Bayesian Estimation of Inverted Beta Mixture Models With Extended Stochastic Variational Inference for Positive Vector Classification

The finite inverted beta mixture model (IBMM) has been proven to be efficient in modeling positive vectors. Under the traditional variational inference framework, the critical challenge in Bayesian estimation of the IBMM is that the computational cost of performing inference with large datasets is prohibitively expensive, which often limits the use of Bayesian approaches to small datasets. An efficient alternative provided by the recently proposed stochastic variational inference (SVI) framework allows for efficient inference on large datasets. Nevertheless, when using the SVI framework to address the non-Gaussian statistical models, the evidence lower bound (ELBO) cannot be explicitly calculated due to the intractable moment computation. Therefore, the algorithm under the SVI framework cannot directly use stochastic optimization to optimize the ELBO, and an analytically tractable solution cannot be derived. To address this problem, we propose an extended version of the SVI framework with more flexibility, namely, the extended SVI (ESVI) framework. This framework can be used in many non-Gaussian statistical models. First, some approximation strategies are applied to further lower the ELBO to avoid intractable moment calculations. Then, stochastic optimization with noisy natural gradients is used to optimize the lower bound. The excellent performance and effectiveness of the proposed method are verified in real data evaluation.

Ropinirole suppresses LPS-induced periodontal inflammation by inhibiting the NAT10 in an ac4C-dependent manner

BACKGROUND

Periodontitis is a chronic osteolytic inflammatory disease, where anti-inflammatory intervention is critical for restricting periodontal damage and regenerating alveolar bone. Ropinirole, a dopamine D2 receptor agonist, has previously shown therapeutic potential for periodontitis but the underlying mechanism is still unclear.

METHODS

Human gingival fibroblasts (HGFs) treated with LPS were considered to mimic periodontitis in vitro. The dosage of Ropinirole was selected through the cell viability of HGFs evaluation. The protective effects of Ropinirole on HGFs were evaluated by detecting cell viability, cell apoptosis, and pro-inflammatory factor levels. The molecular docking between NAT10 and Ropinirole was performed. The interaction relationship between NAT10 and KLF6 was verified by ac4C Acetylated RNA Immunoprecipitation followed by qPCR (acRIP-qPCR) and dual-luciferase reporter assay.

RESULTS

Ropinirole alleviates LPS-induced damage of HGFs by promoting cell viability, inhibiting cell apoptosis and the levels of IL-1β, IL-18, and TNF-α. Overexpression of NAT10 weakens the effects of Ropinirole on protecting HGFs. Meanwhile, NAT10-mediated ac4C RNA acetylation promotes KLF6 mRNA stability. Upregulation of KLF6 reversed the effects of NAT10 inhibition on HGFs.

CONCLUSIONS

Taken together, Ropinirole protected HGFs through inhibiting the NAT10 ac4C RNA acetylation to decrease the KLF6 mRNA stability from LPS injury. The discovery of this pharmacological and molecular mechanism of Ropinirole further strengthens its therapeutic potential for periodontitis.

IL-36 Regulates Neutrophil Chemotaxis and Bone Loss at the Oral Barrier

Tissue-specific mechanisms regulate neutrophil immunity at the oral barrier, which plays a key role in periodontitis. Although it has been proposed that fibroblasts emit a powerful neutrophil chemotactic signal, how this chemotactic signal is driven has not been clear. The objective of this study was to investigate the site-specific regulatory mechanisms by which fibroblasts drive powerful neutrophil chemotactic signals within the oral barrier, with particular emphasis on the role of the IL-36 family. The present study found that IL-36γ, agonist of IL-36R, could promote neutrophil chemotaxis via fibroblast. Single-cell RNA sequencing data disclosed that IL36G is primarily expressed in human and mouse gingival epithelial cells and mouse neutrophils. Notably, there was a substantial increase in IL-36γ levels during periodontitis. In vitro experiments demonstrated that IL-36γ specifically activates gingival fibroblasts, leading to chemotaxis of neutrophils. In vivo experiments revealed that IL-36Ra inhibited the infiltration of neutrophils and bone resorption, while IL-36γ promoted their progression in the ligature-induced periodontitis mouse model. In summary, these data elucidate the function of the site-enriched IL-36γ in regulating neutrophil immunity and bone resorption at the oral barrier. These findings provide new insights into the tissue-specific pathophysiology of periodontitis and offer a promising avenue for prevention and treatment through targeted intervention of the IL-36 family.

A comparison of different methods to maximise signal extraction when using central venous pressure to optimise atrioventricular delay after cardiac surgery

Objective

Our group has shown that central venous pressure (CVP) can optimise atrioventricular (AV) delay in temporary pacing (TP) after cardiac surgery. However, the signal-to-noise ratio (SNR) is influenced both by the methods used to mitigate the pressure effects of respiration and the number of heartbeats analysed. This paper systematically studies the effect of different analysis methods on SNR to maximise the accuracy of this technique.

Methods

We optimised AV delay in 16 patients with TP after cardiac surgery. Transitioning rapidly and repeatedly from a reference AV delay to different tested AV delays, we measured pressure differences before and after each transition. We analysed the resultant signals in different ways with the aim of maximising the SNR: (1) adjusting averaging window location (around versus after transition), (2) modifying window length (heartbeats analysed), and (3) applying different signal filtering methods to correct respiratory artefact.

Results

(1) The SNR was 27 % higher for averaging windows around the transition versus post-transition windows. (2) The optimal window length for CVP analysis was two respiratory cycle lengths versus one respiratory cycle length for optimising SNR for arterial blood pressure (ABP) signals. (3) Filtering with discrete wavelet transform improved SNR by 62 % for CVP measurements. When applying the optimal window length and filtering techniques, the correlation between ABP and CVP peak optima exceeded that of a single cycle length (R = 0.71 vs. R = 0.50, p < 0.001).

Conclusion

We demonstrated that utilising a specific set of techniques maximises the signal-to-noise ratio and hence the utility of this technique.

Neonatal White Matter Damage Analysis Using DTI Super-Resolution and Multi-Modality Image Registration

Punctate White Matter Damage (PWMD) is a common neonatal brain disease, which can easily cause neurological disorder and strongly affect life quality in terms of neuromotor and cognitive performance. Especially, at the neonatal stage, the best cure time can be easily missed because PWMD is not conducive to the diagnosis based on current existing methods. The lesion of PWMD is relatively straightforward on T1-weighted Magnetic Resonance Imaging (T1 MRI), showing semi-oval, cluster or linear high signals. Diffusion Tensor Magnetic Resonance Image (DT-MRI, referred to as DTI) is a noninvasive technique that can be used to study brain microstructures in vivo, and provide information on movement and cognition-related nerve fiber tracts. Therefore, a new method was proposed to use T1 MRI combined with DTI for better neonatal PWMD analysis based on DTI super-resolution and multi-modality image registration. First, after preprocessing, neonatal DTI super-resolution was performed with the three times B-spline interpolation algorithm based on the Log-Euclidean space to improve DTIs' resolution to fit the T1 MRIs and facilitate nerve fiber tractography. Second, the symmetric diffeomorphic registration algorithm and inverse b0 image were selected for multi-modality image registration of DTI and T1 MRI. Finally, the 3D lesion models were combined with fiber tractography results to analyze and predict the degree of PWMD lesions affecting fiber tracts. Extensive experiments demonstrated the effectiveness and super performance of our proposed method. This streamlined technique can play an essential auxiliary role in diagnosing and treating neonatal PWMD.

