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Zhang Y, Li C, Wang Z, Wang T, Zhou Y, Zheng L. Blocking CXC Motif Chemokine Ligand 2 Ameliorates Diabetic Peripheral Neuropathy via Inhibiting Apoptosis and NLRP3 Inflammasome Activation. Biol Pharm Bull 2023; 46:672-683. [PMID: 37121693 DOI: 10.1248/bpb.b22-00680] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/02/2023]
Abstract
Evidence suggests that CXC motif chemokines are involved in neuronal injury and inflammatory processes. Bioinformatics analysis by using data from the Gene Expression Omnibus (GEO) database was performed and identified CXC motif chemokine ligands (CXCLs) as associated with diabetic peripheral neuropathy (DPN). The present study focused on CXC motif chemokine ligand 2 (CXCL2), and the role and potential mechanisms of CXCL2 in DPN were investigated. The DPN rat model was generated by streptozotocin (STZ) injection in vivo, and high-glucose (HG)-stimulated Schwann cell RSC96 was considered a cell model of DPN in vitro. Neuropathic symptoms of DPN were explored by neurological tests and histological examinations. DPN rats showed a decreased level of motor nerve conduction velocity (MNCV) along with typical histological changes. CXCL2 expression was significantly increased in STZ-induced DPN rat sciatic nerve and HG-induced RSC96 cells. Functionally, CXCL2 knockdown inhibited cell apoptosis and inflammation activation under diabetic conditions in vitro and in vivo. CXCL2 knockdown increased cell viability in HG-treated RSC96 cells and reduced apoptosis concerning the decreased expression of cleaved Caspase 3/9. In addition, CXCL2 knockdown protected against NOD-like receptor protein 3 (NLRP3) inflammasome activation and reduced levels of pro-inflammatory cytokines, interleukin (IL)-1β and IL-18. The repressive effects of CXCL2 knockdown on inflammasome activation under HG conditions were significantly abolished by treatment of the NLRP3 activator nigericin. In conclusion, these results indicated that CXCL2 knockdown exhibited amelioration of hyperglycemia-induced DPN by inhibiting cell apoptosis and NLRP3 inflammasome activation, suggesting that targeting CXCL2 might be a potential strategy for DPN treatment.
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Affiliation(s)
- Yu Zhang
- Department of Endocrinology and Metabolism, The First Affiliated Hospital of Zhengzhou University
| | - Chong Li
- Department of Endocrinology and Metabolism, The First Affiliated Hospital of Zhengzhou University
| | - Zhifang Wang
- Department of Endocrinology and Metabolism, The First Affiliated Hospital of Zhengzhou University
| | - Tingting Wang
- Department of Endocrinology and Metabolism, The First Affiliated Hospital of Zhengzhou University
| | - Yahui Zhou
- Department of Neurology, The Third Affiliated Hospital of Xinxiang Medical University
| | - Lili Zheng
- Department of Endocrinology and Metabolism, The First Affiliated Hospital of Zhengzhou University
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Identification of Immune Infiltration and the Potential Biomarkers in Diabetic Peripheral Neuropathy through Bioinformatics and Machine Learning Methods. Biomolecules 2022; 13:biom13010039. [PMID: 36671424 PMCID: PMC9855866 DOI: 10.3390/biom13010039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2022] [Revised: 12/19/2022] [Accepted: 12/22/2022] [Indexed: 12/28/2022] Open
Abstract
Diabetic peripheral neuropathy (DPN) is one of the most common chronic complications in diabetes. Previous studies have shown that chronic neuroinflammation was associated with DPN. However, further research is needed to investigate the exact immune molecular mechanism underlying the pathogenesis of DPN. Expression profiles were downloaded from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) were screened by R software. After functional enrichment analysis of DEGs, a protein-protein interaction (PPI) network analysis was performed. The CIBERSORT algorithm was used to evaluate the infiltration of immune cells in DPN. Next, the least absolute shrinkage and selection operator (LASSO) logistic regression and support vector machine-recursive feature elimination (SVM-RFE) algorithms were applied to identify potential DPN diagnostic markers. Finally, the results were further validated by qRT-PCR. A total of 1308 DEGs were screened in this study. Enrichment analysis identified that DEGs were significantly enriched in immune-related biological functions and pathways. Immune cell infiltration analysis found that M1 and M2 macrophages, monocytes, resting mast cells, resting CD4 memory T cells and follicular helper T cells were involved in the development of DPN. LTBP2 and GPNMB were identified as diagnostic markers of DPN. qRT-PCR results showed that 15 mRNAs, including LTBP2 and GPNMB, were differentially expressed, consistent with the microarray results. In conclusion, LTBP2 and GPNMB can be used as novel candidate molecular diagnostic markers for DPN. Furthermore, the infiltration of immune cells plays an important role in the progression of DPN.
