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Stanek LW, Xue J, Zartarian VG, Poulakos AG, Tornero-Velez R, Snyder EG, Walts A, Triantafillou K. Identification of high lead exposure locations in Ohio at the census tract scale using a generalizable geospatial hotspot approach. J Expo Sci Environ Epidemiol 2024:10.1038/s41370-024-00666-x. [PMID: 38575709 DOI: 10.1038/s41370-024-00666-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Revised: 03/13/2024] [Accepted: 03/14/2024] [Indexed: 04/06/2024]
Abstract
BACKGROUND Lead is a persistent, ubiquitous pollutant whose historical sources have been largely addressed through regulation and voluntary actions. The United States (U.S.) has achieved significant decreases in children's blood lead levels (BLL) over the past 40 years; however, there is no known safe level of Pb exposure. Some communities continue to be disproportionately impacted by exposure to Pb, including Black children and families living in older homes. OBJECTIVE To identify Ohio (OH) census tracts with children exposed to Pb and evaluate potential exposure determinants. METHODS We obtained individual children's blood Pb data from 2005-2018 in OH. The percent of children with elevated BLL (EBLL) was calculated for OH census tracts using three blood Pb reference values (3.5, 5, and 10 µg/dL). Getis-Ord Gi* geospatial hotspot or top 20th percentile methodologies were then applied to identify "hotspots." Findings across multiple time periods and blood Pb reference values were evaluated and compared with existing Pb exposure indices and models. RESULTS Consistency was observed across different blood Pb reference values, with the main hotspots identified at 3.5 µg/dL, also identified at 5 and 10 µg/dL. Substantial gains in public health were demonstrated, with the biggest decreases in the number of census tracts with EBLL observed between 2008-2010 and 2011-2013. Across OH, 355 census tracts (of 2850) were identified as hotspots across 17 locations, with the majority in the most populated cites. Generally, old housing and sociodemographic factors were indicators of these EBLL hotspots. A smaller number of hotspots were not associated with these exposure determinants. Variables of race, income, and education level were all strong predictors of hotspots. IMPACT STATEMENT The Getis-Ord Gi* geospatial hotspot analysis can inform local investigations into potential Pb exposures for children living in OH. The successful application of a generalizable childhood blood Pb methodology at the census tract scale provides results that are more readily actionable. The moderate agreement of the measured blood Pb results with public Pb indices provide confidence that these indices can be used in the absence of available blood Pb surveillance data. While not a replacement for universal blood Pb testing, a consistent approach can be applied to identify areas where Pb exposure may be problematic.
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Affiliation(s)
- Lindsay W Stanek
- U.S. Environmental Protection Agency (EPA), Office of Research and Development (ORD), Research Triangle Park, North Carolina, NC, USA.
