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Suthar H, Manea T, Pak D, Woodbury M, Eick SM, Cathey A, Watkins DJ, Strakovsky RS, Ryva BA, Pennathur S, Zeng L, Weller D, Park JS, Smith S, DeMicco E, Padula A, Fry RC, Mukherjee B, Aguiar A, Geiger SD, Ng S, Huerta-Montanez G, Vélez-Vega C, Rosario Z, Cordero JF, Zimmerman E, Woodruff TJ, Morello-Frosch R, Schantz SL, Meeker JD, Alshawabkeh AN, Aung MT. Cross-Sectional Associations between Prenatal Per- and Poly-Fluoroalkyl Substances and Bioactive Lipids in Three Environmental Influences on Child Health Outcomes (ECHO) Cohorts. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2024; 58:8264-8277. [PMID: 38691655 PMCID: PMC11097396 DOI: 10.1021/acs.est.4c00094] [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: 01/25/2024] [Revised: 04/16/2024] [Accepted: 04/16/2024] [Indexed: 05/03/2024]
Abstract
Prenatal per- and poly-fluoroalkyl substances (PFAS) exposure may influence gestational outcomes through bioactive lipids─metabolic and inflammation pathway indicators. We estimated associations between prenatal PFAS exposure and bioactive lipids, measuring 12 serum PFAS and 50 plasma bioactive lipids in 414 pregnant women (median 17.4 weeks' gestation) from three Environmental influences on Child Health Outcomes Program cohorts. Pairwise association estimates across cohorts were obtained through linear mixed models and meta-analysis, adjusting the former for false discovery rates. Associations between the PFAS mixture and bioactive lipids were estimated using quantile g-computation. Pairwise analyses revealed bioactive lipid levels associated with PFDeA, PFNA, PFOA, and PFUdA (p < 0.05) across three enzymatic pathways (cyclooxygenase, cytochrome p450, lipoxygenase) in at least one combined cohort analysis, and PFOA and PFUdA (q < 0.2) in one linear mixed model. The strongest signature revealed doubling in PFOA corresponding with PGD2 (cyclooxygenase pathway; +24.3%, 95% CI: 7.3-43.9%) in the combined cohort. Mixture analysis revealed nine positive associations across all pathways with the PFAS mixture, the strongest signature indicating a quartile increase in the PFAS mixture associated with PGD2 (+34%, 95% CI: 8-66%), primarily driven by PFOS. Bioactive lipids emerged as prenatal PFAS exposure biomarkers, deepening insights into PFAS' influence on pregnancy outcomes.
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Affiliation(s)
- Himal Suthar
- Department
of Population and Public Health Sciences, University of Southern California, Los Angeles, California 90032, United States
| | - Tomás Manea
- Department
of Population and Public Health Sciences, University of Southern California, Los Angeles, California 90032, United States
| | - Dominic Pak
- Department
of Population and Public Health Sciences, University of Southern California, Los Angeles, California 90032, United States
| | - Megan Woodbury
- Department
of Civil and Environmental Engineering, Northeastern University, Boston, Massachusetts 02115, United States
| | - Stephanie M. Eick
- Gangarosa
Department of Environmental Health, Emory
University Rollins School of Public Health, Atlanta, Georgia 30322, United States
| | - Amber Cathey
- Department
of Environmental Health Sciences, University
of Michigan School of Public Health, Ann Arbor, Michigan 48109, United States
| | - Deborah J. Watkins
- Department
of Environmental Health Sciences, University
of Michigan School of Public Health, Ann Arbor, Michigan 48109, United States
| | - Rita S. Strakovsky
- Institute
for Integrative Toxicology, Michigan State
University, East Lansing, Michigan 48824, United States
- Department
of Food Sciences and Human Nutrition, Michigan
State University, East Lansing, Michigan 48824, United States
| | - Brad A. Ryva
- Institute
for Integrative Toxicology, Michigan State
University, East Lansing, Michigan 48824, United States
- Department
of Pharmacology and Toxicology, Michigan
State University, East Lansing, Michigan 48824, United States
- College
of Osteopathic Medicine, Michigan State
University, East Lansing, Michigan 48824, United States
| | - Subramaniam Pennathur
- Department
of Internal Medicine-Nephrology, University
of Michigan, Ann Arbor, Michigan 48824, United States
- Department
of Molecular and Integrative Physiology, University of Michigan, Ann Arbor, Michigan 48109, United States
| | - Lixia Zeng
- Department
of Internal Medicine-Nephrology, University
of Michigan, Ann Arbor, Michigan 48824, United States
| | - David Weller
- NSF International, Ann Arbor, Michigan 48105, United States
| | - June-Soo Park
- Environmental Chemistry Laboratory, Department of Toxic
Substances
Control, California Environmental Protection
Agency, Berkeley, California 94710, United States
| | - Sabrina Smith
- Environmental Chemistry Laboratory, Department of Toxic
Substances
Control, California Environmental Protection
Agency, Berkeley, California 94710, United States
| | - Erin DeMicco
- Program on Reproductive
Health and the Environment, University of
California, San Francisco, San
Francisco, California 94143, United States
| | - Amy Padula
- Program on Reproductive
Health and the Environment, University of
California, San Francisco, San
Francisco, California 94143, United States
| | - Rebecca C. Fry
- Department
of Environmental Sciences and Engineering, University of North Carolina, Chapel Hill, Gillings
School of Global Public Health, Chapel Hill, North Carolina 27599, United States
| | - Bhramar Mukherjee
- Department of Biostatistics, University
of Michigan School of Public Health, Ann Arbor, Michigan 48109, United States
| | - Andrea Aguiar
- Beckman
Institute for Advanced Science and Technology, University of Illinois Urbana−Champaign, Champaign, Illinois 61801, United States
- Department of Comparative Biosciences, University of Illinois Urbana−Champaign, Champaign, Illinois 61802, United States
| | - Sarah Dee Geiger
- Department of Comparative Biosciences, University of Illinois Urbana−Champaign, Champaign, Illinois 61802, United States
- Department of Kinesiology and Community Health, University of Illinois at Urbana−Champaign, Champaign, Illinois 61801, United States
| | - Shukhan Ng
- Department of Comparative Biosciences, University of Illinois Urbana−Champaign, Champaign, Illinois 61802, United States
| | - Gredia Huerta-Montanez
- Department
of Civil and Environmental Engineering, Northeastern University, Boston, Massachusetts 02115, United States
| | - Carmen Vélez-Vega
- Department of Epidemiology and Biostatistics, University of Georgia, Athens, Georgia 30606, United States
| | - Zaira Rosario
- University of Puerto Rico Graduate School of Public Health, San Juan, Puerto Rico 00935, United States
| | - Jose F. Cordero
- Department of Epidemiology and Biostatistics, University of Georgia, Athens, Georgia 30606, United States
| | - Emily Zimmerman
- Department of Communication Sciences and Disorders, Northeastern University, Boston, Massachusetts 02115, United States
| | - Tracey J. Woodruff
- Program on Reproductive
Health and the Environment, University of
California, San Francisco, San
Francisco, California 94143, United States
| | - Rachel Morello-Frosch
- Program on Reproductive
Health and the Environment, University of
California, San Francisco, San
Francisco, California 94143, United States
- Department of Environmental Science, Policy and Management
and School of Public Health, University
of California, Berkeley, Berkeley, California 94720, United States
| | - Susan L. Schantz
- Beckman
Institute for Advanced Science and Technology, University of Illinois Urbana−Champaign, Champaign, Illinois 61801, United States
- Department of Comparative Biosciences, University of Illinois Urbana−Champaign, Champaign, Illinois 61802, United States
| | - John D. Meeker
- Department
of Environmental Health Sciences, University
of Michigan School of Public Health, Ann Arbor, Michigan 48109, United States
| | - Akram N. Alshawabkeh
- Department
of Civil and Environmental Engineering, Northeastern University, Boston, Massachusetts 02115, United States
| | - Max T. Aung
- Department
of Population and Public Health Sciences, University of Southern California, Los Angeles, California 90032, United States
| | - on behalf of Program Collaborators
for Environmental Influences on Child Health Outcomes
- Department
of Population and Public Health Sciences, University of Southern California, Los Angeles, California 90032, United States
- Department
of Civil and Environmental Engineering, Northeastern University, Boston, Massachusetts 02115, United States
- Gangarosa
Department of Environmental Health, Emory
University Rollins School of Public Health, Atlanta, Georgia 30322, United States
- Department
of Environmental Health Sciences, University
