| Literature DB >> 33276797 |
Shuang Liang1,2, Jingyi Zhang1,2, Ruihong Ning1,2, Zhou Du1,2, Jiangyan Liu1,2, Joe Werelagi Batibawa1,2, Junchao Duan3,4, Zhiwei Sun5,6.
Abstract
Ambient and indoor air pollution contributes annually to approximately seven million premature deaths. Air pollution is a complex mixture of gaseous and particulate materials. In particular, fine particulate matter (PM2.5) plays a major mortality risk factor particularly on cardiovascular diseases through mechanisms of atherosclerosis, thrombosis and inflammation. A review on the PM2.5-induced atherosclerosis is needed to better understand the involved mechanisms. In this review, we summarized epidemiology and animal studies of PM2.5-induced atherosclerosis. Vascular endothelial injury is a critical early predictor of atherosclerosis. The evidence of mechanisms of PM2.5-induced atherosclerosis supports effects on vascular function. Thus, we summarized the main mechanisms of PM2.5-triggered vascular endothelial injury, which mainly involved three aspects, including vascular endothelial permeability, vasomotor function and vascular reparative capacity. Then we reviewed the relationship between PM2.5-induced endothelial injury and atherosclerosis. PM2.5-induced endothelial injury associated with inflammation, pro-coagulation and lipid deposition. Although the evidence of PM2.5-induced atherosclerosis is undergoing continual refinement, the mechanisms of PM2.5-triggered atherosclerosis are still limited, especially indoor PM2.5. Subsequent efforts of researchers are needed to improve the understanding of PM2.5 and atherosclerosis. Preventing or avoiding PM2.5-induced endothelial damage may greatly reduce the occurrence and development of atherosclerosis.Entities:
Keywords: Atherosclerosis; Coagulation; Endothelial dysfunction; Inflammation; Lipid deposition; PM2.5
Mesh:
Substances:
Year: 2020 PMID: 33276797 PMCID: PMC7716453 DOI: 10.1186/s12989-020-00391-x
Source DB: PubMed Journal: Part Fibre Toxicol ISSN: 1743-8977 Impact factor: 9.400
Fig. 1Summarized the main pathogenic mechanisms of PM2.5-triggered atherosclerosis. Four main hypotheses have proposed by which inhaled particulate matter effect on cardiovascular system [49]: a. inflammatory mediators; b. unidentified mediators; c. autonomic imbalance; d. direct particle translocation. PM2.5 increased endothelial permeability, declined vascular tone and vascular reparative capacity, thus induced vascular endothelial injury. The initial step of atherosclerosis is vascular endothelial dysfunction, and then activated endothelial cells promoted monocytes recruited and maturation of monocytes into macrophages. Lipid accumulation and continued uptake by macrophages lead to foam cell formation and then developed into atherosclerotic lesion
Epidemiological studies on the association between PM2.5 exposure and atherosclerosis
| Reference | Location | Study design | Sample size | Pollutants | PM2.5 Exposure | Evaluation index | Findings or association |
|---|---|---|---|---|---|---|---|
| [ | - | Meta-analysis | 9183 | Ambient PM2.5, PM10, PM2.5abs, PMcoarse, NOx, NO2 | - | CIMT | PM2.5 (per 5 μg/m3 increase): CIMT increased by 0.78% (95% CI: -0.18%, 1.75%, p = 0.11). |
