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Intrinsic clearance of xenobiotic chemicals by liver microsomes: Assessment of trophic magnification potentials Guomao Zheng, Yi Wan, and Jianying Hu Environ. Sci. Technol., Just Accepted Manuscript • DOI: 10.1021/acs.est.6b01178 • Publication Date (Web): 06 May 2016 Downloaded from http://pubs.acs.org on May 8, 2016

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Intrinsic clearance of xenobiotic chemicals by liver microsomes: Assessment of trophic

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magnification potentials

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Guomao ZHENG, Yi WAN*, Jianying HU

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Laboratory for Earth Surface Processes, College of Urban and Environmental Sciences,

Peking University, Beijing 100871, China (Received

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*Address for Correspondence:

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Address for Correspondence

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Dr. Yi WAN

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College of Urban and Environmental Sciences

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Peking University

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Beijing 100871, China

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TEL & FAX: 86-10-62759126

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Email: [email protected]

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ABSTRACT

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The use of trophic magnification factors (TMFs) to characterize the bioaccumulation

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potentials of chemicals was encouraged, however the method for assessment of trophic

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magnification potentials is still lacking. We optimized the in vitro assays used for the

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measurement of intrinsic clearance in liver microsomes by incorporating benzo[a]pyrene

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[B(a)P] as a benchmark compound. The intrinsic clearance of 40 compounds was then

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measured in microsomes from fish (weevers) and birds (quail); the characteristics of the

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trophic transfer of these 40 compounds were previously investigated in an aquatic food web in

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Bohai in northern China. Chemicals that are biotransformed at a rate similar to or higher than

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that of B[a]P in the microsomes of both weevers and quail (CL/CLB[a]P: 0.1 to 2.4) generally

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exhibited no significant trophic magnification or dilution in the food web (TMF ≈1 or 1).

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The in vitro intrinsic clearance values of the target chemicals were found to be consistent with

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their respective trophic transfer behavior in the aquatic food web. Significant negative

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correlations were also found between the TMFs and intrinsic clearance values of all target

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chemicals obtained in microsomes from both weevers and quail. Multiple linear regression

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analysis showed that biotransformation rates (CL/CLB[a]P) is a more important factor

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compared with log Kow in the assessment of the trophic magnification of chemicals in the

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aquatic food web.

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Keyword: Trophic Magnification, Food web, Bioaccumulation, Weever, Quail

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INTRODUCTION

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The persistent organic pollutants (POPs) protocol endorsed by more than 100 countries in

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2004 has led to significant activities in the assessment of persistent, bioaccumulative and

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toxic substances throughout the world.1 Bioaccumulation is a fundamental process in

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environmental toxicology and risk assessment because it determines the internal dose of

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environmental pollutants.2 Bioaccumulation potentials have been routinely scrutinized by

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regulatory agencies across the globe as part of the risk assessment of chemicals.3

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Governments worldwide have sought to evaluate all commercial chemicals to identify

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substances that undergo trophic magnification in the food web and achieve harmful

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concentrations in organisms.4

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Screening and assessment of bioaccumulation generally rely on laboratory-derived

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bioconcentration factors (BCFs) or field-determined bioaccumulation factors (BAFs).5 In the

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past few decades, studies of pollutants in food webs have demonstrated that bioaccumulation

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in food webs is not solely a lipid-water partitioning process. During a global “Lab-field

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Bioaccumulation Workshop” held in New Orleans, Louisiana, the use of trophic

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magnification factors (TMFs) to characterize the bioaccumulation potentials of chemicals was

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encouraged because they provide a characterization of the average degree of trophic

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magnification that occurs across an entire food web.4, 6-8 The hydrophilicity (water solubility)

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of compounds is considered to be an important determinant of the trophic magnification of

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chemicals in aquatic environments. A good correlation between TMFs and log Kow has been

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reported for recalcitrant polychlorinated biphenyls (PCBs), chlorobenzenes (ClBs),

