Current Medicinal Chemistry - Volume 32, Issue 26, 2025

MiR-136-5p plays a vital function in regulating developmental processes as well as in the pathophysiology of diseases, with a notable record in tumor suppression.

This article summarizes the latest findings on the physiological and pathophysiological processes of miR-136-5p in diseases. We searched for relevant studies and selected research articles from the last five years on PubMed with miR-136-5p as the keyword.

MiR-136-5p represents a class of microRNAs (miRNAs) that are involved in various human maladies, encompassing cancers, cardio-cerebrovascular disease, diabetes, inflammatory disease, tuberous sclerosis, idiopathic pulmonary fibrosis, and polycystic ovary syndrome. Altered expression of miR-136-5p in specific ailments results in downstream gene expression imbalance, influencing cellular behaviors, such as migration, proliferation, and invasion. Furthermore, miR-136-5p is implicated in five signaling pathways, where it is critical in the onset and advancement of a number of illnesses. Additionally, it has the potential to promote drug resistance to a variety of medications.

The current review aims to elucidate the role of miR-136-5p in both cancer progression and non-cancerous disorders, emphasizing dysregulated signaling pathways. It also sheds light on the potential of this miRNA as a prognostic biomarker in cancer, offering valuable insights and directions for future research.

This study aimed to explore the potential of natural anticoagulant compounds as synergistic inhibitors of the main protease (Mpro) and papain-like protease (PLpro) of SARS-CoV-2 and find effective therapies against SARS-CoV-2 by investigating the inhibitory effects of natural anticoagulant compounds on key viral proteases.

The objectives of this study were to conduct rigorous virtual screening and molecular docking analyses to evaluate the binding affinities and interactions of selected anticoagulant compounds with Mpro and PLpro, to assess the pharmacokinetic and pharmacodynamic profiles of the compounds to determine their viability for therapeutic use, and to employ molecular dynamics simulations to understand the stability of the identified compounds over time.

In this study, a curated collection of natural anticoagulant compounds was conducted. Virtual screening and molecular docking analyses were performed to assess binding affinities and interactions with Mpro and PLpro. Furthermore, pharmacokinetic and pharmacodynamic analyses were carried out to evaluate absorption, distribution, metabolism, and excretion profiles. Molecular dynamics simulations were performed to elucidate compound stability.

Natural compounds exhibiting significant inhibitory activity against Mpro and PLpro were identified. A dual-target approach was established as a promising strategy for attenuating viral replication and addressing coagulopathic complications associated with SARS-CoV-2 infection.

The study lays a solid foundation for experimental validation and optimization of identified compounds, potentially leading to the development of precise treatments for SARS-CoV-2.

Glaucoma is an eye disease. Its pathological process involves retinal ischemia-reperfusion (I/R), which causes irreversible blindness in patients. Geniposide (Gen), a bioactive iridoid glycoside extracted from the fruit of gardenia, exhibits many biological effects, such as anti-oxidative stress, anti-inflammation, anti-apoptosis, anti-endoplasmic reticulum stress, and anti-thrombotic effects. However, its therapeutic potential for the retinal I/R injury remains unclear. This study investigated the protective effect of Gen against I/R injury by inhibiting abnormal reactive oxygen species (ROS) and retinal neuron apoptosis.

We used oxygen-glucose deprivation/reoxygenation (OGD/R) to induce R28 cells to mimic the pathological process of I/R in glaucoma. We conducted CCK-8 analysis and TUNEL staining to examine cell proliferation and apoptosis in glaucoma. Western blotting was used to assay the expressions of apoptosis and Akt/Nrf-2 pathway-related proteins.

The production of ROS was detected by using the corresponding kit. Cell viability decreased, whereas TUNEL staining-positive cells and ROS production increased after the OGD/R injury. The contents of cleaved caspase-3 and Bax/Bcl-2 increased after the OGD/R injury. Treatment with 200 μM of Gen effectively improved the cell viability and suppressed cell apoptosis and ROS production. In addition, Gen could significantly promote the activation of the Akt/Nrf-2 signaling pathway in R28 cells, which was blocked by the inhibition of Akt/Nrf-2. We in vivo verified the neuroprotective effect of Gen by establishing an acute high intraocular pressure (aHIOP) model and obtained similar results to those of the in vitro experimental results.

Hence, it can be suggested that Gen provides neuroprotection against the OGD/R-induced injury of R28 cells by activating the Akt/Nrf-2 signaling pathway, which is beneficial for the clinical treatment of glaucoma.

Glycans constitute the primary components of proteins that regulate key carcinogenic processes in cancer progression. This study investigated the significance of O-glycan synthesis in the pathogenesis, outcome, and therapy of pancreatic cancer (PC).

Transcriptomic data and clinical prognostic information of PC were acquired via TCGA and GEO databases. CSA database was used to obtain single-cell data of PC. The O-glycan biosynthesis signaling pathway and its related genes were acquired via the MSigDB platform. The non-negative matrix factorization (NMF) clustering was utilized to construct the O-glycan biosynthesis-associated molecular subtypes in PC. The LASSO and Cox regression were utilized to build the prognostic prediction model. We utilized real-time quantitative PCR (qRT-PCR) to verify the expressed levels of model genes. Single-cell analysis was utilized to investigate the levels of target genes and O-glycan biosynthesis signaling pathway in the PC tumour microenvironment.

