Literature DB >> 27464656

Benchmark dose for cadmium exposure and elevated N-acetyl-β-D-glucosaminidase: a meta-analysis.

CuiXia Liu1,2, YuBiao Li3, ChunShui Zhu2,4, ZhaoMin Dong5,6,7, Kun Zhang8, YanBin Zhao8, YiLu Xu9.   

Abstract

Cadmium (Cd) is a well-known nephrotoxic contaminant, and N-acetyl-β-D-glucosaminidase (NAG) is considered to be an early and sensitive marker of tubular dysfunction. The link between Cd exposure and NAG level enables us to derive the benchmark dose (BMD) of Cd. Although several reports have already documented urinary Cd (UCd)-NAG relationships and BMD estimations, high heterogeneities arise due to the sub-populations (age, gender, and ethnicity) and BMD methodologies being employed. To clarify the influences that these variables exert, firstly, a random effect meta-analysis was performed in this study to correlate the UCd and NAG based on 92 datasets collected from 30 publications. Later, this established correlation (Ln(NAG) = 0.51 × Ln(UCd) + 0.83) was applied to derive the UCd BMD5 of 1.76 μg/g creatinine and 95 % lower confidence limit of BMD5 (BMDL5) of 1.67 μg/g creatinine. While the regressions for different age groups and genders differed slightly, it is age and not gender that significantly affects BMD estimations. Ethnic differences may require further investigation given that limited data is currently available. Based on a comprehensive and systematic literature review, this study is a new attempt to quantify the UCd-NAG link and estimate BMD.

Entities:  

Keywords:  Benchmark dose; Cadmium; Meta-analysis; N-acetyl-β-D-glucosaminidase

Mesh:

Substances:

Year:  2016        PMID: 27464656     DOI: 10.1007/s11356-016-7214-z

Source DB:  PubMed          Journal:  Environ Sci Pollut Res Int        ISSN: 0944-1344            Impact factor:   4.223


  36 in total

Review 1.  Critical issues in benchmark calculations from continuous data.

Authors:  Kenny Crump
Journal:  Crit Rev Toxicol       Date:  2002-05       Impact factor: 5.635

2.  Estimation of benchmark dose as the threshold levels of urinary cadmium, based on excretion of total protein, beta2-microglobulin, and N-acetyl-beta-D-glucosaminidase in cadmium nonpolluted regions in Japan.

Authors:  Etsuko Kobayashi; Yasushi Suwazono; Mirei Uetani; Takeya Inaba; Mitsuhiro Oishi; Teruhiko Kido; Muneko Nishijo; Hideaki Nakagawa; Koji Nogawa
Journal:  Environ Res       Date:  2006-01-24       Impact factor: 6.498

3.  Cadmium overload and toxicity.

Authors:  Lars Järup
Journal:  Nephrol Dial Transplant       Date:  2002       Impact factor: 5.992

4.  Cadmium induced renal dysfunction among residents of rice farming area downstream from a zinc-mineralized belt in Thailand.

Authors:  Ryumon Honda; Witaya Swaddiwudhipong; Muneko Nishijo; Pranee Mahasakpan; Wimonrat Teeyakasem; Werawan Ruangyuttikarn; Soisungwan Satarug; Chantana Padungtod; Hideaki Nakagawa
Journal:  Toxicol Lett       Date:  2010-05-11       Impact factor: 4.372

5.  Risk assessment on renal dysfunction caused by co-exposure to arsenic and cadmium using benchmark dose calculation in a Chinese population.

Authors:  Feng Hong; Taiyi Jin; Aihua Zhang
Journal:  Biometals       Date:  2004-10       Impact factor: 2.949

Review 6.  Uncertainties in human health risk assessment of environmental contaminants: A review and perspective.

Authors:  Zhaomin Dong; Yanju Liu; Luchun Duan; Dawit Bekele; Ravi Naidu
Journal:  Environ Int       Date:  2015-09-17       Impact factor: 9.621

7.  Critical exposure level of cadmium for elevated urinary metallothionein--an occupational population study in China.

Authors:  Liang Chen; Taiyi Jin; Bo Huang; Gunnar Nordberg; Monica Nordberg
Journal:  Toxicol Appl Pharmacol       Date:  2006-02-28       Impact factor: 4.219

8.  Health risk assessment of cadmium via dietary intake by adults in China.

Authors:  Xiaoping Yuan; Jing Wang; Yan'e Shang; Baoguo Sun
Journal:  J Sci Food Agric       Date:  2014-01-30       Impact factor: 3.638

9.  Cadmium in blood and urine--impact of sex, age, dietary intake, iron status, and former smoking--association of renal effects.

Authors:  Ing-Marie Olsson; Inger Bensryd; Thomas Lundh; Helena Ottosson; Staffan Skerfving; Agneta Oskarsson
Journal:  Environ Health Perspect       Date:  2002-12       Impact factor: 9.031

10.  Population toxicokinetic modeling of cadmium for health risk assessment.

Authors:  Billy Amzal; Bettina Julin; Marie Vahter; Alicja Wolk; Gunnar Johanson; Agneta Akesson
Journal:  Environ Health Perspect       Date:  2009-05-06       Impact factor: 9.031

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  6 in total

1.  Cadmium exposure and urinary N-acetyl-β-D-glucosaminidase: a meta-analysis.

Authors:  Tomoyuki Kawada
Journal:  Environ Sci Pollut Res Int       Date:  2017-03-14       Impact factor: 4.223

2.  Response to the letter to editor "Cadmium exposure and urinary N-acetyl-β-D-glucosaminidase: a meta-analysis".

Authors:  Cuixia Liu; Yubiao Li; Chunshui Zhu; Zhaomin Dong; Kun Zhang; Yanbin Zhao; Yilu Xu
Journal:  Environ Sci Pollut Res Int       Date:  2017-03-28       Impact factor: 4.223

3.  Dose-response evaluation of urinary cadmium and kidney injury biomarkers in Chinese residents and dietary limit standards.

Authors:  Ying Qing; Jiaqi Yang; Yuanshen Zhu; Yongzhen Li; Weiwei Zheng; Min Wu; Gengsheng He
Journal:  Environ Health       Date:  2021-06-30       Impact factor: 5.984

4.  The Source and Pathophysiologic Significance of Excreted Cadmium.

Authors:  Soisungwan Satarug; David A Vesey; Werawan Ruangyuttikarn; Muneko Nishijo; Glenda C Gobe; Kenneth R Phelps
Journal:  Toxics       Date:  2019-10-18

Review 5.  Nephrotoxic Biomarkers with Specific Indications for Metallic Pollutants: Implications for Environmental Health.

Authors:  István Pócsi; Mark E Dockrell; Robert G Price
Journal:  Biomark Insights       Date:  2022-07-14

6.  An assessment of sensitivity biomarkers for urinary cadmium burden.

Authors:  Yuting Li; Hongmei Wang; Jie Yu; Qiong Yan; Honggang Hu; Lishu Zhang; Tian Tian; Xianglei Peng; Shuo Yang; Shen Ke
Journal:  BMC Nephrol       Date:  2020-09-05       Impact factor: 2.388

  6 in total

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