Citation: Xuyang Chai, Hiu-Lok Ngan, Yuanyuan Song, Zenghua Qi, Lifang Zhao, Wenqi Chen, Shanshan Chen, Zhenhua Yang, Ruijin Li, Chuan Dong, Zhu Yang, Zongwei Cai. Real-world PM_2.5 exposure induces prostaglandin disruption and low-density lipoprotein oxidation, exacerbating atherogenesis in ApoE^−/− mice[J]. Chinese Chemical Letters, ;2025, 36(9): 110671. doi: 10.1016/j.cclet.2024.110671 shu

Real-world PM_2.5 exposure induces prostaglandin disruption and low-density lipoprotein oxidation, exacerbating atherogenesis in ApoE^−/− mice

Xuyang Chai ^{a, 1} ,
Hiu-Lok Ngan ^{a, 1} ,
Yuanyuan Song ^a ,
Zenghua Qi ^b ,
Lifang Zhao ^c ,
Wenqi Chen ^c ,
Shanshan Chen ^c ,
Zhenhua Yang ^c ,
Ruijin Li ^c ,
Chuan Dong ^c ,
Zhu Yang ^{a, d, *,} ,
Zongwei Cai ^{a, b, *,}

a.
State Key Laboratory of Environmental and Biological Analysis, Department of Chemistry, Hong Kong Baptist University, Hong Kong, China
b.
School of Environmental Science and Engineering, Guangdong University of Technology, Guangzhou 510006, China
c.
Institute of Environmental Science, College of Environmental & Resource Sciences, Shanxi University, Taiyuan 030006, China
d.
Department of Biology, Hong Kong Baptist University, Hong Kong, China

zyang@hkbu.edu.hk

zwcai@hkbu.edu.hk

Received Date: 9 July 2024
Revised Date: 18 October 2024
Accepted Date: 22 November 2024
Available Online: 23 November 2024

Figures(4)

