Glibenclamide Directly Prevents Neuroinflammation by Targeting SUR1-TRPM4-Mediated NLRP3 Inflammasome Activation In Microglia

Glibenclamide (GLB) reduces brain edema and improves neurological outcome in animal experiments and preliminary clinical studies. Recent studies also suggested a strong anti-inflammatory effect of GLB, via inhibiting nucleotide-binding oligomerization domain-like receptor containing pyrin domain 3 (NLRP3) inflammasome activation. However, it remains unknown whether the anti-inflammatory effect of GLB is independent of its role in preventing brain edema, and how GLB inhibits the NLRP3 inflammasome is not fully understood. Sprague-Dawley male rats underwent 10-min asphyxial cardiac arrest and cardiopulmonary resuscitation or sham-operation. The Trpm4 siRNA and GLB were injected to block sulfonylurea receptor 1-transient receptor potential M4 (SUR1-TRPM4) channel in rats. Western blotting, quantitative real-time polymerase chain reaction, behavioral analysis, and histological examination were used to evaluate the role of GLB in preventing NLRP3-mediated neuroinflammation through inhibiting SUR1-TRPM4, and corresponding neuroprotective effect. To further explore the underlying mechanism, BV2 cells were subjected to lipopolysaccharides, or oxygen-glucose deprivation/reperfusion. Here, in rat model of cardiac arrest with brain edema combined with neuroinflammation, GLB significantly alleviated neurocognitive deficit and neuropathological damage, via the inhibition of microglial NLRP3 inflammasome activation by blocking SUR1-TRPM4. Of note, the above effects of GLB could be achieved by knockdown of Trpm4. In vitro under circumstance of eliminating distractions from brain edema, SUR1-TRPM4 and NLRP3 inflammasome were also activated in BV2 cells subjected to lipopolysaccharides, or oxygen-glucose deprivation/reperfusion, which could be blocked by GLB or 9-phenanthrol, a TRPM4 inhibitor. Importantly, activation of SUR1-TRPM4 in BV2 cells required the P2X7 receptor-mediated Ca2+ influx, which in turn magnified the K+ efflux via the Na+ influx-driven opening of K+ channels, leading to the NLRP3 inflammasome activation. These findings suggest that GLB has a direct anti-inflammatory neuroprotective effect independent of its role in preventing brain edema, through inhibition of SUR1-TRPM4 which amplifies K+ efflux and promotes NLRP3 inflammasome activation.

The Effect of Iodine-125 Radioactive Particle Stent with Doxorubicin-loaded Nano-tetrahedrons Combined with Transarterial Chemoembolization on Survival and Prognosis of Patients with Cholangiocarcinoma

This study was to analyze the application of doxorubicin-loaded DNA nano-tetrahedral Iodine-125 (I-125) radioactive particle stent (doxorubicin-loaded 125I stent) combined with transarterial chemoembolization (TACE) in improving the prognosis of patients with cholangiocarcinoma (CC). The doxorubicin-loaded DNA nano-tetrahedrons were constructed, the preparation plan was optimized, and the toxicity test was performed. The prepared doxorubicin-loaded DNA nano-tetrahedrons were applied to 85 cases in the K1 group (doxorubicin-loaded 125I + TACE), 85 cases in the K2 group (doxorubicin-loaded 125I), and 85 cases in K3 group (TACE). It was found that the optimal initial concentration of doxorubicin for the preparation of DNA-loaded nano-tetrahedrons was 200 mmol, and the optimal reaction time was 7 hours. The serum total bilirubin (TBIL) level in the K1 group at 30 days after operation was lower than that in the K2 and K3 groups at 7, 14 and 21 days. (P< 0.05). The alkaline phosphatase (ALP) level in the K1 group was lower in contrast to that in the other two groups at 7, 14, and 21 days after surgery (P< 0.05); and the five-year survival rate of patients in the K1 group was greater in contrast to the rate in K2 and K3 groups (P< 0.05). In short, the implantation of a doxorubicin-loaded 125I stent combined with TACE could effectively improve the five-year survival rate of patients with CC and improve the prognosis effect of the patients.

