Brain State Relays Self-Processing and Heartbeat-Evoked Cortical Responses

The self has been proposed to be grounded in interoceptive processing, with heartbeat-evoked cortical activity as a neurophysiological marker of this processing. However, inconsistent findings have been reported on the relationship between heartbeat-evoked cortical responses and self-processing (including exteroceptive- and mental-self-processing). In this review, we examine previous research on the association between self-processing and heartbeat-evoked cortical responses and highlight the divergent temporal-spatial characteristics and brain regions involved. We propose that the brain state relays the interaction between self-processing and heartbeat-evoked cortical responses and thus accounts for the inconsistency. The brain state, spontaneous brain activity which highly and continuously changes in a nonrandom way, serves as the foundation upon which the brain functions and was proposed as a point in an extremely high-dimensional space. To elucidate our assumption, we provide reviews on the interactions between dimensions of brain state with both self-processing and heartbeat-evoked cortical responses. These interactions suggest the relay of self-processing and heartbeat-evoked cortical responses by brain state. Finally, we discuss possible approaches to investigate whether and how the brain state impacts the self-heart interaction.

Target-Responsive Metal-Organic Framework Nanosystem with Synergetic Sensitive Detection and Controllable Degradation against the Pesticide Triazophos in Contaminated Samples for Environment Assessment and Food Safety

Developing sensitive practical sensors for monitoring pesticide residues in edible foods and environmental samples is vital for food safety and environmental protection. Enzyme-inhibited biosensors offer effective alternative sensing strategies by using the inherent characteristics of pesticides. To further improve the degradation function of pesticide sensors, here, a target-triggered porphyrin metal-organic framework (MOF)-based nanosystem was designed with the synergetic bifunction of sensitive detection and controllable degradation of the triazophos pesticide. As a result of triazophos-inhibited glutathione consumption, the MOF collapsed and released the ligand porphyrin, leading to the recovery of fluorescence and photosensitization of the free porphyrin. The fluorescence recovery resulted in a sensitive detection limit of 0.6 ng mL^-1 for triazophos, which was also applied for the determination of contaminated samples and bioaccumulation in rice. Furthermore, the target-activated photocatalytic ability of porphyrin endowed the system with the ability to effectively generate reactive oxygen species for degrading triazophos with a removal rate of ∼85%, achieving eco-friendly synergetic detection and photodegradation in a controllable way. Therefore, the intelligent multifunctional MOF system demonstrated the potential of programmable systems for jointly controllable tracking and elimination of pesticide residues in the environment and opened a new avenue for designing a precise mechanism for stimulus-triggered degradation of pesticide residues accompanied by sensitive detection for environmental friendliness and food safety.

A novel estrogen-targeted PEGylated liposome co-delivery oxaliplatin and paclitaxel for the treatment of ovarian cancer

Ovarian cancer is the second cause of death among gynecological malignancies. In this study, we designed a novel estrogen-targeted PEGylated liposome loaded with oxaliplatin and paclitaxel (ES-SSL-OXA/PTX) which could target estrogen receptor (ER) highly expressed on the surface of SKOV-3 cells to enhance therapeutic efficacy and reduce the side effects for SKOV-3 tumor therapy. ES-SSL-OXA/PTX was prepared by thin film hydration method and exhibited a uniform spherical morphology. Encapsulation efficiency (EE) were determined by HPLC method with the results of 44.10% for OXA and 65.85% for PTX. The mean particle size and polydispersity index (PDI) were 168.46 nm and 0.145, respectively. In vivo and in vitro targeting study confirmed that ES-SSL-OXA/PTX has optimum specific targeting ability. Meanwhile, In vitro and in vivo antitumor results of ES-SSL-OXA/PTX exhibited a superior antiproliferative effect on SKOV-3 cells and a stronger anti-tumor efficacy with the tumor inhibition rate of 85.24%. The pharmacokinetics results of ES-SSL-OXA/PTX showed a prolonged half-life time and a slowed clearance rate. The preliminary safety study of acute toxicity and long-term toxicity demonstrated ES-SSL-OXA/PTX exhibited a reduced toxicity profile. Based on the above results, ES-SSL-OXA/PTX could be a promising novel formulation for the treatment of ovarian cancer in future clinic.

Evaluating the accuracy of automated cephalometric analysis based on artificial intelligence

BACKGROUND

The purpose of this study was to evaluate the accuracy of automatic cephalometric landmark localization and measurements using cephalometric analysis via artificial intelligence (AI) compared with computer-assisted manual analysis.

