Evidence map›Paper›PMID 39340038›Full record

ArticleVaccines2024

A Recombinant Mosaic HAs Influenza Vaccine Elicits Broad-Spectrum Immune Response and Protection of Influenza a Viruses.

Xuejie Liu, Chuming Luo, Zhuolin Yang, Tianyi Zhao, Lifang Yuan, Qian Xie, Qijun Liao, Xinzhong Liao, Liangliang Wang, Jianhui Yuan and 5 more

Abstract read
In one paragraph

Article in Vaccines, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
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

15 authors.

Xuejie LiuSchool of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, China.ORCID 0000-0002-5213-8672
Chuming LuoSchool of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, China.
Zhuolin YangSchool of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, China.
Tianyi ZhaoSchool of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, China.
Lifang YuanSchool of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, China.
Qian XieSchool of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, China.ORCID 0000-0002-8290-2483
Qijun LiaoSchool of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, China.ORCID 0000-0001-7517-9867
Xinzhong LiaoSchool of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, China.
Liangliang WangNational Institutes for Food and Drug Control, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China.
Jianhui YuanShenzhen Nanshan Center for Disease Control and Prevention, Shenzhen 518054, China.
Nan WuShenzhen Nanshan Center for Disease Control and Prevention, Shenzhen 518054, China.
Caijun SunSchool of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, China.ORCID 0000-0002-2000-7053
Huacheng YanCenter for Disease Control and Prevention of Southern Military Theatre, Guangzhou 510610, China.
Huanle LuoSchool of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, China.ORCID 0000-0002-0367-6888
Yuelong ShuSchool of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, China.ORCID 0000-0001-9279-0916

Funding

CAMS Innovation fund for Medical Sciences 2022-I2M-1-021High-Level Project of Medicine in Nanshan, Shenzhen; Sanming Project of Medicine in Shenzhen SZSM202103008National Key Research and Development Program of China 2021YFC2300100; 2021YFC2300102National Natural Science Foundation of China 81961128002; 82041043; 81525017Science and Technology Planning Project of Guangdong Province, China 2021B1212040017Shenzhen Science and Technology Program KQTD20180411143323605; JSGG20200225152008136; GXWD20201231165807008; JCYJ20200109142438111; KQTD20200820145-822023; 20200825113322001
6 · The paper itself

Abstract

The annual co-circulation of two influenza A subtypes, H1N1 and H3N2, viruses in humans poses significant public health threats worldwide. However, the continuous antigenic drift and shift of influenza viruses limited the effectiveness of current seasonal influenza vaccines, necessitating the development of new vaccines against both seasonal and pandemic viruses. One potential solution to this challenge is to improve inactivated vaccines by including multiple T-cell epitopes. In this study, we designed stabilized trimeric recombinant mosaic HA proteins named HAm, which contain the most potential HA T-cell epitopes of seasonal influenza A virus. We further evaluated the antigenicity, hemagglutinin activity, and structural integrity of HAm and compared its immunogenicity and efficacy to a commercial quadrivalent inactivated influenza vaccine (QIV) in mice. Our results demonstrated that the HAm vaccine was able to induce broadly cross-reactive antibodies and T-cell responses against homologous, heterologous, and heterosubtypic influenza-naive mice. Additionally, the HAm antigens outperformed QIV vaccine antigens by eliciting protective antibodies against panels of antigenically drifted influenza vaccine strains from 2009 to 2024 and protecting against ancestral viruses' lethal challenge. These results suggest that the HAm vaccine is a promising potential candidate for future universal seasonal and pandemic influenza vaccine development.

Indexed as

hemagglutinininfluenzamosaicrecombinant proteinuniversal vaccine

Identifiers

PMID39340038
PMCPMC11435869

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.