| Literature DB >> 30841934 |
Matthew Loxham1,2,3,4, Mark J Nieuwenhuijsen5,6,7.
Abstract
BACKGROUND: Exposure to ambient airborne particulate matter is a major risk factor for mortality and morbidity, associated with asthma, lung cancer, heart disease, myocardial infarction, and stroke, and more recently type 2 diabetes, dementia and loss of cognitive function. Less is understood about differential effects of particulate matter from different sources. Underground railways are used by millions of people on a daily basis in many cities. Poor air exchange with the outside environment means that underground railways often have an unusually high concentration of airborne particulate matter, while a high degree of railway-associated mechanical activity produces particulate matter which is physicochemically highly distinct from ambient particulate matter. The implications of this for the health of exposed commuters and employees is unclear. MAIN BODY: A literature search found 27 publications directly assessing the potential health effects of underground particulate matter, including in vivo exposure studies, in vitro toxicology studies, and studies of particulate matter which might be similar to that found in underground railways. The methodology, findings, and conclusions of these studies were reviewed in depth, along with further publications directly relevant to the initial search results. In vitro studies suggest that underground particulate matter may be more toxic than exposure to ambient/urban particulate matter, especially in terms of endpoints related to reactive oxygen species generation and oxidative stress. This appears to be predominantly a result of the metal-rich nature of underground particulate matter, which is suggestive of increased health risks. However, while there are measureable effects on a variety of endpoints following exposure in vivo, there is a lack of evidence for these effects being clinically significant as may be implied by the in vitro evidence.Entities:
Keywords: Inflammation; Iron; Oxidative stress; Particulate matter; Reactive oxygen species; Steel; Subway; Transition metal; Underground railway
Mesh:
Substances:
Year: 2019 PMID: 30841934 PMCID: PMC6404319 DOI: 10.1186/s12989-019-0296-2
Source DB: PubMed Journal: Part Fibre Toxicol ISSN: 1743-8977 Impact factor: 9.400
Fig. 1Literature search methodology. Papers were selected for inclusion in the review by combining each of the search boxes in the figure with the Boolean operator “AND”, across four databases. The 203 papers yielded by this initial search were refined to include only those of relevance to underground railways and health, and supplemented by relevant papers used in the review of Xu and Hao [13] and also the IMPROVE study. This yielded the 27 papers which form the core body of literature for this review. Further studies have been included and cited where appropriate
Studies investigating the health effects of exposure to underground railway air pollution in vivo
| First Author | Publication Year (Study Dates) | Underground | [Airborne PM] (μg/m3 unless stated) | PM Composition | Exposure Period | Sample Size | Effects of Underground Exposure |
|---|---|---|---|---|---|---|---|
