Aug 2026· Journal of Extracellular Biology· 62 references
Extracellular vesicles in disease
Abstract
ABSTRACT Cell‐derived extracellular vesicles (EVs) are promising nanocarriers for therapeutic delivery platforms owing to their biocompatibility and capacity to protect and efficiently transport bioactive molecules. However, EV‐based therapeutics remain constrained by inefficient cargo loading and low production yields, which limit scalable biomanufacturing. To overcome these limitations, we exploited the use of the mechanosensitive ion channel Piezo1 as a robust regulator of EV biogenesis using HEK293FT cells co‐transfected with Piezo1 and the bioluminescent EV reporter PalmReNL. Activation of Piezo1 with Yoda1 (30 µM) increased PalmReNL‐EV release by 3‐fold, while GsMTx4 inhibited EV release by 80.7%. This effect was unaffected by removal of extracellular Ca 2+ but was suppressed by intracellular Ca 2+ chelation with BAPTA‐AM, indicating a reliance on intracellular Ca 2+ mobilisation. Small EVs (sEVs) from Piezo1‐activated cells were purified by anion exchange chromatography and analysed by proteomics, identifying 48 proteins exclusively in Piezo1‐induced sEVs preparations among 148 total detected, including cytoskeletal and stress‐related factors, while preserving enrichment of extracellular matrix (ECM) structural components prominent in both conditions. Yoda1 treatment increased the release of both large EVs (lEVs) and sEVs, with a particularly pronounced increase in sEV production. As a proof of concept for therapeutic cargo delivery, Yoda1 stimulation increased the incorporation of exogenously expressed interleukin‐10 (IL‐10) into sEVs by up to 4‐fold, and the bioactivity of sEV‐associated IL‐10 was validated using IL‐10‐CyCLoPs reporter cells. However, exposing Piezo1‐overexpressing cells to 30 µM Yoda1 markedly delayed cell adhesion and spreading, indicating that excessive Piezo1 activation may constrain sustained production of therapeutic sEVs. Collectively, these results identify mechanotransduction as a key regulator of sEV biogenesis and underscore the need for precise temporal control, potentially achievable through ultrasound‐based modulation, for the rational engineering of next‐generation sEV therapeutics.
This study constructed a pH-responsive P-TN/SF@Fe-Cur composite coating that demonstrated significant anti-infective, anti-inflammatory, antioxidant, pro-angiogenic, and pro-osteogenic effects in rat subcutaneous infection and femoral defect models.
The results show that alternative transcript diversity extensively enters translation-supported proteoform space and establish a systematic link between transcript variation and protein functional diversification.
Felicia T. Jiang, Dengwang Chen, Ziwei Wang et al.· bioRxiv· 1 citation
Protein therapeutic design and property prediction are frequently hampered by data scarcity. Here we propose a model, DyAb, that addresses these issues by leveraging a pair-wise representation to predict differences in binding affinity, rather than absolute values. DyAb is built on top of a pre-trained protein language model and achieves a Spearman rank correlation of up to 0.85 on binding affinity prediction across monoclonal antibodies targeting three different antigens (EGFR, IL-6, and an internal target), given as few as 100 training data. We employ DyAb in two design contexts: as a ranking model to score combinations of known mutations, and combined with a genetic algorithm to generate new sequences. Our method consistently generates antibody variants with high binding rates, including designs that improve on the binding affinity of the lead molecule by more than ten-fold. DyAb represents a powerful tool for optimizing antibody binding affinity in low data regimes common in early-stage drug development.
Joshua Yao-Yu Lin, Jennifer L. Hofmann, Andrew Leaver‐Fay et al.· mAbs· 1 citation
Due to its importance and wide adoption, wheat cultivation is promptly required to shift towards sustainable practices, reducing the dependency on chemical components. Among bio-based solutions aimed at securing the sustainability of wheat cultivation, biostimulants offer a versatile platform of eco-friendly tools assuring sustainability and profitability. Microalgae present a concrete example of a biostimulant source due to their richness in metabolites and high value products. Therefore, this study evaluated the biostimulant potential of eleven eco-extracts prepared from soil-isolated microalgae strains. Eco-extracts applied via soil drench at low dose (0.1 g/L) were investigated for their biostimulant effects on wheat growth, physiology, yield, and quality under controlled conditions. Results demonstrated significant ameliorations in treated plants as compared to the control, with no phytoinhibitory effects. Remarkable enhancements were notable in growth parameters such as shoot and root lengths (+40-70%), physiological traits such as total chlorophyll and stomatal conductance (+7-52%), yield components in the example of grain number per spike and thousand grain weight (+17-103%), and grain quality namely protein and polyphenol content (+2-fold to 4-fold). Similarly, phosphorus accumulation and uptake were significantly improved, while soil physicochemical status was ameliorated, indicating enhanced fertility. Multivariate analysis and composite index ranking marked Chlorella sp. GA18, Chlorella sp. GA65, Scenedesmus sp. GA69, and Chlorococcum sp. GA63 as eco-extracts with consistent performances across all plant traits. These findings highlighted the promising potential of integrating microalgae-based eco-friendly extracts in sustainable wheat cultivation.
Amer Chabili, Z. Hakkoum, F. Minaoui et al.· Plant Science· 1 citation
ProteinReasoner is developed, a multimodal generative protein foundation model that sequentially connects amino acid sequence, evolutionary constraints and three-dimensional structure within a shared autoregressive architecture and suggests a general route towards reasoning across interdependent representations in other scientific domains.
Chaozhong Liu, Linlin Chao, Shaomin Ji et al.· bioRxiv· 1 citation
HydroGym is introduced, a solver-independent reinforcement learning platform providing more than 60 validated, openly available flow control environments spanning from canonical laminar flows to complex turbulent flows, with systematic progression in the Reynolds number up to Re = 4 × 105, and Mach number variations in two and three dimensions.
Christian Lagemann, Sajeda Mokbel, Miro Gondrum et al.· Nature· 1 citation