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Romano ME, Gallagher LG, Price G, Crawford KA, Criswell R, Baker E, Botelho JC, Calafat AM, Karagas MR. Plasma per- and polyfluoroalkyl substance mixtures during pregnancy and duration of breastfeeding in the New Hampshire birth cohort study. Int J Hyg Environ Health 2024; 258:114359. [PMID: 38521049 DOI: 10.1016/j.ijheh.2024.114359] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2023] [Revised: 02/19/2024] [Accepted: 03/17/2024] [Indexed: 03/25/2024]
Abstract
BACKGROUND Prior studies suggest that prenatal per- and polyfluoroalkyl substances (PFAS) exposures are associated with shorter breastfeeding duration. Studies assessing PFAS mixtures and populations in North America are sparse. METHODS We quantified PFAS concentrations in maternal plasma collected during pregnancy in the New Hampshire Birth Cohort Study (2010-2017). Participants completed standardized breastfeeding surveys at regular intervals until weaning (n = 813). We estimated associations between mixtures of 5 PFAS and risk of stopping exclusive breastfeeding before 6 months or any breastfeeding before 12 months using probit Bayesian kernel machine regression. For individual PFAS, we calculated the relative risk and hazard ratio (HR) of stopping breastfeeding using modified Poisson regression and accelerated failure time models respectively. RESULTS PFAS mixtures were associated with stopping exclusive breastfeeding before 6 months, primarily driven by perfluorooctanoate (PFOA). We observed statistically significant trends in the association of perfluorohexane sulfonate (PFHxS), PFOA, and perfluorononanoate (PFNA) (p-trends≤0.02) with stopping exclusive breastfeeding. Participants in the highest PFOA quartile had a 28% higher risk of stopping exclusive breastfeeding before 6 months compared to those in the lowest quartile (95% Confidence Interval: 1.04, 1.56). Similar trends were observed for PFHxS and PFNA with exclusive breastfeeding (p-trends≤0.05). PFAS were not associated with stopping any breastfeeding before 12 months. CONCLUSIONS In this cohort, we observed that participants with greater overall plasma PFAS concentrations had greater risk of stopping exclusive breastfeeding before 6 months and associations were driven largely by PFOA. These findings further support the growing literature indicating that PFAS may be associated with shorter duration of breastfeeding.
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Affiliation(s)
- Megan E Romano
- Department of Epidemiology, Dartmouth Geisel School of Medicine, Lebanon, NH, USA.
| | - Lisa G Gallagher
- Department of Epidemiology, Dartmouth Geisel School of Medicine, Lebanon, NH, USA
| | - George Price
- Department of Epidemiology, Dartmouth Geisel School of Medicine, Lebanon, NH, USA
| | | | - Rachel Criswell
- Skowhegan Family Medicine, Redington-Fairview General Hospital, Skowhegan, ME, USA
| | - Emily Baker
- Department of Obstetrics and Gynecology, Geisel School of Medicine, Dartmouth College, Hanover, NH, USA
| | - Julianne Cook Botelho
- National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Antonia M Calafat
- National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Margaret R Karagas
- Department of Epidemiology, Dartmouth Geisel School of Medicine, Lebanon, NH, USA
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Wojcik KM, Holle AV, O’Brien KM, White AJ, Karagas MR, Levine KE, Jackson BP, Weinberg CR. Seasonal patterns in trace elements assessed in toenails. Environ Adv 2024; 15:100496. [PMID: 38405619 PMCID: PMC10883685 DOI: 10.1016/j.envadv.2024.100496] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/27/2024]
Abstract
BACKGROUND Seasonal patterns in measured exposure biomarkers can cause measurement error in epidemiological studies. There is little research about the seasonality of metals and trace elements when assessed in toenail samples. Adjusting for such patterns in models for estimating associations between long-term exposures and health outcomes can potentially improve precision and reduce bias. OBJECTIVES Assess and describe seasonal patterns in toenail measurements of trace elements. METHODS The Sister Study enrolled women residing in the US, including Puerto Rico, whose sister had been diagnosed with breast cancer. At the time of enrollment, participants removed nail polish and collected their toenail clippings, which were cleaned before analysis. We considered the following elements: iron, vanadium, aluminum, chromium, manganese, cobalt, nickel, copper, zinc, arsenic, selenium, molybdenum, cadmium, tin, antimony, mercury, and lead. For two subsamples of the cohort, we fit trigonometric regression models with toenail element measures as the outcome, using sine and cosine functions of the collection day (transformed to an angle) to capture seasonal patterns. These models can estimate the amplitude and timing of the peaks in measures. We evaluated the evidence for a seasonal effect by comparing for each measured element the trigonometric model to a model that was constant across time. RESULTS There was a seasonal trend in toenail element concentration for iron, aluminum, vanadium, chromium, manganese, cobalt, arsenic, molybdenum, cadmium, tin, and lead, all of which peaked near mid-August. Seasonal patterns were concordant across two non-overlapping samples of women, analyzed in different labs. DISCUSSION Given the evidence supporting seasonal patterns for 11 of the 17 elements measured in toenails, correcting for seasonality of toenail levels of those trace elements in models estimating the association between those exposures and health outcomes is important. The basis for higher concentrations in toenails collected during the summer remains unknown.
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Affiliation(s)
- Kaitlyn M. Wojcik
- Brown School of Social Work and Public Health, Washington University in St. Louis, St. Louis, MO, United States
- Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC, United States
- Health Equity and Decision Sciences Laboratory, National Institute on Minority Health and Health Disparities, Bethesda, MD, United States
| | - Ann Von Holle
- Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC, United States
| | - Katie M. O’Brien
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC, United States
| | - Alexandra J. White
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC, United States
| | - Margaret R. Karagas
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, Dartmouth College, Hanover, NH, United States
| | - Keith E. Levine
- Research Triangle Institute International, Research Triangle Park, NC, United States
| | - Brian P. Jackson
- Department of Earth Sciences, Dartmouth College, Hanover, NH, United States
| | - Clarice R. Weinberg
- Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC, United States
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Laue HE, Lanphear BP, Calafat AM, Cecil KM, Chen A, Xu Y, Kalkwarf HJ, Madan JC, Karagas MR, Yolton K, Fleisch AF, Braun JM. Time-varying associations of gestational and childhood triclosan with pubertal and adrenarchal outcomes in early adolescence. Environ Epidemiol 2024; 8:e305. [PMID: 38617430 PMCID: PMC11008648 DOI: 10.1097/ee9.0000000000000305] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Accepted: 03/07/2024] [Indexed: 04/16/2024] Open
Abstract
Background Triclosan is an endocrine-disrupting chemical, but associations with pubertal outcomes remain unclear. We examined associations of gestational and childhood triclosan with adolescent hormone concentrations and pubertal stage. Methods We quantified urinary triclosan concentrations twice during pregnancy and seven times between birth and 12 years in participants recruited from Cincinnati, OH (2003-2006). We averaged concentrations across pregnancy and childhood and separately considered individual exposure periods in multiple informant models. At 12 years, we measured serum hormone concentrations (males [n = 72] and females [n = 84]-dehydroepiandrosterone-sulfate, luteinizing hormone, follicle-stimulating hormone; males-testosterone; females-estradiol). Also at age 12 years, participants self-reported physical development and menarchal timing. We estimated associations (95% confidence interval) of triclosan with hormone concentrations, more advanced physical development, and age at menarche. Results For females, each doubling of childhood triclosan was associated with 16% lower estradiol concentrations (-29%, 0%), with stronger associations for measures closer to adolescence. We found suggestive evidence that higher triclosan at any age was associated with ~10% (for gestational triclosan: -18%, -2%) lower follicle-stimulating hormone concentrations among males and early postnatal (1-3 years) triclosan was associated with 63% (5%, 96%) lower odds of advanced pubic hair development in females. In multiple informant models, each doubling of gestational triclosan concentrations was associated with 5% (0%, 9%) earlier age at menarche, equivalent to 5.5 months. Conclusion Gestational and childhood triclosan concentrations were related to some pubertal outcomes including hormone concentrations and age at menarche. Our findings highlight the relevance of elucidating potential sex-specific and time-dependent actions of triclosan.
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Affiliation(s)
- Hannah E. Laue
- Department of Epidemiology, Geisel School of Medicine at Dartmouth College, Hanover, New Hampshire
| | - Bruce P. Lanphear
- Faculty of Health Sciences, Simon Fraser University, Vancouver, British Columbia, Canada
| | - Antonia M. Calafat
- Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Kim M. Cecil
- Department of Radiology, Cincinnati Children’s Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, Ohio
- Department of Pediatrics, Cincinnati Children’s Hospital Medical Center, University of Cincinnati College of Medicine Cincinnati, Cincinnati, Ohio
| | - Aimin Chen
- Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania
| | - Yingying Xu
- Department of Pediatrics, Cincinnati Children’s Hospital Medical Center, University of Cincinnati College of Medicine Cincinnati, Cincinnati, Ohio
| | - Heidi J. Kalkwarf
- Department of Pediatrics, Cincinnati Children’s Hospital Medical Center, University of Cincinnati College of Medicine Cincinnati, Cincinnati, Ohio
| | - Juliette C. Madan
- Department of Epidemiology, Geisel School of Medicine at Dartmouth College, Hanover, New Hampshire
- Departments of Pediatrics and Psychiatry, Dartmouth Hitchcock Medical Center, Lebanon, New Hampshire
| | - Margaret R. Karagas
- Department of Epidemiology, Geisel School of Medicine at Dartmouth College, Hanover, New Hampshire
| | - Kimberly Yolton
- Department of Pediatrics, Cincinnati Children’s Hospital Medical Center, University of Cincinnati College of Medicine Cincinnati, Cincinnati, Ohio
| | - Abby F. Fleisch
- Center for Interdisciplinary and Population Health Research, Maine Institute for Research, Portland, Maine
- Pediatric Endocrinology and Diabetes, Maine Medical Center, Portland, Maine
| | - Joseph M. Braun
- Department of Epidemiology, Brown University, Providence, Rhode Island
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Shi X, Zhang F, Chipman JW, Li M, Khatchikian C, Karagas MR. Measuring Greenspace in Rural Areas for Studies of Birth Outcomes: A Comparison of Street View Data and Satellite Data. Geohealth 2024; 8:e2024GH001012. [PMID: 38560559 PMCID: PMC10975957 DOI: 10.1029/2024gh001012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/03/2024] [Revised: 03/08/2024] [Accepted: 03/12/2024] [Indexed: 04/04/2024]
Abstract
Using street view data, in replace of remotely sensed (RS) data, to study the health impact of greenspace has become popular. However, direct comparisons of these two methods of measuring greenspace are still limited, and their findings are inconsistent. On the other hand, almost all studies of greenspace focus on urban areas. The effectiveness of greenspace in rural areas remains to be investigated. In this study, we compared measures of greenspace based on the Google Street View data with those based on RS data by calculating the correlation between the two and evaluating their associations with birth outcomes. Besides the direct measures of greenness, we also compared the measures of environmental diversity, calculated with the two types of data. Our study area consists of the States of New Hampshire and Vermont, USA, which are largely rural. Our results show that the correlations between the two types of greenness measures were weak to moderate, and the greenness at an eye-level view largely reflects the immediate surroundings. Neither the street view data- nor the RS data-based measures identify the influence of greenspace on birth outcomes in our rural study area. Interestingly, the environmental diversity was largely negatively associated with birth outcomes, particularly gestational age. Our study revealed that in rural areas, the effectiveness of greenspace and environmental diversity may be considerably different from that in urban areas.
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Affiliation(s)
- Xun Shi
- Department of GeographyDartmouth CollegeHanoverNHUSA
| | - Fan Zhang
- School of Earth and Space SciencesInstitute of Remote Sensing and Geographical Information SystemPeking UniversityBeijingChina
| | | | - Meifang Li
- Department of GeographyDartmouth CollegeHanoverNHUSA
| | - Camilo Khatchikian
- Department of EpidemiologyGeisel School of Medicine at DartmouthLebanonNHUSA
| | - Margaret R. Karagas
- Department of EpidemiologyGeisel School of Medicine at DartmouthLebanonNHUSA
- Children’s Environmental Health and Disease Prevention Research Center at DartmouthHanoverNHUSA
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Oh J, Buckley JP, Li X, Gachigi KK, Kannan K, Lyu W, Ames JL, Barrett ES, Bastain TM, Breton CV, Buss C, Croen LA, Dunlop AL, Ferrara A, Ghassabian A, Herbstman JB, Hernandez-Castro I, Hertz-Picciotto I, Kahn LG, Karagas MR, Kuiper JR, McEvoy CT, Meeker JD, Morello-Frosch R, Padula AM, Romano ME, Sathyanarayana S, Schantz S, Schmidt RJ, Simhan H, Starling AP, Tylavsky FA, Volk HE, Woodruff TJ, Zhu Y, Bennett DH. Erratum: "Associations of Organophosphate Ester Flame Retardant Exposures during Pregnancy with Gestational Duration and Fetal Growth: The Environmental influences on Child Health Outcomes (ECHO) Program". Environ Health Perspect 2024; 132:49003. [PMID: 38598327 PMCID: PMC11005959 DOI: 10.1289/ehp14968] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/12/2024] [Accepted: 03/15/2024] [Indexed: 04/12/2024]
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Laue HE, Bauer JA, Pathmasiri W, Sumner SCJ, McRitchie S, Palys TJ, Hoen AG, Madan JC, Karagas MR. Patterns of infant fecal metabolite concentrations and social behavioral development in toddlers. Pediatr Res 2024:10.1038/s41390-024-03129-z. [PMID: 38509226 DOI: 10.1038/s41390-024-03129-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Revised: 01/17/2024] [Accepted: 03/01/2024] [Indexed: 03/22/2024]
Abstract
BACKGROUND Gut-derived metabolites, products of microbial and host co-metabolism, may inform mechanisms underlying children's neurodevelopment. We investigated whether infant fecal metabolites were related to toddler social behavior. METHODS Stool samples collected from 6-week-olds (n = 86) and 1-year-olds (n = 209) in the New Hampshire Birth Cohort Study (NHBCS) were analyzed using nuclear magnetic resonance spectroscopy metabolomics. Autism-related behavior in 3-year-olds was assessed by caregivers using the Social Responsiveness Scale (SRS-2). To assess the association between metabolites and SRS-2 scores, we used a traditional single-metabolite approach, quantitative metabolite set enrichment (QEA), and self-organizing maps (SOMs). RESULTS Using a single-metabolite approach and QEA, no individual fecal metabolite or metabolite set at either age was associated with SRS-2 scores. Using the SOM method, fecal metabolites of six-week-olds organized into four profiles, which were unrelated to SRS-2 scores. In 1-year-olds, one of twelve fecal metabolite profiles was associated with fewer autism-related behaviors, with SRS-2 scores 3.4 (95%CI: -7, 0.2) points lower than the referent group. This profile had higher concentrations of lactate and lower concentrations of short chain fatty acids than the reference. CONCLUSIONS We uncovered metabolic profiles in infant stool associated with subsequent social behavior, highlighting one potential mechanism by which gut bacteria may influence neurobehavior. IMPACT Differences in host and microbial metabolism may explain variability in neurobehavioral phenotypes, but prior studies do not have consistent results. We applied three statistical techniques to explore fecal metabolite differences related to social behavior, including self-organizing maps (SOMs), a novel machine learning algorithm. A 1-year-old fecal metabolite pattern characterized by high lactate and low short-chain fatty acid concentrations, identified using SOMs, was associated with social behavior less indicative of autism spectrum disorder. Our findings suggest that social behavior may be related to metabolite profiles and that future studies may uncover novel findings by applying the SOM algorithm.
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Affiliation(s)
- Hannah E Laue
- Department of Epidemiology, Geisel School of Medicine at Dartmouth College, Hanover, NH, USA.
| | - Julia A Bauer
- Department of Epidemiology, Geisel School of Medicine at Dartmouth College, Hanover, NH, USA
| | - Wimal Pathmasiri
- Nutrition Research Institute, University of North Carolina at Chapel Hill, Kannapolis, NC, USA
- Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Susan C J Sumner
- Nutrition Research Institute, University of North Carolina at Chapel Hill, Kannapolis, NC, USA
| | - Susan McRitchie
- Nutrition Research Institute, University of North Carolina at Chapel Hill, Kannapolis, NC, USA
| | - Thomas J Palys
- Department of Epidemiology, Geisel School of Medicine at Dartmouth College, Hanover, NH, USA
| | - Anne G Hoen
- Department of Epidemiology, Geisel School of Medicine at Dartmouth College, Hanover, NH, USA
| | - Juliette C Madan
- Department of Epidemiology, Geisel School of Medicine at Dartmouth College, Hanover, NH, USA
- Departments of Pediatrics and Psychiatry, Dartmouth Hitchcock Medical Center, Lebanon, NH, USA
| | - Margaret R Karagas
- Department of Epidemiology, Geisel School of Medicine at Dartmouth College, Hanover, NH, USA
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Aris IM, Lin PID, Wu AJ, Dabelea D, Lester BM, Wright RJ, Karagas MR, Kerver JM, Dunlop AL, Joseph CL, Camargo CA, Ganiban JM, Schmidt RJ, Strakovsky RS, McEvoy CT, Hipwell AE, O'Shea TM, McCormack LA, Maldonado LE, Niu Z, Ferrara A, Zhu Y, Chehab RF, Kinsey EW, Bush NR, Nguyen RHN, Carroll KN, Barrett ES, Lyall K, Sims-Taylor LM, Trasande L, Biagini JM, Breton CV, Patti MA, Coull B, Amutah-Onukagha N, Hacker MR, James-Todd T, Oken E. Birth outcomes in relation to neighborhood food access and individual food insecurity during pregnancy in the Environmental Influences on Child Health Outcomes (ECHO)-wide cohort study. Am J Clin Nutr 2024:S0002-9165(24)00168-0. [PMID: 38431121 DOI: 10.1016/j.ajcnut.2024.02.022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2023] [Revised: 02/21/2024] [Accepted: 02/26/2024] [Indexed: 03/05/2024] Open
Abstract
BACKGROUND Limited access to healthy foods, resulting from residence in neighborhoods with low-food access or from household food insecurity, is a public health concern. Contributions of these measures during pregnancy to birth outcomes remain understudied. OBJECTIVES We examined associations between neighborhood food access and individual food insecurity during pregnancy with birth outcomes. METHODS We used data from 53 cohorts participating in the nationwide Environmental Influences on Child Health Outcomes-Wide Cohort Study. Participant inclusion required a geocoded residential address or response to a food insecurity question during pregnancy and information on birth outcomes. Exposures include low-income-low-food-access (LILA, where the nearest supermarket is >0.5 miles for urban or >10 miles for rural areas) or low-income-low-vehicle-access (LILV, where few households have a vehicle and >0.5 miles from the nearest supermarket) neighborhoods and individual food insecurity. Mixed-effects models estimated associations with birth outcomes, adjusting for socioeconomic and pregnancy characteristics. RESULTS Among 22,206 pregnant participants (mean age 30.4 y) with neighborhood food access data, 24.1% resided in LILA neighborhoods and 13.6% in LILV neighborhoods. Of 1630 pregnant participants with individual-level food insecurity data (mean age 29.7 y), 8.0% experienced food insecurity. Residence in LILA (compared with non-LILA) neighborhoods was associated with lower birth weight [β -44.3 g; 95% confidence interval (CI): -62.9, -25.6], lower birth weight-for-gestational-age z-score (-0.09 SD units; -0.12, -0.05), higher odds of small-for-gestational-age [odds ratio (OR) 1.15; 95% CI: 1.00, 1.33], and lower odds of large-for-gestational-age (0.85; 95% CI: 0.77, 0.94). Similar findings were observed for residence in LILV neighborhoods. No associations of individual food insecurity with birth outcomes were observed. CONCLUSIONS Residence in LILA or LILV neighborhoods during pregnancy is associated with adverse birth outcomes. These findings highlight the need for future studies examining whether investing in neighborhood resources to improve food access during pregnancy would promote equitable birth outcomes.
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Affiliation(s)
- Izzuddin M Aris
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, United States.
| | - Pi-I D Lin
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, United States
| | - Allison J Wu
- Division of Gastroenterology, Hepatology and Nutrition, Boston Children's Hospital, Harvard Medical School, Boston, MA, United States
| | - Dana Dabelea
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, United States; Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, United States; Department of Pediatrics, Colorado Anschutz Medical Campus, Aurora, CO, United States
| | - Barry M Lester
- Department of Pediatrics, Warren Alpert Medical School of Brown University, Providence, RI, United States
| | - Rosalind J Wright
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Margaret R Karagas
- Department of Epidemiology, Dartmouth Geisel School of Medicine, Hanover, NH, United States
| | - Jean M Kerver
- Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, MI, United States
| | - Anne L Dunlop
- Department of Gynecology and Obstetrics, Emory University School of Medicine, Atlanta, GA, United States
| | - Christine Lm Joseph
- Department of Public Health Sciences, Henry Ford Health System, Detroit, MI, United States
| | - Carlos A Camargo
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States; Department of Medicine, Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States; Department of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Jody M Ganiban
- Department of Psychological and Brain Sciences, George Washington University, Washington, DC, United States
| | - Rebecca J Schmidt
- Department of Public Health Sciences, School of Medicine, University of California Davis, Davis, CA, United States
| | - Rita S Strakovsky
- Department of Food Science and Human Nutrition, Michigan State University, East Lansing, MI, United States
| | - Cindy T McEvoy
- Department of Pediatrics, Oregon Health & Science University, Portland, OR, United States
| | - Alison E Hipwell
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, United States
| | - Thomas Michael O'Shea
- Department of Pediatrics, University of North Carolina, Chapel Hill, NC, United States
| | - Lacey A McCormack
- Avera Research Institute, Sioux Falls, SD, United States; Department of Pediatrics, University of South Dakota School of Medicine, Sioux Falls, SD, United States
| | - Luis E Maldonado
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States
| | - Zhongzheng Niu
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States
| | - Assiamira Ferrara
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, United States
| | - Yeyi Zhu
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, United States
| | - Rana F Chehab
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, United States
| | - Eliza W Kinsey
- Department of Family Medicine & Community Health, Perelman School of Medicine, University of Pennsylvania, PA, United States
| | - Nicole R Bush
- Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, CA, United States; Department of Pediatrics, University of California, San Francisco, CA, United States
| | - Ruby H N Nguyen
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, MN, United States
| | - Kecia N Carroll
- Division of General Pediatrics, Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Emily S Barrett
- Department of Biostatistics and Epidemiology, Rutgers School of Public Health, Piscataway, NJ, United States
| | - Kristen Lyall
- AJ Drexel Autism Institute, Drexel University, Philadelphia, PA, United States
| | - Lauren M Sims-Taylor
- Department of Preventive Medicine, University of Tennessee Health Science Center, Memphis, TN, United States
| | - Leonardo Trasande
- Department of Pediatrics, New York University Grossman School of Medicine, New York, NY, United States
| | - Jocelyn M Biagini
- Division of Asthma Research, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States; Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, United States
| | - Carrie V Breton
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States
| | - Marisa A Patti
- AJ Drexel Autism Institute, Drexel University, Philadelphia, PA, United States
| | - Brent Coull
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, United States
| | - Ndidiamaka Amutah-Onukagha
- Department of Public Health and Community Medicine, Tufts University School of Medicine, Boston, MA, United States
| | - Michele R Hacker
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States; Department of Obstetrics and Gynecology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States
| | - Tamarra James-Todd
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States; Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, United States
| | - Emily Oken
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, United States
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8
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Oken E, Musci RJ, Westlake M, Gachigi K, Aschner JL, Barnes KL, Bastain TM, Buss C, Camargo CA, Cordero JF, Dabelea D, Dunlop AL, Ghassabian A, Hipwell AE, Hockett CW, Karagas MR, Lugo-Candelas C, Margolis AE, O’Connor TG, Shuster CL, Straughen JK, Lyall K. Demographic and health characteristics associated with fish and n-3 fatty acid supplement intake during pregnancy: results from pregnancy cohorts in the ECHO programme. Public Health Nutr 2024; 27:e94. [PMID: 38410088 PMCID: PMC10993063 DOI: 10.1017/s136898002400051x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Revised: 01/16/2024] [Accepted: 02/13/2024] [Indexed: 02/28/2024]
Abstract
OBJECTIVE n-3 fatty acid consumption during pregnancy is recommended for optimal pregnancy outcomes and offspring health. We examined characteristics associated with self-reported fish or n-3 supplement intake. DESIGN Pooled pregnancy cohort studies. SETTING Cohorts participating in the Environmental influences on Child Health Outcomes (ECHO) consortium with births from 1999 to 2020. PARTICIPANTS A total of 10 800 pregnant women in twenty-three cohorts with food frequency data on fish consumption; 12 646 from thirty-five cohorts with information on supplement use. RESULTS Overall, 24·6 % reported consuming fish never or less than once per month, 40·1 % less than once a week, 22·1 % 1-2 times per week and 13·2 % more than twice per week. The relative risk (RR) of ever (v. never) consuming fish was higher in participants who were older (1·14, 95 % CI 1·10, 1·18 for 35-40 v. <29 years), were other than non-Hispanic White (1·13, 95 % CI 1·08, 1·18 for non-Hispanic Black; 1·05, 95 % CI 1·01, 1·10 for non-Hispanic Asian; 1·06, 95 % CI 1·02, 1·10 for Hispanic) or used tobacco (1·04, 95 % CI 1·01, 1·08). The RR was lower in those with overweight v. healthy weight (0·97, 95 % CI 0·95, 1·0). Only 16·2 % reported n-3 supplement use, which was more common among individuals with a higher age and education, a lower BMI, and fish consumption (RR 1·5, 95 % CI 1·23, 1·82 for twice-weekly v. never). CONCLUSIONS One-quarter of participants in this large nationwide dataset rarely or never consumed fish during pregnancy, and n-3 supplement use was uncommon, even among those who did not consume fish.
