Resident and recruited macrophages differentially contribute to cardiac healing after myocardial ischemia.

Cardiac macrophages are heterogenous in phenotype and functions, which has been associated with differences in their ontogeny. Despite extensive research, our understanding of the precise role of different subsets of macrophages in ischemia/reperfusion (I/R) injury remains incomplete. We here investigated macrophage lineages and ablated tissue macrophages in homeostasis and after I/R injury in a CSF1R-dependent manner. Genomic deletion of a fms-intronic regulatory element (FIRE) in the Csf1r locus resulted in specific absence of resident homeostatic and antigen-presenting macrophages, without affecting the recruitment of monocyte-derived macrophages to the infarcted heart. Specific absence of homeostatic, monocyte-independent macrophages altered the immune cell crosstalk in response to injury and induced proinflammatory neutrophil polarization, resulting in impaired cardiac remodeling without influencing infarct size. In contrast, continuous CSF1R inhibition led to depletion of both resident and recruited macrophage populations. This augmented adverse remodeling after I/R and led to an increased infarct size and deterioration of cardiac function. In summary, resident macrophages orchestrate inflammatory responses improving cardiac remodeling, while recruited macrophages determine infarct size after I/R injury. These findings attribute distinct beneficial effects to different macrophage populations in the context of myocardial infarction.

Enhancing Conductivity of Silver Nanowire Networks through Surface Engineering Using Bidentate Rigid Ligands.

Solution processable metallic nanomaterials present a convenient way to fabricate conductive structures, which are necessary in all electronic devices. However, they tend to require post-treatments to remove the bulky ligands around them to achieve high conductivity. In this work, we present a method to formulate a post-treatment free conductive silver nanowire ink by controlling the type of ligands around the silver nanowires. We found that bidentate ligands with a rigid molecular structure were effective in improving the conductivity of the silver nanowire networks as they could maximize the number of linkages between neighboring nanowires. In addition, DFT calculations also revealed that ligands with good LUMO to silver energy alignment were more effective. Because of these reasons, fumaric acid was found to be the most effective ligand and achieved a large reduction in sheet resistance of 70% or higher depending on the nanowire network density. The concepts elucidated from this study would also be applicable to other solution processable nanomaterials systems such as quantum dots for photovoltaics or LEDs which also require good charge transport being neighboring nanoparticles.

HiDeNN-FEM: A seamless machine learning approach to nonlinear finite element analysis.

The hierarchical deep-learning neural network (HiDeNN) (Zhang et al, Computational Mechanics, 67:207-230) provides a systematic approach to constructing numerical approximations that can be incorporated into a wide variety of Partial differential equations (PDE) and/or Ordinary differential equations (ODE) solvers. This paper presents a framework of the nonlinear finite element based on HiDeNN approximation (nonlinear HiDeNN-FEM). This is enabled by three basic building blocks employing structured deep neural networks: 1) A partial derivative operator block that performs the differentiation of the shape functions with respect to the element coordinates, 2) An r-adaptivity block that improves the local and global convergence properties and 3) A materials derivative block that evaluates the material derivatives of the shape function. While these building blocks can be applied to any element, specific implementations are presented in 1D and 2D to illustrate the application of the deep learning neural network. Two-step optimization schemes are further developed to allow for the capabilities of r-adaptivity and easy integration with any existing FE solver. Numerical examples of 2D and 3D demonstrate that the proposed nonlinear HiDeNN-FEM with r-adaptivity provides much higher accuracy than regular FEM. It also significantly reduces element distortion and suppresses the hourglass mode.

COVID-19 hip fracture outcomes: The role of Ct values and D-dimer levels?

