Literature DB >> 30880660

Uric Acid Levels Correlate with Sensory Nerve Function in Healthy Subjects.

Alon Abraham1, Hans D Katzberg2, Leif E Lovblom3, Bruce A Perkins3, Vera Bril2.   

Abstract

BACKGROUND: High levels of uric acid (UA) are associated with various peripheral neuropathies. Furthermore, uric acid levels have been found to correlate with both the clinical and electrophysiological severity of diabetic sensorimotor polyneuropathy, mainly with sensory functions.
OBJECTIVES: To determine whether higher UA levels are associated negatively with nerve function in healthy subjects.
METHODS: A total of 126 healthy subjects recruited prospectively for another study were included. We extracted demographic data, body mass index (BMI), blood pressure, Toronto Clinical Neuropathy Score (TCNS), electrophysiological findings, vibration perception thresholds (VPT), and laboratory test results including UA, hemoglobin A1c (HbA1c), estimated glomerular filtration rate (eGFR), and lipid levels.
RESULTS: The mean age of the cohort was 56 ± 17 years with 56% females. Males had higher UA values compared with females. Univariate beta regression coefficient analysis between UA levels and demographic, clinical, electrophysiological, and laboratory findings showed significant positive correlations with male gender, components of the metabolic syndrome, and with VPT, while an inverse correlation was found with electrophysiological sensory parameters. A multivariate regression model showed positive correlations only with BMI, finger VPT, and triglycerides.
CONCLUSION: Higher UA levels correlate with lower sensory nerve function in healthy subjects, expanding the evidence of possible negative influence of UA on peripheral nerves, although a causative role has not yet established.

Entities:  

Keywords:  Healthy subjects; Polyneuropathy; Sensory nerve function; TCNS; Uric acid; VPT

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Year:  2019        PMID: 30880660     DOI: 10.1017/cjn.2019.9

Source DB:  PubMed          Journal:  Can J Neurol Sci        ISSN: 0317-1671            Impact factor:   2.104


  2 in total

1.  Identification of Gout Flares in Chief Complaint Text Using Natural Language Processing.

Authors:  John D Osborne; James S Booth; Tobias O'Leary; Amy Mudano; Giovanna Rosas; Phillip J Foster; Kenneth G Saag; Maria I Danila
Journal:  AMIA Annu Symp Proc       Date:  2021-01-25

2.  Prevalence and Risk Factors for Peripheral Neuropathy in Chinese Patients With Gout.

Authors:  Kaifeng Guo; Nan Liang; Mian Wu; Lihui Chen; Haibing Chen
Journal:  Front Neurol       Date:  2022-02-24       Impact factor: 4.003

  2 in total

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