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Affiliation(s)
- Emily Oken
- Division of Chronic Disease research across the Lifecourse, Department of
Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care
Institute, 401 Park Drive, Suite 401 East, Boston,
MA, USA
| | - Rashelle J Musci
- Department of Mental Health, Johns Hopkins Bloomberg School
of Public Health, Baltimore, MD,
USA
| | | | - Kennedy Gachigi
- Johns Hopkins Bloomberg School of Public Health,
Baltimore, MD, USA
| | - Judy L Aschner
- Department of Pediatrics, Joseph M. Sanzari Children’s Hospital,
Hackensack Meridian School of Medicine, Nutley,
NJ, USA
- Albert Einstein College of Medicine, Bronx,
NY, USA
| | | | - Theresa M Bastain
- Department of Population and Public Health Sciences,
University of Southern California, Los Angeles,
CA, USA
| | - Claudia Buss
- Department of Medical Psychology, Charité University of
Medicine Berlin, Berlin, Germany
- Development, Health, Disease Research Program, University of
California Irvine, Irvine, CA,
USA
| | - Carlos A Camargo
- Department of Emergency Medicine, Massachusetts General Hospital,
Harvard Medical School, Boston, MA,
USA
| | - Jose F Cordero
- Department of Epidemiology and Biostatistics, College of Public Health,
University of Georgia, Athens, GA,
USA
| | - Dana Dabelea
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center,
University of Colorado Anschutz Medical Campus,
Aurora, CO, USA
| | - Anne L Dunlop
- Department of Gynecology & Obstetrics, Emory University
School of Medicine, Atlanta, GA,
USA
| | - Akhgar Ghassabian
- Department of Pediatrics, New York University Grossman
School of Medicine, New York, NY,
USA
| | - Alison E Hipwell
- Department of Psychiatry, University of
Pittsburgh, Pittsburgh, PA,
USA
| | | | - Margaret R Karagas
- Department of Epidemiology, Geisel School of Medicine at
Dartmouth, Lebanon, NH, USA
| | | | - Amy E Margolis
- Columbia University Irving Medical center, New York,
NY, USA
| | - Thomas G O’Connor
- Departments of Psychiatry, Psychology, Neuroscience, Obstetrics and
Gynecology, University of Rochester, Rochester,
NY, USA
| | - Coral L Shuster
- Brown Center for the Study of Children at Risk, Women and
Infants Hospital, Providence, RI,
USA
| | - Jennifer K Straughen
- Department of Public Health Sciences, Henry Ford Health
System, Detroit, MI, USA
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9
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Notario-Barandiaran L, Signes-Pastor AJ, Laue HE, Abuawad A, Jackson BP, Madan JC, Karagas MR. Association between Mediterranean diet and metal mixtures concentrations in pregnant people from the New Hampshire Birth Cohort Study. Sci Total Environ 2024; 912:169127. [PMID: 38070554 PMCID: PMC10842702 DOI: 10.1016/j.scitotenv.2023.169127] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Revised: 12/02/2023] [Accepted: 12/03/2023] [Indexed: 01/18/2024]
Abstract
Diet is a primary source of nutrients but also toxic metal exposure. In pregnancy, balancing essential metal exposure while reducing non-essential ones is vital for fetal and maternal health. However, the effect of metal mixtures from diets like the Mediterranean, known for health benefits, remains unclear. This study aimed to explore the association between Mediterranean diet adherence and metals exposure, both individually and as mixtures. The study involved 907 pregnant participants from the New Hampshire Birth Cohort Study. We calculated the relative Mediterranean diet score (rMED) through a validated food frequency questionnaire, which includes 8 traditional Mediterranean dietary components. Also, at ~24-28 weeks of gestation, we used ICP-MS to measure speciation of Al, Cd, Co, Cu, Fe, Hg, Mo, Ni, Sb, Se, Sn, Zn, and As in urine, as well as Pb, Hg, As, Ni, and Se in toenails. We used multiple linear regression and Weighted Quantile Sum regression to analyze the association between rMED and metal mixtures. The models were adjusted for age, pre-pregnancy BMI, smoking during pregnancy, and educational level. High adherence to the Mediterranean diet was associated with increased urinary Al (® = 0.26 (95 % confidence interval (CI) = 0.05; 0.46)), Cd (β = 0.12 (95%CI = 0.00; 0.24)), Mo (β = 0.10 (95%CI = 0.00; 0.20)), and AsB (β = 0.88 (95%CI = 0.49; 1.27)) as well as toenail Hg (β = 0.44 (95%CI = 0.22; 0.65)), Ni (β = 0.37 (95%CI = 0.06; 0.67)), and Pb (β = 0.22 (95%CI = 0.03; 0.40)) compared to those with low adherence. The intake of fruits and nuts, fish and seafood, legumes, cereals, meat, and olive oil were found to be related to the metal biomarkers within the rMED. In conclusion, the Mediterranean diet enhances essential metal intake but may also increase exposure to harmful ones.
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Affiliation(s)
- L Notario-Barandiaran
- Department of Epidemiology, Geisel School of Medicine, Dartmouth College, Hanover, NH 03755, USA.
| | - A J Signes-Pastor
- Department of Epidemiology, Geisel School of Medicine, Dartmouth College, Hanover, NH 03755, USA; Unidad de Epidemiología de la Nutrición, Universidad Miguel Hernández, Alicante 03550, Spain; CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid 28029, Spain; Instituto de Investigación Sanitaria y Biomédica de Alicante (ISABIAL), Alicante 03010, Spain
| | - H E Laue
- Department of Epidemiology, Geisel School of Medicine, Dartmouth College, Hanover, NH 03755, USA
| | - A Abuawad
- Department of Epidemiology, Geisel School of Medicine, Dartmouth College, Hanover, NH 03755, USA
| | - B P Jackson
- Trace Element Analysis Laboratory, Earth Sciences, Dartmouth College, Hanover, NH 03755, USA
| | - J C Madan
- Department of Epidemiology, Geisel School of Medicine, Dartmouth College, Hanover, NH 03755, USA; Department of Psychiatry and Pediatrics, Children's Hospital at Dartmouth, Lebanon, NH 03756, USA
| | - M R Karagas
- Department of Epidemiology, Geisel School of Medicine, Dartmouth College, Hanover, NH 03755, USA
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10
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Xie S, Friesen MC, Baris D, Schwenn M, Rothman N, Johnson A, Karagas MR, Silverman DT, Koutros S. Occupational exposure to organic solvents and risk of bladder cancer. J Expo Sci Environ Epidemiol 2024:10.1038/s41370-024-00651-4. [PMID: 38365975 DOI: 10.1038/s41370-024-00651-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Revised: 01/13/2024] [Accepted: 01/15/2024] [Indexed: 02/18/2024]
Abstract
BACKGROUND Bladder cancer has been linked to several occupations that involve the use of solvents, including those used in the dry-cleaning industry. OBJECTIVES We evaluated exposure to solvents and risk of bladder cancer in 1182 incident cases and 1408 controls from a population-based study. METHODS Exposure to solvents was quantitatively assessed using a job-exposure matrix (CANJEM). Exposure to benzene, toluene and xylene often co-occur. Therefore, we created two additional sets of metrics for combined benzene, toluene and xylene (BTX) exposure: (1) CANJEM-based BTX metrics and (2) hybrid BTX metrics, using an approach that integrates the CANJEM-based BTX metrics together with lifetime occupational histories and exposure-oriented modules that captured within-job, respondent-specific details about tasks and chemicals. Adjusted odds ratios (ORs) and 95% confidence intervals (95% CI) were estimated using logistic regression. RESULTS Bladder cancer risks were increased among those ever exposed to benzene (OR = 1.63, 95% CI: 1.14-2.32), toluene (OR = 1.60, 95% CI: 1.06-2.43), and xylene (OR = 1.67, 95% CI: 1.13-2.48) individually. We further observed a statistically significant exposure-response relationship for cumulative BTX exposure, with a stronger association using the hybrid BTX metrics (ORQ1vsUnexposed = 1.26, 95% CI: 0.83-1.90; ORQ2vsUnexposed = 1.52, 95% CI: 1.00-2.31; ORQ3vsUnexposed = 1.88, 95% CI: 1.24-2.85; and ORQ4vsUnexposed = 2.23, 95% CI: 1.35-3.69) (p-trend=0.001) than using CANJEM-based metrics (p-trend=0.02). IMPACT There is limited evidence about the role of exposure to specific organic solvents, alone or in combination on the risk of developing bladder cancer. In this study, workers with increasing exposure to benzene, toluene, and xylene as a group (BTX) had a statistically significant exposure-response relationship with bladder cancer. Future evaluation of the carcinogenicity of BTX and other organic solvents, particularly concurrent exposure, on bladder cancer development is needed.
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Affiliation(s)
- Shuai Xie
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, USA
| | - Melissa C Friesen
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, USA
| | - Dalsu Baris
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, USA
| | | | - Nathaniel Rothman
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, USA
| | - Alison Johnson
- Formerly Vermont Department of Health, Burlington, VT, USA
| | - Margaret R Karagas
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, Hanover, NH, USA
| | - Debra T Silverman
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, USA
| | - Stella Koutros
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD, USA.
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11
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Punshon T, Bauer JA, Karagas MR, Coker MO, Weisskopf MG, Mangano JJ, Bidlack FB, Barr MN, Jackson BP. Quantified retrospective biomonitoring of fetal and infant elemental exposure using LA-ICP-MS analysis of deciduous dentin in three contrasting human cohorts. J Expo Sci Environ Epidemiol 2024:10.1038/s41370-024-00652-3. [PMID: 38347123 DOI: 10.1038/s41370-024-00652-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/06/2023] [Revised: 01/29/2024] [Accepted: 01/30/2024] [Indexed: 02/18/2024]
Abstract
BACKGROUND Spatial elemental analysis of deciduous tooth dentin combined with odontochronological estimates can provide an early life (in utero to ~2 years of age) history of inorganic element exposure and status. OBJECTIVE To demonstrate the importance of data normalization to a certified reference material to enable between-study comparisons, using populations with assumed contrasting elemental exposures. METHODS We used laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS) of dentin to derive a history of elemental composition from three distinct cohort studies: a present day rural cohort, (the New Hampshire Birth Cohort Study (NHBCS; N = 154)), an historical cohort from an urban area (1958-1970), (the St. Louis Baby Tooth Study (SLBT; N = 78)), and a present-day Nigerian cohort established to study maternal HIV transmission (Dental caries and its association with Oral Microbiomes and HIV in young children-Nigeria (DOMHaIN; N = 31)). RESULTS We report Li, Al, Mn, Cu, Zn, Sr, Ba and Pb concentrations (µg/g) and qualitatively examine As, Cd and Hg across all three cohorts. Rates of detection were highest, both overall and for each cohort individually, for Zn, Sr, Ba and Li. Zinc was detected in 100% of samples and was stably present in teeth at a concentration range of 64 - 86 µg/g. Mercury, As and Cd detection rates were the lowest, and had high variability within individual ablated spots. We found the highest concentrations of Pb in the pre- and postnatal dentin of the SLBT cohort, consistent with the prevalent use of Pb as an additive to gasoline prior to 1975. The characteristic decline in Mn after the second trimester was observed in all cohorts. IMPACT Spatially resolved elemental analysis of deciduous teeth combined with methods for estimating crown formation times can be used to reconstruct an early-life history of elemental exposure inaccessible via other biomarkers. Quantification of data into absolute values using an external standard reference material has not been conducted since 2012, preventing comparison between studies, a common and highly informative component of epidemiology. We demonstrate, with three contrasting populations, that absolute quantification produces data with the lowest variability, compares well with available data and recommends that future tooth biomarker studies report data in this way.
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Affiliation(s)
- T Punshon
- Department of Biological Sciences, Dartmouth College, Hanover, NH, 03755, USA.
| | - Julia A Bauer
- Department of Epidemiology, Geisel School of Medicine, Hanover, NH, 03755, USA
| | - Margaret R Karagas
- Department of Epidemiology, Geisel School of Medicine, Hanover, NH, 03755, USA
| | - Modupe O Coker
- Department of Epidemiology, Geisel School of Medicine, Hanover, NH, 03755, USA
- Department of Oral Biology, Rutgers School of Dental Medicine, Rutgers University, 110 Bergen Street, Room C-845, Newark, NJ, 07103, USA
| | - Marc G Weisskopf
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, 665 Huntington Ave, Boston, MA, 021156, USA
| | | | | | - Matthew N Barr
- Department of Earth Sciences, Dartmouth College, Hanover, NH, 03755, USA
| | - Brian P Jackson
- Department of Earth Sciences, Dartmouth College, Hanover, NH, 03755, USA
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12
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Song Q, diFlorio-Alexander RM, Sieberg RT, Dwan D, Boyce W, Stumetz K, Patel SD, Karagas MR, Mackenzie TA, Hassanpour S. Response to commentary on "Automated classification of fat-infiltrated axillary lymph nodes on screening mammograms". Br J Radiol 2024; 97:481-482. [PMID: 38306449 DOI: 10.1093/bjr/tqad062] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Accepted: 12/20/2023] [Indexed: 02/04/2024] Open
Affiliation(s)
- Qingyuan Song
- Department of Biomedical Data Science, Geisel School of Medicine, Dartmouth College, Lebanon, NH, 03756, United States
| | | | - Ryan T Sieberg
- Department of Radiology, School of Medicine, University of California, San Francisco, 94143, United States
| | - Dennis Dwan
- Department of Internal Medicine, Carney Hospital, Dorchester, MA, 02124, United States
| | - William Boyce
- Geisel School of Medicine, Dartmouth College, Lebanon, NH, 03756, United States
| | - Kyle Stumetz
- Department of Radiology, Dartmouth-Hitchcock Medical Center, Lebanon, NH, 03756, United States
| | - Sohum D Patel
- Department of Radiology, Dartmouth-Hitchcock Medical Center, Lebanon, NH, 03756, United States
| | - Margaret R Karagas
- Department of Epidemiology, Geisel School of Medicine, Dartmouth College, Lebanon, NH, 03756, United States
| | - Todd A Mackenzie
- Department of Biomedical Data Science, Geisel School of Medicine, Dartmouth College, Lebanon, NH, 03756, United States
| | - Saeed Hassanpour
- Department of Biomedical Data Science, Geisel School of Medicine, Dartmouth College, Lebanon, NH, 03756, United States
- Department of Epidemiology, Geisel School of Medicine, Dartmouth College, Lebanon, NH, 03756, United States
- Department of Computer Science, Dartmouth College, Hanover, NH, 03755, United States
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13
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Song Q, Muller KE, Hondelink LM, diFlorio-Alexander RM, Karagas MR, Hassanpour S. Nonmetastatic Axillary Lymph Nodes Have Distinct Morphology and Immunophenotype in Obese Patients with Breast Cancer at Risk for Metastasis. Am J Pathol 2024; 194:253-263. [PMID: 38029922 PMCID: PMC10835463 DOI: 10.1016/j.ajpath.2023.11.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 11/02/2023] [Accepted: 11/07/2023] [Indexed: 12/01/2023]
Abstract
Obese patients with breast cancer have worse outcomes than their normal weight counterparts, with a 50% to 80% increased rate of axillary nodal metastasis. Recent studies suggest a link between increased lymph node adipose tissue and breast cancer nodal metastasis. Further investigation into potential mechanisms underlying this link may reveal potential prognostic utility of fat-enlarged lymph nodes in patients with breast cancer. This study used a deep learning model to identify morphologic differences in nonmetastatic axillary nodes between obese, node-positive, and node-negative patients with breast cancer. The model was developed using nested cross-validation on 180 cases and achieved an area under the receiver operator characteristic curve of 0.67 in differentiating patients using hematoxylin and eosin-stained whole slide images. The morphologic analysis of the predictive regions showed an increased average adipocyte size (P = 0.004), increased white space between lymphocytes (P < 0.0001), and increased red blood cells (P < 0.001) in nonmetastatic lymph nodes of node-positive patients. Preliminary immunohistochemistry analysis on a subset of 30 patients showed a trend of decreased CD3 expression and increased leptin expression in fat-replaced axillary lymph nodes of obese, node-positive patients. These findings suggest a novel direction to further investigate the interaction between lymph node adiposity, lymphatic dysfunction, and breast cancer nodal metastases, highlighting a possible prognostic tool for obese patients with breast cancer.
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Affiliation(s)
- Qingyuan Song
- Department of Biomedical Data Science, Dartmouth College, Hanover, New Hampshire
| | - Kristen E Muller
- Department of Pathology and Laboratory Medicine, Dartmouth Health, Lebanon, New Hampshire
| | - Liesbeth M Hondelink
- Department of Pathology, Leiden University Medical Center, Leiden, the Netherlands
| | | | | | - Saeed Hassanpour
- Department of Biomedical Data Science, Dartmouth College, Hanover, New Hampshire; Department of Epidemiology, Dartmouth College, Hanover, New Hampshire; Department of Computer Science, Dartmouth College, Hanover, New Hampshire.
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14
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Muse ME, Armstrong DA, Hoen AG, Gilbert-Diamond D, Gui J, Palys TJ, Kolling FW, Christensen BC, Karagas MR, Howe CG. Maternal-Infant Factors in Relation to Extracellular Vesicle and Particle miRNA in Prenatal Plasma and in Postpartum Human Milk. Int J Mol Sci 2024; 25:1538. [PMID: 38338815 PMCID: PMC10855220 DOI: 10.3390/ijms25031538] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Revised: 01/19/2024] [Accepted: 01/24/2024] [Indexed: 02/12/2024] Open
Abstract
MicroRNAs (miRNA) in extracellular vesicles and particles (EVPs) in maternal circulation during pregnancy and in human milk postpartum are hypothesized to facilitate maternal-offspring communication via epigenetic regulation. However, factors influencing maternal EVP miRNA profiles during these two critical developmental windows remain largely unknown. In a pilot study of 54 mother-child dyads in the New Hampshire Birth Cohort Study, we profiled 798 EVP miRNAs, using the NanoString nCounter platform, in paired maternal second-trimester plasma and mature (6-week) milk samples. In adjusted models, total EVP miRNA counts were lower for plasma samples collected in the afternoon compared with the morning (p = 0.024). Infant age at sample collection was inversely associated with total miRNA counts in human milk EVPs (p = 0.040). Milk EVP miRNA counts were also lower among participants who were multiparous after delivery (p = 0.047), had a pre-pregnancy BMI > 25 kg/m2 (p = 0.037), or delivered their baby via cesarean section (p = 0.021). In post hoc analyses, we also identified 22 specific EVP miRNA that were lower among participants who delivered their baby via cesarean section (Q < 0.05). Target genes of delivery mode-associated miRNAs were over-represented in pathways related to satiety signaling in infants (e.g., CCKR signaling) and mammary gland development and lactation (e.g., FGF signaling, EGF receptor signaling). In conclusion, we identified several key factors that may influence maternal EVP miRNA composition during two critical developmental windows, which should be considered in future studies investigating EVP miRNA roles in maternal and child health.
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Affiliation(s)
- Meghan E. Muse
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, 1 Medical Center Dr, Lebanon, NH 03755, USA (M.R.K.); (C.G.H.)
| | - David A. Armstrong
- Research Service, V.A. Medical Center, Hartford, VT 05009, USA
- Department of Dermatology, Dartmouth Health, Lebanon, NH 03756, USA
| | - Anne G. Hoen
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, 1 Medical Center Dr, Lebanon, NH 03755, USA (M.R.K.); (C.G.H.)
- Department of Biomedical Data Science, Geisel School of Medicine at Dartmouth, Lebanon, NH 03756, USA
| | - Diane Gilbert-Diamond
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, 1 Medical Center Dr, Lebanon, NH 03755, USA (M.R.K.); (C.G.H.)
| | - Jiang Gui
- Department of Biomedical Data Science, Geisel School of Medicine at Dartmouth, Lebanon, NH 03756, USA
| | - Thomas J. Palys
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, 1 Medical Center Dr, Lebanon, NH 03755, USA (M.R.K.); (C.G.H.)
| | - Frederick W. Kolling
- Dartmouth Cancer Center, Geisel School of Medicine at Dartmouth, Lebanon, NH 03756, USA
| | - Brock C. Christensen
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, 1 Medical Center Dr, Lebanon, NH 03755, USA (M.R.K.); (C.G.H.)
- Department of Molecular and Systems Biology, Geisel School of Medicine at Dartmouth, Lebanon, NH 03756, USA
| | - Margaret R. Karagas
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, 1 Medical Center Dr, Lebanon, NH 03755, USA (M.R.K.); (C.G.H.)
| | - Caitlin G. Howe
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, 1 Medical Center Dr, Lebanon, NH 03755, USA (M.R.K.); (C.G.H.)
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15
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Prince N, Liang D, Tan Y, Alshawabkeh A, Angel EE, Busgang SA, Chu SH, Cordero JF, Curtin P, Dunlop AL, Gilbert-Diamond D, Giulivi C, Hoen AG, Karagas MR, Kirchner D, Litonjua AA, Manjourides J, McRitchie S, Meeker JD, Pathmasiri W, Perng W, Schmidt RJ, Watkins DJ, Weiss ST, Zens MS, Zhu Y, Lasky-Su JA, Kelly RS. Metabolomic data presents challenges for epidemiological meta-analysis: a case study of childhood body mass index from the ECHO consortium. Metabolomics 2024; 20:16. [PMID: 38267770 DOI: 10.1007/s11306-023-02082-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/10/2023] [Accepted: 12/12/2023] [Indexed: 01/26/2024]
Abstract
INTRODUCTION Meta-analyses across diverse independent studies provide improved confidence in results. However, within the context of metabolomic epidemiology, meta-analysis investigations are complicated by differences in study design, data acquisition, and other factors that may impact reproducibility. OBJECTIVE The objective of this study was to identify maternal blood metabolites during pregnancy (> 24 gestational weeks) related to offspring body mass index (BMI) at age two years through a meta-analysis framework. METHODS We used adjusted linear regression summary statistics from three cohorts (total N = 1012 mother-child pairs) participating in the NIH Environmental influences on Child Health Outcomes (ECHO) Program. We applied a random-effects meta-analysis framework to regression results and adjusted by false discovery rate (FDR) using the Benjamini-Hochberg procedure. RESULTS Only 20 metabolites were detected in all three cohorts, with an additional 127 metabolites detected in two of three cohorts. Of these 147, 6 maternal metabolites were nominally associated (P < 0.05) with offspring BMI z-scores at age 2 years in a meta-analytic framework including at least two studies: arabinose (Coefmeta = 0.40 [95% CI 0.10,0.70], Pmeta = 9.7 × 10-3), guanidinoacetate (Coefmeta = - 0.28 [- 0.54, - 0.02], Pmeta = 0.033), 3-ureidopropionate (Coefmeta = 0.22 [0.017,0.41], Pmeta = 0.033), 1-methylhistidine (Coefmeta = - 0.18 [- 0.33, - 0.04], Pmeta = 0.011), serine (Coefmeta = - 0.18 [- 0.36, - 0.01], Pmeta = 0.034), and lysine (Coefmeta = - 0.16 [- 0.32, - 0.01], Pmeta = 0.044). No associations were robust to multiple testing correction. CONCLUSIONS Despite including three cohorts with large sample sizes (N > 100), we failed to identify significant metabolite associations after FDR correction. Our investigation demonstrates difficulties in applying epidemiological meta-analysis to clinical metabolomics, emphasizes challenges to reproducibility, and highlights the need for standardized best practices in metabolomic epidemiology.
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Affiliation(s)
- Nicole Prince
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Donghai Liang
- Gangarosa Department of Environmental Health, Emory University Rollins School of Public Health, Atlanta, GA, USA
| | - Youran Tan
- Gangarosa Department of Environmental Health, Emory University Rollins School of Public Health, Atlanta, GA, USA
| | - Akram Alshawabkeh
- Department of Civil and Environmental Engineering, Northeastern University, Boston, MA, USA
| | - Elizabeth Esther Angel
- Department of Public Health Sciences, School of Medicine, University of California Davis, Davis, CA, 95616, USA
| | - Stefanie A Busgang
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Su H Chu
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - José F Cordero
- Department of Epidemiology and Biostatistics, College of Public Health, University of Georgia, Athens, GA, USA
| | - Paul Curtin
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Anne L Dunlop
- Department of Gynecology and Obstetrics, Emory University School of Medicine, Atlanta, GA, USA
| | - Diane Gilbert-Diamond
- Department of Epidemiology, Geisel School of Medicine at Dartmouth College, Lebanon, NH, USA
- Department of Medicine, Geisel School of Medicine at Dartmouth College, Lebanon, NH, USA
- Department of Pediatrics, Geisel School of Medicine at Dartmouth College, Lebanon, NH, USA
| | - Cecilia Giulivi
- Department of Molecular Biosciences, School of Veterinary Medicine, University of California Davis, Davis, CA, 95616, USA
| | - Anne G Hoen
- Department of Epidemiology, Geisel School of Medicine at Dartmouth College, Lebanon, NH, USA
| | - Margaret R Karagas
- Department of Epidemiology, Geisel School of Medicine at Dartmouth College, Lebanon, NH, USA
| | - David Kirchner
- Department of Nutrition, Gillings School of Global Public Health, Nutrition Research Institute, University of North Carolina at Chapel Hill, Kannapolis, NC, USA
| | - Augusto A Litonjua
- Division of Pediatric Pulmonary Medicine, Golisano Children's Hospital at Strong, University of Rochester Medical Center, Rochester, NY, USA
| | | | - Susan McRitchie
- Department of Nutrition, Gillings School of Global Public Health, Nutrition Research Institute, University of North Carolina at Chapel Hill, Kannapolis, NC, USA
| | - John D Meeker
- Department of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Wimal Pathmasiri
- Department of Nutrition, Gillings School of Global Public Health, Nutrition Research Institute, University of North Carolina at Chapel Hill, Kannapolis, NC, USA
| | - Wei Perng
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Rebecca J Schmidt
- Department of Public Health Sciences, School of Medicine, University of California Davis, Davis, CA, 95616, USA
- MIND Institute, School of Medicine, University of California Davis, Davis, CA, 95616, USA
| | - Deborah J Watkins
- Department of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Scott T Weiss
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Michael S Zens
- Department of Epidemiology, Geisel School of Medicine at Dartmouth College, Lebanon, NH, USA
| | - Yeyi Zhu
- Kaiser Permanente Northern California Division of Research, Oakland, CA, USA
| | - Jessica A Lasky-Su
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Rachel S Kelly
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
- Department of Medicine, Channing Division of Network Medicine, Brigham and Women's Hospital, 181 Longwood Avenue, Boston, MA, 02115, USA.
