ReviewNature reviews. Genetics2020
A systems approach to infectious disease.
Review in Nature reviews. Genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
64 citing papers in PubMed, 109 citations in OpenAlex.
- Quorum-sensing, microbiome interactions, and emerging artificial intelligence-assisted anti-virulence strategies in Salmonella Typhi: a critical review of translational opportunities and challenges.Archives of microbiology · 2026Review
- Article
- Genetic and non-genetic factors distinctly shape the variation of the immune response in cattle.Nature communications · 2026Article
- Editorial: Omics Sciences in microbiology and infectious diseases.Frontiers in cellular and infection microbiology · 2026Article
- PPARγ mediated enhanced lipid biogenesis fuelseLife · 2025Article
- ComparingGut microbes · 2025Article
- Integrative multi-omics analysisiScience · 2025Article
- Specimen Inactivation Methods for Proteomics─Comparisons of Irradiation, Chemical, and Heat Treatments on Downstream Serum Analyses.Journal of proteome research · 2025Article
- A Call for Action: Lessons Learned From a Pilot to Share a Complex, Linked COVID-19 Cohort Dataset for Open Science.JMIR public health and surveillance · 2025Article
- Plants used for the management of venereal diseases in sub-Saharan Africa: a systematic review and critical assessment of their research status.Tropical medicine and health · 2024Review
- Respiratory Syncytial Virus Vaccine Design Using Structure-Based Machine-Learning Models.Viruses · 2024Article
- Integrated multi-omics analysis reveals liver metabolic reprogramming by fish iridovirus and antiviral function of alpha-linolenic acid.Zoological research · 2024Article
- Development and psychometric evaluation of nurse's intention to care for patients with infectious disease scale: an exploratory sequential mixed method study.BMC nursing · 2024Article
- Synergistic Effect of Silver Nanoparticles with Antibiotics for Eradication of Pathogenic Biofilms.Current pharmaceutical biotechnology · 2024Article
- Competitive inhibition and mutualistic growth in co-infections: decipheringISME communications · 2024Article
- Proteomic and genetic analyses of influenza A viruses identify pan-viral host targets.Nature communications · 2023Article
- Next-generation proteomics for quantitative Jumbophage-bacteria interaction mapping.Nature communications · 2023Article
- Prioritizing non-communicable diseases in the post-pandemic era based on a comprehensive analysis of the GBD 2019 from 1990 to 2019.Scientific reports · 2023Article
- Integrative systems biology characterizes immune-mediated neurodevelopmental changes in murine Zika virus microcephaly.iScience · 2023Article
- Plumbing mysterious RNAs in "dark genome" for the conquest of human diseases.Molecular therapy : the journal of the American Society of Gene Therapy · 2023Review
4 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 1 country.
Funding
Abstract
Ongoing social, political and ecological changes in the 21st century have placed more people at risk of life-threatening acute and chronic infections than ever before. The development of new diagnostic, prophylactic, therapeutic and curative strategies is critical to address this burden but is predicated on a detailed understanding of the immensely complex relationship between pathogens and their hosts. Traditional, reductionist approaches to investigate this dynamic often lack the scale and/or scope to faithfully model the dual and co-dependent nature of this relationship, limiting the success of translational efforts. With recent advances in large-scale, quantitative omics methods as well as in integrative analytical strategies, systems biology approaches for the study of infectious disease are quickly forming a new paradigm for how we understand and model host-pathogen relationships for translational applications. Here, we delineate a framework for a systems biology approach to infectious disease in three parts: discovery - the design, collection and analysis of omics data; representation - the iterative modelling, integration and visualization of complex data sets; and application - the interpretation and hypothesis-based inquiry towards translational outcomes.
Indexed as
Identifiers
What Socratic holds
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 Socratic graph.