METHODS

Reconstructed lateral cephalograms (RLCs) from cone-beam computed tomography (CBCT) in 85 patients were selected. Computer-assisted manual analysis (Dolphin Imaging 11.9) and AI automatic analysis (Planmeca Romexis 6.2) were used to locate 19 landmarks and obtain 23 measurements. Mean radial error (MRE) and successful detection rate (SDR) values were calculated to assess the accuracy of automatic landmark digitization. Paired t tests and Bland‒Altman plots were used to compare the differences and consistencies in cephalometric measurements between manual and automatic analysis programs.

RESULTS

The MRE for 19 cephalometric landmarks was 2.07 ± 1.35 mm with the automatic program. The average SDR within 1 mm, 2 mm, 2.5 mm, 3 and 4 mm were 18.82%, 58.58%, 71.70%, 82.04% and 91.39%, respectively. Soft tissue landmarks (1.54 ± 0.85 mm) had the most consistency, while dental landmarks (2.37 ± 1.55 mm) had the most variation. In total, 15 out of 23 measurements were within the clinically acceptable level of accuracy, 2 mm or 2°. The rates of consistency within the 95% limits of agreement were all above 90% for all measurement parameters.

CONCLUSION

Automatic analysis software collects cephalometric measurements almost effectively enough to be acceptable in clinical work. Nevertheless, automatic cephalometry is not capable of completely replacing manual tracing. Additional manual supervision and adjustment for automatic programs can increase accuracy and efficiency.

Evaluating the accuracy of automated cephalometric analysis based on artificial intelligence

BACKGROUND

The purpose of this study was to evaluate the accuracy of automatic cephalometric landmark localization and measurements using cephalometric analysis via artificial intelligence (AI) compared with computer-assisted manual analysis.

METHODS

Reconstructed lateral cephalograms (RLCs) from cone-beam computed tomography (CBCT) in 85 patients were selected. Computer-assisted manual analysis (Dolphin Imaging 11.9) and AI automatic analysis (Planmeca Romexis 6.2) were used to locate 19 landmarks and obtain 23 measurements. Mean radial error (MRE) and successful detection rate (SDR) values were calculated to assess the accuracy of automatic landmark digitization. Paired t tests and Bland‒Altman plots were used to compare the differences and consistencies in cephalometric measurements between manual and automatic analysis programs.

RESULTS

The MRE for 19 cephalometric landmarks was 2.07 ± 1.35 mm with the automatic program. The average SDR within 1 mm, 2 mm, 2.5 mm, 3 and 4 mm were 18.82%, 58.58%, 71.70%, 82.04% and 91.39%, respectively. Soft tissue landmarks (1.54 ± 0.85 mm) had the most consistency, while dental landmarks (2.37 ± 1.55 mm) had the most variation. In total, 15 out of 23 measurements were within the clinically acceptable level of accuracy, 2 mm or 2°. The rates of consistency within the 95% limits of agreement were all above 90% for all measurement parameters.

CONCLUSION

Automatic analysis software collects cephalometric measurements almost effectively enough to be acceptable in clinical work. Nevertheless, automatic cephalometry is not capable of completely replacing manual tracing. Additional manual supervision and adjustment for automatic programs can increase accuracy and efficiency.

Kynurenine 3-Monooxygenase Gene SsCI51640 Is Required for Sporisorium scitamineum Mating/Filamentation by Regulating cAMP Pathway and Improving Sporidia Environmental Adaptability

Sugarcane smut is a serious disease caused by Sporisorium scitamineum, which causes significant losses to the sugar industry. It is critical to reveal the molecular pathogenic mechanism of S. scitamineum to explore a new control strategy for sugarcane smut. On the basis of transcriptome sequencing data of two S. scitamineum strains with different pathogenicity, we identified the gene, SsCI51640, which was predicted to encode kynurenine 3-monooxygenase. In this study, we obtained knockout mutants and complementary mutants of this gene and identified gene function. The results showed that the sporidial growth rate and acid production ability of knockout mutants were significantly higher and stronger than those of the wild-type and complementary mutants. The growth of knockout mutants under abiotic stress (osmotic stress and cell wall stress) was significantly inhibited. In addition, the sexual mating ability and pathogenicity of knockout mutants were significantly reduced, while this phenomenon could be restored by adding exogenous cyclic adenosine monophosphate (cAMP). It is thus speculated that the SsCI51640 gene may regulate sexual mating and pathogenicity of S. scitamineum by the cAMP signaling pathway. Moreover, the SsCI51640 gene enhanced the sporidial environmental adaptability, which promoted sexual mating and development of pathogenicity. This study provides a theoretical basis for the molecular pathogenesis of S. scitamineum.

