Evidence map›Paper›PMID 35392102›Full record

ArticleFrontiers in immunology2022

Distinct Immune Response at 1 Year Post-COVID-19 According to Disease Severity.

Chang Kyung Kang, Minji Kim, Jisu Hong, Gwanghun Kim, Soojin Lee, Euijin Chang, Pyoeng Gyun Choe, Nam Joong Kim, Ik Soo Kim, Jun-Young Seo and 8 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.3field-weighted citation impact, top 19% 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

10 citing papers in PubMed, 14 citations in OpenAlex.

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  10. Biomarkers of sequela in adult patients convalescing from COVID-19.Advances in biomarker sciences and technology · 2022
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors at 5 institutions in 1 country.

Chang Kyung KangDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, South Korea.
Minji KimDepartment of Biomedical Sciences, Seoul National University College of Medicine, Seoul, South Korea.
Jisu HongDepartment of Biomedical Sciences, Seoul National University College of Medicine, Seoul, South Korea.
Gwanghun KimDepartment of Biomedical Sciences, Seoul National University College of Medicine, Seoul, South Korea.
Soojin LeeDepartment of Biomedical Sciences, Seoul National University College of Medicine, Seoul, South Korea.
Euijin ChangDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, South Korea.
Pyoeng Gyun ChoeDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, South Korea.
Nam Joong KimDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, South Korea.
Ik Soo KimDepartment of Microbiology, School of Medicine, Gachon University, Incheon, South Korea.
Jun-Young SeoSeverance Biomedical Science Institute, Yonsei University College of Medicine, Seoul, South Korea.
Daesub SongCollege of Pharmacy, Korea University, Sejong, South Korea.
Dong-Sup LeeDepartment of Biomedical Sciences, Seoul National University College of Medicine, Seoul, South Korea.
Hyun Mu ShinDepartment of Biomedical Sciences, Seoul National University College of Medicine, Seoul, South Korea.
Yong-Woo KimWide River Institute of Immunology, Seoul National University, Hongcheon, South Korea.
Chang-Han LeeDepartment of Biomedical Sciences, Seoul National University College of Medicine, Seoul, South Korea.
Wan Beom ParkDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, South Korea.
Hang-Rae KimDepartment of Biomedical Sciences, Seoul National University College of Medicine, Seoul, South Korea.
Myoung-Don OhDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, South Korea.
Seoul National University · KRGachon University · KRKorea University · KRSeoul National University Hospital · KRYonsei University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Despite the fact of ongoing worldwide vaccination programs for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), understanding longevity, breadth, and type of immune response to coronavirus disease-19 (COVID-19) is still important to optimize the vaccination strategy and estimate the risk of reinfection. Therefore, we performed thorough immunological assessments 1 year post-COVID-19 with different severity. Methods: We analyzed peripheral blood mononuclear cells and plasma samples at 1 year post-COVID-19 in patients who experienced asymptomatic, mild, and severe illness to assess titers of various isotypes of antibodies (Abs) against SARS-CoV-2 antigens, phagocytic capability, and memory B- and T-cell responses. Findings: A total of 24 patients (7, 9, and 8 asymptomatic, mild, and severe patients, respectively) and eight healthy volunteers were included in this study. We firstly showed that disease severity is correlated with parameters of immune responses at 1 year post-COVID-19 that play an important role in protecting against reinfection with SARS-CoV-2, namely, the phagocytic capacity of Abs and memory B-cell responses. Interpretation: Various immune responses at 1 year post-COVID-19, particularly the phagocytic capacity and memory B-cell responses, were dependent on the severity of the prior COVID-19. Our data could provide a clue for a tailored vaccination strategy after natural infection according to the severity of COVID-19.

Indexed as

COVID-19Antibodies, ViralHumansImmunityLeukocytes, MononuclearReinfectionSARS-CoV-2Severity of Illness IndexAntibodies, Viralantibodymemory B cellsmemory T cellsphagocytosisSARS-CoV-2

Identifiers

PMID35392102
PMCPMC8980227
OpenAlexW4221103225

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.