DGIG-Net: Dynamic Graph-in-Graph Networks for Few-Shot Human-Object Interaction

Few-shot learning (FSL) for human-object interaction (HOI) aims at recognizing various relationships between human actions and surrounding objects only from a few samples. It is a challenging vision task, in which the diversity and interactivity of human actions result in great difficulty to learn an adaptive classifier to catch ambiguous interclass information. Therefore, traditional FSL methods usually perform unsatisfactorily in complex HOI scenes. To this end, we propose dynamic graph-in-graph networks (DGIG-Net), a novel graph prototypes framework to learn a dynamic metric space by embedding a visual subgraph to a task-oriented cross-modal graph for few-shot HOI. Specifically, we first build a knowledge reconstruction graph to learn latent representations for HOI categories by reconstructing the relationship among visual features, which generates visual representations under the category distribution of every task. Then, a dynamic relation graph integrates both reconstructible visual nodes and dynamic task-oriented semantic information to explore a graph metric space for HOI class prototypes, which applies the discriminative information from the similarities among actions or objects. We validate DGIG-Net on multiple benchmark datasets, on which it largely outperforms existing FSL approaches and achieves state-of-the-art results.

Semantic-Guided Class-Imbalance Learning Model for Zero-Shot Image Classification

In this article, we focus on the task of zero-shot image classification (ZSIC) that equips a learning system with the ability to recognize visual images from unseen classes. In contrast to the traditional image classification, ZSIC more easily suffers from the class-imbalance issue since it is more concerned with the class-level knowledge transferring capability. In the real world, the sample numbers of different categories generally follow a long-tailed distribution, and the discriminative information in the sample-scarce seen classes is hard to transfer to the related unseen classes in the traditional batch-based training manner, which degrades the overall generalization ability a lot. To alleviate the class-imbalance issue in ZSIC, we propose a sample-balanced training process to encourage all training classes to contribute equally to the learned model. Specifically, we randomly select the same number of images from each class across all training classes to form a training batch to ensure that the sample-scarce classes contribute equally as those classes with sufficient samples during each iteration. Considering that the instances from the same class differ in class representativeness, we further develop an efficient semantic-guided feature fusion model to obtain the discriminative class visual prototype for the following visual-semantic interaction process via distributing different weights to the selected samples based on their class representativeness. Extensive experiments on three imbalanced ZSIC benchmark datasets for both traditional ZSIC and generalized ZSIC tasks demonstrate that our approach achieves promising results, especially for the unseen categories that are closely related to the sample-scarce seen categories. Besides, the experimental results on two class-balanced datasets show that the proposed approach also improves the classification performance against the baseline model.

AB0228 THE CONNECTION BETWEEN NUTRITIONAL STATUS AND DISEASE ACTIVITY IN RHEUMATOID ARTHRITIS

Background

Nutritional status is closely associated with a person’s physical condition. As for patients with autoimmune disease, nutritional status may affect the balance of immune system, which successively affects disease activity.

Objectives

The prognostic nutritional index (PNI), nutritional risk index (NRI), controlling nutritional status (CONUT) score and body mass index (BMI) are four widely used nutritional indices [1]. This study aimed to investigate the relationship between nutritional status and disease activity of rheumatoid arthritis (RA).

Methods

168 RA patients and 50 healthy volunteers were retrospectively enrolled. According to the disease activity score using 28 joint counts-erythrocyte sedimentation rate (DAS28-ESR), the cohort of RA patients was divided into the lower disease activity groups (DAS28-ESR≤3.2) and the higher disease activity groups (DAS28-ESR>3.2). We recorded clinical assessment and laboratory data for further analysis. Spearman’s correlation, receiver operation characteristic (ROC) curves, binary logistic regression analysis were carried out.

Results

Compared to the higher disease activity group, the lower disease activity group had low-level total protein (TP), ESR and CRP (all P<0.05), while high-level albumin and PNI (all P<0.05). PNI and NRI were negatively correlated with DAS28-ESR (r=-0.395, and r=-0.200, all P<0.05), while CONUT score was positively correlated with DAS28-ESR (r=0.324, P<0.05). ROC curve illustrated that area under the curve (AUC) of PNI for RA patients with higher disease activity was superior to NRI, CONUT score and BMI. The AUC of PNI was 0.693.