| Klepczynska Nystrom [ | 2010 (October 2006–March 2007) | Stockholm, Sweden | PM10 = 242 ± 40; PM2.5 = 77 ± 10; | PM10: Fe = 58.6 ± 21.0%; Ba = 1.0 ± 0.4%; Cu = 0.8 ± 0.4%; Mn = 0.5 ± 0.2% | 2 h, afternoon rush hour | 20 healthy non-smoking volunteers (13 M 7F), mean age 27 y (range 18–46) | No change in lung function or airway cellular parameters, increased plasma fibrinogen, increased blood Treg count. |
| Bigert [ | 2011 (November 2004–March 2005) | Stockholm, Sweden | PM10–1 DataRAM and PM2.5 ticket office = 13 ± 3, 10 ± 3; train drivers = 33 ± 12, 19 ± 3; platform workers = 182 ± 57, 63 ± 12 | Not stated | ~ 8 h working day | 81 non-smoking workers (55 M 26F), mean age 38 y (range 25–50) | No changes in FENO or lung function over working day. |
| Klepczynska Nystrom [ | 2012 (mid November-early April, year not stated) | Stockholm, Sweden | PM10 = 232 ± 51; PM2.5 = 71 ± 13; | PM10: Fe = 49.3 ± 7.3%; Ba0.7 ± 0.1%; Cu = ND; Mn = 0.4 ± 0.1 | 2 h, afternoon rush hour | 16 mild asthmatic non-smoking volunteers (5 M 11F), mean age 26 y (range 18–52) | Increased activated T cells in BALF, no effect on blood T cell counts or coagulation markers. |
| Bigert [ | 2008 (November 2004–March 2005) | Stockholm, Sweden | PM10–1 DataRAM and PM2.5 ticket sellers = 13 ± 3, 10 ± 3; train drivers = 33 ± 12, 19 ± 3; platform cleaners = 256 ± 97, 79 ± 17; platform ticket collectors = 108 ± 26, 50 ± 8 | Not stated | 48 h (over 2 working days) | 79 non-smoking workers (54 M, 25F), mean age 38 y (range 25–50) | Increased PAI-1 in ticket sellers, increased fibrinogen in train drivers. More exposed platform workers had higher baseline PAI-1 and hsCRP, but no effect over exposure period. No obvious PM effect. |
| Lundstrom [ | 2011 (mid November-early April, year not stated) | Stockholm, Sweden | Not stated – see [ | Not stated – see [ | 2 h, afternoon rush hour | 18 healthy, 15 mild intermittent asthmatic non-smoking volunteers (17 M, 16F), mean age 26 y (range 18–52) | 9/64 oxylipins assayed in BALF increased in healthy vs. asthmatic, volunteers, principally 15-lipoxygenase-generated derivatives of linoleic and α-linolenic acids. |
| Liu [ | 2015 | Taipei, Taiwan | PM10, PM2.5 underground = 32 ± 12, 22 ± 7; bus = 40 ± 16, 32 ± 12; car = 34 ± 13, 29 ± 11; walking = 50 ± 21, 42 ± 18 | Not stated | 1 h morning commute | 120 healthy volunteers (58 M, 62F), mean age 21 y (range 19–24) | Underground commute showed lowest PM2.5 exposure and lowest effect on heart rate variability vs. bus, car, or walk. |
| Bigert [ | 2007 (data from 1976 to 1996) | Stockholm, Sweden | Not stated | Not stated | Chronic workplace exposure | 131,496 M (250 underground drivers), 22,311 myocardial infarction cases (54 underground drivers) | No increased risk of myocardial infarction in underground drivers (RR = 0.92 [95% CI 0.68–1.25] vs. manual workers, 1.06 [95% CI 0.78–1.43] vs. other employed males). |
| Gustavsson [ | 2008 (subjects followed from 1970 to 1989) | Stockholm, Sweden | Not stated | Not stated | Chronic workplace exposure | 319,979 M (348 underground drivers), 4731 lung cancer cases (9 underground drivers) | No increased risk of lung cancer in underground drivers (standardised incidence ratio 0.82 [95% CI 0.38–1.56]). |
