Evidence map›Paper›PMID 33647790›Full record

ArticleBiosensors & bioelectronics2021

Machine learning-based cytokine microarray digital immunoassay analysis.

Yujing Song, Jingyang Zhao, Tao Cai, Andrew Stephens, Shiuan-Haur Su, Erin Sandford, Christopher Flora, Benjamin H Singer, Monalisa Ghosh, Sung Won Choi and 2 more

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biosensors & bioelectronics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
3.2field-weighted citation impact, top 8% 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

21 citing papers in PubMed, 56 citations in OpenAlex.

  1. Article
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  11. CAR-NKT Cells in Asthma: Use of NKT as a Promising Cell for CAR Therapy.Clinical reviews in allergy & immunology · 2024
    Review
  12. The Mystery of Homochirality on Earth.Life (Basel, Switzerland) · 2024
    Review
  13. Article
  14. Review
  15. Article
  16. High frequency of hyperglycaemia observed during CAR T-cell treatment.Diabetic medicine : a journal of the British Diabetic Association · 2023
    Article
  17. Review
  18. Article
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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 at 2 institutions in 2 countries.

Yujing SongDepartment of Mechanical Engineering, University of Michigan, Ann Arbor, MI, 48109, USA.
Jingyang ZhaoDepartment of Energy Engineering, Zhejiang University, Hangzhou, Zhejiang, 310027, China.
Tao CaiDepartment of Mechanical Engineering, University of Michigan, Ann Arbor, MI, 48109, USA.
Andrew StephensDepartment of Mechanical Engineering, University of Michigan, Ann Arbor, MI, 48109, USA.
Shiuan-Haur SuDepartment of Mechanical Engineering, University of Michigan, Ann Arbor, MI, 48109, USA.
Erin SandfordDepartment of Internal Medicine, Division of Hematology/Oncology, University of Michigan, Ann Arbor, MI, 48109, USA.
Christopher FloraDepartment of Internal Medicine, Division of Hematology/Oncology, University of Michigan, Ann Arbor, MI, 48109, USA.
Benjamin H SingerDepartment of Internal Medicine, Division of Pulmonary and Critical Care Medicine, University of Michigan, Ann Arbor, MI, 48109, USA; Michigan Center for Integrative Research in Critical Care, University of Michigan, Ann Arbor, MI, 48109, USA.
Monalisa GhoshDepartment of Internal Medicine, Division of Hematology/Oncology, University of Michigan, Ann Arbor, MI, 48109, USA.
Sung Won ChoiMichigan Center for Integrative Research in Critical Care, University of Michigan, Ann Arbor, MI, 48109, USA; Department of Pediatrics, University of Michigan, Ann Arbor, MI, 48109, USA; Rogel Comprehensive Cancer Center, University of Michigan, Ann Arbor, MI, 48109, USA.
Muneesh TewariDepartment of Internal Medicine, Division of Hematology/Oncology, University of Michigan, Ann Arbor, MI, 48109, USA; Rogel Comprehensive Cancer Center, University of Michigan, Ann Arbor, MI, 48109, USA; Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, 48109, USA; Center for Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, 48109, USA.
Katsuo KurabayashiDepartment of Mechanical Engineering, University of Michigan, Ann Arbor, MI, 48109, USA; Michigan Center for Integrative Research in Critical Care, University of Michigan, Ann Arbor, MI, 48109, USA; Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, 48109, USA. Electronic address: katsuo@umich.edu.
University of Michigan · USZhejiang Energy Research Institute · CN

Funding

Training Program in Molecular HematologyT32HL007622 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SUNG WON CHOI, Jordan A. Shavit · 1986 to 2026
$9.2M
Phase I/II clinical trial of HDAC inhibition for GVHD prevention in children, adolescents, and young adultsR01CA249211 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CHOI, SUNG WON · 2020 to 2024
$2.2M
Roadmap 2.0: A randomized controlled trial using a technology-mediated platform in family caregivers of BMT patientsR01HL146354 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CHOI, SUNG WON · 2019 to 2023
$1.8M
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
Patient-Oriented Research and Mentoring in Hematopoietic Cell TransplantationK24HL156896 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SUNG WON CHOI · 2021 to 2026
$870k
NCI NIH HHS R01 CA249211NHLBI NIH HHS K24 HL156896NHLBI NIH HHS R01 HL146354NHLBI NIH HHS T32 HL007622NINDS NIH HHS K08 NS101054
6 · The paper itself

Abstract

Serial measurement of a large panel of protein biomarkers near the bedside could provide a promising pathway to transform the critical care of acutely ill patients. However, attaining the combination of high sensitivity and multiplexity with a short assay turnaround poses a formidable technological challenge. Here, the authors develop a rapid, accurate, and highly multiplexed microfluidic digital immunoassay by incorporating machine learning-based autonomous image analysis. The assay has achieved 12-plexed biomarker detection in sample volume <15 μL at concentrations < 5 pg/mL while only requiring a 5-min assay incubation, allowing for all processes from sampling to result to be completed within 40 min. The assay procedure applies both a spatial-spectral microfluidic encoding scheme and an image data analysis algorithm based on machine learning with a convolutional neural network (CNN) for pre-equilibrated single-molecule protein digital counting. This unique approach remarkably reduces errors facing the high-capacity multiplexing of digital immunoassay at low protein concentrations. Longitudinal data obtained for a panel of 12 serum cytokines in human patients receiving chimeric antigen receptor-T (CAR-T) cell therapy reveals the powerful biomarker profiling capability. The assay could also be deployed for near-real-time immune status monitoring of critically ill COVID-19 patients developing cytokine storm syndrome.

Indexed as

Machine LearningSARS-CoV-2COVID-19Cytokine Release SyndromeCytokinesHumansImage Processing, Computer-AssistedImmunoassayImmunotherapy, AdoptiveMicroarray AnalysisMicrofluidic Analytical TechniquesNeural Networks, ComputerCytokinesCAR-T therapyCytokine release syndromeMachine learningMicrofluidic digital immunoassayMultiplex biomarker detection

Identifiers

PMID33647790
PMCPMC7896497
OpenAlexW3130178892

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.