ArticleBiosensors & bioelectronics2022
A GMR-based assay for quantification of the human response to influenza.
Article in Biosensors & bioelectronics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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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.
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.
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Who cites it
8 citing papers in PubMed, 18 citations in OpenAlex.
- Interferon-Inducible Gene Upregulation Correlates With Successful Viral Clearance in Patients With BK Polyomavirus-Associated Nephropathy.Kidney international reports · 2026Article
- Integrated Microfluidic Giant Magnetoresistance (GMR) Biosensor Platform for Magnetoresistive Immunoassay of Myoglobin.Biosensors · 2025Article
- The IFN-induced protein IFI27 binds MDA5 and counteracts its activation after SARS-CoV-2 infection.Frontiers in cellular and infection microbiology · 2024Article
- Real-time temperature correction for magnetoresistive biosensors integrated with temperature modulator.Biosensors & bioelectronics: X · 2023Article
- Rapid, Point-of-Care Host-Based Gene Expression Diagnostics Using Giant Magnetoresistive Biosensors.ACS sensors · 2023Article
- Advances in point-of-care genetic testing for personalized medicine applications.Biomicrofluidics · 2023Review
- The IFN-stimulated gene IFI27 counteracts innate immune responses after viral infections by interfering with RIG-I signaling.Frontiers in microbiology · 2023Article
- One-Shot Full-Range Quantification of Multi-Biomarkers With Different Abundance by a Tandem Giant Magnetoresistance Assay.Frontiers in chemistry · 2022Article
Corrections and comments
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Authors and funding
7 authors at 4 institutions in 1 country.
Funding
Abstract
Detecting and quantifying the host transcriptional response to influenza virus infection can serve as a real-time diagnostic tool for clinical management. We have employed the multiplexing capabilities of GMR sensors to develop a novel assay based on the influenza metasignature (IMS), which can classify influenza infection based on transcript levels. We show that the assay can reliably detect ten IMS transcripts and distinguish subjects with naturally acquired influenza infection from those with other symptomatic viral infections (AUC 0.93, 95% CI: 0.82-1.00). Separately, we validated that the gene IFI27, not included in the IMS panel, has very high single-biomarker accuracy (AUC 0.95, 95% CI: 0.90-0.99) in stratifying patients with influenza. We demonstrate that a portable GMR biosensor can be used as a tool to diagnose influenza infection by measuring the host response, simultaneously highlighting the power of immune system metrics and advancing the field of gene expression-based diagnostics.
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Registered trials
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.