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ABSTRACT: One of the major challenges in assessing the potential metal stress to aquatic organisms is explicitly predicting the internal dose in target organs. We aimed to understand the main sources of copper (Cu) accumulation in target organs of tilapia (Oreochromis mossambicus) and to investigate how the fish alter the process of Cu uptake, depuration, and accumulation (toxicokinetics (TK)) under prolonged conditions. We measured the temporal Cu profiles in selected organs after single and combined exposure to waterborne and dietary Cu for 14 days. Quantitative relations between different sources and levels of Cu, duration of treatment, and organ-specific Cu concentrations were established using TK modeling approaches. We show that water was the main source of Cu in the gills (>94 %), liver (>89 %), and alimentary canal (>86 %); the major source of Cu in the muscle (>51 %) was food. Cu uptake and depuration in tilapia organs were mediated under prolonged exposure conditions. In general, the uptake rate, depuration rate, and net bioaccumulation ability in all selected organs decreased with increasing waterborne Cu levels and duration of exposure. Muscle played a key role in accounting for the rapid Cu accumulation in the first period after exposure. Conversely, the liver acted as a terminal Cu storage site when exposure was extended. The TK processes of Cu in tilapia were highly changed under higher exposure conditions. The commonly used bioaccumulation model might lead to overestimations of the internal metal concentration with the basic assumption of constant TK processes.
Environmental Science and Pollution Research 11/2012; · 2.65 Impact Factor
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ABSTRACT: The impact of environmentally pulsed metal exposure on population dynamics of aquatic organisms remains poorly understood and highly unpredictable. The purpose of our study was to link a dynamic energy budget model to a toxicokinetic/toxicodynamic (TK/TD). We used the model to investigate tilapia population dynamics in response to pulsed waterborne copper (Cu) assessed with available empirical data. We mechanistically linked the acute and chronic bioassays of pulsed waterborne Cu at the scale of individuals to tilapia populations to capture the interaction between environment and population growth and reproduction. A three-stage matrix population model of larva-juvenile-adult was used to project offspring production through two generations. The estimated median population growth rate (λ) decreased from 1.0419 to 0.9991 under pulsed Cu activities ranging from 1.6 to 2.0 μg L(-1). Our results revealed that the influence on λ was predominately due to changes in the adult survival and larval survival and growth functions. We found that pulsed timing has potential impacts on physiological responses and population abundance. Our study indicated that increasing time intervals between first and second pulses decreased mortality and growth inhibition of tilapia populations, indicating that during long pulsed intervals tilapia may have enough time to recover. Our study concluded that the bioenergetics-based matrix population methodology could be employed in a life-cycle toxicity assessment framework to explore the effect of stage-specific mode-of-actions in population response to pulsed contaminants.
Ecotoxicology 08/2012; 21(8):2264-75. · 2.36 Impact Factor
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ABSTRACT: Metal dust exposure strongly affects human health, especially for smelters. Little is known, however, about the impact of metal dust exposure on influenza-associated lung function decrement risk in smelters. Different body mass index (BMI) groups were also associated with respiratory diseases. The purpose of this study was to use a probabilistic risk assessment approach to explicitly link occupational metal dust exposure, BMI-correlated health effects, and influenza-associated lung function decrements to investigate potential risk among smelters. Here we showed that (i) influenza A-associated metal dust exposure in SiMn/FeMn/FeCr smelters had slightly higher health risks than that in FeSi/Si-metal's, (ii) BMI≥35 had the highest risk in respiratory infection exacerbations, and (iii) the estimated smelting metal dust induced forced expiratory volume in 1s (FEV(1)) decreasing rates were 0.59 and 1.11m(3)mg(-1) for FeSi/Si-metal and SiMn/FeMn/FeCr smelters, respectively. Our results suggested that smelters better be aware of severe weight gains (e.g., BMIs from 27-40) because it is likely to lead to 17-25% decrements in lung function. This study provides a novel probabilistic risk assessment framework to quantitatively assess the occupational health risk posed by metal dust exposure associated with influenza infection based on BMI measures.