Worsened air pollution has been linked to elevated rates of cardiovascular disease (CVD) morbidity and mortality. Atherosclerosis, a shared pathophysiological foundation for various CVD manifestations, plays a crucial role. Although foam cell formation is hypothesized to be a contributing factor, the precise mechanisms by which air pollution accelerates the advancement of atherosclerotic plaques remain unidentified. In this study, an atherosclerosis-susceptible apolipoprotein E-deficient (ApoE^−/−) mouse model was employed to examine the influence of real-world environmental PM_2.5 exposure on atherosclerosis. Metabolomic analysis was performed to identify potential biomarkers that may play a role in atherogenesis following PM_2.5 exposure. Our findings revealed that mice fed a high-cholesterol diet (HCD) exhibited susceptibility to PM_2.5 exposure, as evidenced by increased inflammation, enhanced fibrosis, and enlarged foam cell formation in the aorta. The interactive effects between PM_2.5 exposure and HCD disrupted the secretion of certain chemokines. The metabolomic data provided additional insights into how PM_2.5 exposure alters prostaglandin levels, contributing to the progression of atherosclerotic lesions. These findings enhance our understanding of the pivotal role of arachidonic acid metabolism in the etiology of PM_2.5-induced cardiovascular risks and elucidate the mechanisms by which PM_2.5 exposure leads to vascular damage in populations with high cholesterol intake.
- Air pollution,
- High-cholesterol diet,
- Cardiovascular risk,
- Metabolomics,
- Arachidonic acid metabolism
1. [1]
  WHO, New WHO Global Air Quality Guidelines aim to save millions of lives from air pollution, 2021. https://www.who.int/news/item/22-09-2021-new-who-global-air-quality-guidelines-aim-to-save-millions-of-lives-from-air-pollution.
2. [2]
  J. Marshall, Proc. Natl. Acad. Sci. U. S. A. 110 (2013) 8756. doi: 10.1073/pnas.1307735110
3. [3]
  A. Sidwell, S.C. Smith, C. Roper, J. Toxicol. Environ. Health B 25 (2022) 422–444. doi: 10.1080/10937404.2022.2142345
4. [4]
  C.C. Cho, W.Y. Hsieh, C.H. Tsai, et al., Int. J. Env. Res. Public Health 15 (2018) 1380. doi: 10.3390/ijerph15071380
5. [5]
  P. Yin, J. Guo, L. Wang, et al., Environ. Sci. Technol. Lett. 7 (2020) 95–101. doi: 10.1021/acs.estlett.9b00735
6. [6]
  Z. Qi, Y. Zhang, Z.F. Chen, et al., Ecotoxicol. Environ. Saf. 201 (2020) 110827. doi: 10.1016/j.ecoenv.2020.110827
7. [7]
  M. Kratz, Dietary cholesterol, atherosclerosis and coronary heart disease, in: A. von Eckardstein (Ed.), Atherosclerosis: Diet and Drugs, Springer Berlin Heidelberg, Berlin, Heidelberg, 2005, pp. 195–213.
8. [8]
  V.W. Zhong, L. Van Horn, M.C. Cornelis, et al., JAMA 321 (2019) 1081–1095. doi: 10.1001/jama.2019.1572
9. [9]
  X. Li, J. Gu, Q. Xiao, et al., Chin. Chem. Lett. 34 (2023) 107483. doi: 10.1016/j.cclet.2022.04.081
10. [10]
  C.H. Johnson, J. Ivanisevic, G. Siuzdak, Nat. Rev. Mol. Cell Biol. 17 (2016) 451–459. doi: 10.1038/nrm.2016.25
11. [11]
  A. Tan, X. Ma, Chin. Chem. Lett. 35 (2024) 109276. doi: 10.1016/j.cclet.2023.109276
12. [12]
  Y. Song, L. Zhao, Z. Qi, et al., J. Environ. Sci. 105 (2021) 64–70. doi: 10.1016/j.jes.2020.12.007
13. [13]
  T. Sonnweber, A. Pizzini, M. Nairz, G. Weiss, I. Tancevski, Int. J. Mol. Sci. 19 (2018) 3285. doi: 10.3390/ijms19113285
14. [14]
  B. Wang, L. Wu, J. Chen, et al., Signal Transduct. Target. Ther. 6 (2021) 94. doi: 10.15376/biores.17.1.94-108
15. [15]
  N.V. Bogatcheva, M.G. Sergeeva, S.M. Dudek, A.D. Verin, Microvasc. Res. 69 (2005) 107–127. doi: 10.1016/j.mvr.2005.01.007
16. [16]
  M.J. Vassar, C.J. Weber, J.W. Holcroft, Prostaglandins, Leukot. Essent. Fatty Acids 33 (1988) 129–135. doi: 10.1016/0952-3278(88)90152-4
17. [17]
