Search

Objective: To investigate the protective effects of Zuogui Wan (ZGW) on bone loss induced by ovariectomy (OVX) and its mechanism via orexin-A and orexin receptors in the osteoporosis rat model., Methods: Fifty Sprague-Dawley female rats were randomly divided into sham-operated (sham) group and four OVX subgroups. Rats subjected to sham and OVX were treated with the vehicle (OVX, 1 mL/100 g weight, n = 10), 17β-estradiol (E2, 50 μg*kg-1*d-1), and ZGW at the doses of 2.3 (ZGW-L) and 4.6 (ZGW-H) g/kg/day lyophilized powder daily for 3 months, respectively. The serum biochemical parameters of 17β-estrogen (17β-E2), tartrate-resistant acid phosphatase (TRACP-5b) and bone alkaline phosphatase (BALP) were measured by enzyme-linked immunosorbent assay. Hematoxylin-eosin staining was used to detect the changes in the morphological structure in bones. Microcomputed tomography was used to evaluate the bone mineral density and microarchitecture of the distal femur. The gene or protein expression of orexin-A, orexin receptor 1 (OX1R), orexin receptor 2 (OX2R), osteoprotegerin (OPG) and receptor activator of nuclear factor-κB ligand (RANKL) were assayed by either quantitative polymerase chain reaction or Western blot analysis., Results: Compared with the OVX group, ZGW could reduce the serum level of TRACP-5b and increased the serum levels of BALP and17β-E2 (P < 0.01). Meanwhile, ZGW could prevent bone loss and improved bone trabecular microarchitecture by increasing the trabeculae structure thickness and trabecular number, and arranging the trabeculae structure properly. Compared with the OVX group, it was upregulated for the orexin-A and OX2R mRNA or protein expression from the hypothalamus and tibiae, and OPG in the tibiae of ZGW groups (P < 0.01, < 0.05), while downregulated for the OX1R mRNA and protein expression in the tibiae and hypothalamus and RANKL from the tibiae (P < 0.01)., Conclusion: ZGW exhibited a protective effect for PMOP that may be mediated via orexin-A and orexin receptors regulation.

Objective: To analyze clinical characteristics of severe community-acquired pneumonia during pregnancy and its outcomes, and to explore the relevant risk factors. Methods: From September 2012 to September 2017, 324 398 pregnancies admitted in 7 tertiary hospitals were included. Clinical data of 33 cases of pregnancies with severe community-acquired pneumonia (severe pneumonia group) and 214 cases of pregnancies with common community-acquired pneumonia (control group) were reviewed retrospectively, including the clinical information, manifestations, laboratory examinations and pregnancy outcomes. Relevant risk factors were analyzed by multivariate logistic regression analysis. Results: (1) General data: pregnancies with severe community-acquired pneumonia accounted for 0.010% (33/324 398) of hospitalized pregnancies, the gestational age of two groups were (28±8) and (23±8) weeks, body mass index were (21.7±2.1) and (25.5±3.4) kg/m(2), rate of low income were 54.5% (18/33) and 31.8% (68/214) , respectively. The differences between two groups were all statistically significant (all P< 0.05). No significant differences were found in age, pregnancy and parity times, rate of main pregnant complications such as diabetes and hypertension, educational level, asthma and onset seasons between two groups (all P> 0.05). (2) Clinical data: the severe pneumonia group had significantly higher incidence of fever [100.0% (33/33) vs 75.2% (161/214) ], shortness of breath (90.9% vs 16.8%) compared with the control group (all P< 0.05) .The median peripheral leukocytes counts were 12.3×10(9)/L and 10.2×10(9)/L, the hemoglobin level were (84±18) and (107±14) g/L,the albumin level were (26±4) and (37±3) g/L, the median serum urea nitrogen level were 3.7 and 2.4 mmol/L, the serum creatinine level were (72±25) and (45±11) μmol/L, respectively in two groups. The differences were all statistically significant (all P< 0.05). No significantly statistical differences were found in coagulation indicator and cardiac function between two groups (all P> 0.05). (3) Treatments: in severe pneumonia group, 12 patients (36.4%,12/33) needed invasive mechanical ventilation, 9 patients (27.3%,9/33) needed non-invasive mechanical ventilation, average time of mechanical ventilation was (7±4) days;8 patients (24.2%,8/33) with septic shock needed vasoactive drugs. However, there was no patient in control group needing mechanical ventilation and vasoactive drugs. (4) Pregnant outcomes: one patient (3.0%,1/33) died in the severe pneumonia group, while no death occurred in the control group. The hospital stay between two groups were (15.1±4.1) and (7.0±1.9) days, the rates of abortion and stillbirth between two groups were 42.4% (14/33) and 3.3% (7/214) , the rates of premature were 10/19 and 6.3% (13/207) , the rates of cesarean were 15/19 and 43.0% (89/207) , the rates of low birth weight newborn were 17/19 and 14.0% (29/207) , the rates of infected newborn were 15/19 and 10.1% (21/207) , the birth weights were (2 165±681) and (3 102±400) g, respectively. The differences between two groups were all statistically significant (all P< 0.05). (5) Multivariate logistic regression analysis demonstrated that anemia, low body mass index, hypoproteinemia were risk factors for severe pneumonia in pregnancy (all P< 0.05) . Conclusions: Pregnancy with severe community-acquired pneumonia may be complicated by multiple organ dysfunctions, lead to adverse outcomes. Anemia, malnutrition are risk factors for pregnancy with severe pneumonia. Active and effective treatment may improve its prognosis.

