JOURNAL/nrgr/04.03/01300535-202506000-00026/figure1/v/2024-08-08T040853Z/r/image-tiff Spinal cord injury typically causes corticospinal tract disruption. Although the disrupted corticospinal tract can self-regenerate to a certain degree, the underlying mechanism of this process is still unclear. N6-methyladenosine (m6A) modifications are the most common form of epigenetic regulation at the RNA level and play an essential role in biological processes. However, whether m6A modifications participate in corticospinal tract regeneration after spinal cord injury remains unknown. We found that expression of methyltransferase 14 protein (METTL14) in the locomotor cortex was high after spinal cord injury and accompanied by elevated m6A levels. Knockdown of Mettl14 in the locomotor cortex was not favorable for corticospinal tract regeneration and neurological recovery after spinal cord injury. Through bioinformatics analysis and methylated RNA immunoprecipitation-quantitative polymerase chain reaction, we found that METTL14 regulated Trib2 expression in an m6A-regulated manner, thereby activating the mitogen-activated protein kinase pathway and promoting corticospinal tract regeneration. Finally, we administered syringin, a stabilizer of METTL14, using molecular docking. Results confirmed that syringin can promote corticospinal tract regeneration and facilitate neurological recovery by stabilizing METTL14. Findings from this study reveal that m6A modification is involved in the regulation of corticospinal tract regeneration after spinal cord injury.

2025-05-01·JOURNAL OF PHARMACEUTICAL AND BIOMEDICAL ANALYSIS

Rapid and accurate metabolite identification of traditional Chinese medicine based on UPLC-Q-TOF-MS coupled with UNIFI analysis platform and quantitative structure-retention relationship: Danshen-Honghua herbal pair as an example

Article

作者: Jin, Weifeng ; Li, Chang ; Wan, Haitong ; Chen, Zhaoyu ; He, Yu ; Lin, Ziyi ; Wan, Haofang

In recent years, metabolite identification of chemical constituents of traditional Chinese medicine (TCM) has been extensively studied. However, due to the intricacy of metabolic processes and the low concentration of metabolites, identifying metabolites of TCM in vivo is still a tough work. Meanwhile, credibility of metabolite identification through mass spectrum technology has been called into question by reason of the lack of metabolite standards. In this study, ultra-high-performance liquid chromatography coupled with quadrupole time-of-flight tandem mass spectrometry (UPLC-Q-TOF-MS) was used to detect biological samples including plasma, feces, urine, liver, kidney, brain of normal and middle cerebral artery occlusion (MCAO) rats orally administrated water extract of Danshen-Honghua herbal pair (DHHP). An analysis strategy which combined MS data analysis platform UNIFI with quantitative structure-retention relationship (QSRR) model was established. First, metabolites of DHHP were identified rapidly by utilizing UNIFI analysis platform to analyze acquired MS data. Then, quantitative structure-retention relationships model was built through BP neural network optimized by the ant colony algorithm. Finally, predicted retention times of identified metabolites were produced by QSRR model. Metabolites identified by UNIFI whose difference between predicted and experimental retention time was beyond 1 min were considered false positive and excluded to improve the credibility of identification. According to the established analysis strategy, 26 prototypes and 16 metabolites were identified. Established MS data analysis strategy which combined UNIFI analysis platform with QSRR model was proven to be a creditable method to identify the in vivo metabolites of TCM rapidly and accurately.

2025-03-01·CHEMISTRY & BIODIVERSITY

Anti‐Inflammatory Activities of New Compounds Isolated from the Fruits of Foeniculum Vulgare Mill

Article

作者: Dong, Fa‐Wu ; Chen, Zhang‐Xian ; Zhang, Yun‐Tao ; He, Hong‐Ping ; Deng, Mao‐Xin ; Wang, Hai‐Ming ; Dong, Wei‐Mao

Abstract:

Forty‐nine compounds, including six previously unknown together with forty‐three known ones, were isolated from the fruits of Foeniculum vulgare Mill. Their structures were elucidated using high‐resolution electrospray ionization mass spectrometry (HR‐ESI‐MS), infrared spectroscopy (IR), ultraviolet‐visible spectroscopy (UV), nuclear magnetic resonance (NMR), and electronic circular dichroism (ECD) methods. All isolates were evaluated their anti‐inflammatory activity. The results indicated that compounds 1 and 6 inhibit lipopolysaccharide (LPS)‐induced nitric oxide production in RAW 264.7 macrophages with IC50 values of 41.77±1.80, 46.72±1.75 μmol/L, respectively. Moreover, the potential targets of the four active ingredients were explored through network pharmacology, revealing that SRC, TP53, AKT1, and PIK3CA may serve as key anti‐inflammatory targets. Additionally, the anti‐inflammatory activities of compounds 1–6 were first observed in this experiment.

100 项与 Eleutheroside B(Changchun University of Chinese Medicine) 相关的药物交易

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