Objective To prepare rat models of liver stagnation syndrome constipation-type irritable bowel syndrome(IBS-C)using single and multi-factor modeling method with different indicators,to provide ideal experimental animal models of IBS-C.Methods Forty-two SD rats were divided randomly into blank(Normal),cold-water gavage(Cold),restraint(Restrain),tail-clamping(Tail),cold-water gavage + restraint(C + R),and cold-water gavage + tail-clamping groups(C + T).Body weight,food intake,water intake,and survival status,as well as open-field behavior,fecal Bristol score,visceral sensitivity,and small intestine propulsion were observed in each group during the modeling period.Pathological changes in the rat colon were observed by hematoxylin and eosin staining,and the serum and colon contents of 5-hydroxytryptamine(5-HT)and vasoactive intestinal peptide(VIP)were determined by enzyme-linked immunosorbent assay.Results The body weight in each group decreased after modeling(P<0.05,P<0.01),the food and water intakes decreased,and serum 5-HT levels increased.The number of fecal particles and Bristol score decreased while the colon 5-HT content increased in the Cold group(P<0.05,P<0.01);the total distance and average speed of the restraint group in the open field decreased(P<0.01);the preference for sugar water in the Tail group decreased(P<0.01);the preference for sugar water,total open-field distance,small intestine propulsion rate,defecation particles,and Bristol score all decreased,while the colon 5-HT content increased and the VIP content decreased in the C + T group(P<0.05,P<0.01);and the total distance,average speed,and VIP content in the colon decreased in the C + R group(P<0.05).Except for the Tail group,all the model groups showed visceral hypersensitivity(P<0.05,P<0.01)compared to the blank group at various pressure values on days 7 and 14 of modeling.Pathological observations showed no significant inflammatory cell infiltration or pathological changes in any of the model groups.Conclusions The combination of ice-water gastric lavage and tail clamping can be used to establish a rat model of liver depression syndrome in IBS-C.This may be the best of the five tested method,and the resulting model may lay the foundation for further systematic and in-depth research into the mechanism of traditional Chinese medicine in preventing and treating IBS-C.

Objective:To explore the current situation of nursing human caring in hospital wards and analyze its influencing factors, so as to facilitate the development of nursing human caring practice.Methods:From July to November 2022, a total of 107 hospitals were surveyed through stratified convenience sampling method, and 4 072 ward nursing managers were recruited to finish the general information questionnaire and the ward nursing human caring status questionnaire. The general information included the region, class and type of the hospital, etc. The ward nursing human caring status questionnaire included 38 items in 5 dimensions of nursing human caring system and process, humanistic quality and training of nursing staff, humanistic environment and facilities, human caring procedures and measures, and human caring quality evaluation and improvement, with a full score of 190 points. Descriptive statistics were used to analyze the general data, independent samples t-test, ANOVA and correlation analysis were used to analyze the factors influencing the current status of nursing human caring in the ward, while multiple linear regression analysis was used to conduct a multivariate analysis. Results:The score of nursing human caring in hospital wards was 156.91±27.78. Whether the hospital had carried out nursing human caring pilot(demonstration) wards, whether the ward had previously been a hospital nursing human caring pilot(demonstration) nursing unit, the type of ward, and whether nursing managers had participated in human caring training were the influencing factors of the implication of nursing humanistic caring in wards( P<0.05). Conclusions:The practice of nursing human caring in hospital wards is at a good level, but needs to be further strengthened. Nursing managers should take systematically strategies to promote the development of nursing human caring practice.

Breast cancer is globally the most common invasive cancer in women and remains one of the leading causes of cancer-related deaths. Surgery, radiotherapy, chemotherapy, immunotherapy, and endocrine therapy are currently the main treatments for this cancer type. However, some breast cancer patients are prone to drug resistance related to chemotherapy or immunotherapy, resulting in limited treatment efficacy. Consequently, traditional Chinese medicinal materials (TCMMs) as natural products have become an attractive source of novel drugs. In this review, we summarized the current knowledge on the active components of animal-derived TCMMs, including Ophiocordycepssinensis-derived cordycepin, the aqueous and ethanolic extracts of O.sinensis, norcantharidin (NCTD), Chansu, bee venom, deer antlers, Ostreagigas, and scorpion venom, with reference to marked anti-breast cancer effects due to regulating cell cycle arrest, proliferation, apoptosis, metastasis, and drug resistance. In future studies, the underlying mechanisms for the antitumor effects of these components need to be further investigated by utilizing multi-omics technologies. Furthermore, large-scale clinical trials are necessary to validate the efficacy of bioactive constituents alone or in combination with chemotherapeutic drugs for breast cancer treatment.
Animals ; Breast Neoplasms/drug therapy* ; Cell Cycle Checkpoints ; China ; Deer ; Female ; Humans ; Immunotherapy

