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Reactive oxygen species (ROS) that are overproduced in certain tumors can be considered an indicator of oxidative stress levels in the tissue. Here, we report a magnetic resonance imaging (MRI)-based probe capable of detecting ROS levels in the tumor microenvironment (TME) using ROS-responsive manganese ion (Mn 2+ )-chelated, biotinylated bilirubin nanoparticles (Mn@bt-BRNPs). These nanoparticles are disrupted in the presence of ROS, resulting in the release of free Mn 2+ , which induces T1-weighted MRI signal enhancement. Mn@BRNPs show more rapid and greater MRI signal enhancement in high ROS-producing A549 lung carcinoma cells compared with low ROS-producing DU145 prostate cancer cells. A pseudo three-compartment model devised for the ROS-reactive MRI probe enables mapping of the distribution and concentration of ROS within the tumor. Furthermore, doxorubicin-loaded, cancer-targeting ligand biotin-conjugated Dox/Mn@bt-BRNPs show considerable accumulation in A549 tumors and also effectively inhibit tumor growth without causing body weight loss, suggesting their usefulness as a new theranostic agent. Collectively, these findings suggest that Mn@bt-BRNPs could be used as an imaging probe capable of detecting ROS levels and monitoring drug delivery in the TME with potential applicability to other inflammatory diseases., Competing Interests: Declaration of competing interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests:S.J. declares a financial interest in BiliX and ToolBio as a cofounder as well as a scientific advisory board member. However, these companies did not support the aforementioned research and currently has no rights to any technology or intellectual property developed as part of this research. The rest of the authors declare no competing financial interests., (Copyright © 2024 Elsevier Ltd. All rights reserved.)

Suicide is a growing public health problem around the world. The most important risk factor for suicide is underlying psychiatric illness, especially depression. Detailed classification of suicide in patients with depression can greatly enhance personalized suicide control efforts. This study used unstructured psychiatric charts and brain magnetic resonance imaging (MRI) records from a psychiatric outpatient clinic to develop a machine learning-based suicidal thought classification model. The study included 152 patients with new depressive episodes for development and 58 patients from a geographically different hospital for validation. We developed an eXtreme Gradient Boosting (XGBoost)-based classification models according to the combined types of data: independent components-map weightings from brain T1-weighted MRI and topic probabilities from clinical notes. Specifically, we used 5 psychiatric symptom topics and 5 brain networks for models. Anxiety and somatic symptoms topics were significantly more common in the suicidal group, and there were group differences in the default mode and cortical midline networks. The clinical symptoms plus structural brain patterns model had the highest area under the receiver operating characteristic curve (0.794) versus the clinical notes only and brain MRI only models (0.748 and 0.738, respectively). The results were consistent across performance metrics and external validation. Our findings suggest that focusing on personalized neuroimaging and natural language processing variables improves evaluation of suicidal thoughts., (© 2024. The Author(s).)

Despite the vital importance of monitoring the progression of nonalcoholic fatty liver disease (NAFLD) and its progressive form, nonalcoholic steatohepatitis (NASH), an efficient imaging modality that is readily available at hospitals is currently lacking. Here, a new magnetic-resonance-imaging (MRI)-based imaging modality is presented that allows for efficient and longitudinal monitoring of NAFLD and NASH progression. The imaging modality uses manganese-ion (Mn 2+ )-chelated bilirubin nanoparticles (Mn@BRNPs) as a reactive-oxygen-species (ROS)-responsive MRI imaging probe. Longitudinal T 1 -weighted MR imaging of NASH model mice is performed after injecting Mn@BRNPs intravenously. The MR signal enhancement in the liver relative to muscle gradually increases up to 8 weeks of NASH progression, but decreases significantly as NASH progresses to the cirrhosis-like stage at weeks 10 and 12. A new dual input pseudo-three-compartment model is developed to provide information on NASH stage with a single MRI scan. It is also demonstrated that the ROS-responsive Mn@BRNPs can be used to monitor the efficacy of potential anti-NASH drugs with conventional MRI. The findings suggest that the ROS-responsive Mn@BRNPs have the potential to serve as an efficient MRI contrast for monitoring NASH progression and its transition to the cirrhosis-like stage., (© 2024 Wiley‐VCH GmbH.)