| [ | Ohio, United States | Prospective longitudinal cohort | 6575 | Ambient PM2.5, NO2 | Long-term exposure | Angiography | PM2.5 (per 2.2 μg/m3 increase): Mild coronary atherosclerosis (defined as 1 to 2 vessels with ≥ 50% stenosis) OR = 1.43 (95% CI: 1.11-1.83; p = 0.005); Severe coronary atherosclerosis (defined as 3 vessels with ≥ 50% stenosis) OR = 1.63 (95% CI: 1.26 to 2.11; p < 0.001). |
| [ | CA, USA | Cross-sectional | 4238 | PM2.5, traffic noise | Long-term exposure | TAC | PM2.5 (per 2.4 μg/m3 increase): TAC burden increased by 18.1% (95% CI: 6.6 to 30.9%). |
| [ | USA | Longitudinal cohort | 6814 | Ambient PM2.5 NOx, NO2 and black carbon | Long-term exposure | CAC; IMT | PM2.5 (per 5 μg/m3 increase): Coronary calcium progressed by 4.1 Agatson units per year (95% CI: 1.4 to 6.8); Without association with IMT, -0.9 μm per year (95% CI: -3.0 to 1.3). |
| [ | India | prospective, intergenerational cohort | 3278 | Ambient and indoor air pollution | Long-term exposure | CIMT | Ambient PM2.5 (per 1 μg/m3 increase): CIMT increased by 1.79% (95% CI: -0.31 to 3.90) in all participants; CIMT increased by 2.98% (95% CI: 0.23 to 5.72) in men. Indoor air pollution (biomass cooking fuel): CIMT increased by 1.60% (95% CI: -0.46 to 3.65) in all participants |
| [ | - | Meta-analysis | - | PM2.5 | - | CIMT arterial calcification; ankle-brachial index | PM2.5 (per 10 μg/m3 increase): CIMT increased by 22.52 μm (p = 0.06); Without association with arterial calcification (p = 0.44) or ankle-brachial index (p = 0.85). |
| [ | USA | Cross-sectional | 6654 | Ambient PM2.5 and black carbon | 12 months, 3 months 2 weeks Short-term exposure (0-5 days) | HDL-C HDL particle number | No significant association between PM2.5 and HDL-C; PM2.5 (per 5 μg/m3 increase) exposure for 3 months: HDL-P decreased by 0.64 μmol/L (95% CI: -1.01 to -0.26); PM2.5 (per 5 μg/m3 increase) exposure for 2-week: HDL-C increased by -0.86 mg/dL (95% CI: -1.38 to -0.34); HDL-P decreased by 0.29 μmol/L (95% CI: -0.57 to -0.01). PM2.5 (per 5 μg/m3 increase) exposure for 5 days: HDL-P decreased by 0.21 μmol/L (95% CI: -0.38 to -0.04). |
| [ | Beijing, China | Panel study | 40 | Ambient PM2.5 | Short-term exposure (1 day) | Ox-LDL; sCD36 | PM2.5 chloride, strontium, iron (1-day, per 0.51 μg/m3 increase) and nickel (2-day, 2.5 μg/m3 increase): ox-LDL increased by 1.9% (95% CI: 0.2% to 3.7%, p < 0.05) and 1.8% (95% CI: 0.2% to 3.4%), respectively; PM2.5 calcium (1-day, 0.7 μg/m3 increase): sCD36 increased by 4.8% (95% CI: 0.7% to 9.1%). |
| [ | Beijing, China | Cross-sectional | 8867 | Ambient PM2.5, NO2, O3 | Long-term exposure | CAC Score | PM2.5 (per 30 μg/m3 increase): CAC scores increased by 27.2% (95% CI: 10.8% to 46.1%); CAC increased by 42.2% (95% CI: 24.3% to 62.7%) in men, 50.1% (95% CI: 28.8% to 75%) in elderly participants, 62.2% (95% CI: -1.4% to 20.4%) in those with diabetes. |
| [ | Taiwan | Cross-Sectional | 689 | Ambient PM10, PM2.5, PM2.5abs, NO2, NOx | Long-term exposure | CIMT | PM2.5abs (per 1.0 x 10-5/m): Maximum left CIMT increased by 4.23% (95% CI: 0.32% to 8.13%, p < 0.05); PM2.5 mass concentration was not associated with CIMT. |
| [ | Toronto | Cohort study | 30 | Urban PM2.5 and O3 | Short-term exposure (2 h) | HOI; Blood pressure; | PM2.5 (exposure for 2h, 1h after exposure): Association with HOI (p = 0.078); HOI associated with systolic blood pressure (p = 0.05). |
