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The use of veterinary drugs in animal production is a common practice to secure animal and human health. However, residues of administrated drugs could be present in animal food products. Levels of drugs in food of animal origin are regulated within the European Union. In recent years, residues have been detected not only in food, but also in the environmental elements such as water or soil, meaning that humans are involuntarily exposed to these substances. This article presents a multiclass method for the analysis of various therapeutic groups of pharmaceuticals in human feces. Pharmaceuticals are extracted from feces with an acid extraction solvent, and after filtration the extract was analyzed by HPLC-MS/MS. A limit of detection of 10 ng/g was achieved for 9 pharmaceuticals, with linearity over 0.99 and repeatability and reproducibility lower than 20%. The method was satisfactorily applied in 25 feces samples of individuals that had declared not to be under medical treatment for the last two months. Results indicate the presence of six different compounds at concentration between 10 and 456 ng/g. This preliminary study showed the involuntary exposure of human gut microbiota to active substances such as pharmaceuticals.
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http://dx.doi.org/10.3390/molecules27051474 | DOI Listing |
Probiotics Antimicrob Proteins
September 2025
Key Laboratory of the Ministry of Education for Wildlife and Plant Resources Conservation in Southwest China, College of Life Sciences, China West Normal University, Nanchong, Sichuan, China.
Enterotoxigenic Escherichia coli (ETEC) is a prevalent intestinal pathogen that significantly impacts both human and animal health. G83, isolated from giant panda feces, has demonstrated notable probiotic properties. In this study, C57BL/6 J mice were randomly divided into Control, ETEC, and G83 groups.
View Article and Find Full Text PDFParasitol Res
September 2025
Laboratório de Parasitologia, Instituto Biomédico, Universidade Federal Fluminense (UFF), Bloco E, 5º Andar, 510-525,Outeiro São João Batista S/N, Niterói, Rio de Janeiro, 24020-141, Brazil.
Brazil is a major pig-producing country with production systems that include both industrial and family farms. In these facilities, parasitic diseases present an obstacle to production. This study aimed to estimate the prevalence and risk factors of the gastrointestinal parasites that infect pigs as well as to provide information for producers through extension activities.
View Article and Find Full Text PDFGut Microbes
December 2025
Clinical Microbiome Unit, Laboratory of Host Immunity and Microbiome, Division of Intramural Research, National Institute of Allergy and Infectious Disease, National Institute of Health, Bethesda, MD, USA.
Parity, the number of pregnancies carried beyond 20 weeks, influences the maternal gut microbiome. However, whether parity modulates the infant microbiome longitudinally remains underexplored. To address this, 746 infants in a longitudinal cohort study were assessed.
View Article and Find Full Text PDFTurkiye Parazitol Derg
September 2025
Van Yüzüncü Yıl University Faculty of Medicine, Department of Parasitology, Van, Türkiye.
Objective: The aim of this study is to determine the frequency of intestinal protozoa in disabled patients attending a rehabilitation center, thereby highlighting the significance of intestinal protozoa in individuals with disabilities.
Methods: The study included a total of 300 individuals, comprising 200 disabled patients and 100 non-disabled individuals. Stool samples were collected from all participants and examined using the native-Lugol and modified acid-fast methods.
Brain Behav
September 2025
Department of Neurosurgery, First Medical Center of the Chinese PLA General Hospital, Beijing, People's Republic of China.
Background: The gut microbiota plays a crucial role in the development of glioma. With the evolution of artificial intelligence technology, applying AI to analyze the vast amount of data from the gut microbiome indicates the potential that artificial intelligence and computational biology hold in transforming medical diagnostics and personalized medicine.
Methods: We conducted metagenomic sequencing on stool samples from 42 patients diagnosed with glioma after operation and 30 non-intracranial tumor patients and developed a Gradient Boosting Machine (GBM) machine learning model to predict the glioma patients based on the gut microbiome data.