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Gundogan K, Nellis MM, Ozer NT, Ergul SS, Sahin GG, Temel S, Yuksel RC, Teeny S, Alvarez JA, Sungur M, Jones DP, Ziegler TR. High-resolution plasma metabolomics and thiamine status in critically Ill adult patients. Metabolomics 2024; 20:83. [PMID: 39066851 PMCID: PMC11283406 DOI: 10.1007/s11306-024-02144-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/11/2023] [Accepted: 06/24/2024] [Indexed: 07/30/2024]
Abstract
INTRODUCTION Thiamine (Vitamin B1) is an essential micronutrient and is classically considered a co-factor in energy metabolism. The association between thiamine status and whole-body metabolism in critical illness has not been studied. OBJECTIVES To determine association between whole blood thiamine pyrophosphate (TPP) concentrations and plasma metabolites and connected metabolic pathways using high resolution metabolomics (HRM) in critically ill patients. METHODS Cross-sectional study performed at Erciyes University Hospital, Kayseri, Turkey and Emory University, Atlanta, GA, USA. Participants were critically ill adults with an expected length of intensive care unit stay longer than 48 h and receiving chronic furosemide therapy. A total of 76 participants were included. Mean age was 69 years (range 33-92 years); 65% were female. Blood for TPP and metabolomics was obtained on the day of ICU admission. Whole blood TPP was measured by HPLC and plasma HRM was performed using liquid chromatography/mass spectrometry. Data was analyzed using regression analysis of TPP levels against all plasma metabolomic features in metabolome-wide association studies (MWAS). MWAS using the highest and lowest TPP concentration tertiles was performed as a secondary analysis. RESULTS Specific metabolic pathways associated with whole blood TPP levels in regression and tertile analysis included pentose phosphate, fructose and mannose, branched chain amino acid, arginine and proline, linoleate, and butanoate pathways. CONCLUSIONS Plasma HRM revealed that thiamine status, determined by whole blood TPP concentrations, was significantly associated with metabolites and metabolic pathways related to metabolism of energy, carbohydrates, amino acids, lipids, and the gut microbiome in adult critically ill patients.
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Affiliation(s)
- Kursat Gundogan
- Division of Intensive Care Medicine, Department of Internal Medicine, Erciyes University School of Medicine, Melikgazi, 38039, Kayseri, Turkey.
- Division of Clinical Nutrition, Erciyes University Health Sciences Institute, Kayseri, Turkey.
| | - Mary M Nellis
- Clinical Biomarkers Laboratory, Department of Medicine, Emory University, Atlanta, GA, 30322, USA
| | - Nurhayat T Ozer
- Division of Clinical Nutrition, Erciyes University Health Sciences Institute, Kayseri, Turkey
| | - Serap S Ergul
- Division of Clinical Nutrition, Erciyes University Health Sciences Institute, Kayseri, Turkey
| | - Gulsah G Sahin
- Division of Clinical Nutrition, Erciyes University Health Sciences Institute, Kayseri, Turkey
| | - Sahin Temel
- Division of Intensive Care Medicine, Department of Internal Medicine, Erciyes University School of Medicine, Melikgazi, 38039, Kayseri, Turkey
| | - Recep C Yuksel
- Division of Intensive Care Medicine, Department of Internal Medicine, Erciyes University School of Medicine, Melikgazi, 38039, Kayseri, Turkey
| | - Sami Teeny
- Clinical Biomarkers Laboratory, Department of Medicine, Emory University, Atlanta, GA, 30322, USA
| | - Jessica A Alvarez
- Division of Endocrinology, Metabolism, and Lipids, Department of Medicine, Emory University School of Medicine, Atlanta, GA, USA
- Department of Medicine, Emory Center for Clinical and Molecular Nutrition, Emory University School of Medicine, Atlanta, GA, USA
| | - Murat Sungur
- Division of Intensive Care Medicine, Department of Internal Medicine, Erciyes University School of Medicine, Melikgazi, 38039, Kayseri, Turkey
- Division of Clinical Nutrition, Erciyes University Health Sciences Institute, Kayseri, Turkey
| | - Dean P Jones
- Clinical Biomarkers Laboratory, Department of Medicine, Emory University, Atlanta, GA, 30322, USA
- Department of Medicine, Emory Center for Clinical and Molecular Nutrition, Emory University School of Medicine, Atlanta, GA, USA
- Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, Department of Medicine, Emory University School of Medicine, Atlanta, GA, USA
| | - Thomas R Ziegler
- Division of Endocrinology, Metabolism, and Lipids, Department of Medicine, Emory University School of Medicine, Atlanta, GA, USA
- Department of Medicine, Emory Center for Clinical and Molecular Nutrition, Emory University School of Medicine, Atlanta, GA, USA
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Baumert BO, Maretti-Mira AC, Li Z, Stratakis N, Zhao Y, Walker DI, Wang H, Fischer FC, Jia Q, Valvi D, Bartell SM, Chen C, Inge T, Ryder J, Jenkins T, Sisley S, Xanthakos S, Kohli R, Rock S, Eckel SP, La Merrill MA, Aung MM, Salomon MP, McConnell R, Goodrich J, Conti DV, Golden-Mason L, Chatzi L. PFHpA alters lipid metabolism and increases the risk of metabolic dysfunction-associated steatotic liver disease in youth-a translational research framework. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.07.01.24309775. [PMID: 39006440 PMCID: PMC11245066 DOI: 10.1101/2024.07.01.24309775] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/16/2024]
Abstract
To address the growing epidemic of liver disease, particularly in pediatric populations, it is crucial to identify modifiable risk factors for the development and progression of metabolic dysfunction-associated steatotic liver disease (MASLD). Per- and polyfluoroalkyl substances (PFAS) are persistent ubiquitous chemicals and have emerged as potential risk factors for liver damage. However, their impact on the etiology and severity of MASLD remains largely unexplored in humans. This study aims to bridge the gap between human and in vitro studies to understand how exposure to perfluoroheptanoic acid (PFHpA), one of the emerging PFAS replacements which accumulates in high concentrations in the liver, contributes to MASLD risk and progression. First, we showed that PFHpA plasma concentrations were significantly associated with increased risk of MASLD in obese adolescents. Further, we examined the impact of PFHpA on hepatic metabolism using 3D human liver spheroids and single-cell transcriptomics to identify major hepatic pathways affected by PFHpA. Next, we integrated the in vivo and in vitro multi-omics datasets with a novel statistical approach which identified signatures of proteins and metabolites associated with MASLD development triggered by PFHpA exposure. In addition to characterizing the contribution of PFHpA to MASLD progression, our study provides a novel strategy to identify individuals at high risk of PFHpA-induced MASLD and develop early intervention strategies. Notably, our analysis revealed that the proteomic signature exhibited a stronger correlation between both PFHpA exposure and MASLD risk compared to the metabolomic signature. While establishing a clear connection between PFHpA exposure and MASLD progression in humans, our study delved into the molecular mechanisms through which PFHpA disrupts liver metabolism. Our in vitro findings revealed that PFHpA primarily impacts lipid metabolism, leading to a notable increase of lipid accumulation in human hepatocytes after PFHpA exposure. Among the pathways involved in lipid metabolism in hepatocytes, regulation of lipid metabolism by PPAR-a showed a remarkable activation. Moreover, the translational research framework we developed by integrating human and in vitro data provided us biomarkers to identify individuals at a high risk of MASLD due to PFHpA exposure. Our framework can inform policies on PFAS-induced liver disease and identify potential targets for prevention and treatment strategies.
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Hood RB, Nelson J, Minguez-Alarcon L, Ford JB, Hauser R, Jones D, Liang D, Gaskins AJ. The associations between pre-conception urinary phthalate concentrations, the serum metabolome, and live birth among women undergoing assisted reproduction. ENVIRONMENTAL RESEARCH 2024; 252:119149. [PMID: 38754604 PMCID: PMC11219194 DOI: 10.1016/j.envres.2024.119149] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/09/2024] [Revised: 05/10/2024] [Accepted: 05/13/2024] [Indexed: 05/18/2024]
Abstract
BACKGROUND Phthalates are ubiquitous endocrine disruptors. Past studies have shown an association between higher preconception urinary concentrations of phthalate metabolites and lower fertility in women; however, the biological mechanisms remain unclear. Our exploratory study aimed to understand the metabolites and pathways associated with maternal preconception phthalate exposure and examine if any may underline the association between phthalate exposure and live birth using untargeted metabolomics. METHODS Participants (n = 183) were part of the Environment and Reproductive Health (EARTH) study, a prospective cohort that followed women undergoing in vitro fertilization (IVF) at the Massachusetts General Hospital Fertility Center (2005-2016). On the same day, women provided a serum sample during controlled ovarian stimulation, which was analyzed for metabolomics using liquid chromatography coupled with high-resolution mass spectrometry and two chromatography columns, and a urine sample, which was analyzed for 11 phthalate metabolites using targeted approaches. We used multivariable generalized linear models to identified metabolic features associated with urinary phthalate metabolite concentrations and live birth, followed by enriched pathway analysis. We then used a meet-in-the-middle approach to identify overlapping pathways and features. RESULTS Metabolic pathway enrichment analysis revealed 43 pathways in the C18 negative and 32 pathways in the HILIC positive columns that were significantly associated (p < 0.05) with at least one of the 11 urinary phthalate metabolites or molar sum of di-2-ethylhexyl phthalate metabolites. Lipid, amino acid, and carbohydrate metabolism were the most common pathways associated with phthalate exposure. Five pathways, tryptophan metabolism, tyrosine metabolism, biopterin metabolism, carnitine shuttle, and vitamin B6 metabolism, were also identified as being associated with at least one phthalate metabolite and live birth following IVF. CONCLUSION Our study provides further insight into the metabolites and metabolomics pathways, including amino acid, lipid, and vitamin metabolism that may underlie the observed associations between phthalate exposures and lower fertility in women.
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Affiliation(s)
- Robert B Hood
- Department of Epidemiology, Emory University Rollins School of Public Health, Atlanta, GA, USA.
| | - Jillian Nelson
- Department of Epidemiology, Emory University Rollins School of Public Health, Atlanta, GA, USA
| | - Lidia Minguez-Alarcon
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Jennifer B Ford
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Russ Hauser
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Dean Jones
- Division of Pulmonary, Allergy, & Critical Care Medicine, Emory University School of Medicine, Atlanta, GA, USA
| | - Donghai Liang
- Gangarosa Department of Environmental Health, Emory University Rollins School of Public Health, Atlanta, GA, USA
| | - Audrey J Gaskins
- Department of Epidemiology, Emory University Rollins School of Public Health, Atlanta, GA, USA
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Cochran SJ, Dunigan-Russell K, Hutton GM, Nguyen H, Schladweiler MC, Jones DP, Williams WC, Fisher AA, Gilmour MI, Dye JA, Smith MR, Miller CN, Gowdy KM. Repeated exposure to eucalyptus wood smoke alters pulmonary gene and metabolic profiles in male Long-Evans rats. Toxicol Sci 2024; 199:332-348. [PMID: 38544285 PMCID: PMC11131017 DOI: 10.1093/toxsci/kfae040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/29/2024] Open
Abstract
Exposure to wildfire smoke is associated with both acute and chronic cardiopulmonary illnesses, which are of special concern for wildland firefighters who experience repeated exposure to wood smoke. It is necessary to better understand the underlying pathophysiology by which wood smoke exposure increases pulmonary disease burdens in this population. We hypothesize that wood smoke exposure produces pulmonary dysfunction, lung inflammation, and gene expression profiles associated with future pulmonary complications. Male Long-Evans rats were intermittently exposed to smoldering eucalyptus wood smoke at 2 concentrations, low (11.0 ± 1.89 mg/m3) and high (23.7 ± 0.077 mg/m3), over a 2-week period. Whole-body plethysmography was measured intermittently throughout. Lung tissue and lavage fluid were collected 24 h after the final exposure for transcriptomics and metabolomics. Increasing smoke exposure upregulated neutrophils and select cytokines in the bronchoalveolar lavage fluid. In total, 3446 genes were differentially expressed in the lungs of rats in the high smoke exposure and only 1 gene in the low smoke exposure (Cd151). Genes altered in the high smoke group reflected changes to the Eukaryotic Initiation Factor 2 stress and oxidative stress responses, which mirrored metabolomics analyses. xMWAS-integrated analysis revealed that smoke exposure significantly altered pathways associated with oxidative stress, lung morphogenesis, and tumor proliferation pathways. These results indicate that intermittent, 2-week exposure to eucalyptus wood smoke leads to transcriptomic and metabolic changes in the lung that may predict future lung disease development. Collectively, these findings provide insight into cellular signaling pathways that may contribute to the chronic pulmonary conditions observed in wildland firefighters.
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Affiliation(s)
- Samuel J Cochran
- Division of Pulmonary, Critical Care and Sleep Medicine, Ohio State University Wexner Medical Center, Columbus, Ohio 43210, USA
| | - Katelyn Dunigan-Russell
- Division of Pulmonary, Critical Care and Sleep Medicine, Ohio State University Wexner Medical Center, Columbus, Ohio 43210, USA
| | - Grace M Hutton
- Division of Pulmonary, Critical Care and Sleep Medicine, Ohio State University Wexner Medical Center, Columbus, Ohio 43210, USA
| | - Helen Nguyen
- Oak Ridge Institute for Science and Education, U.S. Environmental Protection Agency, Center for Public Health and Environmental Assessment, Research Triangle Park, North Carolina 27711, USA
| | - Mette C Schladweiler
- Cardiopulmonary and Immunotoxicology Branch, Public Health and Integrated Toxicology Division, Center for Public Health and Environmental Assessment, U.S. Environmental Protection Agency, Research Triangle Park, North Carolina 27711, USA
| | - Dean P Jones
- Division of Pulmonary, Allergy, Critical Care, and Sleep Medicine, Department of Medicine, Emory University, Atlanta, Georgia 30322, USA
| | - Wanda C Williams
- Cardiopulmonary and Immunotoxicology Branch, Public Health and Integrated Toxicology Division, Center for Public Health and Environmental Assessment, U.S. Environmental Protection Agency, Research Triangle Park, North Carolina 27711, USA
| | - Anna A Fisher
- Cardiopulmonary and Immunotoxicology Branch, Public Health and Integrated Toxicology Division, Center for Public Health and Environmental Assessment, U.S. Environmental Protection Agency, Research Triangle Park, North Carolina 27711, USA
| | - M Ian Gilmour
- Cardiopulmonary and Immunotoxicology Branch, Public Health and Integrated Toxicology Division, Center for Public Health and Environmental Assessment, U.S. Environmental Protection Agency, Research Triangle Park, North Carolina 27711, USA
| | - Janice A Dye
- Cardiopulmonary and Immunotoxicology Branch, Public Health and Integrated Toxicology Division, Center for Public Health and Environmental Assessment, U.S. Environmental Protection Agency, Research Triangle Park, North Carolina 27711, USA
| | - M Ryan Smith
- Division of Pulmonary, Allergy, Critical Care, and Sleep Medicine, Department of Medicine, Emory University, Atlanta, Georgia 30322, USA
- Atlanta Veterans Affairs Healthcare System, Decatur, Georgia 30033, USA
| | - Colette N Miller
- Cardiopulmonary and Immunotoxicology Branch, Public Health and Integrated Toxicology Division, Center for Public Health and Environmental Assessment, U.S. Environmental Protection Agency, Research Triangle Park, North Carolina 27711, USA
| | - Kymberly M Gowdy
- Division of Pulmonary, Critical Care and Sleep Medicine, Ohio State University Wexner Medical Center, Columbus, Ohio 43210, USA
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Li S, Lin Y, Jones D, Walker DI, Duarte Folle A, Del Rosario I, Yu Y, Zhang K, Keener AM, Bronstein J, Ritz B, Paul KC. Untargeted serum metabolic profiling of diabetes mellitus among Parkinson's disease patients. NPJ Parkinsons Dis 2024; 10:100. [PMID: 38730245 PMCID: PMC11087477 DOI: 10.1038/s41531-024-00711-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Accepted: 04/16/2024] [Indexed: 05/12/2024] Open
Abstract
Type 2 diabetes mellitus (T2DM) is a common comorbidity among Parkinson's disease (PD) patients. Yet, little is known about dysregulated pathways that are unique in PD patients with T2DM. We applied high-resolution metabolomic profiling in serum samples of 636 PD and 253 non-PD participants recruited from Central California. We conducted an initial discovery metabolome-wide association and pathway enrichment analysis. After adjusting for multiple testing, in positive (or negative) ion mode, 30 (25) metabolic features were associated with T2DM in both PD and non-PD participants, 162 (108) only in PD participants, and 32 (7) only in non-PD participants. Pathway enrichment analysis identified 17 enriched pathways associated with T2DM in both the PD and non-PD participants, 26 pathways only in PD participants, and 5 pathways only in non-PD participants. Several amino acid, nucleic acids, and fatty acid metabolisms were associated with T2DM only in the PD patient group suggesting a possible link between PD and T2DM.
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Affiliation(s)
- Shiwen Li
- Department of Epidemiology, UCLA Fielding School of Public Health, Los Angeles, CA, USA
| | - Yuyuan Lin
- Department of Epidemiology, UCLA Fielding School of Public Health, Los Angeles, CA, USA
| | - Dean Jones
- Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, Department of Medicine, Emory University School of Medicine, Atlanta, USA
- Department of Biochemistry, Emory University School of Medicine, Atlanta, USA
| | - Douglas I Walker
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Aline Duarte Folle
- Department of Epidemiology, UCLA Fielding School of Public Health, Los Angeles, CA, USA
| | - Irish Del Rosario
- Department of Epidemiology, UCLA Fielding School of Public Health, Los Angeles, CA, USA
| | - Yu Yu
- Center for Health Policy Research, UCLA Fielding School of Public Health, Los Angeles, CA, USA
| | - Keren Zhang
- Department of Epidemiology, UCLA Fielding School of Public Health, Los Angeles, CA, USA
| | - Adrienne M Keener
- Department of Neurology, David Geffen School of Medicine, Los Angeles, CA, USA
| | - Jeff Bronstein
- Department of Neurology, David Geffen School of Medicine, Los Angeles, CA, USA
| | - Beate Ritz
- Department of Epidemiology, UCLA Fielding School of Public Health, Los Angeles, CA, USA
- Department of Neurology, David Geffen School of Medicine, Los Angeles, CA, USA
| | - Kimberly C Paul
- Department of Neurology, David Geffen School of Medicine, Los Angeles, CA, USA.
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Sivalogan K, Liang D, Accardi C, Diaz-Artiga A, Hu X, Mollinedo E, Ramakrishnan U, Teeny SN, Tran V, Clasen TF, Thompson LM, Sinharoy SS. Human Milk Composition Is Associated with Maternal Body Mass Index in a Cross-Sectional, Untargeted Metabolomics Analysis of Human Milk from Guatemalan Mothers. Curr Dev Nutr 2024; 8:102144. [PMID: 38726027 PMCID: PMC11079463 DOI: 10.1016/j.cdnut.2024.102144] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Revised: 03/12/2024] [Accepted: 03/19/2024] [Indexed: 05/12/2024] Open
Abstract
Background Maternal overweight and obesity has been associated with poor lactation performance including delayed lactogenesis and reduced duration. However, the effect on human milk composition is less well understood. Objectives We evaluated the relationship of maternal BMI on the human milk metabolome among Guatemalan mothers. Methods We used data from 75 Guatemalan mothers who participated in the Household Air Pollution Intervention Network trial. Maternal BMI was measured between 9 and <20 weeks of gestation. Milk samples were collected at a single time point using aseptic collection from one breast at 6 mo postpartum and analyzed using high-resolution mass spectrometry. A cross-sectional untargeted high-resolution metabolomics analysis was performed by coupling hydrophilic interaction liquid chromatography (HILIC) and reverse phase C18 chromatography with mass spectrometry. Metabolic features associated with maternal BMI were determined by a metabolome-wide association study (MWAS), adjusting for baseline maternal age, education, and dietary diversity, and perturbations in metabolic pathways were identified by pathway enrichment analysis. Results The mean age of participants at baseline was 23.62 ± 3.81 y, and mean BMI was 24.27 ± 4.22 kg/m2. Of the total metabolic features detected by HILIC column (19,199 features) and by C18 column (11,594 features), BMI was associated with 1026 HILIC and 500 C18 features. Enriched pathways represented amino acid metabolism, galactose metabolism, and xenobiotic metabolic metabolism. However, no significant features were identified after adjusting for multiple comparisons using the Benjamini-Hochberg false discovery rate procedure (FDRBH < 0.2). Conclusions Findings from this untargeted MWAS indicate that maternal BMI is associated with metabolic perturbations of galactose metabolism, xenobiotic metabolism, and xenobiotic metabolism by cytochrome p450 and biosynthesis of amino acid pathways. Significant metabolic pathway alterations detected in human milk were associated with energy metabolism-related pathways including carbohydrate and amino acid metabolism.This trial was registered at clinicaltrials.gov as NCT02944682.
