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Behnoush AH, Khalaji A, Shokri Varniab Z, Rahbarghazi A, Amini E, Klisic A. Urinary and circulatory netrin-1 as biomarker in diabetes and its related complications: a systematic review and meta-analysis. Endocrine 2024; 84:328-344. [PMID: 37996774 DOI: 10.1007/s12020-023-03598-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Accepted: 10/30/2023] [Indexed: 11/25/2023]
Abstract
BACKGROUND Novel biomarkers have been suggested for the diagnosis and prognosis of diabetes mellitus. The biomarker utility of netrin-1 in diabetes as an extracellular protein has been investigated. In this systematic review and meta-analysis, we reviewed the role of netrin-1 as a biomarker in prediabetes, diabetes, and complications of diabetes. METHODS PubMed, Embase, Scopus, and Web of Science were systematically searched for studies that measured circulatory and/or urinary netrin-1 levels in diabetes and compared them with non-diabetic patients or evaluated the prognostic role of this marker. Standardized mean difference (SMD) and 95% confidence interval (CI) were calculated using random-effect meta-analysis to compare netrin-1 levels between groups. The impact of mean age, male sex percentage, sample size, mean body mass index, and publication year on the overall heterogeneity was assessed using meta-regression. RESULTS Among 413 records from international databases, 19 original studies were included with 2061 cases (1137 diabetics, 196 prediabetics, and 728 healthy controls). Meta-analysis of eight studies measuring netrin-1 in patients with diabetes and comparing it with healthy controls showed no significant difference between the two groups (SMD 0.69, 95% CI -0.78 to 2.16, I2 = 98%, p-value = 0.36). On the other hand, a meta-analysis of netrin-1 levels in patients with prediabetes in comparison with healthy controls revealed that they had lower levels (SMD -0.51, 95% CI -0.81 to -0.21, p-value < 0.01). Diabetic patients with microalbuminuria and macroalbuminuria had significantly higher circulatory netrin-1 levels compared to normoalbuminuric group SMD 1.18, 95% CI 0.83 to 1.53, p-value < 0.01 and SMD 1.67, 95% CI 0.76 to 2.58, p-value < 0.01, respectively). Moreover, no difference in urinary netrin-1 levels was found between micro-, macro-, and normoalbuminuric groups (p-value > 0.05). CONCLUSION Netrin-1 showed promising results as a biomarker in diabetes prognosis. However, more studies are required to confirm our findings, and higher sample size studies are needed to evaluate the diagnostic utility of this marker.
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Affiliation(s)
- Amir Hossein Behnoush
- School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Amirmohammad Khalaji
- School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
| | - Zahra Shokri Varniab
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
- Pediatric Urology and Regenerative Medicine Research Center, Gene, Cell and Tissue Research Institute, Children's Medical Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Afshin Rahbarghazi
- Department of Physical Education and Sports Sciences, Faculty of Educational Science and Psychology, University of Mohaghegh Ardabil, Ardabil, Iran
- Stem Cell Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Elahe Amini
- Tehran Medical Sciences Branch, Islamic Azad University, Tehran, Iran
| | - Aleksandra Klisic
- University of Montenegro-Faculty of Medicine, Podgorica, Montenegro
- Center for Laboratory Diagnostics, Primary Health Care Center, Podgorica, Montenegro
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Liu C, Hu X, Zhao Y, Huang A, Chen J, Lu T, Wu M, Lu H. High-Glucose-Induced Injury to Proximal Tubules of the Renal System Is Alleviated by Netrin-1 Suppression of Akt/mTOR. J Diabetes Res 2023; 2023:4193309. [PMID: 38033740 PMCID: PMC10684325 DOI: 10.1155/2023/4193309] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Revised: 08/03/2023] [Accepted: 10/16/2023] [Indexed: 12/02/2023] Open
Abstract
The kidneys have a high level of Netrin-1 expression, which protects against some acute and chronic kidney disorders. However, it is yet unknown how Netrin-1 affects renal proximal tubule cells in diabetic nephropathy (DN) under pathological circumstances. Research has shown that autophagy protects the kidneys in animal models of renal disease. In this study, we looked at the probable autophagy regulation mechanism of Netrin-1 and its function in the pathogenesis of DN. We proved that in HK-2 cell, high blood sugar levels caused Netrin-1 to be downregulated, which then triggered the Akt/mTOR signaling pathway and enhanced cell death and actin cytoskeleton disruption. By adding Netrin-1 or an autophagy activator in vitro, these pathogenic alterations were reverted. Our results indicate that Netrin-1 stimulates autophagy by blocking the Akt/mTOR signaling pathway, which underlies high-glucose-induced malfunction of the renal proximal tubules. After HK-2 cells were incubated with Netrin-1 recombination protein and rapamycin under HG conditions for 24 h, the apoptosis was significantly reduced, as shown by the higher levels of Bcl-2, as well as lower levels of Bax and cleaved caspase-3 (P = 0.012, Cohen's d = 0.489, Glass's delta = 0.23, Hedges' g = 0.641). This study reveals that targeting Netrin-1-related signaling has therapeutic potential for DN and advances our knowledge of the processes operating in renal proximal tubules in DN.
