Evidence map›Paper›PMID 34589597›Full record

ArticleBioengineering & translational medicine2021

Temporal profiling of cytokines in passively expressed sweat for detection of infection using wearable device.

Badrinath Jagannath, Kai-Chun Lin, Madhavi Pali, Devangsingh Sankhala, Sriram Muthukumar, Shalini Prasad

Open access · goldAbstract read
In one paragraph

Article in Bioengineering & translational medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 1 pooled it
5.1field-weighted citation impact, top 4% of its field
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

41 citing papers in PubMed, 1 synthesis or guideline pooled it, 89 citations in OpenAlex.

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  17. Wearable Electrochemical Biosensors for Advanced Healthcare Monitoring.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
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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 at 1 institution in 1 country.

Badrinath JagannathDepartment of Bioengineering University of Texas at Dallas Richardson Texas USA.
Kai-Chun LinDepartment of Bioengineering University of Texas at Dallas Richardson Texas USA.
Madhavi PaliDepartment of Bioengineering University of Texas at Dallas Richardson Texas USA.
Devangsingh SankhalaDepartment of Electrical Engineering University of Texas at Dallas Richardson Texas USA.
Sriram MuthukumarEnLiSense LLC Allen Texas USA.
Shalini PrasadDepartment of Bioengineering University of Texas at Dallas Richardson Texas USA.ORCID https://orcid.org/0000-0002-2404-3801
The University of Texas at Dallas · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This work presents the viability of passive eccrine sweat as a functional biofluid toward tracking the human body's inflammatory response. Cytokines are biomarkers that orchestrate the manifestation and progression of an infection/inflammatory event. Hence, noninvasive, real-time monitoring of cytokines can be pivotal in assessing the progression of infection/inflammatory event, which may be feasible through monitoring of host immune markers in eccrine sweat. This work is the first experimental proof demonstrating the ability to detect inflammation/infection such as fever, FLU directly from passively expressed sweat in human subjects using a wearable "SWEATSENSER" device. The developed SWEATSENSER device demonstrates stable, real-time monitoring of inflammatory cytokines in passive sweat. An accuracy of >90% and specificity >95% was achieved using SWEATSENSER for a panel of cytokines (interleukin-6, interleukin-8, interleukin-10, and tumor necrosis factor-α) over an analytical range of 0.2-200 pg mL

Indexed as

cytokine biomarkersinfectionmultiplexed detectionportable electronicssweatwearables

Identifiers

PMID34589597
PMCPMC8459593
OpenAlexW3144170814

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.