Computational modeling of lung deposition of inhaled particles in chronic obstructive pulmonary disease (COPD) patients: identification of gaps in knowledge and data

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Ganguly, KoustavKarolinska Institutet (author)

Computational modeling of lung deposition of inhaled particles in chronic obstructive pulmonary disease (COPD) patients : identification of gaps in knowledge and data

Article/chapterEnglish2019

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2019-04-23
TAYLOR & FRANCIS LTD,2019
electronicrdacarrier

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LIBRIS-ID:oai:DiVA.org:uu-396188
https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-396188URI
https://doi.org/10.1080/10408444.2019.1584153DOI
http://kipublications.ki.se/Default.aspx?queryparsed=id:141036703URI

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Language:English
Summary in:English

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SwePubSwePub

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Subject category:ref swepub-contenttype
Subject category:for swepub-publicationtype

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Computational modeling together with experimental data are essential to assess the risk for particulate matter mediated lung toxicity and to predict the efficacy, safety and fate of aerosolized drug molecules used in inhalation therapy. In silico models are widely used to understand the deposition, distribution, and clearance of inhaled particles and aerosols in the human lung. Exacerbations of chronic obstructive pulmonary disease (COPD) have been reported due to increased particulate matter related air pollution episodes. Considering the profound functional, anatomical and structural changes occurring in COPD lungs, the relevance of the existing in silico models for mimicking diseased lungs warrants reevaluation. Currently available computational modeling tools were developed for the healthy adult (male) lung. Here, we analyze the major alterations occurring in the airway structure, anatomy and pulmonary function in the COPD lung, as compared to the healthy lung. We also scrutinize the various physiological and particle characteristics that influence particle deposition, distribution and clearance in the lung. The aim of this review is to evaluate the availability of the fundamental knowledge and data required for modeling particle deposition in a COPD lung departing from the existing healthy lung models. The extent to which COPD pathophysiology may affect aerosol deposition depends on the relative contribution of several factors such as altered lung structure and function, bronchoconstriction, emphysema, loss of elastic recoil, altered breathing pattern and altered liquid volumes that warrant consideration while developing physiologically relevant in silico models.

Subject headings and genre

MEDICIN OCH HÄLSOVETENSKAP Klinisk medicin Lungmedicin och allergi hsv//swe
MEDICAL AND HEALTH SCIENCES Clinical Medicine Respiratory Medicine and Allergy hsv//eng
Emphysema
chronic bronchitis
air pollution
inhalation
particle
COPD
in silico

Added entries (persons, corporate bodies, meetings, titles ...)

Carlander, UlrikaKarolinska Institutet (author)
Garessus, Estella D. G.Karolinska Inst, Inst Environm Med, Integrat Toxicol, Stockholm, Sweden (author)
Fridén, MarkusUppsala universitet,Institutionen för farmaceutisk biovetenskap,AstraZeneca, Resp Inflammat & Autoimmun IMED Biotech Unit, Gothenburg, Sweden(Swepub:uu)mafri535 (author)
Eriksson, Ulf G.AstraZeneca, Quantitat Clin Pharmacol, IMED Biotech Unit, Early Clin Dev, Gothenburg, Sweden (author)
Tehler, UlrikaAstraZeneca, IMED Biotech Unit, Early Prod Dev, Pharmaceut Sci, Gothenburg, Sweden (author)
Johanson, GunnarKarolinska Institutet (author)
Karolinska InstitutetKarolinska Inst, Inst Environm Med, Integrat Toxicol, Stockholm, Sweden (creator_code:org_t)

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In:Critical reviews in toxicology: TAYLOR & FRANCIS LTD49:2, s. 160-1731040-84441547-6898

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