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Article

Comparative Biomonitoring of Arsenic Exposure in Mothers and Their Neonates in Comarca Lagunera, Mexico

by
José Javier García Salcedo
1,
Taehyun Roh
2,
Lydia Enith Nava Rivera
3,
Nadia Denys Betancourt Martínez
3,
Pilar Carranza Rosales
4,
María Francisco San Miguel Salazar
1,
Mario Alberto Rivera Guillén
1,
Luis Benjamín Serrano Gallardo
1,
María Soñadora Niño Castañeda
3,
Nacny Elena Guzmán Delgado
5,
Jair Millán Orozco
6,
Natalia Ortega Morales
5 and
Javier Morán Martínez
3,*
1
Departamento de Bioquímica y Farmacología, Centro de Investigaciones Biomédicas, Facultad de Medicina, Universidad Autónoma de Coahuila Torreón, Torreón 27000, Mexico
2
Department of Epidemiology and Biostatistics, School of Public Health, Texas A&M University, College Station, TX 77843, USA
3
Departamento de Biología Celular y Ultraestructura, Centro de Investigaciones Biomédicas, Facultad de Medicina, Universidad Autónoma de Coahuila Torreón, Torreón 27000, Mexico
4
Centro de Investigaciones Biomédicas del Noreste, Instituto Mexicano del Seguro Social, Monterrey 64000, Mexico
5
División de Investigaciones en Salud, Unidad Médica de Alta Especialidad, Hospital de Cardiología #34, Instituto Mexicano del Seguro Social, Monterrey 64000, Mexico
6
Unidad Laguna, Universidad Autónoma Agraria Antonio Narro, Raúl López Sánchez, Torreon 27000, Mexico
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2022, 19(23), 16232; https://doi.org/10.3390/ijerph192316232
Submission received: 16 October 2022 / Revised: 22 November 2022 / Accepted: 29 November 2022 / Published: 4 December 2022

Abstract

:
Multiple comorbidities related to arsenic exposure through drinking water continue to be public problems worldwide, principally in chronically exposed populations, such as those in the Comarca Lagunera (CL), Mexico. In addition, this relationship could be exacerbated by an early life exposure through the placenta and later through breast milk. This study conducted a comparative analysis of arsenic levels in multiple biological samples from pregnant women and their neonates in the CL and the comparison region, Saltillo. Total arsenic levels in placenta, breast milk, blood, and urine were measured in pregnant women and their neonates from rural areas of seven municipalities of the CL using atomic absorption spectrophotometry with hydride generation methodology. The average concentrations of tAs in drinking water were 47.7 µg/L and 0.05 µg/L in the exposed and non-exposed areas, respectively. Mean levels of tAs were 7.80 µg/kg, 77.04 µg/g-Cr, and 4.30 µg/L in placenta, blood, urine, and breast milk, respectively, in mothers, and 107.92 µg/g-Cr in neonates in the exposed group, which were significantly higher than those in the non-exposed area. High levels of urinary arsenic in neonates were maintained 4 days after birth, demonstrating an early arsenic exposure route through the placenta and breast milk. In addition, our study suggested that breastfeeding may reduce arsenic exposure in infants in arsenic-contaminated areas. Further studies are necessary to follow up on comorbidities later in life in neonates and to provide interventions in this region.

1. Introduction

Exposures to arsenic (As) can be assessed through different sources: contaminated food intake, cigarette consumption and occupational exposure, the use of certain cosmetics, and consumption through drinking water [1,2,3,4,5]. There are two types of arsenic, organic and inorganic arsenic. Organic arsenic such as arsenobetaine is present in fish and seafood and considered not or less toxic to humans [6]. In contrast, the most prevalent toxic inorganic forms, arsenite and arsenate, are found in drinking water and food grown in arsenic-contaminated areas, such as rice [1,7]. Previous studies reported that exposure to inorganic arsenic causes oxidative stress, inflammation, and epigenetic modifications, leading to increased susceptibility to many adverse health problems such as cancers, cardiovascular diseases, diabetes, and cognitive dysfunctions [8,9]. They are metabolized to monomethylarsonic acid (MMA) and dimethylarsinic acid (DMA) through methylation and eliminated through urine [10,11]. Although there are multiple sources of exposure to inorganic arsenic, drinking water is known to be the main source of exposure when the water arsenic level exceeds the current regulatory level of 10 ppb [12].
Exposure to inorganic arsenic through drinking water has been a major public health problem worldwide, with an estimated of 100–200 million people exposed, with American and Asian countries being the most prevalent locations, in which millions of people are consuming contaminated water with As concentrations greater than 50 µg/L, five times greater than the current WHO standard (10 µg/L) [5,13]. As a result of this exposure, people with greater susceptibility, such as children and pregnant women, have been experiencing negative consequences, since inorganic arsenic has been associated with adverse effects during pregnancy, such as spontaneous abortions, fetal death, impaired fetal growth [14,15,16], and postnatal implications, such as neurodevelopment problems, respiratory and digestive morbidity [17,18,19], as well as increased risks of diseases in later life in populations with early-life exposure to the metalloid [20,21,22]. Early life exposures are mediated by the passage of arsenic through the placenta, since elevated placental concentrations have been related to high concentrations in maternal and infants’ urine [23], or through the consumption of breast milk from mothers who had arsenic-contaminated drinking water [24,25,26].
In Mexico, arsenic concentrations in water range from 7 to 600 µg/L, which are generally beyond the established regulatory level in Mexico of 25 µg/L [27,28], corresponding to the recent studies showing the that average concentration of drinking water arsenic is 82 μg/L in the CL, northern Mexico [29]. Additionally, studies based on a cohort maintained in the CL proposed an inverse relationship between arsenic metabolism in pregnant women exposed to arsenic in drinking water and adverse birth outcomes, such as birth weight and gestational age [30]. However, there have been no studies comparing the exposure levels to this metalloid between the binomial (mother and neonate) through biomonitoring.
In order to identify an early arsenic-exposure route in the CL child population, we assessed the determination of total arsenic levels in different binomial samples including blood, urine, placenta, and breast milk, in addition to contrasting them with samples from a comparison population not belonging to the CL region, without arsenic exposure from drinking water.