A self-supervised network-based smoke removal and depth estimation for monocular endoscopic videos

In minimally invasive surgery videos, label-free monocular laparoscopic depth estimation is challenging due to smoke. For this reason, we propose a self-supervised collaborative network-based depth estimation method with smoke-removal for monocular endoscopic video, which is decomposed into two steps of smoke-removal and depth estimation. In the first step, we develop a de-endoscopic smoke for cyclic GAN (DS-cGAN) to mitigate the smoke components at different concentrations. The designed generator network comprises sharpened guide encoding module (SGEM), residual dense bottleneck module (RDBM) and refined upsampling convolution module (RUCM), which restores more detailed organ edges and tissue structures. In the second step, high resolution residual U-Net (HRR-UNet) consisting of a DepthNet and two PoseNets is designed to improve the depth estimation accuracy, and adjacent frames are used for camera self-motion estimation. In particular, the proposed method requires neither manual labeling nor patient computed tomography scans during the training and inference phases. Experimental studies on the laparoscopic data set of the Hamlyn Centre show that our method can effectively achieve accurate depth information after net smoking in real surgical scenes while preserving the blood vessels, contours and textures of the surgical site. The experimental results demonstrate that the proposed method outperforms existing state-of-the-art methods in effectiveness and achieves a frame rate of 94.45fps in real time, making it a promising clinical application.

Self-Supervised 3D Behavior Representation Learning Based on Homotopic Hyperbolic Embedding

Behavior sequences are generated by a series of spatio-temporal interactions and have a high-dimensional nonlinear manifold structure. Therefore, it is difficult to learn 3D behavior representations without relying on supervised signals. To this end, self-supervised learning methods can be used to explore the rich information contained in the data itself. Context-context contrastive self-supervised methods construct the manifold embedded in Euclidean space by learning the distance relationship between data, and find the geometric distribution of data. However, traditional Euclidean space is difficult to express context joint features. In order to obtain an effective global representation from the relationship between data under unlabeled conditions, this paper adopts contrastive learning to compare global feature, and proposes a self-supervised learning method based on hyperbolic embedding to mine the nonlinear relationship of behavior trajectories. This method adopts the framework of discarding negative samples, which overcomes the shortcomings of the paradigm based on positive and negative samples that pull similar data away in the feature space. Meanwhile, the output of the network is embedded in a hyperbolic space, and a multi-layer perceptron is added to convert the entire module into a homotopic mapping by using the geometric properties of operations in the hyperbolic space, so as to obtain homotopy invariant knowledge. The proposed method combines the geometric properties of hyperbolic manifolds and the equivariance of homotopy groups to promote better supervised signals for the network, which improves the performance of unsupervised learning.

Complete revascularization is associated with higher mortality in patients with ST-elevation myocardial infarction, multi-vessel disease and shock defined by hyperlactataemia: results from the Harefield Shock Registry incorporating explainable machine learning

AIMS

Revascularization strategy for patients with ST-elevation myocardial infarction (STEMI) and multi-vessel disease varies according to the patient's cardiogenic shock status, but assessing shock acutely can be difficult. This article examines the link between cardiogenic shock defined solely by a lactate of ≥2 mmol/L and mortality from complete vs. culprit-only revascularization in this cohort.

METHODS AND RESULTS

Patients presenting with STEMI, multi-vessel disease without severe left main stem stenosis and a lactate ≥2 mmol/L between 2011 and 2021 were included. The primary endpoint was mortality at 30 days by revascularization strategy for shocked patients. Secondary endpoints were mortality at 1 year and over a median follow-up of 30 months. Four hundred and eight patients presented in shock. Mortality in the shock cohort was 27.5% at 30 days. Complete revascularization (CR) was associated with higher mortality at 30 days [odds ratio (OR) 2.1 (1.02-4.2), P = 0.043], 1 year [OR 2.4 (1.2-4.9), P = 0.01], and over 30 months follow-up [hazard ratio (HR) 2.2 (1.4-3.4), P < 0.001] compared with culprit lesion-only percutaneous coronary intervention (CLOP). Mortality was again higher in the CR group after propensity matching (P = 0.018) and inverse probability treatment weighting [HR 2.0 (1.3-3.0), P = 0.001]. Furthermore, explainable machine learning demonstrated that CR was behind only blood gas parameters and creatinine levels in importance for predicting 30-day mortality.

CONCLUSION

In patients presenting with STEMI and multi-vessel disease in shock defined solely by a lactate of ≥2 mmol/L, CR is associated with higher mortality than CLOP.

Unilateral biportal endoscopic spine surgery for lumbar spinal stenosis: a systematic review and meta-analysis

OBJECTIVE

Lumbar spinal stenosis is the most common spinal degenerative disease in patients over 60 years, and the unilateral biportal endoscopic (UBE) spine surgery treatment of lumbar spinal stenosis (LSS) has achieved preliminary clinical results. This systematic review and meta-analysis aimed to reveal the clinical efficacy of UBE for LSS and provide evidence for clinical practice.

MATERIALS AND METHODS

PubMed, Embase, Web of Science, and Cochrane databases were searched for literature. The papers selected were those published from inception till October 2021. The selected pieces of literature were graded for evidence using the Oxford Centre for Evidence-Based Medicine: Levels of Evidence (March 2009). Outcomes measures were operation time, blood loss, complication rate, admission period, Visual Analogue Scale (VAS)-back, VAS-leg, and Oswestry Disability Index (ODI) score, and radiological outcomes. The mean comparisons were based on VAS and ODI scores.

RESULTS

A total of 823 patients with a single LSS segment were included from the selected nine studies. There were nine studies comparing UBE clinical outcomes and micro-endoscopic unilateral laminotomy for bilateral decompression (M-ULBD). The meta-analysis revealed that the UBE group had better VAS-leg and -back scores in the first week postoperatively [total: mean difference (MD) = -0.96, 95% confidence interval (CI): -1.19, -0.74, p < 0.00001; total: MD = -1.69, 95% CI: -1.93, -1.45, p < 0.00001], 1st month postoperatively (total: MD = -0.35, 95% CI: -0.61, -0.08, p = 0.01; total: MD = -0.40, 95% CI: -0.68, -0.12, p = 0.005), 6th month postoperatively (total: MD = -0.22, 95% CI: -0.35, -0.08, p = 0.002; total: MD = -0.24, 95% CI: -0.40, -0.07, p = 0.005), and UBE group also performed better in ODI score at 1st month postoperatively (total: MD = -3.36, 95% CI: -4.26, -2.46, p < 0.00001). There was no significant difference in VAS-leg and -back scores between both groups at the 3rd and 12th month postoperatively, and ODI scores did not significantly differ between both groups at 3, 6, and 12 months postoperatively (all p > 0.05).

