ObjectiveThis study aims to explore the neurotoxicity mechanism of Dictamni Cortex by integrating network toxicology and metabolomics techniques. MethodsThe neurotoxicity targets induced by Dictamni Cortex were screened by the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform （TCMSP）， Traditional Chinese Medicine Information Database （TCM-ID）， and Comparative Toxicogenomics Database （CTD）. The target predictions of the components were performed by the Swiss Target Prediction tool. Neurotoxicity-related targets were collected from the Pharmacophore Mapping and Potential Target Identification Platform （PharmMapper）， GeneCards Human Gene Database （GeneCards）， DisGeNET Disease Gene Network （DisGeNET）， and Online Mendelian Inheritance in Man （OMIM）， and the intersection targets were identified. Protein-protein interaction （PPI） analysis， Kyoto Encyclopedia of Genes and Genomes （KEGG） pathway analysis， and Gene Ontology （GO） enrichment analysis were conducted. A "drug-compound-toxicity target-pathway" network was constructed via Cytoscape software to display the core regulatory network. Based on the prediction results， the neurotoxicity mechanism of Dictamni Cortex in mice was verified by using hematoxylin-eosin （HE） staining， Nissl staining， enzyme-linked immunosorbent assay （ELISA）， quantitative real-time fluorescence polymerase chain reaction （Real-time PCR）， and Western blot. The effects of Dictamni Cortex on the metabolic profile of mouse brain tissue were further explored by non-targeted metabolomics. ResultsNetwork toxicology screening identified 13 compounds and 175 targets in Dictamni Cortex that were related to neurotoxicity. PPI network analysis revealed that serine/threonine-protein kinase （Akt1） and tumor protein 53 （TP53） were the core targets. Additionally， GO/KEGG enrichment analysis indicated that Dictamni Cortex may regulate the phosphatidylinositol 3-kinase （PI3K）/Akt pathway and affect oxidative stress and cell apoptosis， thereby inducing neural damage. The "Dictamni Cortex-compound-toxicity target-pathway-neural damage" network showed that dictamnine， phellodendrine， and fraxinellone may be the toxic compounds. Animal experiments showed that compared with those in the blank group， the hippocampal neurons in the brain tissue of mice treated with Dictamni Cortex were damaged. The level of superoxide dismutase （SOD） and acetylcholine （ACh） in the brain tissue was significantly reduced， while the content of malondialdehyde （MDA） was significantly increased. The level of Akt1 and p-Akt1 mRNAs and proteins in the brain tissue was significantly decreased， while the level of TP53 was significantly increased. Non-targeted metabolomics results showed that Dictamni Cortex could disrupt the level of 40 metabolites in mouse brain tissue， thereby regulating the homeostasis of 13 metabolism pathways， including phenylalanine， glycerophospholipid， and retinol. Combined analysis revealed that Akt1， p-Akt1， and TP53 were significantly correlated with phenylalanine， glycerophospholipid， and retinol metabolites. This suggested that Dictamni Cortex induced neurotoxicity in mice by regulating Akt1， p-Akt1， and TP53 and further modulating the phenylalanine， glycerophospholipid， and retinol metabolism pathways. ConclusionDictamni Cortex can induce neurotoxicity in mice， and its potential mechanism may be closely related to the activation of oxidative stress， inhibition of the PI3K/Akt signaling pathway， and regulation of phenylalanine， glycerophospholipid， and retinol metabolism pathways.

