| Literature DB >> 35294398 |
Zhandong Lei1,2, Yunfei Chen1, Jin Wang1, Yan Zhang1, Wenjuan Shi1, Xuejiao Wang1, Dehai Xing1, Dongxue Li1, Xiangying Jiao1.
Abstract
Elucidating the mechanisms of regulation of β-cell proliferation is key to understanding the pathogenesis of diabetes mellitus. Txnip is a tumor suppressor that is upregulated in diabetes and plays an important role in the regulation of insulin sensitivity; however, its potential effect on pancreatic β-cell proliferation remains unclear. Here, we evaluated the role of Txnip in pancreatic β-cell compensatory proliferation by subjecting WT and Txnip knockout (KO) mice to a high-fat diet (HFD). Our results demonstrate that Txnip deficiency improves glucose tolerance and increases insulin sensitivity in HFD-induced obesity. The antidiabetogenic effect of Txnip deficiency was accompanied by increased β-cell proliferation and enhanced β-cell mass expansion. Furthermore, Txnip deficiency modulated the expression of a set of transcription factors with key roles in β-cell proliferation and cell cycle regulation. Txnip KO in HFD mice also led to activated levels of p-PI3K, p-AKT, p-mTOR and p-GSK3β, suggesting that Txnip may act via PI3K/AKT signaling to suppress β-cell proliferation. Thus, our work provides a theoretical basis for Txnip as a new therapeutic target for the treatment of diabetes mellitus.Entities:
Keywords: PI3K/AKT signaling pathway; Txnip; pancreatic β cell; proliferation
Year: 2022 PMID: 35294398 PMCID: PMC9066588 DOI: 10.1530/EC-21-0641
Source DB: PubMed Journal: Endocr Connect ISSN: 2049-3614 Impact factor: 3.335
Primer sequences.
| Gene | Primer sequences |
|---|---|
| β-actin | F: 5’CACTATTGGCAACGAGCGGTTCCG3’ |
| R: 5’ACGGATGTCAACGTCACACT3’ | |
| F: 5’CAAGGGTCTCAGCAGTGCAAAC3’ | |
| R: 5’AAGCTCGAAGCCGAACTTGTACTC3’ | |
| F: 5’GTGTCAAACAAACTTGAATCTGTGG3’, | |
| R: 5’TCTGCAGATGCATCAAACTTGG3’ | |
| F: 5’GAGAGCTTGGCAATGGGAACA3’, | |
| R: 5’CAGAGCAAACGTTAGGTGAACAGG3’; | |
| F: 5’GCCCGGGTGTAGGCAGTAC3’ | |
| R: 5’CAGTGGGCAGGAGGTGCTTA3’ | |
| F: 5’GGAGGTCATCCGACTGAAACA3’ | |
| R: 5’GCACCTCTCGCTCTCCAGAAT3’ | |
| F: 5’TGAGCTAGAGGGAGGAAGGA3’ | |
| R: 5’CCGGGTTTCTCTAACTCTGC3’ | |
| F: 5’GAGAAGAGGCTCACCCTGTC3’ | |
| R: 5’ACAGATTGTGGCGAATTGAA3’ | |
| F: 5’CACTTGGATTGAGGACCACTT3’ | |
| R: 5’GTCGTTTCTGCTGTGATTCC3’ | |
| F: 5’AGAGAGCACGCTTGGCCTATTC3’ | |
| R: 5’GTCGTCAGAGTTCGGGTCCAG3’ | |
| F: 5’TCAACATGGCCCTGTGGAT3’ | |
| R: 5’AAAGGTGCTGCTTGAAAAAGC3’ | |
| F: 5’CTCGTGGCGCTGATGCT3’ | |
| R: 5’CTGGTTGAATAGTAAAATATCCCATTGA3’ | |
| F: 5’TTGGCTGCACCAACAGTAAATCA3’ | |
| R: 5’ACGGGTCAGCATCTATCAAACTCA3’ | |
| F: 5’CATGCTGGACTACGACATGGTG3’ | |
| R: 5’ACATTCTTAGCCAGGTGCTGCATA3’ | |
| F: 5’GCGTACCCTGACACCAATCTC3’ | |
| R: 5’CTCCTCTTCGCACTTCTGCTC3’ | |
| F: 5’GGCTAAGACAGGGTGGCTTTCA3’ | |
| R: 5’GATTGCTACCTCCAGTTCCCACA3’ | |
| F: 5’TGATCGTTACATGGCATCACAA3’ | |
| R: 5’GCGCCATCTGTAACATAAGCAA3’ | |
| F: 5’GGACTAGCAAGAGCCTTTGG3’ | |
| R: 5’AAGAATTTCAGGTGCTCGGT3’ | |
| F: 5’ACATGTGGAGCGTTGGCTGTA3’ | |
| R: 5’CAACTGGTCGGCTTCAGAGTTTC3’ | |
| F: 5’CGTGAACATGTTGTTGAGGCTAGAG3’ | |
| R: 5’ATCTGCACCGTAGTTGAGCAGAAG3’ | |
| F: 5’AGTCTCATGGTGTGGTGGAA3’ | |
| R: 5’GACATCACCAGGATTGGACA3’ | |
| F: 5’AGTGTCCAGGGATGAGGAAG3’ | |
| R: 5’CTTCTGTTCTGTTGGCCCTT3’ | |
| F: 5’AATCAGCCAGCCTTCGAC3’ | |
| R: 5’ATCACTGGGAAGGTATCGCT3’ | |
| F: 5’CCCAACACATGCTTTGAACTGA3’ | |
| R: 5’TGGGTTGTACTGTACTAGGGTCCTC3’ |
Antibodies used for Western blot analysis.
