ArticleCommunications medicine2025
A survey of pathogenic involvement in non-communicable human diseases.
Article in Communications medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.
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
3 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Sero-epidemiological studies of pathogen burden: A scoping review.Wellcome open research · 2026Pooled it
- Early-life infections and life course health and disease in the EU child cohort network.European journal of epidemiology · 2026Article
- DNA methylation and gene expression signatures for common childhood infections.Clinical epigenetics · 2026Article
Corrections and comments
- Update of
Authors and funding
10 authors.
Funding
Abstract
backgroundMany relationships between pathogens and human disease are well-established. However, only a small fraction involve diseases considered non-communicable (NCDs). In this study, we sought to leverage the vast amount of newly available electronic health record data to identify potentially novel pathogen-NCD associations and find additional evidence supporting known associations.
methodsWe leverage data from The UK Biobank and TriNetX to perform a systematic survey across 20 pathogens and 426 diseases, primarily NCDs. To this end, we assess the association between disease status and infection history proxies using a logistic regression-based statistical approach.
resultsOur approach identifies 206 pathogen-disease pairs that replicate in both cohorts. We replicate many established relationships, including Helicobacter pylori, with several gastroenterological diseases and connections between Epstein-Barr virus and both multiple sclerosis and lupus. Overall, our approach identifies evidence of association for 15 pathogens and 96 distinct diseases, including a currently controversial link between human cytomegalovirus (CMV) and ulcerative colitis (UC). We validate the CMV-UC connection through two orthogonal analyses, revealing increased CMV gene expression in UC patients and enrichment for UC genetic risk signal near human genes that have altered expression upon CMV infection.
conclusionsCollectively, these results form a foundation for future investigations into mechanistic roles played by pathogens in the processes underlying NCDs. All results are easily accessible on our website, https://tf.cchmc.org/pathogen-disease .
Identifiers
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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.