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

Am J Pharm Educ. 2024 Feb 6:100668. doi: 10.1016/j.ajpe.2024.100668. Online ahead of print.

ABSTRACT

OBJECTIVE: Poor knowledge and confidence in pharmacogenomics are key barriers to implementation. Education of future healthcare professionals is required to enhance appropriate use of pharmacogenomics, however, the optimal education approach is unclear. This systematic scoping review evaluates pharmacogenomic educational interventions to improve knowledge and confidence.

FINDINGS: A total of 24 studies were included. Most (90%) studies delivered pharmacogenomic education to pharmacy students and consisted of didactic lectures and workshops with case studies. To supplement case studies, self or class aggregated (52%, 12/23), mock (43%, 10/23) or faculty member provided (4%, 1/23) pharmacogenomic data were used in the case scenarios. All studies used quantitative methods, including student assessments and scaled surveys to assess the impact of the educational intervention on knowledge and/or confidence in pharmacogenomics. On average, the educational interventions improved knowledge acquisition by 21%, confidence in pharmacogenomic data interpretation by 37%, confidence in communication of pharmacogenomic information to patients by 41% and to healthcare professionals by 44%. Improvement in communication with other healthcare professionals was greater in students involved in interprofessional learning compared to self-pharmacogenomic testing.

SUMMARY: The measures used to determine the effect of educational interventions on student knowledge and confidence varied. Innovative pedagogy, specifically interactive case-based learning and simulation such as interprofessional learning, enhance knowledge and confidence of students in pharmacogenomics. Course-embedded self-pharmacogenomic testing may offer a supplementary, interactive component to case-based learning by using real-life reports as the foundation of knowledge and confidence acquisition.

PMID:38331197 | DOI:10.1016/j.ajpe.2024.100668

PLOS Digit Health. 2024 Feb 8;3(2):e0000451. doi: 10.1371/journal.pdig.0000451. eCollection 2024 Feb.

ABSTRACT

Healthcare systems have made rapid progress towards combining data science with precision medicine, particularly in pharmacogenomics. With the lack of predictability in medication effectiveness from patient to patient, acquiring the specifics of their genotype would be highly advantageous for patient treatment. Genotype-guided dosing adjustment improves clinical decision-making and helps optimize doses to deliver medications with greater efficacy and within safe margins. Current databases demand extensive effort to locate relevant genetic dosing information. To address this problem, Patient Optimization Pharmacogenomics (POPGx) was constructed. The objective of this paper is to describe the development of POPGx, a tool to simplify the approach for healthcare providers to determine pharmacogenomic dosing recommendations for patients taking multiple medications. Additionally, this tool educates patients on how their allele variations may impact gene function in case they need further healthcare consultations. POPGx was created on Konstanz Information Miner (KNIME). KNIME is a modular environment that allows users to conduct code-free data analysis. The POPGx workflow can access Clinical Pharmacogenomics Implementation Consortium (CPIC) guidelines and subsequently be able to present relevant dosing and counseling information. A KNIME representational state transfer (REST) application program interface (API) node was established to retrieve information from CPIC and drugs that are exclusively metabolized through CYP450, and these drugs were processed simultaneously to demonstrate competency of the workflow. The POPGx program provides a time-efficient method for users to retrieve relevant, patient-specific medication selection and dosing recommendations. Users input metabolizer gene, genetic allele data, and medication list to retrieve clear dosing information. The program is automated to display current guideline recommendations from CPIC. The integration of this program into healthcare systems has the potential to revolutionize patient care by giving healthcare practitioners an easy way to prescribe medications with greater efficacy and safety by utilizing the latest advancements in the field of pharmacogenomics.

PMID:38329943 | PMC:PMC10852335 | DOI:10.1371/journal.pdig.0000451

Neurol Ther. 2024 Feb 8. doi: 10.1007/s40120-024-00582-0. Online ahead of print.

ABSTRACT

BACKGROUND: Galcanezumab is approved in the European Union (EU) as migraine prophylaxis in adults with at least four migraine days per month. The aim of this retrospective observational study was to evaluate the long-term effectiveness of galcanezumab on migraine-related burdens and its impact on the use of healthcare resources for migraine prophylaxis in an Italian setting.