The impact of chronic obstructive pulmonary disease on the prognosis outcomes of patients with percutaneous coronary intervention or coronary artery bypass grafting: A meta-analysis

BACKGROUND

Coronary artery disease (CAD) is one of the main types of cardiovascular disease and is characterized by myocardial ischemia as a result of narrowing of the coronary arteries.

OBJECTIVE

To evaluate the impact of chronic obstructive pulmonary disease (COPD) on outcomes in patients with CAD treated by percutaneous coronary intervention (PCI) or coronary artery bypass grafting (CABG).

METHODS

We searched PubMed, Embase, Web of Science, and Cochrane Library for observational studies and post-hoc analyses of randomized controlled trials published before Jan 20, 2022, in English. Adjusted odds ratios (ORs), risk ratios (RRs), and hazard ratios (HRs) for short-term outcomes (in-hospital and 30-day all-cause mortality) and long-term outcomes (all-cause mortality, cardiac death, major adverse cardiac events) were extracted or transformed.

RESULTS

Nineteen studies were included. The risk of short-term all-cause mortality was significantly higher in patients with COPD than in those without COPD (RR 1.42, 95% CI 1.05-1.93), as were the risks of long-term all-cause mortality (RR 1.68, 95% CI 1.50-1.88) and long-term cardiac mortality (HR 1.84, 95% CI 1.41-2.41). There was no significant between-group difference in the long-term revascularization rate (HR 1.01, 95% CI 0.99-1.04) or in short-term and long-term stroke rates (OR 0.89, 95% CI 0.58-1.37 and HR 1.38, 95% CI 0.97-1.95). Operation significantly affected heterogeneity and combined results for long-term mortality (CABG, HR 1.32, 95% CI 1.04-1.66; PCI, HR 1.84, 95% CI 1.58-2.13).

CONCLUSIONS

COPD was independently associated with poor outcomes after PCI or CABG after adjustment for confounders.

Activation of endogenous retrovirus triggers microglial immuno-inflammation and contributes to negative emotional behaviors in mice with chronic stress

BACKGROUND

The "missing" link of complex and multifaceted interplay among endogenous retroviruses (ERVs) transcription, chronic immuno-inflammation, and the development of psychiatric disorders is still far from being completely clarified. The present study was aimed to investigate the mechanism of protective role of inhibiting ERVs on reversing microglial immuno-inflammation in basolateral amygdala (BLA) in chronic stress-induced negative emotional behaviors in mice.

METHODS

Male C57BL/6 mice were exposed to chronic unpredictable mild stress (CUMS) for 6 w. Negative emotional behaviors were comprehensively investigated to identify the susceptible mice. Microglial morphology, ERVs transcription, intrinsic nucleic acids sensing response, and immuno-inflammation in BLA were assessed.

RESULTS

Mice with chronic stress were presented as obviously depressive- and anxiety-like behaviors, and accompanied with significant microglial morphological activation, murine ERVs genes MuERV-L, MusD, and IAP transcription, cGAS-IFI16-STING pathway activation, NF-κB signaling pathway priming, as well as NLRP3 inflammasome activation in BLA. Antiretroviral therapy, pharmacological inhibition of reverse transcriptases, as well as knocking-down the ERVs transcriptional regulation gene p53 significantly inhibited microglial ERVs transcription and immuno-inflammation in BLA, as well as improved the chronic stress-induced negative emotional behaviors.

CONCLUSIONS

Our results provided an innovative therapeutic approach that targeting ERVs-associated microglial immuno-inflammation may be beneficial to the patients with psychotic disorders.

Overexpression of NT3P75-2 gene modified bone marrow mesenchymal stem cells supernatant promotes neurological function recovery in ICH rats

