Gaseous air pollutants and DNA methylation in a methylome-wide association study of an ethnically and environmentally diverse population of U.S. adults

Holliday, Katelyn M.; Gondalia, Rahul; Baldassari, Antoine; Justice, Anne E.; Stewart, James D.; Liao, Duanping; Yanosky, Jeff D.; Jordahl, Kristina M.; Bhatti, Parveen; Assimes, Themistocles L.; Pankow, James S.; Guan, Weihua; Fornage, Myriam; Bressler, Jan; North, Kari E.; Conneely, Karen N.; Li, Yun; Hou, Lifang; Vokonas, Pantel; Ward‐Caviness, Cavin; Wilson, Rory; Wolf, Kathrin; Waldenberger, Mélanie; Cyrys, Josef; Peters, Annette; Boezen, H. Marike; Vonk, Judith M.; Sayols-Baixeras, Sergi; Lee, Mi Kyeong; Baccarelli, Andrea A.; Whitsel, Eric A.

doi:10.1016/j.envres.2022.113360

Cited by 11 publications

(10 citation statements)

References 56 publications

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“…The PCR sequencing papers focused on candidate gene approaches (primarily for inflammatory and immune-related proteins, as well as genes related to circadian rhythm and epigenetic age) [38,47,116,117,120,140–147]. Analyses using arrays took advantage of the evolving technology to capture the most comprehensive set of biomarkers possible: one paper utilized a 385K array [43], 24 utilized a 450K array [39–42,44–46,48,50–55,57,62–64,148–153], and 12 utilized an 850K array [58–61,114,115,154–159]. Although we recommend the use of the most comprehensive technology available, the contribution of groundbreaking studies using older arrays to the current body of knowledge should not be understated [160,161].…”

Section: Resultsmentioning

confidence: 99%

“…The PCR sequencing papers focused on candidate gene approaches (primarily for inflammatory and immune-related proteins, as well as genes related to circadian rhythm and epigenetic age) [38,47,116,117,120,[140][141][142][143][144][145][146][147]. Analyses using arrays took advantage of the evolving technology to capture the most comprehensive set of biomarkers possible: one paper utilized a 385K array [43], 24 utilized a 450K array [39][40][41][42][44][45][46]48,[50][51][52][53][54][55]57,[62][63][64][148][149][150][151][152][153], and 12 utilized an 850K array [58][59][60][61]114,115,[154][155][156]…”

Section: Omics Assessmentmentioning

confidence: 99%

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Methylomic, proteomic, and metabolomic correlates of traffic-related air pollution: A systematic review, pathway analysis, and network analysis relating traffic-related air pollution to subclinical and clinical cardiorespiratory outcomes

Casella,

Kiles,

Urquhart

et al. 2023

Preprint

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A growing body of literature has attempted to characterize how traffic-related air pollution (TRAP) affects molecular and subclinical biological processes in ways that could lead to cardiorespiratory disease. To provide a streamlined synthesis of what is known about the multiple mechanisms through which TRAP could lead cardiorespiratory pathology, we conducted a systematic review of the epidemiological literature relating TRAP exposure to methylomic, proteomic, and metabolomic biomarkers in adult populations. Using the 139 papers that met our inclusion criteria, we identified the omic biomarkers significantly associated with short-or long-term TRAP and used these biomarkers to conduct pathway and network analyses. We considered the evidence for TRAP-related associations with biological pathways involving lipid metabolism, cellular energy production, amino acid metabolism, inflammation and immunity, coagulation, endothelial function, and oxidative stress. Our analysis suggests that an integrated multi-omics approach may provide critical new insights into the ways TRAP could lead to adverse clinical outcomes. We advocate for efforts to build a more unified approach for characterizing the dynamic and complex biological processes linking TRAP exposure and subclinical and clinical disease, and highlight contemporary challenges and opportunities associated with such efforts.

show abstract

Section: Resultsmentioning

confidence: 99%

“…The PCR sequencing papers focused on candidate gene approaches (primarily for inflammatory and immune-related proteins, as well as genes related to circadian rhythm and epigenetic age) [38,47,116,117,120,[140][141][142][143][144][145][146][147]. Analyses using arrays took advantage of the evolving technology to capture the most comprehensive set of biomarkers possible: one paper utilized a 385K array [43], 24 utilized a 450K array [39][40][41][42][44][45][46]48,[50][51][52][53][54][55]57,[62][63][64][148][149][150][151][152][153], and 12 utilized an 850K array [58][59][60][61]114,115,[154][155][156]…”