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16
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Von Holle A, O'Brien KM, Sandler DP, Janicek R, Karagas MR, White AJ, Niehoff NM, Levine KE, Jackson BP, Weinberg CR. Toenail and serum levels as biomarkers of iron status in pre- and postmenopausal women: correlations and stability over eight-year follow-up. Sci Rep 2024; 14:1682. [PMID: 38242893 PMCID: PMC10798942 DOI: 10.1038/s41598-023-50506-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Accepted: 12/20/2023] [Indexed: 01/21/2024] Open
Abstract
Iron status is often assessed in epidemiologic studies, and toenails offer a convenient alternative to serum because of ease of collection, transport, and storage, and the potential to reflect a longer exposure window. Very few studies have examined the correlation between serum and toenail levels for trace metals. Our aim was to compare iron measures using serum and toenails on both a cross-sectional and longitudinal basis. Using a subset of the US-wide prospective Sister Study cohort, we compared toenail iron measures to serum concentrations for iron, ferritin and percent transferrin saturation. Among 146 women who donated both blood and toenails at baseline, a subsample (59%, n = 86) provided specimens about 8 years later. Cross-sectional analyses included nonparametric Spearman's rank correlations between toenail and serum biomarker levels. We assessed within-woman maintenance of rank across time for the toenail and serum measures and fit mixed effects models to measure change across time in relation to change in menopause status. Spearman correlations at baseline (follow-up) were 0.08 (0.09) for serum iron, 0.08 (0.07) for transferrin saturation, and - 0.09 (- 0.17) for ferritin. The within-woman Spearman correlation for toenail iron between the two time points was higher (0.47, 95% CI 0.30, 0.64) than for serum iron (0.30, 95% CI 0.09, 0.51) and transferrin saturation (0.34, 95% CI 0.15, 0.54), but lower than that for ferritin (0.58, 95% CI 0.43, 0.73). Serum ferritin increased over time while nail iron decreased over time for women who experienced menopause during the 8-years interval. Based on cross-sectional and repeated assessments, our evidence does not support an association between serum biomarkers and toenail iron levels. Toenail iron concentrations did appear to be moderately stable over time but cannot be taken as a proxy for serum iron biomarkers and they may reflect physiologically distinct fates for iron.
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Affiliation(s)
- Ann Von Holle
- Biostatistics and Computational Biology Branch National Institute of Environmental Health Sciences, Mail Drop A3-03, P.O. Box 12233, Research Triangle Park, Durham, NC, 27709, USA
| | - Katie M O'Brien
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA
| | - Dale P Sandler
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA
| | - Robert Janicek
- Advanced Research and Diagnostic Laboratory, University of Minnesota, Minneapolis, MN, USA
| | - Margaret R Karagas
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, Dartmouth College, Hanover, NH, USA
| | - Alexandra J White
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA
| | - Nicole M Niehoff
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA
- Ontada, Durham, NC, USA
| | | | - Brian P Jackson
- Department of Earth Sciences, Dartmouth College, Hanover, NH, USA
| | - Clarice R Weinberg
- Biostatistics and Computational Biology Branch National Institute of Environmental Health Sciences, Mail Drop A3-03, P.O. Box 12233, Research Triangle Park, Durham, NC, 27709, USA.
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17
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Chen JQ, Salas LA, Wiencke JK, Koestler DC, Molinaro AM, Andrew AS, Seigne JD, Karagas MR, Kelsey KT, Christensen BC. Matched analysis of detailed peripheral blood and tumor immune microenvironment profiles in bladder cancer. Epigenomics 2024; 16:41-56. [PMID: 38221889 PMCID: PMC10804212 DOI: 10.2217/epi-2023-0358] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Accepted: 12/11/2023] [Indexed: 01/16/2024] Open
Abstract
Background: Bladder cancer and therapy responses hinge on immune profiles in the tumor microenvironment (TME) and blood, yet studies linking tumor-infiltrating immune cells to peripheral immune profiles are limited. Methods: DNA methylation cytometry quantified TME and matched peripheral blood immune cell proportions. With tumor immune profile data as the input, subjects were grouped by immune infiltration status and consensus clustering. Results: Immune hot and cold groups had different immune compositions in the TME but not in circulating blood. Two clusters of patients identified with consensus clustering had different immune compositions not only in the TME but also in blood. Conclusion: Detailed immune profiling via methylation cytometry reveals the significance of understanding tumor and systemic immune relationships in cancer patients.
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Affiliation(s)
- Ji-Qing Chen
- Department of Epidemiology, Geisel School of Medicine, Dartmouth College, Lebanon, NH 03766, USA
| | - Lucas A Salas
- Department of Epidemiology, Geisel School of Medicine, Dartmouth College, Lebanon, NH 03766, USA
| | - John K Wiencke
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA 94143, USA
| | - Devin C Koestler
- Department of Biostatistics & Data Science, University of Kansas Medical Center, Kansas City, KS 66160, USA
| | - Annette M Molinaro
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA 94143, USA
| | - Angeline S Andrew
- Department of Neurology, Geisel School of Medicine, Dartmouth College, Lebanon, NH 03766, USA
| | - John D Seigne
- Department of Surgery, Section of Urology, Geisel School of Medicine, Dartmouth College, Lebanon, NH 03766, USA
| | - Margaret R Karagas
- Department of Epidemiology, Geisel School of Medicine, Dartmouth College, Lebanon, NH 03766, USA
| | - Karl T Kelsey
- Departments of Epidemiology & Pathology & Laboratory Medicine, Brown University, Providence, RI 02912, USA
| | - Brock C Christensen
- Department of Epidemiology, Geisel School of Medicine, Dartmouth College, Lebanon, NH 03766, USA
- Departments of Molecular and Systems Biology, Geisel School of Medicine, Dartmouth College, Lebanon, NH 03766, USA
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18
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Srinivasan G, Davis MJ, LeBoeuf MR, Fatemi M, Azher ZL, Lu Y, Diallo AB, Saldias Montivero MK, Kolling FW, Perrard L, Salas LA, Christensen BC, Palys TJ, Karagas MR, Palisoul SM, Tsongalis GJ, Vaickus LJ, Preum SM, Levy JJ. Potential to Enhance Large Scale Molecular Assessments of Skin Photoaging through Virtual Inference of Spatial Transcriptomics from Routine Staining. Pac Symp Biocomput 2024; 29:477-491. [PMID: 38160301 PMCID: PMC10813837] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 01/03/2024]
Abstract
The advent of spatial transcriptomics technologies has heralded a renaissance in research to advance our understanding of the spatial cellular and transcriptional heterogeneity within tissues. Spatial transcriptomics allows investigation of the interplay between cells, molecular pathways, and the surrounding tissue architecture and can help elucidate developmental trajectories, disease pathogenesis, and various niches in the tumor microenvironment. Photoaging is the histological and molecular skin damage resulting from chronic/acute sun exposure and is a major risk factor for skin cancer. Spatial transcriptomics technologies hold promise for improving the reliability of evaluating photoaging and developing new therapeutics. Challenges to current methods include limited focus on dermal elastosis variations and reliance on self-reported measures, which can introduce subjectivity and inconsistency. Spatial transcriptomics offers an opportunity to assess photoaging objectively and reproducibly in studies of carcinogenesis and discern the effectiveness of therapies that intervene in photoaging and preventing cancer. Evaluation of distinct histological architectures using highly-multiplexed spatial technologies can identify specific cell lineages that have been understudied due to their location beyond the depth of UV penetration. However, the cost and interpatient variability using state-of-the-art assays such as the 10x Genomics Spatial Transcriptomics assays limits the scope and scale of large-scale molecular epidemiologic studies. Here, we investigate the inference of spatial transcriptomics information from routine hematoxylin and eosin-stained (H&E) tissue slides. We employed the Visium CytAssist spatial transcriptomics assay to analyze over 18,000 genes at a 50-micron resolution for four patients from a cohort of 261 skin specimens collected adjacent to surgical resection sites for basal cell and squamous cell keratinocyte tumors. The spatial transcriptomics data was co-registered with 40x resolution whole slide imaging (WSI) information. We developed machine learning models that achieved a macro-averaged median AUC and F1 score of 0.80 and 0.61 and Spearman coefficient of 0.60 in inferring transcriptomic profiles across the slides, and accurately captured biological pathways across various tissue architectures.
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Affiliation(s)
- Gokul Srinivasan
- Department of Pathology and Laboratory Medicine, Dartmouth Hitchcock Medical Center, Lebanon, NH 03756, USA,
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19
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Chipman JW, Shi X, Gilbert‐Diamond D, Khatchikian C, Baker ER, Nieuwenhuijsen M, Karagas MR. Greenspace and Land Cover Diversity During Pregnancy in a Rural Region, and Associations With Birth Outcomes. Geohealth 2024; 8:e2023GH000905. [PMID: 38264534 PMCID: PMC10804422 DOI: 10.1029/2023gh000905] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Revised: 11/17/2023] [Accepted: 11/20/2023] [Indexed: 01/25/2024]
Abstract
Beneficial effects on health outcomes have been observed from exposure to spaces with substantial green vegetation ("greenspace"). This includes studies of greenspace exposure on birth outcomes; however, these have been conducted largely in urban regions. We characterized residential exposure to greenspace and land cover diversity during pregnancy in rural northern New England, USA, investigating whether variation in greenspace or diversity related to newborn outcomes. Five landscape variables (greenspace land cover, land cover diversity, impervious surface area, tree canopy cover, and the Normalized Difference Vegetation Index) were aggregated within six circular zones of radii from 100 to 3,000 m around residential addresses, and distance to conservation land was measured, providing a total of 31 greenspace and diversity metrics. Four birth outcomes along with potentially confounding variables were obtained from 1,440 participants in the New Hampshire Birth Cohort Study. Higher greenspace land cover up to 3,000 m was associated with larger newborn head circumference, while impervious surface area (non-greenspace) had the opposite association. Further, birth length was positively associated with land cover diversity. These findings support beneficial health impacts of greenspace exposure observed in urban regions for certain health outcomes, such as newborn head circumference and length but not others such as birthweight and gestational age. Further our results indicate that larger radius buffer zones may be needed to characterize the rural landscape. Vegetation indices may not be interchangeable with other greenspace metrics such as land cover and impervious surface area in rural landscapes.
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Affiliation(s)
| | - Xun Shi
- Department of GeographyDartmouth CollegeHanoverNHUSA
| | - Diane Gilbert‐Diamond
- Department of EpidemiologyGeisel School of Medicine at DartmouthLebanonNHUSA
- Children's Environmental Health and Disease Prevention Research Center at DartmouthHanoverNHUSA
| | - Camilo Khatchikian
- Department of EpidemiologyGeisel School of Medicine at DartmouthLebanonNHUSA
| | - Emily R. Baker
- Department of Obstetrics and GynecologyDartmouth Hitchcock Medical CenterLebanonNHUSA
| | | | - Margaret R. Karagas
- Department of EpidemiologyGeisel School of Medicine at DartmouthLebanonNHUSA
- Children's Environmental Health and Disease Prevention Research Center at DartmouthHanoverNHUSA
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20
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Wong JYY, Fischer AH, Baris D, Beane Freeman LE, Karagas MR, Schwenn M, Johnson A, Matthews PP, Swank AE, Hosain GM, Koutros S, Silverman DT, DeMarini DM, Rothman N. Urinary mutagenicity and bladder cancer risk in northern New England. Environ Mol Mutagen 2024; 65:47-54. [PMID: 38465801 DOI: 10.1002/em.22588] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Revised: 01/23/2024] [Accepted: 02/21/2024] [Indexed: 03/12/2024]
Abstract
The etiology of bladder cancer among never smokers without occupational or environmental exposure to established urothelial carcinogens remains unclear. Urinary mutagenicity is an integrative measure that reflects recent exposure to genotoxic agents. Here, we investigated its potential association with bladder cancer in rural northern New England. We analyzed 156 bladder cancer cases and 247 cancer-free controls from a large population-based case-control study conducted in Maine, New Hampshire, and Vermont. Overnight urine samples were deconjugated enzymatically and the extracted organics were assessed for mutagenicity using the plate-incorporation Ames assay with the Salmonella frameshift strain YG1041 + S9. Logistic regression was used to estimate the odds ratios (OR) and 95% confidence intervals (CI) of bladder cancer in relation to having mutagenic versus nonmutagenic urine, adjusted for age, sex, and state, and stratified by smoking status (never, former, and current). We found evidence for an association between having mutagenic urine and increased bladder cancer risk among never smokers (OR = 3.8, 95% CI: 1.3-11.2) but not among former or current smokers. Risk could not be estimated among current smokers because nearly all cases and controls had mutagenic urine. Urinary mutagenicity among never-smoking controls could not be explained by recent exposure to established occupational and environmental mutagenic bladder carcinogens evaluated in our study. Our findings suggest that among never smokers, urinary mutagenicity potentially reflects genotoxic exposure profiles relevant to bladder carcinogenesis. Future studies are needed to replicate our findings and identify compounds and their sources that influence bladder cancer risk.
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Affiliation(s)
- Jason Y Y Wong
- Epidemiology and Community Health Branch, National Heart Lung and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, Maryland, USA
| | - Alexander H Fischer
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, Maryland, USA
| | - Dalsu Baris
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, Maryland, USA
| | - Laura E Beane Freeman
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, Maryland, USA
| | - Margaret R Karagas
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire, USA
| | | | | | - Peggy P Matthews
- Office of Research and Development, U.S. Environmental Protection Agency, Research Triangle Park, North Carolina, USA
| | - Adam E Swank
- Office of Research and Development, U.S. Environmental Protection Agency, Research Triangle Park, North Carolina, USA
| | - G Monawar Hosain
- Division of Public Health Services, New Hampshire Department of Health and Human Services, Concord, New Hampshire, USA
| | - Stella Koutros
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, Maryland, USA
| | - Debra T Silverman
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, Maryland, USA
| | - David M DeMarini
- Office of Research and Development, U.S. Environmental Protection Agency, Research Triangle Park, North Carolina, USA
| | - Nathaniel Rothman
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, Maryland, USA
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21
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Shipp GM, Wosu AC, Knapp EA, Sauder KA, Dabelea D, Perng W, Zhu Y, Ferrara A, Dunlop AL, Deoni S, Gern J, Porucznik C, Aris IM, Karagas MR, Sathyanarayana S, O’Connor TG, Carroll KN, Wright RJ, Hockett CW, Johnson CC, Meeker JD, Cordero J, Paneth N, Comstock SS, Kerver JM. Maternal Pre-Pregnancy BMI, Breastfeeding, and Child BMI. Pediatrics 2024; 153:e2023061466. [PMID: 38111349 PMCID: PMC10752824 DOI: 10.1542/peds.2023-061466] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 09/29/2023] [Indexed: 12/20/2023] Open
Abstract
OBJECTIVES Breastfeeding practices may protect against offspring obesity, but this relationship is understudied among women with obesity. We describe the associations between breastfeeding practices and child BMI for age z-score (BMIz), stratified by maternal BMI. METHODS We analyzed 8134 dyads from 21 cohorts in the Environmental Influences on Child Health Outcomes Program. Dyads with data for maternal pre-pregnancy BMI, infant feeding practices, and ≥1 child BMI assessment between the ages of 2 and 6 years were included. The associations between breastfeeding practices and continuous child BMIz were assessed by using multivariable linear mixed models. RESULTS Maternal pre-pregnancy BMI category prevalence was underweight: 2.5%, healthy weight: 45.8%, overweight: 26.0%, and obese: 25.6%. Median child ages at the cessation of any breastfeeding and exclusive breastfeeding across the 4 BMI categories were 19, 26, 24, and 17 weeks and 12, 20, 17, and 12 weeks, respectively. Results were in the hypothesized directions for BMI categories. Three months of any breastfeeding was associated with a lower BMIz among children whose mothers were a healthy weight (-0.02 [-0.04 to 0.001], P = .06), overweight (-0.04 [-0.07 to -0.004], P = .03), or obese (-0.04 [-0.07 to -0.006], P = .02). Three months of exclusive breastfeeding was associated with a lower BMIz among children whose mothers were a healthy weight (-0.06 [-0.10 to -0.02], P = .002), overweight (-0.05 [-0.10 to 0.005], P = .07), or obese (-0.08 [-0.12 to -0.03], P = .001). CONCLUSIONS Human milk exposure, regardless of maternal BMI category, was associated with a lower child BMIz in the Environmental Influences on Child Health Outcomes cohorts, supporting breastfeeding recommendations as a potential strategy for decreasing the risk of offspring obesity.
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Affiliation(s)
- Gayle M. Shipp
- Charles Stewart Mott Department of Public Health, Pediatric Public Health Initiative, Michigan State University, Flint, Michigan
| | - Adaeze C. Wosu
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Emily A. Knapp
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | | | - Dana Dabelea
- Lifecourse Epidemiology and Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - Wei Perng
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center
| | - Yeyi Zhu
- Kaiser Permanente Northern California, Oakland, California
| | | | - Anne L. Dunlop
- Department of Gynecology and Obstetrics, Emory University School of Medicine, Atlanta, Georgia
| | - Sean Deoni
- Advanced Baby Imaging Laboratory, Providence, Rhode Island and Bill & Melinda Gates Foundation, Maternal, Newborn, and Child Health Discovery & Tools, Seattle, Washington
| | - James Gern
- Departments of Pediatrics and Medicine, University of Wisconsin-Madison, Madison, Wisconsin
| | - Christy Porucznik
- Department of Family and Preventive Medicine, Spencer Fox Eccles School of Medicine, University of Utah, Salt Lake City, Utah
| | - Izzuddin M. Aris
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston Massachusetts
| | - Margaret R. Karagas
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, Dartmouth College, Lebanon, New Hampshire
| | - Sheela Sathyanarayana
- Department of Pediatrics and Adjunct Environmental and Occupational Health Sciences, University of Washington and Seattle Children’s Research Institute, Seattle, Washington
| | - Tom G. O’Connor
- Department of Psychiatry, University of Rochester Medical Center, Rochester, New York
| | - Kecia N. Carroll
- Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Rosalind J. Wright
- Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Christine W. Hockett
- Avera Research Institute, Sioux Falls, South Dakota
- Department of Pediatrics, University of South Dakota School of Medicine, Vermillion, South Dakota
| | | | - John D. Meeker
- Department of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, Michigan
| | - José Cordero
- Affiliation for José Cordero; Department of Epidemiology and Biostatistics, University of Georgia, Athens, Georgia
| | - Nigel Paneth
- Departments of Epidemiology and Biostatistics
- Pediatrics and Human Development
| | - Sarah S. Comstock
- Food Science and Human Nutrition. Michigan State University, East Lansing, Michigan
| | - Jean M. Kerver
- Departments of Epidemiology and Biostatistics
- Pediatrics and Human Development
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22
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Oh J, Buckley JP, Li X, Gachigi KK, Kannan K, Lyu W, Ames JL, Barrett ES, Bastain TM, Breton CV, Buss C, Croen LA, Dunlop AL, Ferrara A, Ghassabian A, Herbstman JB, Hernandez-Castro I, Hertz-Picciotto I, Kahn LG, Karagas MR, Kuiper JR, McEvoy CT, Meeker JD, Morello-Frosch R, Padula AM, Romano ME, Sathyanarayana S, Schantz S, Schmidt RJ, Simhan H, Starling AP, Tylavsky FA, Volk HE, Woodruff TJ, Zhu Y, Bennett DH. Associations of Organophosphate Ester Flame Retardant Exposures during Pregnancy with Gestational Duration and Fetal Growth: The Environmental influences on Child Health Outcomes (ECHO) Program. Environ Health Perspect 2024; 132:17004. [PMID: 38262621 PMCID: PMC10805613 DOI: 10.1289/ehp13182] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Revised: 12/07/2023] [Accepted: 12/13/2023] [Indexed: 01/25/2024]
Abstract
BACKGROUND Widespread exposure to organophosphate ester (OPE) flame retardants with potential reproductive toxicity raises concern regarding the impacts of gestational exposure on birth outcomes. Previous studies of prenatal OPE exposure and birth outcomes had limited sample sizes, with inconclusive results. OBJECTIVES We conducted a collaborative analysis of associations between gestational OPE exposures and adverse birth outcomes and tested whether associations were modified by sex. METHODS We included 6,646 pregnant participants from 16 cohorts in the Environmental influences on Child Health Outcomes (ECHO) Program. Nine OPE biomarkers were quantified in maternal urine samples collected primarily during the second and third trimester and modeled as log 2 -transformed continuous, categorized (high/low/nondetect), or dichotomous (detect/nondetect) variables depending on detection frequency. We used covariate-adjusted linear, logistic, and multinomial regression with generalized estimating equations, accounting for cohort-level clustering, to estimate associations of OPE biomarkers with gestational length and birth weight outcomes. Secondarily, we assessed effect modification by sex. RESULTS Three OPE biomarkers [diphenyl phosphate (DPHP), a composite of dibutyl phosphate and di-isobutyl phosphate (DBUP/DIBP), and bis(1,3-dichloro-2-propyl) phosphate] were detected in > 85 % of participants. In adjusted models, DBUP/DIBP [odds ratio (OR) per doubling = 1.07 ; 95% confidence interval (CI): 1.02, 1.12] and bis(butoxyethyl) phosphate (OR for high vs. nondetect = 1.25 ; 95% CI: 1.06, 1.46), but not other OPE biomarkers, were associated with higher odds of preterm birth. We observed effect modification by sex for associations of DPHP and high bis(2-chloroethyl) phosphate with completed gestational weeks and odds of preterm birth, with adverse associations among females. In addition, newborns of mothers with detectable bis(1-chloro-2-propyl) phosphate, bis(2-methylphenyl) phosphate, and dipropyl phosphate had higher birth weight-for-gestational-age z -scores (β for detect vs. nondetect = 0.04 - 0.07 ); other chemicals showed null associations. DISCUSSION In the largest study to date, we find gestational exposures to several OPEs are associated with earlier timing of birth, especially among female neonates, or with greater fetal growth. https://doi.org/10.1289/EHP13182.