Ferumoxytol is the only clinically available ultrasmall superparamagnetic iron oxide. However, the labeling efficacy of islet magnetic resonance imaging (MRI) using ferumoxytol is not suitable for use in clinical pancreatic islet transplantation (PIT). We evaluated the feasibility of pancreatic islet MRI using ferumoxytol through multi-layer surface modification. A four-layer nanoshield with poly (ethylene) glycol (PEG, 2 layers), ferumoxytol, and heparin was formed on the pancreatic islets. We compared pancreatic islet function, viability, and labeling efficacy of control, ferumoxytol alone-labeled, heparin-PEGylated, and ferumoxytol-heparin-PEGylated islets. With optimization of the ferumoxytol concentration during the ferumoxytol-heparin-PEGylation process, the labeling contrast in ex vivo MRI of ferumoxytol-heparin-PEGylated pancreatic islets was stronger than that of pancreatic islets labeled with ferumoxytol alone, without decreasing ex vivo islet viability or function. In a syngeneic mouse renal subcapsular PIT model, heparin-PEGylation and ferumoxytol-heparin-PEGylation delayed the revascularization of pancreatic islet grafts but did not impair glucose tolerance or revascularization of pancreatic islet grafts four weeks post-transplantation. Pancreatic islet visibility after labeling was also confirmed in a syngeneic mouse intraportal PIT model and in preliminary analysis of a non-human primate intraportal PIT model. In conclusion, multi-layer islet surface modification is a promising option for pancreatic islet MRI in intraportal PIT., (Copyright © 2019. Published by Elsevier Ltd.)

There is a clinical need for an alternative labeling agent for magnetic resonance imaging (MRI) in islet transplantation. We aimed to evaluate the feasibility of islet MRI using ferumoxytol, which is the only clinically-available ultrasmall superparamagnetic iron oxide. We compared islet function and viability of control islets and islets labeled with ferumoxytol and/or a heparin-protamine complex (HPF). Efficacy of ferumoxytol labeling was assessed in both ex vivo and in vivo models. Labeling for 48 h with HPF, but not up to 800 μg/mL ferumoxytol, deranged ex vivo islet viability and function. The T2∗ relaxation time was optimal when islets were labeled with 800 μg/mL of ferumoxytol for 48 h. Prussian blue stain, iron content assay, transmission electron microscopy (TEM) supported internalization of ferumoxytol particles. However, the labeling intensity in the ex vivo MRI of islets labeled with ferumoxytol was much weaker than that of islets labeled with ferucarbotran. In syngeneic intraportal islet transplantation, there was a correlation between the total area of visualized islets and the transplanted islet mass. In conclusion, islet MRI using ferumoxytol was feasible in terms of in vitro and in vivo efficacy and safety. However, the weak labeling efficacy is still a hurdle for the clinical application., (Copyright © 2015 Elsevier Ltd. All rights reserved.)

Human mesenchymal stem cells (hMSCs) offer significant therapeutic potential in the field of regenerative medicine and high-resolution magnetic resonance imaging (MRI) is useful modality to visualize in vivo kinetics of transplanted stem cells. For successful MR imaging, there is a great need for effective contrast agents for stem cell labeling with high uptake yield and low toxicity. Here, we present superparamagnetic iron oxide (SPIO) nanoparticles coated with unfractionated heparin (UFH-SPIO) as a new negative contrast agent for in vivo MR imaging of hMSCs. The uptake of UFH-SPIO by hMSCs was effective without the aid of transfection agents, which was dependent on the concentration and exposure time. The uptake efficiency of UFH-SPIO was greater than that of DEX-SPIO (SPIO coated with dextran) by approximately 3 folds when treated for 1 h. TEM and Prussian blue staining confirmed that UFH-SPIO nanoparticles were internalized into the cytosol of hMSCs which existed during in vitro subculture for 28 days. Low temperature endocytosis inhibition assay demonstrated that the incorporation of UFH-SPIO into hMSCs was likely to be mediated by endocytosis. When the phantom of UFH-SPIO-labeled hMSCs was visualized with 3-T T(2)-weighted MRI, the hypointensity signals of UFH-SPIO-labeled hMSCs were linearly correlated with the concentration of the nanoparticles. The cellular labeling using UFH-SPIO did not reduce the viability, proliferation or differentiation potential to osteogenic and adipogenic lineages of hMSCs. When the UFH-SPIO-labeled hMSCs were transplanted into the left renal subcapsular membranes of nude mice, they were successfully visualized and detected by T(2) and T(2)(∗)-weighted MRI for a month. Collectively, these results suggest that UFH-SPIO nanoparticles are promising as a new MRI contrast agent for in vivo long-term tracking of hMSCs., (Copyright © 2012 Elsevier Ltd. All rights reserved.)

