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Suthar H, Tanghal RB, Chatzi L, Goodrich JA, Morello-Frosch R, Aung M. Metabolic Perturbations Associated with both PFAS Exposure and Perinatal/Antenatal Depression in Pregnant Individuals: A Meet-in-the-Middle Scoping Review. Curr Environ Health Rep 2024:10.1007/s40572-024-00451-w. [PMID: 38898328 DOI: 10.1007/s40572-024-00451-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/27/2024] [Indexed: 06/21/2024]
Abstract
PURPOSE OF REVIEW Depression during the perinatal or antenatal period affects at least 1 in 10 women worldwide, with long term health implications for the mother and child. Concurrently, there is increasing evidence associating maternal exposure to per- and poly-fluoroalkyl substances (PFAS) to adverse pregnancy outcomes. We reviewed the body of evidence examining both the associations between PFAS exposure and perturbations in the maternal metabolome, and the associations between the maternal metabolome and perinatal/antenatal depression. Through this, we sought to explore existing evidence of the perinatal metabolome as a potential mediation pathway linking PFAS exposure and perinatal/antenatal depression. RECENT FINDINGS There are few studies examining the metabolomics of PFAS exposure-specifically in pregnant women-and the metabolomics of perinatal/antenatal depression, let alone studies examining both simultaneously. Of the studies reviewed (N = 11), the majority were cross sectional, based outside of the US, and conducted on largely homogenous populations. Our review identified 23 metabolic pathways in the perinatal metabolome common to both PFAS exposure and perinatal/antenatal depression. Future studies may consider findings from our review to conduct literature-derived hypothesis testing focusing on fatty acid metabolism, alanine metabolism, glutamate metabolism, and tyrosine metabolism when exploring the biochemical mechanisms conferring the risk of perinatal/antenatal depression due to PFAS exposure. We recommend that researchers also utilize heterogenous populations, longitudinal study designs, and mediation approaches to elucidate key pathways linking PFAS exposures to perinatal/antenatal depression.
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Affiliation(s)
- Himal Suthar
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, SSB 225R, 1845 N Soto St., Los Angeles, CA, 90032, USA
| | - Roselyn B Tanghal
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, SSB 225R, 1845 N Soto St., Los Angeles, CA, 90032, USA
| | - Lida Chatzi
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, SSB 225R, 1845 N Soto St., Los Angeles, CA, 90032, USA
| | - Jesse A Goodrich
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, SSB 225R, 1845 N Soto St., Los Angeles, CA, 90032, USA
| | - Rachel Morello-Frosch
- Department of Environmental Science, Policy, and Management, University of California, 130 Mulford Hall #3114, Berkeley, CA, 94720, USA
| | - Max Aung
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, SSB 225R, 1845 N Soto St., Los Angeles, CA, 90032, USA.
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Parenti M, Schmidt RJ, Tancredi DJ, Hertz-Picciotto I, Walker CK, Slupsky CM. Neurodevelopment and Metabolism in the Maternal-Placental-Fetal Unit. JAMA Netw Open 2024; 7:e2413399. [PMID: 38805224 PMCID: PMC11134213 DOI: 10.1001/jamanetworkopen.2024.13399] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/16/2024] [Accepted: 03/26/2024] [Indexed: 05/29/2024] Open
Abstract
Importance Disturbances in maternal, placental, and fetal metabolism are associated with developmental outcomes. Associations of maternal, placental, and fetal metabolism with subsequent neurodevelopmental outcomes in the child are understudied. Objective To investigate the metabolic associations within the maternal-placental-fetal unit and subsequent neurodevelopmental outcomes in younger siblings of children with autism spectrum disorder (ASD). Design, Setting, and Participants This cohort study was conducted within a subset of the Markers of Autism Risk in Babies, Learning Early Signs (MARBLES) cohort. MARBLES is a prospective birth cohort of younger siblings of children with ASD assessed for neurodevelopmental outcomes at approximately age 36 months. Participants in MARBLES were recruited through the UC Davis MIND Institute. This subset of the MARBLES cohort included younger siblings born between 2009 and 2015. Maternal third trimester serum, placental tissue, and umbilical cord serum samples were collected from participants. Only pregnancies with at least 2 of these sample types were included in this analysis. Data analysis was conducted from March 1, 2023, to March 15, 2024. Exposures Quantitative metabolomics analysis was conducted on maternal third trimester serum, as well as placental tissue and umbilical cord serum collected at delivery. Main Outcomes and Measures Using the Autism Diagnostic Observation Schedule and Mullen Scales of Early Learning, outcomes were classified as ASD, other nontypical development (non-TD), and typical development (TD). Results This analysis included 100 maternal serum samples, 141 placental samples, and 124 umbilical cord serum samples from 152 pregnancies (median [IQR] maternal age, 34.6 [30.8-38.3] years; median [IQR] gestational age, 39.0 [38.6-39.7] weeks; 87 [57.2%] male infants). There was no evidence that the maternal third trimester serum metabolome was significantly associated with the other metabolomes. The placental and cord serum metabolomes were highly correlated (first latent variate pair: R2 = 0.75; P < .001) and the variate scores for each tissue were significantly associated with reduced risk of non-TD (placenta: relative risk [RR], 0.13; 95% CI, 0.02-0.71; cord: RR, 0.13; 95% CI, 0.03-0.70) but not ASD (placenta: RR, 1.09; 95% CI, 0.42-2.81; cord: RR, 0.63; 95% CI, 0.23-1.73) compared with the TD reference group. Conclusions and Relevance In this cohort study of children with high familial risk of ASD, placental and cord serum metabolism at delivery were highly correlated. Furthermore, placental and cord serum metabolic profiles were associated with risk of non-TD.
