Publications by authors named "Ana C Mateos"
Background: A large group of psychiatric patients suffer from auditory hallucinations (AH) despite relevant treatment regimens. In mental health populations, AH tend to be verbal (AVH) and the content critical or abusive. Trials employing immersive virtual reality (VR) to treat mental health disorders are emerging.
View Article and Find Full Text PDFThree years have passed since the outbreak of Coronavirus Disease 2019 (COVID-19) brought the world to standstill. In most countries, the restrictions have ended, and the immunity of the population has increased; however, the possibility of new dangerous variants emerging remains. Therefore, it is crucial to develop tools to study and forecast the dynamics of future pandemics.
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- Several studies indicate fine particulate matter (PM) is a major contributor to air pollution and can cause harm not only to the respiratory and cardiovascular systems but also to the liver, yet there is limited research on this.
- In an experiment with healthy rats exposed to urban levels of PM slightly above World Health Organization guidelines, findings showed elevated levels of metals like Cr, Zn, Fe, Ba, Tl, and Pb in the liver, alongside several serious tissue changes.
- The results suggest that low levels of PM can lead to significant liver damage, indicating that both the concentration and composition of PM play crucial roles in its toxic effects.
Article Synopsis
- About 3 million people die annually from ambient air pollution, highlighting its severe health impacts.
- Most research on particulate matter (PM) has focused on respiratory and cardiovascular issues, leaving a knowledge gap regarding its effects on kidney function.
- The study found that sub-chronic PM exposure caused significant kidney damage in rats, especially in hypertensive models, indicating that even low levels of PM can negatively affect renal health.
The composition and concentration of polycyclic aromatic hydrocarbons (PAHs) adsorbed on particles smaller than 10 microns (PM) were analyzed in an urban area during a 2-year period from August 2011 to August 2013. Diagnostic ratios (DR) and positive matrix factorization (PMF) were employed to assess emission sources. To discount weather influence, a multiple linear regression model was generated and also a photodecomposition index was calculated for each sample.
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