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1. Per-and polyfluoroalkyl substances and disrupted sleep: mediating roles of proteins

Author

Shiwen Li, Jesse A. Goodrich, Jiawen Carmen Chen, Elizabeth Costello, Emily Beglarian, Jiawen Liao, Tanya L. Alderete, Damaskini Valvi, Brittney O. Baumert, Sarah Rock, Sandrah P. Eckel, Rob McConnell, Frank D. Gilliland, Zhanghua Chen, David V. Conti, Lida Chatzi, and Max Aung

Subjects
PFAS, Sleep, Proteomics, Environmental sciences, GE1-350
Abstract

Background: Per-and polyfluoroalkyl substances (PFAS) contamination may disrupt sleep through disrupted metabolic and immune functions. The study aims to investigate the association and potential mechanism between PFAS and sleep. Methods: We included 136 young adults recruited between 2014-2018 and 76 were re-assessed between 2020-2022. Additional 8 participants only had complete data between 2020-2022. Plasma PFAS (PFOS, PFOA, PFHxS, PFHpS, PFPeS, PFNA, PFDA) were measured at both visits using liquid-chromatography high-resolution mass spectrometry. Plasma proteins were measured by Olink® Explore 384 Cardiometabolic and Inflammation Panel I. Sleep duration was self-reported at both visits along with follow-up sleep disturbance and sleep-related impairment using validated instruments. We utilized multiple linear regression to explore the association between individual PFAS (in tertile) and these sleep outcomes. PFAS associated with sleep outcomes were subjected to computational toxicology analysis using the Comparative Toxicogenomics Database and Toxicology in the 21st Century database to identify potential genetic links between them. Mediation analysis using proteomic data was then performed to confirm the findings from computational toxicology analysis. Results: At baseline, one tertile increase in PFDA was associated with 0.39 (95 % CI: 0.05, 0.73) hours of shorter nightly sleep duration, and, at follow-up, PFHxS and PFOA were associated with 0.39 (95 % CI: 0.05, 0.72) and 0.32 (95 % CI: 0.01, 0.63) hours shorter sleep duration, respectively. One tertile increase in PFOS exposure was associated with a 2.99-point increase in sleep disturbance scores (95 % CI: 0.67, 5.31) and a 3.35-point increase in sleep-related impairment scores (95 % CI: 0.51, 6.20). Computational toxicology and mediation analyses identified potential mediating roles for several proteins in the PFAS-sleep associations, including 11-beta-dehydrogenase isozyme 1 (HSD11B1), cathepsin B (CTSB) and several immune system-related proteins. Conclusion: Future large scale epidemiological and mechanistic studies should confirm our findings and test effect measure modification of the associations by age.

Published
2024
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2. Cardiometabolic profiles and proteomics associated with obesity phenotypes in a longitudinal cohort of young adults

Author

Jiawen Liao, Jesse A. Goodrich, Wu Chen, Chenyu Qiu, Jiawen Carmen Chen, Elizabeth Costello, Tanya L. Alderete, Lida Chatzi, Frank Gilliland, and Zhanghua Chen

Subjects
Medicine, Science
Abstract

Abstract To assess cardiometabolic profiles and proteomics to identify biomarkers associated with the metabolically healthy and unhealthy obesity. Young adults (N = 156) enrolled were classified as not having obesity, metabolically healthy obesity (MHO) and metabolically unhealthy obesity (MUHO) based on NCEP ATP-III criteria. Plasma proteomics at study entry were measured using Olink Cardiometabolic Explore panel. Linear regression was used to assess associations between proteomics and obesity groups as well as cardiometabolic traits of glucose, insulin, and lipid profiles at baseline and follow-up visits. Enriched biological pathways were further identified based on the significant proteomic features. Among the baseline 95 (61%) and 61 (39%) participants classified as not having obesity and having obesity (8 MHO and 53 MUHO), respectively. Eighty of the participants were followed-up with an average 4.6 years. Forty-one proteins were associated with obesity (FDR

Published
2024
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3. A Pregnancy and Childhood Epigenetics Consortium (PACE) meta-analysis highlights potential relationships between birth order and neonatal blood DNA methylation

Author

Shaobo Li, Natalia Spitz, Akram Ghantous, Sarina Abrishamcar, Brigitte Reimann, Irene Marques, Matt J. Silver, Sofía Aguilar-Lacasaña, Negusse Kitaba, Faisal I. Rezwan, Stefan Röder, Lea Sirignano, Johanna Tuhkanen, Giulia Mancano, Gemma C. Sharp, Catherine Metayer, Libby Morimoto, Dan J. Stein, Heather J. Zar, Rossella Alfano, Tim Nawrot, Congrong Wang, Eero Kajantie, Elina Keikkala, Sanna Mustaniemi, Justiina Ronkainen, Sylvain Sebert, Wnurinham Silva, Marja Vääräsmäki, Vincent W. V. Jaddoe, Robin M. Bernstein, Andrew M. Prentice, Marta Cosin-Tomas, Terence Dwyer, Siri Eldevik Håberg, Zdenko Herceg, Maria C. Magnus, Monica Cheng Munthe-Kaas, Christian M. Page, Maja Völker, Maria Gilles, Tabea Send, Stephanie Witt, Lea Zillich, Luigi Gagliardi, Lorenzo Richiardi, Darina Czamara, Katri Räikkönen, Lida Chatzi, Marina Vafeiadi, S. Hasan Arshad, Susan Ewart, Michelle Plusquin, Janine F. Felix, Sophie E. Moore, Martine Vrijheid, John W. Holloway, Wilfried Karmaus, Gunda Herberth, Ana Zenclussen, Fabian Streit, Jari Lahti, Anke Hüls, Thanh T. Hoang, Stephanie J. London, and Joseph L. Wiemels

Subjects
Biology (General), QH301-705.5
Abstract

Abstract Higher birth order is associated with altered risk of many disease states. Changes in placentation and exposures to in utero growth factors with successive pregnancies may impact later life disease risk via persistent DNA methylation alterations. We investigated birth order with Illumina DNA methylation array data in each of 16 birth cohorts (8164 newborns) with European, African, and Latino ancestries from the Pregnancy and Childhood Epigenetics Consortium. Meta-analyzed data demonstrated systematic DNA methylation variation in 341 CpGs (FDR adjusted P

Published
2024
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4. Exposure to per- and polyfluoroalkyl substances and high-throughput proteomics in Hispanic youth

Author

Jiawen Carmen Chen, Jesse A. Goodrich, Douglas I. Walker, Jiawen Liao, Elizabeth Costello, Tanya L. Alderete, Damaskini Valvi, Hailey Hampson, Shiwen Li, Brittney O. Baumert, Sarah Rock, Dean P. Jones, Sandrah P. Eckel, Rob McConnell, Frank D. Gilliland, Max T. Aung, David V. Conti, Zhanghua Chen, and Lida Chatzi

Subjects
Per- and polyfluoroalkyl substances (PFAS), Proteomics, Cardiometabolic, Inflammation, Immune response, Environmental sciences, GE1-350
Abstract

Background: Strong epidemiological evidence shows positive associations between exposure to per- and polyfluoroalkyl substances (PFAS) and adverse cardiometabolic outcomes (e.g., diabetes, hypertension, and dyslipidemia). However, the underlying cardiometabolic-relevant biological activities of PFAS in humans remain largely unclear. Aim: We evaluated the associations of PFAS exposure with high-throughput proteomics in Hispanic youth. Material and Methods: We included 312 overweight/obese adolescents from the Study of Latino Adolescents at Risk (SOLAR) between 2001 and 2012, along with 137 young adults from the Metabolic and Asthma Incidence Research (Meta-AIR) between 2014 and 2018. Plasma PFAS (i.e., PFOS, PFOA, PFHxS, PFHpS, PFNA) were quantified using liquid-chromatography high-resolution mass spectrometry. Plasma proteins (n = 334) were measured utilizing the proximity extension assay using an Olink Explore Cardiometabolic Panel I. We conducted linear regression with covariate adjustment to identify PFAS-associated proteins. Ingenuity Pathway Analysis, protein-protein interaction network analysis, and protein annotation were used to investigate alterations in biological functions and protein clusters. Results: Results after adjusting for multiple comparisons showed 13 significant PFAS-associated proteins in SOLAR and six in Meta-AIR, sharing similar functions in inflammation, immunity, and oxidative stress. In SOLAR, PFNA demonstrated significant positive associations with the largest number of proteins, including ACP5, CLEC1A, HMOX1, LRP11, MCAM, SPARCL1, and SSC5D. After considering the mixture effect of PFAS, only SSC5D remained significant. In Meta-AIR, PFAS mixtures showed positive associations with GDF15 and IL6. Exploratory analysis showed similar findings. Specifically, pathway analysis in SOLAR showed PFOA- and PFNA-associated activation of immune-related pathways, and PFNA-associated activation of inflammatory response. In Meta-AIR, PFHxS-associated activation of dendric cell maturation was found. Moreover, PFAS was associated with common protein clusters of immunoregulatory interactions and JAK-STAT signaling in both cohorts. Conclusion: PFAS was associated with broad alterations of the proteomic profiles linked to pro-inflammation and immunoregulation. The biological functions of these proteins provide insight into potential molecular mechanisms of PFAS toxicity.

Published
2024
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5. Exposure to ambient air pollutants, serum miRNA networks, lipid metabolism, and non-alcoholic fatty liver disease in young adults

Author

William B. Patterson, Elizabeth Holzhausen, Bridget Chalifour, Jesse Goodrich, Elizabeth Costello, Frederick Lurmann, David V. Conti, Zhanghua Chen, Lida Chatzi, and Tanya L. Alderete

Subjects
Air pollution, NAFLD, Dyslipidemia, Cholesterol, MicroRNAs, Ozone, Environmental pollution, TD172-193.5, Environmental sciences, GE1-350
Abstract

Background and Aim: Ambient air pollution (AAP) exposure has been associated with altered blood lipids and liver fat in young adults. MicroRNAs regulate gene expression and may mediate these relationships. This work investigated associations between AAP exposure, serum microRNA networks, lipid profiles, and non-alcoholic fatty liver disease (NAFLD) risk in young adults. Methods: Participants were 170 young adults (17–22 years) from the Meta-AIR cohort of the Children’s Health Study (CHS). Residential AAP exposure (PM2.5, PM10, NO2, 8-hour maximum O3, redox-weighted oxidative capacity [Oxwt]) was spatially interpolated from monitoring stations via inverse-distance-squared weighting. Fasting serum lipids were assayed. Liver fat was imaged by MRI and NAFLD was defined by ≥ 5.5% hepatic fat fraction. Serum microRNAs were measured via NanoString and microRNA networks were constructed by weighted gene correlation network analysis. The first principal component of each network represented its expression profile. Multivariable mixed effects regression models adjusted for sociodemographic, behavioral, and clinical covariates; baseline CHS town code was a random effect. Effects estimates are scaled to one standard deviation of exposure. Mediation analysis explored microRNA profiles as potential mediators of exposure-outcome associations. DIANA-mirPATH identified overrepresented gene pathways targeted by miRNA networks. Results: Prior-month Oxwt was associated with NAFLD (OR=3.45; p = 0.003) and inversely associated with microRNA Network A (β = −0.016; p = 0.026). Prior-year NO2 was associated with non-HDL-cholesterol (β = 7.13; p = 0.01) and inversely associated with miRNA Network A (β = −0.019; p = 0.022). Network A expression was inversely associated with NAFLD (OR=0.35; p = 0.010) and non-HDL-C (β = −6.94 mg/dL; p = 0.035). Network A members miR-199a/b-3p and miR-130a, which both target fatty acid synthase, mediated 21% of the association between prior-month Oxwt exposure with NAFLD (p = 0.048) and 23.3% of the association between prior-year NO2 exposure and non-HDL-cholesterol (p = 0.026), respectively. Conclusions: Exposure to AAP may contribute to adverse lipid profiles and NAFLD risk among young adults via altered expression of microRNA profiles.

