Current Medicinal Chemistry - Volume 31, Issue 36, 2024

Alcohol use disorders are responsible for 5.9% of all death annually and 5.1% of the global disease burden. It has been suggested that alcohol abuse can modify gene expression through epigenetic processes, namely DNA and histone methylation, histone acetylation, and microRNA expression. The alcohol influence on epigenetic mechanisms leads to molecular adaptation of a wide number of brain circuits, including the hypothalamus-hypophysis-adrenal axis, the prefrontal cortex, the mesolimbic-dopamine pathways and the endogenous opioid pathways. Epigenetic regulation represents an important level of alcohol-induced molecular adaptation in the brain. It has been demonstrated that acute and chronic alcohol exposure can induce opposite modifications in epigenetic mechanisms: acute alcohol exposure increases histone acetylation, decreases histone methylation and inhibits DNA methyltransferase activity, while chronic alcohol exposure induces hypermethylation of DNA. Some studies investigated the chromatin status during the withdrawal period and the craving period and showed that craving was associated with low methylation status, while the withdrawal period was associated with elevated activity of histone deacetylase and decreased histone acetylation. Given the effects exerted by ethanol consumption on epigenetic mechanisms, chromatin structure modifiers, such as histone deacetylase inhibitors and DNA methyltransferase inhibitors, might represent a new potential strategy to treat alcohol use disorder. Further investigations on molecular modifications induced by ethanol might be helpful to develop new therapies for alcoholism and drug addiction targeting epigenetic processes.

Background: Hyperuricemia belongs to metabolic syndromes where increased uric acid levels are identified in the blood serum. Such a syndrome could be responsible for kidney stone formation, gout, hypertension, and chronic kidney diseases. It has been reported that cardiovascular risks have been linked with hyperuricemia. Gout is of the most frequent manifestations due to hyperuricemia; its management involves various pharmacological available options and dietary changes. Throughout the literature, various dosage forms are studied as alternative options to the present drug delivery systems. Objective: To update and summarize the current information for gout and hyperuricemia management. Methods: Authors have performed a thorough literature research from 2010-2023 using keywords such as hyperuricemia, gout, diagnosis, guidelines, drug delivery and clinical trials. The databases used were PubMed, ScienceDirect. According to our inclusion criteria, all studies which include the previous terms, as well as drugs or other molecules that can be applied for gout and/or hyperuricemia management, were added. Results: In this article, authors have summarized the pathogenesis, diagnosis and updated guidelines for gout and hyperuricemia management. Moreover, the authors have reviewed and discussed current drug delivery systems found in the literature, including drugs targeting the above disorders. Finally, the available clinical trials assessing the efficacy of newer drugs or combinations of the past ones, are being discussed. Conclusion: The available drugs and dosage forms are limited, and therefore, scientific society should focus on the development of more efficient drug delivery systems for hyperuricemia and gout management.

Microbial polyhydroxyalkanoates (PHAs) are bio-based aliphatic biopolyester produced by bacteria as an intracellular storage material of carbon and energy under stressed conditions. PHAs have been paid attention to due to their unique and impressive biological properties including high biodegradability, biocompatibility, low cytotoxicity, and different mechanical properties. Under this context, the development of drug-delivery nanosystems based on PHAs has been revealed to have numerous advantages compared with synthetic polymers that included biocompatibility, biodegradability, non-toxic, and low-cost production, among others. In this review article, we present the available state of the art of PHAs. Moreover, we discussed the potential benefits, weaknesses, and perspectives of PHAs to the develop drug delivery systems.

Resolvins are specialized pro-resolving mediators derived from omega-3 fatty acids that can suppress several cancer-related molecular pathways, including important activation of transcription parameters in the tumor cells and their microenvironment, inflammatory cell infiltration, cytokines as well as chemokines. Recently, an association between resolvins and an important anti-inflammatory process in apoptotic tumor cell clearance (efferocytosis) was shown. The inflammation status or the oncogene activation increases the risk of cancer development via triggering the transcriptional agents, including nuclear factor kappa-light-chain-enhancer of activated B cells by generating the pro-inflammatory lipid molecules and infiltrating the tumor cells along with the high level of pro-inflammatory signaling. These events can cause an inflammatory microenvironment. Resolvins might decrease the leukocyte influx into the inflamed tissues. It is widely accepted that resolvins prohibit the development of debris-triggered cancer via increasing the clearance of debris, especially by macrophage phagocytosis in tumors without any side effects. Resolvins D2, D1, and E1 might suppress tumor-growing inflammation by activation of macrophages clearance of cell debris in the tumor. Resolvin D5 can assist patients with pain during treatment. However, the effects of resolvins as anti-inflammatory mediators in cancers are not completely explained. Thus, based on the most recent studies, we tried to summarize the most recent knowledge on resolvins in cancers.

Tyrosine kinases are implicated in a wide array of cellular physiological processes, including cell signaling. The discovery of the BCR-ABL tyrosine kinase inhibitor imatinib and its FDA approval in 2001 paved the way for the development of small molecule chemical entities of diverse structural backgrounds as tyrosine kinase inhibitors for the treatment of various ailments. Two of the most prominent tyrosine kinases as drug targets are the epidermal growth factor receptor (EGFR) and the vascular endothelial growth factor receptor (VEGFR), as evidenced by the clinical success of their many inhibitors in the drug market. Among several other physiological roles, EGFR regulates epithelial tissue development and homeostasis, while VEGFR regulates tumor-induced angiogenesis. The pyrrolo[2,3-d]pyrimidine nucleus represents a deaza-isostere of adenine, the nitrogenous base of ATP. The recent introduction of many pyrrolo[2,3-d]pyrimidines to the drug market as tyrosine kinase inhibitors makes them a hot topic in the medicinal chemistry research area at the present time. This review article comprehensively sheds light on the structure-activity relationship (SAR) of pyrrolo[2,3-d]pyrimidines as EGFR and VEGFR tyrosine kinase inhibitors, aiming to provide help medicinal chemists in the design of future pyrrolopyrimidine kinase inhibitors.

