Publications by authors named "Lurian Caetano David"

Article Synopsis
  • Human cerumen analysis is emerging as a non-invasive method for diagnosing diseases by detecting volatile organic metabolites (VOMs) in earwax, potentially identifying biomarkers for various health conditions.
  • A study examined how demographic factors like BMI, sex, age, and ethnicity influence the presence and abundance of these VOMs, using data from 70 volunteers and advanced analysis techniques.
  • Results indicated that sex and BMI had a significant effect on VOM abundance, while no clear patterns of discrimination based on demographic factors emerged, highlighting the need for further research in personalized medicine approaches using cerumen analysis.
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Article Synopsis
  • Cancer is a major threat to both humans and dogs, often progressing quickly in canines, highlighting the need for early detection methods.!
  • Researchers tested earwax (cerumen) as a potential source of cancer biomarkers by analyzing samples from dogs with tumors and healthy dogs using advanced gas chromatography techniques.!
  • Their findings identified 18 volatile metabolites that can accurately distinguish between dogs with tumors and healthy ones, achieving a diagnostic accuracy of 95%, making this method a promising non-invasive option for veterinary cancer diagnosis.!
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The use of pyrethroids has increased over recent years, and corresponds to a higher exposure of animals to pesticide residues in the environment and diet. Here, an outbreak of pyrethroid poisoning in beef cattle was reported occurring in Midwestern Brazil. After veterinary evaluation, it was observed that the bovines presented common pyrethroid intoxication symptoms.

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Cancer is the deadliest human disease and the development of new diagnosis methods is important to increase the chances of a cure. In this work it was developed a new method, named here for the first time as cerumenogram, using cerumen (earwax) as a new biomatrix for diagnosis. Earwax samples collected from cancer patients (cancer group) and cancer-free patients (control group) were analyzed by Headspace/Gas Chromatography-Mass Spectrometry (HS/GC-MS), following with multivariate analysis steps to process the raw data generated.

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