To investigate the distribution and diagnostic value of serum anti-Müllerian hormone (AMH) in healthy women of childbearing age, women with polycystic ovary syndrome (PCOS), ovarian dysfunction (DOR) and premature ovarian failure (POF). This study retrospectively selected female patients of childbearing age who were treated in the affiliated Obstetrics and Gynecology Hospital of Fudan University from January to December 2019. According to different clinical manifestations, they were divided into 133 cases in PCOS group, 120 cases in DOR group and 134 cases in POF group. 125 healthy women in the same period were selected as the control group. The values of serum AMH, estradiol (E2), follicle stimulating hormone (FSH), luteinizing hormone (LH) and testosterone (T) were measured in the four groups. Single sample Kolmogorov-Smirnov test, one-way ANOVA, independent sample t-test, Kruskal-Wallis H test, Mann-Whitney U test, logistic regression analysis and ROC curve were used for comparative analysis. The serum AMH levels of PCOS group, DOR group, POF group and control group were 9.10 (6.67, 11.49) ng/ml, 0.11 (0.05, 0.29) ng/ml, 0.03 (0.02, 0.06) ng/ml and 2.99 (1.57, 4.98) ng/ml, respectively [ M(Q1,Q3)], the differences were statistically significant ( P<0.001). The basal endocrine levels including E2, FSH, LH and T also had significant differences between groups ( P<0.001). The results of multiple comparisons showed that there were significant differences in AMH and LH between DOR, POF and PCOS groups and the control group. The T level of PCOS group was significantly higher than that of the control group, the E2, LH and T levels of DOR group were significantly higher than that of the control group, and the FSH level of POF group was significantly higher than that of the control group ( P<0.05). The area under the curve (AUC) of AMH and AMH+LH in the diagnosis of PCOS were 0.905 and 0.922, the sensitivity was 82.7% and 85.0%, and the specificity was 88.0% and 88.8%. The AUC of DOR was 0.861 and 0.971, the sensitivity was 89.0% and 92.5%, and the specificity was 63.0% and 92.0%. The AUC of POF was 0.950 and 0.998, the sensitivity was 98.3% and 99.2%, and the specificity was 75.9% and 97.0%, respectively. The AUC of AMH and AMH+LH combined indexes in the differential diagnosis of DOR and POF were 0.768 and 0.937, the sensitivity was 70.3% and 95.5%, and the specificity was 73.9% and 80.8%.

To investigate the distribution and diagnostic value of serum anti-Müllerian hormone (AMH) in healthy women of childbearing age, women with polycystic ovary syndrome (PCOS), ovarian dysfunction (DOR) and premature ovarian failure (POF). This study retrospectively selected female patients of childbearing age who were treated in the affiliated Obstetrics and Gynecology Hospital of Fudan University from January to December 2019. According to different clinical manifestations, they were divided into 133 cases in PCOS group, 120 cases in DOR group and 134 cases in POF group. 125 healthy women in the same period were selected as the control group. The values of serum AMH, estradiol (E2), follicle stimulating hormone (FSH), luteinizing hormone (LH) and testosterone (T) were measured in the four groups. Single sample Kolmogorov-Smirnov test, one-way ANOVA, independent sample t-test, Kruskal-Wallis H test, Mann-Whitney U test, logistic regression analysis and ROC curve were used for comparative analysis. The serum AMH levels of PCOS group, DOR group, POF group and control group were 9.10 (6.67, 11.49) ng/ml, 0.11 (0.05, 0.29) ng/ml, 0.03 (0.02, 0.06) ng/ml and 2.99 (1.57, 4.98) ng/ml, respectively [ M(Q1,Q3)], the differences were statistically significant ( P<0.001). The basal endocrine levels including E2, FSH, LH and T also had significant differences between groups ( P<0.001). The results of multiple comparisons showed that there were significant differences in AMH and LH between DOR, POF and PCOS groups and the control group. The T level of PCOS group was significantly higher than that of the control group, the E2, LH and T levels of DOR group were significantly higher than that of the control group, and the FSH level of POF group was significantly higher than that of the control group ( P<0.05). The area under the curve (AUC) of AMH and AMH+LH in the diagnosis of PCOS were 0.905 and 0.922, the sensitivity was 82.7% and 85.0%, and the specificity was 88.0% and 88.8%. The AUC of DOR was 0.861 and 0.971, the sensitivity was 89.0% and 92.5%, and the specificity was 63.0% and 92.0%. The AUC of POF was 0.950 and 0.998, the sensitivity was 98.3% and 99.2%, and the specificity was 75.9% and 97.0%, respectively. The AUC of AMH and AMH+LH combined indexes in the differential diagnosis of DOR and POF were 0.768 and 0.937, the sensitivity was 70.3% and 95.5%, and the specificity was 73.9% and 80.8%.

