Cellular heterogeneity of pluripotent stem cell-derived cardiomyocyte grafts is mechanistically linked to treatable arrhythmias.

Preclinical data have confirmed that human pluripotent stem cell-derived cardiomyocytes (PSC-CMs) can remuscularize the injured or diseased heart, with several clinical trials now in planning or recruitment stages. However, because ventricular arrhythmias represent a complication following engraftment of intramyocardially injected PSC-CMs, it is necessary to provide treatment strategies to control or prevent engraftment arrhythmias (EAs). Here, we show in a porcine model of myocardial infarction and PSC-CM transplantation that EAs are mechanistically linked to cellular heterogeneity in the input PSC-CM and resultant graft. Specifically, we identify atrial and pacemaker-like cardiomyocytes as culprit arrhythmogenic subpopulations. Two unique surface marker signatures, signal regulatory protein α (SIRPA)+CD90-CD200+ and SIRPA+CD90-CD200-, identify arrhythmogenic and non-arrhythmogenic cardiomyocytes, respectively. Our data suggest that modifications to current PSC-CM-production and/or PSC-CM-selection protocols could potentially prevent EAs. We further show that pharmacologic and interventional anti-arrhythmic strategies can control and potentially abolish these arrhythmias.

Probabilistic prediction of material stability: integrating convex hulls into active learning.

Active learning is a valuable tool for efficiently exploring complex spaces, finding a variety of uses in materials science. However, the determination of convex hulls for phase diagrams does not neatly fit into traditional active learning approaches due to their global nature. Specifically, the thermodynamic stability of a material is not simply a function of its own energy, but rather requires energetic information from all other competing compositions and phases. Here we present convex hull-aware active learning (CAL), a novel Bayesian algorithm that chooses experiments to minimize the uncertainty in the convex hull. CAL prioritizes compositions that are close to or on the hull, leaving significant uncertainty in other compositions that are quickly determined to be irrelevant to the convex hull. The convex hull can thus be predicted with significantly fewer observations than approaches that focus solely on energy. Intrinsic to this Bayesian approach is uncertainty quantification in both the convex hull and all subsequent predictions (e.g., stability and chemical potential). By providing increased search efficiency and uncertainty quantification, CAL can be readily incorporated into the emerging paradigm of uncertainty-based workflows for thermodynamic prediction.

Managing a patient with uveitis in the era of artificial intelligence: Current approaches, emerging trends, and future perspectives.

The integration of artificial intelligence (AI) with healthcare has opened new avenues for diagnosing, treating, and managing medical conditions with remarkable precision. Uveitis, a diverse group of rare eye conditions characterized by inflammation of the uveal tract, exemplifies the complexities in ophthalmology due to its varied causes, clinical presentations, and responses to treatments. Uveitis, if not managed promptly and effectively, can lead to significant visual impairment. However, its management requires specialized knowledge, which is often lacking, particularly in regions with limited access to health services. AI's capabilities in pattern recognition, data analysis, and predictive modelling offer significant potential to revolutionize uveitis management. AI can classify disease etiologies, analyze multimodal imaging data, predict outcomes, and identify new therapeutic targets. However, transforming these AI models into clinical applications and meeting patient expectations involves overcoming challenges like acquiring extensive, annotated datasets, ensuring algorithmic transparency, and validating these models in real-world settings. This review delves into the complexities of uveitis and the current AI landscape, discussing the development, opportunities, and challenges of AI from theoretical models to bedside application. It also examines the epidemiology of uveitis, the global shortage of uveitis specialists, and the disease's socioeconomic impacts, underlining the critical need for AI-driven approaches. Furthermore, it explores the integration of AI in diagnostic imaging and future directions in ophthalmology, aiming to highlight emerging trends that could transform management of a patient with uveitis and suggesting collaborative efforts to enhance AI applications in clinical practice.

Filgotinib in Active Noninfectious Uveitis: The HUMBOLDT Randomized Clinical Trial.

