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Plasma inflammatory proteome profiles identify MASLD among children with overweight or obesity.

Youxin Wang | Daniel Q Huang | Pingping Zhang | Mingyue Wang | Yuying Wu | Enkar Nur | Li Li | Hui Wang
Cardiovascular diabetology | 2025

Pediatric metabolic dysfunction-associated steatotic liver disease (MASLD) is increasingly prevalent among children with overweight or obesity, yet its early diagnosis remains a major clinical challenge. This study aimed to identify circulating inflammatory proteins associated with MASLD and to develop a proteomic risk score (ProScore) to improve diagnostic accuracy.

Pubmed ID: 41310718

Research resources used in this publication

None found

Antibodies used in this publication

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Associated grants

  • Agency: Program of China Scholarship Council in National University of Singapore,
    Id: 202406010169
  • Agency: Medical Health Science and Technology Project of Zhejiang Province,
    Id: 2025KY1315
  • Agency: Major Science and Technology Projects for Health of Zhejiang Province,
    Id: WKJ-ZJ-2216
  • Agency: Zhejiang Provincial Natural Science Foundation of China,
    Id: LTGY24H260007
  • Agency: Cyrus Tang Foundation,
    Id: 2022-B126

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Gene Ontology (tool)

RRID:SCR_002811

Computable knowledge regarding functions of genes and gene products. GO resources include biomedical ontologies that cover molecular domains of all life forms as well as extensive compilations of gene product annotations to these ontologies that provide largely species-neutral, comprehensive statements about what gene products do. Used to standardize representation of gene and gene product attributes across species and databases.

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KEGG (tool)

RRID:SCR_012773

Integrated database resource consisting of 16 main databases, broadly categorized into systems information, genomic information, and chemical information. In particular, gene catalogs in completely sequenced genomes are linked to higher-level systemic functions of cell, organism, and ecosystem. Analysis tools are also available. KEGG may be used as reference knowledge base for biological interpretation of large-scale datasets generated by sequencing and other high-throughput experimental technologies.

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Reactome Knowledgebase (tool)

RRID:SCR_023504

Open source relational database of signaling and metabolic molecules and their relations organized into biological pathways and processes. Core unit of Reactome data model is the reaction. Entities (nucleic acids, proteins, complexes, vaccines, anti-cancer therapeutics and small molecules) participating in reactions form network of biological interactions and are grouped into pathways including classical intermediary metabolism, signaling, transcriptional regulation, apoptosis and disease. External domain expert provides expertise, curator formalizes it into database structure, and external domain expert reviews representation. System of evidence tracking ensures that all assertions are backed up by primary literature. Website is designed to give the user graphical map of known biological processes and pathways that is also an interface. Database and website enable to find, organize, and utilize biological information to support data visualization, integration and analysis.

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