Enhance Treatment Efficacy Research Articles

Natural Food Components as Biocompatible Carriers: A Novel Approach to Glioblastoma Drug Delivery.

Efficient drug delivery methods are crucial in modern pharmacotherapy to enhance treatment efficacy, minimize adverse effects, and improve patient compliance. Particularly in the context of glioblastoma treatment, there has been a recent surge in interest in using natural dietary components as innovative carriers for drug delivery. These food-derived carriers, known for their safety, biocompatibility, and multifunctional properties, offer significant potential in overcoming the limitations of conventional drug delivery systems. This article thoroughly overviews numerous natural dietary components, such as polysaccharides, proteins, and lipids, used as drug carriers. Their mechanisms of action, applications in different drug delivery systems, and specific benefits in targeting glioblastoma are examined. Additionally, the safety, biocompatibility, and regulatory considerations of employing food components in drug formulations are discussed, highlighting their viability and future prospects in the pharmaceutical field.

Positron Emission Tomography‐Assisted Photothermal Therapy with Gold Nanorods

AbstractPhotothermal anticancer therapy based on plasmonic nanoparticles is proposed to enhance treatment efficacy while mitigating unintended side effects. However, most studies blindly rely on the accumulation of nanoparticles at the tumor site, which may result in inefficient treatment. In this study, the aim is to evaluate relevant parameters to improve plasmonic photothermal therapy. Gold nanorods (AuNRs) with an optimized aspect ratio and either amino or carboxylic acid surface functionalization are selected as photothermal agents. AuNR biocompatibility and photothermal activity in 2D and 3D human MDA‐MB‐231 triple‐negative breast cancer cell models, evaluating localized hyperthermal cell death upon irradiation with resonant near‐infrared (NIR) light, are analyzed first. To ensure reliable tracking of biodistribution in vivo, AuNRs are labeled with the positron emitter copper‐64 (64Cu), and their distribution in a murine MDA‐MB‐231 tumor model is studied via positron emission tomography (PET) imaging. PET images reveal enhanced tumor accumulation of carboxylic acid‐functionalized AuNRs compared to amino‐functionalized AuNRs post‐intravenous administration. Relatively low NIR laser power densities (0.5 W cm−2) are used for controlled heating – keeping local temperature below 50 °C – upon irradiation of intravenously and intratumorally administered AuNRs. As a result, tumor growth is significantly decelerated, even 9 days after application of photothermal therapy.

Enhancing Electric Field Distribution in the Pancreas for Improved TTFields Therapy: A Computational Modeling Investigation.

Tumor treating fields (TTFields) therapy has shown effectiveness in glioblastoma treatment and holds potential for other cancers. However, its application in pancreatic cancer and the distribution of electric fields in pancreas remain unexplored. This study aims to investigate the electric field distributions in pancreatic regions using different array configurations for TTFields therapy. Computational modelling was employed to simulate electric field distributions, and quantitative analysis was conducted. Human body impedance measurements were used to optimize the electric properties of the model. Various array configurations were examined to assess their impact on the electric field distributions. The study revealed that well-positioned arrays, specifically the combination of 20-piece transducer arrays in anterior-posterior orientation and 13-piece transducer arrays in left-right orientation, consistently achieved electric fields exceeding the 1V/cm threshold in over 99.4% of the pancreas. Even with a reduced number of transducers (13 pieces for both orientations), sufficient electric field coverage was achieved, exceeding the threshold in over 92.9% of the pancreas. Additionally, different array placements within the same orientation were explored to address clinical challenges such as skin rash and patient anatomical variations. This research lays the groundwork for understanding TTFields distribution within the abdomen, offering insights into optimizing array configurations for improved electric field delivery. The findings have the potential to guide practical designs of TTFields devices, enhance treatment efficacy, and improve patient outcomes. These results offer promises of advancing TTFields therapy for pancreatic cancer towards clinical applications, and potentially enhancing treatment efficacy and patient outcomes.

