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Enterocytozoon hepatopenaei (EHP) is a newly emerged pathogen reported to retard the growth of cultured shrimp, including the tiger shrimp Penaeus monodon and the white shrimp Penaeus vannamei. Shrimp culture in Jiangsu Province in China has experienced explosive development in recent years, but this expansion has also increased the threat of retardation of shrimp growth. In this study, we investigated P. vannamei culture in earthen and greenhouse ponds in Jiangsu Province for EHP infection using light and transmission electron microscopy, histopathological analysis and polymerase chain reaction (PCR). Squash analysis of hepatopancreas showed a large number of EHP in heavily infected shrimp. Acidophilic inclusions and spore aggregations were observed in epithelial cells of hepatopancreas. Transmission electron microscopy revealed early- and late-stage plasmodia as multiple nuclei as well as mature spores measuring 1.1 μm × 0.7 μm, findings that are typical of the family Enterocytozoonndiae. A PCR product of ~ 779 bp was yielded and showed 97–99% identity with the EHP reported from Vietnam, Thailand, Latin America and India. PCR screening results showed that the prevalence of EHP in growth-retarded shrimp was relatively high (93%) in greenhouse ponds; this was approximately equal to that in growth-retarded shrimp in earthen ponds (91.3%). However, the prevalence of EHP in seemingly normal shrimp in greenhouse ponds (10.6%) was much lower than that in seemingly normal shrimp in earthen ponds (72.4%). This study showed that the prevalence of EHP in shrimp in Jiangsu Province was relatively high, whereas culturing shrimp in greenhouses appeared to limit the rate of EHP infection.

In search of simple approaches to rationally modulate the single-molecule magnet behaviors in polynuclear lanthanide clusters, a new system containing two structurally closely related rhombus-shaped Dy4 clusters, Dy4(tmhd)4L6(μ3-OH)2·5CH3CN (1) and Dy4(acac)4L6(μ3-OH)2 (2) (HL = 5-(4-ethyoxylbenzylidene)-8-hydroxylquinoline, Htmhd = 2,2,6,6-tetramethyl-3,5-heptanedione and Hacac = acetylacetonate), have been obtained by employing two dysprosium β-diketonate salts to react with a bidentate Schiff base ligand (HL). The two Dy4 clusters have similar structures and possess a structure in which four Dy3+ ions remain in a perfect plane with a rhombus-shaped geometric construction. Dynamic magnetic analysis revealed different single-molecule magnet (SMM) behaviors occurs in 1 and 2. Under zero direct-current (dc) field, 1 displays typical SMMs behavior with ΔE/kB = 39.6 K and τ0 = 2.1 × 10−6 s. However, for 2, a peculiar feature of the χ″ versus temperature curves is that more than two peaks that are frequency-dependent are revealed, indicating the occurrence of multifold relaxation processes that lead to two ΔE/kB (31.3 K and 81.6 K) and pre-exponential factors (τ0 = 3.1 × 10−6 s, τ0 = 2.2 × 10−7 s).

Cloud gateways are fundamental components of a cloud platform, where various network functions (e.g., L4/L7 load balancing, network address translation, stateful firewall, and SYN proxy) are deployed to process millions of connections and billions of packets. Providing high-performance and failure-resilient packet processing with a scalable traffic management mechanism is crucial to ensuring the quality of service of a cloud provider, and hence is of great importance. Many network functions nowadays are implemented in software with commodity servers for low cost and high flexibility. However, existing software-based network function frameworks oftentimes provide part of these features, while cannot satisfy all three requirements above simultaneously. To address these issues, in this paper, we introduce TRIPOD, a novel network function framework specialized for cloud gateways. Having identified the fundamental limitations of loosely coupling traffic , processing logic and state , TRIPOD jointly manages these three elements with the unique characteristics of cloud gateways, which is enabled by a simple, efficient traffic processing mechanism , and a high performance state management service . Adopting several effective techniques and optimizations, TRIPOD is able to achieve scalable traffic management ( high performance (reducing 40% of latency compared with state of the art) and failure resilience (similar packet/connection loss rate compared to state of the art), with reasonable overheads (less than 10% of the workload traffic) even under an extremely heavy traffic, making it a good fit for cloud gateways.

