As activated hepatic stellate cells (aHSCs) play a central role in fibrogenesis, they have become key target cells for anti-fibrotic treatment. Nevertheless, the therapeutic efficiency is constrained by the exosomes they secrete, which are linked to energy metabolism and continuously stimulate the activation of neighboring quiescent hepatic stellate cells (qHSCs). Herein, an intercellular communication interference strategy is designed utilizing paeoniflorin (PF) loaded and hyaluronic acid (HA) coated copper-doped ZIF-8 (PF@HA-Cu/ZIF-8, PF@HCZ) to reduce energy-related exosome secretion from aHSCs, thus preserving neighboring qHSCs in a quiescent state. Simultaneously, the released copper and zinc ions disrupt key enzymes involved in glycolysis to reduce bioenergy synthesis in aHSCs, thereby promoting the reversion of aHSCs to a quiescent state and further decreasing exosome secretion. Therefore, PF@HCZ can effectively sustain both aHSCs and qHSCs in a metabolically dormant state to ultimately alleviate liver fibrosis. The study provides an enlightening strategy for interrupting exosome-mediated intercellular communication and remodeling the energy metabolic status of HSCs with boosted antifibrogenic activity.

The angiogenic microenvironment is a new blood vessel with different molecular and functional characteristics that sprouts on the original blood vessels through different mechanisms,which directly affects the process of tumor cell growth,proliferation,and migration and has an important impact on the occurrence and development of precancerous lesions of gastric cancer.Correa mode has shown that precancerous lesions of gastric cancer is the key pathological stage before the occurrence of gastric cancer,and it is of great significance to advance the prevention and treatment strategy to this stage.TCM believes that qi deficiency and blood stasis is the key pathogenesis of precancerous lesions of gastric cancer,and its basic treatment is to replenish qi and remove blood stasis,and based on the syndrome differentiation,drugs with the efficacy of nourishing yin and tonifying stomach,soothing the liver and regulating qi,resolving phlegm and dispersing lumps,and clearing heat and dampness for treatment.This article discussed the correlation between precancerous lesions of gastric cancer and angiogenic microenvironment and its regulatory pathways,and summarized the methods and mechanisms of TCM in the treatment of precancerous lesions of gastric cancer from the perspective of regulating angiogenic microenvironment-related pathways,in order to provide a reference for the treatment of precancerous lesions of gastric cancer with TCM.

To investigate the effect of Zhiwei Fuwei Pills (ZWFW) on the expression of mammalian target of rapamycin (mTOR)/autophagy key molecule yeast Atg6 homologue (Beclin1)/microtubuleassociated protein 1 light chain 3 (LC3) signaling axis key molecules in gastric antrum tissue of rats with precancerous gastric lesions (PLGC). METHODS: SPF SD rats were randomly divided into normal group, model group, folic acid group, ZWFW low-dose, medium-dose, high-dose group. In addition to the normal group, the model group, folic acid group, ZWFW low-dose, medium-dose and high-dose groups, were used to establish the PLGC rat model by five factors compound modeling methods: N-methyl-N ' - nitro-n-nitroguanidine (MNNG) combined with hunger and satiation, ethanol intragastric administration, free drinking of ammonia and ranitidine feed. The rats were treated with normal saline, folic acid tablet aqueous solution (0.002 g/kg), ZWFW low-dose, medium-dose, high-dose aqueous solution (0.42, 0.84, 1.67 g/kg) for 4 weeks, and the stomach was removed by laparotomy. Hematoxylineosin (HE) staining was used to observe the histopathological changes in the antrum of rats, and real-time polymerase chain reaction (real-time PCR), Western blot (WB) and immunohistochemistry (IHC) were used to detect the expression of mammalian target of rapamycin mTOR, yeast Atg6 homologue 1 (Beclin1), microtubule-associated protein 1 light chain 3β (LC3B) mRNA and protein in the antrum of rats. RESULTS: Compared with the normal group, the Gastric antrum tissue of the model group was distended, thinner gastric wall, palegastric mucosa, atrophic and flat folds, disordered course and nodules and vegetations were visible. HE staining showed that compared with the normal group, the gastric mucosal glands in the model group were crowded and disordered, and the cell morphology was different, including a large number of goblet cells, basophilic cytoplasm, large, hyper-chromatic and irregular nuclei, and mucosal muscle infiltration and destruction. Compared with the model group, treated by ZWFW can significantly improve the pathological manifestations of gastric mucosal gland structure disorder and cell atypia. Compared with the normal group, mTOR mRNA and protein expression were significantly increased (P< 0.05) and Beclin1 and LC3B mRNA and protein expression were significantly decreased (P<0.05) in the antral tissue of rats in the model group; compared with the model group, mTOR mRNA and protein expression were decreased (P<0.05) in the medium and high dose groups of ZWFW, Beclin1 and LC3B protein expression in the antral tissue of rats in the low dose group of ZWFW and Beclin1 and LC3B mRNA and protein expression were increased (P<0.05) in the medium and high dose groups. CONCLUSION: Zhiwei Fuwei Pills can significantly improve the abnormal histopathological findings of gastric mucosa in PLGC model rats, and the mechanism may be related to the down-regulation of mTOR expression, up-regulation of Beclin1 and LC3B expression and then promoting autophagy.

Coding with high-frequency stimuli could alleviate the visual fatigue of users generated by the brain-computer interface (BCI) based on steady-state visual evoked potential (SSVEP). It would improve the comfort and safety of the system and has promising applications. However, most of the current advanced SSVEP decoding algorithms were compared and verified on low-frequency SSVEP datasets, and their recognition performance on high-frequency SSVEPs was still unknown. To address the aforementioned issue, electroencephalogram (EEG) data from 20 subjects were collected utilizing a high-frequency SSVEP paradigm. Then, the state-of-the-art SSVEP algorithms were compared, including 2 canonical correlation analysis algorithms, 3 task-related component analysis algorithms, and 1 task discriminant component analysis algorithm. The results indicated that they all could effectively decode high-frequency SSVEPs. Besides, there were differences in the classification performance and algorithms' speed under different conditions. This paper provides a basis for the selection of algorithms for high-frequency SSVEP-BCI, demonstrating its potential utility in developing user-friendly BCI.
Humans ; Brain-Computer Interfaces ; Evoked Potentials, Visual ; Algorithms ; Discriminant Analysis ; Electroencephalography