Search Results (962)

Cancer pain is a highly prevalent problem and one of the most distressing symptoms in cancer patients. The management of cancer pain is one of the most significant challenges in the care of these patients. Cancer pain must be treated quickly and effectively as it affects the quality of life and reduces the patient’s life expectancy. Major opioids are recognized by the World Health Organization (WHO) as first-line treatment for moderate to severe cancer pain, but their use is often hampered by individual variations, comorbidities, and complications associated with cancer. Since the simultaneous use of two major opioids has become frequent, a narrative review was conducted, whose main objectives were to evaluate whether the combination of two major opioids improves pain and quality of life in cancer patients, considering their pharmacodynamic and pharmacokinetic properties and evaluate the impact of this combination on the frequency and intensity of side effects. The search for information was carried out in evidence-based medicine databases, namely PubMed/MEDLINE, Cochrane Library, Database of Abstracts of Reviews of Effects, National Guideline Clearinghouse, NHS Evidence and Index das Revistas Médicas Portuguesas using the MeSH terms “opioids” and “quality of life”. Articles and documents published between 1 January 2010 and 1 June 2023, in English, Portuguese and Spanish, were considered, including original articles, meta-analyses, systematic reviews and clinical guidelines. A total of 342 articles were retrieved and of these, only 13 were selected for full reading. The combination of opioids is based on the principle that different opioids act through different mechanisms, which can reduce dose-related adverse effects. Simultaneous use of two major opioids may allow for more modest increases in the equivalent dose of the second opioid, providing better pain control and reduced side effects such as nausea, vomiting, and constipation. More studies on the combination of opioids are needed to improve cancer pain treatment. The lack of personalized therapies limits the effectiveness of opioids, and variability in treatment responses requires individualized approaches. Personalized medicine, based on pharmacogenomics, is one of the most promising strategies to optimize pain relief and reduce adverse effects. Full article

Background/Objectives: Recent advances in stroke genetics have substantially enhanced our understanding of the complex genetic architecture underlying cerebral infarction and other stroke subtypes. As knowledge in this field expands, healthcare providers must remain informed about these latest developments. This review aims to provide a comprehensive overview of recent advances in stroke genetics, with a focus on cerebral infarction, and discuss their potential impact on patient care and future research directions. Methods: We reviewed recent literature about advances in stroke genetics, focusing on cerebral infarction, and discussed their potential impact on patient care and future research directions. Key developments include the identification of monogenic stroke syndromes, such as cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy, and cerebral autosomal recessive arteriopathy with subcortical infarcts and leukoencephalopathy caused by mutations in the NOTCH3 and HTRA1 genes, respectively. In addition, the role of RNF213 in moyamoya disease and other cerebrovascular disorders, particularly in East Asian populations, has been elucidated. The development of polygenic risk scores for assessing genetic predisposition to stroke has demonstrated the potential to improve risk prediction beyond traditional factors. Genetic studies have also elucidated the distinct genetic architecture of stroke subtypes, including large artery atherosclerosis, small vessel disease, and cardioembolic stroke. Furthermore, the investigation of epigenetic modifications influencing stroke risk and its outcomes has revealed new research avenues, while advancements in pharmacogenomics highlight the potential for personalized stroke treatment based on individual genetic profiles. Conclusions: These genetic discoveries have important clinical implications, including improved risk stratification, targeted prevention strategies, and the development of novel therapeutic approaches. Full article