CONCLUSIONS

UBE has achieved good preliminary clinical results and may be a minimally invasive alternative surgery for patients with single segmental LSS.

SALSA-Net: Explainable Deep Unrolling Networks for Compressed Sensing

Deep unrolling networks (DUNs) have emerged as a promising approach for solving compressed sensing (CS) problems due to their superior explainability, speed, and performance compared to classical deep network models. However, the CS performance in terms of efficiency and accuracy remains a principal challenge for approaching further improvements. In this paper, we propose a novel deep unrolling model, SALSA-Net, to solve the image CS problem. The network architecture of SALSA-Net is inspired by unrolling and truncating the split augmented Lagrangian shrinkage algorithm (SALSA) which is used to solve sparsity-induced CS reconstruction problems. SALSA-Net inherits the interpretability of the SALSA algorithm while incorporating the learning ability and fast reconstruction speed of deep neural networks. By converting the SALSA algorithm into a deep network structure, SALSA-Net consists of a gradient update module, a threshold denoising module, and an auxiliary update module. All parameters, including the shrinkage thresholds and gradient steps, are optimized through end-to-end learning and are subject to forward constraints to ensure faster convergence. Furthermore, we introduce learned sampling to replace traditional sampling methods so that the sampling matrix can better preserve the feature information of the original signal and improve sampling efficiency. Experimental results demonstrate that SALSA-Net achieves significant reconstruction performance compared to state-of-the-art methods while inheriting the advantages of explainable recovery and high speed from the DUNs paradigm.

YAP activation inhibits inflammatory signalling and cartilage breakdown associated with reduced primary cilia expression

OBJECTIVE

To clarify the role of YAP in modulating cartilage inflammation and degradation and the involvement of primary cilia and associated intraflagellar transport (IFT).

METHODS

Isolated primary chondrocytes were cultured on substrates of different stiffness (6-1000 kPa) or treated with YAP agonist lysophosphatidic acid (LPA) or YAP antagonist verteporfin (VP), or genetically modified by YAP siRNA, all ± IL1β. Nitric oxide (NO) and prostaglandin E2 (PGE2) release were measured to monitor IL1β response. YAP activity was quantified by YAP nuclear/cytoplasmic ratio and percentage of YAP-positive cells. Mechanical properties of cartilage explants were tested to confirm cartilage degradation. The involvement of primary cilia and IFT was analysed using IFT88 siRNA and ORPK cells with hypomorphic mutation of IFT88.

RESULTS

Treatment with LPA, or increasing polydimethylsiloxane (PDMS) substrate stiffness, activated YAP nuclear expression and inhibited IL1β-induced release of NO and PGE2, in isolated chondrocytes. Treatment with LPA also inhibited IL1β-mediated inflammatory signalling in cartilage explants and prevented matrix degradation and the loss of cartilage biomechanics. YAP activation reduced expression of primary cilia, knockdown of YAP in the absence of functional cilia/IFT failed to induce an inflammatory response.

CONCLUSIONS

We demonstrate that both pharmaceutical and mechanical activation of YAP blocks pro-inflammatory signalling induced by IL1β and prevents cartilage breakdown and the loss of biomechanical functionality. This is associated with reduced expression of primary cilia revealing a potential anti-inflammatory mechanism with novel therapeutic targets for treatment of osteoarthritis (OA).

[Research advances of stem cell-based tissue engineering repair materials in promoting the healing of chronic refractory wounds on the body surface]

Repairing chronic refractory wounds on the body surface is a complex medical problem involving all stages of wound healing. In recent years, stem cells (SCs) and tissue engineering (TE) have brought hope for repairing chronic refractory wounds. SCs have excellent regenerative and paracrine effects; various TE strategies have the potential to repair chronic refractory wounds on the body surface and also improve the delivery efficiency of SCs. This article reviews the pathological characteristics of chronic refractory wounds, SCs used to repair chronic refractory wounds, and SC-based TE wound repair strategies.

[The relationship between peripheral blood mitochondrial DNA copy number and incident risk of liver cancer: a case-cohort study]

Objective: To investigate the association between peripheral blood mitochondrial DNA copy number (mtDNAcn) and incident risk of liver cancer. Methods: At the baseline of Dongfeng-Tongji (DFTJ) cohort, 27 009 retirees were recruited from Dongfeng Motor Corporation in 2008. After excluding people without baseline DNA, with current malignant tumor and loss of follow-up, 1 173 participants were randomly selected into a sub-cohort by age-and gender-stratified sampling method at a proportion of 5% among all retirees. A total of 154 incident liver cancer cases identified from the cohort before December 31, 2018 (4 cases had been selected into the sub-cohort) were selected to form the case cohort of liver cancer. For the above 1 323 participants, their baseline levels of mtDNAcn in peripheral blood cells were measured by using quantitative real-time PCR method. The restricted cubic spline analysis was used to fit the shape of the association between baseline mtDNAcn and incident risk of liver cancer. The weighted Cox proportional hazards model was used to estimate the hazard ratio (HR) and 95%CI. Results: In this case-cohort study, the median follow-up time was 10.3 years. The restricted cubic spline analysis indicated that the relationship between peripheral blood mtDNAcn and incident risk of liver cancer followed a U-shaped pattern (P_non-linear<0.05). All case-cohort population were divided into four subgroups by sex-specific quartiles of mtDNAcn levels among sub-cohort participants, when compared to participants in the Q₂ subgroup of mtDNAcn, those in the Q₁ subgroup (HR=2.00,95%CI:1.08-3.70) and Q₄ subgroup (HR=4.11,95%CI:2.32-7.26) both had a significantly elevated risk of liver cancer, while those in the Q₃ subgroup (HR=1.05,95%CI:0.54-2.05) had not. There were no significant multiply interaction effects of aging, gender, tobacco smoking, alcohol drinking and history of chronic hepatitis on the above association (P_interaction>0.05). Conclusion: Both extremely low and high baseline level of mtDNAcn in peripheral blood cells are associated with an increased risk of incident liver cancer, but the underlying mechanisms need to be further clarified.

Two-year outcomes of Roux-en-Y gastric bypass vs medical treatment in type 2 diabetes with a body mass index lower than 32.5 kg/m2: a multicenter propensity score-matched analysis

BACKGROUND

Roux-en-Y gastric bypass (RYGB) has been widely reported to be safe and feasible, and has a powerful effect on improving metabolism and weight loss in patients with a high body mass index (BMI). A few studies have focused on the comparison of RYGB with medical treatment in type 2 diabetes (T2D) patients with a lower BMI.

OBJECTIVES

To compare the metabolic effects and safety of RYGB versus medical treatment during a 2 years follow-up in T2D patients with a BMI of 25 to 32.5 kg/m².

