JAMA Netw Open. 2024 Feb 5;7(2):e2355707. doi: 10.1001/jamanetworkopen.2023.55707.

ABSTRACT

IMPORTANCE: There are an increasing number of medications with a high level of evidence for pharmacogenetic-guided dosing (PGx drugs). Knowledge of the prevalence of dispensings of PGx drugs and their associated genes may allow hospitals and clinical laboratories to determine which pharmacogenetic tests to implement.

OBJECTIVES: To investigate the prevalence of outpatient dispensings of PGx drugs among Medicaid-insured youths, determine genes most frequently associated with PGx drug dispenses, and describe characteristics of youths who were dispensed at least 1 PGx drug.

DESIGN, SETTING, AND PARTICIPANTS: This serial cross-sectional study includes data from 2011 to 2019 among youths aged 0 to 17 years in the Marketscan Medicaid database. Data were analyzed from August to December 2022.

MAIN OUTCOMES AND MEASURES: PGx drugs were defined as any medication with level A evidence as determined by the Clinical Pharmacogenetics Implementation Consortium (CPIC). The number of unique youths dispensed each PGx drug in each year was determined. PGx drugs were grouped by their associated genes for which there was CPIC level A evidence to guide dosing, and a dispensing rate (No. of PGx drugs/100 000 youths) was determined for each group for the year 2019. Demographics were compared between youths dispensed at least 1 PGx drug and those not dispensed any PGx drugs.

RESULTS: The number of Medicaid-insured youths queried ranged by year from 2 078 683 youths in 2011 to 4 641 494 youths in 2017, including 4 126 349 youths (median [IQR] age, 9 [5-13] years; 2 129 926 males [51.6%]) in 2019. The proportion of Medicaid-insured youths dispensed PGx drugs increased from 289 709 youths (13.9%; 95% CI, 13.8%-14.0%) in 2011 to 740 072 youths (17.9%; 95% CI, 17.9%-18.0%) in 2019. Genes associated with the most frequently dispensed medications were CYP2C9, CYP2D6, and CYP2C19 (9197.0 drugs [95% CI, 9167.7-9226.3 drugs], 8731.5 drugs [95% CI, 8702.5-8759.5 drugs], and 3426.8 drugs [95% CI, 3408.1-3443.9 drugs] per 100 000 youths, respectively). There was a higher percentage of youths with at least 1 chronic medical condition among youths dispensed at least 1 PGx drug (510 445 youths [69.0%; 95% CI, 68.8%-69.1%]) than among 3 386 277 youths dispensed no PGx drug (1 381 544 youths [40.8%; 95% CI, 40.7%-40.9%) (P < .001) in 2019.

CONCLUSIONS AND RELEVANCE: In this study, there was an increasing prevalence of dispensings for PGx drugs. This finding suggests that pharmacogenetic testing of specific drug-gene pairs should be considered for frequently prescribed PGx drugs and their implicated genes.

PMID:38349656 | PMC:PMC10865156 | DOI:10.1001/jamanetworkopen.2023.55707

Maedica (Bucur). 2023 Dec;18(4):672-678. doi: 10.26574/maedica.2023.18.4.672.

ABSTRACT

Background: Platelet-rich fibrin is a second-generation platelet concentrate. It is rich in platelets, cytokines, growth factors and leukocytes. Compared to platelet-rich plasma, it releases growth factors for a more extended amount of time. Methods:A literature review was conducted on the applications of platelet-rich fibrin in otolaryngology. Only articles written in English were further considered for the study; all others were excluded. Also, articles relating to oral and maxillofacial surgery were removed. Results: Twenty-five studies were deemed appropriate for inclusion in the present review. Conclusion:Based on the current data, platelet-rich fibrin appears to be a safe, healing-promoting material. It is a cost-effective, autologous material with enormous therapeutic application potential in the future. However, further clinical research is required before conclusive conclusions can be drawn about its usefulness.

PMID:38348084 | PMC:PMC10859196 | DOI:10.26574/maedica.2023.18.4.672

Transl Psychiatry. 2024 Feb 12;14(1):91. doi: 10.1038/s41398-024-02809-y.