Figure 1.

The diagnostic value of variables for disease activity in rheumatoid arthritis using ROC curve

Table 1.

The correlation between nutritional indices and disease activity score using 28 joint counts-erythrocyte sedimentation rate (DAS28-ESR)

PNINRICONUT scoreBMIrP valuerP valuerP valuerP valueNeutrophil(×109/L)-0.0610.4340.0450.5680.0250.7570.0790.313Monocyte(×109/L)0.1830.1630.1450.064-0.1040.1930.1520.052Lymphocyte(×109/L)0.4720.0000.2010.010-0.4360.0000.2080.007ESR (mm/h)-0.5610.000-0.2580.0010.3930.000-0.1820.020CRP (mg/L)-0.5200.000-0.0770.3260.3910.0000.0030.967RF(IU/ml)-0.2240.004-0.1160.1510.2600.001-0.0820.306CCP(IU/ml)-0.1390.088-0.2010.0140.1950.018-0.1880.022DAS28-ESR-0.3950.000-0.2000.0110.3240.000-0.1420.072

Conclusion

PNI may become a manageable marker for detector disease activity of RA patients.

References

[1]Ahn, S.S., et al., Comparison of the Clinical Implications among Five Different Nutritional Indices in Patients with Lupus Nephritis. Nutrients, 2019. 11(7).

Disclosure of Interests

None declared

POS0799 BIOMARKER CHANGES IN TAKAYASU ARTERITIS AFTER TOFACITINIB TREATMENT AND THE MOLECULAR SIGNATURE ASSOCIATED WITH DISEASE CHARACTERISTICS

Background

Takayasu’s arteritis (TAK) is a chronic, non-specific, granulomatous macrovasculitis and its pathogenesis is still unclear. The increasing evidence indicated that multiple pathological process involved in the development of TAK. According to previous reports, multiple biomarkers representative different pathological process (1-3), However, which biomarker can closely reflect disease activity or vascular changes and whether these abnormal processes can be prevented by current therapies remained unknown.

Objectives

To analyze changes of serum cytokine, chemokine, and growth factor profiles in patients with Takayasu arteritis (TAK) after tofacitinib treatment and explore potential molecular signatures related with various disease characteristics

Methods

Seventeen patients from a TAK cohort treated with tofacitinib and 12 healthy controls were recruited in this study. Potential biomarkers with TAK including cytokines, MMPs, chemokines and growth factors were detected in these patients (0, 6, 12 months) and healthy controls. Molecular changes, disease activity, disease remission, and vascular imaging changes were analyzed in these patients after treatment. Furthermore, molecule signatures associated with these clinical features/outcomes were explored via radar plot and correlation analysis.

Results

At baseline, all the patients were in active status. Meanwhile, patients’ cytokines (PTX3, IL-6, IFN-γ), chemokines (IL-16, CCL22, CCL2), growth factor (VEGF) and MMP9 were significantly higher than those of healthy controls (all p<0.05), while FGF-2 was significantly lower in patients with TAK (p=0.02). After treatment, 94.12% of patients achieved complete remission at 6 and 12 months; patients’ ESR and CRP levels were significantly reduced at 6 months (p=0.02, p=0.046 respectively); vascular improvement were observed in 6 (35.29%) patients at 12 months. With regards to these molecules, IL-10 was increased at 6 months compared with its baseline level (p=0.007). No changes were observed in other cytokines, chemokines, or growth factors. Besides, the radar plot demonstrated that PTX3 was closely correlated with disease activity. In addition, patients with vascular imaging improvement had relatively higher baseline levels of TNFα, ESR, and CRP (p=0.04, p=0.056, p=0.07, respectively), lower CCL22, FGF, and PDGF-AB levels (p=0.056, p=0.06 and p=0.08 respectively) compared with patients without it.

