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Pregled bibliografske jedinice broj: 1052439

Assessing the effect of mycotoxin combinations: which mathematical model is (the most) appropriate?


Kifer, Domagoj; Jakšić, Daniela; Šegvić Klarić, Maja
Assessing the effect of mycotoxin combinations: which mathematical model is (the most) appropriate? // Toxins, 12 (2020), 3; 153, 21 doi:10.3390/toxins12030153 (međunarodna recenzija, pregledni rad, znanstveni)


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Naslov
Assessing the effect of mycotoxin combinations: which mathematical model is (the most) appropriate?

Autori
Kifer, Domagoj ; Jakšić, Daniela ; Šegvić Klarić, Maja

Izvornik
Toxins (2072-6651) 12 (2020), 3; 153, 21

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, pregledni rad, znanstveni

Ključne riječi
mycotoxin interaction ; Loewe additivity ; combination index ; isobologram ; Chou-Talalay method ; MixLow

Sažetak
In the past decades, many studies have examined the nature of the interaction between mycotoxins in biological models classifying interaction effects as antagonisms, additive effects, or synergisms based on a comparison of the observed effect with the expected effect of combination. Among several described mathematical models, the arithmetic definition of additivity and factorial analysis of variance were the most commonly used in mycotoxicology. These models are incorrectly based on the assumption that mycotoxin dose-effect curves are linear. More appropriate mathematical models for assessing mycotoxin interactions include Bliss independence, Loewe’s additivity law, combination index, and isobologram analysis, Chou-Talalays median- effect approach, response surface, code for the identification of synergism numerically efficient (CISNE) and MixLow method. However, it seems that neither model is ideal. This review discusses the advantages and disadvantages of these mathematical models.

Izvorni jezik
Engleski

Znanstvena područja
Temeljne medicinske znanosti, Javno zdravstvo i zdravstvena zaštita, Farmacija



POVEZANOST RADA


Projekti:
HRZZ-IP-2014-09-5982 - Štetni učinci pojedinačnih i kombiniranih mikotoksina Aspergillus vrsta (MycotoxA) (Šegvić Klarić, Maja, HRZZ - 2014-09) ( CroRIS)

Ustanove:
Farmaceutsko-biokemijski fakultet, Zagreb

Poveznice na cjeloviti tekst rada:

Pristup cjelovitom tekstu rada doi www.mdpi.com

Citiraj ovu publikaciju:

Kifer, Domagoj; Jakšić, Daniela; Šegvić Klarić, Maja
Assessing the effect of mycotoxin combinations: which mathematical model is (the most) appropriate? // Toxins, 12 (2020), 3; 153, 21 doi:10.3390/toxins12030153 (međunarodna recenzija, pregledni rad, znanstveni)
Kifer, D., Jakšić, D. & Šegvić Klarić, M. (2020) Assessing the effect of mycotoxin combinations: which mathematical model is (the most) appropriate?. Toxins, 12 (3), 153, 21 doi:10.3390/toxins12030153.
@article{article, author = {Kifer, Domagoj and Jak\v{s}i\'{c}, Daniela and \v{S}egvi\'{c} Klari\'{c}, Maja}, year = {2020}, pages = {21}, DOI = {10.3390/toxins12030153}, chapter = {153}, keywords = {mycotoxin interaction, Loewe additivity, combination index, isobologram, Chou-Talalay method, MixLow}, journal = {Toxins}, doi = {10.3390/toxins12030153}, volume = {12}, number = {3}, issn = {2072-6651}, title = {Assessing the effect of mycotoxin combinations: which mathematical model is (the most) appropriate?}, keyword = {mycotoxin interaction, Loewe additivity, combination index, isobologram, Chou-Talalay method, MixLow}, chapternumber = {153} }
@article{article, author = {Kifer, Domagoj and Jak\v{s}i\'{c}, Daniela and \v{S}egvi\'{c} Klari\'{c}, Maja}, year = {2020}, pages = {21}, DOI = {10.3390/toxins12030153}, chapter = {153}, keywords = {mycotoxin interaction, Loewe additivity, combination index, isobologram, Chou-Talalay method, MixLow}, journal = {Toxins}, doi = {10.3390/toxins12030153}, volume = {12}, number = {3}, issn = {2072-6651}, title = {Assessing the effect of mycotoxin combinations: which mathematical model is (the most) appropriate?}, keyword = {mycotoxin interaction, Loewe additivity, combination index, isobologram, Chou-Talalay method, MixLow}, chapternumber = {153} }

Časopis indeksira:


  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus
  • MEDLINE


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