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Greiner S, Ebrahimi M, Rodewald M, Urbanek A, Meyer-Zedler T, Schmitt M, Neugebauer U, Popp J. Characterizing Metabolic Shifts in Septic Murine Kidney Tissue Using 2P-FLIM for Early Sepsis Detection. Bioengineering (Basel) 2025; 12:170. [PMID: 40001689 PMCID: PMC11851710 DOI: 10.3390/bioengineering12020170] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2024] [Revised: 02/04/2025] [Accepted: 02/07/2025] [Indexed: 02/27/2025] Open
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.
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Affiliation(s)
- Stella Greiner
- Leibniz 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; (S.G.); (M.E.); (A.U.); (T.M.-Z.); (M.S.); (U.N.)
- Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University Jena, Helmholtzweg 4, 07743 Jena, Germany
| | - Mahyasadat Ebrahimi
- Leibniz 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; (S.G.); (M.E.); (A.U.); (T.M.-Z.); (M.S.); (U.N.)
- Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University Jena, Helmholtzweg 4, 07743 Jena, Germany
| | - Marko Rodewald
- Dipartimento di Fisica, Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133 Milano, Italy;
| | - Annett Urbanek
- Leibniz 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; (S.G.); (M.E.); (A.U.); (T.M.-Z.); (M.S.); (U.N.)
| | - Tobias Meyer-Zedler
- Leibniz 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; (S.G.); (M.E.); (A.U.); (T.M.-Z.); (M.S.); (U.N.)
- Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University Jena, Helmholtzweg 4, 07743 Jena, Germany
| | - Michael Schmitt
- Leibniz 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; (S.G.); (M.E.); (A.U.); (T.M.-Z.); (M.S.); (U.N.)
| | - Ute Neugebauer
- Leibniz 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; (S.G.); (M.E.); (A.U.); (T.M.-Z.); (M.S.); (U.N.)
- Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University Jena, Helmholtzweg 4, 07743 Jena, Germany
- Center for Sepsis Control and Care and Department of Anaesthesiology and Intensive Care Medicine, Jena University Hospital, Am Klinikum 1, 07747 Jena, Germany
| | - Jürgen Popp
- Leibniz 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; (S.G.); (M.E.); (A.U.); (T.M.-Z.); (M.S.); (U.N.)
- Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University Jena, Helmholtzweg 4, 07743 Jena, Germany
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Zhao WT, Herrmann KH, Wei W, Krämer M, Dahmen U, Reichenbach JR. A quality assurance protocol for reliable and reproducible multi-TI arterial spin labeling perfusion imaging in rat livers. MAGMA (NEW YORK, N.Y.) 2025:10.1007/s10334-024-01223-1. [PMID: 39754650 DOI: 10.1007/s10334-024-01223-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/04/2024] [Revised: 12/11/2024] [Accepted: 12/20/2024] [Indexed: 01/06/2025]
Abstract
OBJECTIVE To establish an arterial spin labeling (ASL) protocol for rat livers that improves data reliability and reproducibility for perfusion quantification. METHODS This study used respiratory-gated, single-slice, FAIR-based ASL imaging with multiple inversion times (TI) in rat livers. Quality assurance measures included: (1) introduction of mechanical ventilation to ensure consistent respiratory cycles by controlling the respiratory rate (45 bpm), tidal volume (10 ml/kg), and inspiration: expiration ratio (I:E ratio, 1:2), (2) optimization of the trigger window for consistent trigger points, and (3) use of fit residual map and coefficient of variance as metrics to assess data quality. We compared image quality, perfusion maps, and fit residual maps between mechanically ventilated and non-ventilated animals, as well as repeated ASL measurements (session = 4 per animal) in two mechanically ventilated animals. RESULTS Perfusion measurements over multiple sessions in mechanically ventilated rats exhibited low perfusion data variability and high reproducibility both within and between liver lobes. Image quality and perfusion maps were significantly improved in mechanically ventilated animals compared to non-ventilated animals. DISCUSSION The implementation of mechanical ventilation and optimized quality assurance protocols enhanced the reliability and reproducibility of FAIR-based multi-TI-ASL imaging in rat livers. Our findings demonstrate these measures as a robust approach for achieving consistent liver perfusion quantification in preclinical settings.
