E-MTAB-10494

NIAID Data Ecosystem2026-05-02 收录

代谢物生物标志物

基因预测模型

数据链接：

https://www.omicsdi.org/dataset/atlas-experiments/E-MTAB-10494 数据链接链接失效反馈

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资源简介：

Identification of A Blood-based 9-hub-gene Signature for Metabolic Syndrome by Machine Learning Algorithms and Integrated Bioinformatics Analysis

创建时间：

2025-07-09

Prediction of body fat content and distribution by anthropometry and biomarkers.

体脂肪预测

代谢物生物标志物

*Model (2) included all biomarkers, age, ethnicity, and key covariates, including smoking status (never vs. former, pack-years of cigarette smoking), education, use of medications (estrogen, statins,

NIAID Data Ecosystem70

LACTATE CAN BE A MARKER OF METABOLIC SYNDROME IN SEVERE OBESITY?

代谢物生物标志物

严重肥胖临床研究

ABSTRACT Background: In the last decades, numerous studies have confirmed the importance of lactate - by-product to the nutrient signal of the intracellular redox state - to regulatory functions in

NIAID Data Ecosystem60

Plasma metabolite and endocrine parameters used to generate a combined PLS-DA model that best discriminates the pre- and post- weight loss and fitness intervention states in adult women.

代谢物生物标志物

干预效果评估

a Parameters selected in the overnight-fasted plasma metabolite PLS-DA model.b Parameters selected in the post-OGTT plasma metabolite AUC PLS-DA model.c Parameters observed in both the overnight-faste

Figshare2015-12-02 更新20

Different metabolite levels of patients in different-MEE groups.

差异代谢物分析

代谢物生物标志物

#vs. low MEE, P<0.05; †vs media MEE, P<0.05.

NIAID Data Ecosystem60

Metabolites with differences in cerebrospinal fluid concentrations between two or more disease groups a .

代谢物生物标志物

神经系统疾病诊断

Metabolites with differences in cerebrospinal fluid concentrations between two or more disease groupsa.

NIAID Data Ecosystem20