1
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Goldblatt R, Holz N, Tate G, Sherman K, Ghebremicael S, Bhuyan SS, Al-Ajlouni Y, Santillanes S, Araya G, Abad S, Herting MM, Thompson W, Thapaliya B, Sapkota R, Xu J, Liu J, Schumann G, Calhoun VD. "Urban-Satellite" estimates in the ABCD Study: Linking Neuroimaging and Mental Health to Satellite Imagery Measurements of Macro Environmental Factors. medRxiv 2024:2023.11.06.23298044. [PMID: 37986844 PMCID: PMC10659457 DOI: 10.1101/2023.11.06.23298044] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/22/2023]
Abstract
While numerous studies over the last decade have highlighted the important influence of environmental factors on mental health, globally applicable data on physical surroundings are still limited. Access to such data and the possibility to link them to epidemiological studies is critical to unlocking the relationship of environment, brain and behaviour and promoting positive future mental health outcomes. The Adolescent Brain Cognitive Development (ABCD) Study is the largest ongoing longitudinal and observational study exploring brain development and child health among children from 21 sites across the United States. Here we describe the linking of the ABCD study data with satellite-based "Urban-Satellite" (UrbanSat) variables consisting of 11 satellite-data derived environmental indicators associated with each subject's residential address at their baseline visit, including land cover and land use, nighttime lights, and population characteristics. We present these UrbanSat variables and provide a review of the current literature that links environmental indicators with mental health, as well as key aspects that must be considered when using satellite data for mental health research. We also highlight and discuss significant links of the satellite data variables to the default mode network clustering coefficient and cognition. This comprehensive dataset provides the foundation for large-scale environmental epidemiology research.
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Affiliation(s)
| | - Nathalie Holz
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim / Heidelberg University, Mannheim, Germany
| | - Garrett Tate
- New Light Technologies, Inc., Washington, DC 20012
| | - Kari Sherman
- New Light Technologies, Inc., Washington, DC 20012
| | | | - Soumitra S Bhuyan
- Edward J. Bloustein School of Planning and Public Policy, Rutgers University- New Brunswick
| | - Yazan Al-Ajlouni
- New York Medical College School of Medicine, Valhalla, NY 10595, USA
| | | | | | - Shermaine Abad
- Department of Radiology, University of California, San Diego, 92093
| | - Megan M. Herting
- University of Southern California, Keck School of Medicine of USC, Los Angeles, CA, 90089
| | - Wesley Thompson
- Laureate Institute for Brain Research, Tulsa, Oklahoma, 74136, USA
| | - Bishal Thapaliya
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State, Georgia Tech, Emory, Atlanta, GA 30303
| | - Ram Sapkota
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State, Georgia Tech, Emory, Atlanta, GA 30303
| | - Jiayuan Xu
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin 300052, P.R. China
| | - Jingyu Liu
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State, Georgia Tech, Emory, Atlanta, GA 30303
| | | | - Gunter Schumann
- Centre for Population Neuroscience and Stratified Medicine (PONS), ISTBI, Fudan University Shanghai, P.R. China
- PONS Centre, Dept. of Psychiatry and Neuroscience, CCM, Charite University Medicine Berlin, Germany
| | - Vince D. Calhoun
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State, Georgia Tech, Emory, Atlanta, GA 30303
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Wei D, Wu D, Wang J, Li Y, Sun X, Zhang C, Zhang S, Thompson W, Benzinger MJ, Crowley E. Validation of the KangarooSci® Aerobic Count Plate for the Enumeration of Meosphilic Aerobic Bacteria in Selected Foods and on Stainless Steel Environmental Surfaces: AOAC Performance Tested MethodSM 062301. J AOAC Int 2023; 106:1589-1597. [PMID: 37522841 DOI: 10.1093/jaoacint/qsad088] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Accepted: 07/12/2023] [Indexed: 08/01/2023]
Abstract
BACKGROUND The KangarooSci® Aerobic Count Plate (ACP) is a sample-ready culture medium system for direct counting of aerobic bacteria colonies after 48-72 h of incubation. OBJECTIVE The KangarooSci ACP was evaluated for AOAC Performance Tested MethodsSM certification. METHODS The KangarooSci ACP was evaluated through matrix studies and product consistency/stability study and robustness testing. For the matrix study, nine food products (nonfat dry milk powder, fresh raw bovine milk, pasteurized liquid bovine milk, fresh raw ground beef, frozen uncooked chicken breast, cooked shredded pork, apple juice, ice cream, and fresh strawberries), and one environmental surface (stainless steel) were evaluated following the KangarooSci ACP product instructions and compared to the ISO 4833-1:2013, Microbiology of food and animal feeding stuffs-Horizontal methods for the enumeration of microorganisms-Part 1: Colony count at 30 °C by the pour plate technique reference standard. The product consistency and stability testing evaluated three separate production lots of the KangarooSci ACP. The robustness testing examined three test parameters, volume of sample plated, incubation time, and incubation temperature, using a factorial study design. RESULTS Results from the matrix study demonstrated equivalent performance between the KangarooSci ACP and the ISO 4833-1:2013 reference standard. The product consistency and stability testing showed that the performance of the assay was equivalent over time up to 12 months and between production lots. Minor changes to the operational test conditions showed no significant impact on performance during the robustness testing. CONCLUSION The KangarooSci ACP is an effective method for aerobic plate count for all matrixes evaluated. HIGHLIGHTS The KangarooSci ACP allows for fast, reliable enumeration of aerobic bacteria. Utilizing the alternative method takes up less space in incubators, requires no sample spreader, and requires fewer consumables compared to the reference method.
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Affiliation(s)
- Danping Wei
- Ring Biotechnology Co., Ltd, Building 3, Zhongtongtai TechnoPark, No. 11, Kechuang 14th St, Beijing 100176, China
| | - Di Wu
- Ring Biotechnology Co., Ltd, Building 3, Zhongtongtai TechnoPark, No. 11, Kechuang 14th St, Beijing 100176, China
| | - Jisheng Wang
- Ring Biotechnology Co., Ltd, Building 3, Zhongtongtai TechnoPark, No. 11, Kechuang 14th St, Beijing 100176, China
| | - Yazhou Li
- Ring Biotechnology Co., Ltd, Building 3, Zhongtongtai TechnoPark, No. 11, Kechuang 14th St, Beijing 100176, China
| | - Xinyu Sun
- Ring Biotechnology Co., Ltd, Building 3, Zhongtongtai TechnoPark, No. 11, Kechuang 14th St, Beijing 100176, China
| | - Can Zhang
- Ring Biotechnology Co., Ltd, Building 3, Zhongtongtai TechnoPark, No. 11, Kechuang 14th St, Beijing 100176, China
| | - Shuai Zhang
- Ring Biotechnology Co., Ltd, Building 3, Zhongtongtai TechnoPark, No. 11, Kechuang 14th St, Beijing 100176, China
| | - Wesley Thompson
- Q Laboratories, 1930 Radcliff Dr., Cincinnati, OH 45204, USA
| | | | - Erin Crowley
- Q Laboratories, 1930 Radcliff Dr., Cincinnati, OH 45204, USA
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Ahern J, Thompson W, Fan CC, Loughnan R. Comparing Pruning and Thresholding with Continuous Shrinkage Polygenic Score Methods in a Large Sample of Ancestrally Diverse Adolescents from the ABCD Study ®. Behav Genet 2023; 53:292-309. [PMID: 37017779 PMCID: PMC10655749 DOI: 10.1007/s10519-023-10139-w] [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: 12/01/2022] [Accepted: 02/28/2023] [Indexed: 04/06/2023]
Abstract
Using individuals' genetic data researchers can generate Polygenic Scores (PS) that are able to predict risk for diseases, variability in different behaviors as well as anthropomorphic measures. This is achieved by leveraging models learned from previously published large Genome-Wide Association Studies (GWASs) associating locations in the genome with a phenotype of interest. Previous GWASs have predominantly been performed in European ancestry individuals. This is of concern as PS generated in samples with a different ancestry to the original training GWAS have been shown to have lower performance and limited portability, and many efforts are now underway to collect genetic databases on individuals of diverse ancestries. In this study, we compare multiple methods of generating PS, including pruning and thresholding and Bayesian continuous shrinkage models, to determine which of them is best able to overcome these limitations. To do this we use the ABCD Study, a longitudinal cohort with deep phenotyping on individuals of diverse ancestry. We generate PS for anthropometric and psychiatric phenotypes using previously published GWAS summary statistics and examine their performance in three subsamples of ABCD: African ancestry individuals (n = 811), European ancestry Individuals (n = 6703), and admixed ancestry individuals (n = 3664). We find that the single ancestry continuous shrinkage method, PRScs (CS), and the multi ancestry meta method, PRScsx Meta (CSx Meta), show the best performance across ancestries and phenotypes.
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Affiliation(s)
- Jonathan Ahern
- Department of Cognitive Science, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA, 92093, USA.
- Center for Human Development, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA, 92161, USA.
| | - Wesley Thompson
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, 9500 Gilman Drive, La Jolla, San Diego, CA, 92161, USA
- Center for Population Neuroscience and Genetics, Laureate Institute for Brain Research, Tulsa, OK, 74103, USA
| | - Chun Chieh Fan
- Center for Population Neuroscience and Genetics, Laureate Institute for Brain Research, Tulsa, OK, 74103, USA
- Department of Radiology, University of California, San Diego School of Medicine, 9500 Gilman Drive, La Jolla, CA, 92037, USA
| | - Robert Loughnan
- Department of Cognitive Science, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA, 92093, USA
- Center for Human Development, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA, 92161, USA
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Lee YI, Cacciani N, Wen Y, Zhang X, Hedström Y, Thompson W, Larsson L. Direct electrical stimulation impacts on neuromuscular junction morphology on both stimulated and unstimulated contralateral soleus. J Cachexia Sarcopenia Muscle 2023. [PMID: 37060275 DOI: 10.1002/jcsm.13235] [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] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Revised: 03/06/2023] [Accepted: 03/15/2023] [Indexed: 04/16/2023] Open
Abstract
BACKGROUND There is increasing evidence of crosstalk between organs. The neuromuscular junction (NMJ) is a peripheral chemical synapse whose function and morphology are sensitive to acetylcholine (ACh) release and muscle depolarization. In an attempt to improve our understanding of NMJ plasticity and muscle crosstalk, the effects of unilateral direct electrical stimulation of a hindlimb muscle on the NMJ were investigated in rats exposed long-term post-synaptic neuromuscular blockade. METHODS Sprague Dawley rats were subjected to post-synaptic blockade of neuromuscular transmission by systemic administration of α-cobrotoxin and mechanically ventilated for up to 8 days and compared with untreated sham operated controls and animals exposed to unilateral chronic electrical stimulation 12 h/day for 5 or 8 days. RESULTS NMJs produced axonal and glial sprouts (growth of processes that extend beyond the confines of the synapse defined by high-density aggregates of acetylcholine receptors [AChRs]) in response to post-synaptic neuromuscular blockade, but less than reported after peripheral denervation or pre-synaptic blockade. Direct electrical soleus muscle stimulation reduced the terminal Schwann cell (tSC) and axonal sprouting in both stimulated and non-stimulated contralateral soleus. Eight days chronic stimulation reduced (P < 0.001) the number of tSC sprouts on stimulated and non-stimulated soleus from 6.7 ± 0.5 and 6.9 ± 0.5 sprouts per NMJ, respectively, compared with 10.3 ± 0.9 tSC per NMJ (P < 0.001) in non-stimulated soleus from rats immobilized for 8 days. A similar reduction of axonal sprouts (P < 0.001) was observed in stimulated and non-stimulated contralateral soleus in response to chronic electrical stimulation. RNAseq-based gene expression analyses confirmed a restoring effect on both stimulated and unstimulated contralateral muscle. The cross-over effect was paralleled by increased cytokine/chemokine levels in stimulated and contralateral unstimulated muscle as well as in plasma. CONCLUSIONS Motor axon terminals and terminal Schwann cells at NMJs of rats subjected to post-synaptic neuromuscular blockade exhibited sprouting responses. These axonal and glial responses were likely dampened by a muscle-derived myokines released in an activity-dependent manner with both local and systemic effects.
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Affiliation(s)
- Young Il Lee
- Department of Biology, Texas A&M University, College Station, TX, USA
- Department of Pharmacology & Therapeutics, College of Medicine, University of Florida Myology Institute, University of Florida, Gainesville, FL, USA
| | - Nicola Cacciani
- Department of Physiology and Pharmacology, Basic and Clinical Muscle Biology Group, Karolinska Institutet, Stockholm, Sweden
| | - Ya Wen
- Department of Physiology and Pharmacology, Basic and Clinical Muscle Biology Group, Karolinska Institutet, Stockholm, Sweden
| | - Xiang Zhang
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
| | - Yvette Hedström
- Department of Physiology and Pharmacology, Basic and Clinical Muscle Biology Group, Karolinska Institutet, Stockholm, Sweden
| | - Wesley Thompson
- Department of Biology, Texas A&M University, College Station, TX, USA
- Section of Molecular Cell and Developmental Biology, The University of Texas, Austin, TX, USA
| | - Lars Larsson
- Department of Physiology and Pharmacology, Basic and Clinical Muscle Biology Group, Karolinska Institutet, Stockholm, Sweden
- Department of Clinical Neuroscience, Section of Clinical Neurophysiology, Karolinska Institutet, Stockholm, Sweden
- Viron Molecular Medicine Institute, Boston, MA, USA
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Benabderrazik K, Kopainsky B, Monastyrnaya E, Thompson W, Tazi L, Joerin J, Six J. Climate resilience and the human-water dynamics. The case of tomato production in Morocco. Sci Total Environ 2022; 849:157597. [PMID: 35917959 DOI: 10.1016/j.scitotenv.2022.157597] [Citation(s) in RCA: 1] [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] [Received: 02/15/2022] [Revised: 07/13/2022] [Accepted: 07/20/2022] [Indexed: 06/15/2023]
Abstract
In Morocco, droughts are an increasing threat affecting water availability, agricultural production and producers' livelihoods. Moreover, water demand for irrigation has led to overexploitation of the groundwater table causing significant natural resource management challenges. The combination of groundwater changes and increasing drought risk raises concerns about the ability of agricultural producers to be resilient against drought. In this study, we describe the interactions of environmental and socioeconomic processes which influence farmers' livelihoods involved in tomato production in Morocco. Building on system dynamics modelling tools, we aim to improve the understanding of the long-term dynamic behavior of water management and to explore plausible policy scenarios necessary for sustainable and resilient water resource management and agricultural development. Our results show that tomato production is not yet severely impacted by droughts. However, droughts are accelerating the process of groundwater depletion, impacting farmers' livelihoods, by decreasing crop productivity and reducing farmer's revenue over a longer time period, especially since tomatoes are a high-value crop. Therefore, integrated and effective policies are presented as a set of measures for a systemic enhancement of resilience. We conclude that a more radical approach toward water resource conservation and upholding the most vulnerable producers has to be adopted in order to enhance a sustainable and inclusive resilience of the tomato production in Morocco.
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Affiliation(s)
- K Benabderrazik
- Sustainable Agroecosystem Group, Agricultural Institute, Department of Environmental Systems Science, ETH Zürich, Universitätstrasse 2, LFH B11, 8092 Zürich, Switzerland.
| | - B Kopainsky
- System Dynamics Group, Department of Geography, University of Bergen, Postbox 7800, 5020 Bergen, Norway
| | - E Monastyrnaya
- Sustainable Agroecosystem Group, Agricultural Institute, Department of Environmental Systems Science, ETH Zürich, Universitätstrasse 2, LFH B11, 8092 Zürich, Switzerland
| | - W Thompson
- Sustainable Agroecosystem Group, Agricultural Institute, Department of Environmental Systems Science, ETH Zürich, Universitätstrasse 2, LFH B11, 8092 Zürich, Switzerland
| | - L Tazi
- Laboratoire de Biodiversité, Ecologie et Génome, Centre de Biotechnologie Vegetale et Microbienne, Biodiversité et Environnement, Université Mohamed V, Rabat, Morocco
| | - J Joerin
- Sustainable Agroecosystem Group, Agricultural Institute, Department of Environmental Systems Science, ETH Zürich, Universitätstrasse 2, LFH B11, 8092 Zürich, Switzerland
| | - J Six
- Sustainable Agroecosystem Group, Agricultural Institute, Department of Environmental Systems Science, ETH Zürich, Universitätstrasse 2, LFH B11, 8092 Zürich, Switzerland
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6
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Passot F, Peslier S, Benzinger MJ, Blackburn J, Thompson W, Bastin B, Dumont A, Dukan S. Validation of MICA Legionella for Enumeration of Legionella pneumophila in sanitary waters and cooling tower waters: AOAC Performance Tested MethodSM #032201. J AOAC Int 2022; 106:725-736. [PMID: 36413047 PMCID: PMC10156412 DOI: 10.1093/jaoacint/qsac150] [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: 10/27/2022] [Accepted: 10/27/2022] [Indexed: 11/23/2022]
Abstract
Abstract
Background
Frequent testing for Legionella concentration in water is required by most health risk monitoring organizations worldwide. Domestic hot waters and cooling tower waters networks must be regularly controlled to prevent Legionnaire’s disease, a potentially deadly lung infection. MICA Legionella is the fastest culture-based detection method for all serogroups of L. pneumophila, with automatic enumeration in 48 hours and no need for confirmation.
Objective
This study compares the performance and robustness of MICA Legionella with the reference method ISO 11731:2017 for the enumeration of culturable L. pneumophila.
Methods
MICA Legionella and ISO 11731:2017 results were compared on domestic hot waters and cooling tower waters. Inclusivity and exclusivity were tested on reference and environmental strains. Ruggedness, lot-to-lot consistency, and stability of the reagents kit were also studied.
Results
Enumeration of L. pneumophila by MICA Legionella was statistically equivalent to ISO 11731:2017 in both matrixes. In cooling tower waters, MICA Legionella showed better sensitivity than ISO 11731:2017. It presented a 94% sensitivity and a 97% specificity.
Conclusions
MICA Legionella is a highly sensitive and specific method for culturable L. pneumophila enumeration. It presents, in 48 hours, equivalent or better results than ISO 11731:2017. Its protocol is robust to variations. Its reagents kit is stable up to 18 months.
Highlights
MICA Legionella is a robust and reliable method for the enumeration of culturable L. pneumophila in domestic and cooling tower waters. It reduces significantly the number of sample pretreatments required in ISO 11731:2017. Automatic identification and enumeration of L. pneumophila microcolonies eliminates the requirement to have skilled analysts and limits the results variability. It also greatly reduces the time to results to 48 hours instead of 7-10 days with the ISO 11731:2017 while providing statistically equivalent results.
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Affiliation(s)
- Fanny Passot
- DIAMIDEX, Grand Luminy Technopole, Zone Luminy Entreprise Biotech , Case 922, 163 Avenue de Luminy, 13288 Marseille Cedex 09, France
| | - Sabine Peslier
- DIAMIDEX, Grand Luminy Technopole, Zone Luminy Entreprise Biotech , Case 922, 163 Avenue de Luminy, 13288 Marseille Cedex 09, France
| | | | | | | | | | - Audrey Dumont
- DIAMIDEX, Grand Luminy Technopole, Zone Luminy Entreprise Biotech , Case 922, 163 Avenue de Luminy, 13288 Marseille Cedex 09, France
| | - Sam Dukan
- DIAMIDEX, Grand Luminy Technopole, Zone Luminy Entreprise Biotech , Case 922, 163 Avenue de Luminy, 13288 Marseille Cedex 09, France
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7
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Koch K, Thompson W, Benzinger MJ, Bastin B, Crowley E, Lienau A. Validation of the Assurance® GDS for Cronobacter Tq II in Infant Formulas, Infant Cereals, Ingredients, and Environmental Samples Collaborative Study: First Action 2021.08. J AOAC Int 2022; 106:711-724. [PMID: 36367286 DOI: 10.1093/jaoacint/qsac121] [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: 08/05/2022] [Revised: 09/27/2022] [Accepted: 09/28/2022] [Indexed: 11/13/2022]
Abstract
Abstract
Background
The Assurance® GDS for Cronobacter Tq II assay is a nucleic acid amplification system for the qualitative detection of Cronobacter. The method utilizes an upfront concentration of the target organism from the enrichment by Immunomagnetic separation (IMS) using the PickPen™ device.
Objective
The Assurance GDS for Cronobacter Tq II method was evaluated for OMA certification.
Method
The matrix was compared to the ISO 22964:2017: Microbiology of the food chain—Horizontal method for the detection of Cronobacter spp. standard and using an alternative confirmation procedure. The alternative method was evaluated using 10 g test portions in an unpaired study design for powdered infant formula (milk based with iron and DHA) containing probiotics. Eleven technicians from eight laboratories located within the United States and Europe participated in the Collaborative study. Statistical analysis was conducted according to the Probability of Detection (POD) statistical model as presented in the AOAC validation guidelines. The difference in laboratory POD (dLPODC) values with 95% confidence intervals across collaborators was calculated for each level between the candidate and reference method results and between the candidate presumptive and confirmed results.
Results
Results obtained for the low inoculum level test portions produced a dLPOD value with 95% confidence interval of 0.03, (-0.18, 0.15). The dLPOD results indicate equivalence between the candidate method and reference method for the matrix evaluated. The method also demonstrated acceptable inter-laboratory reproducibility as determined in the collaborative evaluation. There were no false-negative results; the false positive rate was determined and produced value of < 2%.
Conclusion
Based on the data generated, the method demonstrated Assurance GDS for Cronobacter Tq II assay produced acceptable interlaboratory reproducibility data and statistical analysis.
Highlight
The Assurance GDS for Cronobacter Tq II method is suitable for the rapid qualitative detection of Cronobacter in infant formulas, infant cereals, ingredients, and environmental samples.
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Affiliation(s)
- Kateland Koch
- Q Laboratories , 1930 Radcliff Drive, Cincinnati, OH, 45204
| | | | | | | | - Erin Crowley
- Q Laboratories , 1930 Radcliff Drive, Cincinnati, OH, 45204
| | - Andrew Lienau
- MilliporeSigma , 12822 SE 32 nd St, Bellevue, WA, 98005
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Blackburn J, Deterding A, Thompson W, Benzinger MJ, Bastin B, Evrard J, Wentrup C, Michon C, Cruz Ramos H. Validation of the AquaCHROM™ ECC for the Detection and Enumeration of Coliforms and Escherichia coli in Water Samples: AOAC Performance Tested MethodSM 072202. J AOAC Int 2022; 106:678-689. [PMID: 36222550 DOI: 10.1093/jaoacint/qsac120] [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: 10/03/2022] [Accepted: 10/03/2022] [Indexed: 11/07/2022]
Abstract
Abstract
Background
The AquaCHROM™ ECC method from CHROMagar™ is intended for the detection and enumeration of Escherichia coli and coliform bacteria in 100 mL water samples after 18–24 h of incubation at 35–37 °C.
Objective
To validate the AquaCHROM ECC method for qualitative and quantitative detection of E. coli and coliforms with different water matrixes.
Methods
Inclusivity/exclusivity studies were conducted. AquaCHROM ECC was compared to U.S. cultural reference methods in unpaired matrix studies for detection of E. coli and coliforms in tap water, well water, lake water, and bottled water, and for enumeration in tap water, well water, and lake water. Three production lots of AquaCHROM ECC were tested for product consistency and stability. Variations in incubation time and temperature were evaluated in robustness testing.