Section: Omics Assessmentmentioning

confidence: 99%

Methylomic, proteomic, and metabolomic correlates of traffic-related air pollution: A systematic review, pathway analysis, and network analysis relating traffic-related air pollution to subclinical and clinical cardiorespiratory outcomes

Casella,

Kiles,

Urquhart

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…The PCR sequencing papers focused on candidate gene approaches (primarily for inflammatory and immune-related proteins, as well as genes related to circadian rhythm and epigenetic age) [ 41 , 50 , 118 , 119 , 120 , 125 , 146 , 147 , 148 , 149 , 150 , 151 , 152 ]. Analyses using arrays took advantage of the evolving technology to capture the most comprehensive set of biomarkers possible: one paper utilized a 385 K array [ 46 ], twenty-four utilized a 450 K array [ 42 , 43 , 44 , 45 , 47 , 48 , 49 , 51 , 52 , 53 , 54 , 55 , 56 , 57 , 58 , 59 , 60 , 65 , 66 , 67 , 153 , 154 , 155 , 156 ], and twelve utilized an 850 K array [ 61 , 62 , 63 , 64 , 116 , 117 , 157 , 158 , 159 , 160 , 161 , …”

Section: Resultsmentioning

confidence: 99%

Methylomic, Proteomic, and Metabolomic Correlates of Traffic-Related Air Pollution in the Context of Cardiorespiratory Health: A Systematic Review, Pathway Analysis, and Network Analysis

Casella,

Kiles,

Urquhart

et al. 2023

Toxics

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A growing body of literature has attempted to characterize how traffic-related air pollution (TRAP) affects molecular and subclinical biological processes in ways that could lead to cardiorespiratory disease. To provide a streamlined synthesis of what is known about the multiple mechanisms through which TRAP could lead to cardiorespiratory pathology, we conducted a systematic review of the epidemiological literature relating TRAP exposure to methylomic, proteomic, and metabolomic biomarkers in adult populations. Using the 139 papers that met our inclusion criteria, we identified the omic biomarkers significantly associated with short- or long-term TRAP and used these biomarkers to conduct pathway and network analyses. We considered the evidence for TRAP-related associations with biological pathways involving lipid metabolism, cellular energy production, amino acid metabolism, inflammation and immunity, coagulation, endothelial function, and oxidative stress. Our analysis suggests that an integrated multi-omics approach may provide critical new insights into the ways TRAP could lead to adverse clinical outcomes. We advocate for efforts to build a more unified approach for characterizing the dynamic and complex biological processes linking TRAP exposure and subclinical and clinical disease and highlight contemporary challenges and opportunities associated with such efforts.

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“…Cross-validation for these models has been previously published. 24 Pollutant-, duration- and model-specific estimates were averaged over one, three, and five years before (and ending on) dates of BMD assessment. As most air pollution predictions were made in the 1990s, and the US EPA Federal Reference Method network for PM 2.5 was established in 1999, 25 this fraction was not included in the analysis.…”

Section: Methodsmentioning

confidence: 99%

Air pollution and decreased bone mineral density among Women's Health Initiative participants

Prada¹,

Crandall²,

Kupsco³

et al. 2023

eClinicalMedicine

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Gaseous air pollutants and DNA methylation in a methylome-wide association study of an ethnically and environmentally diverse population of U.S. adults

Cited by 11 publications

References 56 publications

Methylomic, proteomic, and metabolomic correlates of traffic-related air pollution: A systematic review, pathway analysis, and network analysis relating traffic-related air pollution to subclinical and clinical cardiorespiratory outcomes

Methylomic, proteomic, and metabolomic correlates of traffic-related air pollution: A systematic review, pathway analysis, and network analysis relating traffic-related air pollution to subclinical and clinical cardiorespiratory outcomes

Methylomic, Proteomic, and Metabolomic Correlates of Traffic-Related Air Pollution in the Context of Cardiorespiratory Health: A Systematic Review, Pathway Analysis, and Network Analysis

Air pollution and decreased bone mineral density among Women's Health Initiative participants

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