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

Cardiometabolic Immune response Inflammation Per- and polyfluoroalkyl substances (PFAS) Proteomics

Journal

Environment international
ISSN: 1873-6750
Titre abrégé: Environ Int
Pays: Netherlands
ID NLM: 7807270

Informations de publication

Date de publication:
23 Mar 2024
Historique:
received: 22 11 2023
revised: 20 03 2024
accepted: 22 03 2024
medline: 28 3 2024
pubmed: 28 3 2024
entrez: 27 3 2024
Statut: aheadofprint

Résumé

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

Sections du résumé

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

Identifiants

pubmed: 38537583
pii: S0160-4120(24)00187-9
doi: 10.1016/j.envint.2024.108601
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

108601

Informations de copyright

Copyright © 2024. Published by Elsevier Ltd.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Jiawen Carmen Chen (JC)

Department of Population and Public Health Sciences, University of Southern California Keck School of Medicine, Los Angeles, CA, United States. Electronic address: chenjiaw@usc.edu.

Jesse A Goodrich (JA)

Department of Population and Public Health Sciences, University of Southern California Keck School of Medicine, Los Angeles, CA, United States.

Douglas I Walker (DI)

Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, United States.

Jiawen Liao (J)

Department of Population and Public Health Sciences, University of Southern California Keck School of Medicine, Los Angeles, CA, United States.

Elizabeth Costello (E)

Department of Population and Public Health Sciences, University of Southern California Keck School of Medicine, Los Angeles, CA, United States.

Tanya L Alderete (TL)

Department of Integrative Physiology, University of Colorado Boulder, Boulder, CO, United States.

Damaskini Valvi (D)

Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, United States.

Hailey Hampson (H)

Department of Population and Public Health Sciences, University of Southern California Keck School of Medicine, Los Angeles, CA, United States.

Shiwen Li (S)

Department of Population and Public Health Sciences, University of Southern California Keck School of Medicine, Los Angeles, CA, United States.

Brittney O Baumert (BO)

Department of Population and Public Health Sciences, University of Southern California Keck School of Medicine, Los Angeles, CA, United States.

Sarah Rock (S)

Department of Population and Public Health Sciences, University of Southern California Keck School of Medicine, Los Angeles, CA, United States.

Dean P Jones (DP)

Clinical Biomarkers Laboratory, Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, Emory University, Atlanta, GA, United States.

Sandrah P Eckel (SP)

Department of Population and Public Health Sciences, University of Southern California Keck School of Medicine, Los Angeles, CA, United States.

Rob McConnell (R)

Department of Population and Public Health Sciences, University of Southern California Keck School of Medicine, Los Angeles, CA, United States.

Frank D Gilliland (FD)

Department of Population and Public Health Sciences, University of Southern California Keck School of Medicine, Los Angeles, CA, United States.

Max T Aung (MT)

Department of Population and Public Health Sciences, University of Southern California Keck School of Medicine, Los Angeles, CA, United States.

David V Conti (DV)

Department of Population and Public Health Sciences, University of Southern California Keck School of Medicine, Los Angeles, CA, United States.

Zhanghua Chen (Z)

Department of Population and Public Health Sciences, University of Southern California Keck School of Medicine, Los Angeles, CA, United States.

Lida Chatzi (L)

Department of Population and Public Health Sciences, University of Southern California Keck School of Medicine, Los Angeles, CA, United States.

Classifications MeSH