Conclusion

Multiple molecules representative different pathological mechanism participated in the pathogenesis of TAK. PTX3 was a prominent marker for disease activity, and CCL22 may have a predictive value for vascular imaging changes.

References

[1]Dagna L, Salvo F, Tiraboschi M, et al. Pentraxin-3 as a marker of disease activity in Takayasu arteritis. Ann Intern Med. 2011;155(7):425-433. doi:10.7326/0003-4819-155-7-201110040-00005

[2]Sun Y, Kong X, Wu S, et al. YKL-40 as a new biomarker of disease activity in Takayasu arteritis. Int J Cardiol. 2019; 293: 231-237

[3]Dong H, Zhang Y, Zou Y, et al. Elevated chemokines concentration is associated with disease activity in Takayasu arteritis. Cytokine. 2021; 143: 155515

Disclosure of Interests

None declared

POS0491 A COMPREHENSIVE PROFILE OF CHEMOKINES IN THE PERIPHERAL BLOOD AND VASCULAR TISSUE OF PATIENTS WITH TAKAYASU ARTERITIS

Background

Takayasu arteritis (TAK) is a chronic granulomatous large vessel vasculitis with multiple immune cells involved [1]. In TAK, vascular lesions originate from the vascular adventitia. The vascular adventitia is rich in vasa vasorum, which can transport peripheral immune cells to active vascular lesions in the early stage of lesion development [2]. Thus, chemokines played critical roles in the pathogenesis of TAK. It has been reported that the levels of RANTES, CCL2, CCL20, CXCL8, and CXCL10 were elevated in TAK, and their levels were correlated with disease activity [3, 4]. However, the profile of chemokines in TAK has not been clearly elucidated.

Objectives

This study aimed to investigate chemokine profile in peripheral blood and vascular tissue of patients with TAK.

Methods

A total of 58 patients with TAK and 53 healthy controls were enrolled. Chemokine array assay was performed in five patients with TAK and three controls. Chemokines with higher levels were preliminarily validated in 20 patients and controls. The validated chemokines were further confirmed in another group of samples with 25 patients and 25 controls. Their expression and distribution were also examined in vascular tissue from 8 patients and 5 controls. Correlations between these chemokines and peripheral immune cells, cytokines, disease activity parameters were analyzed. Their serum changes were also investigated in these 45 patients after glucocorticoids and immunosuppressive treatment.

Results

Patients and controls were age and sex-matched. Twelve higher chemokines and 4 lower chemokines were found based on the chemokine array. After validation, increase of 5 chemokines were confirmed in patients with TAK, including CCL22, RANTES, CXCL16, CXCL11, and IL-16. Their expressions were also increased in vascular tissue of patients with TAK. In addition, levels of RANTES and IL-16 were positively correlated with peripheral CD3+CD4+ T cell numbers. Close localization of CCL22, CXCL11 or IL-16 with inflammatory cells were also observed in TAK vascular tissue. No correlations were found between these chemokines and cytokines (IL-6, IL-17, IFN-γ) or inflammatory parameters (ESR, CRP). No differences were observed regarding with these chemokines between active and inactive patients. After treatment, increase of CCL22 and decrease of RANTES, CXCL16 were found, while no changes were showed in levels of CXCL11 and IL-16.

Conclusion

CCL22, RANTES, CXCL16, CXCL11, and IL-16 were identified as the major chemokines involved in the recruitment of immune cells in the vascular tissue of patients with TAK. Additionally, the persistently high levels of CCL22, CXCL11, and IL-16 observed after treatment indicate their role in vascular chronic inflammation or fibrosis and demonstrate the need for developing more efficacious treatment options.

References

[1]Seyahi E. Takayasu arteritis: an update. Curr Opin Rheumatol. 2017 Jan;29(1):51-56.

[2]Corbera-Bellalta M, Planas-Rigol E, Lozano E, Terrades-García N, Alba MA, Prieto-González S, García-Martínez A, Albero R, Enjuanes A, Espígol-Frigolé G, Hernández-Rodríguez J, Roux-Lombard P, Ferlin WG, Dayer JM, Kosco-Vilbois MH, Cid MC. Blocking interferon γ reduces expression of chemokines CXCL9, CXCL10 and CXCL11 and decreases macrophage infiltration in ex vivo cultured arteries from patients with giant cell arteritis. Ann Rheum Dis. 2016 Jun;75(6):1177-86.

