Evidence map›Paper›PMID 40678968›Full record

ArticleAnalytical methods : advancing methods and applications2025

Isolation and detection of target cells in blood

McKenna M McKay, Kensington H Fansler, Ke Liu, Dimitri Pappas

Abstract read
In one paragraph

Article in Analytical methods : advancing methods and applications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

McKenna M McKayDepartment of Chemistry & Biochemistry, Texas Tech University, USA. d.pappas@ttu.edu.ORCID 0009-0000-7284-8033
Kensington H FanslerDepartment of Chemistry & Biochemistry, Texas Tech University, USA. d.pappas@ttu.edu.
Ke LiuNaMi Diagnsotics, LLC, USA.
Dimitri PappasDepartment of Chemistry & Biochemistry, Texas Tech University, USA. d.pappas@ttu.edu.ORCID 0000-0002-5725-4816

Funding

Development of A Novel Nanoparticle Biosensor for Rapid, Point-of-Care Sepsis Diagnosis and Risk AssessmentR43AI174456 · NIAID · NAMI DIAGNOSTICS LLC · PI LIU, KE · 2023 to 2023
$224k
NIAID NIH HHS R43 AI174456
6 · The paper itself

Abstract

The identification and quantification of cells in blood can serve to inform disease diagnosis and prognosis for patients. However, sample complexity presents a challenge for achieving sensitive and specific detection methods. Furthermore, there is a need to alleviate current standard clinical protocols from operator burden, limit the required sample volumes, and to reduce analysis timescales, all while maintaining sensitivity. This study presents a novel atomic emission cytometry assay for the detection of cells in blood with high specificity and sensitivity (LOD = 84 cells per μL), requiring only 500 μL sample volume and 1 hour of combined processing and analysis time, exhibiting the potential for broad applications in disease diagnosis. Metal nanoparticles equipped with antibodies serve as a targeted cell labeling platform, as well as an integrated method for immunomagnetic separation and subsequent quantification

Indexed as

Immunomagnetic SeparationSpectrophotometry, AtomicHumansLimit of DetectionMetal Nanoparticles

Identifiers

PMID40678968
PMCPMC13183383

What OpenQuestion holds

Textmetadata
LicenceTDM
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.