Evidence map›Paper›PMID 41898418›Full record

ArticleInternational journal of molecular sciences2026

A Rapid Active-Latent-Relapse Murine Model of Tuberculosis Based Blood Transcriptional Signature That Distinguishes Disease Stages.

Haifeng Li, Junfei Wang, Yu Wang, Fan Liu, Jun Tang, Mengmeng Sun, Lingjun Zhan

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of molecular sciences, 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

7 authors.

Haifeng LiInstitute of Laboratory Animal Science, CAMS & PUMC, Beijing Key Laboratory for Animal Models of Emerging and Remerging Infectious Diseases, Chinese Academy of Medical Sciences and Comparative Medicine Center, Peking Union Medical College, Beijing 100021, China.
Junfei WangInstitute of Laboratory Animal Science, CAMS & PUMC, Beijing Key Laboratory for Animal Models of Emerging and Remerging Infectious Diseases, Chinese Academy of Medical Sciences and Comparative Medicine Center, Peking Union Medical College, Beijing 100021, China.
Yu WangInstitute of Laboratory Animal Science, CAMS & PUMC, Beijing Key Laboratory for Animal Models of Emerging and Remerging Infectious Diseases, Chinese Academy of Medical Sciences and Comparative Medicine Center, Peking Union Medical College, Beijing 100021, China.
Fan LiuInstitute of Laboratory Animal Science, CAMS & PUMC, Beijing Key Laboratory for Animal Models of Emerging and Remerging Infectious Diseases, Chinese Academy of Medical Sciences and Comparative Medicine Center, Peking Union Medical College, Beijing 100021, China.
Jun TangInstitute of Laboratory Animal Science, CAMS & PUMC, Beijing Key Laboratory for Animal Models of Emerging and Remerging Infectious Diseases, Chinese Academy of Medical Sciences and Comparative Medicine Center, Peking Union Medical College, Beijing 100021, China.
Mengmeng SunInstitute of Laboratory Animal Science, CAMS & PUMC, Beijing Key Laboratory for Animal Models of Emerging and Remerging Infectious Diseases, Chinese Academy of Medical Sciences and Comparative Medicine Center, Peking Union Medical College, Beijing 100021, China.
Lingjun ZhanInstitute of Laboratory Animal Science, CAMS & PUMC, Beijing Key Laboratory for Animal Models of Emerging and Remerging Infectious Diseases, Chinese Academy of Medical Sciences and Comparative Medicine Center, Peking Union Medical College, Beijing 100021, China.ORCID 0000-0002-4486-9424

Funding

Prevention and Control of Emerging and Major Infectious Diseas-es-National Science and Technology Major Project；CAMS Innovation Fund for Medical Sciences 2025ZD01900700；2021-I2M-1-037
6 · The paper itself

Abstract

The lack of reliable diagnostic tools and relapse monitoring for latent tuberculosis infection (LTBI) constitutes a major obstacle to global tuberculosis (TB) control. This highlights an urgent need for robust animal models and predictive biomarkers. To address this, we report the successful establishment of a rapid murine model of recapitulating the active, latent, and relapse phases of TB within a compressed ten-week timeframe-hence termed the rapid multi-stage TB murine model. In this model, mice were first intravenously infected with

Indexed as

Latent TuberculosisMycobacterium tuberculosisTranscriptomeTuberculosisAnimalsAntitubercular AgentsBiomarkersDisease Models, AnimalDisease ProgressionFemaleGene Expression ProfilingIsoniazidMiceRecurrenceAntitubercular AgentsBiomarkersIsoniazidactive–latent–relapse murine tuberculosis modellncRNA sequencingMycobacterium tuberculosistranscriptional signature

Identifiers

PMID41898418
PMCPMC13027359

What OpenQuestion holds

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LicenceCC BY
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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.