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Affiliation(s)
- Mariana Parenti
- Department of Nutrition, University of California, Davis
- Now with Center for Developmental Biology and Regenerative Medicine, Seattle Children’s Research Institute, Seattle, Washington
| | - Rebecca J. Schmidt
- Department of Public Health Sciences, University of California, Davis
- MIND Institute, University of California, Davis, Sacramento
| | - Daniel J. Tancredi
- Department of Pediatrics, School of Medicine, University of California, Davis
| | - Irva Hertz-Picciotto
- Department of Public Health Sciences, University of California, Davis
- MIND Institute, University of California, Davis, Sacramento
| | - Cheryl K. Walker
- MIND Institute, University of California, Davis, Sacramento
- Department of Obstetrics & Gynecology, School of Medicine, University of California, Davis, Sacramento
| | - Carolyn M. Slupsky
- Department of Nutrition, University of California, Davis
- Department of Food Science and Technology, University of California, Davis
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Vacy K, Thomson S, Moore A, Eisner A, Tanner S, Pham C, Saffery R, Mansell T, Burgner D, Collier F, Vuillermin P, O'Hely M, Boon WC, Meikle P, Burugupalli S, Ponsonby AL. Cord blood lipid correlation network profiles are associated with subsequent attention-deficit/hyperactivity disorder and autism spectrum disorder symptoms at 2 years: a prospective birth cohort study. EBioMedicine 2024; 100:104949. [PMID: 38199043 PMCID: PMC10825361 DOI: 10.1016/j.ebiom.2023.104949] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Revised: 12/18/2023] [Accepted: 12/18/2023] [Indexed: 01/12/2024] Open
Abstract
BACKGROUND Attention-deficit/hyperactivity disorder (ADHD) and autism spectrum disorder (ASD) are neurodevelopmental conditions with early life origins. Alterations in blood lipids have been linked to ADHD and ASD; however, prospective early life data are limited. This study examined (i) associations between the cord blood lipidome and ADHD/ASD symptoms at 2 years of age, (ii) associations between prenatal and perinatal predictors of ADHD/ASD symptoms and cord blood lipidome, and (iii) mediation by the cord blood lipidome. METHODS From the Barwon Infant Study cohort (1074 mother-child pairs, 52.3% male children), child circulating lipid levels at birth were analysed using ultra-high-performance liquid chromatography-tandem mass spectrometry. These were clustered into lipid network modules via Weighted Gene Correlation Network Analysis. Associations between lipid modules and ADHD/ASD symptoms at 2 years, assessed with the Child Behavior Checklist, were explored via linear regression analyses. Mediation analysis identified indirect effects of prenatal and perinatal risk factors on ADHD/ASD symptoms through lipid modules. FINDINGS The acylcarnitine lipid module is associated with both ADHD and ASD symptoms at 2 years of age. Risk factors of these outcomes such as low income, Apgar score, and maternal inflammation were partly mediated by higher birth acylcarnitine levels. Other cord blood lipid profiles were also associated with ADHD and ASD symptoms. INTERPRETATION This study highlights that elevated cord blood birth acylcarnitine levels, either directly or as a possible marker of disrupted cell energy metabolism, are on the causal pathway of prenatal and perinatal risk factors for ADHD and ASD symptoms in early life. FUNDING The foundational work and infrastructure for the BIS was sponsored by the Murdoch Children's Research Institute, Deakin University, and Barwon Health. Subsequent funding was secured from the Minderoo Foundation, the European Union's Horizon 2020 research and innovation programme (ENDpoiNTs: No 825759), National Health and Medical Research Council of Australia (NHMRC) and Agency for Science, Technology and Research Singapore [APP1149047], The William and Vera Ellen Houston Memorial Trust Fund (via HOMER Hack), The Shepherd Foundation, The Jack Brockhoff Foundation, the Scobie & Claire McKinnon Trust, the Shane O'Brien Memorial Asthma Foundation, the Our Women Our Children's Fund Raising Committee Barwon Health, the Rotary Club of Geelong, the Ilhan Food Allergy Foundation, Geelong Medical and Hospital Benefits Association, Vanguard Investments Australia Ltd, the Percy Baxter Charitable Trust, and Perpetual Trustees.