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Affiliation(s)
- Wan-Ting Zhao
- Medical Physics Group, Institute of Diagnostic and Interventional Radiology, Jena University Hospital, Friedrich Schiller University Jena, Jena, Germany.
| | - Karl-Heinz Herrmann
- Medical Physics Group, Institute of Diagnostic and Interventional Radiology, Jena University Hospital, Friedrich Schiller University Jena, Jena, Germany
| | - Weiwei Wei
- Department of General, Visceral and Vascular Surgery, Experimental Transplantation Surgery, Jena University Hospital, Jena, Germany
| | - Martin Krämer
- Medical Physics Group, Institute of Diagnostic and Interventional Radiology, Jena University Hospital, Friedrich Schiller University Jena, Jena, Germany
- Institute of Diagnostic and Interventional Radiology, Jena University Hospital, Friedrich-Schiller University Jena, Jena, Germany
| | - Uta Dahmen
- Department of General, Visceral and Vascular Surgery, Experimental Transplantation Surgery, Jena University Hospital, Jena, Germany
| | - Jürgen R Reichenbach
- Medical Physics Group, Institute of Diagnostic and Interventional Radiology, Jena University Hospital, Friedrich Schiller University Jena, Jena, Germany
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Selby NM, Francis ST. Assessment of Acute Kidney Injury using MRI. J Magn Reson Imaging 2025; 61:25-41. [PMID: 38334370 PMCID: PMC11645494 DOI: 10.1002/jmri.29281] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Revised: 01/19/2024] [Accepted: 01/23/2024] [Indexed: 02/10/2024] Open
Abstract
There has been growing interest in using quantitative magnetic resonance imaging (MRI) to describe and understand the pathophysiology of acute kidney injury (AKI). The ability to assess kidney blood flow, perfusion, oxygenation, and changes in tissue microstructure at repeated timepoints is hugely appealing, as this offers new possibilities to describe nature and severity of AKI, track the time-course to recovery or progression to chronic kidney disease (CKD), and may ultimately provide a method to noninvasively assess response to new therapies. This could have significant clinical implications considering that AKI is common (affecting more than 13 million people globally every year), harmful (associated with short and long-term morbidity and mortality), and currently lacks specific treatments. However, this is also a challenging area to study. After the kidney has been affected by an initial insult that leads to AKI, complex coexisting processes ensue, which may recover or can progress to CKD. There are various preclinical models of AKI (from which most of our current understanding derives), and these differ from each other but more importantly from clinical AKI. These aspects are fundamental to interpreting the results of the different AKI studies in which renal MRI has been used, which encompass different settings of AKI and a variety of MRI measures acquired at different timepoints. This review aims to provide a comprehensive description and interpretation of current studies (both preclinical and clinical) in which MRI has been used to assess AKI, and discuss future directions in the field. LEVEL OF EVIDENCE: 1 TECHNICAL EFFICACY: Stage 3.
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Affiliation(s)
- Nicholas M Selby
- Centre for Kidney Research and Innovation, Academic Unit for Translational Medical Sciences, School of Medicine, University of Nottingham, Nottingham, UK
- Department of Renal Medicine, University Hospitals of Derby and Burton NHS Foundation Trust, Derby, UK
| | - Susan T Francis
- Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, Nottingham, UK
- NIHR Nottingham Biomedical Research Centre, Nottingham University Hospitals NHS Trust and The University of Nottingham, Nottingham, UK
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Tournebize C, Schleef M, De Mul A, Pacaud S, Derain-Dubourg L, Juillard L, Rouvière O, Lemoine S. Multiparametric MRI: can we assess renal function differently? Clin Kidney J 2025; 18:sfae365. [PMID: 40008350 PMCID: PMC11852294 DOI: 10.1093/ckj/sfae365] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2024] [Indexed: 02/27/2025] Open
Abstract
