Associations between organochlorine contaminant concentrations and clinical health parameters in loggerhead sea turtles from North Carolina, USA.

Widespread and persistent organochlorine (OC) contaminants, such as polychlorinated biphenyls (PCBs) and pesticides, are known to have broad-ranging toxicities in wildlife. In this study we investigated, for the first time, their possible health effects on loggerhead sea turtles (Caretta caretta). Nonlethal fat biopsies and blood samples were collected from live turtles for OC contaminant analysis, and concentrations were compared with clinical health assessment data, including hematology, plasma chemistry, and body condition. Concentrations of total PCBs ([summation]PCBs), [summation]DDTs, [summation]chlordanes, dieldrin, and mirex were determined in 44 fat biopsies and 48 blood samples. Blood concentrations of [summation]chlordanes were negatively correlated with red blood cell counts, hemoglobin, and hematocrit, indicative of anemia. Positive correlations were observed between most classes of OC contaminants and white blood cell counts and between mirex and [summation]TCDD-Iike PCB concentrations and the heterophil:lymphocyte ratio, suggesting modulation of the immune system. All classes of OCs in the blood except dieldrin were correlated positively with aspartate aminotransferase (AST) activity, indicating possible hepatocellular damage. Mirex and [summation]TCDD-like PCB blood concentrations were negatively correlated with alkaline phosphatase (ALP) activity. Significant correlations to levels of certain OC contaminant classes also suggested possible alteration of protein ([up arrow] blood urea nitrogen, [down arrow] albumin:globulin ratio), carbohydrate ([down arrow] glucose), and ion ([up arrow] sodium, [down arrow] magnesium) regulation. These correlations suggest that OC contaminants may be affecting the health of loggerhead sea turdes even though sea mrdes accumulate lower concentrations of OCs compared with other wildlife. Key words: health assessment, hematology, organochlorine contaminants, PCBs, persistent organic pollutants, pesticides, plasma chemistries, polychlorinated biphenyls, reptile, white blood cell counts, wildlife. doi: 10.1289/ehp.6923 available via http://dx.doi.org/[Online 21 April 2004]

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It has been well established that organochlorine (OC) compounds, including polychlorinated biphenyls (PCBs) and OC pesticides, bioaccumulate in animal tissues and cause hepatotoxicity, wasting, immunotoxicity, developmental abnormalities, and reproductive toxicity along with endocrine disruption, neurobehavioral effects, and population declines (Fox 2001; Safe 1993). OC compounds have been detected in tissues of threatened and endangered sea turtles [reviewed by Pugh and Becket (2001)], and recently, we measured OC concentrations in the tissues of live, juvenile loggerhead sea turtles (Caretta caretta) from North Carolina (Keller et al. 2004). PCB concentrations in these loggerhead turtles were similar to those of alligators from Florida lakes (Guillette et al. 1999) and of the general human population of North America (Feeley 1995) but were much lower than those found in snapping turtles, Caspian terns, and bottlenose dolphins (de Solla et al. 1998; Grasman and Fox 2001; Lahvis et al. 1995). Although concentrations of organic contaminants have been assessed in sea turtles, health effects from these exposures remain undocumented.

In both the hospital and the veterinary clinic, assessment of clinical health parameters provides a first line of patient health evaluation. Clinical health assessments typically include a physical examination and measurements of hematology and clinical blood chemistry values. Common parameters include total and differential counts of blood cells, activities of plasma enzymes, and concentrations of plasma proteins, glucose, and electrolytes. OC contaminants have been shown to alter hematology and blood chemistry values in laboratory-exposed animals and environmentally exposed humans and wildlife (Grasman et al. 2000b; Lawton et al. 1985; McConnell 1985). For example, in humans, an elevation in blood aspartate aminotransferase (AST) activity is a sensitive indicator of liver damage due to PCB exposure (Feeley 1995). Likewise, incidences of liver necrosis and blood AST activity were both increased in rats and American kestrels exposed to PCBs (Bruckner et al. 1973; Hoffman et al. 1996).

Potential immunotoxicity of OCs has been illustrated by changes in white blood cell (WBC) counts in both laboratory-exposed animals such as mice and seals (de Swart et al. 1995; Segre et al. 2002), as well as environmentally exposed wildlife and humans (Grasman et al. 1996; Lawton et al. 1985). An increase in the heterophil:lymphocyte ratio has also been shown to be an indicator of general stress in chickens (Gross and Seigel 1983) and of disease in sea turtles (Aguirre et al. 1995; Cray et al. 2001; Work et al. 2001). Moreover, increases in this ratio correlate with dioxin toxicity equivalents (TEQs) in juvenile Caspian terns and herring gulls (Grasman et al. 1996, 2000b).

General health assessments have been performed on some select populations of sea turtles (George 1997), and values for WBC counts and clinical chemistry parameters have been reported for loggerhead sea turtles along the East Coast of the United States (Bolten et al. 1992; George 1997; Lutz and Dunbar-Cooper 1987). Seasonal changes have been observed in some parameters, such as osmotic pressure and urea, but other parameters remain relatively constant throughout the year, including glucose and hematocrit (HCT) (Bolten et al. 1992). Moreover, Harms et al. (2002) followed health parameters of injured and sick loggerhead turtles as they recovered in a rehabilitation facility and found that indicators of nutrition increased, including HCT, blood urea nitrogen (BUN), and total protein. Although no studies have assessed the effects of OC contaminants on clinical health parameters in sea turtles, the effects of OC contaminants on hematologic and blood chemistry values have been investigated in one study using snapping turtles from three sites (Albers et al. 1986). Site differences were observed in OC concentrations, but no differences in blood chemistry parameters were seen that would indicate contaminant-induced physiologic impairment.