Published
2023
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6. Associations of four biological age markers with child development: A multi-omic analysis in the European HELIX cohort

Author

Oliver Robinson, ChungHo E Lau, Sungyeon Joo, Sandra Andrusaityte, Eva Borras, Paula de Prado-Bert, Lida Chatzi, Hector C Keun, Regina Grazuleviciene, Kristine B Gutzkow, Lea Maitre, Dries S Martens, Eduard Sabido, Valérie Siroux, Jose Urquiza, Marina Vafeiadi, John Wright, Tim S Nawrot, Mariona Bustamante, and Martine Vrijheid

Subjects
child development, biological age, omics, Medicine, Science, Biology (General), QH301-705.5
Abstract

Background: While biological age in adults is often understood as representing general health and resilience, the conceptual interpretation of accelerated biological age in children and its relationship to development remains unclear. We aimed to clarify the relationship of accelerated biological age, assessed through two established biological age indicators, telomere length and DNA methylation age, and two novel candidate biological age indicators, to child developmental outcomes, including growth and adiposity, cognition, behavior, lung function and the onset of puberty, among European school-age children participating in the HELIX exposome cohort. Methods: The study population included up to 1173 children, aged between 5 and 12 years, from study centres in the UK, France, Spain, Norway, Lithuania, and Greece. Telomere length was measured through qPCR, blood DNA methylation, and gene expression was measured using microarray, and proteins and metabolites were measured by a range of targeted assays. DNA methylation age was assessed using Horvath’s skin and blood clock, while novel blood transcriptome and ‘immunometabolic’ (based on plasma proteins and urinary and serum metabolites) clocks were derived and tested in a subset of children assessed six months after the main follow-up visit. Associations between biological age indicators with child developmental measures as well as health risk factors were estimated using linear regression, adjusted for chronological age, sex, ethnicity, and study centre. The clock derived markers were expressed as Δ age (i.e. predicted minus chronological age). Results: Transcriptome and immunometabolic clocks predicted chronological age well in the test set (r=0.93 and r=0.84 respectively). Generally, weak correlations were observed, after adjustment for chronological age, between the biological age indicators. Conclusions: In children, as in adults, biological aging appears to be a multi-faceted process and adiposity is an important correlate of accelerated biological aging. Patterns of associations suggested that accelerated immunometabolic age may be beneficial for some aspects of child development while accelerated DNA methylation age and telomere attrition may reflect early detrimental aspects of biological aging, apparent even in children. Funding: UK Research and Innovation (MR/S03532X/1); European Commission (grant agreement numbers: 308333; 874583).

Published
2023
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7. Proteomic and Metabolomic Signatures of Diet Quality in Young Adults

Author

Elizabeth Costello, Jesse A. Goodrich, William B. Patterson, Douglas I. Walker, Jiawen (Carmen) Chen, Brittney O. Baumert, Sarah Rock, Frank D. Gilliland, Michael I. Goran, Zhanghua Chen, Tanya L. Alderete, David V. Conti, and Lida Chatzi

Subjects
diet quality, metabolomics, proteomics, pathway analysis, Nutrition. Foods and food supply, TX341-641
Abstract

The assessment of “omics” signatures may contribute to personalized medicine and precision nutrition. However, the existing literature is still limited in the homogeneity of participants’ characteristics and in limited assessments of integrated omics layers. Our objective was to use post-prandial metabolomics and fasting proteomics to identify biological pathways and functions associated with diet quality in a population of primarily Hispanic young adults. We conducted protein and metabolite-wide association studies and functional pathway analyses to assess the relationships between a priori diet indices, Healthy Eating Index-2015 (HEI) and Dietary Approaches to Stop Hypertension (DASH) diets, and proteins (n = 346) and untargeted metabolites (n = 23,173), using data from the MetaAIR study (n = 154, 61% Hispanic). Analyses were performed for each diet quality index separately, adjusting for demographics and BMI. Five proteins (ACY1, ADH4, AGXT, GSTA1, F7) and six metabolites (undecylenic acid, betaine, hyodeoxycholic acid, stearidonic acid, iprovalicarb, pyracarbolid) were associated with both diets (p < 0.05), though none were significant after adjustment for multiple comparisons. Overlapping proteins are involved in lipid and amino acid metabolism and in hemostasis, while overlapping metabolites include amino acid derivatives, bile acids, fatty acids, and pesticides. Enriched biological pathways were involved in macronutrient metabolism, immune function, and oxidative stress. These findings in young Hispanic adults contribute to efforts to develop precision nutrition and medicine for diverse populations.

Published
2024
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8. Exposure to perfluoroalkyl substances and risk of hepatocellular carcinoma in a multiethnic cohort

Author

Jesse A. Goodrich, Douglas Walker, Xiangping Lin, Hongxu Wang, Tiffany Lim, Rob McConnell, David V. Conti, Lida Chatzi, and Veronica Wendy Setiawan

Subjects
Chemical exposure, exposome, perfluorinated alkyl substance, hepatocellular carcinoma, metabolome, bile acid, Diseases of the digestive system. Gastroenterology, RC799-869
Abstract

Background & Aims: Exposure to poly- and perfluoroalkyl substances (PFAS), a class of persistent organic pollutants, is ubiquitous. Animal studies suggest that PFAS may increase risk of fatty liver and hepatocellular carcinoma (HCC) via impacts on hepatic lipid, amino acid, and glucose metabolism, but human data is lacking. We examined associations between PFAS exposure, altered metabolic pathways, and risk of non-viral HCC. Methods: In this nested case-control study, pre-diagnostic plasma PFAS and metabolomics were measured in 50 incident HCC cases and 50 individually matched controls from the Multiethnic Cohort (MEC) study. Cases/controls were matched by age, sex, race, and study area. PFAS exposure and risk of HCC were examined using conditional logistic regression. A metabolome-wide association study and pathway enrichment analysis was performed for PFAS exposure and HCC risk, and key metabolites/metabolic pathways were identified using a meet in the middle approach. Results: High perfluorooctane sulfonic acid (PFOS) levels (90th percentile from NHANES; >55 μg/L) were associated with 4.5-fold increased risk of HCC (odds ratio 4.5, 95% CI 1.2-16.0). Pathway enrichment analysis showed that PFOS exposure was associated with alterations in amino acid and glycan biosynthesis pathways, which were also associated with HCC risk. We identified 4 metabolites linking PFOS exposure with HCC, including glucose, butyric acid (a short-chain fatty acid), α-ketoisovaleric acid (a branched-chain α-keto acid), and 7α-hydroxy-3-oxo-4-cholestenoate (a bile acid), each of which was positively associated with PFOS exposure and risk of HCC. Conclusion: This proof-of-concept analysis shows that exposure to high PFOS levels was associated with increased risk of non-viral HCC, likely via alterations in glucose, amino acid, and bile acid metabolism. Larger studies are needed to confirm these findings. Lay summary: Per- and polyfluoroalkyl substances (PFAS), often referred to as “forever chemicals” because they are difficult to break down and stay in the human body for years, are extremely common and can cause liver damage. In a first of its kind study, we found that exposure to high levels of perfluorooctanesulfonic acid, one of the most common PFAS chemicals, was linked to increased risk of hepatocellular carcinoma in humans. Hepatocellular carcinoma is difficult to treat and is one of the most common forms of liver cancer, and these findings may provide new avenues for helping to prevent this disease.

Published
2022
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9. Prenatal and postnatal exposure to PFAS and cardiometabolic factors and inflammation status in children from six European cohorts

Author

Eleni Papadopoulou, Nikos Stratakis, Xavier Basagaña, Anne Lise Brantsæter, Maribel Casas, Serena Fossati, Regina Gražulevičienė, Line Småstuen Haug, Barbara Heude, Léa Maitre, Rosemary R.C. McEachan, Oliver Robinson, Theano Roumeliotaki, Eduard Sabidó, Eva Borràs, Jose Urquiza, Marina Vafeiadi, Yinqi Zhao, Rémy Slama, John Wright, David V. Conti, Martine Vrijheid, and Lida Chatzi

Subjects
PFAS, Cardiometabolic risk, HDL, Inflammation, Adiposity, BKMR, Environmental sciences, GE1-350
Abstract

Developing children are particularly vulnerable to the effects of exposure to per- and polyfluoroalkyl substances (PFAS), a group of endocrine disrupting chemicals. We hypothesized that early life exposure to PFASs is associated with poor metabolic health in children.We studied the association between prenatal and postnatal PFASs mixture exposure and cardiometabolic health in children, and the role of inflammatory proteins.In 1,101 mothers-child pairs from the Human Early Life Exposome project, we measured the concentrations of PFAS in blood collected in pregnancy and at 8 years (range = 6–12 years). We applied Bayesian Kernel Machine regression (BKMR) to estimate the associations between exposure to PFAS mixture and the cardiometabolic factors as age and sex- specific z-scores of waist circumference (WC), systolic and diastolic blood pressures (BP), and concentrations of triglycerides (TG), high-density lipoprotein (HDL-C) and low-density lipoprotein (LDL-C) cholesterol. We measured thirty six inflammatory biomarkers in child plasma and examined the underlying role of inflammatory status for the exposure-outcome association by integrating the three panels into a network.Exposure to the PFAS mixture was positively associated with HDL-C and systolic BP, and negatively associated with WC, LDL-C and TG. When we examined the independent effects of the individual chemicals in the mixture, prenatal PFHxS was negatively associated with HDL-C and prenatal PFNA was positively associated with WC and these were opposing directions from the overall mixture. Further, the network consisted of five distinct communities connected with positive and negative correlations. The selected inflammatory biomarkers were positively, while the postnatal PFAS were negatively related with the included cardiometabolic factors, and only prenatal PFOA was positively related with the pro-inflammatory cytokine IL-1beta and WC.Our study supports that prenatal, rather than postnatal, PFAS exposure might contribute to an unfavorable lipidemic profile and adiposity in childhood.

