Examining the relationship between persistent organic pollutants and metabolic-associated fatty liver disease: a cross-sectional analysis using NHANES data

Environmental Science and Pollution Research, Journal Year: 2025, Volume and Issue: unknown

Published: May 9, 2025

Language: Английский

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Pesticide pollution in argentine drinking water: A call to ensure safe access

Environmental Challenges, Journal Year: 2023, Volume and Issue: 14, P. 100808 - 100808

Published: Dec. 5, 2023

The application of pesticides in Argentina has been on the rise since 2000. However, monitoring drinking water lacks regular updates. This research study analysed 53 and degradation products to evaluate their presence water. most frequently detected were atrazine, metolachlor, imidacloprid, hydroxyatrazine, imazethapyr 2.4D. During sample collection period, 25% soil was planted with winter crops, while just under 50% allocated summer especially corn soybeans. correlation between used these crops those found significant/notable. As a matter fact, individual concentration [25] exceeded European limit 8.7% 17.6% samples collected from public private supplies, respectively, cumulative 4.3% 13.9% respectively. Based findings, we recommend/propose inclusion within regulatory framework that governs quality control guarantee protection health progressively reduce use Argentine agricultural system. Adopting measures will contribute ensuring safety sustainability sources for population.

Language: Английский

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From old pollutants to the regulation of bisphenol A: Lessons learned for health promotion and disease prevention

Preventive Medicine, Journal Year: 2023, Volume and Issue: 169, P. 107460 - 107460

Published: Feb. 20, 2023

Language: Английский

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Endocrine Disruptors and Child Health: Food Contaminant Monitoring in the European Union

The Journal of Pediatrics, Journal Year: 2023, Volume and Issue: 260, P. 113520 - 113520

Published: May 26, 2023

Language: Английский

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Unraveling the pesticide-diabetes connection: A case-cohort study integrating Mendelian randomization analysis with a focus on physical activity's mitigating effect

Ecotoxicology and Environmental Safety, Journal Year: 2024, Volume and Issue: 283, P. 116778 - 116778

Published: July 27, 2024

There is no evidence on the longitudinal and causal associations between multiple pesticides incidence of type 2 diabetes mellitus (T2DM) in Chinese rural population, whether physical activity (PA) modified these remains unclear. Here, we aimed to investigate mixture T2DM, determine PA associations.

Language: Английский

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Effects of a TAML catalyst on mice exposed during pregnancy and lactation

Reproductive Toxicology, Journal Year: 2024, Volume and Issue: 125, P. 108557 - 108557

Published: Feb. 13, 2024

Language: Английский

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Impacto metabólico de los pesticidas en el desarrollo de obesidad y diabetes

MQRInvestigar, Journal Year: 2024, Volume and Issue: 8(1), P. 3139 - 3157

Published: Feb. 26, 2024

Introducción: La obesidad y la diabetes mellitus tipo 2 (DM2) representan entidades patológicas crónicas de creciente incidencia global, cuya etiología es multifactorial, abarcando desde el estilo vida hasta factores ambientales. Entre estos últimos, exposición a pesticidas ha despertado un interés científico notable, sugiriendo una asociación potencial con alteraciones metabólicas. Objetivo: Evaluar evidencia disponible en literatura científica sobre impacto metabólico los desarrollo DM2. Metodología: Se realizó revisión exhaustiva literatura, seleccionando estudios observacionales, ensayos clínicos metaanálisis bases datos biomédicas año 2023. Los criterios inclusión comprendieron humanos modelos animales que evaluaron efecto parámetros metabólicos relacionados Resultados: síntesis señaló se asocia disrupción endocrina, promoviendo adipogénesis resistencia insulina. análisis epidemiológicos correlacionan presencia residuos incrementos prevalencia DM2. respaldan hallazgos, mostrando metabolismo lipídico glucídico tras pesticidas. Conclusiones: emergen como riesgo ambientales significativos para disfunción metabólica, potenciando Esta apunta necesidad establecer políticas regulatorias más estrictas desarrollar estrategias intervención minimizar poblaciones riesgo.

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A strategy to detect metabolic changes induced by exposure to chemicals from large sets of condition-specific metabolic models computed with enumeration techniques

BMC Bioinformatics, Journal Year: 2024, Volume and Issue: 25(1)

Published: July 11, 2024

Abstract Background The growing abundance of in vitro omics data, coupled with the necessity to reduce animal testing safety assessment chemical compounds and even eliminate it evaluation cosmetics, highlights need for adequate computational methodologies. Data from technologies allow exploration a wide range biological processes, therefore providing better understanding mechanisms action (MoA) related exposure systems. However, analysis these large datasets remains difficult due complexity modulations spanning multiple processes. Results To address this, we propose strategy information overload by computing, based on transcriptomics comprehensive metabolic sub-network reflecting impact chemical. proposed integrates transcriptomic data genome scale network through enumeration condition-specific models hence translating into reaction activity probabilities. Based results, graph algorithm is applied retrieve user readable sub-networks possible MoA (mMoA) chemicals. This has been implemented as three-step workflow. first step consists building cell each condition while taking account diversity optimal solutions partial algorithm. In second step, challenge analyzing thousands enumerated networks computing differentially activated reactions (DARs) between two sets models. Finally, third DARs are grouped clusters functionally interconnected reactions, representing mMoA, using distance-based clustering subnetwork extraction method. part workflow was exemplified eight molecules selected their known human hepatotoxic outcomes associated specific MoAs well described literature which retrieved primary hepatocytes Open TG-GATEs. Then, further this more precisely model visualize mMoA (amiodarone valproic acid). approach proved go beyond gene-based identifying when few genes significantly expressed (2 (DEGs) amiodarone), bringing additional topology, or very number were (5709 DEGs both cases, results our fitted evidence regarding MoA. Beyond confirmations, highlighted potential other unexplored mMoA. Conclusion allows toxicology experts decipher cellular metabolism expected be affected exposition given originality resides combination different modelling approaches (constraint modelling). application shows strong interpretation visual mining complex data. presented freely available python module ( https://pypi.org/project/manamodeller/ ) jupyter notebooks https://github.com/LouisonF/MANA ).

Language: Английский

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A influência dos disruptores endócrinos na saúde feminina

Research Society and Development, Journal Year: 2024, Volume and Issue: 13(12), P. e37131247579 - e37131247579

Published: Nov. 30, 2024

Introdução: Os Disruptores Endócrinos (DEs) são produtos químicos de fácil acesso humano e presentes no cotidiano. Sendo assim, esses como ftalatos, bisfenol A (BPA), S (BPS), entre outros, estão associados a algumas doenças diabetes condições do aparelho reprodutivo feminino, endometriose Síndrome Ovário Policístico (SOP). Objetivo: Avaliar as influências potenciais que os disruptores endócrinos apresentam sobre saúde feminina. Metodologia: Trata-se uma revisão narrativa partir da análise artigos estudos científicos publicados 2014 2024, sendo bases dados utilizadas foram PubMed, Scielo EBSCO, forma critérios para inclusão dos foi baseada na conteúdos, título consequente relevância temática; descritores em utilizados (SOP), endócrinos, tipo 2. Resultados: selecionados analisados demonstram indicadores possível relação o contato com DEs incidência diabetes, SOP, endometriose, câncer infertilidade. Conclusão: Este estudo elucidou significativa associação exposição aos prevalentes sociedade, principalmente público obesidade câncer.

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Modifiable contributing factors to COVID-19: A comprehensive review

Food and Chemical Toxicology, Journal Year: 2022, Volume and Issue: 171, P. 113511 - 113511

Published: Nov. 28, 2022

Language: Английский

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