Abstract:Metabolomic analysis was performed to determine the metabolomic signature of osteonecrosis of the femoral head (ONFH), and to investigate the underlying relationship between the metabolomic signature and the pathogenesis of ONFH. Plasma samples were collected from 30 ONFH patients and 30 normal subjects. The global metabolomic profile was obtained through a combination of high-throughput liquid-and gas-chromatography-based mass spectrometry analyses. All statistical analyses were conducted using the R software… Show more
“…Metabolites belonging to polyamine and urea pathway was also found to be deregulated 1 . Metabolomics of plasma of AVNFH showed 48 differentially regulated metabolites 23 while that of bone trabeculae showed 53 differentially regulated metabolites 25 . Pathway annotation analysis of these metabolites belonging to individual cohorts were carried out using MetaboAnalyst 30 .…”
Section: Proteomic Analysis Of Avnfh Bone Shows Deregulation In Multimentioning
confidence: 99%
“…Data from three published metabolomic analyses were used for our study. Our previous study involving targeted metabolomics of plasma samples from 14 patients compared to 14 healthy control samples were used 1 www.nature.com/scientificreports/ patients compared to 30 healthy controls 23 , and a bone trabecular metabolomics study of 28 patients compared to 20 controls 25 .…”
Section: Avnfh Gene Expression Microarray Proteomic and Metabolomicsmentioning
Avascular necrosis of femoral head (AVNFH) is a debilitating disease, which affects the middle aged population. Though the disease is managed using bisphosphonate, it eventually leads to total hip replacement due to collapse of femoral head. Studies regarding the association of single nucleotide polymorphisms with AVNFH, transcriptomics, proteomics, metabolomics, biophysical, ultrastructural and histopathology have been carried out. Functional validation of SNPs was carried out using literature. An integrated systems analysis using the available datasets might help to gain further insights into the disease process. We have carried out an analysis of transcriptomic data from GEO-database, SNPs associated with AVNFH, proteomic and metabolomic data collected from literature. Based on deficiency of vitamins in AVNFH, an enzyme-cofactor network was generated. The datasets are analyzed using ClueGO and the genes are binned into pathways. Metabolomic datasets are analyzed using MetaboAnalyst. Centrality analysis using CytoNCA on the data sets showed cystathionine beta synthase and methylmalonyl-CoA-mutase to be common to 3 out of 4 datasets. Further, the genes common to at least two data sets were analyzed using DisGeNET, which showed their involvement with various diseases, most of which were risk factors associated with AVNFH. Our analysis shows elevated homocysteine, hypoxia, coagulation, Osteoclast differentiation and endochondral ossification as the major pathways associated with disease which correlated with histopathology, IHC, MRI, Micro-Raman spectroscopy etc. The analysis shows AVNFH to be a multi-systemic disease and provides molecular signatures that are characteristic to the disease process.
