Biomedicines. 2024 Apr 5;12(4):809. doi: 10.3390/biomedicines12040809.

ABSTRACT

BACKGROUND: Lung cancer (LC), including both non-small (NSCLC) and small (SCLC) subtypes, is currently treated with a combination of chemo- and immunotherapy. However, predictive biomarkers to identify high-risk patients are needed. Here, we explore the role of peripheral blood mononuclear cells (PBMCs) as a tool for novel biomarkers searching.

METHODS: We analyzed the expression of the cGAS-STING pathway, a key DNA sensor that activates during chemotherapy, in PBMCs from LC patients divided into best responders (BR), responders (R) and non-responders (NR). The PBMCs were whole exome sequenced (WES).

RESULTS: PBMCs from BR and R patients of LC cohorts showed the highest levels of STING (p < 0.0001) and CXCL10 (p < 0.0001). From WES, each subject had at least 1 germline/somatic alteration in a DDR gene and the presence of more DDR gene mutations correlated with clinical responses, suggesting novel biomarker implications. Thus, we tested the effect of the pharmacological DDR inhibitor (DDRi) in PBMCs and in three-dimensional spheroid co-culture of PBMCs and LC cell lines; we found that DDRi strongly increased cGAS-STING expression and tumor infiltration ability of immune cells in NR and R patients. Furthermore, we performed FACS analysis of PBMCs derived from LC patients from the BR, R and NR cohorts and we found that cytotoxic T cell subpopulations displayed the highest STING expression.

CONCLUSIONS: cGAS-STING signaling activation in PBMCs may be a novel potential predictive biomarker for the response to immunotherapy and high levels are correlated with a better response to treatment along with an overall increased antitumor immune injury.

PMID:38672164 | PMC:PMC11048624 | DOI:10.3390/biomedicines12040809

Children (Basel). 2024 Apr 20;11(4):493. doi: 10.3390/children11040493.

ABSTRACT

There is an anecdotal impression that teenage patients report exaggerated postoperative pain scores that do not correlate with their actual level of pain. Nurse and parental perception of teenagers' pain can be complemented by knowledge of patient pain behavior, catastrophizing thoughts about pain, anxiety, and mood level. Two hundred and two patients completed the study-56.4% were female, 89.6% White, 5.4% Black, and 5% were of other races. Patient ages ranged from 11 to 17 years (mean = 13.8; SD = 1.9). The patient, the parent, and the nurse completed multiple questionnaires on day one after laparoscopic surgery to assess patient pain. Teenagers and parents (r = 0.56) have a high level of agreement, and teenagers and nurses (r = 0.47) have a moderate level of agreement on pain scores (p < 0.05). The correlation between patient APBQ (adolescent pain behavior questionnaire) and teenager VAS (visual analog scale) and between nurse APBQ and teenager VAS, while statistically significant (p < 0.05), is weaker (r range = 0.14-0.17). There is a moderate correlation between teenagers' pain scores and their psychological assessments of anxiety, catastrophic thoughts, and mood (r range = 0.26-0.39; p < 0.05). A multi-modal evaluation of postoperative pain can be more informative than only assessing self-reported pain scores.

PMID:38671710 | PMC:PMC11049025 | DOI:10.3390/children11040493

Cancer Chemother Pharmacol. 2024 Apr 27. doi: 10.1007/s00280-024-04661-9. Online ahead of print.

ABSTRACT

PURPOSE: The current candidate gene association study aims to investigate tag SNPs from the TACR1 gene as pharmacogenetic predictors of response to the antiemetic guidelines-recommended, NK-1 receptor antagonist-based, triple antiemetic regimens.

METHODS: A set of eighteen tag SNPs of TACR1 were genotyped in breast cancer patients receiving anthracycline and cyclophosphamide (with/without docetaxel) applying real-time PCR-HRMA. Data analysis for 121 ultimately enrolled patients was initiated by defining haplotype blocks using PHASE v.2.1. The association of each tag SNP and haplotype alleles with failure to achieve the defined antiemetic regimen efficacy endpoints was tested using PLINK (v.1.9 and v.1.07, respectively) based on the logistic regression, adjusting for the previously known chemotherapy-induced nausea and vomiting (CINV) prognostic factors. All reported p-values were corrected using the permutation test (n = 100,000).

