Evidence map›Paper›PMID 42423370›Full record

ArticleDatabase : the journal of biological databases and curation2026

GIDISdb: a gene expression database for exploring human immune responses in infectious diseases.

Yu Liao, Zhen-Lin Tan, Wen-Kang Shen, Wei Li, Qian Lei, An-Yuan Guo

Abstract read
In one paragraph

Article in Database : the journal of biological databases and curation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from 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.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Yu LiaoDepartment of Laboratory Medicine, West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, 610041, China.ORCID 0009-0009-7947-2716
Zhen-Lin TanDepartment of Laboratory Medicine, West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, 610041, China.
Wen-Kang ShenDepartment of Laboratory Medicine, West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, 610041, China.ORCID 0000-0002-9168-4465
Wei LiHubei Key Laboratory of Bioinformatics and Molecular-Imaging, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, Hubei, China.
Qian LeiDepartment of Laboratory Medicine, West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, 610041, China.
An-Yuan GuoDepartment of Laboratory Medicine, West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, 610041, China.

Funding

National Natural Science Foundation of China 92574106Sichuan Provincial Natural Science Foundation 2026NSFSC0495West China Hospital of Sichuan University ZYYC23007
6 · The paper itself

Abstract

Decoding human immune responses to infectious diseases through transcriptomic analysis is crucial for understanding disease progression and guiding therapeutic development. The absence of a comprehensive database integrating infectious disease transcriptomes with immune-focused analyses limits such efforts. Here, we developed the GIDISdb (a Gene expression database for Infectious DISeases) to address this. Distinct from existing resources that focus on single pathogen types or lack standardized analytical workflows, GIDISdb uniquely integrates cross-disease transcriptomic data with an immune-centric analytical framework. GIDISdb integrates 3949 whole-blood RNA-seq samples from 51 projects across 15 types of bacterial, viral, and fungal infections (e.g. AIDS, COVID-19, and tuberculosis). By leveraging this extensive collection, GIDISdb enables detailed transcriptome analysis, including differential expression analysis and gene set enrichment analysis, for various diseases and their subgroups. Beyond traditional transcriptome analysis, it integrates immune-specific annotations from ImmPort, Reactome, and gene ontology, encompassing genes and pathways related to immune function, as well as estimated immune cell abundance. In a case study comparing latent tuberculosis (LTBI), active tuberculosis (TB), and healthy controls, LTBI showed upregulated microbial defense genes and downregulated inflammatory genes relative to controls, along with reduced IFN-γ signaling compared to active TB. Immune-cell profiling revealed partially restored dendritic cells and expanded regulatory T cells, indicating a balanced immunoregulatory network. In summary, GIDISdb is a comprehensive, immune-centric platform for investigating gene expression in infection immunology, poised to accelerate the discovery of infection-specific immune mechanisms and biomarkers. The GIDISdb is accessible at https://guolab.wchscu.cn/GIDISdb/.

Indexed as

Communicable DiseasesDatabases, GeneticGene Expression ProfilingTranscriptomeBiocurationHumans

Identifiers

PMID42423370
PMCPMC13347401

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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.