Importance: Noninfectious uveitis is a leading cause of visual impairment with an unmet need for additional treatment options. Objective: To assess the efficacy and safety of filgotinib, a Janus kinase 1 (JAK1) preferential inhibitor, for the treatment of noninfectious uveitis. Design, Setting, and Participants: The HUMBOLDT trial was a double-masked, placebo-controlled, phase 2, randomized clinical trial conducted from July 2017 to April 2021 at 26 centers in 7 countries. Eligible participants (aged ≥18 years) had active noninfectious intermediate uveitis, posterior uveitis, or panuveitis despite at least 2 weeks of treatment with oral prednisone (10-60 mg per day). Interventions: Participants were randomly assigned 1:1 to receive filgotinib, 200 mg, or placebo orally once daily for up to 52 weeks. Main Outcomes and Measures: The primary end point was the proportion of participants experiencing treatment failure by week 24. Treatment failure was a composite end point represented by assessment of the presence of chorioretinal and/or retinal vascular lesions, best-corrected visual acuity, and anterior chamber cell and vitreous haze grades. Safety was assessed in participants who received at least 1 dose of study drug or placebo. Results: Between July 26, 2017, and April 22, 2021, 116 participants were screened, and 74 (mean [SD] age, 46 [16] years; 43 female [59.7%] of 72 participants, as 2 participants did not receive treatment doses) were randomly assigned to receive filgotinib (n = 38) or placebo (n = 36). Despite early termination of the trial for business reasons ahead of meeting enrollment targets, a significantly reduced proportion of participants who received filgotinib experienced treatment failure by week 24 vs placebo (12 of 32 participants [37.5%] vs 23 of 34 participants [67.6%]; difference vs placebo -30.1%; 95% CI, -56.2% to -4.1%; P = .006). Business reasons were unrelated to efficacy or safety. Adverse events were reported in 30 of 37 participants (81.1%) who received filgotinib and in 24 of 35 participants (68.6%) who received placebo. Serious adverse events were reported in 5 of 37 participants (13.5%) in the filgotinib group and in 2 of 35 participants (5.7%) in the placebo group. No deaths were reported during the trial. Conclusions and Relevance: Results of this randomized clinical trial show that filgotinib lowered the risk of treatment failure in participants with active noninfectious intermediate uveitis, posterior uveitis, or panuveitis vs placebo. Although the HUMBOLDT trial provided evidence supporting the efficacy of filgotinib in patients with active noninfectious uveitis, the premature termination of the trial prevented collection of additional safety or efficacy information of this JAK1 preferential inhibitor. Trial Registration: ClinicalTrials.gov Identifier: NCT03207815.

The activity of early-life gene regulatory elements is hijacked in aging through pervasive AP-1-linked chromatin opening.

A mechanistic connection between aging and development is largely unexplored. Through profiling age-related chromatin and transcriptional changes across 22 murine cell types, analyzed alongside previous mouse and human organismal maturation datasets, we uncovered a transcription factor binding site (TFBS) signature common to both processes. Early-life candidate cis-regulatory elements (cCREs), progressively losing accessibility during maturation and aging, are enriched for cell-type identity TFBSs. Conversely, cCREs gaining accessibility throughout life have a lower abundance of cell identity TFBSs but elevated activator protein 1 (AP-1) levels. We implicate TF redistribution toward these AP-1 TFBS-rich cCREs, in synergy with mild downregulation of cell identity TFs, as driving early-life cCRE accessibility loss and altering developmental and metabolic gene expression. Such remodeling can be triggered by elevating AP-1 or depleting repressive H3K27me3. We propose that AP-1-linked chromatin opening drives organismal maturation by disrupting cell identity TFBS-rich cCREs, thereby reprogramming transcriptome and cell function, a mechanism hijacked in aging through ongoing chromatin opening.

Status and barriers to circular bio-based building material adoption in developed economies: The case of Flanders, Belgium.