Journal of hazardous materials 07/2012; 235-236:210-7. · 4.14 Impact Factor
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ABSTRACT: The objective of this study was to link transmission dynamics with a probabilistic risk model to provide a mechanistically explicit assessment for estimating the multidrug-resistant tuberculosis (MDR TB) infection risk in regions of Taiwan.
A relative fitness (RF)-based MDR TB model was used to describe transmission, validated with disease data for the period 2006-2010. A dose-response model quantifying by basic reproduction number (R(0)) and total proportion of infected population was constructed to estimate the site-specific MDR TB infection risk.
We found that the incidence rate of MDR TB was highest in Hwalien County (4.91 per 100 000 population) in eastern Taiwan, with drug-sensitive and multidrug-resistant R(0) estimates of 0.89 (95% CI 0.23-2.17) and 0.38 (95% CI 0.05-1.30), respectively. The predictions were in apparent agreement with observed data in the 95% credible intervals. Our simulation showed that the incidence of MDR TB will be falling by 2013-2016. Our results indicated that the selected regions of Taiwan had only ∼1% probability of exceeding 50% of the population with infection attributed to MDR TB.
Our study found that the ongoing control programs implemented in Taiwan may succeed in curing most patients with MDR TB and will reduce the TB incidence countrywide.
International journal of infectious diseases: IJID: official publication of the International Society for Infectious Diseases 07/2012; 16(10):e739-47. · 2.17 Impact Factor
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ABSTRACT: The purpose of this study was to link toxicokinetics/toxicodynamics (TK/TD) and bioavailability-based metal uptake kinetics to assess arsenic (As) uptake and bioaccumulation in three common farmed species of tilapia (Oreochromis mossambicus), milkfish (Chanos chanos), and freshwater clam (Corbicula fluminea). We developed a mechanistic framework by linking damage assessment model (DAM) and bioavailability-based Michaelis-Menten model for describing TK/TD and As uptake mechanisms. The proposed model was verified with published acute toxicity data. The estimated TK/TD parameters were used to simulate the relationship between bioavailable As uptake and susceptibility probability. The As toxicity was also evaluated based on a constructed elimination-recovery scheme. Absorption rate constants were estimated to be 0.025, 0.016, and 0.175 mL g(-1) h(-1) and As uptake rate constant estimates were 22.875, 63.125, and 788.318 ng g(-1) h(-1) for tilapia, milkfish, and freshwater clam, respectively. Here we showed that a potential trade-off between capacities of As elimination and damage recovery was found among three farmed species. Moreover, the susceptibility probability can also be estimated by the elimination-recovery relations. This study suggested that bioavailability-based uptake kinetics and TK/TD-based DAM could be integrated for assessing metal uptake and toxicity in aquatic organisms. This study is useful to quantitatively assess the complex environmental behavior of metal uptake and implicate to risk assessment of metals in aquaculture systems.
Environmental Science and Pollution Research 06/2012; 19(9):3868-78. · 2.65 Impact Factor
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ABSTRACT: The role of cadmium (Cd) bioaccessibility in risk assessment is less well studied. The aim of this study was to assess human health risk to Cd through inhalation and seafood consumption by incorporating bioaccessibility. The relationships between trophically available Cd and bioaccessibility were constructed based on available experimental data. We estimated Cd concentrations in human urine and blood via daily intake from seafood consumption and inhalation based on a physiologically-based pharmacokinetic (PBPK) model. A Hill-based dose-response model was used to assess human renal dysfunction and peripheral arterial disease risks for long-term Cd exposure. Here we showed that fish had higher bioaccessibility (~83.7%) than that of shellfish (~73.2%) for human ingestion. Our results indicated that glomerular and tubular damage among different genders and smokers ranged from 18.03 to 18.18%. Our analysis showed that nonsmokers had 50% probability of peripheral arterial disease level exceeding from 3.28 to 8.80%. Smoking populations had 2-3 folds higher morbidity risk of peripheral arterial disease than those of nonsmokers. Our study concluded that the adverse effects of Cd exposure are exacerbated when high seafood consumption coincides with cigarette smoking. Our work provides a framework that could more accurately address risk dose dependency of Cd hazard.