| [ | USA | Cross-sectional, longitudinal | 5276 | PM2.5 | Long-term exposure | CIMT | PM2.5 concentration (per 2.5 μg/m3 increase): Increased IMT progression (5.0 μm/y, 95% CI: 2.6 to 7.4 μm/y); PM2.5 concentration (per 1 μg/m3 reduce): Slowed IMT progression (-2.8 μm/y, 95%CI: -1.6 to -3.9μm/y). |
| [ | USA | Cross-sectional | 5488 | Ambient PM2.5 | Long-term exposure | CIMT | PM2.5 (sulfur, silicon, EC and OC): Association: CIMT Sulfur (0.022 mm, 95% CI: 0.014 to 0.031); silicon (0.006 mm, 95% CI: 0.000 to 0.012); OC (0.026 mm, 95% CI: 0.019 to 0.034). |
| [ | South India | Cross-sectional | 7000 | PM2.5 | - | CIMT | PM2.5 (per 1 μg/m3 increase): Association: CIMT. |
| [ | Germany | Cohort study | 4814 | Traffic- related air pollution and noise | Long-term exposure | TAC | No associations between PM2.5 and TAC |
| [ | USA | Longitudinal | 165675 | Ambient PM (PM10, PM2.5, PM2.5-10) | Long-term exposure; Short-term exposure | Leukocyte Counts and Composition | PM2.5 (per 10 μg/m3 increase, exposure for 1-month): Increased: leukocyte count (12 cells/μl, 95%CI: -9 to 33), granulocyte proportion (1.2%, 95% CI: 0.6% to 1.8%); Decreased: CD8+ T cell (-1.1%, 95%CI: -1.9% to -0.3%); PM2.5 (per 10 μg/m3 increase, exposure for 12-month): Increased: leukocyte count (28 cells/μl, 95%CI: -20 to 75), granulocyte proportion (1.1%, 95% CI: -0.2% to 2.4%); Decreased: CD8+ T cell (-1.3%, 95%CI: -2.4% to -0.1%); |
| [ | USA | Longitudinal | 6814 | Ambient PM2.5 | Long-term exposure; Short-term exposure | Serum CRP, IL-6, fibrinogen, D-dimer, soluble E-selectin, sICAM -1 | Long-term exposure to PM2.5 ( per 10 μg/m3 increase): Association: inflammation and fibrinolysis (CRP, fibrinogen and E-selectin); Increased: e.g. IL-6 (6%, 95%CI: 2% to 9%). Short-term exposure to PM2.5: Association: inflammation, coagulation and endothelial activation. |
| [ | Netherlands | Prospective cohort | 750 | Air pollutants (PM2.5, NO2, black smoke, SO2) | Long-term exposure | CIMT; PWV; AIx | PM2.5 (per 5 μg/m3 increase): CIMT increased by 0.94% (95% CI: -.2.59% to 4.47%); PWV increased by 0.64% (95% CI: -4.71% to 6.01%); AIx increased by 10.17% (95% CI: -37.82% to 58.17%); |
| [ | USA | Cohort study | 3996 | PM2.5, PM10 | Long-term exposure | radial artery pulse wave and carotid artery ultrasound | Long-term particle mass exposure: Not appear to be associated with greater arterial stiffness. |
| [ | Australian | Cross-sectional | 606 | Ambient PM2.5, NO2 | Long-term exposure | CCS | PM2.5 (per μg/m3 increase): Association: CCS (≥ 100): (OR 1.20, 95% CI: 1.02 to 1.43); CCS (≥ 400): (OR 1.55, 95% CI: 1.05 to 2.29). |
| [ | Germany | Cross-sectional | 4291 | Ambient PM2.5, PM10 | Long-term exposure | Arterial blood pressure (BP) | Per IQR of PM2.5 (2.4 μg/m3): Systolic BP increased by 1.4 mmHg (95% CI: 0.5 to 2.3); Diastolic BP increased by 0.9 mmHg (95% CI: 0.4 to 1.4). |
| [ | Switzerland | Cross-sectional | 1503 | Ambient PM10, PM2.5, UFP | Long-term exposure | CIMT | Vehicular source of PM2.5: CIMT increased by 1.67% (95% CI: -0.30 to 3.47%). |
| [ | USA | Cross-sectional | 6256 | Ambient PM2.5 (EC, OC, silicon, and sulfur) | Long-term exposure | CIMT, PM2.5 components EC, OC, silicon, and sulfur | Per IQR increase of PM2.5: Association/increase: CIMT PM2.5 (14.7 μm, 95% CI: 9.0 to 20.5); OC (35.1 μm, 95% CI: 26.8 to 43.3); EC (9.6 μm, 95% CI: 3.6 to 15.7); Sulfur (22.7 μm, 95% CI: 15.0 to 30.4). |
