1H-NMR and HPLC–MS/MS-based global/targeted metabolomic evaluation of Hypericum perforatum L. intervention for menopause

Liu, Yanru; Xiao, Bingkun; Yang, Jianyun; Guo, Chun-Hua; Shen, Shu-Jie; Tang, Zhishu; Dong, Jun-Xing; Huang, Rong-Qing

doi:10.1016/j.jff.2015.06.023

Cited by 12 publications

(12 citation statements)

References 54 publications

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“…Recently, the application of metabolomics for the study of osteoporosis has attracted more and more attention 11 , 12 ; however, most of these early studies used patients’ peripheral body fluids, including serum, plasma, and urine 13 – 15 , and bone tissue-related literature is notably rare. Metabolites changes in the peripheral body fluids include metabolic changes not only induced by osteoporosis but also induced by outside stimuli.…”

Section: Introductionmentioning

confidence: 99%

Integrative Bone Metabolomics—Lipidomics Strategy for Pathological Mechanism of Postmenopausal Osteoporosis Mouse Model

Zhao

Zhang

et al. 2018

Sci Rep

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Osteoporosis, characterized by bone mass reduction and increased fractures, has become a global health problem that seriously affects the health of people, especially postmenopausal women; however, the current pathogenesis of postmenopausal osteoporosis (PMOP) has not been thoroughly elucidated to date. In this study, bilateral ovariectomy was performed to establish an OVX mouse model of osteoporosis. UPLC-Q-TOF-MS-based lipidomics in combination with metabolomics were used to analyze the femur tissue of osteoporosis mice. We found that 11 polar metabolites and 93 lipid metabolites were significantly changed and were involved in amino acid metabolism, nucleotide metabolism and lipid metabolism. Among the lipids, fatty acyls, glycerolipids, glycerophospholipids, sphingolipids and sterols showed robust changes. These results revealed that several metabolic disorders caused by changes in the hormone levels in OVX, especially disordered lipid metabolism, are closely related to the imbalance between bone resorption and formation and may underlie the development of PMOP. The data generated via lipidomics and metabolomics presented in this study shows good applicability and wide coverage in the construction of the metabolic profile of bone tissue. Therefore, this approach may provide the pathway focusing and data support at the metabolite level for the in-depth mechanism of PMOP.

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Section: Introductionmentioning

confidence: 99%

Integrative Bone Metabolomics—Lipidomics Strategy for Pathological Mechanism of Postmenopausal Osteoporosis Mouse Model

Zhao

Zhang

et al. 2018

Sci Rep

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“…Metabolomic studies are conducted by using several analytical platforms; however, nuclear magnetic resonance (NMR) and mass spectrometry (MS) are the most widely reported techniques [ 11 ]. A small number of plasma metabolomic studies have reported that the metabolite concentration shifts under menopausal conditions in ovariectomized (OVX) animals and humans [ 12 , 13 , 14 , 15 ], while numerous studies on the relationship between bone loss and low oestrogen levels in both OVX animals and humans have been reported [ 16 , 17 , 18 , 19 , 20 , 21 , 22 ].…”

Section: Introductionmentioning

confidence: 99%

Association of Plasma Lipids and Polar Metabolites with Low Bone Mineral Density in Singaporean-Chinese Menopausal Women: A Pilot Study

Cabrera

Kruger

Wolber

et al. 2018

IJERPH

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The diagnosis of osteoporosis is mainly based on clinical examination and bone mineral density assessments. The present pilot study compares the plasma lipid and polar metabolite profiles in blood plasma of 95 Singaporean-Chinese (SC) menopausal women with normal and low bone mineral density (BMD) using an untargeted metabolomic approach. The primary finding of this study was the association between lipids and femoral neck BMD in SC menopausal women. Twelve lipids were identified to be associated with low BMD by the orthogonal partial least squares (OPLS) model. Plasma concentrations of eight glycerophospholipid, glycerolipid, and sphingolipid species were significantly lower in menopausal women with low BMD but higher in two glycerophospholipid species (phosphatidylinositol and phosphatidic acid). Further, this study found no significant differences in plasma amino acid metabolites. However, trends for lower 4-aminobutyric acid, turanose, proline, aminopropionitrile, threonine, and methionine were found in women with low BMD. This pilot study identified associations between lipid metabolism and femoral neck BMD in SC women. Further studies are required on larger populations for evaluating the bone health effect of these compounds and their usefulness as clinical biomarkers for osteoporosis prediction in women.

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“…Among various qNMR techniques, 1D 1 H qNMR is extensively used for quantitative metabolomics in complex biological samples (see Table 1), which is mainly classified as: (a) biofluids, such as plasma [71], serum [72][73][74][75][76][77], urine [71][72][73]76,[78][79][80], and cerebral spinal fluid [72]; (b) cell [83,86] and culture media [86,87]; (c) tissue extracts [30,73,88]; (d) plants [89,90]; and (e) microorganisms [73,91]. In spite of a good number of strengths for quantitatively detecting multiple components in complex mixture by 1 H 1D qNMR, its critical drawback is severe spectral overlap.…”

Section: Metabolomicsmentioning

confidence: 99%

Quantitative NMR Studies of Multiple Compound Mixtures

2017

Annual Reports on NMR Spectroscopy

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1H-NMR and HPLC–MS/MS-based global/targeted metabolomic evaluation of Hypericum perforatum L. intervention for menopause

Cited by 12 publications

References 54 publications

Integrative Bone Metabolomics—Lipidomics Strategy for Pathological Mechanism of Postmenopausal Osteoporosis Mouse Model

Integrative Bone Metabolomics—Lipidomics Strategy for Pathological Mechanism of Postmenopausal Osteoporosis Mouse Model

Association of Plasma Lipids and Polar Metabolites with Low Bone Mineral Density in Singaporean-Chinese Menopausal Women: A Pilot Study

Quantitative NMR Studies of Multiple Compound Mixtures

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