Although Albers et al. (1986) found no effects in snapping turtles, OC contaminants may affect sea turtles differently because sensitivity to contaminants can vary profoundly from one species to another. For example, the dose that kills 50% of test animals (L[D.sub.50]) of 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD) ranges over four orders of magnitude among six species of mammals commonly used in laboratory experiments (McConnell 1985), and sensitivity differences are expected to be even greater among wildlife species (Smith and Hall 1994). For this reason, it is important to examine the effects of OCs on sea turtles.

Because clinical measurements in other species have been shown to be altered by OC exposure, we hypothesized that they may also be modulated in loggerhead sea turtles. Because these measurements are relatively noninvasive, requiting only a blood sample, they offer a simple, nonlethal method to assess health. If shown to be affected by OC contaminants, these clinical measurements would offer a simple bio-monitoring tool for risk analysis. Furthermore, all species of sea turtles are threatened or endangered, and OC contaminants may have contributed to their past and current population declines. Therefore, this study sought to determine whether associations exist between indicators of health and OC concentrations in the threatened juvenile loggerhead sea turtle.

Materials and Methods

Turtles. Forty-eight live, free-ranging, juvenile loggerhead sea turtles with straight carapace lengths (SCLs) between 46 cm and 77 cm were collected as bycatch from a pound-net fishery located in Core Sound, North Carolina (between the northernmost site, 34[degrees]52.71' N, 76[degrees]18.94' W, and the southernmost site, 34[degrees]49.68' N, 76[degrees]22.95' W) during two summer sampling periods (31 July-11 August 2000, and 13-20 July 2001). Water temperatures during these captures ranged from 24.0[degrees]C to 28.2[degrees]C. Blood samples were collected from all turtles, and biopsies of subcutaneous fat were collected from 44 of the turtles as described elsewhere (Keller et al. 2004). The sex of 42 turtles was determined definitively by laparoscopy. The sex of the remaining 6 turtles was confidently determined by plasma testosterone concentrations (Braun-McNeill et al., in press).

Contaminant analysis. PCB and OC pesticide concentrations and lipid content were previously determined in the whole blood samples and fat biopsies of 44 of the turtles captured in the summers of 2000 and 2001 (Keller et al. 2004). Whole blood samples from an additional 4 turtles captured in July 2001 were analyzed using identical methods, which have been described in detail by Keller et al. (2004). Briefly, blood was extracted by liquid:liquid extraction, and fat samples were extracted using pressurized fluid extraction. Lipids were determined gravimetrically and then removed from the extracts by alumina columns for blood and gel permeation chromatography for fat. Each extract was separated into two fractions using an aminopropylsilane column (fraction 1 contained PCBs, hexachlorobenzene, 4,4'-DDE, 2,4'-DDE, and mirex; fraction 2 contained mainly pesticides). Both fractions of fat extracts and fraction 1 of blood extracts were analyzed on a gas chromatograph with dual microelectron capture detectors. Fraction 2 of blood extracts was analyzed on a gas chromatograph mass spectrometer operating in electron-impact mode and using selected ion monitoring. Total ([summation]) TCDD-like PCB concentrations were calculated by adding the concentrations of four PCB congeners [PCBs 105, 118, 156, and 157; International Union of Pure and Applied Chemistry (IUPAC) numbers] that were measured from the 12 congeners identified by Ahlborg et al. (1994) as having dioxin-like activity.

Health assessment. Turtles were examined for external injuries and obvious signs of illness (i.e., emaciation, lethargy). Body condition was calculated as turtle mass (kilograms) divided by the cubed SCL (centimeters) and multiplied by 100,000 (kilograms per cubic centimeter x 100,000) (Bjorndal et al. 2000). Blood samples for hematology and plasma chemistry were collected in sodium heparin tubes (Monoject, Sherwood Medical, St. Louis, MO; or Vacutainer, Becton, Dickinson and Co., Franklin Lakes, NJ) within 15 min of capture, were kept cool on ice or in a refrigerator, and were processed within 6 hr of blood collection. To maximize consistency, hematology was performed by a single technician familiar with sea turtle hematology, and a single reference laboratory at the College of Veterinary Medicine at North Carolina State University was used for plasma chemistries. Table 1 lists the parameters measured.

Hematology. Hematologic examination was performed on 14 of the 21 turtles captured in the summer of 2000. Natt-Herrick solution and Neubauer counting chambers (American Optical Corp., Buffalo, NY) were used to obtain total WBC counts and red blood cell (RBC) counts on all 14 turtles. At a magnification of 40x, all nine squares of the chamber were counted for WBCs and five small squares of the center large squares were counted for the RBCs. Differential counts were performed on 13 of the turtles using Wright-Geimsa-stained thin blood smears. Heterophils, lymphocytes, monocytes, eosinophils, azurophils, and basophils were differentiated out of 100 cells counted. Estimated total WBC counts were performed using blood smears from 8 of the turtles captured in 2000 and from 20 of the turtles captured in 2001. The total count of leukocytes from 10 fields at a magnification of 40x was divided by 10 and multiplied by 1,700.

HCT and hemoglobin (HGB) concentrations were determined on 14 of the turtles from 2000. HCTs were obtained by measuring packed cell percentage through the use of microhematocrit capillary tubes (Fisherbrand, Houston, TX). Tubes were spun for 5 min in a centrifuge (Clay Adams Readacrit; Becton, Dickinson and Company, Parsippany, NJ). HCTs were read on a Critocaps Micro-Hematocrit Capillary Tube Reader (Oxford Labware, St. Louis, MO). HGB was measured by colorimetric analysis with the use of hemolysis sticks and a BMS handheld hemoglobinometer (Omron Healthcate Inc., Vernon Hills, IL).

Plasma chemistry. Plasma chemistry values were determined for 14 of the 21 turtles captured in 2000 and 26 of the 27 turtles captured in 2001. Plasma was stored at -70[degrees]C or colder until analysis was completed within 10 days. We used automated bichromatic spectrophotometry (Roche/Hitachi 912 Clinical Chemistry System, Roche Diagnostics, Indianapolis, IN) to measure glucose, total protein, albumin, BUN, uric acid, AST, lactate dehydrogenase (LDH), creatine phosphokinase (CPK), calcium, phosphorus, magnesium, creatinine, bilirubin, alkaline phosphatase (ALP), and [gamma]-glutamyl transferase (GGT). An ion-selective electrode on the Roche/Hitachi 912 analyzer measured sodium, potassium, and chloride. Globulin concentrations were determined by subtracting albumin from total protein.

Statistics. The OC concentrations were not normally distributed even after log transformation; therefore we used nonparametric tests (Systat 8.0 software; SPSS, Inc., Chicago, IL). Each health assessment parameter was compared with lipid-normalized contaminant concentrations using the Spearman rank correlation test.

Results

All but one turtle captured in the summers of 2000 and 2001 appeared healthy upon initial external exam. This debilitated turtle (turtle 1328) was extremely emaciated and lethargic. Its neck, shoulder, and inguinal regions showed profound signs of emaciation. All turtles, except for turtle 1328, were active and swimming normally. Only minor and common external wounds, such as bruising and scute erosions, were observed, with the exception of one animal that had a major puncture wound to the throat. One apparently healthy turtle died after the laparoscopic procedure, and subsequent histopathologic examination showed extensive parasitic spirorchid trematode egg mass granulomas in its brain, thyroid, and adrenals.

The morphometric and health assessment data are presented in Table 1. The mean values obtained in the present study were very similar to means or medians previously reported for loggerhead turtles along the southeast coast of the United States (Table 1). These comparisons suggest that the health parameters of these free-ranging loggerhead turtles from North Carolina are generally within ranges typically observed.

Contaminant concentrations detected in the blood samples and fat biopsies from the 44 turtles have been reported elsewhere on a lipid basis (Keller et al. 2004). In that study, the concentrations in the two tissues were significantly correlated with each other, and no differences were observed between males and females. The concentrations on a wet mass basis are shown in Table 2 for [summation]chlordanes, dieldrin, mirex, [summation]DDTs, [summation]PCBs, [summation]TCDD-like PCBs, and [summation]OCs in the 44 fat biopsies and 48 blood samples. Almost all of the contaminants measured in the turtle tissues were intercorrelated. For example, adipose concentrations of [summation]PCBs were significantly correlated with adipose concentrations of [summation]DDTs [Spearman rank correlation coefficient ([r.sub.s]) = 0.679], with oxychlordane ([r.sub.s] = 0.720), and with mirex ([r.sub.s] = 0.710) concentrations (all p-values < 0.05). These intercorrelations of complex mixtures make it difficult to discern which compound may be responsible for possible health effects.

We observed several significant correlations between contaminant concentrations and indicators of poor or altered health. The Spearman rank correlation coefficients are presented for only those health indicators that significantly correlated with concentrations of at least one contaminant dass (Table 3). No contaminant concentration was correlated with total WBCs counted by the Natt-Herrick method, possibly due to the small sample size (n = 14). However, all of the major groups of contaminants, including Zchlordanes, mirex, [summation]DDTs, Y, PCBs, [summation]TCDD-like PCBs, and [summation]OCs, were correlated with the total WBC counts that were estimated by blood smears (Figure 1A). Increasing blood concentrations of [summation]chlordanes and mirex were significantly correlated with fewer lymphocytes. [summation]DDTs and [summation]OCs in both blood and adipose and [summation]PCBs in adipose positively correlated with eosinophils. Increasing adipose concentrations of mirex and [summation]TCDD-Iike PCBs correlated with an elevation in the heterophil:lymphocyte ratio (Figure 1B). Blood concentrations of certain OC pesticides and [summation]TCDD-like PCBs were negatively correlated with RBC counts, HCT, and HGB.

[FIGURE 1 OMITTED]

Indicators of nutritional status and homeostasis of proteins and glucose were significantly correlated with certain contaminants (Table 3). Body condition was negatively correlated with dieldrin in the blood. Glucose concentrations were negatively correlated with adipose concentrations of dieldrin and [summation]DDTs. The ratio of albumin to globulin was negatively correlated with concentrations of [summation]chlordanes in blood and adipose and [summation]TCDD-like PCBs in blood. BUN concentrations were positively correlated with concentrations of most OC classes measured in blood (Figure 1C).

Activities of three enzymes correlated with OC concentrations (Table 3). AST activity was positively correlated with most of the OC compounds in the blood and adipose (Figure 1D). ALP activity was negatively correlated with mirex concentrations in blood and adipose and with [summation]TCDD-Iike PCBs in blood. GGT activity was negatively correlated with blood concentrations of dieldrin.