ABSTRACT

Pharmacogenomics aims to use the genetic information of an individual to personalize drug prescribing. There is evidence that pharmacogenomic testing before prescription may prevent adverse drug reactions, increase efficacy, and reduce cost of treatment. CYP2D6 is a key pharmacogene of relevance to multiple therapeutic areas. Indeed, there are prescribing guidelines available for medications based on CYP2D6 enzyme activity as deduced from CYP2D6 genetic data. The Agena MassARRAY system is a cost-effective method of detecting genetic variation that has been clinically applied to other genes. However, its clinical application to CYP2D6 has to date been limited by weaknesses such as the inability to determine which haplotype was present in more than one copy for individuals with more than two copies of the CYP2D6 gene. We report application of a new protocol for CYP2D6 haplotype phasing of data generated from the Agena MassARRAY system. For samples with more than two copies of the CYP2D6 gene for which the prior consensus data specified which one was present in more than one copy, our protocol was able to conduct CYP2D6 haplotype phasing resulting in 100% concordance with the prior data. In addition, for three reference samples known to have more than two copies of CYP2D6 but for which the exact number of CYP2D6 genes was unknown, our protocol was able to resolve the number for two out of the three of these, and estimate the likely number for the third. Finally, we demonstrate that our method is applicable to CYP2D6 hybrid tandem configurations.

PMID:38346976 | PMC:PMC10861455 | DOI:10.1038/s41398-024-02809-y

Expert Rev Clin Pharmacol. 2024 Feb 12:1-10. doi: 10.1080/17512433.2024.2312256. Online ahead of print.

ABSTRACT

INTRODUCTION: Tyrosine kinase inhibitors (TKIs) have revolutionized survival rates of chronic myeloid leukemia (CML) and Philadelphia chromosome positive (Ph+) acute lymphoblastic leukemia (ALL) and replaced hematopoietic stem cell transplantation (hSCT) as the key treatment option for these patients. More recently, the so-called Philadelphia chromosome-like (Ph-like) ALL has similarly benefitted from TKIs. However, many patients shift from the first generation TKI, imatinib, due to treatment-related toxicities or lack of treatment efficacy. A more personalized approach to TKI treatment could counteract these challenges and potentially be more cost-effective. Therapeutic drug monitoring (TDM) has led to higher response rates and less treatment-related toxicity in adult CML but is rarely used in ALL or in childhood CML.

AREAS COVERED: This review summarizes different antileukemic treatment indications for TKIs with focus on imatinib and its pharmacokinetic/-dynamic properties as well as opportunities and pitfalls of TDM for imatinib treatment in relation to pharmacogenetics and co-medication for pediatric and adult Ph+/Ph-like leukemias.

EXPERT OPINION: TDM of imatinib adds value to standard monitoring of ABL-class leukemia by uncovering non-adherence and potentially mitigating adverse effects. Clinically implementable pharmacokinetic/-dynamic models adjusted for relevant pharmacogenetics could improve individual dosing. Prospective trials of TDM-based treatments, including both children and adults, are needed.

PMID:38345044 | DOI:10.1080/17512433.2024.2312256

Cureus. 2024 Jan 11;16(1):e52102. doi: 10.7759/cureus.52102. eCollection 2024 Jan.

ABSTRACT

In an era marked by increasing awareness of the detrimental effects of smoking on our health, the efficacy of smoking cessation strategies is of great significance. Numerous studies have demonstrated the effectiveness and success rates of various pharmacological and behavioral interventions, and different strategies have been proposed to optimize successful implementation. As we battle the global tobacco epidemic, it is important to better understand how to support individuals looking toward a smoke-free life. This review commences by highlighting the burden of smoking as a public health concern, exploring various smoking cessation interventions, and assessing their effectiveness and success rates. Our attention then shifts toward strategies for putting these interventions into action while highlighting challenges in implementation, ranging from individual to socioeconomic factors. Furthermore, this review sheds light on the need to tailor interventions to suit diverse populations, taking varying individual characteristics into account. We conclude this review by discussing future directions and emerging trends, considering the roles modern technology and policies can play in aiding smoking cessation.

