may influence paclitaxel and nab-paclitaxel toxicity and ABCB1 c.3435 may affect taxanes effectiveness, even if any statistically significant was found.

PMID:33649523 | DOI:10.1038/s41397-021-00227-7

Pharmacogenomics J. 2021 Mar 1. doi: 10.1038/s41397-021-00221-z. Online ahead of print.

ABSTRACT

We sought to perform a genomic evaluation of the risk of incident cancer in statin users, free of cancer at study entry. Patients who previously participated in two phase IV trials (TNT and IDEAL) with genetic data were used (npooled = 11,196). A GWAS meta-analysis using Cox modeling for the prediction of incident cancer was conducted in the pooled cohort and sex-stratified. rs13210472 (near HLA-DOA gene) was associated with higher risk of incident cancer amongst women with prevalent coronary artery disease (CAD) taking statins (hazard ratio [HR]: 2.66, 95% confidence interval [CI]: 1.88-3.76, P = 3.5 × 10-8). Using the UK Biobank and focusing exclusively on women statin users with CAD (nfemale = 2952), rs13210472 remained significantly associated with incident cancer (HR: 1.71, 95% CI: 1.14-2.56, P = 9.0 × 10-3). The association was not observed in non-statin users. In this genetic meta-analysis, we have identified a variant in women statin users with prevalent CAD that was associated with incident cancer, possibly implicating the human leukocyte antigen pathway.

PMID:33649522 | DOI:10.1038/s41397-021-00221-z

Pharmacogenomics J. 2021 Mar 1. doi: 10.1038/s41397-021-00223-x. Online ahead of print.

ABSTRACT

This study aimed to develop a population pharmacokinetic model using full pharmacokinetic (PK) profiles of isoniazid (INH) taking into account demographic and genetic covariates and to develop Bayesian estimators for predicting INH area under the curve (AUC) in Tunisian tuberculosis patients. The INH concentrations in the building data set were fitted using a one- to three-compartment model. The impact of the different covariates was assessed on the PK parameters of the best model. The best limited sampling strategy (LSS) for estimating the INH AUC was selected by comparing the predicted values to an independent data set. INH PK was best described using a three-compartment model with lag-time absorption. The different studied covariates did not have any impact on the PK parameters of the building model. The Bayesian estimation using one-point concentrations gave the lowest values of prediction errors for the C3 LSS model. This model could be sufficient in routine activity for INH monitoring in this population.

PMID:33649521 | DOI:10.1038/s41397-021-00223-x

Pharmacogenomics J. 2021 Mar 1. doi: 10.1038/s41397-021-00214-y. Online ahead of print.

ABSTRACT

We compared a standard antihypertensive losartan treatment with a pharmacogenomics-guided rostafuroxin treatment in never-treated Caucasian and Chinese patients with primary hypertension. Rostafuroxin is a digitoxigenin derivative that selectively disrupts the binding to the cSrc-SH2 domain of mutant α-adducin and of the ouabain-activated Na-K pump at 10-11 M. Of 902 patients screened, 172 were enrolled in Italy and 107 in Taiwan. After stratification for country and genetic background, patients were randomized to rostafuroxin or losartan, being the difference in the fall in office systolic blood pressure (OSBP) after 2-month treatment the primary endpoint. Three pharmacogenomic profiles (P) were examined, considering: P1, adding to the gene variants included in the subsequent P2, the variants detected by post-hoc analysis of a previous trial; P2, variants of genes encoding enzymes for endogenous ouabain (EO) synthesis (LSS and HSD3B1), EO transport (MDR1/ABCB1), adducin (ADD1 and ADD3); P3, variants of the LSS gene only. In Caucasians, the group differences (rostafuroxin 50 μg minus losartan 50 mg in OSBP mmHg) were significant both in P2 adjusted for genetic heterogeneity (P2a) and P3 LSS rs2254524 AA [9.8 (0.6-19.0), P = 0.038 and 13.4 (25.4-2.5), P = 0.031, respectively]. In human H295R cells transfected with LSS A and LSS C variants, the EO production was greater in the former (P = 0.038); this difference was abolished by rostafuroxin at 10-11 M. Chinese patients had a similar drop in OSBP to Caucasians with losartan but no change in OSBP with rostafuroxin. These results show that genetics may guide drug treatment for primary hypertension in Caucasians.