Introduction: The COVID-19 pandemic has caused high mortality rates in hip fracture patients, but data for Asian patients are lacking. Whilst Cycle threshold (Ct) values and D-dimer have been reported as predictors of mortality in COVID-19 patients, their prognostic roles in those with concomitant hip fracture remain unknown. The objectives of this study were to i) assess the clinical outcomes of COVID-19 hip fractures patients in the Chinese population, ii) identify risk factors of mortality and complications, and iii) determine the prognostic roles of Ct values and D-dimer levels. Methodology: This cohort study was conducted during the 5th wave of the COVID-19 pandemic. Inclusion criteria were 1) hip fracture 2) â€‹≥ â€‹60 years old 3) low-energy trauma. Outcomes were 90-day all-cause mortality, complications, length of stay, discharge destination and mobility status. Logistic regression analysis was performed to identify risk factors for mortality and complications. Subgroup analysis was performed for patients with Ct â€‹< â€‹30 and Ct â€‹> â€‹30, comparing their outcomes of operations performed within 48 â€‹h vs beyond 48 â€‹h. Results: 159 hip fracture patients were included, 42 patients were COVID-19 positive. COVID-19 group had significantly higher 90-day mortality rates (21.4% vs 9.4%), complication rates (45.2% vs 28.2%) and longer length of stay (17.06 vs 10.84 nights). COVID-19 was an independent risk factor for mortality and complications. Amongst the COVID-19 group, risk factors for poor outcomes were advanced age, steroids use, conservative treatment and American Society of Anaesthesiologists (ASA) score ≥ 3. Conservative treatment was associated with higher mortality (OR â€‹= â€‹16.00; p â€‹= â€‹0.025) in COVID-19 hip fracture patients. There was no significant difference between Ct values â€‹< â€‹30 and >30 regarding mortality and complication rate. D-dimer and timing to operation did not affect outcomes. Conclusions: Patients with concomitant COVID-19 and hip fracture are at high risk of mortality and complications. Ct values and D-dimer levels have no prognostic roles for hip fracture outcomes. Early operative treatment is recommended as soon as patients are medically fit.

Six-Month Survivorship Prediction in Spinal Metastatic Patients by Oncologists Shows Reliable Prognostication.

STUDY DESIGN: A retrospective analysis of oncologist-provided prognoses vs actual survival outcomes of patients referred with Metastatic spinal cord compression (MSCC) to a supra-regional multidisciplinary team (MDT). OBJECTIVES: Prognostic scoring systems, such as the revised Tokuhashi, are commonly used to help guide the treatment of MSCC. However, scoring systems do not accommodate for the improved outcomes of contemporary cancer therapy. Oncologist-provided prognoses play an important role in real world rapid decision making. There is a paucity of evidence assessing the accuracy of the oncologist-provided prognosis. We conducted a retrospective study to evaluate this. METHODS: Data was captured between January 2015 and December 2018. Patients were split into 2 groups: Group 1 (prognosis estimated <6 months) and Group 2 (prognosis estimated >6 months). Median overall survival (mOS) and hazard ratio for death (HR) was assessed. Receiver operating characteristic (ROC) analysis was performed to assess the accuracy of the oncologist's prognosis. RESULTS: 829 patients were included. mOS in Group 1 was 5.8 months (95% CI 4.2-7.4 m), and in Group 2 mOS was not reached. Log rank test gave a Chi2 of 131 (P < .001). Cox regression analysis revealed a HR of .30 (P < .001). Area under the ROC curve was 78%. CONCLUSIONS: Oncologist-provided prognosis is accurate in this cohort of unselected, consecutive MSCC patients. It reduced reliance on scoring systems that can become outdated. Given the rapid progress in cancer treatment, the oncologist's prognostic prediction is integral in efficient and effective MSCC management to help rapidly determine surgical candidacy.

Interventional radiology training in the UK: a view from within-a national survey.

OBJECTIVE: Interventional radiology (IR) training in the UK has evolved since recognition as a subspecialty in 2010 and introduction of a new curriculum in 2021. The changing landscape, increasing workload and COVID-19 have affected training. The purpose of this study was to review trainees' perspectives on training and develop strategies to further improve training. METHODS: Online survey approved by the British Society of Interventional Radiology Council distributed to British Society of Interventional Radiology Trainee members between 9 March 22 and 25 March 2022. The survey was open to all UK based ST4-6 IR trainees and fellows. Descriptive and thematic analysis was undertaken. RESULTS: 43 responses were received from 17/19 UK training regions. Females represented 10% (4/41) and 5% (2/43) less than full time (LTFT) trainees. 82% (31/38) felt their curriculum was suitable for their training and 28/38 (74%) were satisfied with IR training. Vascular IR, Interventional Oncology, paediatrics and stroke thrombectomy were identified as areas of training desiring improvement. 45% (18/40) stated exposure to IR led clinics and 17.5% (7/40) to IR led ward rounds. Only 6/38 (15.7%) received structured IR teaching at least once a month. Approximately, a third of respondents (13/38) stated training opportunities were significantly compromised secondary to COVID-19. CONCLUSION: This survey shows overall good satisfaction with IR training. However, improved training opportunities in vascular IR, interventional oncology, paediatric IR and stroke thrombectomy are required. In addition, access to clinics, ward rounds and protected time for research is needed to improve training quality. ADVANCES IN KNOWLEDGE: New national UK IR training survey.

