-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathbibliography.bib
110 lines (105 loc) · 16.1 KB
/
bibliography.bib
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
@article{fabbriChildhoodExposureNonpersistent2023,
title = {Childhood Exposure to Non-Persistent Endocrine Disrupting Chemicals and Multi-Omic Profiles: A Panel Study},
shorttitle = {Childhood Exposure to Non-Persistent Endocrine Disrupting Chemicals and Multi-Omic Profiles},
author = {Fabbri, Lorenzo and Garlant\'ezec, Ronan and Audouze, Karine and Bustamante, Mariona and Carracedo, \'Angel and Chatzi, Leda and Ram\'on Gonz\'alez, Juan and Gra\v zulevi\v cien\.e, Regina and Keun, Hector and Lau, Chung-Ho E and Sabid\'o, Eduard and Siskos, Alexandros P and Slama, R\'emy and Thomsen, Cathrine and Wright, John and Lun Yuan, Wen and Casas, Maribel and Vrijheid, Martine and Maitre, L\'ea},
date = {2023-02-26},
journaltitle = {Environment International},
shortjournal = {Environment International},
pages = {107856},
issn = {0160-4120},
doi = {10.1016/j.envint.2023.107856},
url = {https://www.sciencedirect.com/science/article/pii/S0160412023001290},
urldate = {2023-02-27},
abstract = {Background Individuals are exposed to environmental pollutants with endocrine disrupting activity (endocrine disruptors, EDCs) and the early stages of life are particularly susceptible to these exposures. Previous studies have focused on identifying molecular signatures associated with EDCs, but none have used repeated sampling strategy and integrated multiple omics. We aimed to identify multi-omic signatures associated with childhood exposure to non-persistent EDCs. Methods We used data from the HELIX Child Panel Study, which included 156 children aged 6 to 11. Children were followed for one week, in two time periods. Twenty-two non-persistent EDCs (10 phthalate, 7 phenol, and 5 organophosphate pesticide metabolites) were measured in two weekly pools of 15 urine samples each. Multi-omic profiles (methylome, serum and urinary metabolome, proteome) were measured in blood and in a pool urine samples. We developed visit-specific Gaussian Graphical Models based on pairwise partial correlations. The visit-specific networks were then merged to identify reproducible associations. Independent biological evidence was systematically sought to confirm some of these associations and assess their potential health implications. Results 950 reproducible associations were found among which 23 were direct associations between EDCs and omics. For 9 of them, we were able to find corroborating evidence from previous literature: DEP - serotonin, OXBE - cg27466129, OXBE - dimethylamine, triclosan - leptin, triclosan - serotonin, MBzP - Neu5AC, MEHP - cg20080548, oh-MiNP - kynurenine, oxo-MiNP - 5-oxoproline. We used these associations to explore possible mechanisms between EDCs and health outcomes, and found links to health outcomes for 3 analytes: serotonin and kynurenine in relation to neuro-behavioural development, and leptin in relation to obesity and insulin resistance. Conclusions This multi-omics network analysis at two time points identified biologically relevant molecular signatures related to non-persistent EDC exposure in childhood, suggesting pathways related to neurological and metabolic outcomes.},
langid = {english},
file = {/Users/lorenzo/Zotero/storage/ZQVHPGPN/fabbri_et_al-2023-childhood_exposure_to_non-persistent_endocrine_disrupting_chemicals_and.pdf}
}
@article{fabbriChildhoodExposureNonpersistent2025,
title = {Childhood Exposure to Non-Persistent Endocrine Disruptors, Glucocorticosteroids, and Attentional Function: {{A}} Cross-Sectional Study Based on the Parametric g-Formula},
shorttitle = {Childhood Exposure to Non-Persistent Endocrine Disruptors, Glucocorticosteroids, and Attentional Function},
author = {Fabbri, Lorenzo and Robinson, Oliver and Basaga\~na, Xavier and Chatzi, Leda and Gra\v zulevi\v cien\.e, Regina and Guxens, M\`onica and Kadawathagedara, Manik and Sakhi, Amrit Kaur and Maitre, L\'ea and McEachan, Rosemary and Philippat, Claire and Pozo, \'Oscar J. and Thomsen, Cathrine and Wright, John and Yang, Tiffany and Vrijheid, Martine},
