Extracellular vesicles (EVs) are those with a double-membrane structure that contains proteins, lipids, nucleic acids, and other biologically active substances that play an important role in cell–cell and cell–environment communication. They have also become an important mechanism for exchanging biologically active substances for cellular molecules. As many studies on EVs have been conducted, plant-derived extracellular vesicles (PDEVs) have also started attracting attention. The biological activity and stability of PDEVs are closely related to the extraction and separation methods, and choosing a separation method that meets the requirements of PDEVs is important. The extraction methods of PDEVs include ultracentrifugation, ultrafiltration, size-exclusion chromatography, etc. In recent years, it has been found through research that PDEVs possess biological properties, such as anti-inflammatory, anti-cancer, and anti-infective properties, and that they show unique advantages as therapeutic agents and drug carriers. Therefore, we have collected the scientific literature related to EVs derived from more than a dozen fruits and vegetables, and summarized and analyzed their extraction, separation, and roles in disease treatment, aiming to provide reference and inspiration for the in-depth study of the efficacy of new drugs.

We identified the effective components and the underlying mechanisms of Quince (Cydonia oblonga Mill, COM) extract against atherosclerosis. The effective components of COM extract were identified with UHPLC-Q-TOF-MS/MS. Network pharmacology was performed. A rat model of atherosclerosis induced by high-fat emulsion combined with vitamin D₃ was established. The anti-atherosclerosis effect of COM extract was evaluated from various aspects such as blood lipid regulation, anti-oxidative stress, anti-inflammatory response, and vascular protection function. We identified 14 serum components of COM extract using UHPLC-Q-TOF-MS/MS. Through prediction, 573 targets were obtained, among which 224 targets were atherosclerosis specific targets. The key targets included GSK3β, ESR1, EGFR, and HSP90AA1. The key signaling pathway was PI3K-Akt signaling pathway. Pharmacodynamics analysis showed that COM extract reduced the levels of TC, TG, and LDL-C as well as ALT and AST, while increased the level of HDL-C. Mechanistically, COM extract significantly increased serum SOD and GSH-Px activities, but decreased MDA content in atherosclerosis rats, showing antioxidant effects. Meanwhile, COM extract significantly down-regulated the levels of pro-inflammatory factors IL-1β, IL-6, TNF-α and CRP, but up-regulated anti-inflammatory factor IL-10. Additionally, COM extract increased the levels of NO, eNOS, and 6-keto-PGF1α; whereas, decreased the levels of ET-1 and TXB₂. Furthermore, COM extract significantly inhibited the mRNA and protein levels of EGFR, p-PI3K, p-AKT, GSK-3β, Bax, and Caspase-3 as well as the Bax/Bcl-2 ratio. Conclusively, COM extract exerts hypolipidemic, anti-oxidative, anti-inflammatory, anti-thrombotic and vascular endothelium protective effects on atherosclerosis rat model, which may be related to the inhibition of EGFR/PI3K/AKT/GSK-3β signaling pathway.

Natural products (NPs) have long been a cornerstone of pharmaceutical innovation, contributing to approximately 50% of FDA-approved drugs over the past four decades. However, traditional NP drug discovery faces significant hurdles, including laborious isolation processes, biodiversity constraints, and low hit rates in high-throughput screening. These hurdles often extend the development timelines to 10–15 years with costs exceeding $2 billion per drug. Artificial intelligence (AI) emerges as a transformative force, leveraging machine learning (ML), deep learning (DL), and generative models (Gen. AI) to expedite these processes. AI facilitates virtual screening of vast chemical libraries, predicts molecular interactions with unprecedented accuracy, and designs novel NP-inspired scaffolds, potentially reducing discovery time by up to 70%. This interdisciplinary approach not only addresses unmet medical needs but also aligns with global sustainability goals, potentially increasing success rates from <1% in traditional pipelines to over 10%. Ultimately, AI hints at revitalizing NP drug discovery, fostering innovative, eco-friendly therapeutics. This study reviews recent advancements in AI applications for NP drug discovery, including the challenges such as NPs representing only ~5% of screened compounds in many datasets, interpretability issues in “black-box” models, and ethical concerns over bioprospecting in biodiverse regions.