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Affiliation(s)
- Kasthuri Sivalogan
- Nutrition and Health Sciences, Laney Graduate School, Emory University, Atlanta, Georgia, USA
| | - Donghai Liang
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, United States
| | - Carolyn Accardi
- Clinical Biomarkers Laboratory, Department of Medicine, Emory University, Atlanta, GA, United States
| | - Anaite Diaz-Artiga
- Center for Health Studies, Universidad del Valle de Guatemala, Guatemala City, Guatemala
| | - Xin Hu
- Clinical Biomarkers Laboratory, Department of Medicine, Emory University, Atlanta, GA, United States
| | - Erick Mollinedo
- Center for Health Studies, Universidad del Valle de Guatemala, Guatemala City, Guatemala
| | - Usha Ramakrishnan
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, United States
- Department of Environmental Health, College of Public Health, University of Georgia, Athens, GA, United States
| | - Sami Nadeem Teeny
- Clinical Biomarkers Laboratory, Department of Medicine, Emory University, Atlanta, GA, United States
| | - ViLinh Tran
- Clinical Biomarkers Laboratory, Department of Medicine, Emory University, Atlanta, GA, United States
| | - Thomas F Clasen
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, United States
| | - Lisa M Thompson
- Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, GA, United States
| | - Sheela S Sinharoy
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, United States
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Leshuk TC, Young ZW, Wilson B, Chen ZQ, Smith DA, Lazaris G, Gopanchuk M, McLay S, Seelemann CA, Paradis T, Bekele A, Guest R, Massara H, White T, Zubot W, Letinski DJ, Redman AD, Allen DG, Gu F. A Light Touch: Solar Photocatalysis Detoxifies Oil Sands Process-Affected Waters Prior to Significant Treatment of Naphthenic Acids. ACS ES&T WATER 2024; 4:1483-1497. [PMID: 38633367 PMCID: PMC11019557 DOI: 10.1021/acsestwater.3c00616] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/06/2023] [Revised: 01/25/2024] [Accepted: 01/25/2024] [Indexed: 04/19/2024]
Abstract
Environmental reclamation of Canada's oil sands tailings ponds is among the single largest water treatment challenges globally. The toxicity of oil sands process-affected water (OSPW) has been associated with its dissolved organics, a complex mixture of naphthenic acid fraction components (NAFCs). Here, we evaluated solar treatment with buoyant photocatalysts (BPCs) as a passive advanced oxidation process (P-AOP) for OSPW remediation. Photocatalysis fully degraded naphthenic acids (NAs) and acid extractable organics (AEO) in 3 different OSPW samples. However, classical NAs and AEO, traditionally considered among the principal toxicants in OSPW, were not correlated with OSPW toxicity herein. Instead, nontarget petroleomic analysis revealed that low-polarity organosulfur compounds, composing <10% of the total AEO, apparently accounted for the majority of waters' toxicity to fish, as described by a model of tissue partitioning. These findings have implications for OSPW release, for which a less extensive but more selective treatment may be required than previously expected.
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Affiliation(s)
- Timothy
M. C. Leshuk
- H2nanO
Inc., Kitchener, Ontario, Canada N2R 1E8
- Department
of Chemical Engineering and Applied Chemistry, University of Toronto, Toronto, Ontario, Canada M5S 3E5
- Department
of Chemical Engineering, University of Waterloo, Waterloo, Ontario, Canada N2L 3G1
- Waterloo
Institute for Nanotechnology, University
of Waterloo, Waterloo, Ontario, Canada N2L 3G1
| | - Zachary W. Young
- H2nanO
Inc., Kitchener, Ontario, Canada N2R 1E8
- Department
of Chemical Engineering, University of Waterloo, Waterloo, Ontario, Canada N2L 3G1
- Waterloo
Institute for Nanotechnology, University
of Waterloo, Waterloo, Ontario, Canada N2L 3G1
| | - Brad Wilson
- H2nanO
Inc., Kitchener, Ontario, Canada N2R 1E8
- Stantec, Waterloo, Ontario, Canada N2L 0A4
| | - Zi Qi Chen
- H2nanO
Inc., Kitchener, Ontario, Canada N2R 1E8
- Department
of Chemical Engineering and Applied Chemistry, University of Toronto, Toronto, Ontario, Canada M5S 3E5
- Department
of Chemical Engineering, University of Waterloo, Waterloo, Ontario, Canada N2L 3G1
- Waterloo
Institute for Nanotechnology, University
of Waterloo, Waterloo, Ontario, Canada N2L 3G1
| | - Danielle A. Smith
- H2nanO
Inc., Kitchener, Ontario, Canada N2R 1E8
- Department
of Chemical Engineering, University of Waterloo, Waterloo, Ontario, Canada N2L 3G1
- Waterloo
Institute for Nanotechnology, University
of Waterloo, Waterloo, Ontario, Canada N2L 3G1
- P&P
Optica, Waterloo, Ontario, Canada N2 V 2C3
| | - Greg Lazaris
- H2nanO
Inc., Kitchener, Ontario, Canada N2R 1E8
- Department
of Chemical Engineering, University of Waterloo, Waterloo, Ontario, Canada N2L 3G1
- Waterloo
Institute for Nanotechnology, University
of Waterloo, Waterloo, Ontario, Canada N2L 3G1
- Department
of Mining and Materials Engineering, McGill
University, Montreal, Quebec, Canada H3A 0C5
| | - Mary Gopanchuk
- H2nanO
Inc., Kitchener, Ontario, Canada N2R 1E8
- Department
of Chemical Engineering, University of Waterloo, Waterloo, Ontario, Canada N2L 3G1
- Waterloo
Institute for Nanotechnology, University
of Waterloo, Waterloo, Ontario, Canada N2L 3G1
| | - Sean McLay
- H2nanO
Inc., Kitchener, Ontario, Canada N2R 1E8
- Department
of Chemical Engineering, University of Waterloo, Waterloo, Ontario, Canada N2L 3G1
- Waterloo
Institute for Nanotechnology, University
of Waterloo, Waterloo, Ontario, Canada N2L 3G1
| | - Corin A. Seelemann
- H2nanO
Inc., Kitchener, Ontario, Canada N2R 1E8
- Department
of Chemical Engineering, University of Waterloo, Waterloo, Ontario, Canada N2L 3G1
- Waterloo
Composite Biomaterials Systems Lab, University
of Waterloo, Waterloo, Ontario, Canada N2L 3G1
- Waterloo
Institute for Nanotechnology, University
of Waterloo, Waterloo, Ontario, Canada N2L 3G1
| | - Theo Paradis
- Canadian
Natural Resources Ltd., Calgary, Alberta, Canada T2P 4J8
| | - Asfaw Bekele
- Imperial
Oil Ltd., Calgary, Alberta, Canada T2C 5N1
- ExxonMobil
Biomedical Sciences, Inc., Annandale, New Jersey 08801, United States
| | - Rodney Guest
- Suncor Energy Inc., Calgary, Alberta, Canada T2P 3E3
| | - Hafez Massara
- Suncor Energy Inc., Calgary, Alberta, Canada T2P 3E3
- Trans-Northern Pipelines Inc., Richmond Hill, Ontario, Canada L4B 3P6
| | - Todd White
- Teck Resources Ltd., Vancouver, British Columbia, Canada V6C 0B3
| | - Warren Zubot
- Syncrude Canada Ltd., Fort McMurray, Alberta, Canada T9H 0B6
| | - Daniel J. Letinski
- ExxonMobil
Biomedical Sciences, Inc., Annandale, New Jersey 08801, United States
| | - Aaron D. Redman
- ExxonMobil
Biomedical Sciences, Inc., Annandale, New Jersey 08801, United States
| | - D. Grant Allen
- Department
of Chemical Engineering and Applied Chemistry, University of Toronto, Toronto, Ontario, Canada M5S 3E5
| | - Frank Gu
- H2nanO
Inc., Kitchener, Ontario, Canada N2R 1E8
- Department
of Chemical Engineering and Applied Chemistry, University of Toronto, Toronto, Ontario, Canada M5S 3E5
- Department
of Chemical Engineering, University of Waterloo, Waterloo, Ontario, Canada N2L 3G1
- Waterloo
Institute for Nanotechnology, University
of Waterloo, Waterloo, Ontario, Canada N2L 3G1
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Fairley JK, Ferreira JA, Fraga LAO, Lyon S, Valadão Cardoso TM, Boson VC, Madureira Nunes AC, Medeiros Cinha EH, de Oliveira LBP, Magueta Silva EB, Marçal PHF, Branco AC, Grossi MAF, Jones DP, Ziegler TR, Collins JM. High-Resolution Plasma Metabolomics Identifies Alterations in Fatty Acid, Energy, and Micronutrient Metabolism in Adults Across the Leprosy Spectrum. J Infect Dis 2024; 229:1189-1199. [PMID: 37740551 PMCID: PMC11011203 DOI: 10.1093/infdis/jiad410] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Revised: 09/11/2023] [Accepted: 09/19/2023] [Indexed: 09/24/2023] Open
Abstract
BACKGROUND High-resolution metabolomics (HRM) is an innovative tool to study challenging infectious diseases like leprosy, where the pathogen cannot be grown with standard methods. Here, we use HRM to better understand associations between disease manifestations, nutrition, and host metabolism. METHODS From 2018 to 2019, adults with leprosy and controls were recruited in Minas Gerais, Brazil. Plasma metabolites were detected using an established HRM workflow and characterized by accurate mass, mass to charge ratio m/z and retention time. The mummichog informatics package compared metabolic pathways between cases and controls and between multibacillary (MB) and paucibacillary (PB) leprosy. Additionally, select individual metabolites were quantified and compared. RESULTS Thirty-nine cases (62% MB and 38% PB) and 25 controls were enrolled. We found differences (P < .05) in several metabolic pathways, including fatty acid metabolism, carnitine shuttle, retinol, vitamin D3, and C-21 steroid metabolism, between cases and controls with lower retinol and associated metabolites in cases. Between MB and PB, leukotrienes, prostaglandins, tryptophan, and cortisol were all found to be lower in MB (P < .05). DISCUSSION Metabolites associated with several nutrient-related metabolic pathways appeared differentially regulated in leprosy, especially MB versus PB. This pilot study demonstrates the metabolic interdependency of these pathways, which may play a role in the pathophysiology of disease.
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Affiliation(s)
- Jessica K Fairley
- Division of Infectious Diseases, Department of Medicine, Emory University School of Medicine, Atlanta, Georgia, USA
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA
| | - José A Ferreira
- Faculdade da Saúde e Écologia Humana, FASEH, Vespasiano, Minas Gerais, Brazil
| | - Lucia A O Fraga
- Department of Health Sciences, Universidade Federal de Juiz de Fora, Governador Valadares, Minas Gerais, Brazil
| | - Sandra Lyon
- Faculdade da Saúde e Écologia Humana, FASEH, Vespasiano, Minas Gerais, Brazil
- Fundação Hospitalar do Estado de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil
| | | | - Victor Campos Boson
- Faculdade da Saúde e Écologia Humana, FASEH, Vespasiano, Minas Gerais, Brazil
| | | | - Eloisa H Medeiros Cinha
- Department of Health Sciences, Universidade Federal de Juiz de Fora, Governador Valadares, Minas Gerais, Brazil
| | - Lorena B P de Oliveira
- Department of Health Sciences, Universidade Federal de Juiz de Fora, Governador Valadares, Minas Gerais, Brazil
| | - Erica B Magueta Silva
- Department of Health Sciences, Universidade Federal de Juiz de Fora, Governador Valadares, Minas Gerais, Brazil
| | - Pedro H F Marçal
- Department of Health Sciences, Universidade Federal de Juiz de Fora, Governador Valadares, Minas Gerais, Brazil
| | - Alexandre C Branco
- Centro de Referência em Doenças Endêmicas e Programs Especiais, Governador Valadares, Minas Gerais, Brazil
| | | | - Dean P Jones
- Division of Pulmonary, Critical Care, and Allergy, Department of Medicine, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Thomas R Ziegler
- Division of Endocrinology, Metabolism, and Lipids, Department of Medicine, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Jeffrey M Collins
- Division of Infectious Diseases, Department of Medicine, Emory University School of Medicine, Atlanta, Georgia, USA
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9
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Nikulkova M, Abdrabou W, Carlton JM, Idaghdour Y. Exploiting integrative metabolomics to study host-parasite interactions in Plasmodium infections. Trends Parasitol 2024; 40:313-323. [PMID: 38508901 PMCID: PMC10994734 DOI: 10.1016/j.pt.2024.02.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Revised: 02/15/2024] [Accepted: 02/16/2024] [Indexed: 03/22/2024]
Abstract
Despite years of research, malaria remains a significant global health burden, with poor diagnostic tests and increasing antimalarial drug resistance challenging diagnosis and treatment. While 'single-omics'-based approaches have been instrumental in gaining insight into the biology and pathogenicity of the Plasmodium parasite and its interaction with the human host, a more comprehensive understanding of malaria pathogenesis can be achieved through 'multi-omics' approaches. Integrative methods, which combine metabolomics, lipidomics, transcriptomics, and genomics datasets, offer a holistic systems biology approach to studying malaria. This review highlights recent advances, future directions, and challenges involved in using integrative metabolomics approaches to interrogate the interactions between Plasmodium and the human host, paving the way towards targeted antimalaria therapeutics and control intervention methods.
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Affiliation(s)
- Maria Nikulkova
- Center for Genomics and Systems Biology, Department of Biology, New York University, New York, NY 11101, USA; Johns Hopkins Malaria Research Institute, Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
| | - Wael Abdrabou
- Program in Biology, Division of Science and Mathematics, New York University, Abu Dhabi, United Arab Emirates
| | - Jane M Carlton
- Center for Genomics and Systems Biology, Department of Biology, New York University, New York, NY 11101, USA; Johns Hopkins Malaria Research Institute, Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA.
| | - Youssef Idaghdour
- Program in Biology, Division of Science and Mathematics, New York University, Abu Dhabi, United Arab Emirates
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10
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Huneault HE, Gent AE, Cohen CC, He Z, Jarrell ZR, Kamaleswaran R, Vos MB. Validation of a screening panel for pediatric metabolic dysfunction-associated steatotic liver disease using metabolomics. Hepatol Commun 2024; 8:e0375. [PMID: 38407264 PMCID: PMC10898657 DOI: 10.1097/hc9.0000000000000375] [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: 08/15/2023] [Accepted: 12/19/2023] [Indexed: 02/27/2024] Open
Abstract
BACKGROUND Metabolic dysfunction-associated steatotic liver disease (MASLD), formerly known as NAFLD, is the most common liver disease in children. Liver biopsy remains the gold standard for diagnosis, although more efficient screening methods are needed. We previously developed a novel NAFLD screening panel in youth using machine learning applied to high-resolution metabolomics and clinical phenotype data. Our objective was to validate this panel in a separate cohort, which consisted of a combined cross-sectional sample of 161 children with stored frozen samples (75% male, 12.8±2.6 years of age, body mass index 31.0±7.0 kg/m2, 81% with MASLD, 58% Hispanic race/ethnicity). METHODS Clinical data were collected from all children, and high-resolution metabolomics was performed using their fasting serum samples. MASLD was assessed by MRI-proton density fat fraction or liver biopsy and cardiometabolic factors. Our previously developed panel included waist circumference, triglycerides, whole-body insulin sensitivity index, 3 amino acids, 2 phospholipids, dihydrothymine, and 2 unknowns. To improve feasibility, a simplified version without the unknowns was utilized in the present study. Since the panel was modified, the data were split into training (67%) and test (33%) sets to assess the validity of the panel. RESULTS Our present highest-performing modified model, with 4 clinical variables and 8 metabolomics features, achieved an AUROC of 0.92, 95% sensitivity, and 80% specificity for detecting MASLD in the test set. CONCLUSIONS Therefore, this panel has promising potential for use as a screening tool for MASLD in youth.
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Affiliation(s)
- Helaina E. Huneault
- Nutrition & Health Sciences Program, Laney Graduate School, Emory University, Atlanta, Georgia, USA
| | - Alasdair E. Gent
- Department of Biomedical Informatics, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Catherine C. Cohen
- Section of Nutrition, Department of Pediatrics, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Zhulin He
- Department of Pediatrics, Pediatric Biostatistics Core, School of Medicine, Emory University, Atlanta, Georgia, USA
| | - Zachery R. Jarrell
- Department of Medicine, Division of Pulmonary, Allergy, Critical Care, and Sleep Medicine, Emory University, Atlanta, Georgia, USA
| | - Rishikesan Kamaleswaran
- Department of Biomedical Informatics, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Miriam B. Vos
- Nutrition & Health Sciences Program, Laney Graduate School, Emory University, Atlanta, Georgia, USA
- Department of Pediatrics, Children’s Healthcare of Atlanta, Atlanta, Georgia, USA
- Department of Pediatrics, School of Medicine, Emory University, Atlanta, Georgia, USA
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11
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Debertin JG, Holzhausen EA, Walker DI, Pacheco BP, James KA, Alderete TL, Corlin L. Associations between metals and metabolomic profiles related to diabetes among adults in a rural region. ENVIRONMENTAL RESEARCH 2024; 243:117776. [PMID: 38043890 PMCID: PMC10872433 DOI: 10.1016/j.envres.2023.117776] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Revised: 09/06/2023] [Accepted: 11/22/2023] [Indexed: 12/05/2023]
Abstract
INTRODUCTION Exposure to metals is associated with increased risk of type 2 diabetes (T2D). Potential mechanisms for metals-T2D associations involve biological processes including oxidative stress and disruption of insulin-regulated glucose uptake. In this study, we assessed whether associations between metal exposure and metabolite profiles relate to biological pathways linked to T2D. MATERIALS AND METHODS We used data from 29 adults rural Colorado residents enrolled in the San Luis Valley Diabetes Study. Urinary concentrations of arsenic, cadmium, cobalt, lead, manganese, and tungsten were measured. Metabolic effects were evaluated using untargeted metabolic profiling, which included 61,851 metabolite signals detected in serum. We evaluated cross-sectional associations between metals and metabolites present in at least 50% of samples. Primary analyses adjusted urinary heavy metal concentrations for creatinine. Metabolite outcomes associated with each metal exposure were evaluated using pathway enrichment to investigate potential mechanisms underlying the relationship between metals and T2D. RESULTS Participants had a mean age of 58.5 years (standard deviation = 9.2), 48.3% were female, 48.3% identified as Hispanic/Latino, 13.8% were current smokers, and 65.5% had T2D. Of the detected metabolites, 455 were associated with at least one metal, including 42 associated with arsenic, 22 with cadmium, 10 with cobalt, 313 with lead, 66 with manganese, and two with tungsten. The metabolic features were linked to 24 pathways including linoleate metabolism, butanoate metabolism, and arginine and proline metabolism. Several of these pathways have been previously associated with T2D, and our results were similar when including only participants with T2D. CONCLUSIONS Our results support the hypothesis that metals exposure may be associated with biological processes related to T2D, including amino acid, co-enzyme, and sugar and fatty acid metabolism. Insight into biological pathways could influence interventions to prevent adverse health outcomes due to metal exposure.
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Affiliation(s)
- Julia G Debertin
- Department of Public Health and Community Medicine, Tufts University School of Medicine, Boston, MA, USA; Mayo Clinic Alix School of Medicine, Mayo Clinic College of Medicine and Science, Rochester, MN, USA.
| | | | - Douglas I Walker
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, 30322, USA
| | - Brismar Pinto Pacheco
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Katherine A James
- Department of Environmental and Occupational Health, Colorado School of Public Health, University of Colorado-Anschutz Medical Campus, Aurora, CO, USA
| | - Tanya L Alderete
- Department of Integrative Physiology, University of Colorado, Boulder, CO, USA
| | - Laura Corlin
- Department of Public Health and Community Medicine, Tufts University School of Medicine, Boston, MA, USA; Department of Civil and Environmental Engineering, Tufts University School of Engineering, Medford, MA, USA
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12
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He D, Huang X, Arah OA, Walker DI, Jones DP, Ritz B, Heck JE. A prediction model for classifying maternal pregnancy smoking using California state birth certificate information. Paediatr Perinat Epidemiol 2024; 38:102-110. [PMID: 37967567 PMCID: PMC10922711 DOI: 10.1111/ppe.13021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Revised: 10/16/2023] [Accepted: 11/06/2023] [Indexed: 11/17/2023]
Abstract
BACKGROUND Systematically recorded smoking data are not always available in vital statistics records, and even when available it can underestimate true smoking rates. OBJECTIVE To develop a prediction model for maternal tobacco smoking in late pregnancy based on birth certificate information using a combination of self- or provider-reported smoking and biomarkers (smoking metabolites) in neonatal blood spots as the alloyed gold standard. METHODS We designed a case-control study where childhood cancer cases were identified from the California Cancer Registry and controls were from the California birth rolls between 1983 and 2011 who were cancer-free by the age of six. In this analysis, we included 894 control participants and performed high-resolution metabolomics analyses in their neonatal dried blood spots, where we extracted cotinine [mass-to-charge ratio (m/z) = 177.1023] and hydroxycotinine (m/z = 193.0973). Potential predictors of smoking were selected from California birth certificates. Logistic regression with stepwise backward selection was used to build a prediction model. Model performance was evaluated in a training sample, a bootstrapped sample, and an external validation sample. RESULTS Out of seven predictor variables entered into the logistic model, five were selected by the stepwise procedure: maternal race/ethnicity, maternal education, child's birth year, parity, and child's birth weight. We calculated an overall discrimination accuracy of 0.72 and an area under the receiver operating characteristic curve (AUC) of 0.81 (95% confidence interval [CI] 0.77, 0.84) in the training set. Similar accuracies were achieved in the internal (AUC 0.81, 95% CI 0.77, 0.84) and external (AUC 0.69, 95% CI 0.64, 0.74) validation sets. CONCLUSIONS This easy-to-apply model may benefit future birth registry-based studies when there is missing maternal smoking information; however, some smoking status misclassification remains a concern when only variables from the birth certificate are used to predict maternal smoking.