| | - Jianping Xue
- U.S. Environmental Protection Agency (EPA), Office of Research and Development (ORD), Research Triangle Park, North Carolina, NC, USA
| | - Valerie G Zartarian
- U.S. Environmental Protection Agency (EPA), Office of Research and Development (ORD), Research Triangle Park, North Carolina, NC, USA
| | - Antonios G Poulakos
- U.S. Environmental Protection Agency (EPA), Office of Research and Development (ORD), Research Triangle Park, North Carolina, NC, USA
- LinTech Global, Inc., Boston, MA, USA
| | - Rogelio Tornero-Velez
- U.S. Environmental Protection Agency (EPA), Office of Research and Development (ORD), Research Triangle Park, North Carolina, NC, USA
| | - Emily G Snyder
- U.S. Environmental Protection Agency (EPA), Office of Research and Development (ORD), Research Triangle Park, North Carolina, NC, USA
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Gavillero A, García-Casado Z, Requena C, Manrique-Silva E, Traves V, Kumar R, Nagore E. Differences by Anatomical Site of Non-Acral Lentiginous Melanomas of the Lower Limb. Dermatology 2022; 238:977-985. [PMID: 35350018 DOI: 10.1159/000522492] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2021] [Accepted: 02/06/2022] [Indexed: 12/30/2022] Open
Abstract
BACKGROUND Acral location of melanomas is associated with poor survival. It can be due, at least in part, to the fact that acral lentiginous melanoma, a distinct melanoma subtype, has a particular biological profile and a bad clinical behavior. However, since almost 50% of acral melanomas are not of acral lentiginous melanoma subtype, the worse clinical behavior could also be attributable to the intrinsic characteristics of the location. OBJECTIVE This study aimed to investigate if melanomas of the lower limb excluding acral lentiginous melanoma differ by location. METHODS This retrospective, observational study recruited patients from an oncology referral center in Spain. We included 285 patients with superficial spreading and nodular melanomas of the lower limb. We compare melanomas by site, clinical and pathological characteristics, and the differences by location of disease-free and melanoma-specific survival by the Kaplan-Meier method and Cox proportional hazard method. RESULTS Patients with melanomas on the foot, compared to those on the rest of the limb, were older and reported having suffered less sunburns; the melanoma more frequently appeared in areas that had been rarely sun exposed, were more frequently of nodular type, presented thicker tumors, with more ulceration, less regression, and more advanced stage of the disease. Foot location increased the risk of relapse and decreased melanoma-specific survival. CONCLUSION Melanoma development in foot is less related to sun exposure and is associated with pathological features that can account for the worse prognosis and poorer survival.
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Affiliation(s)
- Alicia Gavillero
- School of Physiotherapy and Podiatry, Universidad Católica de Valencia San Vicente Mártir, Valencia, Spain
| | - Zaida García-Casado
- Laboratory of Molecular Biology, Instituto Valenciano de Oncología, Valencia, Spain
| | - Celia Requena
- Department of Dermatology, Instituto Valenciano de Oncología, Valencia, Spain
| | | | - Víctor Traves
- Pathology Department, Instituto Valenciano de Oncología, Valencia, Spain
| | - Rajiv Kumar
- Division of Molecular Genetic Epidemiology, Division of Genomic Functional Analysis. DKFZ, Heidelberg, Germany
| | - Eduardo Nagore
- Department of Dermatology, Instituto Valenciano de Oncología, Valencia, Spain
- School of Medicine, Universidad Católica de Valencia San Vicente Mártir, Valencia, Spain
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Kreis J, Nedić B, Mazur J, Urban M, Schelhorn SE, Grombacher T, Geist F, Brors B, Zühlsdorf M, Staub E. RosettaSX: Reliable gene expression signature scoring of cancer models and patients. Neoplasia 2021; 23:1069-1077. [PMID: 34583245 PMCID: PMC8479477 DOI: 10.1016/j.neo.2021.08.005] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2021] [Revised: 08/28/2021] [Accepted: 08/30/2021] [Indexed: 11/29/2022]
Abstract
Gene expression signatures have proven their potential to characterize important cancer phenomena like oncogenic signaling pathway activities, cellular origins of tumors, or immune cell infiltration into tumor tissues. Large collections of expression signatures provide the basis for their application to data sets, but the applicability of each signature in a new experimental context must be reassessed. We apply a methodology that utilizes the previously developed concept of coherent expression of genes in signatures to identify translatable signatures before scoring their activity in single tumors. We present a web interface (www.rosettasx.com) that applies our methodology to expression data from the Cancer Cell Line Encyclopaedia and The Cancer Genome Atlas. Configurable heat maps visualize per-cancer signature scores for 293 hand-curated literature-derived gene sets representing a wide range of cancer-relevant transcriptional modules and phenomena. The platform allows users to complement heatmaps of signature scores with molecular information on SNVs, CNVs, gene expression, gene dependency, and protein abundance or to analyze own signatures. Clustered heatmaps and further plots to drill-down results support users in studying oncological processes in cancer subtypes, thereby providing a rich resource to explore how mechanisms of cancer interact with each other as demonstrated by exemplary analyses of 2 cancer types.
