Evidence map›Paper›PMID 15242938›Full record

ArticleClinical and diagnostic laboratory immunology2004

Longitudinal profile of immunoglobulin G (IgG), IgM, and IgA antibodies against the severe acute respiratory syndrome (SARS) coronavirus nucleocapsid protein in patients with pneumonia due to the SARS coronavirus.

Patrick C Y Woo, Susanna K P Lau, Beatrice H L Wong, Kwok-hung Chan, Chung-ming Chu, Hoi-wah Tsoi, Yi Huang, J S Malik Peiris, Kwok-yung Yuen

Open access · diamondAbstract readComparative Study
In one paragraph

Article in Clinical and diagnostic laboratory immunology, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 114 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
114citing papers in PubMed, 1 pooled it
5.0field-weighted citation impact, top 4% 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

114 citing papers in PubMed, 1 synthesis or guideline pooled it, 190 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Observational
  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
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  12. Article
  13. Lateral Flow Immunoassays for SARS-CoV-2.Diagnostics (Basel, Switzerland) · 2022
    Review
  14. Risk management and communication plans from SARS to COVID-19 and beyond.The International journal of health planning and management · 2022
    Review
  15. The durability of natural infection and vaccine-induced immunity against future infection by SARS-CoV-2.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  16. Review
  17. From Pandemicity to Endemicity: The Journey of SARS-CoV-2.Journal of epidemiology and global health · 2022
    Article
  18. Article
  19. Review
  20. Article

54 more citing papers are in PubMed but not listed here.

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

9 authors at 3 institutions in 2 countries.

Patrick C Y WooDepartment of Microbiology, The University of Hong Kong, Hong Kong.
Susanna K P Lau
Beatrice H L Wong
Kwok-hung Chan
Chung-ming Chu
Hoi-wah Tsoi
Yi Huang
J S Malik Peiris
Kwok-yung Yuen
University of Hong Kong · HKUnited Christian Hospital · CNChinese University of Hong Kong · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

By using a recombinant severe acute respiratory syndrome coronavirus (SARS-CoV) nucleocapsid protein-based enzyme-linked immunosorbent assay (ELISA) and serum specimens serially collected (from day 0 to day 240 after symptom onset) from patients with pneumonia due to SARS-CoV, we analyzed the longitudinal profiles of immunoglobulin G (IgG), IgM, and IgA antibodies against the SARS-CoV nucleocapsid protein in patients with pneumonia due to SARS-CoV. For IgG, the median optical density at 450 nm (OD450) turned positive at day 17 and a biphasic response was observed. At day 240, all patients were still positive for anti-nucleocapsid protein IgG antibody. For IgM, the median OD450 turned positive at day 20.5, peaked at about day 80, and fell to below the baseline level at about day 180. At day 240, 36% of the patients were still positive for anti-nucleocapsid protein IgM antibody. For IgA, the median OD450 turned positive at day 17, peaked at about day 50, and fell to below the baseline level at about day 180. At day 240, 36% of the patients were still positive for anti-nucleocapsid protein IgA antibody. The time of seroconversion detected by the recombinant SARS-CoV nucleocapsid protein-based ELISA and that detected by indirect immunofluorescence assay were similar. The median times of seroconversion for IgG, IgM, and IgA detected by the indirect immunofluorescence assay were 17 days (17 days by ELISA), 16.5 days (20.5 days by ELISA), and 17.5 days (17 days by ELISA), respectively, after disease onset. One, four, and one of the six patients who died did not produce any IgG, IgM, and IgA antibodies against the nucleocapsid protein of SARS-CoV, respectively, although these antibodies were detected in all six patients by the indirect immunofluorescence assay. Further studies should be performed to see whether SARS-CoV nucleocapsid protein antibody positivity has any prognostic significance.

Indexed as

Antibodies, ViralCoronavirus Nucleocapsid ProteinsEnzyme-Linked Immunosorbent AssayFluorescent Antibody TechniqueHumansImmunoglobulin AImmunoglobulin GImmunoglobulin MNucleocapsid ProteinsPneumoniaPrognosisRecombinant ProteinsSevere Acute Respiratory SyndromeSevere acute respiratory syndrome-related coronavirusTime FactorsAntibodies, ViralCoronavirus Nucleocapsid ProteinsImmunoglobulin AImmunoglobulin GImmunoglobulin MNucleocapsid ProteinsRecombinant Proteins

Identifiers

PMID15242938
PMCPMC440610
OpenAlexW2115484790

What OpenQuestion holds

Textmetadata
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.