Circular bio-based building materials (CBBMs) provide a potential solution to reduce the climate impacts of buildings and offer opportunities to transition the construction industry to a circular model. Promoting the use of these materials can also bring economic, environmental, and social benefits from valorising biowaste and by-products from other sectors. Despite their potential, CBBMs have not received sufficient attention globally, and their adoption is hindered by various barriers. However, it is unclear what the CBBMs' use status is, what adoption barriers exist, how these barriers interact, and what should be done to address them. This study addresses these knowledge gaps through a systematic study using mixed methods to investigate the adoption status and barriers to these materials in developed economies by using a specific case analysis in Flanders. The data analysis results show that hemp-based, cork-based, and straw-based materials are the most used, while the market for CBBMs is very limited in the region. Twenty-three potential adoption barriers were identified and selected from the existing literature, then ranked based on their mean scores. The t-test analysis helps to identify 13 critical barriers, which are grouped into five categories, including cost and risk-related barriers, technical and cultural-related barriers, the government's role-related barriers, information and quality-related barriers, and market-related barriers. Among them, cost and risk-related barriers, including "concern about the high initial cost", "risks and uncertainties involved in adopting new materials", and "perception of the extra cost being incurred", are the three most critical barriers to CBBM adoption in Flanders. Kendall's W test shows good consensus among the two expert groups-with and without hands-on experience in utilising CBBMs-in their rankings of the barriers. Meanwhile, the Mann-Whitney U test indicates no statistically significant differences in the ranks of barriers between the two expert groups. The interview results confirm almost all survey results and provide deeper insights into the status and barriers to adopting these materials. Practical and policy implications are discussed based on these findings to inform policy deliberations on promoting CBBMs. This study may also be a good reference for scholars and industry practitioners to better understand issues impacting decision-making towards the adoption of CBBMs in the construction industry.

Heptaellipside A, a rare new 2,28-bidesmosidic lupane-type saponin from the leaves of Heptapleurum ellipticum.

For the first time, phytochemical constituents of the leaves of Heptapleurum ellipticum were investigated. One rare new 2,28-bidesmosidic lupane-type saponin, named heptaellipside A (1), along with four other lupane-type analogs (2-5) were purified by combining differently chromatographic methods. All of the separated compounds (1-5) were communicated for the first time from H. ellipticum. The structures of them were definitely illustrated following extensive and comprehensive UV/VIS, FTIR, HRMS/ESI, and NMR techniques. Further, all isolated compounds were evaluated for their α-glucosidase and α-amylase inhibition. As the results, compound 3 respectively exhibited stronger in both inhibitory activities against α-glucosidase and α-amylase (IC50 values of 15.53 and 26.93 µM), than the acarbose standard (IC50 values of 214.50 and 143.48 µM).

ROBIN: a randomised, double-masked, placebo-controlled Phase IIa study of the AOC3 inhibitor BI 1467335 in diabetic retinopathy.

OBJECTIVE: To evaluate the safety and efficacy of BI 1467335 in patients with non-proliferative diabetic retinopathy (NPDR). METHODS: ROBIN is a Phase IIa, double-masked, randomised, placebo-controlled study (NCT03238963). Patients with NPDR and without centre-involved diabetic macular oedema were included; all had a best corrected visual acuity letter score of ≥70 Early Treatment Diabetic Retinopathy Study letters in the study eye at screening. Patients received oral BI 1467335 10 mg or placebo once daily for 12 weeks. Post-treatment follow-up was 12 weeks. The primary endpoint was the proportion of patients over the 24 weeks with ocular adverse events (AEs). Secondary endpoints were the proportion of patients with ≥2-step improvement from baseline in DRSS severity level at Week 12 and the proportion of patients with non-ocular AEs at 24 weeks. RESULTS: Seventy-nine patients entered the study (BI 1467335, n = 40; placebo, n = 39). The proportion of patients with ocular AEs over 24 weeks was greater in the BI 1467335 versus the placebo group (35.0% vs 23.1%, respectively). Treatment-related AEs were reported for similar numbers of patients in the placebo and BI 1467335 group (7.7% vs 7.5%, respectively). At Week 12, 5.7% (n = 2) of patients in the BI 1467335 group had a 2-step improvement in DRSS severity level from baseline, compared with 0% in the placebo group. CONCLUSIONS: BI 1467335 was well tolerated by patients with NPDR. There was a high variability in DRSS levels for individual patients over time, with no clear efficacy signal.

Exercise rejuvenates microglia and reverses T cell accumulation in the aged female mouse brain.

Slowing and/or reversing brain ageing may alleviate cognitive impairments. Previous studies have found that exercise may mitigate cognitive decline, but the mechanisms underlying this remain largely unclear. Here we provide unbiased analyses of single-cell RNA sequencing data, showing the impacts of exercise and ageing on specific cell types in the mouse hippocampus. We demonstrate that exercise has a profound and selective effect on aged microglia, reverting their gene expression signature to that of young microglia. Pharmacologic depletion of microglia further demonstrated that these cells are required for the stimulatory effects of exercise on hippocampal neurogenesis but not cognition. Strikingly, allowing 18-month-old mice access to a running wheel did by and large also prevent and/or revert T cell presence in the ageing hippocampus. Taken together, our data highlight the profound impact of exercise in rejuvenating aged microglia, associated pro-neurogenic effects and on peripheral immune cell presence in the ageing female mouse brain.