The activation of the G-protein-coupled estrogen receptor promotes the aggressiveness of MDA-MB231 cells by targeting the IRE1α/TXNIP pathway

Background and purpose: This study investigated modulating the G protein-coupled estrogen receptor (GPER) on the IRElα/TXNIP pathway and its role in drug resistance in MDA-MB231 cells. Experimental approach: To determine the optimal concentrations of G1 and 4-hydroxytamoxifen (TAM), GPER expression and ERK1/2 phosphorylation were analyzed using qRT-PCR and western blotting, respectively. Cells were treated with individual concentrations of G1 (1000 nM), G15 (1000 nM), and TAM (2000 nM), as well as combinations of these treatments (G1 + G15, TAM + G15, and G1 + TAM) for 24 and 48 h. The expression levels of GPER, IRE1α, miR-17-5p, TXNIP, ABCB1, and ABCC1 genes and TXNIP protein expression were evaluated. Finally, apoptosis and cell migration were examined using flow cytometry and the wound-healing assay, respectively. Findings/Results: Activating GPER with its specific agonist G1 and TAM significantly increased IRE1α levels in MDA-MB231 cells. IRE1α through splicing XBP1 led to unfolded protein response. In addition, decreased TXNIP gene and protein expression reduced apoptosis, increased migration, and upregulated the genes associated with drug resistance. Conclusion and implication: Our investigation revealed that blocking the GPER/IRE1α/TXNIP pathway in MDA-MB231 cells could enhance treatment efficacy and improve chemotherapy responsiveness. The distinct unfolded protein response observed in MDA-MB231 cells may stem from the unique characteristics of these cells, which lack receptors for estrogen, progesterone, and HER2/neu hormones, possessing only the GPER receptor (ER-/PR-/HER2-/GPER+). This study introduced a new pathway in TNBC cells, indicating that targeting GPER could be crucial in comprehensive therapeutic strategies in TNBC cells.

Overexpression of SLC2A1, ALDOC, and PFKFB4 in the glycolysis pathway drives strong drug resistance in 3D HeLa tumor cell spheroids.

The 3D multicellular tumor spheroid (MTS) model exhibits enhanced fidelity in replicating the tumor microenvironment and demonstrates exceptional resistance to clinical drugs compared to the 2D monolayer model. In this study, we used multiomics (transcriptome, proteomics, and metabolomics) tools to explore the molecular mechanisms and metabolic differences of the two culture models. Analysis of Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment pathways revealed that the differentially expressed genes between the two culture models were mainly enriched in cellular components and biological processes associated with extracellular matrix, extracellular structural organization, and mitochondrial function. An integrated analysis of three omics data revealed 11 possible drug resistance targets. Among these targets, seven genes, AKR1B1, ALDOC, GFPT2, GYS1, LAMB2, PFKFB4, and SLC2A1, exhibited significant upregulation. Conversely, four genes, COA7, DLD, IFNGR1, and QRSL1, were significantly downregulated. Clinical prognostic analysis using the TCGA survival database indicated that high-expression groups of SLC2A1, ALDOC, and PFKFB4 exhibited a significant negative correlation with patient survival. We further validated their involvement in chemotherapy drug resistance, indicating their potential significance in improving prognosis and chemotherapy outcomes. These results provide valuable insights into potential therapeutic targets that can potentially enhance treatment efficacy and patient outcomes.

Exploring the interplay between bisphenol A exposure, the immune microenvironment and hepatocellular carcinoma progression.

Hepatocellular carcinoma (HCC) remains a formidable challenge in oncology, with its pathogenesis and progression influenced by myriad factors. Among them, the pervasive organic synthetic compound, bisphenol A (BPA), previously linked with various adverse health effects, has been speculated to play a role. This study endeavors to elucidate the complex interplay between BPA, the immune microenvironment of HCC, and the broader molecular landscape of this malignancy. A comprehensive analysis was undertaken using data procured from both The Cancer Genome Atlas and the Comparative Toxicogenomics Database. Rigorous differential expression analyses were executed, supplemented by Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analyses. In addition, single-sample gene set enrichment analysis, gene set enrichment analysis and gene set variation analysis were employed to reveal potential molecular links and insights. Immune infiltration patterns were delineated, and a series of in vitro experiments on HCC cells were conducted to directly assess the impact of BPA exposure. Our findings unveiled a diverse array of active immune cells and functions within HCC. Distinct correlations emerged between high-immune-related scores, established markers of the tumor microenvironment and the expression of immune checkpoint genes. A significant discovery was the identification of key genes simultaneously associated with immune-related pathways and BPA exposure. Leveraging these genes, a prognostic model was crafted, offering predictive insights into HCC patient outcomes. Intriguingly, in vitro studies suggested that BPA exposure could promote proliferation in HCC cells. This research underscores the multifaceted nature of HCC's immune microenvironment and sheds light on BPA's potential modulatory effects therein. The constructed prognostic model, if validated further, could serve as a robust tool for risk stratification in HCC, potentially guiding therapeutic strategies. Furthermore, the implications of the findings for immunotherapy are profound, suggesting new avenues for enhancing treatment efficacy. As the battle against HCC continues, understanding of environmental modulators like BPA becomes increasingly pivotal.

