Brain delivery of drugs remains challenging due to the presence of the blood-brain barrier (BBB). With advances in nanotechnology and biotechnology, new possibilities for brain-targeted drug delivery have emerged. Biomimetic nano drug delivery systems with high brain-targeting and BBB-penetrating capabilities, along with good biocompatibility and safety, can enable 'invisible' drug delivery. In this review, five different types of biomimetic strategies are presented and their research progress in central nervous system disorders is reviewed. Finally, the challenges and future prospects for biomimetic nano drug delivery systems in intracerebral drug delivery are summarized.

MYB transcription factors are involved in the regulation of various secondary metabolites biosynthesis. Gardenia jasminoides Ellis is the commonly used Chinese herbal medicine, and its main active ingredient is geniposide. Here, leaves and flower buds at different developmental stages of G. jasminoides were used to explore MYB transcription factors related to geniposide biosynthesis based on genome and transcriptome analysis. Transcriptome data analysis showed that, different from the expression of the common pathway genes for terpenoid biosynthesis, the expression level of genes in the specific pathway of geniposide biosynthesis was significantly higher in flower buds than in leaves, which was the same as the organ accumulation pattern of this component. And the promoter regions of geraniol synthase, iridoid synthase and geniposidic acid methyltransferase involved in the specific pathway all contained multiple MYB-binding sites. A total of 105 MYB transcription factors were obtained by annotating the coding genes of G. jasminoides, which were divided into 68 1R-MYB, 33 R2R3-MYB, 3 3R-MYB and 1 atypical MYB transcription factor according to the number of conserved domain. Based on the analysis of phylogenetic tree and quantitative real-time PCR, three candidate MYB transcription factors related to geniposide biosynthesis were selected, including potential positive regulation factor GjMYB23 and negative regulation factors GjMYB31 and GjMYB73. The results of this study will lay a foundation for searching the regulation of geniposide biosynthesis and further analysis of the quality formation mechanism of G. jasminoides, so as to promote the breeding of excellent varieties of G. jasminoides.

Most drugs need to interact with cell membrane to reach the biological target, so that membrane affinity assay is an important early screening step in drug discovery. However, at present, the traditional oil-water distribution method is still used, a new, simple and accurate method for membrane affinity assay is urgently needed. In this study, according to the colorimetric principle, a new assay model based on polydiacetylene vesicles was optimized through a series of experiments including different concentrations of vesicle solution, temperature, or pH reaction environment. On this basis, tetracaine hydrochloride, 2-methylimidazole and histamine were used as model drugs to measure the membrane affinity constants and verify the between-batch precision of the optimized assay model (relative standard deviation less than 5%). In addition, polydiacetylene vesicles were stable for up to 180 days, demonstrating the potential application of the assay model. This strategy is simple, stable, reliable, with high reproducibility, low cost and easy to promote, which provided a new tool and a new direction for the high-throughput assay of membrane affinity.

There are many multi-original medicinal materials in Chinese Pharmacopoeia, and the mixed use of medicinal materials from different sources is common, which has certain influence on the stability of clinical medication. In this study, pyrosequencing technology was used to screen species-specific single nucleotide polymorphisms (SNP) from commonly used DNA barcode sequences, and a rapid and accurate molecular identification method for original species in mixed medicinal powder of Epimedii Folium was established. Multiple sequence alignment analysis showed that the 176th (C/T) mutation and the 196th (A/G) mutation of ITS, the 123rd (C/G) mutation of matK and the 892nd (A/C) mutation of rbcL could be used as the unique SNPs of E. sagittatum, E. koreanum, E. brevicornu and E. pubescens, respectively. In this study, the applicability of pyrosequencing and Sanger sequencing methods in the sequencing of mixture samples was investigated from the perspective of sensitivity and stability. Pyrosequencing method has higher detection sensitivity than Sanger sequencing method for low content samples in the mixed samples. Stability analysis showed that pyrosequencing technology could still obtain effective sequencing results for the amplified products of template DNA after 45 min of 95 ℃ high temperature water bath, while the critical point of Sanger sequencing method was 30 min. In this study, a new identification technology of Epimedii Folium mixed powder primordial species based on pyrosequencing and specific SNP was developed, which can quickly and accurately identify the mixed use of Epimedii Folium with high sensitivity and stability, and can also support the identification of different primordial species and mixed powder primordial herbs, which is conducive to ensuring the consistency and stability of clinical medication.