We propose a scheme of controlled cyclic quantum teleportation of an arbitrary two-qubit entangled state by using a ten-qubit entangled state. In our scheme, Alice can teleport an arbitrary two-qubit entangled state to Bob, Bob can teleport an arbitrary two-qubit entangled state to Charlie and at the same time Charlie can teleport an arbitrary two-qubit entangled state to Alice with the help of the controller David.

With the rapid development of information science and the Internet of Things (IoT), people have an unprecedented ability to collect and share data, especially the various sensors as the entrance to data collection. At the same time, edge computing has begun to grasp the public's attention because of the difficult challenges of massive equipment access and massive data. Although such large amount of data provides a huge opportunity for information discovery, the privacy leakage has also been concerned. When the data publisher publishes various statistics, the attacker can obtain the statistical rules in the data by simply using the query function without contacting the user or the data publisher. Therefore, how to protect the data privacy of statistical information has become the focus of attention. In this paper, we proposed a partitioned histogram data publishing algorithm based on wavelet transform. Firstly, a partitioning algorithm based on greedy algorithm is used to obtain a better partition structure. Then, we use wavelet transform to add noise. Finally, for the authenticity and usability of histogram, we get the reductive original histogram structure. On the one hand, our algorithm can reduce the complexity of wavelet tree constructed by wavelet transform. On the other hand, the query noise changes from linear growth to multiple logarithm growth. So the accuracy of histogram counting query is improved. Experiments show that our algorithm has the significant improvement in data availability.

Two new Gd4 cages based on 8-hydroxyquinoline Schiff base ligand and β-diketonate auxiliary ligands have been obtained and magnetically characterized. The X-ray structural analysis exhibit that both cages 1 and 2 contain one Gd4 molecule with a rhombus-shaped arrangement, and each GdIII ion of them is located in a distorted square-antiprismatic coordination sphere. Magnetic properties measurement indicate that weak antiferromagnetic interactions were existed between the GdIII ions in 1 and 2, and they display magnetic refrigeration with −ΔSm = 21.95 J kg−1 K−1 for 1(ΔH = 7 T and T = 2.0 K) and −ΔSm = 15.02 J kg−1 K−1 for 2 (ΔH = 7 T and T = 3.0 K).

Fluoride is becoming an ineluctable environmental pollutant and its longterm exposure would cause fluorosis and irreversible brain damage, but the molecular mechanisms remain far from fully understood. In the present study, we firstly evaluated the glycogen synthase kinase 3β (GSK-3β)/β-catenin pathway in the hippocampus of rats exposed to fluoride, given the well-established role of GSK-3β/β-catenin pathway in neuronal death and survival. Our data showed that sustained exposure to 50 mg/L and 100 mg/L NaF in drinking water dose-dependently induced neuronal loss and apoptosis in rat hippocampus. Neurogenesis was also weakened by fluoride administration in the hippocampal dentate gyrus region. Additionally, the synaptic markers, synaptophysin (SYP) and post-synaptic density 95 (PSD95) protein levels, were decreased by 100 mg/L NaF treatment, whereas 50 mg/L NaF only reduced SYP expression, indicating a compromised synaptic function. We further demonstrated that NaF, especially the higher dose, induced GSK-3β activity, with decreased inactive phosphorylated GSK-3β levels and increased GSK-3β, the active form of the kinase. Correspondingly, downstream β-catenin signaling was undermined by NaF treatment as evidenced by the fact that both two doses of NaF decreased nucleus β-catenin status and the higher dose of NaF also reduced cytoplasmic β-catenin protein expression. Taken together, the present study firstly showed the aberrant changes of GSK-3β/β-catenin signaling in the fluoride-exposed brain, highlighting the involvement of GSK-3β/β-catenin signaling in the fluoride-induced neurotoxicity.

