Singh Tanusha, Bello Braimoh, Jeebhay Mohamed F
Immunology & Microbiology, National Institute for Occupational Health, National Health Laboratory Service, Johannesburg, South Africa.
Department of Environmental Health, Faculty of Health Sciences, University of Johannesburg, Johannesburg, South Africa.
Front Allergy. 2021 Nov 18;2:747591. doi: 10.3389/falgy.2021.747591. eCollection 2021.
Cytokines elicit a pro-inflammatory response by modifying the airway microenvironment in patients with acute or chronic asthma. The expression pattern of several distinct cytokines could be a useful discriminator in asthma. This study aimed to identify asthma subject groupings based on common inflammatory patterns and to determine the relationship between these identified patterns and asthma-associated clinical indices. A sub-group of 76 dental healthcare workers (HCWs) identified from a larger cross-sectional study of 454 dental HCWs in five dental institutions were evaluated further. A self-administered questionnaire elicited the health and employment history of subjects. Sera were analyzed for atopic status, latex sensitization, and 12 cytokines (IL-1β, 3, 4, 5, 6, 7, 8, 10, 12p70, eotaxin, GM-CSF, TNF-α). Pre and post-bronchodilator spirometry was performed on all HCWs. Data clustering and factor analysis were used to identify inflammatory cluster patterns of cytokines. Associations between the cytokine cluster groupings and relevant asthma-associated clinical indices were determined using multivariate logistic regression. The classification of asthma subtype based on cytokine patterns demonstrated both eosinophilic and neutrophilic inflammatory responses. Four phenotypically distinct subgroups relating to the severity of inflammation (acute or chronic) of the cell types were identified. Cytokine determinants for the neutrophilic subtype included IL-1β, 6, 8, 10, 12p70, and TNF-α whereas for the eosinophilic subtype these included IL-3, 4, 5, 7, eotaxin, and GM-CSF. The multivariate models showed a significant association between work-related chest symptoms and all four inflammatory patterns. However, stronger associations were observed for the acute neutrophilic (OR = 6.00, < 0.05) compared to acute and chronic eosinophilic responses (OR = 4.30, < 0.05; OR = 4.93, < 0.05), respectively. Subjects with airway obstruction were more likely to have a mixed cellular infiltrate. The odds of work-exacerbated asthma were increased in acute or chronic eosinophilia (OR = 7.75 and 8.12; < 0.05), respectively as well as with acute neutrophilia (OR = 6) sub-type. This study demonstrated that neutrophilic inflammatory cell asthma phenotypes coexist with eosinophilic inflammatory phenotypes suggesting a possible dual pathway for asthma in dental health workers, probably due to mixed exposures to high molecular weight (e.g., latex) and low molecular weight (e.g., acrylates) agents.
细胞因子通过改变急性或慢性哮喘患者的气道微环境引发促炎反应。几种不同细胞因子的表达模式可能是哮喘的一个有用鉴别指标。本研究旨在基于常见炎症模式确定哮喘受试者分组,并确定这些确定的模式与哮喘相关临床指标之间的关系。从对五个牙科机构的454名牙科医护人员进行的一项更大规模横断面研究中确定的76名牙科医护人员亚组进行了进一步评估。一份自我管理的问卷收集了受试者的健康和工作史。分析血清中的特应性状态、乳胶致敏情况以及12种细胞因子(IL-1β、3、4、5、6、7、8、10、12p70、嗜酸性粒细胞趋化因子、GM-CSF、TNF-α)。对所有医护人员进行支气管扩张剂前后的肺功能测定。数据聚类和因子分析用于确定细胞因子的炎症聚类模式。使用多变量逻辑回归确定细胞因子聚类分组与相关哮喘相关临床指标之间的关联。基于细胞因子模式的哮喘亚型分类显示出嗜酸性粒细胞和中性粒细胞炎症反应。确定了与细胞类型炎症严重程度(急性或慢性)相关的四个表型不同的亚组。中性粒细胞亚型的细胞因子决定因素包括IL-1β、6、8、10、12p70和TNF-α,而嗜酸性粒细胞亚型的这些决定因素包括IL-3、4、5、7、嗜酸性粒细胞趋化因子和GM-CSF。多变量模型显示工作相关的胸部症状与所有四种炎症模式之间存在显著关联。然而,与急性和慢性嗜酸性粒细胞反应(OR = 4.30,<0.05;OR = 4.93,<0.05)相比,急性中性粒细胞反应(OR = 6.00,<0.05)的关联更强。气道阻塞的受试者更可能有混合性细胞浸润。急性或慢性嗜酸性粒细胞增多症(OR = 7.75和8.12;<0.05)以及急性中性粒细胞增多症(OR = 6)亚型中工作加重型哮喘的几率增加。本研究表明,中性粒细胞炎症细胞哮喘表型与嗜酸性粒细胞炎症表型共存,这表明牙科医护人员哮喘可能存在双重途径,可能是由于混合接触高分子量(如乳胶)和低分子量(如丙烯酸酯)物质所致。