Evidence map›Paper›PMID 42258627›Full record

ArticleHuman vaccines & immunotherapeutics2026

Development of a pandemic H5N1 influenza vaccine using MDCK suspension cells: A scalable and efficient production platform.

Shaobo Zhang, Meihao Wang, Dongwu Jin, Jiayou Zhang, Jiamin Wang, Zhongren Ma, Jinliang Yang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Human vaccines & immunotherapeutics, 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.

Shaobo ZhangDepartment of Biotherapy, Cancer Center, State Key Laboratory of Biotherapy/Collaborative Innovation Center for Biotherapy, West China Hospital, Sichuan University, Chengdu, China.
Meihao WangR&D Department, Lanzhou Bailing Biotechnology Co., Ltd., Lanzhou, China.
Dongwu JinR&D Department, Lanzhou Bailing Biotechnology Co., Ltd., Lanzhou, China.
Jiayou ZhangViral Vaccines Research and Development Department 2, Wuhan Institute of Biological Products Co., LTD, Wuhan, China.
Jiamin WangDepartment of Biotherapy, Cancer Center, State Key Laboratory of Biotherapy/Collaborative Innovation Center for Biotherapy, West China Hospital, Sichuan University, Chengdu, China.
Zhongren MaDepartment of Biotherapy, Cancer Center, State Key Laboratory of Biotherapy/Collaborative Innovation Center for Biotherapy, West China Hospital, Sichuan University, Chengdu, China.
Jinliang YangDepartment of Biotherapy, Cancer Center, State Key Laboratory of Biotherapy/Collaborative Innovation Center for Biotherapy, West China Hospital, Sichuan University, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The persistent threat of H5N1 avian influenza pandemics necessitates the development of rapid and scalable vaccine manufacturing platforms as alternatives to traditional egg-based systems. We established a complete process for manufacturing an inactivated H5N1 vaccine using serum-free MDCK suspension cells, incorporating cell-line screening, systematic optimization of infection parameters, and scale-up in a bioreactor. High-titer virus propagation (1:1024 HA titer; 10.07 log

Indexed as

Influenza A Virus, H5N1 SubtypeInfluenza VaccinesTechnology, PharmaceuticalAnimalsAntibodies, ViralBioreactorsDogsMadin Darby Canine Kidney CellsVaccines, InactivatedVirus CultivationAntibodies, ViralInfluenza VaccinesVaccines, InactivatedH5N1immunogenicityinfluenza vaccineMDCK suspension cellsprocess optimizationvirus purification

Identifiers

PMID42258627
PMCPMC13248904

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.