Intracerebral hemorrhage (ICH) is an acute cerebrovascular disease with high mortality and long-term disability rates. Stem cell transplantation and neurotrophic factor therapy have shown great potential in ICH. It has been established that mutated NT3 (NT3P75 - 2) can enhance the positive biological functions of NT3 by decreasing its affinity to the P75-2 receptor. The present study aimed to explore whether NT3P75-2 could further improve neurological recovery after ICH. First, we constructed three stable BMSC cell lines (GFP, GFP-NT3 overexpressed and GFP-NT3P75 - 2 overexpressed) by lentivirus infection. Next, rats were injected with fresh supernatants of these three cell lines on days 1 (24 h) and 3 (72 h) post-ICH induction. Behavioral evaluations were conducted to assess the neurological recovery of ICH rats. We further evaluated changes in microglia activation, neuron survival and proliferation of neural stem cells. Compared with the GFP group and the GFP-NT3 group, animals in the GFP-NT3P75 - 2 group exhibited better motor function improvements and milder neuroinflammation response. Meanwhile, overexpression of NT3P75 - 2 significantly decreased neuronal apoptosis and increased number of SOX2 - positive cells. Taken together, our study demonstrated that early administration of NT3P75 - 2 enriched BMMSC supernatants significantly enhanced neuro-functional recovery after ICH by regulating neuroinflammation response, neuronal survival and increasing neural stem cell number, providing a new therapeutic strategy and direction for early treatment of ICH.

Cerium oxide nanoparticles protect against chondrocytes and cartilage explants from oxidative stress via Nrf2/HO-1 pathway in temporomandibular joint osteoarthritis

Oxidative stress is closely linked to the etiology of temporomandibular joint osteoarthritis. (TMJ-OA) and is an important therapeutic target. Cerium oxide nanoparticles (CNPs) have been broadly studied owing to their powerful antioxidant properties and potential preventive and therapeutic effects against chronic diseases. The current study was designed to explore the protective effects of CNPs on the progression of TMJ-OA and their potential mechanisms. We detected the ability of CNPs to eliminate reactive oxygen species (ROS) in chondrocytes. Moreover, their protective effects on chondrocytes were detected in the level of gene and protein. Furthermore, TUNEL assay, histology and safranin O-fast green staining were used to detect the beneficial effects of CNPs on cartilage explants. The mechanism of CNPs, protecting condylar cartilage by reducing inflammation, was further explored by knocking down the Nuclear factor-erythroid 2-related factor (Nrf2) gene. CNPs could reduce the ROS levels in chondrocytes and cartilage explants and reverse the IL-1β-induced imbalance of cartilage matrix metabolism and apoptosis. The protective effects of CNPs on cartilage were lost after key antioxidant factors including Nrf2 and heme-oxygenase 1(HO-1) were significantly reduced. In conclusion, this study demonstrated for the first time that activating the Nrf2/HO-1 signaling pathway by CNPs might have therapeutic potential for TMJ-OA.

CMF-Net: craniomaxillofacial landmark localization on CBCT images using geometric constraint and transformer

Accurate and robust anatomical landmark localization is a mandatory and crucial step in deformation diagnosis and treatment planning for patients with craniomaxillofacial (CMF) malformations. In this paper, we propose a trainable end-to-end cephalometric landmark localization framework on CBCT scans, referred to as CMF-Net, which combines the appearance with transformers, geometric constraint, and adaptive wing (AWing) loss. More precisely: 1) We decompose the localization task into two branches: the appearance branch integrates transformers for identifying the exact positions of candidates, while the geometric constraint branch at low resolution allows the implicit spatial relationships to be effectively learned on the reduced training data. 2) We use the AWing loss to leverage the difference between the pixel values of the target heatmaps and the automatic prediction heatmaps. We verify our CMF-Net by identifying the 24 most relevant clinical landmarks on 150 dental CBCT scans with complicated scenarios collected from real-world clinics. Comprehensive experiments show that it performs better than the state-of-the-art deep learning methods, with an average localization error of 1.108 mm (the clinically acceptable precision range being 1.5 mm) and a correct landmark detection rate equal to 79.28%. Our CMF-Net is time-efficient and able to locate skull landmarks with high accuracy and significant robustness. This approach could be applied in 3D cephalometric measurement, analysis, and surgical planning.

Harnessing heterogeneity in space with statistically guided meta-learning

Spatial data are ubiquitous, massively collected, and widely used to support critical decision-making in many societal domains, including public health (e.g., COVID-19 pandemic control), agricultural crop monitoring, transportation, etc. While recent advances in machine learning and deep learning offer new promising ways to mine such rich datasets (e.g., satellite imagery, COVID statistics), spatial heterogeneity-an intrinsic characteristic embedded in spatial data-poses a major challenge as data distributions or generative processes often vary across space at different scales, with their spatial extents unknown. Recent studies (e.g., SVANN, spatial ensemble) targeting this difficult problem either require a known space-partitioning as the input, or can only support very limited number of partitions or classes (e.g., two) due to the decrease in training data size and the complexity of analysis. To address these limitations, we propose a model-agnostic framework to automatically transform a deep learning model into a spatial-heterogeneity-aware architecture, where the learning of arbitrary space partitionings is guided by a learning-engaged generalization of multivariate scan statistic and parameters are shared based on spatial relationships. Moreover, we propose a spatial moderator to generalize learned space partitionings to new test regions. Finally, we extend the framework by integrating meta-learning-based training strategies into both spatial transformation and moderation to enhance knowledge sharing and adaptation among different processes. Experiment results on real-world datasets show that the framework can effectively capture flexibly shaped heterogeneous footprints and substantially improve prediction performances.

