1
|
Ribasés M, Mitjans M, Hartman CA, Soler Artigas M, Demontis D, Larsson H, Ramos-Quiroga JA, Kuntsi J, Faraone SV, Børglum AD, Reif A, Franke B, Cormand B. Genetic architecture of ADHD and overlap with other psychiatric disorders and cognition-related phenotypes. Neurosci Biobehav Rev 2023; 153:105313. [PMID: 37451654 PMCID: PMC10789879 DOI: 10.1016/j.neubiorev.2023.105313] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Revised: 06/30/2023] [Accepted: 07/08/2023] [Indexed: 07/18/2023]
Abstract
Attention-deficit/hyperactivity disorder (ADHD) co-occurs with many other psychiatric disorders and traits. In this review, we summarize and interpret the existing literature on the genetic architecture of these comorbidities based on hypothesis-generating approaches. Quantitative genetic studies indicate that genetic factors play a substantial role in the observed co-occurrence of ADHD with many different disorders and traits. Molecular genetic correlations derived from genome-wide association studies and results of studies based on polygenic risk scores confirm the general pattern but provide effect estimates that are smaller than those from twin studies. The identification of the specific genetic variants and biological pathways underlying co-occurrence using genome-wide approaches is still in its infancy. The first analyses of causal inference using genetic data support causal relationships between ADHD and comorbid disorders, although bidirectional effects identified in some instances point to complex relationships. While several issues in the methodology and inferences from the results are still to be overcome, this review shows that the co-occurrence of ADHD with many psychiatric disorders and traits is genetically interpretable.
Collapse
Affiliation(s)
- M Ribasés
- Department of Mental Health, Hospital Universitari Vall d'Hebron, Barcelona, Spain; Psychiatric Genetics Unit, Group of Psychiatry, Mental Health and Addiction, Vall d'Hebron Research Institute (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain; Biomedical Network Research Centre on Mental Health (CIBERSAM), Barcelona, Spain; Department of Genetics, Microbiology, and Statistics, Faculty of Biology, Universitat de Barcelona, Barcelona, Spain
| | - M Mitjans
- Biomedical Network Research Centre on Mental Health (CIBERSAM), Barcelona, Spain; Department of Genetics, Microbiology, and Statistics, Faculty of Biology, Universitat de Barcelona, Barcelona, Spain; Institut de Biomedicina de la Universitat de Barcelona (IBUB), Barcelona, Catalonia, Spain; Institut de Recerca Sant Joan de Déu (IRSJD), Esplugues de Llobregat, Catalonia, Spain
| | - C A Hartman
- Department of Psychiatry, Interdisciplinary Center Psychopathology and Emotion regulation (ICPE), University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - M Soler Artigas
- Department of Mental Health, Hospital Universitari Vall d'Hebron, Barcelona, Spain; Psychiatric Genetics Unit, Group of Psychiatry, Mental Health and Addiction, Vall d'Hebron Research Institute (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain; Biomedical Network Research Centre on Mental Health (CIBERSAM), Barcelona, Spain; Department of Genetics, Microbiology, and Statistics, Faculty of Biology, Universitat de Barcelona, Barcelona, Spain
| | - D Demontis
- Department of Biomedicine/Human Genetics, Aarhus University, Aarhus, Denmark; The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Denmark; Center for Genomics and Personalized Medicine, Aarhus, Denmark; The Novo Nordisk Foundation Center for Genomic Mechanisms of Disease, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - H Larsson
- School of Medical Sciences, Örebro University, Örebro, Sweden; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - J A Ramos-Quiroga
- Department of Mental Health, Hospital Universitari Vall d'Hebron, Barcelona, Spain; Psychiatric Genetics Unit, Group of Psychiatry, Mental Health and Addiction, Vall d'Hebron Research Institute (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain; Biomedical Network Research Centre on Mental Health (CIBERSAM), Barcelona, Spain; Department of Psychiatry and Forensic Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - J Kuntsi
- Social, Genetic and Developmental Psychiatry Centre; Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | - S V Faraone
- Departments of Psychiatry and of Neuroscience and Physiology, Norton College of Medicine, SUNY Upstate Medical University, Syracuse, NY, USA
| | - A D Børglum
- Department of Biomedicine/Human Genetics, Aarhus University, Aarhus, Denmark; The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Denmark; Center for Genomics and Personalized Medicine, Aarhus, Denmark
| | - A Reif
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt, Goethe University, Frankfurt am Main, Germany
| | - B Franke
- Departments of Cognitive Neuroscience and Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands.
| | - B Cormand
- Department of Genetics, Microbiology, and Statistics, Faculty of Biology, Universitat de Barcelona, Barcelona, Spain; Institut de Biomedicina de la Universitat de Barcelona (IBUB), Barcelona, Catalonia, Spain; Institut de Recerca Sant Joan de Déu (IRSJD), Esplugues de Llobregat, Catalonia, Spain; Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBER-ER), Instituto de Salud Carlos III, Madrid, Spain.
| |
Collapse
|
2
|
Hartman CA, Ackerman JT, Peterson SH, Fettig B, Casazza M, Herzog MP. Nest attendance, incubation constancy, and onset of incubation in dabbling ducks. PLoS One 2023; 18:e0286151. [PMID: 37205693 DOI: 10.1371/journal.pone.0286151] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Accepted: 05/10/2023] [Indexed: 05/21/2023] Open
Abstract
In birds, parents must provide their eggs with a safe thermal environment suitable for embryonic development. Species with uniparental incubation must balance time spent incubating eggs with time spent away from the nest to satisfy self-maintenance needs. Patterns of nest attendance, therefore, influence embryonic development and the time it takes for eggs to hatch. We studied nest attendance (time on the nest), incubation constancy (time nests were at incubation temperatures), and variation in nest temperature of 1,414 dabbling duck nests of three species in northern California. Daily nest attendance increased from only 1-3% on the day the first egg was laid to 51-57% on the day of clutch completion, and 80-83% after clutch completion through hatch. Variation in nest temperature also decreased gradually during egg-laying, and then dropped sharply (33-38%) between the day of and the day after clutch completion because increased nest attendance, particularly at night, resulted in more consistent nest temperatures. During the egg-laying stage, nocturnal nest attendance was low (13-25%), whereas after clutch completion, nest attendance was greater at night (≥87%) than during the day (70-77%) because most incubation recesses occurred during the day. Moreover, during egg-laying, nest attendance and incubation constancy increased more slowly among nests with larger final clutch sizes, suggesting that the number of eggs remaining to be laid is a major driver of incubation effort during egg-laying. Although overall nest attendance after clutch completion was similar among species, the average length of individual incubation bouts was greatest among gadwall (Mareca strepera; 779 minutes), followed by mallard (Anas platyrhynchos; 636 minutes) and then cinnamon teal (Spatula cyanoptera; 347 minutes). These results demonstrate that dabbling ducks moderate their incubation behavior according to nest stage, nest age, time of day, and clutch size and this moderation likely has important implications for egg development and overall nest success.
Collapse
Affiliation(s)
- C Alex Hartman
- U.S. Geological Survey, Western Ecological Research Center, Dixon Field Station, Dixon, California, United States of America
| | - Joshua T Ackerman
- U.S. Geological Survey, Western Ecological Research Center, Dixon Field Station, Dixon, California, United States of America
| | - Sarah H Peterson
- U.S. Geological Survey, Western Ecological Research Center, Dixon Field Station, Dixon, California, United States of America
| | - Brady Fettig
- U.S. Geological Survey, Western Ecological Research Center, Dixon Field Station, Dixon, California, United States of America
| | - Mike Casazza
- U.S. Geological Survey, Western Ecological Research Center, Dixon Field Station, Dixon, California, United States of America
| | - Mark P Herzog
- U.S. Geological Survey, Western Ecological Research Center, Dixon Field Station, Dixon, California, United States of America
| |
Collapse
|
3
|
Peterson SH, Ackerman JT, Keating MP, Schacter CR, Hartman CA, Casazza ML, Herzog MP. Predator movements in relation to habitat features reveal vulnerability of duck nests to predation. Ecol Evol 2022; 12:e9329. [PMID: 36188493 PMCID: PMC9487884 DOI: 10.1002/ece3.9329] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Revised: 08/19/2022] [Accepted: 08/30/2022] [Indexed: 11/07/2022] Open
Abstract
Nest predation is the main cause of nest failure for ducks. Understanding how habitat features influence predator movements may facilitate management of upland and wetland breeding habitats that reduces predator encounter rates with duck nests and increases nest survival rates. For 1618 duck nests, nest survival increased with distance to phragmites (Phragmites australis), shrubs, telephone poles, human structures, and canals, but not for four other habitat features. Using GPS collars, we tracked 25 raccoons (Procyon lotor) and 16 striped skunks (Mephitis mephitis) over 4 years during waterfowl breeding and found marked differences in how these predators were located relative to specific habitat features; moreover, the probability of duck nests being encountered by predators differed by species. Specifically, proximity to canals, wetlands, trees, levees/roads, human structures, shrubs, and telephone poles increased the likelihood of a nest being encountered by collared raccoons. For collared skunks, nests were more likely to be encountered if they were closer to canals, trees, and shrubs, and farther from wetlands and human structures. Most predator encounters with duck nests were attributable to a few individuals; 29.2% of raccoons and 38.5% of skunks were responsible for 95.6% of total nest encounters. During the central span of duck nesting (April 17–June 14: 58 nights), these seven raccoons and five skunks encountered >1 nest on 50.8 ± 29.2% (mean ± SD) and 41.5 ± 28.3% of nights, respectively, and of those nights individual raccoons and skunks averaged 2.60 ± 1.28 and 2.50 ± 1.09 nest encounters/night, respectively. For collared predators that encountered >1 nest, a higher proportion of nests encountered by skunks had evidence of predation (51.9 ± 26.6%) compared to nests encountered by raccoons (22.3 ± 17.1%). Because duck eggs were most likely consumed as raccoons and skunks opportunistically discovered nests, managing the habitat features those predators most strongly associated with could potentially reduce rates of egg predation.
Collapse
Affiliation(s)
- Sarah H. Peterson
- U.S. Geological Survey, Western Ecological Research Center, Dixon Field Station Dixon California USA
| | - Joshua T. Ackerman
- U.S. Geological Survey, Western Ecological Research Center, Dixon Field Station Dixon California USA
| | - Meghan P. Keating
- U.S. Geological Survey, Western Ecological Research Center, Dixon Field Station Dixon California USA
| | - Carley R. Schacter
- U.S. Geological Survey, Western Ecological Research Center, Dixon Field Station Dixon California USA
| | - C. Alex Hartman
- U.S. Geological Survey, Western Ecological Research Center, Dixon Field Station Dixon California USA
| | - Michael L. Casazza
- U.S. Geological Survey, Western Ecological Research Center, Dixon Field Station Dixon California USA
| | - Mark P. Herzog
- U.S. Geological Survey, Western Ecological Research Center, Dixon Field Station Dixon California USA
| |
Collapse
|
4
|
Bonapersona, Born FJ, Bakvis P, Branje S, Elzinga B, Evers A, van Eysden M, Fernandez G, Habets PC, Hartman CA, Hermans EJ, Meeus W, van Middendorp H, Nelemans S, Oei NY, Oldehinkel AJ, Roelofs K, de Rooij SR, Smeets T, Tollenaar MS, Joëls M, Vinkers CH. The STRESS-NL database: A resource for human acute stress studies across the Netherlands. Psychoneuroendocrinology 2022; 141:105735. [PMID: 35447495 DOI: 10.1016/j.psyneuen.2022.105735] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/02/2021] [Revised: 01/10/2022] [Accepted: 03/17/2022] [Indexed: 10/18/2022]
Abstract
Stress initiates a cascade of (neuro)biological, physiological, and behavioral changes, allowing us to respond to a challenging environment. The human response to acute stress can be studied in detail in controlled settings, usually in a laboratory environment. To this end, many studies employ acute stress paradigms to probe stress-related outcomes in healthy and patient populations. Though valuable, these studies in themselves often have relatively limited sample sizes. We established a data-sharing and collaborative interdisciplinary initiative, the STRESS-NL database, which combines (neuro)biological, physiological, and behavioral data across many acute stress studies in order to accelerate our understanding of the human acute stress response in health and disease (www.stressdatabase.eu). Researchers in the stress field from 12 Dutch research groups of 6 Dutch universities created a database to achieve an accurate inventory of (neuro)biological, physiological, and behavioral data from laboratory-based human studies that used acute stress tests. Currently, the STRESS-NL database consists of information on 5529 individual participants (2281 females and 3348 males, age range 6-99 years, mean age 27.7 ± 16 years) stemming from 57 experiments described in 42 independent studies. Studies often did not use the same stress paradigm; outcomes were different and measured at different time points. All studies currently included in the database assessed cortisol levels before, during and after experimental stress, but cortisol measurement will not be a strict requirement for future study inclusion. Here, we report on the creation of the STRESS-NL database and infrastructure to illustrate the potential of accumulating and combining existing data to allow meta-analytical, proof-of-principle analyses. The STRESS-NL database creates a framework that enables human stress research to take new avenues in explorative and hypothesis-driven data analyses with high statistical power. Future steps could be to incorporate new studies beyond the borders of the Netherlands; or build similar databases for experimental stress studies in rodents. In our view, there are major scientific benefits in initiating and maintaining such international efforts.
Collapse
Affiliation(s)
- Bonapersona
- Department of Translational Neuroscience, University Medical Center Utrecht Brain Center, Utrecht University,Utrecht, The Netherlands
| | - F J Born
- Department of Translational Neuroscience, University Medical Center Utrecht Brain Center, Utrecht University,Utrecht, The Netherlands; Charité University, Berlin,Germany
| | - P Bakvis
- Clinical Psychology unit, Institute of Psychology and Leiden Institute for Brain and Cognition, Leiden University,The Netherlands; SEIN, Epilepsy Institute in the Netherlands,Heemstede,The Netherlands
| | - S Branje
- Department of Youth & Family, Utrecht University,Utrecht,The Netherlands
| | - B Elzinga
- Clinical Psychology unit, Institute of Psychology and Leiden Institute for Brain and Cognition, Leiden University,The Netherlands
| | - Awm Evers
- Health, Medical & Neuropsychology unit, Institute of Psychology and Leiden Institute for Brain and Cognition, Leiden University, The Netherlands
| | - M van Eysden
- Department of Translational Neuroscience, University Medical Center Utrecht Brain Center, Utrecht University,Utrecht, The Netherlands
| | - G Fernandez
- Donders Institute for Brain, Cognition, and Behaviour, Radboud University Medical Center,Nijmegen,The Netherlands
| | - P C Habets
- Amsterdam UMC location Vrije Universiteit Amsterdam, Psychiatry,DeBoelelaan 1117, Amsterdam,The Netherlands; Amsterdam Neurosciences, Mood, Anxiety, Psychosis, Stress, and Sleep (MAPSS),Amsterdam, The Netherlands
| | - C A Hartman
- Department of Psychiatry and Interdisciplinary Center Psychopathology and Emotion Regulation, University of Groningen, University Medical Center Groningen,Groningen,The Netherlands
| | - E J Hermans
- Donders Institute for Brain, Cognition, and Behaviour, Radboud University Medical Center,Nijmegen,The Netherlands
| | - W Meeus
- Department of Youth & Family, Utrecht University,Utrecht,The Netherlands
| | - H van Middendorp
- Health, Medical & Neuropsychology unit, Institute of Psychology and Leiden Institute for Brain and Cognition, Leiden University, The Netherlands
| | - S Nelemans
- Department of Youth & Family, Utrecht University,Utrecht,The Netherlands
| | - N Y Oei
- Amsterdam Brain and Cognition (ABC), University of Amsterdam,Amsterdam,The Netherlands; Department of Developmental Psychology, Addiction Development and Psychopathology(ADAPT)-Lab, University of Amsterdam, Amsterdam, The Netherlands, University of Amsterdam,Amsterdam,The Netherlands
| | - A J Oldehinkel
- Department of Psychiatry and Interdisciplinary Center Psychopathology and Emotion Regulation, University of Groningen, University Medical Center Groningen,Groningen,The Netherlands
| | - K Roelofs
- Radboud University Nijmegen: Donders Institute for Brain Cognition and Behaviour and Behavioural Science Institute
| | - S R de Rooij
- Department of Epidemiology and Data Science, University of Amsterdam, Amsterdam UMC,Amsterdam,The Netherlands
| | - T Smeets
- Department of Medical and Clinical Psychology, Center of Research on Psychological disorders and Somatic diseases (CoRPS), Tilburg School of Social and Behavioral Sciences, Tilburg University,Tilburg,The Netherlands
| | - M S Tollenaar
- Clinical Psychology unit, Institute of Psychology and Leiden Institute for Brain and Cognition, Leiden University,The Netherlands
| | - M Joëls
- University of Groningen, University Medical Center Groningen,Groningen,The Netherlands
| | - C H Vinkers
- Amsterdam UMC location Vrije Universiteit Amsterdam, Psychiatry,DeBoelelaan 1117, Amsterdam,The Netherlands; Amsterdam Neurosciences, Mood, Anxiety, Psychosis, Stress, and Sleep (MAPSS),Amsterdam, The Netherlands.
| |
Collapse
|
5
|
Schmengler H, Peeters M, Stevens GWJM, Kunst AE, Hartman CA, Oldehinkel AJ, Vollebergh WAM. Educational level, attention problems, and externalizing behaviour in adolescence and early adulthood. Eur J Public Health 2021. [DOI: 10.1093/eurpub/ckab164.312] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Background
Social causation as well as health-related selection may contribute to educational gradients in adolescents' attention problems (AP) and externalizing behaviour (EB). From past studies it is unclear which of these mechanisms predominates, as AP and EB have the potential to disrupt adolescents' educational careers, but may also be affected by differences in their social environment. Furthermore, gradients in AP and EB may reflect ‘third variables' already present in childhood, such as parental socioeconomic status (SES) and IQ. We investigated social causation and health-related selection in the development of educational differences in EB and AP.
Methods
We used data from a Dutch population-based cohort (TRAILS Study; n = 2,229), including measurements of educational level, EB, and AP at ages around 14, 16, 19, 22, and 26 years. First, we evaluated the directionality in longitudinal associations between education, EB, and AP with cross-lagged panel models, with and without adjusting for pre-existing individual differences using fixed effects. Second, we assessed the role of parental SES and IQ in childhood both as confounders in longitudinal associations, and as predictors of AP, EB, and educational level around age 14.
Results
In fixed effects models, AP, but not EB, consistently predicted decreases in educational level throughout all of adolescence and young adulthood. Regarding social causation, differences in parental SES contributed to increases in EB amongst the lower educational tracks in mid-adolescence. Childhood IQ and parental SES strongly predicted education around age 14. Parental SES, but not IQ, also predicted early adolescent AP and EB.
