Objective:To explore the protective effect and related mechanism of rebamipide on non-steroid anti-inflammatory drug (NSAID) related small intestinal mucosal injury.Methods:A total of 21 C57BL/6 mice were selected and by random number table method, they were divided into negative control group (0.9% NaCl gavage for four days), indomethacin modeling group (20 mg/kg indomethacin gavage for four days) and rebamipide intervention group (20 mg/kg indomethacin gavage for four hours and then 320 mg·kg -1·d -1 rebamipide gavage for four days), seven mice in each group. After modeling, the injury of mice intestinal mucosa of indomethacin modeling group and rebamipide intervention group was evaluated by gross observation as well as pathological analysis. The serum levels of interleukin (IL)-6, IL-10, trefoil factor 3 (TFF3), prostaglandin E2 (PGE2) and epidermal growth factor (EGF) in mice were detected by enzyme-linked immunosorbent assay (ELISA). The expression of IL-6, IL-10, TFF3, cyclooxygenase 2( COX2) and EGF at mRNA level of mice small intestinal tissues were examined by real-time quantitative polymerase chain reaction (qRT-PCR). And the relative expression of TFF3, COX2 and EGF at protein level of mice small intestinal tissues were determined by Western blotting. Levene test and independent sample t test were used for statistical analysis. Results:The scores of gross observation and histopathology of mice small intestinal mucosa injury of rebamipide intervention group were both lower than those of indomethacin modeling group (2.80±0.45 vs. 4.60±1.14, 1.67±0.52 vs. 3.00±0.71), and the differences were statistically significant ( t=2.667 and 3.618, P=0.029 and 0.006). The mouse serum level of IL-6 and the expression of IL-6 at mRNA level in intestinal tissues of indomethacin modeling group were both higher than those of the negative control group, however the serum level of IL-10 was lower than that of the negative control group ((48.83±5.40) ng/L vs. (40.96±5.92) ng/L, 5.23±2.36 vs. 1.12±0.56, (168.50±10.57) ng/L vs. (186.30±7.77) ng/L), and the differences were statistically significant ( t=2.307, 3.372 and 3.366; P=0.047, 0.007 and 0.012). The expression of IL-6 at mRNA level in mice small intestinal tissues of rebamipide intervention group was lower than that of indomethacin modeling group (1.74±0.82 vs. 5.23±2.36), however, the expression of IL-10 at mRNA level was higher than that of indomethacin modeling group (6.44±3.46 vs. 1.22±0.83), and the differences were statistically significant ( t=3.409 and 3.025, P=0.008 and 0.014). The serum levels of TFF3, PGE2 and EGF, the expression of TFF3 at mRNA level of small intestinal tissues, the relative expression of COX2 and EGF at protein level of small intestinal tissues of indomethacin modeling group were all lower than those of the negative control group ((131.20±16.37) ng/L vs. (150.30±9.66) ng/L, (32.68±6.88) ng/L vs. (41.51±3.20) ng/L, (112.70±17.17) ng/L vs. (138.20±10.10) ng/L, 0.43±0.22 vs. 1.20±0.50, 0.33±0.25 vs. 1.30±0.43, 0.28±0.19 vs. 1.15±0.10), and the differences were statistically significant ( t=2.290, 2.645, 2.867, 3.097, 3.405 and 7.106; P=0.048, 0.021, 0.025, 0.017, 0.027 and 0.002). The mice serum levels of PGE2 and EGF, expression of TFF3, COX2 and EGF at mRNA level of small intestinal tissues, as well as the expression of TFF3 and EGF at protein level of small intestinal tissues of rebamipide intervention group were all higher than those of indomethacin modeling group ((43.55±5.28) ng/L vs. (32.68±6.88) ng/L, (153.30±15.66) ng/L vs. (112.70±17.17) ng/L, 2.48±1.70 vs. 0.43±0.22, 2.95±1.56 vs. 0.88±0.45, 3.97±2.54 vs. 0.98±0.76, 1.47±0.26 vs. 0.72±0.35, 1.08±0.36 vs. 0.28±0.19), and the differences were statistically significant ( t= 2.711, 3.658, 2.656, 2.856, 2.524, 3.013 and 3.435; P=0.024, 0.008, 0.026, 0.019, 0.033, 0.039 and 0.026). Conclusions:Rebamipide alleviates small intestinal mucosal injury induced by indomethacin by inhibiting the expression of inflammatory factors and promoting the expression of intestinal mucosal protective factors suggesting that rebamipide plays a protective role in NSAID related small intestinal injury by maintaining the chemical barrier of the intestinal mucosal.

