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ting to the implant itself or underlying anatomy. In this study for the first time we demonstrate that additive manufacturing may be exploited to create lattice structures that predictably reduce MRI image artefact severity surrounding titanium alloy implants. Specifically, a direct correlation of artefact severity, both total signal loss and distortion, with the relative material density of these functionalised materials has been demonstrated within clinically relevant MRI sequences. This approach opens the door for strategic implant design, utilising this structurally functionalised material, that may improve post-operative patient outcomes and compliments existing efforts in this area which focus on data acquisition and post-processing methods. Breast cancer cells (BCCs) can remain dormant at the metastatic site, which when revoked leads to formation of metastasis several years after the treatment of primary tumor. Particularly, awakening of dormant BCCs in the brain results in breast cancer brain metastasis (BCBrM) which marks the most advanced stage of the disease with a median survival period of ~4-16 months. However, our understanding of dormancy associated with BCBrM remains obscure, in part, due to the lack of relevant in vitro platforms to model dormancy associated with BCBrM. To address this need, we developed an in vitro hyaluronic acid (HA) hydrogel platform to model dormancy in brain metastatic BCCs via exploiting the bio-physical cues provided by HA hydrogels while bracketing the normal brain and metastatic brain malignancy relevant stiffness range. In this system, we observed that MDA-MB-231Br and BT474Br3 brain metastatic BCCs exhibited a dormant phenotype when cultured on soft (0.4&nbsp;kPa) HA hydrogel compared to stiff (4.5&nbsp;kPa) HA hydro the biophysical cues provided the HA hydrogel mediates dormancy in brain metastatic BCCs by assessing both proliferation and cell cycle arrest markers. We also established the role of focal adhesion kinases and initial cell seeding density in the stiffness-mediated dormancy in brain metastatic BCCs. Further, RNA-seq. confirmed the dormant phenotype in brain metastatic BCCs. This platform could be utilized to further our understanding of microenvironmental regulation of dormancy in BCBrM. Glutaredoxins are a group of heat stable oxidoreductases ubiquitously found in prokaryotes and eukaryotes. They are widely known for GSH (glutathione)-dependent protein disulfide reduction and cellular redox homeostasis. This study was performed to identify and characterize rockfish (Sebastes schlegelii) glutaredoxin 1 (SsGrx1) at molecular, transcriptional, and functional levels. The coding sequence of SsGrx1 was 318&nbsp;bp in length and encoded a protein containing 106 amino acids. The molecular weight and theoretical isoelectric point of the putative SsGrx1 protein were 11.6&nbsp;kDa and 6.71&nbsp;kDa, respectively. The amino acid sequence of SsGrx1 comprised a CPYC redox active motif surrounded by several conserved GSH binding sites. The modeled protein structure was found to consist of five α-helices and four β-sheets, similar to human Grx1. SsGrx1 showed a tissue specific expression in all the tissues tested, with the highest expression in the kidney. Immune stimulation by lipopolysaccharides (LPS), polyinosinicpolycytidylic acid (polyIC), and Streptococcus iniae (S. iniae) could significantly modulate the SsGrx1 expression pattern in the blood and gills. Analysis of its subcellular localization disclosed that SsGrx1 was prominently localized in the cytosol. Recombinant SsGrx1 (rSsGrx1) exhibited significant activity in insulin disulfide reduction assay and HED (β-Hydroxyethyl Disulfide) assay. Furthermore, transient overexpression of SsGrx1 in FHM (fathead minnow) cells significantly enhanced cell survival upon H2O2-induced apoptosis. Collectively, our findings strongly suggest that SsGrx1 plays a crucial role in providing rockfish immune protection against pathogens and oxidative stress. INTRODUCTION Tumor mutational burden (TMB) is a quantitative assessment of the number of somatic mutations within a tumor genome. Immunotherapy benefit has been associated with TMB assessed by whole exome sequencing (wesTMB) and by gene panel sequencing (psTMB). The initiatives of Quality in Pathology (QuIP) and Friends of Cancer Research (FoCR) have jointly addressed the need for harmonization between TMB testing options in tissues. This QuIP study identifies critical sources of variation in psTMB assessment. METHODS Twenty samples from three tumor types (LUAD, HNSC, COAD) with available WES data were analyzed for psTMB, using six panels across 15 testing centers. Inter-laboratory and inter-platform variation including agreement on variant calling and TMB classification were investigated. Bridging factors to transform psTMB to wesTMB values were empirically derived. The impact of germline filtering was evaluated. RESULTS Sixteen samples demonstrated low interlaboratory and interpanel psTMB variation with 87.7% of pairwise comparisons showing a Spearman's ρ&gt;0.6. A wesTMB cutpoint of 199 missense mutations projected to psTMB cutpoints between 7.8 and 12.6 muts/Mbp; the corresponding psTMB and wesTMB classifications agreed in 74.9% of cases. For three-tier classification with cutpoints of 100 and 300 mutations, agreement was observed in 76.7%, weak misclassification in 21.8%, and strong misclassification in 1.5% of cases. Confounders of psTMB estimation included fixation artifacts, DNA input, sequencing depth, genome coverage, and variant allele frequency cutpoints. CONCLUSIONS This study provides real-world evidence that all evaluated panels can be used to estimate TMB in a routine diagnostic setting and identifies important parameters for reliable tissue TMB assessment that require careful control. As complex/composite biomarkers beyond TMB are likely playing an increasing role in therapy prediction, the efforts by QuIP and FoCR also delineate a general framework and blueprint for the evaluation of such assays. [https://www.selleckchem.com/products/otub2-in-1.html OTUB2-IN-1] BACKGROUND Undernutrition is a negative predictor of adverse outcomes in patients with heart failure (HF). Despite the survival advantage of elevated body mass index (BMI) in patients with HF, BMI does not necessarily reflect a favorable nutritional status. In the present study, we investigated the clinical impact of nutritional screening in patients with HF and overweight/obesity. METHODS We examined the data from 170 patients with overweight or obesity status (defined as BMI ≥ 25 kg/m2) who admitted for acute HF. Their controlling nutritional status (CONUT) score was calculated on admission. The CONUT score is regarded as an index of the nutritional status. RESULTS The median duration of follow-up was 1096 days (interquartile range, 805-1096 days). Undernutrition was identified in 66.5% of the patients. Kaplan-Meier survival analysis demonstrated that patients with undernutrition had a higher incidence of all-cause death and readmission due to HF than those without undernutrition. Multivariate Cox regression analysis revealed that the CONUT score, but not BMI and the geriatric nutritional risk index, was independently correlated with poor prognosis.