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Affiliation(s)
- Julian Kreis
- Department of Translational Medicine, Oncology Bioinformatics, Merck KGaA, Darmstadt, Germany; Faculty of Bioscience, University of Heidelberg, Heidelberg, Germany
| | - Boro Nedić
- Department of Translational Medicine, Oncology Bioinformatics, Merck KGaA, Darmstadt, Germany
| | - Johanna Mazur
- Department of Translational Medicine, Oncology Bioinformatics, Merck KGaA, Darmstadt, Germany
| | - Miriam Urban
- Department of Translational Medicine, Oncology Bioinformatics, Merck KGaA, Darmstadt, Germany
| | - Sven-Eric Schelhorn
- Department of Translational Medicine, Oncology Bioinformatics, Merck KGaA, Darmstadt, Germany
| | - Thomas Grombacher
- Department of Translational Medicine, Oncology Bioinformatics, Merck KGaA, Darmstadt, Germany
| | - Felix Geist
- Therapeutic Innovation Platform Oncology & Immuno-Oncology, Merck KGaA, Darmstadt, Germany
| | - Benedikt Brors
- Division of Applied Bioinformatics, German Cancer Research Center (DKFZ), Heidelberg, Germany; German Cancer Consortium (DKTK), Core Center, Heidelberg, Germany
| | - Michael Zühlsdorf
- Therapeutic Innovation Platform Oncology & Immuno-Oncology, Merck KGaA, Darmstadt, Germany
| | - Eike Staub
- Department of Translational Medicine, Oncology Bioinformatics, Merck KGaA, Darmstadt, Germany.
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Inshaw JRJ, Sidore C, Cucca F, Stefana MI, Crouch DJM, McCarthy MI, Mahajan A, Todd JA. Analysis of overlapping genetic association in type 1 and type 2 diabetes. Diabetologia 2021; 64:1342-1347. [PMID: 33830302 PMCID: PMC8099827 DOI: 10.1007/s00125-021-05428-0] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/18/2020] [Accepted: 01/08/2021] [Indexed: 12/20/2022]
Abstract
AIMS/HYPOTHESIS Given the potential shared aetiology between type 1 and type 2 diabetes, we aimed to identify any genetic regions associated with both diseases. For associations where there is a shared signal and the allele that increases risk to one disease also increases risk to the other, inference about shared aetiology could be made, with the potential to develop therapeutic strategies to treat or prevent both diseases simultaneously. Alternatively, if a genetic signal co-localises with divergent effect directions, it could provide valuable biological insight into how the association affects the two diseases differently. METHODS Using publicly available type 2 diabetes summary statistics from a genome-wide association study (GWAS) meta-analysis of European ancestry individuals (74,124 cases and 824,006 controls) and type 1 diabetes GWAS summary statistics from a meta-analysis of studies on individuals from the UK and Sardinia (7467 cases and 10,218 controls), we identified all regions of 0.5 Mb that contained variants associated with both diseases (false discovery rate <0.01). In each region, we performed forward stepwise logistic regression to identify independent association signals, then examined co-localisation of each type 1 diabetes signal with each type 2 diabetes signal using coloc. Any association with a co-localisation posterior probability of ≥0.9 was considered a genuine shared association with both diseases. RESULTS Of the 81 association signals from 42 genetic regions that showed association with both type 1 and type 2 diabetes, four association signals co-localised between both diseases (posterior probability ≥0.9): (1) chromosome 16q23.1, near CTRB1/BCAR1, which has been previously identified; (2) chromosome 11p15.5, near the INS gene; (3) chromosome 4p16.3, near TMEM129 and (4) chromosome 1p31.3, near PGM1. In each of these regions, the effect of genetic variants on type 1 diabetes was in the opposite direction to the effect on type 2 diabetes. Use of additional datasets also supported the previously identified co-localisation on chromosome 9p24.2, near the GLIS3 gene, in this case with a concordant direction of effect. CONCLUSIONS/INTERPRETATION Four of five association signals that co-localise between type 1 diabetes and type 2 diabetes are in opposite directions, suggesting a complex genetic relationship between the two diseases.
