Risk assessments in nanotoxicology: bioinformatics and computational approaches
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01.02.2020 |
Pikula K.
Zakharenko A.
Chaika V.
Kirichenko K.
Tsatsakis A.
Golokhvast K.
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Current Opinion in Toxicology |
10.1016/j.cotox.2019.08.006 |
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© 2019 Elsevier B.V. A massive-scale production of engineered nanoparticles (ENPs) becomes one of the most important environmental issues. The mechanisms of ENPs' (eco)toxic action are not fully understood, and the estimation of those mechanisms is a complicated task because even slight changes in particle characteristics could dramatically change their toxicity. As a result of continuous manufacturing of ENPs with specific functionality and different physicochemical properties, conventional methods of in vivo and in vitro testing would not be able to fill the existing knowledge gap in nanotoxicology. The objectives of this review are to overlook the current achievements based on the new approaches of ENPs' risk assessment, such as bioinformatics approaches and machine learning tools. These methods confirmed their ability to reliable prediction and evaluation of ENPs' behavior and their toxic endpoints. Databases and projects based on these methods and approaches would be highly useful in addressing the problem of ENPs’ regulation.
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Understanding how consumers with food allergies make decisions based on precautionary labelling
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01.11.2019 |
DunnGalvin A.
Roberts G.
Regent L.
Austin M.
Kenna F.
Schnadt S.
Sanchez-Sanz A.
Hernandez P.
Hjorth B.
Fernandez-Rivas M.
Taylor S.
Baumert J.
Sheikh A.
Astley S.
Crevel R.
Mills C.
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Clinical and Experimental Allergy |
10.1111/cea.13479 |
3 |
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© 2019 John Wiley & Sons Ltd Background: Understanding consumer perceptions is crucial if effective food safety policy and risk communication are to be developed and implemented. We sought to understand how those living with food allergy assess risk with precautionary allergen labelling (PAL) and their preference in how risks are communicated within a quantitative risk assessment (QRA) framework. Methods: The Integrated Approaches to Food Allergen and Allergy Risk Management (iFAAM) labelling online survey was developed for adults and parents of children with food allergy and distributed across Germany, Ireland, Netherlands, Spain and UK via patient support groups. Results: There were 1560 complete responses. ‘This product is not suitable for’ was selected as first choice for PAL by 46% overall and ‘May contain’ was selected as the first choice by 44%. Seventy-three percent reported that it would improve their trust in a product if a QRA process had been used to make a decision about whether to include ‘may contain’. Overall, 66% reported that a ‘statement + symbol’ on the label indicating a QRA, would help them to understand the risk assessment process that had been used by the food manufacturer. Conclusions: Consumers want to know what process has actually taken place for the placing of a PAL and/or risk assessment statement on a particular food product. Our findings provide a basis for the development of more informative communication around food allergen risk and safety and support evidence-based policy-making in the context of the legislative requirements of the European Union's Food Information for Consumers Regulation.
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Exaggeration of health risk of congener alcohols in unrecorded alcohol: does this mislead alcohol policy efforts?
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01.10.2019 |
Lachenmeier D.
Walch S.
Rehm J.
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Regulatory Toxicology and Pharmacology |
10.1016/j.yrtph.2019.104432 |
1 |
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Critical assessment and integration of separate lines of evidence for risk assessment of chemical mixtures
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01.10.2019 |
Hernandez A.
Buha A.
Constantin C.
Wallace D.
Sarigiannis D.
Neagu M.
Antonijevic B.
Hayes A.
Wilks M.
Tsatsakis A.