Results
Inclusivity/exclusivity results demonstrated expected performance with the exception of three strains of Salmonella enterica, two species of Shigella and one strain of Aeromonas, which turned the media blue or yellow. Results from the matrix studies demonstrated that AquaCHROM ECC and the reference methods are not statistically different for detection of E. coli and coliforms and statistically equivalent for enumeration of E. coli and coliforms. The AquaCHROM ECC powder production was proven to be consistent with a 24-month shelf life. Variation in temperature did not affect the method performance. Shortening the incubation time is not recommended.
Conclusions
AquaCHROM ECC is an effective method for the detection and enumeration of E. coli and coliforms for the water matrixes evaluated.
Highlights
The AquaCHROM ECC method is a quick, one-step method for the recovery and enumeration of E. coli and coliforms in 100 mL water samples. It is a non-agar based chromogenic medium which provides a clear result without the use of a UV-lamp.
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Affiliation(s)
- Jonathan Blackburn
- Research and Development, Q Laboratories , 1930 Radcliff Dr, Cincinnati, OH, USA 45204 USA
| | - Andrew Deterding
- Research and Development, Q Laboratories , 1930 Radcliff Dr, Cincinnati, OH, USA 45204 USA
| | - Wesley Thompson
- Research and Development, Q Laboratories , 1930 Radcliff Dr, Cincinnati, OH, USA 45204 USA
| | - M Joseph Benzinger
- Research and Development, Q Laboratories , 1930 Radcliff Dr, Cincinnati, OH, USA 45204 USA
| | - Benjamin Bastin
- Research and Development, Q Laboratories , 1930 Radcliff Dr, Cincinnati, OH, USA 45204 USA
| | - Julie Evrard
- CHROMagar™ , 4 place du 18 juin 1940, 75006 Paris, France
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Katchman BA, Tomchaney M, Bueschel D, Ulrich P, Freeman S, O’Brian K, Eggers R, May M, Hogan M, Thompson W, Benzinger MJ, Bastin B. Independent Study for the Detectx Combined Assay for the Detection of Aspergillus, Salmonella, and STEC ( stx1 and/or 2) in Dried Cannabis Flower and Dried Hemp Flower: Level 3 Modification Study 012201. J AOAC Int 2022; 105:1105-1125. [DOI: 10.1093/jaoacint/qsac029] [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: 02/18/2022] [Accepted: 02/22/2022] [Indexed: 11/12/2022]
Abstract
Abstract
Background
The PathogenDx family of assays uses microarray technology to simultaneously detect the presence of bacterial and fungal pathogens in food products, environmental surfaces, and cannabis products.
Objective
The Detectx Combined assay was validated for the detection of Aspergillus, (Aspergillus flavus, Aspergillus fumigatus, Aspergillus niger, and Aspergillus terreus), Salmonella, and a broad range of STEC (stx1 and/or 2) species. The validation consisted of two matrix studies in dried hemp flower and dried cannabis flower (>0.3% delta-9 tetrahydrocannabinol) flower, product consistency, stability, robustness, and inclusivity and exclusivity for two targets: Aspergillus and STEC.
Method
The PathogenDx Detectx Combined assay was evaluated with 30 replicates in each matrix and confirmed according to the instructions outlined in this study.
Results
Results of the validation study met the requirements of AOAC Standard Method Performance Requirement (SMPR®) 2020.002 and 2020.012. In the inclusivity and exclusivity study, all target isolates (Aspergillus and STEC) were correctly detected. For the exclusivity study, 26 out of 30 Aspergillus and 30 out of 30 STEC non-target strains were correctly excluded. In the matrix study, the PathogenDx Detectx Combined assay showed no significant statistical differences between confirmed results for dried hemp and cannabis flower. Robustness testing indicated that small changes to the method parameters did not impact the performance of the assay. Stability and consistency studies verified that the assay’s shelf-life claims were appropriate, and manufacturing of the assay was consistent.
Conclusions
The validation study indicated that the PathogenDx DetectX Combined assay was successful in detection of the new target analytes (Aspergillus flavus, Aspergillus fumigatus, Aspergillus niger, and Aspergillus terreus and STEC containing stx1 and/or 2) and could successfully recover these organisms and Salmonella from dried hemp flower and dried cannabis flower (>0.3% delta-9 tetrahydrocannabinol).
Highlights
The PathogenDx DetectX Combined Assay will be the first PTM approved multiplex assay for Aspergillus, E. coli and Salmonella that does not require an enrichment step.
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Corneli A, Perry B, Taylor J, Beckford J, Molokwu N, Reif S, Wilson J, Gulden C, Bickham J, Siren J, Thompson W, Clement ME. HIV Prevention During the COVID-19 Pandemic: Sexual Activity and PrEP Use Among Black Same-Gender-Loving Men and Black Cisgender Women. AIDS Educ Prev 2022; 34:142-157. [PMID: 35438538 PMCID: PMC9534043 DOI: 10.1521/aeap.2022.34.2.142] [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] [Subscribe] [Scholar Register] [Indexed: 05/07/2023]
Abstract
Black populations in the U.S. South are disproportionally affected by HIV and COVID-19 due to longstanding inequalities. We conducted 20 in-depth interviews-12 with Black same-gender-loving men and 8 with Black cisgender women-to explore the impact of the initial phase of the COVID-19 pandemic on sexual activities and PrEP use. Almost all participants reduced the frequency of sex and number of partners. Women described little interest in sex, whereas men began to connect with some sexual partners after stay-at-home orders were lifted. Both populations were concerned about contracting COVID-19 through sexual partners, and men described selecting partners based on perceived COVID-19 risk. Participants valued PrEP and could access it, although several men who were not having sex stopped taking it. Risk of acquiring HIV during this time was likely limited. Future qualitative research is needed to understand how sexual behaviors and PrEP use changed as the pandemic continued.
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Affiliation(s)
- Amy Corneli
- Department of Population Health Sciences, Duke University School of Medicine, Durham, NC
- Duke Clinical Research Institute, Durham, NC
| | - Brian Perry
- Department of Population Health Sciences, Duke University School of Medicine, Durham, NC
| | - Jamilah Taylor
- Department of Population Health Sciences, Duke University School of Medicine, Durham, NC
| | - Jeremy Beckford
- Louisiana State University Health Sciences Center, Section of Infectious Diseases, New Orleans, LA
| | - Nneka Molokwu
- Department of Population Health Sciences, Duke University School of Medicine, Durham, NC
| | - Susan Reif
- Center for Health Policy and Inequities Research, Duke University, Durham, NC
| | | | | | - Jacquelyn Bickham
- Louisiana Department of Health STD/HIV/Hepatitis Program, New Orleans, LA
| | - Julia Siren
- CrescentCare Federally Qualified Health Center, New Orleans, LA
| | | | - Meredith E. Clement
- Louisiana State University Health Sciences Center, Section of Infectious Diseases, New Orleans, LA
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11
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Anokhin AP, Luciana M, Banich M, Barch D, Bjork JM, Gonzalez MR, Gonzalez R, Haist F, Jacobus J, Lisdahl K, McGlade E, McCandliss B, Nagel B, Nixon SJ, Tapert S, Kennedy JT, Thompson W. Age-related changes and longitudinal stability of individual differences in ABCD Neurocognition measures. Dev Cogn Neurosci 2022; 54:101078. [PMID: 35123342 PMCID: PMC9019835 DOI: 10.1016/j.dcn.2022.101078] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [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] [Received: 07/15/2021] [Revised: 12/23/2021] [Accepted: 01/26/2022] [Indexed: 01/18/2023] Open
Abstract
Temporal stability of individual differences is an important prerequisite for accurate tracking of prospective relationships between neurocognition and real-world behavioral outcomes such as substance abuse and psychopathology. Here we report age-related changes and longitudinal test-retest stability (TRS) for the Neurocognition battery of the Adolescent Brain and Cognitive Development (ABCD) study, which included the NIH Toolbox (TB) Cognitive Domain and additional memory and visuospatial processing tests administered at baseline (ages 9-11) and two-year follow-up. As expected, performance improved significantly with age, but the effect size varied broadly, with Pattern Comparison and the Crystallized Cognition Composite showing the largest age-related gain (Cohen's d:.99 and.97, respectively). TRS ranged from fair (Flanker test: r = 0.44) to excellent (Crystallized Cognition Composite: r = 0.82). A comparison of longitudinal changes and cross-sectional age-related differences within baseline and follow-up assessments suggested that, for some measures, longitudinal changes may be confounded by practice effects and differences in task stimuli or procedure between baseline and follow-up. In conclusion, a subset of measures showed good stability of individual differences despite significant age-related changes, warranting their use as prospective predictors. However, caution is needed in the interpretation of observed longitudinal changes as indicators of neurocognitive development.
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12
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Pain O, Hodgson K, Trubetskoy V, Ripke S, Marshe VS, Adams MJ, Byrne EM, Campos AI, Carrillo-Roa T, Cattaneo A, Als TD, Souery D, Dernovsek MZ, Fabbri C, Hayward C, Henigsberg N, Hauser J, Kennedy JL, Lenze EJ, Lewis G, Müller DJ, Martin NG, Mulsant BH, Mors O, Perroud N, Porteous DJ, Rentería ME, Reynolds CF, Rietschel M, Uher R, Wigmore EM, Maier W, Wray NR, Aitchison KJ, Arolt V, Baune BT, Biernacka JM, Bondolfi G, Domschke K, Kato M, Li QS, Liu YL, Serretti A, Tsai SJ, Turecki G, Weinshilboum R, McIntosh AM, Lewis CM, Kasper S, Zohar J, Souery D, Montgomery S, Albani D, Forloni G, Ferentinos P, Rujescu D, Mendlewicz J, Wray NR, Ripke S, Mattheisen M, Trzaskowski M, Byrne EM, Abdellaoui A, Adams MJ, Agerbo E, Air TM, Andlauer TF, Bacanu SA, Bækvad-Hansen M, Beekman AT, Bigdeli TB, Binder EB, Bryois J, Buttenschøn HN, Bybjerg-Grauholm J, Cai N, Castelao E, Christensen JH, Clarke TK, Coleman JR, Colodro-Conde L, Couvy-Duchesne B, Craddock N, Crawford GE, Davies G, Deary IJ, Degenhardt F, Derks EM, Direk N, Dolan CV, Dunn EC, Eley TC, Escott-Price V, Hassan Kiadeh FF, Finucane HK, Foo JC, Forstner AJ, Frank J, Gaspar HA, Gill M, Goes FS, Gordon SD, Grove J, Hall LS, Hansen CS, Hansen TF, Herms S, Hickie IB, Hoffmann P, Homuth G, Horn C, Hottenga JJ, Hougaard DM, Howard DM, Ising M, Jansen R, Jones I, Jones LA, Jorgenson E, Knowles JA, Kohane IS, Kraft J, Kretzschmar WW, Kutalik Z, Li Y, Lind PA, MacIntyre DJ, MacKinnon DF, Maier RM, Maier W, Marchini J, Mbarek H, McGrath P, McGuffin P, Medland SE, Mehta D, Middeldorp CM, Mihailov E, Milaneschi Y, Milani L, Mondimore FM, Montgomery GW, Mostafavi S, Mullins N, Nauck M, Ng B, Nivard MG, Nyholt DR, O’Reilly PF, Oskarsson H, Owen MJ, Painter JN, Pedersen CB, Pedersen MG, Peterson RE, Peyrot WJ, Pistis G, Posthuma D, Quiroz JA, Qvist P, Rice JP, Riley BP, Rivera M, Mirza SS, Schoevers R, Schulte EC, Shen L, Shi J, Shyn SI, Sigurdsson E, Sinnamon GC, Smit JH, Smith DJ, Stefansson H, Steinberg S, Streit F, Strohmaier J, Tansey KE, Teismann H, Teumer A, Thompson W, Thomson PA, Thorgeirsson TE, Traylor M, Treutlein J, Trubetskoy V, Uitterlinden AG, Umbricht D, Van der Auwera S, van Hemert AM, Viktorin A, Visscher PM, Wang Y, Webb BT, Weinsheimer SM, Wellmann J, Willemsen G, Witt SH, Wu Y, Xi HS, Yang J, Zhang F, Arolt V, Baune BT, Berger K, Boomsma DI, Cichon S, Dannlowski U, de Geus E, DePaulo JR, Domenici E, Domschke K, Esko T, Grabe HJ, Hamilton SP, Hayward C, Heath AC, Kendler KS, Kloiber S, Lewis G, Li QS, Lucae S, Madden PA, Magnusson PK, Martin NG, McIntosh AM, Metspalu A, Mors O, Mortensen PB, Müller-Myhsok B, Nordentoft M, Nöthen MM, O’Donovan MC, Paciga SA, Pedersen NL, Penninx BW, Perlis RH, Porteous DJ, Potash JB, Preisig M, Rietschel M, Schaefer C, Schulze TG, Smoller JW, Stefansson K, Tiemeier H, Uher R, Völzke H, Weissman MM, Werge T, Lewis CM, Levinson DF, Breen G, Børglum AD, Sullivan PF. Identifying the Common Genetic Basis of Antidepressant Response. Biol Psychiatry Glob Open Sci 2022; 2:115-126. [PMID: 35712048 PMCID: PMC9117153 DOI: 10.1016/j.bpsgos.2021.07.008] [Citation(s) in RCA: 26] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2021] [Revised: 07/15/2021] [Accepted: 07/19/2021] [Indexed: 01/20/2023] Open
Abstract
Background Antidepressants are a first-line treatment for depression. However, only a third of individuals experience remission after the first treatment. Common genetic variation, in part, likely regulates antidepressant response, yet the success of previous genome-wide association studies has been limited by sample size. This study performs the largest genetic analysis of prospectively assessed antidepressant response in major depressive disorder to gain insight into the underlying biology and enable out-of-sample prediction. Methods Genome-wide analysis of remission (n remit = 1852, n nonremit = 3299) and percentage improvement (n = 5218) was performed. Single nucleotide polymorphism-based heritability was estimated using genome-wide complex trait analysis. Genetic covariance with eight mental health phenotypes was estimated using polygenic scores/AVENGEME. Out-of-sample prediction of antidepressant response polygenic scores was assessed. Gene-level association analysis was performed using MAGMA and transcriptome-wide association study. Tissue, pathway, and drug binding enrichment were estimated using MAGMA. Results Neither genome-wide association study identified genome-wide significant associations. Single nucleotide polymorphism-based heritability was significantly different from zero for remission (h 2 = 0.132, SE = 0.056) but not for percentage improvement (h 2 = -0.018, SE = 0.032). Better antidepressant response was negatively associated with genetic risk for schizophrenia and positively associated with genetic propensity for educational attainment. Leave-one-out validation of antidepressant response polygenic scores demonstrated significant evidence of out-of-sample prediction, though results varied in external cohorts. Gene-based analyses identified ETV4 and DHX8 as significantly associated with antidepressant response. Conclusions This study demonstrates that antidepressant response is influenced by common genetic variation, has a genetic overlap schizophrenia and educational attainment, and provides a useful resource for future research. Larger sample sizes are required to attain the potential of genetics for understanding and predicting antidepressant response.
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Bastin B, Thompson W, Benzinger MJ, Crowley ES, Vandoros EJ, Leonte AM, Thomas D, Hughes A, Crabtree D, Evans K, Sohier D. Evaluation of the Thermo ScientificTM SureTectTMListeria monocytogenes PCR Assay in a Broad Range of Foods and Selected Environmental Surfaces: Pre-Collaborative and Collaborative Study, First Action 2021.05. J AOAC Int 2022; 105:1069-1091. [PMID: 35179597 PMCID: PMC9247701 DOI: 10.1093/jaoacint/qsac027] [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: 02/02/2022] [Accepted: 02/12/2022] [Indexed: 11/15/2022]
Abstract
BACKGROUND The Thermo Scientific™ SureTect™ Listeria monocytogenes PCR Assay utilizes Solaris reagents for performing PCR for the rapid and specific detection of Listeria monocytogenes in a broad range of foods and selected environmental surfaces. OBJECTIVES To demonstrate reproducibility of the SureTect Listeria monocytogenes PCR Assay in a collaborative study using a challenging matrix, full-fat cottage cheese (25 g). To extend the scope of the method. METHOD In the collaborative study, the candidate method was compared to the United States Food and Drug Administration/Bacteriological Analytical Manual (FDA/BAM) Chapter 10 Listeria reference method. The candidate method used two PCR thermocyclers, the Applied Biosystems™ QuantStudio™ 5 Real-Time PCR instrument (QS5) and the Applied Biosystems 7500 Fast Real-Time PCR instrument (7500 Fast). Eighteen participants from 10 laboratories located within the United States and Europe were solicited for the collaborative study, with 12 participants submitting valid data. Three levels of contamination were evaluated for each matrix. Statistical analysis was conducted according to the probability of detection (POD) statistical model. In addition, in order to extend the scope, 6 matrix studies were performed comparing the candidate method to the FDA/BAM reference method. One of these matrices was also compared to the ISO 11290-1:2017 Microbiology of the food chain - Horizontal method for the detection and enumeration of Listeria monocytogenes and of Listeria spp. - Part 1: Detection method reference method. RESULTS In the collaborative study, the difference in laboratory results indicate equivalence between the candidate method and reference method for the matrix evaluated and the method demonstrated acceptable inter-laboratory reproducibility as determined in the collaborative evaluation. The two PCR instruments used in the study performed equivalently. All presumptive positives were confirmed via the alternative confirmation procedure. In the pre-collaborative studies, the results showed comparable performances between the candidate method and the reference method for all matrices tested. CONCLUSION Based on the data generated, the method demonstrated acceptable inter-laboratory reproducibility data and statistical analysis. HIGHLIGHTS Due to the Covid-19 pandemic, some participants had to be trained remotely. Additionally, 25 g full-fat cottage cheese is known to be a challenging matrix to test. No unusual cross-contamination, or false positive/negative data was reported, highlighting the ease of use, reproducibility, and robustness of the method.
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Affiliation(s)
| | | | | | - Erin S Crowley
- Q Laboratories, 1930 Radcliff Drive, Cincinnati, OH 45204
| | - Evangelos J Vandoros
- Thermo Fisher Scientific, Wade Road, Basingstoke, Hampshire, RG24 8PW, United Kingdom
| | - Ana-Maria Leonte
- Thermo Fisher Scientific, Wade Road, Basingstoke, Hampshire, RG24 8PW, United Kingdom
| | - Daniel Thomas
- Thermo Fisher Scientific, Wade Road, Basingstoke, Hampshire, RG24 8PW, United Kingdom
| | - Annette Hughes
- Thermo Fisher Scientific, Wade Road, Basingstoke, Hampshire, RG24 8PW, United Kingdom
| | - David Crabtree
- Thermo Fisher Scientific, Wade Road, Basingstoke, Hampshire, RG24 8PW, United Kingdom
| | - Katharine Evans
- Thermo Fisher Scientific, Wade Road, Basingstoke, Hampshire, RG24 8PW, United Kingdom
| | - Daniele Sohier
- Thermo Fisher Scientific, Wade Road, Basingstoke, Hampshire, RG24 8PW, United Kingdom
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14
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Hernandez LM, Kim M, Hernandez C, Thompson W, Fan CC, Galván A, Dapretto M, Bookheimer SY, Fuligni A, Gandal MJ. Decoupling Sleep and Brain Size in Childhood: An Investigation of Genetic Covariation in the Adolescent Brain Cognitive Development Study. Biol Psychiatry Glob Open Sci 2022; 3:139-148. [PMID: 36712562 PMCID: PMC9874135 DOI: 10.1016/j.bpsgos.2021.12.011] [Citation(s) in RCA: 1] [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] [Received: 08/18/2021] [Revised: 12/17/2021] [Accepted: 12/22/2021] [Indexed: 02/01/2023] Open
Abstract
Background Childhood sleep problems are common and among the most frequent and impairing comorbidities of childhood psychiatric disorders. In adults, sleep disturbances are heritable and show strong genetic associations with brain morphology; however, little is known about the genetic architecture of childhood sleep and potential etiological links between sleep, brain development, and pediatric-onset psychiatric symptoms. Methods Using data from the Adolescent Brain Cognitive Development Study (n Phenotype = 4428 for discovery/replication, n Genetics = 4728; age 9-10 years), we assessed phenotypic relationships, heritability, and genetic correlations between childhood sleep disturbances (insomnia, arousal, breathing, somnolence, hyperhidrosis, sleep-wake transitions), brain size (surface area, cortical thickness, volume), and dimensional psychopathology. Results Sleep disturbances showed widespread positive associations with multiple domains of childhood psychopathology; however, only insomnia showed replicable associations with smaller brain surface area. Among the sleep disturbances assessed, only insomnia showed significant heritability (h 2 SNP = 0.15, p < .05) and showed substantial genetic correlations with externalizing and attention-deficit/hyperactivity disorder symptomatology (r G s > 0.80, ps < .05). We found no evidence of genetic correlation between childhood insomnia and brain size. Furthermore, polygenic risk scores calculated from genome-wide association studies of adult insomnia and adult brain size did not predict childhood insomnia; instead, polygenic risk scores trained using attention-deficit/hyperactivity disorder genome-wide association studies predicted decreased surface area at baseline as well as insomnia and externalizing symptoms longitudinally. Conclusions Findings demonstrate a distinct genetic architecture underlying childhood insomnia and brain size and suggest genetic overlap between childhood insomnia and attention-deficit/hyperactivity disorder symptomatology. Additional research is needed to examine how genetic risk manifests in altered developmental trajectories and comorbid sleep/psychiatric symptoms across adolescence.
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Affiliation(s)
- Leanna M. Hernandez
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California,Leanna Hernandez, Ph.D.
| | - Minsoo Kim
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California,Program in Neurobehavioral Genetics, Semel Institute, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California,Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California
| | - Cristian Hernandez
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California
| | - Wesley Thompson
- Department of Family Medicine and Public Health, University of California San Diego, San Diego, California
| | - Chun Chieh Fan
- Center for Human Development, University of California San Diego, San Diego, California
| | - Adriana Galván
- Department of Psychology, University of California, Los Angeles, Los Angeles, California
| | - Mirella Dapretto
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California,Ahmanson-Lovelace Brain Mapping Center, University of California, Los Angeles, Los Angeles, California
| | - Susan Y. Bookheimer
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California,Staglin IMHRO Center for Cognitive Neuroscience, University of California, Los Angeles, Los Angeles, California
| | - Andrew Fuligni
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California,Department of Psychology, University of California, Los Angeles, Los Angeles, California
| | - Michael J. Gandal
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California,Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California,Address correspondence to Michael J. Gandal, M.D., Ph.D.