Published
2021
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10. Perfluoroalkyl substances, metabolomic profiling, and alterations in glucose homeostasis among overweight and obese Hispanic children: A proof-of-concept analysis

Author

Tanya L. Alderete, Ran Jin, Douglas I. Walker, Damaskini Valvi, Zhanghua Chen, Dean P. Jones, Cheng Peng, Frank D. Gilliland, Kiros Berhane, David V. Conti, Michael I. Goran, and Lida Chatzi

Subjects
Environmental sciences, GE1-350
Abstract

Objective: To examine the prospective associations between exposure to perfluoroalkyl substances (PFASs) and longitudinal measurements of glucose metabolism in high-risk overweight and obese Hispanic children. Methods: Forty overweight and obese Hispanic children (8–14 years) from urban Los Angeles underwent clinical measures and 2-hour oral glucose tolerance tests (OGTT) at baseline and a follow-up visit (range: 1–3 years after enrollment). Baseline plasma perfluorooctanoic acid (PFOA), perfluorooctane sulfonate (PFOS), perfluorohexane sulfonic acid (PFHxS), and the plasma metabolome were measured by liquid-chromatography with high-resolution mass spectrometry. Multiple linear regression models were used to assess the association between baseline PFASs and changes in glucose homeostasis over follow-up. A metabolome-wide association study coupled with pathway enrichment analysis was performed to evaluate metabolic dysregulation associated with plasma PFASs concentrations. We performed a structural integrated analysis aiming to characterize the joint impact of all factors and to identify latent clusters of children with alterations in glucose homeostasis, based on their exposure and metabolomics profile. Results: Each ln (ng/ml) increase in PFOA and PFHxS concentrations was associated with a 30.6 mg/dL (95% CI: 8.8–52.4) and 10.2 mg/dL (95% CI: 2.7–17.7) increase in 2-hour glucose levels, respectively. A ln (ng/ml) increase in PFHxS concentrations was also associated with 17.8 mg/dL increase in the glucose area under the curve (95% CI: 1.5–34.1). Pathway enrichment analysis showed significant alterations of lipids (e.g., glycosphingolipids, linoleic acid, and de novo lipogenesis), and amino acids (e.g., aspartate and asparagine, tyrosine, arginine and proline) in association to PFASs exposure. The integrated analysis identified a cluster of children with increased 2-h glucose levels over follow up, characterized by increased PFAS levels and altered metabolite patterns. Conclusions: This proof-of-concept analysis shows that higher PFAS exposure was associated with dysregulation of several lipid and amino acid pathways and longitudinal alterations in glucose homeostasis in Hispanic youth. Larger studies are needed to confirm these findings and fully elucidate the underlying biological mechanisms. Keywords: Perfluoroalkyl substances, Type 2 diabetes, Glucose metabolism, Metabolomics, Children

Published
2019
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11. Early life gut microbiota is associated with rapid infant growth in Hispanics from Southern California

Author

Tanya L. Alderete, Roshonda B. Jones, Justin P. Shaffer, Elizabeth A. Holzhausen, William B. Patterson, Elham Kazemian, Lida Chatzi, Rob Knight, Jasmine F. Plows, Paige K. Berger, and Michael I. Goran

Subjects
infant growth, gut microbiota, hispanics, obesity, growth trajectories, Diseases of the digestive system. Gastroenterology, RC799-869
Abstract

We aimed to determine if the newborn gut microbiota is an underlying determinant of early life growth trajectories. 132 Hispanic infants were recruited at 1-month postpartum. The infant gut microbiome was characterized using 16S rRNA amplicon sequencing. Rapid infant growth was defined as a weight-for-age z-score (WAZ) change greater than 0.67 between birth and 12-months of age. Measures of infant growth included change in WAZ, weight-for-length z-score (WLZ), and body mass index (BMI) z-scores from birth to 12-months and infant anthropometrics at 12-months (weight, skinfold thickness). Of the 132 infants, 40% had rapid growth in the first year of life. Multiple metrics of alpha-diversity predicted rapid infant growth, including a higher Shannon diversity (OR = 1.83; 95% CI: 1.07–3.29; p = .03), Faith’s phylogenic diversity (OR = 1.41, 95% CI: 1.05–1.94; p = .03), and richness (OR = 1.04, 95% CI: 1.01–1.08; p = .02). Many of these alpha-diversity metrics were also positively associated with increases in WAZ, WLZ, and BMI z-scores from birth to 12-months (pall

Published
2021
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12. TSH and FT4 Reference Intervals in Pregnancy

Author

Joris A J Osinga, Arash Derakhshan, Glenn E Palomaki, Ghalia Ashoor, Tuija Männistö, Spyridoula Maraka, Liangmiao Chen, Sofie Bliddal, Xuemian Lu, Peter N Taylor, Tanja G M Vrijkotte, Fang-Biao Tao, Suzanne J Brown, Farkhanda Ghafoor, Kris Poppe, Flora Veltri, Lida Chatzi, Bijay Vaidya, Maarten A C Broeren, Beverley M Shields, Sachiko Itoh, Lorena Mosso, Polina V Popova, Anna D Anopova, Reiko Kishi, Ashraf Aminorroaya, Maryam Kianpour, Abel López-Bermejo, Emily Oken, Amna Pirzada, Marina Vafeiadi, Wichor M Bramer, Eila Suvanto, Jun Yoshinaga, Kun Huang, Judit Bassols, Laura Boucai, Ulla Feldt-Rasmussen, Elena N Grineva, Elizabeth N Pearce, Erik K Alexander, Victor J M Pop, Scott M Nelson, John P Walsh, Robin P Peeters, Layal Chaker, Kypros H Nicolaides, Mary E D’Alton, Tim I M Korevaar, Internal Medicine, Epidemiology, Public and occupational health, APH - Health Behaviors & Chronic Diseases, APH - Methodology, ARD - Amsterdam Reproduction and Development, and APH - Aging & Later Life

Subjects
Endocrinology, Diabetes and Metabolism, Biochemistry (medical), Clinical Biochemistry, Thyroid Gland, Thyrotropin, free thyroxine (FT4), Thyroid Function Tests, reference values, Iodide Peroxidase, Biochemistry, thyroid, Thyroxine, Endocrinology, SDG 3 - Good Health and Well-being, thyrotropin (TSH), Humans, Female, pregnancy
Abstract

Context Interpretation of thyroid function tests during pregnancy is limited by the generalizability of reference intervals between cohorts due to inconsistent methodology. Objective (1) To provide an overview of published reference intervals for thyrotropin (TSH) and free thyroxine (FT4) in pregnancy, (2) to assess the consequences of common methodological between-study differences by combining raw data from different cohorts. Methods (1) Ovid MEDLINE, EMBASE, and Web of Science were searched until December 12, 2021. Studies were assessed in duplicate. (2) The individual participant data (IPD) meta-analysis was performed in participating cohorts in the Consortium on Thyroid and Pregnancy. Results (1) Large between-study methodological differences were identified, 11 of 102 included studies were in accordance with current guidelines; (2) 22 cohorts involving 63 198 participants were included in the meta-analysis. Not excluding thyroid peroxidase antibody–positive participants led to a rise in the upper limits of TSH in all cohorts, especially in the first (mean +17.4%; range +1.6 to +30.3%) and second trimester (mean +9.8%; range +0.6 to +32.3%). The use of the 95th percentile led to considerable changes in upper limits, varying from –10.8% to –21.8% for TSH and –1.2% to –13.2% for FT4. All other additional exclusion criteria changed reference interval cut-offs by a maximum of 3.5%. Applying these findings to the 102 studies included in the systematic review, 48 studies could be used in a clinical setting. Conclusion We provide an overview of clinically relevant reference intervals for TSH and FT4 in pregnancy. The results of the meta-analysis indicate that future studies can adopt a simplified study setup without additional exclusion criteria.

Published
2022

13. Obesogens and Obesity: State-of-the-Science and Future Directions Summary from a HEEDS Workshop

Author

Jerrold J. Heindel, Jessica A. Alvarez, Ella Atlas, Matthew C. Cave, Vaia Lida Chatzi, David Collier, Barbara Corkey, Douglas Fischer, Michael I. Goran, Sarah Howard, Scott Kahan, Matthias Kayhoe, Suneil Koliwad, Catherine M. Kotz, Michele La Merrill, Tim Lobstein, Carey Lumeng, David S. Ludwig, Robert H. Lustig, Pete Myers, Angel Nadal, Leonardo Trasande, Leanne M. Redman, Matthew S. Rodeheffer, Robert M. Sargis, Jacqueline M. Stephens, Thomas R. Ziegler, and Bruce Blumberg

Subjects
Nutrition and Dietetics, Medicine (miscellaneous)
Published
2023

15. Cord blood metabolites and rapid postnatal growth as multiple mediators in the prenatal propensity to childhood overweight

Author

Rossella Alfano, Michelle Plusquin, Oliver Robinson, Sonia Brescianini, Lida Chatzi, Pekka Keski-Rahkonen, Evangelos Handakas, Lea Maitre, Tim Nawrot, Nivonirina Robinot, Theano Roumeliotaki, Franco Sassi, Augustin Scalbert, Martine Vrijheid, Paolo Vineis, Lorenzo Richiardi, Daniela Zugna, Brescianini, Sonia/0000-0003-2627-1282, ALFANO, Rossella, PLUSQUIN, Michelle, Robinson, Oliver, Brescianini, Sonia, Chatzi, Lida, Keski-Rahkonen, Pekka, Handakas, Evangelos, Maitre, Lea, NAWROT, Tim, Robinot, Nivonirina, Roumeliotaki, Theano, Sassi, Franco, Scalbert, Augustin, Vrijheid, Martine, Vineis, Paolo, Richiardi, Lorenzo, and Zugna, Daniela

Subjects
Pediatric Obesity, Epidemiology, Endocrinology, Diabetes and Metabolism, Medicine (miscellaneous), Weight Gain, Body Mass Index, Endocrinology & Metabolism, Pregnancy, Risk Factors, Birth Weight, Female, Fetal Blood, Humans, Overweight, MATERNAL SMOKING, Nutrition and Dietetics, Science & Technology, Nutrition & Dietetics, BIRTH COHORT, PARITY, INSULIN SENSITIVITY, PROGESTERONE, FAT, OBESITY, COHORT PROFILE, WEIGHT, Life Sciences & Biomedicine, EARLY-PREGNANCY
Abstract

Background: The mechanisms underlying childhood overweight and obesity are poorly known. Here, we investigated the direct and indirect effects of different prenatal exposures on offspring rapid postnatal growth and overweight in childhood, mediated through cord blood metabolites. Additionally, rapid postnatal growth was considered a potential mediator on childhood overweight, alone and sequentially to each metabolite. Methods: Within four European birth-cohorts (N = 375 mother-child dyads), information on seven prenatal exposures (maternal education, pre-pregnancy BMI, weight gain and tobacco smoke during pregnancy, age at delivery, parity, and child gestational age), selected as obesogenic according to a-priori knowledge, was collected. Cord blood levels of 31 metabolites, associated with rapid postnatal growth and/or childhood overweight in a previous study, were measured via liquid-chromatography-quadrupole-time-of-flight-mass-spectrometry. Rapid growth at 12 months and childhood overweight (including obesity) between four and eight years were defined with reference to WHO growth charts. Single mediation analysis was performed using the imputation approach and multiple mediation analysis using the extended-imputation approach. Results: Single mediation suggested that the effect of maternal education, pregnancy weight gain, parity, and gestational age on rapid postnatal growth but not on childhood overweight was partly mediated by seven metabolites, including cholestenone, decenoylcarnitine(C10:1), phosphatidylcholine(C34:3), progesterone and three unidentified metabolites; and the effect of gestational age on childhood overweight was mainly mediated by rapid postnatal growth. Multiple mediation suggested that the effect of gestational age on childhood overweight was mainly mediated by rapid postnatal growth and that the mediating role of the metabolites was marginal. Conclusion: Our findings provide evidence of the involvement of in utero metabolism in the propensity to rapid postnatal growth and of rapid postnatal growth in the propensity to childhood overweight. We did not find evidence supporting a mediating role of the studied metabolites alone between the studied prenatal exposures and the propensity to childhood overweight. This work is supported by the Bijzonder Onderzoeksfonds Hasselt University through a PhD fellowship [to RA], by the UKRI Future Leaders Fellowship [MR/S03532X/1, to OR] and by the European Commission Horizon 2020 Grant to the ‘STOP Project’ [Grant ref 774548]. The ENVIRONAGE birth cohort is supported by the European Research Council [ERC-2012-StG.310898], and by funds of the Flemish Scientific Research council [FWO, G.0.733.15.N]. The Piccolipiù cohort was initially supported by the Italian National Center for Disease Prevention and Control (CCM grants years 2010 and 2014) and by the Italian Ministry of Health (art 12 and 12 bis D.lgs 502/92). The Rhea study has been funded by various European grants since 2006 and by the Greek Ministry of Health. INMA data collections were supported by grants from the Instituto de Salud Carlos III, CIBERESP, and the Generalitat de Catalunya-CIRIT. ISGlobal acknowledges support from the Spanish Ministry of Science, Innovation and Universities, “Centro de Excelencia Severo Ochoa 2013-2017”, SEV-2012-0208, and “Secretaria d’Universitats i Recerca del Departament d’Economia i Coneixement de la Generalitat de Catalunya” (2017SGR595).