2. Materials and Methods

2.1. Study Location and Subjects

The CL is located in the middle of the states of Durango and Coahuila in Northern Mexico. This semi-arid area is one of the hotspots of groundwater arsenic contamination in the world, and elevated levels of arsenic have been reported in this area. Our previous study reported high levels of drinking water arsenic in this region, ranging from 20.6 to 709.3 µg/L [31]. Therefore, the residents in this area were considered as potentially exposed to high concentrations of arsenic from their drinking water.
Our initial study was conducted to assess the arsenic levels in drinking water and breast milk samples collected from 75 mothers in the rural areas of seven municipalities of two states (Durango and Coahuila) within the CL, and 39 mothers as a non-exposed comparison group from the municipality of Saltillo in the State of Coahuila, located in a straight line approximately 257 km away from the region with the exposure.
Our main study was expanded to assess arsenic exposure in both mothers and their newborns in the region. Eighty-three pairs of pregnant women and their newborns were recruited as the exposure group from the rural areas of seven municipalities in two states (Durango and Coahuila) in the Comarca Lagunera Region (Figure 1). In addition, 14 pairs of pregnant women and their newborns were recruited as a non-exposed comparison group from the municipality of Saltillo in the State of Coahuila. The inclusion criteria for both groups included factors such as being clinically healthy without any pathologies related to exposure to high levels of arsenic, having lived in the regions described for a minimum period of one year, and not having ingested seafood 8 days before collecting samples.

2.2. Sample Collection

Maternal blood and urine samples were taken from the mother immediately before delivery, as well as from the umbilical cord blood at birth. Both samples were collected in EDTA tubes as an anticoagulant. For the placental samples, these were taken from the top of the umbilical cord and washed repeatedly with an isotonic saline solution until all the blood residue was removed. Then, they were placed on absorbent paper to remove moisture excess and subsequently crushed and stored at −20 °C until analysis. Neonatal urine samples were taken 3 and 4 days after delivery. Breast milk samples for both studies were collected within 15 days after delivery, with prior personal hygiene, using a manual pump. The samples were transported cold and stored at −20 °C until processing.

2.3. Arsenic Determination

All samples were processed by wet digestion by the modified Cox method [32]. Total arsenic concentrations in water and biological samples were determined using a PerkinElmer Flow Injection Hydride Generation Atomic Absorption Spectrophotometer (Model AnalystTM 200, Waltham, MA, USA). For QA/QC purposes, the US National Institute of Standards and Technologies (NIST, Gaithersburg, MD, USA)-certified Standard Reference Materials for water (SRM 1643c), urine (SRM 2670), and bovine liver standard (SRM 1557c) for the placenta and breast milk were used. The sodium arsenite was obtained from Sigma Chemical Co. (St Louis, MO, USA), and all other reagents were obtained from Baker (Mexico). Distilled, deionized water was used for all analytical work; glassware was soaked in 10% nitric acid, rinsed with double-distilled water, and dried before use. The recovery rates ranged from 90% to 110% with the coefficients of variation between 0.5% and 12% based on calibration curves from standard solutions spiked with 10, 20, and 40 ng of total As. The limit of detection was 2.7 µg/L. Urinary creatinine was analyzed by the Jaffe method [33].

2.4. Ethical Considerations

In this study, all participants signed an informed consent letter. In this document, participants received information on the objectives of the study, as well as the potential benefits and risks. The study was approved by the Bioethics Committee of the School of Medicine of the Autonomous University of Coahuila, Campus Torreon, Coahuila, Mexico (approval by Secretaría de Salud and Comisiόn Nacional de Bioética in Mexico No. CONBIOETICA07CEI00320131015). It was explained that the risks were minimal since the participating mothers were only subjected to the collection of one blood sample per venipuncture.

2.5. Statistical Analysis

For the description of the data, mean, standard deviation, and ranges were used. The arsenic detection rates in breast milk samples between the groups were compared using a chi-square test. The comparison of the total As concentrations in each medium between the groups was performed through paired t-tests. The level of significance was established as α = 0.05, a value of p < 0.05 was indicative of statistical significance, and a p < 0.01 was indicative of high statistical significance. The statistical package SPSS version 21 was used.

3. Results

The initial study revealed that the average concentrations of total As in the drinking water were 47.7 and 0.05 µg/L in the exposed and unexposed areas, respectively. Table 1 presents the arsenic levels in the breast milk samples collected from mothers in the initial study. The initial study showed that 33% of breast milk samples collected from 75 mothers in the exposed region had levels of arsenic greater than the limit of detection, 2.7 µg/L (mean 8.5, range ND–26.0 µg/L). In the unexposed region, 13% of the 39 samples had detectable arsenic levels (mean 5.3, range ND–7.3 µg/L). The rate of arsenic detection in breast milk samples in the exposed region was significantly higher than that in the unexposed region (p = 0.02).
In the main study, the arsenic levels in the maternal placenta, peripheral blood, urine, and breast milk were determined (Table 2). The average placental arsenic level was 7.80 µg/kg (range 0.3–33) in the exposed region, which was significantly higher than that in the non-exposed region. The average maternal urinary arsenic level was significantly higher in the exposed region (54.92 µg/L and 77.04 µg/g-Cr), compared to the non-exposed region (4.60 µg/L and 6.71 µg/g-Cr). The arsenic levels in maternal blood and breast milk samples were also higher in the exposed region, although they were not statistically significant.
The creatinine-adjusted urinary arsenic levels three days after birth were significantly higher in neonates in the exposed region (mean 107.92, range 15.8–671.8 µg/g-Cr), compared to those in the comparison region (mean 14.78, range 14.08–33.18 µg/g-Cr) (Figure 2). Average urinary arsenic levels 4 days after birth was 17.57 (range 12.47–22.67 µg/g-Cr) in neonates in the exposed region, while arsenic was not detected in neonates 4 days after birth in the non-exposed region. The blood arsenic levels were slightly higher in the exposed group, which was not statistically significant.

