Objective To observe the expressions of bone morphogenetic protein-2(BMP-2)and bone morphogenetie protein-7(BMP-7)in the synovial tissue of fluorosis rats and its correlation with pathogenic mechanism of fluorosis arthritis.Methods Thirty-two SD rats were randomly divided into 4 groups:the control group,low,moderate and high-dose fluoride group.The control group ate commou fodder.The low,moderate and high dose fluoride group were fed with fodder composed of 25%.35%and 68%of corn(containing fluorine of 148.00 mg/kg)in chronic endemic fluorosis region in Guizhou Province.After 140 days,the expressions of BMP-2 and BMP-7 protein were determined by immunohistochemistry and assayed the absorbanee by computer image-pattern analysis system.Light microscope was used to observe the synovial tissue by Hematoxin Eosin,and calculated the pathological integral of synovium according to pathological grade standard.Results The expressions of BMP-2 (32.50±2.73)and BMP-7(38.90±2.56)in the control group was spare.Compared with the control group,the expressions of BMP-2(59.43±5.12,79.82±6.41,101.76±7.56)and BMP-7(55.10±4.82,78.42±5.61,98.46± 6.05)in the synovial tissue was up-regulated in each experimental groups(P＜0.05),especially in the moderate dose and the high-dose groups(P＜0.05).Compared with the control group(0.54±0.21).the pathological integral of synovium increased(P＜0.05)in each experimental groups(1.04±0.98,4.69±1.28,8.60±2.07).The expressions of BMP-2 and BMP-7 in the synovial tissue was found to be positively related with the pathological integral of synovium(r=0.98,0.99,P＜0.05).Conclusion The BMP-2 and BMP-7 play an important role in the development of fluorosis arthritis,probably by affecting osteogenesis.

Objective To investigate the relationship between hemoglobin and blood pressure of pregnant women in Zhoushan islands, so as to provide scientific evidence for the etiological study of gestational hypertension. Methods A retrospective study was conducted among 1 383 pregnant women who received perinatal care in Zhoushan Maternal and Child Health Hospital of Zhejiang Province from January 2017 to June 2018. Pregnant women were monitored for hemoglobin content and blood pressure in the early, middle and late pregnancy. The multivariate linear regression was used to analyze the relationship between hemoglobin content and blood pressure in different pregnancy. Results The incidence of anemia in early, middle and late pregnancy was 7.74%, 25.45% and 15.76% respectively. The multivariate linear regression showed that hemoglobin levels during pregnancy had effects on systolic blood pressure in early, middle and late pregnancy, and the earlier hemoglobin levels were monitored, the more obvious the effect on systolic blood pressure was.With the increase of hemoglobin level, systolic blood pressure increased, such as the effect of hemoglobin on systolic blood pressure in early pregnancy, mid-pregnancy and late pregnancy. Hemoglobin of first trimster had the greatest effect (β=0.10, P<0.001), Hemoglobin of second trimester had no obvious effect, and that of third trimester had the second effect (β=0.04, P=0.027).Hemoglobin levels and diastolic blood pressure levels were similar to their relationship with systolic blood pressure. Conclusions Hemoglobin levels during pregnancy have significant effects on systolic and diastolic blood pressure in first, second and third trimsters of pregnancy. Regular measurement of hemoglobin levels during pregnancy can improve the health of pregnant women.

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.