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Affiliation(s)
- Jiwon Oh
- Department of Public Health Sciences, University of California Davis (UC-Davis), Davis, California, USA
| | - Jessie P. Buckley
- Department of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
- Department of Epidemiology, University of North Carolina at Chapel Hill (UNC-Chapel Hill), Chapel Hill, North Carolina, USA
| | - Xuan Li
- Department of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Kennedy K. Gachigi
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Kurunthachalam Kannan
- Wadsworth Center, Division of Environmental Health Sciences, New York State Department of Health, Albany, New York, USA
- Department of Environmental Health Sciences, University at Albany, State University of New York, Albany, New York, USA
| | - Wenjie Lyu
- Department of Pediatrics, New York University (NYU) Grossman School of Medicine, New York, New York, USA
- Department of Environmental Medicine, NYU Grossman School of Medicine, New York, New York, USA
| | - Jennifer L. Ames
- Division of Research, Kaiser Permanente Northern California, Oakland, California, USA
| | - Emily S. Barrett
- Department of Biostatistics and Epidemiology, Rutgers School of Public Health, Piscataway, New Jersey, USA
- Environmental and Occupational Health Sciences Institute, Rutgers, the State University of New Jersey, Piscataway, New Jersey, USA
| | - Theresa M. Bastain
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, California, USA
| | - Carrie V. Breton
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, California, USA
| | - Claudia Buss
- Department of Medical Psychology, Charité–Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- Department of Pediatrics, UC-Irvine School of Medicine, Orange, California, USA
| | - Lisa A. Croen
- Division of Research, Kaiser Permanente Northern California, Oakland, California, USA
| | - Anne L. Dunlop
- Department of Gynecology and Obstetrics, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Assiamira Ferrara
- Division of Research, Kaiser Permanente Northern California, Oakland, California, USA
| | - Akhgar Ghassabian
- Department of Pediatrics, New York University (NYU) Grossman School of Medicine, New York, New York, USA
- Department of Environmental Medicine, NYU Grossman School of Medicine, New York, New York, USA
- Department of Population Health, NYU Grossman School of Medicine, New York, New York, USA
| | - Julie B. Herbstman
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, New York, USA
| | - Ixel Hernandez-Castro
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, California, USA
| | - Irva Hertz-Picciotto
- Department of Public Health Sciences, University of California Davis (UC-Davis), Davis, California, USA
- Medical Investigations of Neurodevelopmental Disorders Institute, UC-Davis, Sacramento, California, USA
| | - Linda G. Kahn
- Department of Pediatrics, New York University (NYU) Grossman School of Medicine, New York, New York, USA
- Department of Population Health, NYU Grossman School of Medicine, New York, New York, USA
| | - Margaret R. Karagas
- Department of Epidemiology, Dartmouth Geisel School of Medicine, Lebanon, New Hampshire, USA
| | - Jordan R. Kuiper
- Department of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Cindy T. McEvoy
- Department of Pediatrics, Oregon Health & Science University, Portland, Oregon, USA
| | - John D. Meeker
- Department of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, Michigan, USA
| | - Rachel Morello-Frosch
- Department of Environmental Science, Policy and Management and School of Public Health, UC-Berkeley, Berkeley, California, USA
| | - Amy M. Padula
- Program on Reproductive Health and the Environment, Department of Obstetrics, Gynecology and Reproductive Sciences, University of California, San Francisco, San Francisco, California, USA
| | - Megan E. Romano
- Department of Epidemiology, Dartmouth Geisel School of Medicine, Lebanon, New Hampshire, USA
| | - Sheela Sathyanarayana
- Department of Pediatrics, University of Washington and Seattle Children’s Research Institute, Seattle, Washington, USA
| | - Susan Schantz
- Beckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, Urbana, Illinois, USA
| | - Rebecca J. Schmidt
- Department of Public Health Sciences, University of California Davis (UC-Davis), Davis, California, USA
- Medical Investigations of Neurodevelopmental Disorders Institute, UC-Davis, Sacramento, California, USA
| | - Hyagriv Simhan
- Department of Obstetrics, Gynecology, and Reproductive Sciences, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Anne P. Starling
- Department of Epidemiology, Gillings School of Global Public Health, UNC-Chapel Hill, Chapel Hill, North Carolina, USA
- Center for Lifecourse Epidemiology of Adiposity and Diabetes, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Frances A. Tylavsky
- Department of Preventive Medicine, University of Tennessee Health Science Center, Memphis, Tennessee, USA
| | - Heather E. Volk
- Department of Mental Health, Johns Hopkins University, Baltimore, Maryland, USA
| | - Tracey J. Woodruff
- Program on Reproductive Health and the Environment, Department of Obstetrics, Gynecology and Reproductive Sciences, University of California, San Francisco, San Francisco, California, USA
| | - Yeyi Zhu
- Division of Research, Kaiser Permanente Northern California, Oakland, California, USA
| | - Deborah H. Bennett
- Department of Public Health Sciences, University of California Davis (UC-Davis), Davis, California, USA
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23
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Vänni P, Tejesvi MV, Paalanne N, Aagaard K, Ackermann G, Camargo CA, Eggesbø M, Hasegawa K, Hoen AG, Karagas MR, Kolho KL, Laursen MF, Ludvigsson J, Madan J, Ownby D, Stanton C, Stokholm J, Tapiainen T. Machine-learning analysis of cross-study samples according to the gut microbiome in 12 infant cohorts. mSystems 2023; 8:e0036423. [PMID: 37874156 PMCID: PMC10734493 DOI: 10.1128/msystems.00364-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Accepted: 09/13/2023] [Indexed: 10/25/2023] Open
Abstract
IMPORTANCE There are challenges in merging microbiome data from diverse research groups due to the intricate and multifaceted nature of such data. To address this, we utilized a combination of machine-learning (ML) models to analyze 16S sequencing data from a substantial set of gut microbiome samples, sourced from 12 distinct infant cohorts that were gathered prospectively. Our initial focus was on the mode of delivery due to its prior association with changes in infant gut microbiomes. Through ML analysis, we demonstrated the effective merging and comparison of various gut microbiome data sets, facilitating the identification of robust microbiome biomarkers applicable across varied study populations.
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Affiliation(s)
- Petri Vänni
- Research Unit of Clinical Medicine, University of Oulu, Oulu, Finland
| | - Mysore V. Tejesvi
- Research Unit of Clinical Medicine, University of Oulu, Oulu, Finland
- Ecology and Genetics, Faculty of Science, University of Oulu, Oulu, Finland
| | - Niko Paalanne
- Research Unit of Clinical Medicine, University of Oulu, Oulu, Finland
- Department of Pediatrics and Adolescent Medicine, Oulu University Hospital, University of Oulu, Oulu, Finland
| | - Kjersti Aagaard
- Department of Obstetrics & Gynecology, Division of Maternal-Fetal Medicine, Baylor College of Medicine and Texas Children’s Hospital, Houston, Texas, USA
| | - Gail Ackermann
- Department of Pediatrics, University of California, San Diego, California, USA
| | - Carlos A. Camargo
- Department of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Merete Eggesbø
- Department of Climate and Environmental Health, Norwegian Institute of Public Health, Oslo, Norway
- Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway
| | - Kohei Hasegawa
- Department of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Anne G. Hoen
- Department of Epidemiology, Geisel School of Medicine, Dartmouth College, Hanover, New Hampshire, USA
| | - Margaret R. Karagas
- Department of Epidemiology, Geisel School of Medicine, Dartmouth College, Hanover, New Hampshire, USA
| | - Kaija-Leena Kolho
- Children’s Hospital, University of Helsinki and HUS, Helsinki, Finland
| | - Martin F. Laursen
- National Food Institute, Technical University of Denmark, Lyngby, Denmark
| | - Johnny Ludvigsson
- Crown Princess Victoria Children’s Hospital and Division of Pediatrics, Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden
| | - Juliette Madan
- Department of Psychiatry, Dartmouth Hitchcock Medical Center, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire, USA
- Department of Pediatrics, Dartmouth Hitchcock Medical Center, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire, USA
| | - Dennis Ownby
- Medical College of Georgia, Augusta, Georgia, USA
| | - Catherine Stanton
- Teagasc Food Research Centre & APC Microbiome Ireland, Moorepark, Fermoy, Co. Cork, Ireland
| | - Jakob Stokholm
- Herlev and Gentofte Hospital, University of Copenhagen, Copenhagen, Denmark
- Department of Food Science, University of Copenhagen, Copenhagen, Denmark
| | - Terhi Tapiainen
- Research Unit of Clinical Medicine, University of Oulu, Oulu, Finland
- Department of Obstetrics & Gynecology, Division of Maternal-Fetal Medicine, Baylor College of Medicine and Texas Children’s Hospital, Houston, Texas, USA
- Biocenter Oulu, University of Oulu, Oulu, Finland
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24
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Bulka CM, Everson TM, Burt AA, Marsit CJ, Karagas MR, Boyle KE, Niemiec S, Kechris K, Davidson EJ, Yang IV, Feinberg JI, Volk HE, Ladd-Acosta C, Breton CV, O’Shea TM, Fry RC. Sex-based differences in placental DNA methylation profiles related to gestational age: an NIH ECHO meta-analysis. Epigenetics 2023; 18:2179726. [PMID: 36840948 PMCID: PMC9980626 DOI: 10.1080/15592294.2023.2179726] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Revised: 12/08/2022] [Accepted: 12/21/2022] [Indexed: 02/26/2023] Open
Abstract
The placenta undergoes many changes throughout gestation to support the evolving needs of the foetus. There is also a growing appreciation that male and female foetuses develop differently in utero, with unique epigenetic changes in placental tissue. Here, we report meta-analysed sex-specific associations between gestational age and placental DNA methylation from four cohorts in the National Institutes of Health (NIH) Environmental influences on Child Health Outcomes (ECHO) Programme (355 females/419 males, gestational ages 23-42 weeks). We identified 407 cytosine-guanine dinucleotides (CpGs) in females and 794 in males where placental methylation levels were associated with gestational age. After cell-type adjustment, 55 CpGs in females and 826 in males were significant. These were enriched for biological processes critical to the immune system in females and transmembrane transport in males. Our findings are distinct between the sexes: in females, associations with gestational age are largely explained by differences in placental cellular composition, whereas in males, gestational age is directly associated with numerous alterations in methylation levels.
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Affiliation(s)
- Catherine M. Bulka
- Department of Environmental Sciences and Engineering, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- College of Public Health, University of South Florida, Tampa, FL, USA
| | - Todd M. Everson
- Gangarosa Department of Environmental Health, Emory University Rollins School of Public Health, Atlanta, GA, USA
| | - Amber A. Burt
- Gangarosa Department of Environmental Health, Emory University Rollins School of Public Health, Atlanta, GA, USA
| | - Carmen J. Marsit
- Gangarosa Department of Environmental Health, Emory University Rollins School of Public Health, Atlanta, GA, USA
| | - Margaret R. Karagas
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, Hanover, NH, USA
| | - Kristen E. Boyle
- Section of Nutrition, Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Colorado School of Public Health, The Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, Aurora, CO, USA
| | - Sierra Niemiec
- Colorado School of Public Health, The Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, Aurora, CO, USA
| | - Katerina Kechris
- Colorado School of Public Health, The Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, Aurora, CO, USA
- Department of Biostatistics & Informatics, Colorado School of Public Health, Aurora, CO, USA
| | | | - Ivana V. Yang
- Colorado School of Public Health, The Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, Aurora, CO, USA
- Department of Medicine, University of Colorado School of Medicine, Aurora, CO, USA
| | - Jason I. Feinberg
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, ML, USA
| | - Heather E. Volk
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, ML, USA
| | - Christine Ladd-Acosta
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, ML, USA
| | - Carrie V. Breton
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA
| | - T. Michael O’Shea
- Department of Pediatrics, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Rebecca C. Fry
- Department of Environmental Sciences and Engineering, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Institute for Environmental Health Solutions, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Curriculum in Toxicology and Environmental Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
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25
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Signes-Pastor AJ, Notario-Barandiaran L, Guill M, Madan J, Baker E, Jackson B, Karagas MR. Prenatal exposure to metal mixtures and lung function in children from the New Hampshire birth cohort study. Environ Res 2023; 238:117234. [PMID: 37793590 DOI: 10.1016/j.envres.2023.117234] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/14/2023] [Revised: 09/13/2023] [Accepted: 09/14/2023] [Indexed: 10/06/2023]
Abstract
Prenatal exposure to metals/metalloids, even at common US population levels, may pose risks to fetal health, and affect children's lung function. Yet, the combined effects of simultaneous prenatal exposures on children's lung function remain largely unexplored. This study analyzed 11 metals (As speciation, Cd, Co, Cu, Mo, Ni, Pb, Sb, Se, Sn, Zn) in maternal urine during weeks 24-28 of gestation and evaluated lung function, including forced vital capacity (FVC) and forced expiratory volume in the first second of expiration (FEV1), in 316 US mother-child pairs at around age 7. We used Bayesian Kernel Machine Regression (BKMR), weighted quantile sum regression (WQSR), and multiple linear regression to examine the association between metal mixture exposure and children's lung function, adjusting for maternal smoking, child age, sex, and height. In BKMR models assessing combined exposure effects, limited evidence of metal non-linearity or interactions was found. Nevertheless, Co, As species, and Pb showed a negative association, while Mo exhibited a positive association with children's FVC and FEV1, with other metals held constant at their medians. The weighted index, from WQSR analysis assessing the cumulative impact of all metals, highlighted prenatal Mo with the highest positive weight, and Co, As, and Sb with the most substantial negative weights on children's FVC and FEV1. Urinary Co and Pb were negatively associated with FVC (β = -0.09, 95% confidence interval (CI) (-0.18; -0.01) and β = -0.07, 95% CI (-0.13; 0.00), respectively). Co was also negatively associated with FEV1 (β = -0.09, 95% CI (-0.18; 0.00). There was a negative association between As and FVC, and a positive association between Mo and both FVC and FEV1, though with wide confidence intervals. Our findings suggest that prenatal trace element exposures may impact children's lung function, emphasizing the importance of reducing toxic exposures and maintaining adequate nutrient levels.
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Affiliation(s)
- Antonio J Signes-Pastor
- Department of Epidemiology, Geisel School of Medicine, Dartmouth College, NH, USA; Unidad de Epidemiología de la Nutrición. Universidad Miguel Hernández, Alicante, Spain; CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Instituto de Investigación Sanitaria y Biomédica de Alicante (ISABIAL), Spain.
| | - Leyre Notario-Barandiaran
- Department of Epidemiology, Geisel School of Medicine, Dartmouth College, NH, USA; Unidad de Epidemiología de la Nutrición. Universidad Miguel Hernández, Alicante, Spain; Instituto de Investigación Sanitaria y Biomédica de Alicante (ISABIAL), Spain
| | - Margaret Guill
- Department of Pediatrics, Dartmouth College, Lebanon, NH, USA
| | - Juliette Madan
- Department of Pediatrics, Dartmouth College, Lebanon, NH, USA
| | - Emily Baker
- Department of Obstetrics & Gynecology, Division of Maternal Fetal Medicine, Dartmouth-Hitchcock Medical Center, Lebanon, NH, USA
| | - Brian Jackson
- Department of Biological Sciences, Dartmouth College, Hanover, NH, USA
| | - Margaret R Karagas
- Department of Epidemiology, Geisel School of Medicine, Dartmouth College, NH, USA.
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26
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Thierry KL, Hockett CW, Elliott AJ, Wosu AC, Chandran A, Blackwell CK, Margolis AE, Karagas MR, Vega CV, Duarte CS, Camargo CA, Lester BM, McGowan EC, Ferrara A, O'Connor TG, McEvoy CT, Hipwell AE, Leve LD, Ganiban JM, Comstock SS, Dabelea D. Associations between COVID-19-related family hardships/distress and children's Adverse Childhood Experiences during the pandemic: The Environmental influences on Child Health Outcomes (ECHO) program. Child Abuse Negl 2023; 146:106510. [PMID: 37922614 DOI: 10.1016/j.chiabu.2023.106510] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/11/2023] [Revised: 10/02/2023] [Accepted: 10/08/2023] [Indexed: 11/07/2023]
Abstract
BACKGROUND Economic hardships imposed by the pandemic could have implications for children's experiences of adversity in the home, or Adverse Childhood Experiences (ACEs). OBJECTIVE This observational cohort study examined associations between COVID-19-related hardships and distress (e.g., job loss, caregiver stress) and the cumulative number of child ACEs reported by caregivers during the pandemic (i.e., March 1, 2020-February 28, 2022). PARTICIPANTS AND SETTING The study included children (N = 4345; median age = 6.0 years, interquartile range = 4-9 years) and their parents/caregivers who participated in the NIH-funded Environmental influences in Child Health Outcomes (ECHO) Program. METHODS We described socio-demographic characteristics and pandemic-related family hardships/distress and cumulative child ACE scores reported during pre-pandemic and pandemic periods. We used negative binomial regression models to evaluate associations between pandemic-related family hardships and cumulative child ACE scores reported during the pandemic. RESULTS Each caregiver-reported hardship/distress was associated with higher child ACE scores reported during the pandemic. After accounting for pre-pandemic child ACE scores, moderate and severe symptoms of pandemic-related traumatic stress among caregivers were associated with 108 % and 141 % higher child ACE scores reported during the pandemic, respectively, compared with no or low caregiver symptoms. In addition, finance-related stress during the pandemic was associated with 47 % higher child ACE scores. After adjusting for pre-pandemic child experiences of neglect, most sources of stress remained significantly associated with higher child ACE scores reported during the pandemic, particularly severe/very severe symptoms of pandemic-related traumatic stress among caregivers. Findings held for children with no known pre-pandemic ACEs. CONCLUSIONS This research suggests that caregivers experiencing financial hardships and those with severe pandemic-related traumatic stress may require additional support systems during stressful events.
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Affiliation(s)
| | - Christine W Hockett
- Department of Pediatrics, University of South Dakota School of Medicine, Vermillion, SD, USA; Avera Research Institute, Sioux Falls, SD, USA
| | | | - Adaeze C Wosu
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Aruna Chandran
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Courtney K Blackwell
- Department of Medical Social Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Amy E Margolis
- Department of Psychiatry, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA
| | | | - Carmen Velez Vega
- Social Sciences Department, School of Public Health, University of Puerto Rico, San Juan, PR
| | - Cristiane S Duarte
- Columbia University Irving Medical Center - New York State Psychiatric Institute, New York, NY, USA
| | | | - Barry M Lester
- Department of Pediatrics, Brown University, Providence, RI, USA
| | | | - Assiamira Ferrara
- Kaiser Permanente Northern California Division of Research, Oakland, CA, USA
| | - Thomas G O'Connor
- Departments of Psychiatry, Psychology, Neuroscience and Obstetrics & Gynecology, University of Rochester, Rochester, NY, USA
| | - Cindy T McEvoy
- Department of Pediatrics, Oregon Health & Science University, Portland, OR, USA
| | - Alison E Hipwell
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Leslie D Leve
- Department of Education, University of Oregon, Eugene, OR, USA
| | - Jody M Ganiban
- Department of Psychological and Behavioral Sciences, The George Washington University, Washington, DC, USA
| | - Sarah S Comstock
- Department of Food Science and Human Nutrition, Michigan State University, East Lansing, MI, USA
| | - Dana Dabelea
- University of Colorado Anschutz Medical Campus, Aurora, CO, USA
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27
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Bragg MG, Westlake M, Alshawabkeh AN, Bekelman TA, Camargo CA, Catellier DJ, Comstock SS, Dabelea D, Dunlop AL, Hedderson MM, Hockett CW, Karagas MR, Keenan K, Kelly NR, Kerver JM, MacKenzie D, Mahabir S, Maldonado LE, McCormack LA, Melough MM, Mueller NT, Nelson ME, O’Connor TG, Oken E, O’Shea TM, Switkowski KM, Sauder KA, Wright RJ, Wright RO, Zhang X, Zhu Y, Lyall K. Opportunities for Examining Child Health Impacts of Early-Life Nutrition in the ECHO Program: Maternal and Child Dietary Intake Data from Pregnancy to Adolescence. Curr Dev Nutr 2023; 7:102019. [PMID: 38035205 PMCID: PMC10681943 DOI: 10.1016/j.cdnut.2023.102019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Revised: 10/10/2023] [Accepted: 10/11/2023] [Indexed: 12/02/2023] Open
Abstract
Background Longitudinal measures of diet spanning pregnancy through adolescence are needed from a large, diverse sample to advance research on the effect of early-life nutrition on child health. The Environmental influences on Child Health Outcomes (ECHO) Program, which includes 69 cohorts, >33,000 pregnancies, and >31,000 children in its first 7-y cycle, provides such data, now publicly available. Objectives This study aimed to describe dietary intake data available in the ECHO Program as of 31 August, 2022 (end of year 6 of Cycle 1) from pregnancy through adolescence, including estimated sample sizes, and to highlight the potential for future analyses of nutrition and child health. Methods We identified and categorized ECHO Program dietary intake data, by assessment method, participant (pregnant person or child), and life stage of data collection. We calculated the number of maternal-child dyads with dietary data and the number of participants with repeated measures. We identified diet-related variables derived from raw dietary intake data and nutrient biomarkers measured from biospecimens. Results Overall, 66 cohorts (26,941 pregnancies, 27,103 children, including 22,712 dyads) across 34 US states/territories provided dietary intake data. Dietary intake assessments included 24-h recalls (1548 pregnancies and 1457 children), food frequency questionnaires (4902 and 4117), dietary screeners (8816 and 23,626), and dietary supplement use questionnaires (24,798 and 26,513). Repeated measures were available for ∼70%, ∼30%, and ∼15% of participants with 24-h recalls, food frequency questionnaires, and dietary screeners, respectively. The available diet-related variables describe nutrient and food intake, diet patterns, and breastfeeding practices. Overall, 17% of participants with dietary intake data had measured nutrient biomarkers. Conclusions ECHO cohorts have collected longitudinal dietary intake data spanning pregnancy through adolescence from a geographically, socioeconomically, and ethnically diverse US sample. As data collection continues in Cycle 2, these data present an opportunity to advance the field of nutrition and child health.
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Affiliation(s)
- Megan G. Bragg
- AJ Drexel Autism Institute, Drexel University, Philadelphia, PA, United States
| | - Matt Westlake
- RTI International, Research Triangle Park, NC, United States
| | | | - Traci A. Bekelman
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
| | - Carlos A. Camargo
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | | | - Sarah S. Comstock
- Department of Food Science and Human Nutrition, Michigan State University, East Lansing, MI, United States
| | - Dana Dabelea
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
| | - Anne L. Dunlop
- Department of Gynecology & Obstetrics, Emory University School of Medicine, Atlanta, GA, United States
| | - Monique M. Hedderson
- Kaiser Permanente Northern California Division of Research, Oakland, CA, United States
| | - Christine W. Hockett
- Avera Research Institute, Sioux Falls, SD, United States
- Department of Pediatrics, University of South Dakota School of Medicine, Sioux Falls, SD, United States
| | - Margaret R. Karagas
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, Hanover, NH, United States
| | - Kate Keenan
- Department of Psychiatry & Behavioral Neuroscience, University of Chicago, Chicago, IL, United States
| | - Nichole R. Kelly
- Department of Counseling Psychology and Human Services, College of Education, University of Oregon, Eugene, OR, United States
| | - Jean M. Kerver
- Departments of Epidemiology & Biostatistics and Pediatrics & Human Development, College of Human Medicine, Michigan State University, East Lansing, MI, United States
| | - Debra MacKenzie
- Community Environmental Health Program, College of Pharmacy, University of New Mexico Health Sciences Center, Albuquerque, NM, United States
| | - Somdat Mahabir
- National Cancer Institute, National Institutes of Health, Bethesda, MD, United States
| | - Luis E. Maldonado
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States
| | - Lacey A. McCormack
- Avera Research Institute, Sioux Falls, SD, United States
- Department of Pediatrics, University of South Dakota School of Medicine, Sioux Falls, SD, United States
| | - Melissa M. Melough
- Department of Health Behavior and Nutrition Sciences, University of Delaware, Newark, DE, United States
- Department of Child Health, Behavior and Development, Seattle Children’s Research Institute, Seattle, WA, United States
| | - Noel T. Mueller
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, United States
| | | | - Thomas G. O’Connor
- Departments of Psychiatry, Neuroscience, Obstetrics and Gynecology, University of Rochester, Rochester, NY, United States
| | - Emily Oken
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, United States
| | - T Michael O’Shea
- Department of Pediatrics, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, United States
| | - Karen M. Switkowski
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, United States
| | - Katherine A. Sauder
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
| | - Rosalind J. Wright
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Robert O. Wright
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Xueying Zhang
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Yeyi Zhu
- Kaiser Permanente Northern California Division of Research, Oakland, CA, United States
| | - Kristen Lyall
- AJ Drexel Autism Institute, Drexel University, Philadelphia, PA, United States
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28
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Song Q, diFlorio-Alexander RM, Sieberg RT, Dwan D, Boyce W, Stumetz K, Patel SD, Karagas MR, MacKenzie TA, Hassanpour S. Automated classification of fat-infiltrated axillary lymph nodes on screening mammograms. Br J Radiol 2023; 96:20220835. [PMID: 37751215 PMCID: PMC10607412 DOI: 10.1259/bjr.20220835] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2022] [Revised: 06/06/2023] [Accepted: 07/16/2023] [Indexed: 09/27/2023] Open
Abstract
OBJECTIVE Fat-infiltrated axillary lymph nodes (LNs) are unique sites for ectopic fat deposition. Early studies showed a strong correlation between fatty LNs and obesity-related diseases. Confirming this correlation requires large-scale studies, hindered by scarce labeled data. With the long-term goal of developing a rapid and generalizable tool to aid data labeling, we developed an automated deep learning (DL)-based pipeline to classify the status of fatty LNs on screening mammograms. METHODS Our internal data set included 886 mammograms from a tertiary academic medical institution, with a binary status of the fat-infiltrated LNs based on the size and morphology of the largest visible axillary LN. A two-stage DL model training and fine-tuning pipeline was developed to classify the fat-infiltrated LN status using the internal training and development data set. The model was evaluated on a held-out internal test set and a subset of the Digital Database for Screening Mammography. RESULTS Our model achieved 0.97 (95% CI: 0.94-0.99) accuracy and 1.00 (95% CI: 1.00-1.00) area under the receiver operator characteristic curve on 264 internal testing mammograms, and 0.82 (95% CI: 0.77-0.86) accuracy and 0.87 (95% CI: 0.82-0.91) area under the receiver operator characteristic curve on 70 external testing mammograms. CONCLUSION This study confirmed the feasibility of using a DL model for fat-infiltrated LN classification. The model provides a practical tool to identify fatty LNs on mammograms and to allow for future large-scale studies to evaluate the role of fatty LNs as an imaging biomarker of obesity-associated pathologies. ADVANCES IN KNOWLEDGE Our study is the first to classify fatty LNs using an automated DL approach.