Utility estimations of different health states of patients with type I, II, and III spinal muscular atrophy in China: A mixed approach study with patient and proxy-reported data

Introduction

Spinal muscular atrophy (SMA) is a rare autosomal-recessive neuromuscular disease. Health state utility values (HSUV) are used in health economic evaluation regarding the desirability of health outcomes such as a certain health state or change in health states over time. There is no utility data of Chinese patients with SMA.

Materials and methods

Vignettes were developed for 10 pediatric neurologists to value the utility of Chinese patients with Type I SMA. A mixed patient/proxy derived approach using EQ-5D-Y-3L, EQ-5D-3L, and CHU9D was adopted to estimate the HSUV data of patients with Type II and III SMA, including 112 patients and 301 caregivers.

Result

The utility of Type I SMA patients ranged from 0.19 to 0.72 with the health state improved from "permanent ventilation" to "walking". The utility of children patients with Type II and III SMA derived from EQ-5D-Y-3L ranged from 0.33 to 0.82 while that derived from CHU9D ranged from 0.46 to 0.75. The utility of adult patients with Type II and III SMA measured by EQ-5D-3L ranged from 0.30 to 0.83.

Conclusion

The better health states the patients with SMA were in, the higher were the HSUV. The utilities derived from population with different age and disease subtypes were not statistically different when patients with SMA were in the same health states. We recommend further studies on the Chinese specific value set for EQ-5D-Y-3L and other PBMs for children to derive more robust utility data.

Neuronal-microglial liver X receptor β activating decrease neuroinflammation and chronic stress-induced depression-related behavior in mice

Depression is accompanied by excessive neuroinflammation. Liver X receptor β (LXRβ) has been reported as a newly emerging target that exerts systemic and organic inflammation modulation. However, the modulatory mechanism in alleviating neuroinflammation are far from being revealed. In the current study, depression-related behaviors in mice were induced by chronic unpredictable mild stress (CUMS) and corticosterone (CORT) drinking. Mice received either TO901317, PLX-5622 and intra- bilateral basolateral amygdale (BLA) injection of rAAV9-hSyn-hM3D(Gq)-eGFP to activate LXRβ, eliminate microglia and pharmacogenetic activate neurons in BLA, respectively, followed by behavioral tests. Microglial pro-inflammatory and pro-phagocytic activation, as well as nuclear factor-κB (NF-κB) signaling pathway, NLRP3 inflammasome activation and interleukin-1β (IL-1β) release in BLA were investigated. Moreover, pro-inflammatory activation of BV2 cells-induced by CORT with or without TO901317 was detected. Neuroinflammation indicated by IL-1β release was measured in a co-culture system of HT22-primary microglia with or without TO901317. Our results indicated that chronic stress induced depression-related behaviors, which were accompanied with microglial pro-inflammatory and pro-phagocytic activation, as well as NF-κB signaling pathway and NLRP3 inflammasome activation in BLA. Accordingly, pharmacological activation of LXRβ inhibited microglial pro-inflammatory and pro-phagocytic activation, as well as NF-κB signaling pathway and NLRP3 inflammasome activation, and IL-1β release both in vivo and in vitro. Finally, both elimination of microglia and pharmacogenetic activation of neurons in BLA protected mice from chronic stress-induced depression-related behavior. Collectively, pharmacological activation of neuronal-microglial LXRβ alleviates depression-related behavior by modulating excessive neuroinflammation via inhibiting NF-κB signaling pathway and NLRP3 inflammasome activation.

