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Cited by 348

The DOI matches its Crossref record; 148 of the 148 references it cites were found in a registry or an index.

NF-κβ: A Potential Target in the Management of Vascular Complications of Diabetes

Open access
Suryavanshi, Sachin V., Kulkarni, Yogesh A.·2017·Frontiers in Pharmacology

Abstract

Diabetes is a metabolic disorder affecting large percentage of population worldwide. NF-κβ plays key role in pathogenesis of vascular complications of diabetes. Persistent hyperglycemia activates NF-κβ that triggers expression of various cytokines, chemokines and cell adhesion molecules. Over-expression of TNF-α, interleukins, TGF-β, Bcl2 and other pro-inflammatory proteins and pro-apoptotic genes by NF-κβ is key risk factor in vascular dysfunction. NF-κβ over-expression also triggers calcification of endothelial cells leading to endothelial dysfunction and further vascular complications. Inhibition of NF-κβ pro-inflammatory pathway is upcoming novel target for management of vascular complications of diabetes. Various natural and synthetic inhibitors of NF-κβ have been studied in management of diabetic complications. Recent preclinical and clinical studies validate NF-κβ as promising target in the management of vascular complications of diabetes.

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Metadata

Authors
Suryavanshi, S. V., & Kulkarni, Y. A.
Venue
Frontiers in Pharmacology
Published
2017-11-07
Volume
8
Pages
798-798
ISSN
1663-9812 (ISSN-L)
OpenAlex
W2767589056
Cited by
348
References
148
FWCI
6.14
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: NF-κβ: A Potential Target in the Management of Vascular Complications of Diabetes. https://app.cochat.ai/papers/10.3389/fphar.2017.00798
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Suryavanshi, S. V., & Kulkarni, Y. A. (2017). NF-κβ: A Potential Target in the Management of Vascular Complications of Diabetes. Frontiers in Pharmacology. https://doi.org/10.3389/fphar.2017.00798

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.