The nonstratification of blood pressure (BP) levels may underestimate future cardiovascular risk in pregnant women who present with BP levels in the range of prehypertension (120-139/80-89 mm Hg). We prospectively evaluated the relationship between multiple antepartum BP measurements (from 11(+0) to 13(+6) weeks' gestation to term) and the occurrence of postpartum metabolic syndrome in 507 normotensive pregnant women after a live birth. By using latent class growth modeling, we identified the following 3 distinctive diastolic BP (DBP) trajectory groups: the low-J-shaped group (34.2%; DBP from 62.5±5.8 to 65.0±6.8 mm Hg), the moderate-U-shaped group (52.6%; DBP from 71.0±5.9 to 69.8±6.2 mm Hg), and the elevated-J-shaped group (13.2%; DBP from 76.2±6.7 to 81.8±4.8 mm Hg). Notably, the elevated-J-shaped trajectory group had mean DBP and systolic BP levels within the range of prehypertension from 37(+0) and 26(+0) weeks of pregnancy, respectively. Among the 309 women who completed the ≈1.6 years of postpartum follow-up, the women in the elevated-J-shaped group had greater odds of developing postpartum metabolic syndrome (adjusted odds ratio, 6.55; 95% confidence interval, 1.79-23.92; P=0.004) than the low-J-shaped group. Moreover, a parsimonious model incorporating DBP (membership in the elevated-J-shaped group but not in the DBP prehypertension group as identified by a single measurement) and elevated levels of fasting glucose (>4.99 mmol/L) and triglycerides (>3.14 mmol/L) at term was developed, with good discrimination and calibration for postpartum metabolic syndrome (c-statistic, 0.764; 95% confidence interval, 0.674-0.855; P<0.001). Therefore, prehypertension identified by DBP trajectories throughout pregnancy is an independent risk factor for predicting postpartum metabolic syndrome in normotensive pregnant women., (© 2016 American Heart Association, Inc.)

Objectives: To investigate gestational multiple metabolic abnormalities aggregation and diagnostic criteria for gestational metabolic syndrome (GMS), and to analyze the risk factors of GMS., Methods: A cohort study recruiting 309 pregnant women with preeclampsia, 627 pregnant women with gestational diabetes mellitus (GDM) and 1245 normal pregnant women was performed from January 2008 to December 2011 in Guangdong Women and Children's Hospital. Information regarding age, gestational weeks, basic blood pressure, admission blood pressure, height and body mass index(BMI)before pregnancy was recorded. Biochemical indicators including fasting plasma glucose (FPG), fasting insulin (FINS), total cholesterol (TC), triglyceride (TG), high density lipoprotein (HDL-C), low density lipoprotein (LDL-C), free fatty acids (FFA) were tested. GMS was diagnosed with three or all of the following conditions: (1) overweight and/or obesity before pregnancy (BMI ≥ 25 kg/m(2)); (2) hypertension with blood pressure ≥ 140/90 mm Hg (1 mm Hg = 0.133 kPa); (3) hyperglycemia:diagnosed as GDM; (4) dyslipidemia with TG ≥ 3.23 mmol/L. The incidence of GMS of the three groups were calculated and the risk factors were analyzed., Results: (1) The age, gestational weeks, basic blood pressure, admission blood pressure, BMI before pregnancy of women with preeclampsia and women with GDM were significantly different compared to normal women, respectively (P < 0.01). (2) Biochemical indicators of women with preeclampsia were as following: FPG (4.6 ± 1.0) mmol/L, FINS (10.1 ± 5.6) mU/L, TC (6.3 ± 1.6) mmol/L, TG (3.9 ± 1.8) mmol/L, HDL-C (1.4 ± 0.4) mmol/L, LDL-C (3.0 ± 1.0) mmol/L, FFA (0.8 ± 0.4) mmol/L. And those in women with GDM were: FPG (4.7 ± 0.9) mmol/L, FINS (10.2 ± 5.8) mU/L, TC (5.7 ± 1.3) mmol/L, TG (3.2 ± 1.1) mmol/L, HDL-C (1.4 ± 0.4) mmol/L, LDL-C (2.7 ± 0.9) mmol/L, FFA (0.6 ± 0.3) mmol/L. In normal pregnant women they were: FPG (4.3 ± 0.5) mmol/L, FINS (9.0 ± 4.4) mU/L, TC (5.7 ± 1.1) mmol/L, TG (2.8 ± 1.1) mmol/L, HDL-C (1.5 ± 0.4) mmol/L, LDL-C (2.9 ± 0.8) mmol/L, FFA (0.6 ± 0.2) mmol/L. Statistic differences were found in preeclampsia and GDM women compared to normal women respectively (P < 0.01). (3) The prevalence of GMS in preeclampsia group and in GDM group was 26.2% (81/309) and 13.6% (85/627), statistically different from that of the control group (0)(P < 0.01). (4) Compared to normal women, women with preeclampsia had higher risk of developing GMS (OR = 1.62, 95%CI 1.31 - 2.00, P < 0.01). The risk factors were BMI (OR = 1.29, 95%CI 1.13 - 1.47) and TG (OR = 2.49, 95%CI 1.87 - 3.31). Also, women with GDM had higher risk of developing GMS than normal women (OR = 1.27, 95%CI 1.09 - 1.49, P < 0.01), and the risk factors were BMI (OR = 1.13, 95%CI 1.04 - 1.23) and TG (OR = 1.16, 95%CI 1.02 - 1.33). TG was the independent risk factor in both preeclampsia women and GDM women (P < 0.01, P < 0.05). HDL-C seemed to have less importance in identifying GMS (P > 0.05)., Conclusions: According to the GMS diagnostic criteria used in this study, some preeclampsia patients and some GDM women had aggregation of multiple metabolic abnormalities including pre-pregnancy overweight/obesity, hyperglycemia, high blood pressure and dyslipidemia. TG was the independent risk factor for GMS. HDL-C seemed to have less importance in identifying GMS.