Journal of hazardous materials 05/2012; 227-228:353-61. · 4.14 Impact Factor
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Environmental Science and Pollution Research 04/2012; 19(5):1867-8. · 2.65 Impact Factor
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ABSTRACT: We linked viral titers and respiratory symptom scores for seasonal influenza to estimate the effective contact rate among schoolchildren.
We analyzed 274 diary-based questionnaires. In addition, 2 sets of influenza data from published studies were used to investigate the relationship between viral titer, total symptom score, and normalized contact rate in children.
The mean number (SD) of contacts for children in grades 7 to 9 ranged from 9.44 ± 8.68 to 11.18 ± 7.98 person⁻¹ day⁻¹; contact behavior was similar across school grades. The mean number of contacts was 5.66 ± 6.23 person⁻¹ day⁻¹ (range, 0 to 44 person⁻¹ day⁻¹) for the age group of 13 to 19 years. Estimated contact age, household size, contact duration, and contact frequency were the variables most strongly associated with total number of contacts. We also found that a reduction in total respiratory symptom scores among infected individuals had a positive correlation with an increase in the normalized contact rate.
The relationship between daily virus titer and respiratory symptom score can be used to estimate the effective contact rate in explaining the spread of an airborne transmissible disease. The present findings can be incorporated into population-dynamic models of influenza transmission among schoolchildren.
Journal of Epidemiology 04/2012; 22(4):353-63. · 1.86 Impact Factor
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ABSTRACT: This study examined the ability of shrimp shell to remove arsenic (As) from aqueous solutions. The shells of two species of
shrimp, black tiger shrimp Penaeus monodon and white shrimp Litopenaeus vannamei, were chosen to be the sorbents. Laboratory exposure experiments estimated uptake and depuration rate constants (i.e., k
1 and k
2) as well as the bioconcentration factors (BCF) of the shells of the two shrimps. A first-order one-compartment model was
presented to describe the uptake kinetics of As in shrimp shell. The resulting k
1, k
2, and BCF values of black tiger shrimp were 0.034–1.722ml/g/day, 0.007–0.345g/g/day, and 5.08±1.56ml/g, while those for
white shrimp were 0.053–0.523ml/g/day, 0.011–0.237g/g/day, and 3.95±1.88ml/g, respectively. The sorption capacities of
black tiger shrimp shell and white shrimp shell were 1.08×10−4–6.66×10−3 and 1.04×10−4–3.26×10−3mmol/g, respectively. The sorption capacity of shrimp shell increased with the initial As concentration in water. Shrimp
shell, as a waste material, could be potentially used for the removal of As from an aqueous medium. Although the As-removal
capacity of shrimp shell was lower than those of natural and chemical sorbents, using shrimp shells as sorbents is less expensive
and could increase the additional value of shrimp products.