of Michigan School of Public Health, Ann Arbor, Michigan 48109, United States
- Institute
for Integrative Toxicology, Michigan State
University, East Lansing, Michigan 48824, United States
- Department
of Food Sciences and Human Nutrition, Michigan
State University, East Lansing, Michigan 48824, United States
- Department
of Pharmacology and Toxicology, Michigan
State University, East Lansing, Michigan 48824, United States
- College
of Osteopathic Medicine, Michigan State
University, East Lansing, Michigan 48824, United States
- Department
of Internal Medicine-Nephrology, University
of Michigan, Ann Arbor, Michigan 48824, United States
- Department
of Molecular and Integrative Physiology, University of Michigan, Ann Arbor, Michigan 48109, United States
- NSF International, Ann Arbor, Michigan 48105, United States
- Environmental Chemistry Laboratory, Department of Toxic
Substances
Control, California Environmental Protection
Agency, Berkeley, California 94710, United States
- Program on Reproductive
Health and the Environment, University of
California, San Francisco, San
Francisco, California 94143, United States
- Department
of Environmental Sciences and Engineering, University of North Carolina, Chapel Hill, Gillings
School of Global Public Health, Chapel Hill, North Carolina 27599, United States
- Department of Biostatistics, University
of Michigan School of Public Health, Ann Arbor, Michigan 48109, United States
- Beckman
Institute for Advanced Science and Technology, University of Illinois Urbana−Champaign, Champaign, Illinois 61801, United States
- Department of Comparative Biosciences, University of Illinois Urbana−Champaign, Champaign, Illinois 61802, United States
- Department of Kinesiology and Community Health, University of Illinois at Urbana−Champaign, Champaign, Illinois 61801, United States
- Department of Epidemiology and Biostatistics, University of Georgia, Athens, Georgia 30606, United States
- University of Puerto Rico Graduate School of Public Health, San Juan, Puerto Rico 00935, United States
- Department of Communication Sciences and Disorders, Northeastern University, Boston, Massachusetts 02115, United States
- Department of Environmental Science, Policy and Management
and School of Public Health, University
of California, Berkeley, Berkeley, California 94720, United States
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Suárez-Santisteban MA, Santos-Díaz G, García-Bernalt V, Pérez-Pico AM, Mingorance E, Mayordomo R, Dorado P. Association between CYP4A11 and EPHX2 genetic polymorphisms and chronic kidney disease progression in hypertensive patients. Nefrologia 2024:S2013-2514(24)00037-3. [PMID: 38448299 DOI: 10.1016/j.nefroe.2024.01.020] [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: 08/06/2023] [Indexed: 03/08/2024] Open
Abstract
BACKGROUND There are evidence indicating that some metabolites of arachidonic acid produced by cytochromes P450 (CYP) and epoxide hydroxylase (EPHX2), such as hydroxyeicosatetraenoic acids (HETEs), epoxyeicosatrienoic acids (EETs) or dihydroxyeicosatrienoic acids (DHETEs), play an important role in blood pressure regulation and they could contribute to the development of hypertension (HT) and kidney damage. Therefore, the main aim of the study was to evaluate whether the genetic polymorphisms of CYP2C8, CYP2C9, CYP2J2, CYP4F2, CYP4F11 and EPHX2, responsible for the formation of HETEs, EETs and DHETEs, are related to the progression of impaired renal function in a group of patients with hypertension. METHODS 151HT patients from a hospital nephrology service were included in the study. Additionally, a group of 87 normotensive subjects were involved in the study as control group. For HT patients, a general biochemistry analysis, estimated glomerular filtration rate and genotyping for different CYPs and EPHX2 variant alleles was performed. RESULTS CYP4A11 rs3890011, rs9332982 and EPHX2 rs41507953 polymorphisms, according to the dominant model, presented a high risk of impaired kidney function, with odds ratios (OR) of 2.07 (1.00-4.32; P=0.049) 3.02 (1.11-8.23; P=0.030) and 3.59 (1.37-9.41; P=0.009), respectively, and the EPHX2 rs1042032 polymorphism a greater risk according to the recessive model (OR=6.23; 95% CI=1.50-25.95; P=0.007). However, no significant differences in allele frequencies between HT patients and in normotensive subjects for any of the SNP analysed. In addition, the patients with diagnosis of dyslipidemia (n=90) presented higher frequencies of EPHX2 K55R (rs41507953) and *35A>G (rs1042032) variants than patients without dyslipidemia, 4% vs. 14% (P=0.005) and 16 vs. 27% (P=0.02), respectively. CONCLUSIONS In this study has been found higher odds of impaired renal function progression associated with rs3890011 and rs9332982 (CYP4A11) and rs41507953 and rs1042032 (EPHX2) polymorphisms, which may serve as biomarkers for improve clinical interventions aimed at avoiding or delaying, in chronic kidney disease patients, progress to end-stage kidney disease needing dialysis or kidney transplant.
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Affiliation(s)
- Miguel A Suárez-Santisteban
- Biosanitary University Research Institute (INUBE), University of Extremadura, Badajoz, Spain; Service of Nephrology, Virgen del Puerto Hospital, Plasencia, Spain
| | - Gracia Santos-Díaz
- Biosanitary University Research Institute (INUBE), University of Extremadura, Badajoz, Spain
| | | | - Ana M Pérez-Pico
- Department of Nursing, University of Extremadura, Plasencia, Spain
| | | | - Raquel Mayordomo
- Department of Anatomy, Cellular Biology and Zoology, University of Extremadura, Plasencia, Spain
| | - Pedro Dorado
- Biosanitary University Research Institute (INUBE), University of Extremadura, Badajoz, Spain; Department of Medical and Surgical Therapeutics, University of Extremadura, Badajoz, Spain.
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Suthar H, Manea T, Pak D, Woodbury M, Eick SM, Cathey A, Watkins DJ, Strakovsky RS, Ryva BA, Pennathur S, Zeng L, Weller D, Park JS, Smith S, DeMicco E, Padula A, Fry RC, Mukherjee B, Aguiar A, Dee Geiger S, Ng S, Huerta-Montanez G, Vélez-Vega C, Rosario Z, Cordero JF, Zimmerman E, Woodruff TJ, Morello-Frosch R, Schantz SL, Meeker JD, Alshawabkeh A, Aung MT. Cross-sectional associations between prenatal maternal per- and poly-fluoroalkyl substances and bioactive lipids in three Environmental influences on Child Health Outcomes (ECHO) cohorts. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.11.03.23297930. [PMID: 37961525 PMCID: PMC10635258 DOI: 10.1101/2023.11.03.23297930] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2023]
Abstract
Background Per- and poly-fluoroalkyl substances (PFAS) exposure can occur through ingestion of contaminated food and water, and inhalation of indoor air contaminated with these chemicals from consumer and industrial products. Prenatal PFAS exposures may confer risk for pregnancy-related outcomes such as hypertensive and metabolic disorders, preterm birth, and impaired fetal development through intermediate metabolic and inflammation pathways. Objective Estimate associations between maternal pregnancy PFAS exposure (individually and as a mixture) and bioactive lipids. Methods Our study included pregnant women in the Environmental influences on Child Health Outcomes Program: Chemicals in our Bodies cohort (CiOB, n=73), Illinois Kids Developmental Study (IKIDS, n=287), and the ECHO-PROTECT cohort (n=54). We measured twelve PFAS in serum and 50 plasma bioactive lipids (parent fatty acids and eicosanoids derived from cytochrome p450, lipoxygenase, and cyclooxygenase) during pregnancy (median 17 gestational weeks). Pairwise associations across cohorts were estimated using linear mixed models and meta-analysis. Associations between the PFAS mixture and individual bioactive lipids were estimated using quantile g-computation. Results PFDeA, PFOA, and PFUdA were associated (p<0.05) with changes in bioactive lipid levels in all three enzymatic pathways (cyclooxygenase [n=6 signatures]; cytochrome p450 [n=5 signatures]; lipoxygenase [n=7 signatures]) in at least one combined cohort analysis. The strongest signature indicated that a doubling in PFOA corresponded with a 24.3% increase (95% CI [7.3%, 43.9%]) in PGD2 (cyclooxygenase pathway) in the combined cohort. In the mixtures analysis, we observed nine positive signals across all pathways associated with the PFAS mixture. The strongest signature indicated that a quartile increase in the PFAS mixture was associated with a 34% increase in PGD2 (95% CI [8%, 66%]), with PFOS contributing most to the increase. Conclusions Bioactive lipids were revealed as biomarkers of PFAS exposure and could provide mechanistic insights into PFAS' influence on pregnancy outcomes, informing more precise risk estimation and prevention strategies.