METHODS: This retrospective study was conducted in patients with migraine who initiated treatment with galcanezumab for migraine prevention between September 2019 and December 2020. Patient data for monthly migraine days (MMDs) and MMDs with acute medication intake were obtained by medical chart reviews. Information on patient-reported outcomes (using the Migraine Disability Assessment [MIDAS] questionnaire and Headache Impact Test 6 [HIT-6] questionnaire) and on the use of healthcare resources were also collected. The time points of interest were 1, 3, 6, 9, 12 months after the initiation of galcanezumab, and the most recent time point available during follow-up.

RESULTS: A total of 207 patients were enrolled in the study. Starting from month 3 after treatment initiation, more than half of the patients presented at least a 50% reduction in MMDs, and approximately one-third of non-responders at month 3 became responders at month 6. From month 3 to month 12, MMDs decreased on average by 10 days. Headache impact and disability, as well as migraine-associated health resource utilization decreased significantly during the treatment period. A positive significant association among the three dimensions of clinical burden (MMDs, MIDAS and days of acute medication intake) was also observed.

CONCLUSION: The results of this Italian real-world study confirmed that galcanezumab has a rapid onset of effect and provides a long-term response among patients over different migraine-related burdens. The use of healthcare resources was also remarkably reduced.

PMID:38329615 | DOI:10.1007/s40120-024-00582-0

Health Sci Rep. 2024 Feb 6;7(2):e1875. doi: 10.1002/hsr2.1875. eCollection 2024 Feb.

ABSTRACT

BACKGROUND AND AIMS: Breast cancer is one of the deadliest diseases affecting women in Bangladesh, and its prevalence is increasing year by year. Although several IL-6 single nucleotide polymorphisms have been implicated in BC susceptibility and prognosis in various studies, no research has been done to investigate the relationship between breast cancer and IL-6 in Bangladeshi women. This investigation aimed to explore the linkage between the rs1800797 variant of IL-6 and the susceptibility to breast carcinoma among women in Bangladesh.

METHODS: The IL-6 rs1800797 variant was genotyped in 218 subjects (110 cases and 108 controls) using the tetra-primer ARMS-PCR method. The statistical analysis was applied utilizing the SPSS software version 24.0. UALCAN database was used for IL-6 mRNA analysis, and genotype-based gene expression was retrieved from GTEx Portal.

RESULTS: This study found a significant link between IL-6 rs1800797 variants and increased chance of breast cancer across different genetic inheritance models, including additive model 1 (AG vs. GG: OR = 2.16, p = 0.035); dominant model (AG + AA vs. GG: OR = 2.26, p < 0.05); overdominant model (AG vs. GG + AA: OR = 2.08, p < 0.05); and allelic model (A vs. G: OR = 2.15, p < 0.05). However, an insignificant association of breast cancer was found in both additive model 2 (AA vs. GG: OR = 2.91, p > 0.05) and the recessive model (AA vs. GG + AG: OR = 2.52, p > 0.05). Under the analysis of the probability of false positive reports, no significant values were found in different models when the OR was 1.5, and the prior probability was 0.25.

CONCLUSIONS: A significant relationship was found between the IL-6 rs1800797 genetic variant and the risk of breast cancer. However, the findings of the study should be further investigated with a larger sample size to validate the correlation.

PMID:38328790 | PMC:PMC10847621 | DOI:10.1002/hsr2.1875

bioRxiv. 2024 Jan 23:2023.02.27.530254. doi: 10.1101/2023.02.27.530254. Preprint.

ABSTRACT

Large library docking can reveal unexpected chemotypes that complement the structures of biological targets. Seeking new agonists for the cannabinoid-1 receptor (CB1R), we docked 74 million tangible molecules, prioritizing 46 high ranking ones for de novo synthesis and testing. Nine were active by radioligand competition, a 20% hit-rate. Structure-based optimization of one of the most potent of these (Ki = 0.7 μM) led to '4042, a 1.9 nM ligand and a full CB1R agonist. A cryo-EM structure of the purified enantiomer of '4042 ('1350) in complex with CB1R-Gi1 confirmed its docked pose. The new agonist was strongly analgesic, with generally a 5-10-fold therapeutic window over sedation and catalepsy and no observable conditioned place preference. These findings suggest that new cannabinoid chemotypes may disentangle characteristic cannabinoid side-effects from their analgesia, supporting the further development of cannabinoids as pain therapeutics.

