Kim Kultima

The paper examines lipid metabolism and anti-satellite glial cell IgG antibodies in fibromyalgia patients, finding associations between lipid concentrations, symptom severity, and autoantibody levels.

The paper examines bile acid and short-chain fatty acid levels in fibromyalgia patients and healthy controls, finding higher bile acid levels in patients and associations with autoantibodies and mental well-being.

This study finds that fibromyalgia patients with higher anti-satellite glia cell IgG antibodies have more severe symptoms, suggesting these antibodies may contribute to disease severity.

The paper identifies LPC16:0 as a mediator of chronic joint pain through ASIC3, supported by preclinical and clinical evidence.

The paper introduces a microservices-based framework for scalable data analysis, validated in metabolomics, enabling dynamic scaling and integration of software tools.

PhenoMeNal provides a cloud-based platform for metabolomics data analysis, integrating tools and workflows to enable reproducible and scalable research.

The paper demonstrates the use of Pachyderm for efficient and reproducible metabolomics workflows in bioinformatics.