| Literature DB >> 35957086 |
Shaherin Basith1, Balachandran Manavalan2, Tae Hwan Shin1, Chan Bae Park1, Wang-Soo Lee3, Jaetaek Kim4, Gwang Lee1,5.
Abstract
Air pollution exerts several deleterious effects on the cardiovascular system, with cardiovascular disease (CVD) accounting for 80% of all premature deaths caused by air pollution. Short-term exposure to particulate matter 2.5 (PM2.5) leads to acute CVD-associated deaths and nonfatal events, whereas long-term exposure increases CVD-associated risk of death and reduces longevity. Here, we summarize published data illustrating how PM2.5 may impact the cardiovascular system to provide information on the mechanisms by which it may contribute to CVDs. We provide an overview of PM2.5, its associated health risks, global statistics, mechanistic underpinnings related to mitochondria, and hazardous biological effects. We elaborate on the association between PM2.5 exposure and CVD development and examine preventive PM2.5 exposure measures and future strategies for combating PM2.5-related adverse health effects. The insights gained can provide critical guidelines for preventing pollution-related CVDs through governmental, societal, and personal measures, thereby benefitting humanity and slowing climate change.Entities:
Keywords: air pollution; ambient; cardiovascular disease; cardiovascular system; exposure; mitigation; mitochondria; particulate matter
Year: 2022 PMID: 35957086 PMCID: PMC9370264 DOI: 10.3390/nano12152656
Source DB: PubMed Journal: Nanomaterials (Basel) ISSN: 2079-4991 Impact factor: 5.719
Figure 1Biological pathways associated with particulate matter (PM) and cardiovascular disease (CVD). Primary signaling pathways through which inhaled PM can induce the incidence of cardiovascular events, eventually leading to cardiovascular morbidity and mortality. Adapted from Ref. [5].
Key studies investigating the effects of PM2.5 on mitochondria in the cardiovascular system.
| Study | Study Model, Pollutant and Year Published | Main Findings |
|---|---|---|
| Aung et al. [ | In vitro model (human aortic endothelial cells (HAEC) exposed to both fine (PM1.8) and ultrafine particles (UFPs–PM0.1)), 2011 | Gene responses involved in xenobiotic and oxidoreductase activities, inflammatory pathways, and transcription factors were affected. |
| Hu et al. [ | In vitro model (HUVECs exposed to PM2.5), 2016 | Decreased cell viability, increased LDH activity, increased ROS and MDA productions, inhibition of SOD activity, and increased levels of proinflammatory cytokines, cell adhesion molecules, and tissue factor. Upregulation of IL-6 dependent JAK1/STAT3 pathway. |
| Montiel-Dávalos et al. [ | In vitro model (human umbilical vein endothelial cells (HUVEC) exposed to PM2.5), 2010 | Increased production of reactive oxygen species (ROS) and nitric oxide (NO), and increased translocation of nuclear factor-kappa B (NF-κB) leading to apoptosis. |
| Sivakumar et al. [ | In vitro model (H9c2 cardiomyocytes exposed to 100 µg/mL PM2.5), 2021 | Augmented mitochondrial dysfunction and inactivation of PI3K/Akt signaling pathway (mitotoxicity). |
| Sivakumar et al. [ | In vivo model (rat model of myocardial infarction (MI) exposed to PM2.5), 2022 | Lowers mitochondrial endurance during cardiac recovery. |
| Sun et al. [ | In vivo model (rats exposed to PM2.5 or filtered air for 10 weeks), 2008 | Increase in mitochondrial superoxide production mediated by activation of Rho/ROCK pathway. |
| Wittkopp et al. [ | Cohort study model (Elderly adults > 65 years with coronary artery disease—Measured hourly PM2.5), 2013 | Toxic effects of air pollutants depend on the mitochondrial haplotype. Haplogroup H are more sensitive to air pollutants than haplogroup U. |
Figure 2Short- and long-term effects of PM2.5 on human health. The inhalation of particulate matter (PM) can irritate the lining of the nasal cavity, thereby inducing runny nose and cough. Inhaled PM can also travel deep down the airways and enter the lungs, thus triggering inflammation and causing shortness of breath, as well as worsening preexisting respiratory diseases such as asthma and chronic obstructive pulmonary disease (COPD). The inflammation can also spread to other parts of the body, leading to the risk of cardiovascular diseases. Lung cancer-related deaths are also related to the adverse effects of PM.
