Evidence map›Paper›PMID 39722103›Full record

ArticleAnalytical and bioanalytical chemistry2025

Identification of putative volatile biomarkers of canine leishmaniasis in dog's breath and hair employing a novel algorithm for automated chromatographic peak detection and matching.

Raluca Suschinel, Aylen Lisset Jaimes-Mogollón, Siong Fong Sim, Woei Ting, Juan Martín Cáceres-Tarazona, Eliana Alvarez-Valdez, Milton Rosero-Moreano, Mohamed Fethi Diouani, Emira Chouihi, Mihai Brebu and 3 more

Abstract read
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In one paragraph

Article in Analytical and bioanalytical chemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
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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

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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

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

13 authors.

Raluca SuschinelInstitute of Veterinary Medicine and Animal Sciences, Estonian University of Life Sciences, 51006, Tartu, Estonia.
Aylen Lisset Jaimes-MogollónInstitute of Veterinary Medicine and Animal Sciences, Estonian University of Life Sciences, 51006, Tartu, Estonia.
Siong Fong SimFaculty of Resource Science and Technology, University Malaysia Sarawak, 94300, Kota Samarahan, Sarawak, Malaysia.
Woei TingFaculty of Resource Science and Technology, University Malaysia Sarawak, 94300, Kota Samarahan, Sarawak, Malaysia.
Juan Martín Cáceres-TarazonaGISM Group, Faculty of Engineering and Architecture, University of Pamplona, 543050, Pamplona, Colombia.
Eliana Alvarez-ValdezGrupo de Investigación en Cromatografía y Técnicas Afines GICTA, Departamento de Química, Facultad de Ciencias Exactas y Naturales, Universidad de Caldas, 170004, Manizales, Colombia.
Milton Rosero-MoreanoGrupo de Investigación en Cromatografía y Técnicas Afines GICTA, Departamento de Química, Facultad de Ciencias Exactas y Naturales, Universidad de Caldas, 170004, Manizales, Colombia.
Mohamed Fethi DiouaniPasteur Institute of Tunis, LR16IPT01, 1002, Tunis-Belvédère, Tunisia.
Emira ChouihiPasteur Institute of Tunis, LR16IPT01, 1002, Tunis-Belvédère, Tunisia.
Mihai Brebu"Petru Poni" Institute of Macromolecular Chemistry, 700487, Iasi, Romania.
Violeta SimionFaculty of Veterinary Medicine, Spiru Haret University, 030171, Bucharest, Romania.
Jose Angel BarasonaVISAVET Health Surveillance Center and Animal Health Department, Faculty of Veterinary Medicine, Complutense University of Madrid, 28040, Madrid, Spain.
Radu IonescuInstitute of Veterinary Medicine and Animal Sciences, Estonian University of Life Sciences, 51006, Tartu, Estonia. SeptimiuRadu.Ionescu@emu.ee.

Funding

European Union's Horizon 2020 research and innovation programme 101007653European Union's Horizon Europe research and innovation programme 101086360Spanish Ministry of Science and Innovation RYC2022-038060-I
6 · The paper itself

Abstract

The analysis of the volatile compounds released by biological samples represents a promising approach for the non-invasive diagnosis of a disease. The present study, focused on a population of dogs infected with canine leishmaniasis, aimed to decipher the volatolomic profile associated with this disease in dogs, which represent the main animal reservoir for Leishmania pathogen transmission to humans. The volatiles emitted by the breath and hair of dogs were analysed employing the gas chromatography-mass spectrometry (GC-MS) technique. The acquired chromatograms were investigated using a novel algorithm developed in this study for automated chromatographic peak detection and matching in untargeted GC-MS analysis, which includes various steps that comprise noise reduction, m/z filtering, background subtraction, peak detection, peak matching, and generation of a peak table for compounds identification. The results revealed one tentative breath volatile biomarker and five tentative hair volatile biomarkers for the cutaneous form of the disease, which is characterised by skin ulcerations. Additionally, nine tentative breath volatile biomarkers and four tentative hair volatile biomarkers were found for the visceral form of the disease, which affects internal organs such as spleen, liver and bone marrow. All tentative biomarkers identified in this study were upregulated in cutaneous leishmaniasis, while in visceral leishmaniasis, all tentative biomarkers were upregulated in the breath and only one out of four in the hair. Only one compound (glyceryl monooleate) was identified as tentative volatile biomarker for both forms of the disease, in the hair of dogs.

Indexed as

Dog DiseasesGas Chromatography-Mass SpectrometryHairLeishmaniasisVolatile Organic CompoundsAlgorithmsAnimalsBiomarkersBreath TestsDogsBiomarkersVolatile Organic CompoundsAutomated chromatographic peak detection and matchingBreathCanine leishmaniasisGas chromatography-mass spectrometryHairVolatile biomarkers

Identifiers

PMID39722103

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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.