ArticleFrontiers in endocrinology2022
Discovery of Potential Biomarkers for Postmenopausal Osteoporosis Based on Untargeted GC/LC-MS.
Article in Frontiers in endocrinology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.
- Distinct Metabolites in Osteopenia and Osteoporosis: A Systematic Review and Meta-Analysis.Nutrients · 2023Pooled it
- Integration of metabolomics and machine learning algorithm for discovery of early diagnostic biomarkers of osteoporosis.Metabolomics : Official journal of the Metabolomic Society · 2026Article
- Plasma metabolomic profiles and risk of hip fracture among US individuals: a nested case-control and prospective cohort study.EBioMedicine · 2026Article
- Advances in omics technologies for traditional Chinese medicine in the prevention and treatment of metabolic bone diseases.Frontiers in pharmacology · 2025Review
- Study on gut microbiota and metabolomics in postmenopausal women.BMC women's health · 2024Article
- iPSCs-derived iMSCs prevent osteoporotic bone loss and affect bone metabolites in ovariectomized mice.Journal of cellular and molecular medicine · 2024Article
- From Genomics to Metabolomics: Molecular Insights into Osteoporosis for Enhanced Diagnostic and Therapeutic Approaches.Biomedicines · 2024Review
- Article
- Early changes of bone metabolites and lymphocyte subsets may participate in osteoporosis onset: a preliminary study of a postmenopausal osteoporosis mouse model.Frontiers in endocrinology · 2024Article
- Plasma Metabolomic Profiling after Feeding Dried Distiller's Grains with Solubles in Different Cattle Breeds.International journal of molecular sciences · 2023Article
- A metabonomic study to explore potential markers of asymptomatic hyperuricemia and acute gouty arthritis.Journal of orthopaedic surgery and research · 2023Article
- The Hub Genes Related to Osteoporosis Were Identified by Bioinformatics Analysis.BioMed research international · 2023Article
- Discovery of potential biomarkers for osteoporosis using LC/GC-MS metabolomic methods.Frontiers in endocrinology · 2023Article
- A Multi-Omics Analysis Reveals Anti-Osteoporosis Mechanism of Four Components from Crude and Salt-ProcessedMolecules (Basel, Switzerland) · 2022Article
Corrections and comments
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Authors and funding
10 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: As an important public health problem, osteoporosis (OP) in China is also in an upward trend year by year. As a standard method for diagnosing OP, dual-energy X-ray absorptiometry (DXA) cannot analyze the pathological process but only see the results. It is difficult to evaluate the early diagnosis of OP. Our study was carried out through a serum metabolomic study of OP in Chinese postmenopausal women on untargeted gas chromatography (GC)/liquid chromatography (LC)-mass spectrometry (MS) to find possible diagnostic markers. Materials and Methods: 50 Chinese postmenopausal women with osteoporosis and 50 age-matched women were selected as normal controls. We first used untargeted GC/LC-MS to analyze the serum of these participants and then combined it with a large number of multivariate statistical analyses to analyze the data. Finally, based on a multidimensional analysis of the metabolites, the most critical metabolites were considered to be biomarkers of OP in postmenopausal women. Further, biomarkers identified relevant metabolic pathways, followed by a map of metabolic pathways found in the database. Results: We found that there may be metabolic pathway disorders like glucose metabolism, lipid metabolism, and amino acid metabolism in postmenopausal women with OP. 18 differential metabolites are considered to be potential biomarkers of OP in postmenopausal women which are a major factor in metabolism and bone physiological function. Conclusion: These findings can be applied to clinical work through further validation studies. It also shows that metabonomic analysis has great potential in the application of early diagnosis and recurrence monitoring in postmenopausal OP women.
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