Evidence map›Paper›PMID 42042776›Full record

ArticleVaccines2026

Inactivated

Xiang Cheng, Shaoqiong Huang, Zhidong Hu, Xiaoyong Fan

Abstract read
In one paragraph

Article in Vaccines, 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

4 authors.

Xiang ChengShanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai 200032, China.
Shaoqiong HuangShanghai Public Health Clinical Center, Fudan University, Shanghai 201508, China.
Zhidong HuShanghai Public Health Clinical Center, Fudan University, Shanghai 201508, China.ORCID 0000-0001-8490-4389
Xiaoyong FanShanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai 200032, China.ORCID 0000-0001-6654-3559

Funding

National Natural and Science Foundation of China 32394014National Natural and Science Foundation of China 32470998Prevention and Control of Emerging and Major Infectious Diseases-National Science and Technology Major Project 2025ZD01904000Prevention and Control of Emerging and Major Infectious Diseases-National Science and Technology Major Project 2025ZD01907500Shanghai Municipal Health Bureau 2022XD060Shanghai Municipal Health Bureau 2024ZZ1029Shanghai Municipal Science and Technology Major Project ZD2021CY001
6 · The paper itself

Abstract

backgroundInfections caused by multidrug-resistant bacteria and inadequate vaccine coverage against opportunistic pathogens highlight the need for interventions that broadly and durably enhance host defense beyond antigen-specific adaptive immunity. Trained immunity, driven by metabolic and epigenetic reprogramming of innate immune cells, has been predominantly characterized using Bacille Calmette-Guérin and β-glucan, whereas its induction by Gram-negative bacteria remains poorly defined. To address this gap, we aimed to determine whether heat-killed

methodsHK Kp-trained murine bone marrow-derived macrophages and HK Kp-immunized C57BL/6 mice were employed to interrogate functional, metabolic, and transcriptomic reprogramming in vitro, hematopoietic progenitor remodeling in vivo, and protective efficacy against systemic

resultsHK Kp-trained macrophages showed markedly enhanced IL-1β secretion across all restimulation conditions, stimulus-dependent amplification of TNF-α responses, increased phagocytosis, and improved intracellular control of

conclusionsInactivated

Indexed as

hematopoietic stem and progenitor cellsheterologous antibacterial protectionKlebsiella pneumoniaemetabolic reprogrammingtrained immunity

Identifiers

PMID42042776
PMCPMC13120435

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.