27 research outputs found
Blood profile of proteins and steroid hormones predicts weight change after weight loss with interactions of dietary protein level and glycemic index
Weight regain after weight loss is common. In the Diogenes dietary intervention study, high protein and low glycemic index (GI) diet improved weight maintenance.
OBJECTIVE:
To identify blood predictors for weight change after weight loss following the dietary intervention within the Diogenes study.
DESIGN:
Blood samples were collected at baseline and after 8-week low caloric diet-induced weight loss from 48 women who continued to lose weight and 48 women who regained weight during subsequent 6-month dietary intervention period with 4 diets varying in protein and GI levels. Thirty-one proteins and 3 steroid hormones were measured.
RESULTS:
Angiotensin I converting enzyme (ACE) was the most important predictor. Its greater reduction during the 8-week weight loss was related to continued weight loss during the subsequent 6 months, identified by both Logistic Regression and Random Forests analyses. The prediction power of ACE was influenced by immunoproteins, particularly fibrinogen. Leptin, luteinizing hormone and some immunoproteins showed interactions with dietary protein level, while interleukin 8 showed interaction with GI level on the prediction of weight maintenance. A predictor panel of 15 variables enabled an optimal classification by Random Forests with an error rate of 24±1%. A logistic regression model with independent variables from 9 blood analytes had a prediction accuracy of 92%.
CONCLUSIONS:
A selected panel of blood proteins/steroids can predict the weight change after weight loss. ACE may play an important role in weight maintenance. The interactions of blood factors with dietary components are important for personalized dietary advice after weight loss
Inheritance of protection from osmotic stress
Exposure of mother worms to mild osmotic stress induces gene expression changes in offspring that protect them from strong osmotic stress. Inheritance of protection is now shown to depend on altered insulin-like signalling in the maternal germline, which confers protection through increased expression of zygotic gpdh-2, a rate-limiting enzyme in glycerol biosynthesis
Cannabis Use is a Better Indicator of Poor Mental Health in Women Than in Men:A Cross-Sectional Study in Young Adults from the General Population
Aberrations in DNA methylation are detectable during remission of acute lymphoblastic leukemia and predict patient outcome
Epigenetic inactivation of <em>TWIST2</em> in acute lymphoblastic leukemia modulates proliferation, cell survival and chemosensitivity
International energy agency PVPS task 2: Analysis of the operational performance of the IEA database PV systems
International audienc
International energy agency task II database on photovoltaïc power systems: statistical and analytical evaluation of PV operational data
International audienc
Aberrations in DNA methylation are detectable during remission of acute lymphoblastic leukemia and predict patient outcome
AIM: Aberrant DNA methylation patterns are a hallmark of cancer, although the extent to which they underlie cancer development is unknown. In this study, we aimed to determine whether acute lymphoblastic leukemia (ALL) patients in clinical remission retained abnormal DNA methylation patters and whether these were associated with patient outcome.MATERIALS & METHODS: We investigated CpG island methylation of genes known to exhibit hypermethylation in leukemia using quantitative pyrosequencing analysis.RESULTS: Although methylation levels were reduced in remission samples, they remained significantly higher than those seen in healthy controls. This retained methylation was not related to low levels of residual leukemia cells still present at remission. Methylation levels were also stable (or increased) during continuous remission and significantly correlated with long-term survival in adult ALL patients.CONCLUSION: This study determined that abnormalities in DNA methylation are retained during ALL remission and may represent a novel prognostic marker for adult ALL patients.</p
Blood profiling of proteins and steroids during weight maintenance with manipulation of dietary protein level and glycaemic index
Weight regain after weight loss is common. In the Diogenes dietary intervention study, a high-protein and low-glycaemic index (GI) diet improved weight maintenance. The objective of the present study was to identify (1) blood profiles associated with continued weight loss and weight regain (2) blood biomarkers of dietary protein and GI levels during the weight-maintenance phase. Blood samples were collected at baseline, after 8 weeks of low-energy diet-induced weight loss and after a 6-month dietary intervention period from female continued weight losers (n 48) and weight regainers (n 48), evenly selected from four dietary groups that varied in protein and GI levels. The blood concentrations of twenty-nine proteins and three steroid hormones were measured. The changes in analytes during weight maintenance largely correlated negatively with the changes during weight loss, with some differences between continued weight losers and weight regainers. Increases in leptin (LEP) and C-reactive protein (CRP) were significantly associated with weight regain (P < 0.001 and P = 0.005, respectively), and these relationships were influenced by the diet. Consuming a high-protein and high-GI diet dissociated the positive relationship between the change in LEP concentration and weight regain. CRP increased during the weight-maintenance period only in weight regainers with a high-protein diet (P < 0.001). In addition, testosterone, luteinising hormone, angiotensinogen, plasminogen activator inhibitor-1, resistin, retinol-binding protein 4, insulin, glucagon, haptoglobin and growth hormone were also affected by the dietary intervention. The blood profile reflects not only the weight change during the maintenance period, but also the macronutrient composition of the dietary intervention, especially the protein level