Objective Using circRNA detection technology to explore the feasibility of the application of circRNA molecules in the identification of body fluids. Methods Prepare three kinds of body fluid samples: semen, saliva and vaginal secretions. Total RNA was extracted from Qiagen RNeasy Micro kit and digested by RNase R to obtain circRNA. Reverse transcription PCR amplification and agarose gel electrophoresis analysis were performed to detect target products. Results CircRNA can be detected in all prepared samples. These results showed that the circRNA was widely present in common body fluids of forensic medicine, and had some application value. Conclusion The detection for circRNA can be compatible with the existing DNA detection technology, and its tissue specificity can be used as a new marker for identification of body fluid and has important research value.

Objective:To explore the expression and clinical significance of immunosuppressive receptor T cell immunoglobulin and immunoreceptor tyrosine-based inhibitory motif domain (TIGIT) on the peripheral blood mononuclear cells (PBMC) in silicosis patients with Mycobacterium tuberculosis infection. Methods:August 2018, a total of 78 patients with silicosis (all were quarry workers in Sanmen County, Zhejiang Province) were enrolled and divided into silicosis combined with active pulmonary tuberculosis group (APTB group), silicosis combined with latent tuberculosis infection group (LTBI group), and simple silicosis with non-tuberculosis infection group (non-TB group). Flow cytometry was used to analyze the expressions of TIGIT, programmed death-1 (PD-1) and transcription factor T-bet on PBMC from patients. Mann-Whitney U test and Pearson correlations analysis were used for statistical analysis. Results:Among the 78 patients, eight were in the APTB group, 24 in the LTBI group, and 46 in the non-TB group. The expressions of PD-1 and TIGIT on CD8 + T cells in the APTB group (29.45%(16.78%) and 65.40%(12.12%), respectively) were significantly higher than those in the LTBI group (17.40%(11.17%) and 48.30%(28.75%), respectively; U=23.500 and 43.500, respectively, P=0.000 8 and 0.020 5, respectively) and non-TB group (15.95%(12.46%) and 45.30%(19.75%), respectively; U=64.000 and 69.000, respectively, P=0.002 3 and 0.003 8, respectively), and the differences were all statistically significant. The expression of TIGIT was positively correlated with PD-1 on CD8 + T cells in silicosis patients ( r=0.434 3, P<0.01). The proportion of PD-1 + TIGIT + CD8 + T cells in the APTB group (19.90%(22.67%)) was significantly higher than those in the non-TB group (11.55%(11.29%), U=76.500, P=0.007 1) and LTBI group (11.55%(10.53%), U=41.000, P=0.015 4), while the proportion of PD-1 -TIGIT -CD8 + T cells in the APTB group (30.60%(12.90%)) was significantly lower than non-TB group (48.90%(18.98%), U=58.000, P=0.001 3) and LTBI group (47.20%(24.59%), U=41.000, P=0.015 4). The differences were all statistically significant. The expression of T-bet on the peripheral blood CD8 + T cells in the APTB group (29.45%(16.78%)) was higher than that in the non-TB group (15.95%(12.46%)) and the LTBI group (17.40%(11.17%)), and the differences were both statistically significant ( U=46.500 and 46.000, respectively, P=0.000 3 and 0.028 3, respectively). The expression of T-bet on CD8 + T cells was positively correlated with TIGIT on CD8 + T cells ( r=0.456 7, P<0.01). The expression of T-bet on PD-1 + TIGIT + CD8 + T cells in the APTB group (65.40%(12.12%)) was higher than those in the LTBI group (48.30%(28.75%), U=23.500, P=0.000 8) and non-TB group (45.30%(19.75%), U=65.000, P=0.002 6), and the differences were both statistically significant. Conclusion:The immunosuppressive receptor PD-1 and TIGIT are highly expressed on CD8 + T cells in silicosis patients with active pulmonary tuberculosis, which indicates CD8 + T cells exhaustion in these population, while the highly co-expression of T-bet suggests the exhausted subsets may have reversed potentiality.

Objective Construct a mRNA multiplex amplification system to identify different types of semen stains. Methods First, collect normal, oligozoospermia and azoospermia semen samples to make semen stains. Second, extract total RNA with Qiagen RNeasy Micro Kit. Then use reverse transcript PCR to amplify goal mRNA markers: 2 markers for sperm(PRM1, PRM2), 2 markers for seminal plasma(TGM4, SEMG1) and 2 housekeeping genes(TEF, UCE). Results All semen mRNA markers can be detected in normal semen samples. The RFU of sperm mRNA markers are lower in oligozoospermia semen samples than that in normal controls. No sperm mRNA markers can be detected in the azoospermia semen samples, only seminal plasma specific can be detected. Conclusion The differentiation of normal and azoospermia semen can be achieved by using multiplex mRNA fluorescence amplification system. While normal semen and oligozoospermia semen compared to no statistical difference.

Objective:To explore the value of the nursing intervention based on interaction model of Cox health behavior in patients with chronic rhinosinusitis with nasal polyps (CRSwNP) with olfactory disorders, so as to provide reference for clinical caregivers to improve the olfactory function and quality of life of such patients and reduce negative emotions.Methods:This study was a prospective, randomized, single blind controlled trial. A convenient sampling method was used to select 50 patients with olfactory disorders of CRSwNP who were hospitalized in the Department of Otolaryngology, Second Affiliated Hospital of Kunming Medical University from February 2022 to August 2022 as the study population. According to the random number table method, 25 patients in each group were divided into a test group and a control group. The control group was given conventional perioperative nursing measures, while the test group was given nursing intervention based on interaction model of Cox health behavior. Patients in the two groups were recorded and compared in terms of olfactory function, anxiety and depression, and quality of life scores before and after the intervention. Patient satisfaction scores at the time of discharge were also compared between the two groups.Results:Finally, 24 cases were included in the control group and 23 cases in the test group. The comparison of olfactory perception threshold, recognition threshold score, anxiety-depression score and quality of life score between the two groups before the intervention was not statistically significant ( P>0.05) and was comparable. The perceptual domain scores were (-0.18 ± 1.89), (-1.30 ± 1.06) points in the test group at 2 weeks and 1 month after the intervention, respectively, which were lower than the (0.92 ± 1.65), (-0.29 ± 1.40) points in the control group. The differences were statistically significant ( t=2.09, 2.72, both P<0.05). The recognition threshold returned to its normal value (0.38 ± 1.67) points in the test group 1 month after the intervention, with a lower score than the control group′s (1.46 ± 1.77) points. The difference was statistically significant ( t=2.10, P<0.05). After the intervention, the anxiety, depression and quality of life scores in the test group were (31.93 ± 3.55), (32.31 ± 5.80), (31.30 ± 6.00) points respectively, which were lower than the (35.10 ± 5.46), (36.84 ± 6.98), (38.53 ± 9.27) points in the control group. The differences were statistically significant ( t=2.30, 2.36, 3.09, all P<0.05). In addition, the patient satisfaction score was higher in the trial group (49.31 ± 3.95) points than in the control group (44.30 ± 2.60) points, with a statistically significant difference ( t=-5.05, P<0.05). Conclusions:The nursing intervention based on interaction model of Cox health behavior can effectively improve the patients' olfactory function and quality of life, reduce the level of anxiety and depression, and improve the patients' satisfaction.