Evidence map›Paper›PMID 37542407›Full record

ArticleEmerging microbes & infections2023

Characterizing the dynamics of BCR repertoire from repeated influenza vaccination.

Guoqin Mai, Chi Zhang, Chunhong Lan, Jie Zhang, Yuanyuan Wang, Kang Tang, Jing Tang, Jinfeng Zeng, Yilin Chen, Peiwen Cheng and 17 more

Open access · goldAbstract read
In one paragraph

Article in Emerging microbes & infections, 2023. 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
2.1field-weighted citation impact, top 12% of its field
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, 10 citations in OpenAlex.

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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

27 authors at 3 institutions in 1 country.

Guoqin MaiSchool of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, People's Republic of China.
Chi ZhangSchool of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, People's Republic of China.
Chunhong LanDepartment of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou, People's Republic of China.
Jie ZhangSchool of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, People's Republic of China.
Yuanyuan WangSchool of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, People's Republic of China.
Kang TangSchool of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, People's Republic of China.
Jing TangSchool of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, People's Republic of China.
Jinfeng ZengSchool of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, People's Republic of China.
Yilin ChenSchool of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, People's Republic of China.
Peiwen ChengSchool of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, People's Republic of China.
Shuning LiuSchool of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, People's Republic of China.
Haoyu LongSchool of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, People's Republic of China.
Qilan WenSchool of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, People's Republic of China.
Aqin LiSchool of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, People's Republic of China.
Xuan LiuSchool of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, People's Republic of China.
Ruitong ZhangSchool of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, People's Republic of China.
Shuyang XuSchool of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, People's Republic of China.
Lin LiuSchool of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, People's Republic of China.
Yanlan NiuSchool of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, People's Republic of China.
Lan YangSchool of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, People's Republic of China.
Yihan WangSchool of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, People's Republic of China.
Di YinSchool of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, People's Republic of China.
Caijun SunSchool of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, People's Republic of China.
Yao-Qing ChenSchool of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, People's Republic of China.
Wei ShenDepartment of Rheumatology and Immunology, Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing, People's Republic of China.
Zhenhai ZhangDepartment of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou, People's Republic of China.
Xiangjun DuSchool of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, People's Republic of China.ORCID 0000-0001-8184-8430
Sun Yat-sen University · CNGuangdong Academy of Medical Sciences · CNNanjing Drum Tower Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Yearly epidemics of seasonal influenza cause an enormous disease burden around the globe. An understanding of the rules behind the immune response with repeated vaccination still presents a significant challenge, which would be helpful for optimizing the vaccination strategy. In this study, 34 healthy volunteers with 16 vaccinated were recruited, and the dynamics of the BCR repertoire for consecutive vaccinations in two seasons were tracked. In terms of diversity, length, network, V and J gene segments usage, somatic hypermutation (SHM) rate and isotype, it was found that the overall changes were stronger in the acute phase of the first vaccination than the second vaccination. However, the V gene segments of IGHV4-39, IGHV3-9, IGHV3-7 and IGHV1-69 were amplified in the acute phase of the first vaccination, with IGHV3-7 dominant. On the other hand, for the second vaccination, the changes were dominated by IGHV1-69, with potential for coding broad neutralizing antibody. Additional analysis indicates that the application of V gene segment for IGHV3-7 in the acute phase of the first vaccination was due to the elevated usage of isotypes IgM and IgG3. While for IGHV1-69 in the second vaccination, it was contributed by isotypes IgG1 and IgG2. Finally, 41 public BCR clusters were identified in the vaccine group, with both IGHV3-7 and IGHV1-69 were involved and representative complementarity determining region 3 (CDR3) motifs were characterized. This study provides insights into the immune response dynamics following repeated influenza vaccination in humans and can inform universal vaccine design and vaccine strategies in the future.

Indexed as

Immunoglobulin Heavy ChainsInfluenza, HumanComplementarity Determining RegionsHumansMultigene FamilyVaccinationComplementarity Determining RegionsImmunoglobulin Heavy ChainsBCR repertoireCDR3InfluenzaPublic BCR clusterVaccinationV and J gene segments usage

Identifiers

PMID37542407
PMCPMC10438862
OpenAlexW4385606864

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.