4. Discussion

Total arsenic levels in drinking water greater than the global standard level of 10 µg/L have been detected in multiple recent studies around the globe [34,35,36,37,38]. In this study, in the CL, a known hydroarsenicism region, high concentrations of arsenic in drinking water were detected with an average level of 47.7 µg/L, almost fivefold above the international standard level and two-fold above the permissible level established by Mexican regulations (25 µg/L). Similar levels have been reported by recent studies conducted in the CL in order to assess a relationship between genetic variability and arsenic metabolism with an average water arsenic level of 82 μg/L [29], as well as possible plasma biomarkers, in order to assess inorganic arsenic exposure with concentrations of 22.1 μg/L [39].
High levels of arsenic in drinking water have been intrinsically related to a high level of arsenic exposure and internal levels in the body, and these, in turn, have increased the risks of many negative health effects, principally in populations with chronic exposure [28], which is the case for the population included in this study. A relationship has been reported between early life exposure and the development of a variety of diseases, such as carcinogenesis, atherosclerosis, and respiratory diseases, and an increase in mortality from the same diseases in later life [40,41,42,43,44,45,46,47]. This means that early life is the principal vulnerable window of adverse health outcomes associated with environmental exposures [48,49].
A study conducted in the US evaluated the correlation between arsenic levels in mothers’ urine and placental arsenic levels and in infants’ [23]. In this study, arsenic concentrations in the placenta (0.76 ng/g) were positively associated with arsenic levels in household drinking water, maternal urine, and toenail, and infants’ toenail samples (averages 0.38 µg/L, 3.62 µg/L, 28 µg/g, and 68 µg/g), indicating that placental passage is a major exposure route in utero [23]. A study confirmed that 80% of arsenic undergoes transplacental transfer by diffusion and found a strong correlation between arsenic levels in umbilical cord blood and maternal urine and toenail [50,51]. A longitudinal study conducted in Bangladesh reported the medians of arsenic levels obtained in women and their children’s urine samples were 96 µg/L and 35 µg/L, with a median of 66 ug/L in drinking water, which showed similar levels of water and urinary arsenic to our study [52]. A US study found associations between maternal urinary arsenic levels and birth outcomes, such as a decrease in head circumference and low birth weight, and the average maternal urinary arsenic level was 3.4 ug/L, which is much lower than the levels found in our current study [53]. This means that the newborns in our study may experience more severe health outcomes, demonstrating the importance of our study to evaluate the current exposure, as well as the future follow-up and preparation of community-engaged intervention strategies. High As levels maintained by the neonates through 4 days after birth, considering the urinary elimination half times for arsenic, suggest that the arsenic levels in the neonates could be attributed to another arsenic source, such breast milk [54]. Blood samples obtained from both mother and neonate were extremely low in contrast with the other sample determinations, which is in agreement with the notion that blood is not a suitable medium to assess arsenic exposure [55].
Previous studies reported that breast milk did not contain a substantial quantity of inorganic arsenic, although mothers were exposed to high levels of arsenic [56,57,58]; however, there is still a lack of sufficient data. Our study provides additional evidence that the prevalence and levels of arsenic in breast milk samples were relatively low (33%), despite high arsenic exposure from drinking water and the significantly higher arsenic detection rates in the CL compared to the comparison area. Fangstrom et al., (2008) showed that most inorganic arsenic found in human breast milk was the trivalent form, and the higher efficiency of arsenic methylation during pregnancy and lactation led to faster excretion and very low level of trivalent inorganic arsenic, or levels below the limit of detection in mothers [13,59]. Our study found that the average arsenic levels were 47 µg/L in water and 4 µg/L in breast milk, indicating 10-times lower arsenic exposure in breast milk samples, suggesting that exclusive breastfeeding may protect infants from arsenic exposure compared to feeding with formula mixed with arsenic-contaminated water. This is consistent with previous studies claiming a protective effect of breastfeeding due to the low arsenic excretion in breast milk [60,61].
A limitation of the present study was the absence of surveys on other covariates, such as socioeconomic status and food consumption pattern. For example, food is another source of exposure. When arsenic levels in drinking water are less than 10 ppb, food highly affects arsenic exposure. However, previous studies found that when drinking water levels of arsenic are greater than 10 ppb, water is the dominant source of exposure [12], indicating that the exposure of subjects in our study is primarily affected by drinking water (mean 47.7 µg/L). Another limitation of our study is the non-determination of arsenic species. There is evidence that suggests varying levels of this species during fetal growth, finding a higher proportion of methylarsonic acid (MMA) during the second and third trimesters. Additionally, the mother’s methylation efficiency would be increased during pregnancy [61,62]. This determination could be particularly relevant because there exist variations in the association with health status of newborns and the rate of metabolism [63].

