The fungal gut microbiota in pediatric-onset multiple sclerosis.

Evidence suggests that the gut microbiome may play a role in multiple sclerosis (MS). However, the majority of the studies have focused on gut bacterial communities; none have examined the fungal microbiota (mycobiota) in persons with pediatric-onset multiple sclerosis (POMS). We examined the gut mycobiota in persons with and without POMS through a cross-sectional examination of the gut mycobiota from 46 participants' stool samples (three groups: 18 POMS, 13 acquired monophasic demyelinating syndromes [monoADS], and 15 unaffected controls).

Kidney hyperfiltration and mitochondrial changes are associated with eGFR decline in young people with type 1 diabetes.

Objectives: To examine the relationship between kidney hyperfiltration during adolescence and subsequent changes in estimated glomerular filtration rate (eGFR) and urinary albumin creatinine ratio (UACR) in a young cohort of participants with type 1 diabetes. Additionally, to explore urinary mitochondrial DNA:nuclear DNA ratio (mtDNA:nDNA) as a marker of metabolic stress and its association with early changes in kidney function.

Methods: Eighty adolescents were studied at baseline [mean (SD) age 14.

Factors influencing unrelated stem cell donation a mixed-methods integrated systematic review.

Purpose: There is an imbalance between demand for and availability of stem cell donors worldwide. The purpose of this systematic review is to provide the first comprehensive understanding of facilitators and barriers influencing unrelated stem cell donation (USCD) in adults, through a data synthesis of qualitative and quantitative evidence. Identification of the facilitators and barriers associated with stem cell donation intention and behaviour is essential to inform the development of behaviour change interventions to meet the current demand.

Decentralized state estimation: An approach using pseudomeasurements and preintegration.

This paper addresses the problem of decentralized, collaborative state estimation in robotic teams. In particular, this paper considers problems where individual robots estimate similar physical quantities, such as each other's position relative to themselves. The use of is introduced as a means of modeling such relationships between robots' state estimates and is shown to be a tractable way to approach the decentralized state estimation problem.