Abstract
Variations in blood count parameters are potential mechanisms involved in the occurrence of cardiovascular events caused by particulate matter (PM) exposure. This study aims to estimate the effect of PM10 exposure on blood count parameters with potential to mediate a cardiovascular event. We used data from 2211 participants of the 1st Portuguese Health Examination Survey (INSEF, 2015) with available information on blood count parameters and living within a 30-km radius of at least one air quality monitoring station with available PM10 measurements. Generalised linear models were used to assess both short (3 days) and long-term effects (1 year) of PM10 exposure on blood count parameters. Both short and long-term PM10 effects on blood count parameters were found, with males and females affected in a different way. In the short-term scenario, we found a 2.76% (95% CI: 0.65–4.87) increase in white blood cells among females per each 10μg/m3 PM10 increment. Additionally, there was a 2.96% (95% CI: 0.80–5.12) increase in red cell distribution width (RDW), per each 10μg/m3 PM10 increment, among males, when considering the long-term scenario. In conclusion, we detected some sex-differential associations regarding the short and long-term effect of PM10 exposure on blood count parameters with potential to mediate a cardiovascular event, namely on the RDW parameter, that were never been described. It is uncertain whether changes in blood count parameters due to PM10 exposure constitute an adverse health outcome or it reflects only a normal immunity response. However, due to its potential to trigger cardiovascular events, it is essential to reduce PM10 levels exposure to protect the population’s cardiovascular health.
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Biino G, Santimone I, Minelli C, Sorice R, Frongia B, Traglia M, Ulivi S, di Castelnuovo A, Gögele M, Nutile T, Francavilla M, Sala C, Pirastu N, Cerletti C, Iacoviello L, Gasparini P, Toniolo D, Ciullo M, Pramstaller P, Pirastu M, de Gaetano G, Balduini CL (2013) Age- and sex-related variations in platelet count in Italy: a proposal of reference ranges based on 40987 subjects’ data. PLoS One 8(1):e54289. https://doi.org/10.1371/journal.pone.0054289
Cohen AJ, Brauer M, Burnett R, Anderson HR, Frostad J, Estep K, Balakrishnan K, Brunekreef B, Dandona L, Dandona R, Feigin V, Freedman G, Hubbell B, Jobling A, Kan H, Knibbs L, Liu Y, Martin R, Morawska L, Pope CA III, Shin H, Straif K, Shaddick G, Thomas M, van Dingenen R, van Donkelaar A, Vos T, Murray CJL, Forouzanfar MH (2017) Estimates and 25-year trends of the global burden of disease attributable to ambient air pollution: an analysis of data from the Global Burden of Diseases Study 2015. Lancet 389:1907–1918. https://doi.org/10.1016/S0140-6736(17)30505-6
Cozzi E, Wingard CJ, Cascio WE, Devlin RB, Miles JJ, Bofferding AR, Lust RM, van Scott MR, Henriksen RA (2007) Effect of ambient particulate matter exposure on hemostasis. Transl Res 149:324–332. https://doi.org/10.1016/j.trsl.2006.12.009
Dabass A, Talbott EO, Venkat A, Rager J, Marsh GM, Sharma RK, Holguin F (2016) Association of exposure to particulate matter (PM2.5) air pollution and biomarkers of cardiovascular disease risk in adult NHANES participants (2001-2008). Int J Hyg Environ Health 219:301–310. https://doi.org/10.1016/j.ijheh.2015.12.002
Davalos AD, Luben TJ, Herring AH, Sacks JD (2017) Current approaches used in epidemiologic studies to examine short-term multipollutant air pollution exposures. Ann Epidemiol 27(2):145–153. https://doi.org/10.1016/j.annepidem.2016.11.016
Ding Z, Xie Z, Su Y et al (2020) The lagged effect of air pollution on human eosinophils: a distributed lag non-linear model. Int J Occup Med Environ Health 33:299–310. https://doi.org/10.13075/ijomeh.1896.01528
