1
|
Schrenk D, Bignami M, Bodin L, Chipman JK, del Mazo J, Grasl‐Kraupp B, Hogstrand C, Hoogenboom L(R, Leblanc J, Nebbia CS, Ntzani E, Petersen A, Sand S, Schwerdtle T, Vleminckx C, Wallace H, Guérin T, Massanyi P, Van Loveren H, Baert K, Gergelova P, Nielsen E. Update of the risk assessment of nickel in food and drinking water. EFSA J 2020; 18:e06268. [PMID: 33193868 PMCID: PMC7643711 DOI: 10.2903/j.efsa.2020.6268] [Citation(s) in RCA: 51] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
The European Commission asked EFSA to update its previous Opinion on nickel in food and drinking water, taking into account new occurrence data, the updated benchmark dose (BMD) Guidance and newly available scientific information. More than 47,000 analytical results on the occurrence of nickel were used for calculating chronic and acute dietary exposure. An increased incidence of post-implantation loss in rats was identified as the critical effect for the risk characterisation of chronic oral exposure and a BMDL 10 of 1.3 mg Ni/kg body weight (bw) per day was selected as the reference point for the establishment of a tolerable daily intake (TDI) of 13 μg/kg bw. Eczematous flare-up reactions in the skin elicited in nickel-sensitised humans, a condition known as systemic contact dermatitis, was identified as the critical effect for the risk characterisation of acute oral exposure. A BMDL could not be derived, and therefore, the lowest-observed-adverse-effect-level of 4.3 μg Ni/kg bw was selected as the reference point. The margin of exposure (MOE) approach was applied and an MOE of 30 or higher was considered as being indicative of a low health concern. The mean lower bound (LB)/upper bound (UB) chronic dietary exposure was below or at the level of the TDI. The 95th percentile LB/UB chronic dietary exposure was below the TDI in adolescents and in all adult age groups, but generally exceeded the TDI in toddlers and in other children, as well as in infants in some surveys. This may raise a health concern in these young age groups. The MOE values for the mean UB acute dietary exposure and for the 95th percentile UB raises a health concern for nickel-sensitised individuals. The MOE values for an acute scenario regarding consumption of a glass of water on an empty stomach do not raise a health concern.
Collapse
|
2
|
Kulawik P, Dordevic D, Gambuś F, Szczurowska K, Zając M. Heavy metal contamination, microbiological spoilage and biogenic amine content in sushi available on the Polish market. JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE 2018; 98:2809-2815. [PMID: 29134651 DOI: 10.1002/jsfa.8778] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/19/2017] [Revised: 09/18/2017] [Accepted: 11/09/2017] [Indexed: 06/07/2023]
Abstract
BACKGROUND The present study determined the heavy metal contamination (mercury, cadmium, lead, arsenic and nickel) of nori, restaurant-served sushi and ready-to-eat sushi meals available via retail chains. Moreover, both microbiological load and biogenic amine content in ready-to-eat sushi meals were analysed. RESULTS All of the nori samples contained high levels of Cd (2.122 mg kg-1 ), Ni (0.715 mg kg-1 ), As (34.56 mg kg-1 ) and Pb (0.659 mg kg-1 ). The studied sushi samples contained high levels of Ni and Pb, reaching 0.194 and 0.142 mg kg-1 wet weight, respectively, being potentially hazardous to women during pregnancy and lactation and small children. None of the studied samples contained high levels of Hg. Overall, 37% of ready-to-eat sushi meals exceeded a microbiological load of 106 cfu g-1 . However, biogenic amine content in all of the samples was low, with a highest histamine content of 2.05 mg kg-1 . CONCLUSION Sushi is not the source of high levels of biogenic amines even with high microbiological loads. Nevertheless, the high microbiological loads at the end of the shelf-life indicate that some processors might have problems with the distribution chain or implement a poor hygienic regime. Moreover as a result of possible risk associated with heavy metal contamination, the present study highlights the need to establish new regulations regarding the contamination of nori and sushi. © 2017 Society of Chemical Industry.
