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Cited by 1,403

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Angiogenesis and Inflammation in Peritoneal Dialysis: The Role of Adipocytes

Open access
Shi, Jun, Yu, Manshu, Sheng, Meixiao·2017·Kidney and Blood Pressure Research

Abstract

Chronic inflammation and angiogenesis are the most common complications in patients undergoing maintenance peritoneal dialysis (PD), resulting in progressive peritoneum remolding and, eventually, utrafiltration failure. Contributing to the deeper tissue under the peritoneal membrane, adipocytes play a neglected role in this process. Some adipokines act as inflammatory and angiogenic promoters, while others have the opposite effects. Adipokines, together with inflammatory factors and other cytokines, modulate inflammation and neovascularization in a coordinated fashion. This review will also emphasize cellular regulators and their crosstalk in long-term PD. Understanding the molecular mechanism, targeting changes in adipocytes and regulating adipokine secretion will help extend therapeutic methods for preventing inflammation and angiogenesis in PD.

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Metadata

Authors
Shi, J., Yu, M., & Sheng, M.
Venue
Kidney and Blood Pressure Research
Publisher
S. Karger AG
Published
2017
Volume
42
Issue
2
Pages
209-219
ISSN
  • 1420-4096 (ISSN-L)
  • 1423-0143
OpenAlex
W2610204288
Cited by
1,403
References
5
FWCI
96.19
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Angiogenesis and Inflammation in Peritoneal Dialysis: The Role of Adipocytes. https://app.cochat.ai/papers/10.1159/000476017
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Shi, J., Yu, M., & Sheng, M. (2017). Angiogenesis and Inflammation in Peritoneal Dialysis: The Role of Adipocytes. Kidney and Blood Pressure Research. https://doi.org/10.1159/000476017

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.