ObjectiveThis study aims to investigate the effect of Dictamni Cortex on intestinal barrier damage in rats and its mechanism by untargeted metabolomics and targeted metabolomics for short-chain fatty acids （SCFAs）. MethodsRats were randomly divided into a control group， a high-dose group of Dictamni Cortex （8.1 g·kg^-1）， a medium-dose group （2.7 g·kg^-1）， and a low-dose group （0.9 g·kg^-1）. Except for the control group， the other groups were administered different doses of Dictamni Cortex by gavage for eight consecutive weeks. Hematoxylin-eosin （HE） staining was used to observe the pathological changes in the ileal tissue. Enzyme-linked immunosorbent assay （ELISA） was employed to detect the level of cytokines， including tumor necrosis factor-α （TNF-α）， interleukin-6 （IL-6）， and interleukin-1β （IL-1β）， in the ileal tissue of rats. Quantitative real-time fluorescence polymerase chain reaction （Real-time PCR） technology was used to detect the expression level of tight junction proteins， including zonula occludens-1 （ZO-1）， Occludin， and Claudin-1 mRNAs， in the ileal tissue of rats to preliminarily explore the effects of Dictamni Cortex on intestinal damage. The dose with the most significant toxic phenotype was selected to further reveal the effects of Dictamni Cortex on the metabolic profile of ileal tissue in rats by non-targeted metabolomics combined with targeted metabolomics for SCFAs. ResultsCompared with the control group， all doses of Dictamni Cortex induced varying degrees of pathological damage in the ileum， increased TNF-α （P<0.01）， IL-6 （P<0.01）， and IL-1β （P<0.01） levels in the ileal tissue， and decreased the expression level of ZO-1 （P<0.05， P<0.01）， Occludin （P<0.01）， and Claudin-1 （P<0.05） in the ileal tissue， with the high-dose group showing the most significant toxic phenotypes. The damage mechanisms of the high-dose group of Dictamni Cortex on the ileal tissue were further explored by integrating non-targeted metabolomics and targeted metabolomics for SCFAs. The non-targeted metabolomics results showed that 21 differential metabolites were identified in the control group and the high-dose group. Compared with that in the control group， after Dictamni Cortex intervention， the level of 14 metabolites was significantly increased （P<0.05， P<0.01）， and the level of seven metabolites was significantly decreased （P<0.05， P<0.01） in the ileal contents. These metabolites collectively acted on 10 related metabolic pathways， including glycerophospholipids and primary bile acid biosynthesis. The quantitative data of targeted metabolomics for SCFAs showed that Dictamni Cortex intervention disrupted the level of propionic acid， butyric acid， acetic acid， caproic acid， isobutyric acid， isovaleric acid， valeric acid， and isocaproic acid in the ileal contents of rats. Compared with those in the control group， the level of isobutyric acid， isovaleric acid， and valeric acid were significantly increased， while the level of propionic acid， butyric acid， and acetic acid were significantly decreased in the ileal contents of rats after Dictamni Cortex intervention （P<0.05， P<0.01）. ConclusionDictamni Cortex can induce intestinal damage by regulating glycerophospholipid metabolism， primary bile acid biosynthesis， and metabolic pathways for SCFAs.

Electrical impedance tomography (EIT) is a new non-invasive functional imaging technology, which has the advantages of non-invasion, non-radiation, low cost, fast response, portability and visualization. In recent years, more and more studies have shown that EIT has great potential in the detection of lung diseases and has been applied to early diagnosis and treatment of some diseases. This paper introduced the basic principle of EIT, discussed the research and clinical application of EIT in the detection of acute respiratory distress syndrome, chronic obstructive pulmonary disease, pneumothorax and pulmonary embolism, and focused on the summary and introduction of indicators and functional images of EIT related to the detection of lung diseases. This review will help medical workers understand and use EIT, and promote the further development of EIT in lung diseases as well as other fields.
Humans ; Electric Impedance ; Tomography/methods* ; Lung Diseases/diagnosis* ; Pulmonary Disease, Chronic Obstructive/diagnosis* ; Pulmonary Embolism/diagnosis* ; Respiratory Distress Syndrome/diagnosis*

Mitochondrial dysfunction is a critical factor in the pathogenesis of Alzheimer's disease (AD). The mitochondrial contact site and cristae organizing system (MICOS) plays a pivotal role in shaping the inner mitochondrial membrane, forming cristae junctions and establishing interaction sites between the inner and outer mitochondrial membranes and thereby serving as a cornerstone of mitochondrial structure and function. In the past decade, MICOS abnormalities have been extensively linked to AD pathogenesis. In particular, dysregulated expression of MICOS subunits and mutations in MICOS-related genes have been identified in AD, often in association with hallmark pathological features such as amyloid-β plaque accumulation, neurofibrillary tangle formation, and neuronal apoptosis. Furthermore, MICOS subunits interact with several etiologically relevant proteins, significantly influencing AD progression. The intricate crosstalk between these proteins and MICOS subunits underscores the relevance of MICOS dysfunction in AD. Therapeutic strategies targeting MICOS subunits or their interacting proteins may offer novel approaches for AD treatment. In the present review, we introduce current understanding of MICOS structures and functions, highlight MICOS pathogenesis in AD, and summarize the available MICOS-targeting drugs potentially useful for AD.

Rheumatoid arthritis (RA) is a chronic autoimmune disease characterized by persistent inflammation and joint damage, accompanied by the accumulation of plasma cells, which contributes to its pathogenesis. Understanding the genetic alterations occurring during plasma cell differentiation in RA can deepen our comprehension of its pathogenesis and guide the development of targeted therapeutic interventions. Here, our study elucidates the intricate molecular mechanisms underlying plasma cell differentiation by demonstrating that PRDX1 interacts with DOK3 and modulates its degradation by the autophagy-lysosome pathway. This interaction results in the inhibition of plasma cell differentiation, thereby alleviating the progression of collagen-induced arthritis. Additionally, our investigation identifies Salvianolic acid B (SAB) as a potent small molecular glue-like compound that enhances the interaction between PRDX1 and DOK3, consequently impeding the progression of collagen-induced arthritis by inhibiting plasma cell differentiation. Collectively, these findings underscore the therapeutic potential of developing chemical stabilizers for the PRDX1-DOK3 complex in suppressing plasma cell differentiation for RA treatment and establish a theoretical basis for targeting PRDX1-protein interactions as specific therapeutic targets in various diseases.