Elbarbary M, Honda T, Morgan G, Guo Y, Guo Y, Kowal P, Negin J (2020) Ambient air pollution exposure association with anaemia prevalence and haemoglobin levels in Chinese older adults. Int J Environ Res Public Health 17(9):3209. https://doi.org/10.3390/ijerph17093209
Emmerechts J, Alfaro-Moreno E, Vanaudenaerde BM et al (2010) Short-term exposure to particulate matter induces arterial but not venous thrombosis in healthy mice. J Thromb Haemost 8:2651–2661. https://doi.org/10.1111/j.1538-7836.2010.04081.x
ENVIRON (2018) User’s guide on Comprehensive Air Quality Model with Extensions (CAMx), version 6.50. report
ESRI (2019) https://www.esri.com/en-us/arcgis/about-arcgis/overview
Fava C, Cattazzo F, Hu ZD et al (2019) The role of red blood cell distribution width (RDW) in cardiovascular risk assessment: useful or hype? Ann Transl Med 7:581–581. https://doi.org/10.21037/atm.2019.09.58
Ferreira J, Lopes D, Rafael S, Relvas H, Almeida SM, Miranda AI (2020) Modelling air quality levels of regulated metals: limitations and challenges. Environ Sci Pollut Res 27(27):33916–33928. https://doi.org/10.1007/s11356-020-09645-9
Gaio V, Roquette R, Dias CM, Nunes B (2019) Ambient air pollution and lipid profile: systematic review and meta-analysis. Environ Pollut 254:113036. https://doi.org/10.1016/j.envpol.2019.113036
Gama C, Monteiro A, Pio C, Miranda AI, Baldasano JM, Tchepel O (2018) Temporal patterns and trends of particulate matter over Portugal: a long-term analysis of background concentrations. Air Qual Atmos Health 11:397–407. https://doi.org/10.1007/s11869-018-0546-8
Gondalia R, Holliday KM, Baldassari A, Justice AE, Stewart JD, Liao D, Yanosky JD, Engel SM, Jordahl KM, Bhatti P, Horvath S, Assimes TL, Pankow JS, Demerath EW, Guan W, Fornage M, Bressler J, North KE, Conneely KN, Li Y, Hou L, Baccarelli AA, Whitsel EA (2020) Leukocyte traits and exposure to ambient particulate matter air pollution in the women’s health initiative and atherosclerosis risk in communities study. Environ Health Perspect 128(1):017004. https://doi.org/10.1289/EHP5360
Hamanaka RB, Mutlu GM (2018) Particulate matter air pollution: effects on the cardiovascular system. Front Endocrinol 9:680. https://doi.org/10.3389/fendo.2018.00680
Haybar H, Pezeshki SMS, Saki N (2019) Evaluation of complete blood count parameters in cardiovascular diseases: an early indicator of prognosis? Exp Mol Pathol 110:104267. https://doi.org/10.1016/j.yexmp.2019.104267
Hoek G (2017) Methods for assessing long-term exposures to outdoor air pollutants. Curr Environ Health Rep 4(4):450–462. https://doi.org/10.1007/s40572-017-0169-5
Hou J, Duan Y, Liu X, Li R, Tu R, Pan M, Dong X, Mao Z, Huo W, Chen G, Guo Y, Li S, Wang C (2020) Associations of long-term exposure to air pollutants, physical activity and platelet traits of cardiovascular risk in a rural Chinese population. Sci Total Environ 738:140182. https://doi.org/10.1016/j.scitotenv.2020.140182
ILOSTAT (2020) International Standard Classification of Education (ISCED): Aggregate levels of education. Available from: https://ilostat.ilo.org/resources/concepts-and-definitions/classification-education/
International Labour Office (2012) International Standard Classification of Occupations: ISCO-08. Available from: https://www.ilo.org/wcmsp5/groups/public/---dgreports/---dcomm/---publ/documents/publication/wcms_172572.pdf
Kim SY, Peel JL, Hannigan MP, Dutton SJ, Sheppard L, Clark ML, Vedal S (2012) The temporal lag structure of short-term associations of fine particulate matter chemical constituents and cardiovascular and respiratory hospitalizations. Environ Health Perspect 120:1094–1099. https://doi.org/10.1289/ehp.1104721