Carnobacterium maltaromaticum boosts intestinal vitamin D production to suppress colorectal cancer in female mice.

Carnobacterium maltaromaticum was found to be specifically depleted in female patients with colorectal cancer (CRC). Administration of C. maltaromaticum reduces intestinal tumor formation in two murine CRC models in a female-specific manner. Estrogen increases the attachment and colonization of C. maltaromaticum via increasing the colonic expression of SLC3A2 that binds to DD-CPase of this bacterium. Metabolomic and transcriptomic profiling unveils the increased gut abundance of vitamin D-related metabolites and the mucosal activation of vitamin D receptor (VDR) signaling in C. maltaromaticum-gavaged mice in a gut microbiome- and VDR-dependent manner. In vitro fermentation system confirms the metabolic cross-feeding of C. maltaromaticum with Faecalibacterium prausnitzii to convert C. maltaromaticum-produced 7-dehydrocholesterol into vitamin D for activating the host VDR signaling. Overall, C. maltaromaticum colonizes the gut in an estrogen-dependent manner and acts along with other microbes to augment the intestinal vitamin D production to activate the host VDR for suppressing CRC.

IPSC-Derived Sensory Neurons Directing Fate Commitment of Human BMSC-Derived Schwann Cells: Applications in Traumatic Neural Injuries.

The in vitro derivation of Schwann cells from human bone marrow stromal cells (hBMSCs) opens avenues for autologous transplantation to achieve remyelination therapy for post-traumatic neural regeneration. Towards this end, we exploited human induced pluripotent stem-cell-derived sensory neurons to direct Schwann-cell-like cells derived from among the hBMSC-neurosphere cells into lineage-committed Schwann cells (hBMSC-dSCs). These cells were seeded into synthetic conduits for bridging critical gaps in a rat model of sciatic nerve injury. With improvement in gait by 12-week post-bridging, evoked signals were also detectable across the bridged nerve. Confocal microscopy revealed axially aligned axons in association with MBP-positive myelin layers across the bridge in contrast to null in non-seeded controls. Myelinating hBMSC-dSCs within the conduit were positive for both MBP and human nucleus marker HuN. We then implanted hBMSC-dSCs into the contused thoracic cord of rats. By 12-week post-implantation, significant improvement in hindlimb motor function was detectable if chondroitinase ABC was co-delivered to the injured site; such cord segments showed axons myelinated by hBMSC-dSCs. Results support translation into a protocol by which lineage-committed hBMSC-dSCs become available for motor function recovery after traumatic injury to both peripheral and central nervous systems.

The evolution of lung cancer and impact of subclonal selection in TRACERx.

Lung cancer is the leading cause of cancer-associated mortality worldwide1. Here we analysed 1,644 tumour regions sampled at surgery or during follow-up from the first 421 patients with non-small cell lung cancer prospectively enrolled into the TRACERx study. This project aims to decipher lung cancer evolution and address the primary study endpoint: determining the relationship between intratumour heterogeneity and clinical outcome. In lung adenocarcinoma, mutations in 22 out of 40 common cancer genes were under significant subclonal selection, including classical tumour initiators such as TP53 and KRAS. We defined evolutionary dependencies between drivers, mutational processes and whole genome doubling (WGD) events. Despite patients having a history of smoking, 8% of lung adenocarcinomas lacked evidence of tobacco-induced mutagenesis. These tumours also had similar detection rates for EGFR mutations and for RET, ROS1, ALK and MET oncogenic isoforms compared with tumours in never-smokers, which suggests that they have a similar aetiology and pathogenesis. Large subclonal expansions were associated with positive subclonal selection. Patients with tumours harbouring recent subclonal expansions, on the terminus of a phylogenetic branch, had significantly shorter disease-free survival. Subclonal WGD was detected in 19% of tumours, and 10% of tumours harboured multiple subclonal WGDs in parallel. Subclonal, but not truncal, WGD was associated with shorter disease-free survival. Copy number heterogeneity was associated with extrathoracic relapse within 1 year after surgery. These data demonstrate the importance of clonal expansion, WGD and copy number instability in determining the timing and patterns of relapse in non-small cell lung cancer and provide a comprehensive clinical cancer evolutionary data resource.