PMID:38328157 | PMC:PMC10849508 | DOI:10.1101/2023.02.27.530254

J Clin Pharmacol. 2024 Feb 8. doi: 10.1002/jcph.2411. Online ahead of print.

ABSTRACT

The determination of the appropriate initial dose for tacrolimus is crucial in achieving the target concentration promptly and avoiding adverse effects and poor prognosis. However, the trial-and-error approach is still common practice. This study aimed to establish a prediction model for an initial dosing algorithm of tacrolimus in patients receiving a lung transplant. A total of 210 lung transplant recipients were enrolled, and 26 single nucleotide polymorphisms (SNP) from 18 genes that could potentially affect tacrolimus pharmacokinetics were genotyped. Associations between SNPs and tacrolimus concentration/dose ratio were analyzed. SNPs that remained significant in pharmacogenomic analysis were further combined with clinical factors to construct a prediction model for tacrolimus initial dose. The dose needed to reach steady state tacrolimus concentrations and achieve the target range was used to validate model prediction efficiency. Our final model consisted of 7 predictors-CYP3A5 rs776746, SLCO1B3 rs4149117, SLC2A2 rs1499821, NFATc4 rs1955915, alanine aminotransferase, direct bilirubin, and hematocrit-and explained 41.4% variance in the tacrolimus concentration/dose ratio. It achieved an area under the receiver operating characteristic curve of 0.804 (95% confidence interval, 0.746-0.861). The Hosmer-Lemeshow test yielded a nonsignificant P value of .790, suggesting good fit of the model. The predicted dose exhibited good correlation with the observed dose in the early postoperative period (r = 0.748, P less than .001). Our study provided a genotype-guided prediction model for tacrolimus initial dose, which may help to guide individualized dosing of tacrolimus in the lung transplant population in clinical practice.

PMID:38327217 | DOI:10.1002/jcph.2411

Mol Psychiatry. 2024 Feb 8. doi: 10.1038/s41380-024-02433-8. Online ahead of print.

ABSTRACT

Psychosis occurs inside the brain, but may have external manifestations (peripheral molecular biomarkers, behaviors) that can be objectively and quantitatively measured. Blood biomarkers that track core psychotic manifestations such as hallucinations and delusions could provide a window into the biology of psychosis, as well as help with diagnosis and treatment. We endeavored to identify objective blood gene expression biomarkers for hallucinations and delusions, using a stepwise discovery, prioritization, validation, and testing in independent cohorts design. We were successful in identifying biomarkers that were predictive of high hallucinations and of high delusions states, and of future psychiatric hospitalizations related to them, more so when personalized by gender and diagnosis. Top biomarkers for hallucinations that survived discovery, prioritization, validation and testing include PPP3CB, DLG1, ENPP2, ZEB2, and RTN4. Top biomarkers for delusions include AUTS2, MACROD2, NR4A2, PDE4D, PDP1, and RORA. The top biological pathways uncovered by our work are glutamatergic synapse for hallucinations, as well as Rap1 signaling for delusions. Some of the biomarkers are targets of existing drugs, of potential utility in pharmacogenomics approaches (matching patients to medications, monitoring response to treatment). The top biomarkers gene expression signatures through bioinformatic analyses suggested a prioritization of existing medications such as clozapine and risperidone, as well as of lithium, fluoxetine, valproate, and the nutraceuticals omega-3 fatty acids and magnesium. Finally, we provide an example of how a personalized laboratory report for doctors would look. Overall, our work provides advances for the improved diagnosis and treatment for schizophrenia and other psychotic disorders.

PMID:38326562 | DOI:10.1038/s41380-024-02433-8

Sci Rep. 2024 Feb 6;14(1):3000. doi: 10.1038/s41598-024-53310-x.

