Evidence map›Paper›PMID 37465685›Full record

ArticleFrontiers in immunology2023

Third dose of BNT162b2 improves immune response in liver transplant recipients to ancestral strain but not Omicron BA.1 and XBB.

Zi Wei Chang, Yun Shan Goh, Angeline Rouers, Siew-Wai Fong, Matthew Zirui Tay, Jean-Marc Chavatte, Pei Xiang Hor, Chiew Yee Loh, Yuling Huang, Yong Jie Tan and 17 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 41% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. 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

27 authors at 6 institutions in 2 countries.

Zi Wei ChangASTAR Infectious Diseases Labs (ASTAR ID Labs), Agency for Science, Technology and Research (ASTAR), Singapore, Singapore.
Yun Shan GohASTAR Infectious Diseases Labs (ASTAR ID Labs), Agency for Science, Technology and Research (ASTAR), Singapore, Singapore.
Angeline RouersASTAR Infectious Diseases Labs (ASTAR ID Labs), Agency for Science, Technology and Research (ASTAR), Singapore, Singapore.
Siew-Wai FongASTAR Infectious Diseases Labs (ASTAR ID Labs), Agency for Science, Technology and Research (ASTAR), Singapore, Singapore.
Matthew Zirui TayASTAR Infectious Diseases Labs (ASTAR ID Labs), Agency for Science, Technology and Research (ASTAR), Singapore, Singapore.
Jean-Marc ChavatteNational Public Health Laboratory, National Centre for Infectious Diseases, Singapore, Singapore.
Pei Xiang HorASTAR Infectious Diseases Labs (ASTAR ID Labs), Agency for Science, Technology and Research (ASTAR), Singapore, Singapore.
Chiew Yee LohASTAR Infectious Diseases Labs (ASTAR ID Labs), Agency for Science, Technology and Research (ASTAR), Singapore, Singapore.
Yuling HuangASTAR Infectious Diseases Labs (ASTAR ID Labs), Agency for Science, Technology and Research (ASTAR), Singapore, Singapore.
Yong Jie TanASTAR Infectious Diseases Labs (ASTAR ID Labs), Agency for Science, Technology and Research (ASTAR), Singapore, Singapore.
Vanessa NeoASTAR Infectious Diseases Labs (ASTAR ID Labs), Agency for Science, Technology and Research (ASTAR), Singapore, Singapore.
Isaac Kai Jie KamASTAR Infectious Diseases Labs (ASTAR ID Labs), Agency for Science, Technology and Research (ASTAR), Singapore, Singapore.
Nicholas Kim-Wah YeoASTAR Infectious Diseases Labs (ASTAR ID Labs), Agency for Science, Technology and Research (ASTAR), Singapore, Singapore.
Eunice X TanYong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore, Singapore.
Daniel HuangYong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore, Singapore.
Bei WangSingapore Immunology Network (SIgN), Agency for Science, Technology and Research (ASTAR), Singapore.
Siti Nazihah Mohd SallehSingapore Immunology Network (SIgN), Agency for Science, Technology and Research (ASTAR), Singapore.
Eve Zi Xian NgohSingapore Immunology Network (SIgN), Agency for Science, Technology and Research (ASTAR), Singapore.
Cheng-I WangSingapore Immunology Network (SIgN), Agency for Science, Technology and Research (ASTAR), Singapore.
Yee-Sin LeoYong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore, Singapore.
Raymond Tzer Pin LinNational Public Health Laboratory, National Centre for Infectious Diseases, Singapore, Singapore.
David Chien Boon LyeYong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore, Singapore.
Barnaby Edward YoungLee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore.
Mark MuthiahYong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore, Singapore.
Lisa F P NgASTAR Infectious Diseases Labs (ASTAR ID Labs), Agency for Science, Technology and Research (ASTAR), Singapore, Singapore.
Laurent RéniaASTAR Infectious Diseases Labs (ASTAR ID Labs), Agency for Science, Technology and Research (ASTAR), Singapore, Singapore.
COVID-19 Study Group
Agency for Science, Technology and Research · SGNational University of Singapore · SGNational Centre for Infectious Diseases · SGSingapore Immunology Network · SGNanyang Technological University · SGNational University Hospital · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Vaccine immunogenicity in transplant recipients can be impacted by the immunosuppressive (IS) regimens they receive. While BNT162b2 vaccination has been shown to induce an immune response in liver transplant recipients (LTRs), it remains unclear how different IS regimens may affect vaccine immunogenicity after a third BNT162b2 dose in LTRs, which is especially important given the emergence of the Omicron sublineages of SARS-CoV-2. A total of 95 LTRs receiving single and multiple IS regimens were recruited and offered three doses of BNT162b2 during the study period. Blood samples were collected on days 0, 90, and 180 after the first BNT162b2 dose. At each time point, levels of anti-spike antibodies, their neutralizing activity, and specific memory B and T cell responses were assessed. LTRs receiving single IS regimens showed an absence of poor immunogenicity, while LTRs receiving multiple IS regimens showed lower levels of spike-specific antibodies and immunological memory compared to vaccinated healthy controls after two doses of BNT162b2. With a third dose of BNT162b2, spike-specific humoral, memory B, and T cell responses in LTR significantly improved against the ancestral strain of SARS-CoV-2 and were comparable to those seen in healthy controls who received only two doses of BNT162b2. However, LTRs receiving multiple IS regimens still showed poor antibody responses against Omicron sublineages BA.1 and XBB. A third dose of BNT162b2 may be beneficial in boosting antibody, memory B, and T cell responses in LTRs receiving multiple IS regimens, especially against the ancestral Wuhan strain of SARS-CoV-2. However, due to the continued vulnerability of LTRs to presently circulating Omicron variants, antiviral treatments such as medications need to be considered to prevent severe COVID-19 in these individuals.

Indexed as

COVID-19Liver TransplantationAntibodiesBNT162 VaccineHumansImmunologic MemoryImmunosuppressive AgentsSARS-CoV-2AntibodiesBNT162 VaccineImmunosuppressive AgentsantibodiesB cellsBNT162b2immunosuppressivesliver transplant recipientsSARS-CoV-2spike proteinT cells

Identifiers

PMID37465685
PMCPMC10350672
OpenAlexW4382940442

What OpenQuestion holds

Textmetadata
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.