The association of long-term exposure to particulate matter air pollution with brain MRI findings

The ARIC study

Melinda C. Power, Archana P. Lamichhane, Duanping Liao, Xiaohui Xu, Clifford R. Jack, Rebecca F. Gottesman, Thomas Mosley, James D. Stewart, Jeffrey Yanosky, Eric A. Whitsel

Research output: Contribution to journalArticle

10 Citations (Scopus)

Abstract

BACKGROUND: Increasing evidence links higher particulate matter (PM) air pollution exposure to late-life cognitive impairment. However, few studies have considered associations between direct estimates of long-term past exposures and brain MRI findings indicative of neurodegeneration or cerebrovascular disease. OBJECTIVE: Our objective was to quantify the association between brain MRI findings and PM exposures approximately 5 to 20 y prior to MRI in the Atherosclerosis Risk in Communities (ARIC) study. METHODS: ARIC is based in four U.S. sites: Washington County, Maryland; Minneapolis suburbs, Minnesota; Forsyth County, North Carolina; and Jackson, Mississippi. A subset of ARIC participants underwent 3T brain MRI in 2011–2013 (n = 1,753). We estimated mean exposures to PM with an aerodynamic diameter less than 10 or 2.5 μm (PM10 and PM2.5) in 1990–1998, 1999–2007, and 1990–2007 at the residential addresses of eligible participants with MRI data. We estimated site-specific associations between PM and brain MRI findings and used random-effect, inverse variance– weighted meta-analysis to combine them. RESULTS: In pooled analyses, higher mean PM2.5 and PM10 exposure in all time periods were associated with smaller deep-gray brain volumes, but not other MRI markers. Higher PM2.5 exposures were consistently associated with smaller total and regional brain volumes in Minnesota, but not elsewhere. CONCLUSIONS: Long-term past PM exposure in was not associated with markers of cerebrovascular disease. Higher long-term past PM exposures were associated with smaller deep-gray volumes overall, and higher PM2.5 exposures were associated with smaller brain volumes in the Minnesota site. Further work is needed to understand the sources of heterogeneity across sites.

Original languageEnglish (US)
Article number027009
JournalEnvironmental health perspectives
Volume126
Issue number2
DOIs
StatePublished - Feb 1 2018

Fingerprint

Particulate Matter
Air Pollution
Atherosclerosis
Brain
Cerebrovascular Disorders
Mississippi
Meta-Analysis

All Science Journal Classification (ASJC) codes

  • Public Health, Environmental and Occupational Health
  • Health, Toxicology and Mutagenesis

Cite this

Power, Melinda C. ; Lamichhane, Archana P. ; Liao, Duanping ; Xu, Xiaohui ; Jack, Clifford R. ; Gottesman, Rebecca F. ; Mosley, Thomas ; Stewart, James D. ; Yanosky, Jeffrey ; Whitsel, Eric A. / The association of long-term exposure to particulate matter air pollution with brain MRI findings : The ARIC study. In: Environmental health perspectives. 2018 ; Vol. 126, No. 2.
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abstract = "BACKGROUND: Increasing evidence links higher particulate matter (PM) air pollution exposure to late-life cognitive impairment. However, few studies have considered associations between direct estimates of long-term past exposures and brain MRI findings indicative of neurodegeneration or cerebrovascular disease. OBJECTIVE: Our objective was to quantify the association between brain MRI findings and PM exposures approximately 5 to 20 y prior to MRI in the Atherosclerosis Risk in Communities (ARIC) study. METHODS: ARIC is based in four U.S. sites: Washington County, Maryland; Minneapolis suburbs, Minnesota; Forsyth County, North Carolina; and Jackson, Mississippi. A subset of ARIC participants underwent 3T brain MRI in 2011–2013 (n = 1,753). We estimated mean exposures to PM with an aerodynamic diameter less than 10 or 2.5 μm (PM10 and PM2.5) in 1990–1998, 1999–2007, and 1990–2007 at the residential addresses of eligible participants with MRI data. We estimated site-specific associations between PM and brain MRI findings and used random-effect, inverse variance– weighted meta-analysis to combine them. RESULTS: In pooled analyses, higher mean PM2.5 and PM10 exposure in all time periods were associated with smaller deep-gray brain volumes, but not other MRI markers. Higher PM2.5 exposures were consistently associated with smaller total and regional brain volumes in Minnesota, but not elsewhere. CONCLUSIONS: Long-term past PM exposure in was not associated with markers of cerebrovascular disease. Higher long-term past PM exposures were associated with smaller deep-gray volumes overall, and higher PM2.5 exposures were associated with smaller brain volumes in the Minnesota site. Further work is needed to understand the sources of heterogeneity across sites.",
author = "Power, {Melinda C.} and Lamichhane, {Archana P.} and Duanping Liao and Xiaohui Xu and Jack, {Clifford R.} and Gottesman, {Rebecca F.} and Thomas Mosley and Stewart, {James D.} and Jeffrey Yanosky and Whitsel, {Eric A.}",
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Power, MC, Lamichhane, AP, Liao, D, Xu, X, Jack, CR, Gottesman, RF, Mosley, T, Stewart, JD, Yanosky, J & Whitsel, EA 2018, 'The association of long-term exposure to particulate matter air pollution with brain MRI findings: The ARIC study', Environmental health perspectives, vol. 126, no. 2, 027009. https://doi.org/10.1289/EHP2152

