Literature DB >> 32363409

SARS-CoV-2 spread in Northern Italy: what about the pollution role?

Susanna Sciomer1, Federica Moscucci2, Damiano Magrì3, Roberto Badagliacca1, Gianfranco Piccirillo1, Piergiuseppe Agostoni4,5.   

Abstract

The recent epidemic of the new SARS-CoV-2 in the northern regions of Italy is putting the organization of the Italian health system under serious attack. The current emergency requires all possible efforts to stem the spread of the virus. In this context, it is clear that we have the urgent need to rely upon etiopathogenetic data, in order to do all possible efforts to block the epidemic. However, observing the trend of the infections in China and the geographic areas of the main outbreaks, it could be hypothesized that air pollution plays a role. In particular, it has been previously demonstrated, in specific populations, a role of particulate matter in worsening clinical presentation of virus infection in airways. Without prejudice to the ascertained virus spread by air droplets or contaminated surfaces, the factors that could have favored its spread remain to be investigated. Moreover, if these observations were to be confirmed, when the health emergency is resolved, it will be mandatory to redesign an economic-productive model in balance with the environment.

Entities:  

Keywords:  COVID-19; PM-10; PM-2.5; Pollution; SARS-CoV-2

Mesh:

Year:  2020        PMID: 32363409      PMCID: PMC7196178          DOI: 10.1007/s10661-020-08317-y

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


Recent SARS-CoV2-2 outbreak in China and Italy cast many doubts about possible mechanisms underlying its spread and diffusion in the environment. It is well known that the SARS-CoV-2 possesses a high pathogenicity and transmissibility. Indeed, droplets and inter-human contacts represent the preferred way of this virus transmission (Han and Yang 2018, Han and Yang 2020), and the reported high resistance of the SARS-CoV2-2 in the air as well as on the hard surfaces (i.e., copper or plastic) (Van Doremalen et al. 2020; Kampf et al. 2020) enhances the virus ability to infect a high number of subjects. However, there is a growing interest with respect all possible factors capable to increase its pathogenicity in response to the observed difference in the outcome of the infected patients as well as in the geographical distribution of the virus in China and, particularly, in Italy. Accordingly, there are well-known pre-existing conditions which can predispose to a worse outcome. Undoubtedly, smokers have been identified as a high-risk category and more prone and susceptible to MERS-CoV infection (Seys, 2018), probably due to both dipeptidyl peptidase-4 mRNA and protein overexpression, inversely correlated with lung function and diffusing capacity parameters. More recent data on SARS-CoV-2 disease (COVID-19) pointed out that the oxidative stress could alter the pulmonary air-blood barrier, thus creating a substrate for a more serious acute respiratory distress syndrome in smokers (Cai, 2020). Besides the smoking habits, air pollutants’ exposure might play a pivotal role. Indeed, air pollution is responsible for between 3 and 7 million deaths worldwide per year, and it still represents a serious public health issue due to increasing industrialization and the rapid expansion of urban environments. (Niemann, 2017). Particularly, the urban pollution is a complex cocktail of chemicals which is broadly characterized into gases, semi-volatile liquids, and particles. During the last few years, many reports dealing with this topic have been published. In a relatively recent study, conducted in Lombardy (Carugno, 2016), it has been shown that some pollutants are associated to an increased risk of complications and hospitalization for respiratory syncytial virus bronchiolitis (RSV) (Carugno, 2016). The same study found a close association between short- and medium-term particulate matter 10 (PM-10) exposures and increased risk of hospitalization due to RSV bronchiolitis among infants. These data strengthened another report by Ye Q. and colleagues (Ye, 2016) where it has been demonstrated that air pollutants significantly increase the risk of RSV infection with dosage, lag, and cumulative effects. Similarly, Carugno et al. have previously demonstrated the dangerous exposition of the Northern Italy population to air pollutants (Carugno, 2018); in their study, they described the short-term effects of PM-10 and NO2 exposure in Lombardy, where increasing concentrations of air pollution were associated with increased mortality and hospital admissions. Accordingly, it is reasonable to assume that the prolonged cellular oxidative stress induced by the inhaled pollutants should be considered a predisposing condition for the severe impact of respiratory viruses on respiratory system. In such a context, it might be conceivable that some air pollutants, specifically of PM-2.5 and PM-10, might favor not only the virus pathogenicity but also its spread. Indeed, as it survives for several hours, even days, on inert surfaces (Van Doremalen, 2020), it could be hypothesized that particular atmospheric conditions constitute further facilitate of diffusion. Supporting the abovementioned hypothesis, the empirical observation that geographical areas with very high levels of pollutants in the air, such as Hubei region in China and Northern Italy, are also those with the highest number of infected and, consequently, of deaths. The rigid measures undertaken in China have resulted in a drastic reduction of contagions by inter-human contact; however, it is conceivable that the reduction of pollutants, consequent to the stop of industrial production and human activities, may have guaranteed a further reduction in the spread of contagion. In fact, during the quarantine, established by governments, the concentrations of pollutants were measured by the satellites of the European Space Agency, and the results have been compared with the concentrations detected in the same period of the last year and in the period before the quarantine, finding a significant reduction in the concentrations of pollutants (McMahon, 2020, Bartels, 2020). These data could be really useful to focus health system effort on avoiding the spread of SARS-CoV-2 in specific seasons or in particular geographic areas. All considered, when the public health emergency is resolved, we must not waste time, and we must pursue all the necessary health and economic policies to create an environmental balance for maintaining health and human activities and a more physiological air substrate to avoid all potentially lethal consequences of a new virus presence.
  9 in total

