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npj Imaging logoLink to npj Imaging
. 2025 Apr 9;3:14. doi: 10.1038/s44303-025-00075-1

Manganese-based type I collagen-targeting MRI probe for in vivo imaging of liver fibrosis

Chunxiang Zhang 1, Hua Ma 1, Daniel DeRoche 1, Eric M Gale 1, Pamela Pantazopoulos 1, Nicholas J Rotile 1, Himashinie Diyabalanage 2, Valerie Humblet 2, Peter Caravan 1,, Iris Y Zhou 1,
PMCID: PMC12118721  PMID: 40603699

Abstract

Liver fibrosis is a common pathway shared by all forms of progressive chronic liver disease. There is an unmet clinical need for noninvasive imaging tools to diagnose and stage fibrosis, which presently relies heavily on percutaneous liver biopsy. Here, we explored the feasibility of using a novel type I collagen-targeted manganese (Mn)-based MRI probe, Mn-CBP20, for liver fibrosis imaging. In vitro characterization of Mn-CBP20 demonstrated its high binding affinity for human collagen (Kd = 9.6 µM), high T1-relaxivity (48.9 mM−1 s−1 at 1.4 T and 27 °C), and kinetic inertness to Mn release under forcing conditions. We demonstrated MRI using Mn-CBP20 performs comparably to previously reported gadolinium-based type I collagen-targeted probe EP-3533 in a mouse model of carbon tetrachloride-induced liver fibrosis, and further demonstrate efficacy to detect fibrosis in a diet-induced mouse model of metabolically-associated steatohepatitis. Biodistribution studies using the Mn-CBP20 radiolabeled with the positron-emitting 52Mn isotope demonstrate efficient clearance of Mn-CBP20 primarily via renal excretion. Mn-CBP20 represents a promising candidate that merits further evaluation and development for molecular imaging of liver fibrosis.

Subject terms: Diseases, Magnetic resonance imaging, Molecular imaging, Imaging studies

Introduction

Chronic liver disease (CLD) is a major global health burden that contributes to approximately 2 million deaths annually worldwide1. Sustained insult resulting from conditions including hepatitis B or C virus infection, fatty liver disease, alcohol use, toxins, and autoimmune and genetic disorders, can result in chronic activation and dysregulation of tissue repair mechanisms leading to liver fibrosis2,3. Regardless of the underlying cause, liver fibrosis is a common pathological feature of all progressive liver disease and is associated directly with poor outcomes, including cirrhosis, hepatocellular carcinoma, and liver failure4,5. Meanwhile, the liver can potentially regress or reverse established fibrosis when the underlying cause is promptly identified and effectively eliminated6. In this regard, liver fibrosis assessment is key to prognosticating CLD outcomes and to evaluating response to therapy. Liver biopsy is the current gold standard for diagnosing and staging liver fibrosis, but the procedure is invasive and carries non-negligible risks of pain, bleeding, and infection, and samples online a small portion of the liver7. Serum biomarkers of liver function, extracellular matrix (ECM) production, and fibrogenesis-related cytokines, have been evaluated as potential noninvasive alternative to liver biopsy8,9. However, many of these biomarkers lack sensitivity and/or specificity, risk false negative in end-stage CLDs, and can be confounded by a wide variety of extrahepatic disorders10,11. Thus, there is an unmet need for noninvasive imaging to detect, tomographically map, quantify, and surveil the progression and resolution of liver fibrosis.

Clinical imaging modalities such as ultrasound and magnetic resonance (MR)-based elastography are widely used for the detection of liver fibrosis by measuring tissue stiffness1214. However, both methods are more effective for the detection of advanced fibrosis than the diagnosis and staging of earlier fibrosis. Molecular MR imaging using probes targeted to type I collagen, a protein that is abundantly present in the extracellular matrix of fibrotic tissue, has shown promise in experimental studies to detect and quantify liver fibrosis in animal models1518. For example, MRI using the gadolinium (Gd)-based type I collagen-targeted probe EP-3533 was shown to provide higher sensitivity than MR elastography to diagnose early-stage liver fibrosis in a rat model of diethylnitrosamine-induced liver fibrosis18. There are concerns over a rare but debilitating condition called nephrogenic systemic fibrosis related to Gd retention in renally impaired patients19,20. Even in patients with normal renal function, long-term retention of Gd after linear or macrocyclic Gd-based contrast agents (GBCAs) is well documented despite unclear direct adverse effects2123, heightening the need for developing Gd-free alternatives.

In this study, we explored the feasibility of using a novel type I collagen-targeted manganese (Mn)-based MRI probe, Mn-CBP20, for liver fibrosis imaging. We demonstrate high affinity for type I collagen and high relaxivity similar to EP-3533, demonstrate how MRI using Mn-CBP20 performs comparably to EP-3533 in a mouse model of carbon tetrachloride (CCl4)-induced liver fibrosis, and further demonstrate efficacy to detect fibrosis in a choline-deficient, l-amino acid-defined, high-fat diet (CDAHFD) mouse model of metabolically-associated steatohepatitis (MASH). While both models share the pathological feature of fibrosis, the underlying pathogenesis is different, with CCl4 representing toxin-induced oxidative stress and injury and CDAHFD mimicking human MASH with respect to metabolic dysregulation and steatosis. Biodistribution studies using the Mn-CBP20 radiolabeled with the positron-emitting 52Mn isotope demonstrate efficient clearance of Mn-CBP20 primarily via renal excretion.

Methods

Synthesis of Mn-CBP20

A batch of 0.204 g (0.091 mmol) collagen-binding peptide CM101P was stirred in 6 mL dimethylformamide (DMF). To this mixture, a few drops of N,N-diisopropylethylamine (DIPEA) were added so that pH check on wetted pH paper returned pH ≥8.5 and the solution turned from heterogenous to clear and homogenous. Next, a total of 149 mg (0.45 mmol) CDTA-monoanhydride was added in three equal portions (48, 52, and 49 mg each) roughly 1 h apart and the reaction was monitored by liquid chromatography-mass spectrometry (LC-MS). The addition of CDTA-monoanhydride initially resulted in a heterogenous white mixture, which becomes clear and homogenous upon conversion to the tri-acetylated intermediate. The DMF solution was added dropwise into 95 mL EtOAc, and the resultant white solids were isolated by centrifugation and decanting the supernatant. The crude solids were next taken up in 20 mL water, and then 90 mg MnCl2•4H2O (0.45 mmol) were added, and the solution was adjusted pH 7 using NaOH. Any solids were removed by filtration and the mixture was purified by reverse phase HPLC using a Teledyne IPSCO RediSep Gold C18 column. Mobile phase A: water adjusted to pH 7.0, Eluent B: Acetenitrile. Gradient program: 5% B for 2 column volumes, ramp from 5 to 50% B over 8 column volumes, hold at 50% B for 4 column volumes. Fractions containing pure Mn-CBP20 were pooled and lyophilized to obtain 110 mg (0.033 mmol, 36% yield) of Mn-CBP20 as white solids. ESI-MS: m/2z = 1693.2 [M + 5H]2+; calcd. 1693.1.