Transplantation of insulin-secreting pancreatic islets can provide real-time regulation of blood glucose in patients with type 1 diabetes mellitus. Currently, noninvasive and repetitive monitoring of islet engraftment and function is an emerging and promising modality for successful islet transplantation. Here we report a new technique for highly sensitive in vivo magnetic resonance (MR) imaging of transplanted pancreatic islets. To this end, heparinized superparamagnetic iron oxide (heparin-SPIO) nanoparticle was newly synthesized for chemical conjugation onto islet surface. Compared to typical cellular labeling of Feridex(®) via random endocytosis, chemical conjugation of heparin-SPIO was stable and improved the hypointensity of transplanted islets due to surface modification of every islet. These heparin-SPIO-conjugated islets showed normal viability and insulin secretion, and were quantified by spin echo T(2)-weighted MR imaging with linear correlation depending on transplanted islet mass in vitro and in vivo for 30 days. Also, from the immunohistochemistry, we confirmed the existence of heparin-SPIO and insulin biosynthesis in transplanted islets. However, Feridex-uptake islets showed late glucose responsiveness according to changing glucose concentration although they could normally control the blood glucose levels in diabetic mouse. Thus, we anticipate that this surface labeling with heparin-SPIO can be directly applicable for MR imaging of transplanted islets., (Copyright © 2011 Elsevier Ltd. All rights reserved.)

Objectives: To determine the diagnostic value of [68 Ga]Ga-DOTA-labeled-somatostatin analogue ([68 Ga]Ga-DOTA-SSA) PET/MRI for detecting liver metastasis in patients with neuroendocrine tumor (NET) and to compare it with [68 Ga]Ga-DOTA-SSA PET/CT. Methods: A search of MEDLINE, EMBASE, and Cochrane was performed to identify original articles reporting the detection rate of [68 Ga]Ga-DOTA-SSA PET/MRI for liver metastasis in comparison with PET/CT. The pooled detection rates for liver metastasis on PET/MRI and PET/CT were calculated and compared using a restricted maximum likelihood estimation of random-effects model. The pooled added value of PET/MRI in comparison with PET/CT was calculated. Sensitivity analysis and subgroup analysis were performed to explore causes of study heterogeneity. Results: In the six included studies (638 liver metastases), the pooled detection rates for liver metastasis on [68 Ga]Ga-DOTA-SSA PET/MRI and PET/CT were 93.5% (95% confidence interval [CI], 85.1–97.3%; I2 = 84.8%) and 76.8% (95% CI, 64.8–85.6%; I2 = 87.8%), respectively. PET/MRI had a significantly higher detection rate than PET/CT (p = 0.02), with 15.3% (95% CI, 8.0–27.4%) added value over PET/CT. After sensitivity analysis, the recalculated detection rates for liver metastasis were 94.8% (95% CI, 90.8–97.2%; I2 = 42.1%) for PET/MRI and 80.0% (95% CI, 65.3–89.5%; I2 = 90.0%) for PET/CT. The study location and the use of predefined imaging criteria for liver metastasis were associated with PET/MRI study heterogeneity. Conclusion: [68 Ga]Ga-DOTA-SSA PET/MRI had good overall performance for detecting liver metastasis in patients with NET. Because of the small number of eligible studies, further studies are needed to validate the clinical usefulness of [68 Ga]Ga-DOTA-SSA PET/MRI. Key Points: • [68 Ga]Ga-DOTA-SSA PET/MRI had a higher pooled detection rate for liver metastasis than PET/CT (93.5% vs. 76.8%). • The added value of [68 Ga]Ga-DOTA-SSA PET/MRI for detecting liver metastasis in comparison with PET/CT was 15.3%. •Study location and the predefined imaging criteria for liver metastasis were significant factors causing PET/MRI study heterogeneity. [ABSTRACT FROM AUTHOR]