We noted few significant correlations between electrolyte levels and contaminant concentrations (Table 3). However, sodium concentrations were positively correlated with blood concentrations of mirex and [summation]TCDD-like PCBs. Magnesium concentrations were negatively correlated with ZDDT, ZPCB, [summation]TCDD-like PCBs, and [summation]OC concentrations in the blood.

Discussion

In this study we sought to determine whether associations exist between OC concentrations and noninvasive indicators of health in loggerhead sea turtles. Several significant correlations were in fact observed. Preliminary data from an ongoing and parallel study corroborate these findings (Peden-Adams et al. 2002): in juvenile loggerhead sea turtles captured in offshore waters of South Carolina, Georgia, and Florida, significant correlations were observed between [summation]PCB concentrations and increased BUN concentrations and a decreased albumin:globulin ratio. Similar correlations were seen in the present study, although not necessarily with [summation]PCB concentrations.

The correlations observed in the present study are supported by a large number of previous field studies as well as experimental laboratory studies in a variety of species. For example, in loggerhead turtles, we observed positive correlations between OC concentrations and WBC counts, as well as the ratio of heterophils to lymphocytes. It has been well established that OCs affect immune cells and immune function in laboratory-exposed animals (Bruckner et al. 1973; Hoffman et al. 1996; Segre et al. 2002; Smits et al. 2002). Furthermore, associations have been documented between OC concentrations, such as TEQs, [summation]PCBs, and DDE, and an elevation in the heterophil:lymphocyte ratio in juvenile herring gulls (Grasman et al. 2000b) and Caspian terns from the Great Lakes (Grasman et al. 1996). Male American kestrels experimentally exposed to PCBs exhibited increased WBC counts (Smits et al. 2002). The findings from these previous studies are similar to the correlations observed in the loggerhead sea turtles. Additional evidence of immune modulation is provided by significant positive correlations between mitogen-induced lymphocyte proliferation responses and OC concentrations in these same loggerhead turtles (Keller et al. 2002). Therefore, it seems rational that the correlations we observed in the present study may indicate modulation of the loggerhead immune system by OC contaminants.

Indicators of anemia, such as decreased RBC counts, HCT, and HGB concentrations, correlated with dieldrin and [summation]chlordanes measured in the loggerhead blood. Previous studies have shown that OC contaminants can decrease these parameters. For example, rats and monkeys exposed to PCBs exhibited decreased RBC counts, HGB, and HCT (Arnold et al. 1993; Bruckner et al. 1973; Chu et al. 1994). Blood concentrations of PCBs in capacitor workers correlated with decreased RBC counts (Lawton et al. 1985). Likewise, TEQs and DDE concentrations in adult herring gulls from the Great Lakes were also negatively correlated with HCT (Grasman et al. 2000b). These findings suggest that OC contaminants may lead to anemia in sea turtles.

The kidneys are a well-known target for the toxic effects of PCBs, and several blood chemistry parameters, such as BUN and electrolytes, can indicate kidney dysfunction (McConnell 1985). Increased BUN concentrations, at least in mammals, suggest that the kidneys are not properly removing this nitrogenous waste product from the blood. Increased BUN concentrations have been observed in capacitor workers (Lawton et al. 1985) and cynomolgus monkeys exposed to Aroclor 1254 (Arnold et al. 1990). In turtles, however, BUN is a poor indicator of renal disease (Campbell 1996) and probably better represents nutritional status and protein metabolism. For example, BUN concentrations increased from a median of 50 mg/dL to 122 mg/dL during rehabilitation of injured or iii loggerhead sea turtles (Harms et al. 2002). The positive correlation between BUN and blood OC concentrations in the loggerhead turtles may suggest that turtles with higher BUN concentrations have been feeding recently and may have higher levels of certain blood lipids that can transport lipophilic contaminants. The fact that BUN was correlated strongly with OCs in blood rather than in adipose tissue further supports this conclusion. Future studies are needed to investigate the relationships between BUN, protein metabolism, blood lipids, and OC contaminants in sea turtles.

The kidney is also responsible for ion regulation. Correlations were seen in the study between OC contaminants and increased Na and decreased Mg concentrations. In fish, chlordane exposure has been shown to increase Na and Mg concentrations (Bansel et al. 1979). Capacitor workers exposed to PCBs similarly exhibited blood osmolality values above the normal range (Lawton et al. 1985). Electrolyte balance in sea turtles is regulated not only by the kidney but also by the salt gland. The loggerhead salt gland concentrates Na 8-fold and Mg 45-fold above the concentrations in plasma and excretes the resulting fluid through ducts near the eye (Vargo et al. 1986). If the kidneys or the salt glands of sea turtles are sensitive to OCs, as has been shown in kidneys of other species (McConnell 1985), then these correlations could suggest that OCs are affecting these organs, thereby altering ion regulation in sea turtles.

The concentration of blood glucose is clearly related to nutritional status in loggerhead sea turtles (Lutcavage et al. 1995). Plasma glucose is tightly regulated by the liver and its complex interactions with, the hypothalamus, pituitary, and adrenal glands. It is therefore possible that OCs may interfere with glucose regulation at multiple control points. In the present study, we observed negative correlations between glucose and adipose concentrations of dieldrin and [summation]DDTs in the loggerhead turtles. OC exposure has resulted in decreased glucose concentrations in other vertebrate species, including PCB and mirex exposure in rats (Boll et al. 1998; Chu et al. 1994; Rogers et al. 1984) and chlordane exposure in mice (Khasawinah and Grutsch 1989), suggesting that OCs may be affecting glucose regulation in loggerhead turtles.