Relaxivity measurements

Relaxivity measurements were performed on a Magritek Spinsolve 60 MHz Multi-X Plus NMR spectrometer (1.41 T and 27 °C), a Siemens Biograph mMR scanner (3 T and 27 °C), and a Bruker Biospec scanner (4.7 T and 27 °C). At 1.41 T, longitudinal (T1) relaxation was acquired via an inversion recovery measurement: repetition time: 10 s; maximum inversion time: 5 s; number of steps: 10; and transverse (T2) relaxation was measured using a Carr–Purcell–Meiboom–Gill spin echo measurement: repetition time: 4 s; number of steps: 10; echo time: 0.2 ms; final echo time 200 ms. In addition, T1 relaxation measurement was performed with an inversion recovery gradient echo sequence at 3 T using 8 different inversion times ranging from 100 to 1300 ms, and at 4.7 T with 14 different inversion times ranging from 12.5 to 5000 ms. T1 values of various probe concentrations were measured by fitting the inversion recovery signal intensities as a function of the inversion time; and T2 values of various probe concentrations were measured by fitting the signal intensities as a function of the echo time using algorithms written in MATLAB 2023b (MathWorks, Natick, MA). Relaxivity (r1,2) was determined from the slope of the plot of 1/T1,2 vs. probe concentration for at least four concentrations.

Collagen-binding affinity assay

Mn-CBP20 binding affinity to human type I collagen was evaluated by incubating varied concentrations of the probe with type I collagen deposited on a well plate or in a blank well for 2 h as described previously16,24. The same experiment using EP-3533 was performed side by side for comparison. Mn and Gd concentration in the blank well and in the collagen-containing well were measured by ICP-MS to determine the total probe concentration and unbound probe concentration, respectively. The difference in total and unbound probe concentration corresponds to the concentration of the probe that is bound to collagen. To estimate binding affinity, the data were plotted and fit according to the following equation

[bound][collagen]=N[free]Kd+[free]

Where N corresponds to the number of binding sites per collagen monomer, and Kd corresponds to the dissociation constant. Here N was fixed to 2.

[52Mn]Mn-CBP20 radiolabeling

An aliquot of 70.3 MBq 52MnCl2 in 0.3 mL HCl (0.1 M) (t1/2 = 5.6 days, obtained from the Cyclotron Facility at the University of Alabama, Birmingham, AL) was spiked to 1 mL stock solution of Mn-CBP20 (6 mM, pH 6-7). The pH was carefully adjusted to pH 3 by adding 1 M HCl and stirred at room temperature for 1 h, and then the pH was adjusted back to pH 6 to 7 by adding 1 M NaOH. The volume of added HCl and NaOH was recorded, and the total volume was then brought to 2 mL accordingly by adding sterile saline.

Animal models

All animal experiments were performed in accordance with the NIH Guide for the Care and Use of Laboratory Animals and in compliance with the ARRIVE guidelines25 and approved by the MGH Institutional Animal Care and Use Committee. A total of 38 C57BL/6 mice (Charles River Laboratories, Wilmington, MA) were studied. All the mice were housed in an animal facility under controlled temperature and 12-h light/12-h dark cycle conditions.

CCl4-induced liver fibrosis

Male C57BL/6 mice (6-week-old) were treated with an oral gavage of carbon tetrachloride for 6 weeks (N = 5) or 12 weeks (N = 5) (2–3 times per week, 0.1 mL of 20% CCl4 in olive oil the first week, 30% the second week, and 40% from weeks 3 through 6 or 12). Control mice were treated with vehicle (olive oil) only for 6 weeks (N = 5) or 12 weeks (N = 3). In the 12-week CCl4 group, there was 1 death due to accidental instillation of CCl4 into the trachea, and 1 death in the 10th week, leaving 3 mice undergoing MRI and tissue analysis. Animals treated with CCl4 or vehicle for 6 weeks were imaged with Mn-CBP20 (10 µmol/kg). Animals treated with CCl4 or vehicle for 12 weeks were imaged with Mn-CBP20 (10 µmol/kg) and EP-3533 (10 µmol/kg) on 2 consecutive days in a random order.

CDAHFD model of MASH

To induce MASH, 6-week-old, male C57BL/6 mice were fed CDAHFD (N = 5) consisting of 60 kcal% fat and 0.1% methionine by weight (A06071302; Research Diets, New Brunswick, NJ) for 6 weeks. Another group of gender and age-matched mice (N = 3) were fed standard chow for 6 weeks.

Biodistribution and elimination

An additional group of 20 adult C57BL/6 mice (10–12 weeks old, 10 males and 10 females) received Mn-CBP20 radiolabeled with Mn-52. Each mouse was administered a cocktail dose of 52/natMn-CBP20 (52Mn complex: 2.3–3.1 MBq, natMn complex: 10 µmol/kg body weight). After injection, mice were housed in cages with bedding changed every 8 h to prevent reabsorption of excreted dose. At day 1 and day 7 post-injection, respectively, 5 male and 5 female mice underwent PET-CT and were euthanized to evaluate biodistribution and elimination of the probe.

MRI data acquisition and analysis

Animals were anesthetized with isoflurane (3%) and placed in a specially designed cradle with body temperature maintained at 37 °C. The isoflurane level was maintained at 1–2% for a respiration rate of 60 ± 5 breaths per minute. Imaging was performed using a 4.7 Tesla MRI scanner (Bruker, Billerica, MA) with a custom-built volume coil. The tail vein was cannulated for i.v. delivery of the MRI probe. A series of three-dimensional (3D) T1-weighted fast low-angle shot (FLASH) MR images were first acquired (repetition time/echo time = 15/2 ms; field of view = 48 mm × 30 mm×25 mm; matrix = 192 × 120 × 100; flip angle = 30°; acquisition time = 3 min), then a bolus of molecular probe was administered intravenously, and imaging was repeated with the 3D T1-weighted FLASH for 45 min. After the imaging session, animals were sacrificed (90 min after injection), and the liver tissue was subjected to histopathologic analysis.

