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. 2024 Feb 15:15:1370708.
doi: 10.3389/fphar.2024.1370708. eCollection 2024.

Identification of claudin-2 as a promising biomarker for early diagnosis of pre-diabetes

Affiliations

Identification of claudin-2 as a promising biomarker for early diagnosis of pre-diabetes

Yang Songtao et al. Front Pharmacol. .

Abstract

Introduction: Pre-diabetes, a high-risk metabolic state, is situated between normal glucose homeostasis and diabetes. Early identification of pre-diabetes offers opportunities for intervention and diabetes reversal, highlighting the crucial need to investigate reliable biomarkers for this condition. Methods: We conducted an in-depth bioinformatics analysis of clinical samples from non-diabetic (ND), impaired glucose tolerance (IGT), and type 2 diabetes mellitus (T2DM) categories within the GSE164416 dataset. Thereafter the HFD and STZ treated mice were used for validation. Results: This analysis identified several codifferentially expressed genes (Co-DEGs) for IGT and T2DM, including CFB, TSHR, VNN2, APOC1, CLDN2, SLPI, LCN2, CXCL17, FAIM2, and REG3A. Validation of these genes and the determination of ROC curves were performed using the GSE76895 dataset. Thereafter, CLDN2 was selected for further verification. Gene expression analysis and immunofluorescence analysis revealed a significant upregulation of CLDN2 expression in the pancreas islets of mice in the high-fat diet and T2DM groups compared to the control group. Similarly, serum level of CLDN2 in patients with IGT and T2DM were significantly higher than those in the healthy group. Discussion: These results suggest that CLDN2 can serve as a novel biomarker for pre-diabetes, providing a new direction for future research in the prevention of type 2 diabetes.

Keywords: biomarker; claudin-2; diabetes; impaired glucose tolerance; pre diabetes.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

FIGURE 1
FIGURE 1
Volcano map (A, C) and heat map (B, D) of DEGs for IGT and T2DM.
FIGURE 2
FIGURE 2
Go of DEGs (A, C) and KEGG of DEGs (B, D) for IGT and T2DM.
FIGURE 3
FIGURE 3
Validation of hub genes: GO of DEGs (A) and KEGG of DEGs (B) for T2DM; (C) CLDN2 expression in GSE76895; and (D) ROC curves of the CLDN2 gene in GSE76895.
FIGURE 4
FIGURE 4
Validation of the Establishment of Mouse Models of Pre-diabetes and T2DM. Fasting blood glucose (A), IPITT (B), IPGTT (C) and Body weight (D) of mice in SD, HFD and STZ group. (B, C) *p < 0.05, **p < 0.01, ***p < 0.001 in SD vs. HFD; #p < 0.05, ##p < 0.01, ###p < 0.001 in SD vs. STZ; &p < 0.05, &&p < 0.01, &&&p < 0.001 in HFD vs. STZ. (E) Representative immunofluorescent images of insulin and glucagon in the pancreatic islets. Bar = 50 nm.
FIGURE 5
FIGURE 5
The expression level of CLDN2 in pancreatic islets of pre-diabetes and T2DM mouse models. (A) CLDN2 expression was determined using real-time quantitative RT-PCR (***p < 0.001) (B) Western blot showing the overexpression of CLDN2 in both HFD and STZ mice. (C) Representative immunofluorescent images of insulin and CLDN2 in the pancreatic islets. Bar = 50 nm.
FIGURE 6
FIGURE 6
Comparison of serum IL1β (A) and TNFα (B) level among the IGT group, the T2DM group, and the control (*p < 0.05, **p < 0.01, ***p < 0.001).

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