Evidence map›Paper›PMID 37312418›Full record

ArticleSmall methods2023

Microfluidic Immuno-Serolomic Assay Reveals Systems Level Association with COVID-19 Pathology and Vaccine Protection.

Dongjoo Kim, Giulia Biancon, Zhiliang Bai, Jennifer VanOudenhove, Yuxin Liu, Shalin Kothari, Lohith Gowda, Jennifer M Kwan, Nicholas Carlos Buitrago-Pocasangre, Nikhil Lele and 10 more

Open access · hybridAbstract read
In one paragraph

Article in Small methods, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.4field-weighted citation impact, top 20% of its field
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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. 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

20 authors at 3 institutions in 1 country.

Dongjoo KimDepartment of Biomedical Engineering, Yale University, New Haven, CT, 06520, USA.
Giulia BianconSection of Hematology, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, 06520, USA.
Zhiliang BaiDepartment of Biomedical Engineering, Yale University, New Haven, CT, 06520, USA.
Jennifer VanOudenhoveSection of Hematology, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, 06520, USA.
Yuxin LiuSection of Hematology, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, 06520, USA.
Shalin KothariSection of Hematology, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, 06520, USA.
Lohith GowdaSection of Hematology, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, 06520, USA.
Jennifer M KwanCardiovascular Medicine, Yale School of Medicine, New Haven, CT, 06520, USA.
Nicholas Carlos Buitrago-PocasangreDepartment of Neurology, Yale University, New Haven, CT, 06520, USA.
Nikhil LeleDepartment of Neurology, Yale University, New Haven, CT, 06520, USA.
Hiromitsu AsashimaDepartment of Neurology, Yale University, New Haven, CT, 06520, USA.
Michael K RackeQuest Diagnostics, Secaucus, NJ, 07094, USA.
JoDell E WilsonQuest Diagnostics, Secaucus, NJ, 07094, USA.
Tara S GivensQuest Diagnostics, Secaucus, NJ, 07094, USA.
Mary M TomaykoDepartments of Dermatology, Yale University, New Haven, CT, 06520, USA.
Wade L SchulzDepartment of Laboratory Medicine, Yale School of Medicine, New Haven, CT, 06520, USA.
Erin E LongbrakeDepartment of Neurology, Yale University, New Haven, CT, 06520, USA.
David A HaflerDepartment of Neurology, Yale University, New Haven, CT, 06520, USA.
Stephanie HaleneSection of Hematology, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, 06520, USA.
Rong FanDepartment of Biomedical Engineering, Yale University, New Haven, CT, 06520, USA.ORCID 0000-0001-7805-8059
Yale University · USQuest Diagnostics (United States) · USYale Cancer Center · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Immuno-Serological Assays for Monitoring COVID19 in Patients with Hematologic MalignanciesU01CA260507 · NCI · YALE UNIVERSITY · PI FAN, RONG, HALENE, STEPHANIE · 2020 to 2024
$3.5M
NCATS NIH HHS UL1 TR001863NCI NIH HHS U01 CA260507NIH HHS 1U01CA260507
6 · The paper itself

Abstract

How to develop highly informative serology assays to evaluate the quality of immune protection against coronavirus disease-19 (COVID-19) has been a global pursuit over the past years. Here, a microfluidic high-plex immuno-serolomic assay is developed to simultaneously measure50 plasma or serum samples for50 soluble markers including 35proteins, 11 anti-spike/receptor binding domian (RBD) IgG antibodies spanningmajor variants, and controls. This assay demonstrates the quintuplicate test in a single run with high throughput, low sample volume, high reproducibilityand accuracy. It is applied to the measurement of 1012 blood samples including in-depth analysis of sera from 127 patients and 21 healthy donors over multiple time points, either with acute COVID infection or vaccination. The protein analysis reveals distinct immune mediator modules that exhibit a reduced degree of diversity in protein-protein cooperation in patients with hematologic malignancies or receiving B cell depletion therapy. Serological analysis identifies that COVID-infected patients with hematologic malignancies display impaired anti-RBD antibody response despite high level of anti-spike IgG, which can be associated with limited clonotype diversity and functional deficiency in B cells. These findings underscore the importance to individualize immunization strategies for these high-risk patients and provide an informative tool to monitor their responses at the systems level.

Indexed as

COVID-19Hematologic NeoplasmsVaccinesHumansImmunoglobulin GMicrofluidicsImmunoglobulin GVaccinesautoimmune diseasesCOVID-19hematologic malignanciesimmuno-serolomic assaysmicrofluidicssingle-cell sequencing

Identifiers

PMID37312418
PMCPMC10592458
OpenAlexW4380577413

What OpenQuestion holds

Textmetadata
LicenceTDM
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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.