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In this paper, based on the research background of recovering uranium from wet-process phosphoric acid(WPA) by amino phosphonate acid chelating resin, the distribution of uranium in single particle amino phosphonate chelating resin was studied. The results show that the optimal laser frequency of LA-ICP-MS is determined to be 6 Hz, the beam spot diameter is 44 μm, and the energy density is 6 J/cm2. The resin with saturated adsorption and the resin with complete elution were selected as the external standard of the adsorption and leaching process, and the homogeneity test was carried out. The relative standard deviation of uranium content in the resin with saturated adsorption and the resin with complete elution are 3.87% and 3.52%(n=9), respectively. Uniformity is good. In situ microzone analysis of uranium in amino phosphonic acid chelating resin was carried out by LA-ICP-MS. The adsorption process of uranium on the resin is gradually completed from the outside to the inside, and the leaching process is gradually completed from the outside to the inside, and the concentration of uranium inside and outside the resin is gradually uniform and unified, and finally reaches adsorption saturation and leaching complete.

In this experiment the pretreatment methods of automatic immunomagnetic bead purification and immunoaffinity chromatography purification were used to quantitatively detect aflatoxin B1 in different edible oils by ultra-high performance liquid chromatography, and the accuracy, spike recovery and detection time of the two pretreatment methods were compared. The results showed that the results of automatic immunomagnetic bead purification and immunoaffinity chromatography purification for the determination of vegetable oil standard materials were 15.59 μg/kg and 14.64 μg/kg, respectively, both of which were within the standard range. Different amounts of aflatoxin B1 standard materials were added to different kinds of edible oils, and the recovery rate of spikes was between 88%~110%, and the relative standard deviation was within 5%. The Bland-Altman method was used to analyze differences between the automatic immunomagnetic bead purification method and the immunoaffinity chromatography purification method, and the results showed that differences between the two purification methods were within the acceptable range. Both methods could meet the experimental requirements in purification and enrichment of aflatoxin B1 in edible oil and can be used instead of each other. Through the comparison of detection time, automatic immunomagnetic bead purification combined with mycotoxin automatic purification instrument pretreatment method can process multiple samples at the same time, and the average purification time of one sample is less than 3 min, indicating that the treatment time is shorter, and the experimental efficiency is higher.

Objective: To explore the difference in gut microbiota between different traditional Chinese Medicine (TCM) syndromes in patients with colorectal cancer (CRC) and its internal relationship. Methods: From June 2020 to August 2021, 109 colorectal cancer patients with a clear pathological diagnosis who had not yet undergone surgery or chemotherapy were classified according to the TCM syndrome classification, and the feces samples of 109 patients with preoperative colorectal cancer were collected. 16s rRNA gene sequencing was used to determine gut microbiota diversity and abundance in CRC patients with different TCM syndrome, and LEfSe analysis was made to screen different TCM syndrome for differential representative microbiota. Results: 109 patients were divided into 5 syndromes by TCM syndrome classification, which were Liver and Kidney Yin Deficiency Syndrome (LKYDS, n = 19), Spleen Deficient Qi Stagnation Syndrome (SDQSS, n = 30), Stasis and Poison Obstruction Syndrome (SPOS, n = 17), Damp-Heat Syndrome (DHS, n = 30), Qi and Blood Deficiency Syndrome (QBDS, n = 13). Alpha diversity index showed significant differences among the five groups of TCM syndromes, with Shannon index being highest in the SDQSS group and lowest in the LKYDS (p = 0.003). ACE index being highest in the SDQSS group and lowest in the SPOS (p = 0.010). PD whole tree index being highest in the SDQSS group and lowest in the SPOS (p = 0.017). Similarly, beta diversity showed significant differences among the five groups of TCM syndromes, with principal coordinate analysis (PCo1 = 31.86 %, PCo2 = 5.62 %) showing separation and coincidence between the groups, and Adonis group differences showing coincidence between the QBDS-LKYDS (p = 0.702), QBDS-DHS (p = 0.133), and SDQSS-DHS (p = 0.260) groups. LEfSe analysis revealed that the representative microbiota of DHS patients was Dialister sp Marseille P5638 (LDA = 3.05, p＜0.001), the representative microbiota of SPOS patients was Oscillospirales (LDA = 4.78, p = 0.029), the representative microbiota of SDQSS patients was Selenomonadaceae (LDA = 3.94, p = 0.003), the representative microbiota of LKYDS patients was Dialister (LDA = 4.19, p = 0.001), and the representative microbiota of QBDS patients was Akkermansia muciniphila (LDA = 4.23, p = 0.006). Conclusions: There are significant differences in gut microbiota between different TCM syndromes in CRC patients. The five microbiota, Dialister sp Marseille P5638, Oscillospirales, Selenomonadaceae, Dialister, and Akkermansia muciniphila, may be differential markers of TCM syndrome in CRC and are expected to be one of the bases for accurate TCM syndrome differentiation of CRC.

Objective To explore the effect of sodium hydroxide(NaOH) and rapamycin(Rapa) alone or their combination in treating Tsc2-null(Tsc2-/-) mouse embryonic fibroblasts. Methods The wild type and Tsc2-/- cells were treated with NaOH and/or Rapa and divided into 4 groups: control, NaOH group, Rapa group, and combination (Combo) group. Cell proliferation was measured by MTT assay and colony formation. Flow cytometry was used to detect the potential influence on cell cycle. The protein expression of S6, p-S6, p-4EBP1 was detected by Western blot. Results Compared to control group, Tsc2-/- cells in NaOH and Rapa groups both showed a reduced proliferation ability and colony counting (P＜0.05); additionally, only in Rapa group, the percentage of Tsc2-/- cells in G1 phase increased and the protein level of p-S6 and p-4EBP1 all decreased (P＜0.05). Compared with NaOH and Rapa groups, Tsc2-/- cells in Combo group had a further decreased in proliferation ability and colony number and an increased G1 phase percentage (P＜0.05). But the level of p-S6 and p-4EBP1 of Tsc2-/- cells in Combo group was significantly lower than those in NaOH group (P＜0.05). Conclusions NaoH(15 μmol/L) enhances the suppressing poliferation efficacy of Rapa in Tsc2-/- cells.

The role of tumor-associated macrophages (TAMs), along with the regulatory mechanisms underlying distinct macrophage activation states, remains poorly understood in prostate cancer (PCa). Herein, we report that PCa growth in mice with macrophage-specific Ubc9 deficiency is substantially suppressed compared with that in wild-type littermates, an effect partially ascribed to the augmented [CD8.sup.+] T cell response. Biochemical and molecular analyses revealed that signal transducer and activator of transcription 4 (STAT4) is a crucial UBC9-mediated SUMOylation target, with lysine residue 350 (K350) as the major modification site. Site-directed mutation of STAT4 (K350R) enhanced its nuclear translocation and stability, thereby facilitating the proinflammatory activation of macrophages. Importantly, administration of the UBC9 inhibitor 2-D08 promoted the antitumor effect of TAMs and increased the expression of PD-1 on [CD8.sup.+] T cells, supporting a synergistic antitumor efficacy once it combined with the immune checkpoint blockade therapy. Together, our results demonstrate that ablation of UBC9 could reverse the immunosuppressive phenotype of TAMs by promoting STAT4-mediated macrophage activation and macrophage [CD8.sup.+] T cell crosstalk, which provides valuable insights to halt the pathogenic process of tumorigenesis., Introduction Prostate cancer (PCa) progression is regulated by multiple cell types existing within the tumor microenvironment (TME) (1). [CD8.sup.+] T cells, the predominant tumoricidal effector population, are commonly present in [...]