Data-driven discovery of dimensionless numbers and governing laws from scarce measurements.

Dimensionless numbers and scaling laws provide elegant insights into the characteristic properties of physical systems. Classical dimensional analysis and similitude theory fail to identify a set of unique dimensionless numbers for a highly multi-variable system with incomplete governing equations. This paper introduces a mechanistic data-driven approach that embeds the principle of dimensional invariance into a two-level machine learning scheme to automatically discover dominant dimensionless numbers and governing laws (including scaling laws and differential equations) from scarce measurement data. The proposed methodology, called dimensionless learning, is a physics-based dimension reduction technique. It can reduce high-dimensional parameter spaces to descriptions involving only a few physically interpretable dimensionless parameters, greatly simplifying complex process design and system optimization. We demonstrate the algorithm by solving several challenging engineering problems with noisy experimental measurements (not synthetic data) collected from the literature. Examples include turbulent Rayleigh-Bénard convection, vapor depression dynamics in laser melting of metals, and porosity formation in 3D printing. Lastly, we show that the proposed approach can identify dimensionally homogeneous differential equations with dimensionless number(s) by leveraging sparsity-promoting techniques.

Magnetically assisted drop-on-demand 3D printing of microstructured multimaterial composites.

Microstructured composites with hierarchically arranged fillers fabricated by three-dimensional (3D) printing show enhanced properties along the fillers' alignment direction. However, it is still challenging to achieve good control of the filler arrangement and high filler concentration simultaneously, which limits the printed material's properties. In this study, we develop a magnetically assisted drop-on-demand 3D printing technique (MDOD) to print aligned microplatelet reinforced composites. By performing drop-on-demand printing using aqueous slurry inks while applying an external magnetic field, MDOD can print composites with microplatelet fillers aligned at set angles with high filler concentrations up to 50 vol%. Moreover, MDOD allows multimaterial printing with voxelated control. We showcase the capabilities of MDOD by printing multimaterial piezoresistive sensors with tunable performances based on the local microstructure and composition. MDOD thus creates a large design space to enhance the mechanical and functional properties of 3D printed electronic or sensing devices using a wide range of materials.

High Charlson Comorbidity Index Score is associated with early fracture-related complication for internal fixation of neck of femur fractures.

The incidence of geriatric hip fractures continues to rise in our aging population and has become a major public health concern globally. The primary outcome of this study was to determine whether Age-adjusted Charlson Comorbidity Index (ACCI) is associated with increased fracture-related complications in neck of femur fractures treated by internal fixation. This was a cohort study between January 2014 to June 2018. All patients ≥ 50 years old with an acute neck of femur fracture after low-energy trauma fixed with cannulated hip screws were included and followed-up for 1 year at a tertiary centre. Primary outcome was to determine whether ACCI was associated with increased fracture-related complications. Secondary outcomes were revision rate, mortality, and function after surgery. Further analysis were performed within a "younger" group (age 50-65) and "elder" group (age > 65), as displaced fractures (Garden Type III/IV) were in "younger" group. 233 hip fractures (68 males; 165 females) with a mean age of 73.04 ± 12.89 were included in the study. Surgical outcomes showed that the complication rate of hip screw fixation for all patients was 21.5% (50 patients) at 1 year. ACCI was significantly higher in all patients with complications (p = 0.000). Analysis within "younger" (p = 0.000) and "elder" groups (p = 0.006) both showed significance. Stepwise logistic regression modelling showed ACCI had positive correlation with complications with ACCI = 6 (OR 4.27, p = 0.02). R2 values were comparatively better after controlled by Garden Type III/IV at ACCI = 4 (OR 6.42 (1.70, 24.25), p = 0.01). The authors recommend that for patients with a Garden Type I/II and ACCI ≥ 6 or a Garden Type III/IV and ACCI ≥ 4, a direct arthroplasty surgery should be considered.

