Objective:This study aimed to explore the application of interaction-dependent fucosyl-biotinylation (FucoID), a chemical biology-based proximity labeling technique, in capturing tumor antigen-specific T cells and its clinical value in chronic myelogenous leukemia (CML) .Methods:Flow cytometry and fluorescence microscopy were employed to evaluate the experimental parameters for FucoID in CML. Peripheral blood samples were obtained from 14 newly diagnosed CML patients in the chronic phase. These samples underwent flow cytometry-based sorting and were subsequently labeled with FucoID to facilitate the isolation of tumor cells and T cells, followed by the immunophenotypic identification of tumor antigen-specific T cells. Finally, the diagnostic and therapeutic potential of FucoID in CML was assessed.Results:Initially, the experimental parameters for FucoID in CML were established. The proportion of CD3 + T cells in patients was (8.96±6.47) %, exhibiting a marked decrease compared with that in healthy individuals at (38.89±22.62) %. The proportion of tumor-specific antigen-reactive T cells was (3.34±4.49) %, which demonstrated interpatient variability. In addition, the proportion of tumor-specific antigen-active T cells in CD4 + T cells was (3.95±1.72) %, which was generally lower than the proportion in CD8 + T cells at (5.68±2.18) %. Compared with those in tumor-specific antigen-nonreactive T cells, CCR7 -CD45RA - effector memory T cells and CCR7 -CD45RA + effector T cells were highly enriched in tumor-specific antigen-reactive T cells. Moreover, the intensity of tumor immune reactivity in patients exhibited a significant correlation with white blood cell count (WBC) and hemoglobin (HGB) levels in peripheral blood, while no such correlation was observed with other clinical baseline characteristics. Conclusion:The combination of FucoID and flow cytometry enables the rapid identification and isolation of tumor antigen-specific T cells in CML. The successful application of this method in CML and the implications of our findings suggest its potential clinical value in the field of hematologic malignancies.

Objective: To explore the correlation between sleep and laryngopharyngeal reflux disease by epidemiological approaches. Methods: From May 1, 2017 to April 30, 2018, data of age, gender, height, weight, smoking, alcohol consumption, constipation and high fat diet in patients in Otorhinolaryngology specialist clinic, the Eighth Medical Center, General Hospital of the Chinese PLA were retrospectively analyzed. Reflux Symptom Index (RSI), Pittsburgh Sleep Quality Index (PSQI) and Hospital Anxiety and Depression Scale (HADS)were filled. According to RSI scores, patients were divided into case group and control group. The differences of the above indicators between the two groups were compared by Stata 12.0 software, and the risk factors of LPRD were analyzed by multivariate Logistic regression. Results: A total of 908 patients were enrolled, including 166 in the case group and 742 in the control group. There was no significant difference in BMI, smoking, drinking, constipation and high fat diet between the two groups (all P>0.05). The PSQI, anxiety and depression score of the case group were higher than those of the control group. The anxiety and depression scores of the patients with sleep disorders in the case group were significantly higher than those of the normal sleepers (all P<0.05). RSI of the patients with sleep disorders was higher than that of the patients with normal sleep(9.5[4.0,16.0]vs. 5.0[1.0,10.0], Z=-6.07, P<0.001). Multivariate analysis showed that sleep disorder was the risk factors of LPRD (OR=2.59, 95%CI 1.75-3.84). Conclusions Sleep disorder is related to the occurrence of LPRD. The association between LPRD and sleep disturbances is bidirectional. Sleep disorder may also be related to the anxiety and depression in LPRD patients. Handling sleep disorder timely may benefit LPRD patients.