Delineating markers of disease-disease interaction: a systematic methodology and its application to multiple diabetes-helminth cohorts
Our results quantified the extent ofhelminth-diabetes DDI exhibited by various tested cytokine markers, and thereby delineatedtheir role in the pathogenesis of both diseases. These results are promising and encourage theapplication of our DDI methodology (https://github.com/BIRDSgroup/DDI) to dissect theinteraction between any two diseases, provided multi-cohort measurements of markers areavailable.
Authors
- Philge Philip (ORCID: https://orcid.org/0000-0001-8752-0794)
- Subash Babu (ORCID: https://orcid.org/0000-0001-9783-8042)
- Manikandan Narayanan (ORCID: https://orcid.org/0000-0002-8490-4087)
- N. Subramanian (ORCID: https://orcid.org/0000-0003-0355-1206)
- Nathella Pavan Kumar (ORCID: https://orcid.org/0000-0003-2969-2621)
- Anuradha Rajamanickam (ORCID: https://orcid.org/0000-0002-8143-5502)
Institutions
- Indian Institute of Technology Madras (IN)
- International Centers for Excellence in Research (IN)
- Excel Life Sciences (India) (IN)
- National Institute of Allergy and Infectious Diseases (US)
- National Institute of Research in Tuberculosis (IN)
Publication Details
- Journal
- BMC Bioinformatics
- Published
- 2025-10-31
- DOI
- https://doi.org/10.1186/s12859-025-06226-w
- Primary Topic
- Parasites and Host Interactions
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Wellcome Trust
- Department of Biotechnology, Ministry of Science and Technology, India