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In the complex progression of fibrosis in chronic pancreatitis, pancreatic stellate cells (PSCs) emerge as central figures. These cells, initially in a dormant state characterized by the storage of vitamin A lipid droplets within the chronic pancreatitis microenvironment, undergo a profound transformation into an activated state, typified by the secretion of an abundant extracellular matrix, including α-smooth muscle actin (α-SMA). This review delves into the myriad factors that trigger PSC activation within the context of chronic pancreatitis. These factors encompass alcohol, cigarette smoke, hyperglycemia, mechanical stress, acinar cell injury, and inflammatory cells, with a focus on elucidating their underlying mechanisms. Additionally, we explore the regulatory factors that play significant roles during PSC activation, such as TGF-ß, CTGF, IL-10, PDGF, among others. The investigation into these regulatory factors and pathways involved in PSC activation holds promise in identifying potential therapeutic targets for ameliorating fibrosis in chronic pancreatitis. We provide a summary of recent research findings pertaining to the modulation of PSC activation, covering essential genes and innovative regulatory mediators designed to counteract PSC activation. We anticipate that this research will stimulate further insights into PSC activation and the mechanisms of pancreatic fibrosis, ultimately leading to the discovery of groundbreaking therapies targeting cellular and molecular responses within these processes.

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Constrained spherical deconvolution can quantify white matter fiber orientation distribution information from diffusion magnetic resonance imaging data. But this method is only applicable to single shell diffusion magnetic resonance imaging data and will provide wrong fiber orientation information in white matter tissue which contains isotropic diffusion signals. To solve these problems, this paper proposes a constrained spherical deconvolution method based on multi-model response function. Multi-shell data can improve the stability of fiber orientation, and multi-model response function can attenuate isotropic diffusion signals in white matter, providing more accurate fiber orientation information. Synthetic data and real brain data from public database were used to verify the effectiveness of this algorithm. The results demonstrate that the proposed algorithm can attenuate isotropic diffusion signals in white matter and overcome the influence of partial volume effect on fiber direction estimation, thus estimate fiber direction more accurately. The reconstructed fiber direction distribution is stable, the false peaks are less, and the recognition ability of cross fiber is stronger, which lays a foundation for the further research of fiber bundle tracking technology.

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To investigate primary metabolites of alpha-tocopherol in human urine, the urine samples of five healthy volunteers after oral administration of 250 mg vitamin E once a day for seven days were collected within 0 -6 h in the seventh day. The samples were purified through C18 solid-phase extraction cartridge and analyzed by liquid chromatography-tandem mass spectrometry. alpha-Tocopheronic acid, 2,5,7, 8-tetramethyl-2-(2'-carboxyethyl) -6-suphate-chroman (alpha-CEHC-sulphate), gamma-tocopheronolactone, and 2, 5, 7, 8-tetramethyl-2-(4', 8', 12'-trimethyl-12'-carboxy dodecanyl) -6-suphate-chroman were found in urine of volunteers as four primary metabolites of alpha-tocopherol. The method has shown to be promising for alpha-tocopherol detection with many desirable properties including high sensitivity and selectivity, thus providing a reliable pathway for further study in metabolism of alpha-tocopherol.

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A high performance liquid chromatographic method with fluorescence detection for the determination of chloramphenicol (CAP) residues in milk was developed. Although CAP itself is non-fluorescent the aromatic nitro group of CAP could be reduced to aromatic primary amino group and fluorescamine can be used as a selective reagent for primary amines. Therefore, the CAP was derivatized with fluorescamine prior to injection in this project. The HPLC method was performed on a Diamond C18 column (250 mm x 4.6 mm i. d., 4.0 microm) with the mobile phase composed of sodium acetate buffer (0.02 mol/L, pH 6.0) -acetonitrile-tetrahydrofuran (76: 16: 8, v/v/v). The flow rate of the mobile phase was set at 1.0 mL/min, and the column was maintained at 40 degrees C. Analytes were detected by a fluorescence detector at 410 nm excitation and 508 nm emission wavelength. The standard curve was linear in the range from 0.4 microg/L to 800 microg/L. The limit of detection (LOD) was 0.2 microg/L, and the limit of quantitation (LOQ) was 0.4 microg/L. Overall recoveries were between 66.6% and 92.8% with relative standard deviations between 4.5% and 9.4%. The procedure provides a rapid, reliable and sensitive method for the determination of CAP in milk.

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