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Unraveling adipose tissue proteomic landscapes in severe obesity: insights into metabolic complications and potential biomarkers

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00843989%3A_____%2F23%3AE0110489" target="_blank" >RIV/00843989:_____/23:E0110489 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216224:14110/23:00132473 RIV/61988987:17110/23:A2402NXW

  • Result on the web

    <a href="https://journals.physiology.org/doi/full/10.1152/ajpendo.00153.2023" target="_blank" >https://journals.physiology.org/doi/full/10.1152/ajpendo.00153.2023</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1152/ajpendo.00153.2023" target="_blank" >10.1152/ajpendo.00153.2023</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Unraveling adipose tissue proteomic landscapes in severe obesity: insights into metabolic complications and potential biomarkers

  • Original language description

    In this study, we aimed to comprehensively characterize the proteomic landscapes of subcutaneous adipose tissue (SAT) and visceral adipose tissue (VAT) in patients with severe obesity, to establish their associations with clinical characteristics, and to identify potential serum protein biomarkers indicative of tissue-specific alterations or metabolic states. We conducted a cross-sectional analysis of 32 patients with severe obesity (16 males and 16 females) of Central European descent who underwent bariatric surgery. Clinical parameters and body composition were assessed using dual-energy X-ray absorptiometry (DXA) and bioelectrical impedance, with 15 patients diagnosed with type 2 diabetes (T2D) and 17 with hypertension. Paired SAT and VAT samples, along with serum samples, were subjected to state-of-the-art proteomics liquid chromatography-mass spectrometry (LC-MS). Our analysis identified 7,284 proteins across SAT and VAT, with 1,249 differentially expressed proteins between the tissues and 1,206 proteins identified in serum. Correlation analyses between differential protein expression and clinical traits suggest a significant role of SAT in the pathogenesis of obesity and related metabolic complications. Specifically, the SAT proteomic profile revealed marked alterations in metabolic pathways and processes contributing to tissue fibrosis and inflammation. Although we do not establish a definitive causal relationship, it appears that VAT might respond to SAT metabolic dysfunction by potentially enhancing mitochondrial activity and expanding its capacity. However, when this adaptive response is exceeded, it could possibly contribute to insulin resistance (IR) and in some cases, it may be associated with the progression to T2D. Our findings provide critical insights into the molecular foundations of SAT and VAT in obesity and may inform the development of targeted therapeutic strategies.NEW &amp; NOTEWORTHY This study provides insights into distinct proteomic prof

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    30202 - Endocrinology and metabolism (including diabetes, hormones)

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Others

  • Publication year

    2023

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    American journal of physiology. Endocrinology and metabolism

  • ISSN

    0193-1849

  • e-ISSN

    1522-1555

  • Volume of the periodical

    325

  • Issue of the periodical within the volume

    5

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    1

  • Pages from-to

    e562-e580

  • UT code for WoS article

    001104868800001

  • EID of the result in the Scopus database

    2-s2.0-85175878726