METHODS

This retrospective and multicenter cohort study participants were extracted from the T2D patients with a lower BMI (25-32.5 kg/m²) from three bariatric centers between 2009 and 2018. Propensity score matching (PSM) was used to minimize bias, and each patient in the surgical group was matched 1:2 to the patients in the medical group with the closest propensity score. Finally, 71 patients who received RYGB and 142 patients who underwent medical treatment with a 2 years follow-up were enrolled to compare the effects of RYGB and medical treatment. The primary endpoint was achievement of the triple endpoint (the simultaneous achievement of hemoglobin A1c (HbA1c) < 7.0%, fasting low-density lipoprotein cholesterol (LDL-C) < 100 mg/dL (2.6 mmol/L), and systolic blood pressure (SBP) < 130 mmHg at the year-1 visit). Changes in weight, BMI, medication usage, complications, and adverse events were assessed.

RESULTS

In total, 213 patients (mean age of 47.4 ± 9.5 years, 70.4% male, mean BMI of 28.6 ± 2.2 kg/m²) were included in this study. At the end of the first year, 17 patients (23.9%) in the surgical group and 10 (7.0%) in the medical group had achieved the composite triple endpoint (OR 4.64; 95% CI 1.82-11.81; p = 0.001). Additionally, 43 patients (60.6%) in the surgical group and 11 patients (19.7%) in the medical group experienced remission of T2D. However, more complications were observed in the surgical group (36 vs. 22, p < 0.01).

CONCLUSIONS

Among T2D patients with a BMI between 25.0 and 32.5 kg/m², RYGB was more effective than medical treatment in resolving metabolic disorders and also resulted in more complications. The risk for complications should be considered in the clinical decision-making process for T2D patients with a low BMI.

111 Adipose Tissue-Derived Mesenchymal Stem Cells as a Potential Restorative Treatment for Cartilage Defects: A PRISMA Review and Meta-Analysis

Aim

Joint damage through trauma or degeneration causes cartilage defects, leading to osteoarthritis (OA). Current therapies relieve symptoms or replaces damaged joint, which is costly and fraught with complications. Mesenchymal stem cells (MSCs) have immunomodulatory properties and low immunogenicity, making them a novel avenue for research for OA treatment. This systematic review investigates whether adipose derived MSC (AMSCs) can treat cartilage defects.

Method

A systematic search was performed on MEDLINE, EMBASE, Cochrane Library, Scopus, Web of Science. Clinical, imaging, functional outcomes were extracted from nineteen included studies. Inclusion criteria was studies conducted on human populations that compared effects of AMSCs on cartilage regeneration to non-exposed controls. Studies conducted on animals, ex vivo studies, in vitro studies were excluded.

Results

Nine studies reported improved Visual Analogue Scale (VAS) scores (mean difference -3.30; 95% CI:-3.72,-2.89; p&lt;0.001). Eight studies reported improved Knee injury and Osteoarthritis Outcome Score (KOOS) in five subscales. Pooled analysis of Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) scores in seven studies revealed an improvement (mean difference -25.52; 95% CI:-30.93,-20.10; p&lt;0.001). Cartilage regeneration was assessed using Magnetic Resonance Observation of Cartilage Repair Tissue (MOCART) score. All studies reported improved regeneration, with a pooled end-point score of 68.12 (95% CI:62.18–74.05; p&lt;0.001).

Conclusions

AMSCs are effective therapeutic agents for cartilage defects. We recommend researchers to determine roles of biochemical components that facilitate AMSC-mediated cartilage repair. Establishing the most efficient methods for MSC extraction, culture, delivery, and performing studies with long follow-up times enable future research to provide evidence needed to bring AMSC-based therapies into the market.

Techniques to aid prediction of pacing dependence at 30 days in patients requiring pacemaker implantation after cardiac surgery

Permanent pacemaker (PPM) implantation occurs in up to 5 % of patients after cardiac surgery but there is little consensus on how long to wait between surgery and PPM insertion. Predicting the likelihood of a patient being pacing dependent 30 days after implant can aid with this timing decision and avoid unnecessary observation time waiting for intrinsic conduction to recover. In this paper, we introduce a new approach for the prediction of PPM dependency at 30 days after implant in patients who have undergone recent cardiac surgery. The aim is to create an automatic detection model able to support clinicians in the decision-making process. We first applied Synthetic Minority Oversampling Technique (SMOTE) and Bayesian Networks (BN) to the dataset, to balance the inherently imbalanced data and create additional synthetic data respectively. The six resultant datasets were then used to train four different classifiers to predict pacing dependence at 30 days, all using the same testing set. The Bagged Trees classifier achieved the best results, reaching an area under the receiver operating curve (AUC) of 90 % in the train phase, and 83 % in the test phase. The overall classification performance was clearly enhanced when using SMOTE and synthetic data created with BN to create a combined and balanced dataset. This technique could be of great use in answering clinical questions where the original dataset is imbalanced.

POS0625 VASCULAR EFFECT OF INFLAMMATORY BURDEN IN EARLY RHEUMATOID ARTHRITIS PATIENTS - A 5-YEAR PROSPECTIVE STUDY

Background

Rheumatoid arthritis (RA) and psoriatic arthritis (PsA) are associated with accelerated atherosclerosis driven by chronic Inflammation. We have previously reported that cumulative inflammatory burden, as reflected by cumulative averages of repeated measures of erythrocyte sedimentation rate (ca-ESR), was associated with increased arterial stiffness in PsA patients (1).

Objectives

To ascertain whether inflammatory burden over time is associated with long-term vascular outcome in early RA (ERA) patients.

Methods

In this 5-year prospective study, consecutive ERA patients without overt cardiovascular disease were recruited. All patients received tight-control treatment in the first year followed by stand-of-care management subsequently. Subclinical atherosclerosis and arterial stiffness progression were assessed using high-resolution carotid ultrasound (US) and brachial-ankle pulse wave velocity (PWV) respectively at baseline, year 1 and year 5. The primary outcome was subclinical atherosclerosis progression (AP+), defined as incident plaque in a segment without plaque before, or an increased number of plaques in a segment, and/or maximum carotid intima-media thickness (max cIMT) over 0.9 mm at year 5. Secondary outcome was the change in PWV over a period of 5 years. ESR level was measured during each clinic visit. Inflammatory burden was measured by cumulative averages of the area under the curve for erythrocyte sedimentation rate (ESR) over a period of 5 years.

Results

One-hundred and four ERA patients (age: 52±11 years, 81(78%) female) who completed 5 years of follow-up were included in this analysis. Significant improvement in disease activity was observed (DAS-ESR at baseline: 5.8±0.9 vs 3.2±1.2 at year 5, p<0.001). Forty-two patients (40.4%) had AP+. The AP+ group had higher ca-ESR (37.6±16.4 vs 32.0±17.1, p=0.106) and baseline Framingham risk score (FRS) (13.3±12.5 vs 5.5±6.6, p<0.001). Multivariate logistic regression analysis revealed that a higher ca-ESR was associated with AP+ (OR=1.03, 95%CI: 1.00-1.06, p=0.038) after adjustment for baseline high risk Framingham risk score (FRS≥20%) and baseline triglycerides level (Table 1). Similarly, PWV increased from 1461±285cm/s to 1559±309cm/s (p<0.001) after 5 years. Higher ca-ESR correlated with PWV progression (r=-0.211, p=0.032). Using multivariate logistic regression analysis, ca-ESR was associated with arterial stiffness progression ((β=2.94, 95%CI: 0.80 to 5.08, p=0.007) after adjusting for symptom duration, presence of rheumatoid factor and FRS.