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15
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Bastin B, Thompson W, Benzinger MJ, Crowley ES, Vandoros EJ, Leonte AM, Thomas D, Hughes A, Crabtree D, Evans K, Sohier D. OUP accepted manuscript. J AOAC Int 2022; 105:1367-1389. [PMID: 35426930 PMCID: PMC9383738 DOI: 10.1093/jaoacint/qsac044] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Revised: 03/23/2022] [Accepted: 03/23/2022] [Indexed: 11/14/2022]
Affiliation(s)
- Benjamin Bastin
- Research and Development, Q Laboratories, 1930 Radcliff Dr, Cincinnati, OH 45204, USA
| | - Wesley Thompson
- Research and Development, Q Laboratories, 1930 Radcliff Dr, Cincinnati, OH 45204, USA
| | - M Joseph Benzinger
- Research and Development, Q Laboratories, 1930 Radcliff Dr, Cincinnati, OH 45204, USA
| | - Erin S Crowley
- Research and Development, Q Laboratories, 1930 Radcliff Dr, Cincinnati, OH 45204, USA
| | | | - Ana-Maria Leonte
- Research and Development, Thermo Fisher Scientific, Wade Rd, Basingstoke, Hampshire, RG24 8PW, UK
| | - Daniel Thomas
- Research and Development, Thermo Fisher Scientific, Wade Rd, Basingstoke, Hampshire, RG24 8PW, UK
| | - Annette Hughes
- Research and Development, Thermo Fisher Scientific, Wade Rd, Basingstoke, Hampshire, RG24 8PW, UK
| | - David Crabtree
- Research and Development, Thermo Fisher Scientific, Wade Rd, Basingstoke, Hampshire, RG24 8PW, UK
| | - Katharine Evans
- Research and Development, Thermo Fisher Scientific, Wade Rd, Basingstoke, Hampshire, RG24 8PW, UK
| | - Daniele Sohier
- Research and Development, Thermo Fisher Scientific, Wade Rd, Basingstoke, Hampshire, RG24 8PW, UK
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16
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Rosauer ML, Silbernagel KM, Thompson W. Evaluation of the 3M™ Environmental Scrub Sampler with Wide-Spectrum Neutralizer: AOAC® Performance Tested MethodSM 022104. J AOAC Int 2021; 105:876-888. [PMID: 34677576 PMCID: PMC9046969 DOI: 10.1093/jaoacint/qsab136] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Accepted: 10/06/2021] [Indexed: 11/13/2022]
Abstract
BACKGROUND The 3M™ Environmental Scrub Sampler with 10 mL Wide Spectrum Neutralizer is a non-specific sampling device intended for use for environmental monitoring surface sampling. OBJECTIVE To evaluate 3M Wide Spectrum Neutralizer using the 3M Environmental Scrub Samplers for AOAC Performance Tested MethodsSM (PTM) certification. METHODS Matrix studies, inclusivity/exclusivity, product consistency/stability, neutralization, and robustness testing were conducted for Salmonella and Listeria species. Stainless steel, sealed concrete, and plastic environmental surfaces were evaluated in the matrix study comparing the performance of the 3M™ method for sample collection to that of the U.S Food and Drug Administration/Bacteriological Analytical Manual reference methods. Four classes of sanitizers, quaternary ammonium, high acid, hydrogen/peroxyacetic acid and chlorine/bleach-based, were assessed in the neutralization study following ASTM E1054-08, Standard Test Methods for Evaluation of Antimicrobial Agents. The other testing parameters followed typical PTM study design. RESULTS In matrix studies the 3M sampling device demonstrated no significant differences between candidate and reference sampling method results. All inclusivity organisms were detected, and all exclusivity organisms were excluded for both Salmonella and Listeria strains when tested by the appropriate FDA/BAM detection method. Robustness, product consistency, and stability studies showed the sampling device is not affected by lot or testing parameter differences. The Wide Spectrum Neutralizer was proven to effectively neutralize sanitizers at the concentrations tested and was itself shown to be non-toxic and did not affect target microorganism recovery. CONCLUSIONS The 3M Environmental Scrub Sampler with 10 mL Wide Spectrum Neutralizer is an effective, stable, robust sampling device for the recovery of Salmonella spp. and Listeria spp. HIGHLIGHT The 3M Environmental Scrub Sampler with 10 mL Wide Spectrum Neutralizer is an acceptable sampling device for use in FDA BAM Salmonella and Listeria reference methods.
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Affiliation(s)
- Micki L Rosauer
- 3M Company, Food Safety Department, St. Paul, MN, 55144-1000
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17
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Evans K, Faulds N, Crabtree D, Hughes A, Sohier D, Manthe C, Hahs M, Heikkinen P, Hurskainen E, Koch K, Thompson W, Bastin B, Benzinger MJ. Validation of the Thermo Scientific™ SureTect™ Staphylococcus aureus PCR Assay for the Detection of Staphylococcus aureus in Dairy Matrices: AOAC Performance Tested MethodsSM 052101. J AOAC Int 2021; 105:492-505. [PMID: 34613394 PMCID: PMC8924648 DOI: 10.1093/jaoacint/qsab127] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2021] [Accepted: 09/09/2021] [Indexed: 11/12/2022]
Abstract
BACKGROUND The Thermo Scientific™ SureTect™ Staphylococcus aureus PCR Assay is a real-time PCR assay for the detection of Staphylococcus aureus in dairy samples. OBJECTIVE The Thermo Scientific™ SureTect™ Staphylococcus aureus PCR Assay was evaluated for AOAC® Performance Tested MethodsSM certification. METHODS Inclusivity/exclusivity, matrix studies, product consistency and stability, and robustness testing were conducted to assess the method's performance. For the matrix study, the method was validated on the Applied Biosystems™ QuantStudio™ 5 Real-Time PCR instrument and the Applied Biosystems™ 7500 Fast Real-Time PCR instrument against the ISO 6888-3:2003 Microbiology of food and animal feeding stuffs-Horizontal method for the enumeration of coagulase-positive staphylococci (Staphylococcus aureus and other species) - Part 3: Detection and MPN technique for low numbers and the U.S FDA Bacteriological Analytical Manual CH. 12, Staphylococcus aureus, 2016, reference methods. RESULTS Matrix studies showed no statistically significant differences between the candidate and reference method or between presumptive and confirmed results. The inclusivity/exclusivity study correctly identified/excluded all strains analyzed. Robustness testing showed no statistically significant difference in assay performance after set method parameter deviations, and product consistency and stability studies demonstrated no statistically significant differences in performance between kit lots at different expiration points. CONCLUSIONS The data presented shows that the assay is a rapid and reliable workflow for the detection of S. aureus from dairy matrices. HIGHLIGHTS The PCR assay allows for fast, reliable detection of S. aureus in dairy matrixes with results obtained in as little as 80 minutes post enrichment.
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Affiliation(s)
| | - Nikki Faulds
- Oxoid Ltd, Thermo Fisher Scientific, Basingstoke, Uk
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18
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Brumback T, Thompson W, Cummins K, Brown S, Tapert S. Psychosocial predictors of substance use in adolescents and young adults: Longitudinal risk and protective factors. Addict Behav 2021; 121:106985. [PMID: 34087768 PMCID: PMC8240028 DOI: 10.1016/j.addbeh.2021.106985] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [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: 01/30/2020] [Revised: 04/01/2021] [Accepted: 05/08/2021] [Indexed: 11/26/2022]
Abstract
Many psychosocial factors have been implicated in the onset and escalation of substance use in adolescence and young adulthood. Typically, each factor explains a small amount of the variance in substance use outcomes, and effects are typically applied across a broad range of ages or computed from cross-sectional data. The current study evaluated the association of factors including social influence (e.g., peer substance use), cognitive features (e.g., alcohol expectancies), and personality and emotional characteristics (e.g., impulsivity and typical responses to stress) in substance use throughout adolescence and emerging adulthood (ages 13-25; N = 798). Mixed-effects models tailored for the accelerated longitudinal design employed in this study were constructed with psychosocial and developmental factors predicting alcohol and cannabis use. As most participants in the sample exhibited little or no substance use at baseline by design, we excluded baseline assessments and examined data from follow-up years 1, 2, 3, and 4. Interactions between age cohort, change in age, and psychosocial predictors of substance use revealed differing associations over the developmental window for alcohol and cannabis use. For example, positive alcohol expectancies and sensation seeking were most strongly associated with greater drinking after age 18, whereas sensation seeking was associated with increased cannabis use as early as age 15. Higher emotion regulation skills led to less cannabis use in younger ages (i.e., shallower slopes below age 17), but this protective effect diminished after age 17. Results highlight developmentally important factors that differentially contribute to substance use in adolescence and young adulthood. We also demonstrate the importance of developmentally sensitive analyses that maximize the value of data from accelerated longitudinal designs.
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Affiliation(s)
- Ty Brumback
- Northern Kentucky University, United States.
| | | | | | - Sandra Brown
- University of California, San Diego, United States
| | - Susan Tapert
- University of California, San Diego, United States
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19
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Bastin B, Thompson W, Benzinger MJ, Crowley ES, Leonte AM, Vandoros EJ, Thomas D, Hughes A, Crabtree D, Evans K, Sohier D. Evaluation of the Thermo Scientific SureTect Salmonella Species PCR Assay in a Broad Range of Foods and Select Environmental Surfaces: Pre-Collaborative and Collaborative Study: First Action 2021.02. J AOAC Int 2021; 105:167-190. [PMID: 34586389 PMCID: PMC8500116 DOI: 10.1093/jaoacint/qsab122] [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: 06/25/2021] [Revised: 08/20/2021] [Accepted: 08/25/2021] [Indexed: 12/05/2022]
Abstract
Background The Thermo Scientific™ SureTect™ Salmonella species PCR Assay utilizes Solaris™ reagents for performing PCR for the rapid and specific detection of Salmonella species in a broad range of foods and select environmental surfaces. Objective The aims were to demonstrate the reproducibility of the Thermo Scientific SureTect Salmonella species PCR Assay in a collaborative study using a challenging matrix, cocoa powder, and to extend the scope of the method. Method In the collaborative study, the candidate method was compared to the US Food and Drug Administration (FDA) Bacteriological Analytical Manual (BAM) Chapter 5 Salmonella reference method. The candidate method used two PCR thermocyclers, the Applied Biosystems™ QuantStudio™ 5 Real-Time PCR instrument (QS5) and the Applied Biosystems 7500 Fast Real-Time PCR instrument (7500 Fast). Fourteen participants from nine laboratories located within the United States and Europe were solicited for the collaborative study, with 12 participants submitting valid data. Three levels of contamination were evaluated for each matrix. Statistical analysis was conducted according to the probability of detection statistical model. In addition, 11 matrix studies were performed comparing the candidate method to the FDA/BAM Chapter 5 or US Department of Agriculture, Food Safety and Inspection Service, Microbiology Laboratory Guidebook 4.10 Isolation and Identification of Salmonella from Meat, Poultry, Pasteurized Egg, and Siluriformes (Fish) Products and Carcass and Environmental Sponges reference method. Nine of these matrices were also compared to the EN ISO 6579–1:2017/Amd.1:2020(E) Microbiology of the food chain—Horizontal method for the detection, enumeration and serotyping of Salmonella—Part 1: Detection of Salmonella spp.—AMENDMENT 1: Broader range of incubation temperatures, amendment to the status of Annex D, and correction of the composition of MSRV and SC reference method. Results In the collaborative study, the difference in laboratory results indicates equivalence between the candidate method and reference method for the matrix evaluated, and the method demonstrated acceptable interlaboratory reproducibility as determined in the collaborative evaluation. False-positive and false-negative rates were determined for the matrix and produced values of <2%. The two PCR thermocyclers (QS5, 7500 Fast) performed equivalently. There were no result differences between candidate method confirmations and reference method confirmations. In the pre-collaborative matrix extension, the results from the matrix studies showed a comparable performance between the candidate method and the tested reference methods. Conclusions Based on the data generated, the method demonstrated acceptable interlaboratory reproducibility data and statistical analysis. Highlights Due to the COVID-19 pandemic, some participants had to be trained remotely. Additionally, 375 g cocoa powder is known to be a challenging matrix for PCR methods. No unusual cross-contamination or false-positive/negative was reported, highlighting the ease of use, reproducibility, and robustness of the method.
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Affiliation(s)
| | | | | | - Erin S Crowley
- Q Laboratories, 1930 Radcliff Drive, Cincinnati, Oh, 45204
| | - Ana-Maria Leonte
- Thermo Fisher Scientific, Wade Road, Basingstoke, Hampshire, RG24 8PW, United Kingdom
| | - Evangelos J Vandoros
- Thermo Fisher Scientific, Wade Road, Basingstoke, Hampshire, RG24 8PW, United Kingdom
| | - Daniel Thomas
- Thermo Fisher Scientific, Wade Road, Basingstoke, Hampshire, RG24 8PW, United Kingdom
| | - Annette Hughes
- Thermo Fisher Scientific, Wade Road, Basingstoke, Hampshire, RG24 8PW, United Kingdom
| | - David Crabtree
- Thermo Fisher Scientific, Wade Road, Basingstoke, Hampshire, RG24 8PW, United Kingdom
| | - Katharine Evans
- Thermo Fisher Scientific, Wade Road, Basingstoke, Hampshire, RG24 8PW, United Kingdom
| | - Daniele Sohier
- Thermo Fisher Scientific, Wade Road, Basingstoke, Hampshire, RG24 8PW, United Kingdom
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20
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Chaarani B, Hahn S, Allgaier N, Adise S, Owens MM, Juliano AC, Yuan DK, Loso H, Ivanciu A, Albaugh MD, Dumas J, Mackey S, Laurent J, Ivanova M, Hagler DJ, Cornejo MD, Hatton S, Agrawal A, Aguinaldo L, Ahonen L, Aklin W, Anokhin AP, Arroyo J, Avenevoli S, Babcock D, Bagot K, Baker FC, Banich MT, Barch DM, Bartsch H, Baskin-Sommers A, Bjork JM, Blachman-Demner D, Bloch M, Bogdan R, Bookheimer SY, Breslin F, Brown S, Calabro FJ, Calhoun V, Casey BJ, Chang L, Clark DB, Cloak C, Constable RT, Constable K, Corley R, Cottler LB, Coxe S, Dagher RK, Dale AM, Dapretto M, Delcarmen-Wiggins R, Dick AS, Do EK, Dosenbach NUF, Dowling GJ, Edwards S, Ernst TM, Fair DA, Fan CC, Feczko E, Feldstein-Ewing SW, Florsheim P, Foxe JJ, Freedman EG, Friedman NP, Friedman-Hill S, Fuemmeler BF, Galvan A, Gee DG, Giedd J, Glantz M, Glaser P, Godino J, Gonzalez M, Gonzalez R, Grant S, Gray KM, Haist F, Harms MP, Hawes S, Heath AC, Heeringa S, Heitzeg MM, Hermosillo R, Herting MM, Hettema JM, Hewitt JK, Heyser C, Hoffman E, Howlett K, Huber RS, Huestis MA, Hyde LW, Iacono WG, Infante MA, Irfanoglu O, Isaiah A, Iyengar S, Jacobus J, James R, Jean-Francois B, Jernigan T, Karcher NR, Kaufman A, Kelley B, Kit B, Ksinan A, Kuperman J, Laird AR, Larson C, LeBlanc K, Lessov-Schlagger C, Lever N, Lewis DA, Lisdahl K, Little AR, Lopez M, Luciana M, Luna B, Madden PA, Maes HH, Makowski C, Marshall AT, Mason MJ, Matochik J, McCandliss BD, McGlade E, Montoya I, Morgan G, Morris A, Mulford C, Murray P, Nagel BJ, Neale MC, Neigh G, Nencka A, Noronha A, Nixon SJ, Palmer CE, Pariyadath V, Paulus MP, Pelham WE, Pfefferbaum D, Pierpaoli C, Prescot A, Prouty D, Puttler LI, Rajapaske N, Rapuano KM, Reeves G, Renshaw PF, Riedel MC, Rojas P, de la Rosa M, Rosenberg MD, Ross MJ, Sanchez M, Schirda C, Schloesser D, Schulenberg J, Sher KJ, Sheth C, Shilling PD, Simmons WK, Sowell ER, Speer N, Spittel M, Squeglia LM, Sripada C, Steinberg J, Striley C, Sutherland MT, Tanabe J, Tapert SF, Thompson W, Tomko RL, Uban KA, Vrieze S, Wade NE, Watts R, Weiss S, Wiens BA, Williams OD, Wilbur A, Wing D, Wolff-Hughes D, Yang R, Yurgelun-Todd DA, Zucker RA, Potter A, Garavan HP. Baseline brain function in the preadolescents of the ABCD Study. Nat Neurosci 2021; 24:1176-1186. [PMID: 34099922 PMCID: PMC8947197 DOI: 10.1038/s41593-021-00867-9] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2019] [Accepted: 04/30/2021] [Indexed: 02/05/2023]
Abstract
The Adolescent Brain Cognitive Development (ABCD) Study® is a 10-year longitudinal study of children recruited at ages 9 and 10. A battery of neuroimaging tasks are administered biennially to track neurodevelopment and identify individual differences in brain function. This study reports activation patterns from functional MRI (fMRI) tasks completed at baseline, which were designed to measure cognitive impulse control with a stop signal task (SST; N = 5,547), reward anticipation and receipt with a monetary incentive delay (MID) task (N = 6,657) and working memory and emotion reactivity with an emotional N-back (EN-back) task (N = 6,009). Further, we report the spatial reproducibility of activation patterns by assessing between-group vertex/voxelwise correlations of blood oxygen level-dependent (BOLD) activation. Analyses reveal robust brain activations that are consistent with the published literature, vary across fMRI tasks/contrasts and slightly correlate with individual behavioral performance on the tasks. These results establish the preadolescent brain function baseline, guide interpretation of cross-sectional analyses and will enable the investigation of longitudinal changes during adolescent development.
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Affiliation(s)
- B Chaarani
- Department of Psychiatry, University of Vermont, Burlington, VT, USA.
| | - S Hahn
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
| | - N Allgaier
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
| | - S Adise
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
| | - M M Owens
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
| | - A C Juliano
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
| | - D K Yuan
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
| | - H Loso
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
| | - A Ivanciu
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
| | - M D Albaugh
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
| | - J Dumas
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
| | - S Mackey
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
| | - J Laurent
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
| | - M Ivanova
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
| | - D J Hagler
- University of California, San Diego, La Jolla, CA, USA
| | - M D Cornejo
- Institute of Physics UC, Pontificia Universidad Catolica de Chile, Pontificia, Chile
| | - S Hatton
- University of California, San Diego, La Jolla, CA, USA
| | - A Agrawal
- Department of Psychiatry, Washington University in Saint Louis, St. Louis, MO, USA
| | - L Aguinaldo
- University of California, San Diego, La Jolla, CA, USA
| | - L Ahonen
- University of Pittsburgh, Pittsburgh, PA, USA
| | - W Aklin
- National Institute on Drug Abuse, Bethesda, MD, USA
| | - A P Anokhin
- Department of Psychiatry, Washington University in Saint Louis, St. Louis, MO, USA
| | - J Arroyo
- National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD, USA
| | - S Avenevoli
- National Institute of Mental Health, Bethesda, MD, USA
| | - D Babcock
- National Institute of Neurological Disorders and Stroke, Bethesda, MD, USA
| | - K Bagot
- Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - F C Baker
- SRI International, Menlo Park, CA, USA
| | - M T Banich
- University of Colorado, Boulder, CO, USA
| | - D M Barch
- Department of Psychiatry, Washington University in Saint Louis, St. Louis, MO, USA
| | - H Bartsch
- Haukeland University Hospital, Bergen, Norway
| | | | - J M Bjork
- Virginia Commonwealth University, Richmond, VA, USA
| | - D Blachman-Demner
- NIH Office of Behavioral and Social Sciences Research, Bethesda, MD, USA
| | - M Bloch
- National Cancer Institute, Bethesda, MD, USA
| | - R Bogdan
- Department of Psychiatry, Washington University in Saint Louis, St. Louis, MO, USA
| | | | - F Breslin
- Laureate Institute for Brain Research, Tulsa, OK, USA
| | - S Brown
- University of California, San Diego, La Jolla, CA, USA
| | - F J Calabro
- University of Pittsburgh, Pittsburgh, PA, USA
| | - V Calhoun
- University of Colorado, Boulder, CO, USA
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science, Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, USA
| | | | - L Chang
- University of Maryland School of Medicine, Baltimore, MD, USA
| | - D B Clark
- University of Pittsburgh, Pittsburgh, PA, USA
| | - C Cloak
- University of Maryland School of Medicine, Baltimore, MD, USA
| | | | - K Constable
- National Institute on Drug Abuse, Bethesda, MD, USA
| | - R Corley
- University of Colorado, Boulder, CO, USA
| | | | - S Coxe
- Florida International University, Miami, FL, USA
| | - R K Dagher
- National Institute on Minority Health and Health Disparities, Bethesda, MD, USA
| | - A M Dale
- University of California, San Diego, La Jolla, CA, USA
| | - M Dapretto
- University of California, Los Angeles, CA, USA
| | | | - A S Dick
- Florida International University, Miami, FL, USA
| | - E K Do
- Virginia Commonwealth University, Richmond, VA, USA
| | - N U F Dosenbach
- Department of Psychiatry, Washington University in Saint Louis, St. Louis, MO, USA
| | - G J Dowling
- National Institute on Drug Abuse, Bethesda, MD, USA
| | - S Edwards
- University of Maryland School of Medicine, Baltimore, MD, USA
| | - T M Ernst
- University of Maryland School of Medicine, Baltimore, MD, USA
| | - D A Fair
- Oregon Health & Science University, Portland, OR, USA
| | - C C Fan
- Department of Psychiatry, Washington University in Saint Louis, St. Louis, MO, USA
| | - E Feczko
- Oregon Health & Science University, Portland, OR, USA
| | | | | | - J J Foxe
- University of Rochester, Rochester, NY, USA
| | | | | | | | | | - A Galvan
- University of California, Los Angeles, CA, USA
| | - D G Gee
- Yale University, New Haven, CT, USA
| | - J Giedd
- University of California, San Diego, La Jolla, CA, USA
| | - M Glantz
- National Institute on Drug Abuse, Bethesda, MD, USA
| | - P Glaser
- Department of Psychiatry, Washington University in Saint Louis, St. Louis, MO, USA
| | - J Godino
- University of California, San Diego, La Jolla, CA, USA
| | - M Gonzalez
- Children's Hospital Los Angeles, Los Angeles, CA, USA
| | - R Gonzalez
- Florida International University, Miami, FL, USA
| | - S Grant
- National Institute on Drug Abuse, Bethesda, MD, USA
| | - K M Gray
- Medical University of South Carolina, Charleston, SC, USA
| | - F Haist
- University of California, San Diego, La Jolla, CA, USA
| | - M P Harms
- Department of Psychiatry, Washington University in Saint Louis, St. Louis, MO, USA
| | - S Hawes
- Florida International University, Miami, FL, USA
| | - A C Heath
- University of California, San Diego, La Jolla, CA, USA
| | - S Heeringa
- University of Michigan, Ann Arbor, MI, USA
| | | | - R Hermosillo
- Oregon Health & Science University, Portland, OR, USA
| | - M M Herting
- University of Southern California, Los Angeles, CA, USA
| | - J M Hettema
- Virginia Commonwealth University, Richmond, VA, USA
| | - J K Hewitt
- University of Colorado, Boulder, CO, USA
| | - C Heyser
- University of California, San Diego, La Jolla, CA, USA
| | - E Hoffman
- National Institute on Drug Abuse, Bethesda, MD, USA
| | - K Howlett
- National Institute on Drug Abuse, Bethesda, MD, USA
| | - R S Huber
- University of Utah, Salt Lake City, UT, USA
| | - M A Huestis
- Thomas Jefferson University, Philadelphia, PA, USA
| | - L W Hyde
- University of Michigan, Ann Arbor, MI, USA
| | - W G Iacono
- University of Minnesota, Minneapolis, MN, USA
| | - M A Infante
- University of California, San Diego, La Jolla, CA, USA
| | - O Irfanoglu
- National Institute of Biomedical Imaging and Bioengineering, Bethesda, MD, USA
| | - A Isaiah
- University of Maryland School of Medicine, Baltimore, MD, USA
| | - S Iyengar
- National Endowment for the Arts, Washington DC, USA
| | - J Jacobus
- University of California, San Diego, La Jolla, CA, USA
| | - R James
- Virginia Commonwealth University, Richmond, VA, USA
| | - B Jean-Francois
- National Institute on Minority Health and Health Disparities, Bethesda, MD, USA
| | - T Jernigan
- University of California, San Diego, La Jolla, CA, USA
| | - N R Karcher
- Department of Psychiatry, Washington University in Saint Louis, St. Louis, MO, USA
| | - A Kaufman
- National Cancer Institute, Bethesda, MD, USA
| | - B Kelley
- National Institute of Justice, Washington DC, USA
| | - B Kit
- National Heart, Lung, and Blood Institute, Bethesda, MD, USA
| | - A Ksinan
- Virginia Commonwealth University, Richmond, VA, USA
| | - J Kuperman
- University of California, San Diego, La Jolla, CA, USA
| | - A R Laird
- Florida International University, Miami, FL, USA
| | - C Larson
- University of Wisconsin, Milwaukee, WI, USA
| | - K LeBlanc
- National Institute on Drug Abuse, Bethesda, MD, USA
| | - C Lessov-Schlagger
- Department of Psychiatry, Washington University in Saint Louis, St. Louis, MO, USA
| | - N Lever
- University of Maryland School of Medicine, Baltimore, MD, USA
| | - D A Lewis
- University of Pittsburgh, Pittsburgh, PA, USA
| | - K Lisdahl
- University of Wisconsin, Milwaukee, WI, USA
| | - A R Little
- National Institute on Drug Abuse, Bethesda, MD, USA
| | - M Lopez
- National Institute on Drug Abuse, Bethesda, MD, USA
| | - M Luciana
- University of Minnesota, Minneapolis, MN, USA
| | - B Luna
- University of Pittsburgh, Pittsburgh, PA, USA
| | - P A Madden
- Department of Psychiatry, Washington University in Saint Louis, St. Louis, MO, USA
| | - H H Maes
- Virginia Commonwealth University, Richmond, VA, USA
| | - C Makowski
- University of California, San Diego, La Jolla, CA, USA
| | - A T Marshall
- Children's Hospital Los Angeles, Los Angeles, CA, USA
| | - M J Mason
- University of Tennessee, Knoxville, TN, USA
| | - J Matochik
- National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD, USA
| | | | - E McGlade
- University of Utah, Salt Lake City, UT, USA
| | - I Montoya
- National Institute on Drug Abuse, Bethesda, MD, USA
| | - G Morgan
- National Cancer Institute, Bethesda, MD, USA
| | - A Morris
- Oklahoma State University, Stillwater, OK, USA
| | - C Mulford
- National Institute on Drug Abuse, Bethesda, MD, USA
| | - P Murray
- National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD, USA
| | - B J Nagel
- Oregon Health & Science University, Portland, OR, USA
| | - M C Neale
- Virginia Commonwealth University, Richmond, VA, USA
| | - G Neigh
- Virginia Commonwealth University, Richmond, VA, USA
| | - A Nencka
- Medical College of Wisconsin, Milwaukee, WI, USA
| | - A Noronha
- National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD, USA
| | - S J Nixon
- University of Florida, Gainesville, FL, USA
| | - C E Palmer
- University of California, San Diego, La Jolla, CA, USA
| | - V Pariyadath
- National Institute on Drug Abuse, Bethesda, MD, USA
| | - M P Paulus
- Laureate Institute for Brain Research, Tulsa, OK, USA
| | - W E Pelham
- Florida International University, Miami, FL, USA
| | | | - C Pierpaoli
- Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD, USA
| | - A Prescot
- University of Utah, Salt Lake City, UT, USA
| | - D Prouty
- SRI International, Menlo Park, CA, USA
| | | | - N Rajapaske
- National Institute on Minority Health and Health Disparities, Bethesda, MD, USA
| | | | - G Reeves
- University of Maryland School of Medicine, Baltimore, MD, USA
| | | | - M C Riedel
- Florida International University, Miami, FL, USA
| | - P Rojas
- Florida International University, Miami, FL, USA
| | - M de la Rosa
- Florida International University, Miami, FL, USA
| | | | - M J Ross
- University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - M Sanchez
- Florida International University, Miami, FL, USA
| | - C Schirda
- University of Pittsburgh, Pittsburgh, PA, USA
| | - D Schloesser
- NIH Office of Behavioral and Social Sciences Research, Bethesda, MD, USA
| | | | - K J Sher
- University of Missouri, Columbia, MO, USA
| | - C Sheth
- University of Utah, Salt Lake City, UT, USA
| | - P D Shilling
- University of California, San Diego, La Jolla, CA, USA
| | - W K Simmons
- Laureate Institute for Brain Research, Tulsa, OK, USA
| | - E R Sowell
- Children's Hospital Los Angeles, Los Angeles, CA, USA
| | - N Speer
- University of Colorado, Boulder, CO, USA
| | - M Spittel
- NIH Office of Behavioral and Social Sciences Research, Bethesda, MD, USA
| | - L M Squeglia
- Medical University of South Carolina, Charleston, SC, USA
| | - C Sripada
- University of Michigan, Ann Arbor, MI, USA
| | - J Steinberg
- Virginia Commonwealth University, Richmond, VA, USA
| | - C Striley
- University of Florida, Gainesville, FL, USA
| | | | - J Tanabe
- University of Colorado, Boulder, CO, USA
| | - S F Tapert
- University of California, San Diego, La Jolla, CA, USA
| | - W Thompson
- University of California, San Diego, La Jolla, CA, USA
| | - R L Tomko
- Medical University of South Carolina, Charleston, SC, USA
| | - K A Uban
- University of California, Irvine, CA, USA
| | - S Vrieze
- University of Minnesota, Minneapolis, MN, USA
| | - N E Wade
- University of California, San Diego, La Jolla, CA, USA
| | - R Watts
- Yale University, New Haven, CT, USA
| | - S Weiss
- National Institute on Drug Abuse, Bethesda, MD, USA
| | - B A Wiens
- University of Florida, Gainesville, FL, USA
| | - O D Williams
- Florida International University, Miami, FL, USA
| | - A Wilbur
- SRI International, Menlo Park, CA, USA
| | - D Wing
- University of California, San Diego, La Jolla, CA, USA
| | - D Wolff-Hughes
- NIH Office of Behavioral and Social Sciences Research, Bethesda, MD, USA
| | - R Yang
- University of California, San Diego, La Jolla, CA, USA
| | | | - R A Zucker
- University of Michigan, Ann Arbor, MI, USA
| | - A Potter
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
| | - H P Garavan
- Department of Psychiatry, University of Vermont, Burlington, VT, USA.