Collapse
Affiliation(s)
- Piotr Kulawik
- Department of Animal Product Technology, Faculty of Food Technology, University of Agriculture, Krakow, Poland
| | - Dani Dordevic
- Department of Meat Hygiene and Technology, Faculty of Veterinary Hygiene and Technology, University of Veterinary and Pharmacutical Sciences Brno, Czech Republic
- Department of Plant Origin Foodstuffs Hygiene and Technology, Faculty of Veterinary Hygiene and technology, University of Veterinary and Pharmacutical Sciences Brno, Czech Republic
| | - Florian Gambuś
- Department of Agricultural and Environmental Chemistry, Faculty of Agriculture and Economies, University of Agriculture, Krakow, Poland
| | - Katarzyna Szczurowska
- Department of Agricultural and Environmental Chemistry, Faculty of Agriculture and Economies, University of Agriculture, Krakow, Poland
| | - Marzena Zając
- Department of Animal Product Technology, Faculty of Food Technology, University of Agriculture, Krakow, Poland
| |
Collapse
|
3
|
Chen X, Li Y, Zhang B, Zhou A, Zheng T, Huang Z, Pan X, Liu W, Liu H, Jiang Y, Sun X, Hu C, Xing Y, Xia W, Xu S. Maternal exposure to nickel in relation to preterm delivery. CHEMOSPHERE 2018; 193:1157-1163. [PMID: 29874744 DOI: 10.1016/j.chemosphere.2017.11.121] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/24/2017] [Revised: 11/18/2017] [Accepted: 11/21/2017] [Indexed: 06/08/2023]
Abstract
Prior studies have suggested the reproductive effects of nickel; however, few epidemiological studies have investigated the associations of maternal exposure to nickel with preterm delivery. To investigate prenatal exposure to nickel as a risk factor for preterm delivery (< 37 weeks) in a large birth cohort. A total of 7291 pregnant women participated in the study were recruited between September 2012 and October 2014 in the longitudinal Healthy Baby Cohort (HBC) in Wuhan, China. Inductively Coupled Plasma Mass Spectrometry was employed to examine levels of nickel in urine from pregnant women collected before labor. The median urinary creatinine-corrected nickel was 5.05 creatinine μg/g with an inter-quartile range of 2.65-9.51 creatinine μg/g. We adjusted for potential confounders and found that each doubling in concentration of maternal urinary nickel was associated with an increase of 16% in adjusted odds ratios (ORs) for preterm delivery (95% CI: 1.08, 1.24). The associations were consistent for both spontaneous and iatrogenic preterm delivery. Our findings suggest that higher maternal urinary nickel concentrations were associated with an increased risk of preterm delivery.
Collapse
Affiliation(s)
- Xiaomei Chen
- Key Laboratory of Environment and Health (HUST), Ministry of Education & Ministry of Environmental Protection, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China; State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China
| | - Yuanyuan Li
- Key Laboratory of Environment and Health (HUST), Ministry of Education & Ministry of Environmental Protection, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China; State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China
| | - Bin Zhang
- Wuhan Medical and Health Center for Women and Children, Wuhan, Hubei, People's Republic of China
| | - Aifen Zhou
- Wuhan Medical and Health Center for Women and Children, Wuhan, Hubei, People's Republic of China
| | - Tongzhang Zheng
- Department of Epidemiology, Brown University, Providence, RI, USA
| | - Zheng Huang
- Key Laboratory of Environment and Health (HUST), Ministry of Education & Ministry of Environmental Protection, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China; State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China
| | - Xinyun Pan
- Key Laboratory of Environment and Health (HUST), Ministry of Education & Ministry of Environmental Protection, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China; State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China
| | - Wenyu Liu
- Key Laboratory of Environment and Health (HUST), Ministry of Education & Ministry of Environmental Protection, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China; State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China
| | - Hongxiu Liu
- Key Laboratory of Environment and Health (HUST), Ministry of Education & Ministry of Environmental Protection, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China; State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China
| | - Yangqian Jiang
- Key Laboratory of Environment and Health (HUST), Ministry of Education & Ministry of Environmental Protection, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China; State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China
| | - Xiaojie Sun
- Key Laboratory of Environment and Health (HUST), Ministry of Education & Ministry of Environmental Protection, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China; State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China
| | - Chen Hu
- Key Laboratory of Environment and Health (HUST), Ministry of Education & Ministry of Environmental Protection, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China; State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China
| | - Yuling Xing
- Key Laboratory of Environment and Health (HUST), Ministry of Education & Ministry of Environmental Protection, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China; State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China
| | - Wei Xia
- Key Laboratory of Environment and Health (HUST), Ministry of Education & Ministry of Environmental Protection, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China.
| | - Shunqing Xu
- State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China.