Objective To preliminarily develop a lifestyle self-assessment scale being suitable for patients with polycystic ovary syndrome (PCOS) and test its reliability and validity.Methods 98 patients with PCOS were surveyed by behavior questionnaire including somatic symptom,psychological behavior,life habits and social function.The lifestyle self-assessment scale for PCOS including 19 items was generated by factor analysis with cutting items and adjusting structure and tests of the reliability and validity.Then,40 patients with PCOS and 40healthy controls were surveyed to test the scale' discriminant validity.ResultsThe lifestyle self-assessment scale for PCOS was consisted by 19 items which generated 5 factors (each characteristic root ＞ 1,cumulative rate =56.625％ ).The Crunbach' sα was 0.626 ～ 0.826 and the intraclass correlation coefficient was 0.709 ～0.822.There were significant differences in three factors containing exercise consciousness,physique cognition and rhythm of life in the scale between PCOS and control group.Conclusion This scale accords with the living habits characteristics of PCOS patients and can provide guidance and basis for lifestyle intervention.

Objective: Observational studies often report disturbed sleep patterns in individuals with diabetic nephropathy (DN). The possible causal relationship behind these connections remains unknown. This research assessed the possible cause-and-effect relationship between eleven sleep-related characteristics and the risk of developing DN using a two-sample Mendelian randomization (MR) study. Methods: This study employed a two-sample bidirectional MR analytical approach. Genetic data for eleven sleep-related characteristics were acquired from the genome-wide association studies (GWAS) database of individuals of European ancestry which involve scanning complete sets of DNA, or genomes. GWAS summary data for DN included 4,111 DN cases and 308,539 controls. Instrumental variables were single nucleotide polymorphisms strongly linked to sleep-related characteristics. The main analysis used the random-effects inverse variance weighted (IVW) approach, with validation through sensitivity testing. Results: MR analysis revealed that a higher genetic predisposition for sleep efficiency reduced the chance of developing DN (odds ratio [OR]: 0.384; 95% confidence interval [CI] 0.205–0.717; p=0.003). Genetic susceptibility to DN was associated with a higher likelihood of experiencing more sleep episodes (OR: 1.015; 95% CI 1.003–1.028; p=0.016). Sensitivity analysis confirmed the robustness of these correlations. No significant connections were found between other genetically predicted sleep characteristics and the likelihood of developing DN. Conclusion Our research indicates that a genetic predisposition for better sleep efficiency is linked to a lower risk of developing DN. There is also evidence suggesting that genetic predisposition to DN may directly impact sleep episodes. Further research is needed to explore the molecular mechanisms underlying these findings.

Objective: Observational studies often report disturbed sleep patterns in individuals with diabetic nephropathy (DN). The possible causal relationship behind these connections remains unknown. This research assessed the possible cause-and-effect relationship between eleven sleep-related characteristics and the risk of developing DN using a two-sample Mendelian randomization (MR) study. Methods: This study employed a two-sample bidirectional MR analytical approach. Genetic data for eleven sleep-related characteristics were acquired from the genome-wide association studies (GWAS) database of individuals of European ancestry which involve scanning complete sets of DNA, or genomes. GWAS summary data for DN included 4,111 DN cases and 308,539 controls. Instrumental variables were single nucleotide polymorphisms strongly linked to sleep-related characteristics. The main analysis used the random-effects inverse variance weighted (IVW) approach, with validation through sensitivity testing. Results: MR analysis revealed that a higher genetic predisposition for sleep efficiency reduced the chance of developing DN (odds ratio [OR]: 0.384; 95% confidence interval [CI] 0.205–0.717; p=0.003). Genetic susceptibility to DN was associated with a higher likelihood of experiencing more sleep episodes (OR: 1.015; 95% CI 1.003–1.028; p=0.016). Sensitivity analysis confirmed the robustness of these correlations. No significant connections were found between other genetically predicted sleep characteristics and the likelihood of developing DN. Conclusion Our research indicates that a genetic predisposition for better sleep efficiency is linked to a lower risk of developing DN. There is also evidence suggesting that genetic predisposition to DN may directly impact sleep episodes. Further research is needed to explore the molecular mechanisms underlying these findings.

