Since the fecal bacteria transplantation (FMT) had been exist for a long time, it attracted more attention in recent years because this therapy could adjust the bacteria disturbance rapidly in clinical settings. Recent studies demonstrated that fecal microbiota transplantation (FMT) has great clinical value in the treatment of Clostridium difficile infection, inflammatory bowel disease, Intractable functional constipation and other diseases. But the FMT is not as perfect as we expect, so we did this article to review the history and terminology of FMT, and summarized the progress in nursing methods of FMT.

Objective To investigate the risk factors of hypogonadism in male type 2 diabetic patients.Methods A total of 213 male patients with type 2 diabetes were enrolled and divided into low testosterone group (n=75) and normal testosterone group (n=138). Blood pressure, blood glucose, blood lipids, serum insulin and sex hormones including total testosterone (TT), sex hormone binding globulin (SHBG), progesterone, prolactin, estradiol, luteinizing hormone (LH), follicle-stimulating hormone (FSH), dehydroepiandrosterone (DHEA) were measured in all patients.The correlations between the metabolic index and sex hormone levels were analyzed.Results Compared with normal testosterone group, body mass index (BMI), fasting insulin (FINS), and homeostasis model assessment insulin resistance (HOMA-IR) levels were significantly increased in low testosterone group(all P<0.05)while LH, FSH, and SHBG levels were significantly decreased(all P<0.05).Pearson correlation analysis showed that TT was negatively correlated with FINS and HOMA-IR(r=-0.142,-0.154, both P<0.05)while positively correlated with LH and FSH (r=0.157, 0.138, both P<0.05).TT level in patients with metabolic syndrome(MS) was significantly decreased (P<0.05).A multiple logistic regression analysis revealed that BMI, MS, HOMA-IR, and LH were significant independent risk factors for hypogonadism.Conclusions Hypogonadism often occurs in male patients with type 2 diabetes,especially in patients with MS.BMI, HOMA-IR, LH, and MS are risk factors for hypogonadism in male type 2 diabetic patients.

Objective:To establish the method for the determination of emodin and danshensu Pinggan oral liquid. Methods:The contents were determined by HPLC. The chromatographic conditions for emodin were as follows: an Agilent Eclipse XDB-C18 column (150 mm × 4. 6 mm, 5μm) was used and the mobile phase was methanol-water (80 ∶20). The detection wavelength was 287 nm and the flow rate was 1. 0 ml·min-1 . The column temperature was 25℃ and the injection volume was 20 μl. The chromatographic condi-tions for Danshensu were as follows:an Agilent Eclipse SB-C18 column (150 mm × 4. 6 mm, 5 μm) was used and the mobile phase was methanol-1% acetic acid solution (2 ∶98). The detection wavelength was 280 nm and the flow was 1. 0 ml·min-1. The column temperature was 30℃ and the injection volume was 20 μl. Results:Emodin had a good linear relationship within the range of 26. 75-428. 00 μg·ml-1(r=0. 999 9). The average recovery was 102. 7% and RSD was 0. 76% (n=6). Sodium Danshensu had a good linear relationship within the range of 10.17-162.77 μg·ml-1(r =0.999 9). The average recovery was 100.5% and RSD was 1. 47% (n=6). Conclusion:The method is simple, accurate and reproducible, which can be used for the quality control of the prep-aration.

Objective: To analyze the institutional and regional differences in influenza vaccination for teachers and students, so as to provide a basis for influenza prevention and control in campus. Methods: Influenza vaccination data for teachers and students in Shandong Province from 2015 to 2024 were collected from Immunization Information Systems. Joinpoint regression models were used to calculate the annual percent change (APC) and average annual percent change (AAPC) in first-dose vaccination rates. Results: The vaccination coverages for the first dose of influenza vaccine among teachers in Shandong Province from 2015 to 2024 were 0.01%, 0.02%, 0.15%, 0.29%, 0.60%, 2.06%, 1.64%, 2.27%, 3.00%, and 2.43%, with a turning point in 2020. For preschools, primary/secondary schools, and higher education institutions, APCs during 2015-2020 were 163.36%, 162.09%, and 174.94%, respectively( P <0.01), declining to 9.53%, 9.92%, and 8.14% during 2020-2024( P >0.05). Corresponding AAPCs were 78.32%, 78.13%, and 81.61%( P <0.01). High, middle, and low GDP regions exhibited APCs of 173.84%, 162.75%, and 136.67% during 2015-2020( P <0.01) and 5.77%, 13.92%, and 11.86% during 2020-2024( P >0.05), with AAPCs of 79.42%, 81.23% , and 69.63%( P <0.01), respectively. Among students, vaccination coverage ranged from 1.59% to 7.20%. Preschool students showed no turning points, with an AAPC of 18.73%( P <0.01). Primary/secondary students had turning points in 2018 and 2022, APCs were -32.59% during 2015-2018( P <0.01), 48.45% during 2018-2022( P <0.01), and -26.25% during 2022-2024( P =0.04), yielding an AAPC of -2.32%( P =0.45). Higher education students had a turning point in 2020, with APCs of 63.27% during 2015-2020( P <0.01) and 4.31% during 2020-2024 ( P =0.77), and the AAPC was 33.79% during 2015-2024 ( P <0.01). High, middle, and low GDP regions for students showed no turning points, with AAPCs of 10.46%( P =0.18), 13.67%( P =0.01), and 10.42%( P = 0.05 ), respectively. Conclusions The influenza vaccination rate among teachers and students in Shandong Province has shown an upward trend from 2015 to 2024, but the overall level is still relatively low. However, continued efforts are needed to enhance health education on influenza and vaccination, to further improve the vaccination rate of teachers and students.