| |
Collapse
|
4
|
Wu H, Jiang B, Geng X, Zhu P, Liu Z, Cui L, Yang L. Exposure to fine particulate matter during pregnancy and risk of term low birth weight in Jinan, China, 2014-2016. Int J Hyg Environ Health 2017; 221:183-190. [PMID: 29097084 DOI: 10.1016/j.ijheh.2017.10.013] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2017] [Revised: 10/23/2017] [Accepted: 10/24/2017] [Indexed: 02/06/2023]
Abstract
BACKGROUND Existing studies exploring the association between low birth weight (LBW) and maternal fine particulate matter (aerodynamic diameter<2.5μm, PM2.5) exposure have presented equivocal results, and one of the possible reasons for this finding might be due to relatively low maternal exposures. In addition, relatively narrow maternal exposure windows to PM2.5 have not been well established for LBW. METHODS We employed a nested matched case-control design among 43,855 term births in a large maternity and child care hospital in Jinan, China. A total of 369 cases were identified, and four controls per case matched by maternal age were randomly selected among those with normal birth weight (n=1,476) from 2014 to 2016. Ambient air monitoring data on continuous measures of PM2.5, nitrogen dioxide (NO2), and sulfur dioxide (SO2) (24-h average concentrations) from 2013 to 2016 were collected from thirteen local monitoring stations. An inverse distance weighting method based on both home and work addresses was adopted to estimate the individual daily exposures to these air pollutants during pregnancy by weighting the average of the twelve nearest monitoring stations within 30km of each 100m×100m grid cell by an inverse squared distance, and then the average exposure concentrations for gestational months, trimesters and the entire pregnancy were calculated. Adjusted conditional logistic regression models were used to estimate the odds ratios (ORs) per 10μg/m3 increment in PM2.5 and by PM2.5 quartiles during different gestational periods. RESULTS In this study, the estimated mean values of PM2.5, NO2, and SO2 exposure during the entire pregnancy were 88.0, 54.6, and 63.1μg/m3, respectively. Term low birth weight (TLBW) increased in association with per 10μg/m3 increment in PM2.5 for the 8th month [OR=1.13, 95% confidence interval (CI): 1.04, 1.22], the 9th month (OR=1.06, 95% CI: 0.99, 1.15), the third trimester (OR=1.17, 95% CI: 1.05, 1.29), and the entire pregnancy (OR=1.38, 95% CI: 1.07, 1.77) in models adjusted for one pollutant (PM2.5). In models categorizing the PM2.5 exposure by quartiles, comparing the second, third, and highest with the lowest PM2.5 exposure quartile, the PM2.5 was positively associated with TLBW during the 8th month (OR: 1.77, 95% CI: 1.09, 2.88; OR: 1.77, 95% CI: 1.03, 3.04; OR: 1.92, 95% CI: 1.04, 3.55, respectively) and for the 9th month, only association for exposure in the third versus the lowest quartile was significant (OR: 1.91, 95% CI: 1.02, 3.58). CONCLUSIONS The study provides evidence that exposure to PM2.5 during pregnancy might be associated with the risk of TLBW in the context of very high pollution level of PM2.5, and the 8th and 9th months were identified as potentially relevant exposure windows.
Collapse
Affiliation(s)
- Han Wu
- Department of Epidemiology, School of Public Health, Shandong University, Jinan, Shandong, China
| | - Baofa Jiang
- Department of Epidemiology, School of Public Health, Shandong University, Jinan, Shandong, China
| | - Xingyi Geng
- Jinan Center for Disease Control and Prevention, Jinan, Shandong, China
| | - Ping Zhu
- Jinan Maternity and Child Care Hospital, Jinan, Shandong, China
| | - Zhong Liu
- Jinan Center for Disease Control and Prevention, Jinan, Shandong, China
| | - Liangliang Cui
- Jinan Center for Disease Control and Prevention, Jinan, Shandong, China
| | - Liping Yang
- Department of Epidemiology, School of Public Health, Shandong University, Jinan, Shandong, China.
