Evidence map›Paper›PMID 40001689›Full record

ArticleBioengineering (Basel, Switzerland)2025

Characterizing Metabolic Shifts in Septic Murine Kidney Tissue Using 2P-FLIM for Early Sepsis Detection.

Stella Greiner, Mahyasadat Ebrahimi, Marko Rodewald, Annett Urbanek, Tobias Meyer-Zedler, Michael Schmitt, Ute Neugebauer, Jürgen Popp

Abstract read
In one paragraph

Article in Bioengineering (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Stella GreinerLeibniz Institute of Photonic Technology (Leibniz IPHT), Member of the Research Alliance "Leibniz Health Technologies", Member of the Leibniz Center for Photonics in Infection Research (LPI) Jena, Albert-Einstein-Straße 9, 07745 Jena, Germany.
Mahyasadat EbrahimiLeibniz Institute of Photonic Technology (Leibniz IPHT), Member of the Research Alliance "Leibniz Health Technologies", Member of the Leibniz Center for Photonics in Infection Research (LPI) Jena, Albert-Einstein-Straße 9, 07745 Jena, Germany.
Marko RodewaldDipartimento di Fisica, Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133 Milano, Italy.ORCID 0000-0001-9021-8270
Annett UrbanekLeibniz Institute of Photonic Technology (Leibniz IPHT), Member of the Research Alliance "Leibniz Health Technologies", Member of the Leibniz Center for Photonics in Infection Research (LPI) Jena, Albert-Einstein-Straße 9, 07745 Jena, Germany.
Tobias Meyer-ZedlerLeibniz Institute of Photonic Technology (Leibniz IPHT), Member of the Research Alliance "Leibniz Health Technologies", Member of the Leibniz Center for Photonics in Infection Research (LPI) Jena, Albert-Einstein-Straße 9, 07745 Jena, Germany.ORCID 0000-0001-6740-629X
Michael SchmittLeibniz Institute of Photonic Technology (Leibniz IPHT), Member of the Research Alliance "Leibniz Health Technologies", Member of the Leibniz Center for Photonics in Infection Research (LPI) Jena, Albert-Einstein-Straße 9, 07745 Jena, Germany.ORCID 0000-0002-3807-3630
Ute NeugebauerLeibniz Institute of Photonic Technology (Leibniz IPHT), Member of the Research Alliance "Leibniz Health Technologies", Member of the Leibniz Center for Photonics in Infection Research (LPI) Jena, Albert-Einstein-Straße 9, 07745 Jena, Germany.
Jürgen PoppLeibniz Institute of Photonic Technology (Leibniz IPHT), Member of the Research Alliance "Leibniz Health Technologies", Member of the Leibniz Center for Photonics in Infection Research (LPI) Jena, Albert-Einstein-Straße 9, 07745 Jena, Germany.

Funding

BMBF FKZ13N15464European Union's Horizon 2020 research and innovation program grant agreement No 861122
6 · The paper itself

Abstract

In this study, thin mouse kidney sections from healthy mice and those infected leading to acute and chronic sepsis were examined with two-photon excited fluorescence lifetime imaging (2P-FLIM) using the endogenous fluorescent coenzymes nicotinamide adenine dinucleotide (NADH) and flavin adenine dinucleotide (FAD). The results presented show that this approach is a powerful tool for investigating cell metabolism in thin tissue sections. An adapted measurement routine was established for these samples by performing a spectral scan, identifying a combination of two excitation wavelengths and two detection ranges suitable for detailed scan images of NADH and FAD. Selected positions in thin slices of the renal cortex of nine mice (three healthy, three with chronic sepsis, and three with acute sepsis) were studied using 2P-FLIM. In addition, overview images were obtained using two-photon excited fluorescence (2PEF) intensity. This study shows that healthy kidney slices differ considerably from those with acute sepsis with regard to their fluorescence lifetime signatures. The latter shows a difference in metabolism between the inner and outer cortex, indicating that outer cortical tubular cells switch their metabolism from oxidative phosphorylation to glycolysis in kidneys from mice with acute sepsis and back in later stages, as seen for mice with chronic infections. These findings suggest that 2P-FLIM could serve as a powerful tool for early-stage sepsis diagnosis and monitoring metabolic recovery during treatment.

Indexed as

FLIMkidneymetabolic non-linear imagingsepsis

Identifiers

PMID40001689
PMCPMC11851710

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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.