Accession PRJCA023404
Title Multiomics depicting the immunometabolism landscape of steatotic livers undergoing bariatric surgery and diet intervention
Relevance Medical
Data types Spatial metabolomics
Organisms Rodentia
Description Metabolic dysfunction-associated steatotic liver disease (MASLD) is a highly prevalent chronic liver disease worldwide that encompasses a spectrum of steatosis, inflammation, and fibrosis. Evidence suggests that weight loss approaches such as dietary intervention (DI) and bariatric surgery (BS) can lead to remission of hepatic steatosis and inflammation. However, it remains unclear about the effects of weight loss on the hepatic immune mechanisms in MASLD. Therefore, this study aims to elucidate the intricate immunometabolic landscape of steatotic livers following DI and BS by employinh the sleeve gastrectomy (a typical BS procedure) and comparable food intake after sham surgery in a rat model of MASLD. Single-cell (sc) and single-nuclei (sn) transcriptome analysis together with spatial metabolomics and immunohistochemistry were utilized to depict immunometabolic landscape, while circulating markers were assessed in serum. Furthermore, artificial intelligence (AI)-based image analysis was introduced to characterize the distribution of hepatocytes, myeloid cells and lymphocytes.
Sample scope Monoisolate
Release date 2024-05-30
Publication
PubMed ID Article title Journal name DOI Year
Multiomics analyses decipher intricate changes in the cellular and metabolic landscape of steatotic livers upon dietary restriction and sleeve gastrectomy bioRxiv 10.1101/2024.04.10.588826 2024
39247824 Multiomics analyses decipher intricate changes in the cellular and metabolic landscape of steatotic livers upon dietary restriction and sleeve gastrectomy International Journal Of Biological Sciences 10.7150/ijbs.98362 2024
Grants
Agency program Grant ID Grant title
National Natural Science Foundation of China (NSFC) Young Scientists Fund 82300730
Submitter Hanyang Liu (brandenliu@live.com)
Organization The Affiliated Changzhou Second People's Hospital of Nanjing Medical University
Submission date 2024-02-02

Project Data

Resource name Description