OC contaminants are also known to alter the activity of metabolic enzymes in the liver, such as phosphoenolpyruvate carboxykinase and malic enzyme, that are responsible for protein, glucose, and lipid regulation (Boll et al. 1998; Lorenzen et al. 1999), thereby altering blood concentrations of protein and glucose (McConnell 1985). In the present study, turtles with higher concentrations of OCs exhibited a decreased ratio of albumin to globulin. This response was previously observed in fish exposed to Atoclor 1254 (Camp et al. 1974). In addition, changes in these protein classes were correlated with PCB and DDE concentrations in Caspian tern and herring gull chicks from the Great Lakes (Grasman et al. 2000a).

Blood enzyme activities are useful as early warning monitors of subacute effects of contaminants on particular organs in birds and mammals (Arnold et al. 1990; Dieter et al. 1976; Fedey 1995). In the present study, AST activity was elevated and ALP activity was decreased in the loggerhead sea turtles with higher concentrations of certain OCs. Increased AST is commonly used as an indicator of hepatocellular damage in birds and mammals exposed to OCs (Arnold et al. 1990; Bruckner et al. 1973; Dieter et al. 1976; Fedey 1995). In fact, American kestrels exhibited an increase in AST activity and a decrease in ALP activity after PCB exposure (Hoffman et al. 1996), a response consistent with the correlations seen in the present study in loggerhead turtles.

It is difficult to interpret the observed correlations between OC levels and plasma enzyme activities because no previous study has determined the distribution of these enzymes among organs of sea turtles. In reptiles, the distribution of these enzymes has been assessed only in two species, the yellow rat snake (Ramsay and Dotson 1995) and the green iguana (Wagner and Wetzel 1999). AST was a major enzyme found in the snake liver, but it was also found at high concentrations in the kidney and heart. Moderate AST activity was found in all tissues examined in the iguana; therefore, the authors concluded that an increase in blood AST would not reflect damage to a specific tissue in this species (Wagner and Wetzel 1999). Based on the preponderance of experimental evidence showing that OCs produce liver damage and subsequently increase plasma AST in mammals and birds, it is plausible that the strong correlations between AST and OCs are indicative of hepatocellular damage in sea turtles. This interpretation is further supported by the lack of correlations between OC concentrations and CPK activity, an enzyme of presumed muscular origin. Hepatocellular damage is expected to result in an increase in AST but not in CPK activity (Campbell 1996). Yet, future studies should examine the distribution of these enzymes among organs of sea turtles before this interpretation could be considered conclusive.

The associations observed between OC concentrations and indicators of health in the loggerhead turtles suggest that their health is affected by these contaminants. However, it is important to note that most of the measured health indicators, even in turtles with the highest exposure, did not fall outside ranges reported previously for this species (Table 1). From this, one might conclude that the correlations are not predictive of an overt adverse effect. However, the ranges reported by past studies have examined free-ranging turtles from similar locations that had undoubtedly been exposed to ubiquitous OC contaminants. In order to define the true reference ranges for health indicators, a control population free from contaminant exposure would have to be assessed. Additionally, it is possible that adverse health effects in an individual animal could occur even when its health indicators fall within the population reference range. Sea turtle physiology may be adapted to maintain homeostasis, so measurable health indicators may not change appreciably even with poor health. Moreover, multiple minor alterations could result in cumulative health impacts. The fact that significant correlations were noted even though sea turtles have OC concentrations much lower than those found in other wildlife suggests that sea turtles may be more sensitive to the health impacts of these contaminants than previously thought.

Conclusion

This study provides the first evidence, although strictly correlative, that OC contaminants may be affecting sea turtle health. Although the concentrations of OCs are relatively low compared with other species, we observed significant correlations between OC levels and health indicators for a wide variety of biologic functions, including immunity and homeostasis of proteins, carbohydrates, and ions. Studies using experimentally and environmentally exposed animals support these correlative findings, but further studies are required to determine the precise causal relationships between OC contaminants and health effects in sea turtles. Additional populations, such as those exposed to higher levels of OCs, and more sensitive life stages (i.e., embryo) should also be investigated because they may face a greater risk than juvenile turtles foraging in North Carolina waters.

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Jennifer M. Keller, (1,2) John R. Kucklick, (2) M. Andrew Stamper, (3) * Craig A. Harms, (4) and Patricia D. McClellan-Green (1,5)

(1) Duke University, Integrated Toxicology Program and Nicholas School of the Environment Coastal Systems Science and Policy, Beaufort, North Carolina, USA; (2) National Institute of Standards and Technology, Hollings Marine Laboratory, Charleston, South Carolina, USA; (3) New England Aquarium, Boston, Massachusetts, USA; (4) North Carolina State University, College of Veterinary Medicine, Center for Marine Sciences and Technology, Morehead City, North Carolina, USA; (5) North Carolina State University, Department of Environmental and Molecular Toxicology, Raleigh, North Carolina, USA

Address correspondence to J.M. Keller, National Institute of Standards and Technology, Hollings Marine Laboratory, 331 Fort Johnson Rd., Charleston, SC 29412 USA. Telephone: [phone]. Fax: [phone]. E-mail: [e-mail]

* Current address: Disney's Epcot The Living Seas, Lake Buena Vista, Florida, USA.