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21
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Pollard S, Singh AK, Lin A, Maloney J, Campos A, Khaksar R, Bastin B, Thompson W, Benzinger MJ, Agin J. Validation of the Clear Safety Listeria Method for Detection of Listeria Species in Hot Dogs and on Environmental Surface Matrixes: AOAC Performance Tested MethodSM 091901. J AOAC Int 2021; 105:211-229. [PMID: 34181026 DOI: 10.1093/jaoacint/qsab084] [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: 06/08/2021] [Accepted: 06/16/2021] [Indexed: 11/14/2022]
Abstract
BACKGROUND The Clear Safety Listeria method utilizes polymerase chain reaction (PCR) amplification and targeted Next-Generation Sequencing (NGS) technology to detect Listeria species (L. monocytogenes, L. innocua, L. ivanovii, L. marthii, L. grayi, L. welshimeri, and L. seeligeri) in hot dogs and on selected environmental surfaces. OBJECTIVE Validate the candidate method according to current AOAC guidelines. METHODS The candidate method was compared to the reference method for hot dogs and the environmental surfaces. The method was also evaluated for inclusivity and exclusivity using 50 inclusivity strains and 30 exclusivity strains for each reported target. Product consistency and stability was tested and robustness was evaluated with changes in enrichment temperature, volume of sample treatment, and aliquot volume for PCR. RESULTS The candidate method demonstrated no statistically significant differences using the probability of detection model between candidate and reference methods or between presumptive and confirmed results for all environmental surfaces and hot dogs. Additionally, the candidate method detected all inclusivity organisms and excluded all exclusivity organisms for each reported target. Product lots were shown to be consistent and data supported the kit's shelf-life. Finally, the robustness study demonstrated no statistical differences when the volume of sample or the aliquot volume for PCR was altered. Increasing the incubation temperature to 37 ± 1 °C resulted in greater recovery of L. monocytogenes as compared to 35 ± 1 °C and 30 ± 1 °C. CONCLUSIONS The Clear Safety Listeria method is statistically equivalent to the reference methods for the detection of L. monocytogenes and Listeria spp. in hot dogs and on selected environmental surfaces.
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Affiliation(s)
| | - Atul K Singh
- Clear Labs, Inc., 1559 Industrial Road, San Carlos, CA, USA 94070
| | - Andrew Lin
- Clear Labs, Inc., 1559 Industrial Road, San Carlos, CA, USA 94070
| | - James Maloney
- Clear Labs, Inc., 1559 Industrial Road, San Carlos, CA, USA 94070
| | - Anay Campos
- Clear Labs, Inc., 1559 Industrial Road, San Carlos, CA, USA 94070
| | - Ramin Khaksar
- Clear Labs, Inc., 1559 Industrial Road, San Carlos, CA, USA 94070
| | - Benjamin Bastin
- Q Laboratories, Inc., 1930 Radcliff Drive, Cincinnati, OH, USA 45214
| | - Wesley Thompson
- Q Laboratories, Inc., 1930 Radcliff Drive, Cincinnati, OH, USA 45214
| | | | - James Agin
- Q Laboratories, Inc., 1930 Radcliff Drive, Cincinnati, OH, USA 45214
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22
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Alles S, Roman B, Le QN, Kurteu M, Elmerhebi E, Potter C, Mozola M, Thompson W, Bastin B, Donofrio R. Validation of the One Broth One Plate for Salmonella Method for Detection of Salmonella Spp. in Select Food and Environmental Samples: AOAC Performance Tested MethodSM 102002. J AOAC Int 2021; 104:765-775. [PMID: 33175165 PMCID: PMC8372048 DOI: 10.1093/jaoacint/qsaa149] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2020] [Accepted: 10/27/2020] [Indexed: 11/20/2022]
Abstract
Background One Broth One Plate for Salmonella (OBOP Salmonella) is a rapid and simple method for detection of Salmonella spp. in food and environmental samples using traditional culture methodology. The method utilizes single-step enrichment followed by plating to a selective/differential, chromogenic agar. Objective The purpose of the validation study was to measure the effectiveness of the OBOP Salmonella method in comparison to reference culture procedures. Method Performance of the OBOP Salmonella method was compared to that of the U.S. Food and Drug Administration Bacteriological Analytical Manual Chapter 5 reference method for queso fresco, smoked salmon, cantaloupe, chocolate, black pepper, chili powder, dry pet food, and sponge samples from a stainless steel surface, or to that of the U.S. Department of Agriculture Microbiology Laboratory Guidebook Chapter 4.10 method for raw ground turkey, chicken carcass rinse, and pasteurized liquid egg. Inclusivity/exclusivity, robustness, and stability/lot-to-lot consistency testing was also performed. Results In the matrix study, there were no statistically significant differences in performance between the OBOP Salmonella and reference methods, as determined by probability of detection analysis (P < 0.05), for any of the matrixes examined. All 104 Salmonella spp. strains produced positive results in inclusivity testing, and all 33 non-salmonellae exclusivity strains tested negative with the OBOP Salmonella method. Conclusions Results of the validation study show that the OBOP Salmonella method is a reliable procedure for detection of Salmonella spp. in select matrixes. The method is simple to perform, requires no specialized equipment, and produces results in as little as 37 h. Highlights The OBOP Salmonella method was awarded AOAC PTMSM (#102002) for detection of Salmonella in queso fresco, smoked salmon, cantaloupe, chocolate, black pepper, chili powder, dry pet food, sponge samples on a stainless steel surface, raw ground turkey, chicken carcass rinse, and pasteurized liquid egg. The method is also approved by MicroVal® for a broad range of foods under certification number 2019LR88.
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Affiliation(s)
- Susan Alles
- Neogen Corp., 620 Lesher Pl., Lansing, MI 48912, USA
| | - Brooke Roman
- Neogen Corp., 620 Lesher Pl., Lansing, MI 48912, USA
| | - Quynh-Nhi Le
- Neogen Corp., 620 Lesher Pl., Lansing, MI 48912, USA
| | | | | | | | - Mark Mozola
- Neogen Corp., 620 Lesher Pl., Lansing, MI 48912, USA
| | - Wesley Thompson
- Q Laboratories, 1930 Radcliff Dr., Cincinnati, OH 45204, USA
| | - Benjamin Bastin
- Q Laboratories, 1930 Radcliff Dr., Cincinnati, OH 45204, USA
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Karunamuni RA, Huynh-Le MP, Fan CC, Thompson W, Eeles RA, Kote-Jarai Z, Muir K, Lophatananon A, Schleutker J, Pashayan N, Batra J, Grönberg H, Walsh EI, Turner EL, Lane A, Martin RM, Neal DE, Donovan JL, Hamdy FC, Nordestgaard BG, Tangen CM, MacInnis RJ, Wolk A, Albanes D, Haiman CA, Travis RC, Stanford JL, Mucci LA, West CML, Nielsen SF, Kibel AS, Wiklund F, Cussenot O, Berndt SI, Koutros S, Sørensen KD, Cybulski C, Grindedal EM, Park JY, Ingles SA, Maier C, Hamilton RJ, Rosenstein BS, Vega A, Kogevinas M, Penney KL, Teixeira MR, Brenner H, John EM, Kaneva R, Logothetis CJ, Neuhausen SL, Razack A, Newcomb LF, Gamulin M, Usmani N, Claessens F, Gago-Dominguez M, Townsend PA, Roobol MJ, Zheng W, Mills IG, Andreassen OA, Dale AM, Seibert TM. Additional SNPs improve risk stratification of a polygenic hazard score for prostate cancer. Prostate Cancer Prostatic Dis 2021; 24:532-541. [PMID: 33420416 PMCID: PMC8157993 DOI: 10.1038/s41391-020-00311-2] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2020] [Revised: 11/10/2020] [Accepted: 12/04/2020] [Indexed: 01/29/2023]
Abstract
BACKGROUND Polygenic hazard scores (PHS) can identify individuals with increased risk of prostate cancer. We estimated the benefit of additional SNPs on performance of a previously validated PHS (PHS46). MATERIALS AND METHOD 180 SNPs, shown to be previously associated with prostate cancer, were used to develop a PHS model in men with European ancestry. A machine-learning approach, LASSO-regularized Cox regression, was used to select SNPs and to estimate their coefficients in the training set (75,596 men). Performance of the resulting model was evaluated in the testing/validation set (6,411 men) with two metrics: (1) hazard ratios (HRs) and (2) positive predictive value (PPV) of prostate-specific antigen (PSA) testing. HRs were estimated between individuals with PHS in the top 5% to those in the middle 40% (HR95/50), top 20% to bottom 20% (HR80/20), and bottom 20% to middle 40% (HR20/50). PPV was calculated for the top 20% (PPV80) and top 5% (PPV95) of PHS as the fraction of individuals with elevated PSA that were diagnosed with clinically significant prostate cancer on biopsy. RESULTS 166 SNPs had non-zero coefficients in the Cox model (PHS166). All HR metrics showed significant improvements for PHS166 compared to PHS46: HR95/50 increased from 3.72 to 5.09, HR80/20 increased from 6.12 to 9.45, and HR20/50 decreased from 0.41 to 0.34. By contrast, no significant differences were observed in PPV of PSA testing for clinically significant prostate cancer. CONCLUSIONS Incorporating 120 additional SNPs (PHS166 vs PHS46) significantly improved HRs for prostate cancer, while PPV of PSA testing remained the same.
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Affiliation(s)
- Roshan A Karunamuni
- Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, CA, USA.
| | | | - Chun C Fan
- Center for Human Development, University of California San Diego, La Jolla, CA, USA
| | - Wesley Thompson
- Department of Family Medicine and Public Health, University of California, San Diego, La Jolla, CA, USA
| | - Rosalind A Eeles
- The Institute of Cancer Research, London, SM2 5NG, UK
- Royal Marsden NHS Foundation Trust, London, SW3 6JJ, UK
| | | | - Kenneth Muir
- Division of Population Health, Health Services Research and Primary Care, University of Manchester, Oxford Road, Manchester, M13 9PL, UK
- Warwick Medical School, University of Warwick, Coventry, CV4 7AL, UK
| | - Artitaya Lophatananon
- Division of Population Health, Health Services Research and Primary Care, University of Manchester, Oxford Road, Manchester, M13 9PL, UK
| | - Johanna Schleutker
- Institute of Biomedicine, University of Turku, Turku, Finland
- Department of Medical Genetics, Genomics, Laboratory Division, Turku University Hospital, PO Box 52, 20521, Turku, Finland
| | - Nora Pashayan
- Department of Applied Health Research, University College London, London, WC1E 7HB, UK
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Strangeways Laboratory, Worts Causeway, Cambridge, CB1 8RN, UK
| | - Jyotsna Batra
- Australian Prostate Cancer Research Centre-Qld, Institute of Health and Biomedical Innovation and School of Biomedical Sciences, Queensland University of Technology, Brisbane, QLD, 4059, Australia
- Translational Research Institute, Brisbane, QLD, 4102, Australia
| | - Henrik Grönberg
- Department of Medical Epidemiology and Biostatistics, Karolinska Institute, SE-171 77, Stockholm, Sweden
| | - Eleanor I Walsh
- Bristol Medical School, Department of Population Health Sciences, University of Bristol, Bristol, UK
| | - Emma L Turner
- Bristol Medical School, Department of Population Health Sciences, University of Bristol, Bristol, UK
| | - Athene Lane
- Bristol Medical School, Department of Population Health Sciences, University of Bristol, Bristol, UK
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
| | - Richard M Martin
- Bristol Medical School, Department of Population Health Sciences, University of Bristol, Bristol, UK
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- National Institute for Health Research (NIHR) Bristol Biomedical Research Centre, University Hospitals Bristol NHS Foundation Trust and the University of Bristol, Bristol, UK
| | - David E Neal
- Nuffield Department of Surgical Sciences, University of Oxford, Room 6603, Level 6, John Radcliffe Hospital, Headley Way, Headington, Oxford, OX3 9DU, UK
- Department of Oncology, University of Cambridge, Box 279, Addenbrooke's Hospital, Hills Road, Cambridge, CB2 0QQ, UK
- Cancer Research UK, Cambridge Research Institute, Li Ka Shing Centre, Cambridge, CB2 0RE, UK
| | - Jenny L Donovan
- School of Social and Community Medicine, University of Bristol, Bristol, UK
| | - Freddie C Hamdy
- Nuffield Department of Surgical Sciences, University of Oxford, Room 6603, Level 6, John Radcliffe Hospital, Headley Way, Headington, Oxford, OX3 9DU, UK
- Faculty of Medical Science, University of Oxford, John Radcliffe Hospital, Oxford, UK
| | - Børge G Nordestgaard
- Faculty of Health and Medical Sciences, University of Copenhagen, 2200, Copenhagen, Denmark
- Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, 2200, Copenhagen, Denmark
| | - Catherine M Tangen
- SWOG Statistical Center, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Robert J MacInnis
- Cancer Epidemiology Division, Cancer Council Victoria, 615 St Kilda Road, Melbourne, VIC, 3004, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Grattan Street, Parkville, VIC, 3010, Australia
| | - Alicja Wolk
- Unit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, SE-171 77, Stockholm, Sweden
- Department of Surgical Sciences, Uppsala University, 75185, Uppsala, Sweden
| | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, 20892, USA
| | - Christopher A Haiman
- Center for Genetic Epidemiology, Department of Preventive Medicine, Keck School of Medicine, University of Southern California/Norris Comprehensive Cancer Center, Los Angeles, CA, 90015, USA
| | - Ruth C Travis
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, OX3 7LF, UK
| | - Janet L Stanford
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, 98109-1024, USA
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, WA, 98195, USA
| | - Lorelei A Mucci
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, 02115, USA
| | - Catharine M L West
- Division of Cancer Sciences, University of Manchester, Manchester Academic Health Science Centre, Radiotherapy Related Research, The Christie Hospital NHS Foundation Trust, Manchester, M13 9PL, UK
| | - Sune F Nielsen
- Faculty of Health and Medical Sciences, University of Copenhagen, 2200, Copenhagen, Denmark
- Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, 2200, Copenhagen, Denmark
| | - Adam S Kibel
- Division of Urologic Surgery, Brigham and Womens Hospital, 75 Francis Street, Boston, MA, 02115, USA
| | - Fredrik Wiklund
- Department of Medical Epidemiology and Biostatistics, Karolinska Institute, SE-171 77, Stockholm, Sweden
| | - Olivier Cussenot
- Sorbonne Universite, GRC n°5, AP-HP, Tenon Hospital, 4 rue de la Chine, F-75020, Paris, France
- CeRePP, Tenon Hospital, F-75020, Paris, France
| | - Sonja I Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, 20892, USA
| | - Stella Koutros
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, 20892, USA
| | - Karina Dalsgaard Sørensen
- Department of Molecular Medicine, Aarhus University Hospital, Palle Juul-Jensen Boulevard 99, 8200, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, DK-8200, Aarhus, Denmark
| | - Cezary Cybulski
- International Hereditary Cancer Center, Department of Genetics and Pathology, Pomeranian Medical University, 70-115, Szczecin, Poland
| | - Eli Marie Grindedal
- Department of Medical Genetics, Oslo University Hospital, 0424, Oslo, Norway
| | - Jong Y Park
- Department of Cancer Epidemiology, Moffitt Cancer Center, 12902 Magnolia Drive, Tampa, FL, 33612, USA
| | - Sue A Ingles
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California/Norris Comprehensive Cancer Center, Los Angeles, CA, 90015, USA
| | - Christiane Maier
- Humangenetik Tuebingen, Paul-Ehrlich-Str 23, D-72076, Tuebingen, Germany
| | - Robert J Hamilton
- Dept. of Surgical Oncology, Princess Margaret Cancer Centre, Toronto, ON, M5G 2M9, Canada
- Dept. of Surgery (Urology), University of Toronto, Toronto, ON, Canada
| | - Barry S Rosenstein
- Department of Radiation Oncology and Department of Genetics and Genomic Sciences, Box 1236, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY, 10029, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029-5674, USA
| | - Ana Vega
- Fundación Pública Galega Medicina Xenómica, Santiago de Compostela, 15706, Spain
- Instituto de Investigación Sanitaria de Santiago de Compostela, Santiago De Compostela, 15706, Spain
- Centro de Investigación en Red de Enfermedades Raras (CIBERER), Santiago De Compostela, Spain
| | - Manolis Kogevinas
- ISGlobal, Barcelona, Spain
- IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Kathryn L Penney
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital/Harvard Medical School, Boston, MA, 02184, USA
| | - Manuel R Teixeira
- Department of Genetics, Portuguese Oncology Institute of Porto (IPO-Porto), 4200-072, Porto, Portugal
- Biomedical Sciences Institute (ICBAS), University of Porto, 4050-313, Porto, Portugal
- Cancer Genetics Group, IPO-Porto Research Center (CI-IPOP), Portuguese Oncology Institute of Porto (IPO-Porto), 4200-072, Porto, Portugal
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), D-69120, Heidelberg, Germany
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), D-69120, Heidelberg, Germany
- Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Im Neuenheimer Feld 460, 69120, Heidelberg, Germany
| | - Esther M John
- Departments of Epidemiology & Population Health and of Medicine, Division of Oncology, Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, 94304, USA
| | - Radka Kaneva
- Molecular Medicine Center, Department of Medical Chemistry and Biochemistry, Medical University of Sofia, Sofia, 2 Zdrave Str., 1431, Sofia, Bulgaria
| | - Christopher J Logothetis
- The University of Texas M. D. Anderson Cancer Center, Department of Genitourinary Medical Oncology, 1515 Holcombe Blvd., Houston, TX, 77030, USA
| | - Susan L Neuhausen
- Department of Population Sciences, Beckman Research Institute of the City of Hope, 1500 East Duarte Road, Duarte, CA, 91010, USA
| | - Azad Razack
- Department of Surgery, Faculty of Medicine, University of Malaya, 50603, Kuala Lumpur, Malaysia
| | - Lisa F Newcomb
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, 98109-1024, USA
- Department of Urology, University of Washington, 1959 NE Pacific Street, Box 356510, Seattle, WA, 98195, USA
| | - Marija Gamulin
- Division of Medical Oncology, Urogenital Unit, Department of Oncology, University Hospital Centre Zagreb, University of Zagreb, School of Medicine, 10000, Zagreb, Croatia
| | - Nawaid Usmani
- Department of Oncology, Cross Cancer Institute, University of Alberta, 11560 University Avenue, Edmonton, AB, T6G 1Z2, Canada
- Division of Radiation Oncology, Cross Cancer Institute, 11560 University Avenue, Edmonton, AB, T6G 1Z2, Canada
| | - Frank Claessens
- Molecular Endocrinology Laboratory, Department of Cellular and Molecular Medicine, KU, Leuven, BE-3000, Belgium
| | - Manuela Gago-Dominguez
- Genomic Medicine Group, Galician Foundation of Genomic Medicine, Instituto de Investigacion Sanitaria de Santiago de Compostela (IDIS), Complejo Hospitalario Universitario de Santiago, Servicio Galego de Saúde, SERGAS, 15706, Santiago de Compostela, Spain
- University of California San Diego, Moores Cancer Center, Department of Family Medicine and Public Health, University of California San Diego, La Jolla, CA, 92093-0012, USA
| | - Paul A Townsend
- Division of Cancer Sciences, Manchester Cancer Research Centre, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, NIHR Manchester Biomedical Research Centre, Health Innovation Manchester, Univeristy of Manchester, M13 9WL, Manchester, UK
| | - Monique J Roobol
- Department of Urology, Erasmus University Medical Center, 3015 CE, Rotterdam, The Netherlands
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, 2525 West End Avenue, Suite 800, Nashville, TN, 37232, USA
| | - Ian G Mills
- Center for Cancer Research and Cell Biology, Queen's University of Belfast, Belfast, UK
| | - Ole A Andreassen
- NORMENT, KG Jebsen Centre, Oslo University Hospital and University of Oslo, Oslo, Norway
| | - Anders M Dale
- Department of Radiology, University of California San Diego, La Jolla, CA, USA
| | - Tyler M Seibert
- Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, CA, USA.