Conclusions
We found health-related selection attributable to AP throughout all phases of adolescence and young adulthood. Further, our results highlight the role of social causation from parental SES in determining adolescent educational level, AP, and EB.
Key messages
AP have the potential to negatively impact adolescents’ educational careers and may trigger downward mobility in the educational system in all phases of adolescence and young adulthood. The results of this study call for actions to reduce the impact of AP on education. Further, it is essential to address the effects of insufficient economic resources on education and mental health.
Collapse
Affiliation(s)
- H Schmengler
- Utrecht Centre for Child and Adolescent Studies, Utrecht University, Utrecht, Netherlands
| | - M Peeters
- Utrecht Centre for Child and Adolescent Studies, Utrecht University, Utrecht, Netherlands
| | - GWJM Stevens
- Utrecht Centre for Child and Adolescent Studies, Utrecht University, Utrecht, Netherlands
| | - AE Kunst
- Center for Health Inequality Studies, Amsterdam UMC, Amsterdam, Netherlands
| | - CA Hartman
- Department of Psychiatry, University Medical Center of Groningen, Groningen, Netherlands
| | - AJ Oldehinkel
- Department of Psychiatry, University Medical Center of Groningen, Groningen, Netherlands
| | - WAM Vollebergh
- Utrecht Centre for Child and Adolescent Studies, Utrecht University, Utrecht, Netherlands
| |
Collapse
|
6
|
Croston R, Peterson SH, Hartman CA, Herzog MP, Feldheim CL, Casazza ML, Ackerman JT. Nocturnal incubation recess and flushing behavior by duck hens. Ecol Evol 2021; 11:7292-7301. [PMID: 34188813 PMCID: PMC8216913 DOI: 10.1002/ece3.7561] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2020] [Revised: 03/18/2021] [Accepted: 03/26/2021] [Indexed: 11/25/2022] Open
Abstract
Incubating birds must balance the needs of their developing embryos with their own physiological needs, and many birds accomplish this by taking periodic breaks from incubation. Mallard (Anas platyrhynchos) and gadwall (Mareca strepera) hens typically take incubation recesses in the early morning and late afternoon, but recesses can also take place at night. We examined nocturnal incubation recess behavior for mallard and gadwall hens nesting in Suisun Marsh, California, USA, using iButton temperature dataloggers and continuous video monitoring at nests. Fourteen percent of all detected incubation recesses (N = 13,708) were nocturnal and took place on 20% of nest-days (N = 8,668). Video monitoring showed that hens covered their eggs with down feathers when they initiated a nocturnal recess themselves as they would a diurnal recess, but they left the eggs uncovered in 94% of the nocturnal recesses in which predators appeared at nests. Thus, determining whether or not eggs were left uncovered during a recess can provide strong indication whether the recess was initiated by the hen (eggs covered) or a predator (eggs uncovered). Because nest temperature decreased more rapidly when eggs were left uncovered versus covered, we were able to characterize eggs during nocturnal incubation recesses as covered or uncovered using nest temperature data. Overall, we predicted that 75% of nocturnal recesses were hen-initiated recesses (eggs covered) whereas 25% of nocturnal recesses were predator-initiated recesses (eggs uncovered). Of the predator-initiated nocturnal recesses, 56% were accompanied by evidence of depredation at the nest during the subsequent nest monitoring visit. Hen-initiated nocturnal recesses began later in the night (closer to morning) and were shorter than predator-initiated nocturnal recesses. Our results indicate that nocturnal incubation recesses occur regularly (14% of all recesses) and, similar to diurnal recesses, most nocturnal recesses (75%) are initiated by the hen rather than an approaching predator.
Collapse
Affiliation(s)
- Rebecca Croston
- U.S. Geological SurveyWestern Ecological Research CenterDixon Field StationDixonCAUSA
| | - Sarah H. Peterson
- U.S. Geological SurveyWestern Ecological Research CenterDixon Field StationDixonCAUSA
| | - C. Alex Hartman
- U.S. Geological SurveyWestern Ecological Research CenterDixon Field StationDixonCAUSA
| | - Mark P. Herzog
- U.S. Geological SurveyWestern Ecological Research CenterDixon Field StationDixonCAUSA
| | - Cliff L. Feldheim
- Suisun Marsh ProgramCalifornia Department of Water ResourcesSacramentoCAUSA
| | - Michael L. Casazza
- U.S. Geological SurveyWestern Ecological Research CenterDixon Field StationDixonCAUSA
| | - Joshua T. Ackerman
- U.S. Geological SurveyWestern Ecological Research CenterDixon Field StationDixonCAUSA
| |
Collapse
|
7
|
Croston R, Hartman CA, Herzog MP, Peterson SH, Kohl JD, Overton CT, Feldheim CL, Casazza ML, Ackerman JT. Interrupted incubation: How dabbling ducks respond when flushed from the nest. Ecol Evol 2021; 11:2862-2872. [PMID: 33767842 PMCID: PMC7981198 DOI: 10.1002/ece3.7245] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2020] [Revised: 12/04/2020] [Accepted: 12/18/2020] [Indexed: 11/15/2022] Open
Abstract
Nesting birds must provide a thermal environment sufficient for egg development while also meeting self-maintenance needs. Many birds, particularly those with uniparental incubation, achieve this balance through periodic incubation recesses, during which foraging and other self-maintenance activities can occur. However, incubating birds may experience disturbances such as predator or human activity which interrupt natural incubation patterns by compelling them to leave the nest. We characterized incubating mallard Anas platyrhynchos and gadwall Mareca strepera hens' responses when flushed by predators and investigators in Suisun Marsh, California, USA. Diurnal incubation recesses initiated by investigators approaching nests were 63% longer than natural diurnal incubation recesses initiated by the hen (geometric mean: 226.77 min versus 142.04 min). Nocturnal incubation recesses, many of which were likely the result of predators flushing hens, were of similar duration regardless of whether the nest was partially depredated during the event (115.33 [101.01;131.68] minutes) or not (119.62 [111.96;127.82] minutes), yet were 16% shorter than natural diurnal incubation recesses. Hens moved further from the nest during natural diurnal recesses or investigator-initiated recesses than during nocturnal recesses, and the proportion of hen locations recorded in wetland versus upland habitat during recesses varied with recess type (model-predicted means: natural diurnal recess 0.77; investigator-initiated recess 0.82; nocturnal recess 0.31). Hens were more likely to take a natural recess following an investigator-initiated recess earlier that same day than following a natural recess earlier that same day, and natural recesses that followed an investigator-initiated recess were longer than natural recesses that followed an earlier natural recess, suggesting that hens may not fulfill all of their physiological needs during investigator-initiated recesses. We found no evidence that the duration of investigator-initiated recesses was influenced by repeated visits to the nest, whether by predators or by investigators, and trapping and handling the hen did not affect investigator-initiated recess duration unless the hen was also fitted with a backpack-harness style GPS-GSM transmitter at the time of capture. Hens that were captured and fitted with GPS-GSM transmitters took recesses that were 26% longer than recesses during which a hen was captured but a GPS-GSM transmitter was not attached. Incubation interruptions had measurable but limited and specific effects on hen behavior.
Collapse
Affiliation(s)
- Rebecca Croston
- U.S. Geological SurveyWestern Ecological Research CenterDixonCAUSA
| | - C. Alex Hartman
- U.S. Geological SurveyWestern Ecological Research CenterDixonCAUSA
| | - Mark P. Herzog
- U.S. Geological SurveyWestern Ecological Research CenterDixonCAUSA
| | | | - Jeffrey D. Kohl
- U.S. Geological SurveyWestern Ecological Research CenterDixonCAUSA
| | - Cory T. Overton
- U.S. Geological SurveyWestern Ecological Research CenterDixonCAUSA
| | - Cliff L. Feldheim
- California Department of Water ResourcesSuisun Marsh ProgramWest SacramentoCAUSA
| | | | | |
Collapse
|
8
|
Peterson SH, Ackerman JT, Hartman CA, Casazza ML, Feldheim CL, Herzog MP. Mercury exposure in mammalian mesopredators inhabiting a brackish marsh. Environ Pollut 2020; 273:115808. [PMID: 33497946 DOI: 10.1016/j.envpol.2020.115808] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/13/2020] [Revised: 09/18/2020] [Accepted: 10/09/2020] [Indexed: 06/12/2023]
Abstract
Bioaccumulation of environmental contaminants in mammalian predators can serve as an indicator of ecosystem health. We examined mercury concentrations of raccoons (Procyon lotor; n = 37 individuals) and striped skunks (Mephitis mephitis; n = 87 individuals) in Suisun Marsh, California, a large brackish marsh that is characterized by contiguous tracts of tidal marsh and seasonally impounded wetlands. Mean (standard error; range) total mercury concentrations in adult hair grown from 2015 to 2018 were 28.50 μg/g dw (3.05 μg/g dw; range: 4.46-81.01 μg/g dw) in raccoons and 4.85 μg/g dw (0.54 μg/g dw; range: 1.53-27.02 μg/g dw) in striped skunks. We reviewed mammalian hair mercury concentrations in the literature and raccoon mercury concentrations in Suisun Marsh were among the highest observed for wild mammals. Although striped skunk hair mercury concentrations were 83% lower than raccoons, they were higher than proposed background levels for mercury in mesopredator hair (1-5 μg/g). Hair mercury concentrations in skunks and raccoons were not related to animal size, but mercury concentrations were higher in skunks in poorer body condition. Large inter-annual differences in hair mercury concentrations suggest that methylmercury exposure to mammalian predators varied among years. Mercury concentrations of raccoon hair grown in 2017 were 2.7 times greater than hair grown in 2015, 1.7 times greater than hair grown in 2016, and 1.6 times greater than hair grown in 2018. Annual mean raccoon and skunk hair mercury concentrations increased with wetland habitat area. Furthermore, during 2017, raccoon hair mercury concentrations increased with the proportion of raccoon home ranges that was wetted habitat, as quantified using global positioning system (GPS) collars. The elevated mercury concentrations we observed in raccoons and skunks suggest that other wildlife at similar or higher trophic positions may also be exposed to elevated methylmercury bioaccumulation in brackish marshes.
Collapse
Affiliation(s)
- Sarah H Peterson
- U.S. Geological Survey, Western Ecological Research Center, Dixon Field Station, 800 Business Park Drive Suite D, Dixon, CA, 95620, USA.
| | - Joshua T Ackerman
- U.S. Geological Survey, Western Ecological Research Center, Dixon Field Station, 800 Business Park Drive Suite D, Dixon, CA, 95620, USA
| | - C Alex Hartman
- U.S. Geological Survey, Western Ecological Research Center, Dixon Field Station, 800 Business Park Drive Suite D, Dixon, CA, 95620, USA
| | - Michael L Casazza
- U.S. Geological Survey, Western Ecological Research Center, Dixon Field Station, 800 Business Park Drive Suite D, Dixon, CA, 95620, USA
| | - Cliff L Feldheim
- California Department of Water Resources, 3500 Industrial Blvd #131, West Sacramento, CA 95691, USA
| | - Mark P Herzog
- U.S. Geological Survey, Western Ecological Research Center, Dixon Field Station, 800 Business Park Drive Suite D, Dixon, CA, 95620, USA
| |
Collapse
|
9
|
Peterson SH, Ackerman JT, Herzog MP, Toney MS, Cooney B, Hartman CA. Avian eggshell thickness in relation to egg morphometrics, embryonic development, and mercury contamination. Ecol Evol 2020; 10:8715-8740. [PMID: 32884653 PMCID: PMC7452760 DOI: 10.1002/ece3.6570] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2020] [Revised: 06/09/2020] [Accepted: 06/17/2020] [Indexed: 12/15/2022] Open
Abstract
Eggshell thickness is important for physiological, ecological, and ecotoxicological studies on birds; however, empirical eggshell thickness measurements for many species and regions are limited. We measured eggshell thickness at the equator and the egg poles for 12 avian species and related eggshell thickness to egg morphometrics, embryonic development, egg status, and mercury contamination. Within an egg, eggshells were approximately 5.1% thicker at the equator than the sharp pole of the egg, although this difference varied among species (0.6%-9.8%). Within Forster's tern (Sterna forsteri), where eggshell thickness was measured at 5 equally spaced positions along the longitude of the egg, eggshell thickness changed more rapidly near the sharp pole of the egg compared to near the blunt pole of the egg. Within species, eggshell thickness was related to egg width and egg volume for six of the 12 species but was not related to egg length for any species. Among species, mean eggshell thickness was strongly related to species mean egg width, egg length, egg volume, and bird body mass, although species mean body mass was the strongest predictor of species mean eggshell thickness. Using three species (American avocet [Recurvirostra americana], black-necked stilt [Himantopus mexicanus], and Forster's tern), whose nests were carefully monitored, eggshell thickness (including the eggshell membrane) did not differ among viable, naturally abandoned, dead, or failed-to-hatch eggs; was not related to total mercury concentrations of the egg content; and did not decrease with embryonic age. Our study also provides a review of all existing eggshell thickness data for these 12 species.
Collapse
Affiliation(s)
- Sarah H. Peterson
- U.S. Geological Survey, Western Ecological Research CenterDixon Field StationDixonCAUSA
| | - Joshua T. Ackerman
- U.S. Geological Survey, Western Ecological Research CenterDixon Field StationDixonCAUSA
| | - Mark P. Herzog
- U.S. Geological Survey, Western Ecological Research CenterDixon Field StationDixonCAUSA
| | - Matthew S. Toney
- U.S. Geological Survey, Western Ecological Research CenterDixon Field StationDixonCAUSA
| | - Breanne Cooney
- U.S. Geological Survey, Western Ecological Research CenterDixon Field StationDixonCAUSA
| | - C. Alex Hartman
- U.S. Geological Survey, Western Ecological Research CenterDixon Field StationDixonCAUSA
| |
Collapse
|
10
|
Kreuze LJ, Jonker NC, Hartman CA, Nauta MH, de Jong PJ. Attentional Bias for Cues Signaling Punishment and Reward in Adolescents: Cross-Sectional and Prognostic Associations with Symptoms of Anxiety and Behavioral Disorders. J Abnorm Child Psychol 2020; 48:1007-1021. [PMID: 32445103 PMCID: PMC7351843 DOI: 10.1007/s10802-020-00654-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
Heightened reward sensitivity has been proposed as a risk factor for developing behavioral disorders whereas heightened punishment sensitivity has been related to the development of anxiety disorders in youth. Combining a cross-sectional (n = 696, mean age = 16.14) and prospective (n = 598, mean age = 20.20) approach, this study tested the hypotheses that an attentional bias for punishing cues is involved in the development of anxiety disorders and an attentional bias for rewarding cues in the development of behavioral disorders. A spatial orientation task was used to examine the relation between an attentional bias for punishing cues and an attentional bias for rewarding cues with anxiety and behavioral problems in a subsample of a large prospective population cohort study. Our study indicates that attentional biases to general cues of punishment and reward do not seem to be important risk factors for the development of anxiety or behavioral problems respectively. It might be that attentional biases play a role in the maintenance of psychological problems. This remains open for future research.
Collapse
Affiliation(s)
- L J Kreuze
- Department of Clinical Psychology and Experimental Psychopathology, University of Groningen, Grote Kruisstraat 2/1, 9712 TS, Groningen, The Netherlands.
| | - N C Jonker
- Department of Clinical Psychology and Experimental Psychopathology, University of Groningen, Grote Kruisstraat 2/1, 9712 TS, Groningen, The Netherlands
| | - C A Hartman
- Department of Psychiatry, Interdisciplinary Center Psychopathology and Emotion regulation (ICPE), University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - M H Nauta
- Department of Clinical Psychology and Experimental Psychopathology, University of Groningen, Grote Kruisstraat 2/1, 9712 TS, Groningen, The Netherlands
| | - P J de Jong
- Department of Clinical Psychology and Experimental Psychopathology, University of Groningen, Grote Kruisstraat 2/1, 9712 TS, Groningen, The Netherlands
| |
Collapse
|
11
|
Affiliation(s)
- Mark P. Herzog
- U.S. Geological Survey Western Ecological Research Center, Dixon Field Station 800 Business Park Drive, Suite D Dixon CA 95620 USA
| | - Joshua T. Ackerman
- U.S. Geological Survey Western Ecological Research Center, Dixon Field Station 800 Business Park Drive, Suite D Dixon CA 95620 USA
| | - C. Alex Hartman
- U.S. Geological Survey Western Ecological Research Center, Dixon Field Station 800 Business Park Drive, Suite D Dixon CA 95620 USA
| | - Sarah H. Peterson
- U.S. Geological Survey Western Ecological Research Center, Dixon Field Station 800 Business Park Drive, Suite D Dixon CA 95620 USA
| |
Collapse
|
12
|
Ackerman JT, Herzog MP, Evers DC, Cristol DA, Kenow KP, Heinz GH, Lavoie RA, Brasso RL, Mallory ML, Provencher JF, Braune BM, Matz A, Schmutz JA, Eagles-Smith CA, Savoy LJ, Meyer MW, Hartman CA. Synthesis of Maternal Transfer of Mercury in Birds: Implications for Altered Toxicity Risk. Environ Sci Technol 2020; 54:2878-2891. [PMID: 31870145 DOI: 10.1021/acs.est.9b06119] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/12/2023]
Abstract
Maternal transfer is a predominant route of methylmercury (MeHg) exposure to offspring. We reviewed and synthesized published and unpublished data on maternal transfer of MeHg in birds. Using paired samples of females' blood (n = 564) and their eggs (n = 1814) from 26 bird species in 6 taxonomic orders, we conducted a meta-analysis to evaluate whether maternal transfer of MeHg to eggs differed among species and caused differential toxicity risk to embryos. Total mercury (THg) concentrations in eggs increased with maternal blood THg concentrations; however, the proportion of THg transferred from females to their eggs differed among bird taxa and with maternal THg exposure. Specifically, a smaller proportion of maternal THg was transferred to eggs with increasing female THg concentrations. Additionally, the proportion of THg that was transferred to eggs at the same maternal blood THg concentration differed among taxonomic orders, with waterfowl (Anseriformes) transferring up to 382% more THg into their eggs than songbirds (Passeriformes). We provide equations to predict THg concentrations in eggs using female blood THg concentrations, and vice versa, which may help translate toxicity benchmarks across tissues and life stages. Our results indicate that toxicity risk of MeHg can vary among bird taxa due to differences in maternal transfer of MeHg to offspring.
