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Schrenk D, Bignami M, Bodin L, Chipman JK, del Mazo J, Grasl‐Kraupp B, Hogstrand C, Hoogenboom L(R, Leblanc J, Nebbia CS, Nielsen E, Ntzani E, Petersen A, Sand S, Vleminckx C, Wallace H, Barregård L, Benford D, Broberg K, Dogliotti E, Fletcher T, Rylander L, Abrahantes JC, Gómez Ruiz JÁ, Steinkellner H, Tauriainen T, Schwerdtle T. Update of the risk assessment of inorganic arsenic in food. EFSA J 2024; 22:e8488. [PMID: 38239496 PMCID: PMC10794945 DOI: 10.2903/j.efsa.2024.8488] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2024] Open
Abstract
The European Commission asked EFSA to update its 2009 risk assessment on arsenic in food carrying out a hazard assessment of inorganic arsenic (iAs) and using the revised exposure assessment issued by EFSA in 2021. Epidemiological studies show that the chronic intake of iAs via diet and/or drinking water is associated with increased risk of several adverse outcomes including cancers of the skin, bladder and lung. The CONTAM Panel used the benchmark dose lower confidence limit based on a benchmark response (BMR) of 5% (relative increase of the background incidence after adjustment for confounders, BMDL05) of 0.06 μg iAs/kg bw per day obtained from a study on skin cancer as a Reference Point (RP). Inorganic As is a genotoxic carcinogen with additional epigenetic effects and the CONTAM Panel applied a margin of exposure (MOE) approach for the risk characterisation. In adults, the MOEs are low (range between 2 and 0.4 for mean consumers and between 0.9 and 0.2 at the 95th percentile exposure, respectively) and as such raise a health concern despite the uncertainties.
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Mai W, Liu Y, Meng Q, Xu J, Wu J. Bacterial Epidemiology and Antimicrobial Resistance Profiles of Respiratory Specimens of Children with Pneumonia in Hainan, China. Infect Drug Resist 2023; 16:249-261. [PMID: 36660346 PMCID: PMC9842527 DOI: 10.2147/idr.s397513] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Accepted: 01/02/2023] [Indexed: 01/13/2023] Open
Abstract
Purpose To investigate the bacterial species and antimicrobial susceptibility of respiratory specimens of children with pneumonia in Hainan, China. Methods A total of 5017 specimens, including 4986 sputum samples, 19 bronchoalveolar lavage fluid samples and 12 tracheal tube tip samples from hospitalized children with pneumonia from April 1, 2021 to March 31, 2022 were studied. All the bacterial isolates were identified and confirmed with the VITEK 2 system. Antimicrobial susceptibility of all isolates was determined using the Kirby-Bauer method or the VITEK 2 Compact automatic system, following the breakpoints recommended by the Clinical and Laboratory Standards Institute. Results A total of 996 bacterial isolates were collected and classified into 24 species. The top 10 most frequent species were Haemophilus influenzae (356 isolates, 35.7%), Streptococcus pneumoniae (128, 12.9%), Moraxella catarrhalis (114, 11.5%), Escherichia coli (89, 8.9%), Staphylococcus aureus (89, 8.9%), Klebsiella pneumoniae (82, 8.2%), Acinetobacter baumannii (31, 3.1%), Pseudomonas aeruginosa (28, 2.8%), Enterobacter cloacae (18, 1.8%), and Streptococcus agalactiae (13, 1.3%). 70.5% strains had the resistant (R) and/or intermediate (I) phenotypes to at least one of the tested drugs, with a large proportion (54.6%) showing resistance to two or more commonly used antibiotics. In addition, 60.5% (69/114) of M. catarrhalis strains and 42.9% (153/356) of H. influenzae strains produced β-lactamases while 19.1% (17/89) E. coli and 6.1% (5/82) K. pneumoniae strains produced extended-spectrum β-lactamases. Conclusion A diversity of pathogenic bacteria were isolated from the respiratory tract of children with pneumonia in Hainan, China. High-frequency resistance to first-line antimicrobial drugs was observed in Gram-negative and Gram-positive bacteria, including 544 isolates resistant to at least two antibiotics. Rapid identification and susceptibility testing should be implemented for children with bacterial pneumonia in Hainan before drug treatment is recommended.
