Evidence map›Paper›PMID 26408791›Full record

ReviewAdvanced drug delivery reviews2015

Label-free cytokine micro- and nano-biosensing towards personalized medicine of systemic inflammatory disorders.

Pengyu Chen, Nien-Tsu Huang, Meng-Ting Chung, Timothy T Cornell, Katsuo Kurabayashi

Abstract readReview
In one paragraph

Review in Advanced drug delivery reviews, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

33 citing papers in PubMed, 68 citations in OpenAlex.

  1. Review
  2. Decoding Pain: Next-Generation In Vitro Systems for Mechanistic Insights and Drug Discovery.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2025
    Review
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  12. Loneliness: An Immunometabolic Syndrome.International journal of environmental research and public health · 2021
    Review
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  14. Review
  15. 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

5 authors at 2 institutions in 2 countries.

Pengyu ChenUniversity of Michigan, College of Engineering, Department of Mechanical Engineering, USA.
Nien-Tsu HuangNational Taiwan University, Graduate Institute of Biomedical Electronics and Bioinformatics, Department of Electrical Engineering, Taiwan.
Meng-Ting ChungUniversity of Michigan, College of Engineering, Department of Mechanical Engineering, USA.
Timothy T CornellUniversity of Michigan Medical School, Department of Pediatrics and Communicable Diseases, USA.
Katsuo KurabayashiUniversity of Michigan, College of Engineering, Department of Mechanical Engineering, USA; University of Michigan, College of Engineering, Department of Electrical Engineering and Computer Science, USA. Electronic address: katsuo@umich.edu.
University of Michigan–Ann Arbor · USNational Taiwan University · TW

Funding

Microfluidic Functional Immunophenotyping of Pediatric Patients Following CardiopR01HL119542 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CORNELL, TIMOTHY T, FU, JIANPING · 2014 to 2017
$2.7M
NHLBI NIH HHS R01 HL119542NHLBI NIH HHS R01 HL119542-01A1
6 · The paper itself

Abstract

Systemic inflammatory disorders resulting from infection, trauma, surgery, and severe disease conditions pose serious threats to human health leading to organ dysfunction, organ failure, and mortality. The highly complex and dynamic nature of the immune system experiencing acute inflammation makes immunomodulatory therapy blocking pro-inflammatory cytokines very challenging. Successful therapy requires the ability to determine appropriate anti-cytokine drugs to be delivered at a right dose in a timely manner. Label-free micro- and nano-biosensors hold the potential to overcome the current challenges, enabling cytokine-targeted treatments to be tailored according to the immune status of an individual host with their unique cytokine biomarker detection capabilities. This review studies the recent progress in label-free cytokine biosensors, summarizes their performances and potential merits, and discusses future directions for their advancements to meet challenges towards personalized anti-cytokine drug delivery.

Indexed as

Biosensing TechniquesCytokinesHumansImmunoassayInflammationMicrofluidicsNanomedicinePrecision MedicineCytokinesAnti-Cytokine Drug DeliveryField Effect Transistor NanowireLabel-free BiosensorsMicrocantileverMicrofluidicsOptical ResonatorPersonalized MedicinePro-inflammatory CytokineSurface Plasmon Resonance

Identifiers

PMID26408791
PMCPMC4663157
OpenAlexW1779148422

What OpenQuestion holds

Textmetadata
LicenceTDM
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.