RESULTS: Four variants of rs881, rs17010730, rs727156, and rs3755462, as well as haplotypes containing the mentioned variants, were significantly associated with failure to achieve at least one of the defined efficacy endpoints. Variant annotation via in-silico studies revealed that the non-seed sequence variant, rs881, is located in the miRNA (hsa-miR-613) binding site. The other three variants or a variant in complete linkage disequilibrium with them overlap a region of high H3K9ac-promoter-like signature or regions of high enhancer-like signature in the brain or gastrointestinal tissue.

CONCLUSION: Playing an essential role in regulating TACR1 expression, gene polymorphisms of TACR1 serve as the potential pharmacogenetic predictors of response to the NK-1 receptor antagonist-based, triple antiemetic regimens. If clinically approved, modifying the NK-1 receptor antagonist dose leads to better management of CINV in risk-allele carriers.

PMID:38678150 | DOI:10.1007/s00280-024-04661-9

Sci Rep. 2024 Apr 27;14(1):9695. doi: 10.1038/s41598-024-60334-w.

ABSTRACT

High-dose methotrexate (HD-MTX) is a widely used chemotherapy regimen for hematologic malignancies such as lymphomas and acute lymphoblastic leukemia, but its use can lead to adverse effects, including acute kidney injury (AKI), impaired liver function, and mucositis, causing extended hospital stays and delayed subsequent chemotherapy. Our study aimed to investigate the predictive factors for renal toxicities associated with HD-MTX in Thai patients undergoing treatment for hematologic malignancies. We enrolled 80 patients who underwent MTX-containing regimens, analyzing 132 chemotherapy cycles. The most common disease was primary central nervous system lymphoma (33%). Genetic polymorphisms were examined using the MassARRAY® system, identifying 42 polymorphisms in 25 genes. Serum creatinine and MTX levels were measured 24 and 48 h after MTX administration. For the primary outcome, we found that the allele A of MTRR rs1801394 was significantly related to renal toxicity (odds ratio 2.084 (1.001-4.301), p-value 0.047). Patients who exceeded the MTX threshold levels at 24 h after the dose had a significantly higher risk of renal toxicity (OR (95%CI) = 6.818 (2.350-19.782), p < 0.001). Multivariate logistic regression analysis with a generalized estimated equation revealed hypertension and age as independent predictors of increased MTX levels at 24 h after the given dose.

PMID:38678107 | DOI:10.1038/s41598-024-60334-w

Ann Hematol. 2024 Apr 27. doi: 10.1007/s00277-024-05777-x. Online ahead of print.

ABSTRACT

Acute myeloid leukemia (AML) is a highly heterogeneous hematological malignancy. Cytarabine (Ara-C)-based chemotherapy is the primary treatment for AML, but currently known prognostic risk stratification factors cannot fully explain the individual differences in outcome of patients. In this article, we reported that patients with homozygous GLI1 rs2228224 mutation (AA genotype) had a significantly lower complete remission rate than those with GG wild type (54.17% vs.76.02%, OR = 1.993, 95% CI: 1.062-3.504, P = 0.031). GLI1 rs2229300 T allele carriers had remarkably shorter overall survival (513 vs. 645 days, P = 0.004) and disease-free survival (342 vs. 456 days, P = 0.033) than rs2229300 GG carriers. Rs2229300 G > T variation increased the transcriptional activity of GLI1. CCND1, CD44 and PROM1 were potential target genes differentially regulated by GLI1 rs2229300. Our results demonstrated for the first time that GLI1 polymorphisms influence chemosensitivity and prognosis of young de novo AML patients treated with Ara-C.

PMID:38676765 | DOI:10.1007/s00277-024-05777-x

J Ethnopharmacol. 2024 Apr 25:118240. doi: 10.1016/j.jep.2024.118240. Online ahead of print.