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Affiliation(s)
- Kristina Vacy
- Florey Institute of Neuroscience and Mental Health, University of Melbourne, Parkville 3010, Australia; Melbourne School of Population and Global Health, University of Melbourne, Parkville 3010, Australia
| | - Sarah Thomson
- Florey Institute of Neuroscience and Mental Health, University of Melbourne, Parkville 3010, Australia
| | - Archer Moore
- Melbourne School of Mathematics and Statistics, University of Melbourne, Parkville 3010, Australia
| | - Alex Eisner
- Florey Institute of Neuroscience and Mental Health, University of Melbourne, Parkville 3010, Australia
| | - Sam Tanner
- Florey Institute of Neuroscience and Mental Health, University of Melbourne, Parkville 3010, Australia
| | - Cindy Pham
- Murdoch Children's Research Institute, Royal Children's Hospital, Parkville 3010, Australia; Department of Paediatrics, University of Melbourne, Parkville 3010, Australia
| | - Richard Saffery
- Murdoch Children's Research Institute, Royal Children's Hospital, Parkville 3010, Australia; Department of Paediatrics, University of Melbourne, Parkville 3010, Australia
| | - Toby Mansell
- Murdoch Children's Research Institute, Royal Children's Hospital, Parkville 3010, Australia; Department of Paediatrics, University of Melbourne, Parkville 3010, Australia
| | - David Burgner
- Murdoch Children's Research Institute, Royal Children's Hospital, Parkville 3010, Australia; Department of Paediatrics, University of Melbourne, Parkville 3010, Australia; Department of Paediatrics, Monash University, Clayton 3168, Australia
| | - Fiona Collier
- Child Health Research Unit, Barwon Health, Geelong 3220, Australia; School of Medicine, Deakin University, Geelong 3220, Australia
| | - Peter Vuillermin
- Child Health Research Unit, Barwon Health, Geelong 3220, Australia
| | - Martin O'Hely
- Murdoch Children's Research Institute, Royal Children's Hospital, Parkville 3010, Australia; School of Medicine, Deakin University, Geelong 3220, Australia
| | - Wah Chin Boon
- Florey Institute of Neuroscience and Mental Health, University of Melbourne, Parkville 3010, Australia
| | - Peter Meikle
- Metabolomics Laboratory, Baker Heart and Diabetes Institute, Melbourne 3004, Australia; Baker Department of Cardiovascular Research, Translation and Implementation, La Trobe University, Bundoora, VIC 3086, Australia
| | - Satvika Burugupalli
- Metabolomics Laboratory, Baker Heart and Diabetes Institute, Melbourne 3004, Australia
| | - Anne-Louise Ponsonby
- Florey Institute of Neuroscience and Mental Health, University of Melbourne, Parkville 3010, Australia; Murdoch Children's Research Institute, Royal Children's Hospital, Parkville 3010, Australia; Department of Paediatrics, University of Melbourne, Parkville 3010, Australia.
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Smith AM, Donley ELR, Ney DM, Amaral DG, Burrier RE, Natowicz MR. Metabolomic biomarkers in autism: identification of complex dysregulations of cellular bioenergetics. Front Psychiatry 2023; 14:1249578. [PMID: 37928922 PMCID: PMC10622772 DOI: 10.3389/fpsyt.2023.1249578] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Accepted: 08/30/2023] [Indexed: 11/07/2023] Open
Abstract
Autism Spectrum Disorder (ASD or autism) is a phenotypically and etiologically heterogeneous condition. Identifying biomarkers of clinically significant metabolic subtypes of autism could improve understanding of its underlying pathophysiology and potentially lead to more targeted interventions. We hypothesized that the application of metabolite-based biomarker techniques using decision thresholds derived from quantitative measurements could identify autism-associated subpopulations. Metabolomic profiling was carried out in a case-control study of 499 autistic and 209 typically developing (TYP) children, ages 18-48 months, enrolled in the Children's Autism Metabolome Project (CAMP; ClinicalTrials.gov Identifier: NCT02548442). Fifty-four metabolites, associated with amino acid, organic acid, acylcarnitine and purine metabolism as well as microbiome-associated metabolites, were quantified using liquid chromatography-tandem mass spectrometry. Using quantitative thresholds, the concentrations of 4 metabolites and 149 ratios of metabolites were identified as biomarkers, each identifying subpopulations of 4.5-11% of the CAMP autistic population. A subset of 42 biomarkers could identify CAMP autistic individuals with 72% sensitivity and 90% specificity. Many participants were identified by several metabolic biomarkers. Using hierarchical clustering, 30 clusters of biomarkers were created based on participants' biomarker profiles. Metabolic changes associated with the clusters suggest that altered regulation of cellular metabolism, especially of mitochondrial bioenergetics, were common metabolic phenotypes in this cohort of autistic participants. Autism severity and cognitive and developmental impairment were associated with increased lactate, many lactate containing ratios, and the number of biomarker clusters a participant displayed. These studies provide evidence that metabolic phenotyping is feasible and that defined autistic subgroups can lead to enhanced understanding of the underlying pathophysiology and potentially suggest pathways for targeted metabolic treatments.