| [ | Seoul, Korea | Cohort study | 364 | Ambient PM2.5 | Long-term exposure | Coronary computed tomographic angiography | PM2.5 (per 1 μg/m3 increase): Increase/association: HRP (aHR 1.62, 95% CI: 1.22 to 2.15, p < 0.001); fibrofatty and necrotic core component (aHR 1.41, 95% CI: 1.23 to 1.61, p < 0.001); total plaque volume progression (aHR 1.14, 95% CI: 1.05 to 1.23, p = 0.002). |
| [ | USA | Cross-sectional | 417 | Ambient PM2.5,O3 | Long-term exposure | CIMT | PM2.5 (per 1 μg/m3 increase): CIMT increased by 4.28 μm/y (95% CI: 0.02 to 8.54μm/y). |
| [ | Germany | Prospective cohort | 4494 | Traffic and PM2.5 | Long-term exposure | CAC | Possible association between PM2.5 exposure and CAC |
| [ | USA | Cohort study | 3506 | Ambient PM2.5 | Long-term exposure | TAC, AAC | No consistent associations between PM2.5 and TAC, AAC |
| [ | Taiwan | Prospective cohort | 30034 | Ambient PM2.5 | Long-term exposure | CRP | PM2.5 (per 5 μg/m3 increase): Association: systemic inflammation CRP increased by 1.31% (95% CI: 1.00% to 1.63%) |
| [ | North Carolina | Cross-sectional | 861 | PM10, PM2.5, NO2, O3 | - | CIMT | No associations between PM2.5 and CIMT. |
| [ | Detroit, MI; Oakland, CA; Pittsburgh, PA; Chicago, IL; and Newark, NJ | Cohort study | 1188 | PM2.5, O3 | Long-term exposure | CIMT, IAD, plaque presence and plaque index | PM2.5 (1 μg/m3 higher 5-year mean): CIMT increased 8 μm (95% CI: 1.0 to 15.1), adjusting for cardiovascular disease risk factors; No significant associations between PM2.5 and IAD; No associations between PM2.5 and plaque presence or plaque index. |
| [ | German | Cohort study | 4814 | PM2.5, PM10 | Long-term exposure | CIMT | PM2.5 (interdecile range increase 4.2μg/m3): CIMT increased 4.3% (95% CI: 1.9% to 6.7%); PM10 (interdecile range increase 6.7μg/m3): CIMT increased 1.7% (95% CI: -0.7% to 4.1%). |
| [ | Sichuan, China | Longitudinal study | 205 | Household air pollution (PM2.5 and BC) | Short-term exposure (48 h) | BP, PP, cfPWV, AIx | PM2.5 (1-ln (μg/m3) increase): Association: SBP; PP; cfPWV (-0.1 m/s, 95% CI -0.4 to 0.2) with no difference; slightly higher AIx (1.1%, 95% CI -0.2 to 2.4). |
| [ | Puno, Peru | Cross-sectional | 266 | Householdbiomass fuel | long-term exposure | Measure 24 h indoor PM2.5, CIMT, Carotid plaque, BP | Biomass fuel exposure: Increased: CIMT (0.66 vs 0,60 mm, p < 0.001); carotid plaque prevalence (26% vs 14%, p < 0.05); systolic BP (118 vs 111 mm Hg, p < 0.001); median household PM2.5 (280 vs 14 μg/m3, p < 0.001). |
| [ | Taiwan, China | Prospective panel atudy | 117 | Ambient PM2.5, NO2 | - | baPWV, hsCRP | PM2.5 (10 μg/m3 increases at 1 day lag): Association: baPWV (2.1%, 95% CI: 0.7%-3.6%; 2.4%, 95% CI: 0.8%-4.0%); No significant association between NO2 and baPWV. |
| [ | USA | Cross-sectional | 798 | PM2.5 | long-term exposure | CIMT | PM2.5 (10 μg/m3 increases): CIMT increased (5.9%, 95% CI: 1 to 11%); Adjustment of age, never smokers, ≥ 60 years of age women: the strongest associations with CIMT increased (15.7%, 95% CI: 5.7 to 26.6%). |
| [ | USA | Cross-sectional | 1147 | PM2.5 | long-term exposure | calcium scores | PM2.5 (10 μg/m3): Aortic calcification (RR=1.06; 95% CI: 0.96 to 1.16); Long-term residence near a PM2.5 monitor (RR=1.10; 95% CI: 1.00 to 1.22). |