• Predicting treatment-resistant depression (TRD) remains challenging. • We developed explainable multimodal prediction of TRD in patients with a new depressive episode. • A combination of clinical data with neuroimaging and natural language processing variables improves the prediction of TRD. Although 20 % of patients with depression receiving treatment do not achieve remission, predicting treatment-resistant depression (TRD) remains challenging. In this study, we aimed to develop an explainable multimodal prediction model for TRD using structured electronic medical record data, brain morphometry, and natural language processing. In total, 247 patients with a new depressive episode were included. TRD-predictive models were developed based on the combination of following parameters: selected tabular dataset features, independent components-map weightings from brain T1-weighted magnetic resonance imaging (MRI), and topic probabilities from clinical notes. All models applied the extreme gradient boosting (XGBoost) algorithm via five-fold cross-validation. The model using all data sources showed the highest area under the receiver operating characteristic of 0.794, followed by models that used combined brain MRI and structured data, brain MRI and clinical notes, clinical notes and structured data, brain MRI only, structured data only, and clinical notes only (0.770, 0.762, 0.728, 0.703, 0.684, and 0.569, respectively). Classifications of TRD were driven by several predictors, such as previous exposure to antidepressants and antihypertensive medications, sensorimotor network, default mode network, and somatic symptoms. Our findings suggest that a combination of clinical data with neuroimaging and natural language processing variables improves the prediction of TRD. [ABSTRACT FROM AUTHOR]

Islet cell transplantation is a promising option for the restoration of normal glucose homeostasis in patients with type 1 diabetes. Because graft volume is a crucial issue in islet transplantations for patients with diabetes, we evaluated a new method for increasing functional tissue yield in xenogeneic grafts of encapsulated islets. Islets were labeled with three different superparamagnetic iron oxide nano particles ( SPIONs; dextran-coated SPION, siloxane-coated SPION, and heparin-coated SPION). Magnetic separation was performed to separate encapsulated islets from the empty capsules, and cell viability and function were tested. Islets labeled with 1000 μg Fe/ml dextran-coated SPIONs experienced a 69.9% reduction in graft volume, with a 33.2% loss of islet-containing capsules. Islets labeled with 100 μg Fe/ml heparin-coated SPIONs showed a 46.4% reduction in graft volume, with a 4.5% loss of capsules containing islets. No purification could be achieved using siloxane-coated SPIONs due to its toxicity to the primary islets. SPION labeling of islets is useful for transplant purification during islet separation as well as in vivo imaging after transplantation. Furthermore, purification of encapsulated islets can also reduce the volume of the encapsulated islets without impairing their function by removing empty capsules. [ABSTRACT FROM AUTHOR]

Cell therapy is targeted at many organs, but locally or systemically delivered cells are shortly able to survive resulting from the immune/inflammation reactions and irregular cell targeting. Here we explore the multimodal nanoparticle having anti-inflammation and magnetic guidance for successful cell transplantation. We design magnetic resonance (MR)-active glycyrrhizin-chitosan coated superparamagnetic iron oxide nanoparticle (SPIO@Chitosan-GL) to inhibit release of inflammatory damage-associated molecular pattern (DAMP) protein and to offer noninvasive monitoring after intrahepatic transplantation of pancreatic islets and mesenchymal stem cell (MSC) spheroids. Intracellular delivered SPIO@Chitosan-GL is not cytotoxic to pancreatic islets and MSC spheroids and attenuate DAMP release from them. Also, therapeutic cells labeled with SPIO@Chitosan-GL are magnetically localized to the intended lobe of liver during transplantation procedure. If necessary, partial hepatectomy can be performed to remove the localized therapeutic cells for protection of the remaining liver lobes from systemic inflammation. Therapeutically, the cells selectively localized in the liver can treat blood glucose in diabetic mice to normal levels with DAMP modulation, and are visualized using in vivo MR imaging for over 4 weeks. Collectively, DAMP-modulating SPIO@Chitosan-GL can be used in multimodal nanomedince for attenuating the inflammation reaction by transplanted cells and for noninvasively long-term monitoring of transplanted cells. [ABSTRACT FROM AUTHOR]