| Literature DB >> 30875989 |
Egide Kalisa1,2, Stephen Archer3, Edward Nagato4, Elias Bizuru5, Kevin Lee6, Ning Tang7, Stephen Pointing8, Kazuichi Hayakawa9, Donnabella Lacap-Bugler10.
Abstract
Aerosolized particulate matter (PM) is a complex mixture that has been recognized as the greatest cause of premature human mortality in low- and middle-income countries. Its toxicity arises largely from its chemical and biological components. These include polycyclic aromatic hydrocarbons (PAHs) and their nitro-derivatives (NPAHs) as well as microorganisms. In Africa, fossil fuel combustion and biomass burning in urban settings are the major sources of human exposure to PM, yet data on the role of aerosols in disease association in Africa remains scarce. This review is the first to examine studies conducted in Africa on both PAHs/NPAHs and airborne microorganisms associated with PM. These studies demonstrate that PM exposure in Africa exceeds World Health Organization (WHO) safety limits and carcinogenic PAHs/NPAHs and pathogenic microorganisms are the major components of PM aerosols. The health impacts of PAHs/NPAHs and airborne microbial loadings in PM are reviewed. This will be important for future epidemiological evaluations and may contribute to the development of effective management strategies to improve ambient air quality in the African continent.Entities:
Keywords: carcinogenic; microorganisms; nitrated polycyclic aromatic hydrocarbons; particulate matter; polycyclic aromatic hydrocarbons
Mesh:
Substances:
Year: 2019 PMID: 30875989 PMCID: PMC6466367 DOI: 10.3390/ijerph16060941
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Figure 1A schematic representation of the complex relationships between biological and chemical components of particulate matter (PM). (1) The sources of airborne PM; (2) the interaction of chemical and biological components of PM through the influence of T °C (temperature), RH (relative humidity), and LRT (long range transport); (3) routes of exposure to the mixture of PM2.5 (particulate matter with aerodynamic diameter less than 2.5 micrometers) that can enter the lungs and PM10 (particulate matter with aerodynamic diameter less than 10 micrometers) that are trapped in the nasopharyngeal from chemical and biological origins; and (4) possible health outcomes (Chronic Obstructive Pulmonary Diseases (COPD), asthma, and cancer).
Figure 2Ambient PM2.5 (particles less than 2.5 μm in diameter) (left), and ambient PM10 (particles less than 10 μm in diameter) (right), mean concentration as reported in studies from traffic (back color), urban background (blue), and rural site (green) in African countries such as Algeria [45], Benin [46], Burkina Faso [47], Ethiopia [48], Ghana [49,50], Kenya [51], Mali [52], Morocco [53], Niger [54], Nigeria [49], Rwanda [34], Senegal [54,55], South Africa [56,57], Tanzania [58], and Uganda [59].
Summary of epidemiological and toxicological studies conducted in Africa on health effects of exposure to a mass concentration of ambient particulate matter size fraction. Particulate matter: ambient PM2.5 (particles less than 2.5 μm in diameter), ambient PM10 (particles less than 10 μm in diameter), TSP (total suspended particles).
| Study | Study Location | Type of Study | Study Population | Statistical Analysis | PM Size Fraction | Association and Health Outcome |
|---|---|---|---|---|---|---|
| Mentz et al. [ | Durban, South Africa | Longitudinal | N = 423 | Generalized estimating equation (GEE); 0–5 day lags; single lags and distributed lags | PM10 and PM2.5 | Exposure to PM10 was associated with significantly increased occurrence of respiratory symptoms among children (cough, shortness of breath, and chest tightness). |
| Lin et al. [ | South Africa, Ghana | Cross-sectional | N = 45,625, | Logistic regression—3-level multilevel model | PM2.5 | PM2.5 was found to be associated with overall disability and with cognition and mobility. |
| Makamure et al. [ | Kwazulu-Natal, South Africa | Longitudinal/questionnaire | N = 71, | Linear multivariate | PM10 and PM2.5 | Air pollution exposure results in increased expression of cluster of differentiation (CD14) in airway macrophages. |
| Ana et al. [ | Ibadan, Nigeria | Cross-sectional | N = 140 | ANOVA and Spearman-rank correlation | PM10 | Higher PM10 burden was observed to cause declining lung function. |
| Wichmann & Voyi [ | Cape Town, South Africa | Case-crossover | N = 149,667 | Logistic regression | PM10 | PM10 was associated with cardiovascular disease, respiratory disease, cerebrovascular disease, and mortality. |
| Mustapha et al. [ | Ibadan, Nigeria | Cross-sectional | N = 1397 | Logistic regression | TSP, PM2.5 and PM10 | Traffic pollution was associated with respiratory symptoms (wheeze, night cough, phlegm, rhinitis, and asthma in school children). |
| Kaphingst et al. [ | Durban, South Africa | Longitudinal | N = 873 | Regression models | PM10 and PM2.5 | Schoolchildren living near industries were more likely to develop asthma and airway hyperreactivity rather than those living far away from industries. |
Figure 3Map of Africa showing countries where studies on polycyclic aromatic hydrocarbons (PAHs) and their nitro-derivatives (NPAHs) in ambient air were conducted. The sampling duration, concentration of PAHs and NPAHs, and number of analyzed PAHs and NPAHs species; shaded black color indicates PAHs and NPAHs studies carried in Algeria [117], Egypt [116], and Rwanda [34] and shaded gray color indicates PAHs studies carried in Kenya [118], Mali [120], Sierra Leonne [121], Senegal [120], South Africa [119], and Uganda [122].
