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2 "Xing Li"
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Metabolic Risk/Epidemiology
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Kidney Gastrin/CCKBR Attenuates Type 2 Diabetes Mellitus by Inhibiting SGLT2-Mediated Glucose Reabsorption through Erk/NF-κB Signaling Pathway
Xue Zhang, Yuhan Zhang, Yang Shi, Dou Shi, Min Niu, Xue Liu, Xing Liu, Zhiwei Yang, Xianxian Wu
Received November 6, 2023  Accepted September 7, 2024  Published online December 24, 2024  
DOI: https://doi.org/10.4093/dmj.2023.0397    [Epub ahead of print]
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AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
Both sodium-glucose cotransporters (SGLTs) and Na+/H+ exchangers (NHEs) rely on a favorable Na-electrochemical gradient. Gastrin, through the cholecystokinin B receptor (CCKBR), can induce natriuresis and diuresis by inhibiting renal NHEs activity. The present study aims to unveil the role of renal CCKBR in diabetes through SGLT2-mediated glucose reabsorption.
Methods
Renal tubule-specific Cckbr-knockout (CckbrCKO) mice and wild-type (WT) mice were utilized to investigate the effect of renal CCKBR on SGLT2 and systemic glucose homeostasis under normal diet, high-fat diet (HFD), and HFD with a subsequent injection of a low dose of streptozotocin. The regulation of SGLT2 expression by gastrin/CCKBR and the underlying mechanism was explored using human kidney (HK)-2 cells.
Results
CCKBR was downregulated in kidneys of diabetic mice. Compared with WT mice, CckbrCKO mice exhibited a greater susceptibility to obesity and diabetes when subjected to HFD. In vitro experiments using HK-2 cells revealed an upregulation of glucose transporters after incubation with high glucose, a response that was significantly attenuated following gastrin intervention. The glucose uptake from the culture medium of cells was altered accordingly. Moreover, gastrin administration effectively mitigated hyperglycemia in WT diabetic mice by inhibition of SGLT2 mediated glucose reabsorption, but this effect was compromised in the absence of CCKBR, as seen in CckbrCKO mice. Mechanistically, gastrin/CCKBR substantially reduced SGLT2 expression in HK-2 cells exposed to high glucose, via modulating Erk/nuclear factor-kappa B (NF-κB) pathway.
Conclusion
Our study underscores the crucial role of renal gastrin/CCKBR in SGLT2 regulation and glucose reabsorption, and renal gastrin/CCKBR can be a promising therapeutic target for diabetes.
Type 1 Diabetes
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Identification of Key Genes and Pathways in Peripheral Blood Mononuclear Cells of Type 1 Diabetes Mellitus by Integrated Bioinformatics Analysis
Xing Li, Mingyu Liao, Jiangheng Guan, Ling Zhou, Rufei Shen, Min Long, Jiaqing Shao
Diabetes Metab J. 2022;46(3):451-463.   Published online April 1, 2022
DOI: https://doi.org/10.4093/dmj.2021.0018
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  • 7 Web of Science
  • 11 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
The onset and progression of type 1 diabetes mellitus (T1DM) is closely related to autoimmunity. Effective monitoring of the immune system and developing targeted therapies are frontier fields in T1DM treatment. Currently, the most available tissue that reflects the immune system is peripheral blood mononuclear cells (PBMCs). Thus, the aim of this study was to identify key PBMC biomarkers of T1DM.
Methods
Common differentially expressed genes (DEGs) were screened from the Gene Expression Omnibus (GEO) datasets GSE9006, GSE72377, and GSE55098, and PBMC mRNA expression in T1DM patients was compared with that in healthy participants by GEO2R. Gene Ontology, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway and protein-protein interaction (PPI) network analyses of DEGs were performed using the Cytoscape, DAVID, and STRING databases. The vital hub genes were validated by reverse transcription-polymerase chain reaction using clinical samples. The disease-gene-drug interaction network was built using the Comparative Toxicogenomics Database (CTD) and Drug Gene Interaction Database (DGIdb).
Results
We found that various biological functions or pathways related to the immune system and glucose metabolism changed in PBMCs from T1DM patients. In the PPI network, the DEGs of module 1 were significantly enriched in processes including inflammatory and immune responses and in pathways of proteoglycans in cancer. Moreover, we focused on four vital hub genes, namely, chitinase-3-like protein 1 (CHI3L1), C-X-C motif chemokine ligand 1 (CXCL1), matrix metallopeptidase 9 (MMP9), and granzyme B (GZMB), and confirmed them in clinical PBMC samples. Furthermore, the disease-gene-drug interaction network revealed the potential of key genes as reference markers in T1DM.
Conclusion
These results provide new insight into T1DM pathogenesis and novel biomarkers that could be widely representative reference indicators or potential therapeutic targets for clinical applications.

Citations

Citations to this article as recorded by  
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    Journal of Microbiology, Immunology and Infection.2025;[Epub]     CrossRef
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    PeerJ.2025; 13: e18660.     CrossRef
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    BioMed Research International.2023;[Epub]     CrossRef
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    BioDrugs.2023; 37(3): 331.     CrossRef
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    Journal of Infection and Chemotherapy.2023; 29(11): 1046.     CrossRef
  • Probing biological network in concurrent carcinomas and Type-2 diabetes for potential biomarker screening: An advanced computational paradigm
    Abdullah Al Marzan, Shatila Shahi, Md Sakil Arman, Md Zafrul Hasan, Ajit Ghosh
    Advances in Biomarker Sciences and Technology.2023; 5: 89.     CrossRef
  • Transcriptional analysis of human peripheral blood mononuclear cells stimulated by Mycobacterium tuberculosis antigen
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    Frontiers in Cellular and Infection Microbiology.2023;[Epub]     CrossRef
  • Combining bioinformatics and machine learning algorithms to identify and analyze shared biomarkers and pathways in COVID-19 convalescence and diabetes mellitus
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    Frontiers in Endocrinology.2023;[Epub]     CrossRef
  • Transcriptome analysis of peripheral blood mononuclear cells in patients with type 1 diabetes mellitus
    Zhaoxiang Wang, Li Zhang, Fengyan Tang, Zhongming Yang, Mengzhu Wang, Jue Jia, Dong Wang, Ling Yang, Shao Zhong, Guoyue Yuan
    Endocrine.2022; 78(2): 270.     CrossRef

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