Evidence map›Paper›PMID 37033936›Full record

ArticleFrontiers in immunology2023

Low humoral and cellular immune responses early after breakthrough infection may contribute to severe COVID-19.

Chan Mi Lee, Pyoeng Gyun Choe, Chang Kyung Kang, Eunyoung Lee, Kyoung-Ho Song, Ji Hwan Bang, Eu Suk Kim, Hong Bin Kim, Nam Joong Kim, Hang-Rae Kim and 6 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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 31% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

16 authors at 4 institutions in 1 country.

Chan Mi LeeDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.
Pyoeng Gyun ChoeDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.
Chang Kyung KangDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.
Eunyoung LeeDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.
Kyoung-Ho SongDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.
Ji Hwan BangDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.
Eu Suk KimDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.
Hong Bin KimDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.
Nam Joong KimDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.
Hang-Rae KimDepartment of Anatomy & Cell Biology and Biomedical Sciences, Seoul National University College of Medicine, Seoul, Republic of Korea.
Youngju KimBK21 FOUR Biomedical Science Project, Seoul National University College of Medicine, Seoul, Republic of Korea.
Chang-Han LeeBK21 FOUR Biomedical Science Project, Seoul National University College of Medicine, Seoul, Republic of Korea.
Hyun Mu ShinBK21 FOUR Biomedical Science Project, Seoul National University College of Medicine, Seoul, Republic of Korea.
Sang-Won ParkDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.
Wan Beom ParkDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.
Myoung-Don OhDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.
Seoul National University · KRSeoul National University Hospital · KRSeoul National University Bundang Hospital · KRSNUH SMG-SNU Boramae Medical Center · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Little is known about the immune determinants for severe coronavirus disease 2019 (COVID-19) in individuals vaccinated against severe acute respiratory syndrome coronavirus 2. We therefore attempted to identify differences in humoral and cellular immune responses between patients with non-severe and severe breakthrough COVID-19. Methods: We prospectively enrolled hospitalized patients with breakthrough COVID-19 (severe and non-severe groups) and uninfected individuals who were vaccinated at a similar time (control group). Severe cases were defined as those who required oxygen therapy while hospitalized. Enzyme-linked immunosorbent assays and flow cytometry were used to evaluate humoral and cellular immune responses, respectively. Results: Anti-S1 IgG titers were significantly lower in the severe group than in the non-severe group within 1 week of symptom onset and higher in the non-severe group than in the control group. Compared with the control group, the cellular immune response tended to be diminished in breakthrough cases, particularly in the severe group. In multivariate analysis, advanced age and low anti-S1 IgG titer were associated with severe breakthrough COVID-19. Conclusions: Severe breakthrough COVID-19 might be attributed by low humoral and cellular immune responses early after infection. In the vaccinated population, delayed humoral and cellular immune responses may contribute to severe breakthrough COVID-19.

Indexed as

Complementary TherapiesCOVID-19Breakthrough InfectionsHumansImmunoglobulin GSARS-CoV-2Immunoglobulin Gantibodybreakthrough infectionCOVID-19immune responseSARS-CoV-2

Identifiers

PMID37033936
PMCPMC10073433
OpenAlexW4353084907

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.