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Affiliation(s)
- Di He
- Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, California, USA
| | - Xiwen Huang
- Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, California, USA
| | - Onyebuchi A Arah
- Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, California, USA
| | - Douglas I Walker
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA
| | - Dean P Jones
- Clinical Biomarkers Laboratory, Division of Pulmonary, Allergy, and Critical Care Medicine, School of Medicine, Emory University, Atlanta, Georgia, USA
- Department of Medicine, Emory University, Atlanta, Georgia, USA
| | - Beate Ritz
- Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, California, USA
| | - Julia E Heck
- Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, California, USA
- College of Health and Public Service, University of North Texas, Denton, Texas, USA
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13
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Martinez-Morata I, Wu H, Galvez-Fernandez M, Ilievski V, Bottiglieri T, Niedzwiecki MM, Goldsmith J, Jones DP, Kioumourtzoglou MA, Pierce B, Walker DI, Gamble MV. Metabolomic Effects of Folic Acid Supplementation in Adults: Evidence from the FACT Trial. J Nutr 2024; 154:670-679. [PMID: 38092151 PMCID: PMC10900167 DOI: 10.1016/j.tjnut.2023.12.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2023] [Revised: 12/04/2023] [Accepted: 12/08/2023] [Indexed: 12/31/2023] Open
Abstract
BACKGROUND Folic acid (FA) is the oxidized form of folate found in supplements and FA-fortified foods. Most FA is reduced by dihydrofolate reductase to 5-methyltetrahydrofolate (5mTHF); the latter is the form of folate naturally found in foods. Ingestion of FA increases the plasma levels of both 5mTHF and unmetabolized FA (UMFA). Limited information is available on the downstream metabolic effects of FA supplementation, including potential effects associated with UMFA. OBJECTIVE We aimed to assess the metabolic effects of FA-supplementation, and the associations of plasma 5mTHF and UMFA with the metabolome in FA-naïve Bangladeshi adults. METHODS Sixty participants were selected from the Folic Acid and Creatine Trial; half received 800 μg FA/day for 12 weeks and half placebo. Plasma metabolome profiles were measured by high-resolution mass spectrometry, including 170 identified metabolites and 26,541 metabolic features. Penalized regression methods were used to assess the associations of targeted metabolites with FA-supplementation, plasma 5mTHF, and plasma UMFA. Pathway analyses were conducted using Mummichog. RESULTS In penalized models of identified metabolites, FA-supplementation was associated with higher choline. Changes in 5mTHF concentrations were positively associated with metabolites involved in amino acid metabolism (5-hydroxyindoleacetic acid, acetylmethionine, creatinine, guanidinoacetate, hydroxyproline/n-acetylalanine) and 2 fatty acids (docosahexaenoic acid and linoleic acid). Changes in 5mTHF concentrations were negatively associated with acetylglutamate, acetyllysine, carnitine, propionyl carnitine, cinnamic acid, homogentisate, arachidonic acid, and nicotine. UMFA concentrations were associated with lower levels of arachidonic acid. Together, metabolites selected across all models were related to lipids, aromatic amino acid metabolism, and the urea cycle. Analyses of nontargeted metabolic features identified additional pathways associated with FA supplementation. CONCLUSION In addition to the recapitulation of several expected metabolic changes associated with 5mTHF, we observed additional metabolites/pathways associated with FA-supplementation and UMFA. Further studies are needed to confirm these associations and assess their potential implications for human health. TRIAL REGISTRATION NUMBER This trial was registered at https://clinicaltrials.gov as NCT01050556.
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Affiliation(s)
- Irene Martinez-Morata
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, United States
| | - Haotian Wu
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, United States
| | - Marta Galvez-Fernandez
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, United States
| | - Vesna Ilievski
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, United States
| | - Teodoro Bottiglieri
- Center of Metabolomics, Institute of Metabolic Disease, Baylor Scott & White Research Institute, Dallas, TX, United States
| | - Megan M Niedzwiecki
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Jeff Goldsmith
- Department of Biostatistics, Mailman School of Public Health, Columbia University, New York, NY, United States
| | - Dean P Jones
- Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, Department of Medicine, Emory University School of Medicine, Atlanta, GA, United States; Department of Biochemistry, Emory University School of Medicine, Atlanta, GA, United States
| | - Marianthi-Anna Kioumourtzoglou
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, United States
| | - Brandon Pierce
- Department of Public Health Sciences, University of Chicago, Chicago, IL, United States; Department of Human Genetics, University of Chicago, Chicago, IL, United States; Comprehensive Cancer Center, University of Chicago, Chicago, IL, United States
| | - Douglas I Walker
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, United States
| | - Mary V Gamble
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, United States.
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14
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Costello E, Goodrich JA, Patterson WB, Walker DI, Chen J(C, Baumert BO, Rock S, Gilliland FD, Goran MI, Chen Z, Alderete TL, Conti DV, Chatzi L. Proteomic and Metabolomic Signatures of Diet Quality in Young Adults. Nutrients 2024; 16:429. [PMID: 38337712 PMCID: PMC10857402 DOI: 10.3390/nu16030429] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2023] [Revised: 01/27/2024] [Accepted: 01/30/2024] [Indexed: 02/12/2024] Open
Abstract
The assessment of "omics" signatures may contribute to personalized medicine and precision nutrition. However, the existing literature is still limited in the homogeneity of participants' characteristics and in limited assessments of integrated omics layers. Our objective was to use post-prandial metabolomics and fasting proteomics to identify biological pathways and functions associated with diet quality in a population of primarily Hispanic young adults. We conducted protein and metabolite-wide association studies and functional pathway analyses to assess the relationships between a priori diet indices, Healthy Eating Index-2015 (HEI) and Dietary Approaches to Stop Hypertension (DASH) diets, and proteins (n = 346) and untargeted metabolites (n = 23,173), using data from the MetaAIR study (n = 154, 61% Hispanic). Analyses were performed for each diet quality index separately, adjusting for demographics and BMI. Five proteins (ACY1, ADH4, AGXT, GSTA1, F7) and six metabolites (undecylenic acid, betaine, hyodeoxycholic acid, stearidonic acid, iprovalicarb, pyracarbolid) were associated with both diets (p < 0.05), though none were significant after adjustment for multiple comparisons. Overlapping proteins are involved in lipid and amino acid metabolism and in hemostasis, while overlapping metabolites include amino acid derivatives, bile acids, fatty acids, and pesticides. Enriched biological pathways were involved in macronutrient metabolism, immune function, and oxidative stress. These findings in young Hispanic adults contribute to efforts to develop precision nutrition and medicine for diverse populations.
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Affiliation(s)
- Elizabeth Costello
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA 90032, USA; (J.A.G.); (J.C.); (B.O.B.); (S.R.); (F.D.G.); (M.I.G.); (Z.C.); (D.V.C.); (L.C.)
| | - Jesse A. Goodrich
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA 90032, USA; (J.A.G.); (J.C.); (B.O.B.); (S.R.); (F.D.G.); (M.I.G.); (Z.C.); (D.V.C.); (L.C.)
| | - William B. Patterson
- Department of Integrative Physiology, University of Colorado Boulder, Boulder, CO 80309, USA; (W.B.P.); (T.L.A.)
| | - Douglas I. Walker
- Gangarosa Department of Environmental Health, Emory University, Atlanta, GA 30329, USA;
| | - Jiawen (Carmen) Chen
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA 90032, USA; (J.A.G.); (J.C.); (B.O.B.); (S.R.); (F.D.G.); (M.I.G.); (Z.C.); (D.V.C.); (L.C.)
| | - Brittney O. Baumert
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA 90032, USA; (J.A.G.); (J.C.); (B.O.B.); (S.R.); (F.D.G.); (M.I.G.); (Z.C.); (D.V.C.); (L.C.)
| | - Sarah Rock
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA 90032, USA; (J.A.G.); (J.C.); (B.O.B.); (S.R.); (F.D.G.); (M.I.G.); (Z.C.); (D.V.C.); (L.C.)
| | - Frank D. Gilliland
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA 90032, USA; (J.A.G.); (J.C.); (B.O.B.); (S.R.); (F.D.G.); (M.I.G.); (Z.C.); (D.V.C.); (L.C.)
| | - Michael I. Goran
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA 90032, USA; (J.A.G.); (J.C.); (B.O.B.); (S.R.); (F.D.G.); (M.I.G.); (Z.C.); (D.V.C.); (L.C.)
- Department of Pediatrics, Children’s Hospital Los Angeles, The Saban Research Institute, Los Angeles, CA 90027, USA
| | - Zhanghua Chen
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA 90032, USA; (J.A.G.); (J.C.); (B.O.B.); (S.R.); (F.D.G.); (M.I.G.); (Z.C.); (D.V.C.); (L.C.)
| | - Tanya L. Alderete
- Department of Integrative Physiology, University of Colorado Boulder, Boulder, CO 80309, USA; (W.B.P.); (T.L.A.)
| | - David V. Conti
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA 90032, USA; (J.A.G.); (J.C.); (B.O.B.); (S.R.); (F.D.G.); (M.I.G.); (Z.C.); (D.V.C.); (L.C.)
| | - Lida Chatzi
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA 90032, USA; (J.A.G.); (J.C.); (B.O.B.); (S.R.); (F.D.G.); (M.I.G.); (Z.C.); (D.V.C.); (L.C.)
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15
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Islam SJ, Liu C, Mohandas AN, Rooney K, Nayak A, Mehta A, Ko YA, Kim JH, Sun YV, Dunbar SB, Lewis TT, Taylor HA, Uppal K, Jones DP, Quyyumi AA, Searles CD. Metabolomic signatures of ideal cardiovascular health in black adults. Sci Rep 2024; 14:1794. [PMID: 38245568 PMCID: PMC10799852 DOI: 10.1038/s41598-024-51920-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Accepted: 01/11/2024] [Indexed: 01/22/2024] Open
Abstract
Plasma metabolomics profiling is an emerging methodology to identify metabolic pathways underlying cardiovascular health (CVH). The objective of this study was to define metabolomic profiles underlying CVH in a cohort of Black adults, a population that is understudied but suffers from disparate levels of CVD risk factors. The Morehouse-Emory Cardiovascular (MECA) Center for Health Equity study cohort consisted of 375 Black adults (age 53 ± 10, 39% male) without known CVD. CVH was determined by the AHA Life's Simple 7 (LS7) score, calculated from measured blood pressure, body mass index (BMI), fasting blood glucose and total cholesterol, and self-reported physical activity, diet, and smoking. Plasma metabolites were assessed using untargeted high-resolution metabolomics profiling. A metabolome wide association study (MWAS) identified metabolites associated with LS7 score after adjusting for age and sex. Using Mummichog software, metabolic pathways that were significantly enriched in metabolites associated with LS7 score were identified. Metabolites representative of these pathways were compared across clinical domains of LS7 score and then developed into a metabolomics risk score for prediction of CVH. We identified novel metabolomic signatures and pathways associated with CVH in a cohort of Black adults without known CVD. Representative and highly prevalent metabolites from these pathways included glutamine, glutamate, urate, tyrosine and alanine, the concentrations of which varied with BMI, fasting glucose, and blood pressure levels. When assessed in conjunction, these metabolites were independent predictors of CVH. One SD increase in the novel metabolomics risk score was associated with a 0.88 higher LS7 score, which translates to a 10.4% lower incident CVD risk. We identified novel metabolomic signatures of ideal CVH in a cohort of Black Americans, showing that a core group of metabolites central to nitrogen balance, bioenergetics, gluconeogenesis, and nucleotide synthesis were associated with CVH in this population.
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Affiliation(s)
- Shabatun J Islam
- Division of Cardiology, Department of Medicine, Emory University School of Medicine, Atlanta, GA, USA
| | - Chang Liu
- Division of Cardiology, Department of Medicine, Emory University School of Medicine, Atlanta, GA, USA
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Appesh N Mohandas
- Division of Cardiology, Department of Medicine, Emory University School of Medicine, Atlanta, GA, USA
| | - Kimberly Rooney
- Division of Cardiology, Department of Medicine, Emory University School of Medicine, Atlanta, GA, USA
| | - Aditi Nayak
- Division of Cardiology, Department of Medicine, Emory University School of Medicine, Atlanta, GA, USA
| | - Anurag Mehta
- Division of Cardiology, Department of Medicine, Emory University School of Medicine, Atlanta, GA, USA
| | - Yi-An Ko
- Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Jeong Hwan Kim
- Division of Cardiology, Department of Medicine, Emory University School of Medicine, Atlanta, GA, USA
| | - Yan V Sun
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA
- Department of Biomedical Informatics, Emory University School of Medicine, Atlanta, GA, USA
- Atlanta VA Health Care System, Decatur, GA, USA
| | - Sandra B Dunbar
- Division of Cardiology, Department of Medicine, Emory University School of Medicine, Atlanta, GA, USA
- Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, GA, USA
| | - Tené T Lewis
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Herman A Taylor
- Department of Medicine, Morehouse School of Medicine, Atlanta, GA, USA
| | - Karan Uppal
- Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, Department of Medicine, Emory University School of Medicine, Atlanta, GA, USA
| | - Dean P Jones
- Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, Department of Medicine, Emory University School of Medicine, Atlanta, GA, USA
| | - Arshed A Quyyumi
- Division of Cardiology, Department of Medicine, Emory University School of Medicine, Atlanta, GA, USA
| | - Charles D Searles
- Division of Cardiology, Department of Medicine, Emory University School of Medicine, Atlanta, GA, USA.
- Atlanta VA Health Care System, Decatur, GA, USA.
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16
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Zhao Y, Meijer J, Walker DI, Kim J, Portengen L, Jones DP, Saberi Hosnijeh F, Vlaanderen J, Vermeulen R. Dioxin(-like)-Related Biological Effects through Integrated Chemical-wide and Metabolome-wide Analyses. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2024; 58:258-268. [PMID: 38149779 PMCID: PMC10785760 DOI: 10.1021/acs.est.3c07588] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Revised: 12/08/2023] [Accepted: 12/11/2023] [Indexed: 12/28/2023]
Abstract
Dioxin(-like) exposures are linked to adverse health effects, including cancer. However, metabolic alterations induced by these chemicals remain largely unknown. Beyond known dioxin(-like) compounds, we leveraged a chemical-wide approach to assess chlorinated co-exposures and parent compound products [termed dioxin(-like)-related compounds] among 137 occupational workers. Endogenous metabolites were profiled by untargeted metabolomics, namely, reversed-phase chromatography with negative electrospray ionization (C18-negative) and hydrophilic interaction liquid chromatography with positive electrospray ionization (HILIC-positive). We performed a metabolome-wide association study to select dioxin(-like) associated metabolic features using a 20% false discovery rate threshold. Metabolic features were then characterized by pathway enrichment analyses. There are no significant features associated with polychlorinated dibenzo-p-dioxins (PCDDs), a subgroup of known dioxin(-like) compounds. However, 3,110 C18-negative and 2,894 HILIC-positive features were associated with at least one of the PCDD-related compounds. Abundant metabolic changes were also observed for polychlorinated dibenzofuran-related and polychlorinated biphenyl-related compounds. These metabolic features were primarily enriched in pathways of amino acids, lipid and fatty acids, carbohydrates, cofactors, and nucleotides. Our study highlights the potential of chemical-wide analysis for comprehensive exposure assessment beyond targeted chemicals. Coupled with advanced endogenous metabolomics, this approach allows for an in-depth exploration of metabolic alterations induced by environmental chemicals.
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Affiliation(s)
- Yujia Zhao
- Institute
for Risk Assessment Sciences, Utrecht University, Utrecht 3584 CM, The Netherlands
| | - Jeroen Meijer
- Institute
for Risk Assessment Sciences, Utrecht University, Utrecht 3584 CM, The Netherlands
- Department
Environment & Health, Vrije Universiteit, Amsterdam 1081 HV, The Netherlands
| | - Douglas I. Walker
- Gangarosa
Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia 30322, United States
| | - Juni Kim
- Gangarosa
Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia 30322, United States
| | - Lützen Portengen
- Institute
for Risk Assessment Sciences, Utrecht University, Utrecht 3584 CM, The Netherlands
| | - Dean P. Jones
- Division
of Pulmonary, Allergy, Critical Care and Sleep Medicine, School of
Medicine, Emory University, Atlanta, Georgia 30322, United States
| | - Fatemeh Saberi Hosnijeh
- Institute
for Risk Assessment Sciences, Utrecht University, Utrecht 3584 CM, The Netherlands
| | - Jelle Vlaanderen
- Institute
for Risk Assessment Sciences, Utrecht University, Utrecht 3584 CM, The Netherlands
| | - Roel Vermeulen
- Institute
for Risk Assessment Sciences, Utrecht University, Utrecht 3584 CM, The Netherlands
- Julius
Center for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht 3584 CX, The Netherlands
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17
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Tomalka J, Sharma A, Smith AGC, Avaliani T, Gujabidze M, Bakuradze T, Sabanadze S, Jones DP, Avaliani Z, Kipiani M, Kempker RR, Collins JM. Combined cerebrospinal fluid metabolomic and cytokine profiling in tuberculosis meningitis reveals robust and prolonged changes in immunometabolic networks. Tuberculosis (Edinb) 2024; 144:102462. [PMID: 38070353 PMCID: PMC10842779 DOI: 10.1016/j.tube.2023.102462] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Revised: 11/20/2023] [Accepted: 11/28/2023] [Indexed: 12/19/2023]
Abstract
Much of the high mortality in tuberculosis meningitis (TBM) is attributable to excessive inflammation, making it imperative to identify targets for host-directed therapies that reduce pathologic inflammation and mortality. In this study, we investigate how cytokines and metabolites in the cerebral spinal fluid (CSF) associate with TBM at diagnosis and during TBM treatment. At diagnosis, TBM patients (n = 17) demonstrate significant increases of cytokines and chemokines that promote inflammation and cell migration including IL-17A, IL-2, TNFα, IFNγ, and IL-1β versus asymptomatic controls without known central nervous system pathology (n = 20). Inflammatory immune signaling had a strong positive correlation with immunomodulatory metabolites including kynurenine, lactic acid, and carnitine and strong negative correlations with tryptophan and itaconate. Inflammatory immunometabolic networks were only partially reversed with two months of effective TBM treatment and remained significantly different compared to CSF from controls. Together, these data highlight a critical role for host metabolism in regulating the inflammatory response to TBM and indicate the timeline for restoration of immune homeostasis in the CSF is prolonged.
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Affiliation(s)
- Jeffrey Tomalka
- Department of Pathology, Emory University School of Medicine, Atlanta, GA, USA.
| | - Ashish Sharma
- Department of Pathology, Emory University School of Medicine, Atlanta, GA, USA
| | - Alison G C Smith
- Department of Medicine, Duke University School of Medicine, Durham, NC, USA
| | - Teona Avaliani
- National Center for Tuberculosis and Lung Diseases, Tbilisi, Georgia
| | - Mariam Gujabidze
- National Center for Tuberculosis and Lung Diseases, Tbilisi, Georgia
| | - Tinatin Bakuradze
- National Center for Tuberculosis and Lung Diseases, Tbilisi, Georgia
| | - Shorena Sabanadze
- National Center for Tuberculosis and Lung Diseases, Tbilisi, Georgia
| | - Dean P Jones
- Division of Division of Pulmonary, Allergy, Critical Care, and Sleep Medicine, Department of Medicine, Emory University School of Medicine, Atlanta, GA, USA
| | - Zaza Avaliani
- National Center for Tuberculosis and Lung Diseases, Tbilisi, Georgia; European University, Tbilisi, Georgia
| | - Maia Kipiani
- National Center for Tuberculosis and Lung Diseases, Tbilisi, Georgia; The University of Georgia, Tbilisi, Georgia; David Tvildiani Medical University, The University of Georgia, Tbilisi, Georgia
| | - Russell R Kempker
- Division of Infectious Diseases, Department of Medicine, Emory University School of Medicine, Atlanta, GA, USA
| | - Jeffrey M Collins
- Division of Infectious Diseases, Department of Medicine, Emory University School of Medicine, Atlanta, GA, USA.
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18
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Goodrich JA, Wang H, Walker DI, Lin X, Hu X, Alderete TL, Chen Z, Valvi D, Baumert BO, Rock S, Berhane K, Gilliland FD, Goran MI, Jones DP, Conti DV, Chatzi L. Postprandial Metabolite Profiles and Risk of Prediabetes in Young People: A Longitudinal Multicohort Study. Diabetes Care 2024; 47:151-159. [PMID: 37971952 PMCID: PMC10733648 DOI: 10.2337/dc23-0327] [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: 02/22/2023] [Accepted: 10/22/2023] [Indexed: 11/19/2023]
Abstract
OBJECTIVE Prediabetes in young people is an emerging epidemic that disproportionately impacts Hispanic populations. We aimed to develop a metabolite-based prediction model for prediabetes in young people with overweight/obesity at risk for type 2 diabetes. RESEARCH DESIGN AND METHODS In independent, prospective cohorts of Hispanic youth (discovery; n = 143 without baseline prediabetes) and predominately Hispanic young adults (validation; n = 56 without baseline prediabetes), we assessed prediabetes via 2-h oral glucose tolerance tests. Baseline metabolite levels were measured in plasma from a 2-h postglucose challenge. In the discovery cohort, least absolute shrinkage and selection operator regression with a stability selection procedure was used to identify robust predictive metabolites for prediabetes. Predictive performance was evaluated in the discovery and validation cohorts using logistic regression. RESULTS Two metabolites (allylphenol sulfate and caprylic acid) were found to predict prediabetes beyond known risk factors, including sex, BMI, age, ethnicity, fasting/2-h glucose, total cholesterol, and triglycerides. In the discovery cohort, the area under the receiver operator characteristic curve (AUC) of the model with metabolites and known risk factors was 0.80 (95% CI 0.72-0.87), which was higher than the risk factor-only model (AUC 0.63 [0.53-0.73]; P = 0.001). When the predictive models developed in the discovery cohort were applied to the replication cohort, the model with metabolites and risk factors predicted prediabetes more accurately (AUC 0.70 [95% CI 40.55-0.86]) than the same model without metabolites (AUC 0.62 [0.46-0.79]). CONCLUSIONS Metabolite profiles may help improve prediabetes prediction compared with traditional risk factors. Findings suggest that medium-chain fatty acids and phytochemicals are early indicators of prediabetes in high-risk youth.