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Affiliation(s)
- Chenxiao Liu
- Department of Endocrinology, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, 242 Guangji Road, Jiangsu 215008, China
| | - Xingna Hu
- Department of Endocrinology, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, 242 Guangji Road, Jiangsu 215008, China
| | - Yun Zhao
- Department of Endocrinology, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, 242 Guangji Road, Jiangsu 215008, China
| | - Aijie Huang
- Department of Endocrinology, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, 242 Guangji Road, Jiangsu 215008, China
| | - Jiaqi Chen
- Department of Endocrinology, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, 242 Guangji Road, Jiangsu 215008, China
| | - Ting Lu
- Department of Endocrinology, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, 242 Guangji Road, Jiangsu 215008, China
| | - Mian Wu
- Department of Endocrinology, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, 242 Guangji Road, Jiangsu 215008, China
| | - Honghong Lu
- Department of Endocrinology, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, 242 Guangji Road, Jiangsu 215008, China
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Dubin RF, Deo R, Ren Y, Wang J, Zheng Z, Shou H, Go AS, Parsa A, Lash JP, Rahman M, Hsu CY, Weir MR, Chen J, Anderson A, Grams ME, Surapaneni A, Coresh J, Li H, Kimmel PL, Vasan RS, Feldman H, Segal MR, Ganz P. Proteomics of CKD progression in the chronic renal insufficiency cohort. Nat Commun 2023; 14:6340. [PMID: 37816758 PMCID: PMC10564759 DOI: 10.1038/s41467-023-41642-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2023] [Accepted: 09/13/2023] [Indexed: 10/12/2023] Open
Abstract
Progression of chronic kidney disease (CKD) portends myriad complications, including kidney failure. In this study, we analyze associations of 4638 plasma proteins among 3235 participants of the Chronic Renal Insufficiency Cohort Study with the primary outcome of 50% decline in estimated glomerular filtration rate or kidney failure over 10 years. We validate key findings in the Atherosclerosis Risk in the Communities study. We identify 100 circulating proteins that are associated with the primary outcome after multivariable adjustment, using a Bonferroni statistical threshold of significance. Individual protein associations and biological pathway analyses highlight the roles of bone morphogenetic proteins, ephrin signaling, and prothrombin activation. A 65-protein risk model for the primary outcome has excellent discrimination (C-statistic[95%CI] 0.862 [0.835, 0.889]), and 14/65 proteins are druggable targets. Potentially causal associations for five proteins, to our knowledge not previously reported, are supported by Mendelian randomization: EGFL9, LRP-11, MXRA7, IL-1 sRII and ILT-2. Modifiable protein risk markers can guide therapeutic drug development aimed at slowing CKD progression.
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Affiliation(s)
- Ruth F Dubin
- Division of Nephrology, University of Texas Southwestern Medical Center, Dallas, TX, USA.