Tremendous efforts have been made in the last decade to advance cutting-edge MRI technology in pursuit of mapping structural connectivity in the living human brain with unprecedented sensitivity and speed. The first Connectom 3T MRI scanner equipped with a 300 mT/m whole-body gradient system was installed at the Massachusetts General Hospital in 2011 and was specifically constructed as part of the Human Connectome Project. Since that time, numerous technological advances have been made to enable the broader use of the Connectom high gradient system for diffusion tractography and tissue microstructure studies and leverage its unique advantages and sensitivity to resolving macroscopic and microscopic structural information in neural tissue for clinical and neuroscientific studies. The goal of this review article is to summarize the technical developments that have emerged in the last decade to support and promote large-scale and scientific studies of the human brain using the Connectom scanner. We provide a brief historical perspective on the development of Connectom gradient technology and the efforts that led to the installation of three other Connectom 3T MRI scanners worldwide - one in the United Kingdom in Cardiff, Wales, another in continental Europe in Leipzig, Germany, and the latest in Asia in Shanghai, China. We summarize the key developments in gradient hardware and image acquisition technology that have formed the backbone of Connectom-related research efforts, including the rich array of high-sensitivity receiver coils, pulse sequences, image artifact correction strategies and data preprocessing methods needed to optimize the quality of high-gradient strength diffusion MRI data for subsequent analyses. Finally, we review the scientific impact of the Connectom MRI scanner, including advances in diffusion tractography, tissue microstructural imaging, ex vivo validation, and clinical investigations that have been enabled by Connectom technology. We conclude with brief insights into the unique value of strong gradients for diffusion MRI and where the field is headed in the coming years.

Selection of the treatments most likely to combat a patient’s tumor is a central aim of precision oncology. We are currently developing a functional precision oncology program at the University of Utah and Huntsman Cancer Institute that combines the multi-omic characterization of a patient's tumor with the functional screening of relevant drug candidates in patient-derived organoid tumor models to identify which drugs are uniquely capable of combating the patient’s cancer. Here we present our model-based approach for utilizing the multi-omic tumor data to computationally predict the patient’s response to each drug. In this approach, we first identify the genomic and transcriptomic vulnerabilities of the tumor as genes harboring somatic DNA mutations or copy number changes (from paired tumor/normal WGS/WES DNA sequencing data), as well as genes whose expression levels have been significantly altered in the tumor (based on bulk or single-cell RNA sequencing data). Second, using targeting information from drug-gene interaction databases (DGIdb) we compile a list of genes targeted by each drug relevant in the patient’s treatment. Third, we utilize gene interaction database knowledge (KEGG) to construct a gene interaction graph to link each drug’s gene targets with all of the tumor’s vulnerability genes. We then identify all gene interaction paths connecting specific drug target genes with specific vulnerability genes; and score each path and combine all path-specific scores for the target-vulnerability gene pair. Subsequently, we further combine all pairwise scores across all drug target genes and all tumor vulnerability genes and determine the statistical significance of the resulting score by sampling the background distribution of such scores across random drugs, target genes, and vulnerability genes. We have applied our algorithm to predict drug response in advanced breast cancer patients as well as using publicly available tumor cell line data (GDSC2). We have found a high level of concordance between our computational prediction and organoid/cell line screening results, clearly separating sensitive and non-sensitive models. Using Bayesian probability, we compare the drug-specific score distributions of sensitive and non-sensitive models and are able to identify sensitive cell lines/patients with high accuracy. By encapsulating available information on direct gene-gene interactions, the drug’s direct gene targets and the collected omic vulnerabilities of the tumor, our model is not only capable of predicting sensitivity to both targeted and chemotherapy agents, but can also provide a mechanistic understanding for the targeting of the tumor. Our approach will be validated and fine-tuned on a large cohort of breast and brain cancer patients as well as patient PDX models, interrogating gene-target interactions to identify novel relevant target genes/pathways. Citation Format: Szabolcs Tarapcsak, Yi Qiao, Xiaomeng Huang, Tony Di Sera, Matthew H. Bailey, Bryan E. Welm, Alana L. Welm, Gabor T. Marth. Model-based cancer therapy selection by linking tumor vulnerabilities to drug mechanism [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 2723.