Fisheries Science 04/2012; 75(2):425-434. · 0.94 Impact Factor
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ABSTRACT: The manufacture of large quantities of engineered nanomaterials (NMs) may lead to unintended contamination of aquatic ecosystems. Biologically based monitoring techniques need to be developed to detect these emerging NMs. The purpose of this study was to develop a risk-based probability model to predict the potential hazards of nanoecotoxicity toward aquatic organisms posed by waterborne copper and silver nanoparticles (Cu/Ag NPs). Published experimental evidence based on Cu/Ag NP-zebrafish (Danio rerio) systems was adopted as the study data. A Hill model was used to reconstruct a concentration-mortality response profile. A cumulative Weibull predictive model was employed to estimate exposure thresholds. The derived probabilistic model can predict the potential risk of environmentally relevant Cu/Ag NPs for major Taiwanese rivers with predicted environmental concentrations of 0.06 (95% confidence interval (CI): 0.01-0.92) mgL(-1) for Cu NPs and 0.04 (0.01-0.11) mgL(-1) for Ag NPs. The results indicated that estimated thresholds were 0.10-0.48mgL(-1) (95% CI) for Cu NPs and 2.69-2.73mgL(-1) for Ag NPs. The probabilities of a risk quotient (RQ) of >1 ranged 17%-81% for zebrafish exposed to Cu NPs. This study found that Ag NP exposure scenarios posed no significant risks to zebrafish (RQ≪0.1).
Science of The Total Environment 03/2012; 420:111-8. · 3.29 Impact Factor
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Environmental Science and Pollution Research 03/2012; · 2.65 Impact Factor
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ABSTRACT: Arsenic (As) is the element of greatest ecotoxicological concern in aquatic environments. Effective monitoring and diagnosis of As pollution via a biological early warning system is a great challenge for As-affected regions. The purpose of this study was to synthesize water chemistry-based bioavailability and valve daily rhythm in Corbicula fluminea to design a biomonitoring system for detecting waterborne As. We integrated valve daily rhythm dynamic patterns and water chemistry-based Hill dose-response model to build into a programmatic mechanism of inductance-based valvometry technique for providing a rapid and cost-effective dynamic detection system. A LabVIEW graphic control program in a personal computer was employed to demonstrate completely the functional presentation of the present dynamic system. We verified the simulated dissolved As concentrations based on the valve daily rhythm behavior with published experimental data. Generally, the performance of this proposed biomonitoring system demonstrates fairly good applicability to detect waterborne As concentrations when the field As concentrations are less than 1 mg L(-1). We also revealed that the detection times were dependent on As exposure concentrations. This biomonitoring system could particularly provide real-time transmitted information on the waterborne As activity under various aquatic environments. This parsimonious C. fluminea valve rhythm behavior-based real-time biomonitoring system presents a valuable effort to promote the automated biomonitoring and offers early warnings on potential ecotoxicological risks in regions with elevated As exposure concentrations.
Ecotoxicology 02/2012; 21(4):1177-87. · 2.36 Impact Factor
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ABSTRACT: The impact of environmentally pulsed metal exposure on aquatic organisms is poorly understood experimentally. The purpose of this study was to provide an analysis methodology for assessing the effects of pulsed waterborne copper (Cu) on life-stage tilapia populations. We conducted 10-day exposure experiments to obtain toxicokinetic parameters for larva, juvenile, and adult tilapia exposed to pulsed Cu. We linked threshold damage model and biotic ligand model to assess the survival probability for tilapia populations to pulsed Cu exposure. Here we showed that the change in exposure patterns did change substantially survival rates for each life stage of tilapia. We indicated that an apparent difference in time course of survival probability between pulsed and constant Cu exposures was found in each life stage. We concluded that the life-stage factor needs to be incorporated into studies of species interactions under different disturbance regimes. This study suggested that life-stage-specific toxicokinetic parameters and adequate water chemistry might be important to consider in risk assessment of population survivorship for aquatic species under pulsed exposure scenarios.
Science of The Total Environment 02/2012; 417-418:129-37. · 3.29 Impact Factor
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Environmental Science and Pollution Research 02/2012; · 2.65 Impact Factor
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ABSTRACT: Variety of environmental and individual factors can cause tuberculosis (TB) incidence change. The purpose of this study was to assess the characteristics of TB trends in the period 2004 - 2008 in Taiwan by month, year, gender, age, temperature, seasonality, and aborigines.
The generalized regression models were used to examine the potential predictors for the monthly TB incidence in regional and national scales.