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Affiliation(s)
- Jamie R J Inshaw
- JDRF/Wellcome Diabetes and Inflammation Laboratory, Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
| | - Carlo Sidore
- Institute for Research in Genetics and Biomedicine (IRGB), Cagliari, Sardinia, Italy
| | - Francesco Cucca
- Institute for Research in Genetics and Biomedicine (IRGB), Cagliari, Sardinia, Italy
| | - M Irina Stefana
- JDRF/Wellcome Diabetes and Inflammation Laboratory, Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Daniel J M Crouch
- JDRF/Wellcome Diabetes and Inflammation Laboratory, Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Mark I McCarthy
- Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, UK
- Genentech, South San Francisco, CA, USA
| | - Anubha Mahajan
- Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, UK
- Genentech, South San Francisco, CA, USA
| | - John A Todd
- JDRF/Wellcome Diabetes and Inflammation Laboratory, Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
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Winter K, Pugh SL. An investigator's introduction to statistical considerations in clinical trials. Urol Oncol 2019; 37:305-312. [PMID: 30926221 DOI: 10.1016/j.urolonc.2018.12.025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2018] [Revised: 12/22/2018] [Accepted: 12/25/2018] [Indexed: 11/26/2022]
Abstract
The purpose of this paper is to provide an introduction for investigators to many of the statistical considerations for clinical trials that will aid in their collaborations with statisticians for clinical trial research endeavors and when reading the clinical trials literature. The purpose of this paper is not to turn a physician into a statistician, that takes formal training and education, as well as day in and day out immersion in the statistical design and analysis of clinical trials, hence statistician as a profession. Successful clinical trials, not to be confused with only positive clinical trials, are ones that are well designed to answer the trial question, well conducted, and appropriately reported and published, regardless of the results. Physicians and statisticians each play integral roles in the realm of clinical trials and successful clinical trials are the result of collaborations between physicians and statisticians from the beginning of an idea through the manuscript publication.
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Affiliation(s)
- Kathryn Winter
- NRG Oncology Statistics and Data Management Center, ACR, Philadelphia, PA.
| | - Stephanie L Pugh
- NRG Oncology Statistics and Data Management Center, ACR, Philadelphia, PA
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Teh TL, Rahman NNNA, Shahadat M, Wong YS, Syakir MI, Omar AKM. A comparative study of metal contamination in soil using the borehole method. Environ Monit Assess 2016; 188:404. [PMID: 27295186 DOI: 10.1007/s10661-016-5394-0] [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] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/17/2015] [Accepted: 05/25/2016] [Indexed: 06/06/2023]
Abstract
The present study deals with possible contamination of the soil by metal ions which have been affecting the environment. The concentrations of metal ions in 14 borehole samples were studied using the ICP-OES standard method. The degree of contamination was determined on the basis of single element pollution index (SEPI), combined pollution index (CPI), soil enrichment factor (SEF), and geo-accumulation index (Igeo). Geo-accumulation indices and contamination factors indicated moderate to strong contaminations for eight boreholes (BL-1, BL-2, BL-6, BL-8, BL-9, BL-10, BL-12, and BL-13) while the rest were extremely contaminated. Among all the boreholes, BL-3 and BL-11 demonstrated the highest level of Cd(II) and Pb(II) which were found the most polluted sites. The level of metal contamination was also compared with other countries. The development, variation, and limitations regarding the regulations of soil and groundwater contamination can be provided as a helpful guidance for the risk assessment of metal ions in developing countries.
