Literature DB >> 26728287

Urinary polyaromatic hydrocarbons are associated with adult celiac disease and kidney stones: USA NHANES, 2011-2012.

Ivy Shiue1,2.   

Abstract

Links between environmental chemicals and human health have emerged over the last few decades, but the effects from polyaromatic hydrocarbons (PAH) were less studied, compared to other commonly known environmental chemicals such as heavy metals, phthalates, arsenic, phenols, and pesticides. Therefore, it was aimed to study the relationships of urinary PAH and adult digestive conditions using a large human sample in a national and population-based study in recent years. Data was retrieved from the US National Health and Nutrition Examination Surveys, 2011-2012 including demographics, self-reported health conditions, and urinary PAH. Statistical analyses included chi-square test, t test, survey-weighted logistic regression modeling, and population attributable risk (PAR) estimation. Of 5560 American adults aged 20-80 and included in the statistical analysis, urinary 4-hydroxyphenanthrene was significantly associated with celiac disease (odds ratio (OR) 1.61, 95% confidence interval (CI) 1.14-2.26, P = 0.009). In addition, urinary 2-hydroxyfluorene (OR 1.35, 95% CI 1.02-1.78, P = 0.038), 3-hydroxyfluorene (OR 1.35, 95% CI 1.07-1.70, P = 0.015), 1-hydroxyphenanthrene (OR 1.48, 95% CI 1.08-2.03, P = 0.017), 1-hydroxypyrene (OR 1.36, 95% CI 1.05-1.77, P = 0.023), and 2-hydroxynapthalene (OR 1.25, 95% CI 1.00-1.58, P = 0.054) were significantly associated with kidney stones, although not necessarily failing kidney. There were no statistically significant associations observed in the relationship of urinary PAH and liver problems, although higher levels of PAHs were observed. Urinary PAHs are associated with adult digestive conditions, although the causality cannot be established. From the research perspective, longitudinal monitoring from observational studies and experimental research understanding mechanism would be suggested. Regulation of minimizing PAHs exposure might need to be considered in future health and environmental policies.

Entities:  

Keywords:  Celiac disease; Environmental health; Kidney; Polyaromatic hydrocarbons; Risk assessment; Risk factor

Mesh:

Substances:

Year:  2016        PMID: 26728287      PMCID: PMC4737811          DOI: 10.1007/s11356-015-5980-7

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


Introduction

Evidence before this study

Links between environmental chemicals and human health including self-rated health, hypertension, cardiovascular disease, food allergy, oral health, emotional support, and cognitive function in American adults have emerged (Shiue 2013a, b, c, 2014, 2015a, b, c, d, e), but the effects from polyaromatic hydrocarbons (PAHs) were less studied, compared to other commonly known environmental chemicals such as heavy metals, arsenic, phenols, and phthalates. PAHs constitute a group of chemicals that people could be exposed via vehicle exhausts, asphalt, coal tar, wild fires, agricultural burning, soil, charbroiled foods, and tobacco smoke. Approximately, everyone could be exposed to PAHs on a daily basis from multiple sources. PAH pollution may have significant health implications, and the extent of damage to organisms from PAH exposure could be dependent on several factors including degrees and types of PAH exposure (Ball and Truskewycz 2013).

Knowledge gap

Previously, animal models under a laboratory condition using rodents showed that exposure to PAHs adversely affected immunologic health (Luebke et al. 1997). However, research in this topic from a human sample has not been well conducted. Providing evidence using a human sample might help environmental health promotion in the next few years. Recently, associations of PAHs and cardiovascular, oral, emotional, and self-rated health have been observed (Shiue 2015a, b, c, d, e), but those on digestive health have not been documented. Following this context, therefore, the present study aimed to examine the relationships of urinary PAHs and adult digestive conditions using a large human sample in a national and population-based setting in recent years.

Methods

Study sample

As described elsewhere (Centers for Disease Control and Prevention 2012), US National Health and Nutrition Examination Surveys (NHANES) has been a national, population-based, multi-year, cross-sectional study since the 1980s. Study samples are a representative sample of the civilian, non-institutionalized US population. Information on demographics (more details via http://wwwn.cdc.gov/nchs/nhanes/2011-2012/DEMO_G.htm), serum cotinine (more details via http://wwwn.cdc.gov/nchs/nhanes/2011-2012/COTNAL_G.htm), and self-reported health conditions (more details via http://wwwn.cdc.gov/nchs/nhanes/2011-2012/MCQ_G.htm) was obtained by household interview using questionnaires. In the current analysis, the most recent study cohort in 2011–2012 with data on urinary PAHs was selected. Informed consents were obtained from participating subjects by the NHANES researchers.

