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Purpose: To compare performance of 1-mm deep learning reconstruction (DLR) with 3-mm routine MRI imaging for the delineation of pituitary axis and identification of cavernous sinus invasion for pituitary macroadenoma., Method: This retrospective study included 104 patients (59.4 ± 13.1 years; 46 women) who underwent an MRI protocol including 1-mm deep learning-reconstructed and 3-mm routine images for evaluating pituitary adenoma between August 2019 and October 2020. Five readers (24, 9, 2 years, and <1 year of experience) assessed the delineation of pituitary axis (gland and stalk) and the presence of cavernous sinus invasion for using a pairwise design. The signal-to-noise ratio (SNR) was measured. Diagnostic performance as well as image preference data were analysed and compared according to the readers' experience using the McNemar test., Results: For delineation of normal pituitary axis, all readers preferred thin 1-mm DLR MRI over 3-mm MRI (overall superiority, 55.8 %, P <.001), with this preference being greater in the less experienced readers (92.3 % vs. 55.8 % [expert], P <.001). The readers showed higher diagnostic performance for cavernous sinus invasion on 1-mm (AUC, 0.91 and 0.92) than on 3-mm imaging (AUC, 0.87 and 0.88). The SNR of the 1-mm DLR was 1.21-fold higher than that of the routine 3-mm imaging., Conclusion: Deep learning reconstruction-based 1-mm imaging demonstrates improved image quality and better delineation of microstructure in the sellar fossa and is preferred by both radiologists and non-radiologist physicians, especially in less experienced readers., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2022 Elsevier B.V. All rights reserved.)

Objectives: To determine whether imaging-based risk stratification enables prognostication in diffuse glioma, NOS (not otherwise specified)., Methods: Data from 220 patients classified as diffuse glioma, NOS, between January 2011 and December 2020 were retrospectively included. Two neuroradiologists analyzed pre-surgical CT and MRI to assign gliomas to the three imaging-based risk types considering well-known imaging phenotypes (e.g., T2/FLAIR mismatch). According to the 2021 World Health Organization classification, the three risk types included (1) low-risk, expecting oligodendroglioma, isocitrate dehydrogenase (IDH)-mutant, and 1p/19q-codeleted; (2) intermediate-risk, expecting astrocytoma, IDH-mutant; and (3) high-risk, expecting glioblastoma, IDH-wildtype. Progression-free survival (PFS) and overall survival (OS) were estimated for each risk type. Time-dependent receiver operating characteristic analysis using 10-fold cross-validation with 100-fold bootstrapping was used to compare the performance of an imaging-based survival model with that of a historical molecular-based survival model published in 2015, created using The Cancer Genome Archive data., Results: Prognostication according to the three imaging-based risk types was achieved for both PFS and OS (log-rank test, p < 0.001). The imaging-based survival model showed high prognostic value, with areas under the curves (AUCs) of 0.772 and 0.650 for 1-year PFS and OS, respectively, similar to the historical molecular-based survival model (AUC = 0.74 for PFS and 0.87 for OS). The imaging-based survival model achieved high long-term performance in both 3-year PFS (AUC = 0.806) and 5-year OS (AUC = 0.812)., Conclusion: Imaging-based risk stratification achieved histomolecular-level prognostication in diffuse glioma, NOS, and could aid in guiding patient referral for insufficient or unsuccessful molecular diagnosis., Key Points: • Three imaging-based risk types enable distinct prognostication in diffuse glioma, NOS (not otherwise specified). • The imaging-based survival model achieved similar prognostic performance as a historical molecular-based survival model. • For long-term prognostication of 3 and 5 years, the imaging-based survival model showed high performance., (© 2022. The Author(s), under exclusive licence to European Society of Radiology.)

Aquaporins (AQPs) are key proteins that regulate fluid homeostasis in cells via modulating osmotic water transport. In the present study, we identified three variants of Aqp1ab transcript (mmAQP1ab x1, mmAQP1ab x2, and mmAQP1ab x3) in mud loaches (Misgurnus mizolepis), and their expression patterns were examined in response to heavy metal and immunostimulant exposure. Mud loach Aqp1ab gene has a somewhat different organizational structure (i.e. five exons interrupted by four introns) compared to most other teleostean Aqp1ab orthologues, which have four exons. The 5'-flanking regulatory region of Aqp gene showed diverse transcription factor binding motifs, particularly those associated with stress/immune responses. Developmental expression patterns indicated that Aqp1ab mRNA was maternally inherited, presumably important for fine-tuning gene expression during embryonic and early larval developments. Expression of mud loach Aqp1ab mRNA was significantly and differentially modulated in several tissues (intestine, kidneys, spleen, and liver) in response to various heavy metal treatments. In addition, Aqp1ab gene expression was highly induced in response to immune challenge (LPS and polyI:C injections). Collectively, our results suggested that AQPs are multifunctional effectors playing diverse roles in cellular pathways relevant to immune and/or stress adaptation responses, in addition to their involvement in osmoregulation., (Copyright © 2022 Elsevier Inc. All rights reserved.)

MicroRNAs (miRNAs) have been implicated in nerve injury and demyelination; however, their functions in peripheral nerves remain unclear. To determine the potential functions of miRNAs, an miRNA array was carried out. Here, miRNA array analysis of neuregulin-treated Schwann cells revealed 18 upregulated (> 2-fold) and 13 downregulated (> 2-fold) miRNAs. After sciatic nerve injury, miR708-5p was highly expressed in neuregulin-treated Schwann cells, whereas it was downregulated during postnatal development. A predicted functional interaction was found between miR708-5p and transcription factor CP2-like protein 1 (TFCP2L1) using a bioinformatics tool. This finding suggested that miR708-5p may regulate TFCP2L1. During sciatic nerve development, TFCP2L1 was upregulated on postnatal days 1 and 4, while it was downregulated after nerve axotomy and crush injury. Notably, TFCP2L1 was upregulated in cAMP-treated Schwann cells. We also found that activity of the myelin protein zero promoter was downregulated in TFCP2L1 siRNA-treated Schwann cells, whereas it was upregulated in TFCP2L1-overexpressing cells. Immunofluorescence analysis showed that TFCP2L1 was localized in Schwann cells. In addition, miR708-5p overexpression promoted migration of Schwann cells, while miR-708-5p inhibitor inhibited migration. miR708-5p inhibitor also blocked the migration of TFCP2L1 siRNA-treated Schwann cells. These findings indicate the functions of miR708-5p in TFCP2L1 regulation in the peripheral nervous system occur via regulation of Schwann cell migration., (© 2021. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)