The intestinal microbiota of the Pacific white shrimp Litopenaeus vannamei during Enterocytozoon hepatopenaei (EHP) infection was investigated by 16S rRNA gene-based analysis. The results showed that bacterial diversity in the intestine of L. vannamei was high, but it decreased with increasing severity of EHP infection. The relative abundances of the phyla Planctomycetes, Actinobacteria and Acidobacteria decreased significantly with a decrease in body size or EHP infection severity (P 0.05). The most abundant genera were Pseudomonas, Methylobacterium, Bradyrhizobium, Bacteroides, Vibrio, Prevotella and so on. In addition, the relative abundances of some bacteria, such as Pseudomonas, Bradyrhizobium, Bacteroides and Vibrio, increased significantly with a decrease in body size or EHP infection severity (P 0.05). These findings suggest that changes in the intestinal microbiota occur depending on the severity of EHP infection.

AIM: To explore the effects of overnight orthokeratology lens and conventional frame glasses on the myopic diopter, uncorrected visual acuity and ocular parameters of myopia adolescent. METHODS: Totally 102 cases of(204 eyes)of adolescent myopia patients were randomly divided into observation group and control group with 51 cases(102 eyes)in each group during April 2014 to April 2017. Control group was only given conventional frame glasses, and observation group was given overnight orthokeratology lens. The myopic diopter and uncorrected visual acuity(UCVA)before wearing glasses and at 1wk, 1, 3, 6mo and 1a of wearing glasses, and the ocular parameters before wearing glasses and at 1a after wearing glasses were observed in the two groups, and the occurrence of complications was compared between the two groups. RESULTS: After 1wk to 1a of wearing glasses, the myopic diopter in observation group was gradually decreased(PP>0.05), but there was statistically significant difference between-groups at different time points(PPPP>0.05), and the axial length in control group was significantly longer than that before wearing glasses and that in observation group(PP>0.05).CONCLUSION: Overnight orthokeratology lens for adolescent myopia can effectively correct the myopic diopter, and improve the uncorrected visual acuity. It is less harmful to the eyes and less complications, and it is safe and reliable in clinical application.

The authors propose an integrable spin-1 Heisenberg chain with a boundary spin-1/2 magnetic impurity.

With the rapid development of information technology, internet of things, cloud computing, digital networks and 5G have become an indispensable part of our life. Due to the development of these cutting-edge digital technologies, smart cities now have become a reality. During the development of smart cities, many different sensing devices of the cities would generate lots of data. To smoothly use the massive data, the paradigm of cloud computing will be deployed by smart cities, these data will be efficiently stored and processed by the cloud servers. However, the security of data in smart cities should be guaranteed, especially for the privacy protection of data. Aiming at securely managing cloud data in smart cities, this paper proposes a set of secure cloud data computing protocols for set operations based on the Paillier encryption system. For the rational numbers which are very common in smart cities, we design a coding technology to realize the secure homomorphic computation of them. We also verify the security and correctness of our protocols through rigorous mathematical proof, and demonstrate the efficiency of our solutions by performance analysis.

This paper describes a highly-efficient and compact GaNFET-based power amplifier for use in miniaturized low-field nuclear magnetic resonance (NMR) spectrometers and magnetic resonance imaging (MRI) scanners based on CMOS application-specific integrated circuit (ASICs). The amplifier utilizes a H-bridge topology with bootstrap driver and can work at frequencies up to several MHz. It also includes a GaNFET-based Q-switch to damp the coil after each RF pulse. Tests with a tuned probe at 2 MHz show > 90% efficiency while delivering ~350 W of power to the coil, and a ring-down time of ~4 μs.

With increasing utilization of comprehensive genomic data to guide clinical care, anticipated to become the standard of care in many clinical settings, the practice of diagnostic medicine is undergoing a notable shift. However, the move from single-gene or panel-based genetic testing to exome and genome sequencing has not been matched by the development of tools to enable diagnosticians to interpret increasingly complex genomic findings. A new paradigm has emerged, where genome-based tests are often evaluated by a large multi-disciplinary collaborative team, typically including a diagnostic pathologist, a bioinformatician, a genetic counselor, and often a subspeciality clinician. This team-based approach calls for new computational tools to allow every member of the clinical care provider team, at varying levels of genetic knowledge and diagnostic expertise, to quickly and easily analyze and interpret complex genomic data. Here, we present gene.iobio, a real-time, intuitive and interactive web application for clinically-driven variant interrogation and prioritization. We show gene.iobio is a novel and effective approach that significantly improves upon and reimagines existing methods. In a radical departure from existing methods that present variants and genomic data in text and table formats, gene.iobio provides an interactive, intuitive and visually-driven analysis environment. We demonstrate that adoption of gene.iobio in clinical and research settings empowers clinical care providers to interact directly with patient genomic data both for establishing clinical diagnoses and informing patient care, using sophisticated genomic analyses that previously were only accessible via complex command line tools.