We obtained 30 genes related to O-glycan biosynthesis, among which 15 were associated with the prognosis of PC. All PC samples were grouped into two distinct molecular subtypes associated with O-glycan biosynthesis: OGRGcluster C1 and OGRGcluster C2, and compared to OGRGcluster C1. PCs in OGRGcluster C2 had a more advanced clinical stage and pathological grade, worse prognosis, and more active O-glycan biosynthesis function. Immune analysis indicated that naïve B cell, CD8⁺ T cell, memory-activated CD4⁺ T cell, and monocytes displayed remarkably higher infiltration levels in OGRGcluster C1 while resting NK cell, macrophages M0, resting dendritic cell, activated dendritic cell, and neutrophils exhibited markedly higher infiltration levels in OGRGcluster C2. OGRGcluster C1 exhibited higher sensitivities to drugs, such as cisplatin, irinotecan, KRAS(G12C) inhibitor-12, oxaliplatin, paclitaxel, and sorafenib. Besides, we built the O-glycan biosynthesis-related prognostic model (including SPRR1B, COL17A1, and ECT2) with a good prediction performance. SPRR1B, COL17A1, and ECT2 were remarkably highly expressed in PC tissues and linked to a poor outcome. Single-cell analysis revealed that O-glycan biosynthesis was observed only in PC, and consistent with this, the target genes were significantly enriched in PC.

We first constructed molecular subtypes and prognostic models related to O-glycan biosynthesis in PC. It is clear that O-glycan biosynthesis is related to the development, prognosis, immune microenvironment, and treatment of PC. This provides new strategies for stratification, diagnosis, and treatment of PC patients.

Breast cancer is a frequently diagnosed malignant disease and the primary cause of mortality among women with cancer worldwide. The therapy options are influenced by the molecular subtype due to the intricate nature of the condition, which consists of various subtypes. By focusing on the activation of receptors, Epidermal Growth Factor Receptor (EGFR) tyrosine kinase can be utilized as an effective drug target for therapeutic purposes of breast cancer.

The objective of this study is to compare the underlying pharmacological properties of several modified agents to the parental Cordycepin to target and inhibit the EGFR tyrosine kinase high expression, and to discover the inhibitor with the highest affinity for this drug target to treat the breast cancer patients.

The Maestro Application of Schrödinger Suite Paid Software was initially employed for conducting extra precision (XP) structure-based virtual screening to evaluate the binding affinity of the Cordycepin and its 500 structural derivatives with the EGFR tyrosine kinase protein structure. In addition, the anti-breast cancer activity of the chosen compounds was assessed by looking at their drug-likeness and ADMET characteristics using Lipinski's rule of five along with Quantitative structure-activity relationship (QSAR) validation, the prediction of cell line anti-cancer, as well as anti-breast cancer activity of top docked scored compounds. Subsequently, the Desmond paid software-based molecular dynamics simulations (MDS) were conducted for a duration of 100 nanoseconds on the promising candidates followed by the binding free energy estimation was performed utilizing MM-GBSA analysis. To determine the stability of the protein-ligand complex, root-mean-square deviation (RMSD), root-mean-square fluctuation (RMSF), protein-ligand interactions, and other necessary parameters were evaluated from the 100 ns MDS Trajectory.

Based on the overall analysis of our study, N (6)-octylamine adenosine (CID-194932) reported the optimum inhibitory potential against the EGFR tyrosine kinase protein, followed by Adenosine 5-monophosphate (CID-83862) and Cordycepin (CID-6303), which compared favorably to the control drug Vandetanib (CID-3081361).

Consequently, these derivative compounds Cordycepin have the potential to be utilized as lead molecules in the development of highly effective and potent EGFR tyrosine kinase inhibitors for the treatment of breast cancer patients.

The effectiveness of pharmaceutical treatment methods is vital in cancer treatment. In this context, various targeted drug delivery systems are being developed to minimize or eliminate existing deficiencies and harms. This study aimed to model the interaction of MEN-based drug-targeting systems with cancer cells and determine the properties of interacting MENs.

Magnetoelectric Nanostructures (MENs) have both targeting and nano-electroporation effects due to their ferroic properties. Among these structures, the most used nanoparticles as targeting mechanisms are CoFe2O4-BaTiO3 structures. For this purpose, the electrical field produced by MENs was modeled using MATLAB R2023b, and a theoretical data pool of appropriate physical properties was created. Testing and applying other magnetoelectric materials defined in the literature may be costly and time-consuming.

The problems with MENs can be eliminated by performing theoretical simulations of each material before proceeding with laboratory tests.

By simulating the interaction of CoFe2O4-BaTiO3 MENs with cancer cells, physical properties affecting drug targeting were theoretically identified and a data pool of MENs with these properties was created.