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chlordanes, hexachlorocyclohexanes (HCHs), dichlorodiphenyltrichloroethane (DDTs), mirex,

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and dieldrin in the North Water Polynya marine food web.9 However, most trophodynamic

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studies have focused on POPs or emerging POPs, which generally showed trophic

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magnification in aquatic food webs. Some studies also found that compounds with a similar

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log Kow did not biomagnify (e.g., 4-nonylphenol [NPs], phthalate esters [PEs]) or even

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exhibited trophic dilution (e.g., polycyclic aromatic hydrocarbons [PAHs] or hydroxylated

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polybrominated diphenyl ethers [OH-PBDEs]) in aquatic food webs, which suggests that

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other factors also affect TMFs.10-13 Biotransformation has long been recognized as an

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important source of uncertainty in predictions of bioaccumulation,14, 15 and biodegradation

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testing is required for bioaccumulation assessments under the Chemical Substance Control

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Law in Japan.3 However, the influence of biotransformation on the trophic transfer of

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chemicals is unknown due to the limited availability of biological biotransformation rates and

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their relationships with reported TMFs.

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Currently, the methods most often adopted for accurately and efficiently determination of

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biotransformation rates are still lacking. Among the various in vitro methods, subcellular

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fractions of the liver (e.g., microsomes or S9) have been shown to be best suited to the

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high-throughput screening of chemicals’ biotransformation potentials.14,

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demonstrated that cryopreserved trout hepatocytes can be used to reliably obtain in vitro

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intrinsic clearance of xenobiotics.17 The results of that study also suggested that incorporation

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of one or more “benchmarking” chemicals into in vitro chemical depletion could potentially

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reduce the variation between different batches.17 However, information regarding the nature

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of an ideal benchmarking compound (e.g., the desired pathway for metabolism and ease of

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analysis) is still lacking.

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A recent study

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Bohai is an enclosed inland sea in northern China. In recent decades, the trophodynamics

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of about 40 chemicals have been studied in the Bohai aquatic food web, which includes

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phytoplankton/seston, zooplankton, invertebrates, fish, and birds.10, 12, 13, 18-21 The resulting

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TMFs database of the 40 chemicals obtained from the same aquatic food web provides an

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excellent opportunity to examine the influence of biotransformation and log Kow on the

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trophic magnification of various chemicals. In this study, microsomes of the marine weever

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(Lateolabras japonicus) and common quail (Coturnix coturnix) were used to obtain the

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intrinsic biotransformation rates. The weever is a typical predatory fish that has a large body

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size and a high trophic level (3.88±0.49) in the Bohai aquatic food web. 10, 19 Quail were used

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to replace seagulls because fresh seagull liver tissue could not be obtained. An in vitro method

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for the determination of repeatable biotransformation rates was developed and applied to

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compounds with field-derived TMFs values. The relationships between the log Kow,

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biotransformation rates, and TMFs were explored to establish a method to predict the trophic

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magnification of chemicals in aquatic food webs.

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MATERIALS AND METHODS

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Chemicals and Reagents. Thirteen individual PAHs standards (acenaphthene [ACE],

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fluorene [FE], phenanthrene [PH], anthracene (AN), fluoranthene [FL], pyrene [PY], chrysene

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[CH], benzo[k]fluoranthene [B(k)F], benzo[a]pyrene [B(a)P], benzo[ghi]perylene [BP],

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dibenz[a,h]anthracene [DA], benzo[b]fluoranthene [B(b)F], and benz[a]anthracene [B(a)A])

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and four surrogate standards (acenaphthene-d10, phenanthrene-d10, chrysene-d12, and

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perylene-d14) were obtained from AccuStandard (New Haven, CT). Eight individual PBDEs

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(BDE28, BDE47, BDE99, BDE100, BDE119, BDE153, BDE154, and BDE183), mirex,

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seven individual PCBs (PCB105, PCB114, PCB118, PCB123, PCB157, PCB169, and

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PCB189), and

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ON, Canada). 2'-OH-6'-Cl-BDE7, 6-OH-BDE47, 6'-MeO-BDE17, and 6-MeO-BDE47 were

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synthesized in the Department of Biology and Chemistry, City University of Hong Kong.

