Effects of Particulate Air Pollution on the Respiratory Health of Subjects Who Live in Three Areas in Kanpur, India

2004 ◽  
Vol 59 (7) ◽  
pp. 348-358 ◽  
Author(s):  
Mukesh Sharma ◽  
V. Narendra Kumar ◽  
Subodh K. Katiyar ◽  
Richa Sharma ◽  
Bhanu P. Shukla ◽  
...  
Author(s):  
Jacopo Mariani ◽  
Chiara Favero ◽  
Michele Carugno ◽  
Laura Pergoli ◽  
Luca Ferrari ◽  
...  

Air pollution exposure has been linked to modifications of both extracellular vesicle (EV) concentration and nasal microbiota structure (NMB), which might act as the respiratory health gatekeeper. This study aimed to assess whether an unbalanced NMB could modify the effect of particulate matter (PM) exposure on plasmatic EV levels. Due to two different NMB taxonomical profiles characterized by a widely different relative abundance of the Moraxella genus, the enrolled population was stratified into Mor− (balanced NMB) and Mor+ (unbalanced NMB) groups (Moraxella genus’s cut-off ≤25% and >25%, respectively). EV features were assessed by nanoparticle tracking analysis (NTA) and flow-cytometry (FC). Multivariable analyses were applied on EV outcomes to evaluate a possible association between PM10 and PM2.5 and plasmatic EV levels. The Mor− group revealed positive associations between PM levels and plasmatic CD105+ EVs (GMR = 4.39 p = 0.02) as for total EV count (GMR = 1.92 p = 0.02). Conversely, the Mor+ group showed a negative association between exposure and EV outcomes (CD66+ GMR = 0.004 p = 0.01; EpCAM+ GMR = 0.005 p = 0.01). Our findings provide an insight regarding how a balanced NMB may help to counteract PM exposure effects in terms of plasmatic EV concentration. Further research is necessary to understand the relationship between the host and the NMB to disentangle the mechanism exerted by inhaled pollutants in modulating EVs and NMB.


2013 ◽  
Vol 42 (4) ◽  
pp. 924-934 ◽  
Author(s):  
Saskia M. Willers ◽  
Charlotta Eriksson ◽  
Lars Gidhagen ◽  
Mats E. Nilsson ◽  
Göran Pershagen ◽  
...  

1999 ◽  
Vol 13 (2) ◽  
pp. 266-273 ◽  
Author(s):  
P. Tiitanen ◽  
K.l Timonen ◽  
J J. Ruskanen ◽  
A Mirme ◽  
J Pekkanen

2000 ◽  
Vol 12 (sup3) ◽  
pp. 233-244 ◽  
Author(s):  
W. MacNee, X. Y. Li, P. Gilmour, K. Do

2021 ◽  
pp. 103052
Author(s):  
Phuong T.M. Tran ◽  
Max G. Adam ◽  
Kwok Wai Tham ◽  
Stefano Schiavon ◽  
Jovan Pantelic ◽  
...  

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Luyi Li ◽  
Dayu Hu ◽  
Wenlou Zhang ◽  
Liyan Cui ◽  
Xu Jia ◽  
...  

Abstract Background The adverse effects of particulate air pollution on heart rate variability (HRV) have been reported. However, it remains unclear whether they differ by the weight status as well as between wake and sleep. Methods A repeated-measure study was conducted in 97 young adults in Beijing, China, and they were classified by body mass index (BMI) as normal-weight (BMI, 18.5–24.0 kg/m2) and obese (BMI ≥ 28.0 kg/m2) groups. Personal exposures to fine particulate matter (PM2.5) and black carbon (BC) were measured with portable exposure monitors, and the ambient PM2.5/BC concentrations were obtained from the fixed monitoring sites near the subjects’ residences. HRV and heart rate (HR) were monitored by 24-h Holter electrocardiography. The study period was divided into waking and sleeping hours according to time-activity diaries. Linear mixed-effects models were used to investigate the effects of PM2.5/BC on HRV and HR in both groups during wake and sleep. Results The effects of short-term exposure to PM2.5/BC on HRV were more pronounced among obese participants. In the normal-weight group, the positive association between personal PM2.5/BC exposure and high-frequency power (HF) as well as the ratio of low-frequency power to high-frequency power (LF/HF) was observed during wakefulness. In the obese group, personal PM2.5/BC exposure was negatively associated with HF but positively associated with LF/HF during wakefulness, whereas it was negatively correlated to total power and standard deviation of all NN intervals (SDNN) during sleep. An interquartile range (IQR) increase in BC at 2-h moving average was associated with 37.64% (95% confidence interval [CI]: 25.03, 51.51%) increases in LF/HF during wakefulness and associated with 6.28% (95% CI: − 17.26, 6.15%) decreases in SDNN during sleep in obese individuals, and the interaction terms between BC and obesity in LF/HF and SDNN were both statistically significant (p <  0.05). The results also suggested that the effects of PM2.5/BC exposure on several HRV indices and HR differed in magnitude or direction between wake and sleep. Conclusions Short-term exposure to PM2.5/BC is associated with HRV and HR, especially in obese individuals. The circadian rhythm of HRV should be considered in future studies when HRV is applied. Graphical abstract


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