Aim To investigate the effect and mecha-nism of valproic acid on neuroglobin expression, and the neuroprotective role of valproic acid against H2 O2-induced neurotoxicity. Methods Western blot, RT-PCR and luciferase assay were used to detect the pro-tein levels, mRNA levels and promoter activity of mouse and human neuroglobin induced by valproic acid. Luciferase assay was used to investigate the role of transcription factor CREB in the up-regulation of neuroglobin by valproic acid. MTT assay was used to evaluate the effect of valproic acid against H2 O2-in-duced neurotoxicity. Results VPA treatment marked-ly increased the protein levels, mRNA levels and pro-moter activity of Ngb in mouse N2 a cells and human SKNSH cells. CREB specific inhibitor KG501 or CREB dominant negative mutant KCREB attenuated VPA-induced Ngb promoter activity. VPA could pro-tect N2a cells from H2 O2-induced neurotoxicity. Con-clusion CREB mediates VPA-induced Ngb up-regula-tion, which may contribute to the neuroprotective effects of VPA in oxidative stress in neurons.

Traditional Chinese medicines (TCMs) possess a rich historical background, unique theoretical framework, remarkable therapeutic efficacy, and abundant resources. However, the modernization and internationalization of TCMs have faced significant obstacles due to their diverse ingredients and unknown mechanisms. To gain deeper insights into the phytochemicals and ensure the quality control of TCMs, there is an urgent need to enhance analytical techniques. Currently, two-dimensional (2D) chromatography, which incorporates two independent separation mechanisms, demonstrates superior separation capabilities compared to the traditional one-dimensional (1D) separation system when analyzing TCMs samples. Over the past decade, new techniques have been continuously developed to gain actionable insights from complex samples. This review presents the recent advancements in the application of multidimensional chromatography for the quality evaluation of TCMs, encompassing 2D-gas chromatography (GC), 2D-liquid chromatography (LC), as well as emerging three-dimensional (3D)-GC, 3D-LC, and their associated data-processing approaches. These studies highlight the promising potential of multidimensional chromatographic separation for future phytochemical analysis. Nevertheless, the increased separation capability has resulted in higher-order data sets and greater demands for data-processing tools. Considering that multidimensional chromatography is still a relatively nascent research field, further hardware enhancements and the implementation of chemometric methods are necessary to foster its robust development.