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Affiliation(s)
- Jesse A. Goodrich
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA
| | - Hongxu Wang
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA
| | - Douglas I. Walker
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA
| | - Xiangping Lin
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Xin Hu
- Clinical Biomarkers Laboratory, Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, Emory University, Atlanta, GA
| | - Tanya L. Alderete
- Department of Integrative Physiology, University of Colorado Boulder, Boulder, CO
| | - Zhanghua Chen
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA
| | - Damaskini Valvi
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Brittney O. Baumert
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA
| | - Sarah Rock
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA
| | - Kiros Berhane
- Department of Biostatistics, Columbia University, New York, NY
| | - Frank D. Gilliland
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA
| | - Michael I. Goran
- Division of Endocrinology, Department of Pediatrics, Saban Research Institute, Children’s Hospital Los Angeles, Los Angeles, CA
- Department of Pediatrics, Keck School of Medicine, Los Angeles, CA
| | - Dean P. Jones
- Clinical Biomarkers Laboratory, Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, Emory University, Atlanta, GA
| | - David V. Conti
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA
| | - Leda Chatzi
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA
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19
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Wurth R, Turgeon C, Stander Z, Oglesbee D. An evaluation of untargeted metabolomics methods to characterize inborn errors of metabolism. Mol Genet Metab 2024; 141:108115. [PMID: 38181458 PMCID: PMC10843816 DOI: 10.1016/j.ymgme.2023.108115] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Revised: 11/19/2023] [Accepted: 12/12/2023] [Indexed: 01/07/2024]
Abstract
Inborn errors of metabolism (IEMs) encompass a diverse group of disorders that can be difficult to classify due to heterogenous clinical, molecular, and biochemical manifestations. Untargeted metabolomics platforms have become a popular approach to analyze IEM patient samples because of their ability to detect many metabolites at once, accelerating discovery of novel biomarkers, and metabolic mechanisms of disease. However, there are concerns about the reproducibility of untargeted metabolomics research due to the absence of uniform reporting practices, data analyses, and experimental design guidelines. Therefore, we critically evaluated published untargeted metabolomic platforms used to characterize IEMs to summarize the strengths and areas for improvement of this technology as it progresses towards the clinical laboratory. A total of 96 distinct IEMs were collectively evaluated by the included studies. However, most of these IEMs were evaluated by a single untargeted metabolomic method, in a single study, with a limited cohort size (55/96, 57%). The goals of the included studies generally fell into two, often overlapping, categories: detecting known biomarkers from many biochemically distinct IEMs using a single platform, and detecting novel metabolites or metabolic pathways. There was notable diversity in the design of the untargeted metabolomic platforms. Importantly, the majority of studies reported adherence to quality metrics, including the use of quality control samples and internal standards in their experiments, as well as confirmation of at least some of their feature annotations with commercial reference standards. Future applications of untargeted metabolomics platforms to the study of IEMs should move beyond single-subject analyses, and evaluate reproducibility using a prospective, or validation cohort.
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Affiliation(s)
- Rachel Wurth
- Mayo Clinic Graduate School of Biomedical Sciences, Mayo Clinic, 200 1(st) St SW, Rochester, MN 55905, USA
| | - Coleman Turgeon
- Department of Laboratory Medicine and Pathology, Mayo Clinic, 200 1st St SW, Rochester, MN 55905, USA
| | - Zinandré Stander
- Department of Laboratory Medicine and Pathology, Mayo Clinic, 200 1st St SW, Rochester, MN 55905, USA
| | - Devin Oglesbee
- Department of Laboratory Medicine and Pathology, Mayo Clinic, 200 1st St SW, Rochester, MN 55905, USA.
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20
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Chen Y, Paul KC, Walker DI, Jones DP, Wang X, Ritz BR, Heck JE. Neonatal per- and polyfluoroalkyl substance exposure in relation to retinoblastoma. ENVIRONMENTAL RESEARCH 2024; 240:117435. [PMID: 37866539 PMCID: PMC10842486 DOI: 10.1016/j.envres.2023.117435] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Revised: 09/29/2023] [Accepted: 10/16/2023] [Indexed: 10/24/2023]
Abstract
BACKGROUND Neonatal per- and polyfluoroalkyl substance (PFAS) exposure can disrupt hormonal homeostasis and induce neuro- and immunotoxicity in children. In this exploratory study, we investigated associations between PFAS levels in neonatal dried blood spots and retinoblastoma risk. MATERIALS AND METHODS This study included 501 retinoblastoma cases born from 1983 to 2011 and 899 controls frequency-matched by birth year (20:1 matching ratio), born to 755 US-born and 366 Mexico-born mothers in California. Perfluorooctanesulfonic acid (PFOS), perflurooctanoic acid (PFOA), and perfluorononanoic acid (PFNA) feature intensities were identified from neonatal blood spots from California newborn Genetic Disease Screening Program. Using logistic regression, we assessed whether an interquartile range (IQR) increase of PFAS levels or having above-mean levels of PFAS in blood affects retinoblastoma risk overall or its subtypes (i.e., unilateral, bilateral). We assessed children of US-born and Mexico-born mothers, separately. RESULTS AND DISCUSSION Among all children, above-mean PFOS levels at birth increased the odds of retinoblastoma overall by 29% (95% Confidence Interval (CI): 1.00, 1.67) and unilateral retinoblastoma by 42% (95% CI: 1.03, 1.97). For children of Mexico-born mothers, we estimated the highest odds of retinoblastoma overall (adjusted odds ratio (aOR): 1.67; 95% CI: 1.06, 2.66) and bilateral retinoblastoma (aOR: 2.06; 95% CI: 1.12, 3.92) with above-mean PFOS levels. Among children of US-born mothers, higher PFOS levels increased the odds of unilateral retinoblastoma by 15% (95% CI: 0.99, 1.35) for each IQR increase and by 71% among children with above-mean PFOS levels (95% CI: 1.04, 2.90). In addition, for children of US-born mothers, PFOA increased the odds of retinoblastoma overall (aOR: 1.41; 95% CI: 1.00, 2.02 for above-mean levels, aOR: 1.06; 95% CI: 0.98, 1.16 per IQR increase). PFNA was not associated with retinoblastoma risk. CONCLUSIONS Our results suggested that PFOS and PFOA might contribute to retinoblastoma risk in children born in California.
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Affiliation(s)
- Yixin Chen
- Department of Epidemiology, UCLA Fielding School of Public Health, Los Angeles, CA, USA
| | - Kimberly C Paul
- Department of Neurology, David Geffen School of Medicine, Los Angeles, CA, USA
| | - Douglas I Walker
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Dean P Jones
- Clinical Biomarkers Laboratory, Division of Pulmonary, Allergy, and Critical Care Medicine, School of Medicine, Emory University, Atlanta, GA, USA; Department of Medicine, Emory University, Atlanta, GA, USA
| | - Xuexia Wang
- Department of Biostatistics, Robert Stempel College of Public Health and Social Work, Florida International University, Miami, FL, USA
| | - Beate R Ritz
- Department of Epidemiology, UCLA Fielding School of Public Health, Los Angeles, CA, USA; Department of Neurology, David Geffen School of Medicine, Los Angeles, CA, USA
| | - Julia E Heck
- Department of Epidemiology, UCLA Fielding School of Public Health, Los Angeles, CA, USA; College of Health and Public Service, University of North Texas, Denton, TX, USA.
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21
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Hall AM, Fleury E, Papandonatos GD, Buckley JP, Cecil KM, Chen A, Lanphear BP, Yolton K, Walker DI, Pennell KD, Braun JM, Manz KE. Associations of a Prenatal Serum Per- and Polyfluoroalkyl Substance Mixture with the Cord Serum Metabolome in the HOME Study. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2023; 57:21627-21636. [PMID: 38091497 PMCID: PMC11185318 DOI: 10.1021/acs.est.3c07515] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/27/2023]
Abstract
Per- and polyfluoroalkyl substances (PFAS) are ubiquitous and persistent chemicals associated with multiple adverse health outcomes; however, the biological pathways affected by these chemicals are unknown. To address this knowledge gap, we used data from 264 mother-infant dyads in the Health Outcomes and Measures of the Environment (HOME) Study and employed quantile-based g-computation to estimate covariate-adjusted associations between a prenatal (∼16 weeks' gestation) serum PFAS mixture [perfluorooctanesulfonic acid (PFOS), perfluorooctanoic acid (PFOA), perfluorohexanesulfonic acid (PFHxS), and perfluorononanoic acid (PFNA)] and 14,402 features measured in cord serum. The PFAS mixture was associated with four features: PFOS, PFHxS, a putatively identified metabolite (3-monoiodo-l-thyronine 4-O-sulfate), and an unidentified feature (590.0020 m/z and 441.4 s retention time; false discovery rate <0.20). Using pathway enrichment analysis coupled with quantile-based g-computation, the PFAS mixture was associated with 49 metabolic pathways, most notably amino acid, carbohydrate, lipid and cofactor and vitamin metabolism, as well as glycan biosynthesis and metabolism (P(Gamma) <0.05). Future studies should assess if these pathways mediate associations of prenatal PFAS exposure with infant or child health outcomes, such as birthweight or vaccine response.
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Affiliation(s)
- Amber M Hall
- Department of Epidemiology, Brown University, Providence, Rhode Island 02912, United States
| | - Elvira Fleury
- Department of Epidemiology, Brown University, Providence, Rhode Island 02912, United States
| | - George D Papandonatos
- Department of Biostatistics, Brown University, Providence, Rhode Island 02912, United States
| | - Jessie P Buckley
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, United States
| | - Kim M Cecil
- Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, Ohio 45229, United States
- Department of Radiology, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, Ohio 45229, United States
| | - Aimin Chen
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States
| | - Bruce P Lanphear
- Faculty of Health Sciences, Simon Fraser University, Burnaby, British Columbia V5A 1S6, Canada
| | - Kimberly Yolton
- Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, Ohio 45229, United States
| | - Douglas I Walker
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia 30322, United States
| | - Kurt D Pennell
- School of Engineering, Brown University, Providence, Rhode Island 02912, United States
| | - Joseph M Braun
- Department of Epidemiology, Brown University, Providence, Rhode Island 02912, United States
| | - Katherine E Manz
- School of Engineering, Brown University, Providence, Rhode Island 02912, United States
- Department of Environmental Health Sciences, School of Public Health, University of Michigan, Ann Arbor, Michigan 48109, United States
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22
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Paul KC, Zhang K, Walker DI, Sinsheimer J, Yu Y, Kusters C, Del Rosario I, Folle AD, Keener AM, Bronstein J, Jones DP, Ritz B. Untargeted serum metabolomics reveals novel metabolite associations and disruptions in amino acid and lipid metabolism in Parkinson's disease. Mol Neurodegener 2023; 18:100. [PMID: 38115046 PMCID: PMC10731845 DOI: 10.1186/s13024-023-00694-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Accepted: 12/06/2023] [Indexed: 12/21/2023] Open
Abstract
BACKGROUND Untargeted high-resolution metabolomic profiling provides simultaneous measurement of thousands of metabolites. Metabolic networks based on these data can help uncover disease-related perturbations across interconnected pathways. OBJECTIVE Identify metabolic disturbances associated with Parkinson's disease (PD) in two population-based studies using untargeted metabolomics. METHODS We performed a metabolome-wide association study (MWAS) of PD using serum-based untargeted metabolomics data derived from liquid chromatography with high-resolution mass spectrometry (LC-HRMS) using two distinct population-based case-control populations. We also combined our results with a previous publication of 34 metabolites linked to PD in a large-scale, untargeted MWAS to assess external validation. RESULTS LC-HRMS detected 4,762 metabolites for analysis (HILIC: 2716 metabolites; C18: 2046 metabolites). We identified 296 features associated with PD at FDR<0.05, 134 having a log2 fold change (FC) beyond ±0.5 (228 beyond ±0.25). Of these, 104 were independently associated with PD in both discovery and replication studies at p<0.05 (170 at p<0.10), while 27 were associated with levodopa-equivalent dose among the PD patients. Intriguingly, among the externally validated features were the microbial-related metabolites, p-cresol glucuronide (FC=2.52, 95% CI=1.67, 3.81, FDR=7.8e-04) and p-cresol sulfate. P-cresol glucuronide was also associated with motor symptoms among patients. Additional externally validated metabolites associated with PD include phenylacetyl-L-glutamine, trigonelline, kynurenine, biliverdin, and pantothenic acid. Novel associations include the anti-inflammatory metabolite itaconate (FC=0.79, 95% CI=0.73, 0.86; FDR=2.17E-06) and cysteine-S-sulfate (FC=1.56, 95% CI=1.39, 1.75; FDR=3.43E-11). Seventeen pathways were enriched, including several related to amino acid and lipid metabolism. CONCLUSIONS Our results revealed PD-associated metabolites, confirming several previous observations, including for p-cresol glucuronide, and newly implicating interesting metabolites, such as itaconate. Our data also suggests metabolic disturbances in amino acid and lipid metabolism and inflammatory processes in PD.
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Affiliation(s)
- Kimberly C Paul
- Department of Neurology, UCLA David Geffen School of Medicine, Los Angeles, CA, USA.
| | - Keren Zhang
- Department of Epidemiology, UCLA Fielding School of Public Health, Los Angeles, CA, USA
| | - Douglas I Walker
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Janet Sinsheimer
- Department of Human Genetics, UCLA David Geffen School of Medicine, Los Angeles, CA, USA
- Department of Biostatistics, UCLA Fielding School of Public Health, Los Angeles, CA, USA
| | - Yu Yu
- Center for Health Policy Research, UCLA Fielding School of Public Health, Los Angeles, CA, USA
| | - Cynthia Kusters
- Department of Human Genetics, UCLA David Geffen School of Medicine, Los Angeles, CA, USA
| | - Irish Del Rosario
- Department of Epidemiology, UCLA Fielding School of Public Health, Los Angeles, CA, USA
| | - Aline Duarte Folle
- Department of Epidemiology, UCLA Fielding School of Public Health, Los Angeles, CA, USA
| | - Adrienne M Keener
- Department of Neurology, UCLA David Geffen School of Medicine, Los Angeles, CA, USA
- Parkinson's Disease Research, Education, and Clinical Center, Greater Los Angeles Veterans Affairs Medical Center, Los Angeles, CA, USA
| | - Jeff Bronstein
- Department of Neurology, UCLA David Geffen School of Medicine, Los Angeles, CA, USA
| | - Dean P Jones
- Department of Medicine, School of Medicine, Emory University, Atlanta, GA, USA
| | - Beate Ritz
- Department of Neurology, UCLA David Geffen School of Medicine, Los Angeles, CA, USA
- Department of Epidemiology, UCLA Fielding School of Public Health, Los Angeles, CA, USA
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23
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Taibl KR, Bellissimo MP, Smith MR, Liu KH, Tran VT, Jones DP, Ziegler TR, Alvarez JA. Characterizing substrate utilization during the fasted state using plasma high-resolution metabolomics. Nutrition 2023; 116:112160. [PMID: 37566924 PMCID: PMC10787037 DOI: 10.1016/j.nut.2023.112160] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Revised: 06/29/2023] [Accepted: 07/09/2023] [Indexed: 08/13/2023]
Abstract
OBJECTIVES High-resolution metabolomics enables global assessment of metabolites and molecular pathways underlying physiologic processes, including substrate utilization during the fasted state. The clinical index for substrate utilization, respiratory exchange ratio (RER), is measured via indirect calorimetry. The aim of this pilot study was to use metabolomics to identify metabolic pathways and plasma metabolites associated with substrate utilization in healthy, fasted adults. METHODS This cross-sectional study included 33 adults (mean age 27.7 ± 4.9 y, mean body mass index 24.8 ± 4 kg/m2). Participants underwent indirect calorimetry to determine resting RER after an overnight fast. Untargeted metabolomics was performed on fasted plasma samples using dual-column liquid chromatography and ultra-high-resolution mass spectrometry. Linear regression and pathway enrichment analyses identified pathways and metabolites associated with substrate utilization measured with indirect calorimetry. RESULTS RER was significantly associated with 1389 metabolites enriched within 13 metabolic pathways (P < 0.05). Lipid-related findings included general pathways, such as fatty acid activation, and specific pathways, such as C21-steroid hormone biosynthesis and metabolism, butyrate metabolism, and carnitine shuttle. Amino acid pathways included those central to metabolism, such as glucogenic amino acids, and pathways needed to maintain reduction-oxidation reactions, such as methionine and cysteine metabolism. Galactose and pyrimidine metabolism were also associated with RER (all P < 0.05). CONCLUSIONS The fasting plasma metabolome reflects the diverse macronutrient pathways involved in carbohydrate, amino acid, and lipid metabolism during the fasted state in healthy adults. Future studies should consider the utility of metabolomics to profile individual nutrient requirements and compare findings reported here to clinical populations.
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Affiliation(s)
- Kaitlin R Taibl
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia, United States
| | - Moriah P Bellissimo
- Pauley Heart Center, Division of Cardiology, Department of Internal Medicine, Virginia Commonwealth University School of Medicine, Richmond, Virginia, United States
| | - Matthew Ryan Smith
- Division of Pulmonary, Allergy, Critical Care, and Sleep Medicine, Department of Medicine, Emory University School of Medicine, Atlanta, Georgia, United States
| | - Ken H Liu
- Division of Pulmonary, Allergy, Critical Care, and Sleep Medicine, Department of Medicine, Emory University School of Medicine, Atlanta, Georgia, United States
| | - ViLinh T Tran
- Division of Pulmonary, Allergy, Critical Care, and Sleep Medicine, Department of Medicine, Emory University School of Medicine, Atlanta, Georgia, United States
| | - Dean P Jones
- Division of Pulmonary, Allergy, Critical Care, and Sleep Medicine, Department of Medicine, Emory University School of Medicine, Atlanta, Georgia, United States
| | - Thomas R Ziegler
- Division of Endocrinology, Metabolism and Lipids, Department of Medicine, Emory University School of Medicine, Atlanta, Georgia, United States; Emory Center for Clinical and Molecular Nutrition, Emory University, Atlanta, Georgia, United States
| | - Jessica A Alvarez
- Division of Endocrinology, Metabolism and Lipids, Department of Medicine, Emory University School of Medicine, Atlanta, Georgia, United States; Emory Center for Clinical and Molecular Nutrition, Emory University, Atlanta, Georgia, United States.
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Yan Q, He D, Walker DI, Uppal K, Wang X, Orimoloye HT, Jones DP, Ritz BR, Heck JE. The neonatal blood spot metabolome in retinoblastoma. EJC PAEDIATRIC ONCOLOGY 2023; 2:100123. [PMID: 38130370 PMCID: PMC10735245 DOI: 10.1016/j.ejcped.2023.100123] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/23/2023]
Abstract
Background Retinoblastoma is rare but nevertheless the most common pediatric eye cancer that occurs in children under age 5. High-resolution metabolomics (HRM) is a powerful analytical approach to profile metabolic features and pathways or identify metabolite biomarkers. To date, no studies have used pre-diagnosis blood samples from retinoblastoma cases and compared them to healthy controls to elucidate early perturbations in tumor pathways. Objectives Here, we report on metabolic profiles of neonatal blood comparing cases later in childhood diagnosed with retinoblastoma and controls. Methods We employed untargeted metabolomics analysis using neonatal dried blood spots for 1327 children (474 retinoblastoma cases and 853 healthy controls) born in California from 1983 to 2011. Cases were selected from the California Cancer Registry and controls, frequency matched to cases by birth year, from California birth rolls. We performed high-resolution metabolomics to extract metabolic features, partial least squares discriminant analysis (PLS-DA) and logistic regression to identify features associated with disease, and Mummichog pathway analysis to characterize enriched biological pathways. Results PLS-DA identified 1917 discriminative features associated with retinoblastoma and Mummichog identified 14 retinoblastoma-related enriched pathways including linoleate metabolism, pentose phosphate pathway, pyrimidine metabolism, fructose and mannose metabolism, vitamin A metabolism, as well as fatty acid and lipid metabolism. Interpretation Our findings linked a retinoblastoma diagnosis in early life to newborn blood metabolome perturbations indicating alterations in inflammatory pathways and energy metabolism. Neonatal blood spots may provide a venue for early detection for this or potentially other childhood cancers.
