PMID- 29775648
OWN - NLM
STAT- MEDLINE
DCOM- 20190510
LR  - 20190510
IS  - 1096-0333 (Electronic)
IS  - 0041-008X (Linking)
VI  - 361
DP  - 2018 Dec 15
TI  - Towards a quantitative model to predict the toxicity/pathogenicity potential of 
      mineral fibers.
PG  - 89-98
LID - S0041-008X(18)30211-4 [pii]
LID - 10.1016/j.taap.2018.05.012 [doi]
AB  - Some mineral fibers represent a health hazard because they are classified as 
      cancer-causing chemical/physical toxicants upon (chronic) dust inhalation. 
      Although in the last decades they have been the subject of intensive 
      multidisciplinary investigations, the mechanisms by which mineral fibers induce 
      toxic and pathogenic adverse effects on human health and environment are not yet 
      fully understood. The major intricacy of the biological approach that prevents 
      the design of a conclusive shared model of behavior of mineral fibers in a 
      biological system stems from their very nature with intrinsic variability in 
      chemical, molecular, structural and morphometric parameters, biodurability and 
      surface reactivity. This paper presents the first attempt to devise a 
      quantitative predictive model of toxicity/pathogenicity of minerals fibers based 
      on their physical/chemical and morphological parameters. Although the author is 
      aware that all parameters should be measured in comparable in vivo systems that 
      accurately simulate the lung and or pleural environment, this preliminary model 
      was conceived to deliver a fiber potential toxicity/pathogenicity index (FPTI) to 
      be integrated with the biological approach so to create a quantitative predictive 
      model of behavior of mineral fibers in a biological system. The FPTI model is 
      thought to be a predictive tool aimed at ranking the toxicity and pathogenicity 
      potential of fibers like asbestos or unregulated/unclassified mineral fibers. It 
      may eventually be applied to other materials like man-made synthetic fibers and 
      elongated mineral particles (EMP). Work is in progress to revise and validate the 
      model in joint collaboration with international competent organizations, and to 
      deliver a FPTI model-based user-friendly code.
CI  - Copyright (c) 2018 Elsevier Inc. All rights reserved.
FAU - Gualtieri, Alessandro F
AU  - Gualtieri AF
AD  - Chemical and Earth Sciences Department, The University of Modena and Reggio 
      Emilia, Modena, Italy. Electronic address: alessandro.gualtieri@unimore.it.
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
DEP - 20180522
PL  - United States
TA  - Toxicol Appl Pharmacol
JT  - Toxicology and applied pharmacology
JID - 0416575
RN  - 0 (Carcinogens)
RN  - 0 (Dust)
RN  - 0 (Mineral Fibers)
RN  - 1332-21-4 (Asbestos)
SB  - IM
MH  - Administration, Inhalation
MH  - Algorithms
MH  - Animals
MH  - Asbestos/toxicity
MH  - Carcinogens/toxicity
MH  - *Dust
MH  - Humans
MH  - Lung Diseases/chemically induced/epidemiology/pathology
MH  - Lung Neoplasms/chemically induced/epidemiology
MH  - Mineral Fibers/*toxicity
MH  - *Models, Biological
MH  - Pleura/pathology
MH  - Predictive Value of Tests
MH  - Risk Assessment
MH  - Surface Properties
OTO - NOTNLM
OT  - Crystal structure
OT  - Lung cancer
OT  - Mineral fibers
OT  - Pathogenicity
OT  - Risk assessment
OT  - Toxicity
EDAT- 2018/05/19 06:00
MHDA- 2019/05/11 06:00
CRDT- 2018/05/19 06:00
PHST- 2017/12/18 00:00 [received]
PHST- 2018/05/07 00:00 [revised]
PHST- 2018/05/11 00:00 [accepted]
PHST- 2018/05/19 06:00 [pubmed]
PHST- 2019/05/11 06:00 [medline]
PHST- 2018/05/19 06:00 [entrez]
AID - S0041-008X(18)30211-4 [pii]
AID - 10.1016/j.taap.2018.05.012 [doi]
PST - ppublish
SO  - Toxicol Appl Pharmacol. 2018 Dec 15;361:89-98. doi: 10.1016/j.taap.2018.05.012. 
      Epub 2018 May 22.