Exploration of the Human Microbiome’s Role in Health and Disease through the Lens of Genetics

The human microbiome is a complex ecosystem of bacteria residing in the body. It plays a crucial role in safeguarding the overall well-being of individuals while also making them more vulnerable to various diseases. The human microbiota, genetics, and health have a complex connection, which is significant for maintaining health and preventing infections. The microbiome has a role in several gastrointestinal, skin, dental, and systemic diseases, such as obesity, diabetes, and autoimmune disorders. Genetic variation and lifestyle and dietary choices modify the microbiome composition, thereby influencing the risk of developing severe infections. The microbiome impacts host gene expression and acts as a biomarker for several diseases. The gut microbiome and genes are linked in the pathogenesis of obesity and inflammatory bowel disease. Therefore, this review focuses on the relationship between the microbiome and genetics and elucidation of the complexity of this connection. Future research-based microbiome interventions to prevent diseases could lead to strategies for personalized medicine that enhance treatment efficacy and health outcomes.

Novel strategies in HPV‑16‑related cervical cancer treatment: An in vitro study of combined siRNA-E5 with oxaliplatin and ifosfamide chemotherapy

BackgroundCervical cancer, primarily caused by HPV infection, remains a global health concern. Current treatments face challenges including drug resistance and toxicity. This study investigates combining E5-siRNA with chemotherapy drugs, Oxaliplatin and Ifosfamide, to enhance treatment efficacy in HPV-16 positive cervical cancer cells, targeting E5 oncoprotein to overcome limitations of existing therapies. MethodsThe CaSki cervical cancer cell line was transfected with E5-siRNA, and subsequently treated with Oxaliplatin/Ifosfamide. Quantitative real-time PCR was employed to assess the expression of related genes including p53, MMP2, Nanog, and Caspases. Cell apoptosis, cell cycle progression, and cell viability were evaluated using Annexin V/PI staining, DAPI staining, and MTT test, respectively. Furthermore, stemness ability was determined through a colony formation assay, and cell motility was assessed by wound healing assay. ResultsE5-siRNA transfection significantly reduced E5 mRNA expression in CaSki cells compared to the control group. The MTT assay revealed that monotherapy with E5-siRNA, Oxaliplatin, or Ifosfamide had moderate effects on cell viability. However, combination therapy showed synergistic effects, reducing the IC50 of Oxaliplatin from 11.42 × 10−8 M (45.36 μg/ml) to 6.71 × 10−8 M (26.66 μg/ml) and Ifosfamide from 12.52 × 10−5 M (32.7 μg/ml) to 8.206 × 10−5 M (21.43 μg/ml). Flow cytometry analysis demonstrated a significant increase in apoptosis for combination treatments, with apoptosis rates rising from 11.02 % (Oxaliplatin alone) and 16.98 % (Ifosfamide alone) to 24.8 % (Oxaliplatin + E5-siRNA) and 34.9 % (Ifosfamide + E5-siRNA). The sub-G1 cell population increased from 15.7 % (Oxaliplatin alone) and 18 % (Ifosfamide alone) to 21.9 % (Oxaliplatin + E5-siRNA) and 27.1 % (Ifosfamide + E5-siRNA), indicating cell cycle arrest. The colony formation assay revealed a substantial decrease in the number of colonies following combination treatment. qRT-PCR analysis showed decreased expression of stemness-related genes CD44 and Nanog, and migration-related genes MMP2 and CXCL8 in the combination groups. Apoptosis-related genes Casp-3, Casp-9, and pP53 showed increased expression following combination therapy, while BAX expression increased and BCL2 expression decreased relative to the control. ConclusionThe study demonstrates that combining E5-siRNA with Oxaliplatin or Ifosfamide enhances the efficacy of chemotherapy in HPV-16 positive cervical cancer cells. This synergistic approach effectively targets multiple aspects of cancer cell behavior, including proliferation, apoptosis, migration, and stemness. The findings suggest that this combination strategy could potentially allow for lower chemotherapy doses, thereby reducing toxicity while maintaining therapeutic efficacy. This research provides valuable insights into targeting HPV E5 as a complementary approach to existing therapies focused on E6 and E7 oncoproteins, opening new avenues for combination therapies in cervical cancer treatment.