The liver-to-muscle contrast-to-noise ratio (CNR) was calculated as the difference in signal-to-noise ratio between liver and muscle regions of interest (ROI). An ROI was manually traced, encompassing the liver parenchyma while avoiding major blood vessels. A second ROI was placed on the dorsal muscle visible in the same image slice to quantify the signal intensity in the muscle for comparison. The third ROI was placed in the field of view without any tissue (air) to measure the variation in the background signal. The same analysis was performed on the pre- and post-injection images acquired with the FLASH sequence. Image visualization and quantification were performed in AMIDE26. CNR was calculated by subtracting the signal intensity (SI) in the muscle from that in the liver and normalizing to the standard deviation (SD) of the signal in the air outside the animal, CNR = (SIliver − SImuscle)/SDair. ΔCNR was calculated by subtracting the CNRpre from CNRpost, ΔCNR = CNRpost – CNRpre. A blood ROI was positioned in the left ventricular blood pool. The dynamic MRI signal time courses of the liver or blood were calculated by measuring the percentage change in signal intensity between post-injection and pre-injection images.

PET-CT imaging

Mice were imaged in a MultiScan™ LFER 150 PET/CT scanner (Mediso USA, LLC; Arlington, VA, USA). Static PET data were acquired in list mode and were reconstructed using the 3D ordered subset expectation maximization (OSEM) image reconstruction algorithm with 30 iterations and 1 subset (Tera-Tomo 3D) and were corrected for scatter and attenuation. Image visualization and quantification were performed in Horos (Horosproject.org, Nimble Co LLC d/b/a Purview, Annapolis, MD, USA).

Tissue analysis

After imaging, the animals were sacrificed under anesthesia, and the liver tissues were harvested. One piece of the left lobe of the liver was fixed in 4% paraformaldehyde in PBS, dehydrated, embedded in paraffin, and then sectioned into 5-μm-thick slices at 100 μm intervals for later staining with Sirius Red and hematoxylin and eosin (H&E). Another piece of the left lobe was quickly frozen in liquid nitrogen for later hydroxyproline analysis. For the CCl4 model (N = 8) and vehicle-treated (N = 8) animals, the collagen proportional area (CPA), as determined by the percentage area stained with Sirius Red, was quantified and averaged from the histologic images from five sections at different level per animal by using ImageJ27,28. For the CDAHFD model (N = 5) and age-matched normal (N = 3) animals, hydroxyproline in the liver tissue weighing at ~200 mg was quantified with high-performance liquid chromatography analysis of tissue acid digests as previously described29,30. Hydroxyproline is expressed as the amount per wet weight of tissue.

Ex vivo Mn-52 quantification

Ex vivo quantification of 52Mn activity in each injected dose was determined using a Capintec CRC-15PET dose calibrator. Injected dose activity was determined from the difference in activity recorded in the loaded syringe and injection line prior to and after injection. This value was then adjusted by subtracting the activity measured from the injection site (tail). Quantification of Mn-52 activity in ex vivo tissue samples was performed using a Perkin Elmer 2480 Wizard2 gamma counting system. The percentage injected (%ID) dose in ex vivo tissue samples was determined by comparing tissue counts to a measured aliquot of the injected dose. Bone, blood, fat, and muscle were estimated to account for 13%, 7%, 13%, and 40% of the total body weight. All measurements were corrected to account for decay.

Statistical analysis

Data are reported as the means ± SD. Differences between the two groups were tested with a two-tailed paired or unpaired t test. Differences among more than two groups were tested with one-way analysis of variance (ANOVA), followed by Tukey’s post hoc test with P < 0.05. Correlations between CPA and MR imaging metrics (ΔCNR) of fibrosis were assessed with the Pearson correlation coefficient. P values less than 0.05 were considered to indicate statistical significance. All statistical analyses were performed using GraphPad Prism 10 (GraphPad software).

Results

Mn-CBP20 design and synthesis

We sought a Mn-based imaging probe construct that binds type I collagen specifically and with high avidity, is thermodynamically stable and kinetically inert with respect to Mn release, and can be manufactured in as few synthetic steps as possible. For targeting of type I collagen we utilized the peptide CM101P, which is based on collagen-specific cyclic decapeptide sequences identified through a phage display screen and has been further optimized for collagen binding24. CM101P is the same disulfide bridged cyclic decapeptide with flanking amino acids that was employed in the previously reported collagen-targeted probes EP-3533, CM-101, and SNIO-CBP16,24,31. To tightly incorporate Mn2+ as the MR signal-generating component, the peptide was conjugated with three CDTA-monoamide ligands. Prior studies have demonstrated how hexadentate ligands built from the rigid trans-1,2-diaminocylcohexane core bind Mn2+ with high-thermodynamic stability and are kinetically inert to Mn2+ de-chelation3237 Furthermore, the CDTA-monoanhydride synthon used for ligand conjugation can be generated cleanly and quantitatively from inexpensive materials in a single step.

The synthesis of Mn-CBP20 is outlined in Fig. 1. Briefly, CDTA-monoanhydride was synthesized from commercially available CDTA by stirring in acetic anhydride with pyridine added, as reported previously38 and then conjugated with CBP via stirring in DMF with DIPEA. Next, the crude reaction product containing L-CBP20 was reacted with MnCl2 and Mn-CBP20 isolated after purification RP-HPLC in 36% overall yield based on CM101P.

Fig. 1. Synthesis of Mn-CBP20.

Fig. 1

(i) acetic acid, pyridine, RT, 38 h; (ii) CDTA-mA, DMF, DIPA, RT; (iii) MnCl2•4H2O, pH 7 H2O.

Mn-CBP20 physical properties are well-suited for molecular MR imaging of collagen

Mn-CBP20 binds to human collagen with comparable affinity to the previously reported probe EP-353315,18,24,28,3943 (Fig. 2A). The collagen affinity of Mn-CBP20 was similar to that of EP-3533 with Kd values of 9.5 ± 2.5 µM and 5.5 ± 1.1 µM, respectively.