Lassale C, Curtis A, Abete I, van der Schouw YT, Verschuren WMM, Lu Y, Bueno-de-Mesquita HB() (2018) Elements of the complete blood count associated with cardiovascular disease incidence: findings from the EPIC-NL cohort study. Sci Rep 8(1):1–11. https://doi.org/10.1038/s41598-018-21661-x
Lee H, Myung W, Jeong BH, Choi H, Jhun BW, Kim H (2018) Short- and long-term exposure to ambient air pollution and circulating biomarkers of inflammation in non-smokers: a hospital-based cohort study in South Korea. Environ Int 119:264–273. https://doi.org/10.1016/j.envint.2018.06.041
Liao D, Heiss G, Chinchilli VM, Duan Y, Folsom AR, Lin HM, Salomaa V (2005) Association of criteria pollutants with plasma hemostatic/inflammatory markers: a population-based study. J Expo Anal Environ Epidemiol 15:319–328. https://doi.org/10.1038/sj.jea.7500408
Miller MR, Newby DE (2020) Air pollution and cardiovascular disease: car sick. Cardiovasc Res 116(2):279–294. https://doi.org/10.1093/cvr/cvz228
Mozos I (2015) Mechanisms linking red blood cell disorders and cardiovascular diseases. Biomed Res Int 2015:1–12. https://doi.org/10.1155/2015/682054
Mukae H, Vincent R, Quinlan K et al (2001) The effect of repeated exposure to particulate air pollution (PM10) on the bone marrow. Am J Respir Crit Care Med 163:201–209. https://doi.org/10.1164/ajrccm.163.1.2002039
Nagata Y, Yoshikawa J, Hashimoto A, Yamamoto M, Payne AH, Todokoro K (2003) Proplatelet formation of megakaryocytes is triggered by autocrine-synthesized estradiol. Genes Dev 17:2864–2869. https://doi.org/10.1101/gad.1128003
NCAR (2010) Model for Ozone and Related chemical Tracers, version 4 (MOZART-4). National Center of Atmosferic Research
Nunes B, Barreto M, Gil AP, Kislaya I, Namorado S, Antunes L, Gaio V, Santos AJ, Rodrigues AP, Santos J, Roquette R, Alves-Alves C, Castilho E, Cordeiro E, Dinis A, Prokopenko T, Silva AC, Vargas P, Lyshol H, Dias CM (2019) The first Portuguese National Health Examination Survey 2015: design, planning and implementation. J Public Health (Bangkok) 41:511–517. https://doi.org/10.1093/pubmed/fdy150
Oakes M, Baxter L, Long TC (2014) Evaluating the application of multipollutant exposure metrics in air pollution health studies. Environ Int 69:90–99. https://doi.org/10.1016/j.envint.2014.03.030
Parizadeh SM, Jafarzadeh-Esfehani R, Bahreyni A, Ghandehari M, Shafiee M, Rahmani F, Parizadeh MR, Seifi S, Ghayour-Mobarhan M, Ferns GA, Avan A, Hassanian SM (2019) The diagnostic and prognostic value of red cell distribution width in cardiovascular disease; current status and prospective. BioFactors 45(4):507–516. https://doi.org/10.1002/biof.1518
Peters A, Dockery DW, Muller JE, Mittleman MA (2001) Increased particulate air pollution and the triggering of myocardial infarction. Circulation 103:2810–2815. https://doi.org/10.1161/01.CIR.103.23.2810
Poursafa P, Kelishadi R, Amini A, Amini A, Amin MM, Lahijanzadeh M, Modaresi M (2011) Association of air pollution and hematologic parameters in children and adolescents. J Pediatr 87:350–356. https://doi.org/10.2223/jped.2115
Pranata R, Vania R, Tondas AE, Setianto B, Santoso A (2020) A time-to-event analysis on air pollutants with the risk of cardiovascular disease and mortality: a systematic review and meta-analysis of 84 cohort studies. J Evid Based Med 13:102–115. https://doi.org/10.1111/jebm.12380
R Core Team (2020) R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria
Rudel RA, Perovich LJ (2009) Endocrine disrupting chemicals in indoor and outdoor air. Atmos Environ 43:170–181. https://doi.org/10.1016/j.atmosenv.2008.09.025
Sá E, Martins H, Ferreira J, Marta-Almeida M, Rocha A, Carvalho A, Freitas S, Borrego C (2016) Climate change and pollutant emissions impacts on air quality in 2050 over Portugal. Atmos Environ 131:209–224. https://doi.org/10.1016/j.atmosenv.(2016).01.040
