Collection of optimizations for untargeted metabolomics analysis of Leishmania promastigotes using gas chromatography-mass spectrometry.

There is no consensus in the literature regarding the ideal protocol for obtaining and preparing cell samples for untargeted metabolomics. Nevertheless, the procedures must be carefully evaluated for proper and reliable results for each organism under study. This work proposes a novel protocol for determining intracellular metabolites in Leishmania promastigotes and is fully optimized for application in conjunction with gas chromatography-mass spectrometry platforms.

Corrigendum: An automatic measure for speech intelligibility in dysarthrias-validation across multiple languages and neurological disorders.

[This corrects the article DOI: 10.3389/fdgth.2024.

Chest wall resections for advanced breast cancer: a narrative review.

Background And Objective: Advanced breast cancer (BC) can involve the chest wall through local invasion by the primary tumor, locoregional recurrence, hematogenous metastasis, or sternum infiltration of the internal mammary chain lymph nodes. The purpose of this article is to review indications and the methods of chest wall resection and reconstruction in patients with advanced BC.

Methods: An online literature search was conducted on PubMed database using the following keywords: "chest wall reconstruction" or "chest wall resection" and "breast cancer".

The voice of depression: speech features as biomarkers for major depressive disorder.

Background: Psychiatry faces a challenge due to the lack of objective biomarkers, as current assessments are based on subjective evaluations. Automated speech analysis shows promise in detecting symptom severity in depressed patients. This project aimed to identify discriminating speech features between patients with major depressive disorder (MDD) and healthy controls (HCs) by examining associations with symptom severity measures.

Detecting fatigue in multiple sclerosis through automatic speech analysis.

Multiple sclerosis (MS) is a chronic neuroinflammatory disease characterized by central nervous system demyelination and axonal degeneration. Fatigue affects a major portion of MS patients, significantly impairing their daily activities and quality of life. Despite its prevalence, the mechanisms underlying fatigue in MS are poorly understood, and measuring fatigue remains a challenging task.