Sára Ágnes Nagy

Metagenomic peek into a corn mummy

Norbert Solymosi, Bernadett Pap, Sára Ágnes Nagy, Adrienn Gréta Tóth et autres

Numerous studies have shown that metagenomics has opened a dimension in reading the contents of archaeological remains as time capsules. Corn mummies are ritual objects from ancient Egypt, created by forming human-shaped figures from cereal grains grown in a mixture of water …

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Metagenomic peek into a corn mummy

Norbert Solymosi, Bernadett Pap, Sára Ágnes Nagy, Adrienn Gréta Tóth et autres

Abstract Numerous studies have shown that metagenomics has opened a dimension in reading the contents of archaeological remains as time capsules. Corn mummies are ritual objects from ancient Egypt, created by forming human-shaped figures from cereal grains grown in a mixture of …

Protocol for the assessment of the impact of mycotoxins and glyphosate residues on the gut microbiome and resistome of European fallow deer

Adrienn Gréta Tóth, Melinda Paholcsek, Norbert Solymosi, Anikó Stágel et autres

Here, we present a protocol to describe the bacteriome of the intestinal content of toxin-exposed fallow deer. We describe steps for measuring fecal mycotoxin (deoxynivalenol, zearalenone, fumonisin B1, and aflatoxin B1) levels using liquid chromatography-mass spectrometry, as well as serum glyphosate. We …

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Genome-wide association study identifies novel risk loci for inclusion body myositis

Nathan Routledge, AH Khan, Iwona Skorupinska, Conceição Bettencourt et autres

Impact of mycotoxins and glyphosate residue on the gut microbiome and resistome of European fallow deer

Adrienn Gréta Tóth, Sára Ágnes Nagy, István Lakatos, Norbert Solymosi et autres

Some mycotoxins and herbicide residues pose threats to animal health. These toxins might affect the gut microbiome of fallow deer. The analyzation of the intestinal content samples of this valuable game species exposed to varying levels of zearalenone (ZEA) and other toxic …

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A Microfluidic Approach for Profiling Total Nitrogen Content in Age-Specific Nutritional Formulas Using Microchip Gel Electrophoresis

Fruzsina Balogh-Hartmann, Csilla Páger, Anna Dávidovics, Sára Ágnes Nagy et autres

Accurate assessment of protein content in Foods for Special Medical Purposes (FSMPs) is critical for patients with chronic kidney disease, who require tightly regulated protein intake. This study aimed to develop and apply a rapid, low-volume, and reproducible microchip-based gel electrophoresis method …

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Neural Network-Aided Milk Somatic Cell Count Increase Prediction

Sára Ágnes Nagy, István Csabai, Tamás Róbert Varga, Bettina Póth-Szebenyi et autres

Subclinical mastitis (SM) is the most economically damaging yet often visually undetectable disease of dairy cows. Early detection and treatment can reduce the loss caused by the disease; thus, the continuous improvement of SM diagnostic methods is necessary. Although milk's somatic cell …

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Clinical considerations on antimicrobial resistance potential of complex microbiological samples

Norbert Solymosi, Adrienn Gréta Tóth, Sára Ágnes Nagy, István Csabai et autres

Antimicrobial resistance (AMR) is one of our greatest public health challenges. Targeted use of antibiotics (ABs) can reduce the occurrence and spread of AMR and boost the effectiveness of treatment. This requires knowledge of the AB susceptibility of the pathogens involved in …

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Impact of Mycotoxins and Glyphosate residue on the Gut Microbiome and Resistome of European Fallow Deer

Adrienn Gréta Tóth, Sára Ágnes Nagy, István Lakatos, Norbert Solymosi et autres

ABSTRACT Mycotoxins and herbicides residue significant threats to animal health. This study investigated the impact of these toxins on the gut microbiome of the fallow deer, a valuable game species. We analyzed the intestinal contents of deer exposed to varying levels of …

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Clinical considerations on antimicrobial resistance potential of complex microbiological samples

Norbert Solymosi, Adrienn Gréta Tóth, Sára Ágnes Nagy, István Csabai et autres

ABSTRACT Antimicrobial resistance (AMR) is one of our greatest public health challenges. Targeted use of antibiotics (AB) can reduce the occurrence and spread of AMR and boost the effectiveness of treatment. This requires knowledge of the antibiotic susceptibility (AS) of the pathogens …

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Bacterial colony size growth estimation by deep learning

Sára Ágnes Nagy, László Makrai, István Csabai, Dóra Tőzsér et autres

The bacterial growth rate is important for pathogenicity and food safety. Therefore, the study of bacterial growth rate over time can provide important data from a medical and veterinary point of view. We trained convolutional neural networks (CNNs) on manually annotated solid …

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Annotated dataset for deep-learning-based bacterial colony detection

László Makrai, Bettina Fodróczy, Sára Ágnes Nagy, Péter Czeiszing et autres

Quantifying bacteria per unit mass or volume is a common task in various fields of microbiology (e.g., infectiology and food hygiene). Most bacteria can be grown on culture media. The unicellular bacteria reproduce by dividing into two cells, which increases the number …

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