Adaptive synapse-based neuron model with heterogeneous multistability and riddled basins

Biological neurons can exhibit complex coexisting multiple firing patterns dependent on initial conditions. To this end, this paper presents a novel adaptive synapse-based neuron (ASN) model with sine activation function. The ASN model has time-varying equilibria with the variation of externally applied current and its equilibrium stability involves transitions between stable and unstable points through fold and Hopf bifurcations, resulting in complex distributions of attractive regions with heterogeneous multi-stability. Globally coexisting heterogeneous behaviors are studied by bifurcation diagram, phase portrait, dynamical distribution, and basin of attraction. The results show that the number of coexisting heterogeneous attractors can be up to 12, but for a simple neuron model, such a large number of coexisting heterogeneous attractors has not been reported in the relevant literature. Most interestingly, the ASN model also has riddled-like complex basins of attraction and four illustrative examples are depicted by the phase portraits with small changes of the initial conditions. Besides, the ASN model is implemented using a simple microcontroller platform, and various heterogeneous coexisting attractors are acquired experimentally to validate the numerical results.

Defective autophagy triggered by arterial cyclic stretch promotes neointimal hyperplasia in vein grafts via the p62/nrf2/slc7a11 signaling pathway

Autophagy is an adaptation mechanism to keep cellular homeostasis, and its deregulation is implicated in various cardiovascular diseases. After vein grafting, hemodynamic factors play crucial roles in neointimal hyperplasia, but the mechanisms are poorly understood. Here, we investigated the impacts of arterial cyclic stretch on autophagy of venous smooth muscle cells (SMCs) and its role in neointima formation after vein grafting. Rat jugular vein graft were generated via the 'cuff' technique. Autophagic flux in venous SMCs is impaired in 3-day, 1-week and 2-week grafted veins. 10%-1.25 Hz cyclic stretch (arterial stretch) loaded with FX5000 stretch system on venous SMCs blocks cellular autophagic flux in vitro and shows no significant impact on activity of mTORC1 and AMPK. Microtubule depolymerization but not lysosome dysfunction nor autophagosome/amphisome-lysosomal membrane fusion blockade is involved in the impairment of autophagic flux. Microtubule stabilization, induced by paclitaxel treatment and external stents intervention respectively, restores venous SMC autophagy and ameliorates neointimal hyperplasia in vivo. Moreover, autophagy impairment causes accumulation of the cargo receptor p62, which sequesters keap1 to p62 aggregates and results in the stabilization and nuclear translocation of nrf2 to modulate its target antioxidative gene SLC7A11. p62 silencing abrogates the increases of nrf2 and slc7a11 protein expression, glutathione level and venous SMC proliferation triggered by arterial cyclic stretch in vitro, and further hinders nrf2 nuclear translocation, reduces neointimal thickness after vein grafting in vivo. p62 (T349A) mutation also inhibited venous SMC proliferation and alleviated neointimal formation in vivo. These findings suggest that stabilization of microtubules to rescue autophagic flux or direct silencing of p62 are potential therapeutic strategies for neointimal hyperplasia.

Sparse Regularized Optimal Transport with Deformed q-Entropy

Optimal transport is a mathematical tool that has been a widely used to measure the distance between two probability distributions. To mitigate the cubic computational complexity of the vanilla formulation of the optimal transport problem, regularized optimal transport has received attention in recent years, which is a convex program to minimize the linear transport cost with an added convex regularizer. Sinkhorn optimal transport is the most prominent one regularized with negative Shannon entropy, leading to densely supported solutions, which are often undesirable in light of the interpretability of transport plans. In this paper, we report that a deformed entropy designed by q-algebra, a popular generalization of the standard algebra studied in Tsallis statistical mechanics, makes optimal transport solutions supported sparsely. This entropy with a deformation parameter q interpolates the negative Shannon entropy (q=1) and the squared 2-norm (q=0), and the solution becomes more sparse as q tends to zero. Our theoretical analysis reveals that a larger q leads to a faster convergence when optimized with the Broyden-Fletcher-Goldfarb-Shanno (BFGS) algorithm. In summary, the deformation induces a trade-off between the sparsity and convergence speed.

Surface Bandgap Engineering of Nanostructured Implants for Rapid Photothermal Ion Therapy of Bone Defects

Bone defects are seriously threatening the health of orthopedics patients and it is difficult for implants to accelerate bone regeneration without using bone growth factors. Herein, a fast photothermal ion therapeutic strategy is developed based on the bandgap engineering of nanostructured TiO₂ through (Si/P)-dual elemental doping by micro-arc oxidation treatment of titanium implants. The (Si/P)-dual doping can tune the surface bandgap structure of TiO₂ by decreasing bandgap and broadening valence band simultaneously, which is confirmed by density functional theory calculations. It not only endows the implants with a mildly photothermal effect under near-infrared (NIR) light irradiation, but also creates an (Si/P) ion-rich microenvironment around the implants. This photothermal ion microenvironment can tune the behaviors of osteoblasts by promoting p38/Smad and ERK signaling pathways of osteoblasts, thus significantly upregulating the expression of osteogenesis genes by the synergistic action of mild photothermal stimulation and increased release of Si/P ions. The in vivo results are also in good agreement with in vitro tests, i.e., under NIR light irradiation, the photothermally responsive TiO₂ enhances the bone formation and osteointegration with implants. Therefore, this kind of photothermal ion strategy is a promising remote and noninvasive therapeutic mode for promoting bone regeneration of Ti implants.

