Evidence map›Paper›PMID 30912557›Full record

ArticleLab on a chip2019

Passive sweat collection and colorimetric analysis of biomarkers relevant to kidney disorders using a soft microfluidic system.

Yi Zhang, Hexia Guo, Sung Bong Kim, Yixin Wu, Diana Ostojich, Sook Hyeon Park, Xueju Wang, Zhengyan Weng, Rui Li, Amay J Bandodkar and 6 more

Open access · greenAbstract read
In one paragraph

Article in Lab on a chip, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed
10.4field-weighted citation impact, top 1% 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

47 citing papers in PubMed, 234 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Remote analysis and management of sweat biomarkers using a wearable microfluidic sticker in adult cystic fibrosis patients.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. Review
  13. Review
  14. Article
  15. Review
  16. Review
  17. Review
  18. Article
  19. Article
  20. Review
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

16 authors at 7 institutions in 4 countries.

Yi ZhangDepartment of Biomedical, Biological, and Chemical Engineering, University of Missouri, Columbia, MO 65211, USA.
Hexia Guo
Sung Bong Kim
Yixin Wu
Diana Ostojich
Sook Hyeon Park
Xueju Wang
Zhengyan Weng
Rui Li
Amay J Bandodkar
Yurina Sekine
Jungil Choi
Shuai Xu
Susan Quaggin
Roozbeh Ghaffari
John A Rogers
Northwestern University · USAmerican Chemical Society · USDalian University of Technology · CNJapan Atomic Energy Agency · JPKookmin University · KRUniversity of Illinois Urbana-Champaign · USUniversity of Missouri · US

Funding

NUKIDs: Scientist Training Program in Kidney DiseaseT32DK108738 · NIDDK · NORTHWESTERN UNIVERSITY AT CHICAGO · PI ISAKOVA, TAMARA · 2016 to 2020
$985k
STRUCTURAL BIOL RES: LUNG SURFACTANT PROTEINS, DISTRESSS10RR019071 · NCRR · NORTHWESTERN UNIVERSITY · PI RADHAKRISHNAN, ISHWAR · 2005 to 2005
$272k
600 MHz NMR Instrument Upgrade at Northwestern UniversityS10OD012016 · OD · NORTHWESTERN UNIVERSITY · PI RADHAKRISHNAN, ISHWAR · 2012 to 2012
$267k
NCRR NIH HHS S10 RR019071NIDDK NIH HHS T32 DK108738NIH HHS S10 OD012016
6 · The paper itself

Abstract

The rich range of biomarkers in sweat and the ability to collect sweat in a non-invasive manner create interest in the use of this biofluid for assessments of health and physiological status, with potential applications that range from sports and fitness to clinical medicine. This paper introduces two important advances in recently reported classes of soft, skin-interfaced microfluidic systems for sweat capture and analysis: (1) a simple, broadly applicable means for collection of sweat that bypasses requirements for physical/mental exertion or pharmacological stimulation and (2) a set of enzymatic chemistries and colorimetric readout approaches for determining the concentrations of creatinine and urea in sweat, throughout ranges that are physiologically relevant. The results allow for routine, non-pharmacological capture of sweat for patient populations, such as infants and the elderly, that cannot be expected to sweat through exercise, and they create potential opportunities in the use of sweat for kidney disease screening/monitoring. Studies on human subjects demonstrate these essential capabilities, with quantitative comparisons to standard methods. The results expand the range of options available in microfluidic sampling and sensing of sweat for disease diagnostics and health monitoring.

Indexed as

Lab-On-A-Chip DevicesBiomarkersColorimetryHumansKidney DiseasesSweatBiomarkers

Identifiers

PMID30912557
PMCPMC6830512
OpenAlexW2921291721

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.