| Literature DB >> 35128092 |
Andrés Valderrama1, Maria Isabel Zapata1, Juan C Hernandez1, Jaiberth A Cardona-Arias2.
Abstract
Preclinical evidence about the neutrophil-mediated response in exposure to air pollutants is scattered and heterogeneous. This has prevented the consolidation of this research field around relevant models that could advance towards clinical research. The purpose of this study was to systematic review the studies of the neutrophils response to air pollutants, following the recommendations of the Cochrane Collaboration and the PRISMA guide, through 54 search strategies in nine databases. We include 234 studies (in vitro, and in vivo), being more frequent using primary neutrophils, Balb/C and C57BL6/J mice, and Sprague-Dawley and Wistar rats. The most frequent readouts were cell counts, cytokines and histopathology. The temporal analysis showed that in the last decade, the use of mice with histopathological and cytokine measurement have predominated. This systematic review has shown that study of the neutrophils response to air pollutants started 40 years ago, and composed of 100 different preclinical models, 10 pollutants, and 11 immunological outcomes. Mechanisms of neutrophils-mediated immunopathology include cellular activation, ROS production, and proinflammatory effects, leading to cell-death, oxidative stress, and inflammatory infiltrates in lungs. This research will allow consolidating the research efforts in this field, optimizing the study of causal processes, and facilitating the advance to clinical studies.Entities:
Keywords: Air pollutants; Cell cultures; Cytokines; Environmental pollution; Inflammation; Murine model; Neutrophils; Particulate matter; Systematic review
Year: 2022 PMID: 35128092 PMCID: PMC8810373 DOI: 10.1016/j.heliyon.2022.e08778
Source DB: PubMed Journal: Heliyon ISSN: 2405-8440
Search syntax applied in each database.
| Search 1 | Search 2 | Search 3 | |
|---|---|---|---|
| PubMed | (particulate matter [Title/Abstract] OR air pollution [Title/Abstract]) AND (neutrophils [Title/Abstract]) | (particulate matter [Title/Abstract] OR air pollution [Title/Abstract]) AND (granulocyte [Title/Abstract]) | (particulate matter [Title/Abstract] OR air pollution [Title/Abstract]) AND (white blood cell [Title/Abstract]) |
| Science-Direct | Title, abstract, keywords: (particulate matter OR air pollution) AND neutrophils | Title, abstract, keywords: (particulate matter OR air pollution) AND granulocyte | Title, abstract, keywords: (particulate matter OR air pollution) AND white blood cell |
| Scielo | (ab:(particulate matter OR air pollution)) AND (ab:(neutrophils)) | (ab:(particulate matter OR air pollution)) AND (ab:(granulocyte)) | (ab:(particulate matter OR air pollution)) AND (ab:(white blood cell)) |
| LILACS | (tw:(particulate matter OR air pollution)) AND (tw:(neutrophils)) | (tw:(particulate matter OR air pollution)) AND (tw:(granulocyte)) | (tw:(particulate matter OR air pollution)) AND (tw:(white blood cell)) |
| Google Scholar | allintitle: ((particulate matter OR air pollution) AND neutrophils) | allintitle: ((particulate matter OR air pollution) AND granulocyte) | allintitle: ((particulate matter OR air pollution) AND white blood cell) |
| Infection and Inmunity | For abstract or title " (particulate matter OR air pollution) AND neutrophils" (match all words) | For abstract or title " (particulate matter OR air pollution) AND granulocyte" (match all words) | For abstract or title " (particulate matter OR air pollution) AND white blood cell" (match all words) |
| EPA | DC.title:(particulate AND DC.title:matter AND DC.title:OR AND DC.title:air AND DC.title:pollution) AND DC.title:AND ANDDC.title:neutrophils | DC.title:(particulate AND DC.title:matter AND DC.title:OR AND DC.title:air AND DC.title:pollution) AND DC.title:AND ANDDC.title: granulocyte | DC.title:(particulate AND DC.title:matter AND DC.title:OR AND DC.title:air AND DC.title:pollution) AND DC.title:AND ANDDC.title: white blood cell |
| OECD i Library | From (Abstract contains ‘(particulate matter OR air pollution)’) AND from (Abstract contains ‘neutrophils’) AND from (IGO collection contains ‘OECD’) | From (Abstract contains ‘(particulate matter OR air pollution)’) AND from (Abstract contains ‘granulocyte’) AND from (IGO collection contains ‘OECD’) | From (Abstract contains ‘(particulate matter OR air pollution)’) AND from (Abstract contains ‘white blood cell’) AND from (IGO collection contains ‘OECD’) |
| HEI | (particulate matter OR air pollution) AND neutrophils | (particulate matter OR air pollution) AND granulocyte | (particulate matter OR air pollution) AND white blood cell |
Note 1: The searches were carried out in Spanish without finding additional results. A total of 54 search strategies were applied (3 in English +3 in Spanish x 9 databases). Note 2: Combining the terms particulate matter OR air pollution in a unique search yielded the same studies as separating them into two searches (one for each term). This was not the case for the terms "neutrophils", "granulocytes" and "white blood cells", for which separate searches (one for each term) returned more results than a single search (with all three terms linked with "OR").