Table 1.

Univariable analysis on baseline clinical characters and progression of subclinical atherosclerosis parameters

AP+ba PWV changeUnivariate modelMultivariate modelUnivariate modelMultivariate modelORp ValueORp Valueβp Valueβp Value95% CI95% CI95% CI95% CISymptom duration0.990.7045.620.089*0.92-1.06-0.88-12.131RF positive0.990.69284.040.068*84.250.0490.92-1.06-6.48-174.550.38-168.12Baseline Triglycerides3.190.009*3.480.008*-39.050.2661.34-7.611.38-8.76-108.25-30.14FRS, 20%5.970.031*5.650.500-164.110.013*-149.480.017*1.17-30.391.00-31.80-292.67- -35.55-1.25-10.87ca-ESR1.020.1061.030.038*3.120.005*2.780.008*1.00-1.041.00-1.060.97-5.270.73-4.82

*Statistically significant at p < 0.05.

RF positive: Rheumatoid factor positive, FRS, 20%: Framingham risk score ≥20%, caESR: cumulative average-Erythrocyte sedimentation rate.

Conclusion

Persistent inflammation was an independent predictor of subclinical atherosclerosis and arterial stiffness progression in ERA. Effective long-term suppression of inflammation is required to minimize cardiovascular risk.

References

[1]Shen J, Shang Q, Li EK, Leung Y-Y, Kun EW, Kwok L-W, et al. Cumulative inflammatory burden is independently associated with increased arterial stiffness in patients with psoriatic arthritis: a prospective study. Arthritis research & therapy. 2015;17(1):75.

Acknowledgements

I have no acknowledgments to declare.

Disclosure of Interests

None declared

POS0323 RISK FACTORS FOR MAJOR CARDIOVASCULAR EVENTS (MACE) IN INFLAMMATORY ARTHRITIS: A TIME-DEPENDENT ANALYSIS ON INFLAMMATORY BURDEN, USE OF NSAIDs, STEROID AND DMARDs

Background

Inflammatory arthritis (IA) including rheumatoid arthritis (RA), psoriatic arthritis (PsA) and ankylosing spondylarthritis (AS) are associated with accelerated atherosclerosis due to systematic inflammation.

Objectives

To elucidate whether inflammatory burden (c-reactive protein [CRP] and erythrocyte sedimentation rate [ESR] levels) and drugs used to suppress inflammation (disease modifying anti-rheumatic drugs [DMARDs] and non-steroidal anti-inflammatory drugs [NSAIDs]) over time are independently associated with major cardiovascular events (MACE) in patients with IA.

Methods

A population-based cohort of IA patients were identified in the citywide Clinical Data Analysis and Reporting System (CDARS) of the Hong Kong Hospital Authority. IA patients recruited from 2006 to 2016 were followed until the end of 2018. The outcome was occurrence of a first MACE, defined as unstable angina, acute myocardial infarction, stroke/transient ischemic attack or death from cardiovascular causes. Cox proportional hazard models with time-varying CRP and ESR levels and drugs used were analyzed to identify the risk of having MACE in IA patients.

Results

A total of 17,732 (12050 RA patients, 1789 PsA patients and 3893 AS patients) patients with IA were recruited. After a mean follow-up of 8.7 ± 3.1 years, 1,069 (6.0 %) patients developed a first MACE. At baseline, the MACE group were older (68±12 vs 53±15, p<0.001), had more traditional cardiovascular risk factors, higher levels of CRP (2.7±1.5 vs 1.7±1.3, p<0.001) and ESR (57.8±32.4 vs 42.5±29.2, p<0.001), and less exposure to biologic DMARDs (bDMARDs) (1.0% vs 3.0%, p<0.001) and non-selective NSAIDs (nsNSAIDs) (63.4% vs 71.1%, p<0.001). After adjusting for age, sex, baseline cardiovascular comorbidities using multivariable Cox regression analysis, IA patients with higher inflammatory burden (as reflected by the time-varying CRP [hazard ratio {HR} 1.11, 95% confidence interval {CI} 1.10-1.12, p<0.001] and ESR levels (HR 1.02, 95% CI 1.01-1.01, p<0.001) and the use of steroid (HR 1.79-1.88) were independently associated with a higher risk of developing MACE (Table 1). In contrast, exposure to nsNSAIDs had a protective effect against MACE (HR 0.76, 95% CI 0.66-0.89, p<0.001), while bDMARDs were not associated with MACE.

Table 1.

Multivariable time-varying Cox regression models for the predictors of incidence of MACE in the IA patients (n=17732)

Model 1 †Model 2 ‡VariablesHR (95% CI)p valueHR (95% CI)p valueMale1.92 (1.65-2.23)<0.001*1.52 (1.33-1.76)<0.001*Age1.06 (1.05-1.06)<0.001*1.06 (1.05-1.06)<0.001*Disease duration1.04 (0.97-1.08)0.0561.04 (1.01-1.08)0.016*Baseline DM1.25 (0.95-1.64)0.1081.44 (1.13-1.84)0.003*Baseline HT1.77 (1.52-2.08)<0.001*1.85 (1.59-2.16)<0.001*Baseline LP1.14 (0.92-1.41)0.2321.19 (0.98-1.46)0.081Time-varying inflammatory markersESR1.02 (1.01-1.01)<0.001*CRP1.11 (1.10-1.12)<0.001*Time-varying treatmentbDMARDs0.93 (0.68-1.27)0.6570.89 (0.65-1.22)0.478CoxII0.71 (0.53-0.96)0.027*0.79 (0.59-1.04)0.104nsNSAIDs0.76 (0.66-0.89)<0.001*0.76 (0.66-0.88)<0.001*Steroids1.88 (1.63-2.17)<0.001*1.79(1.56-2.04)<0.001*

*Statistically significant at p < 0.05.

† and ‡ Adjusted for Age, Sex, Hypertension at baseline, diabetes mellitus at baseline, dyslipidemia at baseline, bDMARDs, CoxII, non-selective NSAIDs, Steroids.

CRP, C-reactive protein; ESR: Erythrocyte sedimentation rate; HT: hypertension; DM: diabetes mellitus; LP: Dyslipidemia; bDMARD, biological disease-modifying anti-rheumatic drug; COXII: cyclooxygenase -2 inhibitors; nsNSAIDs: non-selective nonsteroidal anti-inflammatory drugs.

Conclusion

Increased inflammatory burden as reflected by elevated ESR and CRP level over time, and increased exposure to steroid were independently associated with increased risk of MACE, while the risk was significantly reduced with non-selective NSAIDs use in IA patients.