| Grass [ | 2010 (November 2004–February 2005) | New York City, USA | PM2.5 exposure median across all subway roles = 27 (5th–95th %ile = 8–112) | PM2.5: median Fe = 27% | Chronic workplace exposure | 39 M underground drivers (median age 48 y, IQR 38–53), 11 M bus drivers (45 y, 41–48), 25 M office workers (44 (37–51)) | Across a wide range of chemical and biomarker assays in blood and urine, only urinary 8-isoprostate was associated with (cumulative) underground exposure. |
| Mehrdad [ | 2015 (September–October 2012) | Tehran, Iran | Not stated | Not stated | Chronic workplace exposure | 81 M healthy underground workers, mean age 32 ± 7 y | Increased urinary 8-OHdG in underground tunnel workers vs. underground non-tunnel workers. |
In vitro studies of the toxicology of underground railway particulate matter
| Author | Publication Year | Underground | [Airborne PM] (μg/m3 unless stated) | Underground PM Composition | Comparator PM | Model | Exposure Conc/Time | Findings |
|---|---|---|---|---|---|---|---|---|
| Seaton [ | 2005 | London, UK | PM2.5 = 270–480; PNC = 14,000-29,000/cm3 | PM2.5: Fe = 64–71%; Cr = 0.1–0.2%; Mn = 0.5–1%; Cu = 0.1–0.9%; quartz = 1–2% | Urban PM10; TiO2; welding fume | A549 | PM2.5 1–100 μg/ml, 8–24 h | Underground PM2.5 caused concentration-dependent increase in IL-8 release, LDH release, plasmid damage. |
| Karlsson [ | 2005 | Stockholm, Sweden | Not stated | PM10: Fe = 39% (mainly Fe3O4); Si = 6%; Al = 3%; Ca = 1%; Cu < 1%; Ba< 1%; Mn < 1% | Urban street PM10 | A549 | PM10 9–70 μg/ml (5–40 μg/cm2), 4 h | Underground PM10 more genotoxic and oxidative-stress inducing than urban PM10. |
| Karlsson [ | 2006 | Stockholm, Sweden | Not stated | Not stated (may be same as [ | Wood boiler PM; tyre wear PM10/PM2.5; urban PM10 | A549; monocyte-derived macrophages | PM10 70 μg/ml (40 μg/cm2), 4 h | Underground PM10 induced more DNA damage in A549 cells than other PM tested. In macrophages, urban PM10 was most potent inducer of inflammatory mediator release. |
| Karlsson [ | 2008 | Stockholm, Sweden | Not stated | ″ | Wood boiler PM; tyre wear PM10, urban PM10; diesel PM; Fe3O4; Fe2O3; CuO; Cu-Zn | A549 | PM10 35–70 μg/ml (20–40 μg/cm2), 2–8 h | For mitochondrial depolarisation by PM10, DEP > underground = wood>street>tyre. Underground PM10 most potent ROS generator, and increased FPG sites and DNA damage more than Fe3O4, Fe2O3, CuO, Cu-Zn. |
| Lindbom [ | 2006 | Stockholm, Sweden | PM10 = 469; PM2.5 = 258 | Predominantly Fe, with some Si, Ca, Ba, Cu | Roadwear PM10; street PM10; DEP | Monocyte-derived macrophages; RPMI 2650 nasal epithelial cells; BEAS-2B | PM10 10–500 μg/ml, 18 h | Underground PM10 was less potent in eliciting IL-6, IL-8, TNFα release from macrophages, but most potent in eliciting their release from BEAS-2B. |
| Lindbom [ | 2007 | Stockholm, Sweden | ″ | ″ | Roadwear PM10, street PM10 | RAW 264.7 macrophages | PM10 1–100 μg/ml, 18 h | For inflammatory mediator release by PM10, street>underground>roadwear. For arachidonic acid release and measures of oxidative stress (DTT, TBARS), underground>street>roadwear. |
| Bachoual [ | 2007 | Metro and RER, Paris, France | PM10 Metro = 67; RER = 3609 | PM10 Metro: Fe = 41.8%; Mn < 1%; Ca = 1.25%; Cu = 1.2%; S = 2.2%; Si = 1.45%; PM10 RER: Fe = 61%; Mn = 7%; Ca = 0.2%; Cu = 0.45%; S = 1.95%; Si = 1.8% | Carbon black; TiO2; DEP | RAW 264.7 macrophages; C57BL/6 mice | PM10 RAW 264.7: 0.05–50 μg/ml (0.01–10 μg/cm2), 3–24 h; Mice: 0.22–4.48 mg/kg (5–100 μg/mouse), 8/24 h | RAW 264.7: underground PM10 sets elicited most MIP2 and TNFα release. DFX reduced TNFα release by RER but not Metro PM10. Mice: RER PM10 but not CB or DEP induced release of TNFα and MIP2, and HO-1 expression. |