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HCB and p,p'-DDE were purchased from Chemservice (Chester, England), p,p'-DDMU was

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obtained from Sigma (St. Louis, MO), and their surrogates (PCB121 and PCB 198) were

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obtained from AccuStandard. 4-NP (technical grade) and 4-n-NP were purchased from Kanto

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Chemicals (Tokyo, Japan). NPEOs was purchased from Hayashi Pure Chemicals (Tokyo,

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Japan). Monobutyltin trichloride (MBT) was purchased from Acros Organics (Geel, Belgium),

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dibutyltin dichloride (DBT), tributyltin chloride (TBT), and triphenyltin chloride (TPT) were

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purchased from Wako (Osaka, Japan). Deuterated organotins (MBT-d9, DBT-d18, TBT-d27,

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and TPT-d15) were obtained from Hayashi Pure Chemicals. Dichloromethane (DCM),

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n-hexane, acetone, acetonitrile, and methanol of pesticide residue grade were obtained from

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Fisher Chemicals (Fair Lawn, NJ). Methyl chloroformate was obtained from Sigma-Aldrich.

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O-bis (trimethylsilyl) trifluoroacetamide (BSTFA) was obtained from Supelco (Bellefonte,

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PA). Sodium tetraethylborate (NaBEt4) was purchased from Wako. Water was prepared with

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a Milli-Q Synthesis water purification system (Millipore, Bedford, MA). A nicotinamide

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adenine dinucleotide phosphate (NADPH) regenerating system and dithiothreitol (DTT) were

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purchased from Promega (Madison, WI). Sodium sulfate (analytical reagent grade, Beijing

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Chemicals) was baked at 450 °C for 4 hours and stored in a drying oven before use.

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C-labeled PCBs were obtained from Wellington Laboratories Inc. (Guelph,

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Monopotassium phosphate, dipotassium phosphate, ethylene diamine tetraacetic acid (EDTA),

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glycerol, and sucrose were purchased from Beijing Chemicals.

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In Vitro Microsomal Incubations.

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B[a]P was added to the incubation mixtures as a benchmark compound to normalize the

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variation in the transformation rates that occurred in different batches of analyses. The details

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of the preparation of microsomes are provided in the supporting information (SI). The protein

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concentrations were determined with the Bradford method using bovine serum albumin as a

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standard and according to the manufacturer’s protocol (Sigma-Aldrich). Hepatic microsomal

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CYP450 enzymes and four specific CYP enzymes (7-ethoxyresorufin O-deethylase [EROD],

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7-pentoxyresorufin O-demethylase [PROD], 7-methoxyresorufin O-demethylase [MROD]

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and 7-benzyloxyresorufin O-dealkylatase [BROD]) from weevers and quail were measured

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with fluorescence kits (Genmed Scientific Inc., USA). The EROD, PROD, MROD and

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BROD were markers for CYP1A1, CYP2B1, CYP1A2, and CYP3A1 activity, respectively.

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For in vitro incubations of weever microsomes, the reactions were performed in 50 mM

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phosphate buffer (pH 7.4) containing 1 mM EDTA, 1 mM DTT, and 20% (v/v) glycerol. The

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reaction mixtures (200 µL) consisted of 100 µL liver microsomes (2 mg/mL protein), 60 µL

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NADPH regenerating system, and 1 µL substrate (0.5 µM for both individual compounds and

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B[a]P) were incubated in 1.5-mL amber glass vials. Reactions were initiated by adding a

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NADPH-generating system (NADP, 6.5 mM; glucose 6-phosphate, 16.5 mM; MgCl2, 16.5

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mM; and glucose 6-phosphate dehydrogenase, 2 U/mL). Incubations were carried out in

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triplicate in separate glass vials at 25°C, and 200 µL ice-cold acetone was added into each vial

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to terminate the reaction after 0, 1, 3, 5, 9, 12 and 24 h.

