Air Pollution as a Driver of Recurrent Upper-Airway Infections and Comorbid Health Issues
Abstract
1. Introduction
2. Molecular and Cellular Patho-Mechanisms of the Air Pollution and Immune System Interaction
3. Air Pollution and Upper-Airway Diseases
4. From Upper-Airway Injury to Multisystem Disease: Mechanistic Pathways Linking Air Pollution to Systemic Health
5. Preventive, Therapeutic, and Translational Strategies
5.1. Environmental and Exposure Reduction
5.2. Individual Protective Behaviors
5.3. Clinical Therapeutic Interventions
5.4. Microbiome and Immunomodulatory Approaches
5.5. Translational Research and Precision Medicine
6. Future Outlook and Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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| Pathophysiological Domain | Major Pollutant Triggers | Study Design | Key Molecular Targets/Pathways | Cellular and Tissue Effects | Consequences for Host Defense | References |
|---|---|---|---|---|---|---|
| Oxidative stress and genotoxic injury | Fine and ultrafine particulate matter (PM2.5, nanoparticles), ozone (O3), nitrogen dioxide (NO2) | Narrative reviews (human, in vitro, in vivo evidence); controlled in vitro experimental study using human bronchial epithelial cells (HBEpC) and THP-1-derived macrophages exposed to ozone; biomonitoring study (plant model: Tradescantia pallida); epidemiological and experimental studies | Excess ROS/RNS generation; depletion of antioxidant defenses (glutathione, SOD); activation of redox-sensitive transcription factors (NF-κB, AP-1); impaired Nrf2 signaling; upregulation of pro-inflammatory cytokines (IL-8, TNF-α) and proteomic alterations (e.g., AKR1B10) | Lipid peroxidation, protein carbonylation, oxidative DNA base modifications, single-strand DNA breaks; epithelial senescence and aberrant repair; enhanced inflammatory signaling | Persistent mucosal inflammation, epithelial remodeling, impaired innate immune responses, and reduced pathogen clearance | [79,80,81] |
| Epithelial barrier dysfunction and mucociliary impairment | Particulate matter, gaseous pollutants (NO2, O3), traffic-related pollutants such as diesel exhaust particles (DEP) | In vitro ALI models (human airway epithelial cells, primary nasal cells); experimental pollutant exposure (O3, DEP, NO2); molecular and functional assays | Disruption of tight/adherens junctions (claudins, occludin, ZO-1, E-cadherin); altered ciliary function; increased mucin expression (MUC5AC, MUC5B); activation of alarmin cytokines (IL-25, IL-33, TSLP) and inflammatory mediators (IL-6, IL-8) | Increased epithelial permeability (decreased TEER, increased FITC-dextran flux); reduced ciliary beat frequency; ciliary loss/injury; goblet cell hyperplasia and mucus hypersecretion | Impaired mucociliary clearance, mucus retention, enhanced pathogen colonization and biofilm formation | [82,83,84,85,86,87] |
| Innate immune dysregulation and cytokine imbalance | PM2.5, diesel exhaust particles (DEPs), oxidative gases (O3, NO2) | THP-1-ASC-GFP reporter cells, primary human macrophages, and BEAS-2B/monocyte co-culture exposed to PM2.5 (ROFA, CAPs, SRM 1648a) and DEP (SRM 2975) ± TLR agonists (LPS, flagellin); dose–response (1–250 μg/mL, 6–24 h) with pharmacological inhibitors (MCC950, S1QEL 1.1, IL-1ra, anti-TNF-α, sTNFR1) and Nlrp3−/−, Casp1−/− models; endpoints: ASC-specks, cytokine ELISA, lysosomal integrity, mitochondrial ROS (MitoSOX), OCR (Seahorse), and ATP assays | Altered macrophage and dendritic cell signaling; impaired phagocytosis; activation of NLRP3 inflammasome (ASC-specks, caspase-1); dysregulated IL-1 family cytokines (IL-1β, IL-18); TNF-α, IL-6, CCL2; TLR4/CD14 signaling; K+ efflux; mitochondrial ROS; P2X7-ATP axis; suppressed type I/III interferon responses | Reduced microbicidal activity; altered antigen presentation; skewed cytokine profiles; lysosomal rupture; mitochondrial ultrastructural damage; impaired ATP-dependent IL-1β release (DEP-mediated sequestration) | Inefficient pathogen clearance, enhanced viral replication, and increased susceptibility to infection; enhanced viral/bacterial susceptibility and disruption of IL-1-mediated resolution pathways | [88,89,90,91,92,93,94,95] |