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Archives of Toxicology |
10.1007/s00204-019-02547-x |
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© 2019, The Author(s). Humans are exposed to multiple chemicals on a daily basis instead of to just a single chemical, yet the majority of existing toxicity data comes from single-chemical exposure. Multiple factors must be considered such as the route, concentration, duration, and the timing of exposure when determining toxicity to the organism. The need for adequate model systems (in vivo, in vitro, in silico and mathematical) is paramount for better understanding of chemical mixture toxicity. Currently, shortcomings plague each model system as investigators struggle to find the appropriate balance of rigor, reproducibility and appropriateness in mixture toxicity studies. Significant questions exist when comparing single-to mixture-chemical toxicity concerning additivity, synergism, potentiation, or antagonism. Dose/concentration relevance is a major consideration and should be subthreshold for better accuracy in toxicity assessment. Previous work was limited by the technology and methodology of the time, but recent advances have resulted in significant progress in the study of mixture toxicology. Novel technologies have added insight to data obtained from in vivo studies for predictive toxicity testing. These include new in vitro models: omics-related tools, organs-on-a-chip and 3D cell culture, and in silico methods. Taken together, all these modern methodologies improve the understanding of the multiple toxicity pathways associated with adverse outcomes (e.g., adverse outcome pathways), thus allowing investigators to better predict risks linked to exposure to chemical mixtures. As technology and knowledge advance, our ability to harness and integrate separate streams of evidence regarding outcomes associated with chemical mixture exposure improves. As many national and international organizations are currently stressing, studies on chemical mixture toxicity are of primary importance.
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Neural Network Self-Learning Model for Complex Assessment of Drinking Water Safety for Consumers
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01.06.2018 |
Tunakova Y.
Novikova S.
Krasnyuk I.
Faizullin R.
Gabdrakhmanova G.
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BioNanoScience |
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© 2017, Springer Science+Business Media, LLC, part of Springer Nature. We need to take into complex assessment a set of influencing factors of drinking water safety. This raises the task of developing an integrated methodology assessing the safety of drinking water that reaches the consumers. For the integrated assessment of the safety of drinking water, the method of clustering was chosen, namely, the neural network method of Kohonen self-organizing maps. Zones were separated by the method of cluster neural network analysis. The zones are characterized by different content of metal cations in drinking water, levels of carcinogenic and non-carcinogenic risk to the health of the child population, and the probability of the receipt of metal cations with potable water to consumers.
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On the history of medical risk
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01.01.2018 |
Kuznetsov N.
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History of Medicine |
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© NA Kuznetsov. This article reviews the main approaches to the interpretation of the term “risk”, which has acquired the status of a general scientific and widely interpreted concept. The unresolved issues of surgical risk terminology make it extremely difficult to solve the problem of perioperative prognosis at the narrow professional (medical) level. The author considers the problem of objec-tifying operational risk at an interdisciplinary level. In his opinion, understanding risk as a specific form of the subject’s active relation to the surrounding reality is the most justified at the present time. The essential particular features of such activities are the lack of confidence and the subject’s uncertainty in achieving the stated goal since a doctor’s professional activity takes place under conditions of risk, uncertainty and in contradictory situations. The author of the article suggests using the definition of “risk” proposed by A.P. Algin, according to which risk should be understood “as an activity connected with overcoming uncertainty and the situation of inevitable choice, in the process of which it is possible to quantitatively and qualitatively assess the probability of achieving the expected result, failure and deviation from the goal.” This definition prevents the use of antiscientific and scholastic views of this phenomenon. With reference to medical science (in particular, to surgery), this approach to risk allowed the author to formulate an individual quantitative prognosis and to distinguish five types of perioperative prognosis.
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Toxicity of yessotoxin in experiment in vivo
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01.01.2018 |
Bagryantseva O.
Gmoshinskii I.
Evstratova A.
Trushina E.
Mustafina O.
Soto K.
Shipelin V.
Shumakova A.
Panova A.
Khotimchenko S.
