Potential Novel Serum Metabolic Markers Associated With Progression of Prediabetes to Overt Diabetes in a Chinese Population

2021 ◽  
Author(s):  
Meng Ren ◽  
Diao zhu Lin ◽  
Zhi peng Liu ◽  
Kan Sun ◽  
Chuan Wang ◽  
...  
Keyword(s):  
Chinese Population ◽  
Metabolic Markers ◽  
Overt Diabetes

scholarly journals Association of Egg Consumption, Metabolic Markers, and Risk of Cardiovascular Diseases

2021 ◽  
Author(s):  
Lang Pan ◽  
Lu Chen ◽  
Jun Lv ◽  
Yuanjie Pang ◽  
Yu Guo ◽  
...  
Keyword(s):  
Chinese Population ◽  
Case Control Study ◽  
Case Control ◽  
Apolipoprotein A1 ◽  
Plasma Samples ◽  
Cvd Risk ◽  
Metabolic Markers ◽  
Egg Consumption ◽  
Nested Case Control ◽  
Control Study

AbstractObjectiveTo simultaneously explore the associations of self-reported egg consumption with plasma metabolic markers and these markers with CVD risk.MethodsTotally 4,778 participants (3,401 CVD cases subdivided into subtypes and 1,377 controls) aged 30-79 were selected from a nested case-control study based on the China Kadoorie Biobank. Targeted nuclear magnetic resonance was used to quantify 225 metabolites and derived traits in baseline plasma samples. Linear regression was conducted to assess associations between self-reported egg consumption and metabolic markers, which were further compared with associations between metabolic markers and CVD risk.ResultsEgg consumption was associated with 24 out of 225 markers, including positive associations for apolipoprotein A1, acetate, mean HDL diameter, and lipid profiles of very large and large HDL, and inverse associations for total cholesterol and cholesterol esters in small VLDL. Among these 24 markers, 14 of them were associated with CVD risk. In general, the associations of metabolic markers with egg consumption and of metabolic markers with CVD risk showed opposite patterns.ConclusionsIn the Chinese population, egg consumption is associated with several metabolic markers, which may partially explain the protective effect of egg consumption on CVD.

scholarly journals Risk prediction model for lung cancer incorporating metabolic markers: Development and internal validation in a Chinese population

2020 ◽  
Vol 9 (11) ◽  
pp. 3983-3994 ◽  
Author(s):  
Zhangyan Lyu ◽  
Ni Li ◽  
Shuohua Chen ◽  
Gang Wang ◽  
Fengwei Tan ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Prediction Model ◽  
Risk Prediction ◽  
Chinese Population ◽  
Risk Prediction Model ◽  
Metabolic Markers ◽  
Internal Validation

scholarly journals Potential Novel Serum Metabolic Markers Associated With Progression of Prediabetes to Overt Diabetes in a Chinese Population

2022 ◽  
Vol 12 ◽  
Author(s):  
Meng Ren ◽  
Diao zhu Lin ◽  
Zhi Peng Liu ◽  
Kan Sun ◽  
Chuan Wang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Chinese Population ◽  
Multivariate Logistic Regression Analysis ◽  
Area Under The Curve ◽  
Metabolite Profile ◽  
Metabolic Markers ◽  
Random Forest Classification ◽  
Increased Risk ◽  
Study Results