Published
2022

16. Association of prenatal exposure to endocrine-disrupting chemicals with liver injury in children

Author

Vishal Midya, Elena Colicino, David V. Conti, Kiros Berhane, Erika Garcia, Nikos Stratakis, Sandra Andrusaityte, Xavier Basagaña, Maribel Casas, Serena Fossati, Regina Gražulevičienė, Line Småstuen Haug, Barbara Heude, Léa Maitre, Rosemary McEachan, Eleni Papadopoulou, Theano Roumeliotaki, Claire Philippat, Cathrine Thomsen, Jose Urquiza, Marina Vafeiadi, Nerea Varo, Miriam B. Vos, John Wright, Rob McConnell, Martine Vrijheid, Lida Chatzi, and Damaskini Valvi

Subjects
Male, Cohort profile, Growth, Endocrine Disruptors, Phenols, Pregnancy, Halogenated Diphenyl Ethers, Humans, Prospective Studies, Pesticides, Nonalcoholic steatohepatitis, Child, Fluorocarbons, In-utero, Mother, Infant, Newborn, Bayes Theorem, General Medicine, National-health, Polychlorinated Biphenyls, Liver, Maternal Exposure, Metals, Prenatal Exposure Delayed Effects, Phthalate, Environmental Pollutants, Female, Biomarkers
Abstract

Importance: Prenatal exposures to endocrine-disrupting chemicals (EDCs) may increase the risk for liver injury in children; however, human evidence is scarce, and previous studies have not considered potential EDC-mixture effects. Furthermore, the association between prenatal EDC exposure and hepatocellular apoptosis in children has not been studied previously. Objective: To investigate associations of prenatal exposure to EDC mixtures with liver injury risk and hepatocellular apoptosis in childhood. Design, setting, and participants: This prospective cohort study used data collected from April 1, 2003, to February 26, 2016, from mother-child pairs from the Human Early-Life Exposome project, a collaborative network of 6 ongoing, population-based prospective birth cohort studies from 6 European countries (France, Greece, Lithuania, Norway, Spain, and the UK). Data were analyzed from April 1, 2021, to January 31, 2022. Exposures: Three organochlorine pesticides, 5 polychlorinated biphenyls, 2 polybrominated diphenyl ethers (PBDEs), 3 phenols, 4 parabens, 10 phthalates, 4 organophosphate pesticides, 5 perfluoroalkyl substances, and 9 metals. Main outcomes and measures: Child serum levels of alanine aminotransferase (ALT), aspartate aminotransferase (AST), γ-glutamyltransferase (GGT), and CK-18 were measured at 6 to 11 years of age. Risk for liver injury was defined as having ALT, AST, and/or GGT levels above the 90th percentile. Associations of liver injury or cytokeratin 18 (CK-18) levels with each chemical group among the 45 EDCs measured in maternal blood or urine samples collected in pregnancy were estimated using 2 complimentary exposure-mixture methods: bayesian weighted quantile sum (BWQS) and bayesian kernel machine regression. Results: The study included 1108 mothers (mean [SD] age at birth, 31.0 [4.7] years) and their singleton children (mean [SD] age at liver assessment, 8.2 [1.6] years; 598 [54.0%] boys). Results of the BWQS method indicated increased odds of liver injury per exposure-mixture quartile increase for organochlorine pesticides (odds ratio [OR], 1.44 [95% credible interval (CrI), 1.21-1.71]), PBDEs (OR, 1.57 [95% CrI, 1.34-1.84]), perfluoroalkyl substances (OR, 1.73 [95% CrI, 1.45-2.09]), and metals (OR, 2.21 [95% CrI, 1.65-3.02]). Decreased odds of liver injury were associated with high-molecular-weight phthalates (OR, 0.74 [95% CrI, 0.60-0.91]) and phenols (OR, 0.66 [95% CrI, 0.54-0.78]). Higher CK-18 levels were associated with a 1-quartile increase in polychlorinated biphenyls (β, 5.84 [95% CrI, 1.69-10.08] IU/L) and PBDEs (β, 6.46 [95% CrI, 3.09-9.92] IU/L). Bayesian kernel machine regression showed associations in a similar direction as BWQS for all EDCs and a nonlinear association between phenols and CK-18 levels. Conclusions and relevance: With a combination of 2 state-of-the-art exposure-mixture approaches, consistent evidence suggests that prenatal exposures to EDCs are associated with higher risk for liver injury and CK-18 levels and constitute a potential risk factor for pediatric nonalcoholic fatty liver disease. This study was supported by grants R21ES029681, R01ES029944 (Dr Chatzi), R01ES030364 (Dr Chatzi), R21ES028903 (Dr Chatzi), R21ES029681 (Dr Chatzi), P30ES007048 (Dr Chatzi), R21ES029328 (Dr Valvi), R01ES029944 (Dr Valvi), R01ES028903 (Dr Valvi), P30ES023515 (Dr Valvi), and P30ES023515 (Dr Midya) from the NIEHS. The HELIX project was supported by FP7/2007-2013 under grant agreement 308333–the HELIX project from the European Community’s Seventh Framework Programme.

Published
2022

17. Prenatal exposure to persistent organic pollutants and childhood obesity: A systematic review and meta‐analysis of human studies

Author

Michele A. La Merrill, Daniela Fecht, Vaia Lida Chatzi, Nikos Stratakis, Damaskini Valvi, Rob McConnell, Martine Vrijheid, Sarah Rock, David V. Conti, Marc Saez, and Oliver Robinson

Subjects
obesity, Pediatric Obesity, Endocrinology, Diabetes and Metabolism, persistent organic pollutants, 010501 environmental sciences, Medical and Health Sciences, 01 natural sciences, Persistent Organic Pollutants, chemistry.chemical_compound, 0302 clinical medicine, Polybrominated diphenyl ethers, Pregnancy, POLYCHLORINATED-BIPHENYLS, Medicine, Prospective Studies, Child, Prospective cohort study, 11 Medical and Health Sciences, Pediatric, EARLY-LIFE EXPOSURE, RAPID WEIGHT-GAIN, ENVIRONMENTAL CHEMICALS, Polychlorinated Biphenyls, 17 Psychology and Cognitive Sciences, 3. Good health, Dichlorodiphenyldichloroethylene, Prenatal Exposure Delayed Effects, Meta-analysis, Environmental Pollutants, Female, STOP project, Life Sciences & Biomedicine, Waist, childhood, STOP project, ENDOCRINE-DISRUPTING CHEMICALS, IN-UTERO, 030209 endocrinology & metabolism, PERFLUOROALKYL SUBSTANCES, Article, Childhood obesity, PERFLUORINATED CHEMICALS, Endocrinology & Metabolism, 03 medical and health sciences, Environmental health, Humans, Obesity, childhood, Nutrition, 0105 earth and related environmental sciences, Science & Technology, business.industry, Psychology and Cognitive Sciences, Public Health, Environmental and Occupational Health, ORGANOCHLORINE COMPOUNDS, Hexachlorobenzene, medicine.disease, Childhood, BODY-MASS INDEX, chemistry, 13. Climate action, business
Abstract

We conducted a systematic review and meta-analysis of the associations between prenatal exposure to persistent organic pollutants (POPs) and childhood obesity. We focused on organochlorines (dichlorodiphenyltrichloroethane [DDT], dichlorodiphenyldichloroethylene [DDE], hexachlorobenzene [HCB], and polychlorinated biphenyls [PCBs]), perfluoroalkyl and polyfluoroalkyl substances (PFAS), and polybrominated diphenyl ethers (PBDEs) that are the POPs more widely studied in environmental birth cohorts so far. We search two databases (PubMed and Embase) through July/09/2021 and identified 33 studies reporting associations with prenatal organochlorine exposure, 21 studies reporting associations with prenatal PFAS, and five studies reporting associations with prenatal PBDEs. We conducted a qualitative review. Additionally, we performed random-effects meta-analyses of POP exposures, with data estimates from at least three prospective studies, and BMI-z. Prenatal DDE and HCB levels were associated with higher BMI z-score in childhood (beta: 0.12, 95% CI: 0.03, 0.21; I2 : 28.1% per study-specific log increase of DDE and beta: 0.31, 95% CI: 0.09, 0.53; I2 : 31.9% per study-specific log increase of HCB). No significant associations between PCB-153, PFOA, PFOS, or pentaPBDEs with childhood BMI were found in meta-analyses. In individual studies, there was inconclusive evidence that POP levels were positively associated with other obesity indicators (e.g., waist circumference). This study is an ancillary endeavor of the Science & Technology in childhood Obesity Policy (STOP) project (H2020 SC2; ref. 774548). This study was supported by the National Institute of Environmental Health Science (NIEHS, R01ES030364). Additional funding from NIEHS includes R21ES029681 (Chatzi, McConnell, Conti, Valvi, Stratakis), R01ES029944 (Chatzi, Conti, Valvi, Rock), R01ES030691 (Chatzi, McConnell, Conti, Valvi), R21ES028903 (Chatzi, McConnell, Valvi), P30ES007048 (McConnell, Chatzi, Conti, Stratakis), R21ES029328 (Valvi), and P30ES023515 (Valvi). Additional funding from NIH supported Dr. Conti (P01CA196569, R01CA140561, R01ES016813), and Dr. Stratakis (P30DK048522). Dr La Merill received additional funding from USDA National Institute of Food and Agriculture, Hatch project: 1002182.