ABSTRACT

The clinical manifestations of SARS-CoV-2 infection vary widely among patients, from asymptomatic to life-threatening. Host genetics is one of the factors that contributes to this variability as previously reported by the COVID-19 Host Genetics Initiative (HGI), which identified sixteen loci associated with COVID-19 severity. Herein, we investigated the genetic determinants of COVID-19 mortality, by performing a case-only genome-wide survival analysis, 60 days after infection, of 3904 COVID-19 patients from the GEN-COVID and other European series (EGAS00001005304 study of the COVID-19 HGI). Using imputed genotype data, we carried out a survival analysis using the Cox model adjusted for age, age2, sex, series, time of infection, and the first ten principal components. We observed a genome-wide significant (P-value < 5.0 × 10-8) association of the rs117011822 variant, on chromosome 11, of rs7208524 on chromosome 17, approaching the genome-wide threshold (P-value = 5.19 × 10-8). A total of 113 variants were associated with survival at P-value < 1.0 × 10-5 and most of them regulated the expression of genes involved in immune response (e.g., CD300 and KLR genes), or in lung repair and function (e.g., FGF19 and CDH13). Overall, our results suggest that germline variants may modulate COVID-19 risk of death, possibly through the regulation of gene expression in immune response and lung function pathways.

PMID:38321133 | PMC:PMC10847137 | DOI:10.1038/s41598-024-53310-x

Drug Des Devel Ther. 2024 Feb 1;18:259-275. doi: 10.2147/DDDT.S441350. eCollection 2024.

ABSTRACT

BACKGROUND: Astragalus membranaceus (AM) shows promise as a therapeutic agent for osteoarthritis (OA), a debilitating condition with high disability rates. OA exacerbation is linked to chondrocyte ferroptosis, yet the precise pharmacological mechanisms of AM remain unclear.

METHODS: We validated AM's protective efficacy in an anterior cruciate ligament transection (ACLT) mouse model of OA. The Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP) database was utilized to identify AM's active components and their targets. FerrDb (a database for regulators and markers of ferroptosis and ferroptosis-disease associations) pinpointed ferroptosis-related targets, while GeneCards, Online Mendelian Inheritance in Man (OMIM), Pharmacogenomics Knowledgebase (PharmGKB), Therapeutic Target Database (TTD), and DrugBank sourced OA-related genes. Molecular docking analysis further validated these targets. Ultimately, the validation of the results was accomplished through in vitro experiments.

RESULTS: AM exhibited anabolic effects and suppressed catabolism in OA chondrocytes. Network pharmacology identified 19 common genes, and molecular docking suggested quercetin, an AM constituent, interacts with key proteins like HO-1 and NRF2 to inhibit chondrocyte ferroptosis. In vitro experiments confirmed AM's ability to modulate the NRF2/HO-1 pathway via quercetin, mitigating chondrocyte ferroptosis.

CONCLUSION: This study elucidates how AM regulates chondrocyte ferroptosis, impacting OA progression, providing a theoretical basis and experimental support for AM's scientific application.

PMID:38318502 | PMC:PMC10843981 | DOI:10.2147/DDDT.S441350

Cancer Cell Int. 2024 Feb 6;24(1):57. doi: 10.1186/s12935-024-03232-5.

ABSTRACT

BACKGROUND: AlkB homolog 1, histone H2A dioxygenase (ALKBH1), a crucial enzyme involved in RNA demethylation in humans, plays a significant role in various cellular processes. While its role in tumor progression is well-established, its specific contribution to stomach adenocarcinoma (STAD) remains elusive. This study seeks to explore the clinical and pathological relevance of ALKBH1, its impact on the tumor immune microenvironment, and its potential for precision oncology in STAD.

METHODS: We adopted a comprehensive multi-omics approach to identify ALKBH1 as an potential diagnostic biomarker for STAD, demonstrating its association with advanced clinical stages and reduced overall survival rates. Our analysis involved the utilization of publicly available datasets from GEO and TCGA. We identified differentially expressed genes in STAD and scrutinized their relationships with immune gene expression, overall survival, tumor stage, gene mutation profiles, and infiltrating immune cells. Moreover, we employed spatial transcriptomics to investigate ALKBH1 expression across distinct regions of STAD. Additionally, we conducted spatial transcriptomic and single-cell RNA-sequencing analyses to elucidate the correlation between ALKBH1 expression and immune cell populations. Our findings were validated through immunohistochemistry and bioinformatics on 60 STAD patient samples.

