Evidence map›Paper›PMID 41767948›Full record

ReviewmLife2026

Exploring microorganism-host interactions: Emerging organoid models and analytical approaches.

Yue Shi, Min Xu, Yanhong Huang, Jing Qu, Shumin Liao, Yingzi Liu, Liang Li

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in mLife, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

7 authors.

Yue ShiJoint Laboratory of Guangdong-Hong Kong Universities for Vascular Homeostasis and Diseases, Department of Pharmacology School of Medicine, Southern University of Science and Technology Shenzhen China.
Min XuJoint Laboratory of Guangdong-Hong Kong Universities for Vascular Homeostasis and Diseases, Department of Pharmacology School of Medicine, Southern University of Science and Technology Shenzhen China.
Yanhong HuangJoint Laboratory of Guangdong-Hong Kong Universities for Vascular Homeostasis and Diseases, Department of Pharmacology School of Medicine, Southern University of Science and Technology Shenzhen China.
Jing QuDepartment of Pathogen Biology Shenzhen Center for Disease Control and Prevention Shenzhen China.
Shumin LiaoJoint Laboratory of Guangdong-Hong Kong Universities for Vascular Homeostasis and Diseases, Department of Pharmacology School of Medicine, Southern University of Science and Technology Shenzhen China.
Yingzi LiuIntervention and Cell Therapy Center, Peking University Shenzhen Hospital Shenzhen China.
Liang LiJoint Laboratory of Guangdong-Hong Kong Universities for Vascular Homeostasis and Diseases, Department of Pharmacology School of Medicine, Southern University of Science and Technology Shenzhen China.ORCID https://orcid.org/0000-0003-1001-7837

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microorganisms play a vital role in human health through their interactions with the body. Studies of host-microbe mechanisms and interactions are crucial for advancing health management. Recently, the organoid-based models have provided new platforms in this field. Derived from human tissues, these models offer several advantages over traditional systems and, when combined with advanced analytical techniques, they enable deeper insights into host-microbe interactions. In this review, we summarize the different models and techniques used, with a particular focus on the newly developed organoid models. We discuss how these models can be effectively utilized in microorganism-host interaction studies and address their associated limitations.

Indexed as

disease modelinghost–microbe interactioninfectious diseasesorganoidsorgan‐on‐a‐chip

Identifiers

PMID41767948
PMCPMC12948489

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.