Literature DB >> 28130037

Assessing interactions of binary mixtures of Penicillium mycotoxins (PMs) by using a bovine macrophage cell line (BoMacs).

Se-Young Oh1, Nina Cedergreen2, Alexandros Yiannikouris3, H V L N Swamy4, Niel A Karrow5.   

Abstract

Penicillium mycotoxins (PMs) are toxic contaminants commonly found as mixtures in animal feed. Therefore, it is important to investigate potential joint toxicity of PM mixtures. In the present study, we assessed the joint effect of binary combinations of the following PMs: citrinin (CIT), ochratoxin A (OTA), patulin (PAT), mycophenolic acid (MPA) and penicillic acid (PA) using independent action (IA) and concentration addition (CA) concepts. Previously published toxicity data (i.e. IC25; PM concentration that inhibited bovine macrophage (BoMacs) proliferation by 25%) were initially analyzed, and both concepts agreed that OTA+PA demonstrated synergism (p<0.05), while PAT+PA showed antagonism (p<0.05). When a follow-up dilution study was carried out using binary combinations of PMs at three different dilution levels (i.e. IC25, 0.5∗IC25, 0.25∗IC25), only the mixture of CIT+OTA at 0.5∗IC25 was determined to have synergism by both IA and CA concepts with Model Deviation Ratios (MDRs; the ratio of predicted versus observed effect concentrations) of 1.4 and 1.7, respectively. The joint effect of OTA+MPA, OTA+PA and CIT+PAT complied with the IA concept, while CIT+PA, PAT+MPA and PAT+PA were better predicted with the CA over the IA concept. The present study suggests to test both IA and CA concepts using multiple doses when assessing risk of mycotoxin mixtures if the mode of action is unknown. In addition, the study showed that the tested PMs could be predicted by IA or CA within an approximate two-fold certainty, raising the possibility for a joint risk assessment of mycotoxins in food and feed.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Concentration addition (CA); Independent action (IA); Interaction; Mixture toxicity; Penicillium mycotoxins

Mesh:

Substances:

Year:  2017        PMID: 28130037     DOI: 10.1016/j.taap.2017.01.015

Source DB:  PubMed          Journal:  Toxicol Appl Pharmacol        ISSN: 0041-008X            Impact factor:   4.219


  6 in total

1.  Chemical diversity from the Tibetan Plateau fungi Penicillium kongii and P. brasilianum.

Authors:  Zhi-Guo Liu; Li Bao; Hong-Wei Liu; Jin-Wei Ren; Wen-Zhao Wang; Long Wang; Wei Li; Wen-Bing Yin
Journal:  Mycology       Date:  2017-06-12

2.  Modulation of Mucin (MUC2, MUC5AC and MUC5B) mRNA Expression and Protein Production and Secretion in Caco-2/HT29-MTX Co-Cultures Following Exposure to Individual and Combined Aflatoxin M1 and Ochratoxin A.

Authors:  Xin Huang; Yanan Gao; Songli Li; Chenqing Wu; Jiaqi Wang; Nan Zheng
Journal:  Toxins (Basel)       Date:  2019-02-23       Impact factor: 4.546

Review 3.  Assessing the Effect of Mycotoxin Combinations: Which Mathematical Model Is (the Most) Appropriate?

Authors:  Domagoj Kifer; Daniela Jakšić; Maja Šegvić Klarić
Journal:  Toxins (Basel)       Date:  2020-02-29       Impact factor: 4.546

4.  Comprehensive Evaluation of the Efficiency of Yeast Cell Wall Extract to Adsorb Ochratoxin A and Mitigate Accumulation of the Toxin in Broiler Chickens.

Authors:  Suvi Vartiainen; Alexandros Yiannikouris; Juha Apajalahti; And Colm A Moran
Journal:  Toxins (Basel)       Date:  2020-01-07       Impact factor: 4.546

5.  Ochratoxin A and Citrinin Differentially Modulate Bovine Mammary Epithelial Cell Permeability and Innate Immune Function.

Authors:  Ran Xu; Umesh K Shandilya; Alexandros Yiannikouris; Niel A Karrow
Journal:  Toxins (Basel)       Date:  2022-09-16       Impact factor: 5.075

6.  Co-Occurrence and Levels of Mycotoxins in Fish Feeds in Kenya.

Authors:  Evalyn Wanjiru Mwihia; Jan Ludvig Lyche; Paul Gichohi Mbuthia; Lada Ivanova; Silvio Uhlig; James K Gathumbi; Joyce G Maina; Eric Emali Eshitera; Gunnar Sundstøl Eriksen
Journal:  Toxins (Basel)       Date:  2020-09-30       Impact factor: 4.546

  6 in total

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