Cancer is the second leading cause of mortality worldwide. The heightened nutrient uptake, particularly glucose, and elevated glycolysis observed in rapidly proliferating tumor cells highlight the potential targeting of energy metabolism pathways for the treatment of cancer. Numerous studies and clinical trials have demonstrated the efficacy of nutritional therapy in mitigating the adverse effects of chemotherapy and radiotherapy, enhancing treatment outcomes, prolonging survival, and improving the overall quality of life of patients. This review article comprehensively examines nutritional therapy strategies that specifically address tumor energy metabolism. Moreover, it explores the intricate interplay between energy metabolism and the gut microbiota in the context of nutritional therapy. The findings aim to provide valuable insights for future clinical research endeavors in this field.
In silico tool is the flourishing pathway for Researchers and budding chemists to strain the analytical data in a snapshot. Traditionally, drug research has heavily relied on labor-intensive experiments, often limited by time, cost, and ethical constraints. In silico tools have paved the way for more efficient and cost-effective drug development processes. By employing advanced computational algorithms, these tools can screen large libraries of compounds, identifying potential toxicities and prioritizing safer drug candidates for further investigation. Integrating in silico tools into the drug research pipeline has significantly accelerated the drug discovery process, facilitating early-stage decision-making and reducing the reliance on resource-intensive experimentation. Moreover, these tools can potentially minimize the need for animal testing, promoting the principles of the 3Rs (reduction, refinement, and replacement) in animal research. This paper highlights the immense potential of in silico tools in revolutionizing drug research. By leveraging computational models to predict drug metabolism, pharmacokinetics, and toxicity. Researchers can make informed decisions and prioritize the most promising drug candidates for further investigation. The synchronicity of In silico tools in this article on trending topics is insightful and will play an increasingly integral role in expediting drug development.
Background: Isovitexin-2"-O-D-glucopyranoside (IVG) has been known to exhibit sedative and hypnotic effects. However, there is little understanding of the in vivo pharmacokinetics and tissue distribution of IVG.
Objective: This study aimed to investigate the pharmacokinetics and tissue distribution of IVG.
Methods: The study employed an HPLC-ESI-MS/MS method to analyze the pharmacokinetics and tissue distribution of IVG.
Results: Under mass spectrometry, IVG and internal standard (IS) showed strong negative ionization signals. MRM analysis chose ion transitions m/z 593.3 → 293.0 (IVG) and m/z 579.8 → 271.4 (IS). Method validation indicated high precision, accuracy, and reliability with a quantitation limit under 20 ng/mL. After intravenously administering 5.0 mg/kg of IVG, rapid clearance from rat plasma was observed, with a half-life (t1/2) of 3.49 ± 0.99 h and a clearance rate of 54.53 ± 11.90 mL/kg/h. The area under the curve (AUC0-12h) of 37.79 ± 7.65 μg·h/mL indicated a brisk metabolic rate. Evaluating the tissue distribution, the highest accumulation was seen in the liver (30.32 ± 3.06 μg/g), followed by the kidney (20.58 ± 2.12 μg/g) and intestine (6.69 ± 0.93 μg/g), suggesting a propensity for IVG to concentrate in these tissues. Importantly, the presence of IVG in the brain underlines its potential to traverse the blood-brain barrier. These findings revealed that following intravenous administration, IVG was swiftly and broadly distributed throughout various rat tissues.
Conclusion: This study provides valuable information on the pharmacokinetics and tissue distribution of IVG, implicating its potential as a novel and effective drug candidate for sedative and anxiolytic treatment.
Introduction: It is well known that the response to and metabolism of the drugs entering the human body varies widely across individuals. One of the reasons is that such interpersonal differences may be related to gut microbes. On one hand, drugs or xenobiotics entering the human body may affect the composition of the gut microbiome; on the other hand, the gut microbiota may alter the absorption, distribution, metabolism and excretion (abbreviated as ADME) process of drugs or xenobiotics vice versa. However, the majority of studies focused on the interaction of general population cohorts with the gut microbiota, which is incompatible with the real clinic. For example, the gut microbiota is closely associated with the progression and treatment of irritable bowel syndrome, a common functional disorder of the gastrointestinal tract. Under the disease status, the composition of the gut microbiota is altered affecting the pharmacokinetics, efficacy and toxicity of xenobiotics. Concerning irritable bowel syndrome, a few studies reported that the xenobiotics administration process was gut microbial-mediated, while it also affected drug efficacy and toxicity. Thus, the correlation between gut microbiota and xenobiotics administration, especially the drugs administered, should be elucidated.
