| Literature DB >> 32174249 |
Juyong Brian Kim1,2, Mary Prunicki3, Francois Haddad1,2, Christopher Dant3, Vanitha Sampath3, Rushali Patel3, Eric Smith3, Cezmi Akdis4, John Balmes5, Michael P Snyder6, Joseph C Wu2, Kari C Nadeau3.
Abstract
The disease burden associated with air pollution continues to grow. The World Health Organization (WHO) estimates ≈7 million people worldwide die yearly from exposure to polluted air, half of which-3.3 million-are attributable to cardiovascular disease (CVD), greater than from major modifiable CVD risks including smoking, hypertension, hyperlipidemia, and diabetes mellitus. This serious and growing health threat is attributed to increasing urbanization of the world's populations with consequent exposure to polluted air. Especially vulnerable are the elderly, patients with pre-existing CVD, and children. The cumulative lifetime burden in children is particularly of concern because their rapidly developing cardiopulmonary systems are more susceptible to damage and they spend more time outdoors and therefore inhale more pollutants. World Health Organization estimates that 93% of the world's children aged <15 years-1.8 billion children-breathe air that puts their health and development at risk. Here, we present growing scientific evidence, including from our own group, that chronic exposure to air pollution early in life is directly linked to development of major CVD risks, including obesity, hypertension, and metabolic disorders. In this review, we surveyed the literature for current knowledge of how pollution exposure early in life adversely impacts cardiovascular phenotypes, and lay the foundation for early intervention and other strategies that can help prevent this damage. We also discuss the need for better guidelines and additional research to validate exposure metrics and interventions that will ultimately help healthcare providers reduce the growing burden of CVD from pollution.Entities:
Keywords: air pollutants, environmental; cardiovascular abnormalities; cardiovascular disease; epithelial barrier
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Year: 2020 PMID: 32174249 PMCID: PMC7335506 DOI: 10.1161/JAHA.119.014944
Source DB: PubMed Journal: J Am Heart Assoc ISSN: 2047-9980 Impact factor: 5.501
Figure 1Proportion of children aged <5 years of age living in areas in which World Health Organization air quality guidelines (particulate matter <2.5 μm) are exceeded (by country, 2016).From World Health Organization report on air pollution.
CVD Risks From Pollution Exposure in Pregnant Women, Neonates, Children, and Adults
| Cardiovascular Risk | Timing of Exposure | Exposure | Effect | Reference |
|---|---|---|---|---|
| Hypertension | Neonatal | PM2.5 | Increased blood pressure in ages 3 to 9 y | Zhang M (2018) |
| Children 1 to 10 y; Adolescents 10 to 19 y | PM2.5 | Increased blood pressure | Zhang M (2019) | |
| Newborns | PM2.5 | Increased systolic blood pressure | Van Rossem L (2015) | |
| School children, 6 to 12 y | Ultrafine particles (<100 nm) | Increased systolic blood pressure | Pieters N (2015) | |
| 12 y | Long‐term exposure to NO2 and PM2.5 | Increased diastolic blood pressure | Bilenko N (2015) | |
| Women 18 to 84 y | PM2.5 | Increased blood pressure | Curto A (2019) | |
| adults | Pollution from cookstoves | Increased systolic pressure | Fedak KM (2019) | |
| Obesity | Pregnant women | Traffic‐related air pollution | Higher cord blood levels of leptin and high molecular weight adiponectin, adipokines associated with increased infant weight change in female infants. | Alderete TL (2018) |
| 5 to 14 y | Polycyclic aromatic hydrocarbons and fine PM | The prevalence of obesity was 20.6% at age 5 y and increased across follow‐ups until age 11 y when it was 33.0% | Rundle A (2019) | |
| 10 to 18 y | Traffic‐related pollution | Increased BMI, mostly in females at age 18 y | Jerrett M (2010) | |
| 5 to 7 y | Traffic‐related air pollution | A 13.6% increase in the rate of average annual BMI growth between the children exposed to the lowest to the highest tenth percentile of air pollution | Jerrett M (2014) | |
| Birth to 6 mo | Black carbon, PM2.5 | Infants exposed to higher traffic‐related pollution in early life may exhibit more rapid postnatal weight gain and reduced fetal growth in mothers exposed to PM2.5 | Fleisch AF (2015) | |
| Adults, meta‐analysis | Chemical pollutants (polychlorinated biphenyls, others) | Positive associations between pollutants and obesity | Wang Y (2016) | |
| Glucose metabolism abnormalities, Diabetes mellitus | Pregnant women | NO2, PM2.5 | Gestation diabetes mellitus in first and second trimester | Choe S (2019) |
