| Literature DB >> 36141477 |
Claudia Galeano-Páez1, Dina Ricardo-Caldera2, Luisa Jiménez-Vidal1, Ana Peñata-Taborda1, Andrés Coneo-Pretelt1, Margarita Rumié-Mendoza1, Alicia Humanez Álvarez1, Shirley Salcedo-Arteaga1, Gean Arteaga-Arroyo1, Karina Pastor-Sierra1, Pedro Espitia-Pérez1, Paula A Avilés-Vergara2, Catalina Tovar-Acero2, Sara Soto-De León2, Hugo Brango3, Osnamir Elias Bru-Cordero4, Marvin Jiménez-Narváez5, Elena E Stashenko6, Edna M Gamboa-Delgado7, Alvaro J Idrovo8, Lyda Espitia-Pérez1.
Abstract
Oil exploitation, drilling, transportation, and processing in refineries produces a complex mixture of chemical compounds, including polycyclic aromatic hydrocarbons (PAHs), which may affect the health of populations living in the zone of influence of mining activities (PZOI). Thus, to better understand the effects of oil exploitation activities on cytogenetic endpoint frequency, we conducted a biomonitoring study in the Hitnü indigenous populations from eastern Colombia by using the cytokinesis micronucleus cytome assay (CBMN-cyt). PAH exposure was also measured by determine urine 1-hydroxypyrene (1-OHP) using HPLC. We also evaluated the relationship between DNA damage and 1-OHP levels in the oil exploitation area, as well as the modulating effects of community health factors, such as Chagas infection; nutritional status; and consumption of traditional hallucinogens, tobacco, and wine from traditional palms. The frequencies of the CBMN-cyt assay parameters were comparable between PZOI and Hitnü populations outside the zone of influence of mining activities (POZOI); however, a non-significant incremental trend among individuals from the PZOI for most of the DNA damage parameters was also observed. In agreement with these observations, levels of 1-OHP were also identified as a risk factor for increased MN frequency (PR = 1.20) compared to POZOI (PR = 0.7). Proximity to oil exploitation areas also constituted a risk factor for elevated frequencies of nucleoplasmic bridges (NPBs) and APOP-type cell death. Our results suggest that genetic instability and its potential effects among Hitnü individuals from PZOI and POZOI could be modulated by the combination of multiple factors, including the levels of 1-OHP in urine, malnutrition, and some traditional consumption practices.Entities:
Keywords: CBMN cyt; Hitnü people; PAH; oil exploitation
Mesh:
Substances:
Year: 2022 PMID: 36141477 PMCID: PMC9517229 DOI: 10.3390/ijerph191811189
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 4.614
Figure 1Location of Hitnü settlements in the study area.
Main demographic characteristics of Hitnü indigenous people participating in the study (n = 98).
| Group | Individuals from | Individuals from PZOI |
|---|---|---|
| Number of individuals ( | 40 | 58 |
| Individuals by area ( | ||
| Bello Horizonte | 2 | |
| Caño Jesus | 5 | |
| Aspejená | 33 | |
| Las Vegas | 29 | |
| Monogarra | 18 | |
| La Ilusión | 11 | |
|
| 18 (45) | 29 (50) |
| Age (mean ± SD) | 36.1 ± 15.5 | 21.1 ± 10.9 |
|
| 22 (55) | 29 (50) |
| Age (mean ± SD) | 29.3 ± 12.9 | 27.9 ± 18.9 |
|
| ||
| Yopo consumers | 1 (2.5) | 17 (29.3) |
| Tobacco consumers | 7 (17.5) | 24 (41.3) |
| Palm wine ( | 11 (27.5) | 31 (53.4) |
1 SD: standard deviation.
Comparison of CBMN-cyt assay parameters among individuals from POZOI and PZOI.
| Parameter and Variables | Individuals from | Individuals from | |||||
|---|---|---|---|---|---|---|---|
| n | Mean ± SD | P50 (P25–P75) | n | Mean ± SD | P50 (P25–P75) | ||
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| Total population | 40 | 3.72 ± 2.94 | 3.0 (2.00–5.00) | 58 | 5.98 ± 6.35 | 4.0 (200–8.75) | 0.22 |
| Women | 18 | 3.11 ± 2.65 | 3.0 (1.25–4.00) | 29 | 6.24 ± 6.08 | 5.0 (2.00–8.00) | 0.06 |
| Men | 22 | 4.22 ± 3.13 | 3.5 (2.25–5.75) | 29 | 5.72 ± 6.70 | 3.0 (1.00–9.00) | 0.93 |
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| Total population | 40 | 0.85 ± 1.57 | 0.0 (0.00–1.00) | 58 | 1.56 ± 2.02 |
|
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| Women | 18 | 0.88 ± 1.49 | 0.0 (0.00–1.75) | 29 | 1.79 ± 2.32 | 1.0 (0.00–3.00) | 0.15 |
| Men | 22 | 0.81 ± 1.68 | 0.0 (0.00–1.00) | 29 | 1.34 ± 1.69 | 1.0 (0.00–2.00) | 0.11 |
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| Total population | 40 | 0.30 ± 0.72 | 0.0 (0.00–0.00) | 58 | 0.15 ± 0.48 | 0.0 (0.00–0.00) | 0.30 b |