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Affiliation(s)
- Qingyuan Song
- Department of Biomedical Data Science, Geisel School of Medicine, Dartmouth College, Lebanon, New Hampshire, United States
| | | | - Ryan T. Sieberg
- Department of Radiology, School of Medicine, University of California, San Francisco, California, United States
| | - Dennis Dwan
- Department of Internal Medicine, Carney Hospital, Dorchester, Massachusetts, United States
| | - William Boyce
- Geisel School of Medicine, Dartmouth College, Lebanon, New Hampshire, United States
| | - Kyle Stumetz
- Department of Radiology, Dartmouth-Hitchcock Medical Center, Lebanon, New Hampshire, United States
| | - Sohum D. Patel
- Department of Radiology, Dartmouth-Hitchcock Medical Center, Lebanon, New Hampshire, United States
| | - Margaret R. Karagas
- Department of Epidemiology, Geisel School of Medicine, Dartmouth College, Lebanon, New Hampshire, United States
| | - Todd A. MacKenzie
- Department of Biomedical Data Science, Geisel School of Medicine, Dartmouth College, Lebanon, New Hampshire, United States
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Lewis JV, Knapp EA, Bakre S, Dickerson AS, Bastain TM, Bendixsen C, Bennett DH, Camargo CA, Cassidy-Bushrow AE, Colicino E, D'Sa V, Dabelea D, Deoni S, Dunlop AL, Elliott AJ, Farzan SF, Ferrara A, Fry RC, Hartert T, Howe CG, Kahn LG, Karagas MR, Ma TF, Koinis-Mitchell D, MacKenzie D, Maldonado LE, Merced-Nieves FM, Neiderhiser JM, Nigra AE, Niu Z, Nozadi SS, Rivera-Núñez Z, O'Connor TG, Osmundson S, Padula AM, Peterson AK, Sherris AR, Starling A, Straughen JK, Wright RJ, Zhao Q, Kress AM. Associations between area-level arsenic exposure and adverse birth outcomes: An Echo-wide cohort analysis. Environ Res 2023; 236:116772. [PMID: 37517496 PMCID: PMC10592196 DOI: 10.1016/j.envres.2023.116772] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/06/2023] [Revised: 06/20/2023] [Accepted: 07/27/2023] [Indexed: 08/01/2023]
Abstract
BACKGROUND Drinking water is a common source of exposure to inorganic arsenic. In the US, the Safe Drinking Water Act (SDWA) was enacted to protect consumers from exposure to contaminants, including arsenic, in public water systems (PWS). The reproductive effects of preconception and prenatal arsenic exposure in regions with low to moderate arsenic concentrations are not well understood. OBJECTIVES This study examined associations between preconception and prenatal exposure to arsenic violations in water, measured via residence in a county with an arsenic violation in a regulated PWS during pregnancy, and five birth outcomes: birth weight, gestational age at birth, preterm birth, small for gestational age (SGA), and large for gestational age (LGA). METHODS Data for arsenic violations in PWS, defined as concentrations exceeding 10 parts per billion, were obtained from the Safe Drinking Water Information System. Participants of the Environmental influences on Child Health Outcomes Cohort Study were matched to arsenic violations by time and location based on residential history data. Multivariable, mixed effects regression models were used to assess the relationship between preconception and prenatal exposure to arsenic violations in drinking water and birth outcomes. RESULTS Compared to unexposed infants, continuous exposure to arsenic from three months prior to conception through birth was associated with 88.8 g higher mean birth weight (95% CI: 8.2, 169.5), after adjusting for individual-level confounders. No statistically significant associations were observed between any preconception or prenatal violations exposure and gestational age at birth, preterm birth, SGA, or LGA. CONCLUSIONS Our study did not identify associations between preconception and prenatal arsenic exposure, defined by drinking water exceedances, and adverse birth outcomes. Exposure to arsenic violations in drinking water was associated with higher birth weight. Future studies would benefit from more precise geodata of water system service areas, direct household drinking water measurements, and exposure biomarkers.
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Affiliation(s)
- Jonathan V Lewis
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
| | - Emily A Knapp
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
| | - Shivani Bakre
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
| | - Aisha S Dickerson
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
| | - Theresa M Bastain
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA
| | - Casper Bendixsen
- Marshfield Clinic Research Institute, Marshfield Clinic Health System, Marshfield, WI, USA
| | - Deborah H Bennett
- Department of Public Health Sciences, University of California Davis, Davis, CA, USA
| | - Carlos A Camargo
- Department of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | | | - Elena Colicino
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Institute for Exposomic Research, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Viren D'Sa
- Department of Pediatrics, Rhode Island Hospital, Providence, RI, USA
| | - Dana Dabelea
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Denver, CO, USA
| | - Sean Deoni
- Bill and Melinda Gates Foundation, Seattle, WA, USA
| | - Anne L Dunlop
- Department of Gynecology and Obstetrics, Emory University School of Medicine, Atlanta, GA, USA
| | - Amy J Elliott
- Avera Research Institute, Sioux Falls, SD, USA; Department of Pediatrics, University of South Dakota School of Medicine, Vermillion, SD, USA
| | - Shohreh F Farzan
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA
| | - Assiamira Ferrara
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Rebecca C Fry
- Department of Environmental Sciences and Engineering, University of North Carolina Gillings School of Global Public Health, Chapel Hill, NC, USA
| | - Tina Hartert
- Departments of Medicine and Pediatrics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Caitlin G Howe
- Dartmouth College Geisel School of Medicine, Hanover, NH, USA
| | - Linda G Kahn
- Departments of Pediatrics and Population Health, NYU Grossman School of Medicine, New York, NY, USA
| | | | - Teng-Fei Ma
- Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, MI, USA
| | | | - Debra MacKenzie
- Community Environmental Health Program, University of New Mexico College of Pharmacy, Health Sciences Center, Albuquerque, NM, USA
| | - Luis E Maldonado
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA
| | - Francheska M Merced-Nieves
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | | | - Anne E Nigra
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, USA
| | - Zhongzheng Niu
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA
| | - Sara S Nozadi
- Community Environmental Health Program, College of Pharmacy, Health Sciences Center, Albuquerque, NM, USA
| | - Zorimar Rivera-Núñez
- Department of Biostatistics and Epidemiology, Rutgers School of Public Health, New Brunswick, NJ, USA
| | - Thomas G O'Connor
- Departments of Psychiatry, Neuroscience, Obstetrics and Gynecology, University of Rochester, Rochester, NY, USA
| | - Sarah Osmundson
- Department of OB/GYN, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Amy M Padula
- Department of Gynecology, Obstetrics and Reproductive Sciences, University of California San Francisco School of Medicine, San Francisco, CA, USA
| | - Alicia K Peterson
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Allison R Sherris
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA, USA
| | - Anne Starling
- Department of Epidemiology, University of North Carolina Gillings School of Global Public Health, Chapel Hill, NC, USA
| | | | - Rosalind J Wright
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Institute for Exposomic Research, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Qi Zhao
- Department of Preventive Medicine, University of Tennessee Health Science Center College of Medicine, Memphis, TN, USA
| | - Amii M Kress
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA.
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Blackwell CK, Sherlock P, Jackson KL, Hofheimer JA, Cella D, Algermissen MA, Alshawabkeh AN, Avalos LA, Bastain T, Blair C, Enlow MB, Brennan PA, Breton C, Bush NR, Chandran A, Collazo S, Conradt E, Crowell SE, Deoni S, Elliott AJ, Frazier JA, Ganiban JM, Gold DR, Herbstman JB, Joseph C, Karagas MR, Lester B, Lasky-Su JA, Leve LD, LeWinn KZ, Mason WA, McGowan EC, McKee KS, Miller RL, Neiderhiser JM, O’Connor TG, Oken E, O’Shea TM, Pagliaccio D, Schmidt RJ, Singh AM, Stanford JB, Trasande L, Wright RJ, Duarte CS, Margolis AE. Development and psychometric validation of the Pandemic-Related Traumatic Stress Scale for children and adults. Psychol Assess 2023; 35:1054-1067. [PMID: 37902671 PMCID: PMC10773574 DOI: 10.1037/pas0001211] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/31/2023]
Abstract
To assess the public health impact of the COVID-19 pandemic on mental health, investigators from the National Institutes of Health Environmental influences on Child Health Outcomes (ECHO) research program developed the Pandemic-Related Traumatic Stress Scale (PTSS). Based on the Diagnostic and Statistical Manual of Mental Disorders, 5th Edition (DSM-5) acute stress disorder symptom criteria, the PTSS is designed for adolescent (13-21 years) and adult self-report and caregiver-report on 3-12-year-olds. To evaluate psychometric properties, we used PTSS data collected between April 2020 and August 2021 from non-pregnant adult caregivers (n = 11,483), pregnant/postpartum individuals (n = 1,656), adolescents (n = 1,795), and caregivers reporting on 3-12-year-olds (n = 2,896). We used Mokken scale analysis to examine unidimensionality and reliability, Pearson correlations to evaluate relationships with other relevant variables, and analyses of variance to identify regional, age, and sex differences. Mokken analysis resulted in a moderately strong, unidimensional scale that retained nine of the original 10 items. We detected small to moderate positive associations with depression, anxiety, and general stress, and negative associations with life satisfaction. Adult caregivers had the highest PTSS scores, followed by adolescents, pregnant/postpartum individuals, and children. Caregivers of younger children, females, and older youth had higher PTSS scores compared to caregivers of older children, males, and younger youth, respectively. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
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Affiliation(s)
- Courtney K. Blackwell
- Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine
| | - Phillip Sherlock
- Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine
| | - Kathryn L. Jackson
- Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine
| | - Julie A. Hofheimer
- Department of Pediatrics, University of North Carolina School of Medicine
| | - David Cella
- Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine
| | | | - Akram N. Alshawabkeh
- Department of Civil and Environmental Engineering, College of Engineering, Northeastern University
| | - Lyndsay A. Avalos
- Kaiser Permanente North California, Division of Research, Oakland, California, United States
| | - Tracy Bastain
- Clinical Population and Public Health Sciences, Keck School of Medicine of the University of Southern California
| | - Clancy Blair
- New York University Grossman School of Medicine
- Department of Population Health, New York University Grossman School of Medicine
| | - Michelle Bosquet Enlow
- Boston Children’s Hospital, Boston, Massachusetts, United States
- Department of Psychiatry, Harvard Medical School
| | | | - Carrie Breton
- Clinical Population and Public Health Sciences, Keck School of Medicine of the University of Southern California
| | - Nicole R. Bush
- Department of Psychiatry, University of California, San Francisco
| | - Aruna Chandran
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health
| | - Shaina Collazo
- Icahn School of Medicine at Mount Sinai
- Department of Pediatrics, Icahn School of Medicine at Mount Sinai
| | | | | | - Sean Deoni
- Bill and Melinda Gates Foundation, Seattle, Washington, United States
| | - Amy J. Elliott
- Avera Research Institute, Sioux Falls, South Dakota, United States
- Department of Pediatrics, University of South Dakota School of Medicine
| | - Jean A. Frazier
- Department of Psychiatry, University of Massachusetts Chan Medical School
| | - Jody M. Ganiban
- Department of Clinical/Developmental Psychology, George Washington University
| | - Diane R. Gold
- Department of Psychiatry, Harvard Medical School
- Department of Medicine, Harvard Medical School
- Harvard University T.H. Chan School of Public Health
- Department of Environmental Health, Harvard University T.H. Chan School of Public Health
- Brigham and Women’s Hospital, Boston, Massachusetts, United States
| | - Julie B. Herbstman
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health
| | | | | | - Barry Lester
- Women & Infants Hospital, Providence, Rhode Island, United States
- Department of Psychiatry and Human Behavior, Brown University
- Department of Pediatrics, Brown University
| | - Jessica A. Lasky-Su
- Department of Psychiatry, Harvard Medical School
- Department of Medicine, Harvard Medical School
- Brigham and Women’s Hospital, Boston, Massachusetts, United States
| | - Leslie D. Leve
- Department of Counseling Psychology and Human Services, University of Oregon College of Education
| | - Kaja Z. LeWinn
- Department of Psychiatry, University of California, San Francisco
| | - W. Alex Mason
- Department of Child, Youth, and Family Studies, College of Education and Human Sciences, University of Nebraska—Lincoln
| | - Elisabeth C. McGowan
- Women & Infants Hospital, Providence, Rhode Island, United States
- Department of Pediatrics, Brown University
| | - Kimberly S. McKee
- Department of Family Medicine, University of Michigan Medical School
| | - Rachel L. Miller
- Icahn School of Medicine at Mount Sinai
- Department of Medicine, Icahn School of Medicine at Mount Sinai
| | | | | | - Emily Oken
- Department of Psychiatry, Harvard Medical School
- Harvard University T.H. Chan School of Public Health
- Brigham and Women’s Hospital, Boston, Massachusetts, United States
- Department of Population Medicine, Harvard Medical School
- Department of Nutrition, Harvard University T.H. Chan School of Public Health
- Harvard Pilgrim Health Care Institute, Boston, Massachusetts, United States
| | - T. Michael O’Shea
- Department of Pediatrics, University of North Carolina School of Medicine
| | - David Pagliaccio
- Columbia University Irving Medical Center
- New York State Psychiatric Institute, New York, New York, United States
| | - Rebecca J. Schmidt
- Department of Public Health Services, University of California—Davis School of Medicine
| | - Anne Marie Singh
- Department of Pediatrics, University of Wisconsin School of Medicine and Public Health
| | - Joseph B. Stanford
- Department of Family and Preventative Medicine, University of Utah School of Medicine
| | - Leonardo Trasande
- New York University Grossman School of Medicine
- Department of Pediatrics, New York University Grossman School of Medicine
| | - Rosalind J. Wright
- Icahn School of Medicine at Mount Sinai
- Department of Pediatrics, Icahn School of Medicine at Mount Sinai
| | - Cristiane S. Duarte
- Columbia University Irving Medical Center
- Department of Psychiatry, Columbia University
| | - Amy E. Margolis
- Columbia University Irving Medical Center
- Department of Psychiatry, Columbia University
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Chen JQ, Salas LA, Wiencke JK, Koestler DC, Molinaro AM, Andrew AS, Seigne JD, Karagas MR, Kelsey KT, Christensen BC. Genome-Scale Methylation Analysis Identifies Immune Profiles and Age Acceleration Associations with Bladder Cancer Outcomes. Cancer Epidemiol Biomarkers Prev 2023; 32:1328-1337. [PMID: 37527159 PMCID: PMC10543967 DOI: 10.1158/1055-9965.epi-23-0331] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Revised: 06/06/2023] [Accepted: 07/28/2023] [Indexed: 08/03/2023] Open
Abstract
BACKGROUND Immune profiles have been associated with bladder cancer outcomes and may have clinical applications for prognosis. However, associations of detailed immune cell subtypes with patient outcomes remain underexplored and may contribute crucial prognostic information for better managing bladder cancer recurrence and survival. METHODS Bladder cancer case peripheral blood DNA methylation was measured using the Illumina HumanMethylationEPIC array. Extended cell-type deconvolution quantified 12 immune cell-type proportions, including memory, naïve T and B cells, and granulocyte subtypes. DNA methylation clocks determined biological age. Cox proportional hazards models tested associations of immune cell profiles and age acceleration with bladder cancer outcomes. The partDSA algorithm discriminated 10-year overall survival groups from clinical variables and immune cell profiles, and a semi-supervised recursively partitioned mixture model (SS-RPMM) with DNA methylation data was applied to identify a classifier for 10-year overall survival. RESULTS Higher CD8T memory cell proportions were associated with better overall survival [HR = 0.95, 95% confidence interval (CI) = 0.93-0.98], while higher neutrophil-to-lymphocyte ratio (HR = 1.36, 95% CI = 1.23-1.50), CD8T naïve (HR = 1.21, 95% CI = 1.04-1.41), neutrophil (HR = 1.04, 95% CI = 1.03-1.06) proportions, and age acceleration (HR = 1.06, 95% CI = 1.03-1.08) were associated with worse overall survival in patient with bladder cancer. partDSA and SS-RPMM classified five groups of subjects with significant differences in overall survival. CONCLUSIONS We identified associations between immune cell subtypes and age acceleration with bladder cancer outcomes. IMPACT The findings of this study suggest that bladder cancer outcomes are associated with specific methylation-derived immune cell-type proportions and age acceleration, and these factors could be potential prognostic biomarkers.
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Affiliation(s)
- Ji-Qing Chen
- Department of Epidemiology, Geisel School of Medicine, Dartmouth College, Lebanon, New Hampshire
| | - Lucas A. Salas
- Department of Epidemiology, Geisel School of Medicine, Dartmouth College, Lebanon, New Hampshire
| | - John K. Wiencke
- Department of Neurological Surgery, University of California San Francisco, San Francisco, California
| | - Devin C. Koestler
- Department of Biostatistics & Data Science, University of Kansas Medical Center, Kansas City, Kansas
| | - Annette M. Molinaro
- Department of Neurological Surgery, University of California San Francisco, San Francisco, California
| | - Angeline S. Andrew
- Department of Neurology, Geisel School of Medicine, Dartmouth College, Lebanon, New Hampshire
| | - John D. Seigne
- Department of Surgery, Section of Urology, Geisel School of Medicine, Dartmouth College, Lebanon, New Hampshire
| | - Margaret R. Karagas
- Department of Epidemiology, Geisel School of Medicine, Dartmouth College, Lebanon, New Hampshire
| | - Karl T. Kelsey
- Departments of Epidemiology and Pathology and Laboratory Medicine, Brown University, Providence, Rhode Island
| | - Brock C. Christensen
- Department of Epidemiology, Geisel School of Medicine, Dartmouth College, Lebanon, New Hampshire
- Departments of Molecular and Systems Biology, and Community and Family Medicine, Geisel School of Medicine, Dartmouth College, Lebanon, New Hampshire
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Fischer AH, Wong JY, Baris D, Koutros S, Karagas MR, Schwenn M, Johnson A, Alguacil J, Silverman DT, Rothman N. Urine pH and Risk of Bladder Cancer in Northern New England. Cancer Epidemiol Biomarkers Prev 2023; 32:1323-1327. [PMID: 37351876 PMCID: PMC10977345 DOI: 10.1158/1055-9965.epi-22-0801] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Revised: 02/01/2023] [Accepted: 06/20/2023] [Indexed: 06/24/2023] Open
Abstract
BACKGROUND Acidic urine pH is associated with rapid hydrolysis of N-glucuronide conjugates of aromatic amines into metabolites that may undergo metabolism in the bladder lumen to form mutagenic DNA adducts. We previously reported that consistently acidic urine was associated with increased bladder cancer risk in a hospital-based case-control study in Spain. Here, we conducted a separate study in northern New England to replicate these findings. METHODS In a large, population-based case-control study conducted in Maine, New Hampshire, and Vermont, we examined bladder cancer risk in relation to consistent urine pH, measured twice daily by participants over 4 consecutive days using dipsticks. In parallel, we collected spot urine samples and conducted laboratory measurements of urinary acidity using a pH meter. Unconditional logistic regression was used to estimate associations, adjusting for age, gender, race, Hispanic status, and state. Analyses were further stratified by smoking status. RESULTS Among 616 urothelial carcinoma cases and 897 controls, urine pH consistently ≤ 6.0 was associated with increased bladder cancer risk (OR = 1.27; 95% confidence interval, 1.02-1.57), with the effect limited to ever-smokers. These findings were supported by analyses of a spot urine, with statistically significant exposure-response relationships for bladder cancer risk overall (Ptrend = 5.1×10-3) and among ever-smokers (Ptrend = 1.2×10-3). CONCLUSIONS Consistent with a previous study in Spain, our findings suggest that acidic urine pH is associated with increased bladder cancer risk. IMPACT Our findings align with experimental results showing that acidic urine pH, which is partly modifiable by lifestyle factors, is linked to hydrolysis of acid-labile conjugates of carcinogenic aromatic amines.
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Affiliation(s)
- Alexander H. Fischer
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland
- Advanced Dermatology and Cosmetic Surgery – Alexandria, VA
| | - Jason Y.Y. Wong
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland
| | - Dalsu Baris
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland
| | - Stella Koutros
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland
| | | | | | | | - Juan Alguacil
- Centro de Investigación en Recursos Naturales, Salud, y Medio Ambiente. Universidad de Huelva. Huelva, Spain
| | - Debra T. Silverman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland
| | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland
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Aris IM, Perng W, Dabelea D, Padula AM, Alshawabkeh A, Vélez-Vega CM, Aschner JL, Camargo CA, Sussman TJ, Dunlop AL, Elliott AJ, Ferrara A, Joseph CLM, Singh AM, Breton CV, Hartert T, Cacho F, Karagas MR, Lester BM, Kelly NR, Ganiban JM, Chu SH, O’Connor TG, Fry RC, Norman G, Trasande L, Restrepo B, Gold DR, James P, Oken E. Neighborhood Opportunity and Vulnerability and Incident Asthma Among Children. JAMA Pediatr 2023; 177:1055-1064. [PMID: 37639269 PMCID: PMC10463174 DOI: 10.1001/jamapediatrics.2023.3133] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Accepted: 06/29/2023] [Indexed: 08/29/2023]
Abstract
Background The extent to which physical and social attributes of neighborhoods play a role in childhood asthma remains understudied. Objective To examine associations of neighborhood-level opportunity and social vulnerability measures with childhood asthma incidence. Design, Setting, and Participants This cohort study used data from children in 46 cohorts participating in the Environmental Influences on Child Health Outcomes (ECHO) Program between January 1, 1995, and August 31, 2022. Participant inclusion required at least 1 geocoded residential address from birth and parent or caregiver report of a physician's diagnosis of asthma. Participants were followed up to the date of asthma diagnosis, date of last visit or loss to follow-up, or age 20 years. Exposures Census tract-level Child Opportunity Index (COI) and Social Vulnerability Index (SVI) at birth, infancy, or early childhood, grouped into very low (<20th percentile), low (20th to <40th percentile), moderate (40th to <60th percentile), high (60th to <80th percentile), or very high (≥80th percentile) COI or SVI. Main Outcomes and Measures The main outcome was parent or caregiver report of a physician's diagnosis of childhood asthma (yes or no). Poisson regression models estimated asthma incidence rate ratios (IRRs) associated with COI and SVI scores at each life stage. Results The study included 10 516 children (median age at follow-up, 9.1 years [IQR, 7.0-11.6 years]; 52.2% male), of whom 20.6% lived in neighborhoods with very high COI and very low SVI. The overall asthma incidence rate was 23.3 cases per 1000 child-years (median age at asthma diagnosis, 6.6 years [IQR, 4.1-9.9 years]). High and very high (vs very low) COI at birth, infancy, or early childhood were associated with lower subsequent asthma incidence independent of sociodemographic characteristics, parental asthma history, and parity. For example, compared with very low COI, the adjusted IRR for asthma was 0.87 (95% CI, 0.75-1.00) for high COI at birth and 0.83 (95% CI, 0.71-0.98) for very high COI at birth. These associations appeared to be attributable to the health and environmental and the social and economic domains of the COI. The SVI during early life was not significantly associated with asthma incidence. For example, compared with a very high SVI, the adjusted IRR for asthma was 0.88 (95% CI, 0.75-1.02) for low SVI at birth and 0.89 (95% CI, 0.76-1.03) for very low SVI at birth. Conclusions In this cohort study, high and very high neighborhood opportunity during early life compared with very low neighborhood opportunity were associated with lower childhood asthma incidence. These findings suggest the need for future studies examining whether investing in health and environmental or social and economic resources in early life would promote health equity in pediatric asthma.
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Affiliation(s)
- Izzuddin M. Aris
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts
| | - Wei Perng
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora
| | - Dana Dabelea
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora
- Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora
| | - Amy M. Padula
- Department of Obstetrics, Gynecology and Reproductive Sciences, University of California, San Francisco
| | - Akram Alshawabkeh
- Department of Civil and Environmental Engineering, Northeastern University, Boston, Massachusetts
| | - Carmen M. Vélez-Vega
- University of Puerto Rico (UPR) Graduate School of Public Health, UPR Medical Sciences Campus, San Juan, Puerto Rico
| | - Judy L. Aschner
- Department of Pediatrics, Hackensack Meridian School of Medicine, Nutley, New Jersey
- Department of Pediatrics, Albert Einstein College of Medicine, Bronx, New York
| | - Carlos A. Camargo
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Department of Medicine, Channing Division of Network Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
- Department of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston
| | - Tamara J. Sussman
- Department of Psychiatry, Columbia University and New York State Psychiatric Institute, New York
| | - Anne L. Dunlop
- Department of Gynecology and Obstetrics, Emory University School of Medicine, Atlanta, Georgia
| | - Amy J. Elliott
- Avera Research Institute, Sioux Falls, South Dakota
- Department of Pediatrics, University of South Dakota School of Medicine, Sioux Falls
| | - Assiamira Ferrara
- Division of Research, Kaiser Permanente Northern California, Oakland
| | | | - Anne Marie Singh
- Division of Allergy, Immunology and Rheumatology, Department of Pediatrics, University of Wisconsin–Madison
| | - Carrie V. Breton
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles
| | - Tina Hartert
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Ferdinand Cacho
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Margaret R. Karagas
- Department of Epidemiology, Geisel School of Medicine, Dartmouth College, Hanover, New Hampshire
| | - Barry M. Lester
- Department of Pediatrics, Warren Alpert Medical School, Brown University, Providence, Rhode Island
| | - Nichole R. Kelly
- Department of Counseling Psychology and Human Services, Prevention Science Institute, University of Oregon, Eugene
| | - Jody M. Ganiban
- Department of Psychological and Brain Sciences, George Washington University, Washington, DC
| | - Su H. Chu
- Department of Medicine, Channing Division of Network Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
| | | | - Rebecca C. Fry
- Department of Environmental Sciences and Engineering, Gillings School of Global Public Health, The University of North Carolina, Chapel Hill
| | - Gwendolyn Norman
- Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Wayne State University, Detroit, Michigan
| | - Leonardo Trasande
- Department of Pediatrics, Grossman School of Medicine, New York University, New York
| | - Bibiana Restrepo
- Department of Pediatrics, School of Medicine, University of California, Davis, Sacramento
| | - Diane R. Gold
- Department of Medicine, Channing Division of Network Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
- Department of Medicine, Harvard Medical School, Boston, Massachusetts
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Peter James
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Emily Oken
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts
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Fang F, Zhou L, Perng W, Marsit CJ, Knight AK, Cardenas A, Aung MT, Hivert MF, Aris IM, Goodrich JM, Smith AK, Gaylord A, Fry RC, Oken E, O'Connor G, Ruden DM, Trasande L, Herbstman JB, Camargo CA, Bush NR, Dunlop AL, Dabelea DM, Karagas MR, Breton CV, Ober C, Everson TM, Page GP, Ladd-Acosta C. Evaluation of pediatric epigenetic clocks across multiple tissues. Clin Epigenetics 2023; 15:142. [PMID: 37660147 PMCID: PMC10475199 DOI: 10.1186/s13148-023-01552-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2023] [Accepted: 08/12/2023] [Indexed: 09/04/2023] Open
Abstract
BACKGROUND Epigenetic clocks are promising tools for assessing biological age. We assessed the accuracy of pediatric epigenetic clocks in gestational and chronological age determination. RESULTS Our study used data from seven tissue types on three DNA methylation profiling microarrays and found that the Knight and Bohlin clocks performed similarly for blood cells, while the Lee clock was superior for placental samples. The pediatric-buccal-epigenetic clock performed the best for pediatric buccal samples, while the Horvath clock is recommended for children's blood cell samples. The NeoAge clock stands out for its unique ability to predict post-menstrual age with high correlation with the observed age in infant buccal cell samples. CONCLUSIONS Our findings provide valuable guidance for future research and development of epigenetic clocks in pediatric samples, enabling more accurate assessments of biological age.
