Evidence map›Paper›PMID 38971403›Full record

ArticleMolecular metabolism2024

Metabolic profiling of single cells by exploiting NADH and FAD fluorescence via flow cytometry.

Ariful Haque Abir, Leonie Weckwerth, Artur Wilhelm, Jana Thomas, Clara M Reichardt, Luis Munoz, Simon Völkl, Uwe Appelt, Markus Mroz, Raluca Niesner and 7 more

Abstract read
In one paragraph

Article in Molecular metabolism, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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

17 authors.

Ariful Haque AbirDivision of Molecular Immunology, Department of Internal Medicine 3, Friedrich-Alexander-Universität Erlangen-Nürnberg and Universitätsklinikum Erlangen, Nikolaus-Fiebiger-Center, Glückstr. 6, 91054 Erlangen, Germany.
Leonie WeckwerthDivision of Molecular Immunology, Department of Internal Medicine 3, Friedrich-Alexander-Universität Erlangen-Nürnberg and Universitätsklinikum Erlangen, Nikolaus-Fiebiger-Center, Glückstr. 6, 91054 Erlangen, Germany.
Artur WilhelmDepartment of Internal Medicine 3 - Rheumatology and Immunology, Friedrich-Alexander-University Erlangen-Nürnberg (FAU) and Universitätsklinikum Erlangen, Erlangen, Germany; Deutsches Zentrum für Immuntherapie (DZI), Friedrich-Alexander-University Erlangen-Nürnberg and Universitätsklinikum Erlangen, Erlangen, Germany.
Jana ThomasDivision of Molecular Immunology, Department of Internal Medicine 3, Friedrich-Alexander-Universität Erlangen-Nürnberg and Universitätsklinikum Erlangen, Nikolaus-Fiebiger-Center, Glückstr. 6, 91054 Erlangen, Germany.
Clara M ReichardtDepartment of Internal Medicine 3 - Rheumatology and Immunology, Friedrich-Alexander-University Erlangen-Nürnberg (FAU) and Universitätsklinikum Erlangen, Erlangen, Germany; Deutsches Zentrum für Immuntherapie (DZI), Friedrich-Alexander-University Erlangen-Nürnberg and Universitätsklinikum Erlangen, Erlangen, Germany.
Luis MunozDepartment of Internal Medicine 3 - Rheumatology and Immunology, Friedrich-Alexander-University Erlangen-Nürnberg (FAU) and Universitätsklinikum Erlangen, Erlangen, Germany; Deutsches Zentrum für Immuntherapie (DZI), Friedrich-Alexander-University Erlangen-Nürnberg and Universitätsklinikum Erlangen, Erlangen, Germany.
Simon VölklDepartment of Internal Medicine 5, Hematology and Oncology, Friedrich-Alexander-Universität Erlangen-Nürnberg and Universitätsklinikum Erlangen, Ulmenweg 18, 91054 Erlangen, Germany.
Uwe AppeltFlow cytometry core unit, Friedrich-Alexander-Universität Erlangen-Nürnberg, Glückstr. 6, 91054 Erlangen, Germany.
Markus MrozFlow cytometry core unit, Friedrich-Alexander-Universität Erlangen-Nürnberg, Glückstr. 6, 91054 Erlangen, Germany.
Raluca NiesnerDeutsches Rheumaforschungszentrum Berlin, Biophysikalische Analytik, Charitéplatz 1, 10117 Berlin, Germany; Freie Universität Berlin, Dynamisches und funktionelles in vivo Imaging, Adresse: Oertzenweg 19b, 14163 Berlin, Germany.
Anja HauserMedizinische Klinik mit Schwerpunkt Rheumatologie und Klinische Immunologie, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117 Berlin, Germany; Deutsches Rheumaforschungszentrum Berlin, Immundynamik, Charitéplatz 1, 10117 Berlin, Germany.
Rebecca Sophie FischerDivision of Molecular Immunology, Department of Internal Medicine 3, Friedrich-Alexander-Universität Erlangen-Nürnberg and Universitätsklinikum Erlangen, Nikolaus-Fiebiger-Center, Glückstr. 6, 91054 Erlangen, Germany.
Katharina PrachtDivision of Molecular Immunology, Department of Internal Medicine 3, Friedrich-Alexander-Universität Erlangen-Nürnberg and Universitätsklinikum Erlangen, Nikolaus-Fiebiger-Center, Glückstr. 6, 91054 Erlangen, Germany.
Hans-Martin JäckDivision of Molecular Immunology, Department of Internal Medicine 3, Friedrich-Alexander-Universität Erlangen-Nürnberg and Universitätsklinikum Erlangen, Nikolaus-Fiebiger-Center, Glückstr. 6, 91054 Erlangen, Germany.
Georg SchettDepartment of Internal Medicine 3 - Rheumatology and Immunology, Friedrich-Alexander-University Erlangen-Nürnberg (FAU) and Universitätsklinikum Erlangen, Erlangen, Germany; Deutsches Zentrum für Immuntherapie (DZI), Friedrich-Alexander-University Erlangen-Nürnberg and Universitätsklinikum Erlangen, Erlangen, Germany.
Gerhard KrönkeDepartment of Internal Medicine 3 - Rheumatology and Immunology, Friedrich-Alexander-University Erlangen-Nürnberg (FAU) and Universitätsklinikum Erlangen, Erlangen, Germany; Deutsches Zentrum für Immuntherapie (DZI), Friedrich-Alexander-University Erlangen-Nürnberg and Universitätsklinikum Erlangen, Erlangen, Germany; Medizinische Klinik mit Schwerpunkt Rheumatologie und Klinische Immunologie, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117 Berlin, Germany.
Dirk MielenzDivision of Molecular Immunology, Department of Internal Medicine 3, Friedrich-Alexander-Universität Erlangen-Nürnberg and Universitätsklinikum Erlangen, Nikolaus-Fiebiger-Center, Glückstr. 6, 91054 Erlangen, Germany. Electronic address: dirk.mielenz@fau.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe metabolism of different cells within the same microenvironment can differ and dictate physiological or pathological adaptions. Current single-cell analysis methods of metabolism are not label-free.

methodsThe study introduces a label-free, live-cell analysis method assessing endogenous fluorescence of NAD(P)H and FAD in surface-stained cells by flow cytometry.

resultsOxPhos inhibition, mitochondrial uncoupling, glucose exposure, genetic inactivation of glucose uptake and mitochondrial respiration alter the optical redox ratios of FAD and NAD(P)H as measured by flow cytometry. Those alterations correlate strongly with measurements obtained by extracellular flux analysis. Consequently, metabolically distinct live B-cell populations can be resolved, showing that human memory B-cells from peripheral blood exhibit a higher glycolytic flexibility than naïve B cells. Moreover, the comparison of blood-derived B- and T-lymphocytes from healthy donors and rheumatoid arthritis patients unleashes rheumatoid arthritis-associated metabolic traits in human naïve and memory B-lymphocytes.

conclusionsTaken together, these data show that the optical redox ratio can depict metabolic differences in distinct cell populations by flow cytometry.

Indexed as

B-LymphocytesFlavin-Adenine DinucleotideFlow CytometryNADSingle-Cell AnalysisArthritis, RheumatoidFemaleFluorescenceGlucoseGlycolysisHumansMaleMitochondriaOxidation-ReductionOxidative PhosphorylationT-LymphocytesFlavin-Adenine DinucleotideGlucoseNADFADFlow cytometryFluorescenceMetabolismNADHReal-time

Identifiers

PMID38971403
PMCPMC11300934

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