| [ | USA | Cohort study | 5172 | PM2.5 | long-term exposure | CIMT | PM2.5 (12.5 μg/m3 increases): CIMT increased 1 to 3%. |
| [ | Geman | Prospective cohort study | 4494 | PM2.5 | long-term exposure | CAC | PM2.5 (3.91 μg/m3): CAC higher 17.2% (95% CI: -5.6 to 45.5%). |
| [ | Hebei, China | Cross-sectional | 752 | Indoor PM2.5, CO, SO2 | Long-term exposure | CIMT, IL-8, CRP, TNF-α, SAA1 | Smoky coal combustion-derived indoor air pollutants: Increased: systemic inflammation; The risk of carotid atherosclerosis RR = 1.434 (95% CI: 1.063 to 1.934, p = 0.018). |
Note: Short-term exposure means the period of exposure is less than 3 months; Long-term exposure means the period of exposure is longer than 3 months
AAC abdominal aortic calcium agatston score, aHR adjusted hazard ratio, AIx augmentation index, BC black carbon, BP Blood pressure, CAC coronary artery calcification, CCS Coronary artery calcium score, cfPWV carotid-femoral PWV, CI confidence interval, CIMT carotid intima-media thickness, CRP C-reactive protein, EC elemental carbon, HDL-P high-density lipoprotein cholesterol particle matter, HOI HDL oxidant index, HDL-C high-density lipoprotein cholesterol, HRP high-risk plaque, IAD inter-adventitial diameter, IMT intima-media thickness, IL interleukin, O ozone, IQR interquartile, NO nitrogen dioxide, OC organic carbon, Ox-LDL oxidized low-density lipoprotein, OR odds ratio, PM absorbance levels of PM2.5, PNacc particle number of accumulation mode particles, PP pilse pressure, UFP ultrafine particles (< 0.1μm), TAC thoracic aortic calcium agatston score, SBP systolic blood pressure, sCD36 soluble cluster of differentiation 36, sICAM-1 soluble Intercellular Adhesion Molecule-1, SO sulfur dioxide, PWV Pulse wave velocity, baPWV brachial-ankle pulse wave velocity
Animal studies on the association between PM2.5 exposure and atherosclerosis
| Reference | PM2.5 source | Mouse model | Diet | Exposure | Findings |
|---|---|---|---|---|---|
| [ | Shanghai, China Ambient PM2.5 | ApoE-/- mice | Normal chow; High-fat diet | 8 h/day, 7 days/week, 16 weeks | PM2.5 exposure induced and promoted atherosclerotic lesions with significant difference. Atherosclerotic plaque; lipids (ApoB, LDL-C, T-CHO, TG); CD36; ox-LDL; inflammatory cytokines (IL-1β, IL-18); NLRP3, caspase-1, ASC, pro-caspase-1, cleaved-caspase-1; Lipids (ApoA1 and HDL-C) |
| [ | Nanjing, China Ambient PM2.5 | ApoE-/- mice | High-fat diet | 12 weeks | PM2.5 exposure amplified atherosclerotic lesions with significant difference. Atherosclerotic plaque; lipid accumulation; TC; LDL-C; Inflammatory cytokines (IL-6, TNF-α); Anti-inflammatory cytokines (IL-10, TGF-β); CD4+CD25+Foxp3+Tregs; Foxp3 |
| [ | Beijing, China Ambient PM (PM2.5 and PM10) | ApoE-/- mice | High-fat diet | 24 h/day, 7 days/week, 2 months | PM2.5 increased atherosclerotic plaque with significant difference. Lesion area; TC; LDL; ox-LDL; visfatin; systemic inflammation and pulmonary inflammation response (IL-6, TNF-α); MDA SOD; GSH-Px |
| [ | Beijing, China Ambient PM (PM2.5 and PM10) | ApoE-/- mice | High-fat diet | 24 h/day, 7 days/week, 2 months | PM2.5 exposure increased atherosclerotic plaque with significant difference. Plaque area; TC; LDL; ox-LDL; systemic inflammation (Hs-CRP, IL-6, TNF-α) and pulmonary inflammation response (IL-6, TNF-α); T-AOC; SOD |
| [ | Michigan State University, USA Ambient PM2.5 | ApoE-/- or LDLR-/- mice | High-fat diet | 6 h/day, 5 days/week, 6 months | PM2.5 exposure increased atherosclerotic plaque with significant difference. Lesion area; lipid and collagen content; 7-KCh and uptake; CD36; foam cell formation |
| [ | Nanjing, China Ambient PM2.5 | ApoE-/- mice | High-fat diet | twice/week, 12 weeks or 24 weeks | PM2.5 exposure promoted atherosclerotic plaque development and increased plaque vulnerability, with significant difference. Lesion area, lipid; broken aortic elastic fibers; Collagen content; fibrous cap |
| [ | Beijing, China Ambient PM2.5 | ApoE-/- mice | High-fat diet | Every 3 days, 2 months, | PM2.5 exposure increased the formation of atherosclerosis and the influence probably persisted after 1-month recovery, with significant difference. Atherosclerotic lesion; inflammatory cytokines; lipid metabolism alteration. |
| [ | Tianjin, China Traffic related PM2.5, simulated PM2.5 | ApoE-/- mice | High-fat diet | Every two days, 10 weeks | Traffic related and simulated PM2.5 promoted the formation of atherosclerosis with significant difference. Plaque; T-CHO; LDL-C; TG; MDA; HDL-C; SOD; GSH-Px |
| [ | Northeastern, China Ambient PM2.5, WDE, DEG | ApoE-/- mice | Normal chow | average of 5.2 hours/day, 4 days/week, 3 months and 5 months | Exposure to PM2.5 for 5 months induced atherosclerotic plaques with significant difference. For plaque exacerbation, PM2.5 > WDE > DEG = FA Plaque; vasomotor dysfunction; inflammation |
| [ | Yinchuan, China coal-fired PM2.5 | C57BL/6J mice and ApoE-/- mice | High-fat diet | 3 h/day, 1 day/week, 8 weeks | Coal-fired PM2.5 significantly promoted the formation atherosclerosis with significant difference. Plaque; foam cells; fibrous cap formation; ET-1; ICAM-1; E-selectin vWF |
| [ | Manhattan, USA PM2.5 | ApoE-/- mice | Normal chow and High-fat diet | 6 h/day, 5 day/week, 6 months | In high-fat diet group, PM2.5 increased plaque area compared with FA (p < 0.01); In normal chow group, PM2.5 increased plaque area compared with FA (p < 0.15). Plaque area; Cholesterol; Constriction response; CD68; 3-Nitrotyrosine; eNOS; iNOS; Relaxation response |
| [ | Los Angeles freeway, USA PM2.5 | ApoE-/- mice | regular diet | 5 h/day, 3 day/week, 75 hours | PM2.5 resulted in aortic atherosclerotic lesion increased trend (p = 0.1). Plaque area; Liver MDA; HDL anti-inflammatory properties |
| [ | New York; USA PM2.5 | C57BL/6, ApoE-/- mice, ApoE and LDLR double knockout (DK) | High-fat diet and regular diet | 6 h/day, 5 day/week, 5 months | PM2.5 exposure increased atherosclerotic lesion in ApoE-/- mice (p < 0.05). Atherosclerotic lesion 57% increase in ApoE-/- mice; Atherosclerotic lesion 10% increase in male DK mice and 8% decrease in female DK mice. |
| [ | New York; USA PM2.5 | ApoE-/- mice | High-fat diet | 30 mg/kg/day, 8 weeks | PM2.5 contributed to the progression of atherosclerosis (p < 0.05). Atherosclerotic plaques; numbers of lesion macrophages; endothelial layer injury; platelets and leukocytes adherence; IL-6; TNF-α; iNOS; IL-12; arginase-1; CD206 |
| [ | DEP, 1650b, NIST, USA | C57BL/6, ApoE-/- mice | Regular chow or high-fat diet | Once a day during 5 days/week, 3-6 weeks | DEP exposure increased atherosclerotic lesion in ApoE-/- mice (p < 0.05). Atherosclerotic plaques; EPC apoptosis; superoxide production; Neoangiogenesis; EPC migration; Endothelial cell interity |