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Affiliation(s)
- Wenhui Mai
- Center for Science Experiments, Hainan Medical University, Haikou, Hainan Province, People’s Republic of China
- Laboratory Department, Haikou Maternal and Child Health Hospital, Haikou, Hainan Province, People’s Republic of China
| | - Yiwei Liu
- Center for Science Experiments, Hainan Medical University, Haikou, Hainan Province, People’s Republic of China
- Department of Pathogen Biology, Hainan Medical University, Haikou, Hainan Province, People’s Republic of China
| | - Qiaoyi Meng
- Center for Science Experiments, Hainan Medical University, Haikou, Hainan Province, People’s Republic of China
- Department of Pathogen Biology, Hainan Medical University, Haikou, Hainan Province, People’s Republic of China
| | - Jianping Xu
- Center for Science Experiments, Hainan Medical University, Haikou, Hainan Province, People’s Republic of China
- Department of Biology, McMaster University, Hamilton, Ontario, Canada
| | - Jinyan Wu
- Center for Science Experiments, Hainan Medical University, Haikou, Hainan Province, People’s Republic of China
- Department of Pathogen Biology, Hainan Medical University, Haikou, Hainan Province, People’s Republic of China
- Key Laboratory of Tropical Translational Medicine of Ministry of Education, Hainan Medical University, Haikou, Hainan Province, People’s Republic of China
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Distribution and Drug Resistance of Bacterial Pathogens Associated with Lower Respiratory Tract Infection in Children and the Effect of COVID-19 on the Distribution of Pathogens. THE CANADIAN JOURNAL OF INFECTIOUS DISEASES & MEDICAL MICROBIOLOGY = JOURNAL CANADIEN DES MALADIES INFECTIEUSES ET DE LA MICROBIOLOGIE MEDICALE 2022; 2022:1181283. [PMID: 35368516 PMCID: PMC8965734 DOI: 10.1155/2022/1181283] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/14/2021] [Revised: 01/26/2022] [Accepted: 03/01/2022] [Indexed: 11/17/2022]
Abstract
By studying the distribution and drug resistance of bacterial pathogens associated with lower respiratory tract infection (LRTI) in children in Chengdu and the effect of the COVID-19 on the distribution of pathogens and by analyzing the epidemic trend and drug resistance changes of the main pathogens of LRTI, this research is supposed to provide a useful basis for the prevention of LRTI in children and the rational use of drugs in clinical practice. Hospitalized children clinically diagnosed with LRTI in Chengdu Women and Children's Central Hospital from 2011 to 2020 were selected as the study subjects. The pathogens of LRTI in children and the distribution of pathogens in different ages, genders, seasons, years, and departments and before and after the pandemic situation of COVID-19 were counted. The drug resistance distribution of the top six pathogens with the highest infection rate in the past three years and the trend of drug resistance in the past decade were analyzed. A total of 26,469 pathogens were isolated. Among them, 6240 strains (23.6%) were Gram-positive bacteria, 20152 strains (76.1%) were Gram-negative bacteria, and 73 strains (0.3%) were fungi. Klebsiella pneumoniae, Escherichia coli, Enterobacter cloacae, and Staphylococcus aureus were highly isolated in the group of infants aged 0-1 (P < 0.01), Moraxella catarrhalis and Streptococcus pneumoniae were highly isolated in children aged 1–6 (P < 0.01), and Haemophilus influenzae was highly isolated in children over 1 (P < 0.01). The isolation rates of Enterobacteriaceae, Acinetobacter baumannii, Pseudomonas aeruginosa, Stenotrophomonas maltophilia, Staphylococcus aureus, and Candida albicans in the lower respiratory tract of 0-1 year-old male infants were higher than those of female infants (p < 0.05). Haemophilus influenzae was highly isolated in spring and summer, and Moraxella catarrhalis was highly isolated in autumn and winter, while the infection of Streptococcus pneumoniae was mainly concentrated in winter. This difference was statistically significant (P < 0.01). Affected by the COVID-19 pandemic, the isolation rates of Haemophilus influenzae and Streptococcus pneumoniae were significantly lower than those before the pandemic, and the isolation rate of Moraxella catarrhalis was significantly higher. The difference was statistically significant (P < 0.01). The proportion of isolated negative bacteria in NICU and PICU was higher than that in positive bacteria, and the infection rates of Klebsiella pneumoniae, Escherichia coli, Enterobacter cloacae, and Acinetobacter baumannii were higher than those in other departments. The differences were statistically significant (P < 0.01). The results of drug sensitivity test showed that the drug resistance of Haemophilus influenzae and Moraxella catarrhalis was mainly concentrated in Ampicillin, First- and Second-generation cephalosporins, and Cotrimoxazole, with stable sensitivity to Third-generation cephalosporins, while the drug resistance of Streptococcus pneumoniae was concentrated in Macrolides, Sulfonamides, and Tetracyclines, with stable sensitivity to Penicillin. Staphylococcus aureus is highly resistant to penicillins and macrolides and susceptible to vancomycin. Enterobacteriaceae resistance is concentrated in cephalosporins, with a low rate of carbapenem resistance. From 2018 to 2020, 1557 strains of Staphylococcus aureus were isolated, of which 416 strains