Collapse
Affiliation(s)
- Joshua T Ackerman
- U.S. Geological Survey, Western Ecological Research Center, Dixon Field Station, 800 Business Park Drive, Suite D, Dixon, California 95620, United States
| | - Mark P Herzog
- U.S. Geological Survey, Western Ecological Research Center, Dixon Field Station, 800 Business Park Drive, Suite D, Dixon, California 95620, United States
| | - David C Evers
- Biodiversity Research Institute, 276 Canco Road, Portland, Maine 04103, United States
| | - Daniel A Cristol
- College of William and Mary, CBiology Department, P.O. Box 8795, Williamsburg, Virginia 23187, United States
| | - Kevin P Kenow
- U.S. Geological Survey, Upper Midwest Environmental Sciences Center, 2630 Fanta Reed Road, La Crosse, Wisconsin 54603, United States
| | - Gary H Heinz
- U.S. Geological Survey, Patuxent Wildlife Research Center, BARC-East, Building 308, 10300 Baltimore Avenue, Beltsville, Maryland 20705, United States
| | - Raphael A Lavoie
- Groupe de Recherche Interuniversitaire en Limnologie et environnement aquatique (GRIL), Département de Sciences Biologiques, Université de Montréal, Pavillon Marie-Victorin, CP6128, Succ. Centre-ville, Montréal, Québec H3C 3J7, Canada
| | - Rebecka L Brasso
- Weber State University, Department of Zoology, 1415 Edvalson Drive, Ogden, Utah 84408, United States
| | - Mark L Mallory
- Acadia University, Biology Department, 15 University Drive, Wolfville, Nova Scotia B4P 2R6, Canada
| | - Jennifer F Provencher
- Acadia University, Biology Department, 15 University Drive, Wolfville, Nova Scotia B4P 2R6, Canada
| | - Birgit M Braune
- Environment and Climate Change Canada, National Wildlife Research Centre, Carleton University, Raven Road, Ottawa, Ontario K1A 0H3, Canada
| | - Angela Matz
- U.S. Fish and Wildlife Service, 1011 East Tudor Road, Anchorage, Alaska 99503, United States
| | - Joel A Schmutz
- U.S. Geological Survey, Alaska Science Center, 4210 University Drive, Anchorage, Alaska 99508, United States
| | - Collin A Eagles-Smith
- U.S. Geological Survey, Forest and Rangeland Ecosystem Science Center, 3200 SW Jefferson Way, Corvallis, Oregon 97331, United States
| | - Lucas J Savoy
- Biodiversity Research Institute, 276 Canco Road, Portland, Maine 04103, United States
| | - Michael W Meyer
- Wisconsin Department of Natural Resources, 107 Sutliff Avenue, Rhinelander, Wisconsin 54501, United States
| | - C Alex Hartman
- U.S. Geological Survey, Western Ecological Research Center, Dixon Field Station, 800 Business Park Drive, Suite D, Dixon, California 95620, United States
| |
Collapse
|
13
|
Croston R, Hartman CA, Herzog MP, Casazza ML, Feldheim CL, Ackerman JT. Timing, frequency, and duration of incubation recesses in dabbling ducks. Ecol Evol 2020; 10:2513-2529. [PMID: 32184998 PMCID: PMC7069289 DOI: 10.1002/ece3.6078] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2019] [Revised: 01/09/2020] [Accepted: 01/13/2020] [Indexed: 11/11/2022] Open
Abstract
Nest attendance is an important determinant of avian reproductive success, and identifying factors that influence the frequency and duration of incubation recesses furthers our understanding of how incubating birds balance their needs with those of their offspring. We characterized the frequency and timing (start time, end time, and duration) of incubation recesses for mallard (Anas platyrhynchos) and gadwall (Mareca strepera) hens breeding in Suisun Marsh, California, USA, and examined the influences of day of year, ambient temperature at the nest, incubation day, and clutch size on recess frequency and timing using linear mixed models. Mallard, on average, took more recesses per day (1.69 ± 0.80, mean ± standard deviation) than did gadwall (1.39 ± 0.69), and 45% of mallard nest-days were characterized by two recesses, while only 27% of gadwall nest-days were characterized by two recesses. Mallard morning recesses started at 06:14 ± 02:46 and lasted 106.11 ± 2.01 min, whereas mallard afternoon recesses started at 16:39 ± 02:11 and lasted 155.39 ± 1.99 min. Gadwall morning recesses started at 06:30 ± 02:46 and lasted 91.28 ± 2.32 min, and gadwall afternoon recesses started at 16:31 ± 01:57 and lasted 192.69 ± 1.89 min. Mallard and gadwall started recesses earlier in the day with increasing ambient temperature, but later in the day as the season progressed. Recess duration decreased as the season progressed and as clutch size increased, and increased with ambient temperature at the nest. The impending darkness of sunset appeared to be a strong cue for ending a recess and returning to the nest, because hens returned to their nests earlier than expected when recesses were expected to end after sunset. Within hens, the timing of incubation recesses was repeatable across incubation days and was most repeatable for mallard afternoon recesses and on days in which hens took only one recess. Hens were most likely to be away from nests between 04:00 and 07:00 and between 16:00 and 19:00; therefore, investigators should search for nests between 07:00 and 16:00. Our analyses identified important factors influencing incubation recess timing in dabbling ducks and have important implications for nest monitoring programs.
Collapse
Affiliation(s)
- Rebecca Croston
- U.S. Geological SurveyWestern Ecological Research CenterDixonCAUSA
| | - C. Alex Hartman
- U.S. Geological SurveyWestern Ecological Research CenterDixonCAUSA
| | - Mark P. Herzog
- U.S. Geological SurveyWestern Ecological Research CenterDixonCAUSA
| | | | - Cliff L. Feldheim
- Suisun Marsh ProgramCalifornia Department of Water ResourcesSacramentoCAUSA
| | | |
Collapse
|
14
|
Horwitz EH, Schoevers RA, Greaves-Lord K, de Bildt A, Hartman CA. Adult Manifestation of Milder Forms of Autism Spectrum Disorder; Autistic and Non-autistic Psychopathology. J Autism Dev Disord 2020; 50:2973-2986. [PMID: 32052317 PMCID: PMC7374470 DOI: 10.1007/s10803-020-04403-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
We compared the presence of autistic and comorbid psychopathology and functional impairments in young adults who received a clinical diagnosis of Pervasive Developmental Disorders Not Otherwise Specified or Asperger’s Disorder during childhood to that of a referred comparison group. While the Autism Spectrum Disorder group on average scored higher on a dimensional ASD self- and other-report measure than clinical controls, the majority did not exceed the ASD cutoff according to the Autism Diagnostic Observation Schedule. Part of the individuals with an ASD diagnosis in their youth no longer show behaviors that underscribe a clinical ASD diagnosis in adulthood, but have subtle difficulties in social functioning and a vulnerability for a range of other psychiatric disorders.
Collapse
Affiliation(s)
- E H Horwitz
- University Medical Center Groningen, University of Groningen, Groningen, The Netherlands. .,University Medical Center Groningen, University Psychiatric Center, Hanzeplein 1, 9713 GZ, Groningen, The Netherlands. .,GGZ Friesland, Leeuwarden, The Netherlands.
| | - R A Schoevers
- University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.,University Medical Center Groningen, University Psychiatric Center, Hanzeplein 1, 9713 GZ, Groningen, The Netherlands
| | | | - A de Bildt
- University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.,University Medical Center Groningen, University Psychiatric Center, Hanzeplein 1, 9713 GZ, Groningen, The Netherlands
| | - C A Hartman
- University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.,University Medical Center Groningen, University Psychiatric Center, Hanzeplein 1, 9713 GZ, Groningen, The Netherlands
| |
Collapse
|
15
|
Hartman CA, Ackerman JT, Herzog MP, Strong C, Trachtenbarg D. Social attraction used to establish Caspian tern nesting colonies in San Francisco Bay. Glob Ecol Conserv 2019. [DOI: 10.1016/j.gecco.2019.e00757] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022] Open
|
16
|
Abstract
Methylmercury is a neurotoxin and endocrine disruptor and may impair avian reproduction directly through embryotoxicity or by altering parental care behaviors. We studied mercury exposure and incubation behavior of free-living tree swallows ( Tachycineta bicolor) nesting in artificial nest boxes. Using small temperature dataloggers, we measured incubation constancy (the proportion of each day the female spent incubating eggs), the number of incubation recesses taken per day, and the duration of incubation recesses. We also assessed maternal mercury exposure by measuring mercury concentrations in both blood and eggs. Females with higher mercury concentrations exhibited lower incubation constancy, took more frequent and shorter incubation recesses, and were more likely to take incubation recesses that caused nest temperature decreases that were likely to slow embryonic development. Overall, females that laid eggs with the highest observed mercury concentration (0.53 μg/g fww) spent an average of 12% less time incubating their eggs over the 14-day incubation period than females that laid eggs with the lowest mercury concentration (0.07 μg/g fww). Because less time spent incubating can lower egg temperatures, slow embryonic development, and potentially lengthen the incubation period, these results suggest that environmentally relevant mercury concentrations may negatively influence reproduction by altering parental nesting behaviors of wild songbirds.
Collapse
Affiliation(s)
- C Alex Hartman
- U.S. Geological Survey , Western Ecological Research Center , Dixon Field Station, 800 Business Park Drive, Suite D , Dixon , California 95620 , United States
| | - Joshua T Ackerman
- U.S. Geological Survey , Western Ecological Research Center , Dixon Field Station, 800 Business Park Drive, Suite D , Dixon , California 95620 , United States
| | - Mark P Herzog
- U.S. Geological Survey , Western Ecological Research Center , Dixon Field Station, 800 Business Park Drive, Suite D , Dixon , California 95620 , United States
| |
Collapse
|
17
|
Peterson SH, Ackerman JT, Herzog MP, Hartman CA, Croston R, Feldheim CL, Casazza ML. Sitting ducklings: Timing of hatch, nest departure, and predation risk for dabbling duck broods. Ecol Evol 2019; 9:5490-5500. [PMID: 31110697 PMCID: PMC6509383 DOI: 10.1002/ece3.5146] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2018] [Revised: 03/11/2019] [Accepted: 03/15/2019] [Indexed: 11/11/2022] Open
Abstract
For ground-nesting waterfowl, the timing of egg hatch and duckling departure from the nest may be influenced by the risk of predation at the nest and en route to wetlands and constrained by the time required for ducklings to imprint on the hen and be physically able to leave the nest. We determined the timing of hatch, nest departure, and predation on dabbling duck broods using small video cameras placed at the nests of mallard (Anas platyrhynchos; n = 26), gadwall (Mareca strepera; n = 24), and cinnamon teal (Anas cyanoptera; n = 5). Mallard eggs began to hatch throughout the day and night, whereas gadwall eggs generally started to hatch during daylight hours (mean 7.5 hr after dawn). Among all species, duckling departure from the nest occurred during daylight (98%), and 53% of hens typically left the nest with their broods 1-4 hr after dawn. For mallard and gadwall, we identified three strategies for the timing of nest departure: (a) 9% of broods left the nest the same day that eggs began to hatch (6-12 hr later), (b) 81% of broods left the nest the day after eggs began to hatch, and (c) 10% of broods waited 2 days to depart the nest after eggs began to hatch, leaving the nest just after the second dawn (27-42 hr later). Overall, eggs were depredated at 10% of nests with cameras in the 2 days prior to hatch and ducklings were depredated at 15% of nests with cameras before leaving the nest. Our results suggest that broods prefer to depart the nest early in the morning, which may best balance developmental constraints with predation risk both at the nest and en route to wetlands.
Collapse
Affiliation(s)
- Sarah H. Peterson
- U.S. Geological Survey, Western Ecological Research CenterDixon Field StationDixonCalifornia
| | - Joshua T. Ackerman
- U.S. Geological Survey, Western Ecological Research CenterDixon Field StationDixonCalifornia
| | - Mark P. Herzog
- U.S. Geological Survey, Western Ecological Research CenterDixon Field StationDixonCalifornia
| | - C. Alex Hartman
- U.S. Geological Survey, Western Ecological Research CenterDixon Field StationDixonCalifornia
| | - Rebecca Croston
- U.S. Geological Survey, Western Ecological Research CenterDixon Field StationDixonCalifornia
| | - Cliff L. Feldheim
- California Department of Water ResourcesSuisun Marsh ProgramWest SacramentoCalifornia
| | - Michael L. Casazza
- U.S. Geological Survey, Western Ecological Research CenterDixon Field StationDixonCalifornia
| |
Collapse
|
18
|
Ackerman JT, Hartman CA, Herzog MP. Mercury contamination in resident and migrant songbirds and potential effects on body condition. Environ Pollut 2019; 246:797-810. [PMID: 30623836 DOI: 10.1016/j.envpol.2018.11.060] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/06/2018] [Revised: 11/19/2018] [Accepted: 11/20/2018] [Indexed: 06/09/2023]
Abstract
Methlymercury is a significant risk to environmental health globally. We examined the ecological drivers of methylmercury bioaccumulation in songbirds and its effect on body condition while experimentally removing the potentially confounding and predominant effects of site and habitat. We measured blood and feather mercury concentrations and body condition in nearly 1200 individuals representing resident or migrant songbirds of 52 species and 5 foraging guilds. Songbird mercury concentrations differed among species, foraging guilds, residency status, dates, and ages, but not sexes. Blood mercury concentrations 1) ranged from 0.003 in house finch to 0.85 μg/g ww in American robin, 2) were 125 times greater in insectivores than granivores and 3.6 times greater in insectivores than omnivores, 3) were 3.3 times greater in summer residents than in migrating songbirds, 4) increased by 25% throughout spring and summer, and 5) were 45% higher in adults than juveniles. Songbird mercury concentrations were negatively correlated with body condition, with blood mercury concentrations decreasing by 44% and 34% over the range of standardized body masses and fat scores, respectively. Our results highlight the importance of foraging and migration ecology in determining methylmercury contamination in birds, and the potential for reduced body condition with methylmercury exposure in songbirds.
Collapse
Affiliation(s)
- Joshua T Ackerman
- U.S. Geological Survey, Western Ecological Research Center, Dixon Field Station, 800 Business Park Drive, Suite D, Dixon, CA, 95620, USA.
| | - C Alex Hartman
- U.S. Geological Survey, Western Ecological Research Center, Dixon Field Station, 800 Business Park Drive, Suite D, Dixon, CA, 95620, USA
| | - Mark P Herzog
- U.S. Geological Survey, Western Ecological Research Center, Dixon Field Station, 800 Business Park Drive, Suite D, Dixon, CA, 95620, USA
| |
Collapse
|
19
|
Arias-Vásquez A, Groffen AJ, Spijker S, Ouwens KG, Klein M, Vojinovic D, Galesloot TE, Bralten J, Hottenga JJ, van der Most PJ, Kattenberg VM, Pool R, Nolte IM, Penninx BWJH, Fedko IO, Dolan CV, Nivard MG, den Braber A, van Duijn CM, Hoekstra PJ, Buitelaar JK, Kiemeney LA, Hoogman M, Middeldorp CM, Draisma HHM, Vermeulen SH, Sánchez-Mora C, Ramos-Quiroga JA, Ribasés M, Hartman CA, Kooij JJS, Amin N, Smit AB, Franke B, Boomsma DI. A Potential Role for the STXBP5-AS1 Gene in Adult ADHD Symptoms. Behav Genet 2019; 49:270-285. [PMID: 30659475 DOI: 10.1007/s10519-018-09947-2] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2018] [Accepted: 12/26/2018] [Indexed: 12/15/2022]
Abstract
We aimed to detect Attention-deficit/hyperactivity (ADHD) risk-conferring genes in adults. In children, ADHD is characterized by age-inappropriate levels of inattention and/or hyperactivity-impulsivity and may persists into adulthood. Childhood and adulthood ADHD are heritable, and are thought to represent the clinical extreme of a continuous distribution of ADHD symptoms in the general population. We aimed to leverage the power of studies of quantitative ADHD symptoms in adults who were genotyped. Within the SAGA (Study of ADHD trait genetics in adults) consortium, we estimated the single nucleotide polymorphism (SNP)-based heritability of quantitative self-reported ADHD symptoms and carried out a genome-wide association meta-analysis in nine adult population-based and case-only cohorts of adults. A total of n = 14,689 individuals were included. In two of the SAGA cohorts we found a significant SNP-based heritability for self-rated ADHD symptom scores of respectively 15% (n = 3656) and 30% (n = 1841). The top hit of the genome-wide meta-analysis (SNP rs12661753; p-value = 3.02 × 10-7) was present in the long non-coding RNA gene STXBP5-AS1. This association was also observed in a meta-analysis of childhood ADHD symptom scores in eight population-based pediatric cohorts from the Early Genetics and Lifecourse Epidemiology (EAGLE) ADHD consortium (n = 14,776). Genome-wide meta-analysis of the SAGA and EAGLE data (n = 29,465) increased the strength of the association with the SNP rs12661753. In human HEK293 cells, expression of STXBP5-AS1 enhanced the expression of a reporter construct of STXBP5, a gene known to be involved in "SNAP" (Soluble NSF attachment protein) Receptor" (SNARE) complex formation. In mouse strains featuring different levels of impulsivity, transcript levels in the prefrontal cortex of the mouse ortholog Gm28905 strongly correlated negatively with motor impulsivity as measured in the five choice serial reaction time task (r2 = - 0.61; p = 0.004). Our results are consistent with an effect of the STXBP5-AS1 gene on ADHD symptom scores distribution and point to a possible biological mechanism, other than antisense RNA inhibition, involved in ADHD-related impulsivity levels.