| [ | DEP, SRM-2975, NIST, USA | C57BL/6, ApoE-/- mice | Regular chow or high-fat diet | Twice weekly instillation | DEP exposure increased atherosclerotic lesion in ApoE-/- mice (p < 0.05). Atherosclerotic plaques; Cholesterol; antioxidant genes in the liver |
Note: Apo A1 apolipoprotein A1, Apo B apolipoprotein B, ASC apoptosis associated speck like protein, CD36 cluster of differentiation 36, DEG diesel exhaust gases, DEP Diesel exhaust particles, ET-1 endothelin-1, eNOS endothelial nitric oxide synthase, FA filtered air, Foxp3 forkhead box transcription factor P3, GSH-Px glutathione peroxidase, HDL-C high density lipoprotein-cholesterol, Hs-CRP high sensitive C-reactive protein, IL interleukin, ICAM-1 Intercellular Adhesion Molecule-1, iNOS inducible nitric oxide synthase, 7-KCh 7-ketocholesterol, LDL-C low density lipoprotein-cholesterol, MDA malondialdehyde, NIST National Institute of Standards and Technology, NLRP3 NOD-like receptor protein 3, ox-LDL oxidized low-density lipoprotein, PM particulate matter, SOD superoxide dismutase, T-AOC total antioxidant capacity, T-CHO total cholesterol, TG triglycerides, TGF-β transforming growth factor-β, TNF-α tumor necrosis factor α, vWF von willebrand factor, WDE whole diesel exhaust
PM2.5 exposure in endothelial cells
| Reference | Endothelial cells lines | PM2.5 source | Exposure concentration | PM2.5 Exposure time | Evaluation |
|---|---|---|---|---|---|
| [ | EA.hy926 | Beijing, China Urban PM2.5 | PM2.5: 2, 10, 40, 100, 200, 1000 μg /cm2; SOD (ROS scavenger): 0.5 mg/ml. | 24 h | Trace elements in PM2.5 suspension, water-insoluble and water-soluble; Cell viability; ROS; MMP; Apoptosis. |
| [ | EA.hy926, HUVECs | PM2.5 SRM1648a, NIST, USA | PM2.5: 1.25, 2.5, 5, 10, 20, 40 μg /cm2; 4-PBA (ER stress inhibitor): 1 mM; 3-MA (a classical PI3K III inhibitor, autophagy antagonist): 2.5 mM; Rapa (an mTOR inhibitor, autophagy agonist): 50 nM; Bafi A1 (a proton-pump inhibitor, autolysosome inhibitor): 20 nM. | 24 h | Cell viability; ER stress; Autophagy; Apoptosis; Autophagic flux. |
| [ | EA.hy926, HUVECs | PM2.5 SRM1648a, NIST, USA | PM2.5: 1.25, 2.5, 5, 10, 20, 40 μg/cm2; Fer-1 and DFOM (ferroptosis inhibitors): 500 nM and 5 μM, respectively. | 24 h or 12 h | Cell viability; intracellular iron content; GSH; lipid peroxidation; redox imbalance; ferroptosis-related genes or biomarkers. |
| [ | PCAECs | Fine dust, ERM-CZ100, Sigma-Aldrich, USA | Fine dust: 1, 3, 10, 30, 100 μg/ml; NAC: 10 mM; Losartan: 10 μM. | 48 h or 1, 4, 24 h | SA-β-gal; platelet aggregation; cell proliferation; Oxidative stress; Relaxation; Senescence. |
| [ | HUVECs | Beijing, China | PM2.5: 2, 20, 100 μg/ml; NAC: 5 mmol/l | 6, 12, 24 h | VE-cadherin; VEGFR2 and MAPK/ERK signaling; ROS; SOD. |
| [ | HUVECs | Beijing, China | PM2.5: 80 μg/ml; miR-21 inhibitor | 24 h | miR-21; target genes; VE-cadherin. |
| [ | HUVECs | Mexico | PM2.5: 20 μg/cm2; | 3, 24, 48, 72 h | Oxidative stress; NF-κB; Apoptosis. |
| [ | HUVECs | Wuhan, China | PM2.5: 6.25, 12.5, 25 μg/ml; SP600125 (JNKs inhibitor); SB203580 (p38K inhibitor); PD98059 (ERKs inhibitor); | 24 h | AP-1; Oxidative stress; pro-inflammatory response. |
| [ | HUVECs, HMEC-1 | PM2.5 NIST, USA | PM2.5: 100, 200, 400, 800 μg/ml; | 24 h | Cell viability; Apoptosis; Migration; Tube formation; ROS; Inflammation. |