| 8 to 18 y | Ambient and traffic‐related ambient pollution | Higher insulin resistance and secretion, which was observed in conjunction with higher glycemia | Toledo‐Corral C (2018) | |
| 6 to 13 y | Medium‐term exposure to ambient PM2.5 and PM10 | Higher fasting blood glucose levels | Cai L (2019) | |
| 5 y | Traffic‐related exposure to ozone and PM10. | Increased ozone exposure may be a contributory factor to the increased incidence of type 1 diabetes mellitus. PM10 may be associated with development of type 1 diabetes mellitus before 5 y of age | Hathout E (2002) | |
| 10 y | Traffic‐related air pollution | Insulin resistance increased by 17% for every 2 SD of increase in ambient PM and NO2 | Thiering E (2013) | |
| 12 to 19 y | Tobacco smoke | Environmental second‐hand tobacco smoke exposure was independently associated with the metabolic syndrome and type 2 diabetes mellitus | Weitzman M (2005) | |
| Dyslipidemia | 45 to 84 y | PM2.5 and black carbon exposure 2 wk, 3 mo, 1 mo | Air pollution is adversely associated with HDL | Bell G (2017) |
| 18 to 29 y (23±5 y) | PM2.5, black carbon, NO2, CO | High ambient air pollution concentrations associated with impairments in HDL functionality from systemic inflammation and oxidative stress | Li J (2019) | |
| Children and adults | PM10 | PM10 associated with elevated triglycerides, apolipoprotein B, and reduced HDL | Chuang K (2010) | |
| Adults | PM2.5 | Long‐term PM2.5 exposure associated with lipoprotein increases | McGuinn L (2019) | |
| Cardiac arrhythmias | Adults | Second‐hand smoke | Exposure during gestational development and during childhood was associated with having atrial fibrillation later in life | Dixit S (2016) |
| Adults | PM2.5 and PM10 | Increased risk of atrial fibrillation | Liu X (2018) | |
| Older adults (median 71 y) | PM2.5 and PM10 | In patients exposed to PM10 and PM2.5 followed for 1 y, ventricular tachycardia and ventricular fibrillation correlated significantly with PM2.5 but not PM10 | Folino F (2017) | |
| Young adults | Ultrafine particles (5–560 nm), black carbon, NO2 and CO, SO2, and O3 | Significant increases in QTc, indicating cardiac repolarization abnormalities particularly in males overweight/obese and with higher C‐reactive protein levels | Xu H (2019) | |
| Stroke | Post‐menopausal women | NO2 and NOx | In a large cohort of postmenopausal women, strong association between daily NO2 and NOx exposure and hemorrhagic stroke more pronounced among non‐obese participants | Sun S (2019) |
| Adults | PM2.5 and PM10, NO2, NOx, SO2, and O3 | Air pollutants are significantly associated with ischemic stroke mortality | Hong YC (2002) | |
| Adults | PM10, NO2, NOx, SO2, and O3 | All pollutants associated with primary intracerebral hemorrhage and ischemic stroke patients | Tsai SS (2003) | |
| Atherosclerosis | Adults | PM2.5 | In older men and women (>60 y), significant associations between PM2.5 and carotid thickness | Kunzil N (2005) |
| Adults 45 to 84 y | PM2.5 | Concentrations of PM2.5 and traffic‐related air pollution within metropolitan cities associated with coronary calcification, consistent with acceleration of atherosclerosis | Kaufman JD (2016) | |
| Adults | PM2.5 | PM2.5 exposure associated with increased likelihood of having mild and especially severe coronary atherosclerosis | Hartiala J (2016) | |
| Adults | PM2.5 | Exposure to higher concentrations of PM2.5 in ambient air was significantly associated with development of high‐risk coronary plaques | Yang S (2019) |
BMI indicates body mass index; HDL, high‐density lipoprotein; and PM, particulate matter.
Figure 2Potential therapeutic targets on the interleukin‐1 pathway.
IL indicates interleukin; IL1RAP, Interleukin‐1 receptor accessory protein; IL‐1R1, Interleukin 1 receptor, type I; IL‐1R2, Interleukin 1 receptor, type II; IRAK 1/2/4, interleukin‐1 receptor‐associated kinase 1, 2, 4; MyD88, Myeloid differentiation primary response 88; NF‐kB, Nuclear Factor kappa‐light‐chain‐enhancer of activated B cells; rh, recombinant human; rhIL‐1RA, recombinant human interleukin‐1 receptor antagonist; sIL‐1R, soluble type 1 interleukin‐1 receptor; and TRAF6, TNF receptor associated factor 6.
Figure 3Early intervention can improve cumulative lifetime risk of cardiovascular disease.CVD indicates cardiovascular disease.
Figure 4Combined population‐level and individual‐level approaches for reducing exposures to air pollution and reducing cardiovascular disease burden.CV indicates cardiovascular; and RCT indicates randomized clinical trial.