Evidence map›Paper›PMID 36844502›Full record

ArticleACS central science2023

Nanopore Discrimination of Coagulation Biomarker Derivatives and Characterization of a Post-Translational Modification.

Aïcha Stierlen, Sandra J Greive, Laurent Bacri, Philippe Manivet, Benjamin Cressiot, Juan Pelta

Abstract read
In one paragraph

Article in ACS central science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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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

6 authors.

Aïcha StierlenLAMBE, CNRS, CY Cergy Paris Université, 95033 Cergy, France.
Sandra J GreiveDreamPore S.A.S., 33 Boulevard du Port, 95000 Cergy, France.
Laurent BacriLAMBE, CNRS, Univ Evry, Université Paris-Saclay, 91025 Evry-Courcouronnes, France.ORCID https://orcid.org/0000-0002-1763-2456
Philippe ManivetCentre de Ressources Biologiques Biobank Lariboisière (BB-0033-00064), DMU BioGem, AP-HP, 75475 Paris, France.
Benjamin CressiotLAMBE, CNRS, CY Cergy Paris Université, 95033 Cergy, France.ORCID https://orcid.org/0000-0001-9319-3152
Juan PeltaLAMBE, CNRS, CY Cergy Paris Université, 95033 Cergy, France.ORCID https://orcid.org/0000-0002-1896-4137

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

One of the most important health challenges is the early and ongoing detection of disease for prevention, as well as personalized treatment management. Development of new sensitive analytical point-of-care tests are, therefore, necessary for direct biomarker detection from biofluids as critical tools to address the healthcare needs of an aging global population. Coagulation disorders associated with stroke, heart attack, or cancer are defined by an increased level of the fibrinopeptide A (FPA) biomarker, among others. This biomarker exists in more than one form: it can be post-translationally modified with a phosphate and also cleaved to form shorter peptides. Current assays are long and have difficulties in discriminating between these derivatives; hence, this is an underutilized biomarker for routine clinical practice. We use nanopore sensing to identify FPA, the phosphorylated FPA, and two derivatives. Each of these peptides is characterized by unique electrical signals for both dwell time and blockade level. We also show that the phosphorylated form of FPA can adopt two different conformations, each of which have different values for each electrical parameter. We were able to use these parameters to discriminate these peptides from a mix, thereby opening the way for the potential development of new point-of-care tests.

Identifiers

PMID36844502
PMCPMC9951287

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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.