Fig. 2. In vitro assays for collagen binding and kinetic inertness.

Fig. 2

A Plots of free vs collagen bound Mn-CBP20 (black circles) and EP-3533 (open green circles) demonstrate comparable affinity for human type I collagen at RT. B Kinetics of Mn2+ dissociation from Mn-CBP20 (black circles and Mn-CDTA (open black circles) under forcing conditions (0.5 mM Mn2 + , 10 mM Zn(OT)2, pH 7.4 50 mM Tris: 18 mM citrate, 27 °C) monitored by r2 change at 1.4 T and indicates Mn-CBP20 is more kinetically inert than Mn-CDTA. The dotted black line corresponds to the r2 value of MnCl2•4H2O dissolved in the corresponding buffer mixture.

Mn-CBP20 possesses high relaxivity required for in vivo imaging of type I collagen deposition. The r1 value of Mn-CBP20 in pH 7.4 solution (10 mM citrate) at 1.4 T and 27 °C is or 48.9 mM−1 s−1 per peptide construct (16.3 mM−1 s−1 per Mn2+ ion), which is comparable to previously reported r1 of EP-3533 recorded under similar, although not identical, conditions, Table 1.

Table 1.

Comparisons of Mn-CBP20 and EP-3533 physical properties relevant to collagen molecular imaging.

Kd (µM)a Per molecule r1 (mM−1 s−1) Per metal ion r1 (mM−1 s−1) Per molecule r2 (mM−1 s−1) Per metal ion r2 (mM−1 s−1)
1.41 T 3 T 4.7 T 1.41 T 3 T 4.7 T
Mn-CBP20 9.5 48.9b 27.7d 17.1e 16.3b 9.23d 5.69e 117.9b 39.3b
EP-3533 5.5 48.3c 29.6d 21.4e 16.1c 9.85d 7.13e 77.7c 25.9c

aKd determined in the presence of human type I collagen; b1.41 T and 27 °C, pH 7.4, 50 mM Tris: 10 mM citrate; c1.41 T and 37 °C, PBS; d3 T and 27 °C, PBS; e4.7 T and 27 °C, PBS.

To assess kinetic inertness to Mn2+ release, we evaluated Mn2+ dissociation kinetics upon challenge of 0.167 mM Mn-CBP20 (0.5 mM Mn2+) with 10 mM Zn(OTf)2 in the presence of pH 7.4 50 mM Tris/18 mM citrate buffer (Fig. 2B). The presence of a weak chelator such as citrate is required to maintain homogenous reaction conditions during the course of the measurement, as treatment of Mn-CBP20 with even 1 mol equiv. Zn2+ in the absence of chelating buffer precipitates solids from the reaction mixture. Mn2+ dissociation was monitored by observing change in r2. Under this set of assay conditions, the r2 value associated with dissociated Mn2+ (16.3 mM−1 s−1) is approximately half that of Mn2+ bound within Mn-CBP20. As a positive control, we monitored Mn2+ dissociation from the kinetically inert complex Mn-CDTA (r2 = 5.9 mM−1 s−1). Under these assay conditions, Mn2+ dissociates from Mn-CBP20 with half-life (t1/2) of 22.5 h. Dissociation from Mn-CDTA is slightly faster, with t1/2 of 15.5 h.

Mn-CBP20 enhanced MRI detects collagen deposition in the mouse model of CCl4-induced liver fibrosis

Sirius Red staining and quantitation of liver collagen show that the percentage collagen proportional area (CPA) was significantly elevated in mice receiving 6-weeks CCl4 treatment vs vehicle-treated control (2.8 ± 1.0% vs 0.4 ± 0.2%, respectively, P = 0.03) (Fig. 3A, B). CPA further increased after 12 weeks in CCl4-treated mice compared to control (6.9 ± 2.4% vs. 0.8 ± 0.2%, respectively, P < 0.001; P = 0.002 vs 6-week CCl4 treatment).

Fig. 3. Molecular MRI using Mn-CBP20 in mice treated with carbon tetrachloride (CCl4) or vehicle (olive oil) for 6 or 12 weeks to induce liver fibrosis or to serve as controls.

Fig. 3

A Representative histologic images of the liver tissues from CCl4 and control mice, stained with Sirius Red. Scale bar: 250 μm. B Total collagen assessed by collagen proportional area (CPA) in Sirius Red stained slides as a fibrosis measure in CCl4 and control groups. C T1-weighted MRI images acquired before and 45 min post-injection of Mn-CBP20 (10 µmol/kg). D Comparisons of liver MRI signals in CCl4 and control groups, quantified by changes in liver-to-muscle contrast-to-noise ratio (∆CNR) at 45 min post-injection of Mn-CBP20. One-way ANOVA, *P < 0.05, **P < 0.01, ***P < 0.001, data are shown as means ±SD. E Correlation plot of ΔCNR (Mn-CBP20) versus %CPA (Sirius Red) in mouse livers showing linear correlation (r = 0.91, P < 0.001).

Increased liver collagen in CCl4-treated mice was reflected in the molecular MR imaging data. Axial T1-weighted liver images acquired prior to and 45 min after injection of Mn-CBP20 into mice receiving either 6-week or 12-week regimens of vehicle or CCl4 treatment are shown in Fig. 3C. The images reflect near complete Mn-CBP20 washout from the liver of vehicle-treated mice but marked delayed liver enhancement in CCl4-treated mice. The (pre-post) injection increase in liver-to-muscle contrast-to-noise ratio (ΔCNR) values recorded 45 min after Mn-CBP20 injection were significantly greater in mice receiving 6 weeks of treatment with CCl4 compared to vehicle-treated control (3.8 ± 0.3 vs. 2.3 ± 0.2, respectively, P = 0.03) (Fig. 3D). Similarly, the ΔCNR values recorded in mice receiving 12 weeks of CCl4 treatment were significantly higher than mice receiving 12 weeks of vehicle (4.7 ± 1.5 vs. 2.4 ± 0.5, respectively, P = 0.009) (Fig. 3D). Furthermore, the ΔCNR values recorded following the injection of Mn-CBP20 correlated tightly with CPA (r = 0.91, P < 0.001) (Fig. 3E).