5. Conclusions

This study demonstrated high arsenic exposure in mothers and their neonates in the CL through monitoring multiple biological samples, which demonstrates a continuous hydroarcenisism problem in this area. These findings confirmed placenta and breast milk as routes of early arsenic exposure in the local population. In addition, our study suggested that breastfeeding may reduce arsenic exposure in infants in arsenic-contaminated areas. Further studies are necessary in order to establish future comorbidity associations later in life, adjusted by other arsenic exposure sources and covariates, as well as the provision of interventions to reduce the exposure.

Author Contributions

Conceptualization, J.J.G.S., M.F.S.M.S., M.A.R.G. and L.B.S.G.; methodology, L.E.N.R., M.F.S.M.S. and N.O.M.; sampling, N.D.B.M., J.M.O., J.M.M. and M.S.N.C., data analysis, P.C.R. and L.E.N.R.; investigation, J.J.G.S., N.E.G.D. and J.M.M.; writing—original draft preparation, T.R., L.E.N.R., N.D.B.M. and J.M.M.; writing—review and editing, L.E.N.R., T.R. and J.M.M.; project administration, J.J.G.S. and J.M.M. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding. Sampling and development of arsenic measurements in biological samples were financed by the departments of Biochemistry and Pharmacology and Department of Cellular Biology and Ultrastructure, Biomedical Research Center, Faculty of Medicine, Autonomous University of Coahuila Torreón, Mexico.

Institutional Review Board Statement

The study was conducted in accordance with the Declaration of Helsinki, and approved by the Bioethics Committee of the School of Medicine of the Autonomous University of Coahuila, Campus Torreon, Coahuila, Mexico (approval by Secretaría de Salud and Comisiόn Nacional de Bioética in Mexico No. CONBIOETICA07CEI00320131015).

