Results 11 to 20 of about 8,236 (157)

Decreased in n‐3 DHA enriched triacylglycerol in small extracellular vesicles of diabetic patients with cardiac dysfunction 糖尿病合并心脏功能障碍患者细胞外小囊泡中n‐3 DHA 富集的三酰甘油减少

open access: yesJournal of Diabetes, Volume 15, Issue 12, Page 1070-1080, December 2023., 2023
Highlights Lipid profiles of small extracellular vesicles (sEVs) in patients with diabetes or diabetic cardiovascular disease are rarely reported. n‐3 docosahexaenoic acid (DHA)‐enriched triacylglycerol (TG) was found to decrease in sEVs from serum of patients with diabetic cardiovascular disease (DM‐CAD).
Wei Ding   +3 more
wiley   +1 more source

Fatty acid β‐oxidation and mitochondrial fusion are involved in cardiac microvascular endothelial cell protection induced by glucagon receptor antagonism in diabetic mice 脂肪酸β‐氧化和线粒体融合参与胰高血糖素受体拮抗剂对糖尿病小鼠心脏微血管内皮细胞的保护作用

open access: yesJournal of Diabetes, Volume 15, Issue 12, Page 1081-1094, December 2023., 2023
Highlights Glucagon receptor (GCGR) monoclonal antibody (mAb) improves cardiac function and attenuates microvascular damage in db/db mice. GCGR mAb ameliorates the oxidative stress of cardiac microvascular endothelial cells in diabetic mice. GCGR mAb counteracts the diabetes‐induced upregulation of carnitine palmitoyltransferase 1B, optic atrophy type ...
Peng Wang   +6 more
wiley   +1 more source

The link between obesity and insulin resistance among children: Effects of key metabolites 儿童肥胖与胰岛素抵抗之间的联系:关键代谢产物的影响

open access: yesJournal of Diabetes, Volume 15, Issue 12, Page 1020-1028, December 2023., 2023
Highlights Childhood obesity was significantly associated with the increased risk of insulin resistance (IR). There were 12 metabolites co‐associated with childhood obesity and IR, including seven amino acid and five fatty acid metabolites. The combination of body mass index standard deviation score and key metabolites could effectively predict the ...
Wu Yan   +5 more
wiley   +1 more source

Development and validation of risk prediction models for large for gestational age infants using logistic regression and two machine learning algorithms 使用Logistic回归和两种机器学习算法开发和验证大于胎龄儿风险预测模型

open access: yesJournal of Diabetes, Volume 15, Issue 4, Page 338-348, April 2023., 2023
Highlights The logistic regression model consisted of seven commonly used clinical indicators (including lipid profile) and gestational diabetes mellitus subtypes, with an area under the curve (AUC) of 0.760 for the training set and 0.748 for the internal validation set.
Ning Wang   +11 more
wiley   +1 more source

Ceramide changes in abdominal subcutaneous and visceral adipose tissue among diabetic and nondiabetic patients 糖尿病和非糖尿病患者腹部皮下和内脏脂肪组织神经酰胺的变化

open access: yesJournal of Diabetes, Volume 14, Issue 4, Page 271-281, April 2022., 2022
Highlights The gender‐specific role of sphingolipids in obesity‐related metabolic dysfunctions is unclear. The aim of this study is to identify ceramide species by liquid chromatography‐mass spectrometry that accumulate in central fat in relation to status of diabetes and gender for subjects with a body mass index ≥40 kg/m2 or > 35 kg/m2 with ...
Michelle Brusatori   +7 more
wiley   +1 more source

Tree species richness differentially affects the chemical composition of leaves, roots and root exudates in four subtropical tree species

open access: yesJournal of Ecology, Volume 110, Issue 1, Page 97-116, January 2022., 2022
In the BEF‐China experiment, metabolomics samples were collected from four different species and three organs (a). The metabolomes are species and organ specific (b), and the metabolome specificity is attributed to different chemical classes (c). Tree species diversity affects the metabolome composition (d), but more controlled interaction experiments ...
Alexander Weinhold   +7 more
wiley   +1 more source

Prediction of the development of islet autoantibodies through integration of environmental, genetic, and metabolic markers 通过整合环境、遗传和代谢标记物预测胰岛自身抗体的发展

open access: yesJournal of Diabetes, Volume 13, Issue 2, Page 143-153, February 2021., 2021
Highlights A machine learning model can significantly predict imminent development of islet autoimmunity based on environmental, genetic, and metabolic features. The machine learning algorithm feature selection identified type 1 diabetes‐associated single nucleotide polymorphisms from The Environmental Determinants of the Diabetes in the Young (TEDDY ...
Bobbie‐Jo M. Webb‐Robertson   +10 more
wiley   +1 more source

Research Progress on Estimation of Postmortem Submersion Interval [PDF]

open access: yes, 2020
Postmortem interval (PMI) estimation is one of the most important and difficult academic tasks in forensic sciences. Due to the influence of the corpse itself and the water environment, corpses in water have unique corruption phenomenon and laws.
YUAN Hui-ya, ZHAO Rui, GAO Li-na, et al.
core   +1 more source

Research Progress in Components, Structure and Functions of Human Milk and Bovine Milk Fat Globules [PDF]

open access: yes, 2023
As an important nutrient in milk, fat exists in the form of milk fat globules. Cow’s milk is an important substitute for breast milk, but the difference between its milk fat globules and those of human milk remains to be clarified.
LI Xiaodong, YU Xiaoxue, LIU Lu, ZHANG Xiuxiu, JIA Zhibin, XU Yanling, BI Lianji
core   +1 more source

Regulation of high-fat diet-induced microglial metabolism by transient receptor potential vanilloid type 1 [PDF]

open access: yes, 2023
Objective·Transcriptomic and lipidomic analysis techniques were used to investigate the role of transient receptor potential vanilloid type 1 (TRPV1) channel activation in the regulation of high-fat diet-induced microglial metabolism.Methods·Eight-week ...
LU Jia   +3 more
core   +1 more source

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