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Affiliation(s)
- Qi Yan
- Department of Epidemiology, UCLA Fielding School of Public Health, Los Angeles, CA, USA
| | - Di He
- Department of Epidemiology, UCLA Fielding School of Public Health, Los Angeles, CA, USA
| | - Douglas I. Walker
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Karan Uppal
- Clinical Biomarkers Laboratory, Division of Pulmonary, Allergy, and Critical Care Medicine, School of Medicine, Emory University, Atlanta, GA, USA
| | - Xuexia Wang
- Department of Mathematics, University of North Texas, Denton, TX, USA
| | - Helen T. Orimoloye
- College of Health and Public Service, University of North Texas, Denton, TX, USA
| | - Dean P. Jones
- Clinical Biomarkers Laboratory, Division of Pulmonary, Allergy, and Critical Care Medicine, School of Medicine, Emory University, Atlanta, GA, USA
- Department of Medicine, Emory University, Atlanta, GA, USA
| | - Beate R. Ritz
- Department of Epidemiology, UCLA Fielding School of Public Health, Los Angeles, CA, USA
- Department of Neurology, UCLA School of Medicine, CA, USA
| | - Julia E. Heck
- Department of Epidemiology, UCLA Fielding School of Public Health, Los Angeles, CA, USA
- College of Health and Public Service, University of North Texas, Denton, TX, USA
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25
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Gundogan K, Nellis MM, Ozer NT, Ergul SS, Sahin GG, Temel S, Yuksel RC, Teeny S, Alvarez JA, Sungur M, Jones DP, Ziegler TR. High-Resolution Plasma Metabolomics and Thiamine Status in Critically Ill Adult Patients. RESEARCH SQUARE 2023:rs.3.rs-3597052. [PMID: 38014088 PMCID: PMC10680934 DOI: 10.21203/rs.3.rs-3597052/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/29/2023]
Abstract
BACKGROUND AND AIM Thiamine (Vitamin B1) is an essential micronutrient and a co-factor for metabolic functions related to energy metabolism. We determined the association between whole blood thiamine pyrophosphate (TPP) concentrations and plasma metabolites using high resolution metabolomics in critically ill patients. Methods Cross-sectional study performed in Erciyes University Hospital, Kayseri, Turkey and Emory University, Atlanta, GA, USA. Participants were ≥ 18 years of age, with an expected length of ICU stay longer than 48 hours, receiving furosemide therapy for at least 6 months before ICU admission. Results Blood for TPP and metabolomics was obtained on the day of ICU admission. Whole blood TPP concentrations were measured using high-performance liquid chromatography (HPLC). Liquid chromatography/mass spectrometry was used for plasma high-resolution metabolomics. Data was analyzed using regression analysis of TPP levels against all plasma metabolomic features in metabolome-wide association studies. We also compared metabolomic features from patients in the highest TPP concentration tertile to patients in the lowest TPP tertile as a secondary analysis. We enrolled 76 participants with a median age of 69 (range, 62.5-79.5) years. Specific metabolic pathways associated with whole blood TPP levels, using both regression and tertile analysis, included pentose phosphate, fructose and mannose, branched chain amino acid, arginine and proline, linoleate, and butanoate pathways. Conclusions Plasma high-resolution metabolomics analysis showed that whole blood TPP concentrations are significantly associated with metabolites and metabolic pathways linked to the metabolism of energy, amino acids, lipids, and the gut microbiome in adult critically ill patients.
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Hood RB, Liang D, Tan Y, Ford JB, Souter I, Chavarro JE, Jones DP, Hauser R, Gaskins AJ. Serum and follicular fluid metabolome and markers of ovarian stimulation. Hum Reprod 2023; 38:2196-2207. [PMID: 37740688 PMCID: PMC10628502 DOI: 10.1093/humrep/dead189] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2023] [Revised: 08/22/2023] [Indexed: 09/25/2023] Open
Abstract
STUDY QUESTION What metabolic pathways and metabolites in the serum and follicular fluid are associated with peak estradiol levels and the number of mature oocytes? SUMMARY ANSWER In the serum metabolome, mostly fatty acid and amino acid pathways were associated with estradiol levels and mature oocytes while in the follicular fluid metabolome, mostly lipid, vitamin, and hormone pathways were associated with peak estradiol levels and mature oocytes. WHAT IS KNOWN ALREADY Metabolomics has identified several metabolic pathways and metabolites associated with infertility but limited data are available for ovarian stimulation outcomes. STUDY DESIGN, SIZE, DURATION A prospective cohort study of women undergoing IVF from 2009 to 2015. PARTICIPANTS/MATERIALS, SETTING, METHODS A total of 125 women undergoing a fresh IVF cycle at a fertility clinic in the Northeast United States who provided a serum and follicular fluid sample. Untargeted metabolomics profiling was conducted using liquid chromatography with high-resolution mass spectrometry in two chromatography columns (C18 and hydrophilic interaction chromatography (HILIC)). The main ovarian stimulation outcomes were peak serum estradiol levels and number of mature oocytes. We utilized adjusted generalized linear regression models to identify significant metabolic features. Models were adjusted for age,BMI, initial infertility diagnosis, and ovarian stimulation protocol. We then conducted pathway analysis using mummichog and metabolite annotation using level-1 evidence. MAIN RESULTS AND ROLE OF CHANCE In the serum metabolome, 480 and 850 features were associated with peak estradiol levels in the C18 and HILIC columns, respectively. Additionally, 437 and 538 features were associated with mature oocytes in the C18 and HILIC columns, respectively. In the follicular fluid metabolome, 752 and 929 features were associated with peak estradiol levels in the C18 and HILIC columns, respectively, Additionally, 993 and 986 features were associated with mature oocytes in the C18 and HILIC columns, respectively. The most common pathways associated with peak estradiol included fatty acids (serum and follicular fluid), hormone (follicular fluid), and lipid pathways (follicular fluid). The most common pathways associated with the number of mature oocytes retrieved included amino acids (serum), fatty acids (serum and follicular fluid), hormone (follicular fluid), and vitamin pathways(follicular fluid). The vitamin D3 pathway had the strongest association with both ovarian stimulation outcomes in the follicularfluid. Four and nine metabolites were identified using level-1 evidence (validated identification) in the serum and follicular fluid metabolomes, respectively. LIMITATIONS, REASONS FOR CAUTION Our sample was majority White and highly educated and may not be generalizable to thewider population. Additionally, residual confounding is possible and the flushing medium used in the follicular fluid could have diluted our results. WIDER IMPLICATIONS OF THE FINDINGS The pathways and metabolites identified by our study provide novel insights into the biologicalmechanisms in the serum and follicular fluid that may underlie follicular and oocyte development, which could potentially be used to improve ovarian stimulation outcomes. STUDY FUNDING/COMPETING INTEREST(S) This work was supported by the following grants from the National Institute of Environmental Health Sciences (P30-ES019776, R01-ES009718, R01-ES022955, P30-ES000002, R00-ES026648, and T32-ES012870), and National Institute of Diabetes and Digestive and Kidney Diseases (P30DK046200). The authors have no competing interests to disclose. TRIAL REGISTRATION NUMBER N/A.
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Affiliation(s)
- Robert B Hood
- Department of Epidemiology, Emory University Rollins School of Public Health, Atlanta, GA, 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
| | - Jennifer B Ford
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Irene Souter
- Vincent Obstetrics and Gynecology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Jorge E Chavarro
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, USA
- Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Dean P Jones
- Division of Pulmonary, Allergy, & Critical Care Medicine, Emory University School of Medicine, Atlanta, GA, USA
| | - Russ Hauser
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Audrey J Gaskins
- Department of Epidemiology, Emory University Rollins School of Public Health, Atlanta, GA, USA
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Woodworth MH, Conrad RE, Haldopoulos M, Pouch SM, Babiker A, Mehta AK, Sitchenko KL, Wang CH, Strudwick A, Ingersoll JM, Philippe C, Lohsen S, Kocaman K, Lindner BG, Hatt JK, Jones RM, Miller C, Neish AS, Friedman-Moraco R, Karadkhele G, Liu KH, Jones DP, Mehta CC, Ziegler TR, Weiss DS, Larsen CP, Konstantinidis KT, Kraft CS. Fecal microbiota transplantation promotes reduction of antimicrobial resistance by strain replacement. Sci Transl Med 2023; 15:eabo2750. [PMID: 37910603 PMCID: PMC10821315 DOI: 10.1126/scitranslmed.abo2750] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Accepted: 06/05/2023] [Indexed: 11/03/2023]
Abstract
Multidrug-resistant organism (MDRO) colonization is a fundamental challenge in antimicrobial resistance. Limited studies have shown that fecal microbiota transplantation (FMT) can reduce MDRO colonization, but its mechanisms are poorly understood. We conducted a randomized, controlled trial of FMT for MDRO decolonization in renal transplant recipients called PREMIX (NCT02922816). Eleven participants were enrolled and randomized 1:1 to FMT or an observation period followed by delayed FMT if stool cultures were MDRO positive at day 36. Participants who were MDRO positive after one FMT were treated with a second FMT. At last visit, eight of nine patients who completed all treatments were MDRO culture negative. FMT-treated participants had longer time to recurrent MDRO infection versus PREMIX-eligible controls who were not treated with FMT. Key taxa (Akkermansia muciniphila, Alistipes putredinis, Phocaeicola dorei, Phascolarctobacterium faecium, Alistipes species, Mesosutterella massiliensis, Barnesiella intestinihominis, and Faecalibacterium prausnitzii) from the single feces donor used in the study that engrafted in recipients and metabolites such as short-chain fatty acids and bile acids in FMT-responding participants uncovered leads for rational microbiome therapeutic and diagnostic development. Metagenomic analyses revealed a previously unobserved mechanism of MDRO eradication by conspecific strain competition in an FMT-treated subset. Susceptible Enterobacterales strains that replaced baseline extended-spectrum β-lactamase-producing strains were not detectable in donor microbiota manufactured as FMT doses but in one case were detectable in the recipient before FMT. These data suggest that FMT may provide a path to exploit strain competition to reduce MDRO colonization.
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Affiliation(s)
- Michael H. Woodworth
- Division of Infectious Diseases, Department of Medicine, Emory University School of Medicine; Atlanta, Georgia, 30322, USA
- Emory Antibiotic Resistance Center; Atlanta, Georgia, 30322, USA
| | - Roth E Conrad
- Ocean Science & Engineering, School of Biological Sciences, Georgia Institute of Technology; Atlanta, Georgia, 30332, USA
| | | | - Stephanie M. Pouch
- Division of Infectious Diseases, Department of Medicine, Emory University School of Medicine; Atlanta, Georgia, 30322, USA
- Emory Antibiotic Resistance Center; Atlanta, Georgia, 30322, USA
| | - Ahmed Babiker
- Division of Infectious Diseases, Department of Medicine, Emory University School of Medicine; Atlanta, Georgia, 30322, USA
- Emory Antibiotic Resistance Center; Atlanta, Georgia, 30322, USA
- Department of Pathology and Laboratory Medicine, Emory University School of Medicine; Atlanta, Georgia, 30322, USA
| | - Aneesh K. Mehta
- Division of Infectious Diseases, Department of Medicine, Emory University School of Medicine; Atlanta, Georgia, 30322, USA
- Emory Transplant Center; Atlanta, Georgia, 30322, USA
| | - Kaitlin L. Sitchenko
- Division of Infectious Diseases, Department of Medicine, Emory University School of Medicine; Atlanta, Georgia, 30322, USA
- Department of Pathology and Laboratory Medicine, Emory University School of Medicine; Atlanta, Georgia, 30322, USA
| | - Charlotte H. Wang
- Emory College of Arts and Sciences, Emory University; Atlanta, Georgia, 30322, USA
| | - Amanda Strudwick
- Division of Infectious Diseases, Department of Medicine, Emory University School of Medicine; Atlanta, Georgia, 30322, USA
| | - Jessica M. Ingersoll
- Department of Pathology and Laboratory Medicine, Emory University School of Medicine; Atlanta, Georgia, 30322, USA
| | - Cécile Philippe
- Division of Infectious Diseases, Department of Medicine, Emory University School of Medicine; Atlanta, Georgia, 30322, USA
| | - Sarah Lohsen
- Division of Infectious Diseases, Department of Medicine, Emory University School of Medicine; Atlanta, Georgia, 30322, USA
| | - Kumru Kocaman
- School of Civil and Environmental Engineering, Georgia Institute of Technology; Atlanta, Georgia, 30332, USA
| | - Blake G. Lindner
- School of Civil and Environmental Engineering, Georgia Institute of Technology; Atlanta, Georgia, 30332, USA
| | - Janet K. Hatt
- School of Civil and Environmental Engineering, Georgia Institute of Technology; Atlanta, Georgia, 30332, USA
| | - Rheinallt M. Jones
- Division of Pediatric Gastroenterology, Hepatology, and Nutrition, Department of Pediatrics, Emory University School of Medicine; Atlanta, Georgia, 30322, USA
| | - Candace Miller
- Department of Pathology and Laboratory Medicine, Emory University School of Medicine; Atlanta, Georgia, 30322, USA
| | - Andrew S. Neish
- Department of Pathology and Laboratory Medicine, Emory University School of Medicine; Atlanta, Georgia, 30322, USA
| | - Rachel Friedman-Moraco
- Division of Infectious Diseases, Department of Medicine, Emory University School of Medicine; Atlanta, Georgia, 30322, USA
| | | | - Ken H. Liu
- Clinical Biomarkers Laboratory, Department of Medicine, Emory University; Atlanta, Georgia, 30322, USA
| | - Dean P. Jones
- Clinical Biomarkers Laboratory, Department of Medicine, Emory University; Atlanta, Georgia, 30322, USA
| | - C. Christina Mehta
- Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University; Atlanta, GA, 30322, USA
| | - Thomas R. Ziegler
- Division of Endocrinology, Metabolism and Lipids, Department of Medicine, Emory University School of Medicine; Atlanta, Georgia, 30322, USA
| | - David S. Weiss
- Division of Infectious Diseases, Department of Medicine, Emory University School of Medicine; Atlanta, Georgia, 30322, USA
- Emory Antibiotic Resistance Center; Atlanta, Georgia, 30322, USA
| | | | | | - Colleen S. Kraft
- Division of Infectious Diseases, Department of Medicine, Emory University School of Medicine; Atlanta, Georgia, 30322, USA
- Emory Antibiotic Resistance Center; Atlanta, Georgia, 30322, USA
- Department of Pathology and Laboratory Medicine, Emory University School of Medicine; Atlanta, Georgia, 30322, USA
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Liang D, Taibl KR, Dunlop AL, Barr DB, Ryan PB, Everson T, Huels A, Tan Y, Panuwet P, Kannan K, Marsit C, Jones DP, Eick SM. Metabolic Perturbations Associated with an Exposure Mixture of Per- and Polyfluoroalkyl Substances in the Atlanta African American Maternal-Child Cohort. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2023; 57:16206-16218. [PMID: 37857362 PMCID: PMC10620983 DOI: 10.1021/acs.est.3c04561] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Revised: 09/25/2023] [Accepted: 09/27/2023] [Indexed: 10/21/2023]
Abstract
Prenatal exposure to single chemicals belonging to the per- and polyfluoroalkyl substances (PFAS) family is associated with biological perturbations in the mother, fetus, and placenta, plus adverse health outcomes. Despite our knowledge that humans are exposed to multiple PFAS, the potential joint effects of PFAS on the metabolome remain largely unknown. Here, we leveraged high-resolution metabolomics to identify metabolites and metabolic pathways perturbed by exposure to a PFAS mixture during pregnancy. Targeted assessment of perfluorooctanoic acid (PFOA), perfluorononanoic acid (PFNA), perfluorooctanesulfonic acid (PFOS), and perfluorohexanesulfonic acid (PFHxS), along with untargeted metabolomics profiling, were conducted on nonfasting serum samples collected from pregnant African Americans at 6-17 weeks gestation. We estimated the overall mixture effect and partial effects using quantile g-computation and single-chemical effects using linear regression. All models were adjusted for maternal age, education, parity, early pregnancy body mass index, substance use, and gestational weeks at sample collection. Our analytic sample included 268 participants and was socioeconomically diverse, with the majority receiving public health insurance (78%). We observed 13.3% of the detected metabolic features were associated with the PFAS mixture (n = 1705, p < 0.05), which was more than any of the single PFAS chemicals. There was a consistent association with metabolic pathways indicative of systemic inflammation and oxidative stress (e.g., glutathione, histidine, leukotriene, linoleic acid, prostaglandins, and vitamins A, C, D, and E metabolism) across all metabolome-wide association studies. Twenty-six metabolites were validated against authenticated compounds and associated with the PFAS mixture (p < 0.05). Based on quantile g-computation weights, PFNA contributed the most to the overall mixture effect for γ-aminobutyric acid (GABA), tyrosine, and uracil. In one of the first studies of its kind, we demonstrate the feasibility and utility of using methods designed for exposure mixtures in conjunction with metabolomics to assess the potential joint effects of multiple PFAS chemicals on the human metabolome. We identified more pronounced metabolic perturbations associated with the PFAS mixture than for single PFAS chemicals. Taken together, our findings illustrate the potential for integrating environmental mixture analyses and high-throughput metabolomics to elucidate the molecular mechanisms underlying human health.
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Affiliation(s)
- Donghai Liang
- Gangarosa
Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia 30322, United States
| | - Kaitlin R. Taibl
- Gangarosa
Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia 30322, United States
| | - Anne L. Dunlop
- Department
of Gynecology and Obstetrics, School of Medicine, Emory University, Atlanta, Georgia 30322, United States
| | - Dana Boyd Barr
- Gangarosa
Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia 30322, United States
| | - P. Barry Ryan
- Gangarosa
Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia 30322, United States
| | - Todd Everson
- Gangarosa
Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia 30322, United States
| | - Anke Huels
- Gangarosa
Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia 30322, United States
- Department
of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia 30322, United States
| | - Youran Tan
- Gangarosa
Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia 30322, United States
| | - Parinya Panuwet
- Gangarosa
Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia 30322, United States
| | - Kurunthachalam Kannan
- Department
of Pediatrics, New York University School
of Medicine, New York, New York 10016, United States
- Department
of Environmental Medicine, New York University
School of Medicine, New York, New York 10016, United States
| | - Carmen Marsit
- Gangarosa
Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia 30322, United States
| | - Dean P. Jones
- Division
of Pulmonary, Allergy, and Critical Care Medicine, Department of Medicine,
School of Medicine, Emory University, Atlanta, Georgia 30322, United States
| | - Stephanie M. Eick
- Gangarosa
Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia 30322, United States
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29
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He D, Yan Q, Uppal K, Walker DI, Jones DP, Ritz B, Heck JE. Metabolite Stability in Archived Neonatal Dried Blood Spots Used for Epidemiologic Research. Am J Epidemiol 2023; 192:1720-1730. [PMID: 37218607 PMCID: PMC11004922 DOI: 10.1093/aje/kwad122] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2021] [Revised: 09/01/2022] [Accepted: 05/17/2023] [Indexed: 05/24/2023] Open
Abstract
Epidemiologic studies of low-frequency exposures or outcomes using metabolomics analyses of neonatal dried blood spots (DBS) often require assembly of samples with substantial differences in duration of storage. Independent assessment of stability of metabolites in archived DBS will enable improved design and interpretation of epidemiologic research utilizing DBS. Neonatal DBS routinely collected and stored as part of the California Genetic Disease Screening Program between 1983 and 2011 were used. The study population included 899 children without cancer before age 6 years, born in California. High-resolution metabolomics with liquid-chromatography mass spectrometry was performed, and the relative ion intensities of common metabolites and selected xenobiotic metabolites of nicotine (cotinine and hydroxycotinine) were evaluated. In total, we detected 26,235 mass spectral features across 2 separate chromatography methods (C18 hydrophobic reversed-phase chromatography and hydrophilic-interaction liquid chromatography). For most of the 39 metabolites related to nutrition and health status, we found no statistically significant annual trends across the years of storage. Nicotine metabolites were captured in the DBS with relatively stable intensities. This study supports the usefulness of DBS stored long-term for epidemiologic studies of the metabolome. -Omics-based information gained from DBS may also provide a valuable tool for assessing prenatal environmental exposures in child health research.
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Affiliation(s)
| | | | | | | | | | | | - Julia E Heck
- Correspondence to Dr. Julia E. Heck, College of Health and Public Service, UNT 1155 Union Circle #311340, Denton, TX 76203-5017 (e-mail: )
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Chicas RC, Wang Y, Jennifer Weil E, Elon L, Xiuhtecutli N, C Houser M, Jones DP, M Sands J, Hertzberg V, McCauley L, Liang D. The impact of heat exposures on biomarkers of AKI and plasma metabolome among agricultural and non-agricultural workers. ENVIRONMENT INTERNATIONAL 2023; 180:108206. [PMID: 37734144 PMCID: PMC10637212 DOI: 10.1016/j.envint.2023.108206] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Revised: 08/22/2023] [Accepted: 09/11/2023] [Indexed: 09/23/2023]
Abstract
BACKGROUND Agricultural workers are consistently exposed to elevated heat exposures and vulnerable to acute kidney injury. The underlying pathophysiology and detailed molecular mechanisms of AKI among agricultural workers, and the disproportionate burden of HRI and heat stress exposure are not well understood, especially at the level of cellular metabolism. OBJECTIVE The aim of this study was to examine the impact of heat exposures on renal biomarkers and on the human metabolome via untargeted high-resolution metabolomics among agricultural and non-agricultural workers. METHODS Blood and urine samples were collected pre- and post-work shift from 63 agricultural workers and 27 non- agricultural workers. We evaluated pre- and post-work shift renal biomarkers and completed untargeted metabolomics using high-resolution mass spectrometry with liquid chromatography. Metabolome-wide association studies (MWAS) models identified the metabolic features differentially expressed between agricultural workers and non-agricultural workers. RESULTS Median values of pre-shift creatinine and osteopontin (p < 0.05) were higher for agricultural workers than non-agricultural workers. Metabolic pathway enrichment analyses revealed 27 diverse pathways differed between agricultural workers and non-agricultural workers (p < 0.05) including TCA cycle and urea cycle, carbohydrate metabolism, histidine metabolism and evidence for altered microbiome shikimate pathway. CONCLUSION This is the first investigation on the metabolic pathways that are affected among agricultural workers who are exposed to heat compared to non-heat exposed workers. This study shows extensive responses of central metabolic systems to heat exposures that impact human health.
