Cadmium exposure exacerbates hyperlipidemia in cholesterol-overloaded hepatocytes via autophagy dysregulation

Rosales-Cruz, Patricia; Domínguez‐Pérez, Mayra; Reyes-Zárate, Elizabeth; Bello-Monroy, Oscar; Enríquez-Cortina, Cristina; Miranda-Labra, Roxana U.; Bucio, Leticia; Gómez-Quiroz, Luís Enrique; Castillo, Emilio Rojas-Del; Gutiérrez‐Ruiz, María Concepción; Souza-Arroyo, Verónica

doi:10.1016/j.tox.2018.02.007

Cited by 36 publications

(15 citation statements)

References 52 publications

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“…Among toxic metals, lead (Pb), mercury (Hg), and cadmium (Cd) are widely dispersed throughout the environment and can be detected in the blood, serum, and urine of people living in polluted areas [2]. Although the general population is often exposed to these metals simultaneously, most studies concerning the health effects of these metals have been carried out on animals, or on human populations with relatively high levels of exposure to individual metals [3,4,5]. Besides, recent studies show that toxic metals interact with other metals in various tissues [6,7].…”

Section: Introductionmentioning

confidence: 99%

Comparisons among Machine Learning Models for the Prediction of Hypercholestrolemia Associated with Exposure to Lead, Mercury, and Cadmium

Park

Kim

2019

IJERPH

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Lead, mercury, and cadmium are common environmental pollutants in industrialized countries, but their combined impact on hypercholesterolemia (HC) is poorly understood. The aim of this study was to compare the performance of various machine learning (ML) models to predict the prevalence of HC associated with exposure to lead, mercury, and cadmium. A total of 10,089 participants of the Korea National Health and Nutrition Examination Surveys 2008–2013 were selected and their demographic characteristics, blood concentration of metals, and total cholesterol levels were collected for analysis. For prediction, five ML models, including logistic regression (LR), k-nearest neighbors, decision trees, random forests, and support vector machines (SVM) were constructed and their predictive performances were compared. Of the five ML models, the SVM model was the most accurate and the LR model had the highest area under receiver operating characteristic (ROC) curve of 0.718 (95% CI: 0.688–0.748). This study shows the potential of various ML methods to predict HC associated with exposure to metals using population-based survey data.

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Section: Introductionmentioning

confidence: 99%

Comparisons among Machine Learning Models for the Prediction of Hypercholestrolemia Associated with Exposure to Lead, Mercury, and Cadmium

Park

Kim

2019

IJERPH

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“…To begin with, the in vitro model of cholesterol incorporation into cells derived from liver cancer was validated (Figure 1a) shows an increase in the cholesterol content in the Huh-7 cells treated with the Cx for 90 min, this increase represents 10-times more cholesterol content than the untreated cells, on the other hand, the cells treated with Cdx show a decrease in the amount of cholesterol compared to the untreated ones, it is important to mention that the impact of cholesterol overload in the in vitro form, must represent physiological values as reported (Rosales-Cruz et al, 2018). We use HepG2 cell line just to validate, that the incorporation of the cho was not exclusively for Huh-7 cell line (Figure 1b).…”

Section: Validation Of Cholesterol Incorporation Stability and Localizationmentioning

confidence: 87%

“…Determinación del colesterol libre con tinción y cuantificación con filipina: las células se fijaron con PFA al 4% durante 15 min a temperatura ambiente. Para la determinación de colesterol libre, las células se incubaron con filipina como se informó previamente (Rosales-Cruz et al, 2018).…”

Section: XVunclassified

“…Se validó el modelo in vitro de incorporación de colesterol en células derivadas de cáncer de hígado. La Figura 1a muestra el aumento en el contenido de colesterol en las células Huh-7 tratadas con el Cx durante 90 min, este aumento representa 10 veces más contenido de colesterol que las células no tratadas, por otro lado, las células tratadas con Cdx muestran disminución en la cantidad de colesterol en comparación con las no tratadas, es importante mencionar que el impacto de la sobrecarga de colesterol in vitro, debe representar los valores fisiológicos reportados (Rosales-Cruz et al, 2018). Usamos la línea celular HepG2 solo para validar, que la incorporación del XVIII colesterol no fue exclusivamente para la línea celular Huh-7 (Figura 1b).…”

Section: Validación De La Estabilidad Y Localización De La Incorporación De Colesterolunclassified

“…Furthermore, we describe the effect of low cadmium acute treatment on hepatocytes obtained from mice fed with a high cholesterol diet. Our data suggest that hepatocytes with cholesterol overload promote an adaptive response against cadmium-induced acute toxicity by up-regulating anti-apoptotic proteins, managing ROS overproduction, increasing GSH synthesis and MT-II content to avoid protein oxidation(Rosales-Cruz et al, 2018) On the other hand, we evaluated the effect of ethanol and acetaldehyde on primary hepatocytes obtained from mice fed for two days with a high cholesterol (HC) diet. HC hepatocytes increased lipid and cholesterol content.…”