- Department of Radiology, University of California San Diego, La Jolla, CA, USA.
- Department of Bioengineering, University of California San Diego, La Jolla, CA, USA.
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Singh AK, Lin A, Maloney J, Campos A, Hamada A, Sharma H, Thompson W, Bastin B, Benzinger MJ, Agin J, Pollard S, Khaksar R. Validation of the Modified Clear Safety Salmonella for Detection of Salmonella enterica in Selected Poultry and Pet Food Matrixes and on Stainless Steel: AOAC Performance Tested MethodSM 111802. J AOAC Int 2021; 105:230-248. [PMID: 33944933 DOI: 10.1093/jaoacint/qsab062] [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: 04/02/2021] [Accepted: 04/05/2021] [Indexed: 11/13/2022]
Abstract
BACKGROUND The Clear Safety Salmonella method was modified to improve sample preparation, PCR reagents, library preparation, flow cell quality control, library loading mix, priming mix and sequencing kit reagents and steps. OBJECTIVE To evaluate the modified Clear Safety Salmonella method (manual and automated) via independent and method developer validation studies according to current AOAC Validation Guidelines. METHODS Performance of the modified Clear Safety Salmonella method (manual and automated) was assessed for selectivity (using 105 inclusive and 30 exclusive strains), probability of detection in matrixes, product consistency, stability, and robustness. The modified Clear Safety Salmonella method was compared to the appropriate reference method for Salmonella detection on a 4" × 4" stainless steel environmental surfaces, and in chicken carcass rinse (30 mL), raw ground chicken (375 g), dry pet food (375 g), and ready to eat deli turkey breast (375 g). RESULTS The modified Clear Safety Salmonella method (manual and automated) demonstrated no statistically significant differences between the candidate and reference method probability of detection (dPODC) or between the presumptive and confirmed results (dPODCP) for all target food matrixes and the stainless steel surface. Additionally, the modified method (manual and automated) detected all 105 inclusivity organisms and excluded all 30 exclusivity organisms. The product consistency and kit stability studies showed no statistical differences between lots or over the term of the kit's shelf-life. In robustness studies, changes in enrichment time, diluted sample volume, and sample volume for PCR did not show any statistical difference in terms of assay performance. CONCLUSIONS The modified Clear Safety Salmonella method (both manual and automated) is statistically equivalent to or better than the reference methods. HIGHLIGHTS The Clear Safety Salmonella Method utilizes PCR amplification and targeted next generation sequencing technology to selectively detect Salmonella enterica.
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Affiliation(s)
- Atul K Singh
- Clear Labs, 1559 Industrial Road, San Carlos, Ca, 94070
| | - Andrew Lin
- Clear Labs, 1559 Industrial Road, San Carlos, Ca, 94070
| | - James Maloney
- Clear Labs, 1559 Industrial Road, San Carlos, Ca, 94070
| | - Anay Campos
- Clear Labs, 1559 Industrial Road, San Carlos, Ca, 94070
| | - Alito Hamada
- Clear Labs, 1559 Industrial Road, San Carlos, Ca, 94070
| | - Hanoor Sharma
- Clear Labs, 1559 Industrial Road, San Carlos, Ca, 94070
| | | | | | | | - James Agin
- Q Laboratories, 1930 Radcliff Drive, Cincinnati, Oh, 45204
| | | | - Ramin Khaksar
- Clear Labs, 1559 Industrial Road, San Carlos, CA, 94070
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25
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Reddy DS, Thompson W, Calderara G. Molecular mechanisms of sex differences in epilepsy and seizure susceptibility in chemical, genetic and acquired epileptogenesis. Neurosci Lett 2021; 750:135753. [PMID: 33610673 PMCID: PMC7994197 DOI: 10.1016/j.neulet.2021.135753] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [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: 11/01/2020] [Revised: 02/03/2021] [Accepted: 02/14/2021] [Indexed: 02/07/2023]
Abstract
This article provides a succinct overview of sex differences in epilepsy and putative molecular mechanisms underlying sex differences in seizure susceptibility in chemical, genetic, and acquired epileptogenesis. The susceptibility to excitability episodes and occurrence of epileptic seizures are generally higher in men than women. The precise molecular mechanisms remain unclear, but differences in regional morphology and neural circuits in men and women may explain differential vulnerability to seizures and epileptogenic cascades. Changes in seizure sensitivity can be attributed to steroid hormones, including fluctuations in neurosteroids as well as neuroplasticity in their receptor signaling systems. Other potential neurobiological bases for sex differences in epilepsies include differences in brain development, neurogenesis, neuronal chloride homeostasis, and neurotrophic and glial responses. In catamenial epilepsy, a gender-specific neuroendocrine condition, epileptic seizures are most often clustered around a specific menstrual period in adult women. A deeper understanding of the molecular and neural network basis of sex differences in seizures and response to antiepileptic drugs is highly warranted for designing effective, sex-specific therapies for epilepsy, epileptogenesis, and seizure disorders.
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Affiliation(s)
- Doodipala Samba Reddy
- Department of Neuroscience and Experimental Therapeutics, Texas A&M University College of Medicine, Bryan, TX, United States.
| | - Wesley Thompson
- Department of Neuroscience and Experimental Therapeutics, Texas A&M University College of Medicine, Bryan, TX, United States
| | - Gianmarco Calderara
- Department of Neuroscience and Experimental Therapeutics, Texas A&M University College of Medicine, Bryan, TX, United States
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Abstract
This chapter describes the experimental evidence of stress modulation of epileptic seizures and the potential role of corticosteroids and neurosteroids in regulating stress-linked seizure vulnerability. Epilepsy is a chronic neurological disorder that is characterized by repeated seizures. There are many potential causes for epilepsy, including genetic predispositions, infections, brain injury, and neurotoxicity. Stress is a known precipitating factor for seizures in individuals suffering from epilepsy. Severe acute stress and persistent exposure to stress may increase susceptibility to seizures, thereby resulting in a higher frequency of seizures. This occurs through the stress-mediated release of cortisol, which has both excitatory and proconvulsant properties. Stress also causes the release of endogenous neurosteroids from central and adrenal sources. Neurosteroids such as allopregnanolone and THDOC, which are allosteric modulators of GABA-A receptors, are powerful anticonvulsants and neuroprotectants. Acute stress increases the release of neurosteroids, while chronic stress is associated with severe neurosteroid depletion and reduced inhibition in the brain. This diminished inhibition occurs largely as a result of neurosteroid deficiencies. Thus, exogenous administration of neurosteroids (neurosteroid replacement therapy) may offer neuroprotection in epilepsy. Synthetic neurosteroid could offer a rational approach to control neurosteroid-sensitive, stress-related epileptic seizures.
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Affiliation(s)
- Doodipala Samba Reddy
- Department of Neuroscience and Experimental Therapeutics, College of Medicine, Texas A&M University Health Science Center, Bryan, TX, USA.
| | - Wesley Thompson
- Department of Neuroscience and Experimental Therapeutics, College of Medicine, Texas A&M University Health Science Center, Bryan, TX, USA
| | - Gianmarco Calderara
- Department of Neuroscience and Experimental Therapeutics, College of Medicine, Texas A&M University Health Science Center, Bryan, TX, USA
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27
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Karunamuni RA, Huynh-Le MP, Fan CC, Thompson W, Eeles RA, Kote-Jarai Z, Muir K, Lophatananon A, Tangen CM, Goodman PJ, Thompson IM, Blot WJ, Zheng W, Kibel AS, Drake BF, Cussenot O, Cancel-Tassin G, Menegaux F, Truong T, Park JY, Lin HY, Bensen JT, Fontham ETH, Mohler JL, Taylor JA, Multigner L, Blanchet P, Brureau L, Romana M, Leach RJ, John EM, Fowke J, Bush WS, Aldrich M, Crawford DC, Srivastava S, Cullen JC, Petrovics G, Parent MÉ, Hu JJ, Sanderson M, Mills IG, Andreassen OA, Dale AM, Seibert TM. African-specific improvement of a polygenic hazard score for age at diagnosis of prostate cancer. Int J Cancer 2020; 148:99-105. [PMID: 32930425 DOI: 10.1002/ijc.33282] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [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: 05/13/2020] [Revised: 08/07/2020] [Accepted: 08/12/2020] [Indexed: 12/23/2022]
Abstract
Polygenic hazard score (PHS) models are associated with age at diagnosis of prostate cancer. Our model developed in Europeans (PHS46) showed reduced performance in men with African genetic ancestry. We used a cross-validated search to identify single nucleotide polymorphisms (SNPs) that might improve performance in this population. Anonymized genotypic data were obtained from the PRACTICAL consortium for 6253 men with African genetic ancestry. Ten iterations of a 10-fold cross-validation search were conducted to select SNPs that would be included in the final PHS46+African model. The coefficients of PHS46+African were estimated in a Cox proportional hazards framework using age at diagnosis as the dependent variable and PHS46, and selected SNPs as predictors. The performance of PHS46 and PHS46+African was compared using the same cross-validated approach. Three SNPs (rs76229939, rs74421890 and rs5013678) were selected for inclusion in PHS46+African. All three SNPs are located on chromosome 8q24. PHS46+African showed substantial improvements in all performance metrics measured, including a 75% increase in the relative hazard of those in the upper 20% compared to the bottom 20% (2.47-4.34) and a 20% reduction in the relative hazard of those in the bottom 20% compared to the middle 40% (0.65-0.53). In conclusion, we identified three SNPs that substantially improved the association of PHS46 with age at diagnosis of prostate cancer in men with African genetic ancestry to levels comparable to Europeans.
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Affiliation(s)
- Roshan A Karunamuni
- Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, California, USA
| | - Minh-Phuong Huynh-Le
- Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, California, USA
| | | | - Wesley Thompson
- Department of Family Medicine and Public Health, University of California, San Diego, La Jolla, California, USA
| | - Rosalind A Eeles
- The Institute of Cancer Research, London, UK.,Royal Marsden NHS Foundation Trust, London, UK
| | | | - Kenneth Muir
- Division of Population Health, Health Services Research and Primary Care, University of Manchester, Oxford Road, Manchester, M13 9PL, UK.,Division of Health Sciences, Warwick Medical School, University of Warwick, Coventry, UK
| | | | - Artitaya Lophatananon
- Division of Population Health, Health Services Research and Primary Care, University of Manchester, Oxford Road, Manchester, M13 9PL, UK
| | - Catherine M Tangen
- SWOG Statistical Center, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Phyllis J Goodman
- SWOG Statistical Center, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Ian M Thompson
- CHRISTUS Santa Rosa Hospital-Medical Center, San Antonio, Texas, USA
| | - William J Blot
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.,International Epidemiology Institute, Rockville, Maryland, USA
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Adam S Kibel
- Division of Urologic Surgery, Brigham and Womens Hospital, Boston, Massachusetts, USA
| | - Bettina F Drake
- Washington University School of Medicine, St. Louis, Missouri, USA
| | - Olivier Cussenot
- Sorbonne Universite, GRC n°5, AP-HP, Tenon Hospital, Paris, France.,CeRePP, Tenon Hospital, Paris, France
| | - Géraldine Cancel-Tassin
- Sorbonne Universite, GRC n°5, AP-HP, Tenon Hospital, Paris, France.,CeRePP, Tenon Hospital, Paris, France
| | | | - Thérèse Truong
- Université Paris-Saclay, UVSQ, Inserm, CESP, Villejuif, France
| | - Jong Y Park
- Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, Florida, USA
| | - Hui-Yi Lin
- School of Public Health, Louisiana State University Health Sciences Center, New Orleans, Louisiana, USA
| | - Jeannette T Bensen
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.,Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Elizabeth T H Fontham
- School of Public Health, Louisiana State University Health Sciences Center, New Orleans, Louisiana, USA
| | - James L Mohler
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.,Department of Urology, Roswell Park Comprehensive Cancer Center, Buffalo, New York, USA
| | - Jack A Taylor
- Epidemiology Branch, National Institute of Environmental Health Sciences, North Carolina, USA.,Epigenetic and Stem Cell Biology Laboratory, National Institute of Environmental Health Sciences, North Carolina, USA
| | - Luc Multigner
- Univ Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail)-UMR_S 1085, Rennes, France
| | - Pascal Blanchet
- CHU de Pointe-à-Pitre, Univ Antilles, Univ Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail)-UMR_S 1085, Pointe-à-Pitre, France
| | - Laurent Brureau
- CHU de Pointe-à-Pitre, Univ Antilles, Univ Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail)-UMR_S 1085, Pointe-à-Pitre, France
| | - Marc Romana
- UMR Inserm 1134 Biologie Intégrée du Globule Rouge, INSERM/Université Paris Diderot-Université Sorbonne Paris Cité/INTS/Université des Antilles, Paris, France
| | - Robin J Leach
- Department of Cell System and Anatomy and Mays Cancer Center, University of Texas Health San Antonio, San Antonio, Texas, USA
| | - Esther M John
- Department of Medicine, Division of Oncology, Stanford Cancer Institute, Stanford University School of Medicine, Stanford, California, USA
| | - Jay Fowke
- Department of Medicine and Urologic Surgery, Vanderbilt University Medical Center, 1211 Medical Center Drive, Nashville, Tennessee, USA.,Division of Epidemiology, Department of Preventive Medicine, The University of Tennessee Health Science Center, Tennessee, USA
| | - William S Bush
- Case Western Reserve University, Department of Population and Quantitative Health Sciences, Cleveland Institute for Computational Biology, Cleveland, Ohio, USA
| | - Melinda Aldrich
- Department of Thoracic Surgery, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Dana C Crawford
- Case Western Reserve University, Department of Population and Quantitative Health Sciences, Cleveland Institute for Computational Biology, Cleveland, Ohio, USA
| | - Shiv Srivastava
- Uniformed Services University, Bethesda, Maryland, USA.,Center for Prostate Disease Research, Bethesda, Maryland, USA
| | - Jennifer C Cullen
- Uniformed Services University, Bethesda, Maryland, USA.,Center for Prostate Disease Research, Bethesda, Maryland, USA
| | - Gyorgy Petrovics
- Uniformed Services University, Bethesda, Maryland, USA.,Center for Prostate Disease Research, Bethesda, Maryland, USA
| | - Marie-Élise Parent
- Epidemiology and Biostatistics Unit, Centre Armand-Frappier Santé Biotechnologie, Institut national de la recherche scientifique, Quebec, Canada.,Department of Social and Preventive Medicine, School of Public Health, University of Montreal, Montreal, Quebec, Canada
| | - Jennifer J Hu
- Sylvester Comprehensive Cancer Center, The University of Miami School of Medicine, Miami, Florida, USA
| | - Maureen Sanderson
- Department of Family and Community Medicine, Meharry Medical College, Nashville, Tennessee, USA
| | - Ian G Mills
- Center for Cancer Research and Cell Biology, Queen's University of Belfast, Belfast, UK
| | - Ole A Andreassen
- NORMENT, KG Jebsen Centre, Oslo University Hospital and University of Oslo, Oslo, Norway
| | - Anders M Dale
- Department of Radiology, University of California San Diego, La Jolla, California, USA
| | - Tyler M Seibert
- Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, California, USA.,Department of Radiology, University of California San Diego, La Jolla, California, USA
| | -
- Institute of Cancer Research, Sutton, UK
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Mackenzie G, Thompson W. 80 years on. Br Dent J 2020; 229:208. [DOI: 10.1038/s41415-020-2060-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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Teoh L, Thompson W, McCullough M. Questioning dual antimicrobial therapy as first line in recent Australian Therapeutic Guidelines. Aust Dent J 2020; 65:302-304. [PMID: 32588465 DOI: 10.1111/adj.12783] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/24/2020] [Indexed: 12/19/2022]
Affiliation(s)
- L Teoh
- Melbourne Dental School, University of Melbourne, Carlton, Victoria, Australia
| | - W Thompson
- University of Manchester, Manchester, UK
| | - M McCullough
- Melbourne Dental School, University of Melbourne, Carlton, Victoria, Australia
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Atwood CW, Boudreau E, Folmer R, Kuna ST, Pineda L, Reichert J, Sarmiento K, Thompson W, Whooley M, Zhang N, Yarbrough WC. 1170 Trends in Sleep Apnea Testing Among Veterans Participating in a Rural Health-Focused Telesleep Medicine Program. Sleep 2020. [DOI: 10.1093/sleep/zsaa056.1164] [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
Introduction
The Department of Veterans Affairs has pioneered the use of home sleep apnea testing (HSAT) across many of its medical centers over the past 15 years. Here we report trends regarding diagnostic sleep apnea testing in rural and urban Veterans served by the TeleSleep Program, a VA telehealth initiative focused on increasing access to sleep care for rural Veterans. Rurality is a risk factor for use of polysomnography and is associated with longer wait times for testing and initiation of PAP therapy.
Methods
We used a VA administrative database search of patients enrolled in sleep medicine clinics from fiscal years (FY) 2016-2019 at 7 TeleSleep Hubs: San Francisco, Portland, Phoenix, Boise, Philadelphia, Spokane, and Pittsburgh. Individual encounters were coded locally and transmitted to VA’s corporate data warehouse. HSAT codes included 95800, 95801, 95806, G0398, G0399, and G0400. Polysomnography codes included 95807, 95808, 95810, and 95811.
Results
Total number of unique Veterans served increased between FY16 and FY19 from 28,941 to 43,044 (149%); rural Veterans served during this time increased from 9,386 to 14,329 (153%). The total number of annual sleep medicine encounters for all Veterans served increased from 89,870 to 138,127 (154%); rural Veteran visits increased from 29,825 to 50,342 (169%). Unique urban Veterans tested by HSAT increased from 2,158 in FY16 to 4,398 in FY19 (203%) while polysomnography decreased from 5,011 to 3,253 (35%). Unique rural Veterans tested by HSAT increased from 1,102 to 2,768 (251%) and polysomnography decreased by 42% (1,565 to 909 Veterans) during this same time.
Conclusion
Among VA sleep medicine programs with TeleSleep funding, HSAT became the most common approach to diagnostic sleep apnea testing, particularly in rural Veterans. Although polysomnography was widely used at the beginning of the TeleSleep Initiative, use declined as HSAT became more widely implemented.
Support
VA Office of Rural Health
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Affiliation(s)
- C W Atwood
- VA Pittsburgh Healthcare System, VA Pittsburgh Healthcare System, PA
| | - E Boudreau
- VA Portland Healthcare System, Portland, OR
| | - R Folmer
- VA Portland Healthcare System, Portland, OR
| | - S T Kuna
- Cpl Michael J Crescenz VA Medical Center, Philadelphia, PA
| | - L Pineda
- VA Phoenix Healthcare System, Phoenix, AZ
| | - J Reichert
- San Francisco VA Medical Center, San Francisco, CA
| | - K Sarmiento
- San Francisco VA Medical Center, San Francisco, CA
| | | | - M Whooley
- San Francisco VA Medical Center, San Francisco, CA
| | - N Zhang
- San Francisco VA Medical Center, San Francisco, CA
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Thompson W, Tonkin-Crine S, Pavitt SH, McEachan RRC, Douglas GVA, Aggarwal VR, Sandoe JAT. Factors associated with antibiotic prescribing for adults with acute conditions: an umbrella review across primary care and a systematic review focusing on primary dental care. J Antimicrob Chemother 2019; 74:2139-2152. [PMID: 31002336 PMCID: PMC6640312 DOI: 10.1093/jac/dkz152] [Citation(s) in RCA: 54] [Impact Index Per Article: 10.8] [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] [Subscribe] [Scholar Register] [Received: 01/09/2019] [Revised: 03/14/2019] [Accepted: 03/18/2019] [Indexed: 12/21/2022] Open
Abstract
INTRODUCTION One way to slow the spread of resistant bacteria is by improved stewardship of antibiotics: using them more carefully and reducing the number of prescriptions. With an estimated 7%-10% of antibiotic prescriptions globally originating from dental practices and up to 80% prescribed unnecessarily, dentistry has an important role to play. To support the design of new stewardship interventions through knowledge transfer between contexts, this study aimed to identify factors associated with the decision to prescribe antibiotics to adults presenting with acute conditions across primary care (including dentistry). METHODS Two reviews were undertaken: an umbrella review across primary healthcare and a systematic review in dentistry. Two authors independently selected and quality assessed the included studies. Factors were identified using an inductive thematic approach and mapped to the Theoretical Domains Framework (TDF). Comparisons between dental and other settings were explored. Registration number: PROSPERO_CRD42016037174. RESULTS Searches identified 689 publications across primary care and 432 across dental care. Included studies (nine and seven, respectively) were assessed as of variable quality. They covered 46 countries, of which 12 were low and middle-income countries (LMICs). Across the two reviews, 30 factors were identified, with 'patient/condition characteristics', 'patient influence' and 'guidelines & information' the most frequent. Two factors were unique to dental studies: 'procedure possible' and 'treatment skills'. No factor related only to LMICs. CONCLUSIONS A comprehensive list of factors associated with antibiotic prescribing to adults with acute conditions in primary care settings around the world has been collated and should assist theory-informed design of new context-specific stewardship interventions.