PMID:33649520 | DOI:10.1038/s41397-021-00214-y

Pharmacogenomics J. 2021 Mar 1. doi: 10.1038/s41397-021-00222-y. Online ahead of print.

ABSTRACT

BACKGROUND: Filamin A and filamin B were involved in vascular development and remodeling. Herein, it is important to explore the associations of FLNA and FLNB variants with hypertension and stroke.

METHODS: The associations of two single-nucleotide polymorphisms (SNPs) at FLNA and five SNPs at FLNB with hypertension and stroke were examined in two case-control studies and a cohort study in Chinese Han population. Risks were estimated as odds ratio (OR) and hazard ratio (HR) by Logistic and Cox regression analysis respectively. In addition, filamin B, FLNA and FLNB mRNA expression were measured.

RESULTS: In the case-control study of hypertension, FLNA rs2070816 (CT + TT vs. CC) and rs2070829 (CG + GG vs. CC) were significantly associated with hypertension in <55 years group (OR = 1.338, P = 0.018; OR = 1.615, P = 0.005) and FLNB rs839240 (AG + GG vs. AA) was significantly associated with hypertension in females (OR = 0.828, P = 0.041) and nonsmokers (OR = 0.829, P = 0.020). In the follow-up study, rs2070829 GG genotype carriers presented a higher risk of hypertension than CC/CG in males (HR = 1.737, P = 0.014) and smokers (HR = 1.949, P = 0.012). In the case-control study of stroke, FLNB rs1131356 variation was significantly associated with ischemic stroke (IS) and intracerebral hemorrhage (ICH), ORs of additive model were 1.342 and 1.451, with P values of 0.001 and 0.007. The FLNA transcript 2, FLNB transcript 3, transcript 4 mRNA, and filamin B expression levels were significantly different between IS cases and hypertension controls and among the genotypes of rs839240 in hypertensive individuals (P < 0.05).

CONCLUSIONS: Our findings support the genetic contribution of FLNA and FLNB to hypertension, and stroke with differentially mRNA expression.

PMID:33649519 | DOI:10.1038/s41397-021-00222-y

Pharmacogenomics J. 2021 Mar 1. doi: 10.1038/s41397-021-00215-x. Online ahead of print.

ABSTRACT

Sodium valproate (VPA) is a histone deacetylase (HDAC) inhibitor, widely prescribed in the treatment of bipolar disorder, and yet the precise modes of therapeutic action for this drug are not fully understood. After exposure of the rat serotonergic cell line RN46A to VPA, RNA-sequencing (RNA-Seq) analysis showed widespread changes in gene expression. Analysis by four bioinformatic pipelines revealed as many as 230 genes were significantly upregulated and 72 genes were significantly downregulated. A subset of 23 differentially expressed genes was selected for validation using the nCounter® platform, and of these we obtained robust validation for ADAM23, LSP1, MAOB, MMP13, PAK3, SERPINB2, SNAP91, WNT6, and ZCCHC12. We investigated the effect of lithium on this subset and found four genes, CDKN1C, LSP1, SERPINB2, and WNT6 co-regulated by lithium and VPA. We also explored the effects of other HDAC inhibitors and the VPA analogue valpromide on the subset of 23 selected genes. Expression of eight of these genes, CDKN1C, MAOB, MMP13, NGFR, SHANK3, VGF, WNT6 and ZCCHC12, was modified by HDAC inhibition, whereas others did not appear to respond to several HDAC inhibitors tested. These results suggest VPA may regulate genes through both HDAC-dependent and independent mechanisms. Understanding the broader gene regulatory effects of VPA in this serotonergic cell model should provide insights into how this drug works and whether other HDAC inhibitor compounds may have similar gene regulatory effects, as well as highlighting molecular processes that may underlie regulation of mood.

