ReviewFrontiers in genetics2021
Network Biology Approaches to Achieve Precision Medicine in Inflammatory Bowel Disease.
Review in Frontiers in genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
13 citing papers in PubMed.
- Biogenic Metal Nanoparticles from Indian Flora as Programmable Bio-Interfaces: From Phytochemical Coronas to Precision Nanomedicine.International journal of molecular sciences · 2026Review
- DataXflowGen for GenAI-driven model generation.Scientific reports · 2026Article
- Resveratrol Attenuates Heat Stress-Induced Luteal Injury Through Modulation of Oxidative Stress and Cytokine-Chemokine Inflammatory Networks in Pregnant Mice.Antioxidants (Basel, Switzerland) · 2026Article
- From AI-AssistedPharmaceuticals (Basel, Switzerland) · 2025Review
- The Role of the Gut Microbiome in Inflammatory Bowel Disease: The Middle East Perspective.Journal of personalized medicine · 2024Article
- Omics and Multi-Omics in IBD: No Integration, No Breakthroughs.International journal of molecular sciences · 2023Review
- Systems Biology and Cytokines Potential Role in Lung Cancer Immunotherapy Targeting Autophagic Axis.Biomedicines · 2023Review
- Integration and implementation of precision medicine in the multifaceted inflammatory bowel disease.World journal of gastroenterology · 2023Review
- A systems genomics approach to uncover patient-specific pathogenic pathways and proteins in ulcerative colitis.Nature communications · 2022Article
- An overview of technologies for MS-based proteomics-centric multi-omics.Expert review of proteomics · 2022Article
- Article
- Research hotspot and trend analysis in the diagnosis of inflammatory bowel disease: A machine learning bibliometric analysis from 2012 to 2021.Frontiers in immunology · 2022Article
- AI-Based Computational Methods in Early Drug Discovery and Post Market Drug Assessment: A Survey.IEEE transactions on computational biology and bioinformaticsReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Inflammatory bowel disease (IBD) is a chronic immune-mediated condition arising due to complex interactions between multiple genetic and environmental factors. Despite recent advances, the pathogenesis of the condition is not fully understood and patients still experience suboptimal clinical outcomes. Over the past few years, investigators are increasingly capturing multi-omics data from patient cohorts to better characterise the disease. However, reaching clinically translatable endpoints from these complex multi-omics datasets is an arduous task. Network biology, a branch of systems biology that utilises mathematical graph theory to represent, integrate and analyse biological data through networks, will be key to addressing this challenge. In this narrative review, we provide an overview of various types of network biology approaches that have been utilised in IBD including protein-protein interaction networks, metabolic networks, gene regulatory networks and gene co-expression networks. We also include examples of multi-layered networks that have combined various network types to gain deeper insights into IBD pathogenesis. Finally, we discuss the need to incorporate other data sources including metabolomic, histopathological, and high-quality clinical meta-data. Together with more robust network data integration and analysis frameworks, such efforts have the potential to realise the key goal of precision medicine in IBD.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.