Importance of Baseline Fluorescein Angiography for Patients Presenting to Tertiary Uveitis Clinic.

PURPOSE: To ascertain whether the use of ultra-wide-field fluorescein angiography (UWFFA) at baseline visit alters the assessment of disease activity and localization, as well as the management of patients presenting to a tertiary uveitis clinic. DESIGN: Retrospective comparison of diagnostic approaches. METHODS: Baseline visits of 158 patients who presented to the Uveitis Clinic at the Byers Eye Institute at Stanford between 2017 and 2022 were evaluated by 3 uveitis-trained ophthalmologists (I.K., A.B., and H.G.). Each eye had undergone clinical examination along with ultra-wide-field fundus photography (UWFFP) (Optos Plc), spectral-domain optical coherence tomography (SD-OCT, Spectralis Heidelberg, Heidelberg Engineering) and UWFFA (Optos Plc) at the baseline visit. Investigators were asked to successively determine disease activity, localization of disease (anterior, posterior or both), and management decisions based on clinical examination and UWFFP and SD-OCT (Set 1) and Set 1 plus UWFFA (Set 2). The primary outcome was the percentage of eyes whose management changed based on the availability of UWFFA compared with Set 1. RESULTS: The mean age of the patients was 46.9 ± 22.4 years (range, 7-96), and 91 (57.6%) were female. With Set 1 alone, 138 eyes (55.2%) were found to have active disease; localization was anterior in 58 eyes (42.0%), posterior in 53 eyes (38.4%), and anterior + posterior in 27 eyes (19.6%). With Set 2, 169 eyes of 107 patients had active anterior, posterior, or panuveitis. In comparison with Set 1, assessment with Set 2 identified additional 31 eyes (18.3%) with active disease (P = .006) and an additional 31 eyes (18.3%) having disease in both anterior + posterior segments (P < .001). Regarding the primary outcome, management was changed in 68 eyes (27.4%) in Set 2 compared with Set 1. CONCLUSIONS: Baseline UWFFA may alter assessment of disease activity, localization, and management decisions compared with clinical examination with only UWFFP and SD-OCT for eyes with uveitis. Thus, UWFFA may be considered as an essential tool in the evaluation of patients with uveitis at the baseline visit.

Binary dataset for machine learning applications to tropical cyclone formation prediction.

Applications of machine learning (ML) in atmospheric science have been rapidly growing. To facilitate the development of ML models for tropical cyclone (TC) research, this binary dataset contains a specific customization of the National Center for Environmental Prediction (NCEP)/final analysis (FNL) data, in which key environmental conditions relevant to TC formation are extracted for a range of lead times (0-72 hours) during 1999-2023. The dataset is designed as multi-channel images centered on TC formation locations, with a positive and negative directory structure that can be readily read from any ML applications or common data interface. With its standard structure, this dataset provides users with a unique opportunity to conduct ML application research on TC formation as well as related predictability at different forecast lead times.

Risk factors for development of anti-adalimumab antibodies in non-infectious uveitis.

Purpose: To evaluate risk factors associated with development of anti-adalimumab antibodies (AAA) in patients with non-infectious uveitis treated with adalimumab. Methods: A retrospective, cross-sectional, case-control study was done evaluating patients with non-infectious uveitis treated with adalimumab for at least 12 months and have undergone testing for AAA levels. Demographics, clinical characteristics, grading of ocular inflammation, and previous and concomitant immunomodulatory therapy were assessed. Univariate and multivariate analysis were done to estimate odds ratio (OR) with 95% confidence intervals for the various risk factors. Results: A total of 31 patients were included in the analysis, in which 12 patients who tested positive (Group 1) were matched with 19 patients who tested negative for AAA (Group 2). The groups differed significantly in terms of sex (female) (91.7% vs 52.6%, p = 0.046), presence of systemic disease (91.7% vs 42.1%, p = 0.008), and presence of anterior chamber inflammation at baseline (100% vs 63.2%, p = 0.026). A history of interruption in anti-TNF therapy prior to starting or restarting adalimumab was found to have an increased odds for development of AAA (OR 16.89 [2.92, 107.11], p = 0.008), as well as flare-ups (reactivation of disease) during adalimumab therapy (OR 6.77 [1.80, 61.80], p = 0.027). Weekly dosing of adalimumab was shown to decrease odds of AAA development (OR 0.34 [0.02, 0.70], p = 0.040), while concomitant anti-metabolite therapy was not shown to be a statistically significant protective factor (OR 2.22 [0.50, 9.96], p = 0.148). Conclusions: History of interruption in anti-TNF therapy and flare during adalimumab were associated with development of AAA, while weekly dosing of adalimumab was protective against AAA. Identification of those with higher risk of developing AAA may guide in clinical decision making to optimize management for these patients.

