Evidence map›Paper›PMID 36171388›Full record

ArticleScientific reports2022

The evolutionary footprint of influenza A subtype H3N2 strains in Bangladesh: implication of vaccine strain selection.

Sezanur Rahman, Mehedi Hasan, Md Shaheen Alam, K M Main Uddin, Sayra Moni, Mustafizur Rahman

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

6 authors.

Sezanur RahmanVirology Laboratory, Infectious Diseases Division, icddr,b, Mohakhali, 68 Shaheed Tajuddin Ahmed Sarani, Dhaka, 1212, Bangladesh.ORCID 0000-0002-0092-9261
Mehedi HasanVirology Laboratory, Infectious Diseases Division, icddr,b, Mohakhali, 68 Shaheed Tajuddin Ahmed Sarani, Dhaka, 1212, Bangladesh.
Md Shaheen AlamVirology Laboratory, Infectious Diseases Division, icddr,b, Mohakhali, 68 Shaheed Tajuddin Ahmed Sarani, Dhaka, 1212, Bangladesh.
K M Main UddinVirology Laboratory, Infectious Diseases Division, icddr,b, Mohakhali, 68 Shaheed Tajuddin Ahmed Sarani, Dhaka, 1212, Bangladesh.
Sayra MoniVirology Laboratory, Infectious Diseases Division, icddr,b, Mohakhali, 68 Shaheed Tajuddin Ahmed Sarani, Dhaka, 1212, Bangladesh.
Mustafizur RahmanVirology Laboratory, Infectious Diseases Division, icddr,b, Mohakhali, 68 Shaheed Tajuddin Ahmed Sarani, Dhaka, 1212, Bangladesh. mustafizur@icddrb.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In February each year, World Health Organization (WHO) recommends candidate vaccine viruses for the forthcoming northern hemisphere (NH) season; however, the influenza season in the temperate zone of NH begins in October. During egg- or cell culture-propagation, the vaccine viruses become too old to confer the highest match with the latest strains, impacting vaccine effectiveness. Therefore, an alternative strategy like mRNA-based vaccine using the most recent strains should be considered. We analyzed influenza A subtype H3N2 strains circulating in NH during the last 10 years (2009-2020). Phylogenetic analysis revealed multiple clades of influenza strains circulating every season, which had substantial mismatches with WHO-recommended vaccine strains. The clustering pattern suggests that influenza A subtype H3N2 strains are not fixed to the specific geographical region but circulate globally in the same season. By analyzing 39 seasons from eight NH countries with the highest vaccine coverage, we also provide evidence that the influenza A, subtype H3N2 strains from South and Southeast Asia, including Bangladesh, had the highest genetic proximity to the NH strains. Furthermore, insilico analysis showed minimal effect on the Bangladeshi HA protein structure, indicating the stability of Bangladeshi strains. Therefore, we propose that Bangladeshi influenza strains represent genetic makeup that may better fit and serve as the most suitable candidate vaccine viruses for the forthcoming NH season.

Indexed as

Influenza, HumanInfluenza VaccinesBangladeshHemagglutinin Glycoproteins, Influenza VirusHumansInfluenza A Virus, H3N2 SubtypePhylogenyRNA, MessengerSeasonsHemagglutinin Glycoproteins, Influenza VirusInfluenza VaccinesRNA, Messenger

Identifiers

PMID36171388
PMCPMC9519982

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LicenceCC BY
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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.