ABSTRACT

ETHNOPHARMACOLOGICAL RELEVANCE: Candida auris poses a severe global health threat, with many strains resistant to antifungal treatments, complicating therapy. Exploring natural compounds alongside conventional drugs offers promising therapeutic avenues. The antifungal potential of the ethanolic extract from Caryocar brasiliense (Cb-EE), a plant native to the Brazilian cerrado and renowned for its medicinal properties, was investigated against C. auris.

AIM OF THE STUDY: The study examined the chemical composition, antifungal activity, mechanisms of action, and in vivo effects of Cb-EE.

MATERIALS AND METHODS: Leaves of C. brasiliense were processed to extract ethanolic extract, which was evaluated for phenolic compounds, flavonoids, and tannins. The antifungal capacity was determined through broth microdilution and checkerboard methods, assessing interaction with conventional antifungals.

RESULTS: Cb-EE demonstrated fungistatic activity against various Candida species and Cryptococcus neoformans. Synergy with fluconazole and additive effects with other drugs were observed. Cb-EE inhibited C. auris growth, with the combination of fluconazole extending inhibition. Mechanistic studies revealed interference with fungal membranes, confirmed by sorbitol protection assays, cellular permeability tests, and scanning electron microscopy (SEM). Hemocompatibility and in vivo toxicity tests on Tenebrio molitor showed safety.

CONCLUSION: Cb-EE, alone or in combination with fluconazole, effectively treated C. auris infections in vitro and in vivo, suggesting its prospective role as an antifungal agent against this emerging pathogen.

PMID:38677574 | DOI:10.1016/j.jep.2024.118240

Pharmacol Res. 2024 Apr 25:107196. doi: 10.1016/j.phrs.2024.107196. Online ahead of print.

NO ABSTRACT

PMID:38677533 | DOI:10.1016/j.phrs.2024.107196

Pharmacol Res. 2024 Apr 25:107191. doi: 10.1016/j.phrs.2024.107191. Online ahead of print.

NO ABSTRACT

PMID:38677531 | DOI:10.1016/j.phrs.2024.107191

Hum Psychopharmacol. 2024 Apr 27:e2898. doi: 10.1002/hup.2898. Online ahead of print.

ABSTRACT

OBJECTIVES: The pathology of Tardive Dyskinesia (TD) has yet to be fully understood, but there have been proposed hypotheses for the cause of this condition. Our team previously reported a possible association of TD with the Complement Component C4 gene in the HLA region. In this study, we explored the HLA region further by examining two previously identified schizophrenia-associated HLA-region single-nucleotide polymorphisms (SNPs), namely rs13194504 and rs210133.

METHODS: The SNPs rs13194504 and rs210133 were tested for association with the occurrence and severity of TD in a sample of 172 schizophrenia patients who were recruited for four studies from three different clinical sites in Canada and USA.

RESULTS: The rs13194504 AA genotype was associated with decreased severity for TD as measured by Abnormal Involuntary Movement Scale (AIMS) scores (p = 0.047) but not for TD occurrence. SNP rs210133 was not significantly associated with either TD occurrence or AIMS scores.

CONCLUSION: Our findings suggest that the rs13194504 AA genotype may play a role in TD severity, while SNP rs210133 may not have a major role in the risk or severity of TD.

PMID:38676936 | DOI:10.1002/hup.2898

Curr Drug Saf. 2024 Apr 25. doi: 10.2174/0115748863301630240417071353. Online ahead of print.