Gingerol nanoparticles attenuate complete Freund adjuvant-induced arthritis in rats via targeting the RANKL/OPG signaling pathway.

Rheumatoid arthritis (RA) is characterized by inflammatory joint pathology leading to the degradation of articular bone and cartilage, primarily triggered by synovial inflammation, resulting in joint discomfort. The metacarpophalangeal and proximal interphalangeal joints are predominantly affected. Treatment typically involves a combination of biological and synthetic disease-modifying antirheumatic drugs (DAMARDs) alongside steroid therapy. The application of nanomedicine has been instrumental in enhancing treatment efficacy by facilitating controlled release of pharmacologically active compounds, thus augmenting bioavailability and enabling targeted drug delivery. Gingerol, a constituent of ginger, possesses multifaceted properties. including anti-inflammatory, anti-oxidant, antidiabetic, and antipyretic effects. In this study, gingerol-loaded poly(lactic-co-glycolic acid) (PLGA) nanoparticles (NPs), coated with chitosan, were administered orally to rats over a period of 21days to address RA induced by complete Freund adjuvant (CFA). The rats were segregated into four experimental groups. Upon completion of the treatment regimen, blood samples were collected for the assessment of cyclooxygenase-2 (COX-2), RA factor, interleukin-6 (IL-6), and tumor necrosis factor-alpha (TNF-α). Subsequent gene expression analysis was conducted to evaluate the levels of interleukin-4 (IL-4), interleukin-17a (IL-17a), IL-6, interferon-gamma (INF-γ), TNF-α, interleukin-1 beta (IL-1β), osteoprotegerin (OPG), and receptor activator of nuclear factor kappa-B ligand (RANKL). Statistical analyses utilizing one-way ANOVA followed by Tukey tests were applied to the data. The gene expression profiling revealed significant disparities in mRNA levels of IL-1β, IL-6, IL-4, IL-17a, RANKL, INF-γ, and TNF-α between the CFA-induced arthritis group and the control group. Consequently, it was inferred that gingerol-loaded PLGA NPs coated with chitosan exhibited heightened therapeutic efficacy in addressing CFA-induced arthritis in rats.

Innovative Research on the Integration of Traditional Chinese Medicine and Artificial Intelligence for the Treatment of Herpes Zoster

Herpes zoster is a skin disease caused by the varicella-zoster virus (VZV), primarily manifesting as painful skin rashes in localized areas. Traditional Chinese medicine has a long history of treating herpes zoster, and the integration of modern artificial intelligence (AI) technologies holds promise for further enhancing treatment efficacy. This study aims to construct an AI-based traditional Chinese medicine treatment plan by analyzing large-scale clinical data and traditional medical literature to establish individualized diagnostic models. The experimental results demonstrate that this method effectively shortens the disease course and reduces the incidence of complications. Additionally, the study reveals the mechanisms of action of various components of traditional Chinese medicine in treatment, providing a basis for further optimization of treatment plans. This innovative integration approach not only improves treatment precision but also offers a new paradigm for combined traditional and Western medicine treatment. This paper not only showcases the potential of AI in the field of traditional Chinese medicine but also provides new insights into the treatment of herpes zoster.

