Evidence map›Paper›PMID 38787940›Full record

ArticleScience advances2024

Longitudinal plasma proteomic analysis of 1117 hospitalized patients with COVID-19 identifies features associated with severity and outcomes.

Arthur Viode, Kinga K Smolen, Patrick van Zalm, David Stevenson, Meenakshi Jha, Kenneth Parker, IMPACC Network‡, Ofer Levy, Judith A Steen, Hanno Steen

Abstract read
In one paragraph

Article in Science advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Viral Prognosis Using Proteomics.Advances in experimental medicine and biology · 2026
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Utility of Protein Markers in COVID-19 Patients.International journal of molecular sciences · 2025
    Review
  18. Article
  19. Article
  20. 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

10 authors.

Arthur ViodeDepartment of Pathology, Boston Children's Hospital, Boston, MA, USA.ORCID 0000-0002-3418-734X
Kinga K SmolenHarvard Medical School, Boston, MA, USA.ORCID 0000-0001-8650-3693
Patrick van ZalmDepartment of Pathology, Boston Children's Hospital, Boston, MA, USA.ORCID 0000-0002-0806-3685
David StevensonDepartment of Pathology, Boston Children's Hospital, Boston, MA, USA.
Meenakshi JhaDepartment of Pathology, Boston Children's Hospital, Boston, MA, USA.ORCID 0000-0001-6093-871X
Kenneth ParkerDepartment of Pathology, Boston Children's Hospital, Boston, MA, USA.ORCID 0000-0002-6282-2478
IMPACC Network‡
Ofer LevyHarvard Medical School, Boston, MA, USA.ORCID 0000-0002-5859-1945
Judith A SteenHarvard Medical School, Boston, MA, USA.ORCID 0000-0002-8167-0772
Hanno SteenDepartment of Pathology, Boston Children's Hospital, Boston, MA, USA.ORCID 0000-0003-0179-6648

Funding

Using a tonsil organoid system to probe conditions for the induction of protective antibody and T cell responses to influenza.U19AI057229 · NIAID · STANFORD UNIVERSITY · PI Mark Morris Davis · 2003 to 2026
$88.5M
Translation of immunologic technologies from basic research into pre-clinical nonU19AI062629 · NIAID · OKLAHOMA MEDICAL RESEARCH FOUNDATION · PI COGGESHALL, KENNETH MARK · 2004 to 2023
$56.2M
Systems investigation of vaccine responses in B cell depleted autoimmune patientsU19AI089992 · NIAID · YALE UNIVERSITY · PI Albert C Shaw · 2010 to 2026
$50.4M
Project 3 - Ex vivo immune profiling of dengue viruses and vaccinesU19AI118610 · NIAID · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI HARRIS, EVA · 2015 to 2021
$46.6M
Systems Biological Analysis of Innate and Adaptive Responses to VaccinationU19AI090023 · NIAID · EMORY UNIVERSITY · PI AHMED, RAFI, LI, SHUZHAO · 2010 to 2021
$45.0M
Understanding Asthma EndotypesU19AI077439 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI PRESCOTT G WOODRUFF · 2008 to 2026
$41.1M
Transcriptomics to define biomarkers of neonatal vaccine immunogenicityU19AI118608 · NIAID · BOSTON CHILDREN'S HOSPITAL · PI LEVY, OFER · 2017 to 2021
$24.7M
Tollip inhibits IL-33 signaling during airway influenza virus infectionU19AI125357 · NIAID · UNIVERSITY OF ARIZONA · PI KRAFT, MONICA, VERCELLI, DONATA · 2016 to 2025
$14.7M
Project 3: Mapping the Evolution of Chronic Transplant Injury in the Context of CMV InfectionU19AI128913 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI REED, ELAINE F, SARWAL, MINNIE M · 2017 to 2021
$11.2M
The contribution of GPCRs to thymocyte medullary entry and central toleranceR01AI104870 · NIAID · UNIVERSITY OF TEXAS AT AUSTIN · PI Lauren Ilyse Richie EHRLICH · 2014 to 2026
$7.6M
Investigating the impact of helminth infection on microbioma composition and innate immunity generated during HepB vaccination. U19AI128910 · NIAID · DREXEL UNIVERSITY · PI HADDAD, ELIAS K · 2017 to 2021
$7.0M
Project 3 - Lymph NodesU54AI142766 · NIAID · UNIVERSITY OF FLORIDA · PI BODENMILLER, BERND · 2018 to 2021
$6.9M
NIAID NIH HHS R01 AI104870NIAID NIH HHS R01 AI135803NIAID NIH HHS R01 AI145835NIAID NIH HHS U19 AI057229NIAID NIH HHS U19 AI062629NIAID NIH HHS U19 AI077439NIAID NIH HHS U19 AI089992NIAID NIH HHS U19 AI090023NIAID NIH HHS U19 AI118608NIAID NIH HHS U19 AI118610NIAID NIH HHS U19 AI125357NIAID NIH HHS U19 AI128910NIAID NIH HHS U19 AI128913NIAID NIH HHS U24 AI152179NIAID NIH HHS U54 AI142766NIA NIH HHS R01 AG071858
6 · The paper itself

Abstract

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection is characterized by highly heterogeneous manifestations ranging from asymptomatic cases to death for still incompletely understood reasons. As part of the IMmunoPhenotyping Assessment in a COVID-19 Cohort study, we mapped the plasma proteomes of 1117 hospitalized patients with COVID-19 from 15 hospitals across the United States. Up to six samples were collected within ~28 days of hospitalization resulting in one of the largest COVID-19 plasma proteomics cohorts with 2934 samples. Using perchloric acid to deplete the most abundant plasma proteins allowed for detecting 2910 proteins. Our findings show that increased levels of neutrophil extracellular trap and heart damage markers are associated with fatal outcomes. Our analysis also identified prognostic biomarkers for worsening severity and death. Our comprehensive longitudinal plasma proteomics study, involving 1117 participants and 2934 samples, allowed for testing the generalizability of the findings of many previous COVID-19 plasma proteomics studies using much smaller cohorts.

Indexed as

BiomarkersCOVID-19HospitalizationProteomeProteomicsSARS-CoV-2AdultAgedBlood ProteinsFemaleHumansLongitudinal StudiesMaleMiddle AgedPrognosisSeverity of Illness IndexBiomarkersBlood ProteinsProteome

Identifiers

PMID38787940
PMCPMC11122669

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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.