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Within- and cross-tissue gene regulations were disrupted by PM2.5 nitrate exposure and associated with respiratory functions

  • Jushan Zhang
  • , Haoxiang Cheng
  • , Antonio Di Narzo
  • , Yujie Zhu
  • , Mingxu Shan
  • , Zhongyang Zhang
  • , Xiaowen Shao
  • , Jia Chen
  • , Changhui Wang
  • , Ke Hao

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

Background: Pathogenesis of complex diseases often involves multiple organs/tissue-types. To date, the PM2.5 exposure's toxic effects and induced disease risks were not studied at multi-tissue level. Methods: C57BL/6 mice (n = 40) were exposed to PM2.5 NO3 and clean air, respectively, and afterwards assessed respiratory functions and transcriptome in relevant tissues: blood and lung. We constructed within- and cross-tissue gene regulation networks and identified network modules associated with exposure and respiratory functions. Results: PM2.5 NO3 exposure elevated naïve B cells proportion in blood (p = 0.0028). Among the 6000 highest expressed genes in blood, 18.8 % (1133 genes) were altered by exposure at p ≤ 0.05 level, among which 763 genes were also associated with respiratory function (enrichment folds = 7.63, p = 2.7E-189). The exposure disrupted blood genes were primarily in the immunoregulation pathways. Both within- and cross-tissue gene network modules were perturbed by exposure and associated with respiratory function. An immunodeficiency related cross-tissue module of 555 genes was affected by exposure (p = 0.0023) and strongly correlated with FEV0.05/FVC (r = 0.61 and p = 3E-5). Conclusions: This study aims to fill in a major knowledge gap and investigated the effect of PM2.5 exposure simultaneously in multiple tissues. We provided novel evidence that PM2.5 NO3 exposure profoundly perturbed within- and cross-tissue gene regulations, and highlighted their roles in the etiology of respiratory decline.

Original languageEnglish
Article number157977
JournalScience of the Total Environment
Volume850
DOIs
StatePublished - 1 Dec 2022

Keywords

  • Air pollution exposure
  • Blood and lung gene expression
  • Blood cell composition
  • Multi-tissue gene networks
  • Respiratory functions

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