Epidemiological studies published in the last five years (2017–2021) investigating the effects of PM2.5 on the cardiovascular system.
| Study and Year | Study Name | Study Period | Number of Participants | Age Range of Participants | Country, Region | PM2.5, μg/m3 (Mean or Range) | Outcome Types | |
|---|---|---|---|---|---|---|---|---|
| Short-term PM2.5 exposure studies | Achilleos et al. 2017 [ | Meta-analysis (Pubmed and Web of Science) | 1996–July 2015 | 3851 records | All ages | Europe, U.S., West Pacific, Canada, and South America | 10 | Mortality: Cardiovascular disease (CVD) (0.80% (95% CI: 0.41, 1.20%). |
| Newell et al. 2017 [ | Meta-analysis (PubMed, Web of Science, Embase, LILACS, Global Health, and Proquest) | Database inception–November 2016 | 85 records | ≥18 years | East Asia, Pacific region, Latin America, Caribbean, Europe, Central Asia, and (Middle East and North Africa) or Sub-Saharan Africa. | 10 | Mortality: CVD (0·47% (95% CI 0·34–0·61)). | |
| Chen et al. 2017 [ | China’s Disease Surveillance Points system (DSPS) | January 2013–December 2015 | 272 Chinese cities | >5 years | China | 10 | Mortality: CVD (0.27% (95% posterior interval (PI), 0.18–0.36)), coronary heart disease (0.30% (95% PI, 0.19–0.40)), Stroke: 0.23% (95% PI, 0.13–0.34), cardiopulmonary disease (CPD) (17.55 (95% PI, 12.25–22.86)). | |
| Zhao et al. 2017 [ | Meta-analysis (PubMed, and CNKI databases) | 2007–2017 | 30 records | All ages | China | 10 | Mortality: CVD (0.68%, 95% confidence interval (CI): 0.39–0.97%). | |
| Amsalu et al. 2019 [ | Beijing Public Health Information Center | January 2013–December 2017 | 460,938 admissions | 18–64 years and ≥65 years | China, Beijing | 10 | Mortality: CVD (0.30, 95% CI: 0.20, 0.39%), CHD (0.34, 95% CI: 0.22 to 0.45%), Atrial Fibrillation (AF) (0.29, 95% CI, 0.03 to 0.55%). | |
| Tian et al. 2019 [ | The urban employee basic medical insurance (UEBMI), urban resident basic medical insurance, and new rural cooperative medical scheme | January 2014–December 2017 | 8,834,533 hospital admissions | 18–64 years, 65–74 years, and ≥75 years | China | 10 | CVD (0.26% (95% CI 0.17% to 0.35%)), Ischaemic heart disease (IHD) (0.31% (0.22% to 0.40%)), heart failure (0.27% (0.04% to 0.51%)), heart rhythm disturbances (HRD) (0.29% (0.12% to 0.46%)), ischaemic stroke (IS) (0.29% (0.18% to 0.40%). | |
| Wyatt et al. 2020 [ | US Renal Data System | 2008–2014 | 361,568 patients | NA | U.S. | 10 | CVD (1.8%, 95% CI 0.4% to 3.2%), dysrhythmia, conduction disorder (4.8% (95% CI 2.3% to 7.4%)), and heart failure (3.7% (95% CI 1.4% to 6.0%). | |
| Qiu et al. 2020 [ | Victim -crossover study of US New England Medicare participants | 2000–2012 | 532,154 individuals | >64 years | U.S. New England- (states of Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, and Vermont) | 10 | CVD, acute myocardial infarction (AMI) (4.3% (95% CI: 2.2%, 6.4%)), and congestive heart failure (CHF) (3.9% (2.4%, 5.5%)), IS (2.6% (0.4%, 4.7%)). | |
| Dahlquist et al. 2020 [ | Victim-crossover study of Stockholm | 2012–2013 and 2016–2018 | 8899 individuals | 75 years | Sweden-Stockholm | 4.6 | Acute AF. | |
| Farhadi et al. 2020 [ | Meta-analysis (PubMed, Scopus, Web of Science, and Embase) | January 2000–January 2018 | 26 records | NA | NA | 10 | MI (relative risk (RR) = 1.02; 95% CI 1.01–1.03). | |
| Ren et al. 2020 [ | Victim-crossover study of Shenyang, China | January 2014–December 2017 | 157,144 patients | 0–30 years, 31–60 years, and >60 years | China-Shenyang Liaoning | 10 | CVD. | |
