Objective To investigate the effects of diets with different calorie and nutritional values on pubertal onset in female rats. Method Female Wistar rat models receiving calorie-deprived (group R) (Experiment 1) ,fat-rich(group F) ,glucose-rich(group G) and protein-rich(group P) (Experiment 2) test diets were established,and rats receiving diets with normal caloric value were considered as control group (group C). The body weight (BW) ,food-intake and vaginal patency (VP) were observed. The rats were killed at the day of vaginal patency. The BW, uterus weight (UW), uterus index (UI), calorie intake per day (CI), perirenal fat weight (PFW) and perirenal fat index (PFI) were measured. The serum levels of leptin, ghrelin, IGF- Ⅰ were tested by means of ELISA.Results Experiment 1:The VP was retarded in group R compared with group C (P<0. 01). There was a significant difference in BW, UW,UI ,CI,leptin and ghrelin at the VP day between group R and group C (all P<0.01) ,and no significant difference in IGF- Ⅰ levels between these two groups. Experiment 2 :The VP was retarded in group F,group G and group P in comparison with group C (P<0.01). The BW, PFW and PFI in group G and group F were markedly higher than those in group P and group C. The leptin level in group F was the highest, and the lowest in group P. The ghrelin level in group G was the highest,and that in group P was the lowest. However,there were no significant differences in IGF- Ⅰ and UI among these, four groups. Conclusion The normal pubertal onset of female rats requires sufficient caloric stores and balanced nutrient. Diets malnutrition and fat-rich, glucoserich and protein-rich test diets all delay pubertal onset in female rats.

Background and purpose: Carcinosarcoma of the lung is a rare malignant pulmonary neoplasm,which including epithelial and parenchymal malignant structure with a poor prognosis. The purpose of this study was to describe the clinicopathologic characteristics and the survival of pulmonary carcinosarcoma. Methods: From Jan.1980 to Dec. 2006, 64 patients with pulmonary carcinosarcoma who underwent surgical treatment were retrospectively analyzed. Results: The overall 5-year survival rate of the patients was 14.1%. There was significant difference between stage Ⅰ/Ⅱ and stage Ⅲ/Ⅳ disease (28.6% vs 2.8%, P=0.003), respectively. The 5-year survival rates of lobectomy, pneumonectomy and palliative resection were 3 3.3 %, 2.8% and 0% ( P=0.003 ), respectively. Conclusion:p-TNM and operative pattern were correlated with survival. Early diagnosis and radical operation are important to the survival of the patients with pulmonary carcinosarcoma.

To address the increasing need for detecting and validating protein biomarkers in clinical specimens, mass spectrometry (MS)-based targeted proteomic techniques, including the selected reaction monitoring (SRM), parallel reaction monitoring (PRM), and massively parallel data-independent acquisition (DIA), have been developed. For optimal performance, they require the fragment ion spectra of targeted peptides as prior knowledge. In this report, we describe a MS pipe-line and spectral resource to support targeted proteomics studies for human tissue samples. To build the spectral resource, we integrated common open-source MS computational tools to assemble a freely accessible computational workflow based on Docker. We then applied the workflow to gen-erate DPHL, a comprehensive DIA pan-human library, from 1096 data-dependent acquisition (DDA) MS raw files for 16 types of cancer samples. This extensive spectral resource was then applied to a proteomic study of 17 prostate cancer (PCa) patients. Thereafter, PRM validation was applied to a larger study of 57 PCa patients and the differential expression of three proteins in prostate tumor was validated. As a second application, the DPHL spectral resource was applied to a study consisting of plasma samples from 19 diffuse large B cell lymphoma (DLBCL) patients and 18 healthy control subjects. Differentially expressed proteins between DLBCL patients and healthy control subjects were detected by DIA-MS and confirmed by PRM. These data demonstrate that the DPHL supports DIA and PRM MS pipelines for robust protein biomarker discovery. DPHL is freely accessible at https://www.iprox.org/page/project.html?id=IPX0001400000.