PMID:38344627 | PMC:PMC10858725 | DOI:10.7759/cureus.52102

J Intern Med. 2024 Feb 11. doi: 10.1111/joim.13772. Online ahead of print.

ABSTRACT

Pharmacogenomics is the examination of how genetic variation influences drug metabolism and response, in terms of both efficacy and safety. In cardiovascular disease, patient-specific diplotypes determine phenotypes, thereby influencing the efficacy and safety of drug treatments, including statins, antiarrhythmics, anticoagulants and antiplatelets. Notably, polymorphisms in key genes, such as CYP2C9, CYP2C19, VKORC1 and SLCO1B1, significantly impact the outcomes of treatment with clopidogrel, warfarin and simvastatin. Furthermore, the CYP2C19 polymorphism influences the pharmacokinetics and safety of the novel hypertrophic cardiomyopathy inhibitor, mavacamten. In this review, we critically assess the clinical application of pharmacogenomics in cardiovascular disease and delineate present and future utilization of pharmacogenomics. This includes insights into identifying missing heritability, the integration of whole genome sequencing and the application of polygenic risk scores to enhance the precision of personalized drug therapy. Our discussion encompasses health economic analyses that underscore the cost benefits associated with pre-emptive genotyping for warfarin and clopidogrel treatments, albeit acknowledging the need for further research in this area. In summary, we contend that cardiovascular pharmacogenomic analyses are underpinned by a wealth of evidence, and implementation is already occurring for some of these gene-drug pairs, but as with any area of medicine, we need to continually gather more information to optimize the use of pharmacogenomics in clinical practice.

PMID:38343077 | DOI:10.1111/joim.13772

Biochim Biophys Acta Mol Basis Dis. 2024 Feb 9:167064. doi: 10.1016/j.bbadis.2024.167064. Online ahead of print.

ABSTRACT

Tracking alterations in polar metabolite and lipid levels during anti-tuberculosis (TB) interventions is an emerging biomarker discovery and validation approach due to its sensitivity in capturing changes and reflecting on the host status. Here, we employed deep plasma metabolic phenotyping to explore the TB patient metabolome during three phases of treatment: at baseline, during intensive phase treatment, and upon treatment completion. Differential metabolites (DMs) in each period were determined, and the pathway-level biological changes were explored by untargeted metabolomics-guided functional interpretations that bypassed identification. We identified 41 DMs and 39 pathways that changed during intensive phase completion. Notably, levels of certain amino acids including histidine, bile acids, and metabolites of purine metabolism were dramatically increased. The altered pathways included those involved in the metabolism of amino acids, glycerophospholipids, and purine. At the end of treatment, 44 DMs were discovered. The levels of glutamine, bile acids, and lysophosphatidylinositol significantly increased compared to baseline; the levels of carboxylates and hypotaurine declined. In addition, 37 pathways principally associated with the metabolism of amino acids, carbohydrates, and glycan altered at treatment completion. The potential of each DM for diagnosing TB was examined using a cohort consisting of TB patients, those with latent infections, and controls. Logistic regression revealed four biomarkers (taurine, methionine, glutamine, and acetyl-carnitine) that exhibited excellent performance in differential diagnosis. In conclusion, we identified metabolites that could serve as useful metabolic signatures for TB management and elucidated underlying biological processes affected by the crosstalk between host and TB pathogen during treatment.

PMID:38342417 | DOI:10.1016/j.bbadis.2024.167064

Neuropsychopharmacology. 2024 Feb 10. doi: 10.1038/s41386-024-01816-3. Online ahead of print.

NO ABSTRACT

PMID:38341491 | DOI:10.1038/s41386-024-01816-3

Schizophrenia (Heidelb). 2024 Feb 10;10(1):14. doi: 10.1038/s41537-024-00440-w.