were MRSA, accounting for 27% of the isolates; 1064 strains of Escherichia coli were isolated, of which 423 strains were ESBL and 23 strains were CRE, accounting for 40% and 2% of the isolates, respectively; and 1400 strains of Klebsiella pneumoniae were isolated, of which 385 strains were ESBL and 402 strains were CRE, accounting for 28% and 29% of the isolates, respectively. Since 2011, the resistance of Escherichia coli and Klebsiella pneumoniae to Third-generation cephalosporins has increased, peaking in 2017, and has decreased after 2018, years after which carbapenem resistance has increased significantly, corresponding to an increase in the detection rate of Carbapenem-resistant Enterobacteriaceae CRE. Findings from this study revealed that there are significant differences in community-associated infectious pathogens before and after the COVID-19 pandemic, and there are significant age differences, seasonal epidemic trends, and high departmental correlation of pathogens related to lower respiratory tract disease infection in children. There was a significant gender difference in the isolation rate of pathogens associated with LRTI in infants under one year. Vaccination, implementation of isolation measures and social distance, strengthening of personal protective measures, aseptic operation of invasive medical treatment, hand hygiene, and environmental disinfection are beneficial to reducing community-associated pathogen infection, opportunistic pathogen infection, and an increase in resistant bacteria. The strengthening of bacterial culture of lower respiratory tract samples by pediatricians is conducive to the diagnosis of respiratory tract infections caused by different pathogens, contributing to the selection of effective drugs for treatment according to drug susceptibility results, which is important for the rational use of antibiotics and curbing bacterial resistance.
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Goodarzi E, Sohrabivafa M, Darvishi I, Naemi H, Khazaei Z. Epidemiology of mortality induced by acute respiratory infections in infants and children under the age of 5 years and its relationship with the Human Development Index in Asia: an updated ecological study. J Public Health (Oxf) 2020. [DOI: 10.1007/s10389-020-01195-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023] Open
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Shih YH, Argos M, Turyk ME. Urinary arsenic concentration, airway inflammation, and lung function in the U.S. adult population. ENVIRONMENTAL RESEARCH 2019; 175:308-315. [PMID: 31146102 DOI: 10.1016/j.envres.2019.05.031] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/16/2018] [Revised: 05/16/2019] [Accepted: 05/17/2019] [Indexed: 05/19/2023]
Abstract
BACKGROUND Inorganic arsenic (iAs) is ubiquitous in the environment and has been linked to lung cancer and a number of non-malignant lung disease in both adults and children. However, most studies were conducted in populations with higher arsenic exposure levels in drinking water and relatively little epidemiologic research evaluated the impacts of low levels iAs exposure on non-malignant lung disease among populations that are not primarily exposed to arsenic through drinking water. OBJECTIVES We assessed the associations of arsenic exposure with airway inflammation and lung function among U.S. adults aged 20-79 years using data from the National Health and Nutrition Examination Survey 2007-2012 cycles. METHODS Two measures of arsenic exposure, urinary total arsenic and dimethylarsonic acid (DMA), were used. We calibrated these two exposure measures by regressing their concentrations by arsenobetaine and extracting the residuals to calculate estimated total arsenic and estimated DMA. Arsenic exposures were modeled as log-transformed continuous variables as well as quartile categories. Fractional exhaled nitric oxide (FENO), an indicator of respiratory inflammation, was available for participants. For lung function, the best forced expiratory volume in the first one second (FEV1), forced vital capacity (FVC), forced expiratory flow rate (FEF) 25-75%, their percent estimated values, ratios of FEV1 to FVC, and FEF 25-75% to FVC were used (i.e. FEV1/FVC and FEF/FVC). Weighted multivariable linear regression models, adjusted for potential confounders, were used to evaluate the association of arsenic exposure with airway inflammation and lung function overall, and among males and females. RESULTS Significant associations between arsenic exposure and increased airway inflammation were found. A two-fold increase in urinary total arsenic and DMA was associated with 23.87% (95% CI: 2.66, 49.46) and 14.05% (95% CI: 1.77, 27.81) higher levels of FENO, respectively. In addition, participants in the highest quartile of urinary total arsenic had FENO levels 8.49% (95% CI: 1.13, 16.39) higher than those in the lowest quartile. These associations were similar between males and females. Limited evidence was found for the association with respect to lung function and potential modification effect of sex. CONCLUSIONS Arsenic exposure was related to increased risk of airway inflammation but there is limited evidence of an association in relation to lung function. Future research conducted in populations with relatively lower exposure levels that are not primarily exposed to arsenic through drinking water is needed to confirm our findings.