Objective:To understand the genetic characteristics of subgenus C human adenovirus (HAdV-C) strain isolated in Hunan in 2014.Methods:An HAdV-C strain named Hunan2014-s024 was isolated from throat swab collected from a child with severe acute respiratory infection in Changsha city of Hunan province in 2014. The whole genome sequence (WGS) was obtained by segmented amplification and sequence splicing. Database of HAdV-C was constructed with the strain from this study and the HAdV-C representative strains from GenBank. The whole genome characteristics was analyzed by using bioinformatics software.Results:Strain Hunan2014-s024 has the highest homology with the HAdV-C strain (MK041244-CHN-2006) isolated from stool sample of a healthy child in Shanxi province in 2006, and the genome of strain MK041244-CHN-2006 was used as the backbone, and penton based gene was replaced by gene fragment from MK041246-chn-2012 strain isolated from a child with acute lower respiratory tract infection in Hunan province in 2012.Conclusions:Our result indicated that 2014 Hunan strain(Hunan2014-s024)is a recombinant virus of 2006 Shanxi strain(MK041244-CHN-2006)and 2012 Hunan strain(MK041246-CHN-2012). Due to the change of pathogenicity, it is necessary to strengthen the molecular epidemiological surveillance of HAdV-C to understand its potential disease burden and public health significance.

Discuss the electromyography and imaging characteristics of Hirayama disease，and improve clinicians’ awareness of the disease. Methods A retrospective analysis of clinical data of five cases of Hirayama disease patients in our hospital，analyze its clinical manifestations，EMG and imaging features. Results 5 patients were male，age 18 to 28 years old，（3 cases） unilateral，bilateral involvement in two cases of asymmetry. Five patients showed the hand and forearm muscle weakness with atrophy，forearm ramp-like changes，with cold paralysis. Motor nerve conduction delay mainly ulnar nerve terminal during latent，median nerve，ulnar nerve compound muscle action potential （the CMAP） amplitude decreased，no motor nerve conduction block；sensory nerve conduction were normal. Needle electrode EMG neurogenic damage，abnormal muscle mainly in the C7-T1 segment dominated area. MRI in the neutral position of the cervical spine in 5 patients showed that the physiological curvature was straightened or the spinal cord was slightly thinned；2 cases showed LOA phenomenon in the cross section；5 cases showed different degrees of compression of the cervical spinal cord forward and the epidural space signal shadow in the flexion position，enhanced scanning Abnormal enhancement in the epidural space can be seen. Conclusion According to the clinical manifestations of Hirayama disease combined with its characteristic electromyography and MRI features，early diagnosis of Hirayama disease can be made.

Objective: To investigate the value of texture analysis based on MR ADC map of prostate in differentiating between low-grade and high-grade prostate cancer (PCa). Methods: PCa confirmed by pathology after radical prostatectomy were analyzed retrospectively, all patients underwent multiparametric MRI before radical prostatectomy, including T₁WI,T₂WI and DWI. On the ADC map, ROI was drawn manually to encompass the whole tumor by ITK-SNAP software. The python-based pyradiomics package was used to extract 105 texture features. The intraclass correlation coefficient was used to evaluate the repeatability of the texture features. The independent sample t test or Mann-Whitney U test was used to exclude features that had no significant difference between low grade and high grade PCa. Lasso regression model and 5 fold cross validation method were used to obtain texture feature combination of the highest performance and develop a classification modelfor discriminating low from high grade PCa. ROC curve was used to evaluate the diagnostic efficiency of the model. Result: Ninety patients with PCa confirmed by pathology after radical prostatectomywere analyzed retrospectively,including 36 patients with low-level PCa (GS≤3+4) and 54 patients with high-level PCa (GS≥4+3). The area under curve of the model was 0.841, with sensitivity 69.6% and specificity 91.2%, which was significantly higher than single texture feature or traditional mean ADC value. Conclusion Texture analysis based on MRI-ADC map of prostate could be used to discriminate low grade PCa from high grade PCa.