ABSTRACT

Schizophrenia is a severe mental illness and a major risk factor for suicide, with approximately 50% of schizophrenia patients attempting and 10% dying from suicide. Although genetic components play a significant role in schizophrenia risk, the underlying genetic risk factors for suicide are poorly understood. The complement component C4 gene, an immune gene involved in the innate immune system and located in the major histocompatibility complex (MHC) region, has been identified to be strongly associated with schizophrenia risk. In addition, recent findings have also suggested that the MHC region has been associated with suicide risk across disorders, making C4 a potential candidate of interest for studying suicidality in schizophrenia patients. Despite growing interest in investigating the association between the C4 gene and schizophrenia, to our knowledge, no work has been done to examine the potential of C4 variants as suicide risk factors in patients with schizophrenia. In this study, we investigated the association between different C4 copy number variants and predicted C4 brain expression with suicidal outcomes (suicide attempts/suicidal ideation). We directly genotyped 434 schizophrenia patients to determine their C4A and C4B copy number variants. We found the C4AS copy number to be marginally and negatively associated with suicide risk, potentially being protective against suicide attempts (OR = 0.49; p = 0.05) and suicidal ideation (OR = 0.65; p = 0.07). Furthermore, sex-stratified analyses revealed that there are no significant differences between males and females. Our preliminary findings encourage additional studies of C4 and potential immune dysregulation in suicide.

PMID:38341430 | PMC:PMC10858919 | DOI:10.1038/s41537-024-00440-w

Farm Hosp. 2024 Feb 9:S1130-6343(24)00003-5. doi: 10.1016/j.farma.2023.12.004. Online ahead of print.

ABSTRACT

INTRODUCTION: Pharmacogenetics evaluates how genetic variations influence drug responses. Nowadays, genetic tests have advanced, becoming more affordable, and its integration is supported by stronger clinical evidence. Guidelines such as those from CPIC (Clinical Pharmacogenetics Implementation Consortium) and resources like PharmGKB facilitate genotype-based prescribing; and organizations like the FDA promote genetic testing before initiating certain medications. Preventive pharmacogenetic panels seem promising, but further research on biomarkers and diverse populations is needed. The aim of this review is to analyze recent evidence on the genotype-drug response relationship to examine how the genetic profile of patients influences the clinical response to treatments, and analyze the areas of research that need further study to advance towards a genetic-based precision medicine.

MATERIALS AND METHODS: A systematic search was conducted on PubMed to identify articles investigating the genotype-drug response relationship. The search strategy included terms such as "pharmacogenetics", "personalized treatment", "precision medicine", "dose adjustment", "individualizing dosing", "clinical routine", and "clinical practice." Clinical trials, observational studies, and meta-analyses published in English or Spanish between 2013 and 2023 were included. The initial search resulted in a total of 136 articles for analysis.

RESULTS: 49 articles were included for the final analysis following review by 2 investigators. A relationship between genetic polymorphisms and drug response or toxicity was found for drugs such as opioids, GLP-1 agonists, tacrolimus, oral anticoagulants, antineoplastics, atypical antipsychotics, efavirenz, clopidogrel, lamotrigine, anti-TNFα agents, voriconazole, antidepressants, or statins. However, for drugs like metformin, quetiapine, irinotecan, bisoprolol, and anti-VEGF agents, no statistically significant association between genotype and response was found.

CONCLUSION: The studies analyzed in this review suggest a strong correlation between genetic variability and individual drug responses, supporting the use of pharmacogenetics for treatment optimization. However, for certain drugs like metformin or quetiapine, the influence of genotype on their response remains unclear. More studies with larger sample sizes, greater ethnic diversity, and consideration of non-genetic factors are needed. The lack of standardization in analysis methods and accessibility to genetic testing are significant challenges in this field. As a conclusion, pharmacogenetics shows immense potential in personalized medicine, but further research is required.

PMID:38341366 | DOI:10.1016/j.farma.2023.12.004

J Am Acad Child Adolesc Psychiatry. 2024 Feb 6:S0890-8567(24)00062-5. doi: 10.1016/j.jaac.2023.12.009. Online ahead of print.

ABSTRACT

OBJECTIVE: There is a pronounced gap in knowledge regarding the polygenic underpinnings of youth bipolar disorder (BD). This study aimed to compare polygenic risk score (PRS) in youth with BD, youth at high clinical and/or familial risk for BD (HR), and controls.