date = {2025-01-01},
journaltitle = {Environmental Research},
shortjournal = {Environmental Research},
volume = {264},
eprint = {39577729},
eprinttype = {pmid},
pages = {120413},
issn = {0013-9351},
doi = {10.1016/j.envres.2024.120413},
url = {https://www.sciencedirect.com/science/article/pii/S001393512402320X},
urldate = {2024-11-25},
abstract = {Background Evidence suggests that endocrine disrupting chemicals (EDCs) may perturb the hypothalamic-pituitary-adrenocortical (HPA) axis, which has a major role in brain development. We aimed to evaluate the effects of childhood exposure to organophosphate pesticides, phenols, and phthalate metabolites, on urinary glucocorticosteroids and inattention in childhood. Methods We used data from the Human Early-Life Exposome (HELIX) cohort (2013--2016) and the parametric g-formula to estimate associations between EDCs, glucocorticosteroids, and hit reaction time standard error (HRT-SE), a measure of inattention, and tested for possible effect modification by sex. Results We observed a positive marginal contrast (MC) for exposure increases from the 10th to the 90th percentile for methyl-paraben (MC: 0.042 and 95\% confidence interval (CI): (0.013, 0.071)), and the phthalate metabolites oxo-MiNP (MC: 0.023 and 95\% CI: (0.003, 0.044)), oh-MiNP (MC: 0.039 and 95\% CI: (0.001, 0.076)), and MEHP (MC: 0.036 and 95\% CI: (0.008, 0.063)), on HRT-SE, indicating lower attention. Several EDCs were also associated with a positive MC for cortisone, cortisol, and corticosterone production. Increased levels of the glucocorticosteroids were not associated with HRT-SE, although we found a possible effect modification by sex. Conclusions Our results suggest that multiple EDCs might interfere with inattention and with the homeostasis of the HPA axis.},
keywords = {Attention,Causality,Child,Child Preschool,Cortisone,Cross-Sectional Studies,Endocrine disruptors,Endocrine Disruptors,Environmental Exposure,Environmental Pollutants,Female,Glucocorticoids,Humans,Hydrocortisone,Male,Neuropsychological tests}
}
@article{guil-oumraitPrenatalExposureChemical2024,
title = {Prenatal {{Exposure}} to {{Chemical Mixtures}} and {{Metabolic Syndrome Risk}} in {{Children}}},
author = {G\"uil-Oumrait, Nuria and Stratakis, Nikos and Maitre, L\'ea and Anguita-Ruiz, Augusto and Urquiza, Jose and Fabbri, Lorenzo and Basaga\~na, Xavier and Heude, Barbara and Haug, Line Sm\aa stuen and Sakhi, Amrit Kaur and Iszatt, Nina and Keun, Hector C. and Wright, John and Chatzi, Leda and Vafeiadi, Marina and Bustamante, Mariona and Grazuleviciene, Regina and Andru\v saityt\.e, Sandra and Slama, R\'emy and McEachan, Rosemary and Casas, Maribel and Vrijheid, Martine},
date = {2024-05-23},
journaltitle = {JAMA Network Open},
shortjournal = {JAMA Network Open},
volume = {7},
number = {5},
pages = {e2412040},
issn = {2574-3805},
doi = {10.1001/jamanetworkopen.2024.12040},
url = {https://doi.org/10.1001/jamanetworkopen.2024.12040},
urldate = {2024-07-16},
abstract = {Prenatal exposure to ubiquitous endocrine-disrupting chemicals (EDCs) may increase the risk of metabolic syndrome (MetS) in children, but few studies have studied chemical mixtures or explored underlying protein and metabolic signatures.To investigate associations of prenatal exposure to EDC mixtures with MetS risk score in children and identify associated proteins and metabolites.This population-based, birth cohort study used data collected between April 1, 2003, and February 26, 2016, from the Human Early Life Exposome cohort based in France, Greece, Lithuania, Norway, Spain, and the UK. Eligible participants included mother-child pairs with measured prenatal EDC exposures and complete data on childhood MetS risk factors, proteins, and metabolites. Data were analyzed between October 2022 and July 2023.Nine metals, 3 organochlorine pesticides, 5 polychlorinated biphenyls, 2 polybrominated diphenyl ethers (PBDEs), 5 perfluoroalkyl substances (PFAS), 10 phthalate metabolites, 3 phenols, 4 parabens, and 4 organophosphate pesticide metabolites