Evidence map›Paper›PMID 37843549›Full record

ReviewAnalytical and bioanalytical chemistry2024

Volatilomes of human infection.

Shane Fitzgerald, Linda Holland, Waqar Ahmed, Birgit Piechulla, Stephen J Fowler, Aoife Morrin

Abstract readReview
In one paragraph

Review in Analytical and bioanalytical chemistry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
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.

Shane FitzgeraldSFI Insight Centre for Data Analytics, School of Chemical Sciences, National Centre for Sensor Research, Dublin City University, Dublin, Ireland.
Linda HollandSchool of Biotechnology, Dublin City University, Dublin, Ireland.
Waqar AhmedDivision of Immunology, Immunity to Infection and Respiratory Medicine, School of Biological Sciences, The University of Manchester, Manchester, UK.
Birgit PiechullaInstitute of Biological Sciences, University of Rostock, Rostock, Germany.
Stephen J FowlerDivision of Immunology, Immunity to Infection and Respiratory Medicine, School of Biological Sciences, The University of Manchester, Manchester, UK.
Aoife MorrinSFI Insight Centre for Data Analytics, School of Chemical Sciences, National Centre for Sensor Research, Dublin City University, Dublin, Ireland. aoife.morrin@dcu.ie.

Funding

Science Foundation Ireland SFI/12/RC/2289_P2
6 · The paper itself

Abstract

The human volatilome comprises a vast mixture of volatile emissions produced by the human body and its microbiomes. Following infection, the human volatilome undergoes significant shifts, and presents a unique medium for non-invasive biomarker discovery. In this review, we examine how the onset of infection impacts the production of volatile metabolites that reflects dysbiosis by pathogenic microbes. We describe key analytical workflows applied across both microbial and clinical volatilomics and emphasize the value in linking microbial studies to clinical investigations to robustly elucidate the metabolic species and pathways leading to the observed volatile signatures. We review the current state of the art across microbial and clinical volatilomics, outlining common objectives and successes of microbial-clinical volatilomic workflows. Finally, we propose key challenges, as well as our perspectives on emerging opportunities for developing clinically useful and targeted workflows that could significantly enhance and expedite current practices in infection diagnosis and monitoring.

Indexed as

Volatile Organic CompoundsGas Chromatography-Mass SpectrometryHumansVolatile Organic CompoundsClinicalGas chromatographyMass spectrometryMetabolic pathwaysMicrobial volatiles

Identifiers

PMID37843549
PMCPMC10758372

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.