| | - Rajat Deo
- Division of Cardiovascular Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Yue Ren
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Jianqiao Wang
- Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Zihe Zheng
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Haochang Shou
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Alan S Go
- Division of Research, Kaiser Permanente Northern California, Oakland, the Department of Health Systems Science, Oakland, CA, USA
| | - Afshin Parsa
- National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, USA
| | - James P Lash
- Department of Medicine, University of Illinois Chicago, Chicago, IL, USA
| | - Mahboob Rahman
- Department of Medicine, University Hospitals Cleveland Medical Center, Case Western Reserve University School of Medicine, Cleveland, OH, USA
| | - Chi-Yuan Hsu
- Division of Research, Kaiser Permanente Northern California, Oakland, the Department of Health Systems Science, Oakland, CA, USA
- Division of Nephrology, University of California San Francisco, San Francisco, CA, USA
| | - Matthew R Weir
- Division of Nephrology, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Jing Chen
- Department of Epidemiology, Tulane University, New Orleans, LA, USA
| | - Amanda Anderson
- Department of Epidemiology, Tulane University, New Orleans, LA, USA
| | - Morgan E Grams
- Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, MD, USA
- Department of Medicine, Johns Hopkins University, Baltimore, MD, USA
- Division of Precision Medicine, New York University Grossman School of Medicine, New York, NY, USA
| | - Aditya Surapaneni
- Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, MD, USA
- Department of Medicine, Johns Hopkins University, Baltimore, MD, USA
- Division of Precision Medicine, New York University Grossman School of Medicine, New York, NY, USA
| | - Josef Coresh
- Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, MD, USA
- Department of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Hongzhe Li
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Paul L Kimmel
- Division of Kidney, Urologic, and Hematologic Diseases, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Ramachandran S Vasan
- University of Texas School of Public Health San Antonio and the University of Texas Health Sciences Center in San Antonio. Section of Preventive Medicine and Epidemiology, Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | - Harold Feldman
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Mark R Segal
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
| | - Peter Ganz
- Division of Cardiology, University of California, San Francisco, San Francisco, CA, USA
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4
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Huang C, Ding L, Ji J, Qiao Y, Xia Z, Shi H, Zhang S, Gan W, Zhang A. Expression profiles and potential roles of serum tRNA‑derived fragments in diabetic nephropathy. Exp Ther Med 2023; 26:311. [PMID: 37273759 PMCID: PMC10236146 DOI: 10.3892/etm.2023.12010] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2022] [Accepted: 03/29/2023] [Indexed: 06/06/2023] Open
Abstract
Diabetic nephropathy (DN) is one of the most important causes of end-stage renal disease and current treatments are ineffective in preventing its progression. Transfer RNA (tRNA)-derived fragments (tRFs), which are small non-coding fragments derived from tRNA precursors or mature tRNAs, have a critical role in various human diseases. The present study aimed to investigate the expression profile and potential functions of tRFs in DN. High-throughput sequencing technology was employed to detect the differential serum levels of tRFs between DN and diabetes mellitus and to validate the reliability of the sequencing results using reverse transcription-quantitative PCR. Ultimately, six differentially expressed (DE) tRFs were identified (P<0.05; |log2fold change| ≥1), including three upregulated (tRF5-GluCTC, tRF5-AlaCGC and tRF5-ValCAC) and three downregulated tRFs (tRF5-GlyCCC, tRF3-GlyGCC and tRF3-IleAAT). Potential functions and regulatory mechanisms of these DE tRFs were further evaluated using an applied bioinformatics-based analysis. Gene ontology analysis revealed that the DE tRFs are mainly enriched in biological processes, including axon guidance, Rad51 paralog (Rad51)B-Rad51C-Rad51D-X-Ray repair cross-complementing 2 complex, nuclear factor of activated T-cells protein binding and fibroblast growth factor-activated receptor activity. Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis indicated that they are associated with axon guidance, neurotrophin signaling, mTOR signaling, AMPK signaling and epidermal growth factor receptor family signaling pathways. In conclusion, the present findings indicated that tRFs were DE in DN and may be involved in the regulation of DN pathology through multiple pathways, thereby providing a new perspective for the study of DN therapeutic targets.
