Evidence map›Paper›PMID 42209544›Full record

ArticleScientific reports2026

Development of VP1 based indirect ELISAs for BK and JC polyomaviruses with seroprevalence assessment and cross reactivity evaluation.

Amir Hossein Alipour, Fatemeh Hoda Fallah, Bahman Abedi Kiasari

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Amir Hossein AlipourDepartment of Microbiology and Immunology, Faculty of Veterinary Medicine, University of Tehran, Tehran, Iran.
Fatemeh Hoda FallahAllergy and Clinical Immunology Department, Childrens Medical Centre, Tehran University of Medical Sciences, Tehran, Iran.
Bahman Abedi KiasariDepartment of Microbiology and Immunology, Faculty of Veterinary Medicine, University of Tehran, Tehran, Iran. abedikiasari_b@ut.ac.ir.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BK virus (BKV) and JC virus (JCV) are widespread human polyomaviruses with significant clinical relevance, especially in immunocompromised populations. Reliable serological assays play a key role in epidemiological surveillance and clinical diagnostics. In this study, indirect ELISAs based on recombinant VP1 capsid proteins of BKV and JCV-expressed and purified using insect cell-based systems-were developed and optimized. A serological analysis of 67 human serum samples revealed an overall seroprevalence of 77.6% for BKV and 34.3% for JCV, with antibody prevalence increasing progressively with age. Importantly, competitive inhibition ELISAs demonstrated no significant cross-reactivity between antibodies against BKV and JCV VP1 antigens, confirming the high specificity of the assays. Comparative evaluation indicated that baculovirus-expressed VP1 antigens yielded higher quality proteins yielding stronger and more reliable assay signals, endorsing their use for large-scale seroepidemiological studies. These findings provide robust serological tools for accurate assessment of polyomavirus exposure and have potential clinical utility in monitoring populations at risk of polyomavirus-associated diseases, such as transplant recipients.

Indexed as

BK VirusCapsid ProteinsJC VirusPolyomavirus InfectionsAnimalsAntibodies, ViralCross ReactionsEnzyme-Linked Immunosorbent AssayHumansSeroepidemiologic StudiesAntibodies, ViralCapsid ProteinsVP1 protein, polyomavirusBaculovirus systemBK virusELISAJC virusSeroprevalenceVP1 protein

Identifiers

PMID42209544
PMCPMC13219706

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.