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For in vitro incubations of quail microsomes, 50 mM phosphate buffer (pH 7.4)

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containing 5 mM MgCl2 and 0.5 mM EDTA was added into the incubation vials. The reaction

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mixtures (200 µL) consisted of 100 µL liver microsomes (2 mg/mL protein), 60 µL NADPH

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regenerating system, and 1 µL substrate (0.5 µM for individual compounds and 2 µM for

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B[a]P) and were incubated in 1.5-mL amber glass vials. Reactions were initiated by adding a

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NADPH-generating system (NADP, 6.5 mM; glucose 6-phosphate, 16.5 mM; MgCl2, 16.5

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mM; and glucose 6-phosphate dehydrogenase, 2 U/mL). Incubations were carried out in

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triplicate at 39°C in separate glass vials, and 200 µL ice-cold acetone was added into each vial

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to terminate the reaction after 0, 10, 20, 30, 40, and 60 minutes

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The vials were stored at −20°C until chemical analysis. The microsomes were inactivated

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by boiling for 10 min and were then cooled on ice. Incubations with deactivated microsomes

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and standards were used as negative controls to assess potential background interference and

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the possibility of non-enzymatic changes. The percentage variations of concentrations of

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target compounds along with the incubation time in the deactivated liver microsomes were

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shown in SI Figure S1 and Figure S2.

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Sample Analysis.

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The incubation mixture in each vial was added with 1 mL of water and surrogates, and

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extracted three times with 1 mL hexane. The aquatic fraction was then passed through a

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Pasteur pipe filled with sodium sulfate to remove moisture and eluted with 1 mL hexane and 1

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mL DCM, which were also used to rinse the glass vial before elution. All of the extracts were

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combined and concentrated to 50 µL for instrumental analysis. The organotins were

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derivatized with NaBEt4 before GC-EI-MS analysis, 4-NP was derivatized with BSTFA

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before GC-EI-MS analysis, and 6-OH-BDE47 was derivatized with methyl chloroformate

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before GC-NCI-MS analysis. PAHs, PCBs, DDTs, HCB, mirex, organotins, and 4-NP were

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directly analyzed by GC-EI-MS (Agilent Technologies); PBDEs, 6-MeO-BDE47 and

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6-OH-BDE47 were analyzed by GC-NCI-MS (Shimadzu QP 2010 plus, Japan); and NPEOs

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were analyzed with high-performance liquid chromatograph (Agilent 1100 Series, USA)

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coupled with a fluorescence detector (Agilent 1200 Series, USA). Detailed information on the

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instrumental conditions for each group of chemicals are provided in SI.

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Quality Assurance/Quality Control.

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Concentrations of PAHs in sample extracts were quantified relative to deuterated PAHs

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(chrysene-d12, perylene-d14 and perylene-d14), PBDEs and 6-MeO-BDE47 were quantified

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relative to 6’-MeO-BDE17, 6-OH-BDE47 were quantified relative to 2’-OH-6’-Cl-BDE7,

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p,p’-DDE, p,p’-DDMU, and HCB were quantified relative to PCB 121, 4-NP were quantified

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relative to 4-n-NP, organotins were quantified relative to deuterated organotins (MBT-d9,

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DBT-d18, TBT-d27 and TPT-d15), mirex was quantified to PCB 198, and PCBs were quantified

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relative to

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1%, 85 ± 13%, 85 ± 6%, 72 ± 19%, 124 ± 7%, 93 ± 26%, and 119 ± 14% for deuterated PAHs,

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6’-MeO-BDE17, PCB 121, PCB198, 2’-OH-6’-Cl-BDE7, 4-n-NP, deuterated organotins, and

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Data analysis.

194 195 196

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C-labeled PCBs. The recoveries of surrogates standards were 78 ± 19%, 100 ±

C-labeled PCBs, respectively.