RESULTS: Our study unveiled crucial gene regulators in STAD linked with genetic variations, deletions, and the tumor microenvironment. Mutations in these regulators demonstrated a positive association with distinct immune cell populations across six immune datasets, exerting a substantial influence on immune cell infiltration in STAD. Furthermore, we established a connection between elevated ALKBH1 expression and macrophage infiltration in STAD. Pharmacogenomic analysis of gastric cancer cell lines further indicated that ALKBH1 inactivation correlated with heightened sensitivity to specific small-molecule drugs.

CONCLUSION: In conclusion, our study highlights the potential role of ALKBH1 alterations in the advancement of STAD, shedding light on novel diagnostic and prognostic applications of ALKBH1 in this context. We underscore the significance of ALKBH1 within the tumor immune microenvironment, suggesting its utility as a precision medicine tool and for drug screening in the management of STAD.

PMID:38317214 | PMC:PMC10845659 | DOI:10.1186/s12935-024-03232-5

Infect Dis (Lond). 2024 Feb 5:1-12. doi: 10.1080/23744235.2024.2309348. Online ahead of print.

ABSTRACT

BACKGROUND: Rifampicin, a key drug against tuberculosis (TB), displays wide between-patient pharmacokinetics variability and concentration-dependent antimicrobial effect. We investigated variability in plasma rifampicin concentrations and the role of SLCO1B1, ABCB1, arylacetamide deacetylase (AADAC) and carboxylesterase 2 (CES-2) genotypes in Ethiopian patients with TB.

METHODS: We enrolled adult patients with newly diagnosed TB (n = 119) who had received 2 weeks of rifampicin-based anti-TB therapy. Venous blood samples were obtained at three time points post-dose. Genotypes for SLCO1B1 (c.388A > G, c.521T > C), ABCB1 (c.3435C > T, c.4036A > G), AADACc.841G > A and CES-2 (c.269-965A > G) were determined. Rifampicin plasma concentration was quantified using LC-MS/MS. Predictors of rifampicin Cmax and AUC0-7 h were analysed.

RESULTS: The median rifampicin Cmax and AUC0-7 were 6.76 µg/mL (IQR 5.37-8.48) and 17.05 µg·h/mL (IQR 13.87-22.26), respectively. Only 30.3% of patients achieved the therapeutic efficacy threshold (Cmax>8 µg/mL). The allele frequency for SLCO1B1*1B (c.388A > G), SLCO1B1*5 (c.521T > C), ABCB1 c.3435C > T, ABCB1c.4036A > G, AADAC c.841G > A and CES-2 c.269-965A > G were 2.2%, 20.2%, 24.4%, 14.6%, 86.1% and 30.6%, respectively. Sex, rifampicin dose and ABCB1c.4036A > G, genotypes were significant predictors of rifampicin Cmax and AUC0-7. AADACc.841G > A genotypes were significant predictors of rifampicin Cmax. There was no significant influence of SLCO1B1 (c.388A > G, c.521T > C), ABCB1c.3435C > T and CES-2 c.269-965A > G on rifampicin plasma exposure variability.

CONCLUSIONS: Subtherapeutic rifampicin plasma concentrations occurred in two-thirds of Ethiopian TB patients. Rifampicin exposure varied with sex, dose and genotypes. AADACc.841G/G and ABCB1c.4036A/A genotypes and male patients are at higher risk of lower rifampicin plasma exposure. The impact on TB treatment outcomes and whether high-dose rifampicin is required to improve therapeutic efficacy requires further investigation.

PMID:38315168 | DOI:10.1080/23744235.2024.2309348

J Can Assoc Gastroenterol. 2023 Sep 2;7(1):59-67. doi: 10.1093/jcag/gwad024. eCollection 2024 Feb.