Collapse
Affiliation(s)
- A Arias-Vásquez
- Department of Psychiatry, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands. .,Department of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Route 855, Postbus 9101, 6500 HB, Nijmegen, The Netherlands. .,Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands.
| | - A J Groffen
- Department of Functional Genomics and Department of Clinical Genetics, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, Vrije Universiteit Amsterdam and VU Medical Center Amsterdam, Amsterdam, The Netherlands
| | - S Spijker
- Netherlands Twin Register, Department of Biological Psychology, Vrije Universiteit, Amsterdam, The Netherlands
| | - K G Ouwens
- Netherlands Twin Register, Department of Biological Psychology, Vrije Universiteit, Amsterdam, The Netherlands.,Amsterdam Public Health, Amsterdam, The Netherlands
| | - M Klein
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Route 855, Postbus 9101, 6500 HB, Nijmegen, The Netherlands
| | - D Vojinovic
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - T E Galesloot
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - J Bralten
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Route 855, Postbus 9101, 6500 HB, Nijmegen, The Netherlands
| | - J J Hottenga
- Netherlands Twin Register, Department of Biological Psychology, Vrije Universiteit, Amsterdam, The Netherlands.,Amsterdam Public Health, Amsterdam, The Netherlands
| | - P J van der Most
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - V M Kattenberg
- Netherlands Twin Register, Department of Biological Psychology, Vrije Universiteit, Amsterdam, The Netherlands
| | - R Pool
- Netherlands Twin Register, Department of Biological Psychology, Vrije Universiteit, Amsterdam, The Netherlands.,Amsterdam Public Health, Amsterdam, The Netherlands
| | - I M Nolte
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - B W J H Penninx
- Department of Psychiatry, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
| | - I O Fedko
- Netherlands Twin Register, Department of Biological Psychology, Vrije Universiteit, Amsterdam, The Netherlands.,Amsterdam Public Health, Amsterdam, The Netherlands
| | - C V Dolan
- Netherlands Twin Register, Department of Biological Psychology, Vrije Universiteit, Amsterdam, The Netherlands
| | - M G Nivard
- Netherlands Twin Register, Department of Biological Psychology, Vrije Universiteit, Amsterdam, The Netherlands.,Amsterdam Public Health, Amsterdam, The Netherlands
| | - A den Braber
- Netherlands Twin Register, Department of Biological Psychology, Vrije Universiteit, Amsterdam, The Netherlands
| | - C M van Duijn
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - P J Hoekstra
- Department of Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - J K Buitelaar
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands.,Karakter, Child and Adolescent Psychiatry University Centre, Nijmegen, The Netherlands
| | - L A Kiemeney
- Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands
| | - M Hoogman
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Route 855, Postbus 9101, 6500 HB, Nijmegen, The Netherlands
| | - C M Middeldorp
- Netherlands Twin Register, Department of Biological Psychology, Vrije Universiteit, Amsterdam, The Netherlands.,Child Health Research Centre, University of Queensland, Brisbane, Australia.,Child and Youth Mental Health Service, Children's Health Queensland Hospital and Health Services, Brisbane, Australia
| | - H H M Draisma
- Netherlands Twin Register, Department of Biological Psychology, Vrije Universiteit, Amsterdam, The Netherlands
| | - S H Vermeulen
- Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands
| | - C Sánchez-Mora
- Psychiatric Genetics Unit, Vall d'Hebron Research Institute (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain.,Department of Psychiatry, Hospital Universitari Vall d'Hebron, Barcelona, Spain.,Biomedical Network Research Centre on Mental Health (CIBERSAM), Barcelona, Spain
| | - J A Ramos-Quiroga
- Department of Psychiatry, Hospital Universitari Vall d'Hebron, Barcelona, Spain.,Biomedical Network Research Centre on Mental Health (CIBERSAM), Barcelona, Spain.,Department of Psychiatry and Legal Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - M Ribasés
- Psychiatric Genetics Unit, Vall d'Hebron Research Institute (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain.,Department of Psychiatry, Hospital Universitari Vall d'Hebron, Barcelona, Spain.,Biomedical Network Research Centre on Mental Health (CIBERSAM), Barcelona, Spain
| | | | - C A Hartman
- Department of Psychiatry, Interdisciplinary Center Psychopathology and Emotion Regulation, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - J J S Kooij
- Psycho-Medical Programs, PsyQ, Program Adult ADHD, The Hague, The Netherlands
| | - N Amin
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - A B Smit
- Netherlands Twin Register, Department of Biological Psychology, Vrije Universiteit, Amsterdam, The Netherlands
| | - B Franke
- Department of Psychiatry, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands.,Department of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Route 855, Postbus 9101, 6500 HB, Nijmegen, The Netherlands
| | - D I Boomsma
- Netherlands Twin Register, Department of Biological Psychology, Vrije Universiteit, Amsterdam, The Netherlands.,Amsterdam Public Health, Amsterdam, The Netherlands
| |
Collapse
|
20
|
Vugteveen J, De Bildt A, Hartman CA, Timmerman ME. Using the Dutch multi-informant Strengths and Difficulties Questionnaire (SDQ) to predict adolescent psychiatric diagnoses. Eur Child Adolesc Psychiatry 2018; 27:1347-1359. [PMID: 29478191 DOI: 10.1007/s00787-018-1127-y] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/16/2017] [Accepted: 02/09/2018] [Indexed: 10/18/2022]
Abstract
Knowledge on the validity of the Strengths and Difficulties Questionnaire (SDQ) among adolescents is limited but essential for the interpretation of SDQ scores preceding the diagnostic process. This study assessed the predictive and discriminative value of adolescent- and parent-rated SDQ scores for psychiatric disorders, diagnosed by professionals in outpatient community clinics, in a sample of 2753 Dutch adolescents aged 12-17. Per disorder, the predictive accuracy of the SDQ scale that is contentwise related to that particular disorder and the SDQ impact scale was assessed. That is, 24 logistic regression analyses were performed, for each combination of DSM-IV diagnosis [4: Attention-Deficit/Hyperactivity Disorder (ADHD), Conduct/Oppositional Defiant Disorder (CD/ODD), Anxiety/Mood disorder, Autism Spectrum Disorder (ASD)], informant (3: adolescent, parent, both), and SDQ scale(s) (2; related scale only, related scale and impact scale). Additional logistic regression analyses were performed to assess the discriminative strength of the SDQ scales. The results show both fair predictive strength and fair discriminative strength for the adolescent- and parent-reported hyperactivity scales, the parent-reported conduct scale, and the parent-reported social and prosocial scales, indicating that these scales provide useful information about the presence of ADHD, CD/ODD, and ASD, respectively. The SDQ emotional scale showed to be insufficiently predictive. The findings suggest that parent-rated SDQ scores can be used to provide clinicians with a preliminary impression of the type of problems for ADHD, CD/ODD, and ASD, and adolescent for ADHD.
Collapse
Affiliation(s)
- J Vugteveen
- Heymans Institute for Psychological Research, University of Groningen, Groningen, The Netherlands.
| | - A De Bildt
- Department of Psychiatry, Child and Adolescent Psychiatry, University Medical Center Groningen (UMCG), Groningen, The Netherlands.,Accare Child and Adolescent Psychiatry Groningen, Groningen, The Netherlands
| | - C A Hartman
- Department of Psychiatry, Interdisciplinary Center Psychopathology and Emotion Regulation (ICPE), University of Groningen, University Medical Center Groningen (UMCG), Groningen, The Netherlands
| | - M E Timmerman
- Heymans Institute for Psychological Research, University of Groningen, Groningen, The Netherlands
| |
Collapse
|
21
|
Abstract
BACKGROUND We modeled both psychopathology and executive function (EF) as bi-factor models to study if EF impairments are transdiagnostic or relate to individual syndromes, and concurrently, if such associations are with general EF or specific EF impairments. METHODS Data were obtained from the Tracking Adolescents' Individual Lives Survey (TRAILS; N = 2230). Psychopathology was assessed with parent-report questionnaires at ages 11, 14, 16, and 19, and EF with tasks from the Amsterdam Neuropsychological Tasks program at ages 11 and 19. Bi-factor models were fitted to the data using confirmatory factor analysis. Correlations were estimated to study the associations between general or specific components of both psychopathology and EF. RESULTS A bi-factor model with a general psychopathology factor, alongside internalizing (INT), externalizing, attention deficit/hyperactivity (ADHD), and autism spectrum (ASD) problem domains, and a bi-factor model with a general EF factor, alongside specific EFs were adequately fitting measurement models. The best-fitting model between EF and psychopathology showed substantial associations of specific EFs with the general psychopathology factor, in addition to distinct patterns of association with ASD, ADHD, and INT problems. CONCLUSIONS By studying very diverse psychopathology domains simultaneously, we show how EF impairments cross diagnostic boundaries. In addition to this generic relation, ADHD, ASD, and INT symptomatology show separable profiles of EF impairments. Thus, inconsistent findings in the literature may be explained by substantial transdiagnostic EF impairments. Whether general EF or specific EFs are related to psychopathology needs to be further studied, as differences in fit between these models were small.
Collapse
Affiliation(s)
- A J P Bloemen
- University of Groningen, University Medical Center Groningen, Interdisciplinary Center Psychopathology and Emotion regulation, Groningen, The Netherlands
| | - A J Oldehinkel
- University of Groningen, University Medical Center Groningen, Interdisciplinary Center Psychopathology and Emotion regulation, Groningen, The Netherlands
| | - O M Laceulle
- Department of Developmental Psychology, Utrecht University, Utrecht, The Netherlands
| | - J Ormel
- University of Groningen, University Medical Center Groningen, Interdisciplinary Center Psychopathology and Emotion regulation, Groningen, The Netherlands
| | - N N J Rommelse
- Department of Psychiatry, Radboud University Medical Center, Nijmegen, The Netherlands
| | - C A Hartman
- University of Groningen, University Medical Center Groningen, Interdisciplinary Center Psychopathology and Emotion regulation, Groningen, The Netherlands
| |
Collapse
|
22
|
Peterson SH, Ackerman JT, Eagles-Smith CA, Herzog MP, Hartman CA. Prey fish returned to Forster's tern colonies suggest spatial and temporal differences in fish composition and availability. PLoS One 2018; 13:e0193430. [PMID: 29543811 PMCID: PMC5854262 DOI: 10.1371/journal.pone.0193430] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2017] [Accepted: 02/09/2018] [Indexed: 11/18/2022] Open
Abstract
Predators sample the available prey community when foraging; thus, changes in the environment may be reflected by changes in predator diet and foraging preferences. We examined Forster’s tern (Sterna forsteri) prey species over an 11-year period by sampling approximately 10,000 prey fish returned to 17 breeding colonies in south San Francisco Bay, California. We compared the species composition among repeatedly-sampled colonies (≥ 4 years), using both relative species abundance and the composition of total dry mass by species. Overall, the relative abundances of prey species at seven repeatedly-sampled tern colonies were more different than would be expected by chance, with the most notable differences in relative abundance observed between geographically distant colonies. In general, Mississippi silverside (Menidia audens) and topsmelt silverside (Atherinops affinis) comprised 42% of individuals and 40% of dry fish mass over the study period. Three-spined stickleback (Gasterosteus aculeatus) comprised the next largest proportion of prey species by individuals (19%) but not by dry mass (6%). Five additional species each contributed ≥ 4% of total individuals collected over the study period: yellowfin goby (Acanthogobius flavimanus; 10%), longjaw mudsucker (Gillichthys mirabilis; 8%), Pacific herring (Clupea pallasii; 6%), northern anchovy (Engraulis mordax; 4%), and staghorn sculpin (Leptocottus armatus; 4%). At some colonies, the relative abundance and biomass of specific prey species changed over time. In general, the abundance and dry mass of silversides increased, whereas the abundance and dry mass of three-spined stickleback and longjaw mudsucker decreased. As central place foragers, Forster’s terns are limited in the distance they forage; thus, changes in the prey species returned to Forster’s tern colonies suggest that the relative availability of some fish species in the environment has changed, possibly in response to alteration of the available habitat.
Collapse
Affiliation(s)
- Sarah H. Peterson
- Dixon Field Station, Western Ecological Research Center, U.S. Geological Survey, Dixon, California, United States of America
- * E-mail:
| | - Joshua T. Ackerman
- Dixon Field Station, Western Ecological Research Center, U.S. Geological Survey, Dixon, California, United States of America
| | - Collin A. Eagles-Smith
- Forest and Rangeland Ecosystem Science Center, U.S. Geological Survey, Corvallis, Oregon, United States of America
| | - Mark P. Herzog
- Dixon Field Station, Western Ecological Research Center, U.S. Geological Survey, Dixon, California, United States of America
| | - C. Alex Hartman
- Dixon Field Station, Western Ecological Research Center, U.S. Geological Survey, Dixon, California, United States of America
| |
Collapse
|
23
|
Croston R, Ackerman JT, Herzog MP, Kohl JD, Hartman CA, Peterson SH, Overton CT, Feldheim CL, Casazza ML. Duck nest depredation, predator behavior, and female response using video. J Wildl Manage 2018. [DOI: 10.1002/jwmg.21444] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Rebecca Croston
- U.S. Geological Survey; Western Ecological Research Center; Dixon Field Station, 800 Business Park Drive, Suite D Dixon CA 95620 USA
| | - Joshua T. Ackerman
- U.S. Geological Survey; Western Ecological Research Center; Dixon Field Station, 800 Business Park Drive, Suite D Dixon CA 95620 USA
| | - Mark P. Herzog
- U.S. Geological Survey; Western Ecological Research Center; Dixon Field Station, 800 Business Park Drive, Suite D Dixon CA 95620 USA
| | - Jeffrey D. Kohl
- U.S. Geological Survey; Western Ecological Research Center; Dixon Field Station, 800 Business Park Drive, Suite D Dixon CA 95620 USA
| | - C. Alex Hartman
- U.S. Geological Survey; Western Ecological Research Center; Dixon Field Station, 800 Business Park Drive, Suite D Dixon CA 95620 USA
| | - Sarah H. Peterson
- U.S. Geological Survey; Western Ecological Research Center; Dixon Field Station, 800 Business Park Drive, Suite D Dixon CA 95620 USA
| | - Cory T. Overton
- U.S. Geological Survey; Western Ecological Research Center; Dixon Field Station, 800 Business Park Drive, Suite D Dixon CA 95620 USA
| | - Cliff L. Feldheim
- California Department of Water Resources; Suisun Marsh Program; 3500 Industrial Boulevard West Sacramento CA 95691 USA
| | - Michael L. Casazza
- U.S. Geological Survey; Western Ecological Research Center; Dixon Field Station, 800 Business Park Drive, Suite D Dixon CA 95620 USA
| |
Collapse
|
24
|
Ackerman JT, Hartman CA, Herzog MP. Maternal transfer of mercury to songbird eggs. Environ Pollut 2017; 230:463-468. [PMID: 28688298 DOI: 10.1016/j.envpol.2017.06.099] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/07/2017] [Revised: 06/07/2017] [Accepted: 06/28/2017] [Indexed: 06/07/2023]
Abstract
We evaluated the maternal transfer of mercury to eggs in songbirds, determined whether this relationship differed between songbird species, and developed equations for predicting mercury concentrations in eggs from maternal blood. We sampled blood and feathers from 44 house wren (Troglodytes aedon) and 34 tree swallow (Tachycineta bicolor) mothers and collected their full clutches (n = 476 eggs) within 3 days of clutch completion. Additionally, we sampled blood and feathers from 53 tree swallow mothers and randomly collected one egg from their clutches (n = 53 eggs) during mid to late incubation (6-10 days incubated) to evaluate whether the relationship varied with the timing of sampling the mother's blood. Mercury concentrations in eggs were positively correlated with mercury concentrations in maternal blood sampled at (1) the time of clutch completion for both house wrens (R2 = 0.97) and tree swallows (R2 = 0.97) and (2) during mid to late incubation for tree swallows (R2 = 0.71). The relationship between mercury concentrations in eggs and maternal blood did not differ with the stage of incubation when maternal blood was sampled. Importantly, the proportion of mercury transferred from mothers to their eggs decreased substantially with increasing blood mercury concentrations in tree swallows, but increased slightly with increasing blood mercury concentrations in house wrens. Additionally, the proportion of mercury transferred to eggs at the same maternal blood mercury concentration differed between species. Specifically, tree swallow mothers transferred 17%-107% more mercury to their eggs than house wren mothers over the observed mercury concentrations in maternal blood (0.15-1.92 μg/g ww). In contrast, mercury concentrations in eggs were not correlated with those in maternal feathers and, likewise, mercury concentrations in maternal blood were not correlated with those in feathers (all R2 < 0.01). We provide equations to translate mercury concentrations from maternal blood to eggs (and vice versa), which should facilitate comparisons among studies and help integrate toxicity benchmarks into a common tissue.
Collapse
Affiliation(s)
- Joshua T Ackerman
- U.S. Geological Survey, Western Ecological Research Center, Dixon Field Station, 800 Business Park Drive, Suite D, Dixon, CA 95620, United States.
| | - C Alex Hartman
- U.S. Geological Survey, Western Ecological Research Center, Dixon Field Station, 800 Business Park Drive, Suite D, Dixon, CA 95620, United States
| | - Mark P Herzog
- U.S. Geological Survey, Western Ecological Research Center, Dixon Field Station, 800 Business Park Drive, Suite D, Dixon, CA 95620, United States
| |
Collapse
|
25
|
Hartman CA, Ackerman JT, Herzog MP, Eagles-Smith CA. Season, molt, and body size influence mercury concentrations in grebes. Environ Pollut 2017; 229:29-39. [PMID: 28577380 DOI: 10.1016/j.envpol.2017.05.058] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/17/2017] [Revised: 04/12/2017] [Accepted: 05/17/2017] [Indexed: 05/12/2023]
Abstract
We studied seasonal and physiological influences on mercury concentrations in western grebes (Aechmophorus occidentalis) and Clark's grebes (A. occidentalis) across 29 lakes and reservoirs in California, USA. Additionally, at three of these lakes, we conducted a time series study, in which we repeatedly sampled grebe blood mercury concentrations during the spring, summer, and early fall. Grebe blood mercury concentrations were higher among males (0.61 ± 0.12 μg/g ww) than females (0.52 ± 0.10 μg/g ww), higher among Clark's grebes (0.58 ± 0.12 μg/g ww) than western grebes (0.51 ± 0.10 μg/g ww), and exhibited a strong seasonal pattern (decreasing by 60% from spring to fall). Grebe blood THg concentrations exhibited a shallow, inverse U-shaped pattern with body size, and was lowest among the smallest and largest grebes. Further, the relationship between grebe blood mercury concentrations and wing primary feather molt exhibited a shallow U-shaped pattern, where mercury concentrations were highest among birds that had not yet begun molting, decreased approximately 24% between pre-molt and late molt, and increased approximately 19% from late molt to post-molt. Because grebes did not begin molting until mid-summer, lower grebe blood mercury concentrations observed in late summer and early fall were consistent with the onset of primary feather molt. However, because sampling date was a much stronger predictor of grebe mercury concentrations than molt, other seasonally changing environmental factors likely played a larger role than molt in the seasonal variation in grebe mercury concentrations. In the time series study, we found that seasonal trends in grebe mercury concentrations were not consistent among lakes, indicating that lake-specific variation in mercury dynamics influence the overall seasonal decline in grebe blood mercury concentrations. These results highlight the importance of accounting for sampling date, as well as ecological processes that may influence mercury concentrations, when developing monitoring programs to assess site-specific exposure risk of mercury to wildlife.