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Affiliation(s)
- Himal Suthar
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA
| | - Tomás Manea
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA
| | - Dominic Pak
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA
| | - Megan Woodbury
- Department of Civil and Environmental Engineering, Northeastern University, Boston, MA, USA
| | - Stephanie M. Eick
- Gangarosa Department of Environmental Health, Emory University Rollins School of Public Health, Atlanta, GA, USA
| | - Amber Cathey
- Department of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Deborah J. Watkins
- Department of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Rita S. Strakovsky
- Institute for Integrative Toxicology, Michigan State University, East Lansing, MI, USA
- Department of Food Sciences and Human Nutrition, Michigan State University, East Lansing, MI, USA
| | - Brad A. Ryva
- Institute for Integrative Toxicology, Michigan State University, East Lansing, MI, USA
- Department of Pharmacology and Toxicology, Michigan State University, East Lansing, MI, USA
- College of Osteopathic Medicine, Michigan State University, East Lansing, MI, USA
| | - Subramaniam Pennathur
- Department of Internal Medicine-Nephrology, University of Michigan, Ann Arbor, MI, USA
- Department of Molecular and Integrative Physiology, University of Michigan, Ann Arbor, MI, USA
| | - Lixia Zeng
- Department of Internal Medicine-Nephrology, University of Michigan, Ann Arbor, MI, USA
| | | | - June-Soo Park
- Environmental Chemistry Laboratory, Department of Toxic Substances Control, California Environmental Protection Agency, Berkeley, CA, USA
| | - Sabrina Smith
- Environmental Chemistry Laboratory, Department of Toxic Substances Control, California Environmental Protection Agency, Berkeley, CA, USA
| | - Erin DeMicco
- Program on Reproductive Health and the Environment, University of California, San Francisco, San Francisco, CA, USA
| | - Amy Padula
- Program on Reproductive Health and the Environment, University of California, San Francisco, San Francisco, CA, USA
| | - Rebecca C. Fry
- Department of Environmental Sciences and Engineering, University of North Carolina, Chapel Hill, Gillings School of Global Public Health, Chapel Hill, NC, USA
| | - Bhramar Mukherjee
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Andrea Aguiar
- Beckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, Illinois, USA
- Department of Comparative Biosciences, University of Illinois Urbana-Champaign, IL, USA
| | - Sarah Dee Geiger
- Department of Comparative Biosciences, University of Illinois Urbana-Champaign, IL, USA
- Department of Kinesiology and Community Health, University of Illinois at Urbana-Champaign, Champaign, Illinois, USA
| | - Shukhan Ng
- Department of Comparative Biosciences, University of Illinois Urbana-Champaign, IL, USA
| | - Gredia Huerta-Montanez
- Department of Civil and Environmental Engineering, Northeastern University, Boston, MA, USA
| | - Carmen Vélez-Vega
- Department of Epidemiology and Biostatistics, University of Georgia, Athens, Georgia, USA
| | - Zaira Rosario
- University of Puerto Rico Graduate School of Public Health, San Juan, PR, USA
| | - Jose F. Cordero
- Department of Epidemiology and Biostatistics, University of Georgia, Athens, Georgia, USA
| | - Emily Zimmerman
- Department of Communication Sciences and Disorders, Northeastern University, Boston, MA, USA
| | - Tracey J. Woodruff
- Program on Reproductive Health and the Environment, University of California, San Francisco, San Francisco, CA, USA
| | - Rachel Morello-Frosch
- Program on Reproductive Health and the Environment, University of California, San Francisco, San Francisco, CA, USA
- Department of Environmental Science, Policy and Management and School of Public Health, University of California, Berkeley, Berkeley, CA, USA
| | - Susan L. Schantz
- Beckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, Illinois, USA
- Department of Comparative Biosciences, University of Illinois Urbana-Champaign, IL, USA
| | - John D. Meeker
- Department of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Akram Alshawabkeh
- Department of Civil and Environmental Engineering, Northeastern University, Boston, MA, USA
| | - Max T. Aung
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA
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Liu C, Yalavarthi S, Tambralli A, Zeng L, Rysenga CE, Alizadeh N, Hudgins L, Liang W, NaveenKumar SK, Shi H, Shelef MA, Atkins KB, Pennathur S, Knight JS. Inhibition of neutrophil extracellular trap formation alleviates vascular dysfunction in type 1 diabetic mice. SCIENCE ADVANCES 2023; 9:eadj1019. [PMID: 37878711 PMCID: PMC10599623 DOI: 10.1126/sciadv.adj1019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Accepted: 09/20/2023] [Indexed: 10/27/2023]
Abstract
While neutrophil extracellular traps (NETs) have previously been linked to some diabetes-associated complications, such as dysfunctional wound healing, their potential role in diabetic vascular dysfunction has not been studied. Diabetic Akita mice were crossed with either Elane-/- or Pad4-/- mice to generate NET-deficient diabetic mice. By 24 weeks of age, Akita aortae showed markedly impaired relaxation in response to acetylcholine, indicative of vascular dysfunction. Both Akita-Elane-/- mice and Akita-Pad4-/- mice had reduced levels of circulating NETs and improved acetylcholine-mediated aortic relaxation. Compared with wild-type aortae, the thromboxane metabolite TXB2 was roughly 10-fold higher in both intact and endothelium-denuded aortae of Akita mice. In contrast, Akita-Elane-/- and Akita-Pad4-/- aortae had TXB2 levels similar to wild type. In summary, inhibition of NETosis by two independent strategies prevented the development of vascular dysfunction in diabetic Akita mice. Thromboxane was up-regulated in the vessel walls of NETosis-competent diabetic mice, suggesting a role for neutrophils in driving the production of this vasoconstrictive and atherogenic prostanoid.
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Affiliation(s)
- Chao Liu
- Division of Rheumatology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Srilakshmi Yalavarthi
- Division of Rheumatology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Ajay Tambralli
- Division of Rheumatology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Lixia Zeng
- Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Christine E. Rysenga
- Division of Rheumatology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Nikoo Alizadeh
- Division of Rheumatology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Lucas Hudgins
- Division of Rheumatology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Wenying Liang
- Division of Rheumatology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
| | | | - Hui Shi
- Division of Rheumatology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
- Department of Rheumatology and Immunology, Ruijin Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Miriam A. Shelef
- Division of Rheumatology, Department of Medicine, University of Wisconsin–Madison, Madison, WI, USA
- William S. Middleton Memorial Veterans Hospital, Madison, WI, USA
| | - Kevin B. Atkins
- Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Subramaniam Pennathur
- Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
- Department of Molecular and Integrative Physiology, University of Michigan, Ann Arbor, MI, USA
| | - Jason S. Knight
- Division of Rheumatology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
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Zhang Y, Liu Y, Sun J, Zhang W, Guo Z, Ma Q. Arachidonic acid metabolism in health and disease. MedComm (Beijing) 2023; 4:e363. [PMID: 37746665 PMCID: PMC10511835 DOI: 10.1002/mco2.363] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2023] [Revised: 08/13/2023] [Accepted: 08/17/2023] [Indexed: 09/26/2023] Open
Abstract
Arachidonic acid (AA), an n-6 essential fatty acid, is a major component of mammalian cells and can be released by phospholipase A2. Accumulating evidence indicates that AA plays essential biochemical roles, as it is the direct precursor of bioactive lipid metabolites of eicosanoids such as prostaglandins, leukotrienes, and epoxyeicosatrienoic acid obtained from three distinct enzymatic metabolic pathways: the cyclooxygenase pathway, lipoxygenase pathway, and cytochrome P450 pathway. AA metabolism is involved not only in cell differentiation, tissue development, and organ function but also in the progression of diseases, such as hepatic fibrosis, neurodegeneration, obesity, diabetes, and cancers. These eicosanoids are generally considered proinflammatory molecules, as they can trigger oxidative stress and stimulate the immune response. Therefore, interventions in AA metabolic pathways are effective ways to manage inflammatory-related diseases in the clinic. Currently, inhibitors targeting enzymes related to AA metabolic pathways are an important area of drug discovery. Moreover, many advances have also been made in clinical studies of AA metabolic inhibitors in combination with chemotherapy and immunotherapy. Herein, we review the discovery of AA and focus on AA metabolism in relation to health and diseases. Furthermore, inhibitors targeting AA metabolism are summarized, and potential clinical applications are discussed.
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Affiliation(s)
- Yiran Zhang
- Department of Orthopedic SurgeryOrthopedic Oncology InstituteThe Second Affiliated Hospital of Air Force Medical UniversityXi'anChina
| | - Yingxiang Liu
- Department of Orthopedic SurgeryOrthopedic Oncology InstituteThe Second Affiliated Hospital of Air Force Medical UniversityXi'anChina
| | - Jin Sun
- Department of Orthopedic SurgeryOrthopedic Oncology InstituteThe Second Affiliated Hospital of Air Force Medical UniversityXi'anChina
| | - Wei Zhang
- Department of PathologyThe Second Affiliated Hospital of Air Force Medical UniversityXi'anChina
| | - Zheng Guo
- Department of Orthopedic SurgeryOrthopedic Oncology InstituteThe Second Affiliated Hospital of Air Force Medical UniversityXi'anChina
| | - Qiong Ma
- Department of Orthopedic SurgeryOrthopedic Oncology InstituteThe Second Affiliated Hospital of Air Force Medical UniversityXi'anChina
- Department of PathologyThe Second Affiliated Hospital of Air Force Medical UniversityXi'anChina
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6
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Park S, Cathey AL, Hao W, Zeng L, Pennathur S, Aung MT, Rosario-Pabón Z, Vélez-Vega CM, Cordero JF, Alshawabkeh A, Watkins DJ, Meeker JD. Associations of phthalates, phthalate replacements, and their mixtures with eicosanoid biomarkers during pregnancy. ENVIRONMENT INTERNATIONAL 2023; 178:108101. [PMID: 37487376 PMCID: PMC10733973 DOI: 10.1016/j.envint.2023.108101] [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: 04/22/2023] [Revised: 06/25/2023] [Accepted: 07/17/2023] [Indexed: 07/26/2023]
Abstract
Humans are exposed to complex mixtures of phthalates. Gestational exposure to phthalates has been linked to preeclampsia and preterm birth through potential pathways such as endocrine disruption, oxidative stress, and inflammation. Eicosanoids are bioactive signaling lipids that are related to a variety of homeostatic and inflammatory processes. We investigated associations between urinary phthalates and their mixtures with plasma eicosanoid levels during pregnancy using the PROTECT cohort in Puerto Rico (N = 655). After adjusting for covariates, we estimated pair-wise associations between the geometric mean of individual phthalate metabolite concentrations across pregnancy and eicosanoid biomarkers using multivariable linear regression. We used bootstrapping of adaptive elastic net regression (adENET) to evaluate phthalate mixtures associated with eicosanoids and subsequently create environmental risk scores (ERS) to represent weighted sums of phthalate exposure for each individual. After adjusting for false-discovery, in single-pollutant analysis, 14 of 20 phthalate metabolites or parent compound indices showed significant and primarily negative associations with multiple eicosanoids. In our mixture analysis, associations with several metabolites of low molecular weight phthalates - DEP, DBP, and DIBP - became prominent. Additionally, MEHHTP and MECPTP, metabolites of a new phthalate replacement, DEHTP, were selected as important predictors for determining the concentrations of multiple eicosanoids from different pathway groups. A unit increase in phthalate ERS derived from bootstrapping of adENET was positively associated with several eicosanoids mainly from Cytochrome P450 pathway. For example, an increase in ERS was associated with 11(S)-HETE (β = 1.6, 95% CI: 0.020, 3.180), (±)11,12-DHET (β = 2.045, 95% CI: 0.250, 3.840), 20(S)-HETE (β = 0.813, 95% CI: 0.147, 1.479), and 9 s-HODE (β = 2.381, 95% CI: 0.657, 4.104). Gestational exposure to phthalates and phthalate mixtures were associated with eicosanoid levels during pregnancy. Results from the mixture analyses underscore the complexity of physiological impacts of phthalate exposure and call for further in-depth studies to examine these relationships.