METHOD: Participants include a total of 344 youth of European ancestry, ages 13-20 years old, including 136 youth with BD, 121 HR youth, and 87 controls. PRS for BD, schizophrenia (SCZ), major depressive disorder (MDD), or attention-deficit/hyperactivity disorder (ADHD) were constructed using independent genome-wide summary statistics from adult cohorts. Multinomial logistic regression was used to examine the association between each PRS and diagnostic status (BD vs. HR vs. controls). All genetic analyses controlled for age, sex, and 2 genetic principal components.

RESULTS: BD group showed significantly higher BD-PRS than the control group (OR=1.54, 95% CI=1.13-2.10, p=0.006), with the HR group numerically intermediate. BD-PRS explained 7.9% of phenotypic variance. PRS for SCZ, MDD, and ADHD were not significantly different among groups. Within the BD group, BD-PRS did not significantly differ in relation to BD subtype, age of onset, psychosis, and family history of BD.

CONCLUSION: BD-PRS derived from adult genome-wide summary statistics is elevated in youth with BD. Absence of significant between-group differences in PRS for other psychiatric disorders supports the specificity of BD-PRS in youth. Present findings add to the biological validation of BD in youth and could have implications for early identification and diagnosis. To enhance clinical utility, future GWAS that focus specifically on early-onset BD are warranted, as are studies integrating additional genetic and environmental factors.

PMID:38340895 | DOI:10.1016/j.jaac.2023.12.009

Cell Syst. 2024 Feb 5:S2405-4712(24)00024-3. doi: 10.1016/j.cels.2024.01.003. Online ahead of print.

ABSTRACT

Quantifying and predicting growth rate phenotype given variation in gene expression and environment is complicated by epistatic interactions and the vast combinatorial space of possible perturbations. We developed an approach for mapping expression-growth rate landscapes that integrates sparsely sampled experimental measurements with an interpretable machine learning model. We used mismatch CRISPRi across pairs and triples of genes to create over 8,000 titrated changes in E. coli gene expression under varied environmental contexts, exploring epistasis in up to 22 distinct environments. Our results show that a pairwise model previously used to describe drug interactions well-described these data. The model yielded interpretable parameters related to pathway architecture and generalized to predict the combined effect of up to four perturbations when trained solely on pairwise perturbation data. We anticipate this approach will be broadly applicable in optimizing bacterial growth conditions, generating pharmacogenomic models, and understanding the fundamental constraints on bacterial gene expression. A record of this paper's transparent peer review process is included in the supplemental information.

PMID:38340730 | DOI:10.1016/j.cels.2024.01.003

Eur Neuropsychopharmacol. 2024 Feb 9;81:43-52. doi: 10.1016/j.euroneuro.2024.01.005. Online ahead of print.

ABSTRACT

The aim of the study was to assess the clinical utility of currently available pharmacogenomic (PGx) tools compared with treatment as usual (TAU), using a meta-analysis of dichotomous and continuous antidepressant efficacy and tolerability data from previously published clinical trials. MEDLINE, clinicaltrial.gov, EU Clinical Trials Register, WHO ICTRP and CENTRAL were systematically searched; of the 962 results originally reviewed, 15 trials were included. Antidepressant efficacy was quantified by relative and absolute changes in symptom severity after eight weeks of treatment and by response and remission rates, while tolerability was estimated by the rate of study discontinuation for any reason. In the PGx-guided patients, symptom severity reduced by an average of 31.0% after eight weeks of treatment, compared to an average reduction of 26.8% in the TAU group. Accordingly, PGx-guided patients experienced a greater reduction in symptom severity of 3.4% (95%CI: 1.6-5.3%), which corresponded to a reduction in the Hamilton Depression score of 0.75 (0.30-1.21), a 37% (15-63%) higher remission rate, and an 18% (5-33%) higher response rate compared with TAU patients, while no difference was observed in discontinuation rate between groups. Notably, the majority of associations lost statistical significance when restricting the dataset to low risk of bias studies, while certain funnel plots suggested a potential publication bias favoring the reporting of statistically significant results. In summary, PGx tools marginally enhance antidepressant efficacy, but not antidepressant tolerability; thus, additional research and advancement of PGx tools are needed to improve integration of PGx in clinical pharmacotherapy of depression.