Objective: Observational studies often report disturbed sleep patterns in individuals with diabetic nephropathy (DN). The possible causal relationship behind these connections remains unknown. This research assessed the possible cause-and-effect relationship between eleven sleep-related characteristics and the risk of developing DN using a two-sample Mendelian randomization (MR) study. Methods: This study employed a two-sample bidirectional MR analytical approach. Genetic data for eleven sleep-related characteristics were acquired from the genome-wide association studies (GWAS) database of individuals of European ancestry which involve scanning complete sets of DNA, or genomes. GWAS summary data for DN included 4,111 DN cases and 308,539 controls. Instrumental variables were single nucleotide polymorphisms strongly linked to sleep-related characteristics. The main analysis used the random-effects inverse variance weighted (IVW) approach, with validation through sensitivity testing. Results: MR analysis revealed that a higher genetic predisposition for sleep efficiency reduced the chance of developing DN (odds ratio [OR]: 0.384; 95% confidence interval [CI] 0.205–0.717; p=0.003). Genetic susceptibility to DN was associated with a higher likelihood of experiencing more sleep episodes (OR: 1.015; 95% CI 1.003–1.028; p=0.016). Sensitivity analysis confirmed the robustness of these correlations. No significant connections were found between other genetically predicted sleep characteristics and the likelihood of developing DN. Conclusion Our research indicates that a genetic predisposition for better sleep efficiency is linked to a lower risk of developing DN. There is also evidence suggesting that genetic predisposition to DN may directly impact sleep episodes. Further research is needed to explore the molecular mechanisms underlying these findings.

Objective: Observational studies often report disturbed sleep patterns in individuals with diabetic nephropathy (DN). The possible causal relationship behind these connections remains unknown. This research assessed the possible cause-and-effect relationship between eleven sleep-related characteristics and the risk of developing DN using a two-sample Mendelian randomization (MR) study. Methods: This study employed a two-sample bidirectional MR analytical approach. Genetic data for eleven sleep-related characteristics were acquired from the genome-wide association studies (GWAS) database of individuals of European ancestry which involve scanning complete sets of DNA, or genomes. GWAS summary data for DN included 4,111 DN cases and 308,539 controls. Instrumental variables were single nucleotide polymorphisms strongly linked to sleep-related characteristics. The main analysis used the random-effects inverse variance weighted (IVW) approach, with validation through sensitivity testing. Results: MR analysis revealed that a higher genetic predisposition for sleep efficiency reduced the chance of developing DN (odds ratio [OR]: 0.384; 95% confidence interval [CI] 0.205–0.717; p=0.003). Genetic susceptibility to DN was associated with a higher likelihood of experiencing more sleep episodes (OR: 1.015; 95% CI 1.003–1.028; p=0.016). Sensitivity analysis confirmed the robustness of these correlations. No significant connections were found between other genetically predicted sleep characteristics and the likelihood of developing DN. Conclusion Our research indicates that a genetic predisposition for better sleep efficiency is linked to a lower risk of developing DN. There is also evidence suggesting that genetic predisposition to DN may directly impact sleep episodes. Further research is needed to explore the molecular mechanisms underlying these findings.