| [ | EA.hy926 | Yuquan Road, Beijing, China | PM2.5: 25, 50, 100, 200 μg/ml; SP600125 (JNK inhibitor): 25 μM; U0126 (ERK inhibitor): 10μM; SB203580 (p38 MAPK inhibitor): 25μM; LY294002 (PI3K/AKT inhibitor): 25μM; BAY11-7082 (NF-kB inhibitor): 5μM. | 1, 3, 6, 12, 24 h | Cell viability; ROS; Adhesion molecule; Adhesion experiment. |
| [ | HUVECs | COFs-derived PM2.5 | PM2.5: 12.5, 25, 50, 75, 100, 200μg/ml; SU5416 (a VEGFR2 inhibitor): 0.5, 1, 2.5, 5, 7.5, 10, 20 μM. | 12, 24, 36 h | Cell viability; Tube formation. |
| [ | HUVECs | Taiyuan, China | PM2.5: 1, 5, 10 μg/ml; Pam3CSK4 (TLR2 agonist): 1μg/ml; LPS (TLR4 agonist): 500μg/ml; anti-TLR2 (TLR2 inhibitor): 10μg/ml; TAK242 (TLR4 inhibitor): 5μmol/l. | 12 h | Inflammation. |
| [ | MAECs | Wuhan, China | PM2.5: 25, 50, 100 μg/ml; NS-398 (COX-2 inhibitor): 10μM. | 12, 24 h | Apoptosis. |
| [ | HUVECs, ATG12-KO HUVECs | Diesel exhaust particles (DEP) | DEP: 25, 50 μg/ml; NAC: 5 mM; Nutllin-3a: 5 μM; PMA (ROS inducer): 1μM | 2, 4, 8, 24 h | Cell viability; ROS; Cytokeleton; Lysosome; Apoptosis; DNA damage; Tube formation; Migration; Autophagy. |
| [ | HAECs | DEP | DEP: 12.5, 25, 50μg/ml; | 2, 4, 6 h | Permeability; LDH; Apoptosis; ZO-1. |
| [ | HUVECs | Non-industry district, Shanghai, China | PM2.5: 100, 200, 400 μg/ml; Atorvastatin: 0.1, 1, 10 μmol/l. | 24 h | Water-soluble and organic extracts; Cell viability; Oxidative stress; Cytokines. |
| [ | HCAECs | Southern Taiwan | PM2.5: 20, 50 μg/ml; | 4 h | Metal fume particles; Cell viability; 8-OHdG; IL-6; NO. |
| [ | HUVECs | Mexico | PM2.5: 5, 10, 20, 40 μg/cm2; TNF-α: 10 ng/ml. | 6 or 24 h | Cell viability; Adhesion; Adhesion molecules. |
| [ | HUVECs | Beijing, China | PM2.5: 5, 25, 50, 100, 200 μg/ml; Rap: 100 nmol/l; 3-MA: 5 mmol/l. | 24 h | Cell viability; Autophagosome; Autophagy. |
| [ | EA.hy926 | Coal-fired PM2.5 (Yinchuan, Datong, Jingxi, Zhijin, China) | PM2.5: 10, 25, 50 μg/ml; | 24 h | Cell viability; DNA methylation; DNA damage. |
Note: AP-1 activation protein-1, Bafi A1 Bafilomycin A1, DEP Diesel exhaust particles, DFOM Deferoamine mesylate, EA.hy926 human umbilical vein cell line, ER endoplasmic reticulum, ERK extracellular signal-regulated kinase, Fer-1 Ferrostatin-1, GSH glutamate, HCAECs human coronary artery endothelial cells, HMEC-1 human microvascular endothelial cells, IL interleukin, LDH lactate dehydrogenase, MAECs Mouse aorta endothelial cells, 3-MA 3-Methyadenine, MAPK mitogen-activated protein kinase, MMP Mitochondrial membrane potential, NAC N-acetyl-L-cysteine, NF-κB nuclear factor kappa-B, NIST National Institute of Standards and Technology, NO nitric oxide, 8-OHdG 8-hydroxy-2’-deoxyguanosine, PAH polycyclic aromatic hydrocarbon, 4-PBA 4-phenylbutyrate, PMA Phorbol-myristate-acetate, Rapa/Rap Rapamycin, ROS reactive oxygen species, SA-β-gal Senescence-associated (beta)-galactosidase, TNF-α tumor necrosis factor α, VE-cadherin vascular endothelial cadherin, VEGFR2 vascular endothelial growth factor receptor 2, VOC volatile organic compounds, ZO-1 Zonular Occludin-1
Fig. 2Summary of the main mechanisms of PM2.5-caused vascular endothelial injury. Mainly involved three aspects: a. PM2.5 increased vascular endothelial permeability; b. PM2.5 impaired vasomotor function; c. PM2.5 declined vascular reparative capacity