Method: This review paper links differences between the gut microbiome and drug metabolism, which play a significant role in the implications for medical therapy and drug development in irritable bowel syndrome indications.
Result: The human intestinal microbiota permeates the ADME process of orally administered drugs and has the potential to further modify the efficacy and toxicity of agents through the mediation of various enzymes, while at the same time, medications could also alter the composition and function of the human intestinal microbiota.
Mitochondrial dysfunction is considered highly related to the development and progression of diseases, including cancer, metabolism disturbance, and neurodegeneration. Traditional pharmacological approach for mitochondrial dysfunction treatment has off-target and dose-dependent side effects, which leads to the emergence of mitochondrial gene therapy by regulating coding or noncoding genes by using nucleic acid sequences such as oligonucleotides, peptide nucleic acids, rRNA, siRNA, etc. To avoid size heterogeneity and potential cytotoxicity of the traditional delivery vehicle like liposome, framework nucleic acids have shown promising potentials. First, special spatial structure like tetrahedron allows entry into cells without transfection reagents. Second, the nature of nucleic acid provides the editability of framework structure, more sites and methods for drug loading and targeted sequences linking, providing efficient transportation and accurate targeting to mitochondria. Third, controllable size leads a possibility to go through biological barrier such as the blood-brain barrier, reaching the central nervous system to reverse mitochondria-related neurodegeneration. In addition, it's biocompatibility and physiological environmental stability open up the possibility of in vivo treatments for mitochondrial dysfunction. Furthermore, we discuss the challenges and opportunities of framework nucleic acids-based delivery systems in mitochondrial dysfunction.
Background: Chebulinic acid (CA) is an active constituent of Terminalia chebula fruits with therapeutic potential against multiple metabolic diseases, including dementia, benign prostate hyperplasia, and osteoporosis.
Objective: The present work intends to explore the preclinical pharmacokinetics, including the absolute bioavailability of CA and its influence on the gene expression of cytochrome P450 enzymes in the liver.
Methods: Quantifying CA and probe drugs in vitro samples and preclinical serum samples of male SD rats were performed using LC-MS/MS. The influence of CA on the hepatic CYPs and their gene expression was analyzed in rat liver by quantitative real-time polymerase chain reaction.
Results: The plasma protein binding was found to be 84.81 ± 7.70 and 96.34 ± 3.12, blood-to-plasma ratio of 0.62 ± 0.16 and 0.80 ± 0.23 at 1 μM and 10 μM concentrations, respectively. Again, the absolute oral bioavailability of CA at 100 mg/kg was found to be 37.56 ± 7.3%. The in-vivo pharmacokinetic profile of probe drugs revealed CA to have significant inducing effects on CYP1A2, 2C11, 2D2, and 2E1 after 14 days, which correlates to both in-vitro rat microsomal data and gene expression results.
Conclusion: Altogether, pharmacokinetic parameters reveal CA to have an affinity to distribute across different extravascular tissues and induce rat liver CYP enzymes.
Aims: The aim of the present study is to gain insight into the biology of Parkinson's disease (PD) and cancer to drive translational advances enabling more effective prevention and/or potential treatments.
Background: The expression of Cytochrome P450 2D6 (CYP2D6) is correlated with various diseases such as PD and cancer; therefore, exploring its regulatory mechanism at transcriptional levels is of interest. NF-E2-related factor 2 (Nrf2) has been known to be responsible for regulating phase II and phase III drug-metabolizing genes.
Objectives: The objectives of this study are to investigate the transcriptional regulation of CYP2D6 by Nrf2 and to analyze its role in PD and cancer.
Methods: Nrf2 was transiently expressed in human hepatoma Hep3B cells, and the expression of CYP2D6 was examined by RT-qPCR. The promoter activity of CYP2D6 and the DNA binding of Nrf2 were examined by luciferase and ChIP assay, respectively. We then investigated the expression and correlation of Nrf2 and CYP2D6 in the Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) datasets.