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Affiliation(s)
- Seonyoung Park
- Department of Environmental Health Sciences, University of Michigan, School of Public Health, Ann Arbor, MI, USA
| | - Amber L Cathey
- Department of Environmental Health Sciences, University of Michigan, School of Public Health, Ann Arbor, MI, USA
| | - Wei Hao
- Department of Biostatistics, University of Michigan, School of Public Health, Ann Arbor, MI, USA
| | - Lixia Zeng
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Subramaniam Pennathur
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA; Department of Molecular and Integrative Physiology, University of Michigan, Ann Arbor, MI, USA
| | - Max T Aung
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA
| | - Zaira Rosario-Pabón
- Graduate School of Public Health, Medical Sciences Campus, University of Puerto Rico, San Juan, PR, USA
| | - Carmen M Vélez-Vega
- Graduate School of Public Health, Medical Sciences Campus, University of Puerto Rico, San Juan, PR, USA
| | - José F Cordero
- Department of Epidemiology and Biostatistics, University of Georgia, Athens, GA, USA
| | | | - Deborah J Watkins
- Department of Environmental Health Sciences, University of Michigan, School of Public Health, Ann Arbor, MI, USA
| | - John D Meeker
- Department of Environmental Health Sciences, University of Michigan, School of Public Health, Ann Arbor, MI, USA.
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7
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Hirata T, Ohara H, Kojima N, Koretsune H, Hasegawa Y, Inatani S, Takahashi T. Renoprotective Effect of TP0472993, a Novel and Selective 20-Hydroxyeicosatetraenoic Acid Synthesis Inhibitor, in Mouse Models of Renal Fibrosis. J Pharmacol Exp Ther 2023; 386:56-69. [PMID: 37142440 DOI: 10.1124/jpet.122.001521] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Revised: 04/06/2023] [Accepted: 04/17/2023] [Indexed: 05/06/2023] Open
Abstract
Kidney fibrosis is considered the essential pathophysiological process for the progression of chronic kidney disease (CKD) toward renal failure. 20-Hydroxyeicosatetraenoic acid (20-HETE) has crucial roles in modulating the vascular response in the kidney and the progression of albuminuria. However, the roles of 20-HETE in kidney fibrosis are largely unexplored. In the current research, we hypothesized that if 20-HETE has important roles in the progression of kidney fibrosis, 20-HETE synthesis inhibitors might be effective against kidney fibrosis. To verify our hypothesis, this study investigated the effect of a novel and selective 20-HETE synthesis inhibitor, TP0472993, on the development of kidney fibrosis after folic acid- and obstructive-induced nephropathy in mice. Chronic treatment with TP0472993 at doses of 0.3 and 3 mg/kg twice a day attenuated the degree of kidney fibrosis in the folic acid nephropathy and the unilateral ureteral obstruction (UUO) mice, as demonstrated by reductions in Masson's trichrome staining and the renal collagen content. In addition, TP0472993 reduced renal inflammation, as demonstrated by markedly reducing interleukin-1β (IL-1β) and tumor necrosis factor alpha (TNF-α) levels in the renal tissue. Chronic treatment with TP0472993 also reduced the activity of extracellular signal-regulated kinase 1/2 (ERK1/2) and signal transducer and activator of transcription 3 (STAT3) in the kidney of UUO mice. Our observations indicate that inhibition of 20-HETE production with TP0472993 suppresses the kidney fibrosis progression via a reduction in the ERK1/2 and STAT3 signaling pathway, suggesting that 20-HETE synthesis inhibitors might be a novel treatment option against CKD. SIGNIFICANCE STATEMENT: In this study, we demonstrate that the pharmacological blockade of 20-hydroxyeicosatetraenoic acid (20-HETE) synthesis using TP0472993 suppresses the progression of kidney fibrosis after folic acid- and obstructive-induced nephropathy in mice, indicating that 20-HETE might have key roles in the pathogenesis of kidney fibrosis. TP0472993 has the potential to be a novel therapeutic approach against chronic kidney disease.
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Affiliation(s)
- Takashi Hirata
- Pharmacology Laboratories (T.H., H.O., N.K., H.K., T.T.) and Drug Safety and Pharmacokinetics Laboratories (Y.H., S.I.), Taisho Pharmaceutical Co., Ltd., Saitama, Japan
| | - Hiroki Ohara
- Pharmacology Laboratories (T.H., H.O., N.K., H.K., T.T.) and Drug Safety and Pharmacokinetics Laboratories (Y.H., S.I.), Taisho Pharmaceutical Co., Ltd., Saitama, Japan
| | - Naoki Kojima
- Pharmacology Laboratories (T.H., H.O., N.K., H.K., T.T.) and Drug Safety and Pharmacokinetics Laboratories (Y.H., S.I.), Taisho Pharmaceutical Co., Ltd., Saitama, Japan
| | - Hiroko Koretsune
- Pharmacology Laboratories (T.H., H.O., N.K., H.K., T.T.) and Drug Safety and Pharmacokinetics Laboratories (Y.H., S.I.), Taisho Pharmaceutical Co., Ltd., Saitama, Japan
| | - Yoshitaka Hasegawa
- Pharmacology Laboratories (T.H., H.O., N.K., H.K., T.T.) and Drug Safety and Pharmacokinetics Laboratories (Y.H., S.I.), Taisho Pharmaceutical Co., Ltd., Saitama, Japan
| | - Shoko Inatani
- Pharmacology Laboratories (T.H., H.O., N.K., H.K., T.T.) and Drug Safety and Pharmacokinetics Laboratories (Y.H., S.I.), Taisho Pharmaceutical Co., Ltd., Saitama, Japan
| | - Teisuke Takahashi
- Pharmacology Laboratories (T.H., H.O., N.K., H.K., T.T.) and Drug Safety and Pharmacokinetics Laboratories (Y.H., S.I.), Taisho Pharmaceutical Co., Ltd., Saitama, Japan
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8
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Bayır H, Dixon SJ, Tyurina YY, Kellum JA, Kagan VE. Ferroptotic mechanisms and therapeutic targeting of iron metabolism and lipid peroxidation in the kidney. Nat Rev Nephrol 2023; 19:315-336. [PMID: 36922653 DOI: 10.1038/s41581-023-00689-x] [Citation(s) in RCA: 50] [Impact Index Per Article: 50.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/07/2023] [Indexed: 03/17/2023]
Abstract
Ferroptosis is a mechanism of regulated necrotic cell death characterized by iron-dependent, lipid peroxidation-driven membrane destruction that can be inhibited by glutathione peroxidase 4. Morphologically, it is characterized by cellular, organelle and cytoplasmic swelling and the loss of plasma membrane integrity, with the release of intracellular components. Ferroptosis is triggered in cells with dysregulated iron and thiol redox metabolism, whereby the initial robust but selective accumulation of hydroperoxy polyunsaturated fatty acid-containing phospholipids is further propagated through enzymatic and non-enzymatic secondary mechanisms, leading to formation of oxidatively truncated electrophilic species and their adducts with proteins. Thus, ferroptosis is dependent on the convergence of iron, thiol and lipid metabolic pathways. The kidney is particularly susceptible to redox imbalance. A growing body of evidence has linked ferroptosis to acute kidney injury in the context of diverse stimuli, such as ischaemia-reperfusion, sepsis or toxins, and to chronic kidney disease, suggesting that ferroptosis may represent a novel therapeutic target for kidney disease. However, further work is needed to address gaps in our understanding of the triggers, execution and spreading mechanisms of ferroptosis.
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Affiliation(s)
- Hülya Bayır
- Department of Critical Care Medicine, Safar Center for Resuscitation Research, University of Pittsburgh, Pittsburgh, PA, USA.
- Center for Free Radical and Antioxidant Health, Departments of Environmental Health, Pharmacology and Chemical Biology, Chemistry, Radiation Oncology, University of Pittsburgh, Pittsburgh, PA, USA.
- Department of Pediatrics, Division of Critical Care and Hospital Medicine, Redox Health Center, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, USA.
| | - Scott J Dixon
- Department of Biology, Stanford University, Stanford, CA, USA
| | - Yulia Y Tyurina
- Center for Free Radical and Antioxidant Health, Departments of Environmental Health, Pharmacology and Chemical Biology, Chemistry, Radiation Oncology, University of Pittsburgh, Pittsburgh, PA, USA
| | - John A Kellum
- Department of Critical Care Medicine, Safar Center for Resuscitation Research, University of Pittsburgh, Pittsburgh, PA, USA
| | - Valerian E Kagan
- Center for Free Radical and Antioxidant Health, Departments of Environmental Health, Pharmacology and Chemical Biology, Chemistry, Radiation Oncology, University of Pittsburgh, Pittsburgh, PA, USA
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9
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Nephrotoxicity of Flame Retardants: An Understudied but Critical Toxic Endpoint. CURRENT OPINION IN TOXICOLOGY 2022. [DOI: 10.1016/j.cotox.2022.100359] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
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10
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Barnett LMA, Kramer NE, Buerger AN, Love DH, Bisesi JH, Cummings BS. Transcriptomic Analysis of the Differential Nephrotoxicity of Diverse Brominated Flame Retardants in Rat and Human Renal Cells. Int J Mol Sci 2021; 22:ijms221810044. [PMID: 34576211 PMCID: PMC8465879 DOI: 10.3390/ijms221810044] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2021] [Revised: 09/09/2021] [Accepted: 09/11/2021] [Indexed: 12/13/2022] Open
Abstract
Brominated flame retardants (BFRs) are environmentally persistent, are detected in humans, and some have been banned due to their potential toxicity. BFRs are developmental neurotoxicants and endocrine disruptors; however, few studies have explored their potential nephrotoxicity. We addressed this gap in the literature by determining the toxicity of three different BFRs (tetrabromobisphenol A (TBBPA), hexabromocyclododecane (HBCD), and tetrabromodiphenyl ether (BDE-47)) in rat (NRK 52E) and human (HK-2 and RPTEC) tubular epithelial cells. All compounds induced time- and concentration-dependent toxicity based on decreases in MTT staining and changes in cell and nuclear morphology. The toxicity of BFRs was chemical- and cell-dependent, and human cells were more susceptible to all three BFRs based on IC50s after 48 h exposure. BFRs also had chemical- and cell-dependent effects on apoptosis as measured by increases in annexin V and PI staining. The molecular mechanisms mediating this toxicity were investigated using RNA sequencing. Principal components analysis supported the hypothesis that BFRs induce different transcriptional changes in rat and human cells. Furthermore, BFRs only shared nine differentially expressed genes in rat cells and five in human cells. Gene set enrichment analysis demonstrated chemical- and cell-dependent effects; however, some commonalities were also observed. Namely, gene sets associated with extracellular matrix turnover, the coagulation cascade, and the SNS-related adrenal cortex response were enriched across all cell lines and BFR treatments. Taken together, these data support the hypothesis that BFRs induce differential toxicity in rat and human renal cell lines that is mediated by differential changes in gene expression.
