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运动对普通人群肾脏相关生物标志物的影响:一项系统评价和荟萃分析。

Effect of exercise on kidney-relevant biomarkers in the general population: a systematic review and meta-analysis.

作者信息

Liu Qiaoling, Celis-Morales Carlos, Lees Jennifer, Mark Patrick, Welsh Paul

机构信息

School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK

School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK.

出版信息

BMJ Open. 2025 Jan 8;15(1):e093017. doi: 10.1136/bmjopen-2024-093017.

Abstract

OBJECTIVE

Physical activity (PA) has been generally recognised as beneficial for health. The effect of a change in PA on kidney biomarkers in healthy individuals without kidney disease remains unclear. This manuscript synthesised the evidence of the association of changes in PA with kidney biomarkers in the general population free from kidney disease.

DESIGN

Systematic review and meta-analysis.

DATA SOURCES

Embase, PubMed, MEDLINE and Web of Science databases were searched from inception to 12 March 2023.

ELIGIBILITY CRITERIA FOR SELECTING STUDIES

Studies of longitudinal or interventional design were selected initially. The following studies were excluded: (1) case-control studies, (2) studies where PA was measured at a single time point, (3) populations with known kidney disease, (4) studies evaluating the impact of a single episode/event of PA and (5) non-English language studies.

DATA EXTRACTION AND SYNTHESIS

Two independent reviewers extracted data from a pre-designed table and assessed the risk of bias using the Cochrane Risk of Bias tool. Data were pooled using a random-effects model. Hedge's g was used to synthesise effect sizes and obtain an overall estimate. Heterogeneity between studies was measured using I. Funnel plots and Egger's test were performed to evaluate the risk of biased results.

RESULTS

16 interventional studies with randomised or non-randomised designs involving 500 participants were identified. The median follow-up was 84 days. 10 studies were at high risk of bias. Studies with low quality were published prior to the year 2000. Changes in PA were found only to have a positive association with serum creatinine (SCr) (Hedge's g=0.69; 95% CI 0.13, 1.24; I=81.37%) and not with plasma renin activity (PRA), urea, or urine albumin-to-creatinine ratio (UACR). The positive association was only observed in people with obesity and those who exercised for more than 84 days.

CONCLUSIONS

Higher levels of PA are associated with increased SCr levels in healthy people. It remains unclear if this association is related to impaired kidney function or gain in muscle mass, as data on other kidney biomarkers did not support a certain link.

PROSPERO REGISTRATION NUMBER

This review has been registered on PROSPERO (CRD42023407820).

摘要

目的

体育活动(PA)已被普遍认为对健康有益。PA变化对无肾脏疾病的健康个体肾脏生物标志物的影响仍不清楚。本论文综合了无肾脏疾病的普通人群中PA变化与肾脏生物标志物关联的证据。

设计

系统评价和荟萃分析。

数据来源

检索了Embase、PubMed、MEDLINE和Web of Science数据库,检索时间从建库至2023年3月12日。

研究选择的纳入标准

最初选择纵向或干预设计的研究。排除以下研究:(1)病例对照研究;(2)在单一时间点测量PA的研究;(3)已知患有肾脏疾病的人群;(4)评估单次PA发作/事件影响的研究;(5)非英语语言研究。

数据提取与综合

两名独立评审员从预先设计的表格中提取数据,并使用Cochrane偏倚风险工具评估偏倚风险。使用随机效应模型汇总数据。使用Hedge's g综合效应量并获得总体估计值。使用I²测量研究间的异质性。进行漏斗图和Egger检验以评估结果偏倚的风险。

结果

确定了16项随机或非随机设计的干预性研究,涉及500名参与者。中位随访时间为84天。10项研究存在高偏倚风险。低质量研究发表于2000年之前。发现PA变化仅与血清肌酐(SCr)呈正相关(Hedge's g = 0.69;95%CI 0.13,1.24;I² = 81.37%),与血浆肾素活性(PRA)、尿素或尿白蛋白与肌酐比值(UACR)无关。这种正相关仅在肥胖人群和运动超过84天的人群中观察到。

结论

在健康人群中,较高水平的PA与SCr水平升高有关。尚不清楚这种关联是否与肾功能受损或肌肉量增加有关,因为关于其他肾脏生物标志物的数据不支持特定联系。

PROSPERO注册号:本综述已在PROSPERO上注册(CRD42023407820)。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/246a/11749449/cfe6ee975ef4/bmjopen-15-1-g001.jpg

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