Evidence map›Paper›PMID 40328898›Full record

ArticleBone marrow transplantation2025

ELISPOT as a predictor of clinically significant cytomegalovirus infection after hematopoietic cell transplantation in letermovir recipients.

Danniel Zamora, Hu Xie, Elizabeth Wong, Clarissa Santiano, Andrea Vivas-Jimenez, Alicja Sadowska-Klasa, Eleftheria Kampouri, Terry Stevens-Ayers, Masumi Ueda Oshima, Wendy M Leisenring and 2 more

Abstract read
In one paragraph

Article in Bone marrow transplantation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. 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

12 authors.

Danniel ZamoraVaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA, USA.ORCID 0000-0002-1318-2902
Hu XieClinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA, USA.ORCID 0000-0003-0556-6591
Elizabeth WongVaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA, USA.
Clarissa SantianoVaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA, USA.
Andrea Vivas-JimenezVaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA, USA.
Alicja Sadowska-KlasaVaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA, USA.
Eleftheria KampouriVaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA, USA.ORCID 0000-0001-8019-3073
Terry Stevens-AyersVaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA, USA.
Masumi Ueda OshimaClinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA, USA.ORCID 0000-0003-2277-1976
Wendy M LeisenringClinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA, USA.
Joshua A HillVaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA, USA.ORCID 0000-0002-7665-7100
Michael BoeckhVaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA, USA. mboeckh@fredhutch.org.ORCID 0000-0003-1538-7984

Funding

Translational Bioimaging Core Shared ResourceP30CA015704 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Eric Collisson · 1985 to 2026
$296.4M
Training Program in Infectious Diseases in the Immunocompromised HostT32AI118690 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI BOECKH, MICHAEL J · 2016 to 2025
$4.0M
Cytomegalovirus-specific Immune Reconstitution after Hematopoietic Cell Transplantation in the Era of Modern Antiviral ProphylaxisK23AI163343 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Danniel Zamora · 2022 to 2026
$945k
NCI NIH HHS P30 CA015704NIAID NIH HHS K23 AI163343NIAID NIH HHS T32 AI118690U.S. Department of Health & Human Services | National Institutes of Health (NIH) K23AI163343
6 · The paper itself

Abstract

We examined cytomegalovirus-specific cell-mediated immunity (CMV-CMI) to pp65 and IE-1 at 100 days after hematopoietic cell transplantation (HCT) following discontinuation of letermovir prophylaxis using ELISPOT (T-SPOT®.CMV, Oxford-Immunotec, Abingdon, UK). We compared ELISPOT results to a laboratory-developed intracellular cytokine staining (ICS) assay and characterized thresholds for the prediction of late clinically significant (cs)CMV infection using receiver operating characteristic analysis. We identified factors associated with high (i.e., at or above threshold) CMV-CMI to both antigens. ELISPOT correlated well with polyfunctional CMV-specific T-cell immunity by ICS. We defined thresholds of 67 and 4 spots per 250,000 cells for pp65 and IE-1, respectively, for predicting late csCMV infection. PBSC graft source, CMV seropositive donor, and/or CMV reactivation in the first 100 days post-HCT were associated with high CMV-CMI to pp65 and/or IE-1. Patients with high CMV-CMI to both antigens at day 100 had a lower incidence of late csCMV infection, however, late changes in immunosuppression affected risk prediction. Clinical risk factors (e.g., early CMV infection, acute graft-versus-host disease) predicted late csCMV and improved the predictive value of CMV-CMI testing. Thus, standardized CMV-CMI, after HCT, combined with clinical factors can be used to accurately stratify the risk of late csCMV infection after letermovir prophylaxis.

Indexed as

AcetatesCytomegalovirus InfectionsEnzyme-Linked Immunospot AssayHematopoietic Stem Cell TransplantationAdolescentAdultAgedAntiviral AgentsCytomegalovirusFemaleHumansMaleMiddle AgedQuinazolinesAcetatesAntiviral AgentsletermovirQuinazolines

Identifiers

PMID40328898
PMCPMC12818887

What Socratic 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 Socratic graph.