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Systems analysis of avascular necrosis of femoral head using integrative data analysis and literature mining delineates pathways associated with disease
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 pol...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7581770/ https://www.ncbi.nlm.nih.gov/pubmed/33093559 http://dx.doi.org/10.1038/s41598-020-75197-0 |
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author | Naik, Ashwin Ashok Narayanan, Aswath Khanchandani, Prakash Sridharan, Divya Sukumar, Piruthivi Srimadh Bhagavatam, Sai Krishna Seshagiri, Polani B. Sivaramakrishnan, Venketesh |
author_facet | Naik, Ashwin Ashok Narayanan, Aswath Khanchandani, Prakash Sridharan, Divya Sukumar, Piruthivi Srimadh Bhagavatam, Sai Krishna Seshagiri, Polani B. Sivaramakrishnan, Venketesh |
author_sort | Naik, Ashwin Ashok |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7581770 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-75817702020-10-23 Systems analysis of avascular necrosis of femoral head using integrative data analysis and literature mining delineates pathways associated with disease Naik, Ashwin Ashok Narayanan, Aswath Khanchandani, Prakash Sridharan, Divya Sukumar, Piruthivi Srimadh Bhagavatam, Sai Krishna Seshagiri, Polani B. Sivaramakrishnan, Venketesh Sci Rep Article 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. Nature Publishing Group UK 2020-10-22 /pmc/articles/PMC7581770/ /pubmed/33093559 http://dx.doi.org/10.1038/s41598-020-75197-0 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Naik, Ashwin Ashok Narayanan, Aswath Khanchandani, Prakash Sridharan, Divya Sukumar, Piruthivi Srimadh Bhagavatam, Sai Krishna Seshagiri, Polani B. Sivaramakrishnan, Venketesh Systems analysis of avascular necrosis of femoral head using integrative data analysis and literature mining delineates pathways associated with disease |
title | Systems analysis of avascular necrosis of femoral head using integrative data analysis and literature mining delineates pathways associated with disease |
title_full | Systems analysis of avascular necrosis of femoral head using integrative data analysis and literature mining delineates pathways associated with disease |
title_fullStr | Systems analysis of avascular necrosis of femoral head using integrative data analysis and literature mining delineates pathways associated with disease |
title_full_unstemmed | Systems analysis of avascular necrosis of femoral head using integrative data analysis and literature mining delineates pathways associated with disease |
title_short | Systems analysis of avascular necrosis of femoral head using integrative data analysis and literature mining delineates pathways associated with disease |
title_sort | systems analysis of avascular necrosis of femoral head using integrative data analysis and literature mining delineates pathways associated with disease |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7581770/ https://www.ncbi.nlm.nih.gov/pubmed/33093559 http://dx.doi.org/10.1038/s41598-020-75197-0 |
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