| Jung [ | 2012 | Seoul, South Korea | PM10 = 34; PM2.5 = 4.5 | Not stated | None | CHO-K1; BEAS-2B | 1.6–100 μg/ml organic extract of PM10 | Underground PM10 induced significant cell death in CHO-K1, but not BEAS-2B cells. DNA micronucleus formation and strand breakage by underground PM10 inhibited by ROS scavengers. |
| Loxham [ | 2015 | Mainline underground station, Europe | PM10–2.5 = 180; PM2.5 = 71; PM0.18 = 44 | PM10–2.5: Fe = 32.1%, Cu = 1.68%; Mg = 1.63%; Ca = 1.52%; PM2.5: Fe = 28.4%; Cu = 1.41%; Mg = 2.12%; Ca = 1.52%; PM0.18: Fe = 32.9%; Cu = 1.71%; Mg = 2.56%; Ca = 2.20% (see also [ | None | 16HBE14o-; PBEC | PM10–2.5, PM2.5, PM0.18 6.25–50 μg/ml (0.6–12.5 μg/cm2), 24 h | PM crosses PBEC mucous barrier to cause concentration-dependent release of IL-8 increasing with smaller PM size. ROS generation and HO-1 induction observed, both inhibited by DFX and NAC. |
| Spagnolo [ | 2015 | Not stated | PM10–2.5 = 26; PM2.5–1 = 13; PM1–0.5 = 3.7 μg/m3; PM0.5–0.25 = 14 μg/m3 | (All ng/m3) PM10–2.5: Fe = 545, Ca = 1568, Ba = 122, Cr = 15, Cu = 14; PM2.5–1: Fe = 212, Ca = 256, Ba = 96, Cr = 3, Cu = 12; PM1–0.5: Fe = 71, Ca = 58 Ba = 99, Cr = 2 Cu = 4; PM0.5–0.25: Fe = 31; Ca = 30; Ba = 99; Cr = ND; Cu = 3 | Commercial/intermediate station area PM; outdoor PM | NCI-H727 | 70 μg/ml, 3/6/24 h | Cytotoxicity: platform PM > intermediate area PM, but smallest fractions of outdoor PM most cytotoxic. ROS generation: larger PM sizes>smaller PM sizes. Correlations between transition metals and ROS generation. |
| Moreno [ | 2017 | Barcelona (six stations), Spain | PM2.5 = 33–87 (102 during maintenance activity) | (All ng/m3) PM2.5: Fe = 8000-34,000, Ca = 500–1300 Cu = 33–331, Mn = 107–301 | M120(CB), NIST1648a | Cell-free depletion of ascorbate and GSH | PM2.5, cell-free | Antioxidant depletion not associated with PM mass. Antioxidant depletion positively associated with Cu, As, Mn, Zn, Ba, ascorbate depletion negatively associated with Fe |
| Janssen [ | 2014 | Mainline underground station, Europe | PM10 = 409; PM2.5 = 143 | Not stated (see [ | PM10 and PM2.5: urban background; continuous traffic; stop-go traffic; farm | Cell-free depletion of ascorbate, DTT, ESR | PM10 and PM2.5, cell-free | Underground PM had greatest oxidative potential of all PM types studied. |
| Gali [ | 2017 | Hong Kong | PM10–2.5 = 10 ± 5; PM2.5 = 48 ± 13 | Data as graph only, Fe ≈ 0.2% (similar to other PM sets in study) | PM10–2.5 and PM2.5: above ground railway journey; bus journey; ambient site | RAW 264.7 macrophages | 10–100 μg PM suspension, 4/24 h | Underground PM10–2.5 had greatest negative effect on cell viability. Little difference across PM2.5 sets. Mass/mass: underground PM10–2.5 was best generator of ROS. Mass/volume: above ground PM was more potent. No association with Fe. |
Papers arising from the RAPTES series of studies
| First Author | Year (sampling/exposure) | Underground | [Airborne PM] (μg/m3 unless stated) | Underground PM Composition | Comparator PM | Model | Exposure Conditions | Sample Size | Findings |