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Affiliation(s)
- Chan Huang
- Department of Pediatrics, The Second Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu 210003, P.R. China
| | - Ling Ding
- Department of Pediatrics, The Fourth Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu 210031, P.R. China
| | - Jialing Ji
- Department of Pediatrics, The Second Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu 210003, P.R. China
| | - Yunyang Qiao
- Department of Pediatrics, The Second Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu 210003, P.R. China
| | - Zihuan Xia
- School of Pediatrics, Nanjing Medical University, Nanjing, Jiangsu 211166, P.R. China
| | - Huimin Shi
- Department of Pediatrics, The Second Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu 210003, P.R. China
| | - Shiting Zhang
- Department of Pediatrics, The Fourth Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu 210031, P.R. China
| | - Weihua Gan
- Department of Pediatrics, The Second Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu 210003, P.R. China
| | - Aiqing Zhang
- Department of Pediatrics, The Fourth Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu 210031, P.R. China
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5
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Sarkar MS, Mia MM, Amin MA, Hossain MS, Islam MZ. Bioinformatics and network biology approach to identifying type 2 diabetes genes and pathways that influence the progression of breast cancer. Heliyon 2023; 9:e16151. [PMID: 37234659 PMCID: PMC10205526 DOI: 10.1016/j.heliyon.2023.e16151] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Revised: 04/28/2023] [Accepted: 05/07/2023] [Indexed: 05/28/2023] Open
Abstract
Breast cancer is the second most prevalent malignancy affecting women. Postmenopausal women breast tumor is one of the top causes of death in women, accounting for 23% of cancer cases. Type 2 diabetes, a worldwide pandemic, has been connected to a heightened risk of several malignancies, although its association with breast cancer is still uncertain. In comparison to non-diabetic women, women with T2DM had a 23% elevated likelihood of developing breast cancer. It is difficult to determine causative or genetic susceptibility that connect T2DM and breast cancer. We created a large-scale network-based quantitative approach employing unbiased methods to discover abnormally amplified genes in both T2DM and breast cancer, to solve these issues. We performed transcriptome analysis to uncover identical genetic biomarkers and pathways to clarify the connection between T2DM and breast cancer patients. In this study, two RNA-seq datasets (GSE103001 and GSE86468) from the Gene Expression Omnibus (GEO) are used to identify mutually differentially expressed genes (DEGs) for breast cancer and T2DM, as well as common pathways and prospective medicines. Firstly, 45 shared genes (30 upregulated and 15 downregulated) between T2D and breast cancer were detected. We employed gene ontology and pathway enrichment to characterize prevalent DEGs' molecular processes and signal transduction pathways and observed that T2DM has certain connections to the progression of breast cancer. Using several computational and statistical approaches, we created a protein-protein interactions (PPI) network and revealed hub genes. These hub genes can be potential biomarkers, which may also lead to new therapeutic strategies for investigated diseases. We conducted TF-gene interactions, gene-microRNA interactions, protein-drug interactions, and gene-disease associations to find potential connections between T2DM and breast cancer pathologies. We assume that the potential drugs that emerged from this study could be useful therapeutic values. Researchers, doctors, biotechnologists, and many others may benefit from this research.
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Affiliation(s)
- Md Sumon Sarkar
- Department of Pharmacy, Islamic University, Kushtia-7003, Bangladesh
| | - Md Misor Mia
- Department of Pharmacy, Islamic University, Kushtia-7003, Bangladesh
| | - Md Al Amin
- Department of Computer Science & Engineering, Prime University, Dhaka-1216, Bangladesh
| | - Md Sojib Hossain
- Department of Mathematics, Govt. Bangla College, Dhaka-1216, Bangladesh
| | - Md Zahidul Islam
- Department of Information & Communication Technology, Islamic University, Kushtia-7003, Bangladesh
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Netrin-1 promotes the vasculogenic capacity of human adipose-derived stem cells. Cell Tissue Bank 2022; 24:357-367. [PMID: 36222969 DOI: 10.1007/s10561-022-10038-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Accepted: 09/10/2022] [Indexed: 11/02/2022]
Abstract
Adipose derived stem cells (ADSCs) have been increasingly explored for use in cell-based therapy against ischemic diseases. However, unsatisfactory angiogenesis limits the therapeutic efficacy. Netrin-1, a known axon guidance molecule, improves neovascularization in the ischemic region. Thus, our study was performed to evaluate the potential effect of Netrin-1 on the angiogenic behaviors of human ADSCs (hADSCs). hADSCs acquired from human abdominal adipose tissue were modified by liposome transfection of Netrin-1 plasmid, and the proliferation of hADSCs was determined by Cell Counting Kit-8 (CCK-8) assay. The transcript levels of pro-invasive proteins such as matrix metalloproteinase 2 (MMP2) and matrix metalloproteinase 9 (MMP-9), were measured to test migratory and invasive capabilities, and the levels of vascular endothelial growth factors were assayed to monitor angiogenic activity. Our results showed that Netrin-1 overexpression enhanced the proliferation of hADSCs, and promoted the migration and invasion of hADSCs, as indicated by increased levels of MMP-2 and MMP-9. Furthermore, Netrin-1 overexpression increased the expression of vascular endothelial growth factor and placental growth factor in hADSCs. Our results highlighted the possibility that genetic modification of hADSCs by Netrin-1 overexpression might be beneficial for cell transplantation therapy against ischemic diseases.
