Proteomics

Dataset Information

0

Differential regulation of metabolome and proteome of plasma and CM EVs in HC


ABSTRACT: Extracellular vesicles (EV) are cell-secreted, nano-sized membrane particles with various molecular cargo, including metabolites, proteins and nucleic acids [1] . EVs are involved in various physiological and pathological functions, including that of the myocardium [2] , such as cardiac stress adaptation mechanisms [3] . Metabolic co-morbidities can ameliorate the innate stress response of the heart [4], [5] . Furthermore, one of the most common metabolic co-morbidities, type-II diabetes, can inhibit EV- mediated cardioprotection [6] . EVs of high-fat fed animals can also exacerbate ischemic cardiac damage and induce cell death of cardiomyocytes (CM) [7], [8] . Therefore, metabolic diseases might interfere with the effect of cardiac EVs by various mechanisms. However, as of now, little is known about the effect of hypercholesterolemia (HC) on cardiovascular EV communication. Analyzing EVs of the circulation might lead to novel diagnostic tools and to better understanding of disease conditions. As of now it is evidenced that circulating EV number is increased in metabolic diseases [9]–[11] , including familiar hypercholesterolemia [12], [13] , in which their amount is associated with the risk of cardiovascular diseases [14], [15] as well. However, to understand the biological role of EV-related changes in cardiometabolic diseases, characterization of EV composition is needed. The main molecular constituents of EVs are membrane lipids and other metabolites, intravesicular and transmembrane proteins and nucleotides. Change in any of these constituents may result in an altered biological response. Barrachina et. al. has analyzed the dysregulated protein composition of circulating EVs in obesity [16] and in a similar study, miRNA cargo of EVs from obese patients was analyzed, as well [17] , however, it has not been assessed if HC alters EV metabolome, thus, function. EVs contribute to response to various stresses in the myocardium [18] , but as of now, we do not know HC influences EV release of CMs. One of the major effects of HC is cardiac- and systemic inflammation [19] . Earlier studies showed in various disease conditions, such as angiotensin II-induced hypertrophy, that CM EVs activate monocytes, thereby contribute to inflammation [20], [21] . In contrast, in hypoxic conditions, EVs promote macrophage polarization to the reparative M2 phenotype [22], [23] . Thus, we hypothesized that CM EVs might play a role in HC-induced cardiac inflammation. In this study, we aimed to analyze how HC affects the metabolic composition of EVs and how HC modifies CM EV communication. Therefore, we have analyzed the metabolome of circulating EVs of HC- fed rats and compared the identified changes to the plasma metabolome. In addition, for the first time, we assessed how HC affects the biophysical and biochemical properties of CM EVs and we analyzed their role in immune activation.

INSTRUMENT(S): timsTOF Pro

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Cell Culture, Cardiac Muscle Cell

DISEASE(S): Familial Hypercholesterolemia

SUBMITTER: Kieran Wynne  

LAB HEAD: Prof Zoltán Giricz

PROVIDER: PXD044594 | Pride | 2024-06-16

REPOSITORIES: Pride

Dataset's files

Source:
Action DRS
221022kw_CK_EV10_S3-A3_1_15753.d.zip Other
221022kw_CK_EV10_S3-A4_1_15754.d.zip Other
221022kw_CK_EV11_S3-A5_1_15755.d.zip Other
221022kw_CK_EV11_S3-A6_1_15756.d.zip Other
221022kw_CK_EV12_S3-A7_1_15757.d.zip Other
Items per page:
1 - 5 of 44
altmetric image

Publications


Hypercholesterolemia (HC) induces, propagates and exacerbates cardiovascular diseases via various mechanisms that are yet not properly understood. Extracellular vesicles (EVs) are involved in the pathomechanism of these diseases. To understand how circulating or cardiac-derived EVs could affect myocardial functions, we analyzed the metabolomic profile of circulating EVs, and we performed an in-depth analysis of cardiomyocyte (CM)-derived EVs in HC. Circulating EVs were isolated with Vezics techn  ...[more]

Similar Datasets

2024-10-02 | E-MTAB-13966 | biostudies-arrayexpress
2022-06-01 | GSE179323 | GEO
2020-07-12 | GSE143189 | GEO
2013-06-19 | E-GEOD-47897 | biostudies-arrayexpress
2016-06-15 | E-GEOD-76173 | biostudies-arrayexpress
2023-04-03 | E-MTAB-11641 | biostudies-arrayexpress
2016-10-05 | E-MTAB-4560 | biostudies-arrayexpress
2016-05-29 | E-GEOD-69401 | biostudies-arrayexpress
2014-10-28 | E-GEOD-56172 | biostudies-arrayexpress
2022-04-04 | PXD030325 | Pride