Evidence map›Paper›PMID 22410396›Full record

ReviewDiabetes research and clinical practice2012

The clinical potential of exhaled breath analysis for diabetes mellitus.

Timothy Do Chau Minh, Donald Ray Blake, Pietro Renato Galassetti

Abstract readReview
In one paragraph

Review in Diabetes research and clinical practice, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed, 2 pooled it
–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

56 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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  4. Trial
  5. Article
  6. Review
  7. Review
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  9. Review
  10. Review
  11. Article
  12. Exhaled Breath Analysis: From Laboratory Test to Wearable Sensing.IEEE reviews in biomedical engineering · 2025
    Review
  13. Article
  14. Article
  15. Article
  16. Article
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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

3 authors.

Timothy Do Chau MinhDepartment of Pharmacology, University of California, Irvine, Irvine, CA 92697-1385, United States. tminh@uci.edu
Donald Ray Blake
Pietro Renato Galassetti

Funding

INSTITUTE FOR CLINICAL AND TRANSLATIONAL SCIENCEUL1RR031985 · NCRR · UNIVERSITY OF CALIFORNIA-IRVINE · PI COOPER, DAN M · 2010 to 2011
$7.2M
Inflammatory Biomarkers in Pediatric Obesity and Diabetes: Research and MentoringK24DK085223 · NIDDK · UNIVERSITY OF CALIFORNIA-IRVINE · PI GALASSETTI, PIETRO R · 2010 to 2014
$752k
Exhaled Gas Biomarkers of Glucose Metabolism in T2DM subjectsF30DK088401 · NIDDK · UNIVERSITY OF CALIFORNIA-IRVINE · PI MINH, TIMOTHY DO CHAU · 2010 to 2013
$146k
NCRR NIH HHS UL1 RR031985NCRR NIH HHS UL1-RR031985NIDDK NIH HHS F30 DK088401NIDDK NIH HHS F30-DK-088401NIDDK NIH HHS K24 DK085223NIDDK NIH HHS K24-DK-085223
6 · The paper itself

Abstract

Various compounds in present human breath have long been loosely associated with pathological states (including acetone smell in uncontrolled diabetes). Only recently, however, the precise measurement of exhaled volatile organic compounds (VOCs) and aerosolized particles was made possible at extremely low concentrations by advances in several analytical methodologies, described in detail in the international literature and each suitable for specific subsets of exhaled compounds. Exhaled gases may be generated endogenously (in the pulmonary tract, blood, or peripheral tissues), as metabolic by-products of human cells or colonizing micro-organisms, or may be inhaled as atmospheric pollutants; growing evidence indicates that several of these molecules have distinct cell-to-cell signaling functions. Independent of origin and physiological role, exhaled VOCs are attractive candidates as biomarkers of cellular activity/metabolism, and could be incorporated in future non-invasive clinical testing devices. Indeed, several recent studies reported altered exhaled gas profiles in dysmetabolic conditions and relatively accurate predictions of glucose concentrations, at least in controlled experimental conditions, for healthy and diabetic subjects over a broad range of glycemic values. Optimization of this methodology and validation in large-scale trials under a wider range of conditions is needed to determine its true potential to transition into practical clinical use.

Indexed as

Breath TestsExhalationBiomarkersBlood GlucoseDiabetes Mellitus, Type 1FemaleHumansHyperglycemiaMaleReference ValuesVolatile Organic CompoundsBiomarkersBlood GlucoseVolatile Organic Compounds

Identifiers

PMID22410396
PMCPMC3384765

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.