PMID:38340605 | DOI:10.1016/j.euroneuro.2024.01.005

Ecotoxicol Environ Saf. 2024 Feb 8;272:116061. doi: 10.1016/j.ecoenv.2024.116061. Online ahead of print.

ABSTRACT

Exposure to environmental endocrine disruptors (EEDs) has become a global health concern, and EEDs are known to be potent inducers of constitutive androstane receptor (CAR). 1,4-bis [2-(3,5-dichloropyridyloxy)] benzene (TCPOBOP, hereafter abbreviated as TC), a specific ligand for CAR, has been considered as a potential EED. Here, we analyzed the effect of TC exposure to female mice on the histological morphology of their alveoli in the basic unit of lactation. We quantified differences in the milk metabolome of the control and TC-exposed group while assessing the correlations between metabolites and neonatal growth. Mammary histological results showed that TC exposure inhibited alveolar development. Based on the milk metabolomic data, we identified a total of 1505 differential metabolites in both the positive and negative ion mode, which indicated that TC exposure affected milk composition. As expected, the differential metabolites were significantly enriched in the drug metabolism pathway. Further analyses revealed that differential metabolites were significantly enriched in multiple lipid metabolic pathways, such as fatty acid biosynthesis, suggesting that most differential metabolites were concentrated in lipids. Simultaneously, a quantitative analysis showed that TC exposure led to a decrease in the relative abundance of total milk lipids, affecting the proportion of some lipid subclasses. Notably, a portion of lipid metabolites were associated with neonatal growth. Taken together, these findings suggest that TC exposure may affect milk lipidomes, resulting in the inability of mothers to provide adequate nutrients, ultimately affecting the growth and health of their offspring.

PMID:38340598 | DOI:10.1016/j.ecoenv.2024.116061

Int J Mol Sci. 2024 Feb 5;25(3):1897. doi: 10.3390/ijms25031897.

ABSTRACT

The present study examines the relationship between circular RNA (circRNA) derived from three genes of the family a disintegrin and metalloproteinase with thrombospondin motifs (ADAMTSs): ADAMTS6, ADAMTS9 and ADAMTS12 and the host gene expression in non-small-cell lung cancer (NSCLC) with regard to various clinical factors. Notably, an association was identified between ADAMTS12 expression and specific circRNA molecules, as well as certain expression patterns of ADAMTS6 and its derived circRNA that were specific to histopathological subtypes. The survival analysis demonstrated that a lower ADAMTS6 expression in squamous cell carcinoma was associated with extended survival. Furthermore, the higher ADAMTS9 expression was linked to prolonged survival, while the overexpression of ADAMTS12 was correlated with a shorter survival. These findings suggest that circRNA molecules may serve as potential diagnostic or prognostic biomarkers for NSCLC, highlighting the importance of considering molecular patterns in distinct cancer subtypes.

PMID:38339175 | PMC:PMC10855670 | DOI:10.3390/ijms25031897

Int J Mol Sci. 2024 Jan 25;25(3):1491. doi: 10.3390/ijms25031491.

ABSTRACT

Although calcineurin inhibitors are very effective as immunosuppressants in organ transplantation, complete graft acceptance remains as a challenge. Transfer of genes with immunosuppressant functions could contribute to improving the clinical evolution of transplantation. In this sense, hydrodynamic injection has proven very efficacious for liver gene transfer. In the present work, the hIL-10 gene was hydrofected 'ex vivo' to pig livers during the bench surgery stage, to circumvent the cardiovascular limitations of the procedure, in a model of porcine orthotopic transplantation with a 10-day follow-up. We used IL-10 because human and porcine proteins can be differentially quantified and for its immunomodulatory pleiotropic functions. Safety (biochemical parameters and histology), expression efficacy (RNA transcription and blood protein expression), and acute inflammatory response (cytokines panel) of the procedure were evaluated. The procedure proved safe as no change in biochemical parameters was observed in treated animals, and human IL-10 was efficaciously expressed, with stationary plasma protein levels over 20 pg/mL during the follow-up. Most studied cytokines showed increments (interferon-α, IFN-α; interleukin-1β, IL-1β; tumor necrosis factor α, TNFα; interleukin-6, IL-6; interleukin-8, IL-8; interleukin-4, IL-4; and transforming growth factor-β, TGF-β) in treated animals, without deleterious effects on tissue. Collectively, the results support the potential clinical interest in this gene therapy model that would require further longer-term dose-response studies to be confirmed.