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Affiliation(s)
- W Thompson
- University of Leeds, School of Dentistry, Leeds, UK
| | - S Tonkin-Crine
- University of Oxford, NIHR Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, Oxford, UK
| | - S H Pavitt
- University of Leeds, School of Dentistry, Leeds, UK
| | - R R C McEachan
- Bradford Institute for Health Research, Bradford Royal Infirmary, Bradford, UK
| | | | - V R Aggarwal
- University of Leeds, School of Dentistry, Leeds, UK
| | - J A T Sandoe
- University of Leeds/Leeds Teaching Hospitals NHS Trust, Leeds, UK
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Le Huec JC, Thompson W, Mohsinaly Y, Barrey C, Faundez A. Sagittal balance of the spine. Eur Spine J 2019; 28:1889-1905. [DOI: 10.1007/s00586-019-06083-1] [Citation(s) in RCA: 143] [Impact Index Per Article: 28.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/08/2018] [Revised: 07/13/2019] [Accepted: 07/16/2019] [Indexed: 11/24/2022]
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Larsson L, Degens H, Li M, Salviati L, Lee YI, Thompson W, Kirkland JL, Sandri M. Sarcopenia: Aging-Related Loss of Muscle Mass and Function. Physiol Rev 2019; 99:427-511. [PMID: 30427277 DOI: 10.1152/physrev.00061.2017] [Citation(s) in RCA: 667] [Impact Index Per Article: 133.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
Sarcopenia is a loss of muscle mass and function in the elderly that reduces mobility, diminishes quality of life, and can lead to fall-related injuries, which require costly hospitalization and extended rehabilitation. This review focuses on the aging-related structural changes and mechanisms at cellular and subcellular levels underlying changes in the individual motor unit: specifically, the perikaryon of the α-motoneuron, its neuromuscular junction(s), and the muscle fibers that it innervates. Loss of muscle mass with aging, which is largely due to the progressive loss of motoneurons, is associated with reduced muscle fiber number and size. Muscle function progressively declines because motoneuron loss is not adequately compensated by reinnervation of muscle fibers by the remaining motoneurons. At the intracellular level, key factors are qualitative changes in posttranslational modifications of muscle proteins and the loss of coordinated control between contractile, mitochondrial, and sarcoplasmic reticulum protein expression. Quantitative and qualitative changes in skeletal muscle during the process of aging also have been implicated in the pathogenesis of acquired and hereditary neuromuscular disorders. In experimental models, specific intervention strategies have shown encouraging results on limiting deterioration of motor unit structure and function under conditions of impaired innervation. Translated to the clinic, if these or similar interventions, by saving muscle and improving mobility, could help alleviate sarcopenia in the elderly, there would be both great humanitarian benefits and large cost savings for health care systems.
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Affiliation(s)
- Lars Larsson
- Department of Physiology and Pharmacology, Basic and Clinical Muscle Biology Group, Karolinska Institutet , Stockholm , Sweden ; Section of Clinical Neurophysiology, Department of Clinical Neuroscience, Karolinska Institutet , Stockholm , Sweden ; Department of Biobehavioral Health, The Pennsylvania State University , University Park, Pennsylvania ; School of Healthcare Science, Metropolitan University , Manchester , United Kingdom ; Institute of Sport Science and Innovations, Lithuanian Sports University , Kaunas , Lithuania ; Clinical Genetics Unit, Department of Woman and Child Health, University of Padova , Padova , Italy ; IRP Città della Speranza, Padova , Italy ; Department of Biology, Texas A&M University , College Station, Texas ; Robert and Arlene Kogod Center on Aging, Mayo Clinic , Rochester, Minnesota ; Department of Biomedical Science, Venetian Institute of Molecular Medicine, University of Padova , Padova , Italy
| | - Hans Degens
- Department of Physiology and Pharmacology, Basic and Clinical Muscle Biology Group, Karolinska Institutet , Stockholm , Sweden ; Section of Clinical Neurophysiology, Department of Clinical Neuroscience, Karolinska Institutet , Stockholm , Sweden ; Department of Biobehavioral Health, The Pennsylvania State University , University Park, Pennsylvania ; School of Healthcare Science, Metropolitan University , Manchester , United Kingdom ; Institute of Sport Science and Innovations, Lithuanian Sports University , Kaunas , Lithuania ; Clinical Genetics Unit, Department of Woman and Child Health, University of Padova , Padova , Italy ; IRP Città della Speranza, Padova , Italy ; Department of Biology, Texas A&M University , College Station, Texas ; Robert and Arlene Kogod Center on Aging, Mayo Clinic , Rochester, Minnesota ; Department of Biomedical Science, Venetian Institute of Molecular Medicine, University of Padova , Padova , Italy
| | - Meishan Li
- Department of Physiology and Pharmacology, Basic and Clinical Muscle Biology Group, Karolinska Institutet , Stockholm , Sweden ; Section of Clinical Neurophysiology, Department of Clinical Neuroscience, Karolinska Institutet , Stockholm , Sweden ; Department of Biobehavioral Health, The Pennsylvania State University , University Park, Pennsylvania ; School of Healthcare Science, Metropolitan University , Manchester , United Kingdom ; Institute of Sport Science and Innovations, Lithuanian Sports University , Kaunas , Lithuania ; Clinical Genetics Unit, Department of Woman and Child Health, University of Padova , Padova , Italy ; IRP Città della Speranza, Padova , Italy ; Department of Biology, Texas A&M University , College Station, Texas ; Robert and Arlene Kogod Center on Aging, Mayo Clinic , Rochester, Minnesota ; Department of Biomedical Science, Venetian Institute of Molecular Medicine, University of Padova , Padova , Italy
| | - Leonardo Salviati
- Department of Physiology and Pharmacology, Basic and Clinical Muscle Biology Group, Karolinska Institutet , Stockholm , Sweden ; Section of Clinical Neurophysiology, Department of Clinical Neuroscience, Karolinska Institutet , Stockholm , Sweden ; Department of Biobehavioral Health, The Pennsylvania State University , University Park, Pennsylvania ; School of Healthcare Science, Metropolitan University , Manchester , United Kingdom ; Institute of Sport Science and Innovations, Lithuanian Sports University , Kaunas , Lithuania ; Clinical Genetics Unit, Department of Woman and Child Health, University of Padova , Padova , Italy ; IRP Città della Speranza, Padova , Italy ; Department of Biology, Texas A&M University , College Station, Texas ; Robert and Arlene Kogod Center on Aging, Mayo Clinic , Rochester, Minnesota ; Department of Biomedical Science, Venetian Institute of Molecular Medicine, University of Padova , Padova , Italy
| | - Young Il Lee
- Department of Physiology and Pharmacology, Basic and Clinical Muscle Biology Group, Karolinska Institutet , Stockholm , Sweden ; Section of Clinical Neurophysiology, Department of Clinical Neuroscience, Karolinska Institutet , Stockholm , Sweden ; Department of Biobehavioral Health, The Pennsylvania State University , University Park, Pennsylvania ; School of Healthcare Science, Metropolitan University , Manchester , United Kingdom ; Institute of Sport Science and Innovations, Lithuanian Sports University , Kaunas , Lithuania ; Clinical Genetics Unit, Department of Woman and Child Health, University of Padova , Padova , Italy ; IRP Città della Speranza, Padova , Italy ; Department of Biology, Texas A&M University , College Station, Texas ; Robert and Arlene Kogod Center on Aging, Mayo Clinic , Rochester, Minnesota ; Department of Biomedical Science, Venetian Institute of Molecular Medicine, University of Padova , Padova , Italy
| | - Wesley Thompson
- Department of Physiology and Pharmacology, Basic and Clinical Muscle Biology Group, Karolinska Institutet , Stockholm , Sweden ; Section of Clinical Neurophysiology, Department of Clinical Neuroscience, Karolinska Institutet , Stockholm , Sweden ; Department of Biobehavioral Health, The Pennsylvania State University , University Park, Pennsylvania ; School of Healthcare Science, Metropolitan University , Manchester , United Kingdom ; Institute of Sport Science and Innovations, Lithuanian Sports University , Kaunas , Lithuania ; Clinical Genetics Unit, Department of Woman and Child Health, University of Padova , Padova , Italy ; IRP Città della Speranza, Padova , Italy ; Department of Biology, Texas A&M University , College Station, Texas ; Robert and Arlene Kogod Center on Aging, Mayo Clinic , Rochester, Minnesota ; Department of Biomedical Science, Venetian Institute of Molecular Medicine, University of Padova , Padova , Italy
| | - James L Kirkland
- Department of Physiology and Pharmacology, Basic and Clinical Muscle Biology Group, Karolinska Institutet , Stockholm , Sweden ; Section of Clinical Neurophysiology, Department of Clinical Neuroscience, Karolinska Institutet , Stockholm , Sweden ; Department of Biobehavioral Health, The Pennsylvania State University , University Park, Pennsylvania ; School of Healthcare Science, Metropolitan University , Manchester , United Kingdom ; Institute of Sport Science and Innovations, Lithuanian Sports University , Kaunas , Lithuania ; Clinical Genetics Unit, Department of Woman and Child Health, University of Padova , Padova , Italy ; IRP Città della Speranza, Padova , Italy ; Department of Biology, Texas A&M University , College Station, Texas ; Robert and Arlene Kogod Center on Aging, Mayo Clinic , Rochester, Minnesota ; Department of Biomedical Science, Venetian Institute of Molecular Medicine, University of Padova , Padova , Italy
| | - Marco Sandri
- Department of Physiology and Pharmacology, Basic and Clinical Muscle Biology Group, Karolinska Institutet , Stockholm , Sweden ; Section of Clinical Neurophysiology, Department of Clinical Neuroscience, Karolinska Institutet , Stockholm , Sweden ; Department of Biobehavioral Health, The Pennsylvania State University , University Park, Pennsylvania ; School of Healthcare Science, Metropolitan University , Manchester , United Kingdom ; Institute of Sport Science and Innovations, Lithuanian Sports University , Kaunas , Lithuania ; Clinical Genetics Unit, Department of Woman and Child Health, University of Padova , Padova , Italy ; IRP Città della Speranza, Padova , Italy ; Department of Biology, Texas A&M University , College Station, Texas ; Robert and Arlene Kogod Center on Aging, Mayo Clinic , Rochester, Minnesota ; Department of Biomedical Science, Venetian Institute of Molecular Medicine, University of Padova , Padova , Italy
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Kertesz N, Kamp A, Thompson W, Barth A, Law I, Batlivala S, Hanlon N, Fournier A, Spurney C, Mori-Yoshimura M, Markham L, Cripe L. DUCHENNE MUSCULAR DYSTROPHY – CLINICAL. Neuromuscul Disord 2018. [DOI: 10.1016/j.nmd.2018.06.058] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
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Xu S, Thompson W, Kerr J, Godbole S, Sears DD, Patterson R, Natarajan L. Modeling interrelationships between health behaviors in overweight breast cancer survivors: Applying Bayesian networks. PLoS One 2018; 13:e0202923. [PMID: 30180192 PMCID: PMC6122792 DOI: 10.1371/journal.pone.0202923] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [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: 04/17/2018] [Accepted: 08/07/2018] [Indexed: 02/04/2023] Open
Abstract
Obesity and its impact on health is a multifaceted phenomenon encompassing many factors, including demographics, environment, lifestyle, and psychosocial functioning. A systems science approach, investigating these many influences, is needed to capture the complexity and multidimensionality of obesity prevention to improve health. Leveraging baseline data from a unique clinical cohort comprising 333 postmenopausal overweight or obese breast cancer survivors participating in a weight-loss trial, we applied Bayesian networks, a machine learning approach, to infer interrelationships between lifestyle factors (e.g., sleep, physical activity), body mass index (BMI), and health outcomes (biomarkers and self-reported quality of life metrics). We used bootstrap resampling to assess network stability and accuracy, and Bayesian information criteria (BIC) to compare networks. Our results identified important behavioral subnetworks. BMI was the primary pathway linking behavioral factors to glucose regulation and inflammatory markers; the BMI-biomarker link was reproduced in 100% of resampled networks. Sleep quality was a hub impacting mental quality of life and physical health with > 95% resampling reproducibility. Omission of the BMI or sleep links significantly degraded the fit of the networks. Our findings suggest potential mechanistic pathways and useful intervention targets for future trials. Using our models, we can make quantitative predictions about health impacts that would result from targeted, weight loss and/or sleep improvement interventions. Importantly, this work highlights the utility of Bayesian networks in health behaviors research.
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Affiliation(s)
- Selene Xu
- Department of Mathematics, University of California, San Diego, San Diego, California, United States of America
| | - Wesley Thompson
- Department of Family Medicine and Public Health, University of California, San Diego, San Diego, California, United States of America
| | - Jacqueline Kerr
- Department of Family Medicine and Public Health, University of California, San Diego, San Diego, California, United States of America
| | - Suneeta Godbole
- Department of Family Medicine and Public Health, University of California, San Diego, San Diego, California, United States of America
| | - Dorothy D. Sears
- Department of Family Medicine and Public Health, University of California, San Diego, San Diego, California, United States of America
- Department of Medicine, University of California, San Diego, San Diego, California, United States of America
| | - Ruth Patterson
- Department of Family Medicine and Public Health, University of California, San Diego, San Diego, California, United States of America
| | - Loki Natarajan
- Department of Family Medicine and Public Health, University of California, San Diego, San Diego, California, United States of America
- * E-mail:
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Wolff A, Klingner N, Thompson W, Zhou Y, Lin J, Peng YY, Ramshaw JAM, Xiao Y. Modelling of focused ion beam induced increases in sample temperature: a case study of heat damage in biological samples. J Microsc 2018; 272:47-59. [PMID: 30019759 DOI: 10.1111/jmi.12731] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [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: 07/27/2017] [Revised: 06/08/2018] [Accepted: 06/13/2018] [Indexed: 11/27/2022]
Abstract
Ion beam induced heat damage in soft materials and biological samples is not yet well understood in Focused Ion Beam systems (FIBs). The work presented here discusses the physics behind the ion beam - sample interactions and the effects which lead to increases in sample temperature and potential heat damage. A model by which heat damage can be estimated and which allows parameters to be determined that reduce/prevent heat damage was derived from Fourier's law of heat transfer and compared to finite element simulations, numerical modelling results and experiments. The results suggests that ion beam induced heat damage can be prevented/minimised by reducing the ion beam current (local dose rate), decreasing the beam overlap (reduced local ion dose) and by introducing a blur (increased surface cross-section area, reduced local dose) while sputtering, patterning or imaging soft material and nonresin-embedded biological samples using FIBs. LAY DESCRIPTION FIB/SEMs, which combine a scanning electron microscope with a focused ion beam in a single device, have found increasing interest biological research. The device allows to cut samples at precisely selected areas and reveal sub surface information as well as preparing transmission electron microscope samples from bulk materials. Preparing biological samples has proven to be challenging due to the induced heat damage. This work explores the physics behind the sample cutting and proposes a model and a method, based on physical principles which allows the user to estimate the induced heat during the cutting process and to select cutting parameters which avoid heat damage in the sample.
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Affiliation(s)
- A Wolff
- Central Analytical Research Facility, Institute for Future Environments, Queensland University of Technology (QUT), Brisbane, Queensland, Australia
| | - N Klingner
- Helmholtz-Zentrum Dresden-Rossendorf (HZDR), Dresden, Germany
| | - W Thompson
- Heelionics LLC, Los Altos, California, U.S.A
| | - Y Zhou
- Institute of Health and Biomedical Innovation, Queensland University of Technology (QUT), Brisbane, Queensland, Australia.,The Australia-China Centre for Tissue Engineering and Regenerative Medicine (ACCTERM), Queensland University of Technology, Brisbane, Queensland, Australia
| | - J Lin
- Department of Implantology, Affiliated Stomatological Hospital of Xiamen Medical College, Fujan, China.,The Australia-China Centre for Tissue Engineering and Regenerative Medicine (ACCTERM), Queensland University of Technology, Brisbane, Queensland, Australia
| | - Y Y Peng
- CSIRO Manufacturing, Bayview Avenue, Clayton, Victoria, Australia
| | - J A M Ramshaw
- CSIRO Manufacturing, Bayview Avenue, Clayton, Victoria, Australia.,Department of Surgery, St. Vincent's Hospital, University of Melbourne, Victoria, Australia
| | - Y Xiao
- Institute of Health and Biomedical Innovation, Queensland University of Technology (QUT), Brisbane, Queensland, Australia.,The Australia-China Centre for Tissue Engineering and Regenerative Medicine (ACCTERM), Queensland University of Technology, Brisbane, Queensland, Australia
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Wray NR, Ripke S, Mattheisen M, Trzaskowski M, Byrne EM, Abdellaoui A, Adams MJ, Agerbo E, Air TM, Andlauer TMF, Bacanu SA, Bækvad-Hansen M, Beekman AFT, Bigdeli TB, Binder EB, Blackwood DRH, Bryois J, Buttenschøn HN, Bybjerg-Grauholm J, Cai N, Castelao E, Christensen JH, Clarke TK, Coleman JIR, Colodro-Conde L, Couvy-Duchesne B, Craddock N, Crawford GE, Crowley CA, Dashti HS, Davies G, Deary IJ, Degenhardt F, Derks EM, Direk N, Dolan CV, Dunn EC, Eley TC, Eriksson N, Escott-Price V, Kiadeh FHF, Finucane HK, Forstner AJ, Frank J, Gaspar HA, Gill M, Giusti-Rodríguez P, Goes FS, Gordon SD, Grove J, Hall LS, Hannon E, Hansen CS, Hansen TF, Herms S, Hickie IB, Hoffmann P, Homuth G, Horn C, Hottenga JJ, Hougaard DM, Hu M, Hyde CL, Ising M, Jansen R, Jin F, Jorgenson E, Knowles JA, Kohane IS, Kraft J, Kretzschmar WW, Krogh J, Kutalik Z, Lane JM, Li Y, Li Y, Lind PA, Liu X, Lu L, MacIntyre DJ, MacKinnon DF, Maier RM, Maier W, Marchini J, Mbarek H, McGrath P, McGuffin P, Medland SE, Mehta D, Middeldorp CM, Mihailov E, Milaneschi Y, Milani L, Mill J, Mondimore FM, Montgomery GW, Mostafavi S, Mullins N, Nauck M, Ng B, Nivard MG, Nyholt DR, O'Reilly PF, Oskarsson H, Owen MJ, Painter JN, Pedersen CB, Pedersen MG, Peterson RE, Pettersson E, Peyrot WJ, Pistis G, Posthuma D, Purcell SM, Quiroz JA, Qvist P, Rice JP, Riley BP, Rivera M, Saeed Mirza S, Saxena R, Schoevers R, Schulte EC, Shen L, Shi J, Shyn SI, Sigurdsson E, Sinnamon GBC, Smit JH, Smith DJ, Stefansson H, Steinberg S, Stockmeier CA, Streit F, Strohmaier J, Tansey KE, Teismann H, Teumer A, Thompson W, Thomson PA, Thorgeirsson TE, Tian C, Traylor M, Treutlein J, Trubetskoy V, Uitterlinden AG, Umbricht D, Van der Auwera S, van Hemert AM, Viktorin A, Visscher PM, Wang Y, Webb BT, Weinsheimer SM, Wellmann J, Willemsen G, Witt SH, Wu Y, Xi HS, Yang J, Zhang F, Arolt V, Baune BT, Berger K, Boomsma DI, Cichon S, Dannlowski U, de Geus ECJ, DePaulo JR, Domenici E, Domschke K, Esko T, Grabe HJ, Hamilton SP, Hayward C, Heath AC, Hinds DA, Kendler KS, Kloiber S, Lewis G, Li QS, Lucae S, Madden PFA, Magnusson PK, Martin NG, McIntosh AM, Metspalu A, Mors O, Mortensen PB, Müller-Myhsok B, Nordentoft M, Nöthen MM, O'Donovan MC, Paciga SA, Pedersen NL, Penninx BWJH, Perlis RH, Porteous DJ, Potash JB, Preisig M, Rietschel M, Schaefer C, Schulze TG, Smoller JW, Stefansson K, Tiemeier H, Uher R, Völzke H, Weissman MM, Werge T, Winslow AR, Lewis CM, Levinson DF, Breen G, Børglum AD, Sullivan PF. Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression. Nat Genet 2018; 50:668-681. [PMID: 29700475 PMCID: PMC5934326 DOI: 10.1038/s41588-018-0090-3] [Citation(s) in RCA: 1625] [Impact Index Per Article: 270.8] [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] [Subscribe] [Scholar Register] [Received: 07/28/2017] [Accepted: 02/14/2018] [Indexed: 12/12/2022]
Abstract
Major depressive disorder (MDD) is a common illness accompanied by considerable morbidity, mortality, costs, and heightened risk of suicide. We conducted a genome-wide association meta-analysis based in 135,458 cases and 344,901 controls and identified 44 independent and significant loci. The genetic findings were associated with clinical features of major depression and implicated brain regions exhibiting anatomical differences in cases. Targets of antidepressant medications and genes involved in gene splicing were enriched for smaller association signal. We found important relationships of genetic risk for major depression with educational attainment, body mass, and schizophrenia: lower educational attainment and higher body mass were putatively causal, whereas major depression and schizophrenia reflected a partly shared biological etiology. All humans carry lesser or greater numbers of genetic risk factors for major depression. These findings help refine the basis of major depression and imply that a continuous measure of risk underlies the clinical phenotype.
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Affiliation(s)
- Naomi R Wray
- Institute for Molecular Bioscience, University of Queensland, Brisbane, Queensland, Australia.