Biomonitoring

Urines were only collected in a subsample, being one third of the whole study cohort with representation (more details via http://www.cdc.gov/nchs/data/nhanes/nhanes_09_10/homeurine.pdf), to measure environmental chemical concentrations in urines among people aged 6 and above (more details via http://www.cdc.gov/nchs/nhanes/nhanes2011-2012/labdoc_g.htm). Urine specimens from urinary PAH were processed, stored under appropriate frozen (−20 °C) conditions, and shipped to the Division of Environmental Health Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention for analysis. According to the NHANES website (more details via http://www.cdc.gov/nchs/data/nhanes/nhanes_11_12/PAH_G_met.pdf), the procedure involved enzymatic hydrolysis of glucuronidated/sulfated OH-polyaromatic hydrocarbons metabolites in urine, extraction, derivatization, and analysis using isotope dilution capillary gas chromatography tandem mass spectrometry (GC-MS/MS). Ion transitions specific to each analyte and carbon-13-labeled internal standards are monitored, and the abundances of each ion are measured. Since urinary PAHs were highly skewed, they were all log transformed when performing the statistical analyses.

Statistical analysis

Adults aged 20 and above were included in the current statistical analysis since chronic diseases were commonly reported in adults. Associations of urinary PAHs and adult self-reported digestive conditions were examined by using t test and survey-weighted logistic regression model, presenting with mean values, odds ratios (OR), 95 % confidence intervals (CI), and P values. Covariates including urinary creatinine, age, sex, ratio of family income to poverty (proxy of socioeconomic status, calculated by dividing family (or individual) income by the poverty guidelines specific to the survey year; more details via http://wwwn.cdc.gov/Nchs/Nhanes/2011-2012/DEMO_G.htm), body mass index, education level, serum cotinine (biomarker of smoking status), alcohol status (>12 drinks currently or not), and physical activity level (moderate recreational activity or not) were adjusted. In addition, population attributable risks from urinary PAHs, which significant associations were found, were calculated based on the formula introduced by Fleiss (1979). Statistical software STATA version 13.0 (STATA, College Station, Texas, USA) was used to perform all the analyses.

Ethics consideration

Since there are only secondary data analyses employed without any participant personal information identified by extracting statistical data from the NHANES website in the present study, no further ethics approval for conducting the present study is required (more details via http://www.ethicsguidebook.ac.uk/Secondary-analysis-106).

Results

The characteristics of 5560 American adults aged 20–80 and included in the statistical analysis are shown in Table 1. The presence of different digestive conditions in the American adult population varied since some are common while some are rare. They are shown in Table 2. In Tables 3, 4, 5, 6, 7, 8, 9, 10, and 11, associations of 10 urinary PAHs and adult digestive conditions are presented separately. Specifically, urinary 4-hydroxyphenanthrene was significantly associated with celiac disease (OR 1.61, 95 % CI 1.14–2.26, P = 0.009). In addition, urinary 2-hydroxyfluorene (OR 1.35, 95 % CI 1.02–1.78, P = 0.038), 3-hydroxyfluorene (OR 1.35, 95 % CI 1.07–1.70, P = 0.015), 1-hydroxyphenanthrene (OR 1.48, 95 % CI 1.08–2.03, P = 0.017), 1-hydroxypyrene (OR 1.36, 95 % CI 1.05–1.77, P = 0.023), and 2-hydroxynapthalene (OR 1.25, 95 % CI 1.00–1.58, P = 0.054) were significantly associated with kidney stones, although not necessarily failing kidney. However, there were no statistically significant associations observed in the relationship of urinary PAHs and liver problem, although there were trends toward higher levels of urinary PAHs in people with liver problem. In a subsequent analysis where infection and nutrients were also adjusted, the significant associations have remained (data not shown).
Table 1

Characteristics of the included participants aged 20–80 (n = 5560)

Number (%) or mean ± SD
Age48.9 ± 17.9
 20–391957 (35.2)
 40–591812 (32.6)
 60–801791 (32.2)
Sex
 Male2740 (49.3)
 Female2820 (50.7)
Body mass index28.8 ± 6.9
 <18.51103 (1.9)
 18.5–24.91577 (28.4)
 25–29.91684 (30.3)
 30+2196 (39.5)
Ratio of family income to poverty
 0–4.94199 (75.5)
 5+1361 (24.5)
Education level
 Less than 9th grade550 (9.9)
 9–11th grades782 (14.1)
 High school graduate or equivalent1169 (21.0)
 Some college or AA degree1657 (29.8)
 College graduate or above1397 (25.2)
Serum cotinine (ng/mL)52.1 ± 120.2
Alcohol status
 >12 drinks3413 (72.8)
 Less than 12 drinks1275 (27.2)
Physical activity level
 Engaging moderately2297 (41.3)
 None3262 (58.7)
Celiac disease18 (0.3)
Liver problem219 (3.9)
Weak/failing kidney200 (3.6)
Kidney stones458 (8.3)
Table 2