PMID:38338774 | PMC:PMC10855839 | DOI:10.3390/ijms25031491

J Am Pharm Assoc (2003). 2024 Feb 7:S1544-3191(24)00032-3. doi: 10.1016/j.japh.2024.02.002. Online ahead of print.

ABSTRACT

OBJECTIVES: In the United States, depression is one of the most common mental health disorders. Ambulatory care pharmacists play a critical role in assisting with medication and dosage selection, identifying and managing drug interactions and adverse effects, and increasing medication adherence. Existing data on depression management by ambulatory care pharmacists trained in primary care is limited and outdated. This study provides insight into current practices for depression management by primary care pharmacy specialists within an academic health center and how pharmacist interventions may impact functional outcomes of depression.

METHODS: This single center, retrospective study analyzed 27 patients with a primary care physician within the health system who were seen by an ambulatory care pharmacist for depression. Subjects were excluded if they were under 18 years old, pregnant, or had a diagnosis of bipolar disorder, schizophrenia, schizoaffective disorder, or dementia. The primary outcome was characterization of pharmacist interventions for treatment of depression. Secondary outcomes included change in depressive symptoms, as measured by the patient health questionnaire, characterization of adverse effects correlated with medications for depression, and utilization of pharmacogenomics testing and results.

RESULTS: Of 27 patients seen by a pharmacist for depression management, 38 total interventions were made, with an average of 1.77 interventions per patient. The most common intervention was new medication initiation (32%). Average PHQ-9 scores dropped from 14.9 to 7.3 twelve weeks following the initial pharmacist visit. Only 6 patients reported adverse effects to a current antidepressant during their visit with the pharmacist, and only 2 of these cases warranted a change in therapy. Ten patients obtained pharmacogenomic testing with pharmacist facilitation.

CONCLUSION: Pharmacists in the primary care setting are positioned to be an additional resource for depression management and can offer a wide variety of interventions to improve patient health.

PMID:38336232 | DOI:10.1016/j.japh.2024.02.002

PLoS One. 2024 Feb 9;19(2):e0296729. doi: 10.1371/journal.pone.0296729. eCollection 2024.

ABSTRACT

BACKGROUND: Rupture of abdominal aortic aneurysm (rAAA) is a fatal event in the elderly. Elevated blood pressure and weakening of vessel wall strength are major risk factors for this devastating event. This present study examined whether the expression profile of mechanosensitive genes correlates with the phenotype and outcome, thus, serving as a biomarker for AAA development.

METHODS: In this study, we identified mechanosensitive genes involved in AAA development using general bioinformatics methods and machine learning with six human datasets publicly available from the GEO database. Differentially expressed mechanosensitive genes (DEMGs) in AAAs were identified by differential expression analysis. Molecular biological functions of genes were explored using functional clustering, Protein-protein interaction (PPI), and weighted gene co-expression network analysis (WGCNA). According to the datasets (GSE98278, GSE205071 and GSE165470), the changes of diameter and aortic wall strength of AAA induced by DEMGs were verified by consensus clustering analysis, machine learning models, and statistical analysis. In addition, a model for identifying AAA subtypes was built using machine learning methods.

RESULTS: 38 DEMGs clustered in pathways regulating 'Smooth muscle cell biology' and 'Cell or Tissue connectivity'. By analyzing the GSE205071 and GSE165470 datasets, DEMGs were found to respond to differences in aneurysm diameter and vessel wall strength. Thus, in the merged datasets, we formally created subgroups of AAAs and found differences in immune characteristics between the subgroups. Finally, a model that accurately predicts the AAA subtype that is more likely to rupture was successfully developed.