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Affiliation(s)
| | - Naomi E Kramer
- Interdisciplinary Toxicology Program, University of Georgia, Athens, GA 30602, USA
| | - Amanda N Buerger
- Department of Environmental and Global Health and Center for Environmental and Human Toxicology, University of Florida, Gainesville, FL 32611, USA
| | - Deirdre H Love
- Department of Environmental and Global Health and Center for Environmental and Human Toxicology, University of Florida, Gainesville, FL 32611, USA
| | - Joseph H Bisesi
- Department of Environmental and Global Health and Center for Environmental and Human Toxicology, University of Florida, Gainesville, FL 32611, USA
| | - Brian S Cummings
- Interdisciplinary Toxicology Program, University of Georgia, Athens, GA 30602, USA
- Department of Pharmaceutical and Biomedical Sciences, University of Georgia, Athens, GA 30602, USA
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11
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Afshinnia F, Rajendiran TM, He C, Byun J, Montemayor D, Darshi M, Tumova J, Kim J, Limonte CP, Miller RG, Costacou T, Orchard TJ, Ahluwalia TS, Rossing P, Snell-Bergeon JK, de Boer IH, Natarajan L, Michailidis G, Sharma K, Pennathur S. Circulating Free Fatty Acid and Phospholipid Signature Predicts Early Rapid Kidney Function Decline in Patients With Type 1 Diabetes. Diabetes Care 2021; 44:2098-2106. [PMID: 34244329 PMCID: PMC8740931 DOI: 10.2337/dc21-0737] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/04/2021] [Accepted: 05/27/2021] [Indexed: 02/03/2023]
Abstract
OBJECTIVES Patients with type 1 diabetes (T1D) exhibit modest lipid abnormalities as measured by traditional metrics. This study aimed to identify lipidomic predictors of rapid decline of kidney function in T1D. RESEARCH DESIGN AND METHODS In a case-control study, 817 patients with T1D from three large cohorts were randomly split into training and validation subsets. Case was defined as >3 mL/min/1.73 m2 per year decline in estimated glomerular filtration rate (eGFR), while control was defined as <1 mL/min/1.73 m2 per year decline over a minimum 4-year follow-up. Lipids were quantified in baseline serum samples using a targeted mass spectrometry lipidomic platform. RESULTS At individual lipids, free fatty acid (FFA)20:2 was directly and phosphatidylcholine (PC)16:0/22:6 was inversely and independently associated with rapid eGFR decline. When examined by lipid class, rapid eGFR decline was characterized by higher abundance of unsaturated FFAs, phosphatidylethanolamine (PE)-Ps, and PCs with an unsaturated acyl chain at the sn1 carbon, and by lower abundance of saturated FFAs, longer triacylglycerols, and PCs, PEs, PE-Ps, and PE-Os with an unsaturated acyl chain at the sn1 carbon at eGFR ≥90 mL/min/1.73 m2. A multilipid panel consisting of unsaturated FFAs and saturated PE-Ps predicted rapid eGFR decline better than individual lipids (C-statistic, 0.71) and improved the C-statistic of the clinical model from 0.816 to 0.841 (P = 0.039). Observations were confirmed in the validation subset. CONCLUSIONS Distinct from previously reported predictors of GFR decline in type 2 diabetes, these findings suggest differential incorporation of FFAs at the sn1 carbon of the phospholipids' glycerol backbone as an independent predictor of rapid GFR decline in T1D.
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Affiliation(s)
- Farsad Afshinnia
- Department of Internal Medicine-Nephrology, University of Michigan, Ann Arbor, MI
| | - Thekkelnaycke M Rajendiran
- Michigan Regional Comprehensive Metabolomics Resource Core, University of Michigan, Ann Arbor, MI.,Department of Pathology, University of Michigan, Ann Arbor, MI
| | - Chenchen He
- Department of Internal Medicine-Nephrology, University of Michigan, Ann Arbor, MI
| | - Jaeman Byun
- Department of Internal Medicine-Nephrology, University of Michigan, Ann Arbor, MI
| | - Daniel Montemayor
- Division of Nephrology, University of Texas Health Science Center San Antonio, San Antonio, TX.,Center for Renal Precision Medicine, Division of Nephrology, Department of Medicine, University of Texas Health Science Center San Antonio, San Antonio, TX
| | - Manjula Darshi
- Division of Nephrology, University of Texas Health Science Center San Antonio, San Antonio, TX.,Center for Renal Precision Medicine, Division of Nephrology, Department of Medicine, University of Texas Health Science Center San Antonio, San Antonio, TX
| | - Jana Tumova
- Division of Nephrology, University of Texas Health Science Center San Antonio, San Antonio, TX.,Center for Renal Precision Medicine, Division of Nephrology, Department of Medicine, University of Texas Health Science Center San Antonio, San Antonio, TX
| | - Jiwan Kim
- Division of Nephrology, University of Texas Health Science Center San Antonio, San Antonio, TX.,Center for Renal Precision Medicine, Division of Nephrology, Department of Medicine, University of Texas Health Science Center San Antonio, San Antonio, TX
| | - Christine P Limonte
- Division of Nephrology, Department of Medicine, University of Washington, Seattle, WA.,Kidney Research Institute, University of Washington, Seattle, WA
| | - Rachel G Miller
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA
| | - Tina Costacou
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA
| | - Trevor J Orchard
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA
| | - Tarunveer S Ahluwalia
- Steno Diabetes Center Copenhagen, Copenhagen, Denmark.,Department of Biology, The Bioinformatics Center, University of Copenhagen, Copenhagen, Denmark
| | - Peter Rossing
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark.,Barbara Davis Center for Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO
| | - Janet K Snell-Bergeon
- Barbara Davis Center for Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO
| | - Ian H de Boer
- Division of Nephrology, Department of Medicine, University of Washington, Seattle, WA.,Kidney Research Institute, University of Washington, Seattle, WA.,Puget Sound Veterans Affairs Healthcare System, Seattle, WA
| | - Loki Natarajan
- Division of Biostatistics and Bioinformatics, Herbert Wertheim School of Public Health and Human Longevity Science and Moores Cancer Center, University of California San Diego, La Jolla, CA
| | - George Michailidis
- Department of Statistics and the Informatics Institute, University of Florida, Gainesville, FL
| | - Kumar Sharma
- Division of Nephrology, University of Texas Health Science Center San Antonio, San Antonio, TX .,Center for Renal Precision Medicine, Division of Nephrology, Department of Medicine, University of Texas Health Science Center San Antonio, San Antonio, TX
| | - Subramaniam Pennathur
- Department of Internal Medicine-Nephrology, University of Michigan, Ann Arbor, MI .,Michigan Regional Comprehensive Metabolomics Resource Core, University of Michigan, Ann Arbor, MI.,Department of Molecular and Integrative Physiology, University of Michigan, Ann Arbor, MI
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12
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Hannan M, Ansari S, Meza N, Anderson AH, Srivastava A, Waikar S, Charleston J, Weir MR, Taliercio J, Horwitz E, Saunders MR, Wolfrum K, Feldman HI, Lash JP, Ricardo AC. Risk Factors for CKD Progression: Overview of Findings from the CRIC Study. Clin J Am Soc Nephrol 2021; 16:648-659. [PMID: 33177074 PMCID: PMC8092061 DOI: 10.2215/cjn.07830520] [Citation(s) in RCA: 63] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
The Chronic Renal Insufficiency Cohort (CRIC) Study is an ongoing, multicenter, longitudinal study of nearly 5500 adults with CKD in the United States. Over the past 10 years, the CRIC Study has made significant contributions to the understanding of factors associated with CKD progression. This review summarizes findings from longitudinal studies evaluating risk factors associated with CKD progression in the CRIC Study, grouped into the following six thematic categories: (1) sociodemographic and economic (sex, race/ethnicity, and nephrology care); (2) behavioral (healthy lifestyle, diet, and sleep); (3) genetic (apoL1, genome-wide association study, and renin-angiotensin-aldosterone system pathway genes); (4) cardiovascular (atrial fibrillation, hypertension, and vascular stiffness); (5) metabolic (fibroblast growth factor 23 and urinary oxalate); and (6) novel factors (AKI and biomarkers of kidney injury). Additionally, we highlight areas where future research is needed, and opportunities for interdisciplinary collaboration.