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Affiliation(s)
- Roxana C Chicas
- Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, GA, USA.
| | - Yilin Wang
- Rollins School of Public Health, Gangarosa Department of Environmental Health, Emory University, Atlanta, GA, USA.
| | - E Jennifer Weil
- Division of Renal Medicine, Department of Medicine, Emory University, Atlanta, GA, USA.
| | - Lisa Elon
- Rollins School of Public Health, Gangarosa Department of Environmental Health, Emory University, Atlanta, GA, USA.
| | - Nezahualcoyotl Xiuhtecutli
- Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, GA, USA; Farmworker Association of Florida, Apopka, FL, USA.
| | - Madelyn C Houser
- Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, GA, USA.
| | - Dean P Jones
- Department of Medicine, Emory University, Atlanta, GA, USA.
| | - Jeff M Sands
- Division of Renal Medicine, Department of Medicine, Emory University, Atlanta, GA, USA.
| | - Vicki Hertzberg
- Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, GA, USA.
| | - Linda McCauley
- Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, GA, USA.
| | - Donghai Liang
- Rollins School of Public Health, Gangarosa Department of Environmental Health, Emory University, Atlanta, GA, USA.
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Lee IH, Walker DI, Lin Y, Smith MR, Mandl KD, Jones DP, Kong SW. Association between Neuroligin-1 polymorphism and plasma glutamine levels in individuals with autism spectrum disorder. EBioMedicine 2023; 95:104746. [PMID: 37544204 PMCID: PMC10427990 DOI: 10.1016/j.ebiom.2023.104746] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Revised: 07/21/2023] [Accepted: 07/24/2023] [Indexed: 08/08/2023] Open
Abstract
BACKGROUND Unravelling the relationships between candidate genes and autism spectrum disorder (ASD) phenotypes remains an outstanding challenge. Endophenotypes, defined as inheritable, measurable quantitative traits, might provide intermediary links between genetic risk factors and multifaceted ASD phenotypes. In this study, we sought to determine whether plasma metabolite levels could serve as endophenotypes in individuals with ASD and their family members. METHODS We employed an untargeted, high-resolution metabolomics platform to analyse 14,342 features across 1099 plasma samples. These samples were collected from probands and their family members participating in the Autism Genetic Resource Exchange (AGRE) (N = 658), compared with neurotypical individuals enrolled in the PrecisionLink Health Discovery (PLHD) program at Boston Children's Hospital (N = 441). We conducted a metabolite quantitative trait loci (mQTL) analysis using whole-genome genotyping data from each cohort in AGRE and PLHD, aiming to prioritize significant mQTL and metabolite pairs that were exclusively observed in AGRE. FINDINGS Within the AGRE group, we identified 54 significant associations between genotypes and metabolite levels (P < 5.27 × 10-11), 44 of which were not observed in the PLHD group. Plasma glutamine levels were found to be associated with variants in the NLGN1 gene, a gene that encodes post-synaptic cell-adhesion molecules in excitatory neurons. This association was not detected in the PLHD group. Notably, a significant negative correlation between plasma glutamine and glutamate levels was observed in the AGRE group, but not in the PLHD group. Furthermore, plasma glutamine levels showed a negative correlation with the severity of restrictive and repetitive behaviours (RRB) in ASD, although no direct association was observed between RRB severity and the NLGN1 genotype. INTERPRETATION Our findings suggest that plasma glutamine levels could potentially serve as an endophenotype, thus establishing a link between the genetic risk associated with NLGN1 and the severity of RRB in ASD. This identified association could facilitate the development of novel therapeutic targets, assist in selecting specific cohorts for clinical trials, and provide insights into target symptoms for future ASD treatment strategies. FUNDING This work was supported by the National Institute of Health (grant numbers: R01MH107205, U01TR002623, R24OD024622, OT2OD032720, and R01NS129188) and the PrecisionLink Biobank for Health Discovery at Boston Children's Hospital.
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Affiliation(s)
- In-Hee Lee
- Computational Health Informatics Program, Boston Children's Hospital, Boston, MA, 02215, USA
| | - Douglas I Walker
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, 30322, USA
| | - Yufei Lin
- Computational Health Informatics Program, Boston Children's Hospital, Boston, MA, 02215, USA
| | - Matthew Ryan Smith
- Division of Pulmonary, Allergy, and Critical Care Medicine, Department of Medicine, Emory University, Atlanta, GA, 30602, USA; Atlanta Department of Veterans Affairs Medical Center, Decatur, GA, 30033, USA
| | - Kenneth D Mandl
- Computational Health Informatics Program, Boston Children's Hospital, Boston, MA, 02215, USA; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, 02115, USA; Department of Pediatrics, Harvard Medical School, Boston, MA, 02115, USA
| | - Dean P Jones
- Division of Pulmonary, Allergy, and Critical Care Medicine, Department of Medicine, Emory University, Atlanta, GA, 30602, USA
| | - Sek Won Kong
- Computational Health Informatics Program, Boston Children's Hospital, Boston, MA, 02215, USA; Department of Pediatrics, Harvard Medical School, Boston, MA, 02115, USA.
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Jarrell ZR, Liu KH, Dennis KK, Hu X, Martin GS, Jones DP, Go Y. Discovery of phytochelatins in human urine: Evidence for function in selenium disposition and protection against cadmium. FASEB Bioadv 2023; 5:367-375. [PMID: 37674541 PMCID: PMC10478506 DOI: 10.1096/fba.2023-00050] [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] [Received: 05/16/2023] [Revised: 07/24/2023] [Accepted: 08/02/2023] [Indexed: 09/08/2023] Open
Abstract
This report identifies, for the first time, a phytochelatin compound, phytochelatin 2 [γ-E-C-γ-E-C-G], and related metabolites in human urine. Phytochelatins are metal-binding peptides produced by plants. They are present in nearly all human diets, due to their ubiquity in plants. The urinary concentration of phytochelatin 2 among 143 adults was in the low micromolar range, and phytochelatin 2 and its metabolites had differential correlations with urinary selenium and toxic metals. Activities of ingested phytochelatins are largely undescribed. Observed urinary metal interactions were investigated further in cell and animal models. Selenite reacted with phytochelatin to form a phytochelatin selenotrisulfide, and the preformed selenotrisulfide showed increased selenium uptake by renal proximal tubule cells. In vivo studies further showed that oral phytochelatin increased renal selenium content and decreased lung cadmium in mice. Presence of phytochelatin in human urine combined with its function in selenium and heavy metal distribution present a new route by which diet may influence metal disposition and bioavailability.
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Affiliation(s)
- Zachery R. Jarrell
- Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, Department of MedicineEmory University School of MedicineAtlantaGeorgiaUSA
| | - Ken H. Liu
- Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, Department of MedicineEmory University School of MedicineAtlantaGeorgiaUSA
| | - Kristine K. Dennis
- Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, Department of MedicineEmory University School of MedicineAtlantaGeorgiaUSA
| | - Xin Hu
- Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, Department of MedicineEmory University School of MedicineAtlantaGeorgiaUSA
| | - Greg S. Martin
- Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, Department of MedicineEmory University School of MedicineAtlantaGeorgiaUSA
| | - Dean P. Jones
- Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, Department of MedicineEmory University School of MedicineAtlantaGeorgiaUSA
| | - Young‐Mi Go
- Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, Department of MedicineEmory University School of MedicineAtlantaGeorgiaUSA
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Peng Z, Zhang W, Zhang X, Mao J, Zhang Q, Zhao W, Zhang S, Xie J. Recent advances in analysis of capsaicin and its effects on metabolic pathways by mass spectrometry. Front Nutr 2023; 10:1227517. [PMID: 37575327 PMCID: PMC10419207 DOI: 10.3389/fnut.2023.1227517] [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] [Received: 05/23/2023] [Accepted: 07/12/2023] [Indexed: 08/15/2023] Open
Abstract
Capsaicin is the main food active component in Capsicum that has gained considerable attention due to its broad biological activities, including antioxidation, anti-inflammation, anti-tumor, weight regulation, cardiac protection, anti-calculi, and diurnal-circadian regulation. The potent biological effects of capsaicin are intimately related to metabolic pathways such as lipid metabolism, energy metabolism, and antioxidant stress. Mass spectrometry (MS) has emerged as an effective tool for deciphering the mechanisms underlying capsaicin metabolism and its biological impacts. However, it remains challenging to accurately identify and quantify capsaicin and its self-metabolites in complex food and biological samples, and to integrate multi-omics data generated from MS. In this work, we summarized recent advances in the detection of capsaicin and its self-metabolites using MS and discussed the relevant MS-based studies of metabolic pathways. Furthermore, we discussed current issues and future directions in this field. In-depth studies of capsaicin metabolism and its physiological functions based on MS is anticipated to yield new insights and methods for preventing and treating a wide range of diseases.
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Affiliation(s)
- Zifang Peng
- College of Chemistry, Zhengzhou University, Zhengzhou, Henan, China
| | - Wenfen Zhang
- College of Chemistry, Zhengzhou University, Zhengzhou, Henan, China
- Zhengzhou Tobacco Research Institute of CNTC, Zhengzhou, Henan, China
| | - Xu Zhang
- School of Ecology and Environment, Zhengzhou University, Zhengzhou, Henan, China
| | - Jian Mao
- Zhengzhou Tobacco Research Institute of CNTC, Zhengzhou, Henan, China
- Food Laboratory of Zhongyuan, Flavor Science Research Center of Zhengzhou University, Luohe, Henan, China
| | - Qidong Zhang
- Zhengzhou Tobacco Research Institute of CNTC, Zhengzhou, Henan, China
- Food Laboratory of Zhongyuan, Flavor Science Research Center of Zhengzhou University, Luohe, Henan, China
| | - Wuduo Zhao
- College of Chemistry, Zhengzhou University, Zhengzhou, Henan, China
| | - Shusheng Zhang
- College of Chemistry, Zhengzhou University, Zhengzhou, Henan, China
- Food Laboratory of Zhongyuan, Flavor Science Research Center of Zhengzhou University, Luohe, Henan, China
| | - Jianping Xie
- Zhengzhou Tobacco Research Institute of CNTC, Zhengzhou, Henan, China
- Food Laboratory of Zhongyuan, Flavor Science Research Center of Zhengzhou University, Luohe, Henan, China
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Fecke A, Saw NMMT, Kale D, Kasarla SS, Sickmann A, Phapale P. Quantitative Analytical and Computational Workflow for Large-Scale Targeted Plasma Metabolomics. Metabolites 2023; 13:844. [PMID: 37512551 PMCID: PMC10383057 DOI: 10.3390/metabo13070844] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Revised: 07/04/2023] [Accepted: 07/11/2023] [Indexed: 07/30/2023] Open
Abstract
Quantifying metabolites from various biological samples is necessary for the clinical and biomedical translation of metabolomics research. One of the ongoing challenges in biomedical metabolomics studies is the large-scale quantification of targeted metabolites, mainly due to the complexity of biological sample matrices. Furthermore, in LC-MS analysis, the response of compounds is influenced by their physicochemical properties, chromatographic conditions, eluent composition, sample preparation, type of MS ionization source, and analyzer used. To facilitate large-scale metabolite quantification, we evaluated the relative response factor (RRF) approach combined with an integrated analytical and computational workflow. This approach considers a compound's individual response in LC-MS analysis relative to that of a non-endogenous reference compound to correct matrix effects. We created a quantitative LC-MS library using the Skyline/Panorama web platform for data processing and public sharing of data. In this study, we developed and validated a metabolomics method for over 280 standard metabolites and quantified over 90 metabolites. The RRF quantification was validated and compared with conventional external calibration approaches as well as literature reports. The Skyline software environment was adapted for processing such metabolomics data, and the results are shared as a "quantitative chromatogram library" with the Panorama web application. This new workflow was found to be suitable for large-scale quantification of metabolites in human plasma samples. In conclusion, we report a novel quantitative chromatogram library with a targeted data analysis workflow for biomedical metabolomic applications.
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Affiliation(s)
- Antonia Fecke
- Leibniz-Institut für Analytische Wissenschaften-ISAS-e.V., Otto-Hahn-Str. 6b, 44227 Dortmund, Germany
- Department Hamm 2, Hochschule Hamm-Lippstadt, Marker-Allee 76-78, 59063 Hamm, Germany
| | - Nay Min Min Thaw Saw
- Leibniz-Institut für Analytische Wissenschaften-ISAS-e.V., Otto-Hahn-Str. 6b, 44227 Dortmund, Germany
| | - Dipali Kale
- Leibniz-Institut für Analytische Wissenschaften-ISAS-e.V., Otto-Hahn-Str. 6b, 44227 Dortmund, Germany
| | - Siva Swapna Kasarla
- Leibniz-Institut für Analytische Wissenschaften-ISAS-e.V., Otto-Hahn-Str. 6b, 44227 Dortmund, Germany
| | - Albert Sickmann
- Leibniz-Institut für Analytische Wissenschaften-ISAS-e.V., Otto-Hahn-Str. 6b, 44227 Dortmund, Germany
| | - Prasad Phapale
- Leibniz-Institut für Analytische Wissenschaften-ISAS-e.V., Otto-Hahn-Str. 6b, 44227 Dortmund, Germany
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Liang D, Walker DI. Invited Perspective: Application of Nontargeted Analysis in Characterizing the Maternal and Child Exposome. ENVIRONMENTAL HEALTH PERSPECTIVES 2023; 131:71303. [PMID: 37466316 DOI: 10.1289/ehp13042] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/20/2023]
Affiliation(s)
- Donghai Liang
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA
| | - Douglas I Walker
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA
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36
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Tomalka J, Sharma A, Smith AGC, Avaliani T, Gujabidze M, Bakuradze T, Sabanadze S, Jones DP, Avaliani Z, Kipiani M, Kempker RR, Collins JM. Combined cerebrospinal fluid metabolomic and cytokine profiling in tuberculosis meningitis reveals robust and prolonged changes in immunometabolic networks. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.06.26.23291676. [PMID: 37425849 PMCID: PMC10327257 DOI: 10.1101/2023.06.26.23291676] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/11/2023]
Abstract
Much of the high mortality in tuberculosis meningitis (TBM) is attributable to excessive inflammation, making it imperative to identify targets for host-directed therapies that reduce pathologic inflammation and mortality. In this study, we investigate how cytokines and metabolites in the cerebral spinal fluid (CSF) associate with TBM at diagnosis and during TBM treatment. At diagnosis, TBM patients demonstrate significant increases versus controls of cytokines and chemokines that promote inflammation and cell migration including IL-17A, IL-2, TNFα, IFNγ, and IL-1β. Inflammatory immune signaling was strongly correlated with immunomodulatory metabolites including kynurenine, lactic acid, carnitine, tryptophan, and itaconate. Inflammatory immunometabolic networks were only partially reversed with two months of effective TBM treatment and remained significantly different versus control CSF. Together, these data highlight a critical role for host metabolism in regulating the inflammatory response to TBM and indicate the timeline for restoration of immune homeostasis in the CSF is prolonged.
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Liao J, Goodrich J, Walker DI, Lin Y, Lurmann F, Qiu C, Jones DP, Gilliland F, Chazi L, Chen Z. Metabolic pathways altered by air pollutant exposure in association with lipid profiles in young adults. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2023; 327:121522. [PMID: 37019258 PMCID: PMC10243191 DOI: 10.1016/j.envpol.2023.121522] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Revised: 02/14/2023] [Accepted: 03/26/2023] [Indexed: 06/08/2023]
Abstract
Mounting evidence suggests that air pollution influences lipid metabolism and dyslipidemia. However, the metabolic mechanisms linking air pollutant exposure and altered lipid metabolism is not established. In year 2014-2018, we conducted a cross-sectional study on 136 young adults in southern California, and assessed lipid profiles (triglycerides, total cholesterol, high-density lipoprotein (HDL)-cholesterol, low-density lipoprotein (LDL)-cholesterol, very-low-density lipoprotein (VLDL)-cholesterol), and untargeted serum metabolomics using liquid chromatography-high-resolution mass spectrometry, and one-month and one-year averaged exposures to NO2, O3, PM2.5 and PM10 air pollutants at residential addresses. A metabolome-wide association analysis was conducted to identify metabolomic features associated with each air pollutant. Mummichog pathway enrichment analysis was used to assess altered metabolic pathways. Principal component analysis (PCA) was further conducted to summarize 35 metabolites with confirmed chemical identity. Lastly, linear regression models were used to analyze the associations of metabolomic PC scores with each air pollutant exposure and lipid profile outcome. In total, 9309 metabolomic features were extracted, with 3275 features significantly associated with exposure to one-month or one-year averaged NO2, O3, PM2.5 and PM10 (p < 0.05). Metabolic pathways associated with air pollutants included fatty acid, steroid hormone biosynthesis, tryptophan, and tyrosine metabolism. PCA of 35 metabolites identified three main PCs which together explained 44.4% of the variance, representing free fatty acids and oxidative byproducts, amino acids and organic acids. Linear regression indicated that the free fatty acids and oxidative byproducts-related PC score was associated with air pollutant exposure and outcomes of total cholesterol and LDL-cholesterol (p < 0.05). This study suggests that exposure to NO2, O3, PM2.5 and PM10 contributes to increased level of circulating free fatty acids, likely through increased adipose lipolysis, stress hormone and response to oxidative stress pathways. These alterations were associated with dysregulation of lipid profiles and potentially could contribute to dyslipidemia and other cardiometabolic disorders.
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Affiliation(s)
- Jiawen Liao
- Department of Population and Public Health Sciences, Keck School of Medicine of the University of Southern California, Los Angeles, CA, United States
| | - Jesse Goodrich
- Department of Population and Public Health Sciences, Keck School of Medicine of the University of Southern California, Los Angeles, CA, United States
| | - Douglas I Walker
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, United States
| | - Yan Lin
- Duke Global Health Institute, Duke University, Durham, NC, United States
| | - Fred Lurmann
- Sonoma Technology Inc., Petaluma, CA, United States
| | - Chenyu Qiu
- Department of Population and Public Health Sciences, Keck School of Medicine of the University of Southern California, Los Angeles, CA, United States
| | - Dean P Jones
- Department of Biochemistry, Emory University School of Medicine, Atlanta, GA, United States
| | - Frank Gilliland
- Department of Population and Public Health Sciences, Keck School of Medicine of the University of Southern California, Los Angeles, CA, United States
| | - Lida Chazi
- Department of Population and Public Health Sciences, Keck School of Medicine of the University of Southern California, Los Angeles, CA, United States
| | - Zhanghua Chen
- Department of Population and Public Health Sciences, Keck School of Medicine of the University of Southern California, Los Angeles, CA, United States.
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Eldridge RC, Qin ZS, Saba NF, Houser MC, Hayes DN, Miller AH, Bruner DW, Jones DP, Xiao C. Unsupervised Hierarchical Clustering of Head and Neck Cancer Patients by Pre-Treatment Plasma Metabolomics Creates Prognostic Metabolic Subtypes. Cancers (Basel) 2023; 15:3184. [PMID: 37370794 PMCID: PMC10296258 DOI: 10.3390/cancers15123184] [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] [Received: 02/28/2023] [Revised: 06/07/2023] [Accepted: 06/09/2023] [Indexed: 06/29/2023] Open
Abstract
There is growing evidence that the metabolism is deeply intertwined with head and neck squamous cell carcinoma (HNSCC) progression and survival but little is known about circulating metabolite patterns and their clinical potential. We performed unsupervised hierarchical clustering of 209 HNSCC patients via pre-treatment plasma metabolomics to identify metabolic subtypes. We annotated the subtypes via pathway enrichment analysis and investigated their association with overall and progression-free survival. We stratified the survival analyses by smoking history. High-resolution metabolomics extracted 186 laboratory-confirmed metabolites. The optimal model created two patient clusters, of subtypes A and B, corresponding to 41% and 59% of the study population, respectively. Fatty acid biosynthesis, acetyl-CoA transport, arginine and proline, as well as the galactose metabolism pathways differentiated the subtypes. Relative to subtype B, subtype A patients experienced significantly worse overall and progression-free survival but only among ever-smokers. The estimated three-year overall survival was 61% for subtype A and 86% for subtype B; log-rank p = 0.001. The association with survival was independent of HPV status and other HNSCC risk factors (adjusted hazard ratio = 3.58, 95% CI: 1.46, 8.78). Our findings suggest that a non-invasive metabolomic biomarker would add crucial information to clinical risk stratification and raise translational research questions about testing such a biomarker in clinical trials.
