Evidence map›Paper›PMID 40963815›Full record

ArticleFuture virology2025

Live long and persist: polyomavirus immune evasion in the brain and kidney.

Kalynn M Alexander, Katelyn N Ayers, Aron E Lukacher

Abstract read
In one paragraph

Article in Future virology, 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

3 authors.

Kalynn M AlexanderDepartment of Cell and Biological Systems, Penn State College of Medicine, Hershey, PA, USA.
Katelyn N AyersDepartment of Cell and Biological Systems, Penn State College of Medicine, Hershey, PA, USA.
Aron E LukacherDepartment of Cell and Biological Systems, Penn State College of Medicine, Hershey, PA, USA.

Funding

Deciphering Early Stages of Polyomavirus CNS Pathogenesis and ImmunityR35NS127217 · NINDS · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI Aron Eliot Lukacher · 2022 to 2026
$4.4M
NINDS NIH HHS R35 NS127217
6 · The paper itself

Abstract

Polyomaviruses (PyVs) are widespread commensals among vertebrates, including humans, where they silently persist lifelong in healthy hosts. Polyomavirus infection in immunocompromised individuals can cause life-threatening diseases. Of the 14 human polyomaviruses discovered to date, resurgent infections by the JC and BK PyVs are responsible for high morbidity and mortality in individuals with certain inherited or acquired immune perturbations. JCPyV causes several brain disorders, the most fully characterized and of highest (albeit rare) incidence being Progressive Multifocal Leukoencephalopathy (PML). BKPyV infection elicits a diffuse interstitial nephritis in up to 10% of allograft kidneys, and approximately 10% of allogeneic hematopoietic stem cell transplant recipients develop BKPyV-associated hemorrhagic cystitis. No clinically efficacious anti-PyV agents are available. Because PyVs are species-specific, determinants of pathogenesis by human PyVs are inferred from infection of cells in tissue culture. Insights into viral and immunological factors that enable PyVs to persist and cause central nervous system (CNS) and kidney disease in vivo have emerged from recent studies using mouse PyV (MuPyV), a natural murine pathogen. In this perspective, we discuss recent findings using the MuPyV-mouse model to understand early immunovirologic events of CNS and kidney infection, the development of PyV antiviral agents, and promising research directions for polyomavirology.

Indexed as

BKPyVJCPyVMuPyVPMLPVAN

Identifiers

PMID40963815
PMCPMC12439856

What OpenQuestion holds

Textmetadata
LicenceTDM
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.