Dataset Information

Selective Regulation of Macrophage Lipid Metabolism via Nanomaterials’ Surface Chemistry

ABSTRACT: Understanding the interfacial structure between nanomaterials and lipoproteins is crucial for gaining profound insights into how nanomaterials impact lipoprotein structure and interfere with lipid metabolism. In this study, we employed graphene oxide (GO) nanosheets (NSs) with precisely controlled surface hydrophilicity as model nanomaterials to investigate the influence of surface properties on lipoprotein corona formation. Our findings reveal that hydrophobic GOs exhibit a greater affinity for binding with low-density lipoprotein (LDL). To explore the interaction between GOs and LDL at the interface, we employed advanced techniques such as X-ray reflectivity, circular dichroism, and molecular simulation. Specifically, hydrophobic GOs showed a preference for associating with the lipid components of LDL, while hydrophilic ones tended to bind with apolipoproteins. Furthermore, our research demonstrated that these GOs distinctly modulate various lipid metabolism pathways, including LDL recognition, uptake, hydrolysis, efflux, and lipid droplet formation. This comprehensive investigation underscores the significance of structural analysis at the nano-biomolecule interface and emphasizes the critical role of nanomaterial’s surface properties in mediating cellular lipid metabolism. Our findings carry profound implications and can serve as a source of inspiration for the future design of biocompatible nanomaterials and nanomedicines.

INSTRUMENT(S): Orbitrap Fusion Lumos

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Blood Serum

SUBMITTER: Liming Wang

LAB HEAD: Chunying Chen

PROVIDER: PXD044475 | Pride | 2025-05-06

REPOSITORIES: Pride

ACCESS DATA

Dataset's files

Source:

Items per page:

1 - 5 of 14

Publications

Selective regulation of macrophage lipid metabolism via nanomaterials' surface chemistry.

Wu Junguang J Bai Xuan X Yan Liang L Baimanov Didar D Cong Yalin Y Quan Peiyu P Cai Rui R Guan Yong Y Bu Wei W Lin Binhua B Wang Jing J Yu Shengtao S Li Shijiao S Chong Yu Y Li Yang Y Hu Guoqing G Zhao Yuliang Y Chen Chunying C Wang Liming L

Nature communications 20240927 1

Understanding the interface between nanomaterials and lipoproteins is crucial for gaining insights into their impact on lipoprotein structure and lipid metabolism. Here, we use graphene oxide (GOs) nanosheets as a controlled carbon nanomaterial model to study how surface properties influence lipoprotein corona formation and show that GOs have strong binding affinity with low-density lipoprotein (LDL). We use advanced techniques including X-ray reflectivity, circular dichroism, and molecular simu ...[more]

PMID: 39333092

Similar Datasets

Project description:McAuley2012 - Whole-body Cholesterol Metabolism Lipid metabolism has a key role to play in human longevity and healthy aging. A whole-body mathematical model of cholesterol metabolism that explores the changes in both the rate of intestinal cholesterol absorption and the hepatic rate of clearance of LDL-C from the plasma, has been presented here. The model showed that of these two mechanisms, changes to the rate of LDL-C removal from the plasma with age had the most significant effect on cholesterol metabolism. The original SBML model file was generated using MathSBML 2.5.1. This model is described in the article: A whole-body mathematical model of cholesterol metabolism and its age-associated dysregulation. Mc Auley MM, Wilkinson DJ, Jones JJ, Kirkwood TT. BMC Syst Biol. 2012 Oct 10;6(1):130. Abstract: BACKGROUND: Global demographic changes have stimulated marked interest in the process of ageing. There has been, and will continue to be, an unrelenting rise in the number of the oldest old ( >85 years of age). Together with an ageing population there comes an increase in the prevalence of age related disease. Of the diseases of ageing, cardiovascular disease (CVD) has by far the highest prevalence. It is regarded that a finely tuned lipid profile may help to prevent CVD as there is a long established relationship between alterations to lipid metabolism and CVD risk. In fact elevated plasma cholesterol, particularly Low Density Lipoprotein Cholesterol (LDL-C) has consistently stood out as a risk factor for having a cardiovascular event. Moreover it is widely acknowledged that LDL-C may rise with age in both sexes in a wide variety of groups. The aim of this work was to use a whole-body mathematical model to investigate why LDL-C rises with age, and to test the hypothesis that mechanistic changes to cholesterol absorption and LDL-C removal from the plasma are responsible for the rise. The whole-body mechanistic nature of the model differs from previous models of cholesterol metabolism which have either focused on intracellular cholesterol homeostasis or have concentrated on an isolated area of lipoprotein dynamics. The model integrates both current and previously published data relating to molecular biology, physiology, ageing and nutrition in an integrated fashion. RESULTS: The model was used to test the hypothesis that alterations to the rate of cholesterol absorption and changes to the rate of removal of LDL-C from the plasma are integral to understanding why LDL-C rises with age. The model demonstrates that increasing the rate of intestinal cholesterol absorption from 50% to 80% by age 65 years can result in an increase of LDL-C by as much as 34mg/dL in a hypothetical male subject. The model also shows that decreasing the rate of hepatic clearance of LDL-C gradually to 50% by age 65 years can result in an increase of LDL-C by as much as 116mg/dL. CONCLUSIONS: Our model clearly demonstrates that of the two putative mechanisms that have been implicated in the dysregulation of cholesterol metabolism with age, alterations to the removal rate of plasma LDL-C has the most significant impact on cholesterol metabolism and small changes to the number of hepatic LDL receptors can result in a significant rise in LDL-C. This first whole-body systems based model of cholesterol balance could potentially be used as a tool to further improve our understanding of whole-body cholesterol metabolism and its dysregulation with age. Furthermore, given further fine tuning the model may help to investigate potential dietary and lifestyle regimes that have the potential to mitigate the effects aging has on cholesterol metabolism. This model is hosted on BioModels Database and identified by: MODEL1206010000 . To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models . To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.

			Action	DRS
	20220011.mzTab	Mztab
	20220011_3_1.raw	Raw
	20220011_3_2.raw	Raw
	20220011_3_3.raw	Raw
	20220011_5_1.raw	Raw