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Pujar M, Vastrad B, Kavatagimath S, Vastrad C, Kotturshetti S. Identification of candidate biomarkers and pathways associated with type 1 diabetes mellitus using bioinformatics analysis. Sci Rep 2022; 12:9157. [PMID: 35650387 PMCID: PMC9160069 DOI: 10.1038/s41598-022-13291-1] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2021] [Accepted: 05/16/2022] [Indexed: 12/14/2022] Open
Abstract
Type 1 diabetes mellitus (T1DM) is a metabolic disorder for which the underlying molecular mechanisms remain largely unclear. This investigation aimed to elucidate essential candidate genes and pathways in T1DM by integrated bioinformatics analysis. In this study, differentially expressed genes (DEGs) were analyzed using DESeq2 of R package from GSE162689 of the Gene Expression Omnibus (GEO). Gene ontology (GO) enrichment analysis, REACTOME pathway enrichment analysis, and construction and analysis of protein–protein interaction (PPI) network, modules, miRNA-hub gene regulatory network and TF-hub gene regulatory network, and validation of hub genes were performed. A total of 952 DEGs (477 up regulated and 475 down regulated genes) were identified in T1DM. GO and REACTOME enrichment result results showed that DEGs mainly enriched in multicellular organism development, detection of stimulus, diseases of signal transduction by growth factor receptors and second messengers, and olfactory signaling pathway. The top hub genes such as MYC, EGFR, LNX1, YBX1, HSP90AA1, ESR1, FN1, TK1, ANLN and SMAD9 were screened out as the critical genes among the DEGs from the PPI network, modules, miRNA-hub gene regulatory network and TF-hub gene regulatory network. Receiver operating characteristic curve (ROC) analysis confirmed that these genes were significantly associated with T1DM. In conclusion, the identified DEGs, particularly the hub genes, strengthen the understanding of the advancement and progression of T1DM, and certain genes might be used as candidate target molecules to diagnose, monitor and treat T1DM.
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Affiliation(s)
- Madhu Pujar
- Department of Pediatrics, J J M Medical College, Davangere, Karnataka, 577004, India
| | - Basavaraj Vastrad
- Department of Pharmaceutical Chemistry, K.L.E. College of Pharmacy, Gadag, Karnataka, 582101, India
| | - Satish Kavatagimath
- Department of Pharmacognosy, K.L.E. College of Pharmacy, Belagavi, Karnataka, 590010, India
| | - Chanabasayya Vastrad
- Biostatistics and Bioinformatics, Chanabasava Nilaya, Bharthinagar, Dharwad, Karnataka, 580001, India.
| | - Shivakumar Kotturshetti
- Biostatistics and Bioinformatics, Chanabasava Nilaya, Bharthinagar, Dharwad, Karnataka, 580001, India
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8
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Netrin-1: An Emerging Player in Inflammatory Diseases. Cytokine Growth Factor Rev 2022; 64:46-56. [DOI: 10.1016/j.cytogfr.2022.01.003] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2021] [Accepted: 01/12/2022] [Indexed: 12/14/2022]
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Ziegon L, Schlegel M. Netrin-1: A Modulator of Macrophage Driven Acute and Chronic Inflammation. Int J Mol Sci 2021; 23:275. [PMID: 35008701 PMCID: PMC8745333 DOI: 10.3390/ijms23010275] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2021] [Revised: 12/22/2021] [Accepted: 12/23/2021] [Indexed: 12/11/2022] Open
Abstract
Netrins belong to the family of laminin-like secreted proteins, which guide axonal migration and neuronal growth in the developing central nervous system. Over the last 20 years, it has been established that netrin-1 acts as a chemoattractive or chemorepulsive cue in diverse biological processes far beyond neuronal development. Netrin-1 has been shown to play a central role in cell adhesion, cell migration, proliferation, and cell survival in neuronal and non-neuronal tissue. In this context, netrin-1 was found to orchestrate organogenesis, angiogenesis, tumorigenesis, and inflammation. In inflammation, as in neuronal development, netrin-1 plays a dichotomous role directing the migration of leukocytes, especially monocytes in the inflamed tissue. Monocyte-derived macrophages have long been known for a similar dual role in inflammation. In response to pathogen-induced acute injury, monocytes are rapidly recruited to damaged tissue as the first line of immune defense to phagocyte pathogens, present antigens to initiate the adaptive immune response, and promote wound healing in the resolution phase. On the other hand, dysregulated macrophages with impaired phagocytosis and egress capacity accumulate in chronic inflammation sites and foster the maintenance-and even the progression-of chronic inflammation. In this review article, we will highlight the dichotomous roles of netrin-1 and its impact on acute and chronic inflammation.