As expected from the in vitro characterization data, Mn-CBP20 performs similarly to EP-3533 for MR imaging of liver fibrosis. Figure 4A, B compares the time course of percentage liver signal change in mice receiving either 12 weeks of treatment with CCl4 or vehicle control following injection of Mn-CBP20 or EP-3533, respectively. Both probes differentially generated greater liver enhancement in CCl4 treated mice that is sustained from 1 min post-injection up to at least 55 min post-injection. There was no difference in blood half-life in the CCl4 and vehicle-treated mice for EP-3533 (17.8 ± 2.5 min vs. 18.9 ± 2.6 min, P = 0.86) or Mn-CBP20 (13.5 ± 1.5 min vs. 12.2 ± 2.4 min, P = 0.76), as shown in Fig. 4C, D. Separate comparisons of ΔCNR generated 45 min after injection of either probe in CCl4 vs. vehicle-treated mice indicate that Mn-CBP20 offers comparable sensitivity to EP-3533 for detection of liver fibrosis (Fig. 4E).

Fig. 4. Liver and blood MRI signal dynamics post-injection of collagen-targeted probes EP-3533 or Mn-CBP20.

Fig. 4

Comparisons of liver percentage signal change (%SI) over time in 12-week CCl4 mice and vehicle-treated control mice administered with A EP-3533 (10 µmol/kg) or B Mn-CBP20 (10 µmol/kg) (n = 3/group). Blood %SI over time from the same groups received C EP-3533 (10 µmol/kg) or D Mn-CBP20 (10 µmol/kg). E Both collagen-targeted probes, EP-3533 and Mn-CBP20 induced significantly greater ∆CNR at 45 min post-injection in the livers of 12-week CCl4 mice as compared to controls. One-way ANOVA, *P < 0.05, **P < 0.01, data are shown as means ±SD.

Mn-CBP20 enhanced MRI detects liver fibrosis in a nutritional mouse model of MASH

We further evaluated Mn-CBP20 molecular MRI as a marker of liver fibrosis using age-matched mice receiving either a 6-week regimen of CDAHFD or standard chow. CDAHFD results in steatohepatitis that recapitulates salient features of human MASH including liver fibrosis, as evidenced by the histologic data from one representative animal in each group shown in Fig. 5A, where severe steatosis and increased liver collagen are evident in specimens stained with H&E and Sirius Red, respectively. HPLC quantitation of liver hydroxyproline content, an amino acid that is highly abundant in type 1 collagen, indicates that levels are significantly higher in mice fed CDAHFD vs standard diet (638 ± 135 μg/g vs. 196 ± 61 μg/g, respectively, P = 0.002) also consistent with liver fibrosis (Fig. 5B).

Fig. 5. Molecular MRI using Mn-CBP20 in mice fed with choline-deficient L-amino acid-defined high-fat diet (CDAHFD) or standard chow (naïve) for 6 weeks.

Fig. 5

A Histologic images of the liver tissues from a representative mouse in each group, stained with H&E and Sirius Red, respectively. Scale bar: 250 μm. B Total collagen assessed by hydroxyproline assay as a fibrosis measure in CDAHFD and naïve control groups. Unpaired Student’s t test, *P < 0.05, data are shown as means ±SD. C T1-weighted MRI images acquired before and 40 min post-injection of Mn-CBP20 (10 µmol/kg). D Comparisons of liver ∆CNR at 35-45 min post-injection of Mn-CBP20.

Figure 5C shows axial T1-weighted images recorded in mice fed CDAHFD and standard diet prior to and 45 min after injection of Mn-CBP20. Markedly stronger liver enhancement is observed in CDAHFD, consistent with increased liver collagen content. The effect is also reflected in the quantitation of liver enhancement, with significantly greater ΔCNR in mice fed CDAHFD vs. standard diet (4.9 ± 0.8 vs. 3.1 ± 0., P = 0.02) (Fig. 5D). The liver ΔCNR showed a significant positive correlation with liver hydroxyproline content (r = 0.92, P = 0.001).

Mn biodistribution

52Mn biodistribution was evaluated following injection of [52Mn]Mn-CBP20 mixed with natMn-CBP20 at the same mass dose as used for MRI. This radiolabeling approach enables us to tomographically visualize whole-body biodistribution of administered Mn in vivo using PET, and to definitively discern administered Mn from endogenous Mn in tissues.

Whole-body PET-CT images recorded 1 and 7 days after [52Mn]Mn-CBP20 injection are shown in Fig. 6A and ex vivo 52Mn biodistribution data are shown in Fig. 6B, C and also tabulated in Supplementary Tables 1 and 2. The highest concentration of 52Mn 1 day after injection is found in the kidneys, consistent with the expected renal elimination of the compound. Substantial activity is also found in the liver and organs of the gastrointestinal tract which could be related to partial elimination of the probe. However, Mn is also eliminated via the hepatobiliary path, and we cannot presently rule out the possibility that de-chelated 52Mn also contributes to this signal. Other tissues with relatively high concentrations of 52Mn 1 day after [52Mn]Mn-CBP20 injection include the pancreas, heart, and salivary glands. By day 7, residual activity in the kidney, liver, gastrointestinal tract, pancreas, and heart decreased substantially, but relatively high levels of residual activity in the salivary glands persisted. This observation is consistent with prior studies in which persistent 52Mn activity was observed in the salivary glands of mice treated with [52Mn]Mn-DPDP35. We note that salivary Mn levels have previously been evaluated as a biomarker of low-level Mn exposure44.

Fig. 6. Biodistribution of Mn-CBP20 probe in healthy control mice.

Fig. 6

A Whole-body PET-CT(color scale) images of normal mice imaged at 1 day and 7 days post-injection of [52Mn]Mn-CBP20. PET imaging is reported as a percentage injected dose per cubic centimeter (% ID/cc). Ex vivo biodistribution of [52Mn]Mn-CBP20 at B 1 day and C 7 days p.i., expressed as percent injected dose per gram of tissue (%ID/g) in various organs and tissue. n = 10 mice (5 males and 5 females)/timepoint. Data are shown as means ±SD.

Discussion

Liver fibrosis is a hallmark feature of progressive CLD, and the fibrosis stage is a predictive marker for poor outcomes such as liver cancer or end-stage liver disease4547. Patients with advanced-stage liver fibrosis face a high risk of death from CLD and few available treatment options. Patients with mild to moderate fibrosis stand a better chance of benefitting from interventions to halt or even reverse CLD progression48. However, moderate fibrosis often occurs in the absence of clinical signs and too often remains undetected until progression to a more advanced stage. Patients suffering from progressive CLD could benefit immensely from noninvasive tools to diagnose, stage, and track the progression or resolution of moderate liver fibrosis.