ABSTRACT

Depression, a pervasive mental health disorder, affects millions worldwide, necessitating the widespread use of synthetic anti-depressant medications. While these pharmaceutical interventions have demonstrated efficacy in alleviating depressive symptoms, they are not without their associated side effects. This review provides a comprehensive overview of the side effects of synthetic anti-depressants, aiming to enhance the understanding of their clinical implications. Common side effects explored include gastrointestinal disturbances, sexual dysfunction, insomnia, weight gain, and cognitive impairments. Additionally, this review delves into less frequent but potentially severe adverse events, such as serotonin syndrome, hyponatremia, and cardiac complications associated with specific classes of synthetic anti-depressants. Moreover, the review examines the interplay between side effects and treatment adherence, emphasizing the importance of monitoring and managing these effects in clinical practice. It also discusses strategies to mitigate side effects, including dose adjustments, combination therapy, and alternative treatment approaches. In conclusion, this comprehensive review sheds light on the multifaceted landscape of side effects associated with synthetic anti-depressants. By providing clinicians with a nuanced understanding of these effects, it aims to facilitate informed decision-making, personalized treatment plans, and improved patient outcomes in managing depression.

PMID:38676478 | DOI:10.2174/0115748863301630240417071353

Pharmaceuticals (Basel). 2024 Apr 8;17(4):473. doi: 10.3390/ph17040473.

ABSTRACT

Midazolam, a short-acting benzodiazepine, is widely used to alleviate patient anxiety, enhance compliance, and aid in anesthesia. While its side effects are typically dose-dependent and manageable with vigilant perioperative monitoring, serious cardiorespiratory complications, including fatalities and permanent neurological impairment, have been documented. Prolonged exposure to benzodiazepines, such as midazolam, has been associated with neurological changes in infants. Despite attempts to employ therapeutic drug monitoring for optimal sedation dosing, its efficacy has been limited. Consequently, efforts are underway to identify alternative predictive markers to guide individualized dosing and mitigate adverse effects. Understanding these factors is crucial for determining midazolam's suitability for future administration, particularly after a severe adverse reaction. This article aims to elucidate the factors influencing midazolam's pharmacokinetics and pharmacodynamics, potentially leading to adverse events. Finally, a case study is presented to exemplify the complex investigation into the causative factors of midazolam-related adverse events.

PMID:38675433 | DOI:10.3390/ph17040473

Pharmaceutics. 2024 Apr 19;16(4):561. doi: 10.3390/pharmaceutics16040561.

ABSTRACT

BACKGROUND: Pharmacogenomic knowledge as a biomarker for cancer care has transformed clinical practice, however, as current guidelines are primarily derived from Eurocentric populations, this limits their application in Latin America, particularly among Hispanic or Latino groups. Despite advancements, systemic chemotherapy still poses challenges in drug toxicity and suboptimal response. This study explores pharmacogenetic markers related to anticancer drugs in a Chilean cohort, filling a gap in Latin American research. Notably, the influence of native South American Mapuche-Huilliche ancestry.

METHODS: To explore pharmacogenetic markers related to anticancer drugs, we utilized an ethnically Admixed Chilean genome-wide association studies (GWAS) dataset of 1095 unrelated individuals. Pharmacogenomic markers were selected from PharmGKB, totaling 36 level 1 and 2 evidence single nucleotide polymorphisms (SNPs) and 571 level 3 SNPs. Comparative analyses involved assessing SNP frequencies across diverse populations from the 1000 Genomes Project. Haplotypes were estimated, and linkage disequilibrium was examined. Ancestry-based association analyses explored relationships between SNPs and Mapuche-Huilliche and European ancestries. Chi-square distribution with p ≤ 0.05 and Bonferroni's multiple adjustment tests determined statistical differences between allele frequencies.

RESULTS: Our study reveals significant disparities in SNP frequency within the Chilean population. Notably, dihydropyrimidine dehydrogenase (DPYD) variants (rs75017182 and rs67376798), linked to an increased risk of severe fluoropyrimidine toxicity, exhibit an exceptionally low frequency (minor allele frequency (MAF) < 0.005). Nudix hydrolase 15 (NUDT15) rs116855232, associated with hematological mercaptopurine toxicity, is relatively common (MAF = 0.062), and is further linked to Mapuche-Huilliche ancestry. Thiopurine methyltransferase enzyme (TPMT), implicated in severe toxicity to mercaptopurines, SNPs rs1142345 and rs1800460 of TMPT gene demonstrate higher MAFs in Admixed Americans and the Chilean population (MAF range 0.031-0.057). Finally, the variant in the UDP-glucuronosyltransferase 1 gene (UGT1A1) rs4148323, correlated with irinotecan neutropenia, exhibits the highest MAF in East Asian (MAF = 0.136) and Chilean (MAF = 0.025) populations, distinguishing them from other investigated populations.