We thank S. Epperly, J. McNeill, L. Avens, C. Purnell, J. Beasley, A. Segars, B. Chittick, P. Govett, S. Willens, A. Acton, D. Deresienski, M. Schantz, P. Becker, K. Tuerk, S. Vander Pol, R. Pugh, D. Owens, M. Lee, and M. Peden-Adams for their generous help.

Funding was provided by the Morris Animal Foundation, the Disney Wildlife Conservation Fund, the Oak Foundation, and the Duke University Marine Biomedical Center.

Certain commercial equipment or instruments are identified in the paper to specify adequately the experimental procedures. Such identification does not imply recommendations or endorsement by the NIST nor does it imply that the equipment or instruments are the best available for the purpose.

The authors declare they have no competing financial interests.

Received 19 December 2003; accepted 21 April 2004.

Table 1. Morphometrics, hematology, and plasma chemistries for juvenile
loggerhead sea turtles captured in the summers of 2000 and 2001 from
Core Sound, North Carolina.

Parameter                              No.          Mean [+ or -] SD

General
  SCL (cm)                             48          62.0 [+ or -] 7.0
  Weight (kg)                          45          35.3 [+ or -] 10.4
  Body condition                       45          14.8 [+ or -] 1.5
  Sex ratio (F:M)                      48                34:14
Hematology
  RBCs ([10.sup.6]/[micro]L)           14         0.410 [+ or -] 0.098
  HGB (g/dL)                           14          9.82 [+ or -] 1.46
  HCT (%)                              14          31.5 [+ or -] 4.3
  Total WBCs (b)                       14          14.8 [+ or -] 4.0
  Estimated WBCs ([10.sup.3]/
    [micro]L) (b)                      28          13.3 [+ or -] 5.3
  Heterophils (b)                      13           4.3 [+ or -] 2.5
  Lymphocytes (b)                      13           9.5 [+ or -] 2.5
  Monocytes (b)                        13                  ND
  Eosinophils (b)                      13           1.1 [+ or -] 0.9
  Azurophils (b)                       13           0.8 [+ or -] 0.4
  Basophils (b)                        13          0.03 [+ or -] 0.11
  Heterophils:Lymphocytes (b)          13           0.5 [+ or -] 0.4
Carbohydrate and protein homeostasis
  Glucose (mg/dL)                      40           109 [+ or -] 18
  Protein (g/dL)                       40           4.0 [+ or -] 0.8
  Albumin (g/dL)                       40           1.1 [+ or -] 0.2
  Globulin (g/dL)                      40           2.9 [+ or -] 0.7
  Albumin globulin                     40          0.40 [+ or -] 0.08
  BUN (mg/dL)                          40           101 [+ or -] 40
  Uric acid (mg/dL)                    40           0.8 [+ or -] 0.7
  Creatinine (mg/dL)                   40                < 0.1
  Bilirubin (mg/dL)                    40                < 0.1
Enzymes
  AST (U/L)                            40           229 [+ or -] 59
  ALP (U/L)                            40            23 [+ or -] 14
  LDH (U/L)                            40           182 [+ or -] 102
  CPK (U/L)                            26         1,243 [+ or -] 1,167
  GGT (U/L)                            40                 < 3
Ions
  Calcium (mg/dL)                      40           8.4 [+ or -] 1.2
  Phosphorous (mg/dL)                  40           7.0 [+ or -] 1.0
  Calcium: phosphorous                 40           1.2 [+ or -] 0.2
  Sodium (mmol/L)                      40           158 [+ or -] 2
  Potassium (mmol/L)                   40           4.5 [+ or -] 0.5
  Sodium: potassium                    40          35.6 [+ or -] 3.7
  Chloride (mmol/L)                    40           117 [+ or -] 4
  Magnesium (mg/dL)                    40           5.3 [+ or -] 0.7
  Anion gap                            40          16.1 [+ or -] 5.5

                                                       Measurements
                                                       from previous
Parameter                                 Range         studies (a)