| |
Collapse
|
5
|
Guimarães ATB, Ferreira RDO, Rabelo LM, E Silva BC, de Souza JM, da Silva WAM, de Menezes IPP, Rodrigues ASDL, Vaz BG, de Oliveira Costa DR, Pereira I, da Silva AR, Malafaia G. The C57BL/6J mice offspring originated from a parental generation exposed to tannery effluents shows object recognition deficits. CHEMOSPHERE 2016; 164:593-602. [PMID: 27635641 DOI: 10.1016/j.chemosphere.2016.08.144] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/30/2016] [Revised: 08/24/2016] [Accepted: 08/31/2016] [Indexed: 06/06/2023]
Abstract
The main aim of the present paper is to assess whether the parental generation exposure to such discharges could cause object recognition deficits in their offspring. Male and female C57Bl/6J mice were put to mate after they were exposed to 7.5% and 15% tannery effluents or water (control group), for 60 days. The male mice were withdrawn from the boxes after 15 days and the female mice remained exposed to the treatment during the gestation and lactation periods. The offspring were subjected to the object recognition test after weaning in order to assess possible cognition losses. The results of the analysis of the novel object recognition index found in the testing session (performed 1 h after the training session) applied to offspring from different experimental groups appeared to be statistically different. The novel object recognition index of the offspring from female mice exposed to tannery effluents (7.5% and 15% groups) was lower than that of the control group, and it demonstrated object recognition deficit in the studied offspring. The present study is the first to report evidences that parental exposure to effluent of tannery (father and mother) can cause object recognition deficit in the offspring, which is related to problems in the central nervous system.
Collapse
Affiliation(s)
- Abraão Tiago Batista Guimarães
- Programa de Pós-Graduação em Conservação de Recursos Naturais do Cerrado, Laboratório de Pesquisas Biológicas, Instituto Federal Goiano - Campus Urutaí, GO, Brazil; Laboratório de Pesquisas Biológicas, Instituto Federal Goiano - Campus Urutaí, GO, Brazil
| | | | - Letícia Martins Rabelo
- Laboratório de Pesquisas Biológicas, Instituto Federal Goiano - Campus Urutaí, GO, Brazil
| | - Bianca Costa E Silva
- Laboratório de Pesquisas Biológicas, Instituto Federal Goiano - Campus Urutaí, GO, Brazil
| | - Joyce Moreira de Souza
- Programa de Pós-Graduação em Conservação de Recursos Naturais do Cerrado, Laboratório de Pesquisas Biológicas, Instituto Federal Goiano - Campus Urutaí, GO, Brazil; Laboratório de Pesquisas Biológicas, Instituto Federal Goiano - Campus Urutaí, GO, Brazil
| | - Wellington Alves Mizael da Silva
- Programa de Pós-Graduação em Conservação de Recursos Naturais do Cerrado, Laboratório de Pesquisas Biológicas, Instituto Federal Goiano - Campus Urutaí, GO, Brazil; Laboratório de Pesquisas Biológicas, Instituto Federal Goiano - Campus Urutaí, GO, Brazil
| | - Ivandilson Pessoa Pinto de Menezes
- Departamento de Ciências Biológicas, Programa de Pós-Graduação em Conservação de Recursos Naturais do Cerrado, Instituto Federal Goiano - Campus Urutaí, GO, Brazil
| | - Aline Sueli de Lima Rodrigues
- Laboratório de Pesquisas Biológicas, Instituto Federal Goiano - Campus Urutaí, GO, Brazil; Departamento de Ciências Biológicas, Programa de Pós-Graduação em Conservação de Recursos Naturais do Cerrado, Instituto Federal Goiano - Campus Urutaí, GO, Brazil
| | - Boniek Gontijo Vaz
- Programa de Pós-Graduação em Química, Universidade Federal de Goiás - Campus Samambaia, Goiânia, GO, Brazil
| | | | - Igor Pereira
- Programa de Pós-Graduação em Química, Universidade Federal de Goiás - Campus Samambaia, Goiânia, GO, Brazil
| | - Anderson Rodrigo da Silva
- Departamento de Ciências Agrárias, Laboratório de Estatística Experimental, Instituto Federal Goiano - Campus Urutaí, GO, Brazil
| | - Guilherme Malafaia
- Programa de Pós-Graduação em Conservação de Recursos Naturais do Cerrado, Laboratório de Pesquisas Biológicas, Instituto Federal Goiano - Campus Urutaí, GO, Brazil; Laboratório de Pesquisas Biológicas, Instituto Federal Goiano - Campus Urutaí, GO, Brazil; Departamento de Ciências Biológicas, Programa de Pós-Graduação em Conservação de Recursos Naturais do Cerrado, Instituto Federal Goiano - Campus Urutaí, GO, Brazil; Programa de Pós-Graduação em Biodiversidade Animal, Universidade Federal de Goiás - Campus Samambaia, Goiânia, GO, Brazil.
| |
Collapse
|