| Women | 18 | 0.33 ± 0.68 | 0.0 (0.00–0.00) | 29 |
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|
|
| Men | 22 | 0.27 ± 0.76 | 0.0 (0.00–0.00) | 29 | 0.27 ± 0.64 | 0.0 (0.00–0.00) | 0.78 |
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| Total population | 40 | 2.27 ± 3.31 | 1.0 (0.00–3.25) | 58 | 5.77 ± 8.70 | 1.0 (0.00–9.00) | 0.22 |
| Women | 18 | 1.72 ± 2.76 | 0.0 (0.00–2.75) | 29 | 5.24 ± 8.42 | 1.0 (0.00–7.00) | 0.21 |
| Men | 22 | 2.72 ± 3.70 | 1.5 (0.00–3.75) | 29 | 6.31 ± 9.09 | 1.0 (0.00–9.00) | 0.54 |
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| Total population | 40 | 1.22 ± 2.54 | 1.0 (0.00–1.00) | 58 | 1.39 ± 2.74 | 1.0 (0.00–1.00) | 0.84 |
| Women | 18 | 0.61 ± 1.91 | 0.0 (0.00–0.00) | 29 | 1.89 ± 3.37 | 0.0 (0.00–1.00) | 0.12 |
| Men | 22 | 1.72 ± 2.91 | 0.0 (0.00–2.50) | 29 | 0.89 ± 1.85 | 1.0 (0.00–1.00) | 0.25 |
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| Total population | 40 | 2.07 ± 0.21 | 2.07 (1.99–2.18) | 58 | 2.01 ± 0.26 | 2.0 (1.86–2.12) | 0.10 |
| Women | 18 | 2.04 ± 0.19 | 2.00 (2.00–2.16) | 29 | 2.06 ± 0.27 | 2.0 (1.88–2.18) | 0.65 |
| Men | 22 | 2.09 ± 0.23 | 2.09 (1.97–2.22) | 29 | 1.95 ± 0.23 | 1.9 (1.83–2.11) | 0.07 |
Bold text indicates statistically significant values. SD: standard deviation. a Significant association in comparison to men with the same exposure status. b Significant association in comparison to individuals from POZOI.
Non-parametric Mann–Whitney test for urinary 1-OHP levels in study populations.
| Group |
| Mean ± SD 1 | G. Mean | Min–Max | |
|---|---|---|---|---|---|
| POZOI | 40 (40.82%) | 1.51 ± 1.00 | 1.31 ± 1.00 | 0.62–4.7 | 0.65 |
| PZOI | 58 (59.18%) | 1.49 ± 0.94 | 1.35 ± 7.10 | 0.62–6.7 | |
| Total | 98 (100%) | 1.50 ± 0.95 | 1.33 ± 8.98 | 0.62–6.7 |
1 SD: standard deviation; G.M: geometric mean.
Non-parametric chi-squared test for malnutrition signs in the study population.
| Malnutrition Signs | Individuals | Individuals from PZOI | Total Population | |
|---|---|---|---|---|
| Signs * | 21 (52.5%) | 34 (58.6%) | 55 (56.1%) | 0.6943 |
| Flaky and dry skin | 0 (0.0%) | 1 (1.7%) | 1 (1.0%) | 1.000 |
| Reddish hair | 3 (7.5%) | 9 (15.5%) | 12 (12.2%) | 0.3808 |
| Fine hair | 22 (55.0%) | 27 (46.6%) | 49 (50.0%) | 0.5375 |
| Facial swelling | 1 (2.5%) | 3 (5.2%) | 4 (4.1%) | 0.8904 |
| Absence of subcutaneous fat | 3 (7.5%) | 0 (0.0%) | 3 (3.1%) | 0.1281 |
| Abdominal distension | 2 (5.0%) | 1 (1.7%) | 3 (3.1%) | 0.7424 |
| Koilonychia | 2 (5.0%) | 4 (6.9%) | 6 (6.1%) | 1.000 |
| Emaciation | 2 (5.0%) | 1 (1.7%) | 3 (3.1%) | 0.7424 |
* Individuals with at least one malnutrition sign.
Main demographic characteristics and Chagas disease seroprevalence among the Hitnü indigenous population (n = 88).
| Group | Age | ELISA Chagas | ||
|---|---|---|---|---|
| (Mean ± SD 1) | Positive | Negative | ||
|
| 88 (100%) | 26.38 ± 14.27 | 45 (51.1%) | 43 (48.9%) |
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| Women | 44 (50%) | 22.82 ± 10.80 | 23 (52.3%) | 21 (47.7%) |
| Men | 44 (50%) | 29.93 ± 16.41 | 22 (50%) | 22 (50%) |
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| Number of individuals | 34 (100%) | 27.35 ± 12.24 | 14 (41.2%) | 20 (58.8%) |
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| Women | 17 (50%) | 25.12 ± 11.05 | 9 (52.9%) | 8 (47.1%) |
| Men | 17 (50%) | 29.59 ± 13.28 | 5 (29.4%) | 12 (70.6%) |
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| Number of individuals | 54 (100%) | 25.76 ± 15.49 | 31 (57.4%) | 23 (42.6%) |
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| Women | 27 (50%) | 21.37 ± 10.59 | 14 (51.9%) | 13 (48.1%) |
| Men | 27 (50%) | 30.15 ± 18.35 | 17 (63.0%) | 10 (37.0%) |
1 SD: standard deviation.
Figure 2PR for MN frequency based on a Poisson regression model for PZOI and POZOI groups. (A) Unadjusted and (B) adjusted for covariates.
Figure 3PR for NPB frequency based on a Poisson regression model for PZOI and POZOI groups. (A) Unadjusted and (B) adjusted for covariates.
Figure 4PR for NBUDs frequency based on a Poisson regression model for PZOI and POZOI groups. (A) Unadjusted and (B) adjusted for covariates.
Figure 5MN frequencies (bars) and 1-OHP levels (line chart) in Hitnü settlements included in the study. *** p ≤ 0.001; **** p ≤ 0.0001.