PMID:33649518 | DOI:10.1038/s41397-021-00215-x

Pharmacogenomics J. 2021 Mar 1. doi: 10.1038/s41397-021-00213-z. Online ahead of print.

ABSTRACT

The anticancer drug docetaxel exhibits large interpatient pharmacokinetic and pharmacodynamic variability. In this study, we aimed to assess the functional significance of 14 polymorphisms in the CYP3A, CYP1B1, ABCB1, ABCC2, and SLCO1B3 genes for the pharmacokinetics and pharmacodynamics of oral docetaxel, co-administered with ritonavir. None of the tested CYP3A, ABCB1, ABCC2, and SLCO1B3 genotypes and diplotypes showed a significant relation with an altered bioavailability or clearance of either docetaxel or ritonavir. Similarly, no clear effect of CYP1B1 genotype on clinical outcomes was observed in a subgroup of non-small cell lung cancer (NSCLC) patients. Our post hoc power analysis indicated that our pharmacogenetic-pharmacokinetic analysis was only powered for relatively high effect sizes, which were to be expected given the high interpatient variability. This makes it unlikely that future studies will explain the high observed interpatient variability in oral docetaxel pharmacokinetics as a result of any of these separate polymorphisms and diplotypes.

PMID:33649517 | DOI:10.1038/s41397-021-00213-z

Pharmacogenomics J. 2021 Mar 1. doi: 10.1038/s41397-021-00220-0. Online ahead of print.

ABSTRACT

Missense polymorphism in HSD3B1, encoding 3β-hydroxysteroid dehydrogenase-1, was associated with outcome after abiraterone treatment. Other androgen-metabolizing enzymes may be involved in therapeutic effect in abiraterone. In this study, we investigated the significance of polymorphisms in genes involved in androgen and abiraterone metabolisms in prostate cancer patients treated with abiraterone. A total of 99 Japanese male castration-resistant prostate cancer patients treated with abiraterone between 2014 and 2018 were included. Genomic DNA was obtained from whole blood samples, and genotyping on SRD5A2 (rs523349), CYP17A1 (rs743572), CYP17A1 (rs2486758), and AKR1C3 (rs12529) was performed by PCR-based technique. Among the 99 patients, 32 (32.3%), 49 (49.5%), and 18 patients (18.2%) carried GG, GC, and CC alleles in SRD5A2, respectively. CC allele was associated with lower risk of treatment failure (hazard ratio, 0.43; 95% confidence interval, 0.20-0.87; P = 0.017) on multivariate analyses, compared with GG/GC alleles. In the combination model using HSD3B1 and SRD5A2 polymorphisms, compared with the combination of AA in HSD3B1 and GG/GC in SRD5A2, other combinations were associated with lower risk of treatment failure (hazard ratio, 0.34; 95% confidence interval, 0.17-0.62; P = 0.0003) on multivariate analyses. This study showed that SRD5A2 genetic variation was associated with the risk of treatment failure in abiraterone. Combinational use of genetic variation in HSD3B1 with SRD5A2 genetic variation augmented the ability of prognostic stratification.

PMID:33649516 | DOI:10.1038/s41397-021-00220-0

Pharmacogenomics J. 2021 Mar 1. doi: 10.1038/s41397-021-00216-w. Online ahead of print.

ABSTRACT

The aim of this study was to identify novel genetic variants affecting tacrolimus trough blood concentrations. We analyzed the association between 58 single nucleotide polymorphisms (SNPs) across the CYP3A gene cluster and the log-transformed tacrolimus concentration/dose ratio (log (C0/D)) in 819 renal transplant recipients (Discovery cohort). Multivariate linear regression was used to test for associations between tacrolimus log (C0/D) and clinical factors. Luciferase reporter gene assays were used to evaluate the functions of select SNPs. Associations of putative functional SNPs with log (C0/D) were further tested in 631 renal transplant recipients (Replication cohort). Nine SNPs were significantly associated with tacrolimus log (C0/D) after adjustment for CYP3A5*3 and clinical factors. Dual luciferase reporter assays indicated that the rs4646450 G allele and rs3823812 T allele were significantly associated with increased normalized luciferase activity ratios (p < 0.01). Moreover, CYP3A7*2 was associated with higher TAC log(C0/D) in the group of CYP3A5 expressers. Age, serum creatinine and hematocrit were significantly associated with tacrolimus log (C0/D). CYP3A7*2, rs4646450, and rs3823812 are proposed as functional SNPs affecting tacrolimus trough blood concentrations in Chinese renal transplant recipients. Clinical factors also significantly affect tacrolimus metabolism.