Association between pathogenic beliefs and personality disorders

Background and objectivesPersonality disorders are significant entities in the field of psychiatry and serve as predisposing factors for Axis I clinical disorder. The Treatment of choice is psychotherapy, and one specific approach is Control Mastery Therapy, which emphasizes addressing Pathogenic beliefs (PB). This study aimed to investigate whether there is a relationship between PB and specific personality disorders and whether these beliefs align with the core features specified in the Diagnostic and Statistical Manual of Mental Disorders (DSM) for that personality disorder. Materials and methodsThis study employed a retrospective cross-sectional design and included 319 participants, comprising individuals receiving treatment at the Psychotherapy Clinic at Maharaj Nakorn Chiang Mai Hospital, Faculty of Medicine, Chiang Mai University between 2007 and 2023. All participants were assessed and completed the Structured Clinical Interview for DSM-IV Axis II - Personality Disorders Questionnaire (SCID-II-PQ), Pathogenic Beliefs Scale, and Outcome-Inventory (depression). A generalized linear model (binary logistic regression) was employed, and the predictors included personality disorders. The outcome was the pathogenic belief, and covariates encompassed age, sex, education, clinical diagnosis, and depression score. A sensitivity analysis was conducted to examine the effect on the model when outliers of depressive scores were present. ResultsAfter adjusting for depression, ten personality disorders were found to predict 16 pathogenic beliefs out of the 27 outcomes examined. Notably, histrionic and obsessive-compulsive personality disorders showed no association with specific pathogenic beliefs. Furthermore, certain pathogenic beliefs were predicted by multiple personality disorders, while conversely, some personality disorders were associated with multiple pathogenic beliefs as well. Sensitivity analysis revealed that outliers influenced the relationships between certain disorders and pathogenic beliefs, particularly those with small effect sizes. ConclusionsThe profound impact of pathogenic beliefs intertwined with personality disorders, particularly influenced by childhood trauma and evident in Cluster B and schizotypal disorders, underscores the critical need for targeted psychotherapeutic interventions. Addressing these beliefs directly is key to enhancing treatment efficacy and patient outcomes. Pathogenic belief should be elicited in clinical settings regardless of personality disorder, especially those who experienced depression. Moving forward, rigorous research is imperative to validate and refine therapeutic approaches aimed at reshaping pathogenic beliefs, ensuring they become pivotal in transforming clinical practice and advancing mental health care.

Adherence to treatment in pulmonary tuberculosis: Rodgers' evolutionary concept analysis.

Adherence to treatment is essential for the management of pulmonary tuberculosis. Nurses and healthcare professionals play a significant role in promoting adherence behavior among this population. Nevertheless, defining adherence to treatment within this particular population remains complex. This study aimed to explore and clarify the concept of adherence to treatment among individuals with pulmonary tuberculosis. Rodgers' evolutionary concept analysis was employed in this study. A literature search was conducted in the PubMed and Scopus databases to identify relevant studies published between July 2013 and July 2023. The attributes of adherence to treatment in pulmonary tuberculosis consist of multiple components: biological, individual, social, health service, and policy-making processes. Antecedents include various patient-related factors as well as factors associated with clinical conditions and patient-health professional engagement. Three consequences of the concept have emerged: enhanced treatment efficacy, increased commitment to tuberculosis treatment adherence, and improved health service quality. This study provides a comprehensive operational definition of adherence to tuberculosis treatment, including its attributes, antecedents, and consequences. This framework will assist nurses in evaluating adherence more effectively. However, further research into the experiences of individuals adhering to tuberculosis treatment is needed to confirm and enhance these strategies.

A comparison between constructed wetland substrates: Impacts on microbial community and wastewater treatment

Constructed wetlands (CWs) can play a crucial role in treating wastewater, and in the context of this study, the distillation byproduct of the whisky industry known as 'spent lees'. Here, we assess several different CW substrates (pea gravel, LECA and Alfagrog), with and without the addition of 20% biochar, in mesocosms set up to treat spent lees. Among the substrates tested, LECA + biochar and gravel + biochar showed promising results, with greater dissolved copper (dissCu) reduction, chemical oxygen demand (COD) removal, organic carbon (OC) reduction, and pH modulation. These findings indicate a potentially beneficial role for biochar in enhancing treatment efficacy, particularly in facilitating dissCu remediation and the removal of organic pollutants. In terms of microbial diversity, mesocosms including biochar generally had reduced bacterial alpha diversity, suggesting that ‘fresh’ (uncolonized) biochar may negatively affect microbial diversity in wetland ecosystems in the short term. After continuously supplying spent lees to mesocosms for 2-months, microbial diversity in each mesocosm dropped substantially, and moderate levels of bacterial community differentiation and high levels of fungal community differentiation were detected among mesocosms. The bacterial and fungal communities were also found to differ between the substrate and outlet water samples. Among the bacterial classes present in the mesocosms that may play a crucial role in water treatment performance, Gammaproteobacteria, Bacteroidia and Alphaproteobacteria should be further investigated. In terms of fungal classes, the role of Sordariomycetes should be explored in greater depth.