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Affiliation(s)
- Mary Hannan
- Department of Medicine, University of Illinois, Chicago, Illinois
| | - Sajid Ansari
- Department of Medicine, University of Illinois, Chicago, Illinois
| | - Natalie Meza
- Department of Medicine, University of Illinois, Chicago, Illinois
| | - Amanda H. Anderson
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, Louisiana
| | - Anand Srivastava
- Center for Translational Metabolism and Health, Institute for Public Health and Medicine, Division of Nephrology and Hypertension, Feinberg School of Medicine, Northwestern University, Chicago, Illinois
| | - Sushrut Waikar
- Nephrology Section, Boston University Medical Center, Boston, Massachusetts
| | - Jeanne Charleston
- Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Matthew R. Weir
- Division of Nephrology, Department of Medicine, University of Maryland, Baltimore, Maryland
| | - Jonathan Taliercio
- Department of Nephrology and Hypertension, Cleveland Clinic, Cleveland, Ohio
| | | | - Milda R. Saunders
- Department of Medicine, The University of Chicago, Chicago, Illinois
| | - Katherine Wolfrum
- Department of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania
| | - Harold I. Feldman
- Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania
| | - James P. Lash
- Department of Medicine, University of Illinois, Chicago, Illinois
| | - Ana C. Ricardo
- Department of Medicine, University of Illinois, Chicago, Illinois
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13
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Lee FY, Islahudin F, Ali Nasiruddin AY, Abdul Gafor AH, Wong HS, Bavanandan S, Mohd Saffian S, Md Redzuan A, Mohd Tahir NA, Makmor-Bakry M. Effects of CYP3A5 Polymorphism on Rapid Progression of Chronic Kidney Disease: A Prospective, Multicentre Study. J Pers Med 2021; 11:252. [PMID: 33808503 PMCID: PMC8066991 DOI: 10.3390/jpm11040252] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2021] [Revised: 03/26/2021] [Accepted: 03/26/2021] [Indexed: 12/26/2022] Open
Abstract
Personalised medicine is potentially useful to delay the progression of chronic kidney disease (CKD). The aim of this study was to determine the effects of CYP3A5 polymorphism in rapid CKD progression. This multicentre, observational, prospective cohort study was performed among adult CKD patients (≥18 years) with estimated glomerular filtration rate (eGFR) ≥30 mL/min/1.73 m2, who had ≥4 outpatient, non-emergency eGFR values during the three-year study period. The blood samples collected were analysed for CYP3A5*3 polymorphism. Rapid CKD progression was defined as eGFR decline of >5 mL/min/1.73 m2/year. Multiple logistic regression was then performed to identify the factors associated with rapid CKD progression. A total of 124 subjects consented to participate. The distribution of the genotypes adhered to the Hardy-Weinberg equilibrium (X2 = 0.237, p = 0.626). After adjusting for potential confounding factors via multiple logistic regression, the factors associated with rapid CKD progression were CYP3A5*3/*3 polymorphism (adjusted Odds Ratio [aOR] 4.190, 95% confidence interval [CI]: 1.268, 13.852), adjustments to antihypertensives, young age, dyslipidaemia, smoking and use of traditional/complementary medicine. CKD patients should be monitored closely for possible factors associated with rapid CKD progression to optimise clinical outcomes. The CYP3A5*3/*3 genotype could potentially be screened among CKD patients to offer more individualised management among these patients.
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Affiliation(s)
- Fei Yee Lee
- Centre for Quality Management of Medicines, Faculty of Pharmacy, Universiti Kebangsaan Malaysia, Kuala Lumpur 50300, Malaysia; (F.Y.L.); (A.Y.A.N.); (S.M.S.); (A.M.R.); (N.A.M.T.); (M.M.-B.)
- Clinical Research Centre, Hospital Selayang, Ministry of Health Malaysia, Batu Caves, Selangor 60800, Malaysia;
| | - Farida Islahudin
- Centre for Quality Management of Medicines, Faculty of Pharmacy, Universiti Kebangsaan Malaysia, Kuala Lumpur 50300, Malaysia; (F.Y.L.); (A.Y.A.N.); (S.M.S.); (A.M.R.); (N.A.M.T.); (M.M.-B.)
| | - Aina Yazrin Ali Nasiruddin
- Centre for Quality Management of Medicines, Faculty of Pharmacy, Universiti Kebangsaan Malaysia, Kuala Lumpur 50300, Malaysia; (F.Y.L.); (A.Y.A.N.); (S.M.S.); (A.M.R.); (N.A.M.T.); (M.M.-B.)
- Faculty of Pharmacy, University of Cyberjaya, Cyberjaya 63000, Malaysia
| | - Abdul Halim Abdul Gafor
- Nephrology Unit, Department of Medicine, Universiti Kebangsaan Malaysia Medical Centre, Kuala Lumpur 56000, Malaysia;
| | - Hin-Seng Wong
- Clinical Research Centre, Hospital Selayang, Ministry of Health Malaysia, Batu Caves, Selangor 60800, Malaysia;
- Nephrology Department, Hospital Selayang, Ministry of Health Malaysia, Batu Caves, Selangor 60800, Malaysia
| | - Sunita Bavanandan
- Nephrology Department, Hospital Kuala Lumpur, Ministry of Health Malaysia, Kuala Lumpur 50586, Malaysia;
| | - Shamin Mohd Saffian
- Centre for Quality Management of Medicines, Faculty of Pharmacy, Universiti Kebangsaan Malaysia, Kuala Lumpur 50300, Malaysia; (F.Y.L.); (A.Y.A.N.); (S.M.S.); (A.M.R.); (N.A.M.T.); (M.M.-B.)
| | - Adyani Md Redzuan
- Centre for Quality Management of Medicines, Faculty of Pharmacy, Universiti Kebangsaan Malaysia, Kuala Lumpur 50300, Malaysia; (F.Y.L.); (A.Y.A.N.); (S.M.S.); (A.M.R.); (N.A.M.T.); (M.M.-B.)
| | - Nurul Ain Mohd Tahir
- Centre for Quality Management of Medicines, Faculty of Pharmacy, Universiti Kebangsaan Malaysia, Kuala Lumpur 50300, Malaysia; (F.Y.L.); (A.Y.A.N.); (S.M.S.); (A.M.R.); (N.A.M.T.); (M.M.-B.)
| | - Mohd Makmor-Bakry
- Centre for Quality Management of Medicines, Faculty of Pharmacy, Universiti Kebangsaan Malaysia, Kuala Lumpur 50300, Malaysia; (F.Y.L.); (A.Y.A.N.); (S.M.S.); (A.M.R.); (N.A.M.T.); (M.M.-B.)
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14
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Aung MT, Yu Y, Ferguson KK, Cantonwine DE, Zeng L, McElrath TF, Pennathur S, Mukherjee B, Meeker JD. Cross-Sectional Estimation of Endogenous Biomarker Associations with Prenatal Phenols, Phthalates, Metals, and Polycyclic Aromatic Hydrocarbons in Single-Pollutant and Mixtures Analysis Approaches. ENVIRONMENTAL HEALTH PERSPECTIVES 2021; 129:37007. [PMID: 33761273 PMCID: PMC7990518 DOI: 10.1289/ehp7396] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/06/2023]
Abstract
BACKGROUND Humans are exposed to mixtures of toxicants that can impact several biological pathways. We investigated the associations between multiple classes of toxicants and an extensive panel of biomarkers indicative of lipid metabolism, inflammation, oxidative stress, and angiogenesis. METHODS We conducted a cross-sectional study of 173 participants (median 26 wk gestation) from the LIFECODES birth cohort. We measured exposure analytes of multiple toxicant classes [metals, phthalates, phenols, and polycyclic aromatic hydrocarbons (PAHs)] in urine samples. We also measured endogenous biomarkers (eicosanoids, cytokines, angiogenic markers, and oxidative stress markers) in either plasma or urine. We estimated pair-wise associations between exposure analytes and endogenous biomarkers using multiple linear regression after adjusting for covariates. We used adaptive elastic net regression, hierarchical Bayesian kernel machine regression, and sparse-group LASSO regression to evaluate toxicant mixtures associated with individual endogenous biomarkers. RESULTS After false-discovery adjustment (q<0.2), single-pollutant models yielded 19 endogenous biomarker signals associated with phthalates, 13 with phenols, 17 with PAHs, and 18 with trace metals. Notably, adaptive elastic net revealed that phthalate metabolites were selected for several positive signals with the cyclooxygenase (n=7), cytochrome p450 (n=7), and lipoxygenase (n=8) pathways. Conversely, the toxicant classes that exhibited the greatest number of negative signals overall in adaptive elastic net were phenols (n=20) and metals (n=21). DISCUSSION This study characterizes cross-sectional endogenous biomarker signatures associated with individual and mixtures of prenatal toxicant exposures. These results can help inform the prioritization of specific pairs or clusters of endogenous biomarkers and exposure analytes for investigating health outcomes. https://doi.org/10.1289/EHP7396.