Background/Objectives: Metered-dose inhalers (MDIs) and dry powder inhalers (DPIs) are common inhaled corticosteroid (ICS) inhaler devices. The difference in formulation and administration technique of these devices may influence oral cavity microbiota composition. We aimed to compare the saliva microbiome in children with moderate-to-severe asthma using ICS via MDIs versus DPIs. Methods: Saliva samples collected from 143 children (6–17 yrs) with moderate-to-severe asthma across four European countries (The Netherlands, Germany, Spain, and Slovenia) as part of the SysPharmPediA cohort were subjected to 16S rRNA sequencing. The microbiome was compared using global diversity (α and β) between two groups of participants based on inhaler devices (MDI (n = 77) and DPI (n = 65)), and differential abundance was compared using the Analysis of Compositions of Microbiomes with the Bias Correction (ANCOM-BC) method. Results: No significant difference was observed in α-diversity between the two groups. However, β-diversity analysis revealed significant differences between groups using both Bray–Curtis and weighted UniFrac methods (adjusted p-value = 0.015 and 0.044, respectively). Significant differential abundance between groups, with higher relative abundance in the MDI group compared to the DPI group, was detected at the family level [Carnobacteriaceae (adjusted p = 0.033)] and at the genus level [Granulicatella (adjusted p = 0.021) and Aggregatibacter (adjusted p = 0.011)]. Conclusions: Types of ICS devices are associated with different saliva microbiome compositions in moderate-to-severe pediatric asthma. The causal relation between inhaler types and changes in saliva microbiota composition needs to be further evaluated, as well as whether this leads to different potential adverse effects in terms of occurrence and level of severity. Full article

The aim of this review is to analyze natural substances exhibiting antibacterial and antifungal activity against skin pathogens, along with their exemplary applications in cosmetic products. Growing concerns related to increasing infection rates and pathogen resistance have prompted the search for alternative therapeutic methods. This article discusses various natural products, derived from plants, animals, and minerals, with antimicrobial potential. Special attention is given to the antimicrobial efficacy of natural substances derived from Allium L., Salvia L., Lavandula L., Origanum L., Melaleuca alternifolia., Aloe vera, Black Cumin, and Trigonella L. in improving treatment outcomes, either alone or in combination with conventional medications. In addition, the presented natural products, such as propolis, honey, cosmetic mud, and clays, can serve as viable alternatives or complementary treatments for mild skin infections and may help prevent recurrence. The promising potential of these natural products encourages further research into discovering new antimicrobial agents. However, the lack of standardization of natural preparations can result in inconsistent therapeutic effects and unforeseen side effects. This review significantly contributes to the pharmaceutical and cosmetic industries by emphasizing the potential of natural products and highlighting the need for further research and regulatory measures to ensure their safe and effective integration with existing therapies. Full article

Background/Objectives: Periodontitis is an inflammatory disease induced by bacteria in dental plaque that can activate the host’s immune-inflammatory response and invade the bloodstream. We hypothesized that a higher periodontal inflamed surface area (PISA) is associated with higher levels of inflammatory biomarkers, lower levels of antioxidants, and mitochondrial DNA copy number (mtDNAcn). Methods: Using periodontal parameters, we calculated the PISA score, measured the levels of inflammatory biomarkers and antioxidants in the serum, and took buccal swabs for mtDNA and nuclear DNA (nDNA) extraction. Results: Higher PISA was associated with higher CRP levels, higher leukocyte, neutrophil, and erythrocyte counts, and lower magnesium-to-calcium ratio, but not with mtDNAcn. A higher number of deep pockets was associated with higher leukocytes and neutrophil counts and higher uric acid levels. Conclusions: The PISA score might be an appropriate parameter to assess the inflammatory burden of periodontitis, but not to assess mitochondrial dysfunction after mtDNA isolation from buccal swabs. Full article

Tacrolimus and mycophenolate are important immunosuppressive agents used to prevent organ rejection in post-transplant patients. While highly effective, their use is associated with significant toxicity, requiring careful management. Tacrolimus, a calcineurin inhibitor, is linked to nephrotoxicity, neurotoxicity, metabolic disturbances such as diabetes mellitus and dyslipidemia, and cardiovascular complications such as hypertension and arrhythmias. Mycophenolate, a reversible inhibitor of inosine monophosphate dehydrogenase, frequently causes gastrointestinal disturbances, including diarrhea and colitis, as well as hematologic side effects like anemia and leukopenia, which increase infection risk. Therapeutic drug monitoring (TDM) and pharmacogenomics have emerged as essential strategies for mitigating these toxicities. TDM ensures tacrolimus trough levels are maintained within a therapeutic range, minimizing the risks of nephrotoxicity and rejection. Pharmacogenomic insights, such as CYP3A5 polymorphisms, allow for personalized tacrolimus dosing based on individual metabolic profiles. For mycophenolate, monitoring inosine monophosphate dehydrogenase activity provides a pharmacodynamic approach to dose optimization, reducing gastrointestinal and hematologic toxicities. Emerging tools, including dried blood spot sampling and pharmacokinetic modeling, offer innovative methods to simplify monitoring and enhance precision in outpatient settings. Despite their utility, the toxicity profiles of these drugs, including those of early immunosuppressants such as cyclosporine and azathioprine, necessitate further consideration of alternative immunosuppressants like sirolimus, everolimus, and belatacept. Although promising, these newer agents require careful patient selection and further research. Future directions in immunosuppressive therapy include integrating individual pharmacogenetic data to refine dosing, minimize side effects, and improve long-term graft outcomes. This narrative review underscores the importance of personalized medicine and advanced monitoring in optimizing post-transplant care. Full article