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Affiliation(s)
- Ronald C. Eldridge
- Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, GA 30322, USA; (M.C.H.); (D.W.B.); (C.X.)
| | - Zhaohui S. Qin
- Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA;
| | - Nabil F. Saba
- Winship Cancer Institute, Emory University, Atlanta, GA 30322, USA;
| | - Madelyn C. Houser
- Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, GA 30322, USA; (M.C.H.); (D.W.B.); (C.X.)
| | - D. Neil Hayes
- Department of Medicine, UT/West Institute for Cancer Research, University of Tennessee Health Science Center, Memphis, TN 38163, USA;
| | - Andrew H. Miller
- Department of Psychiatry and Behavioral Sciences, School of Medicine, Emory University, Atlanta, GA 30322, USA;
| | - Deborah W. Bruner
- Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, GA 30322, USA; (M.C.H.); (D.W.B.); (C.X.)
| | - Dean P. Jones
- Division of Pulmonary, Allergy and Critical Care Medicine, Emory University, Atlanta, GA 30322, USA;
| | - Canhua Xiao
- Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, GA 30322, USA; (M.C.H.); (D.W.B.); (C.X.)
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Welsh JA, Pyo E, Huneault H, Gonzalez Ramirez L, Alazraki A, Alli R, Dunbar SB, Khanna G, Knight-Scott J, Pimentel A, Reed B, Rodney-Somersall C, Santoro N, Umpierrez G, Vos MB. Study protocol for a randomized, controlled trial using a novel, family-centered diet treatment to prevent nonalcoholic fatty liver disease in Hispanic children. Contemp Clin Trials 2023; 129:107170. [PMID: 37019180 PMCID: PMC10734403 DOI: 10.1016/j.cct.2023.107170] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Revised: 03/20/2023] [Accepted: 03/25/2023] [Indexed: 04/05/2023]
Abstract
BACKGROUND Non-alcoholic fatty liver disease (NAFLD) is the leading liver disorder among U.S. children and is most prevalent among Hispanic children with obesity. Previous research has shown that reducing the consumption of free sugars (added sugars + naturally occurring sugars in fruit juice) can reverse liver steatosis in adolescents with NAFLD. This study aims to determine if a low-free sugar diet (LFSD) can prevent liver fat accumulation and NAFLD in high-risk children. METHODS In this randomized controlled trial, we will enroll 140 Hispanic children aged 6 to 9 years who are ≥50th percentile BMI and without a previous diagnosis of NAFLD. Participants will be randomly assigned to either an experimental (LFSD) or a control (usual diet + educational materials) group. The one-year intervention includes removal of foods high in free sugars from the home at baseline, provision of LFSD household groceries for the entire family (weeks 1-4, 12, 24, and 36), dietitian-guided family grocery shopping sessions (weeks 12, 24, and 36), and ongoing education and motivational interviewing to promote LFSD. Both groups complete assessment measures at baseline, 6, 12, 18, and 24 months. Primary study outcomes are percent hepatic fat at 12 months and incidence of clinically significant hepatic steatosis (>5%) + elevated liver enzymes at 24 months. Secondary outcomes include metabolic markers potentially mediating or moderating NAFLD pathogenesis. DISCUSSION This protocol describes the rationale, eligibility criteria, recruitment strategies, analysis plan as well as a novel dietary intervention design. Study results will inform future dietary guidelines for pediatric NAFLD prevention. TRIAL REGISTRATION ClinicalTrials.gov, NCT05292352.
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Affiliation(s)
- J A Welsh
- Department of Pediatrics, Emory University School of Medicine, Atlanta, GA, United States; Nutrition and Health Sciences Program, Laney Graduate School, Emory University, Atlanta, GA, United States
| | - E Pyo
- Nutrition and Health Sciences Program, Laney Graduate School, Emory University, Atlanta, GA, United States
| | - H Huneault
- Nutrition and Health Sciences Program, Laney Graduate School, Emory University, Atlanta, GA, United States
| | - L Gonzalez Ramirez
- Nutrition and Health Sciences Program, Laney Graduate School, Emory University, Atlanta, GA, United States
| | - A Alazraki
- Department of Radiology, Emory University School of Medicine, Atlanta, GA, United States; Department of Radiology, Children's Healthcare of Atlanta, Atlanta, GA, United States
| | - R Alli
- Children's Healthcare of Atlanta, Atlanta, GA, United States
| | - S B Dunbar
- Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, GA, United States
| | - G Khanna
- Department of Radiology, Emory University School of Medicine, Atlanta, GA, United States; Department of Radiology, Children's Healthcare of Atlanta, Atlanta, GA, United States
| | - Jack Knight-Scott
- Department of Radiology, Children's Healthcare of Atlanta, Atlanta, GA, United States
| | - A Pimentel
- Department of Pediatrics, Emory University School of Medicine, Atlanta, GA, United States; Grady Memorial Hospital, Atlanta, GA, United States
| | - B Reed
- Department of Pediatrics, Emory University School of Medicine, Atlanta, GA, United States; Children's Healthcare of Atlanta, Atlanta, GA, United States
| | - C Rodney-Somersall
- Department of Pediatrics, Emory University School of Medicine, Atlanta, GA, United States; Grady Memorial Hospital, Atlanta, GA, United States
| | - N Santoro
- Department of Pediatrics, Kansas Medical Center, Kansas City, KS, United States; Department of Medicine and Health Sciences, "V.Tiberio" University of Molise, Campobasso, Italy; Department of Pediatrics, Yale University School of Medicine, New Haven, CT, United States
| | - G Umpierrez
- Grady Memorial Hospital, Atlanta, GA, United States; Division of Endocrinology, Metabolism, Emory University School of Medicine, Atlanta, GA, United States
| | - M B Vos
- Department of Pediatrics, Emory University School of Medicine, Atlanta, GA, United States; Nutrition and Health Sciences Program, Laney Graduate School, Emory University, Atlanta, GA, United States; Children's Healthcare of Atlanta, Atlanta, GA, United States.
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40
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Taibl KR, Liang D, Dunlop AL, Barr DB, Smith MR, Steenland K, Tan Y, Ryan PB, Panuwet P, Everson T, Marsit CJ, Kannan K, Jones DP, Eick SM. Pregnancy-related hemodynamic biomarkers in relation to trimester-specific maternal per - and polyfluoroalkyl substances exposures and adverse birth outcomes. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2023; 323:121331. [PMID: 36813097 PMCID: PMC10023492 DOI: 10.1016/j.envpol.2023.121331] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Revised: 02/17/2023] [Accepted: 02/20/2023] [Indexed: 06/18/2023]
Abstract
The fate of environmental chemicals in maternal and fetal tissues might be affected by pregnancy-related hemodynamic changes that occur across gestation. Specifically, hemodilution and renal function are hypothesized to confound associations between per- and polyfluoroalkyl substances (PFAS) exposure measures in late pregnancy with gestational length and fetal growth. We sought to analyze two pregnancy-related hemodynamic biomarkers, creatinine and estimated glomerular filtration rate (eGFR), as confounders of the trimester-specific relationships between maternal serum PFAS concentrations and adverse birth outcomes. Participants were enrolled in the Atlanta African American Maternal-Child Cohort between 2014 and 2020. Biospecimens were collected at up to two timepoints, which were categorized into the 1st trimester (N = 278; 11 mean weeks gestation), 2nd trimester (N = 162; 24 mean weeks gestation), and 3rd trimester (N = 110; 29 mean weeks gestation). We quantified six PFAS in serum, creatinine in serum and urine, and eGFR using the Cockroft-Gault equation. Multivariable regression models estimated the associations between single PFAS and their sum with gestational age at delivery (weeks), preterm birth (PTB, <37 gestational weeks), birthweight z-scores, and small for gestational age (SGA). Primary models were adjusted for sociodemographics. We additionally adjusted for serum creatinine, urinary creatinine, or eGFR in the confounding assessments. An interquartile range increase in perfluorooctanoic acid (PFOA) produced a non-significant reduction in birthweight z-score during the 1st and 2nd trimesters (β = -0.01 g [95% CI = -0.14, 0.12] and β = -0.07 g [95% CI = -0.19, 0.06], respectively) whereas the relationship was significant and positive during the 3rd trimester (β = 0.15 g; 95% CI = 0.01, 0.29). Trimester-specific effects were similar for the other PFAS and adverse birth outcomes, which persisted after adjusting for creatinine or eGFR. The relationships between prenatal PFAS exposure and adverse birth outcomes were not strongly confounded by renal function or hemodilution. However, 3rd trimester samples consistently exhibited different effects than those collected during the 1st and 2nd trimesters.
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Affiliation(s)
- Kaitlin R Taibl
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Donghai Liang
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Anne L Dunlop
- Department of Gynecology and Obstetrics, School of Medicine, Emory University, Atlanta, GA, USA
| | - Dana Boyd Barr
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - M Ryan Smith
- Division of Pulmonary, Allergy, and Critical Care Medicine, Department of Medicine, School of Medicine, Emory University, Atlanta, GA, USA
| | - Kyle Steenland
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Youran Tan
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - P Barry Ryan
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Parinya Panuwet
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Todd Everson
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Carmen J Marsit
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Kurunthachalam Kannan
- Department of Pediatrics, New York University School of Medicine, New York, NY, USA; Department of Environmental Medicine, New York University School of Medicine, New York, NY, USA
| | - Dean P Jones
- Division of Pulmonary, Allergy, and Critical Care Medicine, Department of Medicine, School of Medicine, Emory University, Atlanta, GA, USA
| | - Stephanie M Eick
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA.
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Hwang H, Liu R, Eldridge R, Hu X, Forghani P, Jones DP, Xu C. Chronic ethanol exposure induces mitochondrial dysfunction and alters gene expression and metabolism in human cardiac spheroids. ALCOHOL, CLINICAL & EXPERIMENTAL RESEARCH 2023; 47:643-658. [PMID: 36799338 PMCID: PMC10149610 DOI: 10.1111/acer.15026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Revised: 01/26/2023] [Accepted: 01/30/2023] [Indexed: 02/18/2023]
Abstract
BACKGROUND Chronic alcohol consumption in adults can induce various cardiac toxicities such as arrhythmias, cardiomyopathy, and heart failure. Prenatal alcohol exposure can increase the risk of developing congenital heart defects among offspring. Understanding the molecular mechanisms underlying long-term alcohol exposure-induced cardiotoxicity can help guide the development of therapeutic strategies. METHODS Cardiomyocytes derived from human-induced pluripotent stem cells (hiPSC-CMs) were engineered into cardiac spheroids and treated with clinically relevant concentrations of ethanol (17 and 50 mM) for 5 weeks. The cells were then analyzed for changes in mitochondrial features, transcriptomic and metabolomic profiles, and integrated omics outcomes. RESULTS Following chronic ethanol treatment of hiPSC-CMs, a decrease in mitochondrial membrane potential and respiration and changes in expression of mitochondrial function-related genes were observed. RNA-sequencing analysis revealed changes in various metabolic processes, heart development, response to hypoxia, and extracellular matrix-related activities. Metabolomic analysis revealed dysregulation of energy metabolism and increased metabolites associated with the upregulation of inflammation. Integrated omics analysis further identified functional subclusters and revealed potentially affected pathways associated with cardiac toxicities. CONCLUSION Chronic ethanol treatment of hiPSC-CMs resulted in overall decreased mitochondrial function, increased glycolysis, disrupted fatty acid oxidation, and impaired cardiac structural development.
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Affiliation(s)
- Hyun Hwang
- Department of Pediatrics, Emory University School of Medicine and Children’s Healthcare of Atlanta, Atlanta, GA 30322, USA
| | - Rui Liu
- Department of Pediatrics, Emory University School of Medicine and Children’s Healthcare of Atlanta, Atlanta, GA 30322, USA
| | - Ronald Eldridge
- Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, GA 30322, USA
| | - Xin Hu
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, Emory University, Atlanta, GA 30322, USA
| | - Parvin Forghani
- Department of Pediatrics, Emory University School of Medicine and Children’s Healthcare of Atlanta, Atlanta, GA 30322, USA
| | - Dean P. Jones
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, Emory University, Atlanta, GA 30322, USA
| | - Chunhui Xu
- Department of Pediatrics, Emory University School of Medicine and Children’s Healthcare of Atlanta, Atlanta, GA 30322, USA
- Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA 30322, USA
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Wu H, Kalia V, Niedzwiecki MM, Kioumourtzoglou MA, Pierce B, Ilievski V, Goldsmith J, Jones DP, Navas-Acien A, Walker DI, Gamble MV. Metabolomic changes associated with chronic arsenic exposure in a Bangladeshi population. CHEMOSPHERE 2023; 320:137998. [PMID: 36746250 PMCID: PMC9993428 DOI: 10.1016/j.chemosphere.2023.137998] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Revised: 01/10/2023] [Accepted: 01/27/2023] [Indexed: 06/18/2023]
Abstract
Chronic exposure to arsenic (As) remains a global public health concern and our understanding of the biological mechanisms underlying the adverse effects of As exposure remains incomplete. Here, we used a high-resolution metabolomics approach to examine how As affects metabolic pathways in humans. We selected 60 non-smoking adults from the Folic Acid and Creatine Trial (FACT). Inorganic (AsIII, AsV) and organic (monomethylarsonous acid [MMAs], dimethylarsinous Acid [DMAs]) As species were measured in blood and urine collected at baseline and at 12 weeks. Plasma metabolome profiles were measured using untargeted high-resolution mass spectrometry. Associations of blood and urinary As with 170 confirmed metabolites and >26,000 untargeted spectral features were modeled using a metabolome-wide association study (MWAS) approach. Models were adjusted for age, sex, visit, and BMI and corrected for false discovery rate (FDR). In the MWAS screening of confirmed metabolites, 17 were associated with ≥1 blood As species (FDR<0.05), including fatty acids, neurotransmitter metabolites, and amino acids. These results were consistent across blood As species and between blood and urine As. Untargeted MWAS identified 423 spectral features associated with ≥1 blood As species. Unlike the confirmed metabolites, untargeted model results were not consistent across As species, with AsV and DMAs showing distinct association patterns. Mummichog pathway analysis revealed 12 enriched metabolic pathways that overlapped with the 17 identified metabolites, including one carbon metabolism, tricarboxylic acid cycle, fatty acid metabolism, and purine metabolism. Exposure to As may affect numerous essential pathways that underlie the well-characterized associations of As with multiple chronic diseases.
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Affiliation(s)
- Haotian Wu
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Vrinda Kalia
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Megan M Niedzwiecki
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | | | - Brandon Pierce
- Department of Public Health Sciences, University of Chicago, Chicago, IL, USA; Department of Human Genetics, University of Chicago, Chicago, IL, USA; Comprehensive Cancer Center, University of Chicago, Chicago, IL, USA
| | - Vesna Ilievski
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Jeff Goldsmith
- Department of Biostatistics, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Dean P Jones
- Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, Department of Medicine, Emory University School of Medicine, Atlanta, USA; Department of Biochemistry, Emory University School of Medicine, Atlanta, USA
| | - Ana Navas-Acien
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Douglas I Walker
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA.
| | - Mary V Gamble
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA.
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Cohen CC, Huneault H, Accardi CJ, Jones DP, Liu K, Maner-Smith KM, Song M, Welsh JA, Ugalde-Nicalo PA, Schwimmer JB, Vos MB. Metabolome × Microbiome Changes Associated with a Diet-Induced Reduction in Hepatic Fat among Adolescent Boys. Metabolites 2023; 13:401. [PMID: 36984841 PMCID: PMC10053986 DOI: 10.3390/metabo13030401] [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] [Received: 02/07/2023] [Revised: 03/02/2023] [Accepted: 03/04/2023] [Indexed: 03/30/2023] Open
Abstract
Dietary sugar reduction is one therapeutic strategy for improving nonalcoholic fatty liver disease (NAFLD), and the underlying mechanisms for this effect warrant further investigation. Here, we employed metabolomics and metagenomics to examine systemic biological adaptations associated with dietary sugar restriction and (subsequent) hepatic fat reductions in youth with NAFLD. Data/samples were from a randomized controlled trial in adolescent boys (11-16 years, mean ± SD: 13.0 ± 1.9 years) with biopsy-proven NAFLD who were either provided a low free-sugar diet (LFSD) (n = 20) or consumed their usual diet (n = 20) for 8 weeks. Plasma metabolomics was performed on samples from all 40 participants by coupling hydrophilic interaction liquid chromatography (HILIC) and C18 chromatography with mass spectrometry. In a sub-sample (n = 8 LFSD group and n = 10 usual diet group), 16S ribosomal RNA (rRNA) sequencing was performed on stool to examine changes in microbial composition/diversity. The diet treatment was associated with differential expression of 419 HILIC and 205 C18 metabolite features (p < 0.05), which were enriched in amino acid pathways, including methionine/cysteine and serine/glycine/alanine metabolism (p < 0.05), and lipid pathways, including omega-3 and linoleate metabolism (p < 0.05). Quantified metabolites that were differentially changed in the LFSD group, compared to usual diet group, and representative of these enriched metabolic pathways included increased serine (p = 0.001), glycine (p = 0.004), 2-aminobutyric acid (p = 0.012), and 3-hydroxybutyric acid (p = 0.005), and decreased linolenic acid (p = 0.006). Microbiome changes included an increase in richness at the phylum level and changes in a few genera within Firmicutes. In conclusion, the LFSD treatment, compared to usual diet, was associated with metabolome and microbiome changes that may reflect biological mechanisms linking dietary sugar restriction to a therapeutic decrease in hepatic fat. Studies are needed to validate our findings and test the utility of these "omics" changes as response biomarkers.
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Affiliation(s)
- Catherine C. Cohen
- Department of Pediatrics, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Helaina Huneault
- Nutrition & Health Sciences Doctoral Program, Laney Graduate School, Emory University, Atlanta, GA 30322, USA
| | - Carolyn J. Accardi
- Department of Medicine, School of Medicine, Emory University, Atlanta, GA 30322, USA
| | - Dean P. Jones
- Department of Medicine, School of Medicine, Emory University, Atlanta, GA 30322, USA
| | - Ken Liu
- Department of Medicine, School of Medicine, Emory University, Atlanta, GA 30322, USA
| | - Kristal M. Maner-Smith
- Emory Integrated Lipidomics Core, School of Medicine, Emory University, Atlanta, GA 30322, USA
| | - Ming Song
- Department of Medicine, University of Louisville School of Medicine, Louisville, KY 40202, USA
- Hepatobiology and Toxicology Center, University of Louisville School of Medicine, Louisville, KY 40202, USA
| | - Jean A. Welsh
- Nutrition & Health Sciences Doctoral Program, Laney Graduate School, Emory University, Atlanta, GA 30322, USA
- Department of Pediatrics, School of Medicine, Emory University, Atlanta, GA 30322, USA
- Children’s Healthcare of Atlanta, Atlanta, GA 30322, USA
| | - Patricia A. Ugalde-Nicalo
- Department of Gastroenterology, Rady Children’s Hospital San Diego, San Diego, CA 92123, USA
- Department of Pediatrics, School of Medicine, University of California, San Diego, CA 92093, USA
| | - Jeffrey B. Schwimmer
- Department of Gastroenterology, Rady Children’s Hospital San Diego, San Diego, CA 92123, USA
- Department of Pediatrics, School of Medicine, University of California, San Diego, CA 92093, USA
| | - Miriam B. Vos
- Nutrition & Health Sciences Doctoral Program, Laney Graduate School, Emory University, Atlanta, GA 30322, USA
- Department of Pediatrics, School of Medicine, Emory University, Atlanta, GA 30322, USA
- Children’s Healthcare of Atlanta, Atlanta, GA 30322, USA
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Untargeted, High-Resolution Metabolomics in Pediatric Eosinophilic Esophagitis. J Pediatr Gastroenterol Nutr 2023; 76:355-363. [PMID: 36728821 DOI: 10.1097/mpg.0000000000003693] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
BACKGROUND/OBJECTIVES Eosinophilic esophagitis (EoE) is an inflammatory disease of unclear etiology. The aim of this study was to use untargeted plasma metabolomics to identify metabolic pathway alterations associated with EoE to better understand the pathophysiology. METHODS This prospective, case-control study included 72 children, aged 1-17 years, undergoing clinically indicated upper endoscopy (14 diagnosed with EoE and 58 controls). Fasting plasma samples were analyzed for metabolomics by high-resolution dual-chromatography mass spectrometry. Analysis was performed on sex-matched groups at a 2:1 ratio. Significant differences among the plasma metabolite features between children with and without EoE were determined using multivariate regression analysis and were annotated with a network-based algorithm. Subsequent pathway enrichment analysis was performed. RESULTS Patients with EoE had a higher proportion of atopic disease (85.7% vs 50%, P = 0.019) and any allergies (100% vs 57.1%, P = 0.0005). Analysis of the dual chromatography features resulted in a total of 918 metabolites that differentiated EoE and controls. Glycerophospholipid metabolism was significantly enriched with the greatest number of differentiating metabolites and overall pathway enrichment ( P < 0.01). Multiple amino and fatty acid pathways including linoleic acid were also enriched, as well as pyridoxine metabolism ( P < 0.01). CONCLUSIONS In this pilot study, we found differences in metabolites involved in glycerophospholipid and inflammation pathways in pediatric patients with EoE using untargeted metabolomics, as well as overlap with amino acid metabolome alterations found in atopic disease.