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Affiliation(s)
| | - Martin Schlegel
- Department of Anesthesiology and Intensive Care Medicine, Klinikum Rechts der Isar, Technical University Munich, 81675 Munich, Germany;
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Yang X, Sun H, Tang T, Zhang W, Li Y. Netrin-1 promotes retinoblastoma-associated angiogenesis. ANNALS OF TRANSLATIONAL MEDICINE 2021; 9:1683. [PMID: 34988192 PMCID: PMC8667090 DOI: 10.21037/atm-21-5560] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Accepted: 11/10/2021] [Indexed: 12/25/2022]
Abstract
BACKGROUND Retinoblastoma (Rb) is the most common intraocular cancer of infancy and childhood, with an incidence of nearly 0.006% in all live births. Although a functional loss or inactivation of both alleles of the retinoblastoma 1 (RB1) gene during retinal development appears to be the predominant etiology for Rb, genes associated with tumor angiogenesis are also likely to be involved in the development of this condition. Netrin-1 is a factor that regulates pathological angiogenesis, while its role in Rb is largely unknown. The present study examined the role of netrin-1 in Rb. METHODS The expression of netrin-1 in Rb was assessed using public databases and using clinical specimens by RT-qPCR for mRNA and by ELISA for protein. The expression of netrin-1 was suppressed in Rb by siRNA and the effects on cell growth were determined by a CCK-8 assay, while the effects on angiogenesis were examined in vitro using human umbilical vein endothelial cell (HUVEC) assays and in vivo by quantification of tumor vessel density. RESULTS Analysis of published databases revealed that the netrin-1 gene is significantly upregulated in Rb, which was confirmed by immunohistochemistry on clinical specimens. Inhibition of netrin-1 in Rb cell lines significantly reduced their effects on angiogenesis in vitro using a HUVEC co-culture assay without affecting cell growth. Inhibition of netrin-1 expression in vivo suppressed the growth of grafted Rb, and this effect could be abolished by co-expression of vascular endothelial growth factor A (VEGF-A). CONCLUSIONS This data demonstrated a novel role for netrin-1 in the regulation of Rb-associated cancer vascularization and may represent a novel therapeutic target for patients with Rb.
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Affiliation(s)
- Xiaosheng Yang
- Department of Neurosurgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hui Sun
- Department of Neurosurgery, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Tianchi Tang
- Department of Neurosurgery, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Wenchuan Zhang
- Department of Neurosurgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yi Li
- Department of Neurosurgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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The expression of Netrin-1 in the MIA-induced osteoarthritic temporomandibular joint in mice. Sci Rep 2021; 11:15695. [PMID: 34344989 PMCID: PMC8333414 DOI: 10.1038/s41598-021-95251-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2021] [Accepted: 07/14/2021] [Indexed: 11/09/2022] Open
Abstract
Subchondral bone degeneration is the main pathological change during temporomandibular joint (TMJ) osteoarthritis (OA) development. Netrin-1, an axon-guiding factor, might play roles in OA development and pain. The purpose of this study was to investigate the expression of Netrin-1 in TMJ OA and its possible role in the progression of TMJ OA and pain. The synovial fluids of temporomandibular joint disorders (TMDs) patients were collected for Netrin-1 by enzyme linked immunosorbent assay (ELISA). TMJ OA model was built by MIA joint injection, and then the von Frey test, hematoxylin & eosin (H&E) staining, toluidine blue (TB) staining, immunohistochemical (IHC) staining and micro-CT were performed. After induction of osteoclast differentiation of raw264.7 cells, immunofluorescence (IF) was used to detect the Netrin-1 and its receptors on osteoclast membrane. The concentration of Netrin-1 increased in the synovial fluid of TMJ OA patients. After MIA injection to TMJ, the head withdrawal threshold (HWT) was significantly decreased. Microscopically, the structural disorder of subchondral bone was the most obvious at the 2nd week after MIA injection. In addition, Netrin-1 expression increased in the subchondral bone at the 2nd week after MIA injection. In vitro, the expressions of Netrin-1 and its receptor Unc5B were upregulated on the osteoclast membrane. Netrin-1 might be an important regulator during bone degeneration and pain in the process of TMJ OA.