[3]Noris M, Daina E, Gamba S, Bonazzola S, Remuzzi G. Interleukin-6 and RANTES in Takayasu arteritis: a guide for therapeutic decisions? Circulation. 1999 Jul 6;100(1):55-60.

[4]Dong H, Zhang Y, Zou Y, Chen Y, Yue J, Liu H, Jiang X. Elevated chemokines concentration is associated with disease activity in Takayasu arteritis. Cytokine. 2021 Jul;143:155515.

Disclosure of Interests

None declared.

Achieving dual-color imaging by dual-band perovskite photodetectors coupled with algorithms

Dual-color or multispectral imaging based on conventional optical imaging techniques is suffering from the bottleneck of complex manufacturing and time consumption caused by multiple imaging. Herein, we develop a dual-color computational imaging system combining a vertically stacked dual-channel dual-band perovskite photodetectors (PDs) and the advanced Fourier imaging algorithm. Significantly, our imaging system bypasses the complex fabrication process of high-density dual-band PD arrays and is enabled to capture two high-resolution spectral images at the same time. Based on the experiments and simulations, we confirm that the spectral overlap of dual-band PDs will cause detrimental effect for color identification, and optimizing the bandwidth spectrum is beneficial for achieving much better spectral imaging. Moreover, we have further improved the imaging quality by increasing the sampling rate and suppressing current fluctuations. We suggest that these results provide important interesting insights for the development of advanced imaging systems, including IR imaging, THz imaging, multispectral/hyperspectral imaging, etc.

Overexpression of miR-146a-5p Ameliorates Inflammation and Autophagy in TLCs-Induced AR42J Cell Model of Acute Pancreatitis by Inhibiting IRAK1/TRAF6/NF-κB Pathway

MicroRNA-146a-5p (miR-146a-5p) has been shown to mediate the inflammatory responses and autophagy in many diseases; however, its role in acute pancreatitis (AP) is not clear.

OBJECTIVE

To determine the expression and role of miR-146a-5p in taurolithocholic acid-3-sulphate (TLCs) induced-AR42J cell model of AP.

METHODS

Quantitative reverse transcription polymerase chain reaction, western blot, enzyme linked immunosorbent assay (ELISA), miRNA mimics or vectors or small interfering RNAs transfection and dual-luciferase reporter assay were employed in this study.

RESULTS

miR-146a-5p was concentration-dependently decreased; while, interleukin-1 receptor associated kinase 1 (IRAK1) and tumor necrosis factor receptor associated factor 6 (TRAF6) were concentration-dependently increased after TLCs treatment. TLCs induced high levels of tumor necrosis factor-α (TNF-α) and interleukin-6 (IL-6) and impaired autophagy characterized as increased of LC3-II/I and decreased expression of p62. Overex-presion of miR-146a-5p and knockdown of IRAK1/TRAF6 inhibited TLCs-induced inflammation and autophagy. Luciferase assay confirmed miR-146a-5p can directly target IRAK1 and TRAF6. The expression of p-NF-κB p65 was increased by TLCs, decreased by miR-146a-5p overexpression and IRAK1/ TRAF6 knockdown but increased after upregulation of IRAK1/TRAF6.

CONCLUSIONS

Overexpression of miR-146a-5p ameliorates inflammation and autophagy in TLCs-treated AR42J cells by inhibiting IRAK1/ TRAF6/NF-κB pathway.