Background: Musashi-2 (MSI2) is a critical RNA-binding protein (RBP) whose ectopic expression drives the pathogenesis of various cancers. Accumulating evidence suggests that inducing ferroptosis of tumor cells can inhibit their malignant biological behavior as a promising therapeutic approach. However, it is unclear whether MSI2 regulates cell death in colorectal cancer (CRC), especially the underlying mechanisms and biological effects in CRC ferroptosis remain elusive. Methods: Experimental methods including qRT‒PCR, immunofluorescence, flow cytometry, western blot, co-immunoprecipitation, CCK-8, colony formation assay, in vitro cell transwell migration and invasion assays, in vivo xenograft tumor experiments, liver and lung CRC metastasis models, CAC mice models, transmission electron microscopy, immunohistochemistry, histopathology, 4D label-free proteomics sequencing, bioinformatic and database analysis were used in this study. Results: Here, we investigated that MSI2 was upregulated in CRC and positively correlated with ferroptosis inhibitor molecules. MSI2 deficiency suppressed CRC malignancy by inhibiting cell proliferation, viability, migration and invasion in vitro and in vivo; and MSI2 deficiency triggered CRC ferroptosis by changing the intracellular redox state (ROS levels and lipid peroxidation), erastin induced cell mortality and viability, iron homeostasis (intracellular total irons and ferrous irons), reduced glutathione (GSH) levels and mitochondrial injury. Mechanistically, through 4D-lable free proteomics analysis on SW620 stable cell lines, we demonstrated that MSI2 directly interacted with p-ERK and MSI2 knockdown downregulated the p-ERK/p38/MAPK axis signaling pathway, which further repressed MAPKAPK2 and HPSB1 phosphorylation, leading to decreased expression of PCNA and Ki67 and increased expression of ACSL4 in cancer cells. Furthermore, HSPB1 could rescue the phenotypes of MSI2 deficiency on CRC ferroptosis in vitro and in vivo. Conclusions: This study indicates that MSI2 deficiency suppresses the growth and survival of CRC cells and promotes ferroptosis by inactivating the MAPK signaling pathway to inhibit HSPB1 phosphorylation, which leads to downregulation of PCNA and Ki67 and upregulation of ACSL4 in cancer cells and subsequently induces redox imbalance, iron accumulation and mitochondrial shrinkage, ultimately triggering ferroptosis. Therefore, targeted inhibition of MSI2/MAPK/HSPB1 axis to promote ferroptosis might be a potential treatment strategy for CRC.

Pancreatic ductal adenocarcinoma (PDAC) is an aggressive malignancy with a poor prognosis that is driven primarily by oncogenic KRAS mutations present in > 90% of cases. KRAS mutations, particularly the G12D mutation which dominates in PDAC, fuel tumor initiation, progression, and immune evasion, thereby contributing to therapy resistance. Nevertheless, KRAS has long been considered "undruggable" due to its structure. Recent advances have spurred transformative progress in direct KRAS inhibition. While FDA-approved mutation-specific and pan-KRAS inhibitors show limited efficacy in PDAC, emerging agents (MRTX1133 and RMC-9805) have demonstrated preclinical promise. However, resistance remains a critical hurdle and is driven by pathway reactivation, secondary mutations, and metabolic adaptations. Alternative strategies targeting upstream regulators (SHP2 and SOS1) aim to block KRAS activation and associated resistance mechanisms. Preclinical studies have also highlighted synergistic benefits of combining KRAS inhibitors with MEK, PI3K, or CDK4/6 inhibitors, which are now undergoing clinical evaluation. Immunotherapies, including KRAS-targeted vaccines and adoptive T-cell therapies, have further expanded the therapeutic landscape of enhancing KRAS-targeted therapies in PDAC. The molecular basis of KRAS-driven PDAC, current inhibitors, resistance mechanisms, and innovative strategies are discussed herein to address treatment barriers. Opportunities to improve clinical outcomes are underscored in this challenging malignancy by integrating insights from preclinical and clinical research.

Cydonia oblonga Mill. (COM), mature fruit of genus Rosaceae, is consumed as a kind of traditional Chinese medicinal herb. Previous studies have shown that the components in COM extract have antioxidant, anti‐inflammatory, blood pressure‐lowering, blood lipid‐lowering, antithrombotic, and other biological activities. However, the quality markers (Q‐markers) of atherosclerosis (AS) have not been elucidated. The Q‐marker is based on the five core principles of traceability, transferability, specificity, measurability, validity, and prescription dispensing. In this study, the quality markers of quince were investigated by applying the ultraperformance liquid chromatography‐time‐of‐flight mass spectrometry (UHPLC/Q‐TOF‐MS/MS) method and network pharmacology method to highlight the three core elements which are, respectively, traceability transmission, measurability, and validity. At the first step, 72 components were identified by applying the ultraperformance liquid chromatography‐time‐of‐flight mass spectrometry (UHPLC/Q‐TOF‐MS/MS) method. In the next step, 46 candidate components of COM anti‐AS were obtained by network pharmacology, and then, 27 active components were filtered with the molecular docking assay. Finally, the 27 active components were intersected with 10 active components obtained by mass transfer and traceable quality markers. Four anti‐AS Q‐markers of COM were identified, including caffeic acid, chlorogenic acid, ellagic acid, and vanillic acid, which provided a reference for the quality control of quince. The methods and strategies can also be applied to other traditional Chinese medicines and their compound preparations, providing new ideas on the quantitative evaluation and identification of quality markers.