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Mavrogeorgis E, Mischak H, Beige J, Latosinska A, Siwy J. Understanding glomerular diseases through proteomics. Expert Rev Proteomics 2021; 18:137-157. [PMID: 33779448 DOI: 10.1080/14789450.2021.1908893] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
INTRODUCTION Chronic kidney disease is avery common and complex chronic disease. Uncovering the pathological patterns of CKD on the molecular level of bio-fluids and tissue appears to be both vital and promising for a more favorable outcome. We reviewed recently discovered proteomics biomarkers for CKD to provide new insight into disease pathology. AREAS COVERED We review the application of proteome analysis in the context of CKD with various etiologies within the last 5 years. Proteins and peptides associated with CKD as derived from multiple sources (urine, blood and tissue) are reported along with their various biological pathways. EXPERT OPINION A systematic and theoretical comprehension of the CKD pathology is essential for its successful management. The underlying complexity of the disease further requires specific conditions for reliable and interpretable results. In this context, clinical proteomics has resulted in first encouraging findings in CKD. A more complete understanding of the biological pathways related to the disease, based on the scope of a holistic proteomic approach, could improve substantially the management of CKD, especially when in conjunction with the current trend of personalized medicine.
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Affiliation(s)
| | - H Mischak
- Mosaiques Diagnostics GmbH, Hannover, Germany.,Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
| | - J Beige
- Division of Nephrology and KfH Renal Unit, Hospital St. Georg, Leipzig, Germany.,Department of Internal Medicine 2 (Nephrology, Rheumatology, Endocrinology), Martin-Luther-University Halle, Wittenberg, Germany
| | | | - J Siwy
- Mosaiques Diagnostics GmbH, Hannover, Germany
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Prashanth G, Vastrad B, Tengli A, Vastrad C, Kotturshetti I. Identification of hub genes related to the progression of type 1 diabetes by computational analysis. BMC Endocr Disord 2021; 21:61. [PMID: 33827531 PMCID: PMC8028841 DOI: 10.1186/s12902-021-00709-6] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/07/2020] [Accepted: 02/22/2021] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Type 1 diabetes (T1D) is a serious threat to childhood life and has fairly complicated pathogenesis. Profound attempts have been made to enlighten the pathogenesis, but the molecular mechanisms of T1D are still not well known. METHODS To identify the candidate genes in the progression of T1D, expression profiling by high throughput sequencing dataset GSE123658 was downloaded from Gene Expression Omnibus (GEO) database. The differentially expressed genes (DEGs) were identified, and gene ontology (GO) and pathway enrichment analyses were performed. The protein-protein interaction network (PPI), modules, target gene - miRNA regulatory network and target gene - TF regulatory network analysis were constructed and analyzed using HIPPIE, miRNet, NetworkAnalyst and Cytoscape. Finally, validation of hub genes was conducted by using ROC (Receiver operating characteristic) curve and RT-PCR analysis. A molecular docking study was performed. RESULTS A total of 284 DEGs were identified, consisting of 142 up regulated genes and 142 down regulated genes. The gene ontology (GO) and pathways of the DEGs include cell-cell signaling, vesicle fusion, plasma membrane, signaling receptor activity, lipid binding, signaling by GPCR and innate immune system. Four hub genes were identified and biological process analysis revealed that these genes were mainly enriched in cell-cell signaling, cytokine signaling in immune system, signaling by GPCR and innate immune system. ROC curve and RT-PCR analysis showed that EGFR, GRIN2B, GJA1, CAP2, MIF, POLR2A, PRKACA, GABARAP, TLN1 and PXN might be involved in the advancement of T1D. Molecular docking studies showed high docking score. CONCLUSIONS DEGs and hub genes identified in the present investigation help us understand the molecular mechanisms underlying the advancement of T1D, and provide candidate targets for diagnosis and treatment of T1D.
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Affiliation(s)
- G Prashanth
- Department of General Medicine, Basaveshwara Medical College, Chitradurga, Karnataka, 577501, India
| | - Basavaraj Vastrad
- Department of Biochemistry, Basaveshwar College of Pharmacy, Gadag, Karnataka, 582103, India
| | - Anandkumar Tengli
- Department of Pharmaceutical Chemistry, JSS College of Pharmacy, Mysuru and JSS Academy of Higher Education & Research, Mysuru, Karnataka, 570015, India
| | - Chanabasayya Vastrad
- Biostatistics and Bioinformatics, Chanabasava Nilaya, Bharthinagar, Dharwad, Karanataka, 580001, India.
| | - Iranna Kotturshetti
- Department of Ayurveda, Rajiv Gandhi Education Society's Ayurvedic Medical College, Ron, Karanataka, 582209, India
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Tao QR, Chu YM, Wei L, Tu C, Han YY. Antiangiogenic therapy in diabetic nephropathy: A double‑edged sword (Review). Mol Med Rep 2021; 23:260. [PMID: 33655322 PMCID: PMC7893700 DOI: 10.3892/mmr.2021.11899] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2020] [Accepted: 01/21/2021] [Indexed: 02/06/2023] Open
Abstract
Diabetes and the associated complications are becoming a serious global threat and an increasing burden to human health and the healthcare systems. Diabetic nephropathy (DN) is the primary cause of end-stage kidney disease. Abnormal angiogenesis is well established to be implicated in the morphology and pathophysiology of DN. Factors that promote or inhibit angiogenesis serve an important role in DN. In the present review, the current issues associated with the vascular disease in DN are highlighted, and the challenges in the development of treatments are discussed.
