title: Benchmark dose approach for renal dysfunction in workers exposed to lead.
abstract: Benchmark dose (BMD) and the lower confidence limit on the benchmark dose (BMDL) of blood lead were estimated to explore the biologic exposure limits for renal dysfunction caused by lead. One hundred thirty-five workers from one storage battery plant were selected as lead exposure group while 143 mechanics as the control. The relationship between the blood lead concentration and the urinary excretion of total protein (TP), beta2-microglobulin (beta2-MG), and N-acetyl-beta-D-glucosaminidase (NAG) was studied. The quantal linear logistic regression model (BMDS Version 1.3.1) was used to calculate BMD and BMDL of blood lead. The results showed that the levels of NAG, beta2-MG, and TP in lead-exposed workers were higher than those of control group and elevated along with rising length of employment. The levels of three indices for renal dysfunction increased with the elevated blood lead. The BMD and BMDL of blood lead for renal dysfunction were from 299.4 to 588.7 microg/L and from 253.4 to 402.3 microg/L, respectively. The BMDL of blood lead was ranged from high to low as TP, beta2-MG, and NAG. It is suggested that the urinary NAG activity could be a sensitive and early biomarker of renal tubular dysfunction induced by lead. When assessing renal function in workers occupationally exposed to lead, a blood lead level of 250 microg/L could serve as a warning signal.
authors.affiliation: Department of Occupational and Environmental Health, School of Public Health and Family Medicine, Capital Medical University, Peijing, PR China.
authors.forename: Tian
authors.initials: T
authors.lastname: Lin
authors.forename: Jin
authors.initials: J
authors.lastname: Tai-Yi
mesh_terms: D000118:Acetylglucosaminidase / Q000652:urine; D000293:Adolescent; D000328:Adult; D019985:Benchmarking; D015415:Biomarkers / Q000097:blood / Q000652:urine; D016022:Case-Control Studies; D004305:Dose-Response Relationship, Drug; D006801:Humans; D007668:Kidney / Q000187:drug effects* / Q000378:metabolism; D007854:Lead / Q000097:blood / Q000633:toxicity* / Q000652:urine*; D016015:Logistic Models; D016273:Occupational Exposure / Q000009:adverse effects*; D011507:Proteinuria / Q000139:chemically induced / Q000652:urine; D001613:beta 2-Microglobulin / Q000652:urine
chemical_list: D015415:Biomarkers; D001613:beta 2-Microglobulin; D007854:Lead; D000118:Acetylglucosaminidase