Figure 1Study search and selection flowchart.
Percentage distribution of in vitro studies (N = 80).
| Subtype | Model | n | % between the subtype | Total % |
|---|---|---|---|---|
| Cell lines | Respiratory tract epithelial cells | 24 | 52.2 | 30 |
| RAW 264.7 | 5 | 10.9 | 6.3 | |
| Human aortic endothelial cells (HAEC) | 2 | 4.3 | 2.5 | |
| Murine lung epithelial cells (MLE-12) | 2 | 4.3 | 2.5 | |
| Human monocytic cells (MM6) | 2 | 4.3 | 2.5 | |
| Primary culture | Respiratory tract epithelial cells | 19 | 37.3 | 23.8 |
| Neutrophils (unspecified) | 10 | 19.6 | 12.5 | |
| Rat/mouse/rabbit macrophages | 8 | 15.7 | 10.0 | |
| Human alveolar macrophages | 8 | 15.7 | 10.0 | |
| Dendritic cells | 6 | 11.8 | 7.5 | |
| PBMC | 3 | 5.9 | 3.8 | |
| Differentiated human monocytes in macrophages | 2 | 3.9 | 2.5 | |
The following cell lines presented n = 1: murine macrophages J774, THP-1, HaCaT, 3LL, HTB54, HL60, L929, 4T1, ATII, RLE-6TN, BW5147, R1, EL4, P815, and TG180.
The following primary culture presented n = 1: human monocytes, mouse bone marrow monocytes, human neutrophils, rat neutrophils, primary tracheal epithelial cells of mouse, dendritic cells, endothelial cells, fibroblasts, rat fibroblasts Primary human keratinocytes, rat macrophages, rat alveolar macrophages, mouse bone marrow-derived macrophages, virgin CD4+ T-cells, human CD8+ T-cells, rat leukocytes, rat neonatal cardiomyocytes, and mast cells.
Percentage distribution of in vivo studies (N = 193).
| Subtype | Model | n | % between the subtype | Total % |
|---|---|---|---|---|
| Mice | Balb/C | 57 | 48.3 | 29.5 |
| C57BL6/J | 40 | 33.9 | 20.7 | |
| ICR | 4 | 3.4 | 2.1 | |
| TO | 3 | 2.5 | 1.6 | |
| Kunming | 3 | 2.5 | 1.6 | |
| CD-1 | 3 | 2.5 | 1.6 | |
| C3HeB/FEJ | 2 | 1.7 | 1.0 | |
| DO11.10 | 2 | 1.7 | 1.0 | |
| Rats | Sprague-Dawley | 33 | 50.0 | 17.1 |
| Wistar | 17 | 25.8 | 8.8 | |
| Fischer-344 | 9 | 13.6 | 4.7 | |
| SH (Spontaneously hypertensive) | 3 | 4.5 | 1.6 | |
| SHR/NCrIBR | 3 | 4.5 | 1.6 | |
| WKY (Wistar Kyoto) | 3 | 4.5 | 1.6 | |
| Rabbits | New Zealand white rabbits | 5 | -- | 2.6 |
| Hamster | Syrian Hamsters ( | 4 | -- | 2.1 |
| Guinea pigs | Hartley Guinea pigs | 3 | -- | 1.6 |
The following mice strains presented n = 1: Albins (Mus musculus), Ahr knockout, Deficient in apolipoprotein E (ApoE-/-), Deficient in MyD88 (MyD88−/−), Homozygotes with mutations in the TNFp55 (Tnfrsf1a) and p75 (Tnfrsf1b) receptor genes, Endogamic (A, AKR, C3, B6, CBA, DBA/2, FVB/N, and F1 specific crosses and backcrosses), Null mutants in EC-SOD, Transgenics (CD2-LacZ80/HazfBR), Transgenics that overexpress EC-SOD, AKR/J, B6C3F1, CB6F1, Hgu CftrTgH, IL-13−/− and IL-4-/IL-13−/−, IL-4−/− and MHC II−/−, IL-17−/−, IL17Ra−/− and IL23p19−/−, Jα18−/−, NC/Nga, NIH, Nlrp3 (−/−), Thy1. 1, TRPC6−/− and TRPC6+/-, Stat1 - -, VAChT-KD and 4Get.
The following rats strains presented n = 1: SHHF (Spontaneously Hypertensive Heart Failure), SH/NHsd, SPF HsdCpb: WU, SD, and Long-Evans.