| Adaptive immune polarization | Chronic exposure to airborne pollutants | UPM-activated DCs directly induced Tm proliferation and expansion into mixed Th1/Th2/Th17 effector cells, including IFN-γ+/IL-17+ Th17.1 cells. These effects were largely MHC-II dependent and occurred in both asthmatic and healthy donors, demonstrating that particulate matter can act as both an adjuvant and antigen to drive pro-inflammatory T-cell responses | Altered costimulatory molecule expression on dendritic cells; cytokine-driven T-cell differentiation pathways (Th2, Th17) | Th2-mediated allergic inflammation; Th17-driven neutrophilic mucosal injury | Chronic airway inflammation and prolonged or recurrent infections | [96,97,98,99,100] |
| Epigenetic and trained immunity effects | Long-term pollutant exposure | Primary human monocytes or alveolar macrophages exposed to PM2.5/DEP (10–50 µg/mL, 7–14 days), rested 5–7 days, then rechallenged with LPS, E. coli, or influenza H1N1; metabolic (2-DG, etomoxir) and epigenetic (GSK-J4) inhibitors used; endpoints: ChIP-seq, ATAC-seq, DNA methylation, metabolomics, cytokines, single-cell RNA-seq | DNA methylation changes; histone modifications in immune regulatory genes; metabolic rewiring of myeloid cells | Persistent alteration of immune responsiveness; trained immunity or maladaptive tolerance states | Prolonged susceptibility to infection even after transient pollution exposure | [101,102,103,104,105,106,107,108,109,110] |
| Microbiome alterations and dysbiosis | Oxidative and chemical pollutants | Longitudinal study in children (asthmatic/healthy); clean vs. smog days; fecal 16S analysis with diversity and regression linking pollutants to microbiota; FeNO in asthmatics | Reduced microbial diversity; enrichment of oxidative-stress-resistant taxa (e.g., non-typable Haemophilus, Streptococcus spp.); disruption of quorum sensing and SCFA signaling | Biofilm formation, altered host–microbe interactions, impaired colonization resistance | Chronic colonization, recurrent infections, and reduced microbial-mediated immune protection | [111,112,113,114,115] |
| Pollutant–pathogen synergy | PM-bound microbes, gaseous oxidants | Human bronchial epithelial (Calu-3) cells at ALI model with repeated PM2.5 exposure followed by influenza A infection; assessed viral replication, interferon responses, innate pathways, mitochondrial/metabolic function, autophagy, barrier integrity (TEER), and particle uptake | Upregulation of pathogen adhesion receptors (e.g., ICAM family); epithelial apoptosis exposing basolateral adhesion sites; inhibition of interferon signaling | Enhanced pathogen adhesion, entry, and replication; increased local microbial inoculum via particulate carriers | Increased risk of viral and bacterial infection and prolonged disease courses | [116,117,118] |
| Author(s) & Year | Study Location/Country | Study Design & Population | Exposure/Pollutant(s) | Key Findings (URTI Focus) |
|---|---|---|---|---|
| Volkmer et al., 1995 [149] | South Australia/Adelaide | Cross-sectional, parent questionnaire; Preschool children (age 4–5), n = 14,124 | Indoor fuel type (gas stove, LPG, wood), flueless gas heater, parental smoking | Excessive colds (proxy for URTI): natural gas stove increased risk (OR 1.14); flueless gas heater, wood fire, parental smoking not significantly associated with colds |
| Ware et al., 2014 [150] | Rural Alaska (2 regions) | Cross-sectional, in-home survey, 561 children in 328 households | Household mold | Household concern with mold associated with elevated prevalence of respiratory infections (OR 1.6–2.5) |