Published
2021

18. A systematic review of metabolomic studies of childhood obesity: State of the evidence for metabolic determinants and consequences

Author

Rossella Alfano, Michelle Plusquin, Vaia Lida Chatzi, Chung-Ho E Lau, Oliver Robinson, Evangelos Handakas, Paolo Vineis, Medical Research Council (MRC), and Commission of the European Communities

Subjects
PREPUBERTAL CHILDREN, Pediatric Obesity, obesity, Endocrinology, Diabetes and Metabolism, Childhood obesity, Endocrinology & Metabolism, Metabolomics, Environmental health, Weight Loss, REVEALS, Humans, Medicine, Child obesity, Metabolic disease, Life Style, 11 Medical and Health Sciences, child, INSULIN-RESISTANCE, Science & Technology, FATTY-ACID, business.industry, Public Health, Environmental and Occupational Health, ASSOCIATION, medicine.disease, Mental health, Obesity, metabolomics, 17 Psychology and Cognitive Sciences, Cross-Sectional Studies, Systematic review, PHYSICAL-ACTIVITY, LIFE-STYLE INTERVENTION, RISK-FACTORS, WEIGHT, business, STOP project, SEDENTARY BEHAVIORS, Life Sciences & Biomedicine, Metabolic profile
Abstract

Childhood obesity has become a global epidemic and carries significant long-term consequences to physical and mental health. Metabolomics, the global profiling of small molecules or metabolites, may reveal the mechanisms of development of childhood obesity and clarify links between obesity and metabolic disease. A systematic review of metabolomic studies of childhood obesity was conducted, following Preferred Reporting Items for Systematic Reviews (PRISMA) guidelines, searching across Scopus, Ovid, Web of Science and PubMed databases for articles published from January 1, 2005 to July 8, 2020, retrieving 1271 different records and retaining 41 articles for qualitative synthesis. Study quality was assessed using a modified Newcastle-Ottawa Scale. Thirty-three studies were conducted on blood, six on urine, three on umbilical cord blood, and one on saliva. Thirty studies were primarily cross-sectional, five studies were primarily longitudinal, and seven studies examined effects of weight-loss following a life-style intervention. A consistent metabolic profile of childhood obesity was observed including amino acids (particularly branched chain and aromatic), carnitines, lipids, and steroids. Although the use of metabolomics in childhood obesity research is still developing, the identified metabolites have provided additional insight into the pathogenesis of many obesity-related diseases. Further longitudinal research is needed into the role of metabolic profiles and child obesity risk.