Probiotics play a crucial role in colon cancer treatment by metabolizing prebiotics to generate short-chain fatty acids (SCFAs). Colon cancer patients are frequently propositioned to supplement with probiotics to enhance the conversion and utilization of prebiotics. Nevertheless, the delivery and colonization of probiotics is hindered by the harsh conditions of gastrointestinal tract (GIT). Here, we devised a straightforward yet potent modified prebiotic-based "shield" (Gelatin-Inulin, GI), employing dietary inulin and natural polymer gelatin crosslinked via hydrogen bonding for enveloping Lactobacillus reuteri (Lr) to formulate synbiotic hydrogel capsules (Lr@Gl). The GI "shield" serves as a dynamic barrier, augmenting the resistance of Lr to gastric acid and facilitating its bioactivity and adherence in the GIT, synergizing with Lr to elicit an anti-tumor effect. Simultaneously, Lr@GI demonstrates anti-tumor effects by depleting glutathione to release reactive oxygen species, accompanied by the activation of NLRP3 (NOD-like receptor family pyrin domain containing 3), and the induction M1 macrophage polarization. Furthermore, Lr@GI can not only promote the recovery of intestinal barrier but also regulate intestinal flora, promoting the production of SCFAs and further exerting anti-tumor effect. Crucially, Lr@GI also potentiates the anti-tumor effect of 5-Fluorouracil. The construction and synergistic anti-tumor mechanism of synbiotic hydrogel capsules system provide valuable insights for gut microbial tumor therapy.

Due to its high sensitivity and non-destructive nature, Raman spectroscopy has become an essential analytical tool in biopharmaceutical analysis and drug development. Despite of the computational demands, data requirements, or ethical considerations, artificial intelligence (AI) and particularly deep learning algorithms has further advanced Raman spectroscopy by enhancing data processing, feature extraction, and model optimization, which not only improves the accuracy and efficiency of Raman spectroscopy detection, but also greatly expands its range of application. AI-guided Raman spectroscopy has numerous applications in biomedicine, including characterizing drug structures, analyzing drug forms, controlling drug quality, identifying components, and studying drug-biomolecule interactions. AI-guided Raman spectroscopy has also revolutionized biomedical research and clinical diagnostics, particularly in disease early diagnosis and treatment optimization. Therefore, AI methods are crucial to advancing Raman spectroscopy in biopharmaceutical research and clinical diagnostics, offering new perspectives and tools for disease treatment and pharmaceutical process control. In summary, integrating AI and Raman spectroscopy in biomedicine has significantly improved analytical capabilities, offering innovative approaches for research and clinical applications.

According to the theory of "toxin accumulation damaging yin"， the accumulation of pathological products and the disruption of homeostasis in the pre-metastatic niche （PMN） of malignant tumors correspond to "toxin accumulation" and "yin damage" respectively. During the dynamic evolution of PMN， the main pathogenesis in the initial stage is healthy qi deficiency and phlegm congestion， obstruction in the ying （营） and wei （卫） level， for which the therapeutic approach is fortifying spleen and warming yang， reinforcing healthy qi， consolidating the root， and assissting in resolving phlegm. In the progression stage， the predominant mechanism is mutual binding of phlegm and stasis， with collateral damage and pathological transformation. Treatment should focus on resolving phlegm and eliminating stasis， using insect-derived medicinals to attack accumulation and block pathological transmission. In the terminal stage， the main pathogenesis involves phlegm-stasis transforming into fire， with depletion of qi and yin， for which it is suggested to replenish qi and nourish yin， combine clearing and tonifying methods to control fire-toxin. After the PMN has formed， pathogenic toxin may flow along the collaterals， tending to lodge in corresponding viscera with functional imbalance and deviation between deficiency and excess， eventually giving rise to malignant tumors. Understanding the pathogenesis of the PMN in the malignant tumors based on the "toxin accumulation damaging yin" theory may provide a valuable perspective for developing traditional Chinese medicine strategies for the prevention and treatment of tumor metastasis.