Collapse
Affiliation(s)
- C Alex Hartman
- U.S. Geological Survey, Western Ecological Research Center, Dixon Field Station, 800 Business Park Drive, Suite D, Dixon, CA, 95620, USA.
| | - Joshua T Ackerman
- U.S. Geological Survey, Western Ecological Research Center, Dixon Field Station, 800 Business Park Drive, Suite D, Dixon, CA, 95620, USA
| | - Mark P Herzog
- U.S. Geological Survey, Western Ecological Research Center, Dixon Field Station, 800 Business Park Drive, Suite D, Dixon, CA, 95620, USA
| | - Collin A Eagles-Smith
- U.S. Geological Survey, Forest and Rangeland Ecosystem Science Center, 3200 SW Jefferson Way, Corvallis, OR, 97331, USA
| |
Collapse
|
26
|
Peterson SH, Ackerman JT, Eagles-Smith CA, Hartman CA, Herzog MP. A critical evaluation of the utility of eggshells for estimating mercury concentrations in avian eggs. Environ Toxicol Chem 2017; 36:2417-2427. [PMID: 28244613 DOI: 10.1002/etc.3777] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/27/2016] [Revised: 01/29/2017] [Accepted: 02/24/2017] [Indexed: 06/06/2023]
Abstract
Eggshells are a potential tool for nonlethally sampling contaminant concentrations in bird eggs, yet few studies have examined their utility to represent mercury exposure. We assessed mercury concentrations in eggshell components for 23 bird species and determined whether they correlated with total mercury (THg) in egg contents. We designed a multi-experiment analysis to examine how THg is partitioned into eggshell components, specifically hardened eggshells, material adhered to the eggshells, and inner eggshell membranes. The THg concentrations in eggshells were much lower than in egg contents, and almost all of the THg within the eggshell was contained within material adhered to eggshells and inner eggshell membranes, and specifically not within calcium-rich hardened eggshells. Despite very little mercury in hardened eggshells, THg concentrations in hardened eggshells had the strongest correlation with egg contents among all eggshell components. However, species with the same THg concentrations in eggshells had different THg concentrations in egg contents, indicating that there is no global predictive equation among species for the relationship between eggshell and egg content THg concentrations. Furthermore, for all species, THg concentrations in eggshells decreased with relative embryo age. Although the majority of mercury in eggshells was contained within other eggshell components and not within hardened eggshells, THg in hardened eggshells can be used to estimate THg concentrations in egg contents, if embryo age and species are addressed. Environ Toxicol Chem 2017;36:2417-2427. Published 2017 Wiley Periodicals Inc. on behalf of SETAC. This article is a US government work and, as such, is in the public domain in the United States of America.
Collapse
Affiliation(s)
- Sarah H Peterson
- Western Ecological Research Center, Dixon Field Station, US Geological Survey, Dixon, California
| | - Joshua T Ackerman
- Western Ecological Research Center, Dixon Field Station, US Geological Survey, Dixon, California
| | - Collin A Eagles-Smith
- Forest and Rangeland Ecosystem Science Center, US Geological Survey, Corvallis, Oregon
| | - C Alex Hartman
- Western Ecological Research Center, Dixon Field Station, US Geological Survey, Dixon, California
| | - Mark P Herzog
- Western Ecological Research Center, Dixon Field Station, US Geological Survey, Dixon, California
| |
Collapse
|
27
|
van der Meer D, Hoekstra PJ, van Donkelaar M, Bralten J, Oosterlaan J, Heslenfeld D, Faraone SV, Franke B, Buitelaar JK, Hartman CA. Predicting attention-deficit/hyperactivity disorder severity from psychosocial stress and stress-response genes: a random forest regression approach. Transl Psychiatry 2017; 7:e1145. [PMID: 28585928 PMCID: PMC5537639 DOI: 10.1038/tp.2017.114] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/28/2016] [Revised: 04/24/2017] [Accepted: 04/28/2017] [Indexed: 12/20/2022] Open
Abstract
Identifying genetic variants contributing to attention-deficit/hyperactivity disorder (ADHD) is complicated by the involvement of numerous common genetic variants with small effects, interacting with each other as well as with environmental factors, such as stress exposure. Random forest regression is well suited to explore this complexity, as it allows for the analysis of many predictors simultaneously, taking into account any higher-order interactions among them. Using random forest regression, we predicted ADHD severity, measured by Conners' Parent Rating Scales, from 686 adolescents and young adults (of which 281 were diagnosed with ADHD). The analysis included 17 374 single-nucleotide polymorphisms (SNPs) across 29 genes previously linked to hypothalamic-pituitary-adrenal (HPA) axis activity, together with information on exposure to 24 individual long-term difficulties or stressful life events. The model explained 12.5% of variance in ADHD severity. The most important SNP, which also showed the strongest interaction with stress exposure, was located in a region regulating the expression of telomerase reverse transcriptase (TERT). Other high-ranking SNPs were found in or near NPSR1, ESR1, GABRA6, PER3, NR3C2 and DRD4. Chronic stressors were more influential than single, severe, life events. Top hits were partly shared with conduct problems. We conclude that random forest regression may be used to investigate how multiple genetic and environmental factors jointly contribute to ADHD. It is able to implicate novel SNPs of interest, interacting with stress exposure, and may explain inconsistent findings in ADHD genetics. This exploratory approach may be best combined with more hypothesis-driven research; top predictors and their interactions with one another should be replicated in independent samples.
Collapse
Affiliation(s)
- D van der Meer
- Department of Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands,K.G. Jebsen Centre for Psychosis Research/Norwegian Centre for Mental Disorder Research (NORMENT), Institute of Clinical Medicine, University of Oslo, Oslo, Norway,Department of Psychiatry, University of Groningen, University Medical Center Groningen, PO Box 30001, 9700 RB Groningen, The Netherlands. E-mail:
| | - P J Hoekstra
- Department of Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - M van Donkelaar
- Department of Human Genetics and Psychiatry, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - J Bralten
- Department of Human Genetics and Psychiatry, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - J Oosterlaan
- Department of Clinical Neuropsychology, VU University Amsterdam, Amsterdam, The Netherlands
| | - D Heslenfeld
- Department of Clinical Neuropsychology, VU University Amsterdam, Amsterdam, The Netherlands
| | - S V Faraone
- Department of Psychiatry, SUNY Upstate Medical University, Syracuse, NY, USA,Department of Neuroscience and Physiology, SUNY Upstate Medical University, Syracuse, NY, USA,K.G. Jebsen Centre for Psychiatric Disorders, Department of Biomedicine, University of Bergen, Bergen, Norway
| | - B Franke
- Department of Human Genetics and Psychiatry, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - J K Buitelaar
- Karakter Child and Adolescent Psychiatry University Centre, Nijmegen, The Netherlands,Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - C A Hartman
- Department of Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| |
Collapse
|
28
|
Ormel J, Oerlemans AM, Raven D, Laceulle OM, Hartman CA, Veenstra R, Verhulst FC, Vollebergh W, Rosmalen JGM, Reijneveld SA, Oldehinkel AJ. Functional outcomes of child and adolescent mental disorders. Current disorder most important but psychiatric history matters as well. Psychol Med 2017; 47:1271-1282. [PMID: 28065168 DOI: 10.1017/s0033291716003445] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
BACKGROUND Various sources indicate that mental disorders are the leading contributor to the burden of disease among youth. An important determinant of functioning is current mental health status. This study investigated whether psychiatric history has additional predictive power when predicting individual differences in functional outcomes. METHOD We used data from the Dutch TRAILS study in which 1778 youths were followed from pre-adolescence into young adulthood (retention 80%). Of those, 1584 youths were successfully interviewed, at age 19, using the World Health Organization Composite International Diagnostic Interview (CIDI 3.0) to assess current and past CIDI-DSM-IV mental disorders. Four outcome domains were assessed at the same time: economic (e.g. academic achievement, social benefits, financial difficulties), social (early motherhood, interpersonal conflicts, antisocial behavior), psychological (e.g. suicidality, subjective well-being, loneliness), and health behavior (e.g. smoking, problematic alcohol, cannabis use). RESULTS Out of the 19 outcomes, 14 were predicted by both current and past disorders, three only by past disorders (receiving social benefits, psychiatric hospitalization, adolescent motherhood), and two only by current disorder (absenteeism, obesity). Which type of disorders was most important depended on the outcome. Adjusted for current disorder, past internalizing disorders predicted in particular psychological outcomes while externalizing disorders predicted in particular health behavior outcomes. Economic and social outcomes were predicted by a history of co-morbidity of internalizing and externalizing disorder. The risk of problematic cannabis use and alcohol consumption dropped with a history of internalizing disorder. CONCLUSION To understand current functioning, it is necessary to examine both current and past psychiatric status.
Collapse
Affiliation(s)
- J Ormel
- Department of Psychiatry,University of Groningen,University Medical Center Groningen,Interdisciplinary Center Psychopathology and Emotion Regulation (ICPE),Groningen,The Netherlands
| | - A M Oerlemans
- Department of Psychiatry,University of Groningen,University Medical Center Groningen,Interdisciplinary Center Psychopathology and Emotion Regulation (ICPE),Groningen,The Netherlands
| | - D Raven
- Department of Psychiatry,University of Groningen,University Medical Center Groningen,Interdisciplinary Center Psychopathology and Emotion Regulation (ICPE),Groningen,The Netherlands
| | - O M Laceulle
- Department of Psychiatry,University of Groningen,University Medical Center Groningen,Interdisciplinary Center Psychopathology and Emotion Regulation (ICPE),Groningen,The Netherlands
| | - C A Hartman
- Department of Psychiatry,University of Groningen,University Medical Center Groningen,Interdisciplinary Center Psychopathology and Emotion Regulation (ICPE),Groningen,The Netherlands
| | - R Veenstra
- Department of Sociology,University of Groningen,Groningen,The Netherlands
| | - F C Verhulst
- Department of Child and Adolescent Psychiatry & Psychology,Erasmus University Medical Center,Rotterdam,The Netherlands
| | - W Vollebergh
- Department of Interdisciplinary Social Science,University of Utrecht,Utrecht,The Netherlands
| | - J G M Rosmalen
- Department of Psychiatry,University of Groningen,University Medical Center Groningen,Interdisciplinary Center Psychopathology and Emotion Regulation (ICPE),Groningen,The Netherlands
| | - S A Reijneveld
- Department of Health Sciences,University of Groningen,University Medical Center Groningen,Groningen,The Netherlands
| | - A J Oldehinkel
- Department of Psychiatry,University of Groningen,University Medical Center Groningen,Interdisciplinary Center Psychopathology and Emotion Regulation (ICPE),Groningen,The Netherlands
| |
Collapse
|
29
|
Wanders RBK, van Loo HM, Vermunt JK, Meijer RR, Hartman CA, Schoevers RA, Wardenaar KJ, de Jonge P. Casting wider nets for anxiety and depression: disability-driven cross-diagnostic subtypes in a large cohort. Psychol Med 2016; 46:3371-3382. [PMID: 27624913 DOI: 10.1017/s0033291716002221] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
BACKGROUND In search of empirical classifications of depression and anxiety, most subtyping studies focus solely on symptoms and do so within a single disorder. This study aimed to identify and validate cross-diagnostic subtypes by simultaneously considering symptoms of depression and anxiety, and disability measures. METHOD A large cohort of adults (Lifelines, n = 73 403) had a full assessment of 16 symptoms of mood and anxiety disorders, and measurement of physical, social and occupational disability. The best-fitting subtyping model was identified by comparing different hybrid mixture models with and without disability covariates on fit criteria in an independent test sample. The best model's classes were compared across a range of external variables. RESULTS The best-fitting Mixed Measurement Item Response Theory model with disability covariates identified five classes. Accounting for disability improved differentiation between people reporting isolated non-specific symptoms ['Somatic' (13.0%), and 'Worried' (14.0%)] and psychopathological symptoms ['Subclinical' (8.8%), and 'Clinical' (3.3%)]. Classes showed distinct associations with clinically relevant external variables [e.g. somatization: odds ratio (OR) 8.1-12.3, and chronic stress: OR 3.7-4.4]. The Subclinical class reported symptomatology at subthreshold levels while experiencing disability. No pure depression or anxiety, but only mixed classes were found. CONCLUSIONS An empirical classification model, incorporating both symptoms and disability identified clearly distinct cross-diagnostic subtypes, indicating that diagnostic nets should be cast wider than current phenomenology-based categorical systems.
Collapse
Affiliation(s)
- R B K Wanders
- University of Groningen, University Medical Center Groningen,Interdisciplinary Center Psychopathology and Emotion regulation (ICPE),Groningen,The Netherlands
| | - H M van Loo
- University of Groningen, University Medical Center Groningen,Interdisciplinary Center Psychopathology and Emotion regulation (ICPE),Groningen,The Netherlands
| | - J K Vermunt
- Department of Methodology and Statistics,Tilburg University,Tilburg,The Netherlands
| | - R R Meijer
- Department of Psychometrics and Statistics,University of Groningen,Groningen,The Netherlands
| | - C A Hartman
- Department of Psychiatry,University of Groningen, University Medical Center Groningen,Groningen,The Netherlands
| | - R A Schoevers
- Department of Psychiatry,University of Groningen, University Medical Center Groningen,Groningen,The Netherlands
| | - K J Wardenaar
- University of Groningen, University Medical Center Groningen,Interdisciplinary Center Psychopathology and Emotion regulation (ICPE),Groningen,The Netherlands
| | - P de Jonge
- University of Groningen, University Medical Center Groningen,Interdisciplinary Center Psychopathology and Emotion regulation (ICPE),Groningen,The Netherlands
| |
Collapse
|
30
|
Ackerman JT, Eagles-Smith CA, Herzog MP, Hartman CA, Peterson SH, Evers DC, Jackson AK, Elliott JE, Vander Pol SS, Bryan CE. Avian mercury exposure and toxicological risk across western North America: A synthesis. Sci Total Environ 2016; 568:749-769. [PMID: 27093907 PMCID: PMC5365029 DOI: 10.1016/j.scitotenv.2016.03.071] [Citation(s) in RCA: 157] [Impact Index Per Article: 19.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/30/2015] [Revised: 03/10/2016] [Accepted: 03/11/2016] [Indexed: 05/20/2023]
Abstract
Methylmercury contamination of the environment is an important issue globally, and birds are useful bioindicators for mercury monitoring programs. The available data on mercury contamination of birds in western North America were synthesized. Original data from multiple databases were obtained and a literature review was conducted to obtain additional mercury concentrations. In total, 29219 original bird mercury concentrations from 225 species were compiled, and an additional 1712 mean mercury concentrations, representing 19998 individuals and 176 species, from 200 publications were obtained. To make mercury data comparable across bird tissues, published equations of tissue mercury correlations were used to convert all mercury concentrations into blood-equivalent mercury concentrations. Blood-equivalent mercury concentrations differed among species, foraging guilds, habitat types, locations, and ecoregions. Piscivores and carnivores exhibited the greatest mercury concentrations, whereas herbivores and granivores exhibited the lowest mercury concentrations. Bird mercury concentrations were greatest in ocean and salt marsh habitats and lowest in terrestrial habitats. Bird mercury concentrations were above toxicity benchmarks in many areas throughout western North America, and multiple hotspots were identified. Additionally, published toxicity benchmarks established in multiple tissues were summarized and translated into a common blood-equivalent mercury concentration. Overall, 66% of birds sampled in western North American exceeded a blood-equivalent mercury concentration of 0.2 μg/g wet weight (ww; above background levels), which is the lowest-observed effect level, 28% exceeded 1.0 μg/g ww (moderate risk), 8% exceeded 3.0 μg/g ww (high risk), and 4% exceeded 4.0 μg/g ww (severe risk). Mercury monitoring programs should sample bird tissues, such as adult blood and eggs, that are most-easily translated into tissues with well-developed toxicity benchmarks and that are directly relevant to bird reproduction. Results indicate that mercury contamination of birds is prevalent in many areas throughout western North America, and large-scale ecological attributes are important factors influencing bird mercury concentrations.
Collapse
Affiliation(s)
- Joshua T Ackerman
- U.S. Geological Survey, Western Ecological Research Center, Dixon Field Station, 800 Business Park Drive, Suite D, Dixon, California 95620, United States.
| | - Collin A Eagles-Smith
- U.S. Geological Survey, Forest and Rangeland Ecosystem Science Center, 3200 SW Jefferson Way, Corvallis, Oregon, 97331, United States
| | - Mark P Herzog
- U.S. Geological Survey, Western Ecological Research Center, Dixon Field Station, 800 Business Park Drive, Suite D, Dixon, California 95620, United States
| | - C Alex Hartman
- U.S. Geological Survey, Western Ecological Research Center, Dixon Field Station, 800 Business Park Drive, Suite D, Dixon, California 95620, United States
| | - Sarah H Peterson
- U.S. Geological Survey, Western Ecological Research Center, Dixon Field Station, 800 Business Park Drive, Suite D, Dixon, California 95620, United States
| | - David C Evers
- Biodiversity Research Institute, 276 Canco Road, Portland, Maine, 04103, United States
| | - Allyson K Jackson
- Oregon State University, Department of Fisheries and Wildlife, 104 Nash Hall, Corvallis, Oregon, 97331, United States
| | - John E Elliott
- Environment Canada, Science and Technology Branch, Pacific Wildlife Research Centre, Delta, British Columbia, V4K 3N2, Canada
| | - Stacy S Vander Pol
- National Institute of Standards and Technology, Chemical Sciences Division, Hollings Marine Laboratory, 331 Fort Johnson Road, Charleston, South Carolina, 29412, United States
| | - Colleen E Bryan
- National Institute of Standards and Technology, Chemical Sciences Division, Hollings Marine Laboratory, 331 Fort Johnson Road, Charleston, South Carolina, 29412, United States
| |
Collapse
|
31
|
van der Meer D, Hoekstra PJ, Bralten J, van Donkelaar M, Heslenfeld DJ, Oosterlaan J, Faraone SV, Franke B, Buitelaar JK, Hartman CA. Interplay between stress response genes associated with attention-deficit hyperactivity disorder and brain volume. Genes Brain Behav 2016; 15:627-36. [PMID: 27391809 DOI: 10.1111/gbb.12307] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/21/2016] [Revised: 06/15/2016] [Accepted: 07/06/2016] [Indexed: 12/16/2022]
Abstract
The glucocorticoid receptor plays a pivotal role in the brain's response to stress; a haplotype of functional polymorphisms in the NR3C1 gene encoding this receptor has been associated with attention-deficit hyperactivity disorder (ADHD). The serotonin transporter (5-HTT) gene polymorphism 5-HTTLPR is known to influence the relation between stress exposure and ADHD severity, which may be partly because of its reported effects on glucocorticoid levels. We therefore investigated if NR3C1 moderates the relation of stress exposure with ADHD severity and brain structure, and the potential role of 5-HTTLPR. Neuroimaging, genetic and stress exposure questionnaire data were available for 539 adolescents and young adults participating in the multicenter ADHD cohort study NeuroIMAGE (average age: 17.2 years). We estimated the effects of genetic variation in NR3C1 and 5-HTT, stress exposure and their interactions on ADHD symptom count and gray matter volume. We found that individuals carrying the ADHD risk haplotype of NR3C1 showed significantly more positive relation between stress exposure and ADHD severity than non-carriers. This gene-environment interaction was significantly stronger for 5-HTTLPR L-allele homozygotes than for S-allele carriers. These two- and three-way interactions were reflected in the gray matter volume of the cerebellum, parahippocampal gyrus, intracalcarine cortex and angular gyrus. Our findings illustrate how genetic variation in the stress response pathway may influence the effects of stress exposure on ADHD severity and brain structure. The reported interplay between NR3C1 and 5-HTT may further explain some of the heterogeneity between studies regarding the role of these genes and hypothalamic-pituitary-adrenal axis activity in ADHD.