Genomic Markers and Personalized Medicine in Androgenetic Alopecia: A Comprehensive Review

Androgenetic alopecia (AGA) is the most common form of hair loss, significantly affecting both men and women worldwide. Characterized by progressive hair thinning and loss, AGA is primarily mediated by dihydrotestosterone (DHT). Recent research has identified numerous single-nucleotide polymorphisms (SNPs) associated with AGA, particularly in genes involved in androgen metabolism, prostaglandin pathways, and vasodilation. These genetic markers offer insights into AGA pathophysiology and potential therapeutic targets. Pharmacogenetics, the study of how genetic variations influence drug response, holds promise for personalized AGA treatment. Identifying SNPs that affect the efficacy of treatments like minoxidil and finasteride enables the development of tailored therapeutic strategies. For instance, genetic variants in the SRD5A2 gene, which affects DHT metabolism, can predict responsiveness to 5-alpha-reductase inhibitors. Beyond pharmacogenetics, RNA interference (RNAi) technologies, e.g., small interfering RNAs (siRNAs), present new therapeutic avenues. Studies have shown the efficacy of RNAi-based treatments in targeting androgen receptors, promoting hair growth in AGA models. Integrating genetic and pharmacogenetic research into clinical practice can transform AGA management, enhancing treatment efficacy and patient outcomes. In conclusion, genetic and pharmacogenetic insights are crucial for developing personalized treatments for AGA, while emerging RNAi technologies offer promising new interventions. These advancements represent significant steps toward more effective and individualized AGA therapies.

Analysis of Expression and Regulation of AKR1C2 in HPV-Positive and -Negative Oropharyngeal Squamous Cell Carcinoma.

Head and Neck Squamous Cell Carcinoma (HNSCC), particularly Oropharyngeal Squamous Cell Carcinoma (OPSCC), is a major global health challenge due to its increasing incidence and high mortality rate. This study investigates the role of aldo-keto reductase 1C2 (AKR1C2) in OPSCC, focusing on its expression, correlation with Human Papillomavirus (HPV) status, oxidative stress status, and clinical outcomes, with an emphasis on sex-specific differences. We analyzed AKR1C2 expression using immunohistochemistry in formalin-fixed, paraffin-embedded tissue samples from 51 OPSCC patients. Additionally, we performed RT-qPCR in cultured HPV16-E6*I and HPV16-E6 overexpressing HEK293 cell lines (p53WT). Statistical analyses were performed to assess the correlation between AKR1C2 expression and patient data. Our results indicate a significant association between increased AKR1C2 expression and higher AJCC classification (p = 0.009) as well as positive HPV status (p = 0.008). Prognostic implications of AKR1C2 varied by sex, whereby female patients with high AKR1C2 expression had better overall survival, whereas male patients exhibited poorer outcomes. Additionally, AKR1C2 expression was linked to HPV status, suggesting a potential HPV-specific regulatory mechanism. These findings underscore the complex interplay among AKR1C2, HPV, and patient sex, highlighting the need for personalized treatment strategies for OPSCC. Targeted inhibition of AKR1C2, considering sex-specific differences, may enhance therapeutic outcomes. Future research should investigate these mechanisms to enhance treatment efficacy.

Evaluation of Pharmacy Intern Interventions on Antimicrobial Use in University-Affiliated Hospitals: A Retrospective Analysis.

Background: Appropriate use of antimicrobials is essential to enhance therapeutic safety and efficacy. Clinical pharmacists play a crucial role in optimizing antimicrobial use; however, the contribution of pharmacy interns in antimicrobial use has not been studied. The objective of this study was to ascertain the quantity and nature of interventions related to antimicrobials documented by pharmacy interns, along with the rates at which physicians accepted these interventions. Methods: From August 2017 to March 2022, this study retrospectively evaluated antimicrobial-related interventions recorded by pharmacy interns during their rotations at King Khalid University. The categories of interventions included medication selection, addition of antimicrobials, dose or frequency adjustments, medication discontinuation, de-escalation, therapeutic drug monitoring, and others. Statistical analysis was conducted to identify patterns and correlations. Results: This study evaluated 1295 antimicrobial-related interventions, with high physician acceptance rates of 91.6% and 4.0% accepted with modifications. The most frequent interventions were dose/frequency adjustments (36.3%) and medication discontinuation (23%). Vancomycin, colistin, and meropenem were the most frequently intervened antimicrobials. Documented clinical outcomes included enhancing treatment efficacy (37.3%), reducing treatment toxicity (26.81%), and avoiding unnecessary antimicrobial exposure (21.8%). Significant correlations were observed between hospital units and intervention types, indicating unit-specific intervention patterns. Conclusions: Theses findings highlight the vital role of pharmacy interns in optimizing antimicrobial therapy. Future research should focus on evaluating the long-term clinical and economic benefits of their involvement.