ObjectiveTo compare the development status of health facilities in different regions （non-agricultural and agricultural districts）and different types across four dimensions： organizational management， health environment， health activities， and health outcomes， to explore factors that may affect the current development status and summarize effective experiences， and to provide a foundation for the subsequent comprehensive， standardized， and effective promotion of health facility development and tiered and classified management. MethodsInvestigators conducted a health status survey based on the four dimensions for 50 health facilities in 16 districts of Shanghai， representing three types （including government agencies， enterprises， and communities）. Evaluation forms were filled out through on-site observation and document reviews， which were developed in accordance with the Shanghai Health Settings Evaluation Standards （for trial implementation in 2019）. ResultsThe average total score of health facilities in Shanghai was （88.42±11.93） points， with an overall excellence rate of 86.0%. The excellence rate of each dimension， from highest to lowest， were healthy environment （84.0%）， organizational management （82.0%）， health activities （78.0%）， and health outcomes （44.0%）. Health facilities in agricultural districts scored higher in both total score and average score on the organizational management dimension compared to non-agricultural districts. The excellence rate for the organizational management dimension was also higher in agricultural districts than in non-agricultural districts. There was no statistical significance in the total score， the score of each dimension， the overall excellence rate， and the excellence rate of each dimension among different types of health facilities （P>0.05）. ConclusionThe development of health facilities among government agencies， enterprises， and communities in Shanghai has begun to yield positive results. Health facilities in non-agricultural districts should actively draw on the experience of those in agricultural districts， particularly in organizational management， adjust development ideas and planning based on their own realities， so as to continuously improve the levels of development.

ObjectiveTo investigate the mechanism by which Liuwei Dihuang Erzhiwan combination inhibit the lung metastasis of spontaneous breast cancer in mice by regulating the recruitment of myeloid-derived suppressor cells （MDSCs）. MethodThree hundred and eighty SPF-grade 10-month-old female breeders of Kunming mouse were palpated at the mammary gland site once every 3 days. Mice that have not had a lump touched after being raised for 6 months are used as control group. After tumor development， the mice were randomized into model， positive control （paclitaxel， intraperitoneal injection at 0.01 g·kg^-1 every other day for 22 d）， Liuwei Dihuangwan （0.65 g·kg^-1·d^-1 by gavage）， Erzhiwan （5.41 g·kg^-1·d^-1 by gavage）， and Liuwei Dihuang Erzhiwan combination （6.05 g·kg^-1·d^-1 by gavage） groups. The mice were euthanised when the tumor reached a diameter of about 15 mm， and the tumor and lung tissues were collected. The survival time， tumor mass， and lung metastasis rate of tumor-bearing mice were recorded. Hematoxylin-eosin （HE） staining was used to observe the histopathological and morphological changes of mouse tumor and lung tissues. Immunofluorescence （IF） was used to detect the distribution of MDSCs in tissues of mice in each group by double-staining of MDSCs cells with lymphocyte antigen 6 complex site G6D （Ly6G） and CD11 antigen-like family member B （CD11b）. Western blot was employed to determine the protein levels of matrix metalloproteinase-9 （MMP-9）， transforming growth factor-β （TGF-β）， zinc finger transcription factor 1 （Snail1）， and E-cadherin in the tumor tissue and CC motif chemokine 9 （CCL9） and CC motif chemokine receptor 1 （CCR1） in the lung tissue. ResultDuring the modelling period， the paclitaxel group and Chinese medicine intervention groups had longer median number of days of survival and lower tumor weight， lung metastasis rate， and lung nodule than the model group （P<0.05， P<0.01）. HE staining showed an increase in tumor cell necrosis in the paclitaxel group and the Liuwei Dihuang Erzhiwan combination group. The paclitaxel group and Chinese medicine intervention groups had lower fluorescence intensity of MDSCs in the tumor tissue than the model group （P<0.05， P<0.01）. Compared with the normal control group， the model group showed increased fluorescence intensity of MDSCs in the metastatic lung tissue （P<0.01）， which， however， was decreased in the paclitaxel group and Chinese medicine intervention groups （P<0.01）. The model group showed higher protein levels of MMP-9， TGF-β， and Snail1 and lower protein level of E-cadherin in the tumor tissue than in the normal control group （P<0.01）. Compared with model group， paclitaxel and Chinese medicine interventions downregulated the protein levels of MMP-9， TGF-β， and Snail1 （P<0.05， P<0.01） and upregulated the protein level of E-cadherin in the tumor tissue （P<0.01）. Moreover， the Liuwei Dihuang Erzhiwan combination group had lower protein levels of TGF-β and Snail1 than the Liuwei Dihuangwan group and Erzhiwan group （P<0.05）. In the metastatic lung tissue， the expression of CCL9 and CCR1 was higher in the model group than in the normal control group， paclitaxel group， and Chinese medicine intervention groups （P<0.05， P<0.01）. ConclusionLiuwei Dihuang Erzhiwan combination inhibit tumor growth， prolong survival time， and reduce the occurrence of lung metastasis in the mouse model of spontaneous breast cancer by reducing the recruitment of MDSCs in the tumor and lung tissues and modulating the phenotypes of epithelial-mesenchymal transition （EMT）-related molecules and the expression of CCL9/CCR1.