Collapse
Affiliation(s)
- D van der Meer
- Department of Child and Adolescent Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands. .,Centre for Cognitive Neuroimaging, Radboud University Medical Center, Nijmegen, the Netherlands.
| | - P J Hoekstra
- Department of Child and Adolescent Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - J Bralten
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
| | - M van Donkelaar
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
| | - D J Heslenfeld
- Clinical Neuropsychology Section, VU University Amsterdam, Amsterdam, the Netherlands
| | - J Oosterlaan
- Clinical Neuropsychology Section, VU University Amsterdam, Amsterdam, the Netherlands
| | - S V Faraone
- Department of Psychiatry, SUNY Upstate Medical University, Syracuse, NY, USA.,Department of Neuroscience and Physiology, SUNY Upstate Medical University, Syracuse, NY, USA.,K.G. Jebsen Centre for Research on Neuropsychiatric Disorders, University of Bergen, Bergen, Norway
| | - B Franke
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
| | - J K Buitelaar
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre.,Karakter Child and Adolescent Psychiatry University Centre, Nijmegen, the Netherlands
| | - C A Hartman
- Department of Child and Adolescent Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| |
Collapse
|
32
|
Affiliation(s)
- C. Alex Hartman
- U.S. Geological Survey; Western Ecological Research Center; Dixon Field Station, 800 Business Park Drive, Suite D Dixon CA 95620 USA
| | - Joshua T. Ackerman
- U.S. Geological Survey; Western Ecological Research Center; Dixon Field Station, 800 Business Park Drive, Suite D Dixon CA 95620 USA
| | - Mark P. Herzog
- U.S. Geological Survey; Western Ecological Research Center; Dixon Field Station, 800 Business Park Drive, Suite D Dixon CA 95620 USA
| |
Collapse
|
33
|
Hartman CA, Ackerman JT, Takekawa JY, Herzog MP. Waterbird nest-site selection is influenced by neighboring nests and island topography. J Wildl Manage 2016. [DOI: 10.1002/jwmg.21105] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- C. Alex Hartman
- U.S. Geological Survey; Western Ecological Research Center; Dixon Field Station, 800 Business Park Drive, Suite D Dixon CA 95620 USA
| | - Joshua T. Ackerman
- U.S. Geological Survey; Western Ecological Research Center; Dixon Field Station, 800 Business Park Drive, Suite D Dixon CA 95620 USA
| | - John Y. Takekawa
- U.S. Geological Survey; Western Ecological Research Center; San Francisco Bay Estuary Field Station, 505 Azuar Drive Vallejo CA 94592 USA
| | - Mark P. Herzog
- U.S. Geological Survey; Western Ecological Research Center; Dixon Field Station, 800 Business Park Drive, Suite D Dixon CA 95620 USA
| |
Collapse
|
34
|
Ackerman JT, Eagles-Smith CA, Herzog MP, Yee JL, Hartman CA. Egg-laying sequence influences egg mercury concentrations and egg size in three bird species: Implications for contaminant monitoring programs. Environ Toxicol Chem 2016; 35:1458-1469. [PMID: 26505635 DOI: 10.1002/etc.3291] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/18/2015] [Revised: 10/11/2015] [Accepted: 10/23/2015] [Indexed: 06/05/2023]
Abstract
Bird eggs are commonly used in contaminant monitoring programs and toxicological risk assessments, but intraclutch variation and sampling methodology could influence interpretability. The authors examined the influence of egg-laying sequence on egg mercury concentrations and burdens in American avocets, black-necked stilts, and Forster's terns. The average decline in mercury concentrations between the first and last eggs laid was 33% for stilts, 22% for terns, and 11% for avocets, and most of this decline occurred between the first and second eggs laid (24% for stilts, 18% for terns, and 9% for avocets). Trends in egg size with egg-laying order were inconsistent among species, and overall differences in egg volume, mass, length, and width were <3%. The authors summarized the literature, and among 17 species studied, mercury concentrations generally declined by 16% between the first and second eggs laid. Despite the strong effect of egg-laying sequence, most of the variance in egg mercury concentrations still occurred among clutches (75-91%) rather than within clutches (9%-25%). Using simulations, the authors determined that accurate estimation of a population's mean egg mercury concentration using only a single random egg from a subset of nests would require sampling >60 nests to represent a large population (10% accuracy) or ≥14 nests to represent a small colony that contained <100 nests (20% accuracy). Environ Toxicol Chem 2016;35:1458-1469. Published 2015 Wiley Periodicals Inc. on behalf of SETAC. This article is a US Government work and, as such, is in the public domain in the United States of America.
Collapse
Affiliation(s)
- Joshua T Ackerman
- US Geological Survey, Western Ecological Research Center, Dixon Field Station, Dixon, California
| | - Collin A Eagles-Smith
- US Geological Survey, Forest and Rangeland Ecosystem Science Center, Corvallis, Oregon
| | - Mark P Herzog
- US Geological Survey, Western Ecological Research Center, Dixon Field Station, Dixon, California
| | - Julie L Yee
- US Geological Survey, Western Ecological Research Center, Dixon Field Station, Dixon, California
| | - C Alex Hartman
- US Geological Survey, Western Ecological Research Center, Dixon Field Station, Dixon, California
| |
Collapse
|
35
|
Herzog MP, Ackerman JT, Eagles-Smith CA, Hartman CA. It's what's inside that counts: egg contaminant concentrations are influenced by estimates of egg density, egg volume, and fresh egg mass. Ecotoxicology 2016; 25:770-776. [PMID: 26932462 DOI: 10.1007/s10646-016-1635-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 02/16/2016] [Indexed: 06/05/2023]
Abstract
In egg contaminant studies, it is necessary to calculate egg contaminant concentrations on a fresh wet weight basis and this requires accurate estimates of egg density and egg volume. We show that the inclusion or exclusion of the eggshell can influence egg contaminant concentrations, and we provide estimates of egg density (both with and without the eggshell) and egg-shape coefficients (used to estimate egg volume from egg morphometrics) for American avocet (Recurvirostra americana), black-necked stilt (Himantopus mexicanus), and Forster's tern (Sterna forsteri). Egg densities (g/cm(3)) estimated for whole eggs (1.056 ± 0.003) were higher than egg densities estimated for egg contents (1.024 ± 0.001), and were 1.059 ± 0.001 and 1.025 ± 0.001 for avocets, 1.056 ± 0.001 and 1.023 ± 0.001 for stilts, and 1.053 ± 0.002 and 1.025 ± 0.002 for terns. The egg-shape coefficients for egg volume (K v ) and egg mass (K w ) also differed depending on whether the eggshell was included (K v = 0.491 ± 0.001; K w = 0.518 ± 0.001) or excluded (K v = 0.493 ± 0.001; K w = 0.505 ± 0.001), and varied among species. Although egg contaminant concentrations are rarely meant to include the eggshell, we show that the typical inclusion of the eggshell in egg density and egg volume estimates results in egg contaminant concentrations being underestimated by 6-13 %. Our results demonstrate that the inclusion of the eggshell significantly influences estimates of egg density, egg volume, and fresh egg mass, which leads to egg contaminant concentrations that are biased low. We suggest that egg contaminant concentrations be calculated on a fresh wet weight basis using only internal egg-content densities, volumes, and masses appropriate for the species. For the three waterbirds in our study, these corrected coefficients are 1.024 ± 0.001 for egg density, 0.493 ± 0.001 for K v , and 0.505 ± 0.001 for K w .
Collapse
Affiliation(s)
- Mark P Herzog
- Western Ecological Research Center, Dixon Field Station, U.S. Geological Survey, 800 Business Park Drive, Suite D, Dixon, CA, 95620, USA.
| | - Joshua T Ackerman
- Western Ecological Research Center, Dixon Field Station, U.S. Geological Survey, 800 Business Park Drive, Suite D, Dixon, CA, 95620, USA
| | - Collin A Eagles-Smith
- Forest and Rangeland Ecosystem Science Center, U.S. Geological Survey, 3200 SW Jefferson Way, Corvallis, OR, 97331, USA
| | - C Alex Hartman
- Western Ecological Research Center, Dixon Field Station, U.S. Geological Survey, 800 Business Park Drive, Suite D, Dixon, CA, 95620, USA
| |
Collapse
|
36
|
Richards JS, Arias Vásquez A, von Rhein D, van der Meer D, Franke B, Hoekstra PJ, Heslenfeld DJ, Oosterlaan J, Faraone SV, Buitelaar JK, Hartman CA. Adolescent behavioral and neural reward sensitivity: a test of the differential susceptibility theory. Transl Psychiatry 2016; 6:e771. [PMID: 27045841 PMCID: PMC4872395 DOI: 10.1038/tp.2016.37] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/26/2015] [Revised: 02/09/2016] [Accepted: 02/11/2016] [Indexed: 12/27/2022] Open
Abstract
Little is known about the causes of individual differences in reward sensitivity. We investigated gene-environment interactions (GxE) on behavioral and neural measures of reward sensitivity, in light of the differential susceptibility theory. This theory states that individuals carrying plasticity gene variants will be more disadvantaged in negative, but more advantaged in positive environments. Reward responses were assessed during a monetary incentive delay task in 178 participants with and 265 without attention-deficit/hyperactivity disorder (ADHD), from N=261 families. We examined interactions between variants in candidate plasticity genes (DAT1, 5-HTT and DRD4) and social environments (maternal expressed emotion and peer affiliation). HTTLPR short allele carriers showed the least reward speeding when exposed to high positive peer affiliation, but the most when faced with low positive peer affiliation or low maternal warmth. DAT1 10-repeat homozygotes displayed similar GxE patterns toward maternal warmth on general task performance. At the neural level, DRD4 7-repeat carriers showed the least striatal activation during reward anticipation when exposed to high maternal warmth, but the most when exposed to low warmth. Findings were independent of ADHD severity. Our results partially confirm the differential susceptibility theory and indicate the importance of positive social environments in reward sensitivity and general task performance for persons with specific genotypes.
Collapse
Affiliation(s)
- J S Richards
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands,Karakter Child and Adolescent Psychiatry University Centre, Nijmegen, The Netherlands,Karakter Child and Adolescent Psychiatry University Centre, Reinier Postlaan 12, 6525 GC Nijmegen, The Netherlands. E-mail:
| | - A Arias Vásquez
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands,Department of Psychiatry, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
| | - D von Rhein
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
| | - D van der Meer
- Department of Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - B Franke
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands,Department of Psychiatry, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
| | - P J Hoekstra
- Department of Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - D J Heslenfeld
- Department of Clinical Neuropsychology, VU University Amsterdam, Amsterdam, The Netherlands
| | - J Oosterlaan
- Department of Clinical Neuropsychology, VU University Amsterdam, Amsterdam, The Netherlands
| | - S V Faraone
- Departments of Psychiatry and of Neuroscience and Physiology, SUNY Upstate Medical University, Syracuse, NY, USA
| | - J K Buitelaar
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands,Karakter Child and Adolescent Psychiatry University Centre, Nijmegen, The Netherlands
| | - C A Hartman
- Department of Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| |
Collapse
|
37
|
Stringer S, Minică CC, Verweij KJH, Mbarek H, Bernard M, Derringer J, van Eijk KR, Isen JD, Loukola A, Maciejewski DF, Mihailov E, van der Most PJ, Sánchez-Mora C, Roos L, Sherva R, Walters R, Ware JJ, Abdellaoui A, Bigdeli TB, Branje SJT, Brown SA, Bruinenberg M, Casas M, Esko T, Garcia-Martinez I, Gordon SD, Harris JM, Hartman CA, Henders AK, Heath AC, Hickie IB, Hickman M, Hopfer CJ, Hottenga JJ, Huizink AC, Irons DE, Kahn RS, Korhonen T, Kranzler HR, Krauter K, van Lier PAC, Lubke GH, Madden PAF, Mägi R, McGue MK, Medland SE, Meeus WHJ, Miller MB, Montgomery GW, Nivard MG, Nolte IM, Oldehinkel AJ, Pausova Z, Qaiser B, Quaye L, Ramos-Quiroga JA, Richarte V, Rose RJ, Shin J, Stallings MC, Stiby AI, Wall TL, Wright MJ, Koot HM, Paus T, Hewitt JK, Ribasés M, Kaprio J, Boks MP, Snieder H, Spector T, Munafò MR, Metspalu A, Gelernter J, Boomsma DI, Iacono WG, Martin NG, Gillespie NA, Derks EM, Vink JM. Genome-wide association study of lifetime cannabis use based on a large meta-analytic sample of 32 330 subjects from the International Cannabis Consortium. Transl Psychiatry 2016; 6:e769. [PMID: 27023175 PMCID: PMC4872459 DOI: 10.1038/tp.2016.36] [Citation(s) in RCA: 110] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/11/2015] [Accepted: 12/21/2015] [Indexed: 01/15/2023] Open
Abstract
Cannabis is the most widely produced and consumed illicit psychoactive substance worldwide. Occasional cannabis use can progress to frequent use, abuse and dependence with all known adverse physical, psychological and social consequences. Individual differences in cannabis initiation are heritable (40-48%). The International Cannabis Consortium was established with the aim to identify genetic risk variants of cannabis use. We conducted a meta-analysis of genome-wide association data of 13 cohorts (N=32 330) and four replication samples (N=5627). In addition, we performed a gene-based test of association, estimated single-nucleotide polymorphism (SNP)-based heritability and explored the genetic correlation between lifetime cannabis use and cigarette use using LD score regression. No individual SNPs reached genome-wide significance. Nonetheless, gene-based tests identified four genes significantly associated with lifetime cannabis use: NCAM1, CADM2, SCOC and KCNT2. Previous studies reported associations of NCAM1 with cigarette smoking and other substance use, and those of CADM2 with body mass index, processing speed and autism disorders, which are phenotypes previously reported to be associated with cannabis use. Furthermore, we showed that, combined across the genome, all common SNPs explained 13-20% (P<0.001) of the liability of lifetime cannabis use. Finally, there was a strong genetic correlation (rg=0.83; P=1.85 × 10(-8)) between lifetime cannabis use and lifetime cigarette smoking implying that the SNP effect sizes of the two traits are highly correlated. This is the largest meta-analysis of cannabis GWA studies to date, revealing important new insights into the genetic pathways of lifetime cannabis use. Future functional studies should explore the impact of the identified genes on the biological mechanisms of cannabis use.