Underwater Multispectral Computational Imaging Based on a Broadband Water-Resistant Sb2Se3 Heterojunction Photodetector

Exploration, utilization, and protection of marine resources are of great significance to the survival and development of mankind. However, currently classical optical cameras suffer information loss, low contrast, and color distortion due to the absorption and scattering nature for the underwater environment. Here, we demonstrate an underwater multispectral computational imaging system combined with single-photodetector imaging algorithm technology and a CdS/Sb₂Se₃ heterojunction photodetector. The computational imaging technology coupled with an advanced Fourier algorithm can capture a scene by a single photodetector without spatial resolution that avoids the need to rely on high-density detectors array and bulky optical components in traditional imaging systems. This convenient computational imaging method provides more flexible possibilities for underwater imaging and promises to give more imaging capabilities (such as multispectral imaging, antiscattering imaging capability) to meet ever-changing demand of underwater imaging. In addition, the water-resistant CdS/Sb₂Se₃ heterojunction photodetector fabricated by the close spaced sublimation (Sb₂Se₃) and chemical bath deposition (CdS) shows excellent self-powered photodetection performance at zero bias with high LDR of 128 dB, broadband response spectrum range of 300-1050 nm, high responsivity up to 0.47 A/W, and high specific detectivity over 5 × 10¹² jones. Compared with the traditional optical imaging system, our designed computational imaging system that combines the advanced Fourier algorithm and a high-performance CdS/Sb₂Se₃ heterojunction photodetector exhibits outstanding antiscattering imaging capability (shielded by frosted glass), weak light imaging capability (∼0.2 μW/cm², corresponding to moonlight intensity), and multispectral imaging capability. Therefore, we believe that this work will boost the progress of marine science.

Molecular characterization of vascular intestinal obstruction using whole-exome sequencing

Background

Methods

Results

Conclusions

A descriptive assessment of a broad range of food-related parenting practices in a diverse cohort of parents of preschoolers using the novel Real-Time Parent Feeding Practices Survey

Background

Much of the research to-date on food parenting has evaluated typical use of various parent feeding practices via questionnaire. The Real-Time Parent Feeding Practices Measurement survey was developed for use within an Ecological Momentary Assessment (EMA) protocol to capture momentary use of parent feeding practices in real-time.

Methods

This manuscript describes the development of the EMA-based Real-Time Parent Feeding Practices survey and highlights initial descriptive data on the real-time use of 22 individual parent feeding practices (e.g., pressure-to-eat, guided choices, etc.) as reported via EMA by parents of preschool-aged children (n = 116) over a 10-day data collection time period. A total of 3382 eating occasions were reported, with an average of 29.2 reported eating occasions per participant.

Results

Results revealed that most participants used a variety of food-related parenting practices day-to-day that span four higher-order domains: structure, autonomy support, coercive control and indulgence. Supportive feeding practices, defined as those from the structure and autonomy support domains, were reported most frequently, with one or more structure behavior (e.g., specific mealtime rules/routines) was used at 88.9% of reported eating occasions and one or more autonomy support behavior (e.g., involvement of the child in meal preparation) was used at 87.3% of eating occasions. While unsupportive feeding practices, defined as practices from within the coercive control (e.g., pressure-to-eat) and indulgent (e.g., anticipatory catering) feeding domains, were reported less frequently, one or more behaviors from each of these domains were still reported at over 25% of all eating occasions.

Conclusions

Results of the current study take a next step towards deepening our understanding of the use of a broad range of food-related parenting practices in real-time. Findings revealed that the vast majority of practices used by parents fall within the structure and autonomy support domains. However, most parents did not exclusively use supportive or unsupportive practices, rather they used a combination of food-related parenting practices across all domains. Future research should continue to explore a broad range of food-related parenting practices and seek to understand how parent approaches to feeding are associated with long-term child outcomes, including dietary intake, food preferences, and eating patterns.