Results: In the present study, we demonstrated that Nrf2 down-regulated CYP2D6 mRNA expression in hepatoma Hep3B cells. Mechanistically, Nrf2 binds to the antioxidant responsive element (ARE) in the proximity of krüppel- like factor 9 (KLF9)-binding site within the -550/+51 of CYP2D6 promoter. The inhibition and activation of Nrf2 enhanced and suppressed KLF9 effects on CYP2D6 expression, respectively. The expression levels of Nrf2 and CYP2D6 were upregulated and downregulated in the PD patient GEO datasets compared to the healthy control tissues, and Nrf2 was negatively correlated with CYP2D6. In liver cancer patients, decreased CYP2D6 levels were apparent and associated with a lower probability of survival.
Conclusion: Our work revealed the inhibitory role of Nrf2 in regulating CYP2D6 expression. Moreover, Nrf2- dependent regulation of CYP2D6 can be used as a prognostic factor and therapeutic strategy in PD and liver cancer.
Aims: To identify single nucleotide polymorphisms (SNPs) of paracetamol-metabolizing enzymes that can predict acute liver injury.
Background: Paracetamol is a commonly administered analgesic/antipyretic in critically ill and chronic renal failure patients and several SNPs influence the therapeutic and toxic effects.
Objective: To evaluate the role of machine learning algorithms (MLAs) and bioinformatics tools to delineate the predictor SNPs as well as to understand their molecular dynamics.
Methods: A cross-sectional study was undertaken by recruiting critically ill patients with chronic renal failure and administering intravenous paracetamol as a standard of care. Serum concentrations of paracetamol and the principal metabolites were estimated. Following SNPs were evaluated: CYP2E1*2, CYP2E1_-1295G>C, CYP2D6*10, CYP3A4*1B, CYP3A4*2, CYP1A2*1K, CYP1A2*6, CYP3A4*3, and CYP3A5*7. MLAs were used to identify the predictor genetic variable for acute liver failure. Bioinformatics tools such as Predict SNP2 and molecular docking (MD) were undertaken to evaluate the impact of the above SNPs with binding affinity to paracetamol.
Results: CYP2E1*2 and CYP1A2*1C genotypes were identified by MLAs to significantly predict hepatotoxicity. The predictSNP2 revealed that CYP1A2*3 was highly deleterious in all the tools. MD revealed binding energy of -5.5 Kcal/mol, -6.9 Kcal/mol, and -6.8 Kcal/mol for CYP1A2, CYP1A2*3, and CYP1A2*6 against paracetamol. MD simulations revealed that CYP1A2*3 and CYP1A2*6 missense variants in CYP1A2 affect the binding ability with paracetamol. In-silico techniques found that CYP1A2*2 and CYP1A2*6 are highly harmful. MD simulations revealed CYP3A4*2 (A>G) had decreased binding energy with paracetamol than CYP3A4, and CYP3A4*2(A>T) and CYP3A4*3 both have greater binding energy with paracetamol.
Conclusion: Polymorphisms in CYP2E1, CYP1A2, CYP3A4, and CYP3A5 significantly influence paracetamol's clinical outcomes or binding affinity. Robust clinical studies are needed to identify these polymorphisms' clinical impact on the pharmacokinetics or pharmacodynamics of paracetamol.
Background: The amount of metabolites converted into active metabolites is correspondingly reduced since only more than 50% of clopidogrel is absorbed.
Objective: Exploring the effect of gut microbiota altered by altitude hypoxia on the pre-absorption metabolism of clopidogrel.
Methods: In vitro and in vivo experiments were conducted to analyze the metabolism of clopidogrel through LCMS/ MS, while 16S rRNA analysis was used to investigate the changes in the gut microbiota of high-altitude animals.
Results: We demonstrated that the intestinal flora is involved in the metabolism of clopidogrel through in vivo and in vitro experiments. In addition, the plateau environment caused changes in the number and composition of intestinal microbes. Intriguingly, alterations in the microbial population could lead to an increase in the pre-absorption metabolism of clopidogrel after rapid entry into the plateau, the amount of absorbed blood is thus reduced, which may affect the bioavailability and therapeutic effect of clopidogrel.
Conclusion: Our results not only as a first clinical reference for dose adjustment of clopidogrel in high-altitude environments but also would be helpful to provide a statement on the broader significance within the field of pharmacokinetics or personalized medicine.
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