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Cubadda, F.; Jackson, B.P.; Cottingham, K.L.; Van Horne, Y.O.; Kurzius-Spencer, M. Human exposure to dietary inorganic arsenic and other arsenic species: State of knowledge, gaps and uncertainties. Sci. Total. Environ. 2017, 579, 1228–1239. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  2. Ferreccio, C.; Yuan, Y.; Calle, J.; Benítez, H.; Parra, R.L.; Acevedo, J.; Smith, A.H.; Liaw, J.; Steinmaus, C. Arsenic, Tobacco Smoke, and Occupation. Epidemiology 2013, 24, 898–905. [Google Scholar] [CrossRef] [PubMed]
  3. Saadatzadeh, A.; Afzalan, S.; Zadehdabagh, R.; Tishezan, L.; Najafi, N.; SeyedTabib, M.; Noori, S.M.A. Determination of heavy metals (lead, cadmium, arsenic, and mercury) in authorized and unauthorized cosmetics. Cutan. Ocul. Toxicol. 2019, 38, 207–211. [Google Scholar] [CrossRef]
  4. Landrigan, P.J. The power of environmental protection: Arsenic in drinking water. Lancet Public Health 2017, 2, e488–e489. [Google Scholar] [CrossRef] [Green Version]
  5. Raessler, M. The Arsenic Contamination of Drinking and Groundwaters in Bangladesh: Featuring Biogeochemical Aspects and Implications on Public Health. Arch. Environ. Contam. Toxicol. 2018, 75, 1–7. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  6. Hackethal, C.; Kopp, J.F.; Sarvan, I.; Schwerdtle, T.; Lindtner, O. Total arsenic and water-soluble arsenic species in foods of the first German total diet study (BfR MEAL Study). Food Chem. 2021, 346, 128913. [Google Scholar] [CrossRef] [PubMed]
  7. Chung, J.-Y.; Yu, S.-D.; Hong, Y.-S. Environmental Source of Arsenic Exposure. J. Prev. Med. Public Health 2014, 47, 253–257. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  8. Tchounwou, P.B.; Yedjou, C.G.; Udensi, U.K.; Pacurari, M.; Stevens, J.J.; Patlolla, A.K.; Noubissi, F.; Kumar, S. State of the science review of the health effects of inorganic arsenic: Perspectives for future research. Environ. Toxicol. 2019, 34, 188–202. [Google Scholar] [CrossRef] [PubMed]
  9. Zhou, Q.; Xi, S. A review on arsenic carcinogenesis: Epidemiology, metabolism, genotoxicity and epigenetic changes. Regul. Toxicol. Pharmacol. 2018, 99, 78–88. [Google Scholar] [CrossRef]
  10. Vahter, M.; Concha, G. Role of Metabolism in Arsenic Toxicity. Pharmacol. Toxicol. 2008, 89, 1–5. [Google Scholar] [CrossRef]
  11. Gao, S.; Lin, P.-I.; Mostofa, G.; Quamruzzaman, Q.; Rahman, M.; Rahman, M.L.; Su, L.; Hsueh, Y.-M.; Weisskopf, M.; Coull, B.; et al. Determinants of arsenic methylation efficiency and urinary arsenic level in pregnant women in Bangladesh. Environ. Health 2019, 18, 94. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  12. Kurzius-Spencer, M.; Burgess, J.L.; Harris, R.B.; Hartz, V.; Roberge, J.; Huang, S.; Hsu, C.-H.; O’Rourke, M.K. Contribution of diet to aggregate arsenic exposures—An analysis across populations. J. Expo. Sci. Environ. Epidemiol. 2014, 24, 156–162. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  13. McClintock, T.R.; Chen, Y.; Bundschuh, J.; Oliver, J.T.; Navoni, J.; Olmos, V.; Lepori, E.V.; Ahsan, H.; Parvez, F. Arsenic exposure in Latin America: Biomarkers, risk assessments and related health effects. Sci. Total Environ. 2012, 429, 76–91. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  14. Ettinger, A.S.; Arbuckle, T.E.; Fisher, M.; Liang, C.L.; Davis, K.; Cirtiu, C.-M.; Bélanger, P.; LeBlanc, A.; Fraser, W.D. Arsenic levels among pregnant women and newborns in Canada: Results from the Maternal-Infant Research on Environmental Chemicals (MIREC) cohort. Environ. Res. 2017, 153, 8–16. [Google Scholar] [CrossRef] [Green Version]
  15. Quansah, R.; Armah, F.; Essumang, D.K.; Luginaah, I.; Clarke, E.; Marfoh, K.; Cobbina, S.J.; Nketiah-Amponsah, E.; Namujju, P.B.; Obiri, S.; et al. Association of Arsenic with Adverse Pregnancy Outcomes/Infant Mortality: A Systematic Review and Meta-Analysis. Environ. Health Perspect. 2015, 123, 412–421. [Google Scholar] [CrossRef]
  16. Rahman, M.; Sohel, N.; Hore, S.K.; Yunus, M.; Bhuiya, A.; Streatfield, P.K. Prenatal arsenic exposure and drowning among children in Bangladesh. Glob. Health Action 2015, 8, 28702. [Google Scholar] [CrossRef] [Green Version]
  17. Valeri, L.; Mazumdar, M.M.; Bobb, J.F.; Henn, B.C.; Rodrigues, E.; Sharif, O.I.; Kile, M.L.; Quamruzzaman, Q.; Afroz, S.; Golam, M.; et al. The Joint Effect of Prenatal Exposure to Metal Mixtures on Neurodevelopmental Outcomes at 20–40 Months of Age: Evidence from Rural Bangladesh. Environ. Health Perspect. 2017, 125, 067015. [Google Scholar] [CrossRef] [Green Version]
  18. Wang, B.; Liu, J.; Liu, B.; Liu, X.; Yu, X. Prenatal exposure to arsenic and neurobehavioral development of newborns in China. Environ. Int. 2018, 121, 421–427. [Google Scholar] [CrossRef]
  19. Rahman, A.; Vahter, M.; Ekström, E.-C.; Persson, L. Arsenic Exposure in Pregnancy Increases the Risk of Lower Respiratory Tract Infection and Diarrhea during Infancy in Bangladesh. Environ. Health Perspect. 2011, 119, 719–724. [Google Scholar] [CrossRef]
  20. Farzan, S.F.; Karagas, M.R.; Chen, Y. In utero and early life arsenic exposure in relation to long-term health and disease. Toxicol. Appl. Pharmacol. 2013, 272, 384–390. [Google Scholar] [CrossRef]
  21. Roh, T.; Steinmaus, C.; Marshall, G.; Ferreccio, C.; Liaw, J.; Smith, A.H. Age at Exposure to Arsenic in Water and Mortality 30–40 Years After Exposure Cessation. Am. J. Epidemiol. 2018, 187, 2297–2305. [Google Scholar] [CrossRef] [Green Version]