1.  Haze is a risk factor contributing to the rapid spread of respiratory syncytial virus in children.

Authors:  Qing Ye; Jun-Fen Fu; Jian-Hua Mao; Shi-Qiang Shang
Journal:  Environ Sci Pollut Res Int       Date:  2016-07-20       Impact factor: 4.223

2.  PM10 exposure is associated with increased hospitalizations for respiratory syncytial virus bronchiolitis among infants in Lombardy, Italy.

Authors:  Michele Carugno; Francesco Dentali; Giovanni Mathieu; Andrea Fontanella; Jacopo Mariani; Lorenzo Bordini; Gregorio Paolo Milani; Dario Consonni; Matteo Bonzini; Valentina Bollati; Angela Cecilia Pesatori
Journal:  Environ Res       Date:  2018-06-22       Impact factor: 6.498

3.  Air pollution exposure, cause-specific deaths and hospitalizations in a highly polluted Italian region.

Authors:  Michele Carugno; Dario Consonni; Giorgia Randi; Dolores Catelan; Laura Grisotto; Pier Alberto Bertazzi; Annibale Biggeri; Michela Baccini
Journal:  Environ Res       Date:  2016-03-09       Impact factor: 6.498

Review 4.  Oxidative Stress and Cardiovascular Risk: Obesity, Diabetes, Smoking, and Pollution: Part 3 of a 3-Part Series.

Authors:  Bernd Niemann; Susanne Rohrbach; Mark R Miller; David E Newby; Valentin Fuster; Jason C Kovacic
Journal:  J Am Coll Cardiol       Date:  2017-07-11       Impact factor: 24.094

Review 5.  Persistence of coronaviruses on inanimate surfaces and their inactivation with biocidal agents.

Authors:  G Kampf; D Todt; S Pfaender; E Steinmann
Journal:  J Hosp Infect       Date:  2020-02-06       Impact factor: 3.926

6.  The transmission and diagnosis of 2019 novel coronavirus infection disease (COVID-19): A Chinese perspective.

Authors:  Yu Han; Hailan Yang
Journal:  J Med Virol       Date:  2020-03-12       Impact factor: 2.327

7.  DPP4, the Middle East Respiratory Syndrome Coronavirus Receptor, is Upregulated in Lungs of Smokers and Chronic Obstructive Pulmonary Disease Patients.

