Evidence map›Paper›PMID 39916832›Full record

ArticleHeliyon2025

Pre-existing IgG antibodies to HCoVs NL63 and OC43 Spike increased during the pandemic and after COVID-19 vaccination.

Zahra Hasan, Kiran Iqbal Masood, Marc Veldhoen, Shama Qaiser, Marta Alenquer, Mishgan Akhtar, Sadaf Balouch, Junaid Iqbal, Yaqub Wassan, Shahneel Hussain and 9 more

Abstract read
In one paragraph

Article in Heliyon, 2025. 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
–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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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

19 authors.

Zahra HasanDepartment of Pathology and Laboratory Medicine, The Aga Khan University (AKU), Karachi, Pakistan.
Kiran Iqbal MasoodDepartment of Pathology and Laboratory Medicine, The Aga Khan University (AKU), Karachi, Pakistan.
Marc VeldhoenInstituto de Medicina Molecular | João Lobo Antunes, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal.
Shama QaiserDepartment of Pathology and Laboratory Medicine, The Aga Khan University (AKU), Karachi, Pakistan.
Marta AlenquerCatolica Biomedical Research Center, Católica Medical School, Universidade Católica Portuguesa, Palma de Cima, 1649-023, Lisboa, Portugal.
Mishgan AkhtarDepartment of Pathology and Laboratory Medicine, The Aga Khan University (AKU), Karachi, Pakistan.
Sadaf BalouchDepartment of Pathology and Laboratory Medicine, The Aga Khan University (AKU), Karachi, Pakistan.
Junaid IqbalCenter of Excellence in Women and Child Health, AKU, Karachi, Pakistan.
Yaqub WassanCenter of Excellence in Women and Child Health, AKU, Karachi, Pakistan.
Shahneel HussainCenter of Excellence in Women and Child Health, AKU, Karachi, Pakistan.
Khalid FerozCenter of Excellence in Women and Child Health, AKU, Karachi, Pakistan.
Sajid MuhammadCenter of Excellence in Women and Child Health, AKU, Karachi, Pakistan.
Atif HabibCenter of Excellence in Women and Child Health, AKU, Karachi, Pakistan.
Akbar KanjiDepartment of Pathology and Laboratory Medicine, The Aga Khan University (AKU), Karachi, Pakistan.
Erum KhanDepartment of Pathology and Laboratory Medicine, The Aga Khan University (AKU), Karachi, Pakistan.
Afsar Ali MianCenter for Regenerative Medicine, AKU, Karachi, Pakistan.
Rabia HussainDepartment of Pathology and Laboratory Medicine, The Aga Khan University (AKU), Karachi, Pakistan.
Maria Joao AmorimCatolica Biomedical Research Center, Católica Medical School, Universidade Católica Portuguesa, Palma de Cima, 1649-023, Lisboa, Portugal.
Zulfiqar A BhuttaCenter of Excellence in Women and Child Health, AKU, Karachi, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Preexisting immunity may be associated with increased protection against non-related pathogens such as, SARS-CoV-2. There is little information regarding endemic human coronaviruses (HCOVs) from Pakistan, which experienced a relatively low COVID-19 morbidity and mortality. We investigated antibodies to SARS-CoV-2 and HCoVs NL63 and OC43, comparing sera from prepandemic controls (PPC) period with responses in healthy controls from the pandemic (HC 2021). Further, we investigated the effect of inactivated and mRNA COVID-19 vaccinations on antibody responses to the pandemic and endemic coronaviruses. We measured IgG antibodies to Spike of SARS-CoV-2, HCoV-NL63 and HCoV-OC43 by ELISA. Serum neutralizing capacity was determined using a SARS-CoV-2 psuedotyped virus assay. Vaccinees were sampled prior to vaccination as well after 6, 12 and 24 weeks after COVID-19 inactivated (Sinovac), or mRNA (BNT162b2) vaccine administration. PPC sera showed seropositivity of 15 % to SARS-CoV-2, whilst it was 45 % in the HC 2021 group. Five percent of sera showed virus neutralizing activity in PPC whilst it was 50 % in HC 2021. IgG antibodies to Spike of NL63 and OC43 were also present in PPC; anti-NL63 was 2.9-fold, and anti-OC43 was 10.1-fold higher than to anti-SARS-CoV-2 levels. IgG antibodies to Spike SARS-CoV-2 were positively correlated with HCoV-NL63 in HC 2021, indicating recognition of shared conserved epitopes. IgG antibody levels increased during the pandemic; 2.7-fold to HCoV-NL63 and 1.9-fold to HCoV-OC43. SinoVac and BNT162b2 vaccine induced an increase in IgG antibodies to Spike SARS-CoV-2 as well as HCoV-NL63 and HCoV-OC43. Our data show that antibodies to spike protein of endemic coronaviruses were present in the prepandemic population. Antibodies to SARS-CoV-2, NL63 and OC43 were all raised during the pandemic and further enhanced after COVID-19 vaccinations. The increase in antibodies to spike of coronaviruses would contribute to protection against SARS-CoV-2.

Identifiers

PMID39916832
PMCPMC11795784

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Registered trials

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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.