SynthesisPLoS neglected tropical diseases2016
Comprehensive Transcriptome Meta-analysis to Characterize Host Immune Responses in Helminth Infections.
Synthesis in PLoS neglected tropical diseases, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 4 of them syntheses that pooled it.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
16 citing papers in PubMed, 4 syntheses or guidelines pooled it, 30 citations in OpenAlex.
- Transcriptome meta-analysis and validation to discovery of hub genes and pathways in focal and segmental glomerulosclerosis.BMC nephrology · 2024Pooled it
- Meta-analysis of Transcriptomic Data from Lung Autopsy and Cellular Models of SARS-CoV-2 Infection.Biochemical genetics · 2024Pooled it
- The composition of lung microbiome in lung cancer: a systematic review and meta-analysis.BMC microbiology · 2021Pooled it
- Multi-omic meta-analysis identifies functional signatures of airway microbiome in chronic obstructive pulmonary disease.The ISME journal · 2020Pooled it
- Increased metallopeptidase activity, compromised endothelial integrity and impaired pathogen recognition revealed by transcriptomics inCurrent research in parasitology & vector-borne diseases · 2026Article
- Hepatic transcriptomic analysis reveals differential regulation of metabolic and immune pathways in three strains of chickens with distinct growth rates exposed to mixed parasite infections.Veterinary research · 2024Article
- The Biological and Clinical Aspects of a Latent Tuberculosis Infection.Tropical medicine and infectious disease · 2022Review
- Trickle infection withFrontiers in immunology · 2022Article
- Transcriptomic meta-analysis reveals unannotated long non-coding RNAs related to the immune response in sheep.Frontiers in genetics · 2022Article
- Modulation of the mTOR pathway plays a central role in dendritic cell functions after Echinococcus granulosus antigen recognition.Scientific reports · 2021Article
- Weighted Gene Co-Expression Network Analysis Identifies Key Modules and Hub Genes Associated with Mycobacterial Infection of Human Macrophages.Antibiotics (Basel, Switzerland) · 2021Article
- Comprehensive Meta-Analysis of COVID-19 Global Metabolomics Datasets.Metabolites · 2021Article
- Integrated Microarray and RNAseq Transcriptomic Analysis of Retinal Pigment Epithelium/Choroid in Age-Related Macular Degeneration.Frontiers in cell and developmental biology · 2020Article
- OmicsNet: a web-based tool for creation and visual analysis of biological networks in 3D space.Nucleic acids research · 2018Article
- Meta-analysis of human gene expression in response to Mycobacterium tuberculosis infection reveals potential therapeutic targets.BMC systems biology · 2018Article
- Tolerogenic Transcriptional Signatures of Steady-State and Pathogen-Induced Dendritic Cells.Frontiers in immunology · 2018Review
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 at 1 institution in 1 country.
Funding
Abstract
Helminth infections affect more than a third of the world's population. Despite very broad phylogenetic differences among helminth parasite species, a systemic Th2 host immune response is typically associated with long-term helminth infections, also known as the "helminth effect". Many investigations have been carried out to study host gene expression profiles during helminth infections. The objective of this study is to determine if there is a common transcriptomic signature characteristic of the helminth effect across multiple helminth species and tissue types. To this end, we performed a comprehensive meta-analysis of publicly available gene expression datasets. After data processing and adjusting for study-specific effects, we identified ~700 differentially expressed genes that are changed consistently during helminth infections. Functional enrichment analyses indicate that upregulated genes are predominantly involved in various immune functions, including immunomodulation, immune signaling, inflammation, pathogen recognition and antigen presentation. Down-regulated genes are mainly involved in metabolic process, with only a few of them are involved in immune regulation. This common immune gene signature confirms previous observations and indicates that the helminth effect is robust across different parasite species as well as host tissue types. To the best of our knowledge, this study is the first comprehensive meta-analysis of host transcriptome profiles during helminth infections.
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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.