Evidence map›Paper›PMID 41785052›Full record

ArticleBriefings in bioinformatics2026

MDPD reveals specific microbial signatures in human pulmonary diseases.

Paramita Roy, Dibakar Roy, Sudipto Bhattacharjee, Abhirupa Ghosh, Sudipto Saha

Abstract read
In one paragraph

Article in Briefings in bioinformatics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Paramita RoyDepartment of Biological Sciences, Bose Institute, EN-80, Sector-V, Bidhan Nagar, Kolkata 700091, West Bengal, India.
Dibakar RoyDepartment of Biological Sciences, Bose Institute, EN-80, Sector-V, Bidhan Nagar, Kolkata 700091, West Bengal, India.
Sudipto BhattacharjeeDepartment of Computer Science and Engineering, University of Calcutta, JD-2, Sector-III, Salt Lake, Kolkata-700106, India.
Abhirupa GhoshDepartment of Biological Sciences, Bose Institute, EN-80, Sector-V, Bidhan Nagar, Kolkata 700091, West Bengal, India.
Sudipto SahaDepartment of Biological Sciences, Bose Institute, EN-80, Sector-V, Bidhan Nagar, Kolkata 700091, West Bengal, India.ORCID 0000-0001-9433-8894

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pulmonary diseases are becoming a serious threat worldwide, and enormous data from different human microbiomes have been generated to understand these complex diseases. Here, we introduce Microbiome Database of Pulmonary Diseases (MDPD), an open-access, comprehensive systemic catalog of pulmonary diseases by manually curating global studies from 2012 to 2024 (13 years). We have compiled 59 362 runs from 430 BioProjects, encompassing data from 10 body sites related to 19 pulmonary diseases and healthy groups covering 278 distinct sub-groups. MDPD enables users to analyze each BioProject and customize analysis with multiple BioProjects to identify taxonomic profiles and disease group/sub-group specific microbial signatures. The re-analyzed intermediate Biological Observation Matrix files are provided for each BioProject for the accessibility of users for further applications, such as machine learning-based classification. Identified microbes (bacteria, fungi, viruses) in MDPD are annotated with several attributes, providing further insights into their disease-causing potential and specificity to certain diseases and body sites. MDPD is freely available at: https://bicresources.jcbose.ac.in/ssaha4/mdpd/.

Indexed as

Databases, FactualLung DiseasesMicrobiotaBacteriaHumansBIOM filesdatabasemetagenomicsmicrobial signaturespulmonary diseases

Identifiers

PMID41785052
PMCPMC12962063

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.