Evidence map›Paper›PMID 36118212›Full record

ArticleFrontiers in microbiology2022

Probabilistic modeling and risk characterization of the chronic aflatoxin M1 exposure of Hungarian consumers.

Zsuzsa Farkas, Kata Kerekes, Árpád Ambrus, Miklós Süth, Ferenc Peles, Tünde Pusztahelyi, István Pócsi, Attila Nagy, Péter Sipos, Gabriella Miklós and 3 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.1field-weighted citation impact, top 13% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 10 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors at 3 institutions in 1 country.

Zsuzsa FarkasDigital Food Institute, University of Veterinary Medicine Budapest, Budapest, Hungary.
Kata KerekesSystem Management and Supervision Directorate, National Food Chain Safety Office, Budapest, Hungary.
Árpád AmbrusDoctoral School of Nutrition and Food Sciences, University of Debrecen, Debrecen, Hungary.
Miklós SüthDigital Food Institute, University of Veterinary Medicine Budapest, Budapest, Hungary.
Ferenc PelesInstitute of Food Science, Faculty of Agricultural and Food Sciences and Environmental Management, University of Debrecen, Debrecen, Hungary.
Tünde PusztahelyiCentral Laboratory of Agricultural and Food Products, Faculty of Agricultural and Food Sciences and Environmental Management, University of Debrecen . Debrecen, Hungary.
István PócsiDepartment of Molecular Biotechnology and Microbiology, Institute of Biotechnology, Faculty of Science and Technology, University of Debrecen, Debrecen, Hungary.
Attila NagyFood Chain Safety Laboratory Directorate, National Food Chain Safety Office, Budapest, Hungary.
Péter SiposInstitute of Nutrition, Faculty of Agricultural and Food Sciences and Environmental Management, University of Debrecen, Debrecen, Hungary.
Gabriella MiklósAnalytical National Reference Laboratory, Food Chain Safety Laboratory Directorate, National Food Chain Safety Office, Székesfehérvár, Hungary.
Anna LőrinczAnalytical National Reference Laboratory, Food Chain Safety Laboratory Directorate, National Food Chain Safety Office, Budapest, Hungary.
Szilveszter CsorbaDigital Food Institute, University of Veterinary Medicine Budapest, Budapest, Hungary.
Ákos Bernard JóźwiakDigital Food Institute, University of Veterinary Medicine Budapest, Budapest, Hungary.
University of Debrecen · HUNational Food Chain Safety Office · HUUniversity of Veterinary Medicine · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aflatoxin contamination can appear in various points of the food chain. If animals are fed with contaminated feed, AFB1 is transformed-among others-to aflatoxin M1 (AFM1) metabolite. AFM1 is less toxic than AFB1, but it is still genotoxic and carcinogenic and it is present in raw and processed milk and all kinds of milk products. In this article, the chronic exposure estimation and risk characterization of Hungarian consumers are presented, based on the AFM1 contamination of milk and dairy products, and calculated with a probabilistic method, the two-dimensional Monte-Carlo model. The calculations were performed using the R plugin (mc2d package) integrated into the KNIME (Konstanz Information Miner) software. The simulations were performed using data from the 2018-2020 food consumption survey. The AFM1 analytical data were derived from the Hungarian monitoring survey and 1,985 milk samples were analyzed within the framework of the joint project of the University of Debrecen and the National Food Chain Safety Office of Hungary (NÉBIH). Limited AFM1 concentrations were available for processed dairy products; therefore, a database of AFM1 processing factors for sour milk products and various cheeses was produced based on the latest literature data, and consumer exposure was calculated with the milk equivalent of the consumed quantities of these products. For risk characterization, the calculation of hazard index (HI), Margin of Exposure, and the hepatocellular carcinoma incidence were used. The results indicate that the group of toddlers that consume a large amount of milk and milk products are exposed to a certain level of health risk. The mean estimated daily intake of toddlers is in the range of 0.008-0.221 ng kg

Indexed as

AFM1consumer groups at risklong-term exposuremycotoxin exposure assessmentprobabilistic method

Identifiers

PMID36118212
PMCPMC9478333
OpenAlexW4294169839

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.