Amira Mahjabeen’s research while affiliated with Daffodil International University and other places

What is this page?


This page lists works of an author who doesn't have a ResearchGate profile or hasn't added the works to their profile yet. It is automatically generated from public (personal) data to further our legitimate goal of comprehensive and accurate scientific recordkeeping. If you are this author and want this page removed, please let us know.

Publications (1)


The pie chart shows the genes of eight diseases in different segments
The numerical value beside the name of the disease represents the number of genes and their corresponding percentage.
Common genes among the diseases
Venn diagram shows the shared genes across PTB and NCDs.
Generic PPIs network for the eight diseases
Orange seeds represent common genes, and edges indicate the connections between the proteins of (a) subnetwork1 and (b) subnetwork2.
Hub genes based on degree value
The highlighted six genes (TNF, NFKB1, HMGB1, CXCL8, NLRP3) are the hub genes among the nine genes from the generic PPI network, connected with protein (blue). The hub genes were identified based on their degree value, where the degree value is greater than 10.
Tissue-specific PPI network
The highlighted pink seed denotes the common genes, and the green color indicates the protein that is physically connected with the common genes in (a) subnetowrk1, (b) subnetwork2, (c) subnetwork3, (d) subnetwork4.

+21

Genetic insights into the connection between pulmonary TB and non-communicable diseases: An integrated analysis of shared genes and potential treatment targets
  • Article
  • Full-text available

October 2024

·

91 Reads

Amira Mahjabeen

·

·

·

[...]

·

M. Shamim Kaiser

Background Pulmonary Tuberculosis (PTB) is a significant global health issue due to its high incidence, drug resistance, contagious nature, and impact on people with compromised immune systems. As mentioned by the World Health Organization (WHO), TB is responsible for more global fatalities than any other infectious illness. On the other side, WHO also claims that noncommunicable diseases (NCDs) kill 41 million people yearly worldwide. In this regard, several studies suggest that PTB and NCDs are linked in various ways and that people with PTB are more likely to acquire NCDs. At the same time, NCDs can increase susceptibility to active TB infection. Furthermore, because of potential drug interactions and therapeutic challenges, treating individuals with both PTB and NCDs can be difficult. This study focuses on seven NCDs (lung cancer (LC), diabetes mellitus (DM), Parkinson’s disease (PD), silicosis (SI), chronic kidney disease (CKD), cardiovascular disease (CVD), and rheumatoid arthritis (RA)) and rigorously presents the genetic relationship with PTB regarding shared genes and outlines possible treatment plans. Objectives BlueThis study aims to identify the drug components that can regulate abnormal gene expression in NCDs. The study will reveal hub genes, potential biomarkers, and drug components associated with hub genes through statistical measures. This will contribute to targeted therapeutic interventions. Methods Numerous investigations, including protein-protein interaction (PPI), gene regulatory network (GRN), enrichment analysis, physical interaction, and protein-chemical interaction, have been carried out to demonstrate the genetic correlation between PTB and NCDs. During the study, nine shared genes such as TNF, IL10, NLRP3, IL18, IFNG, HMGB1, CXCL8, IL17A, and NFKB1 were discovered between TB and the above-mentioned NCDs, and five hub genes (NFKB1, TNF, CXCL8, NLRP3, and IL10) were selected based on degree values. Results and conclusion In this study, we found that all of the hub genes are linked with the 10 drug components, and it was observed that aspirin CTD 00005447 was mostly associated with all the other hub genes. This bio-informatics study may help researchers better understand the cause of PTB and its relationship with NCDs, and eventually, this can lead to exploring effective treatment plans.

Download