A prior study using a rat model of bile duct ligation indicated that molecular MR imaging using the experimental type I targeted probe EP-3533 in rats provided sensitivity to detect mild and moderate liver fibrosis that could not be detected using MR elastography18. Although the technology is promising, challenges to developing EP-3533 for clinical imaging are anticipated. EP-3533 uses Gd as the MR signal-generating component. Concerns over the presence of residual Gd that is retained by patients who receive contrast-enhanced MRI scans have been widely publicized and contributed to a challenging regulatory landscape for the development of new Gd-based imaging probes.

Mn-based imaging probes offer a potentially viable alternative to Gd-based imaging probes. The Mn2+ ion is a very effective T1-relaxation agent, and Mn2+ is an endogenously present nutritional element49. Mn-based MRI agents have an established history of clinical application. Mangafodipir trisodium (Teslascan®) was approved for liver imaging in the US and EU but is no longer marketed50,51. Mn-DPDP enhances the hepatobiliary system via the transient accumulation of the dissociated Mn2+ in hepatocytes. Therefore, Mn-DPDP needs to be infused due to concerns about the cardiovascular safety of Mn2+52. In recent years, novel Mn agents have advanced to evaluation in clinical trials53,54. EVP-1001-1 (SeeMore™), a weakly chelated Mn agent, completed phase II trial for imaging myocardial viability55. SN132D, a Mn-based nanoparticle for tumor imaging, recently completed phase I trial in patients with breast cancer56. Oral Mn chloride tetrahydrate (LumenHance®) was approved for gastrointestinal MRI and recently, a new oral formulation of Mn chloride with L-alanine and vitamin D3 (Orviglance®) completed phase III trial for liver-specific imaging57. RVP-001 is a stable manganese chelate that was designed to replace extracellular fluid GBCAs with equivalent imaging properties, and it is currently being evaluated in phase II trial (NCT06322342).

In this study, we synthesized and evaluated a Mn-based probe targeted to type I collagen termed Mn-CBP20. In vitro characterization showed that Mn-CBP20 binds to human type I collagen with comparable affinity to EP-3533, and also exhibits comparable relaxivity. Direct comparison of Mn-CBP20 to EP-3533 at the same dose in a mouse model of CCl4-induced liver fibrosis indicates that Mn-CBP20 is equally effective to EP-3533 for the detection of liver collagen deposition, and thus suggests that Mn-CBP20 may offer similar advantage over current clinical imaging for detection of mild to moderate liver fibrosis. Additional dose optimization including a dose escalation study to determine the optimal dose range for human use and the maximum tolerated dose is necessary for clinical translation of this Mn-based collagen-targeted agent. We also demonstrated Mn-CBP20 was effective for the detection of liver fibrosis in a CDAHFD mouse model of MASH, underscoring the potential use of what is both the most prevalent and most rapidly increasing CLD. Biodistribution studies of 52Mn-labeled Mn-CBP20 demonstrate efficient clearance of the probe primarily via renal excretion. The non-negligible liver ΔCNR in the sham animals and liver uptake of 52Mn-CBP20 in healthy mice could arise from the amount of native collagen in normal livers, as reflected by the total collagen quantified in hydroxyproline assay (Fig. 5B). Further studies to characterize the metabolism, pharmacokinetics, and toxicity of Mn-CBP20 are warranted for translational purposes.

There are limitations to the study. While the straightforward synthesis of Mn-CBP20 highlights the potential for low cost of goods manufacture, synthetic activities for this study focused narrowly on obtaining small amounts of compound for preliminary evaluation, rather than on process optimization. MR imaging data obtained using Mn-CBP20 was evaluated in the context of liver collagen content determined through ex vivo biochemical assays, which underscores collagen specificity and the potential to quantify liver collagen deposition. However, MR imaging using Mn-CBP20 was not evaluated in the context of the histologically assigned fibrosis stage, and our study did not compare against currently available serum biomarker panels or clinical imaging that can generally reliably detect advanced fibrosis. Our imaging studies were designed to demonstrate proof of concept, and utilized male mice which have been reported to have a stronger fibrotic response than females58. However, future evaluation will include both male and female animals. We used EP-3533 as a positive control in the imaging studies and animals with no fibrosis as negative controls. A negative control probe was not used here but we have previously shown that untargeted probes do not detect liver fibrosis compared to EP-353340.

In conclusion, Mn-CBP20 represents a promising candidate that merits further evaluation and development for molecular imaging of liver fibrosis.

Supplementary information

Supplementary Information (117.4KB, pdf)

Acknowledgements

This work was supported by NIH R44AG059524 (V.H.), NIH R01DK121789 (P.C.), NIH K25HL1448837 (I.Y.Z.). The instruments used in this study were obtained through NIH S10OD023503, S10OD025234, S10OD028499, S10OD032138, S10OD034258, and Massachusetts Life Sciences Center.

Author contributions

C.Z., H.M., N.J.R., and I.Y.Z. performed the animal experiments and imaging. D.D., E.M.G., H.D., and V.H. participated in synthesizing and characterizing the collagen-specific contrast agent. H.M. and N.J.R. carried out the radiolabeling and biodistribution experiments. C.Z., H.M., and P.P. participated in ex vivo experiments. C.Z., H.M., E.M.G., and I.Y.Z. analyzed the data. C.Z., E.M.G., and I.Y.Z. wrote the manuscript. P.C. and I.Y.Z. designed and supervised the study. All authors reviewed the manuscript.

Data availability

Data are provided within the manuscript or supplementary information files.

Competing interests

E.M.G. holds equity in Reveal Pharmaceuticals and serves as a consultant to both Reveal Pharmaceuticals and Collagen Medical LLC. V.H. is an employee of Collagen Medical LLC. P.C. holds equity in, and is a consultant to, Collagen Medical LLC; holds equity in Reveal Pharmaceuticals Inc.; and receives research support from Pliant Therapeutics, Canon Medical USA, and Transcode Therapeutics. I.Y.Z. receives research support from Reveal Pharmaceuticals Inc. and currently serves as an Associate Editor of npj Imaging but was not involved in the editorial review of or the decision to publish this article. The other authors have declared that no conflict of interest exists.

