Journal of Medical Molecular Biology ›› 2025, Vol. 22 ›› Issue (2): 131-138.doi: 10.3870/j.issn.1672-8009.2025.02.005

Previous Articles     Next Articles

Multi-omics Analysis and Validation of a Mouse Model of Diabetes Mellitus with Behavioral Abnormalities Based on High-throughput Mass Spectrometry #br#

  

  1. 1Department of Endocrinology, the Affiliated Taizhou Peoples Hospital of Nanjing Medical University, Taizhou, Jiangsu, 225300, China 2Department of Endocrinology, Zhongda Hospital, Southeast University, Nanjing, 210000, China  3School of Medicine, Southeast University, Nanjing, 210000, China 4Department of Endocrinology, the First Affiliated Hospital of University of Science and Technology of China, Hefei, 230001, China
  • Online:2025-03-31 Published:2025-05-06

Abstract: Objective To screen and verify the differentially expressed protein and the metabolites in a mouse model of type 2 diabetes mellitus with cognitive behavior abnormalities by highthroughput mass spectrometry. Methods High-throughput mass spectrometry was used to detect thelevels of hippocampal tissue protein expression and serum metabolites in the DB group ( abnormal cognitive behavior group) and the M group (normal cognitive behavior group). Target proteins and metabolites were screened out by bioinformatics and were then verified through Western blotting andELISA. Results ① 45 proteins and 119 positive ion-and 110 negative ion-metabolites were found tobe significantly expressed, and KEGG analysis showed that the differentially expressed genes were enriched in multiple metabolic pathways. ② Correlation analysis showed that serotonin-containing synapses and purine metabolism pathways were pathways co-enriched by multi-omics analysis. ③ pyruvate kinase L / R ( PKLR )、 arachidonic acid ( AA ) and adenosine 5′-monophosphate, (AMP) were differentially expressed. Conclusion PKLR, AA and AMP may be used as potentialbiomarkers for the diagnosis of type 2 diabetes mellitus with cognitive dysfunction.

Key words: type 2 diabetes, db / db mice, cognitive impairment, multi-omics

CLC Number: