Objective To investigate the association between serum ferritin(SF) level at early and mid trimester of pregnancy and gestational diabetes mellitus (GDM) and insulin resistance (IR).Methods A total of 192 cases of women who were accepted antenatal examination from the first trimester of pregnancy at Yueqing People Hospital from July,2012 to October,2013 was prospectively analyzed and followed up.All cases were divided into two groups:96 cases of GDM pregnant women who were diagnosed as GDM at mid trimester of pregnancy as GDM group,and 96 cases of pregnant women with normal glucose tolerance at the same time as the control,normal glucose tolerance (NGT group).The differences in clinical data were compared between two groups.The relationship between SF level and fasting plasma glucose (FPG),fasting insulin (FINS),homeostasis model assessment insulin resistance (HOMA-IR),and C-peptide was investigated with Spearman rank correlation analysis.The predictive values of SF and relative variables to GDM were calculated by receiver operating characteristic curve (ROC) or Logistic regression analysis.Results (1) There was statistically significant difference in body weight and body mass index (BMI) at prepregnancy and mid trimester of pregnancy,Hb,FPG,FINS,SF,and C-peptide at the first trimester of pregnancy,SF level and FPG and HOMA-IR and C-peptide at mid trimester of pregnancy between two groups (P ＜ 0.01 or P ＜ 0.05).(2) As showed by Spearman rank correlation analysis,there was statistical correlation between SF at mid trimester of pregnancy,and FPG,FINS,HOMA-IR and C-peptide (P ＜0.01 or P ＜ 0.05);while no statistical correlation was found between SF at the first trimester of pregnancy and the same factors above (P ＞ 0.05).(3) The area under the ROC curve of SF at mid trimester of pregnancy for GDM was 0.653.The sensitivity and specificity were 68.8％ and 59.4％ in predicting GDM at the cut-off value of 16.61 ng/ml.As showed by Logistic regression analysis,high level of SF at mid trimester of pregnancy was a independent risk factor for GDM.Odds ratio (OR) was 1.032 (95％ CI:1.008 ～ 1.058,P ＜ 0.01).Conclusions The relationship between SF at different trimester of pregnancy and GDM is variant.There is relationship between high level SF of mid trimester of pregnancy in GDM pregnant women and IR.The level of SF might predict the occurrence of GDM.

Objective To explore the association between lipid profiles and left ventricular hypertrophy in a Chinese general population. Methods We conducted a retrospective observational study to investigate the relationship between lipid markers [including triglycerides, total cholesterol, low-density lipoprotein cholesterol, high-density lipoprotein (HDL) cholesterol, non-HDL-cholesterol, apolipoprotein A-I, apolipoprotein B, lipoprotein[a], and composite lipid profiles] and left ventricular hypertrophy. A total of 309,400 participants of two populations (one from Beijing and another from nationwide) who underwent physical examinations at different health management centers between 2009 and 2018 in China were included in the cross-sectional study. 7,475 participants who had multiple physical examinations and initially did not have left ventricular hypertrophy constituted a longitudinal cohort to analyze the association between lipid markers and the new-onset of left ventricular hypertrophy. Left ventricular hypertrophy was measured by echocardiography and defined as an end-diastolic thickness of the interventricular septum or left ventricle posterior wall > 11 mm. The Logistic regression model was used in the cross-sectional study. Cox model and Cox model with restricted cubic splines were used in the longitudinal cohort. Results In the cross-sectional study, for participants in the highest tertile of each lipid marker compared to the respective lowest, triglycerides [odds ratio (OR): 1.250, 95％CI: 1.060 to 1.474], HDL-cholesterol (OR: 0.780, 95％CI: 0.662 to 0.918), and lipoprotein(a) (OR: 1.311, 95％CI: 1.115 to 1.541) had an association with left ventricular hypertrophy. In the longitudinal cohort, for participants in the highest tertile of each lipid marker at the baseline compared to the respective lowest, triglycerides [hazard ratio (HR): 3.277, 95％CI: 1.720 to 6.244], HDL-cholesterol (HR: 0.516, 95％CI: 0.283 to 0.940), non-HDL-cholesterol (HR: 2.309, 95％CI: 1.296 to 4.112), apolipoprotein B (HR: 2.244, 95％CI: 1.251 to 4.032) showed an association with new-onset left ventricular hypertrophy. In the Cox model with forward stepwise selection, triglycerides were the only lipid markers entered into the final model. Conclusion Lipids levels, especially triglycerides, are associated with left ventricular hypertrophy. Controlling triglycerides level potentiate to be a strategy in harnessing cardiac remodeling but deserve to be further investigated.

Assembly of eukaryotic ribosome is a complicated and dynamic process that involves a series of intermediates. It is unknown how the highly intertwined structure of 60S large ribosomal subunits is established. Here, we report the structure of an early nucleolar pre-60S ribosome determined by cryo-electron microscopy at 3.7 Å resolution, revealing a half-assembled subunit. Domains I, II and VI of 25S/5.8S rRNA pack tightly into a native-like substructure, but domains III, IV and V are not assembled. The structure contains 12 assembly factors and 19 ribosomal proteins, many of which are required for early processing of large subunit rRNA. The Brx1-Ebp2 complex would interfere with the assembly of domains IV and V. Rpf1, Mak16, Nsa1 and Rrp1 form a cluster that consolidates the joining of domains I and II. Our structure reveals a key intermediate on the path to establishing the global architecture of 60S subunits.