Summary The kidney local microenvironment (KLM) plays a critical role in the pathogenesis of kidney fibrosis. However, the composition and regulation of a fibrotic KLM remain unclear. Through a multidisciplinary approach, we investigated the roles of the hepatocyte growth factor/c-met signaling pathway in regulating KLM formation in various chronic kidney disease (CKD) models. We performed a retrospective analysis of single-cell RNA sequencing data and determined that tubular epithelial cells and macrophages are two major cell populations in a fibrotic kidney. We then created a mathematical model that predicted loss of c-met in tubular cells would cause greater responses to injury than loss of c-met in macrophages. By generating c-met conditional knockout mice, we validated that loss of c-met influences epithelial plasticity, myofibroblast activation, and extracellular matrix synthesis/degradation, which ultimately determined the characteristics of the fibrotic KLM. Our findings open the possibility of designing effective therapeutic strategies to retard CKD., Graphical abstract, Highlights • A fibrotic kidney local microenvironment (KLM) is focal and segmental • C-met is more enriched in the distal tubule and collecting duct than in macrophages • Loss of c-met in tubular cells causes superior quick responses to simulated injury • HGF/c-met pathway determines the characteristics of a formed fibrotic KLM

Single-molecule Förster resonance energy transfer (smFRET) inherits the strategy of measurement from the effective “spectroscopic ruler” FRET and can be utilized to observe molecular behaviors with relatively high throughput at nanometer scale. The simplicity in principle and configuration of smFRET make it easy to apply and couple with other technologies to comprehensively understand single-molecule dynamics in various application scenarios. Despite its widespread application, smFRET is continuously developing and novel studies based on the advanced platforms have been done. Here, we summarize some representative examples of smFRET research of recent years to exhibit the versatility and note typical strategies to further improve the performance of smFRET measurement on different biomolecules.

To investigate the clinical features and prognostic factors of acute lymphoblastic leukemia (ALL) children with P2RY8-CRLF2 gene rearrangement.A total of 108 children with B-cell ALL (B-ALL) were diagnosed and systematically treated according to Chinese Children's Leukemia Group (CCLG) -ALL 2008 in our hospital from January 2016 to December 2016. The 108 patients were divided into two groups according to the result of mutiplex polymerase chain reaction: group with P2RY8-CRLF2 gene rearrangement and group without P2RY8-CRLF2 gene rearrangement. The ALL children with P2RY8-CRLF2 gene rearrangement were all treated by CCLG-ALL 2008 high-risk group (HR) regimens, and the ALL children in group without P2RY8-CRLF2 gene rearrangement received different intensity chemotherapy according to clinical risk classification.Five (4 male and 1 female) out of 108 patients with B-ALL had P2RY8-CRLF2 gene rearrangement. In the 5 B-ALL patients with P2RY8-CRLF2 gene rearrangement, the median age of the was 4 (2-6) years old and the median WBC count was 26.2 (2.46-525.1)×10The early treatment response and prognosis of ALL children with P2RY8-CRLF2 gene rearrangement are worse, and more effective protocol is needed for this subtype patients.P2RY8-CRLF2重排的急性淋巴细胞白血病儿童的临床特征及预后分析.探讨P2RY8-CRLF2重排急性淋巴细胞白血病（ALL）儿童的临床特征及预后.2016年1-12月确诊并按照中国儿童白血病协作组（CCLG）-ALL 2008（CCGL-ALL 2008）方案规范治疗的108例B细胞型ALL（B-ALL）患儿，根据有无P2RY8-CRLF2重排分为P2RY8-CRLF2重排组和P2RY8-CRLF2阴性组。P2RY8-CRLF2重排组患儿均接受CCLG-ALL 2008高危组（HR）方案治疗，P2RY8-CRLF2阴性组患儿则按临床危险度分型接受不同强度化疗.共检出P2RY8-CRLF2重排B-ALL患儿5例（4.6%），男4例，女1例，初诊中位年龄4（2-6） 岁，初诊白细胞计数中位数26.12（2.46-525.1）×10伴有P2RY8-CRLF2融合基因阳性的ALL儿童早期治疗反应较差，预后不良，仍需要探索更有效的治疗方法.