Published
2021

19. Nrf2-interacting nutrients and COVID-19: time for research to develop adaptation strategies

Author

Bousquet, Jean, Cristol, Jean-Paul, Czarlewski, Wienczyslawa, Anto, Josep M, Martineau, Adrian, Haahtela, Tari, Fonseca, Susana C, Iaccarino, Guido, Blain, Hubert, Fiocchi, Alessandro, Canonica, G Walter, Fonseca, Joao A, Vidal, Alain, Choi, Hak-Jong, Kim, Hyun Ju, Le Moing, Vincent, Reynes, Jacques, Sheikh, Aziz, Akdis, Cezmi A, Zuberbier, Torsten, Amir Hamzah Abdul Latiff, Baharudin, Abdullah, Werner, Aberer, Nancy, Abusada, Ian, Adcock, Alejandro, Afani, Ioana, Agache, Xenofon, Aggelidis, Jenifer, Agustin, Cezmi, A Akdis, Mübeccel, Akdis, Mona, Al-Ahmad, Abou Al-Zahab Bassam, Hussam, Alburdan, Oscar, Aldrey-Palacios, Emilio Alvarez Cuesta, Hiba Alwan Salman, Ashraf, Alzaabi, Salma, Amade, Gene, Ambrocio, Rosana, Angles, Isabella, Annesi-Maesano, Ignacio, J Ansotegui, Josep, M Anto, Paula Ara Bardajo, Stefania, Arasi, Margarete, Arrais, Hasan, Arshad, Maria-Cristina, Artesani, Estrella, Asayag, Francesca, Avolio, Khuzama, Azhari, Claus, Bachert, Diego, Bagnasco, Ilaria, Baiardini, Nissera, Bajrović, Petros, Bakakos, Sergio Bakeyala Mongono, Christine, Balotro-Torres, Sergio, Barba, Cristina, Barbara, Elsa, Barbosa, Bruno, Barreto, Joan, Bartra, Xavier, Basagana, Eric, D Bateman, Lkhagvaa, Battur, Anna, Bedbrook, Martín Bedolla Barajas, Bianca, Beghé, Antra, Bekere, Elizabeth, Bel, Ali Ben Kheder, Mikael, Benson, Elena-Camelia, Berghea, Karl-Christian, Bergmann, Roberto, Bernardini, David, Bernstein, Mike, Bewick, Slawomir, Bialek, Artur, Białoszewski, Thomas, Bieber, Nils, E Billo, Maria-Beatrice, Bilo, Carsten, Bindslev-Jensen, Leif, Bjermer, Hubert, Blain, Irina, Bobolea, Malgorzata Bochenska Marciniak, Christine, Bond, Attilio, Boner, Matteo, Bonini, Sergio, Bonini, Sinthia, Bosnic-Anticevich, Isabelle, Bosse, Sofia, Botskariova, Jacques, Bouchard, Louis-Philippe, Boulet, Rodolphe, Bourret, Philippe, Bousquet, Fulvio, Braido, Andrew, Briggs, Christopher, E Brightling, Jan, Brozek, Luisa, Brussino, Roland, Buhl, Roxana, Bumbacea, Rosalva, Buquicchio, María-Teresa Burguete Cabañas, Andrew, Bush, William, W Busse, Jeroen, Buters, Fernan, Caballero-Fonseca, Moïses, A Calderon, Mario, Calvo, Paulo, Camargos, Thierry, Camuzat, R Canevari, F, Antonio, Cano, G Walter Canonica, Arnaldo, Capriles-Hulett, Luis, Caraballo, Vicky, Cardona, Kai-Hakon, Carlsen, Jonas Carmona Pirez, Jorge, Caro, Warner, Carr, Pedro, Carreiro-Martins, Fredelita, Carreon-Asuncion, Ana-Maria, Carriazo, Carme Carrion, Y Ribas, Thomas, Casale, Mary-Ann, Castor, Elizabeth, Castro, G Caviglia, A, Lorenzo, Cecchi, Alfonso Cepeda Sarabia, Maciej, Chalubinski, Ramanathan, Chandrasekharan, Yoon-Seok, Chang, Victoria, Chato-Andeza, Lida, Chatzi, Christina, Chatzidaki, Niels, H Chavannes, Claudia Chaves Loureiro, Aurora-Alejandra Chavez Garcia, Marta, Chelninska, Yuzhi, Chen, Lei, Cheng, Sharon, Chinthrajah, Tomas, Chivato, Ekaterine, Chkhartishvili, George, Christoff, Henry, Chrystyn, Derek, K Chu, Antonio, Chua, Alexander, Chuchalin, Kian Fan Chung, Alberto, Cicerán, Cemal, Cingi, Giorgio, Ciprandi, Ieva, Cirule, Ana-Carla, Coelho, Enrico, Compalati, Jannis, Constantinidis, Jaime Correia de Sousa, Elisio Manuel Costa, David, Costa, María Del Carmen Costa Domínguez, André, Coste, Cottini, M, Linda, Cox, Carlos, Crisci, Maria Angiola Crivellaro, Alvaro, A Cruz, John, Cullen, Adnan, Custovic, Biljana, Cvetkovski, Wienczyslawa, Czarlewski, Gennaro, D'Amato, Jane da Silva, Ronald, Dahl, Sven-Erik, Dahlen, Vasilis, Daniilidis, Louei Darjazini Nahhas, Ulf, Darsow, Janet, Davies, Frédéric de Blay, Giulia De Feo, Eloisa De Guia, José-Ricardo De la Torre Navarrete, Chato De Los Santos, Esteban De Manuel Keenoy, Govert De Vries, Diana, Deleanu, Pascal, Demoly, Judah, Denburg, Philippe, Devillier, Alain, Didier, Sanja Dimic Janjic, Maria, Dimou, Anh Tuan Dinh-Xuan, Ratko, Djukanovic, Maria Do Ceu Texeira, Dejan, Dokic, Margarita Gabriela Domínguez Silva, Habib, Douagui, Nikolaos, Douladiris, Maria, Doulaptsi, Gérard, Dray, Ruta, Dubakiene, Eve, Dupas, Stephen, Durham, Marzia, Duse, Mark, Dykewicz, Didier, Ebo, Natalija, Edelbaher, Thomas, Eiwegger, Patrik, Eklund, Yehia, El-Gamal, Zeinab, A El-Sayed, Shereen, S El-Sayed, Magda, El-Seify, Regina, Emuzyte, Lourdes, Enecilla, Marina, Erhola, Heidilita, Espinoza, Jesús Guillermo Espinoza Contreras, John, Farrell, Lenora, Fernandez, Paola Fimbres Jimenez, Antje Fink Wagner, Alessandro, Fiocchi, Wytske, J Fokkens, Lenia, Folletti, Joao, A Fonseca, Jean-François, Fontaine, Francesco, Forastiere, Jose Miguel Fuentes Pèrez, Emily, Gaerlan-Resureccion, Mina, Gaga, José Luis Gálvez Romero, Amiran, Gamkrelidze, Alexis, Garcia, Cecilia Yvonne García Cobas, María de la Luz Hortensia García Cruz, Valeria Garcia Ortiz, Jacques, Gayraud, Matteo, Gelardi, Bilun, Gemicioglu, Dimitra, Gennimata, Sonya, Genova, José, Gereda, Roy Gerth van Wijk, Antonio, Giuliano, René-Maximiliano, Gomez, Miguel-Ange Gonzalez Ballester, Sandra González Diaz, Maia, Gotua, Christos, Grigoreas, Ineta, Grisle, Marta, Guidacci, Nick, Guldemond, Zdenek, Gutter, Antonieta, Guzmán, Tari, Haahtela, Ramsa, Halloum, David, Halpin, Eckard, Hamelmann, Suleiman, Hammadi, Richard, Harvey, Enrico, Heffler, Joachim, Heinrich, Adnan, Hejjaoui, Birthe, Hellquist-Dahl, Luiana Hernández Velázquez, Mark, Hew, Elham, Hossny, Peter, Howarth, Martin, Hrubiško, Yunuen Rocío Huerta Villalobos, Marc, Humbert, Salina, Husain, Michael, Hyland, Guido, Iaccarino, Moustafa, Ibrahim, Nataliya, Ilina, Maddalena, Illario, Cristoforo, Incorvaia, Antonio, Infantino, Carla, Irani, Zhanat, Ispayeva, Juan Carlos Ivancevich, Edgardo Ej Jares, Deborah, Jarvis, Ewa, Jassem, Klemen, Jenko, Rubén Darío Jiméneracruz Uscanga, Sebastian, L Johnston, Guy, Joos, Maja, Jošt, Kaja, Julge, Ki-Suck, Jung, Jocelyne, Just, Marek, Jutel, Igor, Kaidashev, Omer, Kalayci, Fuat, Kalyoncu, Jeni, Kapsali, Przemyslaw, Kardas, Jussi, Karjalainen, Carmela, A Kasala, Michael, Katotomichelakis, Loreta, Kavaliukaite, Kazi, S Bennoor, Thomas, Keil, Paul, Keith, Musa, Khaitov, Nikolai, Khaltaev, You-Young, Kim, Bruce, Kirenga, Jorg, Kleine-Tebbe, Ludger, Klimek, Fanny, W Ko, Bernard Koffi N'Goran, Evangelia, Kompoti, Peter, Kopač, Gerard, Koppelman, Anja Koren Jeverica, Seppo, Koskinen, Mitja, Košnik, Tomasz, Kostka, Kosta, V Kostov, Marek, L Kowalski, Tanya, Kralimarkova, Karmen Kramer Vrščaj, Helga, Kraxner, Samo, Kreft, Vicky, Kritikos, Dmitry, Kudlay, Mikael, Kuitunen, Inger, Kull, Piotr, Kuna, Maciej, Kupczyk, Violeta, Kvedariene, Marialena, Kyriakakou, Nika, Lalek, Massimo, Landi, Stephen, Lane, Désiree, E Larenas-Linnemann, Susanne, Lau, Daniel, Laune, Jorge, Lavrut, Lan, Le, Martina, Lenzenhuber, Gualtiero, Leo, Marcus, Lessa, Michael, Levin, Jing, Li, Philip, Lieberman, Giuseppe, Liotta, Brian, Lipworth, Xuandao, Liu, Rommel, Lobo, Karin, C Lodrup Carlsen, Carlo, Lombardi, Renaud, Louis, Stelios, Loukidis, Olga, Lourenço, Jorge, A Luna Pech, Bojan, Madjar, Enrico, Maggi, Antoine, Magnan, Bassam, Mahboub, Alpana, Mair, Anke-Hilse Maitland van der Zee, Mika, Makela, Michael, Makris, Hans-Jorgen, Malling, Mariana, Mandajieva, Patrick, Manning, Manolis, Manousakis, Pavlos, Maragoudakis, Gianluigi, Marseglia, Gailen, Marshall, Mohammad Reza Masjedi, Jorge, F Máspero, Juan José Matta Campos, Marcus, Maurer, Sandra, Mavale-Manuel, Cem, Meço, Erik, Melén, Giovanni, Melioli, Elisabete, Melo-Gomes, Eli, O Meltzer, Enrica, Menditto, Andrew, Menzies-Gow, Hans, Merk, Jean-Pierre, Michel, Yann, Micheli, Neven, Miculinic, Luís, Midão, Florin, Mihaltan, Nikolaos, Mikos, Manlio, Milanese, Branislava, Milenkovic, Dimitrios, Mitsias, Bassem, Moalla, Giuliana, Moda, María Dolores Mogica Martínez, Yousser, Mohammad, Frances-Montserrat, Moharra, Mostafa, Moin, Mathieu, Molimard, Isabelle, Momas, Monique, Mommers, Alessandro, Monaco, Stephen, Montefort, Lucia-Elvira, Montenegro, Riccardo, Monti, Dory, Mora, Mario, Morais-Almeida, Ralph, Mösges, Badr Eldin Mostafa, Joaquim, Mullol, Lars, Münter, Antonella, Muraro, Ruth, Murray, Antonio, Musarra, Tihomir, Mustakov, Robert, Naclerio, Kari, C Nadeau, Rachel, Nadif, Alla, Nakonechna, Leyla, Namazova-Baranova, Gretchen, Navarro-Locsin, Hugo, Neffen, Kristof, Nekam, Angelos, Neou, Eustachio, Nettis, Daniel, Neuberger, Laurent, Nicod, Stefania, Nicola, Verena, Niederberger-Leppin, Marek, Niedoszytko, Antonio, Nieto, Ettore, Novellino, Elizabete, Nunes, Dieudonné, Nyembue, Robyn, E O'Hehir, Cvetanka, Odjakova, Ken, Ohta, Yoshitaka, Okamoto, Kimi, Okubo, Brian, Oliver, Gabrielle, L Onorato, Maria Pia Orru, Solange, Ouédraogo, Kampadilemba, Ouoba, Francisco-Javier, Padilla, Pier Luigi Paggiaro, Aris, Pagkalos, Pajno, Giovanni Battista, Gianni, Pala, P Palaniappan, S, Isabella, Pali-Schöll, Susanna, Palkonen, Stephen, Palmer, Carmen Panaitescu Bunu, Petr, Panzner, Nikos, G Papadopoulos, Vasilis, Papanikolaou, Alberto, Papi, Bojidar, Paralchev, Giannis, Paraskevopoulos, Hae-Sim, Park, Giovanni, Passalacqua, Vincenzo, Patella, Ian, Pavord, Ruby, Pawankar, Soren, Pedersen, Susete, Peleve, Simona, Pellegino, Ana, Pereira, Mariana, Pereira, Tamara, Pérez, Andrea, Perna, Diego, Peroni, Oliver, Pfaar, Nhân, Pham-Thi, Bernard, Pigearias, Isabelle, Pin, Konstantina, Piskou, Constantinos, Pitsios, Davor, Plavec, Dagmar, Poethig, Wolfgang, Pohl, Antonija Poplas Susic, Todor, A Popov, Fabienne, Portejoie, Paul, Potter, Lars, Poulsen, Alexandra, Prados-Torres, Fotis, Prarros, David, Price, Emmanuel, Prokopakis, Francesca, Puggioni, Elisa, Puig-Domenech, Robert, Puy, Klaus, Rabe, Silvia, Rabotti, Filip, Raciborski, Josephine, Ramos, Cristina, Recalcati, Marysia, T Recto, Shereen, M Reda, Frederico, S Regateiro, Norbert, Reider, Sietze, Reitsma, Susana, Repka-Ramirez, Erminia, Ridolo, Janet, Rimmer, Daniela Rivero Yeverino, José Angelo Rizzo, Carlos, Robalo-Cordeiro, Graham, Roberts, Karen, Robles, Nicolas, Roche, Mónica Rodríguez González, Eréndira Rodríguez Zagal, Giovanni, Rolla, Christine, Rolland, Regina, Roller-Wirnsberger, Miguel Roman Rodriguez, Antonino, Romano, Jan, Romantowski, Philippe, Rombaux, Joel, Romualdez, Jose, Rosado-Pinto, Nelson, Rosario, Lanny, Rosenwasser, Oliviero, Rossi, Menachem, Rottem, Philip, W Rouadi, Nikoleta, Rovina, Irma Rozman Sinur, Mauricio, Ruiz, Lucy Tania Ruiz Segura, Dermot, Ryan, Hironori, Sagara, Daiki, Sakai, Daiju, Sakurai, Wafaa, Saleh, Johanna, Salimaki, Konstantinos, Samitas, Boleslaw, Samolinski, María Guadalupe Sánchez Coronel, Mario, Sanchez-Borges, Jaime, Sanchez-Lopez, Melissa, Sansonna, Codrut, Sarafoleanu, Faradiba Sarquis Serpa, Joaquin, Sastre, Eleonora, Savi, Agne, Savonyte, Bisher, Sawaf, Glenis, K Scadding, Sophie, Scheire, Peter, Schmid-Grendelmeier, Juan Francisco Schuhl, Holger, Schunemann, Maria, Schvalbová, Jorgen, Schwarze, Nicola, Scichilone, Gianenrico, Senna, Cecilia, Sepúlveda, Elie, Serrano, Sara, Shamai, Aziz, Sheikh, Mike, Shields, Vasil, Shishkov, Nikos, Siafakas, Alexander, Simeonov, Estelle Fer Simons, Juan Carlos Sisul, Brigita, Sitkauskiene, Ingelbjorg, Skrindo, Tanja Soklič Košak, Dirceu, Solé, Martin, Sondermann, Talant, Sooronbaev, Manuel, Soto-Martinez, Manuel, Soto-Quiros, Barnaro Sousa Pinto, Milan, Sova, Michael, Soyka, Krzysztof, Specjalski, Annette, Sperl, Otto, Spranger, Sofia, Stamataki, Lina, Stefanaki, Cristiana, Stellato, Rafael, Stelmach, Timo, Strandberg, Petra, Stute, Abirami, Subramaniam, Charlotte Suppli Ulrik, Michael, Sutherland, Silvia, Sylvestre, Aikaterini, Syrigou, Luis Taborda Barata, Nadejda, Takovska, Rachel, Tan, Frances, Tan, Vincent, Tan, Ing Ping Tang, Masami, Taniguchi, Line, Tannert, Pongsakorn, Tantilipikorn, Jessica, Tattersall, Filippo, Tesi, Uta, Thieme, Carel, Thijs, Mike, Thomas, Teresa, To, Ana Maria Todo-Bom, Alkis, Togias, Peter-Valentin, Tomazic, Vesna, Tomic-Spiric, Sanna, Toppila-Salmi, Maria-José Torres Jaen, Elina, Toskala, Massimo, Triggiani, Nadja, Triller, Katja, Triller, Ioanna, Tsiligianni, Uberti, M, Ruxandra, Ulmeanu, Jure, Urbancic, Marilyn Urrutia Pereira, Martina, Vachova, Felipe, Valdés, Rudolf, Valenta, Marylin Valentin Rostan, Antonio, Valero, Arunas, Valiulis, Mina, Vallianatou, Erkka, Valovirta, Michiel Van Eerd, Eric Van Ganse, Marianne van Hage, Olivier, Vandenplas, Tuula, Vasankari, Dafina, Vassileva, Cesar Velasco Munoz, Maria Teresa Ventura, Cécilia, Vera-Munoz, Frédéric, Viart, Dilyana, Vicheva, Pakit, Vichyanond, Petra, Vidgren, Giovanni, Viegi, Claus, Vogelmeier, Leena Von Hertzen, Theodoros, Vontetsianos, Dimitris, Vourdas, Vu Tran Thien Quan, Martin, Wagenmann, Samantha, Walker, Dana, Wallace, Yun De Wang, Susan, Waserman, Katrin, Wehner, Magnus, Wickman, Sian, Williams, Dennis, Williams, Nicola, Wilson, Gary, Wong, Kent, Woo, Lucyna, Wozniak, John, Wright, Piotr, Wroczynski, Paraskevi, Xepapadaki, Plamen, Yakovliev, Masao, Yamaguchi, Kwok, Yan, Yoke Yeow Yap, Mais, Yassin, Barbara, Yawn, Panayiotis, Yiallouros, Arzu, Yorgancioglu, Shigemi, Yoshihara, Ian, Young, Osman, B Yusuf, Asghar, Zaidi, Fares, Zaitoun, Petra, Zalud, Heather, Zar, T Zedda, M, Mario, E Zernotti, Luo, Zhang, Nanshan, Zhong, Mihaela, Zidarn, Torsten, Zuberbier, Celia, Zubrinich, Charité - UniversitätsMedizin = Charité - University Hospital [Berlin], Humboldt University Of Berlin, Berlin Institute of Health (BIH), Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier), Contre les MAladies Chroniques pour un VIeillissement Actif en Languedoc-Roussillon (MACVIA-LR), Université Montpellier 1 (UM1)-Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre Hospitalier Universitaire de Nîmes (CHU Nîmes)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-European Innovation Partnership on Active and Healthy Ageing Reference Site (EIP on AHA), Commission Européenne-Commission Européenne-Organisation Mondiale de la Santé / World Health Organization Office (OMS / WHO), Physiologie & médecine expérimentale du Cœur et des Muscles [U 1046] (PhyMedExp), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), IMIM-Hospital del Mar, Generalitat de Catalunya, Universitat Pompeu Fabra [Barcelona] (UPF), CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Global - Institute For Global Health [Barcelona] (ISGlobal), Center for Research in Environmental Epidemiology (CREAL), Universitat Pompeu Fabra [Barcelona] (UPF)-Catalunya ministerio de salud, Barts & The London School of Medicine and Dentistry, Queen Mary University of London (QMUL), Helsingin yliopisto = Helsingfors universitet = University of Helsinki, Helsinki University Central Hospital [Finland] (HUCH), Departamento de Geociencias, Ambiente e Ordenamento do Territorio (DGAOT), Universidade do Porto = University of Porto, University of Naples Federico II = Università degli studi di Napoli Federico II, Euromov (EuroMov), Université de Montpellier (UM), IRCCS Ospedale Pediatrico Bambino Gesù [Roma], Istituto Clinico Humanitas [Milan] (IRCCS Milan), Humanitas University [Milan] (Hunimed), Center of Research in Health Technologies and Information Systems (CINTESIS), AgroParisTech, World Institute of Kimchi [Gwangju], Département Maladies Infectieuses et Tropicales, Hôpital Universitaire, Montpellier, France, Recherches Translationnelles sur le VIH et les maladies infectieuses endémiques et émergentes (TransVIHMI), Institut de Recherche pour le Développement (IRD)-Université de Yaoundé I-Université Cheikh Anta Diop [Dakar, Sénégal] (UCAD)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Montpellier (UM), University of Edinburgh, Universität Zürich [Zürich] = University of Zurich (UZH), Humboldt-Universität zu Berlin, Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier)-Université Montpellier 1 (UM1)-Centre Hospitalier Universitaire de Nîmes (CHU Nîmes)-European Innovation Partnership on Active and Healthy Ageing Reference Site (EIP on AHA), Commission Européenne-Commission Européenne-Organisation Mondiale de la Santé / World Health Organization Office (OMS / WHO)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Montpellier (UM), Université de Montpellier (UM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), University of Helsinki, Universidade do Porto, University of Naples Federico II, Recherches Translationnelles sur le VIH et les maladies infectieuses endémiques er émergentes (TransVIHMI), Université Cheikh Anta Diop [Dakar, Sénégal] (UCAD)-Institut de Recherche pour le Développement (IRD)-Université de Yaoundé I-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Montpellier (UM)-Université Montpellier 1 (UM1), MORNET, Dominique, UCL - SSS/IREC/PNEU - Pôle de Pneumologie, ORL et Dermatologie, UCL - (MGD) Service de pneumologie, Bousquet J., Cristol J.-P., Czarlewski W., Anto J.M., Martineau A., Haahtela T., Fonseca S.C., Iaccarino G., Blain H., Fiocchi A., Canonica G.W., Fonseca J.A., Vidal A., Choi H.-J., Kim H.J., Le Moing V., Reynes J., Sheikh A., Akdis C.A., Zuberbier T., Abdul Latiff A.H., Abdullah B., Aberer W., Abusada N., Adcock I., Afani A., Agache I., Aggelidis X., Agustin J., Akdis M., Al-Ahmad M., Al-Zahab Bassam A., Alburdan H., Aldrey-Palacios O., Alvarez Cuesta E., Alwan Salman H., Alzaabi A., Amade S., Ambrocio G., Angles R., Annesi-Maesano I., Ansotegui I.J., Ara Bardajo P., Arasi S., Arrais M., Arshad H., Artesani M.-C., Asayag E., Avolio F., Azhari K., Bachert C., Bagnasco D., Baiardini I., Bajrovic N., Bakakos P., Bakeyala Mongono S., Balotro-Torres C., Barba S., Barbara C., Barbosa E., Barreto B., Bartra J., Basagana X., Bateman E.D., Battur L., Bedbrook A., Bedolla Barajas M., Beghe B., Bekere A., Bel E., Ben Kheder A., Benson M., Berghea E.-C., Bergmann K.-C., Bernardini R., Bernstein D., Bewick M., Bialek S., Bialoszewski A., Bieber T., Billo N.E., Bilo M.-B., Bindslev-Jensen C., Bjermer L., Bobolea I., Bochenska Marciniak M., Bond C., Boner A., Bonini M., Bonini S., Bosnic-Anticevich S., Bosse I., Botskariova S., Bouchard J., Boulet L.-P., Bourret R., Bousquet P., Braido F., Briggs A., Brightling C.E., Brozek J., Brussino L., Buhl R., Bumbacea R., Buquicchio R., Burguete Cabanas M.-T., Bush A., Busse W.W., Buters J., Caballero-Fonseca F., Calderon M.A., Calvo M., Camargos P., Camuzat T., Canevari F., Cano A., Canonican G.W., Capriles-Hulett A., Caraballo L., Cardona V., Carlsen K.-H., Carmona Pirez J., Caro J., Carr W., Carreiro-Martins P., Carreon-Asuncion F., Carriazo A.-M., CarrionyRibas C., Casale T., Castor M.-A., Castro E., Caviglia A.G., Cecchi L., Cepeda Sarabia A., Chalubinski M., Chandrasekharan R., Chang Y.-S., Chato-Andeza V., Chatzi L., Chatzidaki C., Chavannes N.H., Chaves Loureiro C., Chavez Garcia A.-A., Chelninska M., Chen Y., Cheng L., Chinthrajah S., Chivato T., Chkhartishvili E., Christoff G., Chrystyn H., Chu D.K., Chua A., Chuchalin A., Chung K.F., Ciceran A., Cingi C., Ciprandi G., Cirule I., Coelho A.-C., Compalati E., Constantinidis J., Correia de Sousa J., Costa E.M., Costa D., del Carmen Costa Dominguez M., Coste A., Cottini M., Cox L., Crisci C., Crivellaro M.A., Cruz A.A., Cullen J., Custovic A., Cvetkovski B., D'Amato G., da Silva J., Dahl R., Dahlen S.-E., Daniilidis V., Darjazini Nahhas L., Darsow U., Davies J., de Blay F., De Feo G., De Guia E., De la Torre Navarrete J.-R., De los Santos C., De Manuel Keenoy E., De Vries G., Deleanu D., Demoly P., Denburg J., Devillier P., Didier A., Dimic Janjic S., Dimou M., Dinh-Xuan A.T., Djukanovic R., Do Ceu Texeira M., Dokic D., Dominguez Silva M.G., Douagui H., Douladiris N., Doulaptsi M., Dray G., Dubakiene R., Dupas E., Durham S., Duse M., Dykewicz M., Ebo D., Edelbaher N., Eiwegger T., Eklund P., El-Gamal Y., El-Sayed Z.A., El-Sayed S.S., El-Seify M., Emuzyte R., Enecilla L., Erhola M., Espinoza H., Espinoza Contreras J.G., Farrell J., Fernandez L., Fimbres Jimenez P., Fink Wagner A., Fokkens W.J., Folletti L., Fontaine J.-F., Forastiere F., Fuentes Perez J.M., Gaerlan-Resureccion E., Gaga M., Galvez Romero J.L., Gamkrelidze A., Garcia A., Garcia Cobas C.Y., de la Luz Hortensia Garcia Cruz M., Ortiz V.G., Gayraud J., Gelardi M., Gemicioglu B., Gennimata D., Genova S., Gereda J., Gerth van Wijk R., Giuliano A., Gomez R.-M., Gonzalez Ballester M.-A., Gonzalez Diaz S., Gotua M., Grigoreas C., Grisle I., Guidacci M., Guldemond N., Gutter Z., Guzman A., Halloum R., Halpin D., Hamelmann E., Hammadi S., Harvey R., Heffler E., Heinrich J., Hejjaoui A., Hellquist-Dahl B., Hernandez Velazquez L., Hew M., Hossny E., Howarth P., Hrubisko M., Huerta Villalobos Y.R., Humbert M., Husain S., Hyland M., Ibrahim M., Ilina N., Illario M., Incorvaia C., Infantino A., Irani C., Ispayeva Z., Ivancevich J.C., Jares E.E., Jarvis D., Jassem E., Jenko K., Jimeneracruz Uscanga R.D., Johnston S.L., Joos G., Jost M., Julge K., Jung K.-S., Just J., Jutel M., Kaidashev I., Kalayci O., Kalyoncu F., Kapsali J., Kardas P., Karjalainen J., Kasala C.A., Katotomichelakis M., Kavaliukaite L., Bennoor K.S., Keil T., Keith P., Khaitov M., Khaltaev N., Kim Y.-Y., Kirenga B., Kleine-Tebbe J., Klimek L., Ko F.W., Koffi N'Goran B., Kompoti E., Kopac P., Koppelman G., Koren Jeverica A., Koskinen S., Kosnik M., Kostka T., Kostov K.V., Kowalski M.L., Kralimarkova T., Kramer Vrscaj K., Kraxner H., Kreft S., Kritikos V., Kudlay D., Kuitunen M., Kull I., Kuna P., Kupczyk M., Kvedariene V., Kyriakakou M., Lalek N., Landi M., Lane S., Larenas-Linnemann D.E., Lau S., Laune D., Lavrut J., Le L., Lenzenhuber M., Leo G., Lessa M., Levin M., Li J., Lieberman P., Liotta G., Lipworth B., Liu X., Lobo R., Lodrup Carlsen K.C., Lombardi C., Louis R., Loukidis S., Lourenco O., Luna Pech J.A., Madjar B., Maggi E., Magnan A., Mahboub B., Mair A., Maitland van der Zee A.-H., Makela M., Makris M., Malling H.-J., Mandajieva M., Manning P., Manousakis M., Maragoudakis P., Marseglia G., Marshall G., Masjedi M.R., Maspero J.F., Matta Campos J.J., Maurer M., Mavale-Manuel S., Meco C., Melen E., Melioli G., Melo-Gomes E., Meltzer E.O., Menditto E., Menzies-Gow A., Merk H., Michel J.-P., Micheli Y., Miculinic N., Midao L., Mihaltan F., Mikos N., Milanese M., Milenkovic B., Mitsias D., Moalla B., Moda G., Mogica Martinez M.D., Mohammad Y., Moharra F.-M., Moin M., Molimard M., Momas I., Mommers M., Monaco A., Montefort S., Montenegro L.-E., Monti R., Mora D., Morais-Almeida M., Mosges R., Mostafa B.E., Mullol J., Munter L., Muraro A., Murray R., Musarra A., Mustakov T., Naclerio R., Nadeau K.C., Nadif R., Nakonechna A., Namazova-Baranova L., Navarro-Locsin G., Neffen H., Nekam K., Neou A., Nettis E., Neuberger D., Nicod L., Nicola S., Niederberger-Leppin V., Niedoszytko M., Nieto A., Novellino E., Nunes E., Nyembue D., O'Hehir R.E., Odjakova C., Ohta K., Okamoto Y., Okubo K., Oliver B., Onorato G.L., Orru M.P., Ouedraogo S., Ouoba K., Padilla F.-J., Paggiaro P.L., Pagkalos A., Pajno G., Pala G., Palaniappan S., Pali-Scholl I., Palkonen S., Palmer S., Panaitescu Bunu C., Panzner P., Papadopoulos N.G., Papanikolaou V., Papi A., Paralchev B., Paraskevopoulos G., Park H.-S., Passalacqua G., Patella V., Pavord I., Pawankar R., Pedersen S., Peleve S., Pellegino S., Pereira A., Pereira M., Perez T., Perna A., Peroni D., Pfaar O., Pham-Thi N., Pigearias B., Pin I., Piskou K., Pitsios C., Plavec D., Poethig D., Pohl W., Poplas Susic A., Popov T.A., Portejoie F., Potter P., Poulsen L., Prados-Torres A., Prarros F., Price D., Prokopakis E., Puggioni F., Puig-Domenech E., Puy R., Rabe K., Rabotti S., Raciborski F., Ramos J., Recalcati C., Recto M.T., Reda S.M., Regateiro F.S., Reider N., Reitsma S., Repka-Ramirez S., Ridolo E., Rimmer J., Rivero Yeverino D., Rizzo J.A., Robalo-Cordeiro C., Roberts G., Robles K., Roche N., Rodriguez Gonzalez M., Rodriguez Zagal E., Rolla G., Rolland C., Roller-Wirnsberger R., Roman Rodriguez M., Romano A., Romantowski J., Rombaux P., Romualdez J., Rosado-Pinto J., Rosario N., Rosenwasser L., Rossi O., Rottem M., Rouadi P.W., Rovina N., Rozman Sinur I., Ruiz M., Ruiz Segura L.T., Ryan D., Sagara H., Sakai D., Sakurai D., Saleh W., Salimaki J., Samitas K., Samolinski B., Sanchez Coronel M.G., Sanchez-Borges M., Sanchez-Lopez J., Sansonna M., Sarafoleanu C., Sarquis Serpa F., Sastre J., Savi E., Savonyte A., Sawaf B., Scadding G.K., Scheire S., Schmid-Grendelmeier P., Schuhl J.F., Schunemann H., Schvalbova M., Schwarze J., Scichilone N., Senna G., Sepulveda C., Serrano E., Shamai S., Shields M., Shishkov V., Siafakas N., Simeonov A., Simons E.F., Sisul J.C., Sitkauskiene B., Skrindo I., Soklic Kosak T., Sole D., Sondermann M., Sooronbaev T., Soto-Martinez M., Soto-Quiros M., Pinto B.S., Sova M., Soyka M., Specjalski K., Sperl A., Spranger O., Stamataki S., Stefanaki L., Stellato C., Stelmach R., Strandberg T., Stute P., Subramaniam A., Suppli Ulrik C., Sutherland M., Sylvestre S., Syrigou A., Taborda Barata L., Takovska N., Tan R., Tan F., Tan V., Tang I.P., Taniguchi M., Tannert L., Tantilipikorn P., Tattersall J., Tesi F., Thieme U., Thijs C., Thomas M., To T., Todo-Bom A.M., Togias A., Tomazic P.-V., Tomic-Spiric V., Toppila-Salmi S., Torres Jaen M.-J., Toskala E., Triggiani M., Triller N., Triller K., Tsiligianni I., Uberti M., Ulmeanu R., Urbancic J., Urrutia Pereira M., Vachova M., Valdes F., Valenta R., Valentin Rostan M., Valero A., Valiulis A., Vallianatou M., Valovirta E., Van Eerd M., Van Ganse E., van Hage M., Vandenplas O., Vasankari T., Vassileva D., Velasco Munoz C., Ventura M.T., Vera-Munoz C., Viart F., Vicheva D., Vichyanond P., Vidgren P., Viegi G., Vogelmeier C., Von Hertzen L., Vontetsianos T., Vourdas D., Tran Thien Quan V., Wagenmann M., Walker S., Wallace D., De Wang Y., Waserman S., Wehner K., Wickman M., Williams S., Williams D., Wilson N., Wong G., Woo K., Wozniak L., Wright J., Wroczynski P., Xepapadaki P., Yakovliev P., Yamaguchi M., Yan K., Yap Y.Y., Yassin M., Yawn B., Yiallouros P., Yorgancioglu A., Yoshihara S., Young I., Yusuf O.B., Zaidi A., Zaitoun F., Zalud P., Zar H., Zedda M.T., Zernotti M.E., Zhang L., Zhong N., and Zidarn M.