| Noonan et al., 2012 [151] | Libby, MT, USA | Prospective community intervention; school children surveyed over 4 winter periods; >1100 wood stoves replaced. | Ambient PM2.5 from wood smoke (biomass combustion) | Lower PM2.5 associated with reduced odds of respiratory infections, including colds [25.4% reduction (95% CI 7.6–39.7%)] and throat infections [45.1% reduction (95% CI 29.0–57.6%)] |
| Browning et al., 2009 [152] | Seattle, WA, USA (high vs. low ambient wood smoke neighborhoods) | Cross-sectional questionnaire; children aged 1–5 years (subset of total households: 325 high smoke, 257 low smoke); initial + 2 follow-up questionnaires | Ambient wood smoke (PM10) | A higher prevalence of URTI symptoms was observed in high wood smoke areas. Congestion was more common in the initial survey (46.4% vs. 28.6%) and persisted at follow-up (29.4% vs. 0%), compared with low smoke areas |
| Honicky et al., 1985 [153] | Not specified (likely US) | Historical prospective study; preschool children (n = 62) with matched internal controls (age, sex, town) | Indoor wood-burning stoves | Moderate and severe URTI symptoms (colds, congestion, mild respiratory illness) were significantly greater in children living in homes heated by wood-burning stoves compared with controls (p < 0.001) |
| Van Miert et al., 2011 [154] | Louvain-la-Neuve, Bastogne, Lessines, Belgium (rural and urban mix) | Cross-sectional; adolescents aged ~15 years, n = 744 | Indoor wood fuel use (heating/cooking) | No increased risk of self-reported URI symptoms with wood fuel use |
| Hassen et al., 2020 [155] | Legambo District, South Wollo Zone, Ethiopia | Community-based matched case–control; under-five children (n = 139 cases, 278 controls) | Type of stove/household fuel, indoor air pollution, ventilation | ARI risk increased with the use of traditional stoves, carrying a child while cooking, and the absence of windows (URTI-relevant factors) |
| Sanbata et al., 2014 [156] | Addis Ababa, Ethiopia | Community-based cross-sectional study; 422 households with children under 5 years | Biomass fuels (wood, crop residues, dung) vs. cleaner fuels (kerosene, electricity) | A total of 60% of children lived in households that used biomass fuel. Two-week prevalence of ARI: 23.9%. Biomass fuel use is associated with increased odds of ARI (OR 2.97, 95% CI: 1.38–3.87). Kerosene use also elevated risk (OR 1.96, 95% CI: 0.78–4.89). |
| Dagne et al., 2020 [157] | Ethiopia, University of Gondar Comprehensive Specialized Hospital | Institution-based cross-sectional; under-five children attending the pediatric ward (n = 422) | Demographic, hygiene, and residence factors | Prevalence of ARI (proxy for URTI) 27.3%. Significant associations: age < 12 months (AOR = 3.39), maternal age 16–27 (AOR = 1.95) and 28–33 (AOR = 2.73), rural residence (AOR = 2.27), lack of maternal handwashing awareness (AOR = 2.79), lack of meningitis (AOR = 0.22). |
| Alemayehu et al., 2014 [158] | Gondar city, Ethiopia | Community-based cross-sectional; 715 children under 5 years | Household cooking fuel: high-pollution biomass fuels (wood, dung, straw) vs. cleaner fuels (LPG, electricity) | Prevalence of ARI 26.3%. Children in households using high-pollution fuels: 3.89 times more likely to have ARI (OR = 3.89; 95% CI: 1.54–28.25). Other significant factors: kitchen without windows (OR = 3.53), child playing nearby cooking area (OR = 7.08), child carried on lap/back during cooking (OR = 2.68). |
| Cai et al., 2021 [159] | 21 sub-Saharan African countries | Cross-sectional analysis using Demographic and Health Surveys data; 368,366 children < 5 years for cough | Ambient PM2.5 (prior-month average) | Prevalence: cough 20.5%. Overall, no significant association between short-term PM2.5 exposure and cough. Slight positive associations in countries with medium-to-high Human Development Index (cough OR = 1.022 per 1 μg/m3 increase PM2.5) |