Objective To improve the knowledge and early diagnostic rate of primary small intestinal tumor.Methods From August 2012 to August 2017,hospitalized patients with pathological diagnosis of primary small intestinal tumor (excluding duodenal neoplasm) from Peking Union Medical College Hospital were retrospectively enrolled.The data of clinical manifestations,laboratory examinations,imaging,endoscopy examination,pathological findings and treatment were collected and analyzed.Results A total of 180 patients with primary small intestinal tumor were enrolled.The common clinical manifestations included abdominal pain (76 cases,42.2 ％),gastrointestinal bleeding (64 cases,35.6％),and abdominal distension (30 cases,16.7％),and 22 (12.2％) patients had no overt clinical symptoms.The sensitivity of carbohydrate antigen 19-9 (CA19-9) in the diagnosis of small bowel adenocarcinoma was 57.1％ (12/21).The diagnostic rates of computed tomography enterodysis (CTE),positron-emission computed tomography (PET)/computed tomography (CT),and abdominopelvic enhanced CT were 96.5％ (83/86),100.0％ (29/29),and 91.5％ (43/47),respectively.The diagnostic small intestinal tumor patients of barium radiography (14 cases),abdominopelvic magnetic resonance imaging (MRI) (eight cases),small bowel endoscopy (18 cases) and capsule endoscopy (eight cases) were seven,six,fifteen and six cases,respectively.Among 180 patients,14 (7.8％) patients were considered gynecological tumors by imaging examination before surgery,seven (3.9％) patients underwent emergency operation because of intestinal obstruction,four (2.2％) patients underwent emergency surgery due to gastrointestinal bleeding,and four (2.2％) patients underwent emergency surgery because of intestinal perforation.Histopathological type included gastrointestinal stromal tumor (117 cases,65.0％),lymphoma (25 cases,13.9％) and adenocarcinomas (21 cases,11.7％).Except seven patients with intestinal lymphoma who received chemotherapy,the rest 173 patients underwent surgical resection.Conclusions Primary small bowel tumor has no specific clinical manifestations.It should be alert on patients without positive findings by regular gastroendoscopy and colonendoscopy examination but with symptoms of abdominal pain,gastrointestinal bleeding and intestinal obstruction.CTE should be the first choice for patients with symptoms but unclear diagnosis.

Purpose: This study attempted to detect the changes of cervical cancer screening rate and willingness among female migrants, and the associated socio-demographic factors in Shenzhen city. Materials and Methods: Two citywide surveys were conducted using a multistage random cluster sampling method in 2011 and 2014, respectively. Data on demographic characteristics, screening participation, and willingness to screen were collected. Logistic regression models were applied to detect possible associated socio-demographic characteristics, and their variations with survey years. Results: In total, 12,017 female migrants were enrolled, with a mean age (standard deviation) of 36.73 (6.55) years. From 2011 to 2014, the screening rate increased (25.8% vs. 35.1%, p < 0.001), while the willingness to screen remained stable (82.2% vs. 82.8%, p=0.46). Overall, socio-demographic characteristics of female migrants, including age, marital status, education, monthly income, employment, and medical insurance, were found to be positively associated with screening participation. Similar impacts in relation to willingness were observed except for age. However, these associations varied with survey years, mainly in the contributions of education and monthly income to screening participation, as well as age, monthly income, and medical insurance to willingness of being screened. Conclusion Identifying changes of associated socio-demographic factors precisely is warranted of necessity, which provides novel clues to adjust targeted actions regularly in promoting cervical cancer screening participation among female migrants in Shenzhen.

Inflammatory response is one of the key mechanisms of cerebral ischemia/reperfusion injury(CIRI),which seriously affects the prognosis of patients.In recent years,it has been found that long non-coding RNA(LncRNA)is closely related to the inflammatory response of cerebral ischemia/reperfusion injury,and can affect the development and prognosis of CIRI through multiple pathways.The article reviews and summarizes the LncRNAs and their action pathways affecting the inflammatory response in CIRI.The article preliminary explores the possible mechanisms by which LncRNAs affect CIRI,and also briefly summarizes the drugs related to LncRNA therapy.In order to provide new therapeutic targets and research ideas for the treatment of CIRI.