Internet can break through the limitation of time and space, and provide more possibilities for education under the background of the world epidemic situation. Therefore, Internet has become one of the most important means for education and Internet+ Education will become the new normal of education. Based on the above analysis, this paper proposes the psychology self-service platform for college students constructed on the basis of Internet, allocates corresponding psychological resources for students with different psychological demands and provides psychological supports for students at the post-epidemic era. In this way, it improves the psychological health level of the students and progress the development of the education of university psychological health.

Model systems that recapitulate the complexity of human tumors and the reality of variable treatment responses are urgently needed to better understand cancer biology and to develop more effective cancer therapies. Here we report development and characterization of a large bank of patient-derived xenografts (PDX) and matched organoid cultures from tumors that represent some of the greatest unmet needs in breast cancer research and treatment. These include endocrine-resistant, treatment-refractory, and metastatic breast cancers and, in some cases, multiple tumor collections from the same patients. The models can be grown long-term with high fidelity to the original tumors. We show that development of matched PDX and PDX-derived organoid (PDxO) models facilitates high-throughput drug screening that is feasible and cost-effective, while also allowing in vivo validation of results. Our data reveal consistency between drug screening results in organoids and drug responses in breast cancer PDX. Moreover, we demonstrate the feasibility of using these patient-derived models for precision oncology in real time with patient care, using a case of a triple negative breast cancer with early metastatic recurrence as an example. Our results uncovered an FDA-approved drug with high efficacy against the models. Treatment with the PDxO-directed therapy resulted in a complete response for the patient and a progression-free survival period more than three times longer than her previous therapies. This work provides valuable new methods and resources for functional precision medicine and drug development for human breast cancer.Graphical Abstract

Aim - To explore the role and possible mechanism of KNTC1 gene in the development of bladder cancer. Methods - The expression level of KNTC1 in bladder cancer tissues and adjacent tissues was detected by immuno-histochemistry. Mann-Whitney U, Spearman, and Kaplan-Meier analyses were used to analyze the correlation between KNTC1 expression level and various characteristics of bladder cancer cases. KNTC1 was knocked down by RNA interference to detect the proliferation, apoptosis, cell cycle, migration, and in vivo tumorigenesis of bladder cancer cells. Human apoptosis antibody array and Western blot were used to detect the expression level changes of related proteins after KNTC1 knockdown to explore the possible mechanism. Results - KNTC1 was highly expressed in bladder cancer tissues and was related to the pathological grade and overall survival rate of bladder cancer. Knockdown of KNTC1 can inhibit the proliferation, migration, and in vivo tumorigenesis of bladder cancer cells and promote apoptosis. KNTC1 knockdown changes the levels of many proteins in bladder cancer cells, including Caspase 3, Fas, p-Akt, CDK6, PIK3CA, and MAPK9. Conclusion - KNTC1 plays a crucial role in the development of bladder cancer, and our findings provide evidence for its use as a therapeutic target.

Enterocytozoon hepatopenaei (EHP) infection has become a significant threat in shrimp farming industry in recent years, causing major economic losses in Asian countries. As there are a lack of effective therapeutics, prevention of the infection with rapid and reliable pathogen detection methods is fundamental. Molecular detection methods based on polymerase chain reaction (PCR) and loop-mediated isothermal amplification (LAMP) have been developed, but improvements on detection speed and convenience are still in demand. The isothermal recombinase polymerase amplification (RPA) assay derived from the recombination-dependent DNA replication (RDR) mechanism of bacteriophage T4 is promising, but the previously developed RPA assay for EHP detection read the signal by gel electrophoresis, which restricted this application to laboratory conditions and hampered the sensitivity. The present study combined fluorescence analysis with the RPA system and developed a real-time RPA assay for the detection of EHP. The detection procedure was completed in 3–7 min at 39°C and showed good specificity. The sensitivity of 13 gene copies per reaction was comparable to the current PCR- and LAMP-based methods, and was much improved than the RPA assay analyzed by gel electrophoresis. For real clinical samples, detection results of the real-time RPA assay were 100% consistent with the industrial standard nested PCR assay. Because of the rapid detection speed and the simple procedure, the real-time RPA assay developed in this study can be easily assembled as an efficient and reliable on-site detection tool to help control EHP infection in shrimp farms.