CONCLUSIONS: This study provides the first comprehensive pharmacogenetic characterization of cancer therapy-related SNPs and highlights significant disparities in SNP frequencies within the Chilean population. Our findings underscore the necessity for inclusive research and personalized therapeutic strategies to ensure the equitable and effective application of precision medicine across diverse global communities.

PMID:38675222 | DOI:10.3390/pharmaceutics16040561

Pharmaceutics. 2024 Apr 7;16(4):503. doi: 10.3390/pharmaceutics16040503.

ABSTRACT

In this work, we conducted a study of the interaction between DNA and favipiravir (FAV). This chemotherapeutic compound is an antiviral drug for the treatment of COVID-19 and other infections caused by RNA viruses. This paper examines the electroanalytical characteristics of FAV. The determined concentrations correspond to therapeutically significant ones in the range of 50-500 µM (R2 = 0.943). We have shown that FAV can be electro-oxidized around the potential of +0.96 V ÷ +0.98 V (vs. Ag/AgCl). A mechanism for electrochemical oxidation of FAV was proposed. The effect of the drug on DNA was recorded as changes in the intensity of electrochemical oxidation of heterocyclic nucleobases (guanine, adenine and thymine) using screen-printed graphite electrodes modified with single-walled carbon nanotubes and titanium oxide nanoparticles. In this work, the binding constants (Kb) of FAV/dsDNA complexes for guanine, adenine and thymine were calculated. The values of the DNA-mediated electrochemical decline coefficient were calculated as the ratio of the intensity of signals for the electrochemical oxidation of guanine, adenine and thymine in the presence of FAV to the intensity of signals for the electro-oxidation of these bases without drug (S, %). Based on the analysis of electrochemical parameters, values of binding constants and spectral data, intercalation was proposed as the principal mechanism of the antiviral drug FAV interaction with DNA. The interaction with calf thymus DNA also confirmed the intercalation mechanism. However, an additional mode of interaction, such as a damage effect together with electrostatic interactions, was revealed in a prolonged exposure of DNA to FAV.

PMID:38675164 | DOI:10.3390/pharmaceutics16040503

Pharmaceutics. 2024 Apr 2;16(4):487. doi: 10.3390/pharmaceutics16040487.

ABSTRACT

Proton-pump inhibitors (PPIs) are the most administered first-line treatment for eosinophilic esophagitis (EoE). However, only around half of EoE patients respond histologically to a double dosage of PPI. In addition, 70% of responders maintain EoE in remission after tapering the PPI dose. In order to avoid endoscopy with biopsies-the only accurate method of assessing PPI response-efforts have been made to identify PPI responder patients. The clinical or endoscopic features and biomarkers evaluated so far, however, have not proven to be sufficient in predicting PPI response. Although new approaches based on omics technologies have uncovered promising biomarkers, the specialized and complex procedures required are difficult to implement in clinical settings. Alternatively, PPI pharmacogenetics based on identifying variations in CYP2C19 and STAT6 genes have shown promising results in EoE, and could easily be performed in most laboratories. Other genetic variations have also been associated with PPI response and may explain those cases not related to CYP2C19 or STAT6. Here, we provide an overview of PPI treatment in EoE and evidence of how genetic variations in CYP2C19 and other genes could affect PPI effectiveness, and also discuss studies evaluating the role of pharmacogenetics in predicting PPI response in patients with EoE.

PMID:38675148 | DOI:10.3390/pharmaceutics16040487

Genes (Basel). 2024 Apr 22;15(4):521. doi: 10.3390/genes15040521.

