Does Nonsteroidal Anti-inflammatory Drug Use Modify All-Cause and Cause-Specific Mortality Associated with PM2.5 and Its Components? A Nationally Representative Cohort Study (2007–2017) DOI Creative Commons
Wanzhou Wang, Chao Yang, Fulin Wang

et al.

Environment & Health, Journal Year: 2024, Volume and Issue: 3(1), P. 14 - 25

Published: Oct. 22, 2024

Several studies reported that nonsteroidal anti-inflammatory drug (NSAID) use could alleviate subclinical effects of short-term exposure to fine particulate matter (PM2.5). However, whether chronic NSAID mitigate the long-term PM2.5 and its components on population mortality has been unknown. Based a national representative survey 47,086 adults (2007-2010) with follow-up information primary cause death (until 2017), we investigated associations major components, including black carbon (BC), ammonium (NH4 +), nitrate (NO3 -), organic (OM), sulfate (SO4 2-), all-cause cause-specific using Cox proportional hazards model. We also evaluated effect modification by (including broad NSAIDs, aspirin, or ibuprofen) interaction models. Long-term exposures were associated increased risks mortality, where BC, OM, SO4 2- showed stronger associations. Ibuprofen risks, while no significant modifying aspirin observed. For instance, along per interquartile range increment in concentration (34.8 μg/m3), hazard ratios (HRs) 1.21 (95% CI: 1.19, 1.22) 1.10 1.01, 1.19) nonibuprofen ibuprofen groups (P for = 0.026), respectively. Cause-specific analyses indicated mainly cardiovascular disease (CVD) especially ischemic heart (IHD) attributable components. Stratified found more apparent mitigating among participants without diseases, ≤50 years, female participants, rural residents, those lower education levels. Our findings suggested potential implications reducing caused through personalized interventions.

Language: Английский

AMPK agonist AICAR ameliorates maternal hepatic lipid metabolism disorder, inflammation, and fibrosis caused by PM2.5 exposure during pregnancy DOI Creative Commons

Teng Wan,

Zhuan Chen,

Jiakui Li

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: March 13, 2025

Liver is an important target organ of ambient fine particulate matter (PM2.5). Numerous studies have shown that PM2.5 exposure can cause liver lipid metabolism disorders and other damage in mammals. However, the impact on health during pregnancy, a sensitive life stage, remains understudied, underlying mechanisms are also unknown. Given critical role adenosine 5'-monophosphate activated protein kinase (AMPK) regulating inflammation, we hypothesize AMPK activation may mitigate maternal hepatic disorders, reduce attenuate fibrosis induced by pregnancy. To test this hypothesis, pregnant C57BL/6 mice were randomly assigned to 4 groups: filtered air (FA) + NS (normal saline), PM2.5+NS, FA AICAR (acadesine, activator), PM2.5+AICAR. PM2.5+NS PM2.5+AICAR groups continuously exposed with whole-body chamber, while two chamber. Simultaneously, received intraperitoneal injections agonist (200 mg/kg∙bw per day) from gestational day 13 (GD13) GD17, administered normal saline injection. We found dyslipidemia mice, which was alleviated treatment. Histopathological analysis showed pregnancy deposition biochemical assays revealed triglyceride cholesterol levels significantly increased after PM2.5, whereas treatment ameliorated Furthermore, disrupted expression key genes proteins associated synthesis, fibrosis, mitigated these effects. These findings demonstrated ameliorates reduces attenuates caused be action for injury

Language: Английский

Citations

0

The impact of PM2.5 and its constituents on gestational diabetes mellitus: a retrospective cohort study DOI Creative Commons
Weiqi Liu, Haidong Zou, Weiling Liu

et al.

BMC Public Health, Journal Year: 2024, Volume and Issue: 24(1)

Published: Aug. 19, 2024

There is increasing evidence that exposure to PM

Language: Английский

Citations

0

Non-optimum Temperatures Modified the Associations between PM2.5 and its Components and Hospitalizations for Chronic Kidney Disease in China DOI Creative Commons
Fulin Wang, Wanzhou Wang, Feifei Zhang

et al.

Global Transitions, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 1, 2024

Language: Английский

Citations

0

Does Nonsteroidal Anti-inflammatory Drug Use Modify All-Cause and Cause-Specific Mortality Associated with PM2.5 and Its Components? A Nationally Representative Cohort Study (2007–2017) DOI Creative Commons
Wanzhou Wang, Chao Yang, Fulin Wang

et al.

Environment & Health, Journal Year: 2024, Volume and Issue: 3(1), P. 14 - 25

Published: Oct. 22, 2024

Several studies reported that nonsteroidal anti-inflammatory drug (NSAID) use could alleviate subclinical effects of short-term exposure to fine particulate matter (PM2.5). However, whether chronic NSAID mitigate the long-term PM2.5 and its components on population mortality has been unknown. Based a national representative survey 47,086 adults (2007-2010) with follow-up information primary cause death (until 2017), we investigated associations major components, including black carbon (BC), ammonium (NH4 +), nitrate (NO3 -), organic (OM), sulfate (SO4 2-), all-cause cause-specific using Cox proportional hazards model. We also evaluated effect modification by (including broad NSAIDs, aspirin, or ibuprofen) interaction models. Long-term exposures were associated increased risks mortality, where BC, OM, SO4 2- showed stronger associations. Ibuprofen risks, while no significant modifying aspirin observed. For instance, along per interquartile range increment in concentration (34.8 μg/m3), hazard ratios (HRs) 1.21 (95% CI: 1.19, 1.22) 1.10 1.01, 1.19) nonibuprofen ibuprofen groups (P for = 0.026), respectively. Cause-specific analyses indicated mainly cardiovascular disease (CVD) especially ischemic heart (IHD) attributable components. Stratified found more apparent mitigating among participants without diseases, ≤50 years, female participants, rural residents, those lower education levels. Our findings suggested potential implications reducing caused through personalized interventions.

Language: Английский

Citations

0