EasyGraph: A multifunctional, cross-platform, and effective library for interdisciplinary network analysis.

Networks are powerful tools for representing the relationships and interactions between entities in various disciplines. However, existing network analysis tools and packages either lack powerful functionality or are not scalable for large networks. In this descriptor, we present EasyGraph, an open-source network analysis library that supports several network data formats and powerful network mining algorithms. EasyGraph provides excellent operating efficiency through a hybrid Python/C++ implementation and multiprocessing optimization. It is applicable to various disciplines and can handle large-scale networks. We demonstrate the effectiveness and efficiency of EasyGraph by applying crucial metrics and algorithms to random and real-world networks in domains such as physics, chemistry, and biology. The results demonstrate that EasyGraph improves the network analysis efficiency for users and reduces the difficulty of conducting large-scale network analysis. Overall, it is a comprehensive and efficient open-source tool for interdisciplinary network analysis.

Change and Regulation of Nutritional Metabolism in Silver Pomfret During Compensatory Growth.

Compensatory growth (CG) in fish is heavily influenced by nutrient metabolism. However, there are limited studies examining how nutrient metabolism is regulated during this process. For silver pomfret, an important commercial marine fish, it's crucial to establish effective starvation and re-feeding strategies to ensure good water quality and fast growth. To identify the complete compensatory growth model of silver pomfret, we conducted an experiment with a control group (normal feeding) and three starvation/re-feeding groups. We observed that the recovery of weight and condition factor in the 14-day starvation and 14-day re-feeding groups was significantly faster than other groups, indicating full compensatory growth. Thus, we selected this group for the next experiment. We performed untargeted metabolomics and transcriptome analysis of muscle tissue on Day 14, 21 and 28 (CG process), and examined the key regulatory genes of nutrient metabolism on Day 0, 7, 14, 21 and 28 (starvation and re-feeding process). Our data revealed that during starvation, silver pomfret first utilized carbohydrates and short-chain lipids, followed by proteins and long-chain lipids. After re-feeding, lipids accumulated first, resulting in rapid growth, followed by the recovery of protein content in muscle. During starvation, the expression of anabolic-related genes such as TER and CALR decreased, and catabolic-related genes such as TSC2 and MLYCD increased, promoting the AMPK pathway. During re-feeding, anabolic-related gene expression increased without AMPK inhibition. Our findings provide insights into the energy utilization strategies of fish and molecular regulation during compensatory growth in fish.

Tumor-derived exosomes promote macrophages M2 polarization through miR-1-3p and regulate the progression of liver cancer.

Hepatic carcinoma is one of the most life-threatening malignancies in the world. In the clinic, it is urgent to establish a clear mechanism of hepatic carcinoma development as the basis for intervention and treatment. The purpose of this study was to explore the regulatory effect of tumor-derived exosomes on the progression of hepatocellular carcinoma.qPCR was used to detect the expression of miR-1-3p. CCk-8 and EdU staining were used to detect the proliferation and activity of hepatocellular carcinoma cells under different conditions. Transwell assay was used to detect migration and invasion of hepatocellular carcinoma cells. The morphology and size of exosomes were detected by transmission electron microscope and nanoparticle tracking analysis. Western blot was used to detect the expression of markers of exosomes. Immunofluorescence staining was used to explore the location of exosomes in hepatocellular carcinoma cells.The results showed that the expression of miR-1-3p was significantly reduced in hepatocellular carcinoma cells, and the exosomes transfected with miR-1-3p could enter macrophages and express miR-1-3p in large quantities. Macrophages polarized to M2 type under the action of miR-1-3p. Polarized M2 macrophages further down-regulated the proliferation, migration and invasion of Huh-7 cells.In summary, miR-1-3p can enter macrophages through exosomes and affect their polarization, thus affecting the growth of hepatic carcinoma cells. miR-1-3p may be a potentially effective target for regulating liver cancer progression.

A deep generative framework with embedded vector arithmetic and classifier for sample generation, label transfer, and clustering of single-cell data.

Multiple-source single-cell datasets have accumulated quickly and need computational methods to integrate and decompose into meaningful components. Here, we present inClust (integrated clustering), a flexible deep generative framework that enables embedding auxiliary information, latent space vector arithmetic, and clustering. All functional parts are relatively modular, independent in implementation but interrelated at runtime, resulting in an all-in general framework that could work in supervised, semi-supervised, or unsupervised mode. We show that inClust is superior to most data integration methods in benchmark datasets. Then, we demonstrate the capability of inClust in the tasks of conditional out-of-distribution generation in supervised mode, label transfer in semi-supervised mode, and spatial domain identification in unsupervised mode. In these examples, inClust could accurately express the effect of each covariate, distinguish the query-specific cell types, or segment spatial domains. The results support that inClust is an excellent general framework for multiple-task harmonization and data decomposition.

