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AIM: To study the effect of growth hormone (GH) and vitamin E (Vit.E) combined in the treatment of endometrial thinning. METHODS: Twenty female SD rats were randomly divided into four groups: control group, model group, GH group and treatment group, with 5 rats in each group. Control group was routinely fed; Rats in model group, GH group and treatment group were injected intrauterine with 95%ethanol during estrus stage to construct a thin endometrial model. Six to eight hours after operation, rats in model group were injected intrauterine with 0.2 mL normal saline, rats in GH group and treatment group were injected with the same amount of GH, and the treatment group was given intragastric treatment of 60 mg/kg Vit.E. The rats were sacrificed 3 estrus cycles (about 2 weeks) after the operation. HE staining was performed on the uterine tissue to identify the model, and the levels of Cytokeratin 19 and Vimentin in the endometrium were detected by immunohistochemical color. RESULTS: The endometrial thickness of the model group was significantly thinner than that of the model group, and the endometrial thickness of the treatment group was significantly higher than that of the control group, but the endometrial thickness of the GH group was slightly lower than that of the control group. The expression levels of keratin and vimentin in model group were lower than those in GH group, control group and treatment group, and the differences were statistically significant. CONCLUSION: Endometrial-related proliferation indexes were significantly increased after GH and vitamin E treatment, and GH and vitamin E could effectively promote the proliferation of endometrial cells.
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BackgroundUnderstanding clinical progression of COVID-19 is a key public health priority that informs resource allocation during an emergency. We characterized clinical progression of COVID-19 and determined important predictors for faster clinical progression to key clinical events and longer use of medical resources. Methods and FindingsThe study is a single-center, observational study with prospectively collected data from all 420 patients diagnosed with COVID-19 and hospitalized in Shenzhen between January 11th and March 10th, 2020 regardless of clinical severity. Using competing risk regressions according to the methods of Fine and Gray, we found that males had faster clinical progression than females in the older age group and the difference could not be explained by difference in baseline conditions or smoking history. We estimated the proportion of cases in each severity stage over 80 days following symptom onset using a nonparametric method built upon estimated cumulative incidence of key clinical events. Based on random survival forest models, we stratified cases into risk sets with very different clinical trajectories. Those who progressed to the severe stage (22%,93/420), developed acute respiratory distress syndrome (9%,39/420), and were admitted to the intensive care unit (5%,19/420) progressed on average 9.5 days (95%CI 8.7,10.3), 11.0 days (95%CI 9.7,12.3), and 10.5 days (95%CI 8.2,13.3), respectively, after symptom onset. We estimated that patients who were admitted to ICUs remained there for an average of 34.4 days (95%CI 24.1,43.2). The median length of hospital stay was 21.3 days (95%CI, 20.5,22.2) for cases who did not progress to the severe stage, but increased to 52.1 days (95%CI, 43.3,59.5) for those who required critical care. ConclusionsOur analyses provide insights into clinical progression of cases starting early in the course of infection. Patient characteristics near symptom onset both with and without lab parameters have tremendous potential for predicting clinical progression and informing strategic response.
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Objective:A method that is based on microfluidic cell chip technology was developed for the first time to analyze CD14+monocyte myeloperoxidase (MPO) expression in myelomonocytic leukemia (M4) patients. CD14+monocyte MPO expression in M4 patients was preliminarily discussed. Methods:a. The chip was prepared by using polydimethylsiloxane as the host material and by secondary foam molding. b. A total of 48 clinically diagnosed M4 patients and 52 patients with normal myelogram were included as the test and control groups, respectively. c. A method based on the microfluidic cell chip approach was established to detect CD14+mono-cytes and to determine the positive rate and degree of MPO expression in the cells. d. The microfluidic cell chip technique was used to compare CD14+monocyte MPO expression in M4 patients with that in the control. Results:a. The designed microfluidic single cell analysis chip allowed the entry of granulocytes into the corresponding microfluidic channels. Thus, blood cells were separated. Numer-ous ghost corpuscles surrounded the separated white blood cells (WBCs). WBC morphology did not show obvious changes. b. The posi-tive rate of MPO expression and the activity of CD14+monocytes in the bone marrow of M4 patients were significantly higher than those in the bone marrow of the control (P<0.05). Conclusion:A method based on microfluidic single cell technology was developed for the first time to analyze the MPO expression in CD14+monocytes. CD14+monocyte MPO activity in M4 patients was significantly higher than in the control. CD14+monocyte MPO activity can be used as an auxiliary examination marker for clinical diagnosis.
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Objective To investigate the correlation between serum amyloid A (SAA) and disease activity (DAS28) in patients with rheumatoid arthritis (RA). Methods Forty-four patients with RA, 35 patients with systemic lupus erythe-matosus (SLE), 18 patients with osteoarthritis (OA) and 30 healthy controls (HC) were enrolled in this study. The levels of SAA were measured by ELISA. Erythrocyte sedimentation rate (ESR) was measured by the Westergren method. The value of serum C reactive protein (CRP) was examined by immunonephelometry assay. The correlation between SAA and DAS 28, ESR and CRP was assessed, respectively. Results The SAA levels were significantly higher in RA group than those of SLE, OA, and HC groups (P0.05), but there was no significant difference between RA group and SLE group. There was positive correlation between SAA and DAS28, ESR, and CRP levels (rs=0.790, P<0.001;rs=0.674, P<0.001;rs=0.679, P=0.004), respective-ly. Conclusion SAA may be a new serological marker to assess disease activity in RA.