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Affiliation(s)
- Alan M. Smith
- Stemina Biomarker Discovery, Inc, Madison, WI, United States
| | | | - Denise M. Ney
- Department of Nutritional Sciences, University of Wisconsin-Madison, Madison, WI, United States
| | - David G. Amaral
- Department of Psychiatry and Behavioral Sciences, The MIND Institute, University of California, Davis, Davis, CA, United States
| | | | - Marvin R. Natowicz
- Pathology and Laboratory Medicine, Genomic Medicine, Neurological and Pediatrics Institutes, Cleveland Clinic, Cleveland, OH, United States
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Jena A, Montoya CA, Fraser K, Giezenaar C, Young W, Mullaney JA, Dilger RN, Roy D, McNabb WC, Roy NC. Metabolite profiling of peripheral blood plasma in pigs in early postnatal life fed whole bovine, caprine or ovine milk. Front Nutr 2023; 10:1242301. [PMID: 37823089 PMCID: PMC10564076 DOI: 10.3389/fnut.2023.1242301] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2023] [Accepted: 09/13/2023] [Indexed: 10/13/2023] Open
Abstract
Ruminants' milk is commonly used for supplying nutrients to infants when breast milk is unavailable or limited. Previous studies have highlighted the differences between ruminants' milk composition, digestion, absorption, and fermentation. However, whether consuming different ruminants' milk impact the appearance of the circulatory blood metabolites in the early postnatal life is not well understood. The analysis conducted here aimed to determine the effect of feeding exclusively whole milk from bovine, caprine or ovine species to pigs, approximately 7 days-old for 15 days, on circulatory blood plasma metabolites. Relative intensities of plasma metabolites were detected using a liquid chromatography-mass spectrometry based metabolomic approach. Seven polar and 83 non-polar (lipids) metabolites in plasma were significantly different (false discovery rate < 0.05) between milk treatments. These included polar metabolites involved in amino acid metabolism and lipids belonging to phosphatidylcholine, lysophosphatidylcholine, sphingomyelin, and triglycerides. Compared to the caprine or bovine milk group, the relative intensities of polar metabolites and unsaturated triglycerides were higher in the peripheral circulation of the ovine milk group. In contrast, relative intensities of saturated triglycerides and phosphatidylcholine were higher in the bovine milk group compared to the ovine or caprine milk group. In addition, correlations were identified between amino acid and lipid intake and their appearance in peripheral blood circulation. The results highlighted that consuming different ruminants' milk influences the plasma appearance of metabolites, especially lipids, that may contribute to early postnatal life development in pigs.
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Affiliation(s)
- Ankita Jena
- Riddet Institute, Massey University, Palmerston North, New Zealand
- School of Food and Advanced Technology, College of Sciences, Massey University, Palmerston North, New Zealand
- AgResearch, Palmerston North, New Zealand
| | - Carlos A. Montoya
- Riddet Institute, Massey University, Palmerston North, New Zealand
- AgResearch, Palmerston North, New Zealand
| | - Karl Fraser
- Riddet Institute, Massey University, Palmerston North, New Zealand
- AgResearch, Palmerston North, New Zealand
- High-Value Nutrition National Science Challenge, Auckland, New Zealand
| | - Caroline Giezenaar
- Riddet Institute, Massey University, Palmerston North, New Zealand
- Food Experience and Sensory Testing (FEAST) Laboratory, School of Food and Advanced Technology, Massey University, Palmerston North, New Zealand
| | - Wayne Young
- Riddet Institute, Massey University, Palmerston North, New Zealand
- AgResearch, Palmerston North, New Zealand
- High-Value Nutrition National Science Challenge, Auckland, New Zealand
| | - Jane A. Mullaney
- Riddet Institute, Massey University, Palmerston North, New Zealand
- AgResearch, Palmerston North, New Zealand
- High-Value Nutrition National Science Challenge, Auckland, New Zealand
| | - Ryan N. Dilger
- Department of Animal Sciences, University of Illinois, Urbana, IL, United States
| | - Debashree Roy
- Riddet Institute, Massey University, Palmerston North, New Zealand
| | - Warren C. McNabb
- Riddet Institute, Massey University, Palmerston North, New Zealand
- High-Value Nutrition National Science Challenge, Auckland, New Zealand
| | - Nicole C. Roy
- Riddet Institute, Massey University, Palmerston North, New Zealand
- High-Value Nutrition National Science Challenge, Auckland, New Zealand
- Department of Human Nutrition, University of Otago, Dunedin, New Zealand
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6
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Ma YH, Shen LX, Li YZ, Leng Y, Yang L, Chen SD, He XY, Zhang YR, Chen RJ, Feng JF, Tan L, Dong Q, Suckling J, David Smith A, Cheng W, Yu JT. Lung function and risk of incident dementia: A prospective cohort study of 431,834 individuals. Brain Behav Immun 2023; 109:321-330. [PMID: 36796705 DOI: 10.1016/j.bbi.2023.02.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/11/2022] [Revised: 01/26/2023] [Accepted: 02/10/2023] [Indexed: 02/16/2023] Open
Abstract
BACKGROUND Whether lung function prospectively affects cognitive brain health independent of their overlapping factors remains largely unknown. This study aimed to investigate the longitudinal association between decreased lung function and cognitive brain health and to explore underlying biological and brain structural mechanisms. METHODS This population-based cohort included 43,1834 non-demented participants with spirometry from the UK Biobank. Cox proportional hazard models were fitted to estimate the risk of incident dementia for individuals with low lung function. Mediation models were regressed to explore the underlying mechanisms driven by inflammatory markers, oxygen-carrying indices, metabolites, and brain structures. FINDINGS During a follow-up of 3,736,181 person-years (mean follow-up 8.65 years), 5,622 participants (1.30 %) developed all-cause dementia, which consisted of 2,511 Alzheimer's dementia (AD) and 1,308 Vascular Dementia (VD) cases. Per unit decrease in lung function measure was each associated with increased risk for all-cause dementia (forced expiratory volume in 1 s [liter]: hazard ratio [HR, 95 %CI], 1.24 [1.14-1.34], P = 1.10 × 10-07; forced vital capacity [liter]: 1.16 [1.08-1.24], P = 2.04 × 10-05; peak expiratory flow [liter/min]: 1.0013 [1.0010-1.0017], P = 2.73 × 10-13). Low lung function generated similar hazard estimates for AD and VD risks. As underlying biological mechanisms, systematic inflammatory markers, oxygen-carrying indices, and specific metabolites mediated the effects of lung function on dementia risks. Besides, brain grey and white matter patterns mostly affected in dementia were substantially changed with lung function. INTERPRETATION Life-course risk for incident dementia was modulated by individual lung function. Maintaining optimal lung function is useful for healthy aging and dementia prevention.