Footnotes

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Change history

10/27/2025

A Correction to this paper has been published: 10.1038/s44303-025-00122-x

Contributor Information

Peter Caravan, Email: pcaravan@mgh.harvard.edu.

Iris Y. Zhou, Email: iris.zhou@mgh.harvard.edu

Supplementary information

The online version contains supplementary material available at 10.1038/s44303-025-00075-1.

References

  • 1.Devarbhavi, H. et al. Global burden of liver disease: 2023 update. J. Hepatol.79, 516–537 (2023). [DOI] [PubMed] [Google Scholar]
  • 2.Hernandez-Gea, V. & Friedman, S. L. Pathogenesis of liver fibrosis. Annu. Rev. Pathol.6, 425–456 (2011). [DOI] [PubMed] [Google Scholar]
  • 3.Friedman, S. L. Mechanisms of hepatic fibrogenesis. Gastroenterology134, 1655–1669 (2008). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Roehlen, N., Crouchet, E. & Baumert, T. F. Liver Fibrosis: mechanistic concepts and therapeutic perspectives. Cells10.3390/cells9040875 (2020). [DOI] [PMC free article] [PubMed]
  • 5.Kisseleva, T. & Brenner, D. Molecular and cellular mechanisms of liver fibrosis and its regression. Nat. Rev. Gastroenterol. Hepatol.18, 151–166 (2021). [DOI] [PubMed] [Google Scholar]
  • 6.Iredale, J. P. Models of liver fibrosis: exploring the dynamic nature of inflammation and repair in a solid organ. J. Clin. Investig.117, 539–548 (2007). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Sumida, Y., Nakajima, A. & Itoh, Y. Limitations of liver biopsy and non-invasive diagnostic tests for the diagnosis of nonalcoholic fatty liver disease/nonalcoholic steatohepatitis. World J. Gastroenterol.20, 475–485 (2014). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Joseph, J. Serum marker panels for predicting liver fibrosis—an update. Clin. Biochem. Rev.41, 67–73 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Liu, T., Wang, X., Karsdal, M. A., Leeming, D. J. & Genovese, F. Molecular serum markers of liver fibrosis. Biomark. Insights7, 105–117 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Rosenberg, W. M. et al. Serum markers detect the presence of liver fibrosis: a cohort study. Gastroenterology127, 1704–1713 (2004). [DOI] [PubMed] [Google Scholar]
  • 11.Parkes, J., Guha, I. N., Roderick, P. & Rosenberg, W. Performance of serum marker panels for liver fibrosis in chronic hepatitis C. J. Hepatol.44, 462–474 (2006). [DOI] [PubMed] [Google Scholar]
  • 12.Younossi, Z. M. et al. Diagnostic modalities for non-alcoholic fatty liver disease (NAFLD), non-alcoholic steatohepatitis (NASH) and associated fibrosis. Hepatology68, 349–360 (2018). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Imajo, K. et al. Magnetic resonance imaging more accurately classifies steatosis and fibrosis in patients with nonalcoholic fatty liver disease than transient elastography. Gastroenterology150, 626–637.e627 (2016). [DOI] [PubMed] [Google Scholar]
  • 14.Park, C. C. et al. Magnetic resonance elastography vs transient elastography in detection of fibrosis and noninvasive measurement of steatosis in patients with biopsy-proven nonalcoholic fatty liver disease. Gastroenterology152, 598–607.e592 (2017). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Fuchs, B. C. et al. Molecular MRI of collagen to diagnose and stage liver fibrosis. J. Hepatol.59, 992–998 (2013). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Farrar, C. T. et al. CM-101: type I collagen-targeted MR imaging probe for detection of liver fibrosis. Radiology10.1148/radiol.2017170595 (2018). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Erstad, D. J. et al. Molecular magnetic resonance imaging accurately measures the antifibrotic effect of EDP-305, a novel farnesoid X receptor agonist. Hepatol. Commun.2, 821–835 (2018). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Zhu, B. et al. Combined magnetic resonance elastography and collagen molecular magnetic resonance imaging accurately stage liver fibrosis in a rat model. Hepatology65, 1015–1025 (2017). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Agarwal, R. et al. Gadolinium-based contrast agents and nephrogenic systemic fibrosis: a systematic review and meta-analysis. Nephrol. Dial. Transpl.24, 856–863 (2009). [DOI] [PubMed] [Google Scholar]
  • 20.Grobner, T. & Prischl, F. C. Gadolinium and nephrogenic systemic fibrosis. Kidney Int.72, 260–264 (2007). [DOI] [PubMed] [Google Scholar]
  • 21.FDA. FDA Drug Safety Communication: FDA warns that gadolinium-based contrast agents (GBCAs) are retained in the body; requires new class warnings. https://www.fda.gov/drugs/drug-safety-and-availability/fda-drug-safety-communication-fda-warns-gadolinium-based-contrast-agents-gbcas-are-retained-body (2017).
  • 22.Choi, Y. et al. MRI and quantitative magnetic susceptibility maps of the brain after serial administration of gadobutrol: a longitudinal follow-up study. Radiology297, 143–150 (2020). [DOI] [PubMed] [Google Scholar]
  • 23.Le Fur, M. & Caravan, P. The biological fate of gadolinium-based MRI contrast agents: a call to action for bioinorganic chemists. Metallomics11, 240–254 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Caravan, P. et al. Collagen-targeted MRI contrast agent for molecular imaging of fibrosis. Angew. Chem.46, 8171–8173 (2007). [DOI] [PubMed] [Google Scholar]
  • 25.Percie du Sert, N. et al. The ARRIVE guidelines 2.0: updated guidelines for reporting animal research. BMC Vet. Res.16, 242 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Loening, A. M. & Gambhir, S. S. AMIDE: a free software tool for multimodality medical image analysis. Mol. Imaging2, 131–137 (2003). [DOI] [PubMed] [Google Scholar]
  • 27.Chen, H. H. et al. Molecular imaging of oxidized collagen quantifies pulmonary and hepatic fibrogenesis. JCI Insight10.1172/jci.insight.91506 (2017). [DOI] [PMC free article] [PubMed]
  • 28.Zhou, I. Y. et al. Advanced MRI of liver fibrosis and treatment response in a rat model of nonalcoholic steatohepatitis. Radiology296, 67–75 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Ning, Y. et al. Molecular MRI quantification of extracellular aldehyde pairs for early detection of liver fibrogenesis and response to treatment. Sci. Transl. Med.14, eabq6297 (2022). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Hutson, P. R., Crawford, M. E. & Sorkness, R. L. Liquid chromatographic determination of hydroxyproline in tissue samples. J. Chromatogr. B Anal. Technol. Biomed. Life Sci.791, 427–430 (2003). [DOI] [PubMed] [Google Scholar]
