Evidence map›Paper›PMID 40553102›Full record

ArticleInternational forum of allergy & rhinology2025

Accurate Detection of Cerebrospinal Fluid by DNA Aptamers Derived by Clinical Samples.

Xinlei Chen, Arash Abiri, Dana Kadifa, Brandon Latifi, Yana Khetiya, Frank P K Hsu, Mehmet Senel, Andrej Luptak, Michelle Khine, Edward C Kuan

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International forum of allergy & rhinology, 2025. 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
–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

1 citing paper in PubMed.

  1. 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

10 authors.

Xinlei ChenDepartment of Biomedical Engineering, University of California, Irvine, California, USA.ORCID 0009-0002-5828-7027
Arash AbiriDepartment of Biomedical Engineering, University of California, Irvine, California, USA.
Dana KadifaDepartment of Biomedical Engineering, University of California, Irvine, California, USA.
Brandon LatifiDepartment of Pharmaceutical Sciences, University of California, Irvine, California, USA.ORCID 0000-0002-8309-8490
Yana KhetiyaDepartment of Biomedical Engineering, University of California, Irvine, California, USA.
Frank P K HsuDepartment of Neurological Surgery, University of California, Irvine, California, USA.
Mehmet SenelDepartment of Pharmaceutical Sciences, University of California, Irvine, California, USA.
Andrej LuptakDepartment of Pharmaceutical Sciences, University of California, Irvine, California, USA.
Michelle KhineDepartment of Biomedical Engineering, University of California, Irvine, California, USA.
Edward C KuanDepartment of Neurological Surgery, University of California, Irvine, California, USA.ORCID 0000-0003-3475-0718

Funding

American Rhinologic SocietyInternational Society of Inflammation and Allergy of the NoseNorth American Skull Base SocietyUCI Institute for Clinical and Translational ScienceUCI School of Medicine
6 · The paper itself

Abstract

key pointsNovel DNA aptamers CSF-APT-1 and CSF-APT-2 accurately detected cerebrospinal fluid (CSF) in 19 patient samples. Sequencing confirmed CSF-APT-1 and CSF-APT-2 as superior CSF detection probes over other candidates from the same in vitro selection. Use of CSF-APT-1 and CSF-APT-2, which are specific to CSF, may offer improvements in speed and accuracy compared to current CSF diagnostics.

Indexed as

Aptamers, NucleotideCerebrospinal FluidFemaleHumansMaleSELEX Aptamer TechniqueAptamers, Nucleotideaptamerbeta‐2 transferrinbeta‐trace proteinCSF leakpoint of care diagnosticsrhinorrhea

Identifiers

PMID40553102
PMCPMC12401075

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.