Evidence map›Paper›PMID 29533646›Full record

ArticleACS nano2018

Integrated Biosensor for Rapid and Point-of-Care Sepsis Diagnosis.

Jouha Min, Maria Nothing, Ben Coble, Hui Zheng, Jongmin Park, Hyungsoon Im, Georg F Weber, Cesar M Castro, Filip K Swirski, Ralph Weissleder and 1 more

Open access · greenAbstract read
In one paragraph

Article in ACS nano, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed, 1 pooled it
8.9field-weighted citation impact, top 1% 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

52 citing papers in PubMed, 1 synthesis or guideline pooled it, 149 citations in OpenAlex.

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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

11 authors at 3 institutions in 2 countries.

Maria NothingDepartment of Surgery , University Hospital of Erlangen , 91054 Erlangen , Germany.
Ben Coble
Hui Zheng
Georg F WeberDepartment of Surgery , University Hospital of Erlangen , 91054 Erlangen , Germany.
Cesar M Castro
Filip K Swirski
Ralph WeisslederDepartment of Systems Biology , Harvard Medical School , Boston , Massachusetts 02115 , United States.ORCID 0000-0003-0828-4143
Massachusetts General Hospital · USUniversitätsklinikum Erlangen · DEHarvard University · US

Funding

The role of microvesicles in giloma virotherapyP01CA069246 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI BREAKEFIELD, XANDRA OWENS · 1996 to 2021
$30.9M
Training Grant in Molecular Imaging Research (MGH/HMS)T32CA079443 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI WEISSLEDER, MD, PHD, RALPH · 2000 to 2025
$10.1M
Magnetic nanoswitches for sensing biomoleculesR01EB004626 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI WEISSLEDER, MD, PHD, RALPH · 2004 to 2012
$3.2M
Novel Clickdyes for Biomedical SensingR01EB010011 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI WEISSLEDER, MD, PHD, RALPH · 2010 to 2017
$3.1M
MAGNETIC NANOSENSORS FOR BIOMEDICAL ANALYSES OF MICROVESICLESR01HL113156 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI LEE, HAKHO · 2012 to 2016
$2.1M
Multiplexed analysis of exosomes in cancer nano therapyR01CA204019 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI WEISSLEDER, MD, PHD, RALPH · 2016 to 2020
$1.9M
Novel Nano-Plasmonic Technology for Quantitative Analysis of Cancer ExosomesR00CA201248 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI IM, HYUNGSOON · 2017 to 2019
$968k
Multiplexed exosome analyses with DNA barcodingR21CA205322 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI LEE, HAKHO · 2016 to 2017
$440k
Novel nano-plasmonic technology for quantitative analysis of cancer exosomesK99CA201248 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI IM, HYUNGSOON · 2015 to 2016
$329k
NCI NIH HHS K99 CA201248NCI NIH HHS P01 CA069246NCI NIH HHS R00 CA201248NCI NIH HHS R01 CA204019NCI NIH HHS R21 CA205322NCI NIH HHS T32 CA079443NHLBI NIH HHS R01 HL113156NIBIB NIH HHS R01 EB004626NIBIB NIH HHS R01 EB010011
6 · The paper itself

Abstract

Sepsis is an often fatal condition that arises when the immune response to an infection causes widespread systemic organ injury. A critical unmet need in combating sepsis is the lack of accurate early biomarkers that produce actionable results in busy clinical settings. Here, we report the development of a point-of-care platform for rapid sepsis detection. Termed IBS (integrated biosensor for sepsis), our approach leverages (i) the pathophysiological role of cytokine interleukin-3 (IL-3) in early sepsis and (ii) a hybrid magneto-electrochemical sensor for IL-3 detection. The developed platform produces test results within 1 h from native blood samples and detects IL-3 at a sensitivity of <10 pg/mL; this performance is >5-times faster and >10-times more sensitive than conventional enzyme-linked immunoadsorbent assays, the current gold standard. Using clinical samples, we show that elevated plasma IL-3 levels are associated with high organ failure rate and thus greater risk of mortality, confirming the potential of IL-3 as a sepsis diagnostic biomarker. With further system development ( e. g., full automation, data security measures) and rigorous validation studies, the compact and fast IBS could be a practical clinical tool for timely diagnosis and proactive treatment of sepsis.

Indexed as

Biosensing TechniquesPoint-of-Care SystemsEnzyme-Linked Immunosorbent AssayHumansSepsiselectrochemical sensingIL-3organ failurepoint-of-caresepsis

Identifiers

PMID29533646
PMCPMC6019292
OpenAlexW2792910804

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.