Invasive treatment of persistent postoperative chylothorax secondary to thoracic duct variation injury: Two case reports and literature review

RATIONALE

Postoperative chylothorax is a rare complication after pulmonary resection. Thoracic duct variations may play a key role in postoperative chylothorax occurrence and make treatment difficult. No studies in the literature have reported the successful treatment of chylothorax second to thoracic duct variation by lipiodol-based lymphangiography.

PATIENT CONCERNS

A 63-year-old male and a 28-year-old female with primary lung adenocarcinoma were treated by video-assisted thoracoscopic cancer resection, and suffered postoperative chylothorax. Conservative treatment was ineffective, including nil per os, persistent thoracic drainage, fatty food restriction, and somatostatin administration.

DIAGNOSIS

Postoperative chylothorax.

INTERVENTIONS

Patients received lipiodol-based lymphangiography under fluoroscopic guidance. Iatrogenic injuries were identified at thoracic duct variations, including an additional channel in case 1 and the lymphatic plexus instead of the thoracic duct in case 2.

OUTCOMES

Thoracic duct variations were identified by lipiodol-based lymphangiography, and postoperative chylothorax was successfully treated by lipiodol embolizing effect.

LESSONS

Thoracic duct variations should be considered after the failure of conservative treatment for postoperative chylothorax secondary to pulmonary resection. Lipiodol-based lymphangiography is valuable for identifying the thoracic duct variations and embolizing chylous leakage.

First report of ring spot disease on sugarcane caused by Curvularia ischaemi in China

Sugarcane (Saccharum spp. hybrids) is an economically important crop widely cultivated in the south of China, such as Guangxi, Yunnan, and Guangdong for use as the main raw material of the sugar and alcohol industry (Li and Yang et al. 2015). In July 2021, the sugarcane cultivar GT94-119 planted in Guangzhou (113° 22' E, 23° 09' N), Guangdong province, China showed red to brown ring lesions on the older leaves (Fig.1A). Multiple disease spots gradually merged, eventually leading to leaf wilting and necrosis was observed. Symptoms were present on 11% and 18% of plants in the two observation areas, respectively; however, since symptoms were primarily noted on older leaves, the yield effect was limited. Symptomatic leaf pieces (0.5 × 0.5 cm) were collected and surface-sterilized for 10s in 75% ethanol, followed by 10% NaClO for 30s, washed 3 times with distilled sterile water, blotted dry with sterile tissue, and plated on potato dextrose agar (PDA). The dishes were placed in an incubator at 28 ℃ for 72 h, and the resulting mycelia were transferred to new PDA to obtain pure cultures. The fungal colonies were brownish green, with concentric rings and radial edges (Fig.1B). The hyphae were transparent, separated, and apical hypertrophy (Fig.1C). Conidia were produced within 14 days, ranging in size from 20.0 to 25.5 × 2.5 to 4.5 µm (n=50), upright or curved spindle shaped, clustered or isolated at the end of the conidia stem, with a diaphragm (Fig.1D and E). Eleven isolates purified on PDA were obtained. Morphological identification showed that six of the 11 isolates were similar in morphology and preliminarily identified as Curvularia ischaemi (Mckenzie et al., 1981). One of the above six isolates, named GZ01, was selected for molecular identification. Following the CTAB method for extracting total DNA, the internal transcribed spacer (ITS) region and glyceraldehyde-3-phosphate dehydrogenase (GAPDH) region were amplified and sequenced by using ITS4/ITS5 primer (White et al. 1990) and GDF/GDR primer (Damm et al. 2012), respectively. The amplified sequence was compared to nucleotide sequence reported in GenBank using BLAST search, with 98.49% similarity to Curvularia ischaemi strain CBS 630.82 (GenBank MH861533.1) and 99.81% similarity to the GAPDH sequence of Curvularia ischaemi (GenBank LT715790.1). The phylogenetic tree based on sequence data for the two genes mentioned above and other reference sequences indicated that our isolate (GZ01) was closely identified as Curvularia ischaemi (Fig.2). To obtain a spore suspension of GZ01 for pathogenicity test, spores were cultured (28℃) in PDA for 14 days, washed with sterilized distilled water, and filtered with cheese cloth. The pathogenicity test was carried out in a greenhouse at 28℃ using a spore suspension (1×104 mL-1) and distilled water as inoculation sources. Healthy seedlings of the susceptible sugarcane cultivar LC05-136 were inoculated at the 5 to 6 leaf stage. The spore suspension was evenly sprayed on nine seedlings until the leaves were fully wet, additional nine seedlings were evenly sprayed with the same volume of sterile water to serve as the control. At 14 days after inoculation, all inoculated plants with suspension showed the same symptoms as observed in the greenhouse (Fig.1F), while all plants inoculated with sterile water showed no symptoms. Curvularia ischaemi was again isolated from the infected leaves with symptoms. The results confirm Koch's postulates. Curvularia ischaemi has been previously reported to cause disease on Batiki blusgrass (Ischaemum indicum) (Mckenzie et al. 1981). To our knowledge, this is the first report of C. ischaemi causing ring spot disease on sugarcane in China. For different ecological types of sugarcane areas, whether this disease will occur in the early stage of sugarcane growth and have an impact on sugarcane yield is worth further investigation.