We are lacking tools to evaluate renal performance. In this review, we presented the current knowledge and potential future applications in nephrology of new magnetic resonance imaging (MRI) techniques, focusing on diffusion-weighted (DWI) MRI, blood oxygen level-dependent (BOLD) MRI, and magnetic resonance relaxometry (T1 and T2 mapping). These sequences are sensitive to early changes in biological processes such as perfusion, oxygenation, edema, or fibrosis without requiring contrast medium injection and avoids irradiation and nephrotoxicity. Combining these different sequences into the so-called "multiparametric MRI" enables noninvasive, repeated exploration of renal performance on each kidney separately. DWI MRI, which evaluates the movement of water molecules, is a promising tool for noninvasive assessment of interstitial fibrosis and the cortical restricted diffusion has a prognostic value for the deterioration of renal function in diabetic nephropathy. BOLD MRI is sensitive to changes in renal tissue oxygenation based on the paramagnetic properties of deoxyhemoglobin and is of particular interest in the setting of renal artery stenosis to assess tissue oxygenation in the post-stenotic kidney. This sequence can be used for predicting degradation of renal function in chronic kidney diseases (CKD) and might be useful in preclinical studies to assess nephroprotective and nephrotoxic effects of drugs in development. T1 and T2 relaxation times change with tissue water content and might help assessing renal fibrosis. A corticomedullary dedifferentiation in T1 has been observed in CKD and negatively correlates with glomerular filtration rate. Data on the significance of T2 values in renal imaging is more limited. Multiparametric MRI has the potential to provide a better understanding of renal physiology and pathophysiology, a better characterization of renal lesions, an earlier and more sensitive detection of renal disease, and an aid to personalized patient-centered therapeutic decision-making. Further data and clinical trials are needed to allow its routine application in clinical practice.
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Affiliation(s)
- Corentin Tournebize
- Service de néphrologie, dialyse, exploration fonctionnelle rénale, Hôpital Edouard Herriot, Hospices Civils de Lyon, Lyon, France
- Centre de Référence des Maladies Rares Rénales de la Réunion et du Grand-Est «MaReGe», filière ORKID, Lyon, France
- CarMeN Laboratory, Inserm U1060, INRA U1397, Université Claude Bernard Lyon-1, Bron, France
| | - Maxime Schleef
- Service de néphrologie, dialyse, exploration fonctionnelle rénale, Hôpital Edouard Herriot, Hospices Civils de Lyon, Lyon, France
- Centre de Référence des Maladies Rares Rénales de la Réunion et du Grand-Est «MaReGe», filière ORKID, Lyon, France
- CarMeN Laboratory, Inserm U1060, INRA U1397, Université Claude Bernard Lyon-1, Bron, France
| | - Aurélie De Mul
- Service de néphrologie, dialyse, exploration fonctionnelle rénale, Hôpital Edouard Herriot, Hospices Civils de Lyon, Lyon, France
- Centre de Référence des Maladies Rares Rénales de la Réunion et du Grand-Est «MaReGe», filière ORKID, Lyon, France
| | - Sophie Pacaud
- Service d'Imagerie Urinaire et Vasculaire, Hôpital Edouard Herriot, Hospices Civils de Lyon, Lyon, France
| | - Laurence Derain-Dubourg
- Service de néphrologie, dialyse, exploration fonctionnelle rénale, Hôpital Edouard Herriot, Hospices Civils de Lyon, Lyon, France
- Centre de Référence des Maladies Rares Rénales de la Réunion et du Grand-Est «MaReGe», filière ORKID, Lyon, France
| | - Laurent Juillard
- Service de néphrologie, dialyse, exploration fonctionnelle rénale, Hôpital Edouard Herriot, Hospices Civils de Lyon, Lyon, France
- Centre de Référence des Maladies Rares Rénales de la Réunion et du Grand-Est «MaReGe», filière ORKID, Lyon, France
- CarMeN Laboratory, Inserm U1060, INRA U1397, Université Claude Bernard Lyon-1, Bron, France
| | - Olivier Rouvière
- Service d'Imagerie Urinaire et Vasculaire, Hôpital Edouard Herriot, Hospices Civils de Lyon, Lyon, France
- LabTau, INSERM U1052, Université de Lyon, Lyon, France
| | - Sandrine Lemoine
- Service de néphrologie, dialyse, exploration fonctionnelle rénale, Hôpital Edouard Herriot, Hospices Civils de Lyon, Lyon, France
- Centre de Référence des Maladies Rares Rénales de la Réunion et du Grand-Est «MaReGe», filière ORKID, Lyon, France
- CarMeN Laboratory, Inserm U1060, INRA U1397, Université Claude Bernard Lyon-1, Bron, France
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Tasbihi E, Gladytz T, Millward JM, Periquito JS, Starke L, Waiczies S, Cantow K, Seeliger E, Niendorf T. In vivo monitoring of renal tubule volume fraction using dynamic parametric MRI. Magn Reson Med 2024; 91:2532-2545. [PMID: 38321592 DOI: 10.1002/mrm.30023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Revised: 01/05/2024] [Accepted: 01/06/2024] [Indexed: 02/08/2024]