- Queensland Brain Institute, University of Queensland, Brisbane, Queensland, Australia.
| | - Stephan Ripke
- Medical and Population Genetics, Broad Institute, Cambridge, MA, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
- Department of Psychiatry and Psychotherapy, Universitätsmedizin Berlin Campus Charité Mitte, Berlin, Germany
| | - Manuel Mattheisen
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
- iSEQ, Centre for Integrative Sequencing, Aarhus University, Aarhus, Denmark
- iPSYCH, Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Maciej Trzaskowski
- Institute for Molecular Bioscience, University of Queensland, Brisbane, Queensland, Australia
| | - Enda M Byrne
- Institute for Molecular Bioscience, University of Queensland, Brisbane, Queensland, Australia
| | - Abdel Abdellaoui
- Department of Biological Psychology and EMGO+ Institute for Health and Care Research, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Mark J Adams
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - Esben Agerbo
- iPSYCH, Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
- Centre for Integrated Register-Based Research, Aarhus University, Aarhus, Denmark
- National Centre for Register-Based Research, Aarhus University, Aarhus, Denmark
| | - Tracy M Air
- Discipline of Psychiatry, University of Adelaide, Adelaide, South Australia, Australia
| | - Till M F Andlauer
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Silviu-Alin Bacanu
- Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, USA
| | - Marie Bækvad-Hansen
- iPSYCH, Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
- Center for Neonatal Screening, Department for Congenital Disorders, Statens Serum Institut, Copenhagen, Denmark
| | - Aartjan F T Beekman
- Department of Psychiatry, Vrije Universiteit Medical Center and GGZ inGeest, Amsterdam, The Netherlands
| | - Tim B Bigdeli
- Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, USA
- Virginia Institute for Psychiatric and Behavior Genetics, Richmond, VA, USA
| | - Elisabeth B Binder
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA
| | | | - Julien Bryois
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Henriette N Buttenschøn
- iSEQ, Centre for Integrative Sequencing, Aarhus University, Aarhus, Denmark
- iPSYCH, Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
- Department of Clinical Medicine, Translational Neuropsychiatry Unit, Aarhus University, Aarhus, Denmark
| | - Jonas Bybjerg-Grauholm
- iPSYCH, Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
- Center for Neonatal Screening, Department for Congenital Disorders, Statens Serum Institut, Copenhagen, Denmark
| | - Na Cai
- Statistical Genomics and Systems Genetics, European Bioinformatics Institute (EMBL-EBI), Cambridge, UK
- Human Genetics, Wellcome Trust Sanger Institute, Cambridge, UK
| | - Enrique Castelao
- Department of Psychiatry, University Hospital of Lausanne, Prilly, Switzerland
| | - Jane Hvarregaard Christensen
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
- iSEQ, Centre for Integrative Sequencing, Aarhus University, Aarhus, Denmark
- iPSYCH, Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
| | - Toni-Kim Clarke
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - Jonathan I R Coleman
- MRC Social Genetic and Developmental Psychiatry Centre, King's College London, London, UK
| | - Lucía Colodro-Conde
- Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Herston, Queensland, Australia
| | - Baptiste Couvy-Duchesne
- Queensland Brain Institute, University of Queensland, Brisbane, Queensland, Australia
- Centre for Advanced Imaging, University of Queensland, Brisbane, Queensland, Australia
| | - Nick Craddock
- Psychological Medicine, Cardiff University, Cardiff, UK
| | - Gregory E Crawford
- Center for Genomic and Computational Biology, Duke University, Durham, NC, USA
- Department of Pediatrics, Division of Medical Genetics, Duke University, Durham, NC, USA
| | - Cheynna A Crowley
- Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Hassan S Dashti
- Medical and Population Genetics, Broad Institute, Cambridge, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Gail Davies
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
| | - Ian J Deary
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
| | - Franziska Degenhardt
- Institute of Human Genetics, University of Bonn, Bonn, Germany
- Life & Brain Center, Department of Genomics, University of Bonn, Bonn, Germany
| | - Eske M Derks
- Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Herston, Queensland, Australia
| | - Nese Direk
- Psychiatry, Dokuz Eylul University School of Medicine, Izmir, Turkey
- Epidemiology, Erasmus MC, Rotterdam, The Netherlands
| | - Conor V Dolan
- Department of Biological Psychology and EMGO+ Institute for Health and Care Research, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Erin C Dunn
- Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA, USA
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Psychiatric and Neurodevelopmental Genetics Unit (PNGU), Massachusetts General Hospital, Boston, MA, USA
| | - Thalia C Eley
- MRC Social Genetic and Developmental Psychiatry Centre, King's College London, London, UK
| | | | | | | | - Hilary K Finucane
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
- Department of Mathematics, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Andreas J Forstner
- Institute of Human Genetics, University of Bonn, Bonn, Germany
- Life & Brain Center, Department of Genomics, University of Bonn, Bonn, Germany
- Department of Psychiatry (UPK), University of Basel, Basel, Switzerland
- Human Genomics Research Group, Department of Biomedicine, University of Basel, Basel, Switzerland
| | - Josef Frank
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Héléna A Gaspar
- MRC Social Genetic and Developmental Psychiatry Centre, King's College London, London, UK
| | - Michael Gill
- Department of Psychiatry, Trinity College Dublin, Dublin, Ireland
| | | | - Fernando S Goes
- Psychiatry and Behavioral Sciences, Johns Hopkins University, Baltimore, MD, USA
| | - Scott D Gordon
- Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Jakob Grove
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
- iSEQ, Centre for Integrative Sequencing, Aarhus University, Aarhus, Denmark
- iPSYCH, Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
- Bioinformatics Research Centre, Aarhus University, Aarhus, Denmark
| | - Lynsey S Hall
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
- Institute of Genetic Medicine, Newcastle University, Newcastle-upon-Tyne, UK
| | | | - Christine Søholm Hansen
- iPSYCH, Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
- Center for Neonatal Screening, Department for Congenital Disorders, Statens Serum Institut, Copenhagen, Denmark
| | - Thomas F Hansen
- Danish Headache Centre, Department of Neurology, Rigshospitalet, Glostrup, Denmark
- Institute of Biological Psychiatry, Mental Health Center Sct. Hans, Mental Health Services Capital Region of Denmark, Copenhagen, Denmark
- iPSYCH, Lundbeck Foundation Initiative for Psychiatric Research, Copenhagen, Denmark
| | - Stefan Herms
- Institute of Human Genetics, University of Bonn, Bonn, Germany
- Life & Brain Center, Department of Genomics, University of Bonn, Bonn, Germany
- Human Genomics Research Group, Department of Biomedicine, University of Basel, Basel, Switzerland
| | - Ian B Hickie
- Brain and Mind Centre, University of Sydney, Sydney, New South Wales, Australia
| | - Per Hoffmann
- Institute of Human Genetics, University of Bonn, Bonn, Germany
- Life & Brain Center, Department of Genomics, University of Bonn, Bonn, Germany
- Human Genomics Research Group, Department of Biomedicine, University of Basel, Basel, Switzerland
| | - Georg Homuth
- Interfaculty Institute for Genetics and Functional Genomics, Department of Functional Genomics, University Medicine and Ernst Moritz Arndt University Greifswald, Greifswald, Germany
| | - Carsten Horn
- Roche Pharmaceutical Research and Early Development, Pharmaceutical Sciences, Roche Innovation Center Basel, F. Hoffmann-La Roche, Ltd, Basel, Switzerland
| | - Jouke-Jan Hottenga
- Department of Biological Psychology and EMGO+ Institute for Health and Care Research, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - David M Hougaard
- iPSYCH, Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
- Center for Neonatal Screening, Department for Congenital Disorders, Statens Serum Institut, Copenhagen, Denmark
| | - Ming Hu
- Quantitative Health Sciences, Cleveland Clinic, Cleveland, OH, USA
| | - Craig L Hyde
- Statistics, Pfizer Global Research and Development, Groton, CT, USA
| | - Marcus Ising
- Max Planck Institute of Psychiatry, Munich, Germany
| | - Rick Jansen
- Department of Psychiatry, Vrije Universiteit Medical Center and GGZ inGeest, Amsterdam, The Netherlands
| | - Fulai Jin
- Case Comprehensive Cancer Center, Case Western Reserve University, Cleveland, OH, USA
- Department of Genetics and Genome Sciences, Case Western Reserve University, Cleveland, OH, USA
| | - Eric Jorgenson
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - James A Knowles
- Psychiatry and Behavioral Sciences, University of Southern California, Los Angeles, CA, USA
| | - Isaac S Kohane
- Informatics Program, Boston Children's Hospital, Boston, MA, USA
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Julia Kraft
- Department of Psychiatry and Psychotherapy, Universitätsmedizin Berlin Campus Charité Mitte, Berlin, Germany
| | | | - Jesper Krogh
- Department of Endocrinology at Herlev University Hospital, University of Copenhagen, Copenhagen, Denmark
| | - Zoltán Kutalik
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
- Institute of Social and Preventive Medicine (IUMSP), University Hospital of Lausanne, Lausanne, Switzerland
| | - Jacqueline M Lane
- Medical and Population Genetics, Broad Institute, Cambridge, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Yihan Li
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Yun Li
- Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Penelope A Lind
- Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Herston, Queensland, Australia
| | - Xiaoxiao Liu
- Department of Genetics and Genome Sciences, Case Western Reserve University, Cleveland, OH, USA
| | - Leina Lu
- Department of Genetics and Genome Sciences, Case Western Reserve University, Cleveland, OH, USA
| | - Donald J MacIntyre
- Mental Health, NHS 24, Glasgow, UK
- Division of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Dean F MacKinnon
- Psychiatry and Behavioral Sciences, Johns Hopkins University, Baltimore, MD, USA
| | - Robert M Maier
- Queensland Brain Institute, University of Queensland, Brisbane, Queensland, Australia
| | - Wolfgang Maier
- Department of Psychiatry and Psychotherapy, University of Bonn, Bonn, Germany
| | | | - Hamdi Mbarek
- Department of Biological Psychology and EMGO+ Institute for Health and Care Research, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Patrick McGrath
- Psychiatry, Columbia University College of Physicians and Surgeons, New York, NY, USA
| | - Peter McGuffin
- MRC Social Genetic and Developmental Psychiatry Centre, King's College London, London, UK
| | - Sarah E Medland
- Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Herston, Queensland, Australia
| | - Divya Mehta
- Queensland Brain Institute, University of Queensland, Brisbane, Queensland, Australia
- School of Psychology and Counseling, Queensland University of Technology, Brisbane, Queensland, Australia
| | - Christel M Middeldorp
- Department of Biological Psychology and EMGO+ Institute for Health and Care Research, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Child and Youth Mental Health Service, Children's Health Queensland Hospital and Health Service, South Brisbane, Queensland, Australia
- Child Health Research Centre, University of Queensland, Brisbane, Queensland, Australia
| | | | - Yuri Milaneschi
- Department of Psychiatry, Vrije Universiteit Medical Center and GGZ inGeest, Amsterdam, The Netherlands
| | - Lili Milani
- Estonian Genome Center, University of Tartu, Tartu, Estonia
| | | | - Francis M Mondimore
- Psychiatry and Behavioral Sciences, Johns Hopkins University, Baltimore, MD, USA
| | - Grant W Montgomery
- Institute for Molecular Bioscience, University of Queensland, Brisbane, Queensland, Australia
| | - Sara Mostafavi
- Medical Genetics, University of British Columbia, Vancouver, British Columbia, Canada
- Statistics, University of British Columbia, Vancouver, British Columbia, Canada
| | - Niamh Mullins
- MRC Social Genetic and Developmental Psychiatry Centre, King's College London, London, UK
| | - Matthias Nauck
- DZHK (German Centre for Cardiovascular Research), partner site Greifswald, University Medicine, University Medicine Greifswald, Greifswald, Germany
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Bernard Ng
- Statistics, University of British Columbia, Vancouver, British Columbia, Canada
| | - Michel G Nivard
- Department of Biological Psychology and EMGO+ Institute for Health and Care Research, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Dale R Nyholt
- Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Queensland, Australia
| | - Paul F O'Reilly
- MRC Social Genetic and Developmental Psychiatry Centre, King's College London, London, UK
| | | | - Michael J Owen
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | - Jodie N Painter
- Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Herston, Queensland, Australia
| | - Carsten Bøcker Pedersen
- iPSYCH, Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
- Centre for Integrated Register-Based Research, Aarhus University, Aarhus, Denmark
- National Centre for Register-Based Research, Aarhus University, Aarhus, Denmark
| | - Marianne Giørtz Pedersen
- iPSYCH, Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
- Centre for Integrated Register-Based Research, Aarhus University, Aarhus, Denmark
- National Centre for Register-Based Research, Aarhus University, Aarhus, Denmark
| | - Roseann E Peterson
- Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, USA
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, USA
| | - Erik Pettersson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Wouter J Peyrot
- Department of Psychiatry, Vrije Universiteit Medical Center and GGZ inGeest, Amsterdam, The Netherlands
| | - Giorgio Pistis
- Department of Psychiatry, University Hospital of Lausanne, Prilly, Switzerland
| | - Danielle Posthuma
- Complex Trait Genetics, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Clinical Genetics, Vrije Universiteit Medical Center, Amsterdam, The Netherlands
| | - Shaun M Purcell
- Department of Psychiatry, Brigham and Women's Hospital, Boston, MA, USA
| | | | - Per Qvist
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
- iSEQ, Centre for Integrative Sequencing, Aarhus University, Aarhus, Denmark
- iPSYCH, Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
| | - John P Rice
- Department of Psychiatry, Washington University in St. Louis School of Medicine, St. Louis, MO, USA
| | - Brien P Riley
- Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, USA
| | - Margarita Rivera
- MRC Social Genetic and Developmental Psychiatry Centre, King's College London, London, UK
- Department of Biochemistry and Molecular Biology II, Institute of Neurosciences, Center for Biomedical Research, University of Granada, Granada, Spain
| | | | - Richa Saxena
- Medical and Population Genetics, Broad Institute, Cambridge, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Robert Schoevers
- Department of Psychiatry, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Eva C Schulte
- Department of Psychiatry and Psychotherapy, Medical Center of the University of Munich, Campus Innenstadt, Munich, Germany
- Institute of Psychiatric Phenomics and Genomics (IPPG), Medical Center of the University of Munich, Campus Innenstadt, Munich, Germany
| | - Ling Shen
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Jianxin Shi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Stanley I Shyn
- Behavioral Health Services, Kaiser Permanente Washington, Seattle, WA, USA
| | - Engilbert Sigurdsson
- Faculty of Medicine, Department of Psychiatry, University of Iceland, Reykjavik, Iceland
| | - Grant B C Sinnamon
- School of Medicine and Dentistry, James Cook University, Townsville, Queensland, Australia
| | - Johannes H Smit
- Department of Psychiatry, Vrije Universiteit Medical Center and GGZ inGeest, Amsterdam, The Netherlands
| | - Daniel J Smith
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | | | | | - Craig A Stockmeier
- Psychiatry and Human Behavior, University of Mississippi Medical Center, Jackson, MS, USA
| | - Fabian Streit
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Jana Strohmaier
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Katherine E Tansey
- College of Biomedical and Life Sciences, Cardiff University, Cardiff, UK
| | - Henning Teismann
- Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany
| | - Alexander Teumer
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Wesley Thompson
- iPSYCH, Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
- Institute of Biological Psychiatry, Mental Health Center Sct. Hans, Mental Health Services Capital Region of Denmark, Copenhagen, Denmark
- KG Jebsen Centre for Psychosis Research, Norway Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA
| | - Pippa A Thomson
- Medical Genetics Section, CGEM, IGMM, University of Edinburgh, Edinburgh, UK
| | | | - Chao Tian
- Research, 23andMe, Inc., Mountain View, CA, USA
| | - Matthew Traylor
- Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Jens Treutlein
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Vassily Trubetskoy
- Department of Psychiatry and Psychotherapy, Universitätsmedizin Berlin Campus Charité Mitte, Berlin, Germany
| | | | - Daniel Umbricht
- Roche Pharmaceutical Research and Early Development, Neuroscience, Ophthalmology and Rare Diseases Discovery and Translational Medicine Area, Roche Innovation Center Basel, F. Hoffmann-La Roche, Ltd, Basel, Switzerland
| | - Sandra Van der Auwera
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
| | - Albert M van Hemert
- Department of Psychiatry, Leiden University Medical Center, Leiden, The Netherlands
| | - Alexander Viktorin
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Peter M Visscher
- Institute for Molecular Bioscience, University of Queensland, Brisbane, Queensland, Australia
- Queensland Brain Institute, University of Queensland, Brisbane, Queensland, Australia
| | - Yunpeng Wang
- iPSYCH, Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
- Institute of Biological Psychiatry, Mental Health Center Sct. Hans, Mental Health Services Capital Region of Denmark, Copenhagen, Denmark
- KG Jebsen Centre for Psychosis Research, Norway Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Bradley T Webb
- Virginia Institute of Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, USA
| | - Shantel Marie Weinsheimer
- iPSYCH, Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
- Institute of Biological Psychiatry, Mental Health Center Sct. Hans, Mental Health Services Capital Region of Denmark, Copenhagen, Denmark
| | - Jürgen Wellmann
- Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany
| | - Gonneke Willemsen
- Department of Biological Psychology and EMGO+ Institute for Health and Care Research, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Stephanie H Witt
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Yang Wu
- Institute for Molecular Bioscience, University of Queensland, Brisbane, Queensland, Australia
| | - Hualin S Xi
- Computational Sciences Center of Emphasis, Pfizer Global Research and Development, Cambridge, MA, USA
| | - Jian Yang
- Institute for Molecular Bioscience, University of Queensland, Brisbane, Queensland, Australia
- Queensland Brain Institute, University of Queensland, Brisbane, Queensland, Australia
| | - Futao Zhang
- Institute for Molecular Bioscience, University of Queensland, Brisbane, Queensland, Australia
| | - Volker Arolt
- Department of Psychiatry, University of Münster, Munster, Germany
| | - Bernhard T Baune
- Discipline of Psychiatry, University of Adelaide, Adelaide, South Australia, Australia
| | - Klaus Berger
- Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany
| | - Dorret I Boomsma
- Department of Biological Psychology and EMGO+ Institute for Health and Care Research, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Sven Cichon
- Institute of Human Genetics, University of Bonn, Bonn, Germany
- Human Genomics Research Group, Department of Biomedicine, University of Basel, Basel, Switzerland
- Institute of Neuroscience and Medicine (INM-1), Research Center Juelich, Juelich, Germany
- Institute of Medical Genetics and Pathology, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Udo Dannlowski
- Department of Psychiatry, University of Münster, Munster, Germany
| | - E C J de Geus
- Department of Biological Psychology and EMGO+ Institute for Health and Care Research, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Amsterdam Public Health Institute, Vrije Universiteit Medical Center, Amsterdam, The Netherlands
| | - J Raymond DePaulo
- Psychiatry and Behavioral Sciences, Johns Hopkins University, Baltimore, MD, USA
| | - Enrico Domenici
- Centre for Integrative Biology, Università degli Studi di Trento, Trento, Italy
| | - Katharina Domschke
- Department of Psychiatry and Psychotherapy, Medical Center, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Tõnu Esko
- Medical and Population Genetics, Broad Institute, Cambridge, MA, USA
- Estonian Genome Center, University of Tartu, Tartu, Estonia
| | - Hans J Grabe
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
| | - Steven P Hamilton
- Psychiatry, Kaiser Permanente Northern California, San Francisco, CA, USA
| | - Caroline Hayward
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Andrew C Heath
- Department of Psychiatry, Washington University in St. Louis School of Medicine, St. Louis, MO, USA
| | | | - Kenneth S Kendler
- Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, USA
| | - Stefan Kloiber
- Max Planck Institute of Psychiatry, Munich, Germany
- Centre for Addiction and Mental Health, Toronto, Ontario, Canada
- Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
| | - Glyn Lewis
- Division of Psychiatry, University College London, London, UK
| | - Qingqin S Li
- Neuroscience Therapeutic Area, Janssen Research and Development, LLC, Titusville, NJ, USA
| | | | - Pamela F A Madden
- Department of Psychiatry, Washington University in St. Louis School of Medicine, St. Louis, MO, USA
| | - Patrik K Magnusson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Nicholas G Martin
- Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Andrew M McIntosh
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
| | - Andres Metspalu
- Estonian Genome Center, University of Tartu, Tartu, Estonia
- Institute of Molecular and Cell Biology, University of Tartu, Tartu, Estonia
| | - Ole Mors
- iPSYCH, Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
- Psychosis Research Unit, Aarhus University Hospital, Risskov, Aarhus, Denmark
| | - Preben Bo Mortensen
- iSEQ, Centre for Integrative Sequencing, Aarhus University, Aarhus, Denmark
- iPSYCH, Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
- Centre for Integrated Register-Based Research, Aarhus University, Aarhus, Denmark
- National Centre for Register-Based Research, Aarhus University, Aarhus, Denmark
| | - Bertram Müller-Myhsok
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
- Institute of Translational Medicine, University of Liverpool, Liverpool, UK
| | - Merete Nordentoft
- iPSYCH, Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
- Mental Health Center Copenhagen, Copenhagen University Hospital, Copenhagen, Denmark
| | - Markus M Nöthen
- Institute of Human Genetics, University of Bonn, Bonn, Germany
- Life & Brain Center, Department of Genomics, University of Bonn, Bonn, Germany
| | - Michael C O'Donovan
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | - Sara A Paciga
- Human Genetics and Computational Biomedicine, Pfizer Global Research and Development, Groton, CT, USA
| | - Nancy L Pedersen
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Brenda W J H Penninx
- Department of Psychiatry, Vrije Universiteit Medical Center and GGZ inGeest, Amsterdam, The Netherlands
| | - Roy H Perlis
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Psychiatry, Harvard Medical School, Boston, MA, USA
| | - David J Porteous
- Medical Genetics Section, CGEM, IGMM, University of Edinburgh, Edinburgh, UK
| | | | - Martin Preisig
- Department of Psychiatry, University Hospital of Lausanne, Prilly, Switzerland
| | - Marcella Rietschel
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Catherine Schaefer
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Thomas G Schulze
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Psychiatry and Behavioral Sciences, Johns Hopkins University, Baltimore, MD, USA
- Institute of Psychiatric Phenomics and Genomics (IPPG), Medical Center of the University of Munich, Campus Innenstadt, Munich, Germany
- Human Genetics Branch, NIMH Division of Intramural Research Programs, Bethesda, MD, USA
- Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, Göttingen, Germany
| | - Jordan W Smoller
- Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA, USA
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Psychiatric and Neurodevelopmental Genetics Unit (PNGU), Massachusetts General Hospital, Boston, MA, USA
| | - Kari Stefansson
- deCODE Genetics/Amgen, Inc., Reykjavik, Iceland
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Henning Tiemeier
- Epidemiology, Erasmus MC, Rotterdam, The Netherlands
- Child and Adolescent Psychiatry, Erasmus MC, Rotterdam, The Netherlands
- Psychiatry, Erasmus MC, Rotterdam, The Netherlands
| | - Rudolf Uher
- Psychiatry, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Henry Völzke
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Myrna M Weissman
- Psychiatry, Columbia University College of Physicians and Surgeons, New York, NY, USA
- Division of Epidemiology, New York State Psychiatric Institute, New York, NY, USA
| | - Thomas Werge
- iPSYCH, Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
- Institute of Biological Psychiatry, Mental Health Center Sct. Hans, Mental Health Services Capital Region of Denmark, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Ashley R Winslow
- Human Genetics and Computational Biomedicine, Pfizer Global Research and Development, Cambridge, MA, USA
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Cathryn M Lewis
- MRC Social Genetic and Developmental Psychiatry Centre, King's College London, London, UK
- Department of Medical and Molecular Genetics, King's College London, London, UK
| | - Douglas F Levinson
- Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA
| | - Gerome Breen
- MRC Social Genetic and Developmental Psychiatry Centre, King's College London, London, UK
- NIHR BRC for Mental Health, King's College London, London, UK
| | - Anders D Børglum
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
- iSEQ, Centre for Integrative Sequencing, Aarhus University, Aarhus, Denmark
- iPSYCH, Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, Denmark
| | - Patrick F Sullivan
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
- Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
- Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
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Garavan H, Bartsch H, Conway K, Decastro A, Goldstein RZ, Heeringa S, Jernigan T, Potter A, Thompson W, Zahs D. Recruiting the ABCD sample: Design considerations and procedures. Dev Cogn Neurosci 2018; 32:16-22. [PMID: 29703560 PMCID: PMC6314286 DOI: 10.1016/j.dcn.2018.04.004] [Citation(s) in RCA: 562] [Impact Index Per Article: 93.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2017] [Revised: 04/03/2018] [Accepted: 04/12/2018] [Indexed: 12/01/2022] Open
Abstract
The ABCD study is a new and ongoing project of very substantial size and scale involving 21 data acquisition sites. It aims to recruit 11,500 children and follow them for ten years with extensive assessments at multiple timepoints. To deliver on its potential to adequately describe adolescent development, it is essential that it adopt recruitment procedures that are efficient and effective and will yield a sample that reflects the nation’s diversity in an epidemiologically informed manner. Here, we describe the sampling plans and recruitment procedures of this study. Participants are largely recruited through the school systems with school selection informed by gender, race and ethnicity, socioeconomic status, and urbanicity. Procedures for school selection designed to mitigate selection biases, dynamic monitoring of the accumulating sample to correct deviations from recruitment targets, and a description of the recruitment procedures designed to foster a collaborative attitude between the researchers, the schools and the local communities, are provided.
