Evidence map›Paper›PMID 41138245›Full record

ArticleAnalytical chemistry2025

High-Frequency Microfluidic Fractionation for Compound-Resolved Bioactivity-Based Metabolomics.

Christian Geibel, Julian Schubert, Simon B Knoblauch, Albert Hernandez, Leonardo Boldt, Dana C Schneider, Stilianos Papadopoulos Lambidis, Giovanni Andrea Vitale, Jakub Fleischer, Manuela Haussmann and 4 more

Abstract read
In one paragraph

Article in Analytical chemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. A Functional Metabolomics Framework to Track Microbiome Drug Metabolism.bioRxiv : the preprint server for biology · 2026
    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

14 authors.

Christian GeibelDepartment of Microbial Bioactive Compounds, Interfaculty Institute of Microbiology and Infection Medicine (IMIT), University of Tübingen, 72076 Tübingen, Germany.ORCID 0009-0002-2044-9422
Julian SchubertDepartment of Microbial Bioactive Compounds, Interfaculty Institute of Microbiology and Infection Medicine (IMIT), University of Tübingen, 72076 Tübingen, Germany.
Simon B KnoblauchCluster of Excellence Controlling Microbes to Fight Infections (CMFI), University of Tübingen, 72076 Tübingen, Germany.
Albert HernandezCluster of Excellence Controlling Microbes to Fight Infections (CMFI), University of Tübingen, 72076 Tübingen, Germany.
Leonardo BoldtDepartment of Microbial Bioactive Compounds, Interfaculty Institute of Microbiology and Infection Medicine (IMIT), University of Tübingen, 72076 Tübingen, Germany.ORCID 0009-0009-7743-605X
Dana C SchneiderDepartment of Microbial Bioactive Compounds, Interfaculty Institute of Microbiology and Infection Medicine (IMIT), University of Tübingen, 72076 Tübingen, Germany.
Stilianos Papadopoulos LambidisCluster of Excellence Controlling Microbes to Fight Infections (CMFI), University of Tübingen, 72076 Tübingen, Germany.
Giovanni Andrea VitaleDepartment of Microbial Bioactive Compounds, Interfaculty Institute of Microbiology and Infection Medicine (IMIT), University of Tübingen, 72076 Tübingen, Germany.ORCID 0000-0002-7143-6317
Jakub FleischerUniversity of Innsbruck, 6020 Innsbruck, Austria.
Manuela HaussmannPharmaceutical Institute, Department of Pharmaceutical Biology, University of Tübingen, 72076 Tübingen, Germany.
Harald GrossCluster of Excellence Controlling Microbes to Fight Infections (CMFI), University of Tübingen, 72076 Tübingen, Germany.ORCID 0000-0002-0731-821X
Mingxun WangDepartment of Computer Science and Engineering, University of California Riverside, Riverside, California 92521, United States.
Heike Brötz-OesterheltDepartment of Microbial Bioactive Compounds, Interfaculty Institute of Microbiology and Infection Medicine (IMIT), University of Tübingen, 72076 Tübingen, Germany.ORCID 0000-0001-9364-1832
Daniel PetrasCluster of Excellence Controlling Microbes to Fight Infections (CMFI), University of Tübingen, 72076 Tübingen, Germany.ORCID 0000-0002-6561-3022

Funding

Collaborative Microbial Metabolite CenterU24DK133658 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PIETER C DORRESTEIN · 2022 to 2026
$2.9M
Understanding the Impact of Xenobiotic Metabolism on the Gut Microbiome and Resilience against Gastrointestinal PathogensR35GM160154 · NIGMS · UNIVERSITY OF CALIFORNIA RIVERSIDE · PI Daniel Petras · 2025 to 2026
$747k
NIDDK NIH HHS U24 DK133658NIGMS NIH HHS R35 GM160154
6 · The paper itself

Abstract

Specialized metabolites represent a prolific source of potential drug candidates. However, the process from detecting bioactivity in a crude metabolite extract to unambiguously identifying the active agent is a tedious and expensive endeavor. Speeding up this procedure is crucial, as new drugs, such as antibiotics, are urgently needed. Furthermore, the systematic functional assessment of complex metabolome samples represents a key bottleneck in nontargeted metabolomics, which once solved, holds the potential to fundamentally advance our systematic understanding of biology. To tackle this central bioanalytical challenge, we developed a compound-resolved bioactivity-based metabolomics workflow that combines nontargeted liquid chromatography tandem mass spectrometry (LC-MS/MS), high frequency fractionation on microfluidic devices and subsequent readout with luminescent bioreporter strains. Central for this workflow is a custom high-speed (∼1 Hz frequency) fractionation device that spots the mobile phase onto a microfluidic paper-analytical device (μPAD) in parallel to MS/MS data acquisition. Subsequently, the μPAD can be overlaid with a bioreporter strain, which displays cellular stress by expressing luciferase. The luminescence signal can then be correlated to MS signals through their chromatographic profiles. We evaluated five different luciferase-expressing bioreporter strains which provide information about different antibacterial modes of action, and tested the workflow with different antibiotic standards and mixtures thereof, as well as crude extracts from the known antibiotic producer

Indexed as

Anti-Bacterial AgentsLab-On-A-Chip DevicesMetabolomicsMicrofluidic Analytical TechniquesChromatography, LiquidTandem Mass SpectrometryAnti-Bacterial Agents

Identifiers

PMID41138245
PMCPMC12590468

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.