To investigate the clinical effect and safety of Chinese Children's Leukemia Group (CCLG)-ALL 2008 (high risk group) protocol in the treatment with childhood Mixed phenotype acute leukemia (MPAL).The clinical data of 15 new diagnosed patients with MPAL treated in our hospital from January 2013 to December 2017 were retrospectively analyzed, and received CCLG-ALL 2008 (high risk group) protocol chemotherapy.One patient gave up treatment after diagnosed, and 14 children with MPAL after induction remission chemotherapy, 3 patients gave up, and 5 patients received consolidation chemotherapy, and 6 patients received allogeneic hematopoietic stem cell transplantation (allo-HSCT). The complete remission (CR) rate was 85.7% at d33 of induction remission chemotherapy. The serious adverse event and treatment-related mortality (TRM) rate was 71.4% and 14.3%, respectively. The recurrence rate was 21.4% and the median time of relapse was 12(9.7-18.4) months. Except for 4 patients who gave up treatment, the 5-year event-free survival (EFS) rate in the other 11 patients was (54.5±15.0)%. The 5 years EFS of 4 patients who received consolidation chemotherapy was significantly lower than the 6 patients who received allo-HSCT after CR (25.0%±21.7% vs 83.3%±15.2%, P=0.033).The CCLG-ALL2008 (for high-risk group) protocol in treatment of children with MPAL can get a high CR rate, but also with a high incidence of SAE. The patients received allo-HSCT after CR may have a good prognosis.CCLG-ALL 2008(高危组)方案治疗儿童混合表型急性白血病的疗效及安全性分析.总结中国儿童白血病协作组（CCLG）-ALL2008（高危组）方案治疗儿童混合表型急性白血病（MPAL）的疗效及安全性.回顾性分析2013年1月到2017年12月本院收治的15例初诊MPAL患儿的临床资料，给予CCLG-ALL 2008（高危组）方案治疗.1例诊断后即放弃治疗，14例诱导缓解治疗后，3例放弃继续治疗，5例继续规则化疗，6例接受异基因造血干细胞移植（allo-HSCT）。诱导缓解治疗第33天完全缓解（CR）率为85.7%；严重不良事件发生率71.4%，治疗相关死亡率为14.3%；复发率21.4%，复发中位时间12（9.7-18.4）个月。除了4例放弃治疗患儿，其他11例患儿5年无事件生存（EFS）率为（54.5±15.0）%；6例诱导后接受HSCT和 4例只接受巩固化疗患儿5年EFS率分别为（83.3±15.2）%和（25.0±21.7）%，差异有统计学意义（P=0.033）.儿童MPAL接受CCLG-ALL2008（高危组）方案化疗，诱导缓解率较高，但严重不良事件发生率亦高，缓解后行allo-HSCT可改善远期预后.

Supplemental material, sj-docx-2-npx-10.1177_1934578X211051801 for Chemical Constituents of Callicarpa giraldii and Their Anti-Inflammatory Activity by Qiao-Qi Yi, Zhong-Han Wu, Fan Xu and Hong-Gang Wang in Natural Product Communications

A new nonlinear integral equation (NLIE) describing the thermodynamics of the Heisenberg spin chain is derived based on the t − W relation of the quantum transfer matrices. The free energy of the system in a magnetic field is thus obtained by solving the NLIE. This method can be generalized to other lattice quantum integrable models. Taking the SU(3)-invariant quantum spin chain as an example, we construct the corre- sponding NLIEs and compute the free energy. The present results coincide exactly with those obtained via other methods previously.

