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.

The ability of cells to sense and adapt to metabolic changes and environmental variations is essential for their functions. Recent advances in synthetic biology have uncovered increasing mechanisms through which cells detect changes in metabolism and environmental conditions, leading to broader applications. However, a systematic review on the regulation of cellular metabolism and environmental adaption is currently lacking. This article presents a comprehensive overview of this field from three perspectives. First, it introduces key transmembrane and sensor proteins involved in the cellular perception of metabolic and environmental changes. Next, it summarizes the adaptive regulation mechanisms that natural cells employ when confronted with intracellular and extracellular metabolic changes. Finally, the review explores the application scenarios based on cellular adaptive regulation in three aspects: dynamic control, rational metabolic engineering, and adaptive evolution and makes an outlook on the future development directions in this field. This review not only provides a comprehensive perspective on the mechanisms by which cells sense metabolic and environmental variations, but also lays a theoretical foundation for further innovations in the field of synthetic biology. With the continuous advancement of future technologies, a deeper understanding of cellular adaptive regulation mechanisms holds great potential to drive the development and application of novel biomanufacturing platforms.
Adaptation, Physiological ; Synthetic Biology ; Metabolic Engineering/methods* ; Environment ; Bacteria/genetics*

L-valine is an important essential branched-chain amino acid widely used in industries such as feed, pharmaceuticals, and food. In order to further enhance the production performance of L-valine, this study systematically engineered the metabolism of a Corynebacterium glutamicum strain, preserved in the laboratory, which is capable of producing L-valine. First, strain VH-9 was obtained by enhancing the precursor supply, synthesis pathway, and transport system of L-valine. In a 5 L fermenter, the titer, yield, and productivity of L-valine were 76.6 g/L, 0.45 g/g, and 2.39 g/(L·h), respectively. Furthermore, strain VH-18 was obtained by enhancing the uptake of substrate glucose and balancing energy supply to reduce succinate accumulation, with the titer, yield, and productivity of L-valine increased to 82.7 g/L, 0.52 g/g, and 2.58 g/(L·h), respectively. After optimization of fermentation conditions, the titer, yield, and productivity of L-valine in strain VH-18 were further improved to 88.7 g/L, 0.54 g/g, and 2.77 g/(L·h), respectively. This study has achieved the high-efficiency production of L-valine through a systems metabolic engineering strategy.
Corynebacterium glutamicum/genetics* ; Metabolic Engineering/methods* ; Valine/biosynthesis* ; Fermentation ; Glucose/metabolism*

Myocardial ischemia-reperfusion injury （MIRI） is a serious complication of revascularization in patients with myocardial infarction. The nuclear factor erythroid 2-related factor 2 （Nrf2）/heme oxygenase-1 （HO-1） signaling pathway plays an important role in the pathological process of MIRI. Currently，research has found that traditional Chinese medicine has a good effect on myocardial injury caused by ischemia-reperfusion. Based on the Nrf2/HO-1 signaling pathway，this article summarizes the action mechanism of traditional Chinese medicine formulas and monomers in intervening with MIRI. It is found that traditional Chinese medicine formulas （Yixin formula，Wenyang tongmai formula，Dingxin formula Ⅰ），monomers such as terpenoids （ginkgolides， astragaloside Ⅳ，ginsenosides），phenols （brazilin，hematoxylin A，resveratrol） and quinones （aloe，emodin） can alleviate MIRI by activating the Nrf2/HO-1 signaling pathway，inhibiting oxidative stress and inflammatory reactions，etc.

Objective The best evidence of respiratory muscle training for patients with mechanical ventilation in ICU after machine withdrawal was extracted and summarized to provide evidence-based evidence for respiratory muscle training for patients with mechanical ventilation after machine withdrawal.Methods We searched relevant guideline networks and association websites,as well as PubMed,Web of Science,Embase,CINAHL,CNKI,VIP,Wanfang and other databases to collect relevant guidelines,clinical decisions,evidence summaries,expert consensuses,systematic reviews and randomized controlled studies,and the search time limit is from the establishment of the databases to July 30,2023.There were 2 researchers who independently evaluated the literature quality and extracted data.Results A total of 13 articles were included,including 2 guidelines,2 clinical decisions,5 systematic reviews and 4 expert consensuses.There were 24 pieces of evidence being summarized in 7 categories,including training team,training evaluation,training methods,training frequency,training safety,training effect evaluation and health education.Conclusion This study summarizes the best evidence for respiratory muscle training in patients with mechanical ventilation after withdrawal,which can provide references for medical staffs to conduct respiratory muscle training for patients after withdrawal.It is recommended that medical staff should consider the clinical situation when applying the evidence,and selectively apply the best evidence.