[Study on noninvasive blood glucose detection method using the near-infrared light based on particle swarm optimization and back propagation neural network]

Most of the existing near-infrared noninvasive blood glucose detection models focus on the relationship between near-infrared absorbance and blood glucose concentration, but do not consider the impact of human physiological state on blood glucose concentration. In order to improve the performance of prediction model, particle swarm optimization (PSO) algorithm was used to train the structure paramters of back propagation (BP) neural network. Moreover, systolic blood pressure, pulse rate, body temperature and 1 550 nm absorbance were introduced as input variables of blood glucose concentration prediction model, and BP neural network was used as prediction model. In order to solve the problem that traditional BP neural network is easy to fall into local optimization, a hybrid model based on PSO-BP was introduced in this paper. The results showed that the prediction effect of PSO-BP model was better than that of traditional BP neural network. The prediction root mean square error and correlation coefficient of ten-fold cross-validation were 0.95 mmol/L and 0.74, respectively. The Clarke error grid analysis results showed that the proportion of model prediction results falling into region A was 84.39%, and the proportion falling into region B was 15.61%, which met the clinical requirements. The model can quickly measure the blood glucose concentration of the subject, and has relatively high accuracy.

SMAN: Stacked Multimodal Attention Network for Cross-Modal Image-Text Retrieval

This article focuses on tackling the task of the cross-modal image-text retrieval which has been an interdisciplinary topic in both computer vision and natural language processing communities. Existing global representation alignment-based methods fail to pinpoint the semantically meaningful portion of images and texts, while the local representation alignment schemes suffer from the huge computational burden for aggregating the similarity of visual fragments and textual words exhaustively. In this article, we propose a stacked multimodal attention network (SMAN) that makes use of the stacked multimodal attention mechanism to exploit the fine-grained interdependencies between image and text, thereby mapping the aggregation of attentive fragments into a common space for measuring cross-modal similarity. Specifically, we sequentially employ intramodal information and multimodal information as guidance to perform multiple-step attention reasoning so that the fine-grained correlation between image and text can be modeled. As a consequence, we are capable of discovering the semantically meaningful visual regions or words in a sentence which contributes to measuring the cross-modal similarity in a more precise manner. Moreover, we present a novel bidirectional ranking loss that enforces the distance among pairwise multimodal instances to be closer. Doing so allows us to make full use of pairwise supervised information to preserve the manifold structure of heterogeneous pairwise data. Extensive experiments on two benchmark datasets demonstrate that our SMAN consistently yields competitive performance compared to state-of-the-art methods.

Complete Genomic Data of Pantoea ananatis Strain TZ39 Associated with New Bacterial Blight of Rice in China

Pantoea ananatis is a phytopathogen infecting many economically important crops, including rice worldwide. Here, we report the complete genome of P. ananatis strain TZ39 identified as causative agent of a new bacterial blight of rice that emerged in China in 2020. The assembled genome consists of one circular chromosome of 4,483,976 bp and two plasmids of 135,135 and 276,579 bp. This complete genome of the first Chinese pathogenic P. ananatis strain will provide new insights into the traits of pathogenicity on genomic level from China and worldwide.

Information Symmetry Matters: A Modal-Alternating Propagation Network for Few-Shot Learning

Semantic information provides intra-class consistency and inter-class discriminability beyond visual concepts, which has been employed in Few-Shot Learning (FSL) to achieve further gains. However, semantic information is only available for labeled samples but absent for unlabeled samples, in which the embeddings are rectified unilaterally by guiding the few labeled samples with semantics. Therefore, it is inevitable to bring a cross-modal bias between semantic-guided samples and nonsemantic-guided samples, which results in an information asymmetry problem. To address this problem, we propose a Modal-Alternating Propagation Network (MAP-Net) to supplement the absent semantic information of unlabeled samples, which builds information symmetry among all samples in both visual and semantic modalities. Specifically, the MAP-Net transfers the neighbor information by the graph propagation to generate the pseudo-semantics for unlabeled samples guided by the completed visual relationships and rectify the feature embeddings. In addition, due to the large discrepancy between visual and semantic modalities, we design a Relation Guidance (RG) strategy to guide the visual relation vectors via semantics so that the propagated information is more beneficial. Extensive experimental results on three semantic-labeled datasets, i.e., Caltech-UCSD-Birds 200-2011, SUN Attribute Database and Oxford 102 Flower, have demonstrated that our proposed method achieves promising performance and outperforms the state-of-the-art approaches, which indicates the necessity of information symmetry.

