Cargando…

Relationships between blood bone metabolic biomarkers and anemia in patients with chronic kidney disease

INTRODUCTION: Blood bone metabolic biomarkers are noninvasive indices for evaluating metabolic bone diseases. We investigated the relationships between blood bone metabolic biomarkers and anemia in chronic kidney disease (CKD) patients and analyzed the effects of parathyroidectomy (PTX) on the above...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Fan, Ye, Xiaoxue, Yang, Guang, Huang, Hui, Bian, Anning, Xing, Changying, Tang, Shaowen, Zhang, Jing, Jiang, Yao, Chen, Huimin, Yin, Caixia, Zhang, Lina, Wang, Jing, Huang, Yaoyu, Zhou, Wenbin, Wan, Huiting, Zha, Xiaoming, Zeng, Ming, Wang, Ningning
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10184590/
https://www.ncbi.nlm.nih.gov/pubmed/37170583
http://dx.doi.org/10.1080/0886022X.2023.2210227
_version_ 1785042176578682880
author Li, Fan
Ye, Xiaoxue
Yang, Guang
Huang, Hui
Bian, Anning
Xing, Changying
Tang, Shaowen
Zhang, Jing
Jiang, Yao
Chen, Huimin
Yin, Caixia
Zhang, Lina
Wang, Jing
Huang, Yaoyu
Zhou, Wenbin
Wan, Huiting
Zha, Xiaoming
Zeng, Ming
Wang, Ningning
author_facet Li, Fan
Ye, Xiaoxue
Yang, Guang
Huang, Hui
Bian, Anning
Xing, Changying
Tang, Shaowen
Zhang, Jing
Jiang, Yao
Chen, Huimin
Yin, Caixia
Zhang, Lina
Wang, Jing
Huang, Yaoyu
Zhou, Wenbin
Wan, Huiting
Zha, Xiaoming
Zeng, Ming
Wang, Ningning
author_sort Li, Fan
collection PubMed
description INTRODUCTION: Blood bone metabolic biomarkers are noninvasive indices for evaluating metabolic bone diseases. We investigated the relationships between blood bone metabolic biomarkers and anemia in chronic kidney disease (CKD) patients and analyzed the effects of parathyroidectomy (PTX) on the above indices. METHODS: In this cross-sectional study, 100 healthy controls and 239 CKD patients, including 46 secondary hyperparathyroidism (SHPT) patients with PTX, were enrolled. Moreover, a prospective study was conducted in which 28 PTX patients were followed up. The degree of anemia was classified as mild, moderate, or severe based on the tertiles of hemoglobin (Hb) levels of the anemic CKD patients, with cutoff values of 83 g/L and 102 g/L. Bone metabolic biomarkers, including calcium (Ca), phosphorus (P), intact parathyroid hormone (iPTH), fibroblast growth factor 23 (FGF23), and α-klotho, were tested. RESULTS: The mean estimated glomerular filtration rate (eGFR) in CKD patients was 25.7 ± 36.0 ml/min/1.73 m(2), and 84.10% of CKD patients had anemia. The baseline Hb levels in the mild, moderate, and severe anemia subgroups were 110.86 ± 5.99 g/L, 92.71 ± 5.96 g/L, and 67.38 ± 10.56 g/L, respectively. CKD patients had higher adjusted Ca, P, alkaline phosphatase (ALP), iPTH, and FGF23 levels and lower α-klotho levels than controls. Baseline adjusted Ca, P, iPTH, and α-klotho levels were associated with Hb levels in CKD patients. Blood adjusted Ca, P, and iPTH levels were correlated with anemia severity. After PTX (median interval: 6.88 months), anemia and high blood adjusted Ca, P, iPTH, and FGF23 levels were ameliorated, while α-klotho levels were increased. CONCLUSIONS: Blood adjusted Ca, P, iPTH, and α-klotho levels were correlated with Hb levels in CKD patients. Correction of bone metabolic disorders may be a therapeutic strategy for anemia treatment.
