New derivative of trans-dehydrocrotonin isolated from Croton cajucara shows reduced cytotoxic and genotoxic effects in hepatocellular carcinoma (HepG2) cell line.

The Croton cajucara (Euphorbiales, Euphorbiaceae) plant occurs widely in the Amazon region, where its leaves and stem bark are consumed by the population to treat several diseases. The secondary metabolite trans-dehydrocrotonin (DCTN) is mainly accountable for the biological activities of this plant. However, prolonged consumption is associated with hepatotoxic effects due to the furan ring present in the molecule. This group is responsible for toxicity reactions in other drugs. In this work, we inserted a COOH group into the molecule to prevent the formation of toxic intermediates. We assessed the cytotoxicity and genotoxicity of both molecules on HepG2 cells. Results showed that the new derivative (CCTN) is less cytotoxic and did not reduce cell viability at any concentration tested. Genotoxicity was also reduced as assessed by the comet and micronucleus assay. Therefore, the new derivative appears to be promising and additional tests should be performed to evaluate its therapeutic activities.

Thought on Food: A Systematic Review of Current Approaches and Challenges for Food Intake Detection.

Nowadays, individuals have very stressful lifestyles, affecting their nutritional habits. In the early stages of life, teenagers begin to exhibit bad habits and inadequate nutrition. Likewise, other people with dementia, Alzheimer's disease, or other conditions may not take food or medicine regularly. Therefore, the ability to monitor could be beneficial for them and for the doctors that can analyze the patterns of eating habits and their correlation with overall health. Many sensors help accurately detect food intake episodes, including electrogastrography, cameras, microphones, and inertial sensors. Accurate detection may provide better control to enable healthy nutrition habits. This paper presents a systematic review of the use of technology for food intake detection, focusing on the different sensors and methodologies used. The search was performed with a Natural Language Processing (NLP) framework that helps screen irrelevant studies while following the PRISMA methodology. It automatically searched and filtered the research studies in different databases, including PubMed, Springer, ACM, IEEE Xplore, MDPI, and Elsevier. Then, the manual analysis selected 30 papers based on the results of the framework for further analysis, which support the interest in using sensors for food intake detection and nutrition assessment. The mainly used sensors are cameras, inertial, and acoustic sensors that handle the recognition of food intake episodes with artificial intelligence techniques. This research identifies the most used sensors and data processing methodologies to detect food intake.

Synchrotron infrared nanospectroscopy on a graphene chip.

A recurring goal in biology and biomedicine research is to access the biochemistry of biological processes in liquids that represent the environmental conditions of living organisms. These demands are becoming even more specific as microscopy techniques are fast evolving in the era of single cell analysis. In the modality of chemical probes, synchrotron infrared spectroscopy (µ-FTIR) is a technique that is extremely sensitive to vibrational responses of materials; however, the classical optical limits prevent the technique to access the biochemistry of specimens at the subcellular level. In addition, due to the intricate environmental requirements and strong infrared absorption of water, µ-FTIR of bioprocesses in liquids remains highly challenging. In phase with these challenges, on-chip liquid cells emerge as a versatile alternative to control the water thickness while providing a biocompatible chemical environment for analytical analyses. In this work we report the development of a liquid platform specially designed for nanoscale infrared analysis of biomaterials in wet environments. A key advantage of our designed platform is the use of graphene as an optical window that interfaces wet and dry environments in the liquid cell. By combining near-field optical microscopy and synchrotron infrared radiation, we measure the nanoscale fingerprint IR absorbance of a variety of liquids often used in biological studies. Further, we demonstrate the feasibility of the platform for the chemical analysis of protein clusters immersed in water with a clear view of the proteins' secondary structure signatures. The simplicity of the proposed platform combined with the high quality of our data makes our findings a template for future microfluidic devices targeting dynamic nanoscale-resolved chemical analysis.