The declining concentrations of substrate in the incubation mixtures over time followed the monoexponential decay model and were fitted to the linear equation (1): ࢒࢔࡯࢚ = ࢒࢔࡯૙ − ࡷ ∙ ࢚

(1)

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where t is incubation time; C0 and Ct are the substrate concentrations in the incubation

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medium at time zero and time t, respectively; and K is the apparent first-order

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biotransformation rate constant (h-1). The in vitro intrinsic clearance values (CL, mL/h/mg

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protein) were obtained according to the equation (2): ۱‫= ۺ‬

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ࡷ ࡯࢖࢘࢕࢚ࢋ࢏࢔

(2)

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where Cprotein is the protein concentration (mg protein/ml) of the incubation mixtures. The in

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vitro intrinsic clearance value of each chemical was normalized to that of B[a]P according to

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the equation (3): ۱‫ۺ‬′ =

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࡯ࡸ ࡯ࡸ࡮ሾࢇሿࡼ

(3)

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where CL' is the normalized intrinsic clearance value of target compounds and CLB[a]P is the

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intrinsic clearance value of B[a]P.

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Statistical analysis.

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Multiple linear regression models were constructed to determine the contribution of log

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Kow and the biotransformation rate on the trophic magnification of chemicals. TMFs were

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slopes of the correlations between concentrations of chemicals in organisms and trophic levels.

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The significances of the correlations were examined by Spearman’s rank correlation test. The

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TMFs were log10-transformed before analysis, and the linear regression was regarded as

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significant when the p value was less than 0.05. The correlations between Ln(Ct/C0) and the

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incubation time were also examined with Spearman’s rank correlation test. The linear

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regression was regarded as significant when the value of p was below 0.05. All statistical

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analyses were performed with SPSS 13.0 statistical software (SPSS, Inc., Chicago, IL).

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RESULTS AND DISCUSSION

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Hepatic microsomal enzyme activities.

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The activities of hepatic microsomal CYP450 enzymes and the four specific CYP

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enzymes (EROD, PROD, MROD, and BROD) in weevers and quail are listed in Table 1. The

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total and specific CYP450 enzyme activities in the microsomes of weevers were within the

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ranges of those in marine fish reported previously,22, 23 and the profiles of EROD, MROD,

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PROD, and BROD activities were also similar to those of the corresponding enzymes in

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previous investigations.24-27 In the quail liver microsomes, the EROD, MROD, PROD, and

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BROD activities were determined to be 6.8±0.1, 1.7±0.8, 10.5±2.2 and 10.7±0.3

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pmol/mg/min, respectively, which were all within the normal ranges reported previously for

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herring gulls, glaucous gulls, yellow legged gulls, chickens, black-legged kittiwake, European

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quail, grey partridges and northern fulmar.28-34 Similar hepatic enzyme activities observed

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between quail and other avian species suggested that quail could be used as an acceptable

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model to replace seagulls in this study. The incubation of chemicals with quail microsomes

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was conducted for 1 h due to the relatively high activities of hepatic microsomal CYP

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enzymes, and incubations of chemicals with weever microsomes were extended to 24 h to

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evaluate biotransformation potentials of persistent compounds (e.g., PCBs). A similar

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incubation time (24 h) was also applied in the incubation of fish microsomes in previous

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studies.35-37 The enzyme activities of EROD, PROD, MROD, and BROD along with the

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incubation time were determined in microsomes of weevers and quail, and no significant

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decline was observed for the target enzyme activities (SI Figure S3), which suggests that

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biotransformation can continue for up to 24 h during in vitro incubations.

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Method Optimization.