High throughput isolation of RNA from single-cells within an intact tissue for spatial and temporal sequencing a reality.

Single-cell transcriptomics is essential for understanding biological variability among cells in a heterogenous population. Acquiring high-quality single-cell sequencing data from a tissue sample has multiple challenges including isolation of individual cells as well as amplification of the genetic material. Commercially available techniques require the isolation of individual cells from a tissue through extensive manual manipulation before single cell sequence data can be acquired. However, since cells within a tissue have different dissociation constants, enzymatic and mechanical manipulation do not guarantee the isolation of a homogenous population of cells. To overcome this drawback, in this research we have developed a revolutionary approach that utilizes a fully automated nanopipette technology in combination with magnetic nanoparticles to obtain high quality sequencing reads from individual cells within an intact tissue thereby eliminating the need for manual manipulation and single cell isolation. With the proposed technology, it is possible to sample an individual cell within the tissue multiple times to obtain longitudinal information. Single-cell RNAseq was achieved by aspirating only1-5% of sub-single-cell RNA content from individual cells within fresh frozen tissue samples. As a proof of concept, aspiration was carried out from 22 cells within a breast cancer tissue slice using quartz nanopipettes. The mRNA from the aspirate was then selectively captured using magnetic nanoparticles. The RNAseq data from aspiration of 22 individual cells provided high alignment rates (80%) with 2 control tissue samples. The technology is exceptionally simple, quick and efficient as the entire cell targeting and aspiration process is fully automated.

Osteoblast Biospecific Extraction Conjugated with HPLC Analysis for Screening Bone Regeneration Active Components from Moutan Cortex.

INTRODUCTION: The function of promoting bone regeneration of Moutan Cortex (MC), a traditional Chinese medicine, has been widely known but, the effective components of MC in promoting osteoblast-mediated bone regeneration were still unclear. OBJECTIVE: The method of osteoblast membrane bio-specific extraction conjugated with HPLC analysis was established to screen bone regeneration active components from MC. METHODS: The fingerprints, washing eluate and desorption eluate of MC extract were analyzed by the established HPLC-DAD method. The established MC3T3-E1 cells membrane chromatography method was used for the bio-specific extraction of MC. The isolated compounds were identified by MS spectrometry. The effects and possible mechanisms of the isolated compounds were evaluated by molecular docking, ALP activity, cell viability by MTT Assay and proteins expression by Western Blot Analysis. RESULTS: The active compound responsible for bone regeneration from MC was isolated using the established method of osteoblast membrane bio-specific extraction conjugated with HPLC analysis, and it was identified as 1,2,3,4,6-penta-O-ß-galloyl-D-glucose (PGG) by MS spectrometry. It was further demonstrated through molecular docking that PGG could fit well into the functional ALP, BMP2, and Samd1 binding pocket. The proliferation of osteoblasts was promoted, the level of ALP was increased, and the protein expression of BMP2 and Smad1 was increased as shown by further pharmacological verification. CONCLUSION: It was concluded that PGG, the bone regeneration active compound from MC, could stimulate the proliferation of osteoblasts to promote osteoblast differentiation, and its mechanism might be related to the BMP/Smad1 pathway.

Uterine artery embolization combined with ultrasound-guided dilation and curettage for the treatment of cesarean scar pregnancy: Efficacy and 5-8-year follow-up study.