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Affiliation(s)
- Yu-Hsuan Shih
- Division of Epidemiology and Biostatistics, School of Public Health, University of Illinois at Chicago, Chicago, IL, 60612, USA
| | - Maria Argos
- Division of Epidemiology and Biostatistics, School of Public Health, University of Illinois at Chicago, Chicago, IL, 60612, USA
| | - Mary E Turyk
- Division of Epidemiology and Biostatistics, School of Public Health, University of Illinois at Chicago, Chicago, IL, 60612, USA.
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Wang D, Luo P, Zou Z, Wang Q, Yao M, Yu C, Wei S, Sun B, Zhu K, Zeng Q, Li J, Liang B, Zhang A. Alterations of arsenic levels in arsenicosis residents and awareness of its risk factors: A population-based 20-year follow-up study in a unique coal-borne arsenicosis County in Guizhou, China. ENVIRONMENT INTERNATIONAL 2019; 129:18-27. [PMID: 31102951 DOI: 10.1016/j.envint.2019.05.005] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/15/2019] [Revised: 05/02/2019] [Accepted: 05/03/2019] [Indexed: 06/09/2023]
Abstract
BACKGROUND Currently, most arsenic (As) studies in populations are concerned with water-borne arsenicosis. However, residents in Xingren County of Guizhou Province, Southwest of China, represent a unique case of arsenicosis which is related to indoor combustion of high As-containing coal. This study aimed to assess the alterations of As levels and its risk factors in coal-borne arsenicosis residents during the past 20 years. METHODS Four follow-up investigations in Xingren County were selected from the year 1998 to 2017, a total of 245, 272, 584, and 309 residents were involved in the four investigations, respectively. Local external environmental medium (coal, soil, water, air, rice, corn and chili peppers) and biological samples (urine, hair) were collected at each time of investigation for total As analysis. Sociodemographics and lifestyles variables were extracted from the questionnaire investigation. Both univariate and multivariate unconditional logistic regression models were performed to analyze the variation of risk factors for coal-borne arsenicosis. RESULTS A substantial reduction of total As levels was observed both in external environmental medium and biological samples in the unique coal-borne arsenicosis region, especially since the year 2006. In addition, age, duration of consuming high As-containing coal and smoking status were found to be the most significant risk factors for coal-borne arsenicosis during the past 20 years by both two different logistic regression models. Room ventilation and grain drying modes were no longer to be risk factors since 1998 survey. Annual household income had always been an important protective factor for coal-borne arsenicosis in recent 20 years by both two different logistic regression models. Grain storage modes had become significant protective factor in 2014 and 2017 survey. A certain correlation between sex, education and coal-borne arsenicosis was observed by univariate logistic regression model but no clear links were found by multivariate logistic regression model. CONCLUSIONS Considerable efforts to blocking As exposure from burning coal and As contaminated foods in this region are observed over the study period. Further practical health education programs may need to target individuals with long-term of As exposure, lower socioeconomic status and smoking in order to better prevent and control the occurrence and development of coal-borne arsenicosis.