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Affiliation(s)
- Fang Fang
- GenOmics and Translational Research Center, RTI International, Research Triangle Park, 3040 East Cornwallis Road, Durham, NC, 27709-2194, USA.
| | - Linran Zhou
- GenOmics and Translational Research Center, RTI International, Research Triangle Park, 3040 East Cornwallis Road, Durham, NC, 27709-2194, USA
| | - Wei Perng
- Department of Epidemiology, Colorado School of Public Health, Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado, Anschutz Medical Campus, Aurora, CO, USA
| | - Carmen J Marsit
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Anna K Knight
- Department of Gynecology and Obstetrics, Emory University, Atlanta, GA, USA
| | - Andres Cardenas
- Department of Epidemiology and Population Health, Stanford School of Medicine, Stanford, CA, USA
| | - Max T Aung
- Division of Environmental Health, Department of Population and Populace Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Marie-France Hivert
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
- Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Izzuddin M Aris
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Jaclyn M Goodrich
- Department of Environmental Health Sciences, University of Michigan, Ann Arbor, MI, USA
| | - Alicia K Smith
- Department of Gynecology and Obstetrics, Emory University, Atlanta, GA, USA
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA
| | - Abigail Gaylord
- Department of Population Health, New York University School of Medicine, New York, NY, USA
| | - Rebecca C Fry
- Department of Environmental Sciences and Engineering, UNC-Chapel Hill, Chapel Hill, NC, USA
| | - Emily Oken
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - George O'Connor
- Pulmonary Center, Department of Medicine, Boston University School of Medicine, Boston, MA, USA
- The National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, MA, USA
| | - Douglas M Ruden
- Department of Obstetrics and Gynecology, Institute of Environmental Health Sciences, Wayne State University, Detroit, MI, USA
| | - Leonardo Trasande
- Department of Population Health, New York University School of Medicine, New York, NY, USA
- Department of Population Health, New York University Grossman School of Medicine, New York, NY, USA
| | - Julie B Herbstman
- Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Carlos A Camargo
- Department of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Nicole R Bush
- Department of Psychiatry and Behavioral Sciences, Department of Pediatrics, University of California, San Francisco, CA, USA
| | - Anne L Dunlop
- Department of Gynecology and Obstetrics, Emory University, Atlanta, GA, USA
| | - Dana M Dabelea
- Department of Epidemiology, Colorado School of Public Health, Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado, Anschutz Medical Campus, Aurora, CO, USA
| | - Margaret R Karagas
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, Hanover, NH, USA
| | - Carrie V Breton
- Division of Environmental Health, Department of Population and Populace Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Carole Ober
- Department of Human Genetics, University of Chicago, Chicago, IL, USA
| | - Todd M Everson
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Grier P Page
- GenOmics and Translational Research Center, RTI International, Research Triangle Park, 3040 East Cornwallis Road, Durham, NC, 27709-2194, USA
| | - Christine Ladd-Acosta
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
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Fernández-Iglesias R, Martinez-Camblor P, Fernández-Somoano A, Rodríguez-Dehli C, Venta-Obaya R, Karagas MR, Tardón A, Riaño-Galán I. Tracking between cardiovascular-related measures at 4 and 8 years of age in the INMA-Asturias cohort. Eur J Pediatr 2023; 182:3893-3906. [PMID: 37338691 PMCID: PMC10570156 DOI: 10.1007/s00431-023-05051-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Revised: 05/25/2023] [Accepted: 05/31/2023] [Indexed: 06/21/2023]
Abstract
Identifying cardiovascular-related measures that track from early childhood into later ages may help inform early prevention targets for cardiovascular disease. In this study, the tracking of triglycerides (TG), high-density cholesterol (HDL-c), atherogenic coefficient (AC), waist circumference to height ratio (WC/Height), mean arterial pressure (MAP), and homeostatic model assessment of insulin resistance (HOMA-IR) was examined in the INMA-Asturias cohort between 4 and 8 years of age. The analysis was conducted in 307 children who participated in the INMA-Asturias cohort (Spain) at 4 and at 8 years of age. Quantile regression models were used to evaluate tracking between measures at both ages, with each measure at 8 years as the dependent variable and the rank transformation of the same measure at 4 years as the independent variable. We found a positive association between HDL-c rank at 4 years and higher quantiles of the HDL-c distribution at 8 years, with an increase of 2.93 mg/dL (95% CI: 1.98, 3.87) per decile in the 0.9 quantile. A positive association was also found for WC/Height, with an increase of 0.008 (95% CI: 0.004, 0.012) per decile in the 0.9 quantile. We observed that tracking for AC increased in the higher quantiles of the distribution at 8 years, with an increase of 0.11 (95% CI: 0.09, 0.14) in the 0.6 quantile compared to an effect of 0.15 (95% CI: 0.09, 0.21) in the 0.9 quantile. Conclusions: Adult markers of dyslipidemia and central obesity tracked between ages 4 and 8 years. For AC, tracking increased in the higher quantiles of the distribution. What is Known: • Atherosclerosis begins in early life, so preventive efforts that start in childhood may delay progression to clinical disease. Determine what cardiovascular risk factors track into time since childhood bring the opportunity to identified those subjects at risk for later cardiovascular disease. • The study of risk factors in health populations and, particularly in children, copes with not clear and/or controversial thresholds definition. This makes it challenging to study tracking in pediatric ages. What is New: • Quantile regression is a useful tool for assessing the tracking of risk factors for which there are no clinically meaningful thresholds. The increasing trend observed in the tracking of dyslipidemia suggests the possible difficulty that children with abnormal values at 4 years of age might have in normalizing them in future years. • The findings of this article may help to determine which cardiovascular-related measures could be screened and followed-up in children.
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Affiliation(s)
- Rocío Fernández-Iglesias
- Spanish Consortium for Research On Epidemiology and Public Health (CIBERESP), Monforte de Lemos Avenue, 3-5, 28029, Madrid, Spain
- Unit of Molecular Cancer Epidemiology, University Institute of Oncology of the Principality of Asturias (IUOPA), Department of Medicine, University of Oviedo, Julian Clavería Street S/N, 33006, Oviedo, Asturias, Spain
- Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Roma Avenue S/N, 33001, Oviedo, Asturias, Spain
| | - Pablo Martinez-Camblor
- Biomedical Data Science Department, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA
- Faculty of Health Sciences, Universidad Autonoma de Chile, 7500912, Providencia, Chile
| | - Ana Fernández-Somoano
- Spanish Consortium for Research On Epidemiology and Public Health (CIBERESP), Monforte de Lemos Avenue, 3-5, 28029, Madrid, Spain.
- Unit of Molecular Cancer Epidemiology, University Institute of Oncology of the Principality of Asturias (IUOPA), Department of Medicine, University of Oviedo, Julian Clavería Street S/N, 33006, Oviedo, Asturias, Spain.
- Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Roma Avenue S/N, 33001, Oviedo, Asturias, Spain.
| | - Cristina Rodríguez-Dehli
- Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Roma Avenue S/N, 33001, Oviedo, Asturias, Spain
- Servicio de Pediatría, Hospital San Agustín, Heros Street, 4, 33410, Avilés, Asturias, Spain
| | - Rafael Venta-Obaya
- Servicio de Bioquímica, Hospital San Agustín, Heros Street, 4, 33410, Avilés, Asturias, Spain
- Departamento de Bioquímica y Biología Molecular, University of Oviedo, Fernando Bongera Street, S/N, 33006, Oviedo, Asturias, Spain
| | - Margaret R Karagas
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA
| | - Adonina Tardón
- Spanish Consortium for Research On Epidemiology and Public Health (CIBERESP), Monforte de Lemos Avenue, 3-5, 28029, Madrid, Spain
- Unit of Molecular Cancer Epidemiology, University Institute of Oncology of the Principality of Asturias (IUOPA), Department of Medicine, University of Oviedo, Julian Clavería Street S/N, 33006, Oviedo, Asturias, Spain
- Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Roma Avenue S/N, 33001, Oviedo, Asturias, Spain
| | - Isolina Riaño-Galán
- Spanish Consortium for Research On Epidemiology and Public Health (CIBERESP), Monforte de Lemos Avenue, 3-5, 28029, Madrid, Spain
- Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Roma Avenue S/N, 33001, Oviedo, Asturias, Spain
- Endocrinología Pediátrica, Servicio de Pediatría, HUCA, Roma Avenue S/N, 33001, Oviedo, Asturias, Spain
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Knapp EA, Kress AM, Parker CB, Page GP, McArthur K, Gachigi KK, Alshawabkeh AN, Aschner JL, Bastain TM, Breton CV, Bendixsen CG, Brennan PA, Bush NR, Buss C, Camargo, Jr. CA, Catellier D, Cordero JF, Croen L, Dabelea D, Deoni S, D’Sa V, Duarte CS, Dunlop AL, Elliott AJ, Farzan SF, Ferrara A, Ganiban JM, Gern JE, Giardino AP, Towe-Goodman NR, Gold DR, Habre R, Hamra GB, Hartert T, Herbstman JB, Hertz-Picciotto I, Hipwell AE, Karagas MR, Karr CJ, Keenan K, Kerver JM, Koinis-Mitchell D, Lau B, Lester BM, Leve LD, Leventhal B, LeWinn KZ, Lewis J, Litonjua AA, Lyall K, Madan JC, McEvoy CT, McGrath M, Meeker JD, Miller RL, Morello-Frosch R, Neiderhiser JM, O’Connor TG, Oken E, O’Shea M, Paneth N, Porucznik CA, Sathyanarayana S, Schantz SL, Spindel ER, Stanford JB, Stroustrup A, Teitelbaum SL, Trasande L, Volk H, Wadhwa PD, Weiss ST, Woodruff TJ, Wright RJ, Zhao Q, Jacobson LP, Influences on Child Health Outcomes ,OBOPCFE. The Environmental Influences on Child Health Outcomes (ECHO)-Wide Cohort. Am J Epidemiol 2023; 192:1249-1263. [PMID: 36963379 PMCID: PMC10403303 DOI: 10.1093/aje/kwad071] [Citation(s) in RCA: 16] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Revised: 03/17/2023] [Accepted: 03/23/2023] [Indexed: 03/26/2023] Open
Abstract
The Environmental Influences on Child Health Outcomes (ECHO)-Wide Cohort Study (EWC), a collaborative research design comprising 69 cohorts in 31 consortia, was funded by the National Institutes of Health (NIH) in 2016 to improve children's health in the United States. The EWC harmonizes extant data and collects new data using a standardized protocol, the ECHO-Wide Cohort Data Collection Protocol (EWCP). EWCP visits occur at least once per life stage, but the frequency and timing of the visits vary across cohorts. As of March 4, 2022, the EWC cohorts contributed data from 60,553 children and consented 29,622 children for new EWCP data and biospecimen collection. The median (interquartile range) age of EWCP-enrolled children was 7.5 years (3.7-11.1). Surveys, interviews, standardized examinations, laboratory analyses, and medical record abstraction are used to obtain information in 5 main outcome areas: pre-, peri-, and postnatal outcomes; neurodevelopment; obesity; airways; and positive health. Exposures include factors at the level of place (e.g., air pollution, neighborhood socioeconomic status), family (e.g., parental mental health), and individuals (e.g., diet, genomics).
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Affiliation(s)
- Emily A Knapp
- Correspondence to Dr. Emily Knapp, Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, 700 E. Pratt Street, Suite 1000, Baltimore, Maryland 21202 (e-mail: )
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Camerota M, McGowan EC, Aschner J, Stroustrup A, Karagas MR, Conradt E, Crowell SE, Brennan PA, Carter BS, Check J, Dansereau LM, DellaGrotta SA, Everson TM, Helderman JB, Hofheimer JA, Kuiper JR, Loncar CM, Marsit CJ, Neal CR, O'Shea TM, Pastyrnak SL, Sheinkopf SJ, Smith LM, Zhang X, Lester BM. Prenatal and perinatal factors associated with neonatal neurobehavioral profiles in the ECHO Program. Pediatr Res 2023; 94:762-770. [PMID: 36841884 PMCID: PMC10440230 DOI: 10.1038/s41390-023-02540-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Revised: 11/23/2022] [Accepted: 02/06/2023] [Indexed: 02/27/2023]
Abstract
BACKGROUND Single-cohort studies have identified distinct neurobehavioral profiles that are associated with prenatal and neonatal factors based on the NICU Network Neurobehavioral Scale (NNNS). We examined socioeconomic, medical, and substance use variables as predictors of NNNS profiles in a multi-cohort study of preterm and term-born infants with different perinatal exposures. METHODS We studied 1112 infants with a neonatal NNNS exam from the Environmental influences on Child Health Outcomes (ECHO) consortium. We used latent profile analysis to characterize infant neurobehavioral profiles and generalized estimating equations to determine predictors of NNNS profiles. RESULTS Six distinct neonatal neurobehavioral profiles were identified, including two dysregulated profiles: a hypo-aroused profile (16%) characterized by lethargy, hypotonicity, and nonoptimal reflexes; and a hyper-aroused profile (6%) characterized by high arousal, excitability, and stress, with low regulation and poor movement quality. Infants in the hypo-aroused profile were more likely to be male, have younger mothers, and have mothers who were depressed prenatally. Infants in the hyper-aroused profile were more likely to be Hispanic/Latino and have mothers who were depressed or used tobacco prenatally. CONCLUSIONS We identified two dysregulated neurobehavioral profiles with distinct perinatal antecedents. Further understanding of their etiology could inform targeted interventions to promote positive developmental outcomes. IMPACT Prior research on predictors of neonatal neurobehavior have included single-cohort studies, which limits generalizability of findings. In a multi-cohort study of preterm and term-born infants, we found six distinct neonatal neurobehavioral profiles, with two profiles being identified as dysregulated. Hypo- and hyper-aroused neurobehavioral profiles had distinct perinatal antecedents. Understanding perinatal factors associated with dysregulated neurobehavior could help promote positive developmental outcomes.
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Affiliation(s)
- Marie Camerota
- Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, RI, USA.
- Department of Pediatrics, Women and Infants Hospital, Providence, RI, USA.
| | - Elisabeth C McGowan
- Department of Pediatrics, Alpert Medical School of Brown University, Providence, RI, USA
| | - Judy Aschner
- Departments of Pediatrics, Hackensack Meridian School of Medicine, Nutley, NJ, USA
- Albert Einstein College of Medicine, Bronx, NY, USA
| | - Annemarie Stroustrup
- Division of Neonatology, Cohen Children's Medical Center, Northwell Health, New Hyde Park, NY, USA
| | - Margaret R Karagas
- Department of Epidemiology, Geisel School of Medicine, Dartmouth College, Lebanon, NH, USA
| | - Elisabeth Conradt
- Department of Psychiatry, Duke University School of Medicine, Durham, NC, USA
| | - Sheila E Crowell
- Department of Psychology, University of Utah, Salt Lake City, UT, USA
| | | | - Brian S Carter
- Department of Pediatrics-Neonatology, Children's Mercy Hospital, Kansas City, MO, USA
| | - Jennifer Check
- Department of Pediatrics, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Lynne M Dansereau
- Department of Pediatrics, Women and Infants Hospital, Providence, RI, USA
| | | | - Todd M Everson
- Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Jennifer B Helderman
- Department of Pediatrics, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Julie A Hofheimer
- Department of Pediatrics, University of North Carolina and Chapel Hill School of Medicine, Chapel Hill, NC, USA
| | - Jordan R Kuiper
- Department of Environmental Health and Engineering, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Cynthia M Loncar
- Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, RI, USA
- Department of Pediatrics, Alpert Medical School of Brown University, Providence, RI, USA
| | - Carmen J Marsit
- Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Charles R Neal
- Department of Pediatrics, University of Hawaii John A. Burns School of Medicine, Honolulu, HI, USA
| | - Thomas Michael O'Shea
- Department of Pediatrics, University of North Carolina and Chapel Hill School of Medicine, Chapel Hill, NC, USA
| | - Steven L Pastyrnak
- Department of Pediatrics, Spectrum Health-Helen DeVos Hospital, Grand Rapids, MI, USA
| | - Stephen J Sheinkopf
- Thompson Center for Autism and Neurodevelopment, University of Missouri, Columbia, MO, USA
| | - Lynne M Smith
- Department of Pediatrics, Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Xueying Zhang
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Barry M Lester
- Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, RI, USA
- Department of Pediatrics, Women and Infants Hospital, Providence, RI, USA
- Department of Pediatrics, Alpert Medical School of Brown University, Providence, RI, USA
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LeWinn KZ, Trasande L, Law A, Blackwell CK, Bekelman TA, Arizaga JA, Sullivan AA, Bastain TM, Breton CV, Karagas MR, Elliott AJ, Karr CJ, Carroll KN, Dunlop AL, Croen LA, Margolis AE, Alshawabkeh AN, Cordero JF, Singh AM, Seroogy CM, Jackson DJ, Wood RA, Hartert TV, Kim YS, Duarte CS, Schweitzer JB, Lester BM, McEvoy CT, O’Connor TG, Oken E, Bornkamp N, Brown ED, Porucznik CA, Ferrara A, Camargo CA, Zhao Q, Ganiban JM, Jacobson LP. Sociodemographic Differences in COVID-19 Pandemic Experiences Among Families in the United States. JAMA Netw Open 2023; 6:e2330495. [PMID: 37610749 PMCID: PMC10448300 DOI: 10.1001/jamanetworkopen.2023.30495] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Accepted: 07/17/2023] [Indexed: 08/24/2023] Open
Abstract
Importance Few population-based studies in the US collected individual-level data from families during the COVID-19 pandemic. Objective To examine differences in COVID-19 pandemic-related experiences in a large sociodemographically diverse sample of children and caregivers. Design, Setting, and Participants The Environmental influences on Child Health Outcomes (ECHO) multi-cohort consortium is an ongoing study that brings together 64 individual cohorts with participants (24 757 children and 31 700 caregivers in this study) in all 50 US states and Puerto Rico. Participants who completed the ECHO COVID-19 survey between April 2020 and March 2022 were included in this cross-sectional analysis. Data were analyzed from July 2021 to September 2022. Main Outcomes and Measures Exposures of interest were caregiver education level, child life stage (infant, preschool, middle childhood, and adolescent), and urban or rural (population <50 000) residence. Dependent variables included COVID-19 infection status and testing; disruptions to school, child care, and health care; financial hardships; and remote work. Outcomes were examined separately in logistic regression models mutually adjusted for exposures of interest and race, ethnicity, US Census division, sex, and survey administration date. Results Analyses included 14 646 children (mean [SD] age, 7.1 [4.4] years; 7120 [49%] female) and 13 644 caregivers (mean [SD] age, 37.6 [7.2] years; 13 381 [98%] female). Caregivers were racially (3% Asian; 16% Black; 12% multiple race; 63% White) and ethnically (19% Hispanic) diverse and comparable with the US population. Less than high school education (vs master's degree or more) was associated with more challenges accessing COVID-19 tests (adjusted odds ratio [aOR], 1.88; 95% CI, 1.06-1.58), lower odds of working remotely (aOR, 0.04; 95% CI, 0.03-0.07), and more food access concerns (aOR, 4.14; 95% CI, 3.20-5.36). Compared with other age groups, young children (age 1 to 5 years) were least likely to receive support from schools during school closures, and their caregivers were most likely to have challenges arranging childcare and concerns about work impacts. Rural caregivers were less likely to rank health concerns (aOR, 0.77; 95% CI, 0.69-0.86) and social distancing (aOR, 0.82; 95% CI, 0.73-0.91) as top stressors compared with urban caregivers. Conclusions Findings in this cohort study of US families highlighted pandemic-related burdens faced by families with lower socioeconomic status and young children. Populations more vulnerable to public health crises should be prioritized in recovery efforts and future planning.
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Affiliation(s)
- Kaja Z. LeWinn
- Department of Psychiatry and Behavioral Sciences, University of California San Francisco
| | - Leonardo Trasande
- Department of Pediatrics, New York University Grossman School of Medicine, New York
- Department of Population Health, New York University Grossman School of Medicine, New York
| | - Andrew Law
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | | | - Traci A. Bekelman
- Department of Epidemiology, Lifecourse Epidemiology of Adiposity & Diabetes Center, University of Colorado Anschutz Medical Campus, Aurora
| | - Jessica A. Arizaga
- Department of Psychiatry and Behavioral Sciences, University of California San Francisco
| | - Alexis A. Sullivan
- Department of Psychiatry and Behavioral Sciences, University of California San Francisco
| | - Theresa M. Bastain
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles
| | - Carrie V. Breton
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles
| | - Margaret R. Karagas
- Department of Epidemiology, Dartmouth Geisel School of Medicine, Lebanon, New Hampshire
| | | | | | - Kecia N. Carroll
- Jack and Lucy Clark Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Anne L. Dunlop
- Department of Gynecology & Obstetrics, Emory University School of Medicine, Atlanta, Georgia
| | | | - Amy E. Margolis
- Columbia University Irving Medical Center, New York State Psychiatric Institute, New York
| | | | - Jose F. Cordero
- Department of Epidemiology & Biostatistics, College of Public Health, University of Georgia, Athens
| | - Anne Marie Singh
- Department of Pediatrics, University of Wisconsin School of Medicine and Public Health, Madison
| | - Christine M. Seroogy
- Department of Pediatrics, University of Wisconsin School of Medicine and Public Health, Madison
| | - Daniel J. Jackson
- Department of Pediatrics, University of Wisconsin School of Medicine and Public Health, Madison
| | - Robert A. Wood
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Tina V. Hartert
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Young Shin Kim
- Department of Psychiatry and Behavioral Sciences, University of California San Francisco
| | - Cristiane S. Duarte
- Columbia University Irving Medical Center, New York State Psychiatric Institute, New York
| | - Julie B. Schweitzer
- Department of Psychiatry and Behavioral Sciences, University of California, Davis, Sacramento
- The MIND Institute, University of California, Davis, Sacramento
| | - Barry M. Lester
- Brown Center for the Study of Children at Risk, Brown Alpert Medical School and Women & Infants Hospital, Providence, Rhode Island
| | - Cynthia T. McEvoy
- Department of Pediatrics, Oregon Health and Science University School of Medicine, Portland
| | - Thomas G. O’Connor
- Department of Psychiatry, University of Rochester Medical Center, Rochester, New York
| | - Emily Oken
- Department of Population Medicine, Harvard Pilgrim Health Care Institute, Boston, Massachusetts
| | - Nicole Bornkamp
- Department of Population Medicine, Harvard Pilgrim Health Care Institute, Boston, Massachusetts
| | - Eric D. Brown
- Department of Environmental Sciences and Engineering, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill
| | - Christina A. Porucznik
- Department of Family & Preventive Medicine, University of Utah School of Medicine, Salt Lake City
| | | | | | - Qi Zhao
- Department of Preventive Medicine, University of Tennessee Health Science Center, Memphis
| | - Jody M. Ganiban
- Department of Psychological & Brain Sciences, Columbian College of Arts & Sciences, George Washington University, Washington, DC
| | - Lisa P. Jacobson
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
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Crawford KA, Gallagher LG, Baker ER, Karagas MR, Romano ME. Predictors of Breastfeeding Duration in the New Hampshire Birth Cohort Study. Matern Child Health J 2023; 27:1434-1443. [PMID: 37269393 DOI: 10.1007/s10995-023-03714-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/21/2023] [Indexed: 06/05/2023]
Abstract
INTRODUCTION Breastfeeding has significant health benefits for infants and birthing persons, including reduced risk of chronic disease. The American Academy of Pediatrics recommends exclusively breastfeeding infants for 6 months and recently extended its recommendation for continuing to breastfeed with supplementation of solid foods from one to two years. Studies consistently identify lower breastfeeding rates among US infants, with regional and demographic variability. We examined breastfeeding in birthing person-infant pairs among healthy, term pregnancies enrolled in the New Hampshire Birth Cohort Study between 2010 and 2017 (n = 1176). METHODS Birthing persons 18-45 years old were enrolled during prenatal care visits at ~ 24-28 weeks gestation and have been followed since enrollment. Breastfeeding status was obtained from postpartum questionnaires. Birthing person and infant health and sociodemographic information was abstracted from medical records and prenatal and postpartum questionnaires. We evaluated the effects of birthing person age, education, relationship status, pre-pregnancy body mass index, gestational weight gain (GWG), smoking and parity, and infant sex, ponderal index, gestational age and delivery mode on breastfeeding initiation and duration using modified Poisson and multivariable linear regression. RESULTS Among healthy, term pregnancies, 96% of infants were breastfed at least once. Only 29% and 28% were exclusively breastfed at 6-months or received any breastmilk at 12-months, respectively. Higher birthing person age, education, and parity, being married, excessive GWG, and older gestational age at delivery were associated with better breastfeeding outcomes. Smoking, obesity, and cesarean delivery were negatively associated with breastfeeding outcomes. CONCLUSIONS Given the public health importance of breastfeeding for infants and birthing persons, interventions are needed to support birthing persons to extend their breastfeeding duration.