Objective: To evaluate the efficacy and safety of uterine artery embolization (UAE) combined with dilation and curettage (D&C) using ultrasound as a treatment for cesarean scar pregnancy (CSP) and assess its effect on ovarian and reproductive function. Methods: A total of 54 patients with uterine CSP between January 2011 and December 2015 were included in this retrospective study. The patients were treated with UAE combined with D&C using ultrasound for the treatment of CSP and followed up for 5-8 years. Their medical records, medical histories, clinical manifestations, treatment courses, and treatment results were analyzed. Results: The 54 patients were initially treated without severe complications. ß-Human chorionic gonadotropin (ß-hCG) normalization took 36.11 â€‹± â€‹10.73 days (range, 25-84 days), length of hospitalization was 6.6 â€‹± â€‹1.5 days (range, 4-10 days), and total blood loss was 18.48 â€‹± â€‹8.41 â€‹mL (range, 5-33 â€‹mL). All patients resumed normal menstruation after 33.48 â€‹± â€‹8.71 days (range, 26-70 days). At the 5-8-year follow-up after UAE combined with D&C by ultrasound for the treatment of uterine CSP, the menstrual volume in 32 (59.3%) patients decreased versus before the operation. Compared with pretreatment, the menstrual cycle was prolonged in two (3.7%) cases, shortened in 10 (18.5%) cases, irregular in one (1.9%) case, and unchanged in 39 (72.2%) cases. Three patients conceived naturally and successfully gave birth to healthy children. Seven (12.96%) patients with accidental natural pregnancies chose induced abortion with no significant change in their sex lives. Conclusion: UAE combined with D&C using ultrasound for the treatment of uterine CSP is safe and effective and may not affect the fertility of patients aged <40 years. However, menstrual volume may be reduced in some patients.

Dietary vitamin A intakes of chinese children with adequate liver stores as assessed by the retinol isotope dilution technique.

BACKGROUND: We attempted to estimate dietary vitamin A requirements based on dietary vitamin A intake in well-nourished Chinese children with adequate liver vitamin A reserves. METHODS: A cross-sectional study was conducted in a kindergarten and an elementary school in Shiyan city, Hubei province of China from December 2009 to July 2010. After screening, 60 children (22 aged 4 ~ 6 y and 38 aged 7 ~ 9 y) were randomly subjected to a 3-d or 18-d deuterated-retinol-dilution (DRD) procedure to evaluate the vitamin A reserves in the body and liver. Dietary intakes of vitamin A were estimated from two (one in winter and one in summer) consecutive 3-day weighed food records and dietary recalls. RESULTS: The dietary vitamin A intakes were significantly correlated with vitamin A stores in the body and liver, but not with the serum level of retinol. The dietary vitamin A intakes were 476.9 ± 196.7 µg retinol equivalent (RE) (or 377.7 ± 166.2 µg retinol activity equivalent (RAE)) / day for 4 ~ 6 y children and 529.1 ± 87.2 µg RE/d (or 464.0 ± 81.1 µg RAE/d) for 7 ~ 9 y children with adequate liver vitamin A reserves. The estimated liver stores of vitamin A derived from both time points (3-d and 18-d) were similar. CONCLUSION: Adequate dietary vitamin A intakes among the well-nourished Chinese children were estimated to be 477 µg RE/d (95%CI 385 ~ 570) or 378 µg RAE/d (95%CI 304 ~ 441) for 4 ~ 6 y children and 529 µg RE/d (95%CI 500 ~ 560) or 464 µg RAE/d (95%CI 437 ~ 491) for 7 ~ 9 y children. Although it needs to be verified in a larger population of different regions in China, our results provide important data to establish the dietary requirement of vitamin A specifically for Chinese children.

Unveiling Latent Structure of Venture Capital Syndication Networks.

Venture capital (VC) is a form of private equity financing provided by VC institutions to startups with high growth potential due to innovative technology or novel business models but also high risks. To against uncertainties and benefit from mutual complementarity and sharing resources and information, making joint-investments with other VC institutions on the same startup are pervasive, which forms an ever-growing complex syndication network. Attaining objective classifications of VC institutions and revealing the latent structure of joint-investment behaviors between them can deepen our understanding of the VC industry and boost the healthy development of the market and economy. In this work, we devise an iterative Loubar method based on the Lorenz curve to make objective classification of VC institutions automatically, which does not require setting arbitrary thresholds and the number of categories. We further reveal distinct investment behaviors across categories, where the top-ranked group enters more industries and investment stages with a better performance. Through network embedding of joint investment relations, we unveil the existence of possible territories of top-ranked VC institutions, and the hidden structure of relations between VC institutions.

The ultrastructure of spermatogenic cells and morphological evaluation of testicular development in the silver pomfret (Pampus argenteus).