|---|---|---|---|---|---|---|---|---|---|
| Steenhof [ | 2011 (June 2007–February 2008) | Mainline underground station, Europe (same as [ | PM10–2.5 = 58; PM2.5–0.18 = 38; PM0.18 = 83; PNC = 39,000/cm2 | Fe = 30.5%; Cu = 2.7%; Zn = 1.2% | Urban background; continuous traffic; stop-go traffic; truck traffic; farm; steelworks; harbour | RAW 264.7 macrophages | 6.25–100 μg/ml (3.68–58.8 μg/cm2), 16 h | N/A | All sizes of underground PM were most potent in reducing cell viability. Coarse underground PM most potent inducer of TNFα and MIP-2 release, otherwise traffic PM generally more pro-inflammatory. |
| Strak [ | 2012 (March–October 2009) | ″ | PM10 = 394; PM2.5 = 140; | Fe = 154 μg/m3; Cu = 7 μg/m3; Ni = 68 ng/m3; V = 25 ng/m3 | Urban background, continuous traffic, stop-go traffic, farm | In vivo human | 5 h | 31 | FENO was associated with PM Fe, V, Cu, and water soluble Ni, and loss of FVC and FEV1 with Fe, Cu, and water soluble Ni. No association with PM10 mass or OP. |
| Steenhof [ | 2013 (March–October 2009) | ″ | ″ | ″ | ″ | ″ | ″ | ″ | OC, NO2, and endotoxin associated with nasal lavage IL-6 and IL-8. Lactoferrin associated with underground PM metal. |
| Strak [ | 2013 (March–October 2009) | ″ | ″ | ″ | ″ | ″ | ″ | ″ | Plasma CRP, fibrinogen, VWF, tPA-PAI-1, platelet count associated with PM OC, NO3−, SO42−. |
| Strak [ | 2013 (March–October 2009) | ″ | ″ | ″ | ″ | ″ | ″ | ″ | Ex vivo blood thrombin generation associated with PM NO3− and SO42−. |
| Steenhof [ | 2014 (March–October 2009) | ″ | ″ | ″ | ″ | ″ | ″ | ″ | Increase in circulating monocytes associated with PM10 and PM2.5 mass, EC, and PM OP, mainly driven by atypical characteristics of underground PM. |
Studies using in vitro-in vivo extrapolation for risk assessment of exposure to underground railway air pollution
| First Author | Year | Location | [Airborne PM] (μg/m3) | PM Composition | Comparator PM | Model | Findings |
|---|---|---|---|---|---|---|---|
| Kam [ | 2011 (sampling May–August 2010) | Los Angeles, USA | PM10–2.5 = 11 ± 2; PM2.5 = 33 ± 1 | PM10–2.5: Fe = 27%; PM2.5: Fe = 32% | PM10–2.5 and PM2.5: overground train journey; ambient | Alveolar macrophage | Underground PM enriched in Fe, Mn, Cr, Co, Ni, Cu, Ba, Mo, Cd, Eu, especially in PM2.5–0.1. In terms of water-soluble elements, only Fe and Ba were higher in underground PM. For ROS generation, underground>overground>ambient, but difference small. |
| Kam [ | 2013 (sampling May–August 2010) | ″ | ″ | ″ | PM2.5: overground railway; HGV-heavy and HGV-light freeways; stop-go road | N/A | On the basis of airborne PAH concentration, lung cancer risk was: HGV-heavy road>HGV-freeway>stop-go road>overground railway>underground railway |
| Lovett [ | 2018 (sampling May–August 2010) | ″ | ″ | ″ | ″ | N/A | Extending [ |
| Cao [ | 2017 (measurement March–August 2015) | Suzhou, China | PM2.5 regular hours: underground platform = 198 (range 86–351); carriages = 60 (45–121); PM2.5 rush hours: platform = 265 (112–365); carriages = 79 (75–145) | Not stated | 4 underground stations, 1 above ground station | N/A | PM2.5 underground stations>overground, especially in urban vs. green areas. Underground PM2.5 summer>spring. Underground exposure associated with 6390 DALYs = 375 premature deaths = 1% total deaths in the city. |