Percentage distribution of the types of contaminant and immunological outcome studied.
| n | % | |
|---|---|---|
| PM10, PM2.5, PM0.1 | 107 | 45.7 |
| PM2.5 | 45 | 19.2 |
| PM10 | 35 | 15.0 |
| PM0.1 | 26 | 11.1 |
| Ozone (O3) | 16 | 6.8 |
| Sulfur dioxide (SO2) | 1 | 0.4 |
| Secondary Organic Aerosols (SOA) | 1 | 0.4 |
| Zinc Sulfate (ZnSO4) Aerosol | 1 | 0.4 |
| Concentrated environmental particles (CAP) and ozone (O3) | 1 | 0.4 |
| Nicotine | 1 | 0.4 |
| Differential counts | 164 | 85.0 |
| Histopathology | 103 | 53.4 |
| Immunohistochemistry | 35 | 18.1 |
| Immunoglobulins | 22 | 11.4 |
| Cytokines | 167 | 71.4 |
| Cytokine mRNA | 18 | 10.8 |
| Cytokine proteins | 109 | 65.3 |
| RNA and cytokine proteins | 40 | 24.0 |
| Biomarkers | 92 | 39.3 |
| Oxidative Activity | 67 | 28.6 |
N = 193 since it only applies to in vivo studies.
N = 167 since it only applies to studies that measured cytokines.
Figure 2Percentage distribution of the leading preclinical models and immunological outcomes identified according to the publication period. A. Preclinical models, according to the study period. B. Immunological outcomes, according to the study period.
Main immunological results in murine, rat, and neutrophil culture models exposed to air pollutants.
| Murine models | ||
|---|---|---|
| C57BL6/J mice | BALB/c mice | Type of pollutant |
| Increased neutrophils in blood and lung tissue, accompanied by other cell types such as macrophages, monocytes, eosinophils, and lymphocytes [ | Increased neutrophils in blood and lung tissue, accompanied by other cell types such as macrophages, monocytes, eosinophils, and lymphocytes [ | Particulate matter (PM10, PM2.5, PM0.1), and DEP. |
| Increased pro-inflammatory cytokines (mRNA and protein) | Increased pro-inflammatory cytokines (mRNA and protein) | Cigarette smoke and Particulate matter (PM10, PM2.5). |
| Increased oxidative stress | Increased oxidative stress | ROFA, Diesel, DEP, and PM10 |
| Increased expression of plasminogen-1 activator inhibitor (PAI-1), Saa3, and CRP [ | Increased release of LDH (lactate dehydrogenase), alkaline phosphatase, and Saa3 [ | Particulate matter (PM2.5, PM10), DEP, O3 and tobacco smoke. |
| Inflammatory infiltration and lung tissue damage [ | Inflammatory infiltration and lung tissue damage [ | PM2.5, ROFA, and DEP. |
| Increased neutrophils in blood and lung tissue, accompanied by other cell types such as macrophages, monocytes, eosinophils, and lymphocytes [ | Increased neutrophils in blood and lung tissue, accompanied by other cell types such as macrophages, monocytes, eosinophils, and lymphocytes [ | Particulate matter (PM10, PM2.5, PM0.1) |
| Increase in pro-inflammatory cytokines (mRNA and protein) [ | Increase in pro-inflammatory cytokines (mRNA and protein) [ | DEP, CAP, ROFA, O3, and PM10. |
| Increased oxidative stress [ | Increased oxidative stress [ | Particulate matter (PM10, PM2.5, PM0.1), DEP, and secondary organic aerosols (SOA). |
| Increased expression of CRP [ | Increased release of LDH (lactate dehydrogenase), γ-glutamyl transferase (GGT), and n-acetyl glucosaminidase (NAG) [ | Particulate matter (PM10, PM2.5, PM0.1), and CAP. |
| Inflammatory infiltration and lung tissue damage [ | Inflammatory infiltration and lung tissue damage [ | CFA, Particulate matter (PM10, PM2.5), ROFA, and DEP. |
| Increase in pro-inflammatory cytokines [ | Increase in pro-inflammatory cytokines [ | Particulate matter (PM10, PM2.5, PM0.1) |
| Production of free oxygen radicals (ROS) [ | Decreased expression of iNOS and NADPH oxidase components [ | Particulate matter (PM10, PM2.5, PM0.1). |
| Eicosanoid enhancement (LTB4, LTC4, and PGE2) [ | Reduction in STAT1 activation [ | Particulate matter (PM10, PM2.5, PM0.1). |
Some reports indicate a decrease in pro-inflammatory cytokines.
Some reports indicate a decrease in oxidative stress.
Figure 3Immunological effects of PM, on neutrophil activation, and pulmonary and systemic homeostasis. Inhalation and deposition of PM in the lungs trigger inflammatory responses leading to the release of inflammatory cytokines (MCP-1, MIP-1α, MIP-2, GM-CSF, KC, IL-6 and IL-1β); and recruitment of innate immune cells (neutrophils, macrophages, lymphocytes and eosinophils). Neutrophil activation (degranulation, phagocytosis and NETs) induces the production of ROS and the release of inflammatory mediators. These cellular mechanisms also promote changes at the pulmonary level, including increased oxidative stress, and cellular cytotoxicity with LDH release. These events are associated with increased circulating levels of adhesion molecules, inflammatory mediators (MPO and ET-1), cytokines, increased platelet activity and vascular permeability. Together, these responses favor the development of pulmonary diseases such as COPD, lung cancer, pneumonia and bronchial asthma; and systemic inflammatory responses that are related to pathologies such as atherosclerosis, thrombosis, insulin resistance and heart failure.