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Affiliation(s)
- H Garavan
- Department of Psychiatry, University of Vermont, Burlington, VT, 05405, USA.
| | - H Bartsch
- Center for Translational Imaging and Precision Medicine, Department of Radiology, University of California, San Diego, La Jolla, CA, 92093-0115, USA
| | - K Conway
- RTI International - Survey Research Division, 6110 Executive Boulevard, Suite 902, Rockville, MD, 20852-3907, USA
| | - A Decastro
- Center for Translational Imaging and Precision Medicine, Department of Radiology, University of California, San Diego, La Jolla, CA, 92093-0115, USA
| | - R Z Goldstein
- Departments of Psychiatry and Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - S Heeringa
- Institute for Social Research, University of Michigan, Ann Arbor, MI, 48109, USA
| | - T Jernigan
- Center for Human Development, Departments of Cognitive Science, Psychiatry, and Radiology, University of California, San Diego, La Jolla, CA, 92093-0115, USA
| | - A Potter
- Department of Psychiatry, University of Vermont, Burlington, VT, 05405, USA
| | - W Thompson
- Department of Family Medicine and Public Health, Division of Biostatistics, University of California, San Diego, La Jolla, CA, 92093, USA
| | - D Zahs
- Institute for Social Research, University of Michigan, Ann Arbor, MI, 48109, USA
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Xu S, Thompson W, Ancoli-Israel S, Liu L, Palmer B, Natarajan L. Cover Image. Psychooncology 2018. [DOI: 10.1002/pon.4685] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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Thompson W, Cogniet A, Challali M, Saddiki R, Rigal J, Le Huec JC. Analysis of cervical sagittal alignment variations after lumbar pedicle subtraction osteotomy for severe imbalance: study of 59 cases. Eur Spine J 2018; 27:16-24. [PMID: 29396766 DOI: 10.1007/s00586-018-5482-7] [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] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/22/2017] [Accepted: 01/18/2018] [Indexed: 11/29/2022]
Abstract
OBJECTIVE To evaluate postoperative changes within the cervical alignment following surgical lumbar correction by pedicle subtraction osteotomy (PSO) in patients affected with sagittal global malalignment disease. METHODS This was a monocentric, radiographic, and prospective study. 79 patients, who underwent sagittal correction by PSO, performed an EOS imaging pre- and postoperatively between January 2008 and December 2013 at the University Hospital of Bordeaux. Inclusion criteria were a performed pre- and postoperative EOS imaging and a preoperative C7SVA > 5 cm. Were excluded patients who did not allow EOS with a viewable cervical spine due to hyperkyphosis. The study involved the analysis of pelvic, lumbar, thoracic, cervical, and cranial parameters before and after the surgery. RESULTS 59 patients met the criteria. Mean follow-up was 38 months. The lumbar PSO significantly improved sagittal alignment including L1S1 lordosis, T1T12 kyphosis, and C7SVA (p < 0.001). We did not reported a significant change within cervical parameters after PSO (C2C7 lordosis 22.7°-21.5° p = 0.64, C1C7 lordosis 50.6°-48.8° p = 0.56, C1C2 angle 28.2°-27.9° p = 0.82, C7 slope stayed constant 32.3°-30.5° p = 0.47, OC2 angle 15.54°-15.56° p = 0.99). However, cranial slope decreased significantly (p < 0.05). We did not find correlation between lumbar lordosis and cervical lordosis variations (R = 0.265). Cervical lordosis was highly correlated with the C7 slope (R = 0.597) and with the Spino Cranial Angle (R = - 0.867). CONCLUSION Reciprocal changes in cervical spine after PSO are difficult to approach. Maintaining a horizontal gaze involves locoregional mechanisms of compensation adapting to the slope of C7. The cranial system by decreasing the cranial slope allows the gaze alignment and is the first compensation mechanism to get involved after a loss of lumbar lordosis. Restoring optimal C7SVA is necessary to prevent the development of secondary cervical painful symptomatology when the cranial compensation is outdated.
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Affiliation(s)
- W Thompson
- Surgical Research Lab, Orthospine Department, Bordeaux University Hospital, CHU Pellegrin, Orthorachis 2, 33076, Bordeaux, France
| | - A Cogniet
- Surgical Research Lab, Orthospine Department, Bordeaux University Hospital, CHU Pellegrin, Orthorachis 2, 33076, Bordeaux, France
| | - M Challali
- Surgical Research Lab, Orthospine Department, Bordeaux University Hospital, CHU Pellegrin, Orthorachis 2, 33076, Bordeaux, France
| | - R Saddiki
- Surgical Research Lab, Orthospine Department, Bordeaux University Hospital, CHU Pellegrin, Orthorachis 2, 33076, Bordeaux, France
| | - J Rigal
- Surgical Research Lab, Orthospine Department, Bordeaux University Hospital, CHU Pellegrin, Orthorachis 2, 33076, Bordeaux, France
| | - Jean Charles Le Huec
- Surgical Research Lab, Orthospine Department, Bordeaux University Hospital, CHU Pellegrin, Orthorachis 2, 33076, Bordeaux, France.
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Xu S, Thompson W, Ancoli-Israel S, Liu L, Palmer B, Natarajan L. Cognition, quality-of-life, and symptom clusters in breast cancer: Using Bayesian networks to elucidate complex relationships. Psychooncology 2017; 27:802-809. [PMID: 29055062 DOI: 10.1002/pon.4571] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.7] [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: 02/17/2017] [Revised: 08/04/2017] [Accepted: 10/05/2017] [Indexed: 12/20/2022]
Abstract
OBJECTIVE Breast cancer patients frequently complain of cognitive dysfunction during chemotherapy. Patients also report experiencing a cluster of sleep problems, fatigue, and depressive symptoms during chemotherapy. We aimed to understand the complex dynamic interrelationships of depression, fatigue, and sleep to ultimately elucidate their role in cognitive performance and quality of life amongst breast cancer survivors undergoing chemotherapy treatment. METHODS Our study sample comprised 74 newly diagnosed stage I to III breast cancer patients scheduled to receive chemotherapy. An objective neuropsychological test battery and self-reported fatigue, mood, sleep quality, and quality of life were collected at 3 time points: before the start of chemotherapy (baseline: BL), at the end of cycle 4 chemotherapy (C4), and 1 year after the start of chemotherapy (Y1). We applied novel Bayesian network methods to investigate the role of sleep/fatigue/mood on cognition and quality of life prior to, during, and after chemotherapy. RESULTS The fitted network exhibited strong direct and indirect links between symptoms, cognitive performance, and quality of life. The only symptom directly linked to cognitive performance was C4 sleep quality; at C4, fatigue was directly linked to sleep and thus indirectly influenced cognitive performance. Mood strongly influenced concurrent quality of life at C4 and Y1. Regression estimates indicated that worse sleep quality, fatigue, and mood were negatively associated with cognitive performance or quality of life. CONCLUSIONS The Bayesian network identified local structure (eg, fatigue-mood-QoL or sleep-cognition) and possible intervention targets (eg, a sleep intervention to reduce cognitive complaints during chemotherapy).
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Affiliation(s)
- Selene Xu
- Department of Mathematics, University of California, San Diego, CA, USA
| | - Wesley Thompson
- Department of Psychiatry, University of California, San Diego, CA, USA
| | | | - Lianqi Liu
- Department of Psychiatry, University of California, San Diego, CA, USA
| | - Barton Palmer
- Department of Psychiatry, University of California, San Diego, CA, USA.,Veterans Affairs, San Diego Health Care System, San Diego, CA, USA
| | - Loki Natarajan
- Veterans Affairs, San Diego Health Care System, San Diego, CA, USA.,Department of Family Medicine and Public Health, University of California, San Diego, CA, USA
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Huang H, Thompson W, Paulus MP. Computational Dysfunctions in Anxiety: Failure to Differentiate Signal From Noise. Biol Psychiatry 2017; 82:440-446. [PMID: 28838468 PMCID: PMC5576575 DOI: 10.1016/j.biopsych.2017.07.007] [Citation(s) in RCA: 54] [Impact Index Per Article: 7.7] [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: 10/05/2016] [Revised: 07/13/2017] [Accepted: 07/13/2017] [Indexed: 01/04/2023]
Abstract
BACKGROUND Differentiating whether an action leads to an outcome by chance or by an underlying statistical regularity that signals environmental change profoundly affects adaptive behavior. Previous studies have shown that anxious individuals may not appropriately differentiate between these situations. This investigation aims to precisely quantify the process deficit in anxious individuals and determine the degree to which these process dysfunctions are specific to anxiety. METHODS One hundred twenty-two subjects recruited as part of an ongoing large clinical population study completed a change point detection task. Reinforcement learning models were used to explicate observed behavioral differences in low anxiety (Overall Anxiety Severity and Impairment Scale score ≤ 8) and high anxiety (Overall Anxiety Severity and Impairment Scale score ≥ 9) groups. RESULTS High anxiety individuals used a suboptimal decision strategy characterized by a higher lose-shift rate. Computational models and simulations revealed that this difference was related to a higher base learning rate. These findings are better explained in a context-dependent reinforcement learning model. CONCLUSIONS Anxious subjects' exaggerated response to uncertainty leads to a suboptimal decision strategy that makes it difficult for these individuals to determine whether an action is associated with an outcome by chance or by some statistical regularity. These findings have important implications for developing new behavioral intervention strategies using learning models.
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Affiliation(s)
- He Huang
- Laureate Institute for Brain Research, Tulsa, OK
| | - Wesley Thompson
- Laureate Institute for Brain Research, Tulsa, OK,Psychiatry, University of California San Diego, La Jolla, CA
| | - Martin P. Paulus
- Laureate Institute for Brain Research, Tulsa, OK,Psychiatry, University of California San Diego, La Jolla, CA
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Crain J, McFaull S, Rao DP, Do MT, Thompson W. At-a-glance, Emergency department surveillance of thermal burns and scalds, electronic Canadian Hospitals Injury Reporting and Prevention Program, 2013. Health Promot Chronic Dis Prev Can 2017; 37:30-31. [PMID: 28102994 DOI: 10.24095/hpcdp.37.1.03] [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] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
INTRODUCTION Although fatality and hospitalization rates for burns in Canada have declined over time, less serious cases still commonly present to the emergency department (ED). METHODS The Canadian Hospitals Injury Reporting and Prevention Program (CHIRPP) is an injury and poisoning surveillance system administered by the Public Health Agency of Canada, operating in emergency departments of 17 hospitals. RESULTS Overall, cases reported in 2013 were scalds and contact burns from hot objects. The leading direct causes of scalds were hot beverages and hot water. The leading causes of contact burns were stoves/ovens and fireplaces/accessories. While the overall proportion of burns was highest among females, males comprised a higher proportion of burns from all mechanisms except scalds.
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Affiliation(s)
- J Crain
- Public Health Agency of Canada, Ottawa, Ontario, Canada
| | - S McFaull
- Public Health Agency of Canada, Ottawa, Ontario, Canada
| | - D P Rao
- Public Health Agency of Canada, Ottawa, Ontario, Canada
| | - M T Do
- Public Health Agency of Canada, Ottawa, Ontario, Canada.,Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - W Thompson
- Public Health Agency of Canada, Ottawa, Ontario, Canada
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Skinner R, McFaull S, Draca J, Frechette M, Kaur J, Pearson C, Thompson W. Suicide and self-inflicted injury hospitalizations in Canada (1979 to 2014/15). Health Promot Chronic Dis Prev Can 2017; 36:243-251. [PMID: 27882859 DOI: 10.24095/hpcdp.36.11.02] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
INTRODUCTION The purpose of this paper is to describe the trends and patterns of self-inflicted injuries, available from Canadian administrative data between 1979 and 2014/15, in order to inform and improve suicide prevention efforts. METHODS Suicide mortality and hospital separation data were retrieved from the Public Health Agency of Canada (PHAC) holdings of Statistics Canada's Canadian Vital Statistics: Death Database (CVS:D) (1979 to 2012); Canadian Socio-Economic Information Management System (CANSIM 2011, 2012); the Hospital Morbidity Database (HMDB) (1994/95 to 2010/11); and the Discharge Abstract Database (2011/12 to 2014/15). Mortality and hospitalization counts and rates were reported by sex, 5-year age groups and method. RESULTS The Canadian suicide rate (males and females combined, all ages, age-sex standardized rate) has decreased from 14.4/100 000 (n = 3355) in 1979 to 10.4/100 000 (n = 3926) in 2012, with an annual percent change (APC) of -1.2% (95% CI: -1.3 to -1.0). However, this trend was not observed in both sexes: female suicide rates stabilized around 1990, while male rates continued declining over time-yet males still accounted for 75.7% of all suicides in 2012. Suffocation (hanging and strangulation) was the primary method of suicide (46.9%) among Canadians of all ages in 2012, followed by poisoning at 23.3%. In the 2014/15 fiscal year, there were 13 438 hospitalizations in Canada (excluding Quebec) associated with self-inflicted injuries-over 3 times the number of suicides. Over time females have displayed consistently higher rates of hospitalization for self-inflicted injury than males, with 63% of the total. Poisoning was reported as the most frequent means of self-inflicted harm in the fiscal year 2014/15, at 86% of all hospitalizations. CONCLUSION Suicides and self-inflicted injuries continue to be a serious - but preventable - public health problem that requires ongoing surveillance.
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Affiliation(s)
- R Skinner
- Public Health Agency of Canada, Ottawa, Ontario, Canada
| | - S McFaull
- Public Health Agency of Canada, Ottawa, Ontario, Canada
| | - J Draca
- Public Health Agency of Canada, Ottawa, Ontario, Canada
| | - M Frechette
- Public Health Agency of Canada, Ottawa, Ontario, Canada
| | - J Kaur
- Public Health Agency of Canada, Ottawa, Ontario, Canada
| | - C Pearson
- Public Health Agency of Canada, Ottawa, Ontario, Canada
| | - W Thompson
- Public Health Agency of Canada, Ottawa, Ontario, Canada
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Korkola JE, Watson S, Smith R, Thompson W, Dame M, Liby T, Bucher E, Sudar D, Nederlof M, Heiser L, Gray JW. Abstract PD5-01: Microenvironment microarrays show that microenvironment mediated resistance mechanisms to lapatinib differ between basal and luminal HER2+ cells. Cancer Res 2017. [DOI: 10.1158/1538-7445.sabcs16-pd5-01] [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: 11/16/2022]
Abstract
Abstract
Cell lines represent a valuable model system for the study of breast cancer, as they capture the cellular diversity, mutational spectrum, expression subtypes, and genomic alterations that are observed in clinical specimens. However, like any model system, cell lines are imperfect, particularly when it comes to capturing the effects of the myriad of signals and interactions they encounter in their microenvironment (ME). We are utilizing a technology known as microenvironment microarrays (MEMA) to begin to unravel the consequences of interactions of breast cancer cells with the ME. MEMA consist of thousands of unique combinations of insoluble matrix proteins that are printed to form growth pads with ligands added to the media. Cells are grown on the MEMA spots and the effects of the specific ME that they are exposed to can be read out using immunofluorescent stains of interest. When combined with automated imaging and sophisticated image processing and analysis, the MEMA platform enables the identification of specific ME conditions that alter the phenotypes of cells. We have applied MEMA to understand both baseline responses to the ME as well as how the ME might mediate response to therapeutics. We performed a pilot experiment to investigate the effects of the ME on the response to the HER2-targeted inhibitor lapatinib. We found that HCC1954 cells continued to proliferate robustly in the presence of HGF when treated with 500 nM lapatinib. In contrast, AU565 cells were proliferative in the presence of NRG1 and lapatinib, but not HGF. Focused follow up studies showed that HGF is effective in rescuing only basal HER2+ cells, while NRG1 is effective in rescuing only luminal subtype HER2+cells. Rescue with the relevant growth factor was also observed in 3-d matrigel studies, showing this was not an artifact of the 2-d culture system. We investigated the effects of drug combinations using lapatinib plus drugs that target either MET (Crizotinib) or HER3-HER2 dimers (pertuzumab). These drug combinations were able to overcome the resistance mediated by HGF and NRG1 in basal and luminal cells respectively. We found the effectiveness of pertuzumab particularly interesting, given that lapatinib should still be inhibiting HER2 kinase activity. Parallel studies found that inhibitors targeting other kinase receptors such as IGF1R partially restored sensitivity to HER2 in the presence of NRG1, suggesting a role for such receptors in the resistance. Immunoprecipitation studies showed that IGF1R co-immunoprecipitated with HER2/HER3 when pertuzumab was absent, but that additional of pertuzumab abrogated the binding of IGF1R to HER3, suggesting the formation of HER2-dependent higher order structures that can signal even when HER2 is inhibited. These studies highlight the importance of understanding the effects of the ME on cancer cells, and demonstrate the differences between ME factors that can confer resistance to HER2 targeted inhibitors in basal and luminal HER2+ cells. These findings suggest that both subtype and ME composition may be important in determining response to combinatorial treatments and may be useful to inform clinical decision making.
Citation Format: Korkola JE, Watson S, Smith R, Thompson W, Dame M, Liby T, Bucher E, Sudar D, Nederlof M, Heiser L, Gray JW. Microenvironment microarrays show that microenvironment mediated resistance mechanisms to lapatinib differ between basal and luminal HER2+ cells [abstract]. In: Proceedings of the 2016 San Antonio Breast Cancer Symposium; 2016 Dec 6-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2017;77(4 Suppl):Abstract nr PD5-01.
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Affiliation(s)
- JE Korkola
- Oregon Health & Science University, Portland, OR
| | - S Watson
- Oregon Health & Science University, Portland, OR
| | - R Smith
- Oregon Health & Science University, Portland, OR
| | - W Thompson
- Oregon Health & Science University, Portland, OR
| | - M Dame
- Oregon Health & Science University, Portland, OR
| | - T Liby
- Oregon Health & Science University, Portland, OR
| | - E Bucher
- Oregon Health & Science University, Portland, OR
| | - D Sudar
- Oregon Health & Science University, Portland, OR
| | - M Nederlof
- Oregon Health & Science University, Portland, OR
| | - L Heiser
- Oregon Health & Science University, Portland, OR
| | - JW Gray
- Oregon Health & Science University, Portland, OR
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Thompson W, Thakar C, Rolton DJ, Wilson-MacDonald J, Nnadi C. The use of magnetically-controlled growing rods to treat children with early-onset scoliosis: early radiological results in 19 children. Bone Joint J 2017; 98-B:1240-7. [PMID: 27587527 DOI: 10.1302/0301-620x.98b9.37545] [Citation(s) in RCA: 54] [Impact Index Per Article: 7.7] [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: 11/18/2015] [Accepted: 04/06/2016] [Indexed: 12/16/2022]
Abstract
AIMS We undertook a prospective non-randomised radiological study to evaluate the preliminary results of using magnetically-controlled growing rods (MAGEC System, Ellipse technology) to treat children with early-onset scoliosis. PATIENTS AND METHODS Between January 2011 and January 2015, 19 children were treated with magnetically-controlled growing rods (MCGRs) and underwent distraction at three-monthly intervals. The mean age of our cohort was 9.1 years (4 to 14) and the mean follow-up 22.4 months (5.1 to 35.2). Of the 19 children, eight underwent conversion from traditional growing rods. Whole spine radiographs were carried out pre- and post-operatively: image intensification was used during each lengthening in the outpatient department. The measurements evaluated were Cobb angle, thoracic kyphosis, proximal junctional kyphosis and spinal growth from T1 to S1. RESULTS The mean pre-, post-operative and latest follow-up Cobb angles were 62° (37.4 to 95.8), 45.1° (16.6 to 96.2) and 43.2° (11.9 to 90.5), respectively (p < 0.05). The mean pre-, post-operative and latest follow-up T1-S1 lengths were 288.1 mm (223.2 to 351.7), 298.8 mm (251 to 355.7) and 331.1 mm (275 to 391.9), respectively (p < 0.05). In all, three patients developed proximal pull-out of their fixation and required revision surgery: there were no subsequent complications. There were no complications of outpatient distraction. CONCLUSIONS Our study shows that MCGRs provide stable correction of the deformity in early-onset scoliosis in both primary and revision procedures. They have the potential to reduce the need for multiple operations and thereby minimise the potential complications associated with traditional growing rod systems. Cite this article: Bone Joint J 2016;98-B:1240-47.
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Affiliation(s)
- W Thompson
- Spinal Unit, Bordeaux University Hospital, 33076, Bordeaux, France
| | - C Thakar
- Spinal Unit, Nuffield Orthopaedic Centre, Windmill Road, Oxford OX3 7HE, UK
| | - D J Rolton
- Auckland City Hospital, Park Road, Auckland, New, Zealand
| | - J Wilson-MacDonald
- Spinal Unit, Nuffield Orthopaedic Centre, Windmill Road, Oxford OX3 7HE, UK
| | - C Nnadi
- Spinal Unit, Nuffield Orthopaedic Centre, Windmill Road, Oxford OX3 7HE, UK
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Do MT, McFaull S, Cheesman J, Mersereau T, Rao DP, Crain J, Thompson W. Emergency department presentations for hoverboard-related injuries: the electronic Canadian Hospitals Injury Reporting and Prevention Program, 2015 to 2016. Health Promot Chronic Dis Prev Can 2016; 36:316-317. [PMID: 27977087 DOI: 10.24095/hpcdp.36.12.06] [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] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Affiliation(s)
- M T Do
- Public Health Agency of Canada, Ottawa, Ontario, Canada.,Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - S McFaull
- Public Health Agency of Canada, Ottawa, Ontario, Canada
| | - J Cheesman
- Public Health Agency of Canada, Ottawa, Ontario, Canada
| | - T Mersereau
- Consumer Product Safety Directorate, Health Canada, Ottawa, Ontario, Canada
| | - D P Rao
- Public Health Agency of Canada, Ottawa, Ontario, Canada
| | - J Crain
- Public Health Agency of Canada, Ottawa, Ontario, Canada
| | - W Thompson
- Public Health Agency of Canada, Ottawa, Ontario, Canada
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Stiles JK, Meade JC, Kucerova Z, Lyn D, Thompson W, Zakeri Z, Whittaker J. Trypanosoma bruceiinfection induces apoptosis and up-regulates neuroleukin expression in the cerebellum. Annals of Tropical Medicine & Parasitology 2016. [DOI: 10.1080/00034983.2001.11813699] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
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Affiliation(s)
- S Hu
- Department of Internal Medicine, University of New Mexico School of Medicine, Albuquerque, NM, USA
| | - Amirkaveh Mojtahed
- Division of Gastroenterology and Hepatology, University of New Mexico School of Medicine, MSC10-5550, Albuquerque, NM, 87131, USA.
| | - A Covington
- Department of Radiology, University of New Mexico School of Medicine, Albuquerque, NM, USA
| | - W Thompson
- Department of Radiology, University of New Mexico School of Medicine, Albuquerque, NM, USA
| | - N Volpicelli
- Division of Gastroenterology and Hepatology, University of New Mexico School of Medicine, MSC10-5550, Albuquerque, NM, 87131, USA
| | - Denis McCarthy
- Division of Gastroenterology and Hepatology, University of New Mexico School of Medicine, MSC10-5550, Albuquerque, NM, 87131, USA
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