Evidence map›Paper›PMID 33275650›Full record

ArticleBlood2021

Rapid single-molecule digital detection of protein biomarkers for continuous monitoring of systemic immune disorders.

Yujing Song, Erin Sandford, Yuzi Tian, Qingtian Yin, Andrew G Kozminski, Shiuan-Haur Su, Tao Cai, Yuxuan Ye, Meng Ting Chung, Ryan Lindstrom and 11 more

Abstract read
In one paragraph

Article in Blood, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

21 authors.

Yujing SongDepartment of Mechanical Engineering.
Erin SandfordDepartment of Internal Medicine, Division of Hematology/Oncology, and.
Yuzi TianDepartment of Surgery, University of Michigan, Ann Arbor, MI.
Qingtian YinDepartment of Mechanical Engineering and Applied Mechanics, University of Pennsylvania, Philadelphia, PA; and.
Andrew G KozminskiDepartment of Mechanical Engineering.
Shiuan-Haur SuDepartment of Mechanical Engineering.
Tao CaiDepartment of Mechanical Engineering.
Yuxuan YeDepartment of Mechanical Engineering.
Meng Ting ChungDepartment of Mechanical Engineering.
Ryan LindstromDepartment of Internal Medicine, Division of Hematology/Oncology, and.
Annika GoicocheaDepartment of Internal Medicine, Division of Hematology/Oncology, and.
Jenny BarabasDepartment of Internal Medicine, Division of Hematology/Oncology, and.
Mary OlesnavichDepartment of Internal Medicine, Division of Hematology/Oncology, and.
Michelle RozwadowskiDepartment of Pediatrics.
Yongqing LiDepartment of Surgery, University of Michigan, Ann Arbor, MI.
Hasan B AlamDepartment of Surgery, University of Michigan, Ann Arbor, MI.
Benjamin H SingerDepartment of Internal Medicine, Division of Pulmonary and Critical Care Medicine.
Monalisa GhoshDepartment of Internal Medicine, Division of Hematology/Oncology, and.
Sung Won ChoiDepartment of Pediatrics.
Muneesh TewariDepartment of Internal Medicine, Division of Hematology/Oncology, and.
Katsuo KurabayashiDepartment of Mechanical Engineering.

Funding

β-Amyloid Potentiates Neuroinflammation and Cognitive Decline After Sepsis SurvivalK08NS101054 · NINDS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SINGER, BENJAMIN HERSCHEL · 2017 to 2021
$1.0M
NINDS NIH HHS K08 NS101054
6 · The paper itself

Abstract

Digital protein assays have great potential to advance immunodiagnostics because of their single-molecule sensitivity, high precision, and robust measurements. However, translating digital protein assays to acute clinical care has been challenging because it requires deployment of these assays with a rapid turnaround. Herein, we present a technology platform for ultrafast digital protein biomarker detection by using single-molecule counting of immune-complex formation events at an early, pre-equilibrium state. This method, which we term "pre-equilibrium digital enzyme-linked immunosorbent assay" (PEdELISA), can quantify a multiplexed panel of protein biomarkers in 10 µL of serum within an unprecedented assay incubation time of 15 to 300 seconds over a 104 dynamic range. PEdELISA allowed us to perform rapid monitoring of protein biomarkers in patients manifesting post-chimeric antigen receptor T-cell therapy cytokine release syndrome, with ∼30-minute sample-to-answer time and a sub-picograms per mL limit of detection. The rapid, sensitive, and low-input volume biomarker quantification enabled by PEdELISA is broadly applicable to timely monitoring of acute disease, potentially enabling more personalized treatment.

Indexed as

Point-of-Care TestingBiomarkersBlood ProteinsCytokinesEnzyme-Linked Immunosorbent AssayEquipment DesignHumansImmune System DiseasesBiomarkersBlood ProteinsCytokines

Identifiers

PMID33275650
PMCPMC8065241

What OpenQuestion holds

Textmetadata
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.