Vitamin D3 and carbamazepine protect against Clostridioides difficile infection in mice by restoring macrophage lysosome acidification.

Clostridioides difficile infection (CDI) is a common cause of nosocomial diarrhea. TcdB is a major C. difficile exotoxin that activates macrophages to promote inflammation and epithelial damage. Lysosome impairment is a known trigger for inflammation. Herein, we hypothesize that TcdB could impair macrophage lysosomal function to mediate inflammation during CDI. Effects of TcdB on lysosomal function and the downstream pro-inflammatory SQSTM1/p62-NFKB (nuclear factor kappa B) signaling were assessed in cultured macrophages and in a murine CDI model. Protective effects of two lysosome activators (i.e., vitamin D3 and carbamazepine) were assessed. Results showed that TcdB inhibited CTNNB1/ß-catenin activity to downregulate MITF (melanocyte inducing transcription factor) and its direct target genes encoding components of lysosomal membrane vacuolar-type ATPase, thereby suppressing lysosome acidification in macrophages. The resulting lysosomal dysfunction then impaired autophagic flux and activated SQSTM1-NFKB signaling to drive the expression of IL1B/IL-1ß (interleukin 1 beta), IL8 and CXCL2 (chemokine (C-X-C motif) ligand 2). Restoring MITF function by enforced MITF expression or restoring lysosome acidification with 1α,25-dihydroxyvitamin D3 or carbamazepine suppressed pro-inflammatory cytokine expression in vitro. In mice, gavage with TcdB-hyperproducing C. difficile or injection of TcdB into ligated colon segments caused prominent MITF downregulation in macrophages. Vitamin D3 and carbamazepine lessened TcdB-induced lysosomal dysfunction, inflammation and histological damage. In conclusion, TcdB inhibits the CTNNB1-MITF axis to suppress lysosome acidification and activates the downstream SQSTM1-NFKB signaling in macrophages during CDI. Vitamin D3 and carbamazepine protect against CDI by restoring MITF expression and lysosomal function in mice.Abbreviations: ATP6V0B: ATPase H+ transporting V0 subunit b; ATP6V0C: ATPase H+ transporting V0 subunit c; ATP6V0E1: ATPase H+ transporting V0 subunit e1; ATP6V1H: ATPase H+ transporting V1 subunit H; CBZ: carbamazepine; CDI: C. difficile infection; CXCL: chemokine C-X-X motif ligand; IL: interleukin; LAMP1: lysosomal-associated membrane protein 1; LC3: microtubule-associated protein 1 light chain 3; LEF: lymphoid enhancer binding factor 1; MITF: melanocyte inducing transcription factor; NFKB: nuclear factor kappa B; PMA: phorbol 12-myristate 13-acetate; TcdA: Clostridial toxin A; TcdB: Clostridial toxin B; TFE3: transcription factor E3; TFEB: transcription factor EB.

Vibration therapy as an intervention for enhancing trochanteric hip fracture healing in elderly patients: a randomized double-blinded, placebo-controlled clinical trial.