measured in urine and blood samples collected during pregnancy.At 6 to 11 years of age, a composite MetS risk score was constructed using z scores of waist circumference, systolic and diastolic blood pressures, triglycerides, high-density lipoprotein cholesterol, and insulin levels. Childhood levels of 44 urinary metabolites, 177 serum metabolites, and 35 plasma proteins were quantified using targeted methods. Associations were assessed using bayesian weighted quantile sum regressions applied to mixtures for each chemical group.The study included 1134 mothers (mean [SD] age at birth, 30.7 [4.9] years) and their children (mean [SD] age, 7.8 [1.5] years; 617 male children [54.4\%] and 517 female children [45.6\%]; mean [SD] MetS risk score, -0.1 [2.3]). MetS score increased per 1-quartile increase of the mixture for metals ({$\beta$}\,=\,0.44; 95\% credible interval [CrI], 0.30 to 0.59), organochlorine pesticides ({$\beta$}\,=\,0.22; 95\% CrI, 0.15 to 0.29), PBDEs ({$\beta$}\,=\,0.17; 95\% CrI, 0.06 to 0.27), and PFAS ({$\beta$}\,=\,0.19; 95\% CrI, 0.14 to 0.24). High-molecular weight phthalate mixtures ({$\beta$}\,=\,-0.07; 95\% CrI, -0.10 to -0.04) and low-molecular weight phthalate mixtures ({$\beta$}\,=\,-0.13; 95\% CrI, -0.18 to -0.08) were associated with a decreased MetS score. Most EDC mixtures were associated with elevated proinflammatory proteins, amino acids, and altered glycerophospholipids, which in turn were associated with increased MetS score.This cohort study suggests that prenatal exposure to EDC mixtures may be associated with adverse metabolic health in children. Given the pervasive nature of EDCs and the increase in MetS, these findings hold substantial public health implications.},
file = {/Users/lorenzo/Zotero/storage/YDDS77C6/Güil-Oumrait et al. - 2024 - Prenatal Exposure to Chemical Mixtures and Metabolic Syndrome Risk in Children.pdf}
}
@article{stratakisMultiomicsArchitectureChildhood2025,
title = {Multi-Omics Architecture of Childhood Obesity and Metabolic Dysfunction Uncovers Biological Pathways and Prenatal Determinants},
author = {Stratakis, Nikos and Anguita-Ruiz, Augusto and Fabbri, Lorenzo and Maitre, L\'ea and Gonz\'alez, Juan R. and Andrusaityte, Sandra and Basaga\~na, Xavier and Borr\`as, Eva and Keun, Hector C. and Chatzi, Lida and Conti, David V. and Goodrich, Jesse and Grazuleviciene, Regina and Haug, Line Sm\aa stuen and Heude, Barbara and Yuan, Wen Lun and McEachan, Rosemary and Nieuwenhuijsen, Mark and Sabid\'o, Eduard and Slama, R\'emy and Thomsen, Cathrine and Urquiza, Jose and Roumeliotaki, Theano and Vafeiadi, Marina and Wright, John and Bustamante, Mariona and Vrijheid, Martine},
date = {2025-01-14},
journaltitle = {Nature Communications},
shortjournal = {Nat Commun},
volume = {16},
number = {1},
pages = {654},
publisher = {Nature Publishing Group},
issn = {2041-1723},
doi = {10.1038/s41467-025-56013-7},
url = {https://www.nature.com/articles/s41467-025-56013-7},
urldate = {2025-01-15},
abstract = {Childhood obesity poses a significant public health challenge, yet the molecular intricacies underlying its pathobiology remain elusive. Leveraging extensive multi-omics profiling (methylome, miRNome, transcriptome, proteins and metabolites) and a rich phenotypic characterization across two parts of Europe within the population-based Human Early Life Exposome project, we unravel the molecular landscape of childhood obesity and associated metabolic dysfunction. Our integrative analysis uncovers three clusters of children defined by specific multi-omics profiles, one of which characterized not only by higher adiposity but also by a high degree of metabolic complications. This high-risk cluster exhibits a complex interplay across many biological pathways, predominantly underscored by inflammation-related cascades. Further, by incorporating comprehensive information from the environmental risk-scape of the critical pregnancy period, we identify pre-pregnancy body mass index and environmental pollutants like perfluorooctanoate and mercury as important determinants of the high-risk cluster. Overall, our work helps to identify potential risk factors for prevention and intervention strategies early in the life course aimed at mitigating obesity and its long-term health consequences.},