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Affiliation(s)
- Ya-Hui Ma
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China; Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, National Center for Neurological Disorders, Shanghai, China
| | - Ling-Xiao Shen
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, National Center for Neurological Disorders, Shanghai, China
| | - Yu-Zhu Li
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
| | - Yue Leng
- Department of Psychiatry, University of California, San Francisco, CA, USA
| | - Liu Yang
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, National Center for Neurological Disorders, Shanghai, China
| | - Shi-Dong Chen
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, National Center for Neurological Disorders, Shanghai, China
| | - Xiao-Yu He
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, National Center for Neurological Disorders, Shanghai, China
| | - Ya-Ru Zhang
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, National Center for Neurological Disorders, Shanghai, China
| | - Ren-Jie Chen
- School of Public Health, Fudan University, Shanghai, China
| | - Jian-Feng Feng
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China; Department of Computer Science, University of Warwick, Coventry, United Kingdom; School of Mathematical Sciences, Fudan University, Shanghai, China
| | - Lan Tan
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Qiang Dong
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, National Center for Neurological Disorders, Shanghai, China
| | - John Suckling
- Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom
| | - A David Smith
- Department of Pharmacology, University of Oxford, Oxford OX1 3QT, United Kingdom
| | - Wei Cheng
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
| | - Jin-Tai Yu
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, National Center for Neurological Disorders, Shanghai, China.
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7
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Prutton KM, Marentette JO, Maclean KN, Roede JR. Characterization of mitochondrial and metabolic alterations induced by trisomy 21 during neural differentiation. Free Radic Biol Med 2023; 196:11-21. [PMID: 36638900 PMCID: PMC9898228 DOI: 10.1016/j.freeradbiomed.2023.01.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Revised: 01/03/2023] [Accepted: 01/08/2023] [Indexed: 01/11/2023]
Abstract
Cellular redox state directs differentiation of induced pluripotent stem cells (iPSC) by energy metabolism control and ROS generation. As oxidative stress and mitochondrial dysfunction have been extensively reported in Down syndrome (DS), we evaluated mitochondrial phenotypes and energy metabolism during neural differentiation of DS iPSCs to neural progenitor cells (NPCs). Our results indicate early maturation of mitochondrial networks and elevated NADPH oxidase 4 (NOX4) expression in DS iPSCs. DS cells also fail to transition from glycolysis to oxidative phosphorylation during differentiation. Specifically, DS NPCs show an increased energetic demand that is limited in their mitochondrial and glycolytic response to mitochondrial distress. Additionally, DS iPSC and NPC non-mitochondrial oxygen consumption was significantly impacted by NOX inhibition. Together, these data build upon previous evidence of accelerated neural differentiation in DS that correlates with cellular redox state. We demonstrate the potential for mitochondrial and non-mitochondrial ROS sources to impact differentiation timing in the context of DS, which could contribute to developmental deficits in this condition.
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Affiliation(s)
- Kendra M Prutton
- Department of Pharmaceutical Sciences, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of Colorado, Aurora, CO, USA; Linda Crnic Institute for Down Syndrome, Aurora, CO, USA
| | - John O Marentette
- Department of Pharmaceutical Sciences, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of Colorado, Aurora, CO, USA; Linda Crnic Institute for Down Syndrome, Aurora, CO, USA
| | - Kenneth N Maclean
- Linda Crnic Institute for Down Syndrome, Aurora, CO, USA; Department of Pediatrics, School of Medicine, University of Colorado, Aurora, CO, USA
| | - James R Roede
- Department of Pharmaceutical Sciences, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of Colorado, Aurora, CO, USA; Linda Crnic Institute for Down Syndrome, Aurora, CO, USA.
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8
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Brister D, Rose S, Delhey L, Tippett M, Jin Y, Gu H, Frye RE. Metabolomic Signatures of Autism Spectrum Disorder. J Pers Med 2022; 12:1727. [PMID: 36294866 PMCID: PMC9604590 DOI: 10.3390/jpm12101727] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2022] [Revised: 10/10/2022] [Accepted: 10/12/2022] [Indexed: 09/10/2023] Open
Abstract
Autism Spectrum Disorder (ASD) is associated with many variations in metabolism, but the ex-act correlates of these metabolic disturbances with behavior and development and their links to other core metabolic disruptions are understudied. In this study, large-scale targeted LC-MS/MS metabolomic analysis was conducted on fasting morning plasma samples from 57 children with ASD (29 with neurodevelopmental regression, NDR) and 37 healthy controls of similar age and gender. Linear model determined the metabolic signatures of ASD with and without NDR, measures of behavior and neurodevelopment, as well as markers of oxidative stress, inflammation, redox, methylation, and mitochondrial metabolism. MetaboAnalyst ver 5.0 (the Wishart Research Group at the University of Alberta, Edmonton, Canada) identified the pathways associated with altered metabolic signatures. Differences in histidine and glutathione metabolism as well as aromatic amino acid (AAA) biosynthesis differentiated ASD from controls. NDR was associated with disruption in nicotinamide and energy metabolism. Sleep and neurodevelopment were associated with energy metabolism while neurodevelopment was also associated with purine metabolism and aminoacyl-tRNA biosynthesis. While behavior was as-sociated with some of the same pathways as neurodevelopment, it was also associated with alternations in neurotransmitter metabolism. Alterations in methylation was associated with aminoacyl-tRNA biosynthesis and branched chain amino acid (BCAA) and nicotinamide metabolism. Alterations in glutathione metabolism was associated with changes in glycine, serine and threonine, BCAA and AAA metabolism. Markers of oxidative stress and inflammation were as-sociated with energy metabolism and aminoacyl-tRNA biosynthesis. Alterations in mitochondrial metabolism was associated with alterations in energy metabolism and L-glutamine. Using behavioral and biochemical markers, this study finds convergent disturbances in specific metabolic pathways with ASD, particularly changes in energy, nicotinamide, neurotransmitters, and BCAA, as well as aminoacyl-tRNA biosynthesis.
