Aspergillus fumigatus branching complexity in vitro: 2D images and dynamic modeling
Нема приказа
Аутори
Rajković, Katarina M.Milosević, Nebojša T.
Otasević, Suzana
Jeremić, Sanja
Arsić-Arsenijević, Valentina
Чланак у часопису (Објављена верзија)
Метаподаци
Приказ свих података о документуАпстракт
Background Aspergillus fumigatus causes serious infections in humans, and its virulence correlates with hyphal growth, branching and formation of the filamentous mycelium. The filamentous mycelium is a complex structure inconvenient for quantity analysis. In this study, we monitored the branching of A. fumigatus filamentous mycelium in vitro at different points in time in order to assess the complexity degree and develop a dynamic model for the branching complexity. Method: We used fractal analysis of microscopic images (FAMI) to measure the fractal dimensions (D) of the branching complexity within 24 h of incubation. Results: By photographing the filamentous mycelium dynamically and processing the images, the D variation curve of A. fumigatus complexity degree was obtained. We acquired the D variation curve which contained initial exponential period and stationary period of A. fumigants branching. Further, the obtained data of D was modeled via the logistic model (LM) to develop a dyn...amic model of A. fumigatus branching for the prediction of the specific growth rate of branching value (0.23 h(-1)). Conclusions: Developed FAMI and LM models present a simple and non-destructive method of predicting the evolution of branching complexity of A. fumigatus. These models are useful as laboratory measurements for the prediction of hyphal and mycelium development, especially relevant to the pathogenesis study of aspergillosis, as well as pathogenesis of other diseases caused by moulds.
Кључне речи:
Specific growth rate / Logistic model / Fractal dimensions / Branching complexity / Aspergilus fumigatusИзвор:
Computers in Biology and Medicine, 2019, 104, 215-219Издавач:
- Pergamon-Elsevier Science Ltd, Oxford
Финансирање / пројекти:
- Значај доказивања раних лабораторијских биомаркера за исход инвазивних гљивичних инфекција код нас (RS-MESTD-Basic Research (BR or ON)-175034)
- Идентификација молекуларних маркера за предикцију прогресије тумора, одговора на терапију и исхода болести (RS-MESTD-Integrated and Interdisciplinary Research (IIR or III)-41031)
DOI: 10.1016/j.compbiomed.2018.11.022
ISSN: 0010-4825
PubMed: 30529573
WoS: 000456751100022
Scopus: 2-s2.0-85057781959
Институција/група
Institut za molekularnu genetiku i genetičko inženjerstvoTY - JOUR AU - Rajković, Katarina M. AU - Milosević, Nebojša T. AU - Otasević, Suzana AU - Jeremić, Sanja AU - Arsić-Arsenijević, Valentina PY - 2019 UR - https://imagine.imgge.bg.ac.rs/handle/123456789/1286 AB - Background Aspergillus fumigatus causes serious infections in humans, and its virulence correlates with hyphal growth, branching and formation of the filamentous mycelium. The filamentous mycelium is a complex structure inconvenient for quantity analysis. In this study, we monitored the branching of A. fumigatus filamentous mycelium in vitro at different points in time in order to assess the complexity degree and develop a dynamic model for the branching complexity. Method: We used fractal analysis of microscopic images (FAMI) to measure the fractal dimensions (D) of the branching complexity within 24 h of incubation. Results: By photographing the filamentous mycelium dynamically and processing the images, the D variation curve of A. fumigatus complexity degree was obtained. We acquired the D variation curve which contained initial exponential period and stationary period of A. fumigants branching. Further, the obtained data of D was modeled via the logistic model (LM) to develop a dynamic model of A. fumigatus branching for the prediction of the specific growth rate of branching value (0.23 h(-1)). Conclusions: Developed FAMI and LM models present a simple and non-destructive method of predicting the evolution of branching complexity of A. fumigatus. These models are useful as laboratory measurements for the prediction of hyphal and mycelium development, especially relevant to the pathogenesis study of aspergillosis, as well as pathogenesis of other diseases caused by moulds. PB - Pergamon-Elsevier Science Ltd, Oxford T2 - Computers in Biology and Medicine T1 - Aspergillus fumigatus branching complexity in vitro: 2D images and dynamic modeling EP - 219 SP - 215 VL - 104 DO - 10.1016/j.compbiomed.2018.11.022 ER -
@article{ author = "Rajković, Katarina M. and Milosević, Nebojša T. and Otasević, Suzana and Jeremić, Sanja and Arsić-Arsenijević, Valentina", year = "2019", abstract = "Background Aspergillus fumigatus causes serious infections in humans, and its virulence correlates with hyphal growth, branching and formation of the filamentous mycelium. The filamentous mycelium is a complex structure inconvenient for quantity analysis. In this study, we monitored the branching of A. fumigatus filamentous mycelium in vitro at different points in time in order to assess the complexity degree and develop a dynamic model for the branching complexity. Method: We used fractal analysis of microscopic images (FAMI) to measure the fractal dimensions (D) of the branching complexity within 24 h of incubation. Results: By photographing the filamentous mycelium dynamically and processing the images, the D variation curve of A. fumigatus complexity degree was obtained. We acquired the D variation curve which contained initial exponential period and stationary period of A. fumigants branching. Further, the obtained data of D was modeled via the logistic model (LM) to develop a dynamic model of A. fumigatus branching for the prediction of the specific growth rate of branching value (0.23 h(-1)). Conclusions: Developed FAMI and LM models present a simple and non-destructive method of predicting the evolution of branching complexity of A. fumigatus. These models are useful as laboratory measurements for the prediction of hyphal and mycelium development, especially relevant to the pathogenesis study of aspergillosis, as well as pathogenesis of other diseases caused by moulds.", publisher = "Pergamon-Elsevier Science Ltd, Oxford", journal = "Computers in Biology and Medicine", title = "Aspergillus fumigatus branching complexity in vitro: 2D images and dynamic modeling", pages = "219-215", volume = "104", doi = "10.1016/j.compbiomed.2018.11.022" }
Rajković, K. M., Milosević, N. T., Otasević, S., Jeremić, S.,& Arsić-Arsenijević, V.. (2019). Aspergillus fumigatus branching complexity in vitro: 2D images and dynamic modeling. in Computers in Biology and Medicine Pergamon-Elsevier Science Ltd, Oxford., 104, 215-219. https://doi.org/10.1016/j.compbiomed.2018.11.022
Rajković KM, Milosević NT, Otasević S, Jeremić S, Arsić-Arsenijević V. Aspergillus fumigatus branching complexity in vitro: 2D images and dynamic modeling. in Computers in Biology and Medicine. 2019;104:215-219. doi:10.1016/j.compbiomed.2018.11.022 .
Rajković, Katarina M., Milosević, Nebojša T., Otasević, Suzana, Jeremić, Sanja, Arsić-Arsenijević, Valentina, "Aspergillus fumigatus branching complexity in vitro: 2D images and dynamic modeling" in Computers in Biology and Medicine, 104 (2019):215-219, https://doi.org/10.1016/j.compbiomed.2018.11.022 . .