BackgroundIdentifying the metabolite profile of individuals with prediabetes who turned to type 2 diabetes (T2D) may give novel insights into early T2D interception. The purpose of this study was to identify metabolic markers that predict the development of T2D from prediabetes in a Chinese population.MethodsWe used an untargeted metabolomics approach to investigate the associations between serum metabolites and risk of prediabetes who turned to overt T2D (n=153, mean follow up 5 years) in a Chinese population (REACTION study). Results were compared with matched controls who had prediabetes at baseline [age: 56 ± 7 years old, body mass index (BMI): 24.2 ± 2.8 kg/m2] and at a 5-year follow-up [age: 61 ± 7 years old, BMI: 24.5 ± 3.1 kg/m2]. Confounding factors were adjusted and the associations between metabolites and diabetes risk were evaluated with multivariate logistic regression analysis. A 10-fold cross-validation random forest classification (RFC) model was used to select the optimal metabolites panels for predicting the development of diabetes, and to internally validate the discriminatory capability of the selected metabolites beyond conventional clinical risk factors.FindingsMetabolic alterations, including those associated with amino acid and lipid metabolism, were associated with an increased risk of prediabetes progressing to diabetes. The most important metabolites were inosine [odds ratio (OR) = 19.00; 95% confidence interval (CI): 4.23-85.37] and carvacrol (OR = 17.63; 95% CI: 4.98-62.34). Thirteen metabolites were found to improve T2D risk prediction beyond eight conventional T2D risk factors [area under the curve (AUC) was 0.98 for risk factors + metabolites vs 0.72 for risk factors, P < 0.05].InterpretationsUse of the metabolites identified in this study may help determine patients with prediabetes who are at highest risk of progressing to diabetes.

Single nucleotide polymorphisms of the factor IX gene for linkage analysis in the southern Chinese population

2000 ◽  
Vol 111 (2) ◽  
pp. 540-543 ◽  
Author(s):  
Vivian Chan ◽  
Irene Yam ◽  
B. Yip ◽  
P. Au ◽  
M. K. Shing ◽  
...  
Keyword(s):  
Single Nucleotide Polymorphisms ◽  
Linkage Analysis ◽  
Chinese Population ◽  
Factor Ix ◽  
Nucleotide Polymorphisms ◽  
Single Nucleotide ◽  
Southern Chinese

Validation of an American Social Self- Efficacy Inventory in Chinese Population

2006 ◽  
Author(s):  
Jinyan Fan ◽  
Hui Meng ◽  
Felix James Lopez ◽  
Xiaofang Li ◽  
Xiangping Gao
Keyword(s):  
Self Efficacy ◽  
Chinese Population ◽  
Social Self

Gene expression analysis of metabolic markers during bone regeneration in a rat model

2014 ◽  
Vol 23 (03) ◽  
pp. 207-211
Author(s):  
C. Kasch ◽  
A. Osterberg ◽  
Thordis Granitzka ◽  
T. Lindner ◽  
M. Haenle ◽  
...  
Keyword(s):  
Gene Expression ◽  
Gene Expression Analysis ◽  
Saline Solution ◽  
Female Rats ◽  
Synthesis Rate ◽  
Metabolic Markers ◽  
Expression Levels ◽  
Fibrotic Tissue ◽  
Intermittent Pth ◽  
Lower Expression

SummaryThe RANK/RANKL/OPG system plays an important role in the regulation of bone metabolism and bony integration around implants. The aim of this study was to analyse gene expression of OPG, RANK, and RANKL in regenerating bone during implant integration. Additionally, the effect of intermittent para - thyroid hormone (PTH) treatment was analysed. A titanium chamber was implanted in the proximal tibiae of 48 female rats. The animals received either human PTH or saline solution (NaCl). After 21 and 42 days, RNA was isolated from tissue adjacent to the implant and expression of RANK, RANKL, and OPG was analysed. After 21 days, very low expression levels of all genes were shown. In contrast, increased gene expression after 42 days was determined. Expression of RANK and RANKL was lower than that for OPG. The lower expression levels after 21 days might be due to still ossifying, fibrotic tissue around the titanium chamber. An increased OPG synthesis rate associated with decreased RANKL expression after 42 days revealed bone-forming processes. Despite significant differences in gene expression between the time points, only slight differences were observed between application of intermittent PTH and NaCl after a period of 42 days.

Ziprasidone's Effect on Metabolic Markers in Patients with Diabetes and Chronic Schizophrenia

2012 ◽  
Vol 5 (4) ◽  
pp. 185-192 ◽  
Author(s):  
J. Lindenmayer ◽  
Frank Tedeschi ◽  
Anna Yusim ◽  
Anzalee Khan ◽  
Saurabh Kaushik ◽  
...  
Keyword(s):  
Chronic Schizophrenia ◽  
Metabolic Markers ◽  
Patients With Diabetes
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