  22. Smith, A.H.; Marshall, G.; Roh, T.; Ferreccio, C.; Liaw, J.; Steinmaus, C. Lung, Bladder, and Kidney Cancer Mortality 40 Years After Arsenic Exposure Reduction. Gynecol. Oncol. 2017, 110, 241–249. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  23. Punshon, T.; Davis, M.A.; Marsit, C.; Theiler, S.K.; Baker, E.R.; Jackson, B.P.; Conway, D.C.; Karagas, M.R. Placental arsenic concentrations in relation to both maternal and infant biomarkers of exposure in a US cohort. J. Expo. Sci. Environ. Epidemiol. 2015, 25, 599–603. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  24. Samiee, F.; Leili, M.; Faradmal, J.; Torkshavand, Z.; Asadi, G. Exposure to arsenic through breast milk from mothers exposed to high levels of arsenic in drinking water: Infant risk assessment. Food Control 2019, 106, 106669. [Google Scholar] [CrossRef]
  25. Islam, R.; Attia, J.; Alauddin, M.; McEvoy, M.; McElduff, P.; Slater, C.; Islam, M.; Akhter, A.; D’Este, C.; Peel, R.; et al. Availability of arsenic in human milk in women and its correlation with arsenic in urine of breastfed children living in arsenic contaminated areas in Bangladesh. Environ. Health 2014, 13, 101. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  26. Sternowsky, H.-J.; Moser, B.; Szadkowsky, D. Arsenic in breast milk during the first 3 months of lactation. Int. J. Hyg. Environ. Health 2002, 205, 405–409. [Google Scholar] [CrossRef] [PubMed]
  27. Armienta, M.A.; Segovia, N. Arsenic and fluoride in the groundwater of Mexico. Environ. Geochem. Health 2008, 30, 345–353. [Google Scholar] [CrossRef]
  28. Fisher, A.T.; López-Carrillo, L.; Gamboa-Loira, B.; Cebrián, M.E. Standards for arsenic in drinking water: Implications for policy in Mexico. J. Public Health Policy 2017, 38, 395–406. [Google Scholar] [CrossRef] [Green Version]
  29. García-Alvarado, F.J.; Neri-Meléndez, H.; Armendáriz, L.P.; Guillen, M.R. Polimorfismos del gen Arsénico 3 Metiltransferasa (As3MT) y la eficiencia urinaria del metabolismo del arsénico en una población del norte de México. Rev. Peru Med. Exp. Salud Publica 2018, 35, 72–76. [Google Scholar] [CrossRef] [Green Version]
  30. Laine, J.; Bailey, K.A.; Rubio-Andrade, M.; Olshan, A.F.; Smeester, L.; Drobná, Z.; Herring, A.H.; Stýblo, M.; García-Vargas, G.G.; Fry, R.C. Maternal Arsenic Exposure, Arsenic Methylation Efficiency, and Birth Outcomes in the Biomarkers of Exposure to ARsenic (BEAR) Pregnancy Cohort in Mexico. Environ. Health Perspect. 2015, 123, 186–192. [Google Scholar] [CrossRef]
  31. Ortega-Morales, N.B.; Cueto-Wong, J.A.; Barrientos-Juárez, E.; García-Vargas, G.; Salinas-González, H.; Garcia, A.B.; Martínez, J.M. Toxicity in Goats Exposed to Arsenic in the Region Lagunera, Northern Mexico. Vet. Sci. 2020, 7, 59. [Google Scholar] [CrossRef] [PubMed]
  32. Cox, D.H. Arsine Evolution-Electrothermal Atomic Absorption Method for the Determination of Nanogram Levels of Total Arsenic in Urine and Water. J. Anal. Toxicol. 1980, 4, 207–211. [Google Scholar] [CrossRef] [PubMed]
  33. Junge, W.; Wilke, B.; Halabi, A.; Klein, G. Determination of reference intervals for serum creatinine, creatinine excretion and creatinine clearance with an enzymatic and a modified Jaffé method. Clin. Chim. Acta 2004, 344, 137–148. [Google Scholar] [CrossRef] [PubMed]
  34. Diaz, O.P.; Arcos, R.; Tapia, Y.; Pastene, R.; Velez, D.; Devesa, V.; Montoro, R.; Aguilera, V.; Becerra, M. Estimation of Arsenic Intake from Drinking Water and Food (Raw and Cooked) in a Rural Village of Northern Chile. Urine as a Biomarker of Recent Exposure. Int. J. Environ. Res. Public Health 2015, 12, 5614–5633. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  35. Bloom, M.S.; Neamtiu, I.A.; Surdu, S.; Pop, C.; Anastasiu, D.; Appleton, A.A.; Fitzgerald, E.F.; Gurzau, E.S. Low level arsenic contaminated water consumption and birth outcomes in Romania—An exploratory study. Reprod. Toxicol. 2016, 59, 8–16. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  36. Wang, D.; Shimoda, Y.; Wang, S.; Wang, Z.; Liu, J.; Liu, X.; Jin, H.; Gao, F.; Tong, J.; Yamanaka, K.; et al. Total arsenic and speciation analysis of saliva and urine samples from individuals living in a chronic arsenicosis area in China. Environ. Health Prev. Med. 2017, 22, 45. [Google Scholar] [CrossRef] [Green Version]
  37. Welch, B.; Smit, E.; Cardenas, A.; Hystad, P.; Kile, M.L. Trends in urinary arsenic among the U.S. population by drinking water source: Results from the National Health and Nutritional Examinations Survey 2003–2014. Environ. Res. 2018, 162, 8–17. [Google Scholar] [CrossRef]
  38. Komorowicz, I.; Barałkiewicz, D. Determination of total arsenic and arsenic species in drinking water, surface water, wastewater, and snow from Wielkopolska, Kujawy-Pomerania, and Lower Silesia provinces, Poland. Environ. Monit. Assess. 2016, 188, 504. [Google Scholar] [CrossRef] [Green Version]
  39. Bommarito, P.A.; Beck, R.; Douillet, C.; Del Razo, L.M.; Garcia-Vargas, G.-G.; Valenzuela, O.L.; Sanchez-Peña, L.C.; Styblo, M.; Fry, R.C. Evaluation of plasma arsenicals as potential biomarkers of exposure to inorganic arsenic. J. Expo. Sci. Environ. Epidemiol. 2019, 29, 718–729. [Google Scholar] [CrossRef]