Scheers H, Jacobs L, Casas L, Nemery B, Nawrot TS (2015) Long-term exposure to particulate matter air pollution is a risk factor for stroke: meta-analytical evidence. Stroke 46:3058–3066. https://doi.org/10.1161/STROKEAHA.115.009913
Skamarock W (2008) A description of the advanced research WRF version 3, NCAR Tech. Note, NCAR/TN-468+STR. Natl Cent Atmos Res Boulder, Color. https://doi.org/10.5065/D68S4MVH
Textor J, van der Zander B, Gilthorpe MS, Liśkiewicz M, Ellison GTH (2016) Robust causal inference using directed acyclic graphs: the R package “dagitty”. Int J Epidemiol 45:1887–1894. https://doi.org/10.1093/ije/dyw341
Tolonen H (2013) EHES manual. Part B. Fieldwork procedures. Helsinki
UNESCO (2012) The international standard classification of education 2011, Comparative Social Research. https://ilostat.ilo.org/resources/concepts-and-definitions/classification-education/
Van Eeden SF, Hogg JC (2002) Systemic inflammatory response induced by particulate matter air pollution: the importance of bone-marrow stimulation. J Toxicol Environ Health 65:1597–1613. https://doi.org/10.1080/00984100290071685
Wang X, Wei W, Cheng S, Li J, Zhang H, Lv Z (2018) Characteristics and classification of PM2.5 pollution episodes in Beijing from 2013 to 2015. Sci Total Environ 612:170–179. https://doi.org/10.1016/j.scitotenv.2017.08.206
WHO (2011) Haemoglobin concentrations for the diagnosis of anaemia and assessment of severity. World Health Organization, Geneva
Zhang Z, Chan TC, Guo C, Chang LY, Lin C, Chuang YC, Jiang WK, Ho KF, Tam T, Woo KS, Lau AKH, Lao XQ (2018) Long-term exposure to ambient particulate matter (PM2.5) is associated with platelet counts in adults. Environ Pollut 240:432–439. https://doi.org/10.1016/j.envpol.2018.04.123
Acknowledgements
The authors are grateful to all the professionals and participants involved in the INSEF. The authors are also grateful to the Portuguese Environmental Agency (APA) for making the air quality data available.
Funding
INSEF was developed as part of the Pre-defined project financed under the Public Health Initiatives Program. “Improvement of epidemiological health information to support public health decision and management in Portugal. Towards reduced inequalities, improved health and bilateral cooperation” with a 1.500.000€ Grant from Iceland, Liechtenstein and Norway from EEA Grants and the Portuguese Government. The present study was also funded by the Portuguese Foundation for Science and Technology (FCT) (PhD Scholarship Reference: SFRH/BD/129426/2017). J. Ferreira is funded by national funds (OE), through FCT – Fundação para a Ciência e a Tecnologia, I.P., in the scope of the framework contract foreseen in the numbers 4, 5 and 6 of the article 23, of the Decree-Law 57/2016, of August 29, changed by Law 57/2017, of July 19. Thanks are also due to FCT/MCTES for the financial support to CESAM (UIDP/50017/2020+UIDB/50017/2020), through national funds.
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The INSEF survey received approval from the Ethics Committee of the Portuguese National Health Institute Doutor Ricardo Jorge, the National Data Protection Authority (Authorization n° 9348/2010) and from the regional Ethics Committees. Moreover, Ethics Committee of the Portuguese National Health Institute Doutor Ricardo Jorge approved the study protocol of this particular research. All participants provided informed consent before data collection.
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Gaio, V., Roquette, R., Monteiro, A. et al. Exposure to ambient particulate matter increases blood count parameters with potential to mediate a cardiovascular event: results from a population-based study in Portugal. Air Qual Atmos Health 14, 1189–1202 (2021). https://doi.org/10.1007/s11869-021-01007-9
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DOI: https://doi.org/10.1007/s11869-021-01007-9