langid = {english},
file = {/Users/lorenzo/Zotero/storage/QJ5L4LCE/2025-stratakis-nikos-anguita-ruiz-augusto-fabbri-lorenzo-maitre-léa-gonzález-juan-r.-multi-omics-architecture-of-childhood-obesity-and-metabolic-dysfunction-uncovers-biological-pathways.pdf}
}
@article{thielComparativeAnalysisDrugInduced2017,
title = {A {{Comparative Analysis}} of {{Drug-Induced Hepatotoxicity}} in {{Clinically Relevant Situations}}},
author = {Thiel, Christoph and Cordes, Henrik and Fabbri, Lorenzo and Aschmann, H\'el\`ene Eloise and Baier, Vanessa and Smit, Ines and Atkinson, Francis and Blank, Lars Mathias and Kuepfer, Lars},
date = {2017-02-02},
journaltitle = {PLOS Computational Biology},
shortjournal = {PLOS Computational Biology},
volume = {13},
number = {2},
pages = {e1005280},
publisher = {Public Library of Science},
issn = {1553-7358},
doi = {10.1371/journal.pcbi.1005280},
url = {https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1005280},
urldate = {2023-09-20},
abstract = {Drug-induced toxicity is a significant problem in clinical care. A key problem here is a general understanding of the molecular mechanisms accompanying the transition from desired drug effects to adverse events following administration of either therapeutic or toxic doses, in particular within a patient context. Here, a comparative toxicity analysis was performed for fifteen hepatotoxic drugs by evaluating toxic changes reflecting the transition from therapeutic drug responses to toxic reactions at the cellular level. By use of physiologically-based pharmacokinetic modeling, in vitro toxicity data were first contextualized to quantitatively describe time-resolved drug responses within a patient context. Comparatively studying toxic changes across the considered hepatotoxicants allowed the identification of subsets of drugs sharing similar perturbations on key cellular processes, functional classes of genes, and individual genes. The identified subsets of drugs were next analyzed with regard to drug-related characteristics and their physicochemical properties. Toxic changes were finally evaluated to predict both molecular biomarkers and potential drug-drug interactions. The results may facilitate the early diagnosis of adverse drug events in clinical application.},
langid = {english},
file = {/Users/lorenzo/Zotero/storage/M7HULHWT/thiel_et_al-2017-a_comparative_analysis_of_drug-induced_hepatotoxicity_in_clinically_relevant.pdf}
}
@article{warkentinDietaryPatternsEuropean2024,
title = {Dietary Patterns among {{European}} Children and Their Association with Adiposity-Related Outcomes: A Multi-Country Study},
shorttitle = {Dietary Patterns among {{European}} Children and Their Association with Adiposity-Related Outcomes},
author = {Warkentin, Sarah and Stratakis, Nikos and Fabbri, Lorenzo and Wright, John and Yang, Tiffany C. and Bryant, Maria and Heude, Barbara and Slama, Remy and Montazeri, Parisa and Vafeiadi, Marina and Grazuleviciene, Regina and Brants\ae ter, Anne Lise and Vrijheid, Martine},
date = {2024-10-27},
journaltitle = {International Journal of Obesity},
shortjournal = {Int J Obes},
eprint = {39465309},
eprinttype = {pmid},
pages = {1--11},
publisher = {Nature Publishing Group},
issn = {1476-5497},
doi = {10.1038/s41366-024-01657-6},
url = {https://www.nature.com/articles/s41366-024-01657-6},
urldate = {2024-12-12},
abstract = {Children's diets in school-age are inherently unhealthy, with few meeting dietary recommendations. Yet, little is known about similarities and differences on dietary patterns across countries and their association with obesity. We aimed to derive dietary patterns in childhood and explore their association with adiposity-related outcomes in childhood and adolescence.},
langid = {english},
file = {/Users/lorenzo/Zotero/storage/DGPEUDYW/Warkentin et al. - 2024 - Dietary patterns among European children and their association with adiposity-related outcomes a mu.pdf}
}