Collapse
Affiliation(s)
- S Stringer
- Department of Complex Trait Genetics, VU Amsterdam, Center for Neurogenomics and Cognitive Research, Amsterdam, The Netherlands
- Department of Psychiatry, Academic Medical Centre, Amsterdam, The Netherlands
| | - C C Minică
- Department of Biological Psychology/Netherlands Twin Register, VU University, Amsterdam, The Netherlands
| | - K J H Verweij
- Department of Biological Psychology/Netherlands Twin Register, VU University, Amsterdam, The Netherlands
- Neuroscience Campus Amsterdam, Amsterdam, The Netherlands
- Department of Developmental Psychology and EMGO Institute for Health and Care Research, VU University, Amsterdam, The Netherlands
| | - H Mbarek
- Department of Biological Psychology/Netherlands Twin Register, VU University, Amsterdam, The Netherlands
| | - M Bernard
- The Hospital for Sick Children Research Institute, Toronto, Canada
| | - J Derringer
- Department of Psychology, University of Illinois Urbana-Champaign, Champaign, IL, USA
| | - K R van Eijk
- Department of Human Neurogenetics, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - J D Isen
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - A Loukola
- Department of Public Health, Hjelt Institute, University of Helsinki, Helsinki, Finland
| | - D F Maciejewski
- Department of Developmental Psychology and EMGO Institute for Health and Care Research, VU University, Amsterdam, The Netherlands
| | - E Mihailov
- Estonian Genome Center, University of Tartu, Tartu, Estonia
| | - P J van der Most
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - C Sánchez-Mora
- Psychiatric Genetics Unit, Vall d'Hebron Research Institute (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain
- Department of Psychiatry, Hospital Universitari Vall d'Hebron, Barcelona, Spain
- Biomedical Network Research Centre on Mental Health (CIBERSAM), Barcelona, Spain
| | - L Roos
- Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - R Sherva
- Biomedical Genetics Department, Boston University School of Medicine, Boston, MA, USA
| | - R Walters
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - J J Ware
- School of Social and Community Medicine, University of Bristol, Bristol, UK
- MRC Integrative Epidemiology Unit (IEU), University of Bristol, Bristol, UK
| | - A Abdellaoui
- Department of Biological Psychology/Netherlands Twin Register, VU University, Amsterdam, The Netherlands
| | - T B Bigdeli
- Department of Psychiatry, Virginia Institute for Psychiatric and Behavior Genetics, Virginia Commonwealth University, Richmond, VA, USA
| | - S J T Branje
- Research Centre Adolescent Development, Utrecht University, Utrecht, The Netherlands
| | - S A Brown
- Department of Psychology and Psychiatry, University of California San Diego, La Jolla, CA, USA
| | - M Bruinenberg
- The LifeLines Cohort Study, University of Groningen, Groningen, The Netherlands
| | - M Casas
- Department of Psychiatry, Hospital Universitari Vall d'Hebron, Barcelona, Spain
- Biomedical Network Research Centre on Mental Health (CIBERSAM), Barcelona, Spain
- Department of Psychiatry and Legal Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - T Esko
- Estonian Genome Center, University of Tartu, Tartu, Estonia
| | - I Garcia-Martinez
- Psychiatric Genetics Unit, Vall d'Hebron Research Institute (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain
- Department of Psychiatry, Hospital Universitari Vall d'Hebron, Barcelona, Spain
| | - S D Gordon
- Genetic Epidemiology, Molecular Epidemiology and Neurogenetics Laboratories, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - J M Harris
- Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - C A Hartman
- Department of Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - A K Henders
- Genetic Epidemiology, Molecular Epidemiology and Neurogenetics Laboratories, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - A C Heath
- Department of Psychiatry, Washington University School of Medicine, St Louis, MO, USA
| | - I B Hickie
- Brain and Mind Research Institute, University of Sydney, Sydney, NSW, Australia
| | - M Hickman
- School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - C J Hopfer
- Department of Psychiatry, University of Colorado Denver, Aurora, CO, USA
| | - J J Hottenga
- Department of Biological Psychology/Netherlands Twin Register, VU University, Amsterdam, The Netherlands
| | - A C Huizink
- Department of Developmental Psychology and EMGO Institute for Health and Care Research, VU University, Amsterdam, The Netherlands
| | - D E Irons
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - R S Kahn
- Department of Human Neurogenetics, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - T Korhonen
- Department of Public Health, Hjelt Institute, University of Helsinki, Helsinki, Finland
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland
- Department of Mental Health and Substance Abuse Services, National Institute for Health and Welfare, Helsinki, Finland
| | - H R Kranzler
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - K Krauter
- Department of Molecular, Cellular and Developmental Biology, University of Colorado Boulder, Boulder, CO, USA
| | - P A C van Lier
- Department of Developmental Psychology and EMGO Institute for Health and Care Research, VU University, Amsterdam, The Netherlands
| | - G H Lubke
- Department of Biological Psychology/Netherlands Twin Register, VU University, Amsterdam, The Netherlands
- Department of Psychology, University of Notre Dame, Notre Dame, IN, USA
| | - P A F Madden
- Department of Psychiatry, Washington University School of Medicine, St Louis, MO, USA
| | - R Mägi
- Estonian Genome Center, University of Tartu, Tartu, Estonia
| | - M K McGue
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - S E Medland
- Genetic Epidemiology, Molecular Epidemiology and Neurogenetics Laboratories, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - W H J Meeus
- Research Centre Adolescent Development, Utrecht University, Utrecht, The Netherlands
- Developmental Psychology, Tilburg University, Tilburg, The Netherlands
| | - M B Miller
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - G W Montgomery
- Genetic Epidemiology, Molecular Epidemiology and Neurogenetics Laboratories, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - M G Nivard
- Department of Biological Psychology/Netherlands Twin Register, VU University, Amsterdam, The Netherlands
| | - I M Nolte
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - A J Oldehinkel
- Interdisciplinary Center for Pathology and Emotion Regulation, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Z Pausova
- The Hospital for Sick Children Research Institute, Toronto, Canada
- Department of Physiology and Nutritional Sciences, University of Toronto, Toronto, ON, Canada
| | - B Qaiser
- Department of Public Health, Hjelt Institute, University of Helsinki, Helsinki, Finland
| | - L Quaye
- Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - J A Ramos-Quiroga
- Department of Psychiatry, Hospital Universitari Vall d'Hebron, Barcelona, Spain
- Biomedical Network Research Centre on Mental Health (CIBERSAM), Barcelona, Spain
- Department of Psychiatry and Legal Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - V Richarte
- Department of Psychiatry, Hospital Universitari Vall d'Hebron, Barcelona, Spain
| | - R J Rose
- Department of Psychological and Brain Sciences, Indiana University Bloomington, Bloomington, IN, USA
| | - J Shin
- The Hospital for Sick Children Research Institute, Toronto, Canada
| | - M C Stallings
- Department of Psychology and Neuroscience, Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA
| | - A I Stiby
- School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - T L Wall
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
| | - M J Wright
- Genetic Epidemiology, Molecular Epidemiology and Neurogenetics Laboratories, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - H M Koot
- Department of Developmental Psychology and EMGO Institute for Health and Care Research, VU University, Amsterdam, The Netherlands
| | - T Paus
- Rotman Research Institute, Baycrest, Toronto, ON, Canada
- Department of Psychology and Psychiatry, University of Toronto, Toronto, ON, Canada
- Center for the Developing Brain, Child Mind Institute, New York, NY, USA
| | - J K Hewitt
- Department of Psychology and Neuroscience, Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA
| | - M Ribasés
- Psychiatric Genetics Unit, Vall d'Hebron Research Institute (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain
- Department of Psychiatry, Hospital Universitari Vall d'Hebron, Barcelona, Spain
- Biomedical Network Research Centre on Mental Health (CIBERSAM), Barcelona, Spain
| | - J Kaprio
- Department of Public Health, Hjelt Institute, University of Helsinki, Helsinki, Finland
- Department of Mental Health and Substance Abuse Services, National Institute for Health and Welfare, Helsinki, Finland
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
| | - M P Boks
- Department of Human Neurogenetics, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - H Snieder
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - T Spector
- Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - M R Munafò
- School of Social and Community Medicine, University of Bristol, Bristol, UK
- UK Centre for Tobacco and Alcohol Studies and School of Experimental Psychology, University of Bristol, Bristol, UK
| | - A Metspalu
- Estonian Genome Center, University of Tartu, Tartu, Estonia
| | - J Gelernter
- Department of Psychiatry, Genetics, and Neurobiology, Yale University School of Medicine and VA CT, West Haven, CT, USA
| | - D I Boomsma
- Department of Biological Psychology/Netherlands Twin Register, VU University, Amsterdam, The Netherlands
- Neuroscience Campus Amsterdam, Amsterdam, The Netherlands
| | - W G Iacono
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - N G Martin
- Genetic Epidemiology, Molecular Epidemiology and Neurogenetics Laboratories, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - N A Gillespie
- Department of Psychiatry, Virginia Institute for Psychiatric and Behavior Genetics, Virginia Commonwealth University, Richmond, VA, USA
- Genetic Epidemiology, Molecular Epidemiology and Neurogenetics Laboratories, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - E M Derks
- Department of Psychiatry, Academic Medical Centre, Amsterdam, The Netherlands
| | - J M Vink
- Department of Biological Psychology/Netherlands Twin Register, VU University, Amsterdam, The Netherlands
- Behavioural Science Institute, Radboud University, Nijmegen, The Netherlands
| |
Collapse
|
38
|
Ackerman JT, Eagles-Smith CA, Herzog MP, Hartman CA. Maternal transfer of contaminants in birds: Mercury and selenium concentrations in parents and their eggs. Environ Pollut 2016; 210:145-154. [PMID: 26708769 DOI: 10.1016/j.envpol.2015.12.016] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/21/2015] [Revised: 12/07/2015] [Accepted: 12/08/2015] [Indexed: 06/05/2023]
Abstract
We conducted a detailed assessment of the maternal transfer of mercury and selenium to eggs in three bird species (n = 107 parents and n = 339 eggs), and developed predictive equations linking contaminant concentrations in eggs to those in six tissues of the mother (blood, muscle, liver, kidney, breast feathers, and head feathers). Mercury concentrations in eggs were positively correlated with mercury concentrations in each of the mother's internal tissues (R(2) ≥ 0.95), but generally not with feathers. For each species, the proportion of mercury transferred to eggs decreased as mercury concentrations in the mother increased. At the same maternal mercury concentration, the proportion of mercury transferred to eggs differed among species, such that Forster's tern (Sterna forsteri) and black-necked stilt (Himantopus mexicanus) females transferred more methylmercury to their eggs than American avocet (Recurvirostra americana) females. Selenium concentrations in eggs also were correlated with selenium concentrations in the mother's liver (R(2) = 0.87). Furthermore, mercury and selenium concentrations in tern eggs were positively correlated with those in the father (R(2) = 0.84). Incubating male terns had 21% higher mercury concentrations in blood compared to incubating females at the same egg mercury concentration. We provide equations to predict contaminant concentrations in eggs from each of the commonly sampled bird tissues.
Collapse
Affiliation(s)
- Joshua T Ackerman
- U.S. Geological Survey, Western Ecological Research Center, Dixon Field Station, 800 Business Park Drive, Suite D, Dixon, CA 95620, United States.
| | - Collin A Eagles-Smith
- U.S. Geological Survey, Forest and Rangeland Ecosystem Science Center, 3200 SW Jefferson Way, Corvallis, OR 97331, United States
| | - Mark P Herzog
- U.S. Geological Survey, Western Ecological Research Center, Dixon Field Station, 800 Business Park Drive, Suite D, Dixon, CA 95620, United States
| | - C Alex Hartman
- U.S. Geological Survey, Western Ecological Research Center, Dixon Field Station, 800 Business Park Drive, Suite D, Dixon, CA 95620, United States
| |
Collapse
|
39
|
Ackerman JT, Hartman CA, Eagles-Smith CA, Herzog MP, Davis J, Ichikawa G, Bonnema A. Estimating Mercury Exposure of Piscivorous Birds and Sport Fish Using Prey Fish Monitoring. Environ Sci Technol 2015; 49:13596-13604. [PMID: 26449260 DOI: 10.1021/acs.est.5b02691] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/05/2023]
Abstract
Methylmercury is a global pollutant of aquatic ecosystems, and monitoring programs need tools to predict mercury exposure of wildlife. We developed equations to estimate methylmercury exposure of piscivorous birds and sport fish using mercury concentrations in prey fish. We collected original data on western grebes (Aechmophorus occidentalis) and Clark's grebes (Aechmophorus clarkii) and summarized the published literature to generate predictive equations specific to grebes and a general equation for piscivorous birds. We measured mercury concentrations in 354 grebes (blood averaged 1.06 ± 0.08 μg/g ww), 101 grebe eggs, 230 sport fish (predominantly largemouth bass and rainbow trout), and 505 prey fish (14 species) at 25 lakes throughout California. Mercury concentrations in grebe blood, grebe eggs, and sport fish were strongly related to mercury concentrations in prey fish among lakes. Each 1.0 μg/g dw (∼0.24 μg/g ww) increase in prey fish resulted in an increase in mercury concentrations of 103% in grebe blood, 92% in grebe eggs, and 116% in sport fish. We also found strong correlations between mercury concentrations in grebes and sport fish among lakes. Our results indicate that prey fish monitoring can be used to estimate mercury exposure of piscivorous birds and sport fish when wildlife cannot be directly sampled.
Collapse
Affiliation(s)
- Joshua T Ackerman
- U.S. Geological Survey , Western Ecological Research Center, Dixon Field Station, 800 Business Park Drive, Suite D, Dixon, California 95620, United States
| | - C Alex Hartman
- U.S. Geological Survey , Western Ecological Research Center, Dixon Field Station, 800 Business Park Drive, Suite D, Dixon, California 95620, United States
| | - Collin A Eagles-Smith
- U.S. Geological Survey , Forest and Rangeland Ecosystem Science Center, 3200 SW Jefferson Way, Corvallis, Oregon 97331, United States
| | - Mark P Herzog
- U.S. Geological Survey , Western Ecological Research Center, Dixon Field Station, 800 Business Park Drive, Suite D, Dixon, California 95620, United States
| | - Jay Davis
- San Francisco Estuary Institute , 4911 Central Avenue, Richmond, California 94804, United States
| | - Gary Ichikawa
- California Department of Fish and Wildlife , 7544 Sandholdt Road, Moss Landing, California 95039, United States
| | - Autumn Bonnema
- Moss Landing Marine Laboratories , 7544 Sandholdt Road, Moss Landing, California 95039, United States
| |
Collapse
|
40
|
van Rooij D, Hoekstra PJ, Bralten J, Hakobjan M, Oosterlaan J, Franke B, Rommelse N, Buitelaar JK, Hartman CA. Influence of DAT1 and COMT variants on neural activation during response inhibition in adolescents with attention-deficit/hyperactivity disorder and healthy controls. Psychol Med 2015; 45:3159-3170. [PMID: 26073896 DOI: 10.1017/s0033291715001130] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
BACKGROUND Impairment of response inhibition has been implicated in attention-deficit/hyperactivity disorder (ADHD). Dopamine neurotransmission has been linked to the behavioural and neural correlates of response inhibition. The current study aimed to investigate the relationship of polymorphisms in two dopamine-related genes, the catechol-O-methyltransferase gene (COMT) and the dopamine transporter gene (SLC6A3 or DAT1), with the neural and behavioural correlates of response inhibition. METHOD Behavioural and neural measures of response inhibition were obtained in 185 adolescents with ADHD, 111 of their unaffected siblings and 124 healthy controls (mean age 16.9 years). We investigated the association of DAT1 and COMT variants on task performance and whole-brain neural activation during response inhibition in a hypothesis-free manner. Additionally, we attempted to explain variance in previously found ADHD effects on neural activation during response inhibition using these DAT1 and COMT polymorphisms. RESULTS The whole-brain analyses demonstrated large-scale neural activation changes in the medial and lateral prefrontal, subcortical and parietal regions of the response inhibition network in relation to DAT1 and COMT polymorphisms. Although these neural activation changes were associated with different task performance measures, no relationship was found between DAT1 or COMT variants and ADHD, nor did variants in these genes explain variance in the effects of ADHD on neural activation. CONCLUSIONS These results suggest that dopamine-related genes play a role in the neurobiology of response inhibition. The limited associations between gene polymorphisms and task performance further indicate the added value of neural measures in linking genetic factors and behavioural measures.
Collapse
Affiliation(s)
- D van Rooij
- Department of Psychiatry,University of Groningen,University Medical Center Groningen,Groningen,The Netherlands
| | - P J Hoekstra
- Department of Psychiatry,University of Groningen,University Medical Center Groningen,Groningen,The Netherlands
| | - J Bralten
- Department of Cognitive Neuroscience,Radboud University Medical Center,Donders Institute for Brain,Cognition and Behaviour,Nijmegen,The Netherlands
| | - M Hakobjan
- Department of Human Genetics,Radboud University Medical Center,Donders Institute for Brain,Cognition and Behaviour,Nijmegen,The Netherlands
| | - J Oosterlaan
- Department of Neuropsychology,VU University Amsterdam,Amsterdam,The Netherlands
| | - B Franke
- Department of Human Genetics,Radboud University Medical Center,Donders Institute for Brain,Cognition and Behaviour,Nijmegen,The Netherlands
| | - N Rommelse
- Department of Psychiatry,Radboud University Medical Center,Donders Institute for Brain,Cognition and Behaviour,Nijmegen,The Netherlands
| | - J K Buitelaar
- Department of Cognitive Neuroscience,Radboud University Medical Center,Donders Institute for Brain,Cognition and Behaviour,Nijmegen,The Netherlands
| | - C A Hartman
- Department of Psychiatry,University of Groningen,University Medical Center Groningen,Groningen,The Netherlands
| |
Collapse
|
41
|
Schweren LJS, Hartman CA, Zwiers MP, Heslenfeld DJ, van der Meer D, Franke B, Oosterlaan J, Buitelaar JK, Hoekstra PJ. Combined stimulant and antipsychotic treatment in adolescents with attention-deficit/hyperactivity disorder: a cross-sectional observational structural MRI study. Eur Child Adolesc Psychiatry 2015; 24:959-68. [PMID: 25395383 DOI: 10.1007/s00787-014-0645-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/23/2014] [Accepted: 11/01/2014] [Indexed: 10/24/2022]
Abstract
Meta-analyses suggest normalizing effects of methylphenidate on structural fronto-striatal abnormalities in patients with attention-deficit/hyperactivity disorder (ADHD). A subgroup of patients receives atypical antipsychotics concurrent with methylphenidate. Long-term safety and efficacy of combined treatment are unknown. The current study provides an initial investigation of structural brain correlates of combined methylphenidate and antipsychotic treatment in patients with ADHD. Structural magnetic resonance imaging was obtained in 31 patients who had received combined methylphenidate and antipsychotic treatment, 31 matched patients who had received methylphenidate but not antipsychotics, and 31 healthy controls (M age 16.7 years). We analyzed between-group effects in total cortical and subcortical volume, and in seven frontal cortical and eight subcortical-limbic volumes of interest, each involved in dopaminergic neurotransmission. Patients in the combined treatment group, but not those in the methylphenidate only group, showed a reduction in total cortical volume compared to healthy controls (Cohen's d = 0.69, p < 0.004), which was apparent in most frontal volumes of interest. Further, the combined treatment group, but not the methylphenidate group, showed volume reduction in bilateral ventral diencephalon (Left Cohen's d = 0.48, p < 0.04; Right Cohen's d = 0.46, p < 0.05) and the left thalamus (Cohen's d = 0.47, p < 0.04). These findings may indicate antipsychotic treatment counteracting the normalizing effects of methylphenidate on brain structure. However, it cannot be ruled out that pre-existing clinical differences between both patient groups may have resulted in anatomical differences at the time of scanning. The absence of an untreated ADHD group hinders unequivocal interpretation and implications of our findings.
Collapse
Affiliation(s)
- L J S Schweren
- Department of Psychiatry, University Medical Center Groningen, University of Groningen, Huispostcode CC10, 9700, VB, Groningen, The Netherlands,
| | | | | | | | | | | | | | | | | |
Collapse
|
42
|
Ackerman JT, Kraus TEC, Fleck JA, Krabbenhoft DP, Horwath WR, Bachand SM, Herzog MP, Hartman CA, Bachand PAM. Experimental dosing of wetlands with coagulants removes mercury from surface water and decreases mercury bioaccumulation in fish. Environ Sci Technol 2015; 49:6304-6311. [PMID: 25893963 DOI: 10.1021/acs.est.5b00655] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/04/2023]
Abstract
Mercury pollution is widespread globally, and strategies for managing mercury contamination in aquatic environments are necessary. We tested whether coagulation with metal-based salts could remove mercury from wetland surface waters and decrease mercury bioaccumulation in fish. In a complete randomized block design, we constructed nine experimental wetlands in California's Sacramento-San Joaquin Delta, stocked them with mosquitofish (Gambusia affinis), and then continuously applied agricultural drainage water that was either untreated (control), or treated with polyaluminum chloride or ferric sulfate coagulants. Total mercury and methylmercury concentrations in surface waters were decreased by 62% and 63% in polyaluminum chloride treated wetlands and 50% and 76% in ferric sulfate treated wetlands compared to control wetlands. Specifically, following coagulation, mercury was transferred from the filtered fraction of water into the particulate fraction of water which then settled within the wetland. Mosquitofish mercury concentrations were decreased by 35% in ferric sulfate treated wetlands compared to control wetlands. There was no reduction in mosquitofish mercury concentrations within the polyaluminum chloride treated wetlands, which may have been caused by production of bioavailable methylmercury within those wetlands. Coagulation may be an effective management strategy for reducing mercury contamination within wetlands, but further studies should explore potential effects on wetland ecosystems.
