Objective To investigate whether plasma lipid profiles are independently associated with pregnancy complications including gestational diabetes mellitus (GDM), hypertensive disorder complicating pregnancy (HDCP), and intrahepatic cholestasis of pregnancy (ICP). Study Design A prospective study was conducted among 1,704 pregnant women at three medical institutions in Chengdu, China. The concentrations of triglyceride (TG), total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), and high-density lipoprotein cholesterol (HDL-C) were measured at gestational weeks 12 ± 1, 24 ± 1, and 34 ± 1. Logistic regression models were used to estimate the association between lipid profiles and pregnancy complications. Receiver operating characteristic analysis was performed to determine the value of lipid profiles to predict GDM and HDCP. Results After adjusting for potential confounders, TG, TC, and LDL-C in the first trimester were independently associated with GDM (TG: odds ratio [OR] =2.00, 95% confidence interval [CI]: 1.57–2.56; TC: OR = 1.38, 95% CI: 1.16–1.64; LDL-C: OR = 1.43, 95% CI: 1.14–1.79) and HDCP (TG: OR = 2.42, 95% CI: 1.56–3.78, TC: OR = 1.64, 95% CI: 1.04–2.57; LDL-C: OR = 1.87, 95% CI: 1.07–3.25). The TC concentration during the whole pregnancy (first trimester: OR = 1.53, 95% CI: 1.13–2.08; second trimester: OR = 1.31, 95% CI: 1.06–1.61; third trimester: OR = 1.39, 95% CI: 1.17–2.04) and LDL-C in the last two trimesters (second trimester: OR = 1.62, 95% CI: 1.30–2.04; third trimester: OR = 1.56, 95% CI: 1.29–1.88) were positively associated with ICP. HDL-C in the third trimester was negatively associated with the risk of ICP (OR = 0.46, 95% CI: 0.22–0.98). Combining lipid profiles in the first trimester with the other common predictors to predict GDM or HDCP owned stronger predictive power with the largest area under the curve (GDM: 0.643 [95% CI: 0.613–0.673], HDCP: 0.707 [95% CI: 0.610–0.804]) than either indicator alone. Conclusion Maternal lipid profiles during the whole pregnancy are significantly associated with GDM, HDCP, and ICP. Combining lipid profiles in the first trimester with the other common predictors could effectively improve the power of predicting GDM and HDCP.
Mannosylerythritol lipids-A (MEL-A) is a novel biosurfactant with excellent surface activity and potential biomedical applications. In this study, we explored the antibacterial activity and the underlying mechanisms of MEL-A against the important food-borne pathogen Listeria monocytogenes. The bacterial growth and survival assays revealed a remarkable antibacterial activity of MEL-A. Since MEL-A is a biosurfactant, we examined the cell membrane integrity and morphological changes of MEL-A-treated bacteria by biochemical assays and flow cytometry analysis and electron microscopes. The results showed obvious damaging effects of MEL-A on the cell membrane and morphology. To further explore the antibacterial mechanism of MEL-A, a transcriptome analysis was performed, which identified 528 differentially expressed genes (DEGs). Gene ontology (GO) analysis revealed that the gene categories of membrane, localization and transport were enriched among the DEGs, and the analysis of the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways demonstrated significant changes in the maltodextrin ABC transporter system and stress response system. Furthermore, the growth of L. monocytogenes could also be significantly inhibited by MEL-A in milk, a model of a real food system, suggesting that MEL-A could be potentially applied as an natural antimicrobial agent to control food-borne pathogens in the food industry.
Objective:To evaluate the effects of gestational weight gain (GWG) in the first trimester (GWG-F) and the rate of gestational weight gain in the second trimester (RGWG-S) on gestational diabetes mellitus (GDM), exploring the optimal GWG ranges for the avoidance of GDM in Chinese women.Design:A population-based prospective study was conducted. Gestational weight was measured regularly in every antenatal visit and assessed by the Institute of Medicine (IOM) criteria (2009). GDM was assessed with the 75-g, 2-h oral glucose tolerance test at 24–28 weeks of gestation. Multivariable logistic regression was performed to assess the effects of GWG-F and RGWG-S on GDM, stratified by pre-pregnancy BMI. In each BMI category, the GWG values corresponding to the lowest prevalence of GDM were defined as the optimal GWG range.Setting:Southwest China.Participants:Pregnant women (n 1910) in 2017.Results:After adjusting for confounders, GWG-F above IOM recommendations increased the risk of GDM (OR; 95 % CI) among underweight (2·500; 1·106, 5·655), normal-weight (1·396; 1·023, 1·906) and overweight/obese women (3·017; 1·118, 8·138) compared with women within IOM recommendations. No significant difference was observed between RGWG-S and GDM (P > 0·05) after adjusting for GWG-F based on the previous model. The optimal GWG-F ranges for the avoidance of GDM were 0·8–1·2, 0·8–1·2 and 0·35–0·70 kg for underweight, normal-weight and overweight/obese women, respectively.Conclusions:Excessive GWG in the first trimester, rather than the second trimester, is associated with increased risk of GDM regardless of pre-pregnancy BMI. Obstetricians should provide more pre-emptive guidance in achieving adequate GWG-F.
Enterococci, a type of lactic acid bacteria, are widely distributed in various environments and are part of the normal flora in the intestinal tract of humans and animals. Although enterococci have gradually evolved pathogenic strains causing nosocomial infections in recent years, the non-pathogenic strains have still been widely used as probiotics and feed additives. Enterococcus can produce enterocin, which are bacteriocins considered as ribosomal peptides that kill or inhibit the growth of other microorganisms. This paper reviews the classification, synthesis, antibacterial mechanisms and applications of enterocins, and discusses the prospects for future research.
Objectives: Fruit intake may influence gestational diabetes mellitus (GDM) risk. However, prospective evidence remains controversial and limited. The current study aimed to investigate whether total fruit and specific fruit intake influence GDM risk. Design: A prospective cohort study was conducted. Dietary information was collected by a 3-d 24-h dietary recall. All participants underwent a standard 75-g oral glucose tolerance test at 24–28 gestational weeks. Log-binomial models were used to estimate the association between fruit intake and GDM risk, and the results are presented as relative risks (RR) and 95 % CI. Setting: Southwest China. Participants: Totally, 1453 healthy pregnant women in 2017. Results: Total fruit intake was not associated with lower GDM risk (RR of 1·03 (95 % CI 0·83, 1·27) (Ptrend = 0·789)). The RR of GDM risk was 0·73 for the highest anthocyanin-rich fruit intake quartile compared with the lowest quartile (95 % CI 0·56, 0·93; Ptrend = 0·015). A higher grape intake had a linear inverse association with GDM risk (Q4 v. Q1: RR = 0·65; 95 % CI 0·43, 0·98; Ptrend = 0·044), and after further adjustment for anthocyanin intake, the inverse association tended to be non-linear (Q4 v. Q1: RR = 0·65; 95 % CI 0·44, 0·98; Ptrend = 0·079). However, we did not find an association between glycaemic index-grouped fruit, glycaemic load-grouped fruit or other fruit subtype intake and GDM risk. Conclusions: In conclusion, specific fruit intake (particularly anthocyanin-rich fruit and grapes) but not total fruit intake was inversely associated with GDM risk.
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