Associations between 2-hydroxyfluorene (ng/L) and adult health (n = 1670)

PresentAbsent P valueOR (95 % CI)a P valuePopulation attributable risk
Celiac disease1073.3 (1478.6)599.0 (1059.9)0.2081.48 (0.28–7.88)0.630
Liver problem705.4 (1021.3)597.3 (1063.8)0.4140.93 (0.65–1.34)0.678
Weak/failing kidney567.1 (701.6)602.5 (1072.8)0.8051.14 (0.81–1.61)0.432
Kidney stones641.4 (984.7)597.5 (1070.3)0.6261.35 (1.02–1.78)0.0382.8 % (0.2–6.1 %)

aAdjusted for urine creatinine, age, sex, body mass index, ratio of family income to poverty, education level, serum cotinine, alcohol habit, physical activity level, and subsampling weighting

Table 3

Associations between 3-hydroxyfluorene (ng/L) and adult health (n = 1670)

PresentAbsent P valueOR (95 % CI)a P valuePopulation attributable risk
Celiac disease543.9 (790.2)294.4 (613.2)0.2522.03 (0.31–13.12)0.436
Liver problem339.3 (615.1)293.9 (614.2)0.5531.00 (0.66–1.52)0.994
Weak/failing kidney245.7 (402.1)297.5 (620.4)0.5350.98 (0.75–1.29)0.899
Kidney stones303.7 (547.2)295.1 (621.0)0.8701.35 (1.07–1.70)0.0152.8 % (0.4–3.6 %)

aAdjusted for urine creatinine, age, sex, body mass index, ratio of family income to poverty, education level, serum cotinine, alcohol habit, physical activity level, and subsampling weighting

Table 4

Associations between 9-hydroxyfluorene (ng/L) and adult health (n = 1670)

PresentAbsent P valueOR (95 % CI)a P valuePopulation attributable risk
Celiac disease583.8 (565.8)518.4 (869.6)0.8321.40 (0.88–2.22)0.148
Liver problem590.2 (774.0)516.3 (872.0)0.4950.91 (0.51–1.63)0.736
Weak/failing kidney604.8 (942.0)515.9 (866.1)0.4481.38 (0.69–2.75)0.335
Kidney stones561.0 (743.9)514.7 (880.3)0.5301.21 (0.98–1.50)0.075

aAdjusted for urine creatinine, age, sex, body mass index, ratio of family income to poverty, education level, serum cotinine, alcohol habit, physical activity level, and subsampling weighting

Table 5

Associations between 1-hydroxyphenanthrene (ng/L) and adult health (n = 1670)

PresentAbsent P valueOR (95 % CI)a P valuePopulation attributable risk
Celiac disease240.4 (184.3)201.5 (286.0)0.7012.02 (0.71–5.71)0.173
Liver problem188.9 (172.3)202.4 (289.3)0.7040.78 (0.42–1.45)0.401
Weak/failing kidney188.3 (260.1)202.2 (286.6)0.7171.30 (0.72–2.34)0.367
Kidney stones217.5 (226.0)200.2 (291.0)0.4751.48 (1.08–2.03)0.0172.5 % (0.4–5.3 %)

aAdjusted for urine creatinine, age, sex, body mass index, ratio of family income to poverty, education level, serum cotinine, alcohol habit, physical activity level, and subsampling weighting

Table 6

Associations between 2-hydroxyphenanthrene (ng/L) and adult health (n = 1670)

PresentAbsent P valueOR (95 % CI)a P valuePopulation attributable risk
Celiac disease162.4 (153.9)108.4 (152.2)0.3172.06 (0.80–5.26)0.124
Liver problem119.6 (115.4)108.3 (153.5)0.5550.87 (0.46–1.65)0.645
Weak/failing kidney81.1 (83.8)109.6 (153.9)0.1640.95 (0.51–1.77)0.873
Kidney stones116.5 (133.5)107.8 (153.9)0.5001.43 (0.97–2.09)0.068

aAdjusted for urine creatinine, age, sex, body mass index, ratio of family income to poverty, education level, serum cotinine, alcohol habit, physical activity level, and subsampling weighting

Table 7

Associations between 3-hydroxyphenanthrene (ng/L) and adult health (n = 1670)

