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      Toxic metals in Loggerhead sea turtles ( Caretta caretta) stranded freshly dead along Sicilian coasts

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          Abstract

          Background

          The Loggerhead sea turtle ( Caretta caretta) is a marine reptile belonging to a monophyletic group of chelonians. As these animals are long-lived, they have the ability to accumulate pollutants.

          Aim

          To collect epidemiological data on toxic metals in marine Loggerhead sea turtles.

          Materials and Methods

          Forty Loggerhead sea turtles comprising 25 males and 15 females stranded freshly dead between 2013 and 2018 along the coasts of Sicily, Southern Italy, were examined for arsenic, cadmium, and lead accumulation in muscle and adipose tissues by means of a validated ICP-MS method. A modified K index as a growth condition factor, namely Fulton’s K index, was used. Samples were tested in duplicate. A Wilcoxon rank sum test was carried out to evaluate metal contents differences between muscle and adipose tissues and between genders.

          Results

          The Fulton’s K index suggested a good body condition of the C. caretta recovered with mean values of 5.34 ± 3.40 ( n = 40; ±SD). Detectable concentrations of lead were found in 70% of the samples analysed with mean values of 0.65 ± 1.67 mg/kg wet weight and 0.51 ± 1.29 mg/kg wet weight in muscle and adipose tissues, respectively. No significant differences in arsenic, cadmium, and lead were detected between genders. In addition, no significant correlation was found between modified K index and concentrations of arsenic, cadmium, and lead.

          Clinical relevance

          Findings on muscle and adipose tissues suggest chronic exposure of Caretta caretta to high concentrations of especially lead which might negatively affect health and welfare of these marine turtles although body condition was good.

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          Most cited references73

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          Estimation of Average Concentration in the Presence of Nondetectable Values

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            Limit of blank, limit of detection and limit of quantitation.

            * Limit of Blank (LoB), Limit of Detection (LoD), and Limit of Quantitation (LoQ) are terms used to describe the smallest concentration of a measurand that can be reliably measured by an analytical procedure. * LoB is the highest apparent analyte concentration expected to be found when replicates of a blank sample containing no analyte are tested. LoB = mean(blank) + 1.645(SD(blank)). * LoD is the lowest analyte concentration likely to be reliably distinguished from the LoB and at which detection is feasible. LoD is determined by utilising both the measured LoB and test replicates of a sample known to contain a low concentration of analyte. * LoD = LoB + 1.645(SD (low concentration sample)). * LoQ is the lowest concentration at which the analyte can not only be reliably detected but at which some predefined goals for bias and imprecision are met. The LoQ may be equivalent to the LoD or it could be at a much higher concentration.
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              Epidemiologic Evaluation of Measurement Data in the Presence of Detection Limits

              Quantitative measurements of environmental factors greatly improve the quality of epidemiologic studies but can pose challenges because of the presence of upper or lower detection limits or interfering compounds, which do not allow for precise measured values. We consider the regression of an environmental measurement (dependent variable) on several covariates (independent variables). Various strategies are commonly employed to impute values for interval-measured data, including assignment of one-half the detection limit to nondetected values or of “fill-in” values randomly selected from an appropriate distribution. On the basis of a limited simulation study, we found that the former approach can be biased unless the percentage of measurements below detection limits is small (5–10%). The fill-in approach generally produces unbiased parameter estimates but may produce biased variance estimates and thereby distort inference when 30% or more of the data are below detection limits. Truncated data methods (e.g., Tobit regression) and multiple imputation offer two unbiased approaches for analyzing measurement data with detection limits. If interest resides solely on regression parameters, then Tobit regression can be used. If individualized values for measurements below detection limits are needed for additional analysis, such as relative risk regression or graphical display, then multiple imputation produces unbiased estimates and nominal confidence intervals unless the proportion of missing data is extreme. We illustrate various approaches using measurements of pesticide residues in carpet dust in control subjects from a case–control study of non-Hodgkin lymphoma.
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                Author and article information

                Journal
                Vet Q
                Vet Q
                The Veterinary Quarterly
                Taylor & Francis
                0165-2176
                1875-5941
                20 January 2023
                2023
                20 January 2023
                : 43
                : 1
                : 1-10
                Affiliations
                [a ]Istituto Zooprofilattico Sperimentale della Sicilia “A. Mirri” , Palermo, Italy
                [b ]Dipartimento di Scienze della Vita, Università degli studi di Modena e Reggio Emilia , Modena, Italy
                [c ]Dipartimento di Scienze Biomediche e Biotecnologiche, Università degli Studi di Catania , Catania, Italy
                Author notes

                Supplemental data for this article can be accessed online at https://doi.org/10.1080/01652176.2023.2169781.

                CONTACT Francesco Giuseppe Galluzzo 282446@ 123456studenti.unimore.it Dipartimento di Scienze della Vita, Università degli studi di Modena e Reggio Emilia , Via Università 4, 41121 Modena, Italy
                Author information
                https://orcid.org/0000-0001-6300-6571
                https://orcid.org/0000-0001-9262-116X
                https://orcid.org/0000-0002-8479-8878
                https://orcid.org/0000-0003-2567-8646
                https://orcid.org/0000-0002-4911-5074
                Article
                2169781
                10.1080/01652176.2023.2169781
                9870007
                36644861
                ef6ce9a1-e8d0-4a80-a2a6-7db860b05538
                © 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                Page count
                Figures: 2, Tables: 3, Pages: 10, Words: 6979
                Categories
                Research Article
                Research Article

                caretta caretta,loggerhead sea turtle,sicily,heavy metals,lead,cadmium,arsenic

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