Chronic kidney disease (CKD) is a major worldwide health concern because of its progressive nature and complex biology. Traditional diagnostic and therapeutic approaches usually fail to account for disease heterogeneity, resulting in low efficacy. Precision medicine offers a novel approach to studying kidney disease by combining omics technologies such as genomics, transcriptomics, proteomics, metabolomics, and epigenomics. By identifying discrete disease subtypes, molecular biomarkers, and therapeutic targets, these technologies pave the way for personalized treatment approaches. Multi-omics integration has enhanced our understanding of CKD by revealing intricate molecular linkages and pathways that contribute to treatment resistance and disease progression. While pharmacogenomics offers insights into expected responses to personalized treatments, single-cell and spatial transcriptomics can be utilized to investigate biological heterogeneity. Despite significant development, challenges persist, including data integration concerns, high costs, and ethical quandaries. Standardized data protocols, collaborative data-sharing frameworks, and advanced computational tools such as machine learning and causal inference models are required to address these challenges. With the advancement of omics technology, nephrology may benefit from improved diagnostic accuracy, risk assessment, and personalized care. By overcoming these barriers, precision medicine has the potential to develop novel techniques for improving patient outcomes in kidney disease treatment. Full article

Targeted metabolomics and lipidomics are increasingly utilized in clinical research, providing quantitative and comprehensive assessments of metabolic profiles that underlie physiological and pathological mechanisms. These approaches enable the identification of critical metabolites and metabolic alterations essential for accurate diagnosis and precision treatment. Mass spectrometry, in combination with various separation techniques, offers a highly sensitive and specific platform for implementing targeted metabolomics and lipidomics in clinical settings. Nevertheless, challenges persist in areas such as sample collection, quantification, quality control, and data interpretation. This review summarizes recent advances in targeted metabolomics and lipidomics, emphasizing their applications in clinical research. Advancements, including microsampling, dynamic multiple reaction monitoring, and integration of ion mobility mass spectrometry, are highlighted. Additionally, the review discusses the critical importance of data standardization and harmonization for successful clinical implementation. Full article

Background: Osteosarcoma is a rare disease, but it is the most frequent malignant bone tumor. Primary treatment consists of preoperative MAP (methotrexate (MTX), doxorubicin and cisplatin) chemotherapy followed by surgery and adjuvant chemotherapy. Pathological response to preoperative chemotherapy is one of the most important prognostic factors, but molecular biomarkers are lacking. Additionally, chemotherapy-induced toxicity might jeopardize treatment completion. We evaluated variants in genes involved in DNA repair and drug metabolism pathways as predictors of response to MAP-based treatment. Material and Methods: Germline polymorphisms in MTHFR, SLC19A1, ABCB1, ABCC2, ABCC3, ERCC1, ERCC2 and GSTP1 genes were determined for association studies in 69 patients diagnosed with localized osteosarcoma who enrolled in the prospective GEIS-33 trial. P-glycoprotein expression in tumor tissue was also analyzed. Results: In the multivariate analysis, the ABCC2 rs2273697 (odds ratio [OR] 12.3, 95% CI 2.3–66.2; p = 0.003) and ERCC2 rs1799793 (OR 9.6, 95% CI 2.1–43.2; p = 0.003) variants were associated with poor pathological response. P-glycoprotein expression did not correlate with pathological response. The ABCB1 rs1128503 (OR 11.4, 95% CI 2.2–58.0; p = 0.003) and ABCC3 rs4793665 (OR 12.0, 95% CI 2.1–70.2; p = 0.006) variants were associated with MTX grade 3–4 hepatotoxicity. Conclusions: Our findings add to the evidence that genetic variants in the ABC transporters and DNA-repair genes may serve as predictive biomarkers for MAP chemotherapy and contribute to treatment personalization. Full article