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Sanabria-de la Torre R, García-Fontana C, González-Salvatierra S, Andújar-Vera F, Martínez-Heredia L, García-Fontana B, Muñoz-Torres M. The Contribution of Wnt Signaling to Vascular Complications in Type 2 Diabetes Mellitus. Int J Mol Sci 2022; 23:6995. [PMID: 35805996 PMCID: PMC9266892 DOI: 10.3390/ijms23136995] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2022] [Revised: 06/21/2022] [Accepted: 06/21/2022] [Indexed: 02/01/2023] Open
Abstract
Vascular complications are the leading cause of morbidity and mortality among patients with type 2 diabetes mellitus (T2DM). These vascular abnormalities result in a chronic hyperglycemic state, which influences many signaling molecular pathways that initially lead to increased oxidative stress, increased inflammation, and endothelial dysfunction, leading to both microvascular and macrovascular complications. Endothelial dysfunction represents the initial stage in both types of vascular complications; it represents "mandatory damage" in the development of microvascular complications and only "introductory damage" in the development of macrovascular complications. Increasing scientific evidence has revealed an important role of the Wnt pathway in the pathophysiology of the vascular wall. It is well known that the Wnt pathway is altered in patients with T2DM. This review aims to be an update of the current literature related to the Wnt pathway molecules that are altered in patients with T2DM, which may also be the cause of damage to the vasculature. Both microvascular complications (retinopathy, nephropathy, and neuropathy) and macrovascular complications (coronary artery disease, cerebrovascular disease, and peripheral arterial disease) are analyzed. This review aims to concisely concentrate all the evidence to facilitate the view on the vascular involvement of the Wnt pathway and its components by highlighting the importance of exploring possible therapeutic strategy for patients with T2DM who develop vascular pathologies.
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Affiliation(s)
- Raquel Sanabria-de la Torre
- Department of Medicine, University of Granada, 18016 Granada, Spain; (R.S.-d.l.T.); (S.G.-S.); (L.M.-H.); (M.M.-T.)
- Instituto de Investigación Biosanitaria de Granada (ibs.GRANADA), 18012 Granada, Spain;
| | - Cristina García-Fontana
- Instituto de Investigación Biosanitaria de Granada (ibs.GRANADA), 18012 Granada, Spain;
- Endocrinology and Nutrition Unit, University Hospital Clínico San Cecilio, 18016 Granada, Spain
- CIBER de Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - Sheila González-Salvatierra
- Department of Medicine, University of Granada, 18016 Granada, Spain; (R.S.-d.l.T.); (S.G.-S.); (L.M.-H.); (M.M.-T.)
- Instituto de Investigación Biosanitaria de Granada (ibs.GRANADA), 18012 Granada, Spain;
| | - Francisco Andújar-Vera
- Instituto de Investigación Biosanitaria de Granada (ibs.GRANADA), 18012 Granada, Spain;
- Department of Computer Science and Artificial Intelligence, University of Granada, 18071 Granada, Spain
- Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI Institute), 18014 Granada, Spain
| | - Luis Martínez-Heredia
- Department of Medicine, University of Granada, 18016 Granada, Spain; (R.S.-d.l.T.); (S.G.-S.); (L.M.-H.); (M.M.-T.)
- Instituto de Investigación Biosanitaria de Granada (ibs.GRANADA), 18012 Granada, Spain;
| | - Beatriz García-Fontana
- Instituto de Investigación Biosanitaria de Granada (ibs.GRANADA), 18012 Granada, Spain;
- Endocrinology and Nutrition Unit, University Hospital Clínico San Cecilio, 18016 Granada, Spain
- CIBER de Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - Manuel Muñoz-Torres
- Department of Medicine, University of Granada, 18016 Granada, Spain; (R.S.-d.l.T.); (S.G.-S.); (L.M.-H.); (M.M.-T.)
- Instituto de Investigación Biosanitaria de Granada (ibs.GRANADA), 18012 Granada, Spain;
- Endocrinology and Nutrition Unit, University Hospital Clínico San Cecilio, 18016 Granada, Spain
- CIBER de Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, 28029 Madrid, Spain
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