PMID- 35988636
OWN - NLM
STAT- MEDLINE
DCOM- 20221019
LR  - 20221019
IS  - 1879-1026 (Electronic)
IS  - 0048-9697 (Linking)
VI  - 851
IP  - Pt 1
DP  - 2022 Dec 10
TI  - PyCoCa:A quantifying tool of carbon content in airway macrophage for assessment 
      the internal dose of particles.
PG  - 158103
LID - S0048-9697(22)05202-0 [pii]
LID - 10.1016/j.scitotenv.2022.158103 [doi]
AB  - Given the lack of a comprehensive understanding of the complex metabolism and 
      variable exposure environment, carbon particles in macrophages have become a 
      potentially valuable biomarker to assess the exposure level of atmospheric 
      particles, such as black carbon. However, the tedious and subjective 
      quantification method limits the application of carbon particles as a valid 
      biomarker. Aiming to obtain an accurate carbon particles quantification method, 
      the deep learning and binarization algorithm were implemented to develop a 
      quantitative tool for carbon content in airway macrophage (CCAM), named PyCoCa. 
      Two types of macrophages, normal and foamy appearance, were applied for the 
      development of PyCoCa. In comparison with the traditional methods, PyCoCa 
      significantly improves the identification efficiency for over 100 times. 
      Consistency assessment with the gold standard revealed that PyCoCa exhibits 
      outstanding prediction ability with the Interclass Correlation Coefficient (ICC) 
      values of over 0.80. And a proper fresh dye will enhance the performance of 
      PyCoCa (ICC = 0.89). Subsequent sensitivity analysis confirmed an excellent 
      performance regarding accuracy and robustness of PyCoCa under high/low exposure 
      environments (sensitivity > 0.80). Furthermore, a successful application of our 
      quantitative tool in cohort studies indicates that carbon particles induce 
      macrophage foaming and the foaming decrease the carbon particles internalization 
      in reverse. Our present study provides a robust and efficient tool to accurately 
      quantify the carbon particles loading in macrophage for exposure assessment.
CI  - Copyright (c) 2022. Published by Elsevier B.V.
FAU - Wei, Xiaoran
AU  - Wei X
AD  - Department of Occupational and Environmental Health, School of Public Health, 
      Qingdao University, Qingdao 266071, China.
FAU - Tang, Xiaowen
AU  - Tang X
AD  - Department of Medicinal Chemistry, School of Pharmacy, Qingdao University, 
      Qingdao 266071, China.
FAU - Liu, Nan
AU  - Liu N
AD  - Department of Occupational and Environmental Health, School of Public Health, 
      Qingdao University, Qingdao 266071, China.
FAU - Liu, Yuansheng
AU  - Liu Y
AD  - Department of Occupational and Environmental Health, School of Public Health, 
      Qingdao University, Qingdao 266071, China.
FAU - Guan, Ge
AU  - Guan G
AD  - Department of Occupational and Environmental Health, School of Public Health, 
      Qingdao University, Qingdao 266071, China.
FAU - Liu, Yi
AU  - Liu Y
AD  - College of Computer Science and Technology, Ocean University of China, Qingdao, 
      China.
FAU - Wu, Xiaohan
AU  - Wu X
AD  - College of Computer Science and Technology, Ocean University of China, Qingdao, 
      China.
FAU - Liu, Yingjie
AU  - Liu Y
AD  - Department of Occupational and Environmental Health, School of Public Health, 
      Qingdao University, Qingdao 266071, China.
FAU - Wang, Jingwen
AU  - Wang J
AD  - Department of Occupational and Environmental Health, School of Public Health, 
      Qingdao University, Qingdao 266071, China.
FAU - Dong, Hanqi
AU  - Dong H
AD  - Department of Occupational and Environmental Health, School of Public Health, 
      Qingdao University, Qingdao 266071, China.
FAU - Wang, Shengke
AU  - Wang S
AD  - College of Computer Science and Technology, Ocean University of China, Qingdao, 
      China. Electronic address: neverme@ouc.edu.cn.
FAU - Zheng, Yuxin
AU  - Zheng Y
AD  - Department of Occupational and Environmental Health, School of Public Health, 
      Qingdao University, Qingdao 266071, China. Electronic address: 
      yxzheng@qdu.edu.cn.
LA  - eng
PT  - Journal Article
DEP - 20220819
PL  - Netherlands
TA  - Sci Total Environ
JT  - The Science of the total environment
JID - 0330500
RN  - 0 (Aerosols)
RN  - 0 (Biomarkers)
RN  - 0 (Soot)
RN  - 7440-44-0 (Carbon)
SB  - IM
MH  - Aerosols/analysis
MH  - Biomarkers/metabolism
MH  - *Carbon/analysis
MH  - Humans
MH  - Macrophages/chemistry
MH  - *Macrophages, Alveolar/chemistry/metabolism
MH  - Soot/analysis/toxicity
OTO - NOTNLM
OT  - Carbon particles quantification
OT  - Exposure assessment
OT  - Macrophage
OT  - Mask R-CNN
COIS- Declaration of competing interest The authors declare that they have no known 
      competing financial interests or personal relationships that could have appeared 
      to influence the work reported in this paper.
EDAT- 2022/08/22 06:00
MHDA- 2022/10/20 06:00
CRDT- 2022/08/21 19:23
PHST- 2022/06/20 00:00 [received]
PHST- 2022/08/09 00:00 [revised]
PHST- 2022/08/13 00:00 [accepted]
PHST- 2022/08/22 06:00 [pubmed]
PHST- 2022/10/20 06:00 [medline]
PHST- 2022/08/21 19:23 [entrez]
AID - S0048-9697(22)05202-0 [pii]
AID - 10.1016/j.scitotenv.2022.158103 [doi]
PST - ppublish
SO  - Sci Total Environ. 2022 Dec 10;851(Pt 1):158103. doi: 
      10.1016/j.scitotenv.2022.158103. Epub 2022 Aug 19.