To investigate the crucial role of particle size in the biological effects of nanoparticles, a series of mesoporous silica nanoparticles (MSNs) were prepared with particle size gradients (50, 100, 150, 200 nm) with the traditional Stober method and adjusting the type and ratio of the silica source. The correlation between toxicity and size-caused biological effects were then further examined both in vitro and in vivo. The results indicated that the prepared MSNs had a uniform size, good dispersal, and ordered mesoporous structure. Hemolytic toxicity was found to be independent of particle size. At the cellular level, MSNs with smaller particle sizes were more readily internalized by cells, which initiated to more intense oxidative stress, therefor inducing higher cytotoxicity, and apoptosis rate. In vivo studies demonstrated that MSNs primarily accumulated in the liver and kidneys of mice. Pharmacokinetic analysis revealed that larger MSNs were eliminated more efficiently by the urinary system than smaller MSNs. The mice's body weight monitoring, blood tests, and pathological sections of major organs indicated good biocompatibility for MSNs of different sizes. Animal welfare and the animal experimental protocols were strictly consistent with related ethics regulations of Zhejiang Chinese Medical University. Overall, this study prepared MSNs with a particle size gradient to investigate the correlation between toxicity and particle size using macrophages and endothelial cells. The study also examined the biosafety of MSNs with different particle sizes in vivo and in vitro, which could help to improve the safety design strategy of MSNs for drug delivery systems.

The main sources of natural drugs include various biological species such as plants, animals, and microorganisms. The accurate identification of these species is the bedrock of natural drug development. We propose a novel method of species identification in this paper: analysis of whole-genome (AGE), a molecular diagnostic method used to identify species by finding species-specific sequences from the whole genome and precisely recognizing the specific target sequences. We elaborate that the principle for species identification based on AGE is that the genome sequences of diverse species must differ and divide the implementation strategy of the method into two levels of research and application. Based on our analysis of its characteristics, the method would have the potential advantages of reliable principle, high specificity, and wide applicability. Moreover, three crucial concerns related to building method systems including genome acquisition, bioinformatics analysis, and database construction, are further discussed. In summary, we offer theoretical underpinnings and methodological guidance for the development of bioinformatics software and commercial kits, indicating AGE has great application potential in objects, subjects, and industries.

Depression is a common emotional disorder that seriously affects people's life and health all over the world. The pathogenesis of depression is complex, and traditional Chinese medicine (TCM) for antidepressants has a good therapeutic effect because of its multi-component, multi-pathway, and multi-target action mode. At present, the anti-depressive mechanism of TCM has not been fully clarified, but it is clear that depression is closely related to metabolic health. Therefore, in order to further explore the anti-depressive mechanism of TCM, this paper proposes research strategies on the anti-depressive mechanism of TCM based on functional metabolomics from the perspective of metabolism, the potential biomarkers of depression are analyzed with the help of multi-omics combined analysis technology, and the functional molecules of TCM for antidepressant are studied. Molecular biology techniques are used to accurately capture the molecular interactions between biomarkers of depression and functional compounds, which identify effective drug targets and further elucidate the biochemical functions and related mechanisms involved in depression metabolic disorders. This paper systematically reviews the research strategies and applications of functional metabolomics in the anti-depressive mechanisms of TCM, expounds on the core value of functional metabolomics, and summarizes the current research status and hot issues of TCM for antidepressants in recent years, providing new methods and new ideas for the study of mechanisms of TCM with the help of functional metabolomics.

The study aims to investigate the mechanism of Fengshining fecal microbiota transplants in the intervention of rheumatoid arthritis by ultra-performance liquid chromatography-quadrupole/electrostatic field obitrap high-resolution mass spectrometry (UHPLC-Q-Exactive Orbitrap-MS). All animal welfare and experimental procedures followed the regulations of the Medical Ethics Committee of Shanxi University of Chinese medicine. The rats were randomly divided into normal group, model group, fecal microbiota transplantation group and Tripterygium wilfordii polyglycoside group, and the collagen induced arthritis (CIA) was established. The changes of body weight and metatarpodal lesions of rats were evaluated. The serum of rats in each group was analyzed by liquid chromatography-mass spectrometry and metagenomic technology for differential metabolites and microflora. The protein expression levels of Toll-like receptors (TLR4), myeloid differentiation factor 88 (MyD88) and nuclear factor of kappa B (NF-κB p65) were detected by Western blot. A total of 13 different metabolites, including arachidonic acid, docosahexaenoic acid, 13S-hydroxyoctadecanodienoic acid and L-phenylalanine were screened from serum. Three metabolic pathways, including phenylalanine, tyrosine and tryptophan biosynthesis, phenylalanine metabolism and arachidonic acid metabolism were identified through pathway enrichment. Metagenomic analysis showed that the abundance of g_Bacteroides, g_Prevotella and p_Actinobacteria in CIA group was higher. The abundance of c_Clostridia, g_Akkermansia and s_Akkermansia_muciniphila in fecal microbiota transplantation group is higher. The hierarchical cluster heat map showed that Akkermansia was negatively correlated with L-phenylalanine; while positively correlated with docosahexaenoic acid. Prevotella was positively correlated with L-phenylalanine. Fecal microbiota transplantation group could significantly inhibit the expression of TLR4, MyD88 and p65 proteins in the synovium of rats (P < 0.01). The anti-rheumatoid arthritis effects of fecal microbiota transplantation group is closely related to the intervention of the metabolism of phenylalanine and arachidonic acid, through Akkermansia, Prevotella and other microorganisms, inhibition the TLR4/MyD88/NF-κB pathway.

