Results 1 to 10 of about 10,449 (111)

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

不同体长南极磷虾的脂质组成差异分析Comparative analysis of the lipid compositions of Antarctic krill (Euphausia superba) with different body lengths

open access: yesZhongguo youzhi, 2022
旨在为南极磷虾渔业捕捞以及陆基精准加工利用提供科学指导,研究了不同体长南极磷虾的脂质组成差异。以脂质含量、甘油酯含量、磷脂含量、胆固醇含量、游离脂肪酸含量、磷脂组成和脂肪酸组成为评价指标,结合多元统计分析技术比较不同体长(<30 mm、30~40 mm、40~50 mm、>50 mm)南极磷虾脂质组成的差异。结果显示:不同体长南极磷虾脂质含量占干基的(17.57±2.43)%~(24.35±0.31)%;甘油酯和磷脂是主要的脂质组分,分别占脂质的(41.40±1.22)%~(43.54±2.02)%和 ...
李雅婷1,2,刘小芳2,姜维1,王新良2,应一平2,冷凯良2,3 LI Yating1,2, LIU Xiaofang2, JIANG Wei1, WANG Xinliang2, YING Yiping2, LENG Kailiang2,3
doaj   +1 more source

脂质组学在皮肤病学中的应用进展

open access: yesZhongguo shiyan zhenduanxue, 2023
脂质不仅作为生物膜组成的一部分,且作为能量来源以及具有信号分子功能,随着生理、病理和环境条件的变化而不断变化[1]。脂质谱的改变可影响多种疾病的发生发展,包括各种代谢性疾病、心血管疾病、癌症及神经退行性变等。脂质组学是一门通过系统全面分析生物样品中的脂质以及与其相互作用的分子,进而揭示脂质在生命活动过程中的代谢调控过程的分支科学。在皮肤病学研究中,脂质对于维持皮肤屏障功能及调控细胞增殖分化具有重要作用,进而影响皮肤疾病的发生发展,
梁毅敏, 邵蕾, 张淑娟, 刘玉梅
doaj  

高原地区器官剂量调制技术在CT平扫中对女性盆腔的保护价值及对图像质量的影响

open access: yesZhongguo shiyan zhenduanxue, 2022
目的 探讨高原地区器官剂量调制(ODM)技术在女性盆腔CT平扫中对性腺区辐射剂量和图像质量的影响。方法 收集临床需要行盆腔CT平扫检查的女性患者200例,随机分为实验组和对照组。对照组100例,采用常规盆腔CT平扫,实验组100例,开启ODM技术进行盆腔CT扫描,记录患者性腺区域前、左、后、右4个方向管电流、平均管电流、容积CT剂量指数(CTDIvol)、剂量长度乘积(DLP),并计算有效剂量(ED)。由两位资深影像科医师采用5分法对两组CT图像质量进行主观评分 ...
杨谨瑞   +4 more
doaj  

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