BACKGROUND: There are more than 300,000 hip fractures yearly in the USA with mortality rates of 20% within 1 year. The treatment of osteoporotic fractures is a major challenge as bone quality is poor, and healing is expected to delay due to the impaired healing properties with respect to bone formation, angiogenesis, and mineralization. Enhancement of osteoporotic fracture healing and function is therefore critical as a major goal in modern fracture management. Previous pre-clinical studies have shown that low-magnitude high-frequency vibration (LMHFV) accelerates osteoporotic fracture healing. The objective of this study is to investigate the effect of LMHFV on accelerating trochanteric hip fracture healing and functional recovery. METHODS: This is a randomized, double-blinded, placebo-controlled clinical trial to evaluate the effect of LMHFV in accelerating trochanteric hip fracture healing. All fractures undergo cephalomedullary nail fixation. The primary outcome of this study is time to fracture healing by X-ray. Computed tomography (CT) and dual-energy X-ray absorptiometry (DXA) will also be performed. Blood circulation at the fracture site will be assessed by dynamic perfusion magnetic resonance (MR). Clinical results include functional recovery by muscle strength, timed up and go test (TUG), quality of life questionnaire (SF-36), balancing, falls, and mortality. DISCUSSION: Previous animal studies have demonstrated LMHFV to improve both normal and osteoporotic fracture healing by accelerating callus formation and mineralization. The mechanical stimulation stimulates angiogenesis by significantly enhancing vascular volume and blood flow velocity. This is the first study to translate LMHFV to enhancing hip fracture healing clinically. Positive results would provide a huge impact in the recovery of hip fracture patients and save healthcare costs. TRIAL REGISTRATION: Clinicaltrials.gov NCT04063891. Registered on August 21, 2019.

Dangers with cementation under low-viscosity state: Cement arterio-venogram and bone cement implantation syndrome.

Cement arterio-venogram is a rare event with cement extrusion into femoral nutrient vessels. In literature it is known to be benign with no significant clinical sequelae. It is postulated that it is due to high cement implantation pressure, that results in optimal cement filling quality. All previously reported cases were female patients, and it is thought to be a female only phenomenon due to the relatively narrow femoral canal leading to higher pressures during cementation. In this case series we report 3 cases different to existing literature. All 3 patients showed a cement arterio-venogram together with bone cement implantation syndrome and hypotension intraoperatively. It was also observed that during implantation the cement was of low viscosity. We postulate low cement viscosity during implantation with pressurization is also a contributing factor to these phenomena. This case series also demonstrates the first 2 male cases, showing this the even can occur in males too. The cement arteriovenogram is located at 41%-42% femur length which is within the 'third sixth' of the length of the femur. Good cementation techniques and prevention is also highlighted in this report.

A new prognostic model for predicting 30-day mortality in acute oncology patients.

INTRODUCTION: Acute oncology services (AOS) provide rapid review and expedited pathways for referral to specialist care for cancer patients. Blood tests may support AOS in providing estimates of prognosis. We aimed to develop and validate a prognostic model of 30-day mortality based on routine blood markers to inform an AOS decision to actively treat or palliate patients. METHODS AND MATERIALS: Using clinical data from 752 AOS referrals, multivariable logistic regression analysis was conducted to develop a 30-day mortality prognostic model. Internal validation and then internal-external cross-validation were used to examine overfitting and generalizability of the model's predictive performance. RESULTS: Urea, alkaline phosphatase, albumin and neutrophils were the strongest predictors of outcome. The model separated patients into distinct prognostic groups from the cross-validation (C Statistic: 0.70; 95% CI: 0.64-0.76). Admission year was included as a predictor in the model to improve the model calibration. CONCLUSION: The developed prediction model was able to classify patients into distinct prognostic risk groups, which is clinically useful for delivering an evidence-based AOS. Collation of data from other AOS centers would allow for the development of a more generalizable prognostic model.

Universal scaling laws of keyhole stability and porosity in 3D printing of metals.

Metal three-dimensional (3D) printing includes a vast number of operation and material parameters with complex dependencies, which significantly complicates process optimization, materials development, and real-time monitoring and control. We leverage ultrahigh-speed synchrotron X-ray imaging and high-fidelity multiphysics modeling to identify simple yet universal scaling laws for keyhole stability and porosity in metal 3D printing. The laws apply broadly and remain accurate for different materials, processing conditions, and printing machines. We define a dimensionless number, the Keyhole number, to predict aspect ratio of a keyhole and the morphological transition from stable at low Keyhole number to chaotic at high Keyhole number. Furthermore, we discover inherent correlation between keyhole stability and porosity formation in metal 3D printing. By reducing the dimensions of the formulation of these challenging problems, the compact scaling laws will aid process optimization and defect elimination during metal 3D printing, and potentially lead to a quantitative predictive framework.