Incidental Breast Hemangioma on Breast MRI: A Case Report.

Vascular tumors of the breast are rare, but benign hemangiomas are the most common type. Capillary hemangiomas are a subset of benign vascular tumors that involve smaller vessel sizes. They are difficult to diagnose with mammography and ultrasound, as they lack pathognomonic features and are frequently not seen. MRI is the most sensitive imaging tool. The lesions appear similar to angiosarcoma or ductal carcinoma in situ on imaging, which further complicates the diagnosis. A biopsy of the lesions is required for a definitive diagnosis. In this report, a 49-year-old female with newly diagnosed breast cancer is incidentally found to have a capillary hemangioma on staging breast MRI that was confirmed with a biopsy and excised along with the primary breast cancer with a partial mastectomy. The imaging findings of breast hemangioma on mammography, ultrasound, and MRI are also reviewed and described in this report.

A User-friendly Approach for the Diagnosis of Diabetic Retinopathy Using ChatGPT and Automated Machine Learning.

Purpose: To assess the capabilities of Chat Generative Pre-trained Transformer (ChatGPT) and Vertex AI in executing code-free preprocessing, training machine learning (ML) models, and analyzing the data. Design: Evaluation of diagnostic test or technology. Participants: ChatGPT and Vetrex AI as publicly available large language model and ML platform, respectively. Methods: ChatGPT was employed to improve the resolution of fundus photography images from the Methods to Evaluate Segmentation and Indexing Techniques in the field of Retinal Ophthalmology (Messidor-2) open-source dataset using the Contrast Limited Adaptive Histogram Equalization (CLAHE) technique by Fiji software. Subsequently, Vertex AI, an automated ML (AutoML) platform, was utilized to develop 2 classification models. The first model served as a binary classifier for detecting the presence of diabetic retinopathy (DR), while the second determined its severity. Finally, ChatGPT was used to provide scripts for R and Python programming languages for data analysis and was also directly employed in analyzing the data in a code-free method. Main Outcome Measures: Evaluating the utility of ChatGPT in generating scripts for preprocessing images using Fiji and analyzing data across Python and R and assessing its potential in analyzing data through a code-free method. Investigating the capabilities of Vertex AI to train image classification models for detection of DR and its severity. Results: Two ML models were trained using 1740 images from the Messidor-2 database. The first model, designed to detect the severity of DR, achieved an area under the precision-recall curve (AUPRC) of 0.81, with a precision rate of 81.81% and recall of 72.83%. The second model, tailored for the detection of the presence of DR, recorded a precision and recall of 84.48% with an AUPRC of 0.90. Conclusions: ChatGPT and Vertex AI have the potential to enable physicians without coding expertise to preprocess images, analyze data, and train ML models. Financial Disclosures: Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.

Aqueous humour interleukin-6 and vision outcomes with anti-vascular endothelial growth factor therapy.