format Online
Article
Text
id pubmed-10184590
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Taylor & Francis
record_format MEDLINE/PubMed
spelling pubmed-101845902023-05-16 Relationships between blood bone metabolic biomarkers and anemia in patients with chronic kidney disease Li, Fan Ye, Xiaoxue Yang, Guang Huang, Hui Bian, Anning Xing, Changying Tang, Shaowen Zhang, Jing Jiang, Yao Chen, Huimin Yin, Caixia Zhang, Lina Wang, Jing Huang, Yaoyu Zhou, Wenbin Wan, Huiting Zha, Xiaoming Zeng, Ming Wang, Ningning Ren Fail Clinical Study INTRODUCTION: Blood bone metabolic biomarkers are noninvasive indices for evaluating metabolic bone diseases. We investigated the relationships between blood bone metabolic biomarkers and anemia in chronic kidney disease (CKD) patients and analyzed the effects of parathyroidectomy (PTX) on the above indices. METHODS: In this cross-sectional study, 100 healthy controls and 239 CKD patients, including 46 secondary hyperparathyroidism (SHPT) patients with PTX, were enrolled. Moreover, a prospective study was conducted in which 28 PTX patients were followed up. The degree of anemia was classified as mild, moderate, or severe based on the tertiles of hemoglobin (Hb) levels of the anemic CKD patients, with cutoff values of 83 g/L and 102 g/L. Bone metabolic biomarkers, including calcium (Ca), phosphorus (P), intact parathyroid hormone (iPTH), fibroblast growth factor 23 (FGF23), and α-klotho, were tested. RESULTS: The mean estimated glomerular filtration rate (eGFR) in CKD patients was 25.7 ± 36.0 ml/min/1.73 m(2), and 84.10% of CKD patients had anemia. The baseline Hb levels in the mild, moderate, and severe anemia subgroups were 110.86 ± 5.99 g/L, 92.71 ± 5.96 g/L, and 67.38 ± 10.56 g/L, respectively. CKD patients had higher adjusted Ca, P, alkaline phosphatase (ALP), iPTH, and FGF23 levels and lower α-klotho levels than controls. Baseline adjusted Ca, P, iPTH, and α-klotho levels were associated with Hb levels in CKD patients. Blood adjusted Ca, P, and iPTH levels were correlated with anemia severity. After PTX (median interval: 6.88 months), anemia and high blood adjusted Ca, P, iPTH, and FGF23 levels were ameliorated, while α-klotho levels were increased. CONCLUSIONS: Blood adjusted Ca, P, iPTH, and α-klotho levels were correlated with Hb levels in CKD patients. Correction of bone metabolic disorders may be a therapeutic strategy for anemia treatment. Taylor & Francis 2023-05-12 /pmc/articles/PMC10184590/ /pubmed/37170583 http://dx.doi.org/10.1080/0886022X.2023.2210227 Text en © 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent.
spellingShingle Clinical Study
Li, Fan
Ye, Xiaoxue
Yang, Guang
Huang, Hui
Bian, Anning
Xing, Changying
Tang, Shaowen
Zhang, Jing
Jiang, Yao
Chen, Huimin
Yin, Caixia
Zhang, Lina
Wang, Jing
Huang, Yaoyu
Zhou, Wenbin
Wan, Huiting
Zha, Xiaoming
Zeng, Ming
Wang, Ningning
Relationships between blood bone metabolic biomarkers and anemia in patients with chronic kidney disease
title Relationships between blood bone metabolic biomarkers and anemia in patients with chronic kidney disease
title_full Relationships between blood bone metabolic biomarkers and anemia in patients with chronic kidney disease
title_fullStr Relationships between blood bone metabolic biomarkers and anemia in patients with chronic kidney disease
title_full_unstemmed Relationships between blood bone metabolic biomarkers and anemia in patients with chronic kidney disease
title_short Relationships between blood bone metabolic biomarkers and anemia in patients with chronic kidney disease
title_sort relationships between blood bone metabolic biomarkers and anemia in patients with chronic kidney disease
topic Clinical Study
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10184590/
https://www.ncbi.nlm.nih.gov/pubmed/37170583
http://dx.doi.org/10.1080/0886022X.2023.2210227
work_keys_str_mv AT lifan relationshipsbetweenbloodbonemetabolicbiomarkersandanemiainpatientswithchronickidneydisease
AT yexiaoxue relationshipsbetweenbloodbonemetabolicbiomarkersandanemiainpatientswithchronickidneydisease
AT yangguang relationshipsbetweenbloodbonemetabolicbiomarkersandanemiainpatientswithchronickidneydisease
AT huanghui relationshipsbetweenbloodbonemetabolicbiomarkersandanemiainpatientswithchronickidneydisease
AT biananning relationshipsbetweenbloodbonemetabolicbiomarkersandanemiainpatientswithchronickidneydisease
AT xingchangying relationshipsbetweenbloodbonemetabolicbiomarkersandanemiainpatientswithchronickidneydisease
AT tangshaowen relationshipsbetweenbloodbonemetabolicbiomarkersandanemiainpatientswithchronickidneydisease
AT zhangjing relationshipsbetweenbloodbonemetabolicbiomarkersandanemiainpatientswithchronickidneydisease
AT jiangyao relationshipsbetweenbloodbonemetabolicbiomarkersandanemiainpatientswithchronickidneydisease
AT chenhuimin relationshipsbetweenbloodbonemetabolicbiomarkersandanemiainpatientswithchronickidneydisease
AT yincaixia relationshipsbetweenbloodbonemetabolicbiomarkersandanemiainpatientswithchronickidneydisease
AT zhanglina relationshipsbetweenbloodbonemetabolicbiomarkersandanemiainpatientswithchronickidneydisease
AT wangjing relationshipsbetweenbloodbonemetabolicbiomarkersandanemiainpatientswithchronickidneydisease
AT huangyaoyu relationshipsbetweenbloodbonemetabolicbiomarkersandanemiainpatientswithchronickidneydisease
AT zhouwenbin relationshipsbetweenbloodbonemetabolicbiomarkersandanemiainpatientswithchronickidneydisease
AT wanhuiting relationshipsbetweenbloodbonemetabolicbiomarkersandanemiainpatientswithchronickidneydisease
AT zhaxiaoming relationshipsbetweenbloodbonemetabolicbiomarkersandanemiainpatientswithchronickidneydisease
AT zengming relationshipsbetweenbloodbonemetabolicbiomarkersandanemiainpatientswithchronickidneydisease
AT wangningning relationshipsbetweenbloodbonemetabolicbiomarkersandanemiainpatientswithchronickidneydisease