Evidence map›Paper›PMID 40603951›Full record

ArticleScientific reports2025

Investigation of effects of collection conditions on amino acid concentrations in sweat and correlations with their Circulating levels in plasma.

Jacquelyn Spano, Laarni Demchak, Kayo Nakano, Tina Conti, Jason Heikenfeld, Carlos Milla

Abstract read
In one paragraph

Article in Scientific reports, 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

6 authors.

Jacquelyn SpanoCenter for Excellence in Pulmonary Biology, Stanford University School of Medicine, Stanford, USA.
Laarni DemchakCenter for Excellence in Pulmonary Biology, Stanford University School of Medicine, Stanford, USA.
Kayo NakanoCenter for Excellence in Pulmonary Biology, Stanford University School of Medicine, Stanford, USA.
Tina ContiCenter for Excellence in Pulmonary Biology, Stanford University School of Medicine, Stanford, USA.
Jason HeikenfeldUniversity of Cincinnati, Cincinnati, USA. heikenjc@ucmail.uc.edu.
Carlos MillaCenter for Excellence in Pulmonary Biology, Stanford University School of Medicine, Stanford, USA. cmilla@stanford.edu.

Funding

Air Force Office of Scientific Research FA955-20-1-0117 Mod 00005
6 · The paper itself

Abstract

Sweat analysis is best recognized as a procedure for the diagnosis of cystic fibrosis. However sweat contains a large number of solutes, so it has great potential to phenotypically profile individuals. We aimed to evaluate the use of aminoacids in sweat as biomarkers by measuring their concentrations in relation to those in circulation. Healthy adults were recruited to provide concurrent blood and sweat samples collected by standard methods. This included the collection of sweat under an oil barrier on a subset to evaluate potential contamination from transdermal sources. For most aminoacids only weak correlations were noted, as well as large differences introduced by the sweat collection conditions. Only for Valine, Alanine and Threonine we found significant correlations. This suggests to us that these amino acids might be more amenable to modeling of their partitioning for further development as surrogates of circulating levels. Among aminoacid characteristics assessed, only molecular weight seemed to influence partitioning into sweat. Overall our study demonstrates that the partitioning of aminoacids into sweat is complex and in need of additional research. This should also be taken as a cautionary note about the further development of aminoacids in sweat as biomarkers.

Indexed as

Amino AcidsSpecimen HandlingSweatAdultBiomarkersCystic FibrosisFemaleHumansMaleMiddle AgedYoung AdultAmino AcidsBiomarkers

Identifiers

PMID40603951
PMCPMC12222781

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Registered trials

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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.