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The reliability of the in vitro assays for assessment of bioaccumulation is substantially

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hampered by the high variability in enzyme viability and metabolic capacity between different

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batches. This variability might be accounted for with the use of benchmark chemicals with

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known metabolic characteristics.14,

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compound in in vitro assays to normalize the variation that occurred across different batches

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of analyses. B[a]P was reported to undergo biotransformation mainly through CYP1A1,38 and

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depletion of the chemical followed first-order kinetics with relatively constant first-order rate

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constant in previous studies.15-17, 39, 40 Three chemicals (PH, 6-MeO-BDE47, and 4-NP) from

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diverse chemical classes were used to assess the variability in the assays, because PH,

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6-MeO-BDE47, and 4-NP undergo steadily biotransformation by CYP1A1, CYP2B and

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CYP1A2, respectively.41-43 The activities of EROD, PROD, and MROD—markers for

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CYP1A1, CYP2B1, CYP1A2, respectively—have been determined to be within normal

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ranges in microsomes of weevers (Table 1). Incubation of B[a]P with chemicals

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biotransformed by the same or different metabolic enzymes in microsomes could help to

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clarify whether the benchmark chemical would reduce the variations within different enzymes.

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Each chemical was tested relative to B[a]P in the microsomes of weevers in triplicate batches

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at a low substrate concentration (0.5 µM). The low substrate concentration prevented enzyme

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saturation and high cytotoxicities of the chemicals, and allowed for detection of significant

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depletion of substrates. The microsomes for each batch were isolated at different times

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(January, July, and November 2014). As shown in Figure 1, the in vitro intrinsic clearance

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values of PH, 6-MeO-BDE47, and 4-NP were 0.007±0.0017, 0.027±0.005, and 0.021±0.013

17

In this study, B[a]P was tested as a benchmark

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mL/h/mg protein with the variation (%CV) in intrinsic clearance values of 23%, 23%, and

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61%, respectively. After correction by the intrinsic clearance value of B[a]P, the CL' values

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for PH, 6-MeO-BDE47, and 4-NP were 0.22±0.037, 0.41±0.019, and 0.29±0.046,

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respectively, and the variation (%CV) of the three compounds decreased to 5-17%. The

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corrected variation was in the range of the reported intra-laboratory variability (4.1-30%)

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achieved when the hepatocyte assay was isolated and cryopreserved in one location.17 The

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study’s results demonstrate that the incorporation of B[a]P benchmarking could substantially

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reduce the variability between batches. And the variations of enzyme activities caused by

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cytotoxicity of chemicals and other abiotic factors during the incubations could also be

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corrected by the depletion of B[a]P in the in vitro system.

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Another critical issue that can cause great variation in in vitro systems is the adsorption of

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chemicals into the reaction vessels or proteins.14 In this study, a separate amber glass vial (1.5

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mL) was used for incubations at different reaction times. This approach differs from previous

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methods in which an aliquot of the suspension was taken from the reaction vial each time.17, 44,

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45

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solutions or adsorption into vessels. The adsorption of chemicals during incubations would

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also cause substrate loss during liquid-liquid extraction, possibly as a result of the nonspecific

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binding of chemicals to proteins within the system, a process that could not be reduced by

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liquid-liquid extraction. An extraction method was developed in this study in which

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incubation mixtures were passed through a Pasteur pipette filled with anhydrous sodium

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sulfate, which was then eluted by hexane and DCM. As a result of this method, the target

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compounds showed 88-114% recovery in all of the incubated samples terminated by ice-cold

Using the amber glass vial helped to avoid the uneven distribution of chemicals in the

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acetone at 0 h (SI Figure S4); these values were significantly higher than those in samples in

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which liquid-liquid extraction was used (40-55%).

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Intrinsic Clearances.

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The substrate depletion approach has been well adopted for estimation of intrinsic

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clearance for a single compound.15,17,40,46-48 In this study, the biotransformation of target

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compounds followed first-order kinetics in both weever and quail liver microsomes. A

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summary of the in vitro intrinsic clearance values for the 40 compounds examined are listed

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in Table 2. Relatively high intrinsic clearance rates were observed for PAHs,

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6-OH/MeO-BDE47, NPEOs, 4-NP, and butyltins, and the CL of these compounds was

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determined to be 0.0022-0.17 mL/h/mg protein and 0.26-4.6 mL/h/mg protein in the liver

