Evidence map›Paper›PMID 39081516›Full record

ArticleMedComm2024

The rising SARS-CoV-2 JN.1 variant: evolution, infectivity, immune escape, and response strategies.

Yishan Lu, Danyi Ao, Xuemei He, Xiawei Wei

Abstract read
In one paragraph

Article in MedComm, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing 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

39 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

4 authors.

Yishan LuState Key Laboratory of Biotherapy West China Hospital Sichuan University Sichuan People's Republic of China.ORCID https://orcid.org/0000-0003-0771-3057
Danyi AoState Key Laboratory of Biotherapy West China Hospital Sichuan University Sichuan People's Republic of China.ORCID https://orcid.org/0000-0003-3426-2730
Xuemei HeState Key Laboratory of Biotherapy West China Hospital Sichuan University Sichuan People's Republic of China.
Xiawei WeiState Key Laboratory of Biotherapy West China Hospital Sichuan University Sichuan People's Republic of China.ORCID https://orcid.org/0000-0002-6513-6422

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The JN.1 variant of COVID-19 has emerged as the dominant strain worldwide since the end of 2023. As a subclade of the BA.2.86 variant, JN.1 harbors a unique combination of mutations inherited from the BA.2.86 lineage, notably featuring the novel L455S mutation within its receptor-binding motif. This mutation has been linked to increased transmissibility and enhanced immune evasion capabilities. During the rise of JN.1, evidence of resistance to various monoclonal antibodies and reduced cross-neutralization effects of the XBB.1.5 vaccine have been observed. Although the public health threat posed by the JN.1 variant appears relatively low, concerns persist regarding its evolutionary trajectory under immune pressure. This review provides a comprehensive overview of the evolving JN.1 variant, highlighting the need for continuous monitoring and investigation of new variants that could lead to widespread infection. It assesses the efficacy of current vaccines and therapeutics against emerging variants, particularly focusing on immunocompromised populations. Additionally, this review summarizes potential vaccine advancements and clinical treatments for COVID-19, offering insights to optimize prevention and treatment strategies. This review thoroughly evaluates the JN.1 variant's impact on public health and its implications for future vaccine and therapeutic development, contributing to ongoing efforts to mitigate the risk of virus transmission and disease severity.

Indexed as

immune evasionJN.1 variantresponse strategiesvaccine

Identifiers

PMID39081516
PMCPMC11286544

What Socratic 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 Socratic graph.