ABSTRACT

Crohn's disease (CD), a chronic inflammatory condition of the digestive tract, poses significant challenges in terms of disease prognosis and treatment selection. Biomarkers have the potential to predict CD outcomes and guide clinical decision-making. This review aims to summarize the current literature on promising biomarkers associated with CD outcomes and their potential clinical implications. The identification of reliable biomarkers for CD outcomes is of paramount importance in tailoring treatment strategies, monitoring disease activity, and predicting the risk of complications. Clinical prognostic factors traditionally used to assess disease severity, and the likelihood of complications have limitations in accuracy and predictive value. Thus, there is a need for more precise biomarkers, particularly in newly diagnosed and treatment-naive patients. Pharmacogenomic markers, such as TPMT and NUDT15 polymorphisms, have been utilized to identify patients at risk of adverse events with thiopurine therapy. Several biomarkers, including HLA haplotypes, oncostatin M expression, and transcriptomic profiles, have shown associations with response to anti-TNF therapy. Confocal laser endomicroscopy and single-cell analyses hold promise in predicting treatment response to specific therapies. The identification of biomarkers associated with post-operative recurrence in CD is crucial, as it could lead to changes in management algorithms. Several promising microbiome signatures and proteomic profiles have been identified. In conclusion, biomarkers have the potential to revolutionize the management of CD by providing valuable prognostic information and guiding treatment decisions. However, further research and validation are necessary to establish their clinical utility and integration into routine practice.

PMID:38314176 | PMC:PMC10836989 | DOI:10.1093/jcag/gwad024

J Patient Exp. 2024 Feb 1;11:23743735241229384. doi: 10.1177/23743735241229384. eCollection 2024.

ABSTRACT

The purpose of this study is to provide an overview of patients' experiences using a precision medicine (PM) clinic that conducts pharmacogenomics-based (PGx) testing for adverse drug reactions. The study aimed to identify the features of the clinic valued most by patients and areas for improvement. A paper survey was used to collect data. Survey questions focused on patients' perceptions of the PM testing and the overall clinic experience. Sixty-seven patients completed the survey. Quantitative data were analyzed using SPSS and frequencies were reported. Open-ended responses were coded and organized thematically. Patients reported that the clinic services increased confidence in their medication usage. Feeling respected by staff, receiving education, and quick appointments were highly valued by patients. Suggested areas for improvement included better communication from the clinic to patients, expansion of clinic services, and education for other healthcare providers. The findings demonstrate that patient experience goes beyond the clinical care provided. Current and potential future providers of PM should invest the time and energy to configure their care delivery system to enhance the patient experience.

PMID:38313864 | PMC:PMC10836129 | DOI:10.1177/23743735241229384

PNAS Nexus. 2024 Jan 23;3(2):pgae023. doi: 10.1093/pnasnexus/pgae023. eCollection 2024 Feb.

ABSTRACT

The ability to monitor the response of metabolic enzymes to drug exposure in individuals is highly appealing and critical to personalized medicine. Although pharmacogenomics assesses genotypic differences, it does not report changes in metabolic enzyme activities due to environmental factors such as drug interactions. Here, we report a quantitative proteomics strategy to monitor drug metabolic pathways by profiling metabolic enzymes in circulating extracellular vesicles (EVs) upon drug exposure. Mass spectrometry (MS)-based measurement revealed that changes in metabolic enzyme abundance in EVs paralleled those in hepatic cells isolated from liver tissue. Coupling with multiplexed isotopic labeling, we temporally quantified 34 proteins involved in drug absorption, distribution, metabolism, and excretion (ADME) pathways. Out of 44 known ADME proteins in plasma EVs, previously annotated mouse cytochrome P450 3A11 (Cyp3a11), homolog to human CYP3A4, and uridine 5'-diphospho (UDP) glucuronosyltransferase 2A3 (Ugt2a3), increased upon daily rifampicin dosage. Dasatinib, a tyrosine kinase inhibitor to treat leukemia, also elevated Cyp3a11 levels in plasma EVs, but to a lesser extent. Altogether, this study demonstrates that measuring drug enzymes in circulating EVs as an effective surrogate is highly feasible and may transform today's drug discovery and development for personalized medicine.

PMID:38312223 | PMC:PMC10833468 | DOI:10.1093/pnasnexus/pgae023