This study aims to analyze the targets of the effective active ingredients of Scutellariae radix-Coptidis rhizoma drug pair (SCDP) in ulcerative colitis (UC) by network pharmacology and molecular docking and to explore the associated therapeutic mechanism. The effective active ingredients and targets of SCDP were determined from the TCMSP database, and the drug ingredient-target network was constructed using the Cytoscape software. The disease targets related to UC were searched in GeneCards, DisGeNET, OMIM, and DrugBank databases. Then, the drug ingredient and disease targets were intersected to construct a protein-protein interaction network through the STRING database. The Metascape database was used for the Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses of the predicted targets of SCDP for UC. The Autodock software was used for molecular docking between the main active ingredient and the core target to evaluate the binding ability. SCDP has 43 effective active ingredients and 134 intersection targets. Core targets included AKT1, TP53, IL-6, VEGFA, CASP3, JUN, TNF, MYC, EGFR, and PTGS2. GO functional enrichment analysis showed that biological process was mainly associated with a cytokine-mediated signaling pathway, response to an inorganic substance, response to a toxic substance, response to lipopolysaccharide, reactive oxygen species metabolic process, positive regulation of cell death, apoptotic signaling pathway, and response to wounding. KEGG enrichment analysis showed main pathway concentrations were related to pathways in cancer, AGE-RAGE signaling pathway in diabetic complications, bladder cancer, IL-17 signaling pathway, apoptosis, p53 signaling pathway, and PI3K-Akt signaling pathway. The drug active ingredient-core target-key pathway network contains 41 nodes and 108 edges, of which quercetin, wogonin, baicalein, acacetin, oroxylin A, and beta-sitosterol are important active ingredients; PTGS2, CASP3, TP53, IL-6, TNF, and AKT1 are important targets; and the pathways involved in UC treatment include pathways in cancer, PI3K-Akt signaling pathway, AGE-RAGE signaling pathway in diabetic, apoptosis, IL-17 signaling pathway and herpes simplex infection. The active ingredient has a good binding capacity to the core target. SCDP key active ingredients are mainly quercetin, wogonin, baicalein, acacetin, oroxylin A, and beta-sitosterol, which function mainly by regulating targets, such as PTGS2, CASP3, TP53, IL-6, TNF, and AKT1, and are associated with multiple signaling pathways as pathways in cancer, PI3K-Akt signaling pathway, apoptosis, IL-17 signaling pathways.

White matter abnormality has been widely reported in patients with schizophrenia (Sz). However, few studies have focused on the relationship between the white matter deficit and formal thought disorder (FTD). Moreover, the role of genetic high risk in FTD-related white matter deficit remains unclear. The present study recruited 46 Sz patients, 18 unaffected first-degree relatives of Sz patients, and 29 healthy controls. There was a widespread fractional anisotropy (FA) reduction in Sz. In addition, reduced FA in the left anterior corona radiata was related to more severe FTD symptoms in Sz. However, the genetic high-risk group only showed lower mean FA in the left anterior limb of the internal capsule than healthy controls. Our findings suggest that abnormality in the left anterior corona radiata may only occur in Sz but not in the genetic high-risk group. Such an abnormality might be associated with the severity of FTD symptoms. Meanwhile, genetic vulnerability may contribute to the abnormality in the left anterior limb of the internal capsule. Better analytical methods are needed to validate our results.

Based on Insight-HXMT data, we report on the pulse fraction evolution during the 2017–2018 outburst of the newly discovered first Galactic ultraluminous X-ray (ULX) source Swift J0243.6+6124. The pulse fractions of 19 observation pairs selected in the rising and fading phases with similar luminosity are investigated. The results show a general trend of the pulse fraction increasing with luminosity and energy at supercritical luminosity. However, the relative strength of the pulsation between each pair evolves strongly with luminosity. The pulse fraction in the rising phase is larger at luminosity below 7.71 × 1038 erg s−1, but smaller at above. A transition luminosity is found to be energy independent. Such a phenomenon is first confirmed by Insight-HXMT observations and we speculate that it may have relation with the radiation-pressure-dominated accretion disc.

The controversy surrounding the diagnostic classification of personality disorder (PD) in the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5; American Psychiatric Assoc...