Evidence map›Paper›PMID 41708898›Full record

ArticleMikrochimica acta2026

Dual-cytokine profiling of inflammatory states using a rapid electroanalytical device as a point-of-care sensor platform.

Bianca Elizabeth David, Sasya Madhurantakam, Georgeena Mathew, Vikram Narayanan Dhamu, Shreya Parulekar, Apoorva S Krovvidi, Crisvin Sajee Kadambathil, Aditya Mittal Desai, Jayanth Babu Karnam, Sriram Muthukumar and 1 more

Abstract read
In one paragraph

Article in Mikrochimica acta, 2026. 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

11 authors.

Bianca Elizabeth DavidDepartment of Bioengineering, The University of Texas at Dallas, Richardson, TX, 75248, USA.
Sasya MadhurantakamDepartment of Bioengineering, The University of Texas at Dallas, Richardson, TX, 75248, USA.
Georgeena MathewDepartment of Bioengineering, The University of Texas at Dallas, Richardson, TX, 75248, USA.
Vikram Narayanan DhamuEnLiSense LLC, Allen, TX, 75013, USA.
Shreya ParulekarDepartment of Bioengineering, The University of Texas at Dallas, Richardson, TX, 75248, USA.
Apoorva S KrovvidiDepartment of Bioengineering, The University of Texas at Dallas, Richardson, TX, 75248, USA.
Crisvin Sajee KadambathilEnLiSense LLC, Allen, TX, 75013, USA.
Aditya Mittal DesaiEnLiSense LLC, Allen, TX, 75013, USA.
Jayanth Babu KarnamEnLiSense LLC, Allen, TX, 75013, USA.
Sriram MuthukumarEnLiSense LLC, Allen, TX, 75013, USA.
Shalini PrasadDepartment of Bioengineering, The University of Texas at Dallas, Richardson, TX, 75248, USA. Shalini.prasad@utdallas.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The dynamic mechanism of inflammation plays a pivotal role in the pathogenesis of many acute and chronic disease states, with interleukin-18 (IL-18) and interleukin-10 (IL-10) as important markers representing pro-inflammatory and anti-inflammatory responses, respectively. An imbalance in the levels of these cytokines can worsen disease severity and patient outcome, highlighting the need for tools that simultaneously detect and quantify levels for diagnostic purposes. This study uses the READ (Rapid Electrochemical Analysis Device) platform, an innovative biosensor technology, utilizing the electrochemical impedance spectroscopy (EIS) technique, which is equipped to quantify IL-18 and IL-10 levels directly in human blood samples. The READ platform offers sensitive, label-free detection of inflammatory markers with a rapid processing time (< 10 min) and requires minimal sample volume (≤ 160 µl). The device exhibited a robust analytical performance, with a strong dose-response linearity (R² = 0.98–0.99), consistent recovery (80–120%), and minimal cross-reactivity across cytokines (IL-18 and IL-10) and across matrices (K2-EDTA whole blood and plasma). The portable, user-friendly approach to the READ platform bridges the gap between tedious laboratory processing and clinical-level field deployment, thus paving the way for personalized inflammatory disease management. This work highlights a transformative approach to cytokine monitoring, allowing for early intervention and improved therapeutic outcomes for patients fighting inflammatory states.

Indexed as

Biosensing TechniquesElectrochemical TechniquesInflammationInterleukin-10Interleukin-18Point-of-Care SystemsDielectric SpectroscopyHumansLimit of DetectionRapid Diagnostic TestsInterleukin-10Interleukin-18BiosensingCytokinesElectrochemicalImmunosensorImpedanceMultiplexing

Identifiers

PMID41708898
PMCPMC12917098

What Socratic 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 Socratic graph.