Disclosure of Interests

None declared

Prediction of Communication Effectiveness During Media Skills Training Using Commercial Automatic Non-verbal Recognition Systems

It is well recognised that social signals play an important role in communication effectiveness. Observation of videos to understand non-verbal behaviour is time-consuming and limits the potential to incorporate detailed and accurate feedback of this behaviour in practical applications such as communication skills training or performance evaluation. The aim of the current research is twofold: (1) to investigate whether off-the-shelf emotion recognition technology can detect social signals in media interviews and (2) to identify which combinations of social signals are most promising for evaluating trainees' performance in a media interview. To investigate this, non-verbal signals were automatically recognised from practice on-camera media interviews conducted within a media training setting with a sample size of 34. Automated non-verbal signal detection consists of multimodal features including facial expression, hand gestures, vocal behaviour and 'honest' signals. The on-camera interviews were categorised into effective and poor communication exemplars based on communication skills ratings provided by trainers and neutral observers which served as a ground truth. A correlation-based feature selection method was used to select signals associated with performance. To assess the accuracy of the selected features, a number of machine learning classification techniques were used. Naive Bayes analysis produced the best results with an F-measure of 0.76 and prediction accuracy of 78%. Results revealed that a combination of body movements, hand movements and facial expression are relevant for establishing communication effectiveness in the context of media interviews. The results of the current study have implications for the automatic evaluation of media interviews with a number of potential application areas including enhancing communication training including current media skills training.

Prospective evaluation of first-trimester screening strategy for preterm pre-eclampsia and its clinical applicability in China

OBJECTIVES

To evaluate, in a Chinese population, the performance of a screening strategy for preterm pre-eclampsia (PE) using The Fetal Medicine Foundation (FMF)'s competing-risks model and to explore its clinical applicability in mainland China.

METHODS

This was a prospective, multicenter, observational cohort study including 10 899 women with singleton pregnancy who sought prenatal care at one of 13 hospitals, located in seven cities in mainland China, between 1 December 2017 and 30 December 2019. Mean arterial pressure (MAP), uterine artery pulsatility index (UtA-PI) and maternal serum levels of placental growth factor (PlGF) and pregnancy-associated plasma protein-A (PAPP-A) at 11 + 0 to 13 + 6 weeks' gestation were measured and converted into multiples of the median using Chinese reference ranges. Individualized risk for preterm PE was calculated using the FMF algorithm. Prior risk was calculated based on maternal demographic characteristics and obstetric history. We evaluated the efficiency of the screening strategy using various combinations of biomarkers and analyzed its predictive performance for a composite of placenta-associated adverse pregnancy outcomes, including PE, placental abruption, small-for-gestational age (SGA) and preterm birth, at fixed false-positive rates for preterm PE.

RESULTS

We identified 312 pregnancies that developed PE, of which 117 cases were diagnosed as preterm PE (< 37 weeks' gestation). There were 386 pregnancies complicated by severe composite placenta-associated adverse outcome, including preterm PE, 146 cases of severe SGA (birth weight < 3^rd percentile) neonate, 61 cases with placental abruption and 109 cases of early preterm birth < 34 gestational weeks. The triple-marker model containing biomarkers MAP, UtA-PI and PAPP-A achieved, at fixed false-positive rates of 10%, 15% and 20%, detection rates for preterm PE of 65.0%, 72.7% and 76.1%, respectively, and detection rates for severe composite placenta-associated adverse outcome of 34.7%, 41.7% and 46.4%, respectively. Replacing PAPP-A with PlGF or adding PlGF to the model did not improve the performance. Of women screening positive for preterm PE at a fixed 5% false-positive rate, an estimated 30% developed at least one placenta-associated adverse pregnancy outcome, including PE, placental abruption, SGA (birth weight < 10^th percentile) and preterm birth < 37 weeks.

CONCLUSIONS

The FMF competing-risks model for preterm PE was found to be effective in screening a mainland Chinese population. Women who screened positive for preterm PE had increased risk for other placenta-associated pregnancy complications. © 2021 International Society of Ultrasound in Obstetrics and Gynecology.

Effect of low temperature and high humidity stress on physiology of cucumber at different leaf stages

Low temperature (LT) and high humidity (HH) are important environmental factors in greenhouses and plastic tunnels during the cold season, as they hamper plant growth and development. Here, we studied the effect of LT (day/night: 9/5 °C, 25/18 °C as control) and HH (95%, 80% as control) on young cucumber plants at the 2, 4 or 6 leaf stages. LT+HH stress resulted in a decline in shoot, root and total fresh and dry weights, and decreased P_n , g_s , T_r , F_v /F_m , qP, ETR and chlorophyll, and increased MDA, H₂ O₂ , O₂ ^- , NPQ and C_i as compared to the control at the 2 leaf stage. SOD, POD, CAT, APX and GR were upregulated under LT+HH stress as compared to the control at the 6 leaf stage. ABA and JA increased under LT+HH stress as compared to the control at the 6 leaf stage, while IAA and GA decreased under LT+HH stress as compared to the control at the 2 leaf stage. Our results show that LT+HH stress affects young cucumber plant photosynthetic efficiency, PSII activity, antioxidant defence system, ROS and hormone profile. Plants at the 6 leaf stage were more tolerant than at the 2 and 4 leaf stages under stress conditions.

Cellular viability and death biomarkers enables the evaluation of ocular irritation using the bovine corneal opacity and permeability assay

The BCOP assay is used in the identification of chemicals that cause no ocular irritation or serious damage. However, this method has not been found to adequately discriminate between mild from moderate ocular irritation (category 2A/2B), based upon the animal data. In this study, we aimed to establish methods for discerning ocular irritation by chemicals. We used the BCOP assay and the fluorescence staining methods based on biomarkers for cellular viability and death. The potential for ocular irritation by 12 chemicals from different UN GHS categories was assessed by the BCOP assay. Cryosections of bovine corneas were obtained. The necrotic nucleus was TUNEL labeled, cytoplasmic f-actin was stained by phalloidin while the nucleus was stained by DAPI. The depth of injury (DOI) was then measured. According to BCOP assay, in vivo data of Draize eye test and DOI, the results showed that category NC irritants caused ≤ 10 % epithelial DOI, irritants of category 2B caused >10 % epithelial DOI and showed no stromal damage, while category 2A showed damage to the stroma. Based on these results, the GHS prediction model could distinguish between GHS 2A and 2B. Authenticating the viability of BCOP by DOI measurements can provide a more reliable basis for classifying ocular irritants.

Activation of TRPV4 by mechanical, osmotic or pharmaceutical stimulation is anti-inflammatory blocking IL-1β mediated articular cartilage matrix destruction

OBJECTIVE

Cartilage health is maintained in response to a range of mechanical stimuli including compressive, shear and tensile strains and associated alterations in osmolality. The osmotic-sensitive ion channel Transient Receptor Potential Vanilloid 4 (TRPV4) is required for mechanotransduction. Mechanical stimuli inhibit interleukin-1β (IL-1β) mediated inflammatory signalling, however the mechanism is unclear. This study aims to clarify the role of TRPV4 in this response.