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Affiliation(s)
- Danielle Brister
- College of Liberal Arts and Sciences, School of Molecular Sciences, Arizona State University, Tempe, AZ 85281, USA
| | - Shannon Rose
- Arkansas Children’s Research Institute and Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, AR 72202, USA
| | - Leanna Delhey
- Arkansas Children’s Research Institute and Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, AR 72202, USA
| | - Marie Tippett
- Arkansas Children’s Research Institute and Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, AR 72202, USA
| | - Yan Jin
- Center for Translational Science, Florida International University, Port St. Lucie, FL 34987, USA
| | - Haiwei Gu
- Center for Translational Science, Florida International University, Port St. Lucie, FL 34987, USA
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Zhao Q, Bian X, Shan C, Cheng J, Wang C, Xu Y, Xu M, Yan H, Qian D, Duan J. Quantitative analysis of nutrients for nucleosides, nucleobases and amino acids hidden behind five distinct regions-derived Poria cocos using ultra-performance liquid chromatography coupled with triple-quadrupole linear ion-trap tandem mass spectrometry. J Sep Sci 2022; 45:4039-4051. [PMID: 36084259 DOI: 10.1002/jssc.202200516] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Revised: 09/04/2022] [Accepted: 09/06/2022] [Indexed: 11/09/2022]
Abstract
Poria cocos is an edible fungus used as a health product and traditional Chinese medicinal preparation. Nevertheless, little is known about its nutrients. In this study, ultra-high performance liquid chromatography coupled with triple-quadrupole linear ion-trap tandem mass spectrometry was conducted to quantify nucleosides, nucleobases, and amino acids in 32 batches of Poria cocos samples collected from Anhui, Sichuan, Hubei, Hunan and Guizhou. Subsequently, the linearity, precision, repeatability, stability, and recovery of our methods were validated. Samples from different regions were clearly separated by partial least squares discriminant analysis and cluster analysis. Our results suggested that Poria cocos samples from different geographical environments differed in nucleosides, nucleobases, and amino acids. The plot of variable importance for projection disclosed differential compositions of L-Leucine, Uridine, L-Asparagine, L-Glutamine, L-phenylalanine, L-Ornithine monohydrochloride, L-Hydroxyproline, Taurine and Inosine in Poria cocos from five regions. We found the highest content of total analytes, total amino acids and total non-essential amino acids in Poria cocos from Anhui, total essential amino acids in the Sichuan samples and total nucleosides in Hunan samples. Overall, we determined the content of Poria cocos-derived nucleosides, nucleobases, and amino acids, providing the foothold for further chemical mining and use of Poria cocos. This article is protected by copyright. All rights reserved.
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Affiliation(s)
- Qiulong Zhao
- Jiangsu Key Laboratory for High Technology Research of TCM Formulae, Nanjing, 210023, China.,Jiangsu Collaborative Innovation Center of Chinese Medicinal Resource Industrialization, and National and Local Collaborative Engineering Center of Chinese Medicinal Resources Industrialization and Formulae Innovative Medicine, Nanjing University of Chinese Medicine, Nanjing, 210023, China
| | - Xiaokun Bian
- Yancheng NO.1 People's Hospital, Yancheng, 224000, China
| | - Chenxiao Shan
- Institute of TCM-Related Comorbid Depression, Nanjing, 210023, China
| | - Jiaxin Cheng
- Jiangsu Key Laboratory for High Technology Research of TCM Formulae, Nanjing, 210023, China
| | - Chunxue Wang
- Jiangsu Key Laboratory for High Technology Research of TCM Formulae, Nanjing, 210023, China
| | - Yi Xu
- Yancheng NO.1 People's Hospital, Yancheng, 224000, China
| | - Min Xu
- Institute of TCM-Related Comorbid Depression, Nanjing, 210023, China
| | - Hui Yan
- Jiangsu Key Laboratory for High Technology Research of TCM Formulae, Nanjing, 210023, China
| | - Dawei Qian
- Yancheng NO.1 People's Hospital, Yancheng, 224000, China
| | - Jinao Duan
- Yancheng NO.1 People's Hospital, Yancheng, 224000, China
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Association of life course adiposity with risk of incident dementia: a prospective cohort study of 322,336 participants. Mol Psychiatry 2022; 27:3385-3395. [PMID: 35538193 DOI: 10.1038/s41380-022-01604-9] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Revised: 04/22/2022] [Accepted: 04/26/2022] [Indexed: 01/08/2023]
Abstract
Cohort studies report inconsistent associations between body mass index (BMI) and all-cause incident dementia. Furthermore, evidence on fat distribution and body composition measures are scarce and few studies estimated the association between early life adiposity and dementia risk. Here, we included 322,336 participants from UK biobank to investigate the longitudinal association between life course adiposity and risk of all-cause incident dementia and to explore the underlying mechanisms driven by metabolites, inflammatory cells and brain structures. Among the 322,336 individuals (mean (SD) age, 62.24 (5.41) years; 53.9% women) in the study, during a median 8.74 years of follow-up, 5083 all-cause incident dementia events occurred. The risk of dementia was 22% higher with plumper childhood body size (p < 0.001). A strong U-shaped association was observed between adult BMI and dementia. More fat and less fat-free mass distribution on arms were associated with a higher risk of dementia. Interestingly, similar U-shaped associations were found between BMI and four metabolites (i.e., 3-hydroxybutrate, acetone, citrate and polyunsaturated fatty acids), four inflammatory cells (i.e., neutrophil, lymphocyte, monocyte and leukocyte) and abnormalities in brain structure that were also related to dementia. The findings that adiposity is associated with metabolites, inflammatory cells and abnormalities in brain structure that were related to dementia risk might provide clues to underlying biological mechanisms. Interventions to prevent dementia should begin early in life and include not only BMI control but fat distribution and body composition.