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Saliba M, Drapeau N, Skime M, Hu X, Accardi CJ, Athreya AP, Kolacz J, Shekunov J, Jones DP, Croarkin PE, Romanowicz M. PISTACHIo (PreemptIon of diSrupTive behAvior in CHIldren): real-time monitoring of sleep and behavior of children 3-7 years old receiving parent-child interaction therapy augment with artificial intelligence - the study protocol, pilot study. Pilot Feasibility Stud 2023; 9:23. [PMID: 36759915 PMCID: PMC9909978 DOI: 10.1186/s40814-023-01254-w] [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: 06/14/2022] [Accepted: 01/28/2023] [Indexed: 02/11/2023] Open
Abstract
BACKGROUND Emotional behavior problems (EBP) are the most common and persistent mental health issues in early childhood. Early intervention programs are crucial in helping children with EBP. Parent-child interaction therapy (PCIT) is an evidence-based therapy designed to address personal difficulties of parent-child dyads as well as reduce externalizing behaviors. In clinical practice, parents consistently struggle to provide accurate characterizations of EBP symptoms (number, timing of tantrums, precipitating events) even from the week before in their young children. The main aim of the study is to evaluate feasibility of the use of smartwatches in children aged 3-7 years with EBP. METHODS This randomized double-blind controlled study aims to recruit a total of 100 participants, consisting of 50 children aged 3-7 years with an EBP measure rated above the clinically significant range (T-score ≥ 60) (Eyberg Child Behavior Inventory-ECBI; Eyberg & Pincus, 1999) and their parents who are at least 18 years old. Participants are randomly assigned to the artificial intelligence-PCIT group (AI-PCIT) or the PCIT-sham biometric group. Outcome parameters include weekly ECBI and Pediatric Sleep Questionnaire (PSQ) as well as Child Behavior Checklist (CBCL) obtained weeks 1, 6, and 12 of the study. Two smartphone applications (Garmin connect and mEMA) and a wearable Garmin smartwatch are used collect the data to monitor step count, sleep, heart rate, and activity intensity. In the AI-PCIT group, the mEMA application will allow for the ecological momentary assessment (EMA) and will send behavioral alerts to the parent. DISCUSSION Real-time predictive technologies to engage patients rely on daily commitment on behalf of the participant and recurrent frequent smartphone notifications. Ecological momentary assessment (EMA) provides a way to digitally phenotype in-the-moment behavior and functioning of the parent-child dyad. One of the study's goals is to determine if AI-PCIT outcomes are superior in comparison with standard PCIT. Overall, we believe that the PISTACHIo study will also be able to determine tolerability of smartwatches in children aged 3-7 with EBP and could participate in a fundamental shift from the traditional way of assessing and treating EBP to a more individualized treatment plan based on real-time information about the child's behavior. TRIAL REGISTRATION The ongoing clinical trial study protocol conforms to the international Consolidated Standards of Reporting Trials (CONSORT) guidelines and is registered in clinicaltrials.gov (ID: NCT05077722), an international clinical trial registry.
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Affiliation(s)
- Maria Saliba
- grid.66875.3a0000 0004 0459 167XDepartment of Psychiatry and Psychology, Mayo Clinic, Rochester, MN 55905 USA
| | - Noelle Drapeau
- grid.66875.3a0000 0004 0459 167XDepartment of Pediatrics, Mayo Clinic, Rochester, MN 55905 USA
| | - Michelle Skime
- grid.66875.3a0000 0004 0459 167XDepartment of Psychiatry and Psychology, Mayo Clinic, Rochester, MN 55905 USA
| | - Xin Hu
- grid.189967.80000 0001 0941 6502Clinical Biomarkers Laboratory, Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, Department of Medicine, Emory University, Atlanta, GA 30322 USA
| | - Carolyn Jonas Accardi
- grid.189967.80000 0001 0941 6502Clinical Biomarkers Laboratory, Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, Department of Medicine, Emory University, Atlanta, GA 30322 USA
| | - Arjun P. Athreya
- grid.66875.3a0000 0004 0459 167XDepartment of Psychiatry and Psychology, Mayo Clinic, Rochester, MN 55905 USA ,grid.66875.3a0000 0004 0459 167XDepartment of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, MN 55905 USA
| | - Jacek Kolacz
- grid.412332.50000 0001 1545 0811Department of Psychiatry and Behavioral Health, The Ohio State University Wexner Medical Center, Columbus, OH 43210 USA
| | - Julia Shekunov
- grid.66875.3a0000 0004 0459 167XDepartment of Psychiatry and Psychology, Mayo Clinic, Rochester, MN 55905 USA
| | - Dean P. Jones
- grid.189967.80000 0001 0941 6502Clinical Biomarkers Laboratory, Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, Department of Medicine, Emory University, Atlanta, GA 30322 USA
| | - Paul E. Croarkin
- grid.66875.3a0000 0004 0459 167XDepartment of Psychiatry and Psychology, Mayo Clinic, Rochester, MN 55905 USA
| | - Magdalena Romanowicz
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, 55905, USA.
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Smith MR, Hu X, Jarrell ZR, He X, Orr M, Fernandes J, Chandler JD, Walker DI, Esper A, Marts L, Neujahr DC, Jones DP, Go YM. Study on the Relationship between Selenium and Cadmium in Diseased Human Lungs. ADVANCES IN REDOX RESEARCH 2023; 7. [PMID: 37034445 PMCID: PMC10078579 DOI: 10.1016/j.arres.2023.100065] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/19/2023]
Abstract
Cadmium (Cd) is a toxic environmental metal that interacts with selenium (Se) and contributes to many lung diseases. Humans have widespread exposures to Cd through diet and cigarette smoking, and studies in rodent models show that Se can protect against Cd toxicities. We sought to identify whether an antagonistic relationship existed between Se and Cd burdens and determine whether this relationship may associate with metabolic variation within human lungs. We performed metabolomics of 31 human lungs, including 25 with end-stage lung disease due to idiopathic pulmonary fibrosis, cystic fibrosis, chronic obstructive lung disease (COPD)/emphysema and other causes, and 6 non-diseased lungs. Results showed pathway associations with Cd including amino acid, lipid and energy-related pathways. Metabolic pathways varying with Se had considerable overlap with these pathways. Hierarchical cluster analysis (HCA) of individuals according to metabolites associated with Cd showed partial separation of disease types, with COPD/emphysema in the cluster with highest Cd, and non-diseased lungs in the cluster with the lowest Cd. When compared to HCA of metabolites associated with Se, the results showed that the cluster containing COPD/emphysema had the lowest Se, and the non-diseased lungs had the highest Se. A greater number of pathway associations occurred for Cd to Se ratio than either Cd or Se alone, indicating that metabolic patterns were more dependent on Cd to Se ratio than on either alone. Network analysis of interactions of Cd and Se showed network centrality was associated with pathways linked to polyunsaturated fatty acids involved in inflammatory signaling. Overall, the data show that metabolic pathway responses in human lung vary with Cd and Se in a pattern suggesting that Se is antagonistic to Cd toxicity in humans.
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Affiliation(s)
- Matthew Ryan Smith
- Division of Pulmonary, Allergy, Critical Care, and Sleep Medicine, Department of Medicine, School of Medicine at Emory University, Atlanta, GA, USA
- Atlanta Department of Veterans Affairs Medical Center, Decatur, GA, USA
| | - Xin Hu
- Division of Pulmonary, Allergy, Critical Care, and Sleep Medicine, Department of Medicine, School of Medicine at Emory University, Atlanta, GA, USA
| | - Zachery R Jarrell
- Division of Pulmonary, Allergy, Critical Care, and Sleep Medicine, Department of Medicine, School of Medicine at Emory University, Atlanta, GA, USA
| | - Xiaojia He
- Division of Pulmonary, Allergy, Critical Care, and Sleep Medicine, Department of Medicine, School of Medicine at Emory University, Atlanta, GA, USA
| | - Michael Orr
- Division of Pulmonary, Allergy, Critical Care, and Sleep Medicine, Department of Medicine, School of Medicine at Emory University, Atlanta, GA, USA
| | - Jolyn Fernandes
- Division of Pulmonary, Allergy, Critical Care, and Sleep Medicine, Department of Medicine, School of Medicine at Emory University, Atlanta, GA, USA
- Department of Pediatrics, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Joshua D. Chandler
- Division of Pulmonary, Allergy, Critical Care, and Sleep Medicine, Department of Medicine, School of Medicine at Emory University, Atlanta, GA, USA
- Department of Pediatrics, School of Medicine at Emory University, Atlanta, GA, USA
| | - Douglas I. Walker
- Division of Pulmonary, Allergy, Critical Care, and Sleep Medicine, Department of Medicine, School of Medicine at Emory University, Atlanta, GA, USA
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Annette Esper
- Division of Pulmonary, Allergy, Critical Care, and Sleep Medicine, Department of Medicine, School of Medicine at Emory University, Atlanta, GA, USA
| | - Lucian Marts
- Division of Pulmonary, Allergy, Critical Care, and Sleep Medicine, Department of Medicine, School of Medicine at Emory University, Atlanta, GA, USA
| | - David C. Neujahr
- Division of Pulmonary, Allergy, Critical Care, and Sleep Medicine, Department of Medicine, School of Medicine at Emory University, Atlanta, GA, USA
| | - Dean P. Jones
- Division of Pulmonary, Allergy, Critical Care, and Sleep Medicine, Department of Medicine, School of Medicine at Emory University, Atlanta, GA, USA
- Corresponding authors at: Whitehead Biomedical Research Building, 615 Michael St, Room 225, Atlanta, GA, 30322, USA. (D.P. Jones), (Y.-M. Go)
| | - Young-Mi Go
- Division of Pulmonary, Allergy, Critical Care, and Sleep Medicine, Department of Medicine, School of Medicine at Emory University, Atlanta, GA, USA
- Corresponding authors at: Whitehead Biomedical Research Building, 615 Michael St, Room 225, Atlanta, GA, 30322, USA. (D.P. Jones), (Y.-M. Go)
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Goodrich JA, Walker DI, He J, Lin X, Baumert BO, Hu X, Alderete TL, Chen Z, Valvi D, Fuentes ZC, Rock S, Wang H, Berhane K, Gilliland FD, Goran MI, Jones DP, Conti DV, Chatzi L. Metabolic Signatures of Youth Exposure to Mixtures of Per- and Polyfluoroalkyl Substances: A Multi-Cohort Study. ENVIRONMENTAL HEALTH PERSPECTIVES 2023; 131:27005. [PMID: 36821578 PMCID: PMC9945578 DOI: 10.1289/ehp11372] [Citation(s) in RCA: 24] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Revised: 12/12/2022] [Accepted: 01/09/2023] [Indexed: 05/08/2023]
Abstract
BACKGROUND Exposure to per- and polyfluoroalkyl substances (PFAS) is ubiquitous and has been associated with an increased risk of several cardiometabolic diseases. However, the metabolic pathways linking PFAS exposure and human disease are unclear. OBJECTIVE We examined associations of PFAS mixtures with alterations in metabolic pathways in independent cohorts of adolescents and young adults. METHODS Three hundred twelve overweight/obese adolescents from the Study of Latino Adolescents at Risk (SOLAR) and 137 young adults from the Southern California Children's Health Study (CHS) were included in the analysis. Plasma PFAS and the metabolome were determined using liquid-chromatography/high-resolution mass spectrometry. A metabolome-wide association study was performed on log-transformed metabolites using Bayesian regression with a g-prior specification and g-computation for modeling exposure mixtures to estimate the impact of exposure to a mixture of six ubiquitous PFAS (PFOS, PFHxS, PFHpS, PFOA, PFNA, and PFDA). Pathway enrichment analysis was performed using Mummichog and Gene Set Enrichment Analysis. Significance across cohorts was determined using weighted Z -tests. RESULTS In the SOLAR and CHS cohorts, PFAS exposure was associated with alterations in tyrosine metabolism (meta-analysis p = 0.00002 ) and de novo fatty acid biosynthesis (p = 0.03 ), among others. For example, when increasing all PFAS in the mixture from low (∼ 30 th percentile) to high (∼ 70 th percentile), thyroxine (T4), a thyroid hormone related to tyrosine metabolism, increased by 0.72 standard deviations (SDs; equivalent to a standardized mean difference) in the SOLAR cohort (95% Bayesian credible interval (BCI): 0.00, 1.20) and 1.60 SD in the CHS cohort (95% BCI: 0.39, 2.80). Similarly, when going from low to high PFAS exposure, arachidonic acid increased by 0.81 SD in the SOLAR cohort (95% BCI: 0.37, 1.30) and 0.67 SD in the CHS cohort (95% BCI: 0.00, 1.50). In general, no individual PFAS appeared to drive the observed associations. DISCUSSION Exposure to PFAS is associated with alterations in amino acid metabolism and lipid metabolism in adolescents and young adults. https://doi.org/10.1289/EHP11372.
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Affiliation(s)
- Jesse A. Goodrich
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Douglas I. Walker
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA
| | - Jingxuan He
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Xiangping Lin
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Brittney O. Baumert
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Xin Hu
- Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, Emory University, Atlanta, Georgia, USA
| | - Tanya L. Alderete
- Department of Integrative Physiology, University of Colorado Boulder, Boulder, Colorado, USA
| | - Zhanghua Chen
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Damaskini Valvi
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Zoe C. Fuentes
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Sarah Rock
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Hongxu Wang
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Kiros Berhane
- Department of Biostatistics, Columbia University, New York, New York, USA
| | - Frank D. Gilliland
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Michael I. Goran
- Department of Pediatrics, Children’s Hospital Los Angeles, Saban Research Institute, Los Angeles, California, USA
| | - Dean P. Jones
- Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, Emory University, Atlanta, Georgia, USA
| | - David V. Conti
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Leda Chatzi
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
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48
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Visconti G, Boccard J, Feinberg M, Rudaz S. From fundamentals in calibration to modern methodologies: A tutorial for small molecules quantification in liquid chromatography-mass spectrometry bioanalysis. Anal Chim Acta 2023; 1240:340711. [PMID: 36641149 DOI: 10.1016/j.aca.2022.340711] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Revised: 12/05/2022] [Accepted: 12/06/2022] [Indexed: 12/12/2022]
Abstract
Over the last two decades, liquid chromatography coupled to mass-spectrometry (LC‒MS) has become the gold standard to perform qualitative and quantitative analyses of small molecules. When quantitative analysis is developed, an analyst usually refers to international guidelines for analytical method validation. In this context, the design of calibration curves plays a key role in providing accurate results. During recent years and along with instrumental advances, strategies to build calibration curves have dramatically evolved, introducing innovative approaches to improve quantitative precision and throughput. For example, when a labeled standard is available to be spiked directly into the study sample, the concentration of the unlabeled analog can be easily determined using the isotopic pattern deconvolution or the internal calibration approach, eliminating the need for multipoint calibration curves. This tutorial aims to synthetize the advances in LC‒MS quantitative analysis for small molecules in complex matrices, going from fundamental aspects in calibration to modern methodologies and applications. Different work schemes for calibration depending on the sample characteristics (analyte and matrix nature) are distinguished and discussed. Finally, this tutorial outlines the importance of having international guidelines for analytical method validation that agree with the advances in calibration strategies and analytical instrumentation.
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Affiliation(s)
- Gioele Visconti
- School of Pharmaceutical Sciences, University of Geneva, CMU - Rue Michel-Servet 1, 1211, Geneva, Switzerland; Institute of Pharmaceutical Sciences of Western Switzerland, University of Geneva, CMU - Rue Michel-Servet 1, 1211, Geneva, Switzerland
| | - Julien Boccard
- School of Pharmaceutical Sciences, University of Geneva, CMU - Rue Michel-Servet 1, 1211, Geneva, Switzerland; Institute of Pharmaceutical Sciences of Western Switzerland, University of Geneva, CMU - Rue Michel-Servet 1, 1211, Geneva, Switzerland
| | | | - Serge Rudaz
- School of Pharmaceutical Sciences, University of Geneva, CMU - Rue Michel-Servet 1, 1211, Geneva, Switzerland; Institute of Pharmaceutical Sciences of Western Switzerland, University of Geneva, CMU - Rue Michel-Servet 1, 1211, Geneva, Switzerland.
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49
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Yao Y, Zhang H, Tu L, Yu T, Chen B, Huang P, Hu Y, Luan T. Normalization Approach by a Reference Material to Improve LC-MS-Based Metabolomic Data Comparability of Multibatch Samples. Anal Chem 2023; 95:1309-1317. [PMID: 36538611 DOI: 10.1021/acs.analchem.2c04188] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Large cohorts of samples from multiple batches are usually required for global metabolomic studies to characterize the metabolic state of human disease. As such, it is critical to eliminate systematic variation and truly reveal the biologically associated alterations. In this study, we proposed a reference material-based approach (Ref-M) for data correction by liquid chromatography-mass spectrometry and represented by an analysis of multibatch human serum samples. The reference material was generated by mixing serum from healthy donors and distributed to each extraction batch of subject samples. Pooled quality control samples and isotopic internal standards were then applied in each acquisition batch for data quality control. Finally, each metabolite in subject samples was normalized by its counterpart in the reference serum. We demonstrated that Ref-M significantly enhanced the numbers of efficient features and effectively eliminated the batch variation of 522 serum samples of healthy individuals, benign pulmonary nodules, and lung cancer patients. Twenty differential metabolites were identified to distinguish lung cancer from healthy controls in the training set. The discriminant model was validated in an independent data set with an area under the receiver operating characteristics (ROC) curve (AUC) of 0.853. Another 40 serum samples further tested with Ref-M were achieved an AUC of 0.843 by the established model. Our results showed that the reference material-based approach presents the potential to improve the data comparability and precision for biomarker discovery in large-scale metabolomic studies.
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Affiliation(s)
- Yao Yao
- Sate Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-Sen University, Guangzhou510275, China
| | - Hui Zhang
- Metabolic Innovation Center, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou510080, China.,School of Biomedical and Pharmaceutical Sciences, Guangdong University of Technology, Guangzhou510006, China.,Platform of Metabolomics, Center for Precision Medicine, Sun Yat-Sen University, Guangzhou510080, China
| | - Lanyin Tu
- Sate Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-Sen University, Guangzhou510275, China
| | - Tiantian Yu
- Metabolic Innovation Center, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou510080, China
| | - Baowei Chen
- Southern Marine Science and Engineering Guangdong Laboratory, School of Marine Sciences, Sun Yat-Sen University, Zhuhai519082, China
| | - Peng Huang
- State Key Laboratory of Oncology in South China, Cancer Metabolism and Intervention Research Center, Sun Yat-Sen University Cancer Center, Guangzhou510060, China.,Metabolic Innovation Center, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou510080, China
| | - Yumin Hu
- State Key Laboratory of Oncology in South China, Cancer Metabolism and Intervention Research Center, Sun Yat-Sen University Cancer Center, Guangzhou510060, China.,Metabolic Innovation Center, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou510080, China
| | - Tiangang Luan
- Sate Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-Sen University, Guangzhou510275, China.,Institute of Environmental and Ecological Engineering, Guangdong University of Technology, Guangzhou510006, China
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50
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Cooke MS, Chang YJ, Chen YR, Hu CW, Chao MR. Nucleic acid adductomics - The next generation of adductomics towards assessing environmental health risks. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 856:159192. [PMID: 36195140 DOI: 10.1016/j.scitotenv.2022.159192] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/26/2022] [Revised: 09/07/2022] [Accepted: 09/29/2022] [Indexed: 06/16/2023]
Abstract
This Discussion article aims to explore the potential for a new generation of assay to emerge from cellular and urinary DNA adductomics which brings together DNA-RNA- and, to some extent, protein adductomics, to better understand the role of the exposome in environmental health. Components of the exposome have been linked to an increased risk of various, major diseases, and to identify the precise nature, and size, of risk, in this complex mixture of exposures, powerful tools are needed. Modification of nucleic acids (NA) is a key consequence of environmental exposures, and a goal of cellular DNA adductomics is to evaluate the totality of DNA modifications in the genome, on the basis that this will be most informative. Consequently, an approach which encompasses modifications of all nucleic acids (NA) would be potentially yet more informative. This article focuses on NA adductomics, which brings together the assessment of both DNA and RNA modifications, including modified (2'-deoxy)ribonucleosides (2'-dN/rN), modified nucleobases (nB), plus: DNA-DNA, RNA-RNA, DNA-RNA, DNA-protein, and RNA-protein crosslinks (DDCL, RRCL, DRCL, DPCL, and RPCL, respectively). We discuss the need for NA adductomics, plus the pros and cons of cellular vs. urinary NA adductomics, and present some evidence for the feasibility of this approach. We propose that NA adductomics provides a more comprehensive approach to the study of nucleic acid modifications, which will facilitate a range of advances, including the identification of novel, unexpected modifications e.g., RNA-RNA, and DNA-RNA crosslinks; key modifications associated with mutagenesis; agent-specific mechanisms; and adductome signatures of key environmental agents, leading to the dissection of the exposome, and its role in human health/disease, across the life course.
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Affiliation(s)
- Marcus S Cooke
- Oxidative Stress Group, Department of Cell Biology, Microbiology, and Molecular Biology, University of South Florida, Tampa, FL 33620, USA.
| | - Yuan-Jhe Chang
- Department of Occupational Safety and Health, Chung Shan Medical University, Taichung 402, Taiwan
| | - Yet-Ran Chen
- Agricultural Biotechnology Research Center, Academia Sinica, Taipei 115, Taiwan
| | - Chiung-Wen Hu
- Department of Public Health, Chung Shan Medical University, Taichung 402, Taiwan.
| | - Mu-Rong Chao
- Department of Occupational Safety and Health, Chung Shan Medical University, Taichung 402, Taiwan; Department of Occupational Medicine, Chung Shan Medical University Hospital, Taichung 402, Taiwan.
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