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Affiliation(s)
- Max T. Aung
- Department of Biostatistics, University of Michigan (U-M) School of Public Health, Ann Arbor, Michigan, USA
| | - Youfei Yu
- Department of Biostatistics, University of Michigan (U-M) School of Public Health, Ann Arbor, Michigan, USA
| | - Kelly K. Ferguson
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, North Carolina, USA
| | - David E. Cantonwine
- Division of Maternal and Fetal Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Lixia Zeng
- Department of Internal Medicine-Nephrology, U-M, Ann Arbor, Michigan, USA
| | - Thomas F. McElrath
- Division of Maternal and Fetal Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Subramaniam Pennathur
- Department of Internal Medicine-Nephrology, U-M, Ann Arbor, Michigan, USA
- Michigan Regional Comprehensive Metabolomics Resource Core, U-M, Ann Arbor, Michigan, USA
- Department of Molecular and Integrative Physiology, U-M, Ann Arbor, Michigan, USA
| | - Bhramar Mukherjee
- Department of Biostatistics, University of Michigan (U-M) School of Public Health, Ann Arbor, Michigan, USA
- Department of Epidemiology, U-M School of Public Health, Ann Arbor, Michigan, USA
| | - John D. Meeker
- Department of Environmental Health Sciences, U-M School of Public Health, Ann Arbor, Michigan, USA
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15
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The Dysregulation of Eicosanoids and Bile Acids Correlates with Impaired Kidney Function and Renal Fibrosis in Chronic Renal Failure. Metabolites 2021; 11:metabo11020127. [PMID: 33672315 PMCID: PMC7926759 DOI: 10.3390/metabo11020127] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2020] [Revised: 02/05/2021] [Accepted: 02/11/2021] [Indexed: 02/08/2023] Open
Abstract
Chronic renal failure (CRF) is an irreversible deterioration of the renal functions that characterized by fluid electrolyte unbalance and metabolic-endocrine dysfunctions. Increasing evidence demonstrated that metabolic disturbances, especially dyslipidemia and profound changes in lipid and lipoprotein metabolism were involved in CRF. Identification of lipids associated with impaired kidney functions may play important roles in the understanding of biochemical mechanism and CRF treatment. Ultra-performance liquid chromatography coupled with high-definition mass spectrometry-based lipidomics was performed to identify important differential lipids in adenine-induced CRF rats and investigate the undergoing anti-fibrotic mechanism of Polyporus umbellatus (PPU) and ergone (ERG). Linear correlation analysis was performed between lipid species intensities and creatinine levels in serum. Adenine-induced rats exhibited declining kidney function and renal fibrosis. Compared with control rats, a panel of lipid species was identified in the serum of CRF rats. Our further study demonstrated that eight lipids, including leukotrienes and bile acids, presented a strong linear correlation with serum creatinine levels. In addition, receiver operating characteristics analysis showed that eight lipids exhibited excellent area under the curve for differentiating CRF from control rats, with high sensitivity and specificity. The aberrant changes of clinical biochemistry data and dysregulation of eight lipids could be significantly improved by the administration of PPU and ergone. In conclusion, CRF might be associated with the disturbance of leukotriene metabolism, bile acid metabolism and lysophospholipid metabolism. The levels of eicosanoids and bile acids could be used for indicating kidney function impairment in CRF. PPU could improve renal functions and either fully or partially reversed the levels of eicosanoids and bile acids.
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16
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Aung MT, Song Y, Ferguson KK, Cantonwine DE, Zeng L, McElrath TF, Pennathur S, Meeker JD, Mukherjee B. Application of an analytical framework for multivariate mediation analysis of environmental data. Nat Commun 2020; 11:5624. [PMID: 33159049 PMCID: PMC7648785 DOI: 10.1038/s41467-020-19335-2] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2020] [Accepted: 09/29/2020] [Indexed: 01/08/2023] Open
Abstract
Diverse toxicological mechanisms may mediate the impact of environmental toxicants (phthalates, phenols, polycyclic aromatic hydrocarbons, and metals) on pregnancy outcomes. In this study, we introduce an analytical framework for multivariate mediation analysis to identify mediation pathways (q = 61 mediators) in the relationship between environmental toxicants (p = 38 analytes) and gestational age at delivery. Our analytical framework includes: (1) conducting pairwise mediation for unique exposure-mediator combinations, (2) exposure dimension reduction by estimating environmental risk scores, and (3) multivariate mediator analysis using either Bayesian shrinkage mediation analysis, population value decomposition, or mediation pathway penalization. Dimension reduction demonstrates that a one-unit increase in phthalate risk score is associated with a total effect of 1.07 lower gestational age (in weeks) at delivery (95% confidence interval: 0.48-1.67) and eicosanoids from the cytochrome p450 pathway mediated 26% of this effect (95% confidence interval: 4-63%). Eicosanoid products derived from the cytochrome p450 pathway may be important mediators of phthalate toxicity.
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Affiliation(s)
- Max T Aung
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, US
| | - Yanyi Song
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, US
| | - Kelly K Ferguson
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC, Chapel Hill, US
| | - David E Cantonwine
- Division of Maternal and Fetal Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, US
| | - Lixia Zeng
- Department of Internal Medicine-Nephrology, University of Michigan, Ann Arbor, MI, US
| | - Thomas F McElrath
- Division of Maternal and Fetal Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, US
| | - Subramaniam Pennathur
- Department of Internal Medicine-Nephrology, University of Michigan, Ann Arbor, MI, US
- Michigan Regional Comprehensive Metabolomics Resource Core, University of Michigan, Ann Arbor, MI, US
- Department of Molecular and Integrative Physiology, University of Michigan, Ann Arbor, MI, US
| | - John D Meeker
- Department of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, MI, US
| | - Bhramar Mukherjee
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, US.
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, US.
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17
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Welch BM, Keil AP, van ‘t Erve TJ, Deterding LJ, Williams JG, Lih FB, Cantonwine DE, McElrath TF, Ferguson KK. Longitudinal profiles of plasma eicosanoids during pregnancy and size for gestational age at delivery: A nested case-control study. PLoS Med 2020; 17:e1003271. [PMID: 32797061 PMCID: PMC7428021 DOI: 10.1371/journal.pmed.1003271] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/20/2020] [Accepted: 07/20/2020] [Indexed: 02/02/2023] Open
Abstract
BACKGROUND Inflammation during pregnancy is hypothesized to influence fetal growth. Eicosanoids, an important class of lipid mediators derived from polyunsaturated fatty acids, can act as both direct influences and biomarkers of inflammation through a variety of biological pathways. However, quantifying these distinct inflammatory pathways has proven difficult. We aimed to characterize a comprehensive panel of plasma eicosanoids longitudinally across gestation in pregnant women and to determine whether levels differed by infant size at delivery. METHODS AND FINDINGS Our data come from a case-control study of 90 pregnant women nested within the LIFECODES prospective birth cohort study conducted at Brigham and Women's Hospital in Boston, Massachusetts. This study included 31 women who delivered small for gestational age (SGA) babies (SGA, ≤10th percentile), 28 who delivered large for gestational age (LGA) babies (≥90th percentile), and 31 who delivered appropriate for gestational age (AGA) babies (controls, >10th to <90th percentile). All deliveries occurred between 2010 and 2017. Most participants were in their early 30s (median age: 33 years), of white (60%) or black (20%) race/ethnicity, and of normal pre-pregnancy BMI (median BMI: 23.5 kg/m2). Women provided non-fasting plasma samples during 3 prenatal study visits (at median 11, 25, and 35 weeks gestation) and were analyzed for a panel of eicosanoids. Eicosanoids were grouped by biosynthetic pathway, defined by (1) the fatty acid precursor, including linoleic acid (LA), arachidonic acid (AA), docosahexaenoic acid (DHA), or eicosapentaenoic acid (EPA), and (2) the enzyme group, including cyclooxygenase (COX), lipoxygenase (LOX), or cytochrome P450 (CYP). Additionally, the concentrations of the 4 fatty acids (LA, AA, DHA, and EPA) were measured in maternal plasma. Analytes represent lipids from non-esterified plasma. We examined correlations among eicosanoids and trajectories across pregnancy. Differences in longitudinal concentrations between case groups were examined using Bayesian linear mixed effects models, which included participant-specific random intercepts and penalized splines on gestational age. Results showed maternal plasma levels of eicosanoids and fatty acids generally followed U-shaped curve patterns across gestation. Bayesian models showed that associations between eicosanoids and case status varied by biosynthetic pathway. Eicosanoids derived from AA via the CYP and LOX biosynthetic pathways were positively associated with SGA. The adjusted mean concentration of 12-HETE, a LOX pathway product, was 56.2% higher (95% credible interval 6.6%, 119.1%) among SGA cases compared to AGA controls. Eicosanoid associations with LGA were mostly null, but negative associations were observed with eicosanoids derived from AA by LOX enzymes. The fatty acid precursors had estimated mean concentrations 41%-97% higher among SGA cases and 33%-39% lower among LGA cases compared to controls. Primary limitations of the study included the inability to explore the potential periods of susceptibility of eicosanoids on infant size due to limited sample size, along with the use of infant size at delivery instead of longitudinal ultrasound measures to estimate fetal growth. CONCLUSIONS In this nested case-control study, we found that eicosanoids and fatty acids systematically change in maternal plasma over pregnancy. Eicosanoids from specific inflammation-related pathways were higher in mothers of SGA cases and mostly similar in mothers of LGA cases compared to controls. These findings can provide deeper insight into etiologic mechanisms of abnormal fetal growth outcomes.