  T. Arnould, R. Thibaut-Vercruyssen, N. Bouaziz, et al., Am. J. Pathol. 159 (2001) 345–357. doi: 10.1016/S0002-9440(10)61701-4
18. [18]
  F. Cipollone, Lupus 14 (2005) 756–759. doi: 10.1191/0961203305lu2215oa
19. [19]
  D. Kong, Y. Yu, J. Mol. Cell. Cardiol. 167 (2022) 97–105. doi: 10.1016/j.yjmcc.2022.03.011
20. [20]
  H. Yoshida, R. Kisugi, Clin. Chim. Acta 411 (2010) 1875–1882. doi: 10.1016/j.cca.2010.08.038
21. [21]
  Y.I. Miller, N. Shaklai, Biochim. Biophys. Acta 1454 (1999) 153–164. doi: 10.1016/S0925-4439(99)00027-7
22. [22]
  V. Jeney, J. Balla, A. Yachie, et al., Blood 100 (2002) 879–887. doi: 10.1182/blood.V100.3.879
1. [1]
  Xiaoxiao Wang , Bolun Wang , Fenfen Ji , Jie Yan , Jiacheng Fang , Doudou Zhang , Ji Xu , Jing Ji , Xinran Hao , Hemi Luan , Yanjun Hong , Shulan Qiu , Min Li , Zhu Yang , Wenlan Liu , Xiaodong Cai , Zongwei Cai . Discovery of plasma biomarkers for Parkinson’s disease diagnoses based on metabolomics and lipidomics. Chinese Chemical Letters, 2024, 35(11): 109653-. doi: 10.1016/j.cclet.2024.109653
2. [2]
  Yanhua Chen , Xian Ding , Jun Zhou , Zhaoying Wang , Yunhai Bo , Ying Hu , Qingce Zang , Jing Xu , Ruiping Zhang , Jiuming He , Fen Yang , Zeper Abliz . Plasma metabolomics combined with mass spectrometry imaging reveals crosstalk between tumor and plasma in gastric cancer genesis and metastasis. Chinese Chemical Letters, 2025, 36(1): 110351-. doi: 10.1016/j.cclet.2024.110351
3. [3]
  Qiongqiong Wan , Zhourui Zhang , Mengmeng Zhao , Xianqin Ruan , Yanhong Hao , Jiajun Deng , Yunlang She , Minglei Yang , Yongxiang Song , Feng Jin , Ailin Wei , Sheng Zhong , Jie Zheng , Dong Xie , Suming Chen . Efficient diagnosis of benign and malignant pulmonary nodules based on Nano-zero-valent iron enhanced serum metabolic fingerprinting. Chinese Chemical Letters, 2025, 36(10): 110794-. doi: 10.1016/j.cclet.2024.110794
4. [4]
  Yue Xu , Lingzhi Wang , Liu Yang , Renliang Xue , Haowen Zhu , Qifeng Liu , Xueqi Lv , Ruiping Zhang , Jun Tu , Qingce Zang , Yinghong Wang . Spatial metabolomics combined with transcriptomics to reveal heterogeneous metabolism and drug response in the heart of rats with heart failure. Chinese Chemical Letters, 2025, 36(7): 110958-. doi: 10.1016/j.cclet.2025.110958
5. [5]
  Meng Yu , Yanhe Zhou , Guanlin Xiao , Xinyi Jiang , Xiangyi Wang , Tong Li , Jianpeng Huang , Jiamin Gao , Junwen Shi , Xiuli Gao , Zeper Abliz , Jiuming He . A high-definition spatially resolved metabolomics method to illuminate the metabolic specificity and interconnection across mouse brain. Chinese Chemical Letters, 2026, 37(1): 111153-. doi: 10.1016/j.cclet.2025.111153
6. [6]
  Qian Wu , Yuanxia Lv , Zixuan Guo , Zhihao Zhao , Zhimin Zhang , Hongmei Lu . A Case Study and Practice of Research-Oriented Comprehensive Instrumental Analysis Laboratory Courses. University Chemistry, 2025, 40(10): 194-202. doi: 10.12461/PKU.DXHX202411063
7. [7]
  Chengying Wang , Bohan Chen , Yuming Wang , Bingyu Xie , Peishuang Yu , Xiaojie Xu , Rui Wang , Lin Miao , Xiaohui Yan , Yubo Li , Yunfei Li , Wei Huang . Advances of nanomedicine targeting the interface of cholesterol metabolism and immune evasion. Chinese Chemical Letters, 2025, 36(12): 110921-. doi: 10.1016/j.cclet.2025.110921
8. [8]
  Aolei Tan , Xiaoxiao Ma . Exploring the functional roles of small-molecule metabolites in disease research: Recent advancements in metabolomics. Chinese Chemical Letters, 2024, 35(8): 109276-. doi: 10.1016/j.cclet.2023.109276
9. [9]
  Yao-Hua Gu , Yu Chen , Qing Li , Neng-Bin Xie , Xue Xing , Jun Xiong , Min Hu , Tian-Zhou Li , Ke-Yu Yuan , Yu Liu , Tang Tang , Fan He , Bi-Feng Yuan . Metabolome profiling by widely-targeted metabolomics and biomarker panel selection using machine-learning for patients in different stages of chronic kidney disease. Chinese Chemical Letters, 2024, 35(11): 109627-. doi: 10.1016/j.cclet.2024.109627