Root rot severely restricts the sustainable development of Astragalus membranaceus var. mongholicus (AMM) industry. Resistance breeding is an economical and environmentally safe way to manage the disease and its key lies in the obtaining of resistance indicators. This study aimed to quickly and accurately screen the resistance-related (RR) metabolites so as to provide reference for the screening of indicators of AMM breeding for resistance. LC-MS-based targeted metabolomics and real-time quantitative PCR technology were employed, in combination with multivariate statistical analysis, in analyzing the dynamic changes of phenylpropanoid metabolites in AMM in response to root rot pathogen Fusarium solani (FS) infection and identifying the differential metabolites. The LC-MS method established showed high sensitivity; each metabolite had a good linear relationship (R² ≥ 0.968 9) in the corresponding linear range of the respective standard curve; the recoveries and the relative standard deviations (RSDs) (n = 6) ranged from 70% to 107% and from 1.2% to 9.9%, respectively. Obvious disturbances were observed in the changes of the targeted metabolites in AMM infected by FS. These metabolites, compared with the mock-inoculated (CK) group, showed different up or down regulation with time series. Calycosin-7-O-β-D-glucoside, ononin, calycosin and formononetin were identified as differential metabolites, and they all belong to flavonoids. The first three compounds were significantly negatively correlated (r ≤ -0.97, P < 0.05) with the content of FS in the root of AMM. As potential RR metabolites, they are helpful in obtaining promising resistance indicators for AMM against FS infection.

This study aimed to explore the effects of Ziziphi Spinosae Seme (ZSS) and Fried Ziziphi Spinosae Semen (FZSS) on metabolites and intestinal flora structure in insomnia mice by combining metabolomics analysis and 16S rRNA gene sequencing. Animal experimentation was approved according to the Committee on the Ethics of Animal Experiments of Shanxi University of Chinese Medicine (approval number: 2021DW172). The prediction targets were validated in para-chlorophenylalanine (PCPA) induced insomnia mice with administration of ZSS and FZSS for 5 days, respectively. Then pentobarbital sodium induced sleeping test were performed to evaluate the synergistic sleep-aiding effect of ZSS and FZSS. The metabolic profile of serum from insomnia mice was analyzed by UPLC-Q-Orbitrap MS. Different metabolites were screened combined with multivariate statistical analysis. The relevant metabolic pathways and networks were constructed by MetaboAnalyst 5.0. Intestinal flora changes were detected by 16S rRNA sequencing technology. Animal study indicated that, compared to PCPA-induced insomnia model, ZSS and FZSS shortened the sleeping latency and increased the sleeping duration. The serum metabolomics results showed that, there are 36 potential biomarkers associated with insomnia were identified. Compared with the model group, 25 and 27 differential metabolites were identified in the ZSS and FZSS groups, respectively. Both ZSS and FZSS groups could significantly adjust to the common 20 differential metabolites. A total of 10 pathways are closely related to insomnia, which including amino acid metabolism, energy metabolism and lipid metabolism. 5 metabolic pathways are shared in ZSS and FZSS, including phenylalanine, tyrosine and tryptophan biosynthesis, cysteine and methionine metabolism and so on. Arachidonic acid metabolism is the unique metabolic pathway for ZSS to improve sleep; 3 metabolic pathways including glutamate and glutamine are the unique regulatory pathway for FZSS to improve sleep. PCoA analysis showed that the structure of ZSS and FZSS recovered to blank group, ZSS and FZSS can decrease the abundance of Pvotella and increase the abundance of Lactobacillus. LEfSe and correlation analysis between metabolites and differential intestinal flora showed that kynurenic acid, L-glutamic acid, D-proline are significantly positively associated with Gammaproteobacteria in ZSS and 5-HT, acetylcholine, L-methionine are significantly positively associated with Lactobacillus in FZSS. In conclusion, both ZSS and FZSS can influence metabolic pathways such as amino acids, energy and lipids and regulate the structure of intestinal flora, and then play a part in treating insomnia. However, ZSS and FZSS improve the quality of sleeping by regulating different metabolic pathways and regulating gut microbiota structure. The results of this study provide an experimental basis for illustrating the action mechanism of ZSS and FZSS in treating insomnia and provide a scientific basis for clinical rational medication guidance.