Summary of epidemiological and toxicological studies conducted in Africa on health effects of exposure to mass concentration of ambient particulate matter size fraction.
| Reference | City, Country | Type of Site | PM Size | Main PAH Detected | Main NPAHs Detected | Source Identified | Association and Health Outcome |
|---|---|---|---|---|---|---|---|
| Kalisa et al. [ | Kigali, Rwanda | Roadside/ambient air | PM2.5 and PM10 | BPe, Phe, Flu, BaP, and BbF | 9-NA, 2-NP+2-NFR, 6-NBaP | Wood burning and automobile emissions | The lifetime excess cancer risk exceeding the WHO guideline values and classified as definite risks. |
| Taylor et al. [ | Western Sierra Leone | Residence/ambient air and indoor air | PM2.5 | Phe, DBA, and BPe | Burning wood | PAHs bound PM2.5 from biomass fuel from kitchens continue to be hazardous for people of developing countries. | |
| Geldenhuys et al. [ | South Africa | Underground/ambient air | TSP | Pyr, Flu, and BaP | Diesel vehicle | Diesel exhaust emissions—recently confirmed as carcinogenic which is why the health of underground workers is of concern. | |
| Val et al. [ | Bamako, Mali | Desert area/ambient air | PM10 | IDP, BPe, BbF, and BaP | Traffic, biomass burning, and dust | The population of Mali—highly exposed to toxic particulate pollution that could lead to strong adverse health effects. | |
| Dieme et al. [ | Dakar (Senegal) | Urban/ambient air | PM2.5 | BbF, BPe, IDP, and BaP | Combustion of fossil fuels | PAH and Heavy metals in PM2.5 induced with dose-dependent toxicity, relying on inflammatory processes. | |
| Hassan & Khoder [ | Dokki, Egypt | Urban/ambient air | TSP | BbF, BPe, DBA, and Chr | Unburned fossil fuels and vehicle emissions | PAHs in the particulate phase in the ambient air posing a potential health risk for the population of Egypt. | |
| Arinaitwe et al. [ | Entebbe, Uganda | Watershed/ambient air | PM2.5 | Phe, Flu, and Pyr | Combustion of petroleum and biomass burning | Population of Uganda is likely to be exposed to toxic PAHs bound PM2.5 from biomass burning. | |
| Nassar et al. [ | Great Cairo, Egypt | Traffic side/ambient air | TSP | Phe, Flu, BbF, and Chr | 1-NP | Gasoline engine | PAHs and NPAHs with carcinogenic and/or mutagenic health effects detected in Greater Cairo. |
| Ladji et al. [ | Algiers, Algeria | Suburban/ambient air | PM10 | Acy, Phe, and BbF | 9-NA, 2-NFR | Motor vehicles | The population of Algeria exposed to the occurrence of nicotine in particulates associated with PAHs. |
| Muendo et al. [ | Nairobi, Kenya | Traffic/ambient air | PM10 | Pyr, BbF, and BPe | Gasoline and diesel | Contribution of carcinogenic PAHs bound PM10 in Nairobi—approximately 30%. |
Abbreviations of NPAH compounds: 9-nitroanthracene (9-NA), 2-nitropyrene (2-NP); 2-nitrofluoranthene (2-NFR), 1-nitroperylene (1-NP), 6-nitrochrysene, and 6-nitrobenz(a)pyrene (6-NBaP). Abbreviations of PAH compounds: Acenaphthylene (Acyl), phenanthrene (Phe), fluoranthene (Flu), pyrene (Pyr), benz(a)anthracene (BaA), chrysene (Chr), benzo(b)fluoranthene (BbF), benzo(a)pyrene (BaP), dibenz(a,h)anthracene (DBA), benz(g,h,i)perylene (BPe), and indeno (1,2,3-cd)pyrene (IDP). Particulate matter: PM 2.5 (particles less than 2.5 μm in diameter), PM10 (particles less than 10 μm in diameter), TSP (total Suspended particle).
Summary of the available information on the types of study, biological pollutants analyzed (either singly or in combination with PM), study population and location, observed health effects, and the details of cited references.
| Study | Study Location | PM Size | Biological Components Analyzed | Enumeration Techniques. | Dominant Species Identified | Association and Health Outcome |
|---|---|---|---|---|---|---|
| Abdel-Rahim et al. [ | Assiut, Egypt | TSP | Fungi | Culture-dependent | The current study suggests that improvement of antimicrobial additives of paints may be a promising approach to reduce paint biodeterioration and, subsequently, air contamination of indoor environments. | |
| Osman et al. [ | Bolak, Egypt | >8 µm and <8 µm | Bacteria/Fungi | Culture-dependent | Dust particles accumulated in air conditioning filters and floor surfaces and these would constitute important sources of airborne bacteria and fungi inside these hospitals. | |
| Setlhare et al. [ | South Africa | TSP | Bacteria/Fungi | Culture-dependent | Bacillus, Kocuria, Staphylococcus, Arthrobacter, Candida, Aureobasidium, Penicillium, and Phoma | Airborne bacteria and fungi that cause disease, especially in those populations with suppressed host immunity defenses in South Africa. Fungal genera identified (e.g., Candida), causes food spoilage and fungal infections in human |
| Rahoma [ | Tobruk, Libya | 0.2 µm | Bacteria/Fungi | Culture-dependent | Inhalation of associated pathogenic viable microorganisms and chemical contaminants such as carcinogens and small particles may trigger other physiological reactions (e.g., asthma and cardiovascular events) in humans. | |
| Kellogg et al. [ | Bamako, Mali | TSP | Bacteria/Fungi | Culture-dependent | Opportunistic human pathogens were isolated from air sample and could cause severe respiratory diseases |