Evidence map›Paper›PMID 35602217›Full record

ArticleCommunications medicine2021

Personalised therapeutic management of epileptic patients guided by pathway-driven breath metabolomics.

Kapil Dev Singh, Martin Osswald, Victoria C Ziesenitz, Mo Awchi, Jakob Usemann, Lukas L Imbach, Malcolm Kohler, Diego García-Gómez, Johannes van den Anker, Urs Frey and 2 more

Open access · goldAbstract read
In one paragraph

Article in Communications medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.8field-weighted citation impact, top 16% of its field
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

13 citing papers in PubMed, 26 citations in OpenAlex.

  1. Observational
  2. Article
  3. Article
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  5. Article
  6. A study of 9 common breath VOCs in 504 healthy subjects using PTR-TOF-MS.Metabolomics : Official journal of the Metabolomic Society · 2024
    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

12 authors at 3 institutions in 2 countries.

Kapil Dev SinghUniversity Children's Hospital Basel, University of Basel, Basel, Switzerland.ORCID 0000-0002-5682-0708
Martin OsswaldUniversity Hospital Zurich, University of Zurich, Zurich, Switzerland.
Victoria C ZiesenitzUniversity Children's Hospital Basel, University of Basel, Basel, Switzerland.ORCID 0000-0003-2836-4212
Mo AwchiUniversity Children's Hospital Basel, University of Basel, Basel, Switzerland.
Jakob UsemannUniversity Children's Hospital Basel, University of Basel, Basel, Switzerland.ORCID 0000-0002-9987-2866
Lukas L ImbachUniversity Hospital Zurich, University of Zurich, Zurich, Switzerland.
Malcolm KohlerUniversity Hospital Zurich, University of Zurich, Zurich, Switzerland.
Diego García-GómezDepartment of Analytical Chemistry, University of Salamanca, Salamanca, Spain.
Johannes van den AnkerUniversity Children's Hospital Basel, University of Basel, Basel, Switzerland.
Urs FreyUniversity Children's Hospital Basel, University of Basel, Basel, Switzerland.
Alexandre N Datta *University Children's Hospital Basel, University of Basel, Basel, Switzerland.
Pablo Sinues *University Children's Hospital Basel, University of Basel, Basel, Switzerland.ORCID 0000-0001-5602-2880
University of Basel · CHUniversity of Zurich · CHUniversidad de Salamanca · ES

Funding

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (Swiss National Science Foundation) 320030_173168Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (Swiss National Science Foundation) PCEGP3_181300
6 · The paper itself

Abstract

Background: Therapeutic management of epilepsy remains a challenge, since optimal systemic antiseizure medication (ASM) concentrations do not always correlate with improved clinical outcome and minimal side effects. We tested the feasibility of noninvasive real-time breath metabolomics as an extension of traditional therapeutic drug monitoring for patient stratification by simultaneously monitoring drug-related and drug-modulated metabolites. Methods: This proof-of-principle observational study involved 93 breath measurements of 54 paediatric patients monitored over a period of 2.5 years, along with an adult's cohort of 37 patients measured in two different hospitals. Exhaled breath metabolome of epileptic patients was measured in real time using secondary electrospray ionisation-high-resolution mass spectrometry (SESI-HRMS). Results: We show that systemic ASM concentrations could be predicted by the breath test. Total and free valproic acid (VPA, an ASM) is predicted with concordance correlation coefficient (CCC) of 0.63 and 0.66, respectively. We also find (i) high between- and within-subject heterogeneity in VPA metabolism; (ii) several amino acid metabolic pathways are significantly enriched ( Conclusions: These results show that real-time breath analysis of epileptic patients provides reliable estimations of systemic drug concentrations along with risk estimates for drug response and side effects.

Indexed as

EpilepsyPredictive markers

Identifiers

PMID35602217
PMCPMC9053280
OpenAlexW3192560945

What OpenQuestion holds

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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.