Dataset Information

Quantification of aminobutyric acids and their clinical applications as biomarkers for osteoporosis.

ABSTRACT: Osteoporosis is a highly prevalent chronic aging-related disease that frequently is only detected after fracture. We hypothesized that aminobutyric acids could serve as biomarkers for osteoporosis. We developed a quick, accurate, and sensitive screening method for aminobutyric acid isomers and enantiomers yielding correlations with bone mineral density (BMD) and osteoporotic fracture. In serum, γ-aminobutyric acid (GABA) and (R)-3-aminoisobutyric acid (D-BAIBA) have positive associations with physical activity in young lean women. D-BAIBA positively associated with hip BMD in older individuals without osteoporosis/osteopenia. Lower levels of GABA were observed in 60-80 year old women with osteoporotic fractures. Single nucleotide polymorphisms in seven genes related to these metabolites associated with BMD and osteoporosis. In peripheral blood monocytes, dihydropyrimidine dehydrogenase, an enzyme essential to D-BAIBA generation, exhibited positive association with physical activity and hip BMD. Along with their signaling roles, BAIBA and GABA might serve as biomarkers for diagnosis and treatments of osteoporosis.

SUBMITTER: Wang Z

PROVIDER: S-EPMC6976694 | biostudies-literature | 2020 Jan

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Quantification of aminobutyric acids and their clinical applications as biomarkers for osteoporosis.

Wang Zhiying Z Bian Liangqiao L Mo Chenglin C Shen Hui H Zhao Lan Juan LJ Su Kuan-Jui KJ Kukula Maciej M Lee Jauh Tzuoh JT Armstrong Daniel W DW Recker Robert R Lappe Joan J Bonewald Lynda F LF Deng Hong-Wen HW Brotto Marco M

Communications biology 20200122 1

Osteoporosis is a highly prevalent chronic aging-related disease that frequently is only detected after fracture. We hypothesized that aminobutyric acids could serve as biomarkers for osteoporosis. We developed a quick, accurate, and sensitive screening method for aminobutyric acid isomers and enantiomers yielding correlations with bone mineral density (BMD) and osteoporotic fracture. In serum, γ-aminobutyric acid (GABA) and (R)-3-aminoisobutyric acid (D-BAIBA) have positive associations with ph ...[more]

PMID: 31969651

Similar Datasets

Project description:Background: Osteoporosis and diabetes represent major global public health challenges. Neutrophil extracellular traps (NETs) serve as key components of the innate immune system by capturing bacteria, fungi, and parasites, thereby trapping them in local environments with high concentrations of antimicrobial agents leading to their elimination. This study aimed to identify biomarkers associated with NETs in osteoporosis with diabetes, and to explore the underlying molecular mechanisms. Methods: A transcriptomic sequencing dataset was obtained for osteoporosis combined with diabetes. The NETs-related genes (NETs-RGs) were obtained from previous literature. Biomarkers were identified through differential analysis, machine learning, and receiver operating characteristic (ROC). The identified biomarkers were further validated by qRT-PCR and ELISA. Subsequently, molecular regulatory network construction, immune infiltration analysis, enrichment analysis, and drug prediction were conducted. Results: S100A12 and SLC25A37 were identified as biomarkers. Their significant upregulation at the protein level was further confirmed by experimental validation in an independent cohort. Enrichment analysis indicated that S100A12 was significantly enriched in 68 pathways, including \"ECM receptor interaction\", \"maturity onset diabetes of the young\", and others. SLC25A37 was significantly enriched in 54 pathways, primarily including \"ribosome\", \"leishmania infection\", and \"Toll-like receptor signaling pathway\". A total of 7 immune cell types exhibited significant differences between the two groups, including neutrophils and regulatory T cells. A total of 59 miRNAs and 43 lncRNAs were predicted. Additionally, XIST-hsa-miR-146a-5p-S100A12 and XIST-hsa-miR-7-5-SLC25A37 were suggested to have potential regulatory roles in osteoporosis with diabetes. Drugs such as rimegepant and eptinezumab were associated with biomarkers. Conclusion: S100A12 and SLC25A37 were identified as biomarkers associated with NETs in osteoporosis with diabetes, providing a theoretical foundation for developing targeted treatments for osteoporosis with diabetes.

Dataset Information

Quantification of aminobutyric acids and their clinical applications as biomarkers for osteoporosis.

Publications

Quantification of aminobutyric acids and their clinical applications as biomarkers for osteoporosis.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets