An Integrated Approach to Identify Intrinsically Disordered Regions in Osteopontin with its Interacting Network in Rheumatoid Arthritis.

BACKGROUND: Credentials of molecular diagnostic approaches are an important goal. Since protein-protein interaction (PPI) network analysis is an apposite method for molecular valuation, a PPI grid related to Intrinsically Disordered Proteins (IDPs) of RA was targeted in the present research. AIM: The aim of the study is to analyse the role of highly disordered proteins and their functional parameters in causing Rheumatoid Arthritis (RA). METHODS: Cytoscape software helped in identifying molecular interaction networks. Intrinsically disordered proteins lack higher order structure and have functional advantages, but their dysregulation can cause several diseases. All the significant proteins responsible for RA were identified. On the basis of the data obtained, highly disordered proteins were selected. Further, MSA was done to find the similarity among the highly disordered proteins and their functional partners. To determine the most relevant functional partner( s)/interacting protein(s) out of large network, three filters were introduced in the methodology. RESULTS: The two filtered proteins, IBSP and FGF2, have common functions and also play a vital role in the pathways of RA. Thus, gives an in-depth knowledge of molecular mechanisms involved in Rheumatoid Arthritis and targeted therapeutics. CONCLUSION: The network analysis of these proteins has been explored using Cytoscape, and the proteins with favourable values of graph centrality parameters such as IBSP and FGF2 are identified. Interesting functional cross talk such as bio mineralization, boneremodelling, angiogenesis, cell differentiation, etc., of SPP1 with IBSP and FGF2 is found, which throws light into the fact that these two proteins play a vital role in the pathways of RA.

Classifying Integrated Signature Molecules in Macrophages of Rheumatoid Arthritis, Osteoarthritis, and Periodontal Disease: An Omics-Based Study.

Rheumatoid arthritis (RA), osteoarthritis (OA), and periodontal disease (PD) are chronic inflammatory diseases that are globally prevalent, and pose a public health concern. The search for a potential mechanism linking PD to RA and OA continues, as it could play a significant role in disease prevention and treatment. Recent studies have linked RA, OA, and PD to Porphyromonas gingivalis (PG), a periodontal bacterium, through a similar dysregulation in an inflammatory mechanism. This study aimed to identify potential gene signatures that could assist in early diagnosis as well as gain insight into the molecular mechanisms of these diseases. The expression data sets with the series IDs GSE97779, GSE123492, and GSE24897 for macrophages of RA, OA synovium, and PG stimulated macrophages (PG-SM), respectively, were retrieved and screened for differentially expressed genes (DEGs). The 72 common DEGs among RA, OA, and PG-SM were further subjected to gene-gene correlation analysis. A GeneMANIA interaction network of the 47 highly correlated DEGs comprises 53 nodes and 271 edges. Network centrality analysis identified 15 hub genes, 6 of which are DEGs (API5, ATE1, CCNG1, EHD1, RIN2, and STK39). Additionally, two significantly up-regulated non-hub genes (IER3 and RGS16) showed interactions with hub genes. Functional enrichment analysis of the genes showed that "apoptotic regulation" and "inflammasomes" were among the major pathways. These eight genes can serve as important signatures/targets, and provide new insights into the molecular mechanism of PG-induced RA, OA, and PD.

Porphyromonas gingivalis resistance and virulence: An integrated functional network analysis.

BACKGROUND: The gram-negative bacteria Porphyromonas gingivalis (PG) is the most prevalent cause of periodontal diseases and multidrug-resistant (MDR) infections. Periodontitis and MDR infections are severe due to PG's ability to efflux antimicrobial and virulence factors. This gives rise to colonisation, biofilm development, evasion, and modulation of the host defence system. Despite extensive studies on the MDR efflux pump in other pathogens, little is known about the efflux pump and its association with the virulence factor in PG. Prolonged infection of PG leads to complete loss of teeth and other systemic diseases. This necessitates the development of new therapeutic interventions to prevent and control MDR. OBJECTIVE: The study aims to identify the most indispensable proteins that regulate both resistance and virulence in PG, which could therefore be used as a target to fight against the MDR threat to antibiotics. METHODS: We have adopted a hierarchical network-based approach to construct a protein interaction network. Firstly, individual networks of four major efflux pump proteins and two virulence regulatory proteins were constructed, followed by integrating them into one. The relationship between proteins was investigated using a combination of centrality scores, k-core network decomposition, and functional annotation, to computationally identify the indispensable proteins. RESULTS: Our study identified four topologically significant genes, PG_0538, PG_0539, PG_0285, and PG_1797, as potential pharmacological targets. PG_0539 and PG_1797 were identified to have significant associations between the efflux pump and virulence genes. This type of underpinning research may help in narrowing the drug spectrum used for treating periodontal diseases, and may also be exploited to look into antibiotic resistance and pathogenicity in bacteria other than PG.