ABSTRACT

The nomenclature of star alleles has been widely used in pharmacogenomics to enhance treatment outcomes, predict drug response variability, and reduce adverse reactions. However, the discovery of numerous rare functional variants through genome sequencing introduces complexities into the star-allele system. This study aimed to assess the nature and impact of the rapid discovery of numerous rare functional variants in the traditional haplotype-based star-allele system. We developed a new method to construct haplogroups, representing a common ancestry structure, by iteratively excluding rare and functional variants of the 25 representative pharmacogenes using the 2504 genomes from the 1000 Genomes Project. In total, 192 haplogroups and 288 star alleles were identified, with an average of 7.68 ± 4.2 cross-ethnic haplogroups per gene. Most of the haplogroups (70.8%, 136/192) were highly aligned with their corresponding classical star alleles (VI = 1.86 ± 0.78), exhibiting higher genetic diversity than the star alleles. Approximately 41.3% (N = 119) of the star alleles in the 2504 genomes did not belong to any of the haplogroups, and most of them (91.3%, 105/116) were determined by a single variant according to the allele-definition table provided by CPIC. These functional single variants had low allele frequency (MAF < 1%), high evolutionary conservation, and variant deleteriousness, which suggests significant negative selection. It is suggested that the traditional haplotype-based naming system for pharmacogenetic star alleles now needs to be adjusted by balancing both traditional haplotyping and newly emerging variant-sequencing approaches to reduce naming complexity.

PMID:38674455 | DOI:10.3390/genes15040521

Genes (Basel). 2024 Apr 8;15(4):468. doi: 10.3390/genes15040468.

ABSTRACT

In recent years, the FDA has approved numerous anti-cancer drugs that are mutation-based for clinical use. These drugs have improved the precision of treatment and reduced adverse effects and side effects. Personalized therapy is a prominent and hot topic of current medicine and also represents the future direction of development. With the continuous advancements in gene sequencing and high-throughput screening, research and development strategies for personalized clinical drugs have developed rapidly. This review elaborates the recent personalized treatment strategies, which include artificial intelligence, multi-omics analysis, chemical proteomics, and computation-aided drug design. These technologies rely on the molecular classification of diseases, the global signaling network within organisms, and new models for all targets, which significantly support the development of personalized medicine. Meanwhile, we summarize chemical drugs, such as lorlatinib, osimertinib, and other natural products, that deliver personalized therapeutic effects based on genetic mutations. This review also highlights potential challenges in interpreting genetic mutations and combining drugs, while providing new ideas for the development of personalized medicine and pharmacogenomics in cancer study.

PMID:38674402 | DOI:10.3390/genes15040468

Int J Mol Sci. 2024 Apr 17;25(8):4426. doi: 10.3390/ijms25084426.

ABSTRACT

The solute carrier organic anion transporter family member 1B1 (SLCO1B1) encodes the organic anion-transporting polypeptide 1B1 (OATP1B1 protein) that transports statins to liver cells. Common genetic variants in SLCO1B1, such as *5, cause altered systemic exposure to statins and therefore affect statin outcomes, with potential pharmacogenetic applications; yet, evidence is inconclusive. We studied common and rare SLCO1B1 variants in up to 64,000 patients from UK Biobank prescribed simvastatin or atorvastatin, combining whole-exome sequencing data with up to 25-year routine clinical records. We studied 51 predicted gain/loss-of-function variants affecting OATP1B1. Both SLCO1B1*5 alone and the SLCO1B1*15 haplotype increased LDL during treatment (beta*5 = 0.08 mmol/L, p = 6 × 10-8; beta*15 = 0.03 mmol/L, p = 3 × 10-4), as did the likelihood of discontinuing statin prescriptions (hazard ratio*5 = 1.12, p = 0.04; HR*15 = 1.05, p = 0.04). SLCO1B1*15 and SLCO1B1*20 increased the risk of General Practice (GP)-diagnosed muscle symptoms (HR*15 = 1.22, p = 0.003; HR*20 = 1.25, p = 0.01). We estimated that genotype-guided prescribing could potentially prevent 18% and 10% of GP-diagnosed muscle symptoms experienced by statin patients, with *15 and *20, respectively. The remaining common variants were not individually significant. Rare variants in SLCO1B1 increased LDL in statin users by up to 1.05 mmol/L, but replication is needed. We conclude that genotype-guided treatment could reduce GP-diagnosed muscle symptoms in statin patients; incorporating further SLCO1B1 variants into clinical prediction scores could improve LDL control and decrease adverse events, including discontinuation.

