Analysis and identification of seized doping-related products are important tasks for customs or forensic laboratories in order to prevent potentially dangerous and illegal compounds to go into circulation. At the Section of Forensic Chemistry in Copenhagen, we have a workflow consisting of four complimentary validated methods to identify common doping-related substances: liquid chromatography-ultraviolet (LC-UV), LC coupled with time of flight mass spectrometry (LC-TOF-MS), the colorimetric Bradford assay, and an immunoassay. The Bradford assay screens for peptide or proteins in the sample, and the immunoassay confirmed human chorionic gonadotropin (hCG). LC-UV was carried out with a C4 protein column for identification of peptides and proteins from a standard reference library, based on retention times and ratios between peak areas at 220, 254, and 280 nm. LC-TOF-MS was performed using a C18 column, and identification was based on comparison of the retention time and the accurate mass with those of reference standards. In 2019, we received 36 samples for peptide/protein analysis, all of which were tested using the LC-UV, LC-TOF-MS, and colorimetric method, and samples suspected of containing hCG were confirmed with an immunoassay. We found a total of 15 samples containing an illegal doping substance, 12 samples containing substances not prohibited by the Danish Doping List, and nine samples containing no peptides or proteins. In conclusion, the four complimentary methods constitute a suitable approach for identifying common peptide/protein doping substances in the day-to-day routine of a forensic laboratory, with limited sample preparation and interpretation of data.
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http://dx.doi.org/10.1002/dta.3026 | DOI Listing |
Front Artif Intell
December 2024
Center for Population Health Data Science, NYC Department of Health and Mental Hygiene, New York City, NY, United States.
Introduction: It is not uncommon to repurpose administrative food data to create food environment datasets in the health department and research settings; however, the available administrative data are rarely categorized in a way that supports meaningful insight or action, and ground-truthing or manually reviewing an entire city or neighborhood is rate-limiting to essential operations and analysis. We show that such categorizations should be viewed as a classification problem well addressed by recent advances in natural language processing and deep learning-with the advent of large language models (LLMs).
Methods: To demonstrate how to automate the process of categorizing food stores, we use the foundation model BERT to give a first approximation to such categorizations: a best guess by store name.
Med Educ
December 2024
Department of Oncology, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada.
Int J Behav Nutr Phys Act
December 2024
Glotech Group, Contractor for the Division of Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, 6710B Rockledge DrMSC 7004, Bethesda, MD, 20892, USA.
Background: Early-life food exposures may influence food preferences and receptivity, thereby impacting long-term diet quality. Infant exposure to discretionary foods may be more detrimental for infants with high food approach traits; conversely, early exposure to fruits and vegetables may be more important for those with high food avoidance traits. This study investigated associations of infant food exposures with early childhood diet quality and whether these associations are modified by infant appetitive traits.
View Article and Find Full Text PDFBMC Med
December 2024
Department of Biomedical Engineering, Montreal Neurological Institute, McGill University and Mila - Quebec AI Institute, Montreal, Canada.
Background: Pain is a complex problem that is triaged, diagnosed, treated, and billed based on which body part is painful, almost without exception. While the "body part framework" guides the organization and treatment of individual patients' pain conditions, it remains unclear how to best conceptualize, study, and treat pain conditions at the population level. Here, we investigate (1) how the body part framework agrees with population-level, biologically derived pain profiles; (2) how do data-derived pain profiles interface with other symptom domains from a whole-body perspective; and (3) whether biologically derived pain profiles capture clinically salient differences in medical history.
View Article and Find Full Text PDFEur J Nutr
December 2024
Cardiovascular Research Institute and Department of Cardiology, General Hospital of Northern Theater Command, State Key Laboratory of Frigid Zone Cardiovascular Diseases (SKLFZCD), Shenyang, 110000, Liaoning, China.
Purpose: Balanced dietary patterns, sufficient physical activity, and other healthy lifestyle behaviors are increasingly recognized as a complimentary strategy for the prevention of cardiovascular disease (CVD). We aim to explore the joint association of anti-inflammatory diet and vigorous leisure-time physical activity (LTPA) on all-cause and CVD mortality.
Methods: This retrospective cohort study included 16,068 adults from the National Health and Nutrition Examination Survey (2007-2014).
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