10. [10]
  Shuyu Li , Ning Gong , Zhi-Hao Lin , Jing Chen , Ge Chen , Jun Lv , Guangyang Liu , Yi Niu , Liao-Yuan Yao , Donghui Xu , Lin Qin . Addressing agricultural (micro)plastics pollution: The promises and perspectives of framework-based photocatalysis. Chinese Journal of Structural Chemistry, 2025, 44(12): 100752-100752. doi: 10.1016/j.cjsc.2025.100752
11. [11]
  Bowen Xu , Hongkun Zhang , Xuantian Feng , Da Zhang , Bin Yang , Feng Liang . Constructing high-performance quasi-solid-state sodium-air batteries with water-soluble discharge products using heterogeneous hydrogel electrolytes. Chinese Chemical Letters, 2026, 37(6): 111880-. doi: 10.1016/j.cclet.2025.111880
12. [12]
  Guangyao Wang , Zhitong Xu , Ye Qi , Yueguang Fang , Guiling Ning , Junwei Ye . Electrospun nanofibrous membranes with antimicrobial activity for air filtration. Chinese Chemical Letters, 2024, 35(10): 109503-. doi: 10.1016/j.cclet.2024.109503
13. [13]
  Ying Wang , Hong Yang , Caixia Zhu , Qing Hong , Xuwen Cao , Kaiyuan Wang , Yuan Xu , Yanfei Shen , Songqin Liu , Yuanjian Zhang . Cascading oxidoreductases-like nanozymes for high selective and sensitive fluorescent detection of ascorbic acid. Chinese Chemical Letters, 2025, 36(4): 110153-. doi: 10.1016/j.cclet.2024.110153
14. [14]
  Ziqiang Wang , Han Lin , Wenxin Wang , Hongjie Yu , You Xu , Kai Deng , Hongjing Wang , Liang Wang . High-entropy PdPtRhFeCuMo metallene nanoribbons for electro-reforming PET plastic into glycolic acid. Chinese Journal of Structural Chemistry, 2025, 44(12): 100745-100745. doi: 10.1016/j.cjsc.2025.100745
15. [15]
  Zicong Yang , Guangshun Ran , Hui Song , Yukun Chang , Jinshu Wang , Hongyi Li . Synergistic Co Pd affection impart high overall water splitting efficiency to Pt/Ir-based electrocatalyst in acid. Chinese Chemical Letters, 2026, 37(3): 111370-. doi: 10.1016/j.cclet.2025.111370
16. [16]
  Yuchen Zhang , Lifeng Ding , Zhenghe Xie , Xin Zhang , Xiaofeng Sui , Jian-Rong Li . Porous sorbents for direct capture of carbon dioxide from ambient air. Chinese Chemical Letters, 2025, 36(3): 109676-. doi: 10.1016/j.cclet.2024.109676
17. [17]
  Xiaoyu Du , Huan Wang . Tailoring mass transfer on electrochemical fixation of air-abundant molecules. Chinese Chemical Letters, 2025, 36(8): 110276-. doi: 10.1016/j.cclet.2024.110276
18. [18]
  Yuxin Wang , Zhengxuan Song , Yutao Liu , Yang Chen , Jinping Li , Libo Li , Jia Yao . Methyl functionalization of trimesic acid in copper-based metal-organic framework for ammonia colorimetric sensing at high relative humidity. Chinese Chemical Letters, 2024, 35(6): 108779-. doi: 10.1016/j.cclet.2023.108779
19. [19]
  Peisi Xie , Jing Chen , Yongjun Xia , Zongwei Cai . MALDI and MALDI-2 mass spectrometry imaging contribute to revealing the alternations in lipid metabolism in germinating soybean seeds. Chinese Chemical Letters, 2025, 36(8): 110595-. doi: 10.1016/j.cclet.2024.110595
20. [20]
  Peng Jia , Yunna Guo , Dongliang Chen , Xuedong Zhang , Jingming Yao , Jianguo Lu , Liqiang Zhang . In-situ imaging electrocatalysis in a solid-state Li-O₂ battery with CuSe nanosheets as air cathode. Chinese Chemical Letters, 2024, 35(5): 108624-. doi: 10.1016/j.cclet.2023.108624

Get Citation

PDF

XML

Metrics

PDF Downloads(1)
Abstract views(2132)
HTML views(67)

通讯作者: 陈斌, bchen63@163.com

1.
沈阳化工大学材料科学与工程学院沈阳 110142

Real-world PM2.5 exposure induces prostaglandin disruption and low-density lipoprotein oxidation, exacerbating atherogenesis in ApoE−/− mice

Metrics

通讯作者: 陈斌, bchen63@163.com

Real-world PM_2.5 exposure induces prostaglandin disruption and low-density lipoprotein oxidation, exacerbating atherogenesis in ApoE^−/− mice