Objective:To observe the effect of isorhmnetin on the ER/TGF-β1/Smad3 signaling pathways in human dermal fibroblasts (HSF) damaged by UVA.Methods:HSF were divided into control group, model group, estradiol group, isorhmnetin groups with 100, 10, 1, 0.1, 0.01, 0.001 μmol/L by random number table method, and cell photoaging models were established in all groups excepting the control group. After the intervention with corresponding drugs, cell proliferation rates were detected with MTT method, and the effective concentration of isorhmnetin was screened. Then the cells were divided into control group, model group, estradiol group, isorhmnetin group, TGF-β1 blocker group, Samd3 blocker group, and COL1A1 blocker group. Cell photoaging models were established in all groups excepting the control group. After intervened with corresponding drugs, the TGF-β1, Smad3, Ⅰ collagen α1 (collagen, type Ⅰ, alpha 1, COL1A1) mRNA and protein expression in all groups were detected by the real-time quantitative PCR and the Wester blot method.Results:The proliferation rate of isor administration group were increased than those in the control group ( P<0.01). Compared to the UVA irradiation group, the expression of TGF-β1 mRNA (0.956 ± 0.020 vs. 0.718 ± 0.036), Smad3 mRNA (0.981 ± 0.044 vs. 0.753 ± 0.047), COL1A1 mRNA (0.998 ± 0.032 vs. 0.786 ± 0.031), TGF-β1 protion (0.761 ± 0.026 vs. 0.542 ± 0.023), Smad3 protion (0.776 ± 0.016 vs. 0.551 ± 0.025), COL1A1 protion (0.792 ± 0.025 vs. 0.584 ± 0.012) in isor administration group significantly increased ( P<0.01). Compared to the isor administration group, the TGF-β1 mRNA (0.762 ± 0.051, 0.802 ± 0.012, 0.828 ± 0.030 vs. 0.967 ± 0.026), Smad3 mRNA (0.784 ± 0.027, 0.816 ± 0.015, 0.830 ± 0.032 vs. 0.998 ± 0.021), COL1A1 mRNA (1.082 ± 0.025, 1.101 ± 0.012, 1.138 ± 0.011 vs. 1.263 ± 0.022), TGF-β1 protion (0.675 ± 0.028, 0.682 ± 0.026, 0.722 ± 0.015 vs. 0.862 ± 0.014), Smad3 protion (0.712 ± 0.013, 0.764 ± 0.012, 0.778 ± 0.011 vs. 0.901 ± 0.015), COL1A1 protion (0.738 ± 0.016, 0.770 ± 0.038, 0.792 ± 0.026 vs. 0.964 ± 0.017) in the TGF-β1 blocker group, Smad3 blocker group and COL1A1 blocker group significantly decreased ( P<0.01). Conclusions:Isorhmnetin can promote the collagen synthesis of photo aging HSF cells, and its mechanism is related to the regulation of ERβ/TGF-β1 signaling pathway.

Objective:To establish and apply the intervention model of professional attitude for nursing undergraduates in universities of Traditional Chinese Medicine (TCM), and to explore its effect on the professional attitude of the nursing undergraduates.Methods:The study started in August 2018 included two steps. The first step was to develop intervention model of professional attitude for nursing undergraduates in universities of TCM based on the three-stage theory of Kelman ′s attitude formation and with Delphi method. After two rounds of expert consultation, the intervention model of professional attitude for nursing undergraduates in universities of TCM was finally formed, including three intervention stages, a total of 41 intervention measurements. The second step was to use the historical control research method. Grade 2016 nursing undergraduate (the year 2016—2020) in Beijing University of Chinese Medicine was taken as the experimental group ( n=86) and adopted the intervention model. Grade 2012 nursing undergraduate (the year 2012—2016) in the same university was taken as the control group ( n=56) and did not adopted the intervention model during their university study. The two groups were continuously evaluated by "Scale for Nurse ′s Professional Attitude" during their four years in the university. The measurement time was within one week of admission and the 16th week of the second semester of each academic year, with a total of 5 times of measurement. Results:Repeated measurement design showed that the scores of Scale for Nurse′s Professional Attitude of the two groups changed with time. At the end of the first year, the score of the scale in the experimental group was (6.06±0.95) points, higher than (5.41±1.08) points of the control group ( t value was 3.765, P<0.001). There was no difference between the two groups at other time points ( P>0.05). Conclusions:The intervention model of professional attitude for nursing undergraduates in universities of TCM has good operability and can improve the professional attitude of nursing undergraduates in universities of TCM during their freshman year. The intervention model needs to be further adjusted to improve the professional attitude in the subsequent learning stage.

