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Metabolic Influences on Risk for Tendon Disorders

Overview of attention for book
Metabolic Influences on Risk for Tendon Disorders
Springer International Publishing

Table of Contents

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    Book Overview
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    Chapter 1 Tendon Structure and Composition
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    Chapter 2 Collagen Homeostasis and Metabolism
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    Chapter 3 Blood Supply
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    Chapter 4 Tendon Innervation
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    Chapter 5 Tendon Stem Cells: Mechanobiology and Development of Tendinopathy
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    Chapter 6 Informing Stem Cell-Based Tendon Tissue Engineering Approaches with Embryonic Tendon Development
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    Chapter 7 Metabolic Influences on Risk for Tendon Disorders
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    Chapter 8 Methods of Assessing Human Tendon Metabolism and Tissue Properties in Response to Changes in Mechanical Loading
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    Chapter 9 Towards an Understanding of the Genetics of Tendinopathy
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    Chapter 10 Tendons Involvement in Congenital Metabolic Disorders
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    Chapter 11 Hyperuricemia in Tendons
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    Chapter 12 Influence of Thyroid Hormones on Tendon Homeostasis
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    Chapter 13 Sex Hormones and Tendon
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    Chapter 14 Tendon Homeostasis in Hypercholesterolemia
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    Chapter 15 How Obesity Affects Tendons?
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    Chapter 16 Does Diabetes Mellitus Affect Tendon Healing?
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    Chapter 17 Metalloproteinase Changes in Diabetes
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    Chapter 18 How High Glucose Levels Affect Tendon Homeostasis
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    Chapter 19 Rehabilitation of Tendon Problems in Patients with Diabetes Mellitus
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    Chapter 20 Inflammation in Tendon Disorders
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    Chapter 21 Deep Venous Thrombosis and Tendon Healing
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    Chapter 22 Drug-Induced Tendon Disorders
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    Chapter 23 The Effects of Glucocorticoid on Tendon and Tendon Derived Cells
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    Chapter 24 Influence of Ageing on Tendon Homeostasis
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    Chapter 25 Does Platelet-Rich Plasma Increase Tendon Metabolism?
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    Chapter 26 Metabolic Influences on Risk for Tendon Disorders
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    Chapter 27 Do Dietary Factors Influence Tendon Metabolism?
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    Chapter 28 General Overview and Summary of Concepts Regarding Tendon Disease Topics Addressed Related to Metabolic Disorders
Attention for Chapter 11: Hyperuricemia in Tendons
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Chapter title
Hyperuricemia in Tendons
Chapter number 11
Book title
Metabolic Influences on Risk for Tendon Disorders
Published in
Advances in experimental medicine and biology, August 2016
DOI 10.1007/978-3-319-33943-6_11
Pubmed ID
Book ISBNs
978-3-31-933941-2, 978-3-31-933943-6
Authors

Isabel Andia, Michele Abate, Andia, Isabel, Abate, Michele

Editors

Paul W. Ackermann, David A. Hart

Abstract

Hyperuricemia, particularly gout, and the immune inflammatory response are highly integrated. Both, long standing hyperuricemia and monosodium urate (MSU) crystal deposition can challenge tendon homeostasis because of their potential to cause inflammation to the host. Knowledge is emerging from clinical imaging research depicting where MSU crystals deposit, including patellar tendon, triceps and quadriceps tendons. Remarkably, subclinical tendon inflammation and damage are also present in asymptomatic hyperuricemia. Monosodium urate crystals act as danger activating molecular patterns (DAMPs), activating the inflammasome and inducing the secretion of IL-1beta, a key mediator of the inflammatory response. The crucial role of IL-1beta in driving the inflammatory events during gout attacks is supported by the clinical efficacy of IL-1beta blockade. Some data implicating IL-1beta as an initiator of tendinopathy exist, but the link between hyperuricemia and the development of tendinopathy remains to be validated. Further knowledge about the interactions of uric acid with both innate immune and tendon cells, and their consequences may help to determine if there is a subclass of hyperuricemic-tendinopathy.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 5 18%
Student > Doctoral Student 3 11%
Researcher 3 11%
Student > Master 3 11%
Professor > Associate Professor 2 7%
Other 3 11%
Unknown 9 32%
Readers by discipline Count As %
Medicine and Dentistry 12 43%
Nursing and Health Professions 3 11%
Psychology 2 7%
Biochemistry, Genetics and Molecular Biology 1 4%
Computer Science 1 4%
Other 0 0%
Unknown 9 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 29 June 2024.
All research outputs
#21,353,175
of 26,212,054 outputs
Outputs from Advances in experimental medicine and biology
#3,656
of 5,259 outputs
Outputs of similar age
#279,658
of 357,289 outputs
Outputs of similar age from Advances in experimental medicine and biology
#69
of 101 outputs
Altmetric has tracked 26,212,054 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,259 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one is in the 17th percentile – i.e., 17% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 357,289 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 101 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.