Metabonomic study on the anti-osteoporosis effect of Rhizoma Drynariae and its action mechanism using ultra-performance liquid chromatography–tandem mass spectrometry

Liu, Xinyu; Zhang, Shangshang; Lu, Xiumei; Zheng, Shuning; Li, Famei; Xiong, Zhili

doi:10.1016/j.jep.2011.11.017

Cited by 80 publications

(71 citation statements)

References 30 publications

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“…In Lee’s study, the levels of lysoPC 14:0, lysoPC 16:0, lysoPC 16:1, lysoPC 18:0, lysoPC 18:3, lysoPC 20:4, and lysoPC 20:5 increased in the OVX rats. Likewise, the significant increased levels of lysoPCs were also found in Liu’s study [40]. These lysoPCs likely enhanced oxidative stress by generating reactive oxygen species (ROS), the production of which disturbed the balance of the antioxidant–oxidation process, and the associated oxidative stress may lead to extensive bone loss and skeletal fragility [39].…”

Section: Biological and Metabolic Significance Of The Biomarkersmentioning

confidence: 70%

“…Rhizoma Drynariae has effective functions of replenishing the kidney, strengthening the bones, promoting the healing fracture, treating osteoporosis and relieving pain [64]. The research groups of Huang, Zhang, and Liu, respectively, studied the anti-osteoporotic effects of Rhizoma Drynariae extracts on the prednisolone induced rats of the kidney tissue, urine and plasma samples by conducting metabolites analysis [23,40,55]. In TCM theory, it is believed that the kidney controls the bones.…”

Section: The Biomarkers and Their Potential Values In Osteoporosismentioning

confidence: 99%

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Metabolomics and Its Application in the Development of Discovering Biomarkers for Osteoporosis Research

Jiang

Guan

et al. 2016

IJMS

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Osteoporosis is a progressive skeletal disorder characterized by low bone mass and increased risk of fracture in later life. The incidence and costs associated with treating osteoporosis cause heavy socio-economic burden. Currently, the diagnosis of osteoporosis mainly depends on bone mineral density and bone turnover markers. However, these indexes are not sensitive and accurate enough to reflect the osteoporosis progression. Metabolomics offers the potential for a holistic approach for clinical diagnoses and treatment, as well as understanding of the pathological mechanism of osteoporosis. In this review, we firstly describe the study subjects of osteoporosis and bio-sample preparation procedures for different analytic purposes, followed by illustrating the biomarkers with potentially predictive, diagnosis and pharmaceutical values when applied in osteoporosis research. Then, we summarize the published metabolic pathways related to osteoporosis. Furthermore, we discuss the importance of chronological data and combination of multi-omics in fully understanding osteoporosis. The application of metabolomics in osteoporosis could provide researchers the opportunity to gain new insight into the metabolic profiling and pathophysiological mechanisms. However, there is still much to be done to validate the potential biomarkers responsible for the progression of osteoporosis and there are still many details needed to be further elucidated.

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Section: Biological and Metabolic Significance Of The Biomarkersmentioning

confidence: 70%

Section: The Biomarkers and Their Potential Values In Osteoporosismentioning

confidence: 99%

Metabolomics and Its Application in the Development of Discovering Biomarkers for Osteoporosis Research

Jiang

Guan

et al. 2016

IJMS

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“…Tryptophan is one of the essential amino acids and plays an important role in protein synthesis and metabolism [19]. Tryptophan is mainly involved in the following three metabolic pathways: the kynurenic acid metabolic pathway, the indoleacetic acid metabolic pathway and the 5-HT metabolic pathway.…”

Section: Amino Acid Metabolismmentioning

confidence: 99%

Metabonomic identification of the effects of the Zhimu-Baihe saponins on a chronic unpredictable mild stress-induced rat model of depression

Wang²,

et al. 2016

Journal of Pharmaceutical and Biomedical Analysis

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“…Furthermore, chinmedomics may represent a new way to evaluate chinmediformulae's effects, and could contribute to the establishment of a new technique for evaluating the efficacy of chinmediformulae. The anti-osteoporosis effect of Rhizoma drynariae has been confirmed by a plasma chinmedomics method (Liu et al, 2012). The results showed that osteoporosis was prevented by Rhizoma drynariae by intervening in the antioxidant-oxidant balance, tryptophan metabolism, and phenylalanine metabolism in vivo.…”

Section: Analysis Of Chinmediformulae Using Chinmedomicsmentioning

confidence: 90%

Future Perspectives of Chinese Medical Formulae: Chinmedomics as an Effector

Wang

Zhang

Sun

2012

OMICS: A Journal of Integrative Biology

155

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Traditional Chinese medicine (TCM) has been used for thousands of years to treat or prevent disease. The health care paradigm has shifted from a focus on disease to TCM therapy with a holistic approach. However, the actual value of TCM has not been fully recognized worldwide due to a lack of scientific approaches to its study. Today omics has become practically available, and resembles TCM in many aspects, and can serve as a key driving force for the translation of the traditional Chinese medical formulae (chinmediformulae) into practice, and will develop and advance the concept of the metabolomics of chinmediformulae (chinmedomics). Chinmedomics seeks to elucidate the therapeutic and synergistic properties and metabolism of chinmediformulae and the involved metabolic pathways using modern analytical techniques. It is an integral part of top-down systems biology, which aims to improve understanding of chinmediformulae. This approach of combining chinmedomics with chinmediformulae with modern health care systems may lead to a revolution in TCM therapy. Although the scientific study of chinmedomics is at an early stage and requires further scrutiny and validation, the approach has major implications to improve the efficacy of chinmediformulae. This article introduces and reviews the concept of chinmedomics, and highlights recent examples of the approach, which are presented for description and discussion.

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Metabonomic study on the anti-osteoporosis effect of Rhizoma Drynariae and its action mechanism using ultra-performance liquid chromatography–tandem mass spectrometry

Cited by 80 publications

References 30 publications

Metabolomics and Its Application in the Development of Discovering Biomarkers for Osteoporosis Research

Metabolomics and Its Application in the Development of Discovering Biomarkers for Osteoporosis Research

Metabonomic identification of the effects of the Zhimu-Baihe saponins on a chronic unpredictable mild stress-induced rat model of depression

Future Perspectives of Chinese Medical Formulae: Chinmedomics as an Effector

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