PresentAbsent P valueOR (95 % CI)a P valuePopulation attributable risk
Celiac disease183.5 (187.2)122.3 (228.7)0.4501.82 (0.54–6.14)0.312
Liver problem134.4 (185.5)122.1 (230.1)0.6660.87 (0.44–1.71)0.666
Weak/failing kidney92.3 (109.8)123.5 (231.4)0.3141.00 (0.69–1.45)0.991
Kidney stones117.2 (132.0)123.0 (236.0)0.7641.35 (0.99–1.85)0.058

aAdjusted for urine creatinine, age, sex, body mass index, ratio of family income to poverty, education level, serum cotinine, alcohol habit, physical activity level, and subsampling weighting

Table 8

Associations between 1-hydroxypyrene (ng/L) and adult health (n = 1670)

PresentAbsent P valueOR (95 % CI)a P valuePopulation attributable risk
Celiac disease193.1 (141.6)202.9 (330.0)0.9331.30 (0.29–5.83)0.721
Liver problem233.4 (359.1)201.8 (328.2)0.4421.00 (0.62–1.63)0.988
Weak/failing kidney136.9 (192.3)205.3 (333.0)0.1270.80 (0.63–1.01)0.057
Kidney stones204.2 (278.9)202.9 (334.3)0.9651.36 (1.05–1.77)0.0231.9 % (0.3–4.0 %)

aAdjusted for urine creatinine, age, sex, body mass index, ratio of family income to poverty, education level, serum cotinine, alcohol habit, physical activity level, and subsampling weighting

Table 9

Associations between 1-hydroxynapthalene (1-naphthol) (ng/L) and adult health (n = 1670)

PresentAbsent P valueOR (95 % CI)a P valuePopulation attributable risk
Celiac disease6372.8 (7289.4)37,428.0 (602,343.9)0.8841.34 (0.97–1.86)0.076
Liver problem187,972.7 (1,462,008.0)31,118.9 (537,358.8)0.0360.99 (0.80–1.22)0.930
Weak/failing kidney217,324.0 (1,585,249.0)31,089.0 (536,058.9)0.0220.91 (0.70–1.17)0.436
Kidney stones99,028.9 (1,035,260.0)31,252.8 (540,238.8)0.1841.04 (0.88–1.24)0.601

aAdjusted for urine creatinine, age, sex, body mass index, ratio of family income to poverty, education level, serum cotinine, alcohol habit, physical activity level, and subsampling weighting

Table 10

Associations between 2-hydroxynapthalene (2-naphthol) (ng/L) and adult health (n = 1670)

PresentAbsent P valueOR (95 % CI)a P valuePopulation attributable risk
Celiac disease10,106.8 (10,404.5)8905.0 (12,106.0)0.7791.49 (0.78–2.86)0.214
Liver problem11,097.9 (14,134.9)8820.5 (12,002.4)0.1311.04 (0.66–1.62)0.868
Weak/failing kidney8867.4 (10,518.2)8912.5 (12,154.7)0.9780.78 (0.58–1.06)0.105
Kidney stones9490.2 (10,811.0)8839.1 (12,215.2)0.5251.25 (1.00–1.58)0.0541.3 % (0–3.0 %)

aAdjusted for urine creatinine, age, sex, body mass index, ratio of family income to poverty, education level, serum cotinine, alcohol habit, physical activity level, and subsampling weighting

Table 11

Associations between 4-hydroxyphenanthrene (ng/L) and adult health (n = 1670)

PresentAbsent P valueOR (95 % CI)a P valuePopulation attributable risk
Celiac disease41.4 (45.2)35.0 (51.4)0.7421.61 (1.14–2.26)0.0090.2 % (n/a)
Liver problem48.0 (117.0)34.5 (46.8)0.0360.71 (0.37–1.37)0.291
Weak/failing kidney29.0 (32.5)35.3 (51.9)0.3611.14 (0.62–2.07)0.659
Kidney stones35.0 (40.5)35.1 (52.4)0.9831.33 (0.95–1.86)0.093

aAdjusted for urine creatinine, age, sex, body mass index, ratio of family income to poverty, education level, serum cotinine, alcohol habit, physical activity level, and subsampling weighting

Characteristics of the included participants aged 20–80 (n = 5560) Associations between 2-hydroxyfluorene (ng/L) and adult health (n = 1670) aAdjusted for urine creatinine, age, sex, body mass index, ratio of family income to poverty, education level, serum cotinine, alcohol habit, physical activity level, and subsampling weighting Associations between 3-hydroxyfluorene (ng/L) and adult health (n = 1670) aAdjusted for urine creatinine, age, sex, body mass index, ratio of family income to poverty, education level, serum cotinine, alcohol habit, physical activity level, and subsampling weighting Associations between 9-hydroxyfluorene (ng/L) and adult health (n = 1670) aAdjusted for urine creatinine, age, sex, body mass index, ratio of family income to poverty, education level, serum cotinine, alcohol habit, physical activity level, and subsampling weighting Associations between 1-hydroxyphenanthrene (ng/L) and adult health (n = 1670) aAdjusted for urine creatinine, age, sex, body mass index, ratio of family income to poverty, education level, serum cotinine, alcohol habit, physical activity level, and subsampling weighting Associations between 2-hydroxyphenanthrene (ng/L) and adult health (n = 1670) aAdjusted for urine creatinine, age, sex, body mass index, ratio of family income to poverty, education level, serum cotinine, alcohol habit, physical activity level, and subsampling weighting Associations between 3-hydroxyphenanthrene (ng/L) and adult health (n = 1670) aAdjusted for urine creatinine, age, sex, body mass index, ratio of family income to poverty, education level, serum cotinine, alcohol habit, physical activity level, and subsampling weighting Associations between 1-hydroxypyrene (ng/L) and adult health (n = 1670) aAdjusted for urine creatinine, age, sex, body mass index, ratio of family income to poverty, education level, serum cotinine, alcohol habit, physical activity level, and subsampling weighting Associations between 1-hydroxynapthalene (1-naphthol) (ng/L) and adult health (n = 1670) aAdjusted for urine creatinine, age, sex, body mass index, ratio of family income to poverty, education level, serum cotinine, alcohol habit, physical activity level, and subsampling weighting Associations between 2-hydroxynapthalene (2-naphthol) (ng/L) and adult health (n = 1670) aAdjusted for urine creatinine, age, sex, body mass index, ratio of family income to poverty, education level, serum cotinine, alcohol habit, physical activity level, and subsampling weighting Associations between 4-hydroxyphenanthrene (ng/L) and adult health (n = 1670) aAdjusted for urine creatinine, age, sex, body mass index, ratio of family income to poverty, education level, serum cotinine, alcohol habit, physical activity level, and subsampling weighting

Discussion

Previous research synthesis

As mentioned earlier, literature on the effects of PAHs on human health is less than the other environmental chemicals, such as heavy metals, pesticides, arsenic, and phthalates. This is particularly apparent in the relationship of PAHs and digestive conditions. PAHs have been known as toxic chemicals and could affect renal function. Previously, PAHs were not found to be associated with renal cancer risk in Americans (Karami et al. 2011) but associated with kidney damage in Italians (Lacquaniti et al. 2012). The current findings in the present study were similar to those previous observations showing that PAHs were associated with kidney stones but not failing kidney in American adults. Animal studies using Swiss mouse and rats in vitro also presented that PAHs could damage the kidney (Krajka-Kuźniak and Baer-Dubowska 2003; Roos 2002; Bondy et al. 1995; Bowes and Ramos 1994). In other words, it is likely that PAHs could exacerbate kidney dysfunction but not necessarily lead to fatal events. One of the reasons might be that the study sample was not exposed to the exceeding toxic level. On the other hand, it was observed that people with celiac disease had higher levels of PAHs in the present study. However, no literature has addressed the potential link. Therefore, no comparison could be made and discussed.

Strengths and limitations

The present study has a few strengths. First, this study was conducted in a large and nationally representative population with mixed ethnicities and socioeconomic status. Second, this is the first time to examine the risk effects of urinary PAHs on adult digestive conditions. However, there are also a few limitations that cannot be ignored. First, there could be still other emerging chemicals from the living environments through different channels/vehicles that we might not yet know and would need future research to further identify and examine. Second, other subtypes of disease of the digestive system were not available in the current limited dataset nor clinical measures for these specific diseases. Third, some disease events, such as celiac disease, were still suffering from small number in the statistical analysis due to the fact that it is not a very common disease. Therefore, some associations could be underestimated. Fourth, causality cannot be established in the present study due to the cross-sectional study design in nature. Future studies with a longitudinal study design to confirm or refute the current findings and, if at all, to understand the persisting risk effects along the life course from those environmental chemicals mentioned above would be suggested.

Research, practice, and policy implications

In summary, urinary PAHs were positively associated with adult celiac diseases and kidney stones. From the research perspective, longitudinal monitoring from observational studies and experimental research understanding mechanism would be suggested. From the law and human health perspectives, regulation of minimizing PAHs exposure for humans might need to be considered in future health and environmental policies and intervention programs.
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