Evidence map›Paper›PMID 22194922›Full record

ArticlePloS one2011

Analyzing and mapping sweat metabolomics by high-resolution NMR spectroscopy.

Viktor P Kutyshenko, Maxim Molchanov, Peter Beskaravayny, Vladimir N Uversky, Maria A Timchenko

Abstract read
In one paragraph

Article in PloS one, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Review
  2. Wearable Electrochemical Biosensors for Advanced Healthcare Monitoring.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  3. Review
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  5. Review
  6. Article
  7. Article
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  9. Article
  10. Article
  11. Article
  12. Noninvasive profiling of sweat-derived lipid mediators for cutaneous research.Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI) · 2019
    Review
  13. Article
  14. Article
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  19. Review
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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

5 authors.

Viktor P KutyshenkoInstitute of Theoretical and Experimental Biophysics, Russian Academy of Sciences, Pushchino, Moscow Region, Russia. kutyshenko@rambler.ru
Maxim Molchanov
Peter Beskaravayny
Vladimir N Uversky
Maria A Timchenko

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The content of human sweat is studied by high-resolution NMR, and the majority of organic components most often found in sweat of conditionally healthy people are identified. Original and simple tools are designed for sweat sampling from different areas of human body. The minimal surface area needed for sampling is in the range of 50-100 cm(2). On all the surface parts of the human body examined in this work, the main constituents forming a sweat metabolic profile are lactate, glycerol, pyruvate, and serine. The only exception is the sole of the foot (planta pedis), where trace amounts of glycerol are found. An attempt is made to explain the presence of specified metabolites and their possible origin.

Indexed as

MetabolomicsAdultChildChild, PreschoolFemaleHumansMagnetic Resonance SpectroscopyMaleMiddle AgedSweat

Identifiers

PMID22194922
PMCPMC3237544

What OpenQuestion holds

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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.