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Affiliation(s)
- T L Teh
- School of Industrial Technology, Universiti Sains Malaysia, 11800, Penang, Malaysia
| | - Nik Norulaini Nik Ab Rahman
- School of Industrial Technology, Universiti Sains Malaysia, 11800, Penang, Malaysia.
- School of Distance Education, Universiti Sains Malaysia, 11800, Penang, Malaysia.
| | - Mohammad Shahadat
- School of Distance Education, Universiti Sains Malaysia, 11800, Penang, Malaysia.
| | - Y S Wong
- School of Distance Education, Universiti Sains Malaysia, 11800, Penang, Malaysia
| | - Muhammad I Syakir
- School of Industrial Technology, Universiti Sains Malaysia, 11800, Penang, Malaysia
- Centre of Global Sustainability Studies (CGSS), Universiti Sains Malaysia, 11800, Penang, Malaysia
| | - A K Mohd Omar
- School of Industrial Technology, Universiti Sains Malaysia, 11800, Penang, Malaysia
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Abstract
Objective The present study aims to analyze the eating habits and attitudes of a group of soccer referees and linesmen. Method A nutritional study was undertaken of thirty-five soccer referees (aged between 18 and 50) refereeing at different levels, from the Spanish national third division down to the provincial second division. Through the use of a 3-day food diary and 24-hour recall, this study analyzed the intake and distribution of macro- and micro-nutrients and of dietary fiber consumed on different types of day (normal, training, and match days). Results There were no significant differences in calorie intake related to the three types of day (normal, training, and match days). This was true both of overall amounts (2371.1 kcal, 2479.7 kcal, and 2368.4 kcal, respectively) and amounts per unit of body weight (32.4 kcal/kg, 33.9 kcal/kg, and 32.4 kcal/kg, respectively). In respect of macro-nutrient intake, more specifically carbohydrates, the subjects consumed a diet with an insufficient amount of carbohydrates: 279 g, as against the 371 g (REC1) or 540 g (REC2) recommended according to physical activity levels. Slight increases were observed on game days, but were not statistically significant. Consideration of micro-nutrients showed that the quantities of three vitamins (B6, B12, and C) consumed were above the recommended amounts. However, this was not an issue, since the figures related to water-soluble vitamins. Finally, the amounts of minerals (Ca, Mg, and Fe) and fiber consumed were close to recommended values, regardless of the type of day being considered. Conclusions This study found that the group of referees investigated consumed a diet that did not have sufficient calories from carbohydrates, in view of their occupation. This poor nutritional status might interfere with the development of their sporting performance and ultimately increase the risk of injury. This implies a need to design and implement a diet and to introduce educational programs on nutrition for these sportspeople.
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Affiliation(s)
| | - Pilar S Collado
- Institute of Biomedicine (IBIOMED), University of Leon, Leon, Spain ; Department of Biomedical Sciences. Physiology, University of León, 24071 León, Spain
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Sileoni V, Marconi O, Perretti G, Fantozzi P. Evaluation of different validation strategies and long term effects in NIR calibration models. Food Chem 2013; 141:2639-48. [PMID: 23871006 DOI: 10.1016/j.foodchem.2013.04.110] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2012] [Revised: 01/07/2013] [Accepted: 04/24/2013] [Indexed: 11/22/2022]
Abstract
Stable and reliable NIR calibration models for the barley malt quality assessment were developed and exhaustively evaluated. The measured parameters are: fine extract, fermentability, pH, soluble nitrogen, viscosity, friability and free-amino nitrogen. The reliability of the developed calibration models was evaluated comparing the classic leave-one-out internal validation with a more challenging one exploiting re-sampling scheme. The long-term effects, intended as possible alterations of the NIR method predictive power, due to the variation between samples collected in different years, were evaluated through an external validation which demonstrated the stability of the developed calibration models. Finally, the accuracy and the precision of the developed calibration models were evaluated in comparison with the reference methods. This exhaustive evaluation offers a realistic idea of the developed NIR methods predictive power for future unknown samples and their application in the beer industry.
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