Objective To explore the mechanism of acute liver injury induced by Cortex dictamni through network pharmacology and in vivo experiment in animal.Methods The chemical constituents and targets of Cortex dictamni were retrieved from TCMSP,TCMIP and SwissTargetPrediction databases,and the related targets of liver injury diseases were identified through GeneCards and CTD databases.The protein interaction network of the intersection targets was analyzed by STRING database and the core targets were selected.The GO function and KEGG pathway enrichment analysis were completed by DAVID database,and the multi-level association network diagram of"drug-component-target"was constructed by Cytoscape software.In the animal study,Cortex dictamni was administered to mice at a dosage of 92.7 g/(kg·d)via intragastric administration,and the biological samples were collected after 7 days.The pathological changes of liver were observed by hematoxylin-eosin(HE),Masson and Oil Red O staining.The expression levels of alanine aminotransferase(ALT),aspartate aminotransferase(AST),alkaline phosphatase(ALP),and lactate dehydrogenase(LDH)in serum,as well as malondialdehyde(MDA),superoxide dismutase(SOD),tumor necrosis factor-α(TNF-α),and interleukin(IL)-1β in liver tissues,were quantified using enzyme-linked immunosorbent assay(ELISA).The expressions of protein kinase B1(AKT1),IL-6,TNF-α,tumor protein p53(TP53),cystatin 3(CASP3),and IL-1β mRNA in liver tissues were determined using real-time quantitative reverse transcription PCR(qRT-PCR).Molecular docking was employed to verify the binding affinity of potentially toxic components to their respective targets.Results A total of 14 chemical constituents,244 predicted targets and 202 intersection targets with liver injury were obtained.The GO biological process analysis mainly involved positive regulation of gene expression,negative regulation of apoptosis process.KEGG pathway enrichment analysis mainly included cancer pathway and PI3K-Akt,TNF,IL-17 signaling pathways.The pathological sections revealed severe hemorrhage,a considerable amount of hepatocyte necrosis,nuclear fragmentation or dissolution in the liver tissues of mouse with HE staining after the administration of Cortex dictamni.Masson staining showed evident fibrosis in the liver tissues,while Oil Red O staining indicated a substantial production of lipid droplets.Compared with the control group,the ELISA results demonstrated a significant increase in serum AST,ALT,ALP,LDH levels,as well as hepatic MDA,TNF-α,and IL-1β levels(P<0.05),and a decrease in hepatic SOD levels(P<0.05)in the treated group.The qRT-PCR results indicated a significant elevation in the expression levels of relevant mRNAs in the liver tissues of the treated mice(P<0.05).Molecular docking showed that the potentially toxic components of obacunone,dictamnine and fraxinellon had good binding affinity to AKT1,IL-6,TNF-α,TP53,CASP3 and IL-1β.Conclusion Obacunone,dictamnine,fraxinellon,and limonin might be the potential toxic components of acute liver injury induced by Cortex dictamni in mice.Cortex dictamni could act on the liver by changing the expressions of AKT1,IL-6,TNF-α,TP53,CASP3,IL-1β and other proteins,affecting energy metabolism,cell differentiation,inflammation,oxidative stress and immunity,leading to liver injury.

Dictamni cortex is the root bark of Rutaceae plants.It is the main medicinal part and the key drug of 'Zhuhuang Fengbi'.It has the effects of clearing heat and detoxifying,dispelling wind and drying dampness,and relieving itching.Dictamni cortex mainly contains 228 chemical components such as alkaloids,sesquiterpenes,limonoids,fatty acids,volatile oils,flavonoids,steroids,etw.Its pharmacological activities in vivo and in vitro include antibacterial activity,anti-inflammatory activity,hepatoprotective activity,cardiovascular protection activity,insecticidal activity,anticancer activity,anti-allergic activity,and improvement of gastrointestinal activity.It has been reported that Dictamni cortex also has potential hepatotoxicity,among which dictamnine,fraxinellone and limonin compounds are potential hepatotoxic components.In this paper,the chemical constituents,pharmacological effects and toxicity of Dictamni cortex are reviewed by consulting domestic and foreign literature,to provide theoretical support for the clinical rational application and related product development of Dictamni cortex.

The incidence of breast cancer is increasing year by year,and its pathogenesis is highly complex.The dysregulation of gut microbiota function is closely related to the occurrence and development of breast cancer.The estrogen levels through enterohepatic circulation is regulated by β-glucuronidase produced by the gut microbiota,thereby influencing the occurrence and development of hormone receptor-positive breast cancer and leading to tamoxifen resistance.The metabolites from the gut microbiota,such as short-chain fatty acids(SCFAs)and lithocholic acid(LCA),can participate in regulating the tumor cell cycles and cell proliferation.The colonization of gut microbiota maintains the integrity of the intestinal barrier and regulates the anti-tumor immunity mediated by T lymphocytes.Maintaining gut microbiota homeostasis can enhance the efficacy of tumor chemotherapy and immunotherapy and reduce the adverse reactions in anti-tumor treatments.The targeted action of engineered probiotics in immunotherapy can improve the precision of drug treatment.The effect of gut microbiota on radiotherapy is not yet clear,but regulating gut microbiota can aid in the treatment of radiation enteritis.This review discusses the correlation and effect of gut microbiota on breast cancer and analyzes its role in the treatment of breast cancer.

Objective To develop multimodal joint cognitive representations for the research of visual cognitive activities of the brain,enhance the classification performance of visual information cognitive representations,predict brain electro-encephalogram(EEG)responses from visual image features,and decode visual images from EEG signals.Methods A architecture combining a multimodal variational autoencoder network with the Mixture of Product Experts(MoPoE)approach and with a style generation adversarial network based on adaptive discriminator augmentation(Style-GAN2-ADA)was used for facilitating the learning of cognitive representations and the encoding and decoding of EEG signals.This framework not only catered to classification tasks but also enabled cross-modal generation of images and EEG data.Results The present study integrated features from different modalities,enhancing the classification accuracy of cognitive representations of visual information.By aligning the feature spaces of diverse modalities into a cohesive latent space,cross-modal generation tasks were made possible.The cross-modal generation results of EEG and images,derived from this unified latent space,outperformed the one-way mapping methods that involved transition from one modality to another employed in previous research.Conclusion This study effectively integrates and aligns information from various modalities,enabling the classification performance of joint cognitive representations beyond any single modality.Moreover,the study demonstrates superior outcomes in cross-modal generation tasks compared to modality-specific unidirectional mappings,which is expected to offer a new line of thought for the effective unified encoding and decoding modeling of visual cognitive information in the brain.