Literature DB >> 30114399

Can urine osteopontin levels, which may be correlated with nutrition intake and body composition, be used as a new biomarker in the diagnosis of nephrolithiasis?

Mehmet Arif Icer1, Makbule Gezmen-Karadag2, Sinan Sozen3.   

Abstract

BACKGROUND AND AIM: The nephrolithiasis has a multifactorial etiology resulting from the interaction of metabolic, genetic and environmental factors. Parameters such as nutrition and urinary osteopontin (OPN) level may affect kidney stone formation. The purpose of this study is to evaluate the correlation between urinary OPN level and kidney stone formation and effect of nutrition on OPN level in nephrolithiasis.
MATERIALS AND METHODS: This study was conducted on 88 volunteers including 44 healthy individuals and 44 patients diagnosed with nephrolithiasis and aging between 20 and 65 years. Some serum parameters and urinary OPN levels of the individuals were analyzed. Several anthropometric measurements of the individuals were taken and calculated their body mass index. Additionally, 24-hour dietary recall and water intakes were recorded and the participants completed food-frequency questionnaire for the evaluation of their nutritional status.
RESULTS: Urinary OPN (ng/mL) levels of patients were lower than that of control group (p<0.05). Dietary energy, carbohydrate, poly-unsaturated fatty acid (PUFA) and n-6 fatty acids intakes and urinary OPN levels of male patients were positively correlated (p<0.05). Additionally, there was a negative correlation between their urinary OPN (ng/mL) and serum creatinine (mg/dL) levels of female patients (p<0.05). Body weight, waist circumference, hip circumference and body muscle mass values of healthy males were positively correlated with their urinary OPN levels (p<0.05).
CONCLUSIONS: Results of the study showed that low urinary OPN levels were correlated with increased kidney stone risk, and dietary habits can affect urinary OPN level.
Copyright © 2018 The Canadian Society of Clinical Chemists. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Biomarker; Body composition; Creatinine; Dietary effects; Nephrolithiasis; Osteopontin

Mesh:

Substances:

Year:  2018        PMID: 30114399     DOI: 10.1016/j.clinbiochem.2018.08.001

Source DB:  PubMed          Journal:  Clin Biochem        ISSN: 0009-9120            Impact factor:   3.281


  7 in total

1.  An Integrated Bioinformatics Analysis towards the Identification of Diagnostic, Prognostic, and Predictive Key Biomarkers for Urinary Bladder Cancer.

Authors:  Michail Sarafidis; George I Lambrou; Vassilis Zoumpourlis; Dimitrios Koutsouris
Journal:  Cancers (Basel)       Date:  2022-07-10       Impact factor: 6.575

Review 2.  The role of osteopontin in kidney diseases.

Authors:  Beata Kaleta
Journal:  Inflamm Res       Date:  2018-11-19       Impact factor: 4.575

Review 3.  Osteopontin and Transplantation: Where Are We Now?

Authors:  Beata Kaleta
Journal:  Arch Immunol Ther Exp (Warsz)       Date:  2021-05-21       Impact factor: 4.291

4.  Development of a multiplex mass spectrometry method for simultaneous quantification of urinary proteins related to respiratory health.

Authors:  Sarah J D Nauwelaerts; Nancy H C Roosens; Alfred Bernard; Sigrid C J De Keersmaecker; Koen De Cremer
Journal:  Sci Rep       Date:  2021-05-12       Impact factor: 4.379

5.  Inhibitive Effects of Huashi Pill on Formation of Renal Stones by Modulating Urine Biochemical Indexes and Osteopontin in Renal Stone Rat Models.

Authors:  Ailing Yang; Huimeng Guo; Manling Fu; Minyong Liu
Journal:  Med Sci Monit       Date:  2019-11-06

6.  The Impact of Glycosylation of Osteopontin on Urinary Stone Formation.

Authors:  Go Anan; Tohru Yoneyama; Daisuke Noro; Yuki Tobisawa; Shingo Hatakeyama; Mihoko Sutoh Yoneyama; Hayato Yamamoto; Atsushi Imai; Hiromichi Iwamura; Yuki Kohada; Jotaro Mikami; Jun Ito; Yasuhiro Kaiho; Takahiro Yoneyama; Yasuhiro Hashimoto; Makoto Sato; Chikara Ohyama
Journal:  Int J Mol Sci       Date:  2019-12-21       Impact factor: 5.923

7.  Identification of the pivotal role of SPP1 in kidney stone disease based on multiple bioinformatics analysis.

Authors:  Sen-Yuan Hong; Qi-Dong Xia; Jin-Zhou Xu; Chen-Qian Liu; Jian-Xuan Sun; Yang Xun; Shao-Gang Wang
Journal:  BMC Med Genomics       Date:  2022-01-11       Impact factor: 3.063

  7 in total

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