Time-of-day effects of cancer drugs revealed by high-throughput deep phenotyping

The circadian clock, a fundamental biological regulator, governs essential cellular processes in health and disease. Circadian-based therapeutic strategies are increasingly gaining recognition as promising avenues. Aligning drug administration with the circadian rhythm can enhance treatment efficacy and minimize side effects. Yet, uncovering the optimal treatment timings remains challenging, limiting their widespread adoption. In this work, we introduce a high-throughput approach integrating live-imaging and data analysis techniques to deep-phenotype cancer cell models, evaluating their circadian rhythms, growth, and drug responses. We devise a streamlined process for profiling drug sensitivities across different times of the day, identifying optimal treatment windows and responsive cell types and drug combinations. Finally, we implement multiple computational tools to uncover cellular and genetic factors shaping time-of-day drug sensitivity. Our versatile approach is adaptable to various biological models, facilitating its broad application and relevance. Ultimately, this research leverages circadian rhythms to optimize anti-cancer drug treatments, promising improved outcomes and transformative treatment strategies.

Role of Theranostics in Radiology: Bridging Diagnostic Imaging and Targeted Therapy

Theranostics, a burgeoning field at the intersection of diagnostics and therapeutics, has revolutionized the landscape of radiology. This research article explores the pivotal role of theranostics in radiology, emphasizing its applications, advancements, challenges, and future prospects. By integrating diagnostic capabilities with targeted therapeutic interventions, theranostics promises personalized medicine tailored to individual patient needs, thereby enhancing treatment efficacy and patient outcomes.

Side effects of prostate cancer therapies and potential management.

Prostate cancer (PCa) remains a significant health challenge, necessitating diverse therapeutic interventions to manage the disease effectively. While these treatments offer promising outcomes, they are often accompanied by a range of side effects that can impact patient quality of life and treatment compliance. This review provides an overview of the common side effects associated with various PCa therapies, including prostatectomy, radiation therapy, thermal therapy, hormone therapy, chemotherapy, and targeted drug therapy, among others. We summarized and discussed the reported side effects encompassing ureteral problems, sexual issues, gastrointestinal symptoms, fatigue, anemia, thrombocytopenia, hematologic abnormalities, nausea, vomiting, and liver enzyme elevation. Specific managements, such as personalized treatment plans, proactive symptom monitoring, supportive care interventions, and hematological assessments, are crucial in mitigating these side effects and optimizing treatment outcomes. By prioritizing patient-centered care and tailored interventions, health-care providers can enhance treatment efficacy and improve the overall well-being of individuals undergoing PCa therapies.

Antioxidant Role of Probiotics in Inflammation-Induced Colorectal Cancer.

Colorectal cancer (CRC) continues to be a significant contributor to global morbidity and mortality. Emerging evidence indicates that disturbances in gut microbial composition, the formation of reactive oxygen species (ROS), and the resulting inflammation can lead to DNA damage, driving the pathogenesis and progression of CRC. Notably, bacterial metabolites can either protect against or contribute to oxidative stress by modulating the activity of antioxidant enzymes and influencing signaling pathways that govern ROS-induced inflammation. Additionally, microbiota byproducts, when supplemented through probiotics, can affect tumor microenvironments to enhance treatment efficacy and selectively mediate the ROS-induced destruction of CRC cells. This review aims to discuss the mechanisms by which taxonomical shifts in gut microbiota and related metabolites such as short-chain fatty acids, secondary bile acids, and trimethylamine-N-oxide influence ROS concentrations to safeguard or promote the onset of inflammation-mediated CRC. Additionally, we focus on the role of probiotic species in modulating ROS-mediated signaling pathways that influence both oxidative status and inflammation, such as Nrf2-Keap1, NF-κB, and NLRP3 to mitigate carcinogenesis. Overall, a deeper understanding of the role of gut microbiota on oxidative stress may aid in delaying or preventing the onset of CRC and offer new avenues for adjunct, CRC-specific therapeutic interventions such as cancer immunotherapy.