“…Metabolites belonging to polyamine and urea pathway was also found to be deregulated 1 . Metabolomics of plasma of AVNFH showed 48 differentially regulated metabolites 23 while that of bone trabeculae showed 53 differentially regulated metabolites 25 . Pathway annotation analysis of these metabolites belonging to individual cohorts were carried out using MetaboAnalyst 30 .…”
Section: Proteomic Analysis Of Avnfh Bone Shows Deregulation In Multimentioning
confidence: 99%
“…Data from three published metabolomic analyses were used for our study. Our previous study involving targeted metabolomics of plasma samples from 14 patients compared to 14 healthy control samples were used 1 www.nature.com/scientificreports/ patients compared to 30 healthy controls 23 , and a bone trabecular metabolomics study of 28 patients compared to 20 controls 25 .…”
Section: Avnfh Gene Expression Microarray Proteomic and Metabolomicsmentioning
Avascular necrosis of femoral head (AVNFH) is a debilitating disease, which affects the middle aged population. Though the disease is managed using bisphosphonate, it eventually leads to total hip replacement due to collapse of femoral head. Studies regarding the association of single nucleotide polymorphisms with AVNFH, transcriptomics, proteomics, metabolomics, biophysical, ultrastructural and histopathology have been carried out. Functional validation of SNPs was carried out using literature. An integrated systems analysis using the available datasets might help to gain further insights into the disease process. We have carried out an analysis of transcriptomic data from GEO-database, SNPs associated with AVNFH, proteomic and metabolomic data collected from literature. Based on deficiency of vitamins in AVNFH, an enzyme-cofactor network was generated. The datasets are analyzed using ClueGO and the genes are binned into pathways. Metabolomic datasets are analyzed using MetaboAnalyst. Centrality analysis using CytoNCA on the data sets showed cystathionine beta synthase and methylmalonyl-CoA-mutase to be common to 3 out of 4 datasets. Further, the genes common to at least two data sets were analyzed using DisGeNET, which showed their involvement with various diseases, most of which were risk factors associated with AVNFH. Our analysis shows elevated homocysteine, hypoxia, coagulation, Osteoclast differentiation and endochondral ossification as the major pathways associated with disease which correlated with histopathology, IHC, MRI, Micro-Raman spectroscopy etc. The analysis shows AVNFH to be a multi-systemic disease and provides molecular signatures that are characteristic to the disease process.
“…Bian et al reported that dexamethasone regulated lipid metabolism‐associated microRNAs in osteogenically induced human mesenchymal stem cells. Metabolomics analysis performed on 30 patients with GC‐induced ONFH and 30 healthy controls revealed that the abnormal metabolites induced by GCs were primarily in lipid‐, glutathione‐, nucleotide‐, and energy‐associated pathways …”
Section: Discussionmentioning
confidence: 99%
“…Metabolomics analysis performed on 30 patients with GC-induced ONFH and 30 healthy controls revealed that the abnormal metabolites induced by GCs were primarily in lipid-, glutathione-, nucleotide-, and energy-associated pathways. 19 HDL and its major functional component apo-A1 counteract excessive cellular cholesterol accumulation and promote reverse cholesterol transport. In the present study, patients with lower baseline levels of HDL-C tended to have a higher risk of GC-induced ONFH (Fig.…”
Section: Hdl-c and Apo-b/apo-a1: Potential Predictive Value Of Lipid mentioning
“…In recent years, authors looking to embrace a consensus of opinion related to the pathogenesis of ONFH in their works have been devoting increasingly more attention to the importance of abnormal lipid metabolism 21. Research works over these years have supported the fact that ONFH is a problem of not merely local avascular status associated with bone necrosis but also including a systemic angle – in view of a significant contribution of hyperlipidemia 22.…”
ObjectiveDecreased adiponectin (APN) levels have been detected in patients with osteonecrosis of the femoral head (ONFH). The scope of this study was aimed to explore the relationship between serum APN levels and disease severity in nontraumatic ONFH patients.Patients and methodsNinety two nontraumatic ONFH patients and 92 healthy controls were enrolled for this study following the estimation of sample size. Serum APN concentrations were examined by enzyme-linked immunosorbent assay (ELISA). The radiographic progression was determined by Ficat grading system. The clinical severity was evaluated by visual analog scale (VAS), Harris hip scores (HSSs) and Western Ontario and McMaster University Osteoarthritis Index (WOMAC) scores.ResultsSerum APN levels were significantly lower in ONFH patients than in healthy controls. Serum APN levels were significantly lower in patients with Ficat stage 4 ONFH than in patients with stage 3 ONFH, and APN levels in patients with stage 3 were lower compared with stage 2. Serum APN levels were negatively correlated with the Ficat grading system. In addition, serum APN levels were also negatively related to VAS and WOMAC scores and positively associated with HSSs.ConclusionDecreased serum APN levels may reflect disease severity of nontraumatic ONFH.
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