Objective To investigate the detection and significance of anti-Müllerian hormone (AMH) and inhibin B (INHB) in patients with polycystic ovary syndrome (PCOS). Methods This study randomly selected 240 PCOS patients from January to October 2018 in Obstetrics and Gynecology Hospital of Fudan University, and 240 healthy women who were admitted to the physical examination center of Obstetrics and Gynecology Hospital of Fudan University as control group during the same period. Retrospective study was adopted. Serum samples of patients were collected and the serum estradiol (E2), luteinizing hormone (LH), follicle stimulating hormone (FSH), testosterone (T), sex hormone binding globulin (SHBG), AMH and INHB were detected. The data were analyzed by single sample Kolmogorov-Smimov test, independent sample T test and logistic regression analysis. Results The detection values of AMH, INHB, E2, LH, FSH, T, SHBG and INHB/AMH in PCOS group were (8.55±3.17) ng/ml, (101.7±15.2) pg/ml, (63± 50) pg/ml, (13.0±5.8) mIU/ml, (6.5±1.5) mIU/ml, (0.68±0.23) ng/ml, (62±52) nmol/ml and (24.03±26.35) respectively. In the control group, the detection values of AMH, INHB, E2, LH, FSH, T, SHBG, INHB and AMH were (4.34±2.07) ng/ml, (83.3±7.7) pg/ml, (66±25) pg/ml, (7.1±3.7) mIU/ml, (7.2±1.9) mIU/ml, (0.40± 0.11) ng/ml, (67±37) nmol/ml and (42.83±62.22). The detection values of AMH, INHB, LH, T and SHBG in PCOS group were higher than those in control group (the t values were 9.843, 7.373, 9.021, 9.349 and 3.867), and the difference was statistically significant (P<0.05). The detection values of E2 and FSH in PCOS group were lower than those in control group(the t values were 0.762 and -1.342), with no significant difference (P>0.05). The INHB/AMH value was lower than that in control group(the t value was -2.332), and the difference was statistically significant(P<0.05). The area under the curve of AMH, INHB and AMH+INHB in the diagnosis of PCOS was 0.762, 0.677 and 0.789, respectively. The cut-off value of AMH in predicting polycystic ovary syndrome was 6.96 ng/mL, the sensitivity was 61.0％, and the specificity was 82.1％. The cut-off value of INHB in predicting polycystic ovary syndrome was 94.9 pg/mL, with a sensitivity of 59.0％ and a specificity of 74.1％. The sensitivity and specificity of combined detection of AMH and INHB in predicting polycystic ovary syndrome were 83.6％ and 60.6％. The positive rates of ultrasound, T, AMH and INHB in PCOS group were 51.25％, 61.25％, 69.58％ and 66.25％, respectively. Conclusion The combined detection of AMH and INHB may improve the sensitivity and specificity of PCOS diagnosis, and its serum level is stable.

Objective To investigate the value of texture analysis based on MR ADC map of prostate in differentiating between low?grade and high?grade prostate cancer (PCa). Methods PCa confirmed by pathology after radical prostatectomy were analyzed retrospectively, all patients underwent multiparametric MRI before radical prostatectomy, including T1WI,T2WI and DWI. On the ADC map, ROI was drawn manually to encompass the whole tumor by ITK?SNAP software. The python?based pyradiomics package was used to extract 105 texture features. The intraclass correlation coefficient was used to evaluate the repeatability of the texture features. The independent sample t test or Mann?Whitney U test was used to exclude features that had no significant difference between low grade and high grade PCa. Lasso regression model and 5 fold cross validation method were used to obtain texture feature combination of the highest performance and develop a classification modelfor discriminating low from high grade PCa. ROC curve was used to evaluate the diagnostic efficiency of the model. Result Ninety patients with PCa confirmed by pathology after radical prostatectomywere analyzed retrospectively,including 36 patients with low?level PCa (GS≤3+4) and 54 patients with high?level PCa (GS≥4+3). The area under curve of the model was 0.841, with sensitivity 69.6% and specificity 91.2%, which was significantly higher than single texture feature or traditional mean ADC value. Conclusion Texture analysis based on MRI?ADC map of prostate could be used to discriminate low grade PCa from high grade PCa.