Evidence map›Paper›PMID 42395906›Full record

ArticleFrontiers in microbiology2026

A risk-gate mechanistic-ecological framework for assessing emergence potential of henipa-related viruses.

Wenpeng Tian, Hong Xiao, Yongxia Gao, Mingming Liu, Guangyu Qiu

Abstract read
In one paragraph

Article in Frontiers in microbiology, 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.

Wenpeng TianDepartment of Emergency, Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science, Xiangyang, China.
Hong XiaoNursing Department, Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science, Xiangyang, China.
Yongxia GaoDepartment of Emergency, Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science, Xiangyang, China.
Mingming LiuSchool of Basic Medicine, Hubei University of Arts and Science, Xiangyang, China.
Guangyu QiuDepartment of Emergency, Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science, Xiangyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Henipa-related viruses can cause severe disease following rare zoonotic introductions, yet spillover alone does not determine the likelihood of outbreak emergence. Here we propose a risk-gate mechanistic-ecological framework to assess emergence potential across henipa-related viruses. Using the well-characterized henipaviruses Nipah and Hendra together with the more recently described Langya and Mojiang viruses as comparative examples, we define a sequential pathway linking upstream exposure (Step 0) to host entry and tissue access (Gate 1), within-host replication and immune antagonism (Gate 2), and transmission amplification (Gate 3). By tagging the strength of available evidence and identifying gate-specific knowledge gaps, the framework distinguishes biological constraints from operational uncertainties including diagnostics, infection prevention and control (IPC), and response capacity. This evidence-tagged framework provides a practical One Health roadmap for comparing established and emerging henipa-related viral threats. We present it as a conceptual, review-oriented tool rather than a validated predictive model and outline how future retrospective outbreak analyses could test its utility.

Indexed as

Hendra virusLangya virusMojiang virusNipah virusOne Healthrisk-gate framework

Identifiers

PMID42395906
PMCPMC13323236

What OpenQuestion holds

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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.