Probing Gluon Spin-Momentum Correlations in Transversely Polarized Protons through Midrapidity Isolated Direct Photons in p^{↑}+p Collisions at sqrt[s]=200 GeV

Studying spin-momentum correlations in hadronic collisions offers a glimpse into a three-dimensional picture of proton structure. The transverse single-spin asymmetry for midrapidity isolated direct photons in p^{↑}+p collisions at sqrt[s]=200  GeV is measured with the PHENIX detector at the Relativistic Heavy Ion Collider (RHIC). Because direct photons in particular are produced from the hard scattering and do not interact via the strong force, this measurement is a clean probe of initial-state spin-momentum correlations inside the proton and is in particular sensitive to gluon interference effects within the proton. This is the first time direct photons have been used as a probe of spin-momentum correlations at RHIC. The uncertainties on the results are a 50-fold improvement with respect to those of the one prior measurement for the same observable, from the Fermilab E704 experiment. These results constrain gluon spin-momentum correlations in transversely polarized protons.

Optical coherence tomography-defined vulnerable plaque characteristics in relation to functional severity of coronary stenoses stratified by quantitative flow ratio

Background

The functional severity and morphological features of epicardial lesions are both related to plaque vulnerability and adverse coronary events. However, their relationship remains controversial, especially in patients with non-ST-segment elevation acute coronary syndrome (NSTE-ACS).

Purpose

This study aimed to examine whether quantitative flow ratio (QFR), an angiography-based computation of fractional flow reserve, was associated with optical coherence tomography (OCT)-defined vulnerable plaques such as thin-cap fibroatheromas (TCFAs) in a board spectrum of population, including patients presenting stable angina and NSTE-ACS.

Methods

We identified patients who underwent OCT examinations from 2 prospective cohorts and then assessed interrogated vessels with QFR. Lesions were divided into tertiles: QFR-T1 (QFR &lt;0.85)&lt;qfr),&gt;, QFR-T2 (0.85 to 0.93) and QFR-T3 (QFR &gt;0.93).

Results

This post-hoc analysis included 83 lesions from 79 patients (mean age: 61.5±9.8 years, males: 58%). Patients with NSTE-ACS accounted for the majority of the population (67%). The median % diameter stenosis and median QFR value were 42% (36 to 49%) and 0.88 (0.83 to 0.95), respectively. The prevalence of OCT-TCFA was significantly higher in QFR-T1 (50%) than in QFR-T2 (14%) and QFR-T3 (19%) (p=0.003 and 0.018, respectively). Overall significant differences were observed among tertiles in maximum lipid arc, thinnest fibrous cap thickness (FCT), and minimal lumen area (MLA) (p=0.017, 0.040, and &lt;0.001, respectively). The Spearman's correlation analysis showed that QFR was significantly related to MLA (ρ = 0.537, p&lt;0.001), % area stenosis (ρ = –0.512, p&lt;0.001), maximum lipid arc (ρ = –0.360, p=0.002), lipid length (ρ = –0.242, p=0.038), lipid index (ρ = –0.333, p=0.004), and thinnest FCT (ρ = 0.315, p=0.006). In the multivariable analysis, QFR ≤0.80 remained as a significant determinant of TCFAs regardless of the presence of NSTE-ACS and the level of low-density lipoprotein cholesterol (adjusted odds ratio = 4.387, 95% confidence interval: 1.297 to 14.839, p=0.017). In addition, QFR demonstrated moderate predictive ability for OCT-TCFA (area under the curve = 0.72, 95% confidence interval: 0.58 to 0.86, p=0.003) with the best cutoff of ≤0.86 (sensitivity: 65%; specificity: 73%; negative predictive value: 85%; accuracy: 71%).

Conclusions

Lower QFR was related to OCT-TCFA and other vulnerable plaque characteristics in angiographically mild-to-intermediate stable lesions and culprit lesions from NSTE-ACS. The QFR might be a useful tool for ruling out high-risk, rupture-prone plaques without using any pressure wires or vasodilators.

Funding Acknowledgement

Type of funding sources: Foundation. Main funding source(s): The Jiangsu Provincial Key Research and Development Program Flow diagram of patient selectionOCT findings according to QFR tertiles