Evidence map›Paper›PMID 39749487›Full record

ArticleThe Journal of infectious diseases2025

A Surrogate Enzyme-Linked Immunosorbent Assay to Select High-Titer Human Convalescent Plasma for Treating Immunocompromised Patients Infected With Severe Acute Respiratory Syndrome Coronavirus 2 Variants of Concern.

Victoria Dolange, Stefan Slamanig, Adam Abdeljawad, Tsoi Ying Lai, Nicholas Lemus, Gagandeep Singh, Juan Manuel Carreño, Anass Abbad, Komal Srivastava, Viviana Simon and 7 more

Abstract read
In one paragraph

Article in The Journal of infectious diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

17 authors.

Victoria DolangeDepartment of Microbiology, Icahn School of Medicine at Mount Sinai, New York, New York.
Stefan SlamanigDepartment of Microbiology, Icahn School of Medicine at Mount Sinai, New York, New York.ORCID 0000-0003-3694-6597
Adam AbdeljawadDepartment of Microbiology, Icahn School of Medicine at Mount Sinai, New York, New York.ORCID 0009-0006-2024-109X
Tsoi Ying LaiDepartment of Microbiology, Icahn School of Medicine at Mount Sinai, New York, New York.
Nicholas LemusDepartment of Microbiology, Icahn School of Medicine at Mount Sinai, New York, New York.
Gagandeep SinghDepartment of Microbiology, Icahn School of Medicine at Mount Sinai, New York, New York.
Juan Manuel CarreñoDepartment of Microbiology, Icahn School of Medicine at Mount Sinai, New York, New York.
Anass AbbadDepartment of Microbiology, Icahn School of Medicine at Mount Sinai, New York, New York.
Komal SrivastavaDepartment of Microbiology, Icahn School of Medicine at Mount Sinai, New York, New York.
Viviana SimonDepartment of Microbiology, Icahn School of Medicine at Mount Sinai, New York, New York.
Jaiprasath SachithanandhamDepartment of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland.
Andrew PekoszDepartment of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland.ORCID 0000-0003-3248-1761
David SullivanDepartment of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland.ORCID 0000-0003-0319-0578
Florian KrammerDepartment of Microbiology, Icahn School of Medicine at Mount Sinai, New York, New York.ORCID 0000-0003-4121-776X
Weina SunDepartment of Microbiology, Icahn School of Medicine at Mount Sinai, New York, New York.ORCID 0000-0002-2435-5047
Peter PaleseDepartment of Microbiology, Icahn School of Medicine at Mount Sinai, New York, New York.
Irene González-DomínguezDepartment of Microbiology, Icahn School of Medicine at Mount Sinai, New York, New York.ORCID 0000-0002-7920-5505

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe emergence of new severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants challenges the treatment of immunocompromised patients against coronavirus disease 2019 (COVID-19). High-titer COVID-19 convalescent plasma (CCP) remains one of the few available therapeutics for these patients. We have revisited the selection of CCP samples and evaluated their efficacy against the Omicron XBB.1.5 variant, the dominant strain in 2023.

methodsA surrogate enzyme-linked immunoassay was reviewed to select CCP samples that ensure a protective level of neutralizing antibodies as the main correlate of protection. Antibody titers were analyzed in 500 serum samples from a population-based serosurvey at Mount Sinai Hospital in early 2023, and the results were validated with CCP samples (collected in 2020-2023) using an immunosuppressed mouse model.

resultsUsing logistic regression modeling, we have redefined high-titer CCP against the new variant in the postpandemic era, where over 97% of the population has natural or vaccine-induced antibodies against earlier SARS-CoV-2 strains. Treatment of immunocompromised mice with two doses (100 μL/dose) of CCP plasma via intraperitoneal injection reduced lung viral titers by 46-fold 3 days post-XBB.1.5 infection.

conclusionsThese findings will guide future efforts in selecting high-titer CCP for emerging SARS-CoV-2 variants.

Indexed as

Antibodies, ViralCOVID-19Immunocompromised HostSARS-CoV-2AnimalsAntibodies, NeutralizingCOVID-19 SerotherapyEnzyme-Linked Immunosorbent AssayFemaleHumansImmunization, PassiveMaleMiceMiddle AgedAntibodies, NeutralizingAntibodies, Viralcorrelates of protectionimmune evasionneutralizing antibodiesSARS-CoV-2variants of concern

Identifiers

PMID39749487
PMCPMC11998579

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.