The state of the art in beyond 5G distributed massive multiple-input multiple-output communication system solutions

Beyond fifth generation (5G) communication systems aim towards data rates in the tera bits per second range, with improved and flexible coverage options, introducing many new technological challenges in the fields of network architecture, signal pro- cessing, and radio frequency front-ends. One option is to move towards cell-free, or distributed massive Multiple-Input Multiple-Output (MIMO) network architectures and highly integrated front-end solutions. This paper presents an outlook on be- yond 5G distributed massive MIMO communication systems, the signal processing, characterisation and simulation challenges, and an overview of the state of the art in millimetre wave antennas and electronics.

[Changes in the functional connectivity of the thalamus in insomniac ED patients with yin deficiency and fire syndrome: An exploration based on functional MRI findings]

OBJECTIVE

To investigate the changes of nocturnal erectile function and functional connectivity (FC) of bilateral thalami in insomniac ED patients with yin deficiency and fire syndrome.

METHODS

We enrolled 30 healthy controls and 87 ED patients with yin deficiency and fire syndrome, 41 with and the other 46 without insomnia. Using IIEF-5 and Pittsburgh Sleep Quality Index (PSQI), we evaluated the nocturnal erectile function and sleep quality of the patients and compared the clinical indicators between the two groups. Then we collected and preprocessed the MRI data on the cerebral function of the 15 ED patients with insomnia, another 15 without insomnia and the 30 healthy controls. With the thalamus as the region of interest (ROI), we calculated and compared the FC values of brain regions between the ED patients (with or without insomnia) and healthy controls, and corrected the results for multiple comparisons using the AlphaSim method.

RESULTS

Compared with the patients without insomnia, those with insomnia had a lower duration of erectile episode and tumescence and rigidity activity units in the tip of the penis. With the left thalamus as the ROI, the right middle frontal gyrus and inferior parietal were shown to be the differential brain regions among the three groups. Compared with the healthy controls, the patients without insomnia showed decreased FC values between the left thalamus and left orbital part of the middle frontal gyrus, insula, putamen and right thalamus, while those with insomnia exhibited decreased FC values between the left thalamus and bilateral middle frontal gyri, inferior parietal, calcarine fissure, parahippocampal gyrus, left superior parietal gyrus, right precuneus and inferior temporal gyrus, and they also exhibited decreased FC values between the left thalamus and middle frontal gyrus in comparison with those without insomnia. With the right thalamus as the ROI, the left medial superior frontal gyrus, bilateral calcarine fissure and right thalamus were found to be the differential brain regions among the three groups. Compared with the healthy controls, the patients without insomnia showed decreased FC values between the right thalamus (including the right thalamus itself) and left medial orbital superior frontal gyrus, superior temporal gyrus (temporal pole), middle temporal gyrus, insula and right orbital part of the inferior frontal gyrus, while those with insomnia manifested decreased FC values between the right thalamus and middle frontal gyrus, inferior parietal, left superior parietal gyrus and calcarine fissure, and they also manifested increased FC values between the right thalamus and medial superior frontal gyrus, and decreased FC values between the right thalamus and left calcarine fissure in comparison with those without insomnia.

CONCLUSION

ED patients with insomnia have more serious clinical symptoms, with FC changes in the thalamocortical loop, which might be the pathological mechanisms of ED with insomnia.