Objectives: This study aimed to characterize the systemic lipid profile of patients with asymptomatic hyperuricemia (HUA) and gout using lipidomics, and to find potential underlying pathological mechanisms therefrom.
Methods: Sera were collected from Affiliated Hospital of Nanjing University of Chinese Medicine as centre 1 (discovery and internal validation sets) and Suzhou Hospital of Traditional Chinese Medicine as centre 2 (external validation set), including 88 normal subjects, 157 HUA and 183 gout patients. Lipidomics was performed by ultra high performance liquid chromatography plus Q-Exactive mass spectrometry (UHPLC-Q Exactive MS). Differential metabolites were identifed by both variable importance in the projection ≥1 in orthogonal partial least-squares discriminant analysis mode and false discovery rate adjusted P ≤ 0.05. Biomarkers were found by logistic regression and receiver operating characteristic (ROC) analysis.
Results: In the discovery set, a total of 245 and 150 metabolites, respectively, were found for normal subjects vs HUA and normal subjects vs gout. The disturbed metabolites included diacylglycerol, triacylglycerol (TAG), phosphatidylcholine, phosphatidylethanolamine, phosphatidylinositol, etc. We also found 116 differential metabolites for HUA vs gout. Among them, the biomarker panel of TAG 18:1-20:0-22:1 and TAG 14:0-16:0-16:1 could differentiate well between HUA and gout. The area under the receiver operating characteristic ROC curve was 0.8288, the sensitivity was 82% and the specificity was 78%, at a 95% CI 0.747, 0.9106. In the internal validation set, the predictive accuracy of TAG 18:1-20:0-22:1 and TAG 14:0-16:0-16:1 panel for differentiation of HUA and gout reached 74.38%, while it was 84.03% in external validation set.
Conclusion: We identified serum biomarkers panel that have the potential to predict and diagnose HUA and gout patients.
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http://dx.doi.org/10.1093/rheumatology/keab743 | DOI Listing |
Front Microbiol
December 2024
College of Food and Bioengineering, Henan University of Science and Technology, Luoyang, China.
Introduction: Hyperuricemia (HUA) refers to the presence of excess uric acid (UA) in the blood, which increases the risk of chronic kidney disease and gout. Probiotics have the potential to alleviate HUA.
Methods: This study established a hyperuricemia model using (), and studied the anti-hyperuricemia activity and potential mechanisms of BC99 () at different concentrations (10 CFU/mL BC99, 10 CFU/mL BC99).
J Inflamm Res
December 2024
School of Basic Medical Sciences, Guangdong Pharmaceutical University, Guangzhou, People's Republic of China.
Background: Hyperuricemia (HUA), a common metabolic disorder associated with gout, renal dysfunction, and systemic inflammation, necessitates safer and more comprehensive therapeutic approaches. Traditional Tibetan medicine has a rich history of treating HUA. This study aimed to identify novel anti-hyperuricemic herb derived from traditional Tibetan medicine.
View Article and Find Full Text PDFWorld J Gastroenterol
December 2024
Department of Cell Biology, Jinan Microecological Biomedicine Shandong Laboratory, Jinan 250117, Shandong Province, China.
In this manuscript, we comment on the article by Liu published in the recent issue of the journal. Hyperuricemia (HUA) has become the second most common metabolic disease after type 2 diabetes mellitus and is the most important risk factor for gout. This discussion focuses on the targets and clinical application value of traditional Chinese medicine (TCM) extracts in the treatment of HUA and gout, emphasizing the role of gut microbiota.
View Article and Find Full Text PDFBMC Public Health
December 2024
Department of Sports Medicine, Huashan Hospital, Fudan University, Shanghai, China.
Background: The increasing prevalence of sedentary lifestyles has raised concerns about its health impacts. This study sought to explore the association between sedentary behaviour and gout, a condition historically linked with affluent lifestyles but now increasingly prevalent in the general population.
Methods: Utilizing data from the National Health and Nutrition Examination Survey database, this cross-sectional study analysed 34,526 participants from 2007 to 2018.
Naunyn Schmiedebergs Arch Pharmacol
December 2024
Department of Zoology, Guru Ghasidas Vishwavidyalaya, Bilaspur, 495009, India.
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