PMID:33649515 | DOI:10.1038/s41397-021-00216-w

Pharmacogenomics J. 2021 Mar 1. doi: 10.1038/s41397-021-00218-8. Online ahead of print.

ABSTRACT

Reduced clopidogrel effectiveness in preventing recurrent myocardial ischemia following percutaneous coronary intervention has been demonstrated in CYP2C19 loss-of-function carriers. Less is known about the effect of CYP2C19 genotype on the effectiveness of clopidogrel for stroke prevention, particularly in Caucasians. This is a retrospective cohort study, in which we used the Clalit clinical database to follow genotyped clopidogrel initiators, for up to 3 years. Endpoint was a new primary discharge diagnosis of ischemic stroke; secondary endpoints were new primary discharge diagnoses of coronary angioplasty, myocardial infarction (MI), or a composite endpoint of: stroke, MI, or coronary angioplasty. After 3 years of follow up over 628 clopidogrel initiators, 2 out of 12 (16.7%) poor metabolizers, 9 out of 144 intermediate metabolizers (6.3%), and 29 out of 472 (6.1%) normal/rapid/ultrarapid metabolizers have been newly diagnosed with ischemic stroke. Poor metabolizer status was associated with higher risk for ischemic stroke, marginally significant in univariate analysis and in multivariable models; and higher risk for the composite outcome of stroke, myocardial infarction and coronary angioplasty, HR = 3.32 (1.35-8.17) p = 0.009, 2.86 (1.16-7.06) p = 0.02 (univariate and multivariate analyses, respectively). Poor metabolizer status was associated with higher risk for stroke HR = 5.80 (1.33-25.24) p = 0.019, HR = 4.13 (0.94-18.13) p = 0.06 (univariate and multivariate analyses, respectively) in patients who "survived" the first year, and were in the cohort 1-3 years. Caucasian treated with clopidogrel who are homozygote for the CYP2C19 loss-of function allele might be at increased risk for ischemic stroke, and for the composite outcome of ischemic stroke, myocardial infarction and coronary angioplasty.

PMID:33649514 | DOI:10.1038/s41397-021-00218-8

Rev Colomb Psiquiatr. 2021 Jan-Mar;50(1):57-63. doi: 10.1016/j.rcp.2018.10.005. Epub 2018 Dec 17.

ABSTRACT

This paper is the result of research, from the bioethics and bio-legal perspectives, on the existing guidelines in Colombia for the handling of pharmacogenomic and pharmacogenetic tests in clinical trials. Colombian legislation on this kind of research was reviewed and then compared with international and supranational standards. It was found that Colombia lacks specific legislation in this area, a situation that puts both participants and researchers at risk, from bioethical and legal perspectives. These risks should not be underestimated, as they compromise the ethical viability of clinical and basic research in our setting. In the end, a proposal, based on principles of ethics is made, proposing a series of actions for the creation and promotion nationwide of guidelines which can be used to shape legislation to be applied to protect the genetic data and the rights of subjects participating in these types of research studies in Colombia.

PMID:33648699 | DOI:10.1016/j.rcp.2018.10.005

OMICS. 2021 Mar 1. doi: 10.1089/omi.2020.0230. Online ahead of print.

