MedElevator Войти в исследования
← Поиск публикаций

DOI 10.1007/s10067-020-04974-z

Медицинская библиотека · Clinical rheumatology · 2020

Serum amino acid metabolic profiles of ankylosing spondylitis by targeted metabolomics analysis.

Zhou Yong, Zhang Xi, Chen Rui, Han Su, Liu Yishu, Liu Xuefeng, Gao Ming, Yang Chundong, Lu Daifeng, Sun Beibei, Chen Hao

СтатьяМногоцентровое исследованиеПеревод в очереди

Аннотация

BACKGROUND

Ankylosing spondylitis (AS) is a common chronic inflammatory arthritis, causing lasting back pain with progressive loss of spinal mobility. However, the exact pathogenesis of AS remains unclear. We aim to use the metabolomics analysis to characterize the metabolic profile of AS, in order to better understand the pathogenesis of AS and monitor disease activity and progression.

METHODS

The ultra-high performance liquid chromatography-triple quadrupole mass spectrometry (UPLC-TQ-MS) was used for investigating the serum amino acid metabolomic profiling of 30 AS patients, in comparison with 32 rheumatoid arthritis (RA) patients and 30 healthy controls, combined with multivariate statistical analysis. Metabolite association analysis with disease activity was performed using generalized linear regression. The metabolic pathway analysis for the important metabolites was performed using MetPA and the metabolic network was constructed.

RESULTS

A total of 29 amino acids and biogenic amines were detected in all participants by UPLC-TQ-MS. It showed significant amino acid differences between the AS/RA patients and control subjects. Additionally, 4-hydroxy-L-proline, alanine, γ-aminobutyric acid, glutamine, and taurine were identified as candidate markers shared by AS/RA groups. Specifically, lysine, proline, serine, and alanine were found correlated with disease activity of AS. Furthermore, the most significant metabolic pathway identified were alanine, aspartate, and glutamate metabolism, arginine and proline metabolism, aminoacyl tRNA biosynthesis and glycine, serine, and threonine metabolism.

CONCLUSIONS

These preliminary results demonstrate that UPLC-TQ-MS analysis method is a powerful tool to identify metabolite profiles of AS. Research in identified disease activity-associated metabolites and biological pathways may provide assistance for clinical diagnosis and pathological mechanism of AS. Key Points • There are perturbations of serum amino acid metabolism in AS, compared with RA and healthy controls, determined by UPLC-TQ-MS. • Metabolomics pathway is used to analysis for the differential metabolites of AS. • The altered serum amino acid could monitor disease activity of AS.

Для цитирования: Zhou Yong, Zhang Xi, Chen Rui, Han Su, Liu Yishu, Liu Xuefeng, Gao Ming, Yang Chundong, Lu Daifeng, Sun Beibei, Chen Hao. Serum amino acid metabolic profiles of ankylosing spondylitis by targeted metabolomics analysis.. Clinical rheumatology. 2020. DOI: 10.1007/s10067-020-04974-z.

Предметные рубрики MeSH

Подготовка и перевод публикации
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…

История · было → стало

Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.

Тип публикации указан по данным источника. Уровень доказательности автоматически не присваивается.