General
  SCL (cm)                              45.7-77.3
  Weight (kg)                           14.4-56.6
  Body condition                        11.4-20.9
  Sex ratio (F:M)
Hematology
  RBCs ([10.sup.6]/[micro]L)           0.275-0.615
  HGB (g/dL)                               7-12
  HCT (%)                                 23-38       Range, 29-35.5
  Total WBCs (b)                        5.8-20.72
  Estimated WBCs ([10.sup.3]/
    [micro]L) (b)                      7.0-25.5 (c)   Range, 11.0-11.2
  Heterophils (b)                        1.3-8.2      Median, 4.780
  Lymphocytes (b)                        4.6-15.0     Median, 5.175
  Monocytes (b)                             ND        Median, 0.390
  Eosinophils (b)                        0.14-2.7
  Azurophils (b)                         0.17-1.5
  Basophils (b)                           0-0.38
  Heterophils:Lymphocytes (b)            0.1-1.4
Carbohydrate and protein homeostasis
  Glucose (mg/dL)                         76-143      Range, 79.6-107
  Protein (g/dL)                         2.4-5.9      Range, 3-4.5
  Albumin (g/dL)                        < 1.0-1.5     Range, 0.6-1.8
  Globulin (g/dL)                        1.5-4.5      Range, 2.8-3.2
  Albumin globulin                      0.23-0.60
  BUN (mg/dL)                             25-197      Range, 49-122
  Uric acid (mg/dL)                      0.3-3.4      Range, 0.7-2.1
  Creatinine (mg/dL)                    < 0.1-0.1     Mean, 0.2
  Bilirubin (mg/dL)                     < 0.1-0.2     Mean, 0.04
Enzymes
  AST (U/L)                              128-355      Range, 178-285
  ALP (U/L)                                9-74       Range, 14-53
  LDH (U/L)                               60-465      Range, 128-310
  CPK (U/L)                             281-5,667     Range, 853-1,680
  GGT (U/L)                               < 3-4
Ions
  Calcium (mg/dL)                        5.5-11.4     Range, 1.08-7.7
  Phosphorous (mg/dL)                    5.2-9.1      Range, 5.9-8.6
  Calcium: phosphorous                   0.7-2.0      Median, 0.76
  Sodium (mmol/L)                        154-164      Range, 143.1-162
  Potassium (mmol/L)                     3.1-5.6      Range, 3.6-5.8
  Sodium: potassium                      28.2-50
  Chloride (mmol/L)                      110-125      Range, 112-117.6
  Magnesium (mg/dL)                      3.9-6.7      Range, 2.38-4.0
  Anion gap                              6.2-30.2

Abbreviations: ALP, alkaline phosphatase; CPK, creatine phosphokinase;
F, female; GGT, gamma glutamyl transferase; HGB, hemoglobin; LDH,
lactate dehydrogenase; M, male; ND, none detected; RBCs, red blood
cells.

(a) Range of means or medians compiled from Bolten et al. (1992; Na
heparin data only from autoanalyzer A); George (1997); Harms et al.
(2002; medians from turtles that had been in rehabilitation; these
data do not include the initial values upon admission); Lutz and
Dunbar-Cooper (1987; turtles captured in July 1980 only); and A. Segars
et al. (unpublished data). (b) Total WBC counts in year 2000 were
performed using Natt-Herrick solution; estimated WBC and differential
counts were performed using blood smears (units = [10.sup.3]/[micro]L
blood). (c) Two turtles were not included in the range because their
WBC counts were undetectable; either the counts were too low or
the blood smears were too difficult to read.

Table 2. Concentrations on a wet mass basis of OC contaminants in
44 fat biopsies and 48 blood samples from juvenile loggerhead sea
turtles captured in the summers of 2000 and 2001 from Core Sound,
North Carolina.

                                    Adipose (ng/g wet mass)

Contaminant                      Mean [+ or -] SD        Range

[summation]Chlordanes           26.9 [+ or -] 21.3    < LOD-87.8
Dieldrin                        4.89 [+ or -] 4.06    < LOD-16.7
Mirex                           4.41 [+ or -] 4.17    < LOD-18.8
[summation]DDTs                 67.0 [+ or -] 68.7    < LOD-287
[summation]PCBs                  256 [+ or -] 269      7.99-1,360
[summation]TCDD-like PCBs       29.4 [+ or -] 30.6     1.32-169
[summation]Ocs                   366 [+ or -] 353      9.38-1,680

                                 Blood sample (pg/g wet mass)

Contaminant                      Mean [+ or -] SD        Range

[summation]Chlordanes            225 [+ or -] 201      < LOD-988
Dieldrin                        60.8 [+ or -] 141      < LOD-952
Mirex                           44.5 [+ or -] 70.8     < LOD-296
[summation]DDTs                  649 [+ or -] 685      < LOD-3,800
[summation]PCBs                5,560 [+ or -] 5,280      121-23,900
[summation]TCDD-like PCBs        395 [+ or -] 426      < LOD-2,010
[summation]Ocs                 6,550 [+ or -] 6,140      168-29.100

LOD, limit of detection (1 ng/g wet mass for adipose; 10 pg/g wet mass
for blood). [summation]Chlordanes, sum of cis- and trans-chlordane,
cis- and trans-nonachlor, and oxychlordane; [summation]DDTs, sum of
4,4'-DDE, 4,4'-DDD, and 2,4'-DDT. [summation]PCBs, sum of PCB
congeners 8, 18, 28, 49, 52, 56, 63, 66, 70 and 76, 74, 87 and 81, 92,
95, 99, 101 and 90, 104, 105, 107, 110, 118, 128, 138, 146, 149, 151
and 82, 153, 154, 156, 157, 158, 163, 170, 174, 180, 183, 187, 193,
194, 195, 201, 206, and 209 (IUPAC numbers); [summation]TCDD-like
PCBs, sum of four PCB congeners (105, 118, 156, and 157) that were
measured in this study and that were classified by Ahlborg et al.
(1994) in a group of 12 congeners as having dioxin-like activity;
[summation]OCs, sum of all classes of OC contaminants.

Table 3. Spearman rank correlation coefficients between OC
concentrations and health assessment data in juvenile loggerhead sea
turtles captured in the summers of 2000 and 2001 from Core Sound,
North Carolina.