ABSTRACT

The increasing incorporation of genomics in clinical practice underscores the need to improve genomics knowledge and familiarity among future health care providers. To this end, it is important to consider both the "push" and the "pull" factors that shape or determine the transition of new personalized medicine (PM) discoveries to clinical practice. One of the pull factors involves the attitudes, values, and education of the user communities such as patients, physicians, and scientists who are poised to use the PM diagnostics. Among the push factors are often health scientists who contribute to PM science and development efforts. Seen in this light, health sciences trainees represent both the push and pull factors, not to mention the next generation of stakeholders and innovation actors who will make PM a reality in mainstream medical practice in the future. Τhis study aimed at investigating and comparing awareness and attitudes (ethical and other) on pharmacogenomics (PGx) and PM adoption among undergraduate students from the school of health sciences and other students. A convenience sample was used in this survey in two groups of students: 205 students from the School of Health Sciences and 141 students from other schools (e.g., biology, computer engineering, and business administration) of the University of Patras, Greece, and mostly at undergraduate education level. We observed that despite the relatively low level of awareness about genetics, PGx, and relevant notions, both groups of students were very optimistic about the genetic testing usefulness and professed their positive anticipations about PGx on disease management. Thus, health sciences students and those in other faculties appeared to be avid proponents of genetics testing and in favor of public endorsement of the concepts of individually tailored medicine. This case study in Greece is one of the first studies on perceptions and attitudes toward PGx testing and PM in Southern Europe. Of importance, the study informs the prospects and challenges on the push and pull factors of PM innovation while offering potential lessons for future PM curriculum needs in health sciences in other countries in Europe.

PMID:33646050 | DOI:10.1089/omi.2020.0230

Gen Psychiatr. 2021 Feb 8;34(1):e100289. doi: 10.1136/gpsych-2020-100289. eCollection 2021.

ABSTRACT

BACKGROUND: Atypical antipsychotics as first-line drugs have been used in patients with schizophrenia in China and abroad. However, its safety still needs to be evaluated in a large population, especially in Chinese patients.

OBJECTIVE: The main objective of this study is to evaluate the safety and related factors of long-term atypical antipsychotic use in patients with schizophrenia in China. The secondary objective includes the long-term efficacy of atypical antipsychotics in these patients, as well as pharmacoeconomic evaluation, population pharmacokinetic studies and pharmacogenomics studies.

METHODS: This study has an observational design. The atypical antipsychotics include quetiapine, olanzapine, risperidone, aripiprazole, ziprasidone, paliperidone, amisulpride, perospirone and clozapine. Visits occur at 0, 4, 8, 13, 26, 52, 78, 104, 130 and 156 weeks. The efficacy evaluations include symptoms, social function, recurrence rate and hospitalisation. The safety measures include physical examination, vital signs, abdominal circumference, laboratory tests (such as blood cell analysis, blood biochemical tests and serum prolactin/thyroxine levels), 12-lead ECG, extrapyramidal syndrome assessment, sexual function evaluation, medication and other adverse events. The secondary measures include the Positive and Negative Syndrome Scale, Clinical Global Impression-Severity of Illness Scale, Calgary Depression Scale for Schizophrenia, Personal and Social Performance Scale, relapse rate, drug consolidation, medical-related expenses, income, drug plasma concentration and genetic information.

RESULTS: This is a large sample, non-interventional and long-term prospective clinical study designed to truly reflect the specific details of clinical practice, fully respect patients' needs, and understand patients' treatment intentions and actual treatment details.

CONCLUSIONS: This research method details the aims, methods, study design, strengths and limitations of the study.

PMID:33644688 | PMC:PMC7871676 | DOI:10.1136/gpsych-2020-100289

ACS Omega. 2021 Feb 10;6(7):4551-4561. doi: 10.1021/acsomega.0c04394. eCollection 2021 Feb 23.