PMID:38674010 | DOI:10.3390/ijms25084426

Int J Mol Sci. 2024 Apr 12;25(8):4263. doi: 10.3390/ijms25084263.

ABSTRACT

In this short review we have presented and discussed studies on pharmacogenomics (also termed pharmacogenetics) of the drugs employed in the treatment of β-thalassemia or Sickle-cell disease (SCD). This field of investigation is relevant, since it is expected to help clinicians select the appropriate drug and the correct dosage for each patient. We first discussed the search for DNA polymorphisms associated with a high expression of γ-globin genes and identified this using GWAS studies and CRISPR-based gene editing approaches. We then presented validated DNA polymorphisms associated with a high HbF production (including, but not limited to the HBG2 XmnI polymorphism and those related to the BCL11A, MYB, KLF-1, and LYAR genes). The expression of microRNAs involved in the regulation of γ-globin genes was also presented in the context of pharmacomiRNomics. Then, the pharmacogenomics of validated fetal hemoglobin inducers (hydroxyurea, butyrate and butyrate analogues, thalidomide, and sirolimus), of iron chelators, and of analgesics in the pain management of SCD patients were considered. Finally, we discuss current clinical trials, as well as international research networks focusing on clinical issues related to pharmacogenomics in hematological diseases.

PMID:38673849 | DOI:10.3390/ijms25084263

Int J Mol Sci. 2024 Apr 9;25(8):4145. doi: 10.3390/ijms25084145.

ABSTRACT

The high content of bioactive compounds in Aronia melanocarpa fruit offers health benefits. In this study, the anti-atherosclerotic effect of Aronia extracts was assessed. The impact on the level of adhesion molecules and the inflammatory response of human umbilical vein endothelial cells (HUVECs) was shown in relation to the chemical composition and the stage of ripening of the fruits. Samples were collected between May (green, unripe) and October (red, overripe) on two farms in Poland, which differed in climate. The content of chlorogenic acids, anthocyanins, and carbohydrates in the extracts was determined using HPLC-DAD/RI. The surface expression of ICAM-1 and VCAM-1 in HUVECs was determined by flow cytometry. The mRNA levels of VCAM-1, ICAM-1, IL-6, and MCP-1 were assessed using the quantitative real-time PCR method. The farms' geographical location was associated with the quantity of active compounds in berries and their anti-atherosclerotic properties. Confirmed activity for green fruits was linked to their high chlorogenic acid content.

PMID:38673738 | DOI:10.3390/ijms25084145

J Pers Med. 2024 Apr 15;14(4):418. doi: 10.3390/jpm14040418.

ABSTRACT

Precision medicine (PM), also termed stratified, individualised, targeted, or personalised medicine, embraces a rapidly expanding area of research, knowledge, and practice. It brings together two emerging health technologies to deliver better individualised care: the many "-omics" arising from increased capacity to understand the human genome and "big data" and data analytics, including artificial intelligence (AI). PM has the potential to transform an individual's health, moving from population-based disease prevention to more personalised management. There is however a tension between the two, with a real risk that this will exacerbate health inequalities and divert funds and attention from basic healthcare requirements leading to worse health outcomes for many. All areas of medicine should consider how this will affect their practice, with PM now strongly encouraged and supported by government initiatives and research funding. In this review, we discuss examples of PM in current practice and its emerging applications in primary care, such as clinical prediction tools that incorporate genomic markers and pharmacogenomic testing. We look towards potential future applications and consider some key questions for PM, including evidence of its real-world impact, its affordability, the risk of exacerbating health inequalities, and the computational and storage challenges of applying PM technologies at scale.

PMID:38673045 | DOI:10.3390/jpm14040418