
Alcohol, Год журнала: 2024, Номер unknown
Опубликована: Дек. 1, 2024
Язык: Английский
Alcohol, Год журнала: 2024, Номер unknown
Опубликована: Дек. 1, 2024
Язык: Английский
Research Square (Research Square), Год журнала: 2025, Номер unknown
Опубликована: Фев. 3, 2025
Язык: Английский
Процитировано
0Environmental Science and Pollution Research, Год журнала: 2025, Номер unknown
Опубликована: Март 8, 2025
Abstract Exposome represents one of the most pressing issues in environmental science research field. However, a comprehensive summary worldwide human exposome is lacking. We aimed to explore bibliometric characteristics scientific publications on exposome. A analysis from 2005 December 2024 was conducted using Web Science accordance with PRISMA guidelines. Trends/hotspots were investigated keyword frequency, co-occurrence, and thematic map. Sex disparities terms citations examined. From 2024, 931 published 363 journals written by 4529 authors 72 countries. The number tripled during last 5 years. Publications females (51% as first 34% authors) cited fewer times (13,674) than males (22,361). Human studies mainly focused air pollution, metabolomics, chemicals (e.g., per- polyfluoroalkyl substances (PFAS), endocrine-disrupting chemicals, pesticides), early-life exposure, biomarkers, microbiome, omics, cancer, reproductive disorders. Social built environment factors, occupational multi-exposure, digital exposure screen use), climate change, late-life received less attention. Our results uncovered high-impact countries, institutions, journals, references, authors, key trends/hotspots. use technologies sensors, wearables) data artificial intelligence) has blossomed overcome challenges could provide valuable knowledge toward precision prevention. risk scores represent promising avenue.
Язык: Английский
Процитировано
0medRxiv (Cold Spring Harbor Laboratory), Год журнала: 2025, Номер unknown
Опубликована: Апрель 16, 2025
Abstract Dried blood spots (DBS) are an established sample type, widely used in newborn screening programs for monitoring metabolic diseases. Their minimally invasive nature offers great promise assessing chemical exposures, particularly during early life stages and large-scale epidemiological studies. However, comprehensive evaluations of key analytical parameters such as extraction efficiency matrix effects across multiple classes remain limited. Moreover, the promising approach broadly combining targeted non-targeted mass spectrometric data evaluation remains unexplored DBS small-molecule omics. Here, we present optimized LC-HRMS workflow combined exposomic metabolomic analysis samples. Four protocols were systematically compared, with performance evaluated >200 structurally diverse toxicants, pollutants, other biomarkers. The protocol demonstrated acceptable recoveries (60–140%) reproducibility (median RSD: 18%) a majority compounds. Matrix showed median value 76% 14%). In proof-of-principle study, twelve exposure compounds target panel varied physicochemical properties identified real-life samples, several reported first time biomonitoring. Complementary further expanded detectable space, enabling reliable annotation additional exposures. high-confidence identification endogenous metabolites, including amino acids, biogenic amines, fatty acids acylcarnitines capacity to capture broad snapshot human metabolome. These findings support use integrated applications, providing toxicological biological insights from low-volume samples both, prospective retrospective Figure
Язык: Английский
Процитировано
0Human Genomics, Год журнала: 2025, Номер 19(1)
Опубликована: Апрель 30, 2025
Understanding the interplay between genetic predisposition and environmental lifestyle exposures is essential for advancing precision medicine public health. The exposome, defined as sum of all an individual encounters throughout their lifetime, complements genomic data by elucidating how external internal exposure factors influence health outcomes. This treatise highlights emerging discipline translational exposomics that integrates genomics, offering a comprehensive approach to decipher complex relationships exposures, variability, disease phenotypes. We highlight cutting-edge methodologies, including multi-omics technologies, exposome-wide association studies (EWAS), physiology-based biokinetic modeling, advanced bioinformatics approaches. These tools enable precise characterization both facilitating identification biomarkers, exposure-response relationships, prediction mechanisms. also consider importance addressing socio-economic, demographic, gender disparities in research. emphasize exposome can contextualize variation enhance causal inference, especially vulnerable populations diseases. By showcasing concrete examples proposing integrative platforms exposomics, this work underscores critical need bridge genomics prevention, risk stratification, decision-making. offers new paradigm understanding beyond genetics alone.
Язык: Английский
Процитировано
0Environmental Health Perspectives, Год журнала: 2024, Номер 132(9)
Опубликована: Сен. 1, 2024
Язык: Английский
Процитировано
1Alcohol, Год журнала: 2024, Номер unknown
Опубликована: Дек. 1, 2024
Язык: Английский
Процитировано
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