Agathisflavone Inhibits Viability and Modulates the Expression of miR-125b, miR-155, IL-6, and Arginase in Glioblastoma Cells and Microglia/Macrophage Activation.

Glioblastomas (GBM) are malignant tumours with poor prognosis. Treatment involves chemotherapy and/or radiotherapy; however, there is currently no standard treatment for recurrence, and prognosis remains unfavourable. Inflammatory mediators and microRNAs (miRNAs) influence the aggressiveness of GBM, being involved in the communication with the cells of the tumour parenchyma, including microglia/macrophages, and maintaining an immunosuppressive microenvironment.

First report of causing bacteria wilt on eucalyptus in Brazil.

The Ralstonia solanacearum Species Complex (RSSC) is the most significant plant pathogen group with a wide host range. It is genetically related but displays distinct biological features, such as restrictive geography occurrence. The RSSC comprises three species: Ralstonia pseudosolanacearum (phylotype I and III), Ralstonia solanacearum (phylotype IIA and IIB), and Ralstonia syzygii (phylotype IV) (Fegan and Prior 2005).

A Post-Mortem Molecular Damage Profile in the Ancient Human Mitochondrial DNA.

Mitochondrial DNA (mtDNA) analysis is crucial for understanding human population structure and genetic diversity. However, post-mortem DNA damage poses challenges, that make analysis difficult. DNA preservation is affected by environmental conditions which, among other factors, complicates the differentiation of endogenous variants from artefacts in ancient mtDNA mix profiles.

Cymbopogon citratus showing nematicidal activity against Heligmosomoides polygyrus bakeri.

This paper describes a novel in vivo study of Cymbopogon citratus (lemon grass) to assess its anthelmintic activity. To this end, C57BL/6 mice were separated into three groups: G1: uninfected; G2: negative control infected with Heligmosomoides polygyrus bakeri and administered with 3% dimethyl sulfoxide (DMSO); and G3: infected with H. polygyrus bakeri and treated with C.

A Comprehensive Dataset of Surface Electromyography and Self-Perceived Fatigue Levels for Muscle Fatigue Analysis.

Muscle fatigue is a risk factor for injuries in athletes and workers. This brings relevance to the study of this biochemical process to allow for its identification and prevention. This paper presents a novel dataset for muscle fatigue analysis comprising surface electromyography data from upper-limbs and the subject's self-perceived fatigue level.