  • 31.Zhang, J. et al. Fast detection of liver fibrosis with collagen-binding single-nanometer iron oxide nanoparticles via T(1)-weighted MRI. Proc. Natl. Acad. Sci. USA120, e2220036120 (2023). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Kálmán, F. K. & Tircsó, G. Kinetic inertness of the Mn complexes formed with AAZTA and some open-chain EDTA derivatives. Inorg. Chem.51, 10065–10067 (2012). [DOI] [PubMed] [Google Scholar]
  • 33.Gale, E. M., Atanasova, I., Blasi, F., Ay, I. & Caravan, P. A manganese alternative to gadolinium for MRI contrast. J. Am. Chem. Soc.137, 15548–15557 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.McRae, S. W. et al. Development of a suite of gadolinium-free OATP1-targeted paramagnetic probes for liver MRI. J. Med. Chem.66, 6567–6576 (2023). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Zhou, I. Y. et al. Positron emission tomography-magnetic resonance imaging pharmacokinetics, in vivo biodistribution, and whole-body elimination of Mn-PyC3A. Investig. Radiol.56, 261–270 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Erstad, D. J. et al. Tumor contrast enhancement and whole-body elimination of the manganese-based magnetic resonance imaging contrast agent Mn-PyC3A. Investig. Radiol.54, 697–703 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Gale, E. M. et al. A manganese-based alternative to gadolinium: contrast enhanced MR angiography, pharmacokinetics, and metabolism. Radiology286, 865–872 (2018). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Xie, J. et al. Iron(III)-tCDTA derivatives as MRI contrast agents: increased T(1) relaxivities at higher magnetic field strength and pH sensing. Magn. Reson. Med.85, 3370–3382 (2021). [DOI] [PubMed] [Google Scholar]
  • 39.Helm, P. A. et al. Postinfarction myocardial scarring in mice: molecular MR imaging with use of a collagen-targeting contrast agent. Radiology247, 788–796 (2008). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Polasek, M. et al. Molecular MR imaging of liver fibrosis: a feasibility study using rat and mouse models. J. Hepatol.57, 549–555 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Caravan, P. et al. Molecular magnetic resonance imaging of pulmonary fibrosis in mice. Am. J. Respir. Cell Mol. Biol.49, 1120–1126 (2013). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Farrar, C. T. et al. 3D molecular MR imaging of liver fibrosis and response to rapamycin therapy in a bile duct ligation rat model. J. Hepatol.63, 689–696 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Polasek, M. et al. Molecular MR imaging of fibrosis in a mouse model of pancreatic cancer. Sci. Rep.7, 8114 (2017). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Zheng, W., Fu, S. X., Dydak, U. & Cowan, D. M. Biomarkers of manganese intoxication. Neurotoxicology32, 1–8 (2011). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Thannickal, V. J., Zhou, Y., Gaggar, A. & Duncan, S. R. Fibrosis: ultimate and proximate causes. J. Clin. Investig.124, 4673–4677 (2014). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Lee, Y. A., Wallace, M. C. & Friedman, S. L. Pathobiology of liver fibrosis: a translational success story. Gut64, 830–841 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Williams, R. Global challenges in liver disease. Hepatology44, 521–526 (2006). [DOI] [PubMed] [Google Scholar]
  • 48.Reinson, T., Buchanan, R. M. & Byrne, C. D. Noninvasive serum biomarkers for liver fibrosis in NAFLD: current and future. Clin. Mol. Hepatol.29, S157–S170 (2023). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Gupta, A., Caravan, P., Price, W. S., Platas-Iglesias, C. & Gale, E. M. Applications for transition-metal chemistry in contrast-enhanced magnetic resonance imaging. Inorg. Chem.59, 6648–6678 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Rummeny, E. J. et al. MnDPDP for MR imaging of the liver. Results of an independent image evaluation of the European phase III studies. Acta Radiol.38, 638–642 (1997). [DOI] [PubMed] [Google Scholar]
  • 51.Hamm, B. et al. Focal liver lesions: MR imaging with Mn-DPDP–initial clinical results in 40 patients. Radiology182, 167–174 (1992). [DOI] [PubMed] [Google Scholar]
  • 52.Jynge, P. et al. Cardiovascular safety of MnDPDP and MnCl2. Acta Radiol.38, 740–749 (1997). [DOI] [PubMed] [Google Scholar]
  • 53.Runge, V. M. & Heverhagen, J. T. A new era in magnetic resonance contrast media. Investig. Radiol.59, 105–107 (2024). [DOI] [PubMed] [Google Scholar]
  • 54.Caravan, P. Divalent manganese complexes as potential replacements for gadolinium-based contrast agents. Investig. Radiol.59, 187–196 (2024). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Storey, P. et al. Preliminary evaluation of EVP 1001-1: a new cardiac-specific magnetic resonance contrast agent with kinetics suitable for steady-state imaging of the ischemic heart. Investig. Radiol.38, 642–652 (2003). [DOI] [PubMed] [Google Scholar]
  • 56.Wärnberg, F. et al. Abstract P3-04-03: safety, tolerability, and efficacy of the novel intravenous manganese-based contrast agent SN132D in patients with breast cancer: initial results of a phase I, first-in-human clinical trial SPAGOPIX-01. Cancer Res.83, P3-04-03–P03-04-03 (2023). [Google Scholar]
  • 57.Brismar, T. B. et al. Oral Manganese chloride tetrahydrate: a novel magnetic resonance liver imaging agent for patients with renal impairment: efficacy, safety, and clinical implication. Investig. Radiol.59, 197–205 (2024). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Sayaf, K. et al. Sex drives functional changes in the progression and regression of liver fibrosis. Int. J. Mol. Sci. 10.3390/ijms242216452 (2023). [DOI] [PMC free article] [PubMed]

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Supplementary Materials

Supplementary Information (117.4KB, pdf)

Data Availability Statement

Data are provided within the manuscript or supplementary information files.


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