                       Sample size         [summation]Chlordanes

                       A          B           A          B

Estimated WBC          25         28        0.546 *     0.403 *
Lymphocytes            13         13       -0.214      -0.577 *
Eosinophils            13         13        0.308       0.511
Azurophils             13         13        0.374       0.192
H:L ratio              13         13        0.421       0.269
RBC                    14         14       -0.262      -0.611 *
Hematocrit             14         14       -0.348      -0.706 *
Hemoglobin             14         14       -0.317      -0.760 *
Body condition         44         45       -0.084      -0.244
Glucose                36         39       -0.277      -0.202
Albumin                37         40       -0.365 *    -0.210
Albumin:globulin       37         40       -0.332 *    -0.339 *
BUN                    37         40        0.092       0.338 *
AST                    37         40        0.580 *     0.604 *
ALP                    37         40       -0.325      -0.291
GGT                    37         40       -0.019       0.086
Sodium                 37         40        0.241       0.296
Magnesium              37         40       -0.022      -0.251

                          Dieldrin               Mirex

                       A          B           A          B

Estimated WBC         0.342      0.047      0.472 *     0.397 *
Lymphocytes          -0.148     -0.192     -0.379      -0.588 *
Eosinophils           0.423      0.088      0.247       0.324
Azurophils            0.286      0.582 *    0.390      -0.121
H:L ratio             0.269      0.382      0.606 *     0.112
RBC                  -0.027     -0.529     -0.289      -0.464
Hematocrit           -0.192     -0.577 *   -0.387      -0.412
Hemoglobin           -0.210     -0.630 *   -0.373      -0.427
Body condition       -0.066     -0.310 *   -0.151      -0.114
Glucose              -0.352 *   -0.304     -0.246      -0.092
Albumin              -0.208     -0.097     -0.313      -0.315 *
Albumin:globulin     -0.179     -0.170     -0.280      -0.268
BUN                   0.091      0.055      0.073       0.242
AST                   0.349 *    0.087      0.477 *     0.613 *
ALP                  -0.157      0.118     -0.369 *    -0.435 *
GGT                  -0.067     -0.341 *    0.142       0.082
Sodium                0.138      0.130      0.183       0.323 *
Magnesium            -0.096     -0.248     -0.125      -0.311

                      [summation]DDTs       [summation]PCBs

                        A          B-         A           B

Estimated WBC         0.450 *    0.411 *    0.551 *     0.418 *
Lymphocytes          -0.088     -0.237     -0.231      -0.418
Eosinophils           0.626 *    0.707 *    0.599 *     0.397
Azurophils           -0.104      0.138     -0.110      -0.207
H:L ratio             0.443      0.160      0.511       0.250
RBC                  -0.039     -0.165     -0.002      -0.484
Hematocrit            0.014     -0.027     -0.049      -0.332
Hemoglobin           -0.125     -0.113     -0.177      -0.434
Body condition       -0.025     -0.040     -0.049      -0.077
Glucose              -0.475 *   -0.246     -0.294      -0.161
Albumin              -0.207     -0.183     -0.269      -0.064
Albumin:globulin     -0.071     -0.182     -0.217      -0.296
BUN                   0.229      0.463 *    0.118       0.377 *
AST                   0.261      0.456 *    0.399 *     0.592 *
ALP                  -0.059     -0.158     -0.296      -0.287
GGT                  -0.216      0.090     -0.086       0.023
Sodium                0.123      0.201      0.132       0.294
Magnesium            -0.257     -0.344 *   -0.230      -0.476 *

                      [summation]
                     TCDD-like PCBs          [summation]OCs

                       A          B          A           B

Estimated WBC         0.548      0.514      0.555 *     0.453 *
Lymphocytes          -0.302     -0.538     -0.181      -0.451
Eosinophils           0.527      0.473      0.610 *     0.599 *
Azurophils            0.082     -0.066     -0.110      -0.269
H:L ratio             0.615 *    0.225      0.478       0.220
RBC                  -0.158     -0.594 *    0.004      -0.491
Hematocrit           -0.181     -0.374     -0.046      -0.321
Hemoglobin           -0.286     -0.421     -0.188      -0.451
Body condition       -0.105     -0.101     -0.072      -0.093
Glucose              -0.281     -0.145     -0.318      -0.177
Albumin              -0.283     -0.152     -0.295      -0.115
Albumin:globulin     -0.318     -0.370 *   -0.204      -0.290
BUN                   0.100      0.387 *    0.145       0.409 *
AST                   0.438 *    0.597 *    0.398 *     0.581
ALP                  -0.318     -0.342 *   -0.279      -0.297
GGT                  -0.031      0.104     -0.103       0.021
Sodium                0.142      0.348 *    0.135       0.287
Magnesium            -0.176     -0.398 *   -0.224      -0.445

Abbreviations: A, adipose; B, blood; H:L, heterophil:lymphocyte.
[summation]Chlordanes, sum of cis- and trans-chlordane, cis- and
trans-nonachlor, and oxychlordane; [summation]DDTs, sum of 4,4'-DDE,
4,4'-DDD, and 2,4'-DDT; [summation]PCBs, sum of PCB congeners 8, 18,
28, 49, 52, 56, 63, 66, 70 and 76, 74, 87 and 81, 92, 95, 99, 101 and
90, 104, 105, 107, 110, 118, 128, 138, 146, 149, 151 and 82, 153, 154,
156, 157, 158, 163, 170, 174, 180, 183, 187, 193, 194, 195, 201, 206,
and 209 (IUPAC numbers); [summation]TCDD-like PCBs, sum of four PCB
congeners (105, 118, 156, and 157) that were measured in this study and
that were classified by Ahlborg et al. (1994) in a group of 12
congeners as having dioxin-like activity; [summation]EOCs, sum of
all classes of OC contaminants.

* Significant correlation; p < 0.05.