Colorectal cancer (CRC) is the third most common neoplasm in the world and the second with the highest mortality rate. Single nucleotide polymorphisms (SNPs) in microRNA (miRNA) genes known as mirSNPs may be related to dysregulated miRNA expression in several neoplasms. This systematic review aims to investigate studies that investigate SNPs located in regions of miRNA genes that influence their expression and are associated with CRC, as well as their potential as biomarkers for the disease, based on the available literature. For this, searches were performed in public databases, including MEDLINE/PubMed, Embase, Web of Science, and Scopus. The rigorous review of the PRISMA 2020 guidelines and the methodological quality of these studies was assessed using the Newcastle–Ottawa scale and the Mixed Methods Assessment Tool. Of the 175 studies identified, 26 were considered eligible: 18 of them highlighted mirSNPs as potential biomarkers of risk and prognosis for CRC; 4 studies suggested a protective role; 1 study linked mirSNPs to treatment; 3 studies found no relevant evidence. These results highlight the importance of conducting further research on the topic, given the potential of these biomarkers to contribute to risk assessment, prognosis, and the development of therapeutic strategies for patients with CRC. Full article

Background/Objectives: The integration of pharmacogenetic (PGx) testing into primary care has not been widely implemented, despite its benefits for patients and providers. PGx testing could also reduce health disparities as patients with lower healthcare access are prescribed higher proportions of medications with PGx guidelines. Little is known about the preferences of patients who have experienced PGx testing to inform implementation across the care process. This qualitative study aimed to refine implementation by capturing patient preferences on (1) testing and prescription timing, (2) patient–clinician discussion of results during post-test counseling, and (3) usability of a card during results dissemination. Methods: Interviews were conducted with 25 primary care patients from clinics primarily serving medically underserved populations. Interview transcripts were thematically analyzed using a constant comparative approach. Results: While patients supported both reactive and pre-emptive testing, they valued pre-emptive PGx testing because it is proactive for future health needs, expedites treatment, and is convenient. Patients’ preferences for receiving prescriptions depended on several factors: having immediate access to needed medications, avoiding experiencing medication side effects and interactions, avoiding taking ineffective medications, and avoiding inconveniences. Patients identified three issues critical to patient–clinician interactions when receiving testing results: information specific to medications, clarification and further information about their results, and enhanced clinician accessibility related to the results. Lastly, they liked that the results card could facilitate discussions with clinicians and was informative and convenient but said it lacked clarity. Conclusions: These findings should inform implementation strategies for integrating PGx testing in primary care for underserved patients. Full article

Pharmacogenomics (PGx) has revolutionized personalized medicine by empowering the tailoring of drug treatments based on individual genetic profiles. However, the complexity of drug response mechanisms necessitates the integration of additional biological and environmental factors. This article explores integrating epigenetics, nutrigenomics, microbiomes, protein interactions, exosomes, and metabolomics with PGx to enhance personalized medicine. In addition to discussing these scientific advancements, we examine the regulatory and ethical challenges of translating multi-omics into clinical practice, including considerations of data privacy, regulatory oversight, and equitable access. By framing these factors within the context of Medication Adherence, Medication Appropriateness, and Medication Adverse Events (MA³), we aim to refine therapeutic strategies, improve drug efficacy, and minimize adverse effects, with the goal of improving personalized medicine. This approach has the potential to benefit patients, healthcare providers, payers, and the healthcare system as a whole by enabling more precise and effective treatments. Full article