Abstract
PURPOSE The increasing incidence of kidney diseases is a global concern, and current biomarkers and treatments are inadequate. Changes in renal tubule luminal volume fraction (TVF) serve as a rapid biomarker for kidney disease and improve understanding of renal (patho)physiology. This study uses the amplitude of the long T2 component as a surrogate for TVF in rats, by applying multiexponential analysis of the T2-driven signal decay to examine micromorphological changes in renal tissue. METHODS Simulations were conducted to identify a low mean absolute error (MAE) protocol and an accelerated protocol customized for the in vivo study of T2 mapping of the rat kidney at 9.4 T. We then validated our bi-exponential approach in a phantom mimicking the relaxation properties of renal tissue. This was followed by a proof-of-principle demonstration using in vivo data obtained during a transient increase of renal pelvis and tubular pressure. RESULTS Using the low MAE protocol, our approach achieved an accuracy of MAE < 1% on the mechanical phantom. The T2 mapping protocol customized for in vivo study achieved an accuracy of MAE < 3%. Transiently increasing pressure in the renal pelvis and tubules led to significant changes in TVF in renal compartments: ΔTVFcortex = 4.9%, ΔTVFouter_medulla = 4.5%, and ΔTVFinner_medulla = -14.6%. CONCLUSION These results demonstrate that our approach is promising for research into quantitative assessment of renal TVF in in vivo applications. Ultimately, these investigations have the potential to help reveal mechanism in acute renal injury that may lead to chronic kidney disease, which will support research into renal disorders.
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Affiliation(s)
- Ehsan Tasbihi
- Berlin Ultrahigh Field Facility, Max Delbrueck Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany
- Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Thomas Gladytz
- Berlin Ultrahigh Field Facility, Max Delbrueck Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany
| | - Jason M Millward
- Berlin Ultrahigh Field Facility, Max Delbrueck Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany
- Hasso Plattner Institute for Digital Engineering, University of Potsdam, Potsdam, Germany
| | - Joāo S Periquito
- Berlin Ultrahigh Field Facility, Max Delbrueck Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany
| | - Ludger Starke
- Berlin Ultrahigh Field Facility, Max Delbrueck Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany
- Experimental and Clinical Research Center, a Joint Cooperation Between the Charité Medical Faculty and the Max Delbrück Center for Molecular Medicine, Berlin, Germany
| | - Sonia Waiczies
- Berlin Ultrahigh Field Facility, Max Delbrueck Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany
- Hasso Plattner Institute for Digital Engineering, University of Potsdam, Potsdam, Germany
| | - Kathleen Cantow
- Institute of Translational Physiology, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Erdmann Seeliger
- Institute of Translational Physiology, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Thoralf Niendorf
- Berlin Ultrahigh Field Facility, Max Delbrueck Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany
- Experimental and Clinical Research Center, a Joint Cooperation Between the Charité Medical Faculty and the Max Delbrück Center for Molecular Medicine, Berlin, Germany
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Zöllner FG, Caroli A, Selby NM. Editorial for "Perfusion and T 2 Relaxation Time as Predictors of Severity and Outcome in Sepsis-Associated Acute Kidney Injury: A Preclinical MRI Study". J Magn Reson Imaging 2023; 58:1964-1965. [PMID: 36951531 DOI: 10.1002/jmri.28696] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Accepted: 02/24/2023] [Indexed: 03/24/2023] Open
Affiliation(s)
- Frank G Zöllner
- Computer Assisted Clinical Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Mannheim Institute for Intelligent Systems in Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Cooperative Core Facility Animal Scanner ZI, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Anna Caroli
- Bioengineering Department, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Bergamo, Italy
| | - Nicholas M Selby
- Centre for Kidney Research and Innovation, Academic Unit for Translational Medical Sciences, School of Medicine, University of Nottingham, Nottingham, UK
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