DESIGN

TRPV4 activity was modulated glycogen synthase kinase (GSK205 antagonist or GSK1016790 A (GSK101) agonist) in articular chondrocytes and cartilage explants in the presence or absence of IL-1β, mechanical (10% cyclic tensile strain (CTS), 0.33 Hz, 24hrs) or osmotic loading (200mOsm, 24hrs). Nitric oxide (NO), prostaglandin E₂ (PGE₂) and sulphated glycosaminoglycan (sGAG) release and cartilage biomechanics were analysed. Alterations in post-translational tubulin modifications and primary cilia length regulation were examined.

RESULTS

In isolated chondrocytes, mechanical loading inhibited IL-1β mediated NO and PGE₂ release. This response was inhibited by GSK205. Similarly, osmotic loading was anti-inflammatory in cells and explants, this response was abrogated by TRPV4 inhibition. In explants, GSK101 inhibited IL-1β mediated NO release and prevented cartilage degradation and loss of mechanical properties. Upon activation, TRPV4 cilia localisation was increased resulting in histone deacetylase 6 (HDAC6)-dependent modulation of soluble tubulin and altered cilia length regulation.

CONCLUSION

Mechanical, osmotic or pharmaceutical activation of TRPV4 regulates HDAC6-dependent modulation of ciliary tubulin and is anti-inflammatory. This study reveals for the first time, the potential of TRPV4 manipulation as a novel therapeutic mechanism to supress pro-inflammatory signalling and cartilage degradation.

Copy number variation in HOXB7 and HOXB8 involves in the formation of beard trait in chickens

The derived feathering phenotype beard in domestic birds is an ideal resource to investigate the genetic mechanisms controlling feather development and differentiation. In the present study, we performed a GWAS and QTL linkage analysis on the trait of beard in Beijing fatty chicken. One major QTL (1.2-1.9 Mb) was identified that could explain 34% of the phenotypic variation. The copy number variation that was copied from the region (GGA27:3 578 409-3 592 890 bp) containing homebox B7 (HOXB7) and homebox B8 (HOXB8) was validated to be only exhibited in the genome of bearded chickens. Protein-protein interaction analysis indicated that HOXB7 and HOXB8 proteins could highly interact with the HOXB family members, including HOXB4, HOXB5 and HOXB6, whose genomic locations near HOXB7 and HOXB8 suggested that they may regulate their family members to involve in the formation of the beard trait in chickens. Overall, our work provides basic data for understanding the mechanisms regulating beard development and differentiation.

MiRNA-93-5p promotes the biological progression of gastric cancer cells via Hippo signaling pathway

OBJECTIVE

To clarify the influence of microRNA-93-5p (miRNA-93-5p) on biological behaviors of gastric cancer (GC) cells and its regulatory effect on Hippo pathway.

MATERIALS AND METHODS

SGC-7901 and HGC-27 cells were used for establishing miRNA-93-5p overexpression and downregulation model through transfection of miRNA-93-5p mimics or inhibitor, respectively. Relative levels of genes in Hippo pathway were determined in GC cells transfected with miRNA-93-5p mimics or inhibitor by quantitative Real-time polymerase chain reaction (qRT-PCR). Regulatory effects of miRNA-93-5p on proliferative, migratory and invasive abilities of GC cells were evaluated by cell counting kit-8 (CCK-8), colony formation and transwell assay, respectively.

RESULTS

MiRNA-93-5p was markedly upregulated by transfection of miRNA-93-5p mimics into SGC-7901 cells, which was downregulated by transfection of miRNA-93-5p inhibitor into HGC-27 cells. Overexpression of miRNA-93-5p accelerated GC cells to proliferate, migrate and invade. Meanwhile, miRNA-93-5p overexpression in GC cells upregulated downstream genes in Hippo pathway, including CDX2, FOXM1 and CTGF.

CONCLUSIONS

MiRNA-93-5p enhances proliferative, migratory and invasive abilities of GC cells by activating Hippo pathway, which may serve as a diagnostic and therapeutic target for GC.

Humidity sensor based on a graphene oxide-coated few-mode fiber Mach-Zehnder interferometer

A relative humidity sensor based on a graphene oxide-coated few-mode fiber Mach-Zehnder interferometer (MZI) is proposed in this paper. The MZI was made by splicing a segment of the few-mode fiber (FMF) between two segments of a no-core fiber (NCF) and two segments of a single mode fiber (SMF) located outside the two NCFs. The core and cladding of the FMF acted as interferometric arms, while the NCFs acted as couplers for splitting and recombining light due to mismatch of mode field diameter. The cladding of the FMF was corroded with hydrofluoric acid, and a layer of graphene oxide (GO) film was coated on the corroded cladding of FMF via the natural deposition method. The refractive index of GO varied upon absorption the water molecules. As a result, the phase difference of the MZI varied and the wavelength of the resonant dip shifted with a change in the ambient relative humidity (RH). High humidity sensitivity of 0.191 and 0.061 nm/%RH in the RH range of 30-55% and 55-95%, respectively, were achieved experimentally. The high sensitivity, compact size, and simple manufacturing of the proposed sensor could offer attractive applications in fields of chemical sensors and biochemical detection.

0341 Preliminary Effects of a Music Intervention on Actigraphy-Measured Sleep Among Older Adults with Dementia

Introduction

Music may benefit sleep and daytime alertness by decreasing stress, increasing attention, and potentially, slowing the progression of dementia. This study examined preliminary effects of a group-based music intervention on sleep health among older adults with dementia.

Methods

Participants were older adults with dementia living in an assisted living facility (n=9; Mage=80.11; Mrange=63−89 years). Cohort 1 (n=4) received the intervention in the morning and cohort 2 (n=5) received the intervention in the afternoon. Participants completed a 4-week intervention protocol (12 sessions) along with a one-week actigraphy sleep assessment before and after the intervention. Informed by sleep literature, we constructed a composite sleep health score encompassing Regularity, Satisfaction or quality, Alertness, Timing, Efficiency, and Duration (higher scores indicating more daily sleep problems). Using descriptive statistics and multilevel modeling, we evaluated preliminary effects of the intervention on overall sleep health and each of the sleep dimensions.

Results

Six out of nine participants exhibited a decrease in overall sleep problems at post-intervention. All 4 participants in cohort 1 showed improvement in overall sleep health at post-intervention. Specifically, in cohort 1, participants exhibited a decline in nightly sleep problems, decreased daytime nap duration, and number of naps. In contrast, while two out of five participants in cohort 2 exhibited improvement in overall sleep health, the remainder of the participants exhibited no improvement in daily sleep problems, especially in nap domains. Across cohorts, those younger in age, with vascular dementia, lower weight, and not taking sleep or hypertension related medications tended to respond better to the intervention.

Conclusion

Our preliminary results demonstrate the feasibility and potential benefit of a group-based music intervention in improving overall sleep health among older patients with dementia. Implications for conducting community-based non-pharmacological interventions to improve sleep and daytime functioning among older adults with dementia will be discussed.

Support

This work was supported, in part, by the Florida Department of Health Ed and Ethel Moore Alzheimer’s Disease Research Award (PI: Meng, Grant #9AZ28).