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Affiliation(s)
- Kathryn A Crawford
- Environmental Studies Program, Middlebury College, 276 Bicentennial Way, Middlebury, VT, 05753, USA.
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA.
| | - Lisa G Gallagher
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA
| | - Emily R Baker
- Maternal Fetal Medicine, Dartmouth-Hitchcock Medical Center, Lebanon, NH, USA
| | - Margaret R Karagas
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA
| | - Megan E Romano
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA
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40
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Patti MA, Ning X, Hosseini M, Croen LA, Joseph RM, Karagas MR, Ladd-Acosta C, Landa R, Messinger DS, Newschaffer CJ, Nguyen R, Ozonoff S, O'Shea TM, Schmidt RJ, Trevino CO, Lyall K. A Comparative Analysis of the Full and Short Versions of the Social Responsiveness Scale in Estimating an Established Autism Risk Factor Association in ECHO: Do we Get the Same Estimates? J Autism Dev Disord 2023:10.1007/s10803-023-06020-8. [PMID: 37480437 DOI: 10.1007/s10803-023-06020-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/18/2023] [Indexed: 07/24/2023]
Abstract
PURPOSE Prior work developed a shortened 16-item version of the Social Responsiveness Scale (SRS), a quantitative measure of social communication and autism spectrum disorder (ASD)-related traits. However, its properties for use in risk factor estimation have not been fully tested compared to the full SRS. We compared the associations between gestational age (previously established risk factor for ASD) and the 65-item "full" and 16-item "short" versions of the SRS to test the shortened version's ability to capture associations in epidemiologic analyses of ASD risk factors. METHODS We used data from participants in the Environmental influences on Child Health Outcomes (ECHO) Program (n = 2,760). SRS scores were collected via maternal/caregiver report when children were aged 2.5-18 years. We compared estimates of associations between gestational age and preterm birth between the full and short SRS using multivariable linear regression, quantile regression, and prediction methods. RESULTS Overall, associations based on full and short SRS scores were highly comparable. For example, we observed positive associations between preterm birth with both full ([Formula: see text]=2.8; 95% CI [1.7, 4.0]) and short ([Formula: see text]=2.9; 95% CI [1.6, 4.3]) SRS scores. Quantile regression analyses indicated similar direction and magnitude of associations across the distribution of SRS scores between gestational age with both short and full SRS scores. CONCLUSION The comparability in estimates obtained for full and short SRS scores with an "established" ASD risk factor suggests ability of the shortened SRS in assessing associations with potential ASD-related risk factors and has implications for large-scale research studies seeking to reduce participant burden.
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Affiliation(s)
- Marisa A Patti
- A.J. Drexel Autism Institute, Drexel University, Philadelphia, PA, USA.
| | - Xuejuan Ning
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Wendy Klag Center for Autism and Developmental Disabilities, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Mina Hosseini
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Wendy Klag Center for Autism and Developmental Disabilities, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Lisa A Croen
- Division of Research, Kaiser Permanente, Oakland, CA, USA
| | - Robert M Joseph
- Department of Anatomy and Neurobiology, Boston University School of Medicine, Boston, MA, USA
| | - Margaret R Karagas
- Department of Epidemiology, Geisel School of Medicine, Dartmouth College, Hanover, NH, USA
| | - Christine Ladd-Acosta
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Wendy Klag Center for Autism and Developmental Disabilities, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Rebecca Landa
- Center for Autism and Related Disorders, Department of Psychiatry and Behavioral Sciences, Kennedy Krieger Institute, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Daniel S Messinger
- Departments of Psychology and Pediatrics, University of Miami, Coral Gables, FL, USA
| | - Craig J Newschaffer
- A.J. Drexel Autism Institute, Drexel University, Philadelphia, PA, USA
- College of Health and Human Development, Pennsylvania State University, University Park, New York City, PA, USA
| | - Ruby Nguyen
- Department of Epidemiology and Community Health, University of Minnesota, Minneapolis, MN, USA
| | - Sally Ozonoff
- Department of Psychiatry and Behavioral Sciences, MIND Institute, University of California Davis, Sacramento, CA, USA
| | - T Michael O'Shea
- Department of Pediatrics, University of North Carolina School of Medicine, Chapel Hill, NC, USA
| | - Rebecca J Schmidt
- Department of Public Health Sciences, UC Davis, UC Davis MIND Institute, Davis, Sacramento, CA, CA, USA
| | - Cindy O Trevino
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle Children's Research Institute, Seattle, WA, USA
| | - Kristen Lyall
- A.J. Drexel Autism Institute, Drexel University, Philadelphia, PA, USA
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Martenies SE, Zhang M, Corrigan AE, Kvit A, Shields T, Wheaton W, Around Him D, Aschner J, Talavera-Barber MM, Barrett ES, Bastain TM, Bendixsen C, Breton CV, Bush NR, Cacho F, Camargo CA, Carroll KN, Carter BS, Cassidy-Bushrow AE, Cowell W, Croen LA, Dabelea D, Duarte CS, Dunlop AL, Everson TM, Habre R, Hartert TV, Helderman JB, Hipwell AE, Karagas MR, Lester BM, LeWinn KZ, Magzamen S, Morello-Frosch R, O’Connor TG, Padula AM, Petriello M, Sathyanarayana S, Stanford JB, Woodruff TJ, Wright RJ, Kress AM. Developing a National-Scale Exposure Index for Combined Environmental Hazards and Social Stressors and Applications to the Environmental Influences on Child Health Outcomes (ECHO) Cohort. Int J Environ Res Public Health 2023; 20:6339. [PMID: 37510572 PMCID: PMC10379099 DOI: 10.3390/ijerph20146339] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Revised: 06/12/2023] [Accepted: 06/27/2023] [Indexed: 07/30/2023]
Abstract
Tools for assessing multiple exposures across several domains (e.g., physical, chemical, and social) are of growing importance in social and environmental epidemiology because of their value in uncovering disparities and their impact on health outcomes. Here we describe work done within the Environmental influences on Child Health Outcomes (ECHO)-wide Cohort Study to build a combined exposure index. Our index considered both environmental hazards and social stressors simultaneously with national coverage for a 10-year period. Our goal was to build this index and demonstrate its utility for assessing differences in exposure for pregnancies enrolled in the ECHO-wide Cohort Study. Our unitless combined exposure index, which collapses census-tract level data into a single relative measure of exposure ranging from 0-1 (where higher values indicate higher exposure to hazards), includes indicators for major air pollutants and air toxics, features of the built environment, traffic exposures, and social determinants of health (e.g., lower educational attainment) drawn from existing data sources. We observed temporal and geographic variations in index values, with exposures being highest among participants living in the West and Northeast regions. Pregnant people who identified as Black or Hispanic (of any race) were at higher risk of living in a "high" exposure census tract (defined as an index value above 0.5) relative to those who identified as White or non-Hispanic. Index values were also higher for pregnant people with lower educational attainment. Several recommendations follow from our work, including that environmental and social stressor datasets with higher spatial and temporal resolutions are needed to ensure index-based tools fully capture the total environmental context.
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Affiliation(s)
- Sheena E. Martenies
- Department of Kinesiology and Community Health, University of Illinois Urbana-Champaign, Urbana, IL 61801, USA
| | - Mingyu Zhang
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD 21205, USA
| | - Anne E. Corrigan
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD 21205, USA
| | - Anton Kvit
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD 21205, USA
| | - Timothy Shields
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD 21205, USA
| | - William Wheaton
- Research Triangle Institute, Research Triangle Park, NC 27709, USA
| | | | - Judy Aschner
- Department of Pediatrics, Hackensack Meridian School of Medicine, Nutley, NJ 07110, USA
- Department of Pediatrics, Albert Einstein College of Medicine, Bronx, NY 10461, USA
| | | | - Emily S. Barrett
- Department of Biostatistics and Epidemiology, Rutgers School of Public Health, Piscataway, NJ 08854, USA
| | - Theresa M. Bastain
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | | | - Carrie V. Breton
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Nicole R. Bush
- Department of Psychiatry and Behavioral Sciences, University of California San Francisco, San Francisco, CA 94143, USA
- Department of Pediatrics, University of California San Francisco, San Francisco, CA 94143, USA
| | - Ferdinand Cacho
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - Carlos A. Camargo
- Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - Kecia N. Carroll
- Department of Pediatrics, The Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Brian S. Carter
- Department of Pediatrics-Neonatology, Children’s Mercy Hospital, Kansas City, MO 64108, USA
| | | | - Whitney Cowell
- Department of Pediatrics, New York University Grossman School of Medicine, New York, NY 10016, USA
| | - Lisa A. Croen
- Division of Research, Kaiser Permanente Northern California, Oakland, CA 94612, USA;
| | - Dana Dabelea
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Cristiane S. Duarte
- New York State Psychiatric Institute, Columbia University, New York, NY 10032, USA
| | - Anne L. Dunlop
- Department of Obstetrics and Gynecology, Emory University School of Medicine, Atlanta, GA 30322, USA
| | - Todd M. Everson
- Gangarosa Department of Environmental Health, Emory University Rollins School of Public Health, Atlanta, GA 30322, USA
| | - Rima Habre
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Tina V. Hartert
- Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN 37203, USA
| | - Jennifer B. Helderman
- Department of Pediatrics, Wake Forest School of Medicine, Winston-Salem, NC 27101, USA
| | - Alison E. Hipwell
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA 15213, USA
| | - Margaret R. Karagas
- Department of Epidemiology, Geisel School of Medicine, Dartmouth College, Lebanon, NH 03756, USA
| | - Barry M. Lester
- Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, RI 02903, USA
| | - Kaja Z. LeWinn
- Department of Psychiatry and Behavioral Sciences, University of California San Francisco, San Francisco, CA 94143, USA
| | - Sheryl Magzamen
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO 80523, USA
| | - Rachel Morello-Frosch
- Department of Environmental Science, Policy and Management and School of Public Health, University of California Berkeley, Berkeley, CA 94720, USA
| | - Thomas G. O’Connor
- Departments of Psychiatry, Psychology, Neuroscience, and Obstetrics and Gynecology, University of Rochester Medical Center, Rochester, NY 41642, USA
| | - Amy M. Padula
- Department of Obstetrics, Gynecology and Reproductive Sciences, University of California San Francisco, San Francisco, CA 94158, USA
| | - Michael Petriello
- Institute of Environmental Health Sciences and Department of Pharmacology, Wayne State University, Detroit, MI 48202, USA
| | - Sheela Sathyanarayana
- Seattle Children’s Research Institute, Seattle, WA 98105, USA
- Department of Pediatrics, University of Washington, Seattle, WA 98195, USA
| | - Joseph B. Stanford
- Department of Pediatrics, Family and Preventive Medicine, University of Utah School of Medicine, Salt Lake City, UT 84132, USA
| | - Tracey J. Woodruff
- Department of Obstetrics, Gynecology and Reproductive Sciences, University of California San Francisco, San Francisco, CA 94158, USA
| | - Rosalind J. Wright
- Department of Pediatrics, The Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Amii M. Kress
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD 21205, USA
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42
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Yim G, McGee G, Gallagher L, Baker E, Jackson BP, Calafat AM, Botelho JC, Gilbert-Diamond D, Karagas MR, Romano ME, Howe CG. Metals and per- and polyfluoroalkyl substances mixtures and birth outcomes in the New Hampshire Birth Cohort Study: Beyond single-class mixture approaches. Chemosphere 2023; 329:138644. [PMID: 37031836 PMCID: PMC10208216 DOI: 10.1016/j.chemosphere.2023.138644] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Revised: 03/10/2023] [Accepted: 04/06/2023] [Indexed: 05/03/2023]
Abstract
We aimed to investigate the joint, class-specific, and individual impacts of (i) PFAS, (ii) toxic metals and metalloids (referred to collectively as "metals"), and (iii) essential elements on birth outcomes in a prospective pregnancy cohort using both established and recent mixture modeling approaches. Participants included 537 mother-child pairs from the New Hampshire Birth Cohort Study. Concentrations of 6 metals and 5 PFAS were measured in maternal toenail clippings and plasma, respectively. Birth weight, birth length, and head circumference at birth were abstracted from medical records. Joint, index-wise, and individual associations of the metals and PFAS concentrations with birth outcomes were evaluated using Bayesian Kernel Machine Regression (BKMR) and Bayesian Multiple Index Models (BMIM). After controlling for potential confounders, the metals-PFAS mixture was associated with a larger head circumference at birth, which was driven by manganese. When using BKMR, the difference in the head circumference z-score when changing manganese from its 25th to 75th percentiles while holding all other mixture components at their medians was 0.22 standard deviations (95% posterior credible interval [CI]: -0.02, 0.46). When using BMIM, the posterior mean of index weight estimates assigned to manganese for head circumference z-score was 0.72 (95% CI: 0, 0.99). Prenatal exposure to the metals-PFAS mixture was not associated with birth weight or birth length by either BKMR or BMIM. Using both traditional and new mixture modeling approaches, prenatal exposure to manganese was associated with a larger head circumference at birth after accounting for exposure to PFAS and multiple toxic and essential metals.
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Affiliation(s)
- Gyeyoon Yim
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA.
| | - Glen McGee
- Department of Statistics and Actuarial Science, University of Waterloo, Waterloo, ON, Canada
| | - Lisa Gallagher
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA
| | - Emily Baker
- Department of Obstetrics and Gynecology, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA
| | - Brian P Jackson
- Department of Earth Sciences, Dartmouth College, Hanover, NH, USA
| | - Antonia M Calafat
- National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Julianne Cook Botelho
- National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Diane Gilbert-Diamond
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA; Department of Pediatrics, Geisel School of Medicine at Dartmouth, Hanover, NH, USA; Dartmouth-Hitchcock Weight and Wellness Center, Department of Medicine at Dartmouth-Hitchcock Medical Center, Lebanon, NH, USA; Department of Medicine, Geisel School of Medicine at Dartmouth, Hanover, NH, USA
| | - Margaret R Karagas
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA
| | - Megan E Romano
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA
| | - Caitlin G Howe
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA
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43
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Koutros S, Kiemeney LA, Pal Choudhury P, Milne RL, Lopez de Maturana E, Ye Y, Joseph V, Florez-Vargas O, Dyrskjøt L, Figueroa J, Dutta D, Giles GG, Hildebrandt MAT, Offit K, Kogevinas M, Weiderpass E, McCullough ML, Freedman ND, Albanes D, Kooperberg C, Cortessis VK, Karagas MR, Johnson A, Schwenn MR, Baris D, Furberg H, Bajorin DF, Cussenot O, Cancel-Tassin G, Benhamou S, Kraft P, Porru S, Carta A, Bishop T, Southey MC, Matullo G, Fletcher T, Kumar R, Taylor JA, Lamy P, Prip F, Kalisz M, Weinstein SJ, Hengstler JG, Selinski S, Harland M, Teo M, Kiltie AE, Tardón A, Serra C, Carrato A, García-Closas R, Lloreta J, Schned A, Lenz P, Riboli E, Brennan P, Tjønneland A, Otto T, Ovsiannikov D, Volkert F, Vermeulen SH, Aben KK, Galesloot TE, Turman C, De Vivo I, Giovannucci E, Hunter DJ, Hohensee C, Hunt R, Patel AV, Huang WY, Thorleifsson G, Gago-Dominguez M, Amiano P, Golka K, Stern MC, Yan W, Liu J, Li SA, Katta S, Hutchinson A, Hicks B, Wheeler WA, Purdue MP, McGlynn KA, Kitahara CM, Haiman CA, Greene MH, Rafnar T, Chatterjee N, Chanock SJ, Wu X, Real FX, Silverman DT, Garcia-Closas M, Stefansson K, Prokunina-Olsson L, Malats N, Rothman N. Genome-wide Association Study of Bladder Cancer Reveals New Biological and Translational Insights. Eur Urol 2023; 84:127-137. [PMID: 37210288 PMCID: PMC10330197 DOI: 10.1016/j.eururo.2023.04.020] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Revised: 03/16/2023] [Accepted: 04/19/2023] [Indexed: 05/22/2023]
Abstract
BACKGROUND Genomic regions identified by genome-wide association studies (GWAS) for bladder cancer risk provide new insights into etiology. OBJECTIVE To identify new susceptibility variants for bladder cancer in a meta-analysis of new and existing genome-wide genotype data. DESIGN, SETTING, AND PARTICIPANTS Data from 32 studies that includes 13,790 bladder cancer cases and 343,502 controls of European ancestry were used for meta-analysis. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSES Log-additive associations of genetic variants were assessed using logistic regression models. A fixed-effects model was used for meta-analysis of the results. Stratified analyses were conducted to evaluate effect modification by sex and smoking status. A polygenic risk score (PRS) was generated on the basis of known and novel susceptibility variants and tested for interaction with smoking. RESULTS AND LIMITATIONS Multiple novel bladder cancer susceptibility loci (6p.22.3, 7q36.3, 8q21.13, 9p21.3, 10q22.1, 19q13.33) as well as improved signals in three known regions (4p16.3, 5p15.33, 11p15.5) were identified, bringing the number of independent markers at genome-wide significance (p < 5 × 10-8) to 24. The 4p16.3 (FGFR3/TACC3) locus was associated with a stronger risk for women than for men (p-interaction = 0.002). Bladder cancer risk was increased by interactions between smoking status and genetic variants at 8p22 (NAT2; multiplicative p value for interaction [pM-I] = 0.004), 8q21.13 (PAG1; pM-I = 0.01), and 9p21.3 (LOC107987026/MTAP/CDKN2A; pM-I = 0.02). The PRS based on the 24 independent GWAS markers (odds ratio per standard deviation increase 1.49, 95% confidence interval 1.44-1.53), which also showed comparable results in two prospective cohorts (UK Biobank, PLCO trial), revealed an approximately fourfold difference in the lifetime risk of bladder cancer according to the PRS (e.g., 1st vs 10th decile) for both smokers and nonsmokers. CONCLUSIONS We report novel loci associated with risk of bladder cancer that provide clues to its biological underpinnings. Using 24 independent markers, we constructed a PRS to stratify lifetime risk. The PRS combined with smoking history, and other established risk factors, has the potential to inform future screening efforts for bladder cancer. PATIENT SUMMARY We identified new genetic markers that provide biological insights into the genetic causes of bladder cancer. These genetic risk factors combined with lifestyle risk factors, such as smoking, may inform future preventive and screening strategies for bladder cancer.
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Affiliation(s)
- Stella Koutros
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.
| | - Lambertus A Kiemeney
- Department for Health Evidence, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Parichoy Pal Choudhury
- Trans-Divisional Research Program, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA; American Cancer Society, Atlanta, GA, USA
| | - Roger L Milne
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Australia; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Australia; Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Australia
| | - Evangelina Lopez de Maturana
- Genetic and Molecular Epidemiology Group, Spanish National Cancer Research Centre (CNIO) and CIBERONC, Madrid, Spain
| | | | - Vijai Joseph
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Oscar Florez-Vargas
- Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Lars Dyrskjøt
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Jonine Figueroa
- Usher Institute, University of Edinburgh, Edinburgh, UK; Integrative Tumor Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Diptavo Dutta
- Integrative Tumor Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Graham G Giles
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Australia; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Australia; Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Australia
| | | | - Kenneth Offit
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | | | | | | | - Neal D Freedman
- Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Demetrius Albanes
- Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Victoria K Cortessis
- Department of Population and Public Health Sciences, Epidemiology and Genetics, University of Southern California, Los Angeles, CA, USA
| | - Margaret R Karagas
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, Hanover, NH, USA
| | | | | | - Dalsu Baris
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Helena Furberg
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Dean F Bajorin
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Olivier Cussenot
- Centre de Recherche sur les Pathologies Prostatiques et Urologiques, Paris, France
| | - Geraldine Cancel-Tassin
- Centre de Recherche sur les Pathologies Prostatiques et Urologiques, Paris, France; GRC 5 Predictive Onco-Urology, Sorbonne University, Paris, France
| | - Simone Benhamou
- INSERM U1018, Research Centre on Epidemiology and Population Health, Villejuif, France
| | - Peter Kraft
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Stefano Porru
- Department of Diagnostics and Public Health, Section of Occupational Medicine, University of Verona, Verona, Italy
| | - Angela Carta
- Department of Diagnostics and Public Health, Section of Occupational Medicine, University of Verona, Verona, Italy
| | - Timothy Bishop
- Section of Epidemiology and Biostatistics, Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, UK
| | - Melissa C Southey
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Australia; Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Australia; Department of Clinical Pathology, The University of Melbourne, Parkville, Australia
| | - Giuseppe Matullo
- Department of Medical Sciences, University of Turin, Turin, Italy
| | - Tony Fletcher
- London School of Hygiene and Tropical Medicine, London, UK
| | - Rajiv Kumar
- Division of Functional Genome Analysis, German Cancer Research Center, Heidelberg, Germany
| | - Jack A Taylor
- Epidemiology Branch and Epigenetic and Stem Cell Biology Laboratory, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC, USA
| | - Philippe Lamy
- Department of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark
| | - Frederik Prip
- Department of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark
| | - Mark Kalisz
- Epithelial Carcinogenesis Group, Spanish National Cancer Research Centre (CNIO) and CIBERONC, Madrid, Spain
| | - Stephanie J Weinstein
- Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Jan G Hengstler
- Leibniz Research Centre for Working Environment and Human Factors at TU Dortmund (IfADo), Dortmund, Germany
| | - Silvia Selinski
- Leibniz Research Centre for Working Environment and Human Factors at TU Dortmund (IfADo), Dortmund, Germany
| | - Mark Harland
- Section of Epidemiology and Biostatistics, Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, UK
| | - Mark Teo
- Section of Epidemiology and Biostatistics, Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, UK
| | - Anne E Kiltie
- Rowett Institute, School of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Aberdeen, UK
| | - Adonina Tardón
- Department of Preventive Medicine, Universidad de Oviedo, ISPA and CIBERESP, Spain
| | - Consol Serra
- Center for Research in Occupational Health, Universitat Pompeu Fabra, Hospital del Mar Medical Research Institut, CIBERESP, Barcelona, Spain
| | - Alfredo Carrato
- Department of Medicine, Alcalá University, IRYCIS, CIBERONC, Madrid, Spain
| | | | - Josep Lloreta
- Hospital del Mar, Universitat Pompeu Fabra, Barcelona, Spain
| | - Alan Schned
- Department of Pathology, Dartmouth Medical School, Hanover, NH, USA
| | - Petra Lenz
- Cancer Genomics Research Laboratory, Leidos Biomedical Research, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Elio Riboli
- School of Public Health, Imperial College London, London, UK
| | - Paul Brennan
- International Agency for Research on Cancer, Lyon, France
| | | | - Thomas Otto
- Department of Urology, Rheinland Klinikum, Lukaskrankenhaus, Neuss, Germany
| | | | - Frank Volkert
- Department of Urology, Evangelic Hospital, Paul Gerhardt Foundation, Lutherstadt Wittenberg, Germany
| | - Sita H Vermeulen
- Department for Health Evidence, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Katja K Aben
- Department for Health Evidence, Radboud University Medical Center, Nijmegen, The Netherlands; Netherlands Comprehensive Cancer Organisation, Utrecht, The Netherlands
| | - Tessel E Galesloot
- Department for Health Evidence, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Constance Turman
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Immaculata De Vivo
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Medicine, Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Edward Giovannucci
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - David J Hunter
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Chancellor Hohensee
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Rebecca Hunt
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Alpa V Patel
- Population Science, American Cancer Society, Atlanta, GA, USA
| | - Wen-Yi Huang
- Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | | | - Manuela Gago-Dominguez
- Fundación Pública Galega de Medicina Xenómica, Servicio Galego de Saude, Health Research Institute of Santiago de Compostela, Santiago de Compostela, Spain
| | - Pilar Amiano
- Ministry of Health of the Basque Government, Sub Directorate for Public Health and Addictions of Gipuzkoa, San Sebastian, Spain; Biodonostia Health Research Institute, Epidemiology of Chronic and Communicable Diseases Group, San Sebastian, Spain; Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
| | - Klaus Golka
- Leibniz Research Centre for Working Environment and Human Factors at TU Dortmund (IfADo), Dortmund, Germany
| | - Mariana C Stern
- Department of Population and Public Health Sciences, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Wusheng Yan
- Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Jia Liu
- Cancer Genomics Research Laboratory, Leidos Biomedical Research, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Shengchao Alfred Li
- Cancer Genomics Research Laboratory, Leidos Biomedical Research, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Shilpa Katta
- Cancer Genomics Research Laboratory, Leidos Biomedical Research, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Amy Hutchinson
- Cancer Genomics Research Laboratory, Leidos Biomedical Research, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Belynda Hicks
- Cancer Genomics Research Laboratory, Leidos Biomedical Research, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | | | - Mark P Purdue
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Katherine A McGlynn
- Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Cari M Kitahara
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Christopher A Haiman
- Center for Genetic Epidemiology, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Mark H Greene
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | | | | | - Stephen J Chanock
- Office of the Director, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Xifeng Wu
- Zhejiang University, Hangzhou, China
| | - Francisco X Real
- Epithelial Carcinogenesis Group, Spanish National Cancer Research Centre (CNIO) and CIBERONC, Madrid, Spain; Departament de Medicina i Ciències de la Vida, Universitat Pompeu Fabra, Barcelona, Spain
| | - Debra T Silverman
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Montserrat Garcia-Closas
- Trans-Divisional Research Program, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | | | - Ludmila Prokunina-Olsson
- Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Núria Malats
- Genetic and Molecular Epidemiology Group, Spanish National Cancer Research Centre (CNIO) and CIBERONC, Madrid, Spain
| | - Nathaniel Rothman
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
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Kennedy EM, Hermetz K, Burt A, Pei D, Koestler DC, Hao K, Chen J, Gilbert-Diamond D, Ramakrishnan U, Karagas MR, Marsit CJ. Placental microRNAs relate to early childhood growth trajectories. Pediatr Res 2023; 94:341-348. [PMID: 36380070 PMCID: PMC10183479 DOI: 10.1038/s41390-022-02386-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Revised: 10/19/2022] [Accepted: 10/26/2022] [Indexed: 11/16/2022]
Abstract
BACKGROUND Poor placental function is a common cause of intrauterine growth restriction, which in turn is associated with increased risks of adverse health outcomes. Our prior work suggests that birthweight and childhood obesity-associated genetic variants functionally impact placental function and that placental microRNA are associated with birthweight. To address the influence of the placenta beyond birth, we assessed the relationship between placental microRNAs and early childhood growth. METHODS Using the SITAR package, we generated two parameters that describe individual weight trajectories of children (0-5 years) in the New Hampshire Birth Cohort Study (NHBCS, n = 238). Using negative binomial generalized linear models, we identified placental microRNAs that relate to growth parameters (FDR < 0.1), while accounting for sex, gestational age at birth, and maternal parity. RESULTS Genes targeted by the six growth trajectory-associated microRNAs are enriched (FDR < 0.05) in growth factor signaling (TGF/beta: miR-876; EGF/R: miR-155, Let-7c; FGF/R: miR-155; IGF/R: Let-7c, miR-155), calmodulin signaling (miR-216a), and NOTCH signaling (miR-629). CONCLUSIONS Growth-trajectory microRNAs target pathways affecting placental proliferation, differentiation and function. Our results suggest a role for microRNAs in regulating placental cellular dynamics and supports the Developmental Origins of Health and Disease hypothesis that fetal environment can have impacts beyond birth. IMPACT We found that growth trajectory associated placenta microRNAs target genes involved in signaling pathways central to the formation, maintenance and function of placenta; suggesting that placental cellular dynamics remain critical to infant growth to term and are under the control of microRNAs. Our results contribute to the existing body of research suggesting that the placenta plays a key role in programming health in the offspring. This is the first study to relate molecular patterns in placenta, specifically microRNAs, to early childhood growth trajectory.