  40. Moon, K.A.; Oberoi, S.; Barchowsky, A.; Chen, Y.; Guallar, E.; Nachman, K.E.; Navas-Acien, A. A dose-response meta-analysis of chronic arsenic exposure and incident cardiovascular disease. Int. J. Epidemiol. 2017, 46, 1924–1939. [Google Scholar] [CrossRef]
  41. Feseke, S.K.; St-Laurent, J.; Anassour-Sidi, E.; Ayotte, P.; Bouchard, M.; Levallois, P. Arsenic exposure and type 2 diabetes: Results from the 2007–2009 Canadian Health Measures Survey. Health Promot. Chronic Dis. Prev. Can. 2015, 35, 63–72. [Google Scholar] [CrossRef] [Green Version]
  42. Wade, T.J.; Xia, Y.; Mumford, J.; Wu, K.; Le, X.C.; Sams, E.; E Sanders, W. Cardiovascular disease and arsenic exposure in Inner Mongolia, China: A case control study. Environ. Health 2015, 14, 35. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  43. Farzan, S.F.; Chen, Y.; Rees, J.R.; Zens, M.S.; Karagas, M.R. Risk of death from cardiovascular disease associated with low-level arsenic exposure among long-term smokers in a US population-based study. Toxicol. Appl. Pharmacol. 2015, 287, 93–97. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  44. García-Esquinas, E.; Pollán, M.; Umans, J.G.; Francesconi, K.A.; Goessler, W.; Guallar, E.; Howard, B.; Farley, J.; Best, L.G.; Navas-Acien, A. Arsenic Exposure and Cancer Mortality in a US-Based Prospective Cohort: The Strong Heart Study. Cancer Epidemiol. Biomark. Prev. 2013, 22, 1944–1953. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  45. Karagas, M.R.; Gossai, A.; Pierce, B.L.; Ahsan, H. Drinking Water Arsenic Contamination, Skin Lesions, and Malignancies: A Systematic Review of the Global Evidence. Curr. Environ. Health Rep. 2015, 2, 52–68. [Google Scholar] [CrossRef]
  46. Chen, Y.-C.; Guo, Y.-L.L.; Su, H.-J.; Hsueh, Y.-M.; Smith, T.J.; Ryan, L.; Lee, M.-S.; Chao, S.-C.; Lee, J.Y.-Y.; Christiani, D.C. Arsenic Methylation and Skin Cancer Risk in Southwestern Taiwan. J. Occup. Environ. Med. 2003, 45, 241–248. [Google Scholar] [CrossRef]
  47. Sung, T.-C.; Huang, J.-W.; Guo, H.-R. Association between Arsenic Exposure and Diabetes: A Meta-Analysis. BioMed Res. Int. 2015, 2015, 368087. [Google Scholar] [CrossRef] [Green Version]
  48. Tofail, F.; Vahter, M.; Hamadani, J.D.; Nermell, B.; Huda, S.N.; Yunus, M.; Rahman, M.; Grantham-McGregor, S.M. Effect of Arsenic Exposure during Pregnancy on Infant Development at 7 Months in Rural Matlab, Bangladesh. Environ. Health Perspect. 2009, 117, 288–293. [Google Scholar] [CrossRef]
  49. Kahn, L.G.; Trasande, L. Environmental Toxicant Exposure and Hypertensive Disorders of Pregnancy: Recent Findings. Curr. Hypertens. Rep. 2018, 20, 87. [Google Scholar] [CrossRef]
  50. Navasumrit, P.; Chaisatra, K.; Promvijit, J.; Parnlob, V.; Waraprasit, S.; Chompoobut, C.; Binh, T.T.; Hai, D.N.; Bao, N.D.; Hai, N.K.; et al. Exposure to arsenic in utero is associated with various types of DNA damage and micronuclei in newborns: A birth cohort study. Environ. Health 2019, 18, 51. [Google Scholar] [CrossRef]
  51. Rudge, C.V.; Röllin, H.B.; Nogueira, C.M.; Thomassen, Y.; Rudge, M.C.; Odland, J.Ø. The placenta as a barrier for toxic and essential elements in paired maternal and cord blood samples of South African delivering women. J. Environ. Monit. 2009, 11, 1322–1330. [Google Scholar] [CrossRef] [Green Version]
  52. Hamadani, J.D.; Grantham-McGregor, S.M.; Tofail, F.; Nermell, B.; Fängström, B.; Huda, S.N.; Yesmin, S.; Rahman, M.; Vera-Hernández, M.; E Arifeen, S.; et al. Pre- and postnatal arsenic exposure and child development at 18 months of age: A cohort study in rural Bangladesh. Int. J. Epidemiol. 2010, 39, 1206–1216. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  53. Gilbert-Diamond, D.; Emond, J.A.; Baker, E.R.; Korrick, S.A.; Karagas, M.R. Relation between in Utero Arsenic Exposure and Birth Outcomes in a Cohort of Mothers and Their Newborns from New Hampshire. Environ. Health Perspect. 2016, 124, 1299–1307. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  54. Buchet, J.P.; Lauwerys, R.; Roels, H. Urinary excretion of inorganic arsenic and its metabolites after repeated ingestion of sodium metaarsenite by volunteers. Int. Arch. Occup. Environ. Health 1981, 48, 111–118. [Google Scholar] [CrossRef] [PubMed]
  55. Hughes, M.F. Biomarkers of Exposure: A Case Study with Inorganic Arsenic. Environ. Health Perspect. 2006, 114, 1790–1796. [Google Scholar] [CrossRef] [Green Version]
  56. Carignan, C.C.; Cottingham, K.L.; Jackson, B.P.; Farzan, S.F.; Gandolfi, A.J.; Punshon, T.; Folt, C.L.; Karagas, M.R. Estimated Exposure to Arsenic in Breastfed and Formula-Fed Infants in a United States Cohort. Environ. Health Perspect. 2015, 123, 500–506. [Google Scholar] [CrossRef] [Green Version]
  57. Samanta, G.; Das, D.; Mandal, B.K.; Chowdhury, T.R.; Chakraborti, D.; Pal, A.; Ahamed, S. Arsenic in the breast milk of lactating women in arsenic-affected areas of West Bengal, India and its effect on infants. J. Environ. Sci. Health Part A 2007, 42, 1815–1825. [Google Scholar] [CrossRef]
  58. Gürbay, A.; Charehsaz, M.; Eken, A.; Sayal, A.; Girgin, G.; Yurdakök, M.; Yiğit, S.; Erol, D.D.; Şahin, G.; Aydın, A. Toxic Metals in Breast Milk Samples from Ankara, Turkey: Assessment of Lead, Cadmium, Nickel, and Arsenic Levels. Biol. Trace Elem. Res. 2012, 149, 117–122. [Google Scholar] [CrossRef]