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Affiliation(s)
- Qian-Ru Tao
- Department of Nephrology, The Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu 213000, P.R. China
| | - Ying-Ming Chu
- Department of Integrated Traditional Chinese Medicine, Peking University First Hospital, Beijing 100034, P.R. China
| | - Lan Wei
- Department of Internal Medicine, The Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu 213000, P.R. China
| | - Chao Tu
- Department of Internal Medicine, The Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu 213000, P.R. China
| | - Yuan-Yuan Han
- Institute of Medical Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Kunming, Yunnan 650118, P.R. China
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Huang Q, Cai Y, Zhang X, Liu J, Liu Z, Li B, Wong H, Xu F, Sheng L, Sun D, Qin J, Luo Z, Lu X. Aligned Graphene Mesh-Supported Double Network Natural Hydrogel Conduit Loaded with Netrin-1 for Peripheral Nerve Regeneration. ACS APPLIED MATERIALS & INTERFACES 2021; 13:112-122. [PMID: 33397079 DOI: 10.1021/acsami.0c16391] [Citation(s) in RCA: 36] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
The gold standard treatment for peripheral nerve injuries (PNIs) is the autologous graft, while it is associated with the shortage of donors and results in major complications. In the present study, we engineer a graphene mesh-supported double-network (DN) hydrogel scaffold, loaded with netrin-1. Natural alginate and gelatin-methacryloyl entangled hydrogel that is synthesized via fast exchange of ions and ultraviolet irradiation provide proper mechanical strength and excellent biocompatibility and can also serve as a reservoir for netrin-1. Meanwhile, the graphene mesh can promote the proliferation of Schwann cells and guide their alignments. This approach allows scaffolds to have an acceptable Young's modulus of 725.8 ± 46.52 kPa, matching with peripheral nerves, as well as a satisfactory electrical conductivity of 6.8 ± 0.85 S/m. In addition, netrin-1 plays a dual role in directing axon pathfinding and neuronal migration that optimizes the tube formation ability at a concentration of 100 ng/mL. This netrin-1-loaded graphene mesh tube/DN hydrogel nerve scaffold can significantly promote the regeneration of peripheral nerves and the restoration of denervated muscle, which is even superior to autologous grafts. Our findings may provide an effective therapeutic strategy for PNI patients that can replace the scarce autologous graft.
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Affiliation(s)
- Qun Huang
- Department of Vascular Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200011, China
| | - Yuting Cai
- Department of Materials Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, Guangdong, China
- Department of Chemical and Biological Engineering, and William Mong Institute of Nano Science and Technology, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon 999077, Hong Kong, China
| | - Xing Zhang
- Department of Vascular Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200011, China
| | - Junchao Liu
- Department of Vascular Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200011, China
| | - Zhenjing Liu
- Department of Chemical and Biological Engineering, and William Mong Institute of Nano Science and Technology, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon 999077, Hong Kong, China
| | - Bo Li
- Department of Vascular Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200011, China
| | - Hoilun Wong
- Department of Chemical and Biological Engineering, and William Mong Institute of Nano Science and Technology, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon 999077, Hong Kong, China
| | - Feng Xu
- Bioinspired Engineering and Biomechanics Center, Xi'an Jiaotong University, Xi'an 710049, Shaanxi, China
| | - Liyuan Sheng
- Shenzhen Institute, Peking University, Shenzhen 518057, China
| | - Dazhi Sun
- Department of Materials Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, Guangdong, China
| | - Jinbao Qin
- Department of Vascular Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200011, China
- Vascular Center of Shanghai Jiao Tong University, Shanghai 200011, China
| | - Zhengtang Luo
- Department of Chemical and Biological Engineering, and William Mong Institute of Nano Science and Technology, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon 999077, Hong Kong, China
| | - Xinwu Lu
- Department of Vascular Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200011, China
- Vascular Center of Shanghai Jiao Tong University, Shanghai 200011, China
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