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Caracterización de los efectos de la proteína MCL-1 inducida por el colesterol en células derivadas de un hepatocarcinoma humano = Characterization of MCL-1 effects induced by cholesterol in cells derived from human hepatocarcinoma

Ruiz

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Quiroz por su excepcional forma de coordinar este proyecto, por ser un gran ejemplo e inspiración, sin duda el mejor maestro que cualquier alumno podría tener, por su apoyo y sabiduría muchas gracias.To Dr. Cédric Coulouarn thank you so much for supporting me, giving me the opportunity to use his skills and scientific expertise in this project. To show me the greatness of his county, to be my friend and also to be easier my academic stay.A la Dra. Concepción Gutiérrez Ruiz quien se encuentra al frente del laboratorio con singular encanto; por buscar siempre nuevas oportunidades para todos los que formamos parte de este gran equipo, por su apoyo muchas gracias. Dra. Roxana U. Miranda Labra por su apoyo y orientación en todo este proyecto muchas gracias. A todo el equipo que conforma el Laboratorio de Fisiología Celular/Medicina Experimental. (Sha, Edwin, Isme, Monse, Soraya, Arturo, Ale, Jos, Gibran) y a los doctores Lety, Vero y Benja muchas gracias. A mis Amigos quienes son parte importante en todo esto. (Manolo, Jeo, Kanka, Paco,) (Moy, Dante, Maly) todos ustedes son sumamente especiales en esta travesía. V DedicatoriaA mi Madre por ser el pilar fundamental en todo lo que soy, en toda mi educación, tanto académica, como de la vida, por su incondicional apoyo perfectamente mantenido a través del tiempo."Todo este trabajo ha sido posible gracias a ti" A Sharik quien es la única certeza que conservo en esta locura que he convenido en llamar vida, por decidir vivir el camino de la ciencia a mi lado, por luchar cada batalla como uno mismo, por ser mi fuente de inspiración día a día. Gracias."Toda nuestra ciencia, comparada con la realidad, es primitiva e infantil... y sin embargo es lo más preciado que tenemos."Albert Einstein

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Subacute cadmium exposure changes different metabolic functions, leading to type 1 and 2 diabetes mellitus features in female rats

da Costa,

de Oliveira,

Dos Santos

et al. 2024

Environmental Toxicology

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Cadmium (Cd) is a heavy metal that acts as endocrine disrupting chemical (EDC). Few studies have investigated the effects of Cd exposure on metabolic dysfunctions, such as type 1 and 2 diabetes mellitus (T1DM and T2DM). Thus, we assessed whether subacute Cd exposure at occupational levels causes abnormalities in white adipose tissue (WAT), liver, pancreas, and skeletal muscle. We administered cadmium chloride (CdCl2) (100 ppm in drinking water for 30 days) to female rats and evaluated Cd levels in serum and metabolic organs, morphophysiology, inflammation, oxidative stress, fibrosis, and gene expression. High Cd levels were found in serum, WAT, liver, pancreas, and skeletal muscle. Cd‐exposed rats showed low adiposity, dyslipidemia, insulin resistance, systemic inflammation, and oxidative stress compared to controls. Cd exposure reduced adipocyte size, hyperleptinemia, increased cholesterol levels, inflammation, apoptosis and fibrosis in WAT. Cd‐exposed rats had increased liver cholesterol levels, insulin receptor beta (IRβ) and peroxisome proliferator‐activated receptor‐gamma coactivator‐1alpha (PGC1α) expression, karyomegaly, inflammation, and fibrosis. Cd exposure reduced insulin levels and pancreatic islet size and increased inflammation and fibrosis. Cd exposure reduced skeletal muscle fiber diameter and increased IR expression and inflammation. Finally, strong positive correlations were observed between serum, tissue Cd levels, abnormal morphology, tissue inflammation and fibrosis. Thus, these data suggest that subacute Cd exposure impairs WAT, liver, pancreas and skeletal muscle function, leading to T1DM and T2DM features and other complications in female rats.

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Cadmium exposure exacerbates hyperlipidemia in cholesterol-overloaded hepatocytes via autophagy dysregulation

Cited by 36 publications

References 52 publications

Comparisons among Machine Learning Models for the Prediction of Hypercholestrolemia Associated with Exposure to Lead, Mercury, and Cadmium

Comparisons among Machine Learning Models for the Prediction of Hypercholestrolemia Associated with Exposure to Lead, Mercury, and Cadmium

Caracterización de los efectos de la proteína MCL-1 inducida por el colesterol en células derivadas de un hepatocarcinoma humano = Characterization of MCL-1 effects induced by cholesterol in cells derived from human hepatocarcinoma

Subacute cadmium exposure changes different metabolic functions, leading to type 1 and 2 diabetes mellitus features in female rats

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