ArticleiMeta2025
MDIPID: Microbiota-drug interaction and disease phenotype interrelation database.
Article in iMeta, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed.
- MDPD reveals specific microbial signatures in human pulmonary diseases.Briefings in bioinformatics · 2026Article
- Article
- Gut microbiota-derived metabolites modulate Treg/Th17 balance: novel therapeutic targets in autoimmune diseases.Frontiers in immunology · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The intricate bidirectional relationships among microbiota, microbial proteins, drugs, and diseases are essential for advancing precision medicine and minimizing adverse drug reactions. However, there are currently no data resources that comprehensively describe these valuable interactions. Therefore, the Microbiota-Drug Interaction and Disease Phenotype Interrelation Database (MDIPID) database was developed in this study. MDIPID is distinctive in its ability to elucidate the complex interactions among microbiota, microbial proteins, drugs/substances, and disease phenotypes, thereby providing a comprehensive interconnected network that facilitates the identification of microbial therapy targets and advances personalized medicine. This comprehensive resource is expected to become a popular repository for researchers aiming to identify microbial therapeutic targets, predict drug efficacy, and develop new therapies, thereby facilitating the advancement of personalized medicine. MDIPID can be accessed free without any login requirement at: https://idrblab.org/mdipid/.
Identifiers
What OpenQuestion 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 OpenQuestion graph.