Collapse
Affiliation(s)
- Joshua T Ackerman
- †U.S. Geological Survey, Western Ecological Research Center, Dixon Field Station, 800 Business Park Drive, Suite D, Dixon, California 95620, United States
| | - Tamara E C Kraus
- ‡U.S. Geological Survey, California Water Science Center, 6000 J Street, Placer Hall, Sacramento, California 95819, United States
| | - Jacob A Fleck
- ‡U.S. Geological Survey, California Water Science Center, 6000 J Street, Placer Hall, Sacramento, California 95819, United States
| | - David P Krabbenhoft
- §U.S. Geological Survey, Wisconsin District, 8505 Research Way, Middleton, Wisconsin 53562, United States
| | - William R Horwath
- ⊥University of California, Davis, Department of Land, Air, and Water Resources, Davis, California 95616, United States
| | - Sandra M Bachand
- ∥Bachand and Associates, 2023 Regis Drive, Davis, California 95616, United States
| | - Mark P Herzog
- †U.S. Geological Survey, Western Ecological Research Center, Dixon Field Station, 800 Business Park Drive, Suite D, Dixon, California 95620, United States
| | - C Alex Hartman
- †U.S. Geological Survey, Western Ecological Research Center, Dixon Field Station, 800 Business Park Drive, Suite D, Dixon, California 95620, United States
| | - Philip A M Bachand
- ∥Bachand and Associates, 2023 Regis Drive, Davis, California 95616, United States
| |
Collapse
|
43
|
Ormel J, Raven D, van Oort F, Hartman CA, Reijneveld SA, Veenstra R, Vollebergh WAM, Buitelaar J, Verhulst FC, Oldehinkel AJ. Mental health in Dutch adolescents: a TRAILS report on prevalence, severity, age of onset, continuity and co-morbidity of DSM disorders. Psychol Med 2015; 45:345-360. [PMID: 25066533 DOI: 10.1017/s0033291714001469] [Citation(s) in RCA: 152] [Impact Index Per Article: 16.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
BACKGROUND With psychopathology rising during adolescence and evidence suggesting that adult mental health burden is often due to disorders beginning in youth, it is important to investigate the epidemiology of adolescent mental disorders. METHOD We analysed data gathered at ages 11 (baseline) and 19 years from the population-based Dutch TRacking Adolescents' Individual Lives Survey (TRAILS) study. At baseline we administered the Achenbach measures (Child Behavior Checklist, Youth Self-Report) and at age 19 years the World Health Organization's Composite International Diagnostic Interview version 3.0 (CIDI 3.0) to 1584 youths. RESULTS Lifetime, 12-month and 30-day prevalences of any CIDI-DSM-IV disorder were 45, 31 and 15%, respectively. Half were severe. Anxiety disorders were the most common but the least severe whereas mood and behaviour disorders were less prevalent but more severe. Disorders persisted, mostly by recurrence in mood disorders and chronicity in anxiety disorders. Median onset age varied substantially across disorders. Having one disorder increased subjects' risk of developing another disorder. We found substantial homotypic and heterotypic continuity. Baseline problems predicted the development of diagnosable disorders in adolescence. Non-intact families and low maternal education predicted externalizing disorders. Most morbidity concentrated in 5-10% of the sample, experiencing 34-55% of all severe lifetime disorders. CONCLUSIONS At late adolescence, 22% of youths have experienced a severe episode and 23% only mild episodes. This psychopathology is rather persistent, mostly due to recurrence, showing both monotypic and heterotypic continuity, with family context affecting particularly externalizing disorders. High problem levels at age 11 years are modest precursors of incident adolescent disorders. The burden of mental illness concentrates in 5-10% of the adolescent population.
Collapse
Affiliation(s)
- J Ormel
- University of Groningen, University Medical Center Groningen,Department of Psychiatry, Interdisciplinary Center Psychopathology and Emotion Regulation (ICPE), Groningen,The Netherlands
| | - D Raven
- University of Groningen, University Medical Center Groningen,Department of Psychiatry, Interdisciplinary Center Psychopathology and Emotion Regulation (ICPE), Groningen,The Netherlands
| | - F van Oort
- Department of Child and Adolescent Psychiatry and Psychology,Erasmus Medical Center,Rotterdam,The Netherlands
| | - C A Hartman
- University of Groningen, University Medical Center Groningen,Department of Psychiatry, Interdisciplinary Center Psychopathology and Emotion Regulation (ICPE), Groningen,The Netherlands
| | - S A Reijneveld
- Department of Health Sciences,University of Groningen,University Medical Center Groningen, Groningen,The Netherlands
| | - R Veenstra
- Department of Sociology,University of Groningen,Groningen,The Netherlands
| | - W A M Vollebergh
- Department of Youth and Family,University of Utrecht,Utrecht,The Netherlands
| | - J Buitelaar
- Department of Psychiatry,Radboud University Nijmegen,Nijmegen,The Netherlands
| | - F C Verhulst
- Department of Child and Adolescent Psychiatry and Psychology,Erasmus Medical Center,Rotterdam,The Netherlands
| | - A J Oldehinkel
- University of Groningen, University Medical Center Groningen,Department of Psychiatry, Interdisciplinary Center Psychopathology and Emotion Regulation (ICPE), Groningen,The Netherlands
| |
Collapse
|
44
|
Ackerman JT, Herzog MP, Hartman CA, Herring G. Forster's tern chick survival in response to a managed relocation of predatory California gulls. J Wildl Manage 2014. [DOI: 10.1002/jwmg.728] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Affiliation(s)
- Joshua T. Ackerman
- U.S. Geological Survey; Western Ecological Research Center; Dixon Field Station, 800 Business Park Drive, Suite D Dixon CA 95620 USA
| | - Mark P. Herzog
- U.S. Geological Survey; Western Ecological Research Center; Dixon Field Station, 800 Business Park Drive, Suite D Dixon CA 95620 USA
| | - C. Alex Hartman
- U.S. Geological Survey; Western Ecological Research Center; Dixon Field Station, 800 Business Park Drive, Suite D Dixon CA 95620 USA
| | - Garth Herring
- U.S. Geological Survey; Western Ecological Research Center; Dixon Field Station, 800 Business Park Drive, Suite D Dixon CA 95620 USA
| |
Collapse
|
45
|
Hartman CA, Ackerman JT, Herring G, Isanhart J, Herzog M. Marsh wrens as bioindicators of mercury in wetlands of Great Salt Lake: do blood and feathers reflect site-specific exposure risk to bird reproduction? Environ Sci Technol 2013; 47:6597-6605. [PMID: 23692510 DOI: 10.1021/es400910x] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/02/2023]
Abstract
Nonlethal sampling of bird blood and feathers are among the more common ways of estimating the risk of mercury exposure to songbird reproduction. The implicit assumption is that mercury concentrations in blood or feathers of individuals captured in a given area are correlated with mercury concentrations in eggs from the same area. Yet, this assumption is rarely tested. We evaluated mercury concentrations in blood, feathers, and eggs of marsh wrens in wetlands of Great Salt Lake, Utah, and, at two spatial scales, specifically tested the assumption that mercury concentrations in blood and feather samples from birds captured in a defined area were predictive of mercury concentrations in eggs collected in the same area. Mercury concentrations in blood were not correlated with mercury concentrations in eggs collected within the same wetland unit, and were poorly correlated with mercury concentrations in eggs collected at the smaller home range spatial scale of analysis. Moreover, mercury exposure risk, as estimated via tissue concentrations, differed among wetland units depending upon whether blood or egg mercury concentrations were sampled. Mercury concentrations in feathers also were uncorrelated with mercury concentrations in eggs, and were poorly correlated with mercury concentrations in blood. These results demonstrate the potential for contrasting management actions that may be implemented based solely on the specific avian tissue that is sampled, and highlight the importance of developing avian tissues as biomonitoring tools for assessing local risk of mercury exposure to bird reproduction.
Collapse
Affiliation(s)
- C Alex Hartman
- US Geological Survey, Western Ecological Research Center, Dixon Field Station, 800 Business Park Drive, Suite D, Dixon, California 95620, United States.
| | | | | | | | | |
Collapse
|
46
|
Hartman CA, Juliato CRT, Sarian LO, Toledo MC, Jales RM, Morais SS, Pitta DD, Marussi EF, Derchain S. Ultrasound criteria and CA 125 as predictive variables of ovarian cancer in women with adnexal tumors. Ultrasound Obstet Gynecol 2012; 40:360-366. [PMID: 22648861 DOI: 10.1002/uog.11201] [Citation(s) in RCA: 33] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/01/2023]
Abstract
OBJECTIVES To evaluate the capacity to predict malignancy in women with adnexal tumors using CA 125 measurement and ultrasound criteria. METHODS This was a cross-sectional study including 103 women with a total of 110 adnexal tumors. CA 125 level was measured in a sample of peripheral blood. Lesions were classified by ultrasound, using standardized predetermined criteria, as benign (B) or malignant (M). Those that could not be classified by these criteria were assessed subjectively. Histopathologic examination of surgical specimens was used as the gold standard. RESULTS Of 110 tumors, 79 (71.8%) were benign and 31 (28.2%) were malignant on histopathology. Ultrasound criteria could be applied to 91 (82.7%) tumors, resulting in a sensitivity of 90%, specificity of 87%, positive predictive value (PPV) of 69% and negative predictive value (NPV) of 97%. In tumors not classifiable according to ultrasound criteria, subjective sonographic assessment gave a sensitivity of 67%, specificity of 80%, PPV of 75% and NPV of 73%. At a cut-off point of 37.4 U/mL, CA 125 had a sensitivity of 69%, a specificity of 87.8%, a PPV of 69% and a NPV of 88% for detection of malignancy. When CA 125 was associated with age and ultrasound criteria in a logistic regression model, the sensitivity and specificity increased in the subset of sonographically malignant tumors. CONCLUSION The majority of tumors were correctly classified using ultrasound criteria. CA 125 alone performed worse than did ultrasound in discriminating malignant from benign adnexal tumors. CA 125 measurement contributed to the diagnosis of malignancy, improving overall specificity, only in sonographically malignant tumors.
Collapse
Affiliation(s)
- C A Hartman
- Department of Obstetrics and Gynecology, Faculty of Medical Sciences, State University of Campinas-UNICAMP, Campinas, Brazil
| | | | | | | | | | | | | | | | | |
Collapse
|
47
|
Bosker FJ, Hartman CA, Nolte IM, Prins BP, Terpstra P, Posthuma D, van Veen T, Willemsen G, DeRijk RH, de Geus EJ, Hoogendijk WJ, Sullivan PF, Penninx BW, Boomsma DI, Snieder H, Nolen WA. Poor replication of candidate genes for major depressive disorder using genome-wide association data. Mol Psychiatry 2011; 16:516-32. [PMID: 20351714 DOI: 10.1038/mp.2010.38] [Citation(s) in RCA: 202] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Data from the Genetic Association Information Network (GAIN) genome-wide association study (GWAS) in major depressive disorder (MDD) were used to explore previously reported candidate gene and single-nucleotide polymorphism (SNP) associations in MDD. A systematic literature search of candidate genes associated with MDD in case-control studies was performed before the results of the GAIN MDD study became available. Measured and imputed candidate SNPs and genes were tested in the GAIN MDD study encompassing 1738 cases and 1802 controls. Imputation was used to increase the number of SNPs from the GWAS and to improve coverage of SNPs in the candidate genes selected. Tests were carried out for individual SNPs and the entire gene using different statistical approaches, with permutation analysis as the final arbiter. In all, 78 papers reporting on 57 genes were identified, from which 92 SNPs could be mapped. In the GAIN MDD study, two SNPs were associated with MDD: C5orf20 (rs12520799; P=0.038; odds ratio (OR) AT=1.10, 95% CI 0.95-1.29; OR TT=1.21, 95% confidence interval (CI) 1.01-1.47) and NPY (rs16139; P=0.034; OR C allele=0.73, 95% CI 0.55-0.97), constituting a direct replication of previously identified SNPs. At the gene level, TNF (rs76917; OR T=1.35, 95% CI 1.13-1.63; P=0.0034) was identified as the only gene for which the association with MDD remained significant after correction for multiple testing. For SLC6A2 (norepinephrine transporter (NET)) significantly more SNPs (19 out of 100; P=0.039) than expected were associated while accounting for the linkage disequilibrium (LD) structure. Thus, we found support for involvement in MDD for only four genes. However, given the number of candidate SNPs and genes that were tested, even these significant may well be false positives. The poor replication may point to publication bias and false-positive findings in previous candidate gene studies, and may also be related to heterogeneity of the MDD phenotype as well as contextual genetic or environmental factors.
Collapse
Affiliation(s)
- F J Bosker
- Department of Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
48
|
Karsten J, Nolen WA, Penninx BWJH, Hartman CA. Subthreshold anxiety better defined by symptom self-report than by diagnostic interview. J Affect Disord 2011; 129:236-43. [PMID: 20956020 DOI: 10.1016/j.jad.2010.09.006] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/28/2010] [Revised: 09/07/2010] [Accepted: 09/07/2010] [Indexed: 11/17/2022]
Abstract
BACKGROUND There is no consensus on how to define subthreshold anxiety. Based on functional impairment, we aim to evaluate the use of a diagnostic instrument and an anxiety severity questionnaire to derive an empirical cut-off for defining clinically relevant, subthreshold anxiety. METHODS Our sample consisted of 1788 subjects without full-syndromal anxiety disorders from the Netherlands Study of Depression and Anxiety (NESDA). We used ANCOVA to compare the Composite International Diagnostic Interview (CIDI) and the Beck Anxiety Inventory (BAI) in their association with functional impairment, measured by the World Health Organization Disability Assessment Schedule (WHODAS II). The BAI was selected over the Fear Questionnaire (FQ) and the Penn State Worry Questionnaire (PSWQ) for its highest associations with anxiety disorders. ROC analysis determined the percentage of functionally impaired with subthreshold anxiety based on found cut-offs. RESULTS The CIDI was very modestly associated with functional impairment, possibly because of skip rules, wording or scoring, while the BAI was highly correlated to functional impairment. A score of 11 on the BAI defined clinically relevant subthreshold anxiety. This cut-off identified 36.0% of the most functionally impaired as having subthreshold anxiety. LIMITATIONS No "natural" cut-off on the BAI for determining subthreshold anxiety could be determined. The cut-off point of 11, based on a large effect size relative to normal anxiety, thus remains somewhat arbitrary. CONCLUSIONS The questionnaire BAI is more suitable than the interview CIDI to measure clinically relevant, subthreshold anxiety. The BAI score of 11 appeared to be the most appropriate cut-off for identifying clinically relevant subthreshold anxiety.
Collapse
Affiliation(s)
- J Karsten
- Department of Psychiatry, University Medical Centre Groningen, University of Groningen, Groningen, The Netherlands.
| | | | | | | |
Collapse
|
49
|
Karsten J, Hartman CA, Ormel J, Nolen WA, Penninx BWJH. Subthreshold depression based on functional impairment better defined by symptom severity than by number of DSM-IV symptoms. J Affect Disord 2010; 123:230-7. [PMID: 19896201 DOI: 10.1016/j.jad.2009.10.013] [Citation(s) in RCA: 50] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/16/2009] [Revised: 10/09/2009] [Accepted: 10/09/2009] [Indexed: 02/05/2023]
Abstract
BACKGROUND Depression with fewer symptoms than required for a DSM-IV diagnosis of Major Depressive Disorder (MDD) has consistently been found to be associated with functional impairment. In this study, we aim to define clinically significant depression below the DSM-IV threshold for Major Depressive Disorder (MDD) by means of functional impairment. METHODS Data used are from 2157 respondents of the Netherlands Study of Depression and Anxiety (NESDA). The Composite International Diagnostic Interview (CIDI) and the Inventory for Depressive Symptomatology-Self Report (IDS-SR(30)) were compared in their association with functional impairment as measured by the World Health Organization Disability Assessment Schedule II (WHODAS II). We used ANCOVA, adjusting for gender, age, education and somatic conditions, and ROC analyses. RESULTS The IDS-SR(30) (p<.001, eta(2)=.51) was more strongly associated with functional impairment than CIDI symptom count (p<.001, eta(2)=.035). Effect sizes supported four symptoms on the CIDI, and a score within the mild depression range on the IDS-SR(30) as adequate cut-offs for defining subthreshold depression, respectively. ROC analyses showed that these cut-offs identified the top 10% and 8% to 60% most dysfunctional respondents, respectively. LIMITATIONS Suggested cut-offs seem reasonable on the basis of converging findings, but in lack of a golden standard they remain somewhat arbitrary. Furthermore, the design of the study is cross-sectional in nature, no causal inferences between depression and functional impairment can be made. CONCLUSIONS Although both instruments are associated with functional impairment, the IDS-SR(30) seems better suited than the CIDI to define subthreshold depression, with a cut-off in the mild IDS-SR(30) range.
Collapse
Affiliation(s)
- J Karsten
- Department of Psychiatry, University Medical Centre Groningen, University of Groningen, Groningen, The Netherlands.
| | | | | | | | | |
Collapse
|
50
|
Nijmeijer JS, Hoekstra PJ, Minderaa RB, Buitelaar JK, Altink ME, Buschgens CJM, Fliers EA, Rommelse NNJ, Sergeant JA, Hartman CA. PDD symptoms in ADHD, an independent familial trait? J Abnorm Child Psychol 2009; 37:443-53. [PMID: 19051006 DOI: 10.1007/s10802-008-9282-0] [Citation(s) in RCA: 62] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
The aims of this study were to investigate whether subtle PDD symptoms in the context of ADHD are transmitted in families independent of ADHD, and whether PDD symptom familiality is influenced by gender and age. The sample consisted of 256 sibling pairs with at least one child with ADHD and 147 healthy controls, aged 5-19 years. Children who fulfilled criteria for autistic disorder were excluded. The Children's Social Behavior Questionnaire (CSBQ) was used to assess PDD symptoms. Probands, siblings, and controls were compared using analyses of variance. Sibling correlations were calculated for CSBQ scores after controlling for IQ, ADHD, and comorbid anxiety. In addition, we calculated cross-sibling cross-trait correlations. Both children with ADHD and their siblings had higher PDD levels than healthy controls. The sibling correlation was 0.28 for the CSBQ total scale, with the CSBQ stereotyped behavior subscale showing the strongest sibling correlation (r = 0.35). Sibling correlations remained similar in strength after controlling for IQ and ADHD, and were not confounded by comorbid anxiety. Sibling correlations were higher in female than in male probands. The social subscale showed stronger sibling correlations in elder than in younger sibling pairs. Cross-sibling cross-trait correlations for PDD and ADHD were weak and not-significant. The results confirm that children with ADHD have high levels of PDD symptoms, and further suggest that the familiality of subtle PDD symptoms in the context of ADHD is largely independent from ADHD familiality.
Collapse
Affiliation(s)
- J S Nijmeijer
- Department of Psychiatry, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
| | | | | | | | | | | | | | | | | | | |
Collapse
|