| Zheng et al., 2022 [160] | 21 cities across China | Systematic review and meta-analysis; children < 18; 33 time-series studies with >18 million outpatient visits | PM2.5, PM10, SO2, NO2, O3 | Short-term exposure to all pollutants is associated with increased outpatient visits for respiratory diseases among children. URTI-specific outcomes were not reported separately. |
| Oh et al., 2020 [161] | Seven major cities, Republic of Korea | Time-series; children aged 0–3 years | PM2.5 | Higher PM2.5 associated with increased risk of acute otitis media, particularly in warm season and in children with recent URTI history (RR 1.011 per 10 μg/m3 increase; RR 1.017 in children with URTI in the prior week) |
| Martín & Sánchez, 2018 [162] | Madrid, Spain | Ecological study; children attending a Primary Health Care center, 2013–2015; 5125 consultations for URTI | NO2, SO2, CO, NOx, benzene | Positive correlation between NO2 and pediatric consultations for respiratory diseases (including URTIs). The number of consultations is significantly higher when NO2 > 40 μg/m3. Multiple regression confirmed NO2 as the main positive predictor. |
| Hajat et al., 2002 [163] | London, UK | Time-series analysis of daily GP consultations, 1992–1994; children aged 0–14 years from 45 to 47 family practices (≈268,718–295,740 patients) | SO2, PM10, NO2, O3, CO, black smoke | Childhood consultations for URTIs increased by 3.5% (95% CI 1.4–5.8%) per 10–90th percentile increase in SO2. Small positive effects for PM10 (2.0%, 95% CI −0.2 to 4.2%). O3 showed a negative association. Effects are strongest in winter. |
| Qiu et al., 2018 [164] | 17 cities in the Sichuan Basin, China | Multi-city time-series analysis; Children (≤14 years), ≈245,899 hospital admissions (all respiratory diseases); 115,788 URTI hospital admissions (all ages) | PM2.5, PM10, NO2, SO2 | Children were more vulnerable to ambient air pollution. A 10 μg/m3 increase in PM2.5, PM10, NO2, and SO2 was associated with increased hospital admissions for URTI, with the strongest effects at lag 0–2 days. Air pollution contributed to a measurable fraction of pediatric URTI hospitalizations. |
| Yu et al., 2023 [165] | 82 cities, China | Multi-city longitudinal observational study; children 0–14 years (68.73% of 3,735,934 cases) | PM2.5, PM10, NO2, SO2, CO, O3 | Positive short-term association between NO2, SO2, PM2.5, PM10, CO and influenza incidence. Strongest effects: NO2 & SO2. The effect is higher in children than in adults. Lag 1–7 days. A substantial attributable fraction of influenza cases due to NO2 and CO is higher in northern, polluted cities. |
| Li et al., 2021 [166] | Shijiazhuang, Xi’an, Nanjing, Guangzhou, China | Multi-city time-series study; children 0–14 years, pediatric outpatient visits for respiratory diseases (ICD J00–J99) | PM2.5 (also considered interaction with NO2) | Short-term exposure to PM2.5 is associated with increased pediatric outpatient visits for respiratory diseases. Strongest effects for URTIs at lag 0. Every 10 μg/m3 increase in PM2.5: URTIs +0.50% (95% CI: 0.19–0.81%). Cumulative effect (lag 0–7): +0.96% for URTIs. Greater effects in less polluted cities and on lower temperature days. |
| Yang et al., 2021 [167] | Guangzhou, Shanghai, Wuhan, Xining, China | Multi-city time-series study, children 0–14 years, 183,036 respiratory hospitalizations. | PM2.5, PM10, SO2, NO2, CO, O3 | PM2.5: +2.3% URTI hospitalizations (lag 0–7) PM10: +0.8% (lag 0–3) NO2: +2.4% (lag 0–7) SO2, CO, O3: no significant pooled effect Higher risk: children 4–14 years, cold season |