Subjects
MAPK/ERK pathway, ARIA group, Allergy, [SDV]Life Sciences [q-bio], NF-KAPPA-B, debelost, Review, Pharmacology, Resveratrol, PROTECTS, chemistry.chemical_compound, 0302 clinical medicine, RESPIRATORY SYNDROME CORONAVIRUS, ENDOPLASMIC-RETICULUM STRESS, Medicine and Health Sciences, Immunology and Allergy, Medicine, OXIDATIVE STRESS, COVID-19, Foods, Insulin resistance, Nrf2, Nutrients, Obesity, TRPA1, 2. Zero hunger, 0303 health sciences, RESPIRATORY, INSULIN-RESISTANCE, Muscle cell proliferation, SULFORAPHANE, 3. Good health, [SDV] Life Sciences [q-bio], 030220 oncology & carcinogenesis, SIGNALING PATHWAY, Signal transduction, Life Sciences & Biomedicine, Pulmonary and Respiratory Medicine, NRF2 ACTIVATORS, MUSCLE-CELL PROLIFERATION, Immunology, 610 Medicine & health, Lung injury, Settore MED/10 - Malattie Dell'Apparato Respiratorio, ACUTE LUNG INJURY, 03 medical and health sciences, COVID-19, Foods, Insulin resistance, Nrf2, Nutrients, Obesity, TRPA1, udc:616.9, odpornost proti inzulinu, SULFORAPHANE PROTECTS, Transcription factor, PI3K/AKT/mTOR pathway, 030304 developmental biology, Science & Technology, business.industry, SARS-CoV-2, food, medicine.disease, chemistry, hranila, SYNDROME CORONAVIRUS, business, hrana, GREEN TEA
Abstract