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microsomes of weevers and quail, respectively. In comparison, no statistically significant

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decline was found for PBDEs, DDTs, HCB, mirex, PCBs, or TPT during the incubation

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periods in weever microsomes, and extremely slow depletion was observed for PBDEs and

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p,p'-DDMU in quail microsomes, with a CL of 0.05-0.39 mL/h/mg protein. The available

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substrate depletion studies focused mainly on the hepatic clearance of 4-NP, PAHs, and some

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pharmaceuticals in fish.39, 46-51 The CL of 4-NP was reported to be 0.18 and 0.11 mL/h/mg

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protein in trout liver microsomes and S9 fractions, respectively,39 which were relatively

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higher than those found in the weever microsomes in this study (0.021 mL/h/mg protein). The

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intrinsic clearance values of B[a]P reported in three separate studies were 0.024±0.003

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mL/h/mg protein (dosed concentrations, 0.5 µM),51 0.032-0.088 mL/h/mg protein (dosed

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concentrations, 2 µM),39 and 0.19-0.37 mL/h/mg protein (dosed concentrations, 1-2.5 µM).49

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The differences between these reported intrinsic clearance rates might have resulted from the

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use of different trout subspecies, S9 fraction protein concentrations, and beginning substrate

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concentrations. The CL of B[a]P in weever microsomes (0.03±0.02 mL/h/mg protein) in this

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study was in the range of the reported values cited above.

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To the best of our knowledge, no information is available about the in vitro intrinsic

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clearance of chemicals in birds. The extremely low intrinsic clearance values of persistent

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chemicals (e.g., DDTs, HCB, mirex, PCBs, and TPT) in quail microsomes were similar to the

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values obtained in weever microsomes, but the CLquail of the chemicals that undergo steady

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biotransformation was found to be 14 to 1500 times higher than those in weever microsomes

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(Table 2). It is interesting to note that the hepatic clearance values of PAHs increased in a

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linear relationship with benzo-rings in incubations with weever microsomes (Figure 4). The

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relationship was similar to the increasing degree of stereoselectivity with the size and shape of

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the molecules in the metabolism of PAHs by bullhead liver microsomes: B[a]P (five

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benzo-rings) > CH (four benzo-rings) > PH (three benzo-rings).52-54 However, a negative

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correlation was observed between the CL'quail of PAHs and their benzo-rings in quail

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microsomes (Figure 4). The discrepancy between quail and fish for the microsomal

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metabolism of PAHs was also reported between rats and fish, possibly because of the

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significantly different stereoselectivities of cytochrome P450 enzymes between the two

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species.52-56 The results suggested that quail and rat liver microsomal enzymes may have

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similar stereoselectivity in the metabolism of PAHs.

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Assessment of Trophic Magnification Potentials.

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It has been reported that two important physiological processes determine whether a

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chemical will bioaccumulate in fish: the uptake of the chemical from the environment, and the

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biotransformation of the chemical into water-soluble metabolites.14, 51 Fish take up chemicals

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through their gills and intestines, and these pathways depend mainly on the lipophilicity of the

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chemicals (log Kow).14, 57 Thus, the relationships between field-derived TMFs, log Kow, and

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in vitro intrinsic clearance values in microsomes from weevers and quail were explored

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(Table 2). As shown in Figure 5a, TMFs increased with log Kow for all target compounds,

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but the correlation between TMFs and log Kow was not statistically significant for the 40

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target chemicals in this study (Figure 5a). Although positive correlations have been reported

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between TMFs and log Kow for some POPs in previous studies,9, 58-60 negative relationships

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or no relationships were observed for dioxins, PAHs, and PEs.11,

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relationships between TMFs and log Kow suggested the existence of other, more important

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factors.

19, 61-63

The different

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The in vitro intrinsic clearance values of each group of chemicals were found to be

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consistent with that group’s trophic transfer behaviors in the aquatic food web (Table 2).

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Chemicals that undergo significant trophic dilution in the aquatic food web (TMF