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Affiliation(s)
- Barrett M. Welch
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle, North Carolina, United States of America
| | - Alexander P. Keil
- Department of Epidemiology, University of North Carolina, Chapel Hill, North Carolina, United States of America
| | - Thomas J. van ‘t Erve
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle, North Carolina, United States of America
| | - Leesa J. Deterding
- Mass Spectrometry Research and Support Group, National Institute of Environmental Health Sciences, Research Triangle, North Carolina, United States of America
| | - Jason G. Williams
- Mass Spectrometry Research and Support Group, National Institute of Environmental Health Sciences, Research Triangle, North Carolina, United States of America
| | - Fred B. Lih
- Mass Spectrometry Research and Support Group, National Institute of Environmental Health Sciences, Research Triangle, North Carolina, United States of America
| | - David E. Cantonwine
- Division of Maternal-Fetal Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Thomas F. McElrath
- Division of Maternal-Fetal Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Kelly K. Ferguson
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle, North Carolina, United States of America
- * E-mail:
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18
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Gollasch B, Wu G, Dogan I, Rothe M, Gollasch M, Luft FC. Effects of hemodialysis on plasma oxylipins. Physiol Rep 2020; 8:e14447. [PMID: 32562348 PMCID: PMC7305238 DOI: 10.14814/phy2.14447] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2020] [Revised: 04/04/2020] [Accepted: 04/24/2020] [Indexed: 12/17/2022] Open
Abstract
Chronic kidney disease (CKD) is an important risk factor for cardiovascular and all‐cause mortality. Survival rates among end‐stage renal disease (ESRD) hemodialysis patients are poor and most deaths are related to cardiovascular disease. Oxylipins constitute a family of oxygenated natural products, formed from fatty acid by pathways involving at least one step of dioxygen‐dependent oxidation. They are derived from polyunsaturated fatty acids (PUFAs) by cyclooxygenase (COX) enzymes, by lipoxygenases (LOX) enzymes, or by cytochrome P450 epoxygenase. Oxylipins have physiological significance and some could be of regulatory importance. The effects of decreased renal function and dialysis treatment on oxylipin metabolism are unknown. We studied 15 healthy persons and 15 CKD patients undergoing regular hemodialysis treatments and measured oxylipins (HPLC‐MS lipidomics) derived from cytochrome P450 (CYP) monooxygenase and lipoxygenase (LOX)/CYP ω/(ω‐1)‐hydroxylase pathways in circulating blood. We found that all four subclasses of CYP epoxy metabolites were increased after the dialysis treatment. Rather than resulting from altered soluble epoxide hydrolase (sEH) activity, the oxylipins were released and accumulated in the circulation. Furthermore, hemodialysis did not change the majority of LOX/CYP ω/(ω‐1)‐hydroxylase metabolites. Our data support the idea that oxylipin profiles discriminate ESRD patients from normal controls and are influenced by renal replacement therapies.
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Affiliation(s)
- Benjamin Gollasch
- Experimental and Clinical Research Center (ECRC), a joint institution between the Charité University Medicine and Max Delbrück Center (MDC) for Molecular Medicine, Berlin-Buch, Germany.,HELIOS Klinikum Berlin-Buch, Berlin, Germany
| | - Guanlin Wu
- Experimental and Clinical Research Center (ECRC), a joint institution between the Charité University Medicine and Max Delbrück Center (MDC) for Molecular Medicine, Berlin-Buch, Germany.,Max Delbrück Center for Molecular Medicine (MDC) in the Helmholtz Association, Berlin, Germany
| | | | | | - Maik Gollasch
- Experimental and Clinical Research Center (ECRC), a joint institution between the Charité University Medicine and Max Delbrück Center (MDC) for Molecular Medicine, Berlin-Buch, Germany.,Department of Geriatrics, University of Greifswald, University District Hospital Wolgast, Greifswald, Germany
| | - Friedrich C Luft
- Experimental and Clinical Research Center (ECRC), a joint institution between the Charité University Medicine and Max Delbrück Center (MDC) for Molecular Medicine, Berlin-Buch, Germany
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19
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Aung MT, Yu Y, Ferguson KK, Cantonwine DE, Zeng L, McElrath TF, Pennathur S, Mukherjee B, Meeker JD. Prediction and associations of preterm birth and its subtypes with eicosanoid enzymatic pathways and inflammatory markers. Sci Rep 2019; 9:17049. [PMID: 31745121 PMCID: PMC6863859 DOI: 10.1038/s41598-019-53448-z] [Citation(s) in RCA: 42] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2019] [Accepted: 11/01/2019] [Indexed: 12/26/2022] Open
Abstract
Endogenous signaling molecules derived from lipids, peptides, and DNA, are important regulators of physiological processes during pregnancy. The effect of their collective impact on preterm birth (delivery < 37 weeks gestation) is understudied. We aimed to characterize the associations and predictive capacity of an extensive panel of eicosanoids, immune biomarkers, oxidative stress markers, and growth factors towards preterm birth and its subtypes. We conducted a cross-sectional study of pregnant women (recruited < 15 weeks gestation) in the LIFECODES birth cohort, which included 58 cases of preterm birth and 115 controls that delivered term. Among the cases there were 31 cases who had a spontaneous preterm birth (cases who had spontaneous preterm labor and/or preterm premature rupture of membranes) and 25 that had preterm birth associated with aberrant placentation (cases who had preeclampsia and/or intrauterine growth restriction) and 2 cases that could not be sufficiently categorized as either. We analyzed single biomarker associations with each preterm birth outcome using multiple logistic regression. Adaptive elastic-net was implemented to perform a penalized multiple logistic regression on all biomarkers simultaneously to identify the most predictive biomarkers. We then organized biomarkers into biological groups and by enzymatic pathways and applied adaptive elastic-net and random forest to evaluate the accuracy of each group for predicting preterm birth cases. The majority of associations we observed were for spontaneous preterm birth, and adaptive elastic-net identified 5-oxoeicosatetraenoic acid, resolvin D1, 5,6-epoxy-eicsatrienoic acid, and 15-deoxy-12,14-prostaglandin J2 as most predictive. Overall, lipid biomarkers performed the best at separating cases from controls compared to other biomarker categories (adaptive elastic-net AUC = 0.78 [0.62, 0.94], random forest AUC = 0.84 [0.72, 0.96]). Among the enzymatic pathways that differentiate eicosanoid metabolites, we observed the highest prediction of overall preterm birth by lipoxygenase metabolites using random forest (AUC = 0.83 [0.69, 0.96]), followed by cytochrome p450 metabolites using adaptive elastic-net (AUC = 0.74 [0.52, 0.96]). In this study we translate biological hypothesis into the language of modern machine learning. Many lipid biomarkers were highly associated with overall and spontaneous preterm birth. Among eicosanoids, lipoxygenase and cytochrome p450 products performed best in identifying overall and spontaneous preterm birth. The combination of lipid biomarkers may have good utility in clinical settings to predict preterm birth.
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Affiliation(s)
- Max T Aung
- Department of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Youfei Yu
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Kelly K Ferguson
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, Durham, NC, USA
| | - David E Cantonwine
- Division of Maternal and Fetal Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Lixia Zeng
- Department of Internal Medicine-Nephrology, University of Michigan, Ann Arbor, MI, USA
| | - Thomas F McElrath
- Division of Maternal and Fetal Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Subramaniam Pennathur
- Department of Internal Medicine-Nephrology, University of Michigan, Ann Arbor, MI, USA.,Michigan Regional Comprehensive Metabolomics Resource Core, University of Michigan, Ann Arbor, MI, USA.,Department of Molecular and Integrative Physiology, University of Michigan, Ann Arbor, MI, USA
| | - Bhramar Mukherjee
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA.,Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - John D Meeker
- Department of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA.
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20
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Declèves AE, Mathew AV, Armando AM, Han X, Dennis EA, Quehenberger O, Sharma K. AMP-activated protein kinase activation ameliorates eicosanoid dysregulation in high-fat-induced kidney disease in mice. J Lipid Res 2019; 60:937-952. [PMID: 30862696 PMCID: PMC6495162 DOI: 10.1194/jlr.m088690] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2018] [Revised: 02/28/2019] [Indexed: 12/15/2022] Open
Abstract
High-fat diet (HFD) causes renal lipotoxicity that is ameliorated with AMP-activated protein kinase (AMPK) activation. Although bioactive eicosanoids increase with HFD and are essential in regulation of renal disease, their role in the inflammatory response to HFD-induced kidney disease and their modulation by AMPK activation remain unexplored. In a mouse model, we explored the effects of HFD on eicosanoid synthesis and the role of AMPK activation in ameliorating these changes. We used targeted lipidomic profiling with quantitative MS to determine PUFA and eicosanoid content in kidneys, urine, and renal arterial and venous circulation. HFD increased phospholipase expression as well as the total and free pro-inflammatory arachidonic acid (AA) and anti-inflammatory DHA in kidneys. Consistent with the parent PUFA levels, the AA- and DHA-derived lipoxygenase (LOX), cytochrome P450, and nonenzymatic degradation (NE) metabolites increased in kidneys with HFD, while EPA-derived LOX and NE metabolites decreased. Conversely, treatment with 5-aminoimidazole-4-carboxamide-1-β-D-furanosyl 5'-monophosphate (AICAR), an AMPK activator, reduced the free AA and DHA content and the DHA-derived metabolites in kidney. Interestingly, kidney and circulating AA, AA metabolites, EPA-derived LOX, and NE metabolites are increased with HFD; whereas, DHA metabolites are increased in kidney in contrast to their decreased circulating levels with HFD. Together, these changes showcase HFD-induced pro- and anti-inflammatory eicosanoid dysregulation and highlight the role of AMPK in correcting HFD-induced dysregulated eicosanoid pathways.
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Affiliation(s)
- Anne-Emilie Declèves
- Institute of Metabolomic Medicine University of California, San Diego, La Jolla, CA; Laboratory of Metabolic and Molecular Biochemistry Faculty of Medicine, Université of Mons, Mons, Belgium.
| | - Anna V Mathew
- Division of Nephrology Department of Internal Medicine, University of Michigan, Ann Arbor, MI
| | - Aaron M Armando
- Departments of Pharmacology, University of California, San Diego, La Jolla, CA
| | - Xianlin Han
- Barshop Institute of Aging, Department of Medicine University of Texas Health San Antonio, San Antonio, TX
| | - Edward A Dennis
- Departments of Pharmacology, University of California, San Diego, La Jolla, CA; Chemistry and Biochemistry University of California, San Diego, La Jolla, CA
| | - Oswald Quehenberger
- Departments of Pharmacology, University of California, San Diego, La Jolla, CA; Medicine, University of California, San Diego, La Jolla, CA
| | - Kumar Sharma
- Institute of Metabolomic Medicine University of California, San Diego, La Jolla, CA; Center for Renal Precision Medicine, Division of Nephrology, Department of Medicine University of Texas Health San Antonio, San Antonio, TX
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