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Affiliation(s)
- Dapeng Wang
- The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Department of Toxicology, School of Public Health, Guizhou Medical University, Guiyang 550025, Guizhou, PR China
| | - Peng Luo
- The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Department of Toxicology, School of Public Health, Guizhou Medical University, Guiyang 550025, Guizhou, PR China
| | - Zhonglan Zou
- The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Department of Toxicology, School of Public Health, Guizhou Medical University, Guiyang 550025, Guizhou, PR China
| | - Qingling Wang
- The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Department of Toxicology, School of Public Health, Guizhou Medical University, Guiyang 550025, Guizhou, PR China
| | - Maolin Yao
- The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Department of Toxicology, School of Public Health, Guizhou Medical University, Guiyang 550025, Guizhou, PR China
| | - Chun Yu
- The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Department of Toxicology, School of Public Health, Guizhou Medical University, Guiyang 550025, Guizhou, PR China
| | - Shaofeng Wei
- The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Department of Toxicology, School of Public Health, Guizhou Medical University, Guiyang 550025, Guizhou, PR China
| | - Baofei Sun
- The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Department of Toxicology, School of Public Health, Guizhou Medical University, Guiyang 550025, Guizhou, PR China
| | - Kai Zhu
- The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Department of Toxicology, School of Public Health, Guizhou Medical University, Guiyang 550025, Guizhou, PR China
| | - Qibing Zeng
- The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Department of Toxicology, School of Public Health, Guizhou Medical University, Guiyang 550025, Guizhou, PR China
| | - Jun Li
- The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Department of Toxicology, School of Public Health, Guizhou Medical University, Guiyang 550025, Guizhou, PR China
| | - Bing Liang
- The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Department of Toxicology, School of Public Health, Guizhou Medical University, Guiyang 550025, Guizhou, PR China
| | - Aihua Zhang
- The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Department of Toxicology, School of Public Health, Guizhou Medical University, Guiyang 550025, Guizhou, PR China.
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Huang H, Wang A, Morello-Frosch R, Lam J, Sirota M, Padula A, Woodruff TJ. Cumulative Risk and Impact Modeling on Environmental Chemical and Social Stressors. Curr Environ Health Rep 2019; 5:88-99. [PMID: 29441463 DOI: 10.1007/s40572-018-0180-5] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
PURPOSE OF REVIEW The goal of this review is to identify cumulative modeling methods used to evaluate combined effects of exposures to environmental chemicals and social stressors. The specific review question is: What are the existing quantitative methods used to examine the cumulative impacts of exposures to environmental chemical and social stressors on health? RECENT FINDINGS There has been an increase in literature that evaluates combined effects of exposures to environmental chemicals and social stressors on health using regression models; very few studies applied other data mining and machine learning techniques to this problem. The majority of studies we identified used regression models to evaluate combined effects of multiple environmental and social stressors. With proper study design and appropriate modeling assumptions, additional data mining methods may be useful to examine combined effects of environmental and social stressors.
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Affiliation(s)
- Hongtai Huang
- Program on Reproductive Health and the Environment, Department of Obstetrics, Gynecology & Reproductive Sciences, University of California, San Francisco, CA, USA.
- Institute for Computational Health Sciences, University of California, San Francisco, CA, USA.
| | - Aolin Wang
- Program on Reproductive Health and the Environment, Department of Obstetrics, Gynecology & Reproductive Sciences, University of California, San Francisco, CA, USA
- Institute for Computational Health Sciences, University of California, San Francisco, CA, USA
| | - Rachel Morello-Frosch
- Program on Reproductive Health and the Environment, Department of Obstetrics, Gynecology & Reproductive Sciences, University of California, San Francisco, CA, USA
- Department of Environmental Science, Policy, and Management, and the School of Public Health, University of California, Berkeley, CA, USA
| | - Juleen Lam
- Program on Reproductive Health and the Environment, Department of Obstetrics, Gynecology & Reproductive Sciences, University of California, San Francisco, CA, USA
| | - Marina Sirota
- Institute for Computational Health Sciences, University of California, San Francisco, CA, USA
- Department of Pediatrics, University of California, San Francisco, CA, USA
| | - Amy Padula
- Program on Reproductive Health and the Environment, Department of Obstetrics, Gynecology & Reproductive Sciences, University of California, San Francisco, CA, USA
| | - Tracey J Woodruff
- Program on Reproductive Health and the Environment, Department of Obstetrics, Gynecology & Reproductive Sciences, University of California, San Francisco, CA, USA
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