Evidence map›Paper›PMID 34976867›Full record

ArticleFrontiers in cellular and infection microbiology2021

Differential Antibody Response to Inactivated COVID-19 Vaccines in Healthy Subjects.

Jiaqi Zhang, Shan Xing, Dan Liang, Wei Hu, Changwen Ke, Jinyong He, Runyu Yuan, Yile Huang, Yizhe Li, Dongdong Liu and 11 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 10% 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

28 citing papers in PubMed, 1 synthesis or guideline pooled it, 35 citations in OpenAlex.

  1. Pooled it
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  5. Observational
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  15. Dynamics of CD4Infection and drug resistance · 2023
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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

21 authors at 4 institutions in 1 country.

Jiaqi ZhangDepartment of Laboratory Medicine, Shunde Hospital of Guangzhou University of Chinese Medicine, Foshan, China.
Shan XingDepartment of Laboratory Medicine, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.
Dan LiangGuangdong Center for Disease Control and Prevention, Guangdong Provincial Institute of Public Health, Guangzhou, China.
Wei HuDepartment of Laboratory Medicine, Shunde Hospital of Guangzhou University of Chinese Medicine, Foshan, China.
Changwen KeGuangdong Center for Disease Control and Prevention, Guangdong Provincial Institute of Public Health, Guangzhou, China.
Jinyong HeDepartment of Laboratory Medicine, Shunde Hospital of Guangzhou University of Chinese Medicine, Foshan, China.
Runyu YuanGuangdong Center for Disease Control and Prevention, Guangdong Provincial Institute of Public Health, Guangzhou, China.
Yile HuangDepartment of Laboratory Medicine, Shunde Hospital of Guangzhou University of Chinese Medicine, Foshan, China.
Yizhe LiDepartment of Laboratory Medicine, Shunde Hospital of Guangzhou University of Chinese Medicine, Foshan, China.
Dongdong LiuDepartment of Laboratory Medicine, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
Xuedong ZhangDepartment of Medical Affairs, Autobio Diagnostics Co. Ltd, Zhengzhou, China.
Lin LiDepartment of Laboratory Medicine, Shunde Hospital of Guangzhou University of Chinese Medicine, Foshan, China.
Jianhua LinDepartment of Laboratory Medicine, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.
Weili LiResearch & Development Centers, Autobio Diagnostics Co. Ltd, Zhengzhou, China.
Xiangyun TengDepartment of Laboratory Medicine, Shunde Hospital of Guangzhou University of Chinese Medicine, Foshan, China.
Yijun LiuDepartment of Laboratory Medicine, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.
Wei WenHealth Management Research Center, Shunde Hospital of Guangzhou University of Chinese Medicine, Foshan, China.
Qiang KangEmergency Department, Shunde Hospital of Guangzhou University of Chinese Medicine, Foshan, China.
Dawei WangDepartment of Pulmonary and Critical Care Medicine, Shunde Hospital of Guangzhou University of Chinese Medicine, Foshan, China.
Wanli LiuDepartment of Laboratory Medicine, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.
Jianhua XuDepartment of Laboratory Medicine, Shunde Hospital of Guangzhou University of Chinese Medicine, Foshan, China.
Guangzhou University of Chinese Medicine · CNGuangdong Provincial Center for Disease Control and Prevention · CNSun Yat-sen University · CNSun Yat-sen University Cancer Center · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The appearance and magnitude of the immune response and the related factors correlated with SARS-CoV-2 vaccination need to be defined. Here, we enrolled a prospective cohort of 52 participants who received two doses of inactivated vaccines (BBIBP-CorV). Their serial plasma samples (n = 260) over 2 months were collected at five timepoints. We measured antibody responses (NAb, S-IgG and S-IgM) and routine blood parameter. NAb seroconversion occurred in 90.7% of vaccinated individuals and four typical NAb kinetic curves were observed. All of the participants who seroconverted after the first dose were females and had relatively high prevaccine estradiol levels. Moreover, those without seroconversion tended to have lower lymphocyte counts and higher serum SAA levels than those who experienced seroconversion. The NAb titers in young vaccine recipients had a significantly higher peak than those in elderly recipients. S-IgG and S-IgM dynamics were accompanied by similar trends in NAb. Here, we gained insight into the dynamic changes in NAbs and preliminarily explored the prevaccine blood parameters related to the kinetic subclasses, providing a reference for vaccination strategies.

Indexed as

COVID-19COVID-19 VaccinesAgedAntibodies, NeutralizingAntibodies, ViralAntibody FormationFemaleHealthy VolunteersHumansProspective StudiesSARS-CoV-2Vaccines, InactivatedAntibodies, NeutralizingAntibodies, ViralCOVID-19 VaccinesVaccines, Inactivatedantibody dynamicantibody responseimmune responseinactivated SARS-CoV-2 vaccineneutralizing antibody

Identifiers

PMID34976867
PMCPMC8716725
OpenAlexW4200549619

What OpenQuestion holds

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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.