| Antibody | Catalog no. | Company | Dilution ratio |
|---|---|---|---|
| TXNIP | ab188865 | Abcam | 1:2000 |
| Cyclin D2 | ab230883 | Abcam | 1:2000 |
| CDK4 | ab137675 | Abcam | 1:3000 |
| p27 | ab92741 | Abcam | 1:5000 |
| p-PI3K | 17366s | CST | 1:1000 |
| PI3K | 4292s | CST | 1:1000 |
| p-AKT | 9271s | CST | 1:1000 |
| AKT | 9272s | CST | 1:1000 |
| p-mTOR | 5536s | CST | 1:1000 |
| mTOR | 2983s | CST | 1:1000 |
| p-GSK3β | 5558s | CST | 1:1000 |
| GSK3β | 9315s | CST | 1:1000 |
| β-actin | AP0060 | Bioworld | 1:10,000 |
Figure 1Txnip deficiency and HFD accelerate the accumulation of β-cell mass. (A) The protein expression levels of TXNIP (n = 3). (B) The mRNA expression levels of Txnip (n = 3). (C) WT and Txnip knockout (KO) mice were fed normal chow diet (NC) or high-fat diet (HFD) starting at 4 weeks of age and continuing for 12 weeks. The mice were weighed weekly. **Significant difference in weight gain for WT-HFD vs KO-HFD mice. No significant differences were observed for the WT and KO groups of mice (n= 10). (D) The ratios of pancreas/body weight after 12 weeks. **Significant difference for KO-HFD vs WT-HFD mice. No significant differences were observed between the other three groups (n= 6). (E) Immunohistochemical staining of pancreatic tissue for insulin. The islet numbers and sizes were increased in KO-HFD mice. Scale bars, 1 mm (upper) and 0.5 mm (lower). (F) The β-cell mass in the four groups of mice. The β-cell mass was significantly greater in KO-HFD vs WT-HFD mice, while there were no significant differences between the WT and KO groups (n = 5). NS, not significant, *P < 0.05, **P < 0.01.
Figure 2Txnip knockout increases insulin secretion, decreases fasting blood glucose and improves glucose tolerance and insulin sensitivity. (A) Bio-Plex assays showing serum insulin levels in four groups of mice. The serum insulin levels were significantly higher in HFD mice. Additionally, the serum insulin levels were higher in KO-HFD vs WT-HFD mice (n = 6). (B) Fasting blood glucose levels. The levels were significantly higher in HFD mouse groups. Additionally, the fasting blood glucose levels were lower in Txnip knockout vs WT mouse groups (n = 6). (C) Double immunofluorescence staining of insulin/glucagon. The number of pancreatic 𝛼 cells was higher in HFD mice, but there was no apparent difference between Txnip knockout and WT mice. Scale bar, 50 μm. (D) The glucagon levels were lower in KO-HFD vs WT-HFD mice (n = 6). (E) Oral glucose tolerance test (OGTT) showing changes in blood glucose levels. (F) The area under the curve (AUC) was calculated for the OGTT (n = 6). (G) Insulin tolerance test (ITT) showing changes in blood glucose levels. (H) The AUC of ITT is shown (n = 6). NS, not significant, *P < 0.05, **P < 0.01.
Figure 3Txnip deficiency and HFD feeding lead to increased β-cell accumulation. (A) Double immunofluorescence staining of insulin and Ki67. Scale bar, 50 μm. (B) The percentage of Ki67 cells. The Ki67 positive cells number was increased by HFD and was significantly greater in KO-HFD vs WT-HFD mice. NS, no significant difference in WT vs KO mice(n = 3). (C) The mRNA expression levels of Ki67 were significantly higher in KO-HFD vs WT-HFD mice. NS, no significant difference in WT vs KO mice (n = 3). (D) Double immunofluorescence staining of insulin and Pcna. The Pcna-positive cell number was increased by HFD and was significantly greater in KO-HFD vs WT-HFD mice. NS, no significant difference in WT vs KO mice. Scale bar, 50 μm. (E) The percentage of Pcna cells (n = 3). (F) The mRNA expression levels of Pcna were significantly higher in KO-HFD vs WT-HFD mice. NS, no significant difference in WT vs KO mice (n = 3). NS, not significant, *P < 0.05, **P < 0.01.
Figure 4Txnip deficiency promotes changes in transcription factor mRNA levels in HFD-induced mice. (A, B, C, D, E, F, G and H) The mRNA expression levels of Pdx1, Mafa, Mafb, Foxo1, Foxm1, Nkx6.1, Ins2 and Glut2were detected by RT-qPCR. n = 3, *P < 0.05, **P < 0.01.
Figure 5Txnip deficiency promotes β-cell replication by regulating the levels of cell cycle regulatory proteins. (A, B, C and D) The protein expression levels of cyclin D2, CDK4 and p27 were analyzed by Western blotting. (E, F and G) The mRNA expression levels of Ccnd2, Cdk4 and Cdkn1b were detected by RT-qPCR. (H) The mRNA expression levels of additional cell cycle regulators were detected by RT-qPCR. n = 3, *P < 0.05, **P < 0.01.
Figure 6Txnip deficiency may activate the PI3K/AKT signaling pathway. (A) Western blot analysis was performed to determine PI3K/AKT signaling pathway-related protein expression and phosphorylation in WT-HFD vs KO-HFD mice. Representative images are shown. (B) The phosphorylation ratio of PI3K. (C) The phosphorylation ratio of AKT. (D) The phosphorylation ratio of mTOR. (E) The phosphorylation ratio of GSK3β. n = 3, *P < 0.05, **P < 0.01.