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Central Nervous System Metabolism in Autism, Epilepsy and Developmental Delays: A Cerebrospinal Fluid Analysis. Metabolites 2022; 12:metabo12050371. [PMID: 35629876 PMCID: PMC9148155 DOI: 10.3390/metabo12050371] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Revised: 04/10/2022] [Accepted: 04/12/2022] [Indexed: 12/14/2022] Open
Abstract
Neurodevelopmental disorders are associated with metabolic pathway imbalances; however, most metabolic measurements are made peripherally, leaving central metabolic disturbances under-investigated. Cerebrospinal fluid obtained intraoperatively from children with autism spectrum disorder (ASD, n = 34), developmental delays (DD, n = 20), and those without known DD/ASD (n = 34) was analyzed using large-scale targeted mass spectrometry. Eighteen also had epilepsy (EPI). Metabolites significantly related to ASD, DD and EPI were identified by linear models and entered into metabolite–metabolite network pathway analysis. Common disrupted pathways were analyzed for each group of interest. Central metabolites most involved in metabolic pathways were L-cysteine, adenine, and dodecanoic acid for ASD; nicotinamide adenine dinucleotide phosphate, L-aspartic acid, and glycine for EPI; and adenosine triphosphate, L-glutamine, ornithine, L-arginine, L-lysine, citrulline, and L-homoserine for DD. Amino acid and energy metabolism pathways were most disrupted in all disorders, but the source of the disruption was different for each disorder. Disruption in vitamin and one-carbon metabolism was associated with DD and EPI, lipid pathway disruption was associated with EPI and redox metabolism disruption was related to ASD. Two microbiome metabolites were also detected in the CSF: shikimic and cis-cis-muconic acid. Overall, this study provides increased insight into unique metabolic disruptions in distinct but overlapping neurodevelopmental disorders.
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12
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Methods to Improve Molecular Diagnosis in Genomic Cold Cases in Pediatric Neurology. Genes (Basel) 2022; 13:genes13020333. [PMID: 35205378 PMCID: PMC8871714 DOI: 10.3390/genes13020333] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2022] [Revised: 02/06/2022] [Accepted: 02/07/2022] [Indexed: 02/04/2023] Open
Abstract
During the last decade, genetic testing has emerged as an important etiological diagnostic tool for Mendelian diseases, including pediatric neurological conditions. A genetic diagnosis has a considerable impact on disease management and treatment; however, many cases remain undiagnosed after applying standard diagnostic sequencing techniques. This review discusses various methods to improve the molecular diagnostic rates in these genomic cold cases. We discuss extended analysis methods to consider, non-Mendelian inheritance models, mosaicism, dual/multiple diagnoses, periodic re-analysis, artificial intelligence tools, and deep phenotyping, in addition to integrating various omics methods to improve variant prioritization. Last, novel genomic technologies, including long-read sequencing, artificial long-read sequencing, and optical genome mapping are discussed. In conclusion, a more comprehensive molecular analysis and a timely re-analysis of unsolved cases are imperative to improve diagnostic rates. In addition, our current understanding of the human genome is still limited due to restrictions in technologies. Novel technologies are now available that improve upon some of these limitations and can capture all human genomic variation more accurately. Last, we recommend a more routine implementation of high molecular weight DNA extraction methods that is coherent with the ability to use and/or optimally benefit from these novel genomic methods.
