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Background: Ulcerative colitis (UC) is a chronic inflammatory disorder with a high incidence rate. UC has emerged as a significant global public health challenge mostly because of the limitations of current therapeutic strategies. The Lianweng formula (LWF) has exhibited promising efficacy in UC management; however, its precise mechanisms of action remain elusive, hindering its clinical translation and optimization.
Purpose: This study aimed to evaluate the effectiveness of LWF in treating UC and elucidate the underlying mechanisms.
Methods: This study systematically evaluated the therapeutic effects of LWF on the UC rat model using a multidimensional approach. First, disease progression was assessed using disease activity index (DAI) scoring, histopathological analysis, and proinflammatory cytokine quantification. Second, the restorative effects of LWF on colonic barrier integrity were investigated through western blotting, RT-qPCR, and immunofluorescence staining. Third, proteomic profiling was performed to identify the key signaling pathways mediating the therapeutic effects of LWF. Fourth, serum pharmacochemistry combined with high-throughput screening was applied to identify the bioactive components of LWF. Finally, in vitro mechanistic validation of target engagement and regulatory mechanisms was achieved through molecular dynamics simulations, a drug affinity responsive target stability (DARTS), cellular enthusiasm transfer assay (CETSA), dual-luciferase reporter assays, co-ip assay, small molecule pull-down experiments, and site-directed mutagenesis.
Results: LWF significantly alleviated pathological damage to the colon and suppressed the surge of proinflammatory cytokine in the UC rat model. Furthermore, LWF restored intestinal barrier integrity by increasing the goblet cell density and elevating the expressions of tight junction (TJ) proteins in colonic tissues. Proteomic profiling revealed that the β-arrestin 1 (Arrb1)/NF-κB axis is a central mechanism mediating the therapeutic effects of LWF. The results of high-throughput screening demonstrated that vanillin (VA), a blood-entry migratory component of LWF, might be a key compound involved in the therapeutic effects of LWF. The in vitro validation studies revealed that VA directly targeted the Ser302 residue of Arrb1, thereby inhibiting NF-κB transcriptional activation and nuclear translocation and ultimately preserving epithelial barrier function. These findings were rigorously validated through rescue experiments and site-directed mutagenesis assays, which confirmed the specificity of the VA-Arrb1 interaction and its functional relevance to barrier restoration.
Conclusion: LWF alleviated UC symptoms in a rat model by restoring intestinal barrier function through the modulation of the Arrb1/NF-κB signaling axis. Furthermore, VA was identified as the primary bioactive component of LWF, with its therapeutic efficacy mediated by the direct targeting of the Ser302 residue on Arrb1, resulting in suppressed NF-κB activation. This study establishes a novel paradigm that integrates serum pharmacochemistry and high-throughput screening technologies, which could serve as a viable solution to the longstanding challenge of identifying bioactive constituents in traditional Chinese medicine (TCM).
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http://dx.doi.org/10.1016/j.phymed.2025.157153 | DOI Listing |
Neural Netw
August 2025
Department of Statistical Sciences, University of Toronto, Ontario, Canada; Department of Computer Science, University of Toronto, Ontario, Canada; Department of Statistics and Data Science, MBZUAI, Abu Dhabi, UAE. Electronic address:
Mitigating catastrophic forgetting remains a fundamental challenge in incremental learning. This paper identifies a key limitation of the widely used softmax cross-entropy loss: the non-identifiability inherent in the standard softmax cross-entropy distillation loss. To address this issue, we propose two complementary strategies: (1) adopting an imbalance-invariant distillation loss to mitigate the adverse effect of imbalanced weights during distillation, and (2) regularizing the original prediction/distillation loss with shift-sensitive alternatives, which render the optimization problem identifiable and proactively prevent imbalance from arising.
View Article and Find Full Text PDFPhys Chem Chem Phys
August 2025
School of Physics, Shandong University, Jinan, Shandong, 250100, China.
The salting effect of osmolytes on the hydrophobic association and solvation of proteins has been extensively studied over several decades. However, the effect of the solute size and the underlying mechanisms are poorly documented. In this study, the effects of urea and trimethylamine--oxide (TMAO) on the pairwise interactions of hydrophobic carbon nanoparticles (NPs) with different sizes have been studied using molecular dynamics simulations.
View Article and Find Full Text PDFPhytomedicine
October 2025
Innovation Centre of Chinese Veterinary Medicine, College of Veterinary Medicine, China Agricultural University, Beijing, 100193, China; Key Biology Laboratory of Chinese Veterinary Medicine, Ministry of Agriculture and Rural Affairs, Beijing, 100193, China; National Center of Technology Innovation
Background: Ulcerative colitis (UC) is a chronic inflammatory disorder with a high incidence rate. UC has emerged as a significant global public health challenge mostly because of the limitations of current therapeutic strategies. The Lianweng formula (LWF) has exhibited promising efficacy in UC management; however, its precise mechanisms of action remain elusive, hindering its clinical translation and optimization.
View Article and Find Full Text PDFSci Rep
July 2025
Center for Medical Artificial Intelligence Technology Innovation, Zhuhai Fudan Innovation Research Institute, Zhuhai, China.
Medical imaging is essential in the study of chest virus infections. Due to data sovereignty issues in healthcare, it is essential to employ federated learning to overcome these obstacles. However, obtaining all relevant data at once is challenging, as it is often acquired incrementally.
View Article and Find Full Text PDFPlant Biol (Stuttg)
May 2025
Chair for Forest Growth and Yield Science, Department of Life Science Systems, TUM School of Life Sciences, Technical University of Munich, Freising, Germany.
The increasing severity and frequency of droughts will play a pivotal role in shaping future forest ecosystems worldwide. Trees growing in mixtures are thought to be less susceptible to drought stress, but evidence for such positive admixture effects remains limited. This study examines how interspecific neighbourhood structures affect the growth responses of pine and oak species under recurrent drought stress in two contrasting forest ecosystems.
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