We found that (i) in Taiwan the average TB incidence was 68 per 100,000 population with mortality rate of 0.036 person-1 yr-1, (ii) the highest TB incidence rate was found in eastern Taiwan (116 per 100,000 population) with the largest proportion of TB relapse cases (8.17%), (iii) seasonality, aborigines, gender, and age had a consistent and dominant role in constructing TB incidence patterns in Taiwan, and (iv) gender, time trend, and 2-month lag maximum temperature showed strong association with TB trends in aboriginal subpopulations.
The proposed Poisson regression model is capable of forecasting patterns of TB incidence at regional and national scales. This study suggested that assessment of TB trends in eastern Taiwan presents an important opportunity for understanding the time-series dynamics and control of TB infections, given that this is the typical host demography in regions where these infections remain major public health problems.
BMC Public Health 01/2012; 12:29. · 2.00 Impact Factor
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ABSTRACT: The purpose of this study was to examine tuberculosis (TB) population dynamics and to assess potential infection risk in Taiwan. A well-established mathematical model of TB transmission built on previous models was adopted to study the potential impact of TB transmission. A probabilistic risk model was also developed to estimate site-specific risks of developing disease soon after recent primary infection, exogenous reinfection, or through endogenous reactivation (latently infected TB) among Taiwan regions. Here, we showed that the proportion of endogenous reactivation (53-67%) was larger than that of exogenous reinfection (32-47%). Our simulations showed that as epidemic reaches a steady state, age distribution of cases would finally shift toward older age groups dominated by latently infected TB cases as a result of endogenous reactivation. A comparison of age-weighted TB incidence data with our model simulation output with 95% credible intervals revealed that the predictions were in an apparent agreement with observed data. The median value of overall basic reproduction number (R₀) in eastern Taiwan ranged from 1.65 to 1.72, whereas northern Taiwan had the lowest R₀ estimate of 1.50. We found that total TB incidences in eastern Taiwan had 25-27% probabilities of total proportion of infected population exceeding 90%, whereas there were 36-66% probabilities having exceeded 20% of total proportion of infected population attributed to latently infected TB. We suggested that our Taiwan-based analysis can be extended to the context of developing countries, where TB remains a substantial cause of elderly morbidity and mortality.
Risk Analysis 12/2011; 32(8):1420-32. · 2.37 Impact Factor
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ABSTRACT: High levels of arsenic in groundwater and drinking water represent a major health problem worldwide. Drinking arsenic-contaminated groundwater is a likely cause of blackfoot disease (BFD) in Taiwan, but mechanisms controlling the mobilization of arsenic present at elevated concentrations within aquifers remain understudied. Microcosm experiments using sediments from arsenic contaminated shallow alluvial aquifers in the blackfoot disease endemic area showed simultaneous microbial reduction of Fe(III) and As(V). Significant soluble Fe(II) (0.23±0.03 mM) in pore waters and mobilization of As(III) (206.7±21.2 nM) occurred during the first week. Aqueous Fe(II) and As(III) respectively reached concentrations of 0.27±0.01 mM and 571.4±63.3 nM after 8 weeks. We also showed that the addition of acetate caused a further increase in aqueous Fe(II) but the dissolved arsenic did not increase. We further isolated an As(V)-reducing bacterium native to aquifer sediments which showed that the direct enzymatic reduction of As(V) to the potentially more-soluble As(III) in pore water is possible in this aquifer. Our results provide evidence that microorganisms can mediate the release of sedimentary arsenic to groundwater in this region and the capacity for arsenic release was not limited by the availability of electron donors in the sediments.