| Mondal & Paul 2020 [168] | India | Cross-sectional study; 247,743 children < 5 years | Indoor air pollution proxies: biomass cooking fuels, lack of a separate kitchen, and household smoking | Overall, 2.7% of children had acute respiratory infection (ARI) in the previous two weeks. Biomass fuel use increased ARI risk by 10% (OR 1.10, 95% CI 1.01–1.20), absence of a separate kitchen by 22% (OR 1.22, 95% CI 1.14–1.30), and household smoking by 6% (OR 1.06, 95% CI 1.00–1.12). The combined effect of biomass fuel use and no separate kitchen increased ARI risk by 35% (OR 1.35, 95% CI 1.21–1.51). |
| Woolley et al., 2020 [169] | Uganda (nationally representative survey, 15 regions, urban & rural areas) | Cross-sectional analysis of the 2016 Demographic and Health Survey. 15,405 children under 5 years old in households using wood/charcoal as primary cooking fuel (Urban ~18%, Rural ~82%) | Household air pollution from biomass fuels (wood, charcoal); associated pollutants: particulate matter, CO, NO2 | Compared with charcoal, wood exposure was associated with higher odds of fever (AOR 1.26, 95% CI 1.08–1.48), cough (1.15, 1.00–1.33), ARI (1.36, 1.11–1.66), and severe ARI (1.41, 1.09–1.85). Urban–rural differences showed higher odds of ARI in urban areas (AOR 1.77), while in rural areas, increased odds were observed for fever (1.23) and ARI (1.27) |
| Rana et al., 2019 [170] | Afghanistan (nationally representative, 34 provinces, urban & rural areas) | Cross-sectional study; 27,565 under-five children; predominantly rural (77.3%) | Indoor air pollution (IAP) from solid fuel use (SFU): kerosene, coal, lignite, charcoal, wood, animal dung, straw/grass; augmented measure: SFU + kitchen location (indoor/outdoor) to create low-, moderate-, and high-exposure groups | Overall ARI prevalence was 17.6%, higher among solid fuel use (SFU) households (18.7%) compared to non-SFU households (15.2%). High indoor air pollution exposure (SFU with indoor kitchen) was associated with increased ARI risk (aPR 1.17, 95% CI 1.03–1.32). Children in households with indoor kitchens were at higher risk, while rural–urban differences were less pronounced |
| Khan & Lohano 2018 [171] | Pakistan | Cross-sectional study; 11,040 children under 5 years | Polluting fuels (solid fuels: wood, crop residue, animal dung, charcoal, coal, shrubs/grass/straw; kerosene) vs. cleaner fuels (LPG, natural gas, biogas, electricity) | Children in households using polluting fuels are 1.5 times more likely to have ARI symptoms. Breastfeeding, vaccination, mothers’ education, and older maternal age reduce the risk of ARI. Household crowding and a separate kitchen were not significant. |
| Xu et al., 2022 [172] | 25 major cities in China | Multi-city time-series study. Children aged 0–18 years; 97,858 URTI hospitalizations | CO, NO2, SO2, O3 | Ozone (O3) and nitrogen dioxide (NO2) exposure were associated with increased upper respiratory tract infection (URTI) hospitalizations, whereas carbon monoxide (CO) and sulfur dioxide (SO2) showed little to no effect. Age-specific differences were observed, with children under 1 year being more sensitive to SO2 and O3, and children aged 4–6 years more sensitive to CO and NO2. The effects of O3 were stronger during the warm season |
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Ali, H.; Marinova, P.; Velikova, T. Air Pollution as a Driver of Recurrent Upper-Airway Infections and Comorbid Health Issues. Sinusitis 2026, 10, 9. https://doi.org/10.3390/sinusitis10010009
Ali H, Marinova P, Velikova T. Air Pollution as a Driver of Recurrent Upper-Airway Infections and Comorbid Health Issues. Sinusitis. 2026; 10(1):9. https://doi.org/10.3390/sinusitis10010009
Chicago/Turabian StyleAli, Hassan, Petya Marinova, and Tsvetelina Velikova. 2026. "Air Pollution as a Driver of Recurrent Upper-Airway Infections and Comorbid Health Issues" Sinusitis 10, no. 1: 9. https://doi.org/10.3390/sinusitis10010009
APA StyleAli, H., Marinova, P., & Velikova, T. (2026). Air Pollution as a Driver of Recurrent Upper-Airway Infections and Comorbid Health Issues. Sinusitis, 10(1), 9. https://doi.org/10.3390/sinusitis10010009

