Evidence map›Paper›PMID 38711808›Full record

ArticlePNAS nexus2024

Development of a cloud-based flow rate tool for eNAMPT biomarker detection.

Bailey C Buchanan, Yisha Tang, Hannah Lopez, Nancy G Casanova, Joe G N Garcia, Jeong-Yeol Yoon

Abstract read
In one paragraph

Article in PNAS nexus, 2024. 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
–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

2 citing papers in PubMed.

  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

6 authors.

Bailey C BuchananDepartment of Biomedical Engineering, The University of Arizona, 1127 E. James E. Rogers Way, Tucson, AZ 85721, USA.ORCID https://orcid.org/0000-0002-2238-1145
Yisha TangDepartment of Biomedical Engineering, The University of Arizona, 1127 E. James E. Rogers Way, Tucson, AZ 85721, USA.ORCID https://orcid.org/0000-0001-9267-4405
Hannah LopezDepartment of Neuroscience, The University of Arizona, 1040 E. 4th Street, Tucson, AZ 85721, USA.ORCID https://orcid.org/0009-0009-2524-3942
Nancy G CasanovaCenter for Inflammation Science and Systems Medicine, The Herbert Wertheim UF Scripps Research Institute for Biomedical Innovation and Technology, University of Florida, 120 Scripps Way, Jupiter, FL 33458, USA.ORCID https://orcid.org/0000-0002-6363-2414
Joe G N GarciaCenter for Inflammation Science and Systems Medicine, The Herbert Wertheim UF Scripps Research Institute for Biomedical Innovation and Technology, University of Florida, 120 Scripps Way, Jupiter, FL 33458, USA.ORCID https://orcid.org/0000-0002-6934-0420
Jeong-Yeol YoonDepartment of Biomedical Engineering, The University of Arizona, 1127 E. James E. Rogers Way, Tucson, AZ 85721, USA.ORCID https://orcid.org/0000-0002-9720-6472

Funding

Structure-Function Analysis of nmMLCK in EC Barrier ResponsesP01HL126609 · NHLBI · UNIVERSITY OF FLORIDA · PI Joe G. N. Garcia · 2016 to 2026
$24.4M
Novel Involvement of NAMPT and TLR4 in PAH Vascular RemodelingR01HL141387 · NHLBI · UNIVERSITY OF FLORIDA · PI Joe G. N. Garcia, Ayako Makino · 2019 to 2026
$3.8M
NHLBI NIH HHS P01 HL126609NHLBI NIH HHS R01 HL141387
6 · The paper itself

Abstract

Increased levels of extracellular nicotinamide phosphoribosyltransferase (eNAMPT) are increasingly recognized as a highly useful biomarker of inflammatory disease and disease severity. In preclinical animal studies, a monoclonal antibody that neutralizes eNAMPT has been generated to successfully reduce the extent of inflammatory cascade activation. Thus, the rapid detection of eNAMPT concentration in plasma samples at the point of care (POC) would be of great utility in assessing the benefit of administering an anti-eNAMPT therapeutic. To determine the feasibility of this POC test, we conducted a particle immunoagglutination assay on a paper microfluidic platform and quantified its extent with a flow rate measurement in less than 1 min. A smartphone and cloud-based Google Colab were used to analyze the flow rates automatically. A horizontal flow model and an immunoagglutination binding model were evaluated to optimize the detection time, sample dilution, and particle concentration. This assay successfully detected eNAMPT in both human whole blood and plasma samples (diluted to 10 and 1%), with the limit of detection of 1-20 pg/mL (equivalent to 0.1-0.2 ng/mL in undiluted blood and plasma) and a linear range of 5-40 pg/mL. Furthermore, the smartphone POC assay distinguished clinical samples with low, mid, and high eNAMPT concentrations. Together, these results indicate this POC assay, which utilizes low-cost materials, time-effective methods, and a straightforward immunoassay (without surface immobilization), may reliably allow rapid determination of eNAMPT blood/plasma levels to advantage patient stratification in clinical trials and guide ALT-100 mAb therapeutic decision-making.

Indexed as

acute respiratory distress syndromecapillary actionGoogle Colabpaper microfluidicssmartphone

Identifiers

PMID38711808
PMCPMC11071447

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Registered trials

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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.