Authors:  Leen J M Seys; W Widagdo; Fien M Verhamme; Alex Kleinjan; Wim Janssens; Guy F Joos; Ken R Bracke; Bart L Haagmans; Guy G Brusselle
Journal:  Clin Infect Dis       Date:  2018-01-06       Impact factor: 9.079

8.  Aerosol and Surface Stability of SARS-CoV-2 as Compared with SARS-CoV-1.

Authors:  Neeltje van Doremalen; Trenton Bushmaker; Dylan H Morris; Myndi G Holbrook; Amandine Gamble; Brandi N Williamson; Azaibi Tamin; Jennifer L Harcourt; Natalie J Thornburg; Susan I Gerber; James O Lloyd-Smith; Emmie de Wit; Vincent J Munster
Journal:  N Engl J Med       Date:  2020-03-17       Impact factor: 91.245

9.  Sex difference and smoking predisposition in patients with COVID-19.

Authors:  Hua Cai
Journal:  Lancet Respir Med       Date:  2020-03-11       Impact factor: 30.700

  9 in total
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1.  Analyzing the severity of coronavirus infections in relation to air pollution: evidence-based study from Saudi Arabia.

Authors:  Abdulnoor A J Ghanim
Journal:  Environ Sci Pollut Res Int       Date:  2021-08-27       Impact factor: 4.223

2.  Does solar ultraviolet radiation play a role in COVID-19 infection and deaths? An environmental ecological study in Italy.

Authors:  Giancarlo Isaia; Henri Diémoz; Francesco Maluta; Ilias Fountoulakis; Daniela Ceccon; Alcide di Sarra; Stefania Facta; Francesca Fedele; Giuseppe Lorenzetto; Anna Maria Siani; Gianluca Isaia
Journal:  Sci Total Environ       Date:  2020-11-20       Impact factor: 7.963

3.  Inflammation at the Crossroads: the Combined Effects of COVID-19, Ageing, and Air Pollution.

Authors:  P J Martin; S Billet; Y Landkocz; B Fougère
Journal:  J Frailty Aging       Date:  2021

4.  Community Risk Factors in the COVID-19 Incidence and Mortality in Catalonia (Spain). A Population-Based Study.

Authors:  Quim Zaldo-Aubanell; Ferran Campillo I López; Albert Bach; Isabel Serra; Joan Olivet-Vila; Marc Saez; David Pino; Roser Maneja
Journal:  Int J Environ Res Public Health       Date:  2021-04-04       Impact factor: 3.390

Review 5.  Effect of COVID-19 on air quality and pollution in different countries.

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Journal:  J Transp Health       Date:  2021-03-26

6.  Particulate matter (PM10) enhances RNA virus infection through modulation of innate immune responses.

Authors:  Richa Mishra; Pandikannan Krishnamoorthy; S Gangamma; Ashwin Ashok Raut; Himanshu Kumar
Journal:  Environ Pollut       Date:  2020-07-13       Impact factor: 8.071

7.  Impact of COVID-19 outbreak measures of lockdown on the Italian Carbon Footprint.

Authors:  Benedetto Rugani; Dario Caro
Journal:  Sci Total Environ       Date:  2020-05-29       Impact factor: 10.753

8.  Particulate matter and SARS-CoV-2: A possible model of COVID-19 transmission.

Authors:  Nguyen Thanh Tung; Po-Ching Cheng; Kai-Hsien Chi; Ta-Chi Hsiao; Timothy Jones; Kelly BéruBé; Kin-Fai Ho; Hsiao-Chi Chuang
Journal:  Sci Total Environ       Date:  2020-08-05       Impact factor: 7.963

9.  Effects of air pollution on the potential transmission and mortality of COVID-19: A preliminary case-study in Tarragona Province (Catalonia, Spain).

Authors:  Montse Marquès; Joaquim Rovira; Martí Nadal; José L Domingo
Journal:  Environ Res       Date:  2020-10-12       Impact factor: 6.498

10.  Examining the status of forest fire emission in 2020 and its connection to COVID-19 incidents in West Coast regions of the United States.

Authors:  Srikanta Sannigrahi; Francesco Pilla; Arabinda Maiti; Somnath Bar; Sandeep Bhatt; Ankit Kaparwan; Qi Zhang; Saskia Keesstra; Artemi Cerda
Journal:  Environ Res       Date:  2022-01-29       Impact factor: 8.431

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