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Affiliation(s)
- Elizabeth M Kennedy
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia
| | - Karen Hermetz
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia
| | - Amber Burt
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia
| | - Dong Pei
- Department of Biostatistics & Data Science, University of Kansas Medical Center, Kansas City, KS, USA
| | - Devin C Koestler
- Department of Biostatistics & Data Science, University of Kansas Medical Center, Kansas City, KS, USA
| | - Ke Hao
- Department of Genetics and Genome Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Jia Chen
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Diane Gilbert-Diamond
- Department of Epidemiology, Geisel School of Medicine, Dartmouth College, Lebanon, Hanover, NH, USA
| | - Usha Ramakrishnan
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, Georgia
| | - Margaret R Karagas
- Department of Epidemiology, Geisel School of Medicine, Dartmouth College, Lebanon, Hanover, NH, USA
- Children's Environmental Health and Disease Prevention Research Center at Dartmouth, Dartmouth College, Lebanon, Hanover, NH, USA
| | - Carmen J Marsit
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia.
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Wojcik KM, Holle AV, O'Brien KM, White AJ, Karagas MR, Levine KE, Jackson BP, Weinberg CR. Seasonal patterns in trace elements assessed in toenails. Res Sq 2023:rs.3.rs-3093700. [PMID: 37461592 PMCID: PMC10350174 DOI: 10.21203/rs.3.rs-3093700/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/27/2023]
Abstract
Seasonal patterns in measured exposure biomarkers can cause measurement error in epidemiological studies. There is little known about the seasonality of trace elements when measured in toenails. Adjusting for such patterns when estimating associations between long-term exposures and health outcomes could be needed to improve precision and reduce bias. Our goal was to assess seasonal patterns in toenail measurements of trace elements. At enrollment, Sister Study participants, who were US residents, removed polish and collected toenail clippings, which were cleaned before analysis. We measured: iron, vanadium, aluminum, chromium, manganese, cobalt, nickel, copper, zinc, arsenic, selenium, molybdenum, cadmium, tin, antimony, mercury, and lead. For a sample of the cohort we fit trigonometric regression models with toenail element measures as the outcome, using sine and cosine functions of the collection day of the year (transformed to an angle) to assess seasonality. Results were replicated in a second sample of women, with measurements done in a separate lab. There was a seasonal association between day of collection and toenail measures for iron, aluminum, vanadium, chromium, manganese, cobalt, arsenic, molybdenum, cadmium, tin, and lead, all of which peaked near mid-August. Seasonal patterns were concordant across the two samples of women. Given the evidence supporting seasonal patterns for 11 of the 17 elements measured in toenails, correcting for seasonality of toenail levels of those trace elements in models estimating the association between those exposures and health outcomes is important. The basis for higher concentrations in toenails collected during the summer remains unknown.
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Bekelman TA, Trasande L, Law A, Blackwell CK, Jacobson LP, Bastain TM, Breton CV, Elliott AJ, Ferrara A, Karagas MR, Aschner JL, Bornkamp N, Camargo CA, Comstock SS, Dunlop AL, Ganiban JM, Gern JE, Karr CJ, Kelly RS, Lyall K, O’Shea TM, Schweitzer JB, LeWinn KZ. Opportunities for understanding the COVID-19 pandemic and child health in the United States: the Environmental influences on Child Health Outcomes (ECHO) program. Front Pediatr 2023; 11:1171214. [PMID: 37397146 PMCID: PMC10308998 DOI: 10.3389/fped.2023.1171214] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Accepted: 05/30/2023] [Indexed: 07/04/2023] Open
Abstract
Objective Ongoing pediatric cohort studies offer opportunities to investigate the impact of the COVID-19 pandemic on children's health. With well-characterized data from tens of thousands of US children, the Environmental influences on Child Health Outcomes (ECHO) Program offers such an opportunity. Methods ECHO enrolled children and their caregivers from community- and clinic-based pediatric cohort studies. Extant data from each of the cohorts were pooled and harmonized. In 2019, cohorts began collecting data under a common protocol, and data collection is ongoing with a focus on early life environmental exposures and five child health domains: birth outcomes, neurodevelopment, obesity, respiratory, and positive health. In April of 2020, ECHO began collecting a questionnaire designed to assess COVID-19 infection and the pandemic's impact on families. We describe and summarize the characteristics of children who participated in the ECHO Program during the COVID-19 pandemic and novel opportunities for scientific advancement. Results This sample (n = 13,725) was diverse by child age (31% early childhood, 41% middle childhood, and 16% adolescence up to age 21), sex (49% female), race (64% White, 15% Black, 3% Asian, 2% American Indian or Alaska Native, <1% Native Hawaiian or Pacific Islander, 10% Multiple race and 2% Other race), Hispanic ethnicity (22% Hispanic), and were similarly distributed across the four United States Census regions and Puerto Rico. Conclusion ECHO data collected during the pandemic can be used to conduct solution-oriented research to inform the development of programs and policies to support child health during the pandemic and in the post-pandemic era.
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Affiliation(s)
- Traci A. Bekelman
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
| | - Leonardo Trasande
- Department of Pediatrics, Department of Environmental Medicine, New York University Grossman School of Medicine, New York, NY, United States
| | - Andrew Law
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States
| | - Courtney K. Blackwell
- Department of Medical Social Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States
| | - Lisa P. Jacobson
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States
| | - Theresa M. Bastain
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States
| | - Carrie V. Breton
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States
| | - Amy J. Elliott
- Avera Research Institute, Department of Pediatrics, University of South Dakota School of Medicine, Sioux Falls, SD, United States
| | - Assiamira Ferrara
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, United States
| | - Margaret R. Karagas
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, Hanover, NH, United States
| | - Judy L. Aschner
- Departments of Pediatrics, Albert Einstein College of Medicine, Bronx, NY, United States
- Department of Pediatrics, Hackensack Meridian School of Medicine, Nutley, NJ, United States
| | - Nicole Bornkamp
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, United States
| | - Carlos A. Camargo
- Department of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Sarah S. Comstock
- Department of Food Science and Human Nutrition, Michigan State University, East Lansing, MI, United States
| | - Anne L. Dunlop
- Department of Gynecology and Obstetrics, Emory University School of Medicine, Atlanta, GA, United States
| | - Jody M. Ganiban
- Department of Psychological and Behavioral Sciences, The George Washington University, Washington, DC, United States
| | - James E. Gern
- Department of Pediatrics, University of Wisconsin School of Medicine and Public Health, Madison, WI, United States
| | - Catherine J. Karr
- Departments of Pediatrics & Occupational and Environmental Health Sciences, University of Washington, Seattle, WA, United States
| | - Rachel S. Kelly
- Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, United States
| | - Kristen Lyall
- AJ Drexel Autism Institute, Drexel University, Philadelphia, PA, United States
| | - T. Michael O’Shea
- Department of Pediatrics, University of North Carolina School of Medicine, Chapel Hill, NC, United States
| | - Julie B. Schweitzer
- Department of Psychiatry and Behavioral Sciences, University of California Davis School of Medicine, Sacramento, CA, United States
| | - Kaja Z. LeWinn
- Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, San Francisco, CA, United States
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Laue HE, Moroishi Y, Jackson BP, Palys TJ, Baker ER, Korrick SA, Madan JC, Karagas MR. Bacterial Modification of the Association Between Arsenic and Autism-Related Social Behavior Scores. Expo Health 2023; 15:347-354. [PMID: 37840773 PMCID: PMC10569445 DOI: 10.1007/s12403-022-00494-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/03/2022] [Revised: 05/23/2022] [Accepted: 05/30/2022] [Indexed: 10/17/2023]
Abstract
Arsenic is related to neurodevelopmental outcomes and is associated with the composition of the gut microbiome. Data on the modifying role of the microbiome are limited. We probed suggestive relationships between arsenic and social behaviors to quantify the modifying role of the infant gut microbiome. We followed children for whom arsenic concentrations were quantified in 6-week-old toenail clippings. Scores on the Social Responsiveness Scale (SRS-2), which measures autism-related social behaviors, were provided by caregivers when the child was approximately 3 years of age. Metagenomic sequencing was performed on infant stools collected at 6 weeks and 1 year of age. To evaluate modification by the top ten most abundant species and functional pathways, we modeled SRS-2 total T-scores as a function of arsenic concentrations, microbiome features dichotomized at their median, and an interaction between exposure and the microbiome, adjusting for other trace elements and sociodemographic characteristics. As compared to the standardized population (SRS-2 T-scores = 50), participants in our study had lower SRS-2 scores (n = 78, mean = 44, SD = 5).The relative abundances of several functional pathways identified in 6-week stool samples modified the arsenic-SRS-2 association, including the pathways of valine and isoleucine biosynthesis; we observed no association among those with high relative abundance of each pathway [β = - 0.67 (95% CI - 1.46, 0.12)], and an adverse association [β = 1.67 (95% CI 0.3, 3.04), pinteraction= 0.05] among infants with low relative abundance. Our findings indicate the infant gut microbiome may alter neurodevelopmental susceptibility to environmental exposures.
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Affiliation(s)
- Hannah E. Laue
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, Hanover, NH, USA
- One Medical Center Dr, WTRB 700, Lebanon, NH 03766, USA
| | - Yuka Moroishi
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, Hanover, NH, USA
| | - Brian P. Jackson
- Department of Earth Sciences, Dartmouth College, Hanover, NH, USA
| | - Thomas J. Palys
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, Hanover, NH, USA
| | - Emily R. Baker
- Department of Obstetrics and Gynecology, Dartmouth-Hitchcock Medical Center, Lebanon, NH, USA
| | - Susan A. Korrick
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Juliette C. Madan
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, Hanover, NH, USA
- Division of Neonatology, Department of Pediatrics, Children’s Hospital at Dartmouth, Hanover, NH, USA
| | - Margaret R. Karagas
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, Hanover, NH, USA
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48
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Bekelman TA, Knapp EA, Dong Y, Dabelea D, Bastain TM, Breton CV, Carroll KN, Camargo CA, Davis AM, Dunlop AL, Elliott AJ, Ferrara A, Fry RC, Ganiban JM, Gilbert-Diamond D, Gilliland FD, Hedderson MM, Hipwell AE, Hockett CW, Huddleston KC, Karagas MR, Kelly N, Lai JS, Lester BM, Lucchini M, Melough MM, Mihalopoulos NL, O'Shea TM, Rundle AG, Stanford JB, VanBronkhorst S, Wright RJ, Zhao Q, Sauder KA. Sociodemographic Variation in Children's Health Behaviors During the COVID-19 Pandemic. Child Obes 2023; 19:226-238. [PMID: 35856858 PMCID: PMC10398734 DOI: 10.1089/chi.2022.0085] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
Background: Societal changes during the COVID-19 pandemic may affect children's health behaviors and exacerbate disparities. This study aimed to describe children's health behaviors during the COVID-19 pandemic, how they vary by sociodemographic characteristics, and the extent to which parent coping strategies mitigate the impact of pandemic-related financial strain on these behaviors. Methods: This study used pooled data from 50 cohorts in the Environmental influences on Child Health Outcomes Program. Children or parent proxies reported sociodemographic characteristics, health behaviors, and parent coping strategies. Results: Of 3315 children aged 3-17 years, 49% were female and 57% were non-Hispanic white. Children of parents who reported food access as a source of stress were 35% less likely to engage in a higher level of physical activity. Children of parents who changed their work schedule to care for their children had 82 fewer min/day of screen time and 13 more min/day of sleep compared with children of parents who maintained their schedule. Parents changing their work schedule were also associated with a 31% lower odds of the child consuming sugar-sweetened beverages. Conclusions: Parents experiencing pandemic-related financial strain may need additional support to promote healthy behaviors. Understanding how changes in parent work schedules support shorter screen time and longer sleep duration can inform future interventions.
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Affiliation(s)
- Traci A. Bekelman
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Emily A. Knapp
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Yanan Dong
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Dana Dabelea
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Tracy M. Bastain
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Carrie V. Breton
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Kecia N. Carroll
- Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Carlos A. Camargo
- Department of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Ann M. Davis
- Department of Pediatrics, Center for Children's Healthy Lifestyles & Nutrition, University of Kansas Medical Center, Kansas City, KS, USA
| | - Anne L. Dunlop
- Department of Gynecology and Obstetrics, Emory University School of Medicine, Atlanta, GA, USA
| | - Amy J. Elliott
- Department of Pediatrics, Avera Research Institute, University of South Dakota School of Medicine, Sioux Falls, SD, USA
| | - Assiamira Ferrara
- Kaiser Permanente Northern California Division of Research, Oakland, CA, USA
| | - Rebecca C. Fry
- Department of Environmental Sciences and Engineering, Gillings School of Global Public Health, University of North Carolina-Chapel Hill, Chapel Hill, NC, USA
| | - Jody M. Ganiban
- Department of Psychological and Brain Sciences, George Washington University, Washington, DC, USA
| | - Diane Gilbert-Diamond
- Department of Epidemiology, Medicine and Pediatrics, Geisel School of Medicine at Dartmouth, Hanover, NH, USA
| | - Frank D. Gilliland
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | | | - Alison E. Hipwell
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Christine W. Hockett
- Department of Pediatrics, Avera Research Institute, University of South Dakota School of Medicine, Sioux Falls, SD, USA
| | - Kathi C. Huddleston
- College of Health and Human Services, George Mason University, Fairfax, VA, USA
| | - Margaret R. Karagas
- Department of Epidemiology, Medicine and Pediatrics, Geisel School of Medicine at Dartmouth, Hanover, NH, USA
| | - Nichole Kelly
- Department of Counseling Psychology and Human Services, Prevention Science Institute, University of Oregon, Eugene, OR, USA
| | - Jin-Shei Lai
- Department of Medical Social Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Barry M. Lester
- Departments of Pediatrics and Psychiatry, Center for the Study of Children at Risk, Alpert Medical School of Brown University and Women and Infants Hospital, Providence, RI, USA
| | - Maristella Lucchini
- Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA
| | - Melissa M. Melough
- Center for Child Health, Behavior and Development, Seattle Children's Research Institute, Seattle, WA, USA
| | | | - T. Michael O'Shea
- Department of Pediatrics, University of North Carolina School of Medicine, Chapel Hill, NC, USA
| | - Andrew G. Rundle
- Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Joseph B. Stanford
- Department of Family and Preventive Medicine, University of Utah, Salt Lake City, UT, USA
| | - Sara VanBronkhorst
- Division of Child and Adolescent Psychiatry, New York State Psychiatric Institute, Columbia University Medical Center, New York, NY, USA
| | - Rosalind J. Wright
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Qi Zhao
- Department of Preventive Medicine, College of Medicine, University of Tennessee Health Science Center, Memphis, TN, USA
| | - Katherine A. Sauder
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
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49
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Liu Y, Wosu AC, Fleisch AF, Dunlop AL, Starling AP, Ferrara A, Dabelea D, Oken E, Buckley JP, Chatzi L, Karagas MR, Romano ME, Schantz S, O’Connor TG, Woodruff TJ, Zhu Y, Hamra GB, Braun JM. Associations of Gestational Perfluoroalkyl Substances Exposure with Early Childhood BMI z-Scores and Risk of Overweight/Obesity: Results from the ECHO Cohorts. Environ Health Perspect 2023; 131:67001. [PMID: 37283528 PMCID: PMC10246497 DOI: 10.1289/ehp11545] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Revised: 04/05/2023] [Accepted: 04/07/2023] [Indexed: 06/08/2023]
Abstract
BACKGROUND Gestational per- and polyfluoroalkyl substances (PFAS) exposure may be associated with adiposity and increased risk of obesity among children and adolescents. However, results from epidemiological studies evaluating these associations are inconsistent. OBJECTIVES We estimated the associations of pregnancy PFAS concentrations with child body mass index (BMI) z -scores and risk of overweight/obesity in eight U.S. cohorts. METHODS We used data from 1,391 mother-child pairs who enrolled in eight Environmental influences on Child Health Outcomes (ECHO) cohorts (enrolled: 1999-2019). We quantified concentrations of seven PFAS in maternal plasma or serum in pregnancy. We measured child weight and height between the ages of 2 and 5 y and calculated age- and sex-specific BMI z -scores; 19.6% children had more than one BMI measurement. We estimated covariate-adjusted associations of individual PFAS and their mixture with child BMI z -scores and risk of overweight/obesity using linear mixed models, modified Poisson regression models, and Bayesian approaches for mixtures. We explored whether child sex modified these associations. RESULTS We observed a pattern of subtle positive associations of PFAS concentrations in pregnancy with BMI z -scores and risk of overweight/obesity. For instance, each doubling in perfluorohexane sulfonic acid concentrations was associated with higher BMI z -scores (β = 0.07 ; 95% CI: 0.01, 0.12). Each doubling in perfluroundecanoic acid [relative risk ( RR ) = 1.10 ; 95% CI: 1.04, 1.16] and N -methyl perfluorooctane sulfonamido acetic acid (RR = 1.06 ; 95% CI: 1.00, 1.12) was associated with increased risk of overweight/obesity, with some evidence of a monotonic dose-response relation. We observed weaker and more imprecise associations of the PFAS mixture with BMI or risk of overweight/obesity. Associations did not differ by child sex. DISCUSSION In eight U.S.-based prospective cohorts, gestational exposure to higher levels of PFAS were associated with slightly higher childhood BMI z -score and risk of overweight or obesity. Future studies should examine associations of gestational exposure to PFAS with adiposity and related cardiometabolic consequences in older children. https://doi.org/10.1289/EHP11545.
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Affiliation(s)
- Yun Liu
- Department of Epidemiology, Brown University School of Public Health, Providence, Rhode Island, USA
| | - Adaeze C. Wosu
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Abby F. Fleisch
- Pediatric Endocrinology and Diabetes, Maine Medical Center and Maine Medical Center Research Institute, Portland, Maine, USA
- Center for Outcomes Research and Evaluation, Maine Medical Center and Maine Medical Center Research Institute, Portland, Maine, USA
| | - Anne L. Dunlop
- Department of Gynecology and Obstetrics, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Anne P. Starling
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
- Lifecourse Epidemiology of Adiposity and Diabetes Center, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Assiamira Ferrara
- Division of Research, Kaiser Permanente Northern California, Oakland, California, USA
| | - Dana Dabelea
- Lifecourse Epidemiology of Adiposity and Diabetes Center, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Emily Oken
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA
| | - Jessie P. Buckley
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
- Department of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Leda Chatzi
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Margaret R. Karagas
- Department of Epidemiology, Geisel School of Medicine, Dartmouth College, Hanover, New Hampshire, USA
| | - Megan E. Romano
- Department of Epidemiology, Geisel School of Medicine, Dartmouth College, Hanover, New Hampshire, USA
| | - Susan Schantz
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - Thomas G. O’Connor
- Department of Psychiatry, University of Rochester, Rochester, New York, USA
| | - Tracey J. Woodruff
- Program on Reproductive Health and the Environment, Department of Obstetrics, Gynecology and Reproductive Sciences, University of California, San Francisco, San Francisco, California, USA
| | - Yeyi Zhu
- Lifecourse Epidemiology of Adiposity and Diabetes Center, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Ghassan B. Hamra
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Joseph M. Braun
- Department of Epidemiology, Brown University School of Public Health, Providence, Rhode Island, USA
| | - and the program collaborators for Environmental influences on Child Health Outcomes
- Department of Epidemiology, Brown University School of Public Health, Providence, Rhode Island, USA
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
- Pediatric Endocrinology and Diabetes, Maine Medical Center and Maine Medical Center Research Institute, Portland, Maine, USA
- Center for Outcomes Research and Evaluation, Maine Medical Center and Maine Medical Center Research Institute, Portland, Maine, USA
- Department of Gynecology and Obstetrics, Emory University School of Medicine, Atlanta, Georgia, USA
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
- Lifecourse Epidemiology of Adiposity and Diabetes Center, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
- Division of Research, Kaiser Permanente Northern California, Oakland, California, USA
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA
- Department of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
- Department of Epidemiology, Geisel School of Medicine, Dartmouth College, Hanover, New Hampshire, USA
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
- Department of Psychiatry, University of Rochester, Rochester, New York, USA
- Program on Reproductive Health and the Environment, Department of Obstetrics, Gynecology and Reproductive Sciences, University of California, San Francisco, San Francisco, California, USA
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50
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Wang Y, Howe C, Gallagher LG, Botelho JC, Calafat AM, Karagas MR, Romano ME. Per- and Polyfluoroalkyl Substances (PFAS) Mixture during Pregnancy and Postpartum Weight Retention in the New Hampshire Birth Cohort Study (NHBCS). Toxics 2023; 11:450. [PMID: 37235264 PMCID: PMC10223499 DOI: 10.3390/toxics11050450] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/02/2023] [Revised: 05/01/2023] [Accepted: 05/04/2023] [Indexed: 05/28/2023]
Abstract
Per- and polyfluoroalkyl substances (PFAS), widely used in industrial and consumer products, are suspected metabolic disruptors. We examined the association between a PFAS mixture during pregnancy and postpartum weight retention in 482 participants from the New Hampshire Birth Cohort Study. PFAS concentrations, including perfluorohexane sulfonate, perfluorooctane sulfonate (PFOS), perfluorooctanoate (PFOA), perfluorononanoate (PFNA), and perfluorodecanoate, were quantified in maternal plasma collected at ~28 gestational weeks. Postpartum weight change was calculated as the difference between self-reported weight from a postpartum survey administered in 2020 and pre-pregnancy weight abstracted from medical records. Associations between PFAS and postpartum weight change were examined using Bayesian kernel machine regression and multivariable linear regression, adjusting for demographic, reproductive, dietary, and physical activity factors; gestational week of blood sample collection; and enrollment year. PFOS, PFOA, and PFNA were positively associated with postpartum weight retention, and associations were stronger among participants with a higher pre-pregnancy body mass index. A doubling of PFOS, PFOA, and PFNA concentrations was associated with a 1.76 kg (95%CI: 0.31, 3.22), 1.39 kg (-0.27, 3.04), and 1.04 kg (-0.19, 2.28) greater postpartum weight retention, respectively, among participants who had obesity/overweight prior to pregnancy. Prenatal PFAS exposure may be associated with increased postpartum weight retention.
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Affiliation(s)
- Yuting Wang
- Department of Epidemiology, The Geisel School of Medicine at Dartmouth, Lebanon, NH 03755, USA
| | - Caitlin Howe
- Department of Epidemiology, The Geisel School of Medicine at Dartmouth, Lebanon, NH 03755, USA
| | - Lisa G. Gallagher
- Department of Epidemiology, The Geisel School of Medicine at Dartmouth, Lebanon, NH 03755, USA
| | - Julianne Cook Botelho
- Division of Laboratory Sciences, Centers for Disease Control and Prevention, Atlanta, GA 30341, USA
| | - Antonia M. Calafat
- Division of Laboratory Sciences, Centers for Disease Control and Prevention, Atlanta, GA 30341, USA
| | - Margaret R. Karagas
- Department of Epidemiology, The Geisel School of Medicine at Dartmouth, Lebanon, NH 03755, USA
| | - Megan E. Romano
- Department of Epidemiology, The Geisel School of Medicine at Dartmouth, Lebanon, NH 03755, USA
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