Brain-Derived Neurotrophic Factor (BDNF) is a crucial molecule implicated in plastic modifications related to learning and memory. The expression of BDNF is highly regulated, which can lead to significant variability in BDNF levels in healthy subjects. Changes in BDNF expression might be associated with neuropsychiatric diseases, particularly in structures important for memory processes, including the hippocampus and parahippocampal areas. Curcumin is a natural polyphenolic compound that has great potential for the prevention and treatment of age-related disorders by regulating and activating the expression of neural protective proteins such as BDNF. This review discusses and analyzes the available scientific literature on the effects of curcumin on BDNF production and function in both in vitro and in vivo models of disease.

Introduction: Active pharmaceutical ingredients (APIs) have gained direct pharmaceutical interest, along with their in vitro properties, and thus utilized as auxiliary solid dosage forms upon FDA guidance and approval on pharmaceutical cocrystals when reacting with coformers, as a potential and attractive route for drug substance development. Methods: However, screening and selecting suitable and appropriate coformers that may potentially react with APIs to successfully form cocrystals is a time-consuming, inefficient, economically expensive, and labour-intensive task. In this study, we implemented GNNs to predict the formation of cocrystals using our introduced API-coformers relational graph data. We further compared our work with previous studies that implemented descriptor-based models (e.g., random forest, support vector machine, extreme gradient boosting, and artificial neural networks). Results: All built graph-based models show compelling performance accuracies (i.e., 91.36, 94.60 and 95. 95% for GCN, GraphSAGE, and RGCN respectively). RGCN demonstrated effectiveness and prevailed among the built graph-based models due to its capability to capture intricate and learn nuanced relationships between entities such as non-ionic and non-covalent interactions or link information between APIs and coformers which are crucial for accurate predictions and representations. Conclusion: These capabilities allows the model to adeptly learn the topological structure inherent in the graph data.

Background: Punica granatum L. is well-known for its multifaceted therapeutic potential, including anti-inflammatory and immunomodulatory activities. Aim: This study aimed to characterize an immunomodulatory compound isolated from Punica granatum L. using a bioactivity-guided approach. Methods: Chromatographic techniques were adopted for isolation and purification of secondary metabolites. In silico, in vitro, and in vivo methods were performed to characterize the therapeutic potential of the isolated compound. Results: Using preparative thin-layer chromatography, rosmarinic acid was isolated from F4 (column chromatography product obtained from a butanolic fraction of the extract). The impact of rosmarinic acid was assessed in rats using the neutrophil adhesion test, DTH response, and phagocytic index. In immunized rats, rosmarinic acid demonstrated significant immunomodulatory potential. Computational experiments, like molecular docking and molecular dynamics, were also conducted against two targeted receptors, Cereblon (PDB ID: 8AOQ) and human CD22 (PDB ID: 5VKM). Computational studies suggested that an increase in phagocytic index by rosmarinic acid could be attributed to inhibiting Cereblon and CD22. Pharmacokinetics and toxicity prediction also suggested the drug-likeness of rosmarinic acid. Conclusion: Rosmarinic acid is a potential candidate, but extensive research needs to be done to translate this molecule from bench to bedside.

Introduction: Based on comprehensive network-pharmacology and molecular docking analysis, this study was intended to unveil the multiple mechanisms of Yi- Gai-San (YGS) in treating the tremor-dominant subtype of Parkinson's disease (PD-DT). The compounds of YGS were meticulously analyzed, selected, and standardized with references to their pharmacological attributes. Its components included Gouteng (Uncaria rhynchophylla), Chaihu (Radix Bupleuri), Chuanxiong (Chuanxiong Rhizoma), Danggui (Angelicae sinensis radix), Fuling (Wolfiporia extensa), Baizhu (Atractylodis macrocephalae rhizoma), and Gancao (Licorice, Glycyrrhizae radix). Methods: We identified 75 active compounds within YGS. From these, we predicted 110 gene targets, which exhibited a direct association with PD-DT. PPI network results highlighted core target proteins, including TP53, SLC6A3, GAPDH, MAOB, AKT, BAX, IL6, BCL2, PKA, and CASP3. These proteins potentially alleviate PD-DT by targeting inflammation, modulating neuronal cell apoptosis, and regulating the dopamine system. Furthermore, GO and KEGG enrichment analyses emphasized that YGS might influence various mechanisms, such as the apoptotic process, mitochondrial autophagy, Age-Rage signaling, and dopaminergic and serotonergic synapses. The core proteins from the PPI analysis were selected for the docking experiment. Results: The docking results demonstrated that the most stable ligand-receptor conformations were kaempferol with CASP3 (-9.5 kcal/mol), stigmasterol with SLC6A3 (-10.5 kcal/mol), shinpterocarpin with BCL2L1 (-9.6 kcal/mol), hirsutine with MAOB (-9.7 kcal/mol), hederagenin with PRKACA (-9.8 kcal/mol), and yatein with GAPDH (-9.8 kcal/mol). These results provide us with research objectives for future endeavors in extracting single compounds for drug manufacturing or in-depth studies on drug mechanisms. Conclusion: From these computational findings, we suggested that YGS might mitigate PD-DT via “multi-compounds, multi-targets, and multi-pathways.”