Research Progress on Age Estimation Based on DNA Methylation

Abstract

Age estimation is of great significance in the fields of criminal investigation and forensic identification. It can provide the age information of individuals to judicial departments to facilitate the development of judicial work. In recent years, age estimation methods expanded from the morphological level to the molecular biology level. With the rapid development of epigenetics represented by DNA methylation, and the advancement of DNA methylation detection technology together with the detection platform, many age estimation methods based on DNA methylation biomarkers, or using several biological fluids, such as blood, blood stains, saliva, semen stains, etc. are developed. Currently, researches related to age estimation based on DNA methylation are relatively widely carried out. This paper summarizes the researches on age estimation based on DNA methylation, in order to provide references for related studies and forensic applications.

Adaptive Morphological Reconstruction for Seeded Image Segmentation

Morphological reconstruction (MR) is often employed by seeded image segmentation algorithms such as watershed transform and power watershed, as it is able to filter out seeds (regional minima) to reduce over-segmentation. However, the MR might mistakenly filter meaningful seeds that are required for generating accurate segmentation and it is also sensitive to the scale because a single-scale structuring element is employed. In this paper, a novel adaptive morphological reconstruction (AMR) operation is proposed that has three advantages. First, AMR can adaptively filter out useless seeds while preserving meaningful ones. Second, AMR is insensitive to the scale of structuring elements because multiscale structuring elements are employed. Finally, the AMR has two attractive properties: monotonic increasingness and convergence that help seeded segmentation algorithms to achieve a hierarchical segmentation. Experiments clearly demonstrate that the AMR is useful for improving performance of algorithms of seeded image segmentation and seed-based spectral segmentation. Compared to several state-of-the-art algorithms, the proposed algorithms provide better segmentation results requiring less computing time.

Novel Models for Identification of the Ruptured Aneurysm in Patients with Subarachnoid Hemorrhage with Multiple Aneurysms

BACKGROUND AND PURPOSE

In patients with SAH with multiple intracranial aneurysms, often the hemorrhage pattern does not indicate the rupture source. Angiographic findings (intracranial aneurysm size and shape) could help but may not be reliable. Our purpose was to test whether existing parameters could identify the ruptured intracranial aneurysm in patients with multiple intracranial aneurysms and whether composite predictive models could improve the identification.

MATERIALS AND METHODS

We retrospectively collected angiographic and medical records of 93 patients with SAH with at least 2 intracranial aneurysms (total of 206 saccular intracranial aneurysms, 93 ruptured), in which the ruptured intracranial aneurysm was confirmed through surgery or definitive hemorrhage patterns. We calculated 13 morphologic and 10 hemodynamic parameters along with location and type (sidewall/bifurcation) and tested their ability to identify rupture in the 93 patients. To build predictive models, we randomly assigned 70 patients to training and 23 to holdout testing cohorts. Using a linear regression model with a customized cost function and 10-fold cross-validation, we trained 2 rupture identification models: RIM_C using all parameters and RIM_M excluding hemodynamics.

RESULTS

The 25 study parameters had vastly different positive predictive values (31%-87%) for identifying rupture, the highest being size ratio at 87%. RIM_C incorporated size ratio, undulation index, relative residence time, and type; RIM_M had only size ratio, undulation index, and type. During cross-validation, positive predictive values for size ratio, RIM_M, and RIM_C were 86% ± 4%, 90% ± 4%, and 93% ± 4%, respectively. In testing, size ratio and RIM_M had positive predictive values of 85%, while RIM_C had 92%.

CONCLUSIONS

Size ratio was the best individual factor for identifying the ruptured aneurysm; however, RIM_C, followed by RIM_M, outperformed existing parameters.

Three-dimensional resonating metamaterials for low-frequency vibration attenuation

Recent advances in additive manufacturing have enabled fabrication of phononic crystals and metamaterials which exhibit spectral gaps, or stopbands, in which the propagation of elastic waves is prohibited by Bragg scattering or local resonance effects. Due to the high level of design freedom available to additive manufacturing, the propagation properties of the elastic waves in metamaterials are tunable through design of the periodic cell. In this paper, we outline a new design approach for metamaterials incorporating internal resonators, and provide numerical and experimental evidence that the stopband exists over the irreducible Brillouin zone of the unit cell of the metamaterial (i.e. is a three-dimensional stopband). The targeted stopband covers a much lower frequency range than what can be realised through Bragg scattering alone. Metamaterials have the ability to provide (a) lower frequency stopbands than Bragg-type phononic crystals within the same design volume, and/or (b) comparable stopband frequencies with reduced unit cell dimensions. We also demonstrate that the stopband frequency range of the metamaterial can be tuned through modification of the metamaterial design. Applications for such metamaterials include aerospace and transport components, as well as precision engineering components such as vibration-suppressing platforms, supports for rotary components, machine tool mounts and metrology frames.

Genome-wide association study identified genes in the response to Salmonella pullorum infection in chickens

Pullorum is a bacterial disease that threatens the modern poultry industry. Over the years, research on this topic has focused mainly on its epidemiology, whereas the hosts' genetic basis of infection is still vague. In order to identify chickens' genes associated with pullorum, we sequenced 300 New Pudong chicken by double digest genotyping-by-sequencing. We obtained 1 527 953 SNPs for a genome-wide association analysis, which identified 43 genome-wide significant markers. Most of the significant SNPs were in the interval of 57.7-59.0 Mb on chromosome 5. The gene set enrichment analysis suggests a potential manner for bacterial infection and remaining inside the host. This work provides basic data for the purification, prevention and treatment of pullorum disease.

Neural stem cells promote glioblastoma formation in nude mice

PURPOSE

Neural stem cells (NSCs) have been characterized with the ability of self-renewal and neurogenesis, which has inspired lots of studies to clarify the functions of NSCs in neural injury, ischemic stroke, brain inflammation and neurodegenerative diseases. We focused on the relationship of NSCs with glioblastoma, since we have discovered that recurrent glioblastomas were inclined to be derived from subventricular zone (SVZ), where NSCs reside. We want to clarify whether NSCs are involved in glioblastoma relapse.

METHODS

Immunocytochemistry was used to confirm the stemness of NSCs. The Cell Counting Kit-8 was used to measure the proliferation of cells. Migration abilities were examined by wound healing and transwell assays, and tumor formation abilities were confirmed in nude mice.

RESULTS

We found in experiments that NSCs promoted proliferation of a glioblastoma cell line-Ln229, the migration ability of Ln229 cells was motivated by co-cultured with NSCs. Tumor formation of Ln229 cells was also accelerated in nude mice when co-transplanted with NSCs. In immunohistochemistry, we found that the Sox2- and Ki67-positive cells were much higher in co-transplanted groups than that of control groups.

CONCLUSIONS

These results imply the potential role that NSCs play in speeding up tumor formation in the process of glioblastoma relapse, providing the basis for dealing with newly diagnosed glioblastoma patients, which may help postpone the recurrence of glioblastoma as far as possible through preprocessing the tumor-adjacent SVZ tissue.