There are large between- and within-country variations in COVID-19 death rates. Some very low death rate settings such as Eastern Asia, Central Europe, the Balkans and Africa have a common feature of eating large quantities of fermented foods whose intake is associated with the activation of the Nrf2 (Nuclear factor (erythroid-derived 2)-like 2) anti-oxidant transcription factor. There are many Nrf2-interacting nutrients (berberine, curcumin, epigallocatechin gallate, genistein, quercetin, resveratrol, sulforaphane) that all act similarly to reduce insulin resistance, endothelial damage, lung injury and cytokine storm. They also act on the same mechanisms (mTOR: Mammalian target of rapamycin, PPARγ:Peroxisome proliferator-activated receptor, NFκB: Nuclear factor kappa B, ERK: Extracellular signal-regulated kinases and eIF2α:Elongation initiation factor 2α). They may as a result be important in mitigating the severity of COVID-19, acting through the endoplasmic reticulum stress or ACE-Angiotensin-II-AT1R axis (AT1R) pathway. Many Nrf2-interacting nutrients are also interacting with TRPA1 and/or TRPV1. Interestingly, geographical areas with very low COVID-19 mortality are those with the lowest prevalence of obesity (Sub-Saharan Africa and Asia). It is tempting to propose that Nrf2-interacting foods and nutrients can re-balance insulin resistance and have a significant effect on COVID-19 severity. It is therefore possible that the intake of these foods may restore an optimal natural balance for the Nrf2 pathway and may be of interest in the mitigation of COVID-19 severity.

Published
2020

20. Gestational Weight Gain by Maternal Pre-pregnancy BMI and Childhood Problem Behaviours in School-Age Years: A Pooled Analysis of Two European Birth Cohorts

Author

Theano Roumeliotaki, Nikos Stratakis, Marina Vafeiadi, Roger W. L. Godschalk, Renate H. M. de Groot, Evangelia Antoniou, Luc J.M. Smits, Marij Gielen, Marc E. A. Spaanderman, Maurice P. Zeegers, Vaia Lida Chatzi, Elena C Tore, Taunton R. Southwood, Department of Conditions for Lifelong Learning, RS-Theme Biopsychology of Learning, Complexe Genetica, RS: CAPHRI - R5 - Optimising Patient Care, RS: NUTRIM - R3 - Respiratory & Age-related Health, Farmacologie en Toxicologie, Epidemiologie, Obstetrie & Gynaecologie, MUMC+: MA Medische Staf Obstetrie Gynaecologie (9), and RS: GROW - R4 - Reproductive and Perinatal Medicine

Subjects
Adult, Male, SYMPTOMS, Epidemiology, DISORDERS, Vascular damage Radboud Institute for Health Sciences [Radboudumc 16], Mothers, CBCL, Gestational weight gain, Overweight, Affect (psychology), Weight Gain, Article, Body Mass Index, Cohort Studies, 03 medical and health sciences, 0302 clinical medicine, medicine, Humans, 030212 general & internal medicine, Prospective Studies, Child, Problem Behavior, Pregnancy, 030219 obstetrics & reproductive medicine, Greece, business.industry, Internalizing, Public Health, Environmental and Occupational Health, Obstetrics and Gynecology, medicine.disease, Obesity, ADIPOSITY PRIOR, Externalizing, Pregnancy Complications, PREGNANCY, Pre-pregnancy BMI, Prenatal Exposure Delayed Effects, OBESITY, Pediatrics, Perinatology and Child Health, Cohort, Gestation, Female, medicine.symptom, business, Problem behaviours, Weight gain, Demography
Abstract

Objectives Maternal pre-pregnancy weight is known to affect foetal development. However, it has not yet been clarified if gestational weight gain is associated with childhood behavioural development. Methods We performed a pooled analysis of two prospective birth cohorts to investigate the association between gestational weight gain and childhood problem behaviours, and the effect modification of maternal pre-pregnancy BMI. In total, 378 mother–child pairs from the Maastricht Essential Fatty Acids Birth cohort (MEFAB) and 414 pairs from the Rhea Mother–Child cohort were followed up from early pregnancy to 6–7 years post-partum. At follow up, parents assessed their children’s behaviour, measured as total problems, internalizing and externalizing behaviours, with the Child Behaviour Checklist. We computed cohort- and subject-specific gestational weight gain trajectories using mixed-effect linear regression models. Fractional polynomial regressions, stratified by maternal pre-pregnancy BMI status, were then used to examine the association between gestational weight gain and childhood problem behaviours. Results In the pre-pregnancy overweight/obese group, greater gestational weight gain was associated with higher problem behaviours. On average, children of women with overweight/obesity who gained 0.5 kg/week scored 25 points higher (on a 0–100 scale) in total problems and internalizing behaviours, and about 18 points higher in externalizing behaviours than children whose mothers gained 0.2 kg/week. Inconsistent results were found in the pre-pregnancy normal weight group. Conclusions for Practice Excessive gestational weight gain in women with pre-pregnancy overweight/obesity might increase problem behaviours in school-age children. Particular attention should be granted to avoid excessive weight gain in women with a pre-pregnancy overweight or obesity.

Published
2020

21. The Dynamic Relationship Between Asthma and Obesity in Schoolchildren

Author

Kiros Berhane, Frank D. Gilliland, Carrie V. Breton, Vaia Lida Chatzi, Robert Urman, Zhanghua Chen, and Yue Zhang

Subjects
Male, Pediatrics, medicine.medical_specialty, Pediatric Obesity, Epidemiology, Odds, Body Mass Index, 03 medical and health sciences, 0302 clinical medicine, medicine, Credible interval, Prevalence, Humans, 030212 general & internal medicine, Child, Asthma, Childhood asthma, School age child, business.industry, Odds ratio, Original Contribution, medicine.disease, Obesity, respiratory tract diseases, 030228 respiratory system, Socioeconomic Factors, Female, business
Abstract

Asthma and obesity are among the most prevalent chronic health conditions in children. Although there has been compelling evidence of co-occurrence of asthma and obesity, it is uncertain whether asthma contributes to the development of obesity or obesity contributes to the onset of asthma or both. In this study, we used a joint transition modeling approach with cross-lagged structure to understand how asthma and obesity influence each other dynamically over time. Subjects for this study included 5,193 kindergarten and first-grade students enrolled from 13 communities in 2002–2003 in the Southern California Children’s Health Study, with up to 10 years of follow-up. We found that nonobese children with diagnosed asthma at a study visit were at 37% higher odds of becoming obese by the next annual visit compared with children without asthma (odds ratio = 1.38; 95% credible interval: 1.12, 1.71). However, the presence of obesity at the current visit was not statistically significantly associated with asthma onset in the next visit (odds ratio = 1.25; 95% credible interval: 0.94, 1.62). In conclusion, childhood asthma appears to drive an increase in the onset of obesity among schoolchildren, while the onset of obesity does not necessarily imply the future onset of asthma, at least in the short term.

Published
2018

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