Uric acid mediates the relationship between mixed heavy metal exposure and renal function in older adult people

被引:4
作者
Pan, Sai [1 ]
Niu, Yue [1 ]
Duan, Shuwei [1 ]
Zhao, Delong [1 ]
Wang, Qian [1 ]
Dong, Zheyi [1 ]
Cai, Guangyan [1 ]
Chen, Xiangmei [1 ]
机构
[1] Chinese Peoples Liberat Army Gen Hosp, Med Ctr 1, Natl Clin Res Ctr Kidney Dis, Dept Nephrol,State Key Lab Kidney Dis,Beijing Key, Beijing, Peoples R China
基金
北京市自然科学基金;
关键词
kidney function; uric acid; aging; heavy metals; machine learning; CHRONIC KIDNEY-DISEASE; ASSOCIATION; LEAD; HEALTH;
D O I
10.3389/fpubh.2024.1403878
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Background Population aging is a pivotal trend observed globally, and the exposure to heavy metals can exacerbate the aging process and lead to kidney damage. However, the impact of combined heavy metal exposure on renal function among older individuals remains elusive. Our study employs machine learning techniques to delve into the effects and underlying mechanisms of mixed exposure to heavy metals on the renal function of the aging population.Methods This study extracted comprehensive data from the National Health and Nutrition Examination Survey (NHANES) conducted between 2015 and 2020. A total of 3,175 participants aged 60 years and above, with complete information on six metals - lead, cadmium, manganese, cobalt, mercury, and selenium, along with relevant covariates, were included in the study. To assess the impact of single or mixed metal exposure on the renal function of older adult individuals, various statistical techniques were employed: multiple logistic regression, weighted quantitative sum (WQS) regression, Bayesian kernel machine regression (BKMR), and mediation effects analysis.Results Multiple logistic regression revealed that selenium and manganese were protective factors for chronic kidney disease (CKD). Cobalt was a risk factor for CKD. High concentrations of lead, cadmium, and cobalt were risk factors for urinary albumin creatinine ratio (ACR). WQS analyses revealed that mixed metal exposure was positively correlated with estimated glomerular filtration rate (eGFR) but negatively correlated with CKD. Selenium and manganese can neutralize the effects of other metals on eGFR. Mixed metal exposure was positively correlated with ACR, with lead and cadmium having a substantial effect. Mediation analysis showed that uric acid (UA) had a mediating effect of 9.7% and -19.7% in the association between mixed metals exposure and proteinuria and CKD, respectively.Conclusion The impact of heavy metals on renal function in the older adult differs from that of adolescents and adults. This study suggests that elevated levels of mixed metals exposure are linked to proteinuria and CKD, with UA serving as a mediating factor.
引用
收藏
页数:10
相关论文
共 50 条
  • [41] The relationship between insulin, glucose and serum uric acid and their contribution to the progression of renal damage in patients with primary glomerulonephritis
    Manitius, J
    Biedunkiewicz, B
    Kustosz, J
    Rutkowski, B
    JOURNAL OF INTERNATIONAL MEDICAL RESEARCH, 1996, 24 (06) : 449 - 453
  • [42] The association of low serum uric acid with mortality in older people is modified by kidney function: National Health and Nutrition Examination Survey (NHANES) 1999-2018
    Fan, Zhongcheng
    Li, Zhongju
    Guo, Aixin
    Li, Yang
    BMC NEPHROLOGY, 2024, 25 (01)
  • [43] Associations between blood pressure responses to acute stress and impaired renal function and serum uric acid level
    Ohno, Sachi
    Miyata, Masaaki
    Kohjitani, Atsushi
    Tohya, Akina
    Ohishi, Mitsuru
    Sugiyama, Kazuna
    CLINICAL AND EXPERIMENTAL HYPERTENSION, 2015, 37 (08) : 656 - 660
  • [44] Renal Function Mediates the Association Between Klotho and Congestive Heart Failure Among Middle-Aged and Older Individuals
    Zhu, Xu
    Lu, Xinyi
    Yin, Ting
    Zhu, Qingqing
    Shi, Shi
    Cheang, Iokfai
    Yue, Xin
    Tang, Yuan
    Liao, Shengen
    Zhou, Yanli
    Zhang, Haifeng
    Li, Xinli
    Yao, Wenming
    FRONTIERS IN CARDIOVASCULAR MEDICINE, 2022, 9
  • [45] The Association Between Uric Acid and Hepatic Function Markers With the Metabolic Syndrome in Middle-aged, Overweight, and Obese People
    Evangelopoulos, Angelos A.
    Vallianou, Natalia G.
    Panagiotakos, Demosthenes B.
    Georgiou, Aikaterini T.
    Zacharias, Georgios A.
    Vogiatzakis, Evangelos D.
    Avgerinos, Peter C.
    ENDOCRINOLOGIST, 2010, 20 (06) : 312 - 315
  • [46] Associations between Long-Term Particulate Matter Exposure and Adult Renal Function in the Taipei Metropolis
    Yang, Ya-Ru
    Chen, Yung-Ming
    Chen, Szu-Ying
    Chan, Chang-Chuan
    ENVIRONMENTAL HEALTH PERSPECTIVES, 2017, 125 (04) : 602 - 607
  • [47] Association between multiple metal(loid)s exposure and renal function: a cross-sectional study from southeastern China
    Du, Guihua
    Song, Xiaoguang
    Zhou, Fankun
    Ouyang, Lu
    Li, Qi
    Ruan, Shiying
    Yang, Shuo
    Rao, Shaoqi
    Wan, Xin
    Xie, Jie
    Feng, Chang
    Fan, Guangqin
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2023, 30 (41) : 94552 - 94564
  • [48] Improvement in Renal Function and Reduction in Serum Uric Acid with Intensive Statin Therapy in Older Patients: A Post Hoc Analysis of the SAGE Trial
    Prakash C. Deedwania
    Peter H. Stone
    Rana S. Fayyad
    Rachel E. Laskey
    Daniel J. Wilson
    Drugs & Aging, 2015, 32 : 1055 - 1065
  • [49] Relationship between maternal heavy metal exposure and congenital heart defects: a systematic review and meta-analysis
    Li, Shimeng
    Wang, Qinbo
    Luo, Wenting
    Jia, Shanshan
    Liu, Dan
    Ma, Wei
    Gu, Hui
    Wei, Xiaowei
    He, Yiwen
    Cao, Songying
    Yuan, Zhengwei
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2022, 29 (37) : 55348 - 55366
  • [50] Relationship between maternal heavy metal exposure and congenital heart defects: a systematic review and meta-analysis
    Shimeng Li
    Qinbo Wang
    Wenting Luo
    Shanshan Jia
    Dan Liu
    Wei Ma
    Hui Gu
    Xiaowei Wei
    Yiwen He
    Songying Cao
    Zhengwei Yuan
    Environmental Science and Pollution Research, 2022, 29 : 55348 - 55366