BACKGROUND: This analysis evaluated aqueous humour (AH) interleukin (IL)-6 concentrations and the association between AH IL-6 and visual outcomes in patients with neovascular age-related macular degeneration (nAMD) or diabetic macular oedema (DMO) receiving anti-vascular endothelial growth factor (VEGF) monotherapy. METHODS: Post hoc analysis of the multicentre, double-masked, randomised HARBOR (NCT00891735) and READ-3 (NCT01077401) trials. HARBOR enrolled treatment-naïve nAMD patients. READ-3 enrolled treatment-naïve/previously treated DMO patients. HARBOR patients received ranibizumab 0.5 or 2.0 mg monthly or as needed; AH samples were collected at month 2, after two previous intravitreal injections. READ-3 patients received ranibizumab 0.5 or 2.0 mg as needed; AH samples were collected at baseline and months 3, 6, 9, and 12. MAIN OUTCOME MEASURE: association between AH IL-6 concentrations and month 24 best-corrected visual acuity (BCVA). RESULTS: In both trials (HARBOR, N = 36; READ-3, N = 137), patients with higher AH IL-6 concentrations had worse visual outcomes. HARBOR patients with low AH IL-6 concentrations at month 2 had a mean (95% CI) BCVA change at month 24 of +2.9 (-2.6, 8.3) letters, whereas patients with high AH concentrations had a mean (95% CI) BCVA change of -9.0 (-22.7, 4.7) letters. READ-3 patients with low AH concentrations at baseline had a mean (95% CI) BCVA change at month 12 of +9.3 (7.4, 11.3) letters, whereas patients with high AH concentrations had a mean (95% CI) BCVA change of +5.6 (2.2, 9.1) letters. CONCLUSIONS: Higher IL-6 AH concentrations may predict suboptimal visual responses to anti-VEGF monotherapy in patients with nAMD/DMO.

The effect of polycystic ovarian syndrome on fibrocystic breast changes in postmenopausal women.

Background: Fibrocystic breast changes (FCCs) are benign lesions thought to be caused by an increased estrogen-to-progesterone ratio. One of the most common endocrinopathies that increases this ratio is polycystic ovarian syndrome (PCOS). Although nonproliferative FCCs do not increase the risk of breast cancer, they can make mammographic detection of malignancy in postmenopausal women more difficult. The aim of this study was to investigate the effects of PCOS on the development of postmenopausal FCCs. Methods: This retrospective cohort study used the TriNetX research network to identify two cohorts of postmenopausal women (Z78.0) older than 45, without a prior diagnosis of FCCs (N60.1) or hormone replacement therapy (Z79.890). One cohort included a diagnosis of PCOS (E28.2). The cohorts were balanced for age, race, ethnicity, and hormonally relevant comorbidities. The cohorts were then evaluated for the development of FCCs after menopause. Results: Postmenopausal patients with PCOS were 52% more likely to develop FCCs than those without PCOS (2.2% vs. 1.4%, relative risk 1.52, 95% confidence interval 1.05, 2.22, P = 0.03). Conclusion: Postmenopausal women with PCOS have a higher risk of developing FCCs. Further studies are needed to improve the differentiation of benign FCCs from malignant lesions on imaging for postmenopausal women with PCOS who develop FCCs.

Single-cell RNA sequencing reveals peripheral blood leukocyte responses to spinal cord injury in mice with humanised immune systems.

Next-generation humanised mouse models and single-cell RNA sequencing (scRNAseq) approaches enable in-depth studies into human immune cell biology. Here we used NSG-SGM3 mice engrafted with human umbilical cord haematopoietic stem cells to investigate how human immune cells respond to and/or are changed by traumatic spinal cord injury (SCI). We hypothesised that the use of such mice could help advance our understanding of spinal cord injury-induced immune depression syndrome (SCI-IDS), and also how human leukocytes change as they migrate from the circulation into the lesion site. Our scRNAseq experiments, supplemented by flow cytometry, demonstrate the existence of up to 11 human immune cell (sub-) types and/or states across the blood and injured spinal cord (7 days post-SCI) of humanised NSG-SGM3 mice. Further comparisons of human immune cell transcriptomes between naïve, sham-operated and SCI mice identified a total of 579 differentially expressed genes, 190 of which were 'SCI-specific' (that is, genes regulated only in response to SCI but not sham surgery). Gene ontology analysis showed a prominent downregulation of immune cell function under SCI conditions, including for T cell receptor signalling and antigen presentation, confirming the presence of SCI-IDS and the transcriptional signature of human leukocytes in association with this phenomenon. We also highlight the activating influence of the local spinal cord lesion microenvironment by comparing the transcriptomes of circulating versus infiltrated human immune cells; those isolated from the lesion site were enriched for genes relating to both immune cell activity and function (e.g., oxidative phosphorylation, T cell proliferation and antigen presentation). We lastly applied an integrated bioinformatics approach to determine where immune responses in humanised NSG-SGM3 mice appear congruent to the native responses of human SCI patients, and where they diverge. Collectively, our study provides a valuable resource and methodological framework for the use of these mice in translational research.