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Health Risk Analysis |
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© 2013-2018 Federal Scientific Center for Medical and Preventive Health Risk Management Technologies. Yessotoxin (YTX) is a polyether. There are more than 90 known derivatives of yessotoxin. YTX was excluded from diarrhea toxins group as it, unlike okadaic acid, doesn't cause diarrhea. YTX chemical structure is similar to that of brevetoxins and ciguatoxins that influence functioning of calcium-sodium pump and trans-membrane ion channels. So, YTX can exert influence on functioning of all the organs and systems in a body. YTX is known to promote apoptosis in the cerebral tissues. Average lethal dose LD50 for YTX and its analogues varied from 100 μg/kg to 500-750 μg/kg; the figures were obtained in various experiments performed on mice. Safe YTX level for acute impact (acute reference dose) amounts to 25 μM/kg of body weight. Nowadays toxicity parameters for YTX and some of its analogues are determined; its basic action mechanisms and a role it plays in promoting apoptosis are well-known. In spite of more and more data on biological effects produced by YTX on a warm-blooded organism, experts are still unable to describe its action mechanisms precisely. Our research goal was to examine YTX toxicity in experiments in vivo in doses that were lower than the detected acute reference dose. The experiment was performed on 72 male Wistar rats with initial body weight being equal to 100±10 g. Animals were given dry balanced feedstuffproduced by "Laboratortakorm" LLC (Russia) and had free access to it. We used YTX preparation produced by "National Research Council Canada" (Canada) in our experiment; the preparation was a methanol solution (YTX content was equal to 4.3 μmol). We determined mass of internal organs, biochemical and hematological blood parameters, apoptosis of brain cells, malonic dialdehyde level in the brain and reduced glutathione in the liver. We showed that YTX doses (2μM/kg, 8μM/kg and 12μM/kg) lower than ARfD=2μM/kg can exert toxic impacts on a warm-blooded organism. The obtain data prove it is necessary to additionally assess risks of an increase in maximum permissible YTX contents in shellfish from 1 mg/kg to 3.75 mg/kg.
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Yessotoxin: Risk assessment for public health. Justification of regulations of content in seafood
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01.01.2018 |
Bagryantseva O.
Evstratova A.
Khotimchenko S.
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Voprosy Pitaniia |
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© 2018 GEOTAR-Media Publishing Group. Yessotoxin and its derivatives (about 90) are isolated from algae belonging to the species Protoceratium reticulatum, Gonyaulax cf. Spinifera, Lingulodinium polyedrum and from invertebrate organisms that feed on these algae. Previously yessotoxin have been associated with the group of diarrheal toxins. Later studies of the possible impact of yessotoxin on the activity of alkaline phosphatase allowed to exclude them from this group. Yessotoxin causes a violation of calcium entry in the cells, which, in turn, effects the calcium-calmodulin system and thus influences into homeostasis of the organism as a whole. It was shown that yessotoxin induces a biphasic change in the concentration of adenosine monophosphate, an initial increase with a subsequent relative decrease, within some minutes after adding the toxin to the lymphocytes cell culture. Yessotoxin has effects on immune system; which is manifested in an increase of cytokines level, by inducing the expression of the genes encoding them. Yessotoxin have impact into processes of cell adhesion via E-cadherin and, thus, could be an important factor in the development of Alzheimer's disease. It has been established that yessotoxin caused the development of apoptosis. In those cases all three mechanisms of cell death took place - apoptosis, paraptosis and autophagy. Yessotoxin's acute toxicity doses according to different data are from 100 to 500-750 μg per 1kg of body weight. Yessotoxin's acute reference dose (ARfD) - 25 μg/kg of body weight per day. The results of the analysis of yessotoxin level in shellfish meat showed that none of the studied samples contained more than 3.75 mg yessotoxin equivalents/kg shellfish meat. This level has been adopted by the European Union as the maximum acceptable level of yessotoxin in shellfish meat (EU Regulation N 786/2013). Presented data on the mechanism of action, toxicity and prevalence of yessotoxins make it necessary to establish regulations of their content in seafood, placed on the markets of the Eurasian Economic Union.
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Prediction score in surgical complications estimation in the practice of internist
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01.01.2018 |
Kotova D.
Kotov S.
Gilyarov M.
Shemenkova V.
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Cardiovascular Therapy and Prevention (Russian Federation) |
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© 2018 Vserossiiskoe Obshchestvo Kardiologov. All rights reserved. Recently, development of medicine leads to the increase of the number and complexity of surgical interventions, explaining high significance of the risk assessments for post-surgical complications and probability of fatal outcome; this requires participation of internist in patients management with correction of therapy. The article is focused on the main scores and indexes utilized in clinical practice for prediction of possible complications, incl. cardial. A detailed description provided, for every calculator, features and limitations for usage and results interpretation.
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