Journal of hazardous materials 12/2011; 197:397-403. · 4.14 Impact Factor
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ABSTRACT: It has been proposed that irreversible responses of organisms exposed to contaminants are due to a systems-level feedback. Here we tested this hypothesis by reanalyzing the published data on toxicokinetics and survival probability based on a systems-level threshold damage model (TDM) incorporating with a positive damage feedback to explore the steady-state response and dynamic behavior of damage for tilapia and freshwater clam exposed to waterborne arsenic (As). We found that ultrasensitivity appeared in As-tilapia and freshwater clam systems with Hill coefficient n ≥ 4, indicating that the positive damage feedback mechanism has been triggered. We confirmed that damage can trigger a positive feedback loop that together with As stressor increases irreversibility. This study also showed that TDM with positive feedback gave a much better predictability than that of TDM at As concentrations ranging from 100 to 500 mg l(-1) for freshwater clam, whereas for tilapia, two models had nearly same performance on predictability. We suggested that mortality-time profile derived Hill coefficient could be used as a new risk indicator to assess the survival probability for species exposed to waterborne metals. We anticipated that the proposed toxicokinetics/toxicodynamics with a positive damage feedback may facilitate our understanding and manipulation of complex mechanisms of metal susceptibility among species and improve current risk assessment strategies.
Ecotoxicology 11/2011; 21(2):485-95. · 2.36 Impact Factor
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ABSTRACT: The purpose of this article was to develop an integrated-scale toxicological model to investigate the impact of cadmium (Cd) toxicity on rainbow trout (Oncorhynchus mykiss) based on recent published experimental data. This model was generated from three different types of functional relationship: biotic ligand model (BLM), damage assessment model (DAM), and subcellular partitioning model (SPM), both of key toxicological determinants involved and of functional connections between them. Toxicokinetic parameters of uptake rate constant (k(1)) and elimination rate constant (k(2)) in gill, liver, and subcellular fractions were derived. A negative correlation between gill binding fraction of Cd and bioaccumulation factor was found. Detoxifying ability (% detoxified in liver metabolically detoxified pool (MDP)) and k(2) were negatively correlated, indicating that increasing % detoxified in MDP can compensate for lower k(2). This finding suggests a potential tradeoff between the abilities of elimination and detoxification for Cd. Yet, compensation between the ability to eliminate Cd and the ability to recover Cd-induced damage was not found. However, changes in k(2) and recovery rate constant (k(r)) can shift the dynamics of Cd susceptibility probability. This analysis implicates that once k(2) is determined experimentally, the values of k(r) and % detoxified in MDP can be predicted by the proposed k(2)-k(r) and k(2)-% detoxified relationships. This study suggests that the mechanistic linking of BLM-based DAM and SPM can incorporate the organ- and cell-scale exposure experimental data to investigate the mechanisms of ecophysiological response for aquatic organisms exposed to metal stressors.
Environmental Toxicology 11/2011; 26(6):600-9. · 2.41 Impact Factor
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ABSTRACT: The purpose of this paper was to examine trade-offs between elimination and detoxification in rainbow trout and three common bivalve molluscs (clam, oyster, and scallop) exposed to cadmium (Cd), copper (Cu), and zinc (Zn) based on recent reported experimental data. We incorporated metal influx threshold with subcellular partitioning to estimate rate constants of detoxification (k(d)) and elimination (k₂). We found that the relationships between k₂ and k(d) were negative for rainbow trout and positive for bivalve molluscs. However, the relationships between k(d) and % metal in metabolically detoxified pool were found positive for rainbow trout and negative for bivalve molluscs. Our results also indicated that rainbow trout had higher accumulation (~60-90%) in metabolically active pool when exposed to essential metals of Cu and Zn and had only 10-50% accumulation in response to non-essential metal of Cd. Based on a cluster analysis, this study indicated that similarity of physiological regulations among study species was found between Cd and Zn. Our study suggested that detoxification can be predicted by an elimination-detoxification scheme with the known elimination rate constant. We concluded that quantification of trade-offs between subcellular partitioning and detoxification provides valuable insights into the ecotoxicology of aquatic organisms and enhances our understanding of the subcellular biology of trace metals.
Chemosphere 08/2011; 85(6):1048-56. · 3.21 Impact Factor