The association of long-term exposure to particulate matter air pollution with brain MRI findings : The ARIC study. / Power, Melinda C.; Lamichhane, Archana P.; Liao, Duanping; Xu, Xiaohui; Jack, Clifford R.; Gottesman, Rebecca F.; Mosley, Thomas; Stewart, James D.; Yanosky, Jeffrey; Whitsel, Eric A.

In: Environmental health perspectives, Vol. 126, No. 2, 027009, 01.02.2018.

Research output: Contribution to journalArticle

TY - JOUR

T1 - The association of long-term exposure to particulate matter air pollution with brain MRI findings

T2 - The ARIC study

AU - Power, Melinda C.

AU - Lamichhane, Archana P.

AU - Liao, Duanping

AU - Xu, Xiaohui

AU - Jack, Clifford R.

AU - Gottesman, Rebecca F.

AU - Mosley, Thomas

AU - Stewart, James D.

AU - Yanosky, Jeffrey

AU - Whitsel, Eric A.

PY - 2018/2/1

Y1 - 2018/2/1

N2 - BACKGROUND: Increasing evidence links higher particulate matter (PM) air pollution exposure to late-life cognitive impairment. However, few studies have considered associations between direct estimates of long-term past exposures and brain MRI findings indicative of neurodegeneration or cerebrovascular disease. OBJECTIVE: Our objective was to quantify the association between brain MRI findings and PM exposures approximately 5 to 20 y prior to MRI in the Atherosclerosis Risk in Communities (ARIC) study. METHODS: ARIC is based in four U.S. sites: Washington County, Maryland; Minneapolis suburbs, Minnesota; Forsyth County, North Carolina; and Jackson, Mississippi. A subset of ARIC participants underwent 3T brain MRI in 2011–2013 (n = 1,753). We estimated mean exposures to PM with an aerodynamic diameter less than 10 or 2.5 μm (PM10 and PM2.5) in 1990–1998, 1999–2007, and 1990–2007 at the residential addresses of eligible participants with MRI data. We estimated site-specific associations between PM and brain MRI findings and used random-effect, inverse variance– weighted meta-analysis to combine them. RESULTS: In pooled analyses, higher mean PM2.5 and PM10 exposure in all time periods were associated with smaller deep-gray brain volumes, but not other MRI markers. Higher PM2.5 exposures were consistently associated with smaller total and regional brain volumes in Minnesota, but not elsewhere. CONCLUSIONS: Long-term past PM exposure in was not associated with markers of cerebrovascular disease. Higher long-term past PM exposures were associated with smaller deep-gray volumes overall, and higher PM2.5 exposures were associated with smaller brain volumes in the Minnesota site. Further work is needed to understand the sources of heterogeneity across sites.

AB - BACKGROUND: Increasing evidence links higher particulate matter (PM) air pollution exposure to late-life cognitive impairment. However, few studies have considered associations between direct estimates of long-term past exposures and brain MRI findings indicative of neurodegeneration or cerebrovascular disease. OBJECTIVE: Our objective was to quantify the association between brain MRI findings and PM exposures approximately 5 to 20 y prior to MRI in the Atherosclerosis Risk in Communities (ARIC) study. METHODS: ARIC is based in four U.S. sites: Washington County, Maryland; Minneapolis suburbs, Minnesota; Forsyth County, North Carolina; and Jackson, Mississippi. A subset of ARIC participants underwent 3T brain MRI in 2011–2013 (n = 1,753). We estimated mean exposures to PM with an aerodynamic diameter less than 10 or 2.5 μm (PM10 and PM2.5) in 1990–1998, 1999–2007, and 1990–2007 at the residential addresses of eligible participants with MRI data. We estimated site-specific associations between PM and brain MRI findings and used random-effect, inverse variance– weighted meta-analysis to combine them. RESULTS: In pooled analyses, higher mean PM2.5 and PM10 exposure in all time periods were associated with smaller deep-gray brain volumes, but not other MRI markers. Higher PM2.5 exposures were consistently associated with smaller total and regional brain volumes in Minnesota, but not elsewhere. CONCLUSIONS: Long-term past PM exposure in was not associated with markers of cerebrovascular disease. Higher long-term past PM exposures were associated with smaller deep-gray volumes overall, and higher PM2.5 exposures were associated with smaller brain volumes in the Minnesota site. Further work is needed to understand the sources of heterogeneity across sites.

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JO - Environmental Health Perspectives

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