Objective To explore the feasibility and efficacy of endoscopic balloon dilation in treatment of esophageal stenosis caused by operation of congenital esophageal atresia. Methods A retrospective analysis was performed on data of 218 children with type Ⅲ esophageal atresia, who underwent surgery in Zhengzhou Children' s Hospital from January 2009 to December 2017. The occurrence of postoperative complications and efficacy of endoscopic balloon dilation in treatment of esophageal stenosis was analyzed. Results Among the 218 patients with congenital esophageal atresia, 92 were type Ⅲa and 126 were type Ⅲb. Postoperative anastomotic leakage occurred in 46 cases (21. 1％), including 29 (31. 5％) of type Ⅲa and 17 (13. 5％) of type Ⅲb. Postoperative anastomotic stenosis occurred in 53 cases (24. 3％), including 29 ( 31. 5％) of type Ⅲa and 24 ( 19. 0％) of typeⅢb. The incidence of anastomotic leakage and anastomotic stenosis in different types was significantly different (χ2=10. 383, P=0. 001; χ2=4. 497, P=0. 034). The 53 cases of anastomotic stenosis underwent 123 times of endoscopic balloon dilation, with mean time of 3. 5±1. 6, and were finally clinically recovery. No esophagus perforation occurred. Among them, 29 cases of type Ⅲa underwent 73 times with mean of 4. 0±1. 8, and 24 cases of type Ⅲb underwent 50 times with mean of 2. 5±0. 7. The difference between the two types was statistically significant (t=-4. 053, P=0. 027). Conclusion Children with type Ⅲa esophageal atresia has a higher incidence of anastomotic stenosis and leakage, and more times of esophageal dilation. Endoscopic balloon dilation is safe and effective in treatment of esophageal stenosis after surgery for patients with congenital esophageal atresia.

Objective:To explore the value of thyroid radioactive iodine uptake (RAIU) on predicting the residual activity in patients with differentiated thyroid carcinoma (DTC) after administration of 131I. Methods:A total of 178 patients (63 males, 115 females, age: (39.8±11.4) years) with DTC who underwent initial treatment of 131I in Suzhou Science & Technology Town Hospital between August 2018 and April 2019 were enrolled in this retrospective study. RAIU test and thyroid imaging were performed before 131I treatment. Patients were divided into 3 groups according to the thyroid remnant showed by thyroid imaging: no remnant group, a little remnant group, and obvious remnant group. Radiation dose equivalent rates at different time points (immediately/24 h/48 h/72 h after injection of 131I) were measured to estimate the residual activity of 131I after administration. RAIU and residual activity at 72 h among different thyroid remnant groups were compared by one-way analysis of variance. Relationship between RAIU/ 131I therapeutic dose and residual activity at 72 h was analyzed by Pearson correlation analysis. The linear regression equation between RAIU and residual activity at 72 h after treatment was established. Results:The 3 h RAIU in no remnant group ( n=45), a little remnant group ( n=101), and obvious remnant group ( n=32) were (4.77±1.46)%, (5.53±1.70)% and (8.92±3.75)%, respectively ( F=39.35, P<0.01), and the 24 h RAIU was also significantly different among those 3 groups ((1.54±0.88)%, (3.41±2.55)%, (13.52±8.59)%; F=91.52, P<0.01). The residual activity at 72 h in no remnant group, a little remnant group, and obvious remnant group were (81.70±25.61), (108.24±51.58) and (283.07±133.72) MBq, respectively ( F=92.84, P<0.01). There was a significant positive correlation between RAIU and the residual activity at 72 h (3 h: r=0.753, 24 h: r=0.817, both P<0.01). The linear regression equations between RAIU at 3 h and 24 h and the residual activity at 72 h were y=28.88 x-38.42 and y=13.87 x+ 67.01, respectively. When RAIU was higher than 24.01% at 3 h or 15.18% at 24 h, the residual activity at 72 h after treatment was likely to exceed 400 MBq. There was little correlation between 131I therapeutic dose and the residual activity at 72 h after treatment ( r=0.119, P>0.05). Conclusion:RAIU can be used to predict the residual activity at 72 h after treatment in DTC patients who underwent initial 131I treatment.