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Anderson CC, Marentette JO, Prutton KM, Rauniyar AK, Reisz JA, D'Alessandro A, Maclean KN, Saba LM, Roede JR. Trisomy 21 results in modest impacts on mitochondrial function and central carbon metabolism. Free Radic Biol Med 2021; 172:201-212. [PMID: 34129926 PMCID: PMC8355208 DOI: 10.1016/j.freeradbiomed.2021.06.003] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/14/2021] [Revised: 06/01/2021] [Accepted: 06/03/2021] [Indexed: 12/18/2022]
Abstract
Down syndrome (DS) is the most common genetic cause of intellectual disability. Mechanistically, oxidative stress and mitochondrial dysfunction are reported to be etiological factors for many of the DS-related comorbidities and have previously been reported in a number of in vitro and in vivo models of DS. The purpose of this study was to test for the presence of mitochondrial dysfunction in fibroblast cells obtained via skin biopsy from individuals with DS, and to assess the impact of trisomy 21 on central carbon metabolism. Using extracellular flux assays in matched dermal fibroblasts from euploid and DS individuals, we found that basal mitochondrial dysfunction is quite mild. Stressing the cells with a cocktail of mitochondrial stressors revealed a significant mitochondrial deficit in DS cells compared to euploid controls. Evaluation of extracellular acidification rate did not reveal a baseline abnormality in glycolysis; however, metabolomic assessments utilizing isotopically labeled glucose and glutamine revealed altered central carbon metabolism in DS cells. Specifically, we observed greater glucose dependency, uptake and flux into the oxidative phase of the pentose phosphate pathway in DS fibroblasts. Furthermore, using induced pluripotent stem cells (iPSC) we found that mitochondrial function in DS iPSCs was similar to the previously published studies employing fetal cells. Together, these data indicate that aberrant central carbon metabolism is a candidate mechanism for stress-related mitochondrial dysfunction in DS.
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Affiliation(s)
- Colin C Anderson
- Department of Pharmaceutical Sciences, Skaggs School of Pharmacy and Pharmaceutical Sciences, USA
| | - John O Marentette
- Department of Pharmaceutical Sciences, Skaggs School of Pharmacy and Pharmaceutical Sciences, USA
| | - Kendra M Prutton
- Department of Pharmaceutical Sciences, Skaggs School of Pharmacy and Pharmaceutical Sciences, USA; Linda Crnic Institute for Down Syndrome, School of Medicine, University of Colorado, Aurora, CO, USA
| | - Abhishek K Rauniyar
- Department of Pharmaceutical Sciences, Skaggs School of Pharmacy and Pharmaceutical Sciences, USA
| | - Julie A Reisz
- Department of Biochemistry and Molecular Genetics, USA
| | | | - Kenneth N Maclean
- Department of Pediatrics, USA; Linda Crnic Institute for Down Syndrome, School of Medicine, University of Colorado, Aurora, CO, USA
| | - Laura M Saba
- Department of Pharmaceutical Sciences, Skaggs School of Pharmacy and Pharmaceutical Sciences, USA
| | - James R Roede
- Department of Pharmaceutical Sciences, Skaggs School of Pharmacy and Pharmaceutical Sciences, USA; Linda Crnic Institute for Down Syndrome, School of Medicine, University of Colorado, Aurora, CO, USA.
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Schmidt RJ, Liang D, Busgang SA, Curtin P, Giulivi C. Maternal Plasma Metabolic Profile Demarcates a Role for Neuroinflammation in Non-Typical Development of Children. Metabolites 2021; 11:metabo11080545. [PMID: 34436486 PMCID: PMC8400060 DOI: 10.3390/metabo11080545] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2021] [Revised: 08/11/2021] [Accepted: 08/12/2021] [Indexed: 11/16/2022] Open
Abstract
Maternal and cord plasma metabolomics were used to elucidate biological pathways associated with increased diagnosis risk for autism spectrum disorders (ASD). Metabolome-wide associations were assessed in both maternal and umbilical cord plasma in relation to diagnoses of ASD and other non-typical development (Non-TD) compared to typical development (TD) in the Markers of Autism risk in Babies: Learning Early Signs (MARBLES) cohort study of children born to mothers who already have at least one child with ASD. Analyses were stratified by sample matrix type, machine mode, and annotation confidence level. Dimensionality reduction techniques were used [i.e, principal component analysis (PCA) and random subset weighted quantile sum regression (WQSRS)] to minimize the high multiple comparison burden. With WQSRS, a metabolite mixture obtained from the negative mode of maternal plasma decreased the odds of Non-TD compared to TD. These metabolites, all related to the prostaglandin pathway, underscored the relevance of neuroinflammation status. No other significant findings were observed. Dimensionality reduction strategies provided confirming evidence that a set of maternal plasma metabolites are important in distinguishing Non-TD compared to TD diagnosis. A lower risk for Non-TD was linked to anti-inflammatory elements, thereby linking neuroinflammation to detrimental brain function consistent with studies ranging from neurodevelopment to neurodegeneration.
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Affiliation(s)
- Rebecca J. Schmidt
- Department of Public Health Sciences, School of Medicine, University of California Davis, Davis, CA 95616, USA;
- Medical Investigation of Neurodevelopmental Disorders (MIND) Institute, School of Medicine, University of California Davis, Sacramento, CA 95817, USA
| | - Donghai Liang
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA;
| | - Stefanie A. Busgang
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; (S.A.B.); (P.C.)
| | - Paul Curtin
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; (S.A.B.); (P.C.)
| | - Cecilia Giulivi
- Medical Investigation of Neurodevelopmental Disorders (MIND) Institute, School of Medicine, University of California Davis, Sacramento, CA 95817, USA
- Department of Molecular Biosciences, School of Veterinary Medicine, University of California Davis, Davis, CA 95616, USA
- Correspondence:
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