ArticleThe Analyst2019
Multiplexing cytokine analysis: towards reducing sample volume needs in clinical diagnostics.
Article in The Analyst, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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.
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.
Who cites it
4 citing papers in PubMed, 7 citations in OpenAlex.
- Immune-monitoring of myelodysplastic neoplasms: Recommendations from the i4MDS consortium.HemaSphere · 2024Article
- Clinical significance of measuring serum cytokine levels as inflammatory biomarkers in adult and pediatric COVID-19 cases: A review.Cytokine · 2021Review
- Coelenterazine-Dependent Luciferases as a Powerful Analytical Tool for Research and Biomedical Applications.International journal of molecular sciences · 2020Review
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
The trend for improved more precise diagnostics and management of disease heavily relies on the measurement of panels of biomarkers in physiological samples of patients. Ideally, the ultimate goal would be to detect as many clinically relevant biomarkers as possible in a single drop of blood, achieving quick, sensitive, reproducible, and affordable detection in small volume physiological samples. Bioluminescent (BL) proteins provide many of the desired characteristics required for such labels, including detection at extremely low concentrations, no interference from physiological fluids leading to excellent detection limits, and compatibility with many miniaturized systems. However, to date the use of BL proteins has been restricted by their limited multiplexing capabilities. BL proteins typically exhibit a single emission profile and decay kinetics making the simultaneous detection of multiple analytes difficult. Recent progresses in this area include the use of two different engineered luminescent proteins to achieve resolved signals via one-dimensional time resolution. This approach, however, to date only lead to a dual analyte detection. Herein, we have demonstrated that using a two-dimensional approach that combines both temporal and spatial resolution, we can expand the multiplexing capabilities of bioluminescent proteins. To that end, the photoprotein aequorin (AEQ) has been employed for the simultaneous detection of three separate analytes in a single well, differentiated through the use of three discrete time/wavelength windows. Through a combination of site-specific mutations and synthetic coelenterazines "semi-synthetic" AEQ variants have been developed with altered emission profiles and decay kinetics. In this study, two AEQ mutant proteins were genetically conjugated to three pro-inflammatory cytokines (tumor necrosis factor alpha, interleukins 6 and 8) resulting in AEQ-labeled cytokines. These fusion proteins were combined with synthetic coelenterazines resulting in proteins with differing emission maxima and half-lives to allow for the simultaneous detection of all three cytokines in a single sample. The validity of the assay was demonstrated in serum by employing human physiological samples and comparing our results with commercially available individual tests for each of the three cytokines.
Indexed as
Identifiers
What OpenQuestion holds
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.