| Zhou et al. 2021 [ | Taiyuan Center for Disease Control and Prevention | January 2013–October 2015 | 50,782 | >65 years | China-Taiyuan | 10 | Mortality: CVD (0.51% (95% CI: 0.08, 0.94)), IHD (1.01% (95% CI: 0.53, 1.50)), MI (1.08% (95% CI: 0.34, 1.83)). | |
| Yue et al. 2021 [ | Meta-analysis (PubMed, Embase, the Cochrane library and Web of Science) | 2015–2020 | 18 records | <65 years and >65 years | China, Sweden, Korea, U.S., Italy, Canada, Iran, Israel, Denmark | 10 | AF (1.01(95% CI 1.00–1.02) and 1.07 (1.04–1.10)). | |
| Kuzma et al. 2021 [ | Victim-crossover study of Bialystok and Katowice in Poland, Europe | 2008–2017 | 9046 patients | 64–69 years | Europe-Poland | 10 | Incidence: STEMI (OR = 1.041, 95% CI = 1.020–1.073; P < 0.001, lag-1). | |
| Chen et al. 2021 [ | Meta-analysis (PubMed, Embase, and Web of Science) | 2006–2019 | 13 studies | <65 years and ≥65 years | North America, Europe, and Asia | 10 | AF (ER = 23.2%, 95% CI = −9.3–67.5), (ER = 0.6, 95% CI = −3.9–5.4), (ER = 2.3, 95% CI = 0.1–5.2). | |
| Long-term PM2.5 exposure studies | Badaloni et al. 2017 [ | Rome Longitudinal Study (RoLS) | October 2001–December 2010 | 1,249,108 individuals | 30–44 years, 45–54 years, 55–64 years, 65–74 years, and >75 years | Italy, Rome | 5 | Mortality: IHD, CVD (hazard ratio (HR) = 1.05; 95% CI: 1.02–1.08), (HR = 1.06; 95% CI: 1.01–1.11). |
| Jerrett et al. 2017 [ | American Cancer Society Cancer Prevention Study II (CPS-II) | 1982–2004 | 668,629 participants | ≥30 years | U.S., Washington, DC, and Puerto Rico | 10 | Mortality: IHD. | |
| Kim et al. 2017 [ | National Health Insurance Service–National Sample Cohort (NHIS-NSC) | 2007–2013 | 1,025,340 individuals | ≥18 years | Korea-Seoul | 1 | Mortality: cardiovascular event (CE) (1.36 (95% confidence interval, 1.29–1.43)) and Incidence: Stroke. | |
| Pinault et al. 2017 [ | Canadian Census Health and Environment Cohort | 2000–2008 | 2,448,500 participants | 25–89 | Canada | 10 | Mortality: IHD (HR = 1.16; 95% CI: 1.13–1.20). | |
| Pun et al. 2017 [ | Medicare Beneficiaries | 2000–2008 | 52.9 million participants | 65–120 | U.S. | 10 | Mortality: CVD (RR = 1.56, 95% CI: 1.55, 1.57) | |
| Qiu et al. 2017 [ | Elderly Health Service of the Department of Health in Hong Kong | 1998–2001 | 66,820 individuals | ≥65 years | Hong Kong | 10 | Incident: Stroke (1.14 (95% CI 1.02–1.27). | |
| Stockfelt et al. 2017 [ | PPS cohort and the GOT-MONICA cohort | 1990–2011 | 10,350 participants | 25–64 years and | Sweden-Gothenburg | 5 | IHD (HR: 1.24 95% CI: 0.98–1.59) and Incident: Stroke (HR: 1.48; 95% CI: 0.88–2.49). | |
| Turner et al. 2017 [ | American Cancer Society Cancer Prevention Study-II | 1999–2008 | 429,406 participants | <40 years and 40–80 years | U.S., Columbia, Puerto Rico etc. | 11–15 | Mortality: CV (relative excess risk due to interaction (RERI) = 0.10, attributal proportion (AP) = 0.05, synergy index (S) = 1.11). | |
| Yin et al. 2017 [ | Disease Surveillance Points (DSPs), China | 1990–1991 | 189,793 participants | ≥40 years | China | 10 | Mortality: CVD (1.12 (1.10, 1.13)). | |
| Cakmak et al. 2018 [ | Canadian Census Health and Environment Cohort | 1991–2011 | 3.6 million participants | ≥25 years | Canada | 10 | Mortality: IHD (1.13; 95% CI 1.08, 1.19). | |
| Gandini et al. 2018 [ | Italian Longitudinal Study (ILS) | 1999–2000 | 140,011 individuals | >35 years | Italy | 10 | AMI (1.15 (1.12–1.18)) and Incidence: Stroke. | |