CONCLUSION: We identified 38 DEMGs that may be involved in AAA. This gene cluster is involved in regulating the maximum vessel diameter, degree of immunoinflammatory infiltration, and strength of the local vessel wall in AAA. The prognostic model we developed can accurately identify the AAA subtypes that tend to rupture.

PMID:38335213 | PMC:PMC10857568 | DOI:10.1371/journal.pone.0296729

Pharmgenomics Pers Med. 2024 Feb 3;17:53-64. doi: 10.2147/PGPM.S439400. eCollection 2024.

ABSTRACT

PURPOSE: CYP3A5 polymorphisms have been associated with variations in the pharmacokinetics of tacrolimus (Tac) in kidney transplant patients. Our study aims to quantify how the CYP3A5 genotype influences tacrolimus trough concentrations (C0) in a Vietnamese outpatient population by selecting an appropriate population pharmacokinetic model of Tac for our patients.

PATIENTS AND METHODS: The external dataset was obtained prospectively from 54 data of adult kidney transplant recipients treated at the 103 Military Hospital. All published Tac population pharmacokinetic models were systematically screened from PubMed and Scopus databases and were selected based on our patient's available characteristics. Mean absolute prediction error (MAPE), mean prediction error, and goodness-of-fit plots were used to identify the appropriate model for finding the formula that identifies the influence of CYP3A5 genotype on the pharmacokinetic data of Vietnamese patients.

RESULTS: The model of Zhu et al had a good predictive ability with MAPE of 19.29%. The influence of CYP3A5 genotype on tacrolimus clearance was expressed by the following formulas: . The simulation result showed that Tac C0 was significantly higher in patients not expressing CYP3A5 (p< 0.001).

CONCLUSION: The incorporation of the CYP3A5 phenotype into Zhu's structural model has significantly enhanced our ability to predict Tacrolimus trough levels in the Vietnamese population. This study's results underscore the valuable role of CYP3A5 phenotype in optimizing the forecast of Tac concentrations, offering a promising avenue to assist health-care practitioners in their clinical decision-making and ultimately advance patient care outcomes.

PMID:38332855 | PMC:PMC10850765 | DOI:10.2147/PGPM.S439400

Br J Clin Pharmacol. 2024 Feb 8. doi: 10.1111/bcp.16009. Online ahead of print.

ABSTRACT

AIMS: Dolutegravir increases serum creatinine by inhibiting its renal tubular secretion and elimination. We investigated determinants of early changes in serum creatinine in a southern African cohort starting first-line dolutegravir-based antiretroviral therapy (ART).

METHODS: We conducted a secondary analysis of data from participants in a randomized controlled trial of dolutegravir, emtricitabine and tenofovir disoproxil fumarate (TDF) or tenofovir alafenamide fumarate (TAF) (ADVANCE, NCT03122262). We assessed clinical, pharmacokinetic and genetic factors associated with change in serum creatinine from baseline to Week 4 using linear regression models adjusted for age, sex, baseline serum creatinine, HIV-1 RNA concentration, CD4 T-cell count, total body weight and co-trimoxazole use.

RESULTS: We included 689 participants, of whom 470 had pharmacokinetic data and 315 had genetic data. Mean change in serum creatinine was 11.3 (SD 9.9) μmol.L-1 . Factors that were positively associated with change in serum creatinine at Week 4 were increased log dolutegravir area under the 24-h concentration-time curve (change in creatinine coefficient [β] = 2.78 μmol.L-1 [95% confidence interval (CI) 0.54, 5.01]), TDF use (β = 2.30 [0.53, 4.06]), male sex (β = 5.20 [2.92, 7.48]), baseline serum creatinine (β = -0.22 [-0.31, -0.12]) and UGT1A1 rs929596 A→G polymorphism with a dominant model (β = -2.33 [-4.49, -0.17]). The latter did not withstand correction for multiple testing.

CONCLUSIONS: Multiple clinical and pharmacokinetic factors were associated with early change in serum creatinine in individuals initiating dolutegravir-based ART. UGT1A1 polymorphisms may play a role, but further research on genetic determinants is needed.

PMID:38332460 | DOI:10.1111/bcp.16009