ABSTRACT

Ferulic acid, a hydroxycinnamic acid, is abundant in vegetables, grains, and medicinal plants. Emerging evidence suggests that ferulic acid may exert beneficial effects against colorectal cancer. However, the anticancer activity of ferulic acid is relatively low, and its metabolism after oral administration is largely unknown. In this study, mimicking the enteric environment, human intestinal microflora and commercial probiotics were used to metabolize ferulic acid to its metabolites, and their anticancer activities were evaluated. Ferulic acid can be biotransformed to 4-vinylguaiacol (2-methoxy-4-vinylphenol), and the contents of ferulic acid and 4-vinylguaiacol in bio-transformed extracts were determined by high-performance liquid chromatography (HPLC). Using the chemotherapy-sensitive cell line HCT-116 and the chemo-resistant cell line HT-29, the cell proliferation was determined by the modified trichrome stain assay. The cell cycle and induction of apoptosis were assayed using flow cytometry. HPLC data showed that there was a marked transformation from ferulic acid to 4-vinylguaiacol, and the conversion rates of intestinal microflora and four probiotics were from 1.3 to 36.8%. Both ferulic acid and 4-vinylguaiacol possessed dose- and time-related anticancer activities on the two cell lines, while 4-vinylguaiacol showed more potent effects than ferulic acid. Interestingly, 4-vinylguaiacol exhibited significantly higher antiproliferative effects on the HT-29 cell line than that on HCT-116. The IC50 of the metabolite 4-vinylguaiacol on HT-29 cells was 350 μM, 3.7-fold higher than its parent compound. The potential of cancer cell growth inhibition of 4-vinylguaiacol was mediated by cell cycle arrest at the G1 phase and induction of apoptosis. Data from this study indicate that the oral administration of ferulic acid offers a promising approach to increase its anticancer activity through gut microbial conversion to 4-vinylguaiacol, and the biotransformation could also be achieved by selected commercial probiotics. 4-Vinylguaiacol is a potential anticancer metabolite from ferulic acid for chemotherapy-resistant colon cancer cells.

PMID:33644563 | PMC:PMC7905800 | DOI:10.1021/acsomega.0c04394

Data Brief. 2021 Feb 3;35:106832. doi: 10.1016/j.dib.2021.106832. eCollection 2021 Apr.

ABSTRACT

Here we describe the dataset of the first report of pharmacogenomics profiling in an outpatient spine setting with the primary aims to catalog: 1) the genes, alleles, and associated rs Numbers (accession numbers for specific single-nucleotide polymorphisms) analysed and 2) the genotypes and corresponding phenotypes of the genes involved in metabolizing 37 commonly used analgesic medications. The present description applies to analgesic medication-metabolizing enzymes and may be especially valuable to investigators who are exploring strategies to optimize pharmacologic pain management (e.g., by tailoring analgesic regimens to the genetically identified sensitivities of the patient). Buccal swabs were used to acquire tissue samples of 30 adult patients who presented to an outpatient spine clinic with the chief concern of axial neck and/or back pain. Array-based assays were then used to detect the alleles of genes involved in the metabolism of pain medications, including all common (wild type) and most rare variant alleles with known clinical significance. Both CYP450 isozymes - including CYP1A2, CYP2B6, CYP2C9, CYP2C19, CYP2D6, CYP3A4, and CYP3A5 - and the phase II enzyme UDP-glucuronosyltransferase-2B7 (UGT2B7) were examined. Genotypes/phenotypes were then used to evaluate each patient's relative ability to metabolize 37 commonly used analgesic medications. These medications included both non-opioid analgesics (i.e., aspirin, diclofenac, nabumetone, indomethacin, meloxicam, piroxicam, tenoxicam, lornoxicam, celecoxib, ibuprofen, flurbiprofen, ketoprofen, fenoprofen, naproxen, and mefenamic acid) and opioid analgesics (i.e., morphine, codeine, dihydrocodeine, ethylmorphine, hydrocodone, hydromorphone, oxycodone, oxymorphone, alfentanil, fentanyl, sufentanil, meperidine, ketobemidone, dextropropoxyphene, levacetylmethadol, loperamide, methadone, buprenorphine, dextromethorphan, tramadol, tapentadol, and tilidine). The genes, alleles, and associated rs Numbers that were analysed are provided. Also provided are: 1) the genotypes and corresponding phenotypes of the genes involved in metabolizing 37 commonly used analgesic medications and 2) the mechanisms of metabolism of the analgesic medications by primary and ancillary pathways. In supplemental spreadsheets, the raw and analysed pharmacogenomics data for all 30 patients evaluated in the primary research article are additionally provided. Collectively, the presented data offer significant reuse potential in future investigations of pharmacogenomics for pain management.

PMID:33644270 | PMC:PMC7893444 | DOI:10.1016/j.dib.2021.106832