  59. Fängström, B.; Moore, S.; Nermell, B.; Kuenstl, L.; Goessler, W.; Grandér, M.; Kabir, I.; Palm, B.; El Arifeen, S.; Vahter, M. Breast-feeding Protects against Arsenic Exposure in Bangladeshi Infants. Environ. Health Perspect. 2008, 116, 963–969. [Google Scholar] [CrossRef] [Green Version]
  60. Chao, H.-H.; Guo, C.-H.; Huang, C.-B.; Chen, P.-C.; Li, H.-C.; Hsiung, D.-Y.; Chou, Y.-K. Arsenic, Cadmium, Lead, and Aluminium Concentrations in Human Milk at Early Stages of Lactation. Pediatr. Neonatol. 2014, 55, 127–134. [Google Scholar] [CrossRef]
  61. Milton, A.H.; Hussain, S.; Akter, S.; Rahman, M.; Mouly, T.A.; Mitchell, K. A Review of the Effects of Chronic Arsenic Exposure on Adverse Pregnancy Outcomes. Int. J. Environ. Res. Public Health 2017, 14, 556. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  62. Gelmann, E.R.; Gurzau, E.; Gurzau, A.; Goessler, W.; Kunrath, J.; Yeckel, C.W.; McCarty, K.M. A pilot study: The importance of inter-individual differences in inorganic arsenic metabolism for birth weight outcome. Environ. Toxicol. Pharmacol. 2013, 36, 1266–1275. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  63. Chou, W.-C.; Chung, Y.-T.; Chen, H.-Y.; Wang, C.-J.; Ying, T.-H.; Chuang, C.-Y.; Tseng, Y.-C.; Wang, S.-L. Maternal Arsenic Exposure and DNA Damage Biomarkers, and the Associations with Birth Outcomes in a General Population from Taiwan. PLoS ONE 2014, 9, e86398. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Geographical location of the Comarca Lagunera (CL). Dark orange and blue-colored areas indicate the CL region overlapping the Durango and Coahuila states, respectively. The red dots correspond to the municipalities of the Comarca Lagunera Region (exposed region). The green dot corresponds to the municipality of Saltillo, Coahuila (non-exposed region). Data taken from the National Institute of Statistics and Geography (INEGI, 2019).
Figure 1. Geographical location of the Comarca Lagunera (CL). Dark orange and blue-colored areas indicate the CL region overlapping the Durango and Coahuila states, respectively. The red dots correspond to the municipalities of the Comarca Lagunera Region (exposed region). The green dot corresponds to the municipality of Saltillo, Coahuila (non-exposed region). Data taken from the National Institute of Statistics and Geography (INEGI, 2019).
Ijerph 19 16232 g001
Figure 2. Total arsenic levels in newborns 3 and 4 days after birth in exposed and non-exposed regions (main study). Cr, levels adjusted by creatinine (µg of total As/g of creatinine). * p < 0.05.
Figure 2. Total arsenic levels in newborns 3 and 4 days after birth in exposed and non-exposed regions (main study). Cr, levels adjusted by creatinine (µg of total As/g of creatinine). * p < 0.05.
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Table 1. Arsenic levels in maternal breast milk from the initial study.
Table 1. Arsenic levels in maternal breast milk from the initial study.
RegionTotal No.No. with Detectable Arsenic in Breast Milk (%)Mean (µg/L)Range (µg/L)
Non-Exposed395 (13)5.3ND 1–7.3
Exposed7525 (33) 28.5ND–26.0
1 ND, non-detectable level. 2 Significantly higher detection rate than the non-exposed region based on a chi-square test (p = 0.02).
Table 2. Arsenic levels in biological samples in mothers from the main study.
Table 2. Arsenic levels in biological samples in mothers from the main study.
MediumNMeanSDRange
Exposed Region
   Placenta837.80 µg/kg *6.300.3–33
   Blood804.96 µg/L2.90ND–12.4
   Urine7954.92 µg/L **39.074.1–190
   Urine-Cr8077.04 µg/g-Cr **56.0315.3–306.5
   Breast Milk754.30 µg/L *10.50ND–24.7
Non-Exposed Region
   Placenta132.17 µg/kg2.570.1–8.8
   Blood143.85 µg/L2.64ND–9.7
   Urine134.60 µg/L3.090.8–9.4
   Urine-Cr136.71 µg/g-Cr5.730.7–18.4
   Breast Milk130.87 µg/L1.71ND–7.4
Note: Cr, Adjusted by creatinine (µg of total As/gr of creatinine); SD, standard deviation; ND, non-detectable level. * p < 0.05; ** p < 0.001.
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García Salcedo, J.J.; Roh, T.; Nava Rivera, L.E.; Betancourt Martínez, N.D.; Carranza Rosales, P.; San Miguel Salazar, M.F.; Rivera Guillén, M.A.; Serrano Gallardo, L.B.; Niño Castañeda, M.S.; Guzmán Delgado, N.E.; et al. Comparative Biomonitoring of Arsenic Exposure in Mothers and Their Neonates in Comarca Lagunera, Mexico. Int. J. Environ. Res. Public Health 2022, 19, 16232. https://doi.org/10.3390/ijerph192316232

AMA Style

García Salcedo JJ, Roh T, Nava Rivera LE, Betancourt Martínez ND, Carranza Rosales P, San Miguel Salazar MF, Rivera Guillén MA, Serrano Gallardo LB, Niño Castañeda MS, Guzmán Delgado NE, et al. Comparative Biomonitoring of Arsenic Exposure in Mothers and Their Neonates in Comarca Lagunera, Mexico. International Journal of Environmental Research and Public Health. 2022; 19(23):16232. https://doi.org/10.3390/ijerph192316232

Chicago/Turabian Style

García Salcedo, José Javier, Taehyun Roh, Lydia Enith Nava Rivera, Nadia Denys Betancourt Martínez, Pilar Carranza Rosales, María Francisco San Miguel Salazar, Mario Alberto Rivera Guillén, Luis Benjamín Serrano Gallardo, María Soñadora Niño Castañeda, Nacny Elena Guzmán Delgado, and et al. 2022. "Comparative Biomonitoring of Arsenic Exposure in Mothers and Their Neonates in Comarca Lagunera, Mexico" International Journal of Environmental Research and Public Health 19, no. 23: 16232. https://doi.org/10.3390/ijerph192316232

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