| Loop et al. 2018 [ | REasons for Geographic and Racial Differences in Stroke (REGARDS) cohort | 2003–2007 | 17,126 participants | ≥45 years | U.S. -Stroke Belt and Stroke Buckle | 2.7 | Mortality: CHD (0.94 (0.83–1.06)) and Non-fatal: AMI (0.85 (0.73–0.99)). | |
| Parker et al. 2018 [ | National Health Interview Survey (NHIS) | 1997 to 2009 | 657,238 participants | ≥25 years | U. S. | 10 | Mortality: Heart disease ((HR, 1.16; 95% CI, 1.08–1.25)). | |
| Yitshak-Sade et al. 2018 [ | Harvard School of Public Health Institutional Review Board | 2001−2011 | 2,015,660 participants | ≥65 years | U.S., New England | 2.3 | CVD (6.58% (5.90%; 7.26%)), and IS (0.82% (−0.68%; 2.35%)). | |
| Bai et al. 2019 [ | Ontario Population Health and Environment Cohort (ONPHEC) | 2001 to 2015 | 6,248,299 participants | 35–85 years | Canada-Ontario | 9.6 | Mortality: CHF (1.05 (95% CI: 1.04–1.05)) and Incident: AMI (3%; (95% CI: 2–3%)). | |
| Danesh Yazdi et al. 2019 [ | Medicare and Medicaid Services denominator file | 2000–2012 | 11,084,660 individuals | ≥65 years | Southeastern United States-Florida, Alabama, Mississippi, Georgia, North Carolina, South Carolina, and Tennessee | 1 | AMI and Stroke. | |
| Dirgawati et al. 2019 [ | The Health in Men Study (HIMS) | Apr 1996–Jan 1999 | 12,203 participants | ≥65years | Perth | 5 | Fatal: Stroke. | |
| Heritier et al. 2019 [ | Swiss National Cohort (SNC) | Dec 2000–Dec 2008 | 7.28 million observations | >30 years | Switzerland | 10 | Mortality: AMI (1.034, 95% CI: 1.014–1.055). | |
| Huang et al. 2019 [ | China-PAR | 2000–2015 | 117,575 participants | <50 years | China | 10 | Incident: Stroke (13% (1.133, 1.09 to 1.17). | |
| Lim et al. 2019 [ | National Institutes of Health–American Association for Retired Persons (NIH-AARP) | 1995–2011 | 548,845 participants | 50–71years | U.S. states (California, Florida, Louisiana, New Jersey, North Carolina, and Pennsylvania) and metropolitan areas (Atlanta, Georgia; Detroit, Michigan) | 10 | CVD (1.13; 95% CI, 1.08–1.18)), IHD ((HR, 1.16; 95% CI, 1.10–1.23)). | |
| Ljungman et al. 2019 [ | Swedish cohorts (includes the Primary Prevention Study (PPS) and the Multinational Monitoring of Trends and Determinants in Cardiovascular Diseases (GOT-MONICA) | Jan 1990–Dec 2011 | 114,758 individuals | 25–64 years | Sweden-Gothenburg, Stockholm, and Umea | 1.94 | Incident: IHD (6.5% (95% CI: −0.5−0.5, 14)). | |
| Pope et al. 2019 [ | National Health Interview Surveys (NHIS) | 1986–2014 | 1,599,329 participants | 18–84 years | U.S. | 10 | Mortality: CP (1.24 (95% CI: 1.20, 1.29)) and (1.23 (95% CI: 1.17, 1.29)). | |
| Shin et al. 2019 [ | Ontario Population Health and Environment Cohort (ONPHEC) | Apr 2001–Mar 2015 | 5,071,956 participants | 35–85 years | Canada-Ontario | 10 | AF: HR (95% CI): 1.03 (1.01, 1.04) and Incidence: Stroke (HR (95% CI): 1.05 (1.03, 1.07)). | |
| Hayes et al. 2020 [ | National Institutes of Health NIH-AARP | 2000–2005 | 565,477 participants | 50–71 years | U.S. states (California, Florida, Louisiana, New Jersey, North Carolina, and Pennsylvania) and urban areas (Atlanta, GA, and Detroit, MI,) | 10 | Mortality: IHD (HR 1.16; 95% CI 1.09–1.22) and Stroke (HR 1.14; CI 1.02–1.27). |
Figure 3Local- and personal-level mitigation measures to reduce exposure to air pollution. The figure presents important elements related to reducing air pollution exposure and protecting respiratory and cardiovascular health. Sources contributing to both ambient and household air pollution are shown. Populations at high risk with exposure to air pollution include pregnant women, elderly individuals, children, newborns, and people with preexisting health conditions.