Biomarkers and Risk Assessment for Chromium(VI)
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Biomarkers and Risk
Assessment for Chromium(VI)
Qingshan Qu, MD (PI)
Roy Shore, PhD (Co-I)
Dept. of Environmental Med.
NYU School of Medicine
Background
Toxicity of oxidation states of
Chromium (Cr)
– Cr(III) is relatively nontoxic, poorly
absorbed, little crosses cell membranes,
& may be an essential element
– Cr(VI) is strong oxidizing agent: toxic
and carcinogenic; crosses cell
membranes
Public Health Risks
Cr(VI) is public health concern:
Superfund site contaminant
Current Risk Assessments based on
extrapolations: high-to-low
concentrations and/or animal-to-
human
Study Approach
Measure exposure levels, internal dose,
markers for biologically effective dose &
genotoxicity.
Ultimate goal: determine which
biomarkers are useful quantitative
indicators of Cr(VI) exposure at low levels
for future epidemiology or surveillance
Intermediate Objectives for
Biomarker Validation & Utility
Examine the reproducibility of each
biomarker (intraindividual vs.
interindividual variability)
Measure sensitivity of biomarker at
progressively lower levels
Examine the specificity of the biomarker
(? affected by smoking, diet, age, other
metal exposures?)
Exposure Biomarkers
Plasma Cr – Cr(III), some Cr(VI)
Erythrocyte or Lymphocyte Cr – source
mainly Cr(VI) [but is reduced to Cr(III)
within the cell]
Dose-response may be affected by plasma
reduction capacity
Markers of Biological Effects or Susceptibility
DNA-protein cross-links (DPC) in leukocytes
(assess biologically effective dose?)
Comet assay – detects DNA single-strand breaks
or incomplete repair, alkali-labile sites, DNA-DNA
or DNA-protein cross-linking
Susceptibility markers of extracellular reduction
capacity
– Ratio of Cr in erythrocytes to that in plasma
– Plasma ascorbate levels
– Plasma oxidative status
Methods & Procedures – I.
Identified factories with Cr exposure
Conducted walk-throughs to select
factories
Talked with management & then
employees about the study
Administered questionnaire re: smoking,
health status, etc. so as to select subjects
Methods & Procedures – II.
Physical exam
Personal exposure monitoring – one 8 hr shift
– Used personal monitor with pump
Urine sample at end of workday – for cotinine &
creatinine
10 ml blood sample – separated into plasma,
lymphocytes & erythrocytes
For 8 subjects monitored & blood on 3
successive Mondays
Methods & Procedures – III.
In year 1, obtained 25 exposed & 25 unexposed
(farmers >50 miles away)
In year 2, just completed obtaining exposure &
bloods on another 125 exposed & 30 unexposed
Subjects in year 1 were mostly highly exposed,
those in year 2 have a broad range of lower
exposures
Each year spent >1 mo. in China collecting data
Principal Statistical Analyses
Examine reproducibility of biomarker
Determine initial sensitivity of biomarker
assay to detect high-exposure effects
Examine slope & shape of exposure-
response curve
Evaluate sensitivity of biomarker at lower
exposure levels
Statistical Analyses – Other
Considerations
Control for possible confounding variables:
age, sex, smoking
For Cr(VI), evaluate & adjust for
exposures to Cr(III) & to nickel
Is Cr(VI) exposure-response relation
modified by plasma reduction capacity,
serum vitamin C or oxidative status?
2.0
Cr in RBC [Log(xug/1012 RBC)]
1.5
1.0
0.5
y = 2.1621x + 0.3563
R = 0.6541
0.0 P<0.0001
0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7
-0.5
Cr(VI) Exposure [Ln(1 + xm g/m 3)
Fig. 1 Correlation between personal exposure and Cr
levels in RBC
120
Scores of Comet Assay
100
80
60
40 y = 105.81x + 27.955
R = 0.5615
20 P<0.0001
0
0.0 0.2 0.4 0.6 0.8
Cr(VI) Exposure [Ln(1+x m g/m 3)]
Fig. 3 Correlation between comet scores and
personal exposure to Cr(VI)
Scores of Comet Assay 100
80
60
40 y = 39.615x + 15.69
R = 0.6951
20 P<0.0001
0
-0.5 0.0 0.5 1.0 1.5 2.0
Cr in RBC [log(x ug/1012 RBC)]
Fig. 4 Correlation between comet scores and Cr
levels in RBC
4
8-OHdG [log(x ug/g creatinine)]
3
2
y = 1.5366x + 1.4265
R = 0.8085
P<0.0001
1
0
-0.5 0.0 0.5 1.0 1.5 2.0
Cr in RBC [log(x ug/10 12 RBC)]
Fig. 6 Correlation between urinary 8-OHdG and Cr
levels in RBC
Biomarkers and Risk
Assessment for Chromium(VI)
Qingshan Qu, MD (PI)
qingshan@env.med.nyu.edu
Dept. of Environmental Med.
NYU School of Medicine
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