Neurodegenerative diseases, such as Alzheimer’s, Parkinson’s, ALS, and Huntington’s, remain formidable challenges in medicine, with their relentless progression and limited therapeutic options. These diseases arise from a web of molecular disturbances—misfolded proteins, chronic neuroinflammation, mitochondrial dysfunction, and genetic mutations—that slowly dismantle neuronal integrity. Yet, recent scientific breakthroughs are opening new paths to intervene in these once-intractable conditions. This review synthesizes the latest insights into the underlying molecular dynamics of neurodegeneration, revealing how intertwined pathways drive the course of these diseases. With an eye on the most promising advances, we explore innovative therapies emerging from cutting-edge research: nanotechnology-based drug delivery systems capable of navigating the blood–brain barrier, gene-editing tools like CRISPR designed to correct harmful genetic variants, and stem cell strategies that not only replace lost neurons but foster neuroprotective environments. Pharmacogenomics is reshaping treatment personalization, enabling tailored therapies that align with individual genetic profiles, while molecular diagnostics and biomarkers are ushering in an era of early, precise disease detection. Furthermore, novel perspectives on the gut–brain axis are sparking interest as mounting evidence suggests that microbiome modulation may play a role in reducing neuroinflammatory responses linked to neurodegenerative progression. Taken together, these advances signal a shift toward a comprehensive, personalized approach that could transform neurodegenerative care. By integrating molecular insights and innovative therapeutic techniques, this review offers a forward-looking perspective on a future where treatments aim not just to manage symptoms but to fundamentally alter disease progression, presenting renewed hope for improved patient outcomes. Full article

Background/Objectives: MIR27A rs895819 polymorphism has emerged as a potential additional pharmacogenomic marker of fluoropyrimidine response. Current evidence on its potential effect on miR-27a expression, which represses DPD activity, leading to DPD deficiency and increased fluoropyrimidine-associated toxicity risk, is scarce and inconsistent. We have analyzed the effect of MIR27A rs895819 polymorphism on miR-27a-3p plasma expression levels under different models of inheritance to contribute further evidence on its plausible biological role in miR-27a expression. Methods: A total of 59 individuals with no medical history of cancer were included in this study. MIR27A rs895819 genotyping and miR-27a-3p expression were analyzed by using predesigned TaqMan assays. Results: The frequency of TT, TC, and CC genotypes was present at a prevalence of 50.8%, 44.1%, and 5.1%, respectively. Individuals carrying the CC genotype presented with decreased miR-27a-3p expression (0.422 fold-change versus TT, p = 0.041; 0.461 fold-change versus TC, p = 0.064), whereas no differences were present between TT and TC individuals (1.092 fold-change, p = 0.718). miR-27a-3p expression was decreased in CC individuals under a recessive model of inheritance (0.440 fold-change, p = 0.047). No differences were found in dominant (TT vs. TC+CC, 0.845 fold-change, p = 0.471) or over dominant (TT+CC vs. TC, 0.990 fold-change, p = 0.996) models of inheritance. Conclusions: MIR27A rs895819CC genotype leads to severely reduced miR-27a-3p expression in plasma. Further study of this association is warranted in cancer patients to apply MIR27A genotyping in therapeutics to identify fluoropyrimidine-treated patients who are at a decreased risk of experiencing fluoropyrimidine-induced severe toxicity. Full article

CYP3As are important drug-metabolizing enzymes in the liver. The causes for large inter-person variability in CYP3A expression/activity remain poorly understood. DNA methylation broadly regulates gene expression and the developmental transition from fetal CYP3A7 to adult CYP3A4, and CpG methylation upstream of the CYP3A4 promoter is associated with its expression. However, because non-promoter CYP3A regulatory regions remain largely uncharacterized, how DNA methylation influences CYP3A expression has yet to be fully explored. We recently identified a distal regulatory region (DRR) that controls the expression of CYP3A4, CYP3A5, and CYP3A7. Here, we investigated the relationship between CYP3A expression and the methylation status of 16 CpG sites within the DRR in 70 liver samples. We found significant associations between DRR methylation and the expression of CYP3A5 and CYP3A7 but not CYP3A4, indicating differential CYP3A regulation by the DRR. Also, we observed a dynamic reduction in DRR DNA methylation during the differentiation of induced pluripotent stem cells to hepatocytes, which correlated with increased CYP3A expression. We then evaluated the relative contribution of genetic variants, TFs, and DRR DNA methylation on CYP3A expression in liver samples. Our results reinforce the DRR as a CYP3A regulator and suggest that DNA methylation may impact CYP3A-mediated drug metabolism. Full article