Evidence map›Paper›PMID 37790251›Full record

ArticleFrontiers in bioengineering and biotechnology2023

A dual-binding magnetic immunoassay to predict spontaneous preterm birth.

Michael Sveiven, Andrew Gassman, Joshua Rosenberg, Matthew Chan, Jay Boniface, Anthony J O'Donoghue, Louise C Laurent, Drew A Hall

Open access · goldAbstract read
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 33% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. A GMR enzymatic assay for quantifying nuclease and peptidase activity.Frontiers in bioengineering and biotechnology · 2024
    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

8 authors at 2 institutions in 1 country.

Michael SveivenDepartment of Bioengineering, University of California, San Diego, La Jolla, CA, United States.
Andrew GassmanSera Prognostics, Inc., Salt Lake City, UT, United States.
Joshua RosenbergDepartment of Electrical and Computer Engineering, University of California, San Diego, La Jolla, CA, United States.
Matthew ChanDepartment of Electrical and Computer Engineering, University of California, San Diego, La Jolla, CA, United States.
Jay BonifaceSera Prognostics, Inc., Salt Lake City, UT, United States.
Anthony J O'DonoghueSkaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, La Jolla, CA, United States.
Louise C LaurentDepartment of Obstetrics, Gynecology, and Reproductive Sciences, University of California, San Diego, La Jolla, CA, United States.
Drew A HallDepartment of Bioengineering, University of California, San Diego, La Jolla, CA, United States.
University of California San Diego · USLa Jolla Bioengineering Institute · US

Funding

UC San Diego Clinical and Translational Research InstituteUL1TR001442 · NCATS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI FIRESTEIN, GARY S, HOGARTH, MICHAEL · 2015 to 2024
$88.3M
Point-of-Care Quantitation of Sputum Neutrophil Elastase Activity in Chronic Airway DiseaseR21EB028485 · NIBIB · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI HALL, DREW ALEXANDER, O'DONOGHUE, ANTHONY JOHN · 2019 to 2021
$631k
Magnetic nanosensors for real-time non-invasive biomarker detection in pregnancyR21HD094359 · NICHD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI HALL, DREW ALEXANDER, LAURENT, LOUISE CHANG · 2018 to 2019
$433k
NCATS NIH HHS UL1 TR001442NIBIB NIH HHS R21 EB028485NICHD NIH HHS R21 HD094359
6 · The paper itself

Abstract

Complications posed by preterm birth (delivery before 37 weeks of pregnancy) are a leading cause of newborn morbidity and mortality. The previous discovery and validation of an algorithm that includes maternal serum protein biomarkers, sex hormone-binding globulin (SHBG), and insulin-like growth factor-binding protein 4 (IBP4), with clinical factors to predict preterm birth represents an opportunity for the development of a widely accessible point-of-care assay to guide clinical management. Toward this end, we developed SHBG and IBP4 quantification assays for maternal serum using giant magnetoresistive (GMR) sensors and a self-normalizing dual-binding magnetic immunoassay. The assays have a picomolar limit of detections (LOD) with a relatively broad dynamic range that covers the physiological level of the analytes as they change throughout gestation. Measurement of serum from pregnant donors using the GMR assays was highly concordant with those obtained using a clinical mass spectrometry (MS)-based assay for the same protein markers. The MS assay requires capitally intense equipment and highly trained operators with a few days turnaround time, whereas the GMR assays can be performed in minutes on small, inexpensive instruments with minimal personnel training and microfluidic automation. The potential for high sensitivity, accuracy, and speed of the GMR assays, along with low equipment and personnel requirements, make them good candidates for developing point-of-care tests. Rapid turnaround risk assessment for preterm birth would enable patient testing and counseling at the same clinic visit, thereby increasing the timeliness of recommended interventions.

Indexed as

giant magnetoresistive sensorGMRIBP4insulin-like growth factor-binding protein 4point-of-care testingpreterm birthsex hormone-binding globulinSHBG

Identifiers

PMID37790251
PMCPMC10542577
OpenAlexW4386700059

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.