Objective:To explore the effects and underlying mechanisms of azintamide on gastric emptying and gastrointestinal hormone secretion in proton pump inhibitor related low gastric acid environment.Methods:A total of 60 rats were selected and randomly divided into low gastric acid control group, low gastric acid model group, low gastric acid and azintamide intervention group, high gastric acid control group, high gastric acid model group and high gastric acid and azintamide intervention group by random number table, with 10 rats in each group. The rats of low gastric acid control group and high gastric acid control group were all treated with 0.9% sodium chloride solution. The rats of low gastric acid model group and high gastric acid model group were established by intraperitoneal injection of 20 mg/kg omeprazole once per day for seven days, and subcutaneous injection of 2 mg/kg penta gastrin once per day for three days, respectively. The rats of low gastric acid and azintamide intervention group and high gastric acid and azintamide intervention group were gavaged with azintamide 50 mg/kg once per day for three days on the basis of low gastric acid model group and high gastric acid model group, respectively. Only the rats in three low gastric acid groups were analyzed. At Day 0, 2nd, 4th, 6th and 8th after modeling, the body weight of rats were compared. After modeling, the weight of gastric contents and pH of gastric fluid was measured and compared, and the peripheral blood levels of pepsinogen A (PGA), gastrin and cholecystokinin (CCK) were detected by enzyme linked immunosorbent assay. One-way analysis of variance and Tukey′s honestly significant difference post-hoc test were used for statistical analysis.Results:The pH value of gastric fluid in low gastric acid model group and low gastric acid and azintamide intervention group were both higher than that in the low gastric acid control group (2.17±0.53, 2.03±0.69 vs. 1.32±0.17), and the differences were statistically significant ( P=0.026 and 0.041, respectively). While there was no significant difference in pH value between the low gastric acid model group and low gastric acid and azintamide intervention group ( P>0.05). On the Day 0, 2nd, 4th, 6th and 8th after modeling, the body weight of rats of low gastric acid control group, low gastric acid model group and low gastric acid and azintamide intervention group was (285.40±10.86), (283.40±6.38), (282.00±5.04) g; (287.10±10.73), (283.20±5.83), (284.00±5.72) g; (292.20±11.18), (281.90±6.23), (289.00±5.82) g; (296.40±11.12), (277.70±6.96), (292.00±6.82) g; (300.80±11.29), (274.30±8.84), (297.00±4.17) g, respectively. On the Day 6th and 8th after modeling, the body weight of rats of low gastric acid model group was lower than that of the low gastric acid control group; and the body weight of rats of low gastric acid and azintamide intervention group was higher than that of low gastric acid model group, and the differences were statistically significant (both P<0.01). On the Day 0, 2nd, 4th, 6th and 8th, there was no statistically significant difference in body weight of rats between low gastric acid and azintamide intervention group and low gastric acid control group ( P>0.05). On the Day 0, 2nd, 4th, there were no statistically significant differences in body weight of rats between low gastric acid and azintamide intervention group and low gastric acid model group, and between low gastric acid model group and low gastric acid control group (both P>0.05). The weight of gastric contents of low gastric acid model group was heavier than that of low gastric acid control group ((2.36±0.11) g vs. (1.85±0.20) g), the weight of gastric contents of low gastric acid and azintamide intervention group was lighter than that of low gastric acid model group ((1.87±0.42) g vs. (2.36±0.11) g), and the differences were statistically significant ( P=0.019 and 0.016, respectively), and there was no statistically significant difference in weight of gastric contents between the low gastric acid and azintamide intervention group and the low gastric acid control group ( P>0.05). The peripheral blood level of PGA of rats of low gastric acid model group was lower than that of low gastric acid control group ((551.80±190.00) ng/L vs. (857.00±164.80) ng/L), while the peripheral blood level of PGA of the low gastric acid and azintamide intervention group was higher than that of the low gastric acid model group ((799.90±97.80) ng/L vs. (551.80±190.00) ng/L), and the differences were statistically significant ( P=0.011 and 0.037, respectively). There was no significant difference in peripheral blood level of PGA between the low gastric acid control group and the low gastric acid and azintamide intervention group ( P>0.05). The peripheral blood level of gastrin of the low gastric acid model group was higher than that of the low gastric acid control group ((49.31±11.93) ng/L vs. (35.59±5.29) ng/L), and the CCK level of the low gastric acid model group was lower than that of low gastric acid control group ((10.26±5.32) ng/L vs. (25.55±11.62) ng/L), and the differences were statistically significant ( P=0.037 and 0.035, respectively). The peripheral blood level of gastrin of the low gastric acid and azintamide intervention group was lower than that of low gastric acid model group ((35.65±6.49) ng/L vs. (49.31±11.93) ng/L), the level of CCK of the low gastric acid and azintamide intervention group was higher than that of low gastric acid model group ((27.59±11.22) ng/L vs. (10.26±5.32) ng/L), and the differences were statistically significant ( P=0.048 and 0.021, respectively). There were no significant differences in CCK and gastrin between low gastric acid and azintamide intervention group and low gastric acid control group (both P>0.05). Conclusion:Azintamide regulates the levels of gastrointestinal hormones CCK and gastrin under the condition of low gastric acid and affects the expression of pepsinogen A, thereby promoting gastric emptying in a low gastric acid environment.