The silver pomfret (Pampus argenteus) is a widely distributed and economically important marine fish in the Indo-Pacific. In this study, we acquired the second generation of wild P. argenteus by artificial breeding and further studied the testicular development and ultrastructure of spermatogenesis. The results of gonadosomatic index (GSI) showed the spawning period of this marine fish was from April to June. Besides, through morphological analysis, we found that P. argenteus had an anastomosing tubular testis surrounded by a layer of tunica albuginea, in which spermatogenesis occurred in cysts where the synchronous germ cells were completely surrounded by the cytoplasmic projection of Sertoli cells. Meanwhile, based on submicroscopic characteristics, the germ cells are classified into nine different types. During the ontogenesis of testis, both the early stage of spermatogenesis and sperm were observed in P. argenteus. At sperm maturation stage, different types of spermatozoa and activation of sperms occurred non-synchronously in the tubules. Cytoplasmic bridges also were observed among synchronous germ cells within the cysts, suggesting an interrelated and differentiated relationship among these germ cells.

Sulbactam improves binding property and uptake capacity of glutamate transporter-1 and decreases glutamate concentration in the CA1 region of hippocampus of global brain ischemic rats.

Glutamate transporter-1 (GLT-1) removes most glutamate in the synaptic cleft. Sulbactam confers neuronal protection against ischemic insults in the hippocampal CA1 region accompanied by the upregulation of GLT-1 expression in rats. The present study further investigates the effect of sulbactam on the binding property and uptake capacity of GLT-1 for glutamate, and the change in extracellular glutamate concentration in the hippocampal CA1 region of rats with global brain ischemia. The binding property and uptake capacity of GLT-1 were measured using a radioligand binding and uptake assay, respectively, with L-3H-glutamate. The extracellular glutamate concentration was detected using microdialysis and high-performance liquid chromatography-mass spectrometry. Neuropathological evaluation was performed based on thionin staining. It was shown that sulbactam pre-treatment changed GLT-1 binding property, including increased Bmax and decreased Kd values, increased GLT-1 uptake capacity for glutamate, and inhibited the elevation of extracellular glutamate concentration in rats with global cerebral ischemia. These effects of sulbactam were accompanied by its neuronal protection on the hippocampal CA1 neurons against delayed neuronal death resulted from ischemic insult. Furthermore, administration of GLT-1 antisense oligodeoxynucleotides, which inhibited the expression of GLT-1, blocked the aforementioned sulbactam-related effects, which suggested that GLT-1 upregulation mediated the above effect although other mechanisms independent of the upregulation of GLT-1 expression could not be excluded. It could be concluded that sulbactam improves the binding property and uptake capacity of GLT-1 for glutamate and then reduces the glutamate concentration and excitotoxicity during global cerebral ischemia, which contributes to the neuroprotection of sulbactam against brain ischemia.

Immune response of silver pomfret (Pampus argenteus) to Amyloodinium ocellatum infection.

Amyloodinium ocellatum (AO) infection in silver pomfret (Pampus argenteus) causes extensive mortality. Insufficient information exists on the molecular immune response of silver pomfret to AO infestation, so herein we simulated the process of silver pomfret being infected by AO. Translucent trophosomes were observed on the gills of AO-infected fish. Transcriptome profiling was performed to investigate the effects of AO infection on the gill, kidney complex and spleen. Overall, 404,412,298 clean reads were obtained, assembling into 96,341 unigenes, which were annotated against public databases. In total, 2730 differentially expressed genes were detected, and few energy- and immune-related genes were further assessed using RT-qPCR. Moreover, activities of three immune-related (SOD, AKP and ACP) and three energy-related (PKM, LDH and GCK) enzymes were determined. AO infection activated the immune system and increased interleukin-1 beta and immunoglobulin M heavy chain levels. Besides, the PPAR signalling pathway was highly enriched, which played a role in improving immunity and maintaining homeostasis. AO infection also caused dyspnoea, leading to extensive lactic acid accumulation, potentially contributing towards a strong immune response in the host. Our data improved our understanding regarding the immune response mechanisms through which fish coped with parasitic infections and may help prevent high fish mortality in aquaculture.

Prognostic nomogram for hepatocellular carcinoma patients after transarterial chemoembolization based on des-γ-carboxy prothrombin reactivity and modified Response Evaluation Criteria in Solid Tumors.

AIMS: The aim of this study was to construct a nomogram that will predict the overall survival (OS) of hepatocellular carcinoma (HCC) patients after transarterial chemoembolization (TACE). MATERIALS AND METHODS: Imaging data, clinical characteristics, and serum des-γ-carboxy prothrombin (DCP) levels of 93 HCC patients treated with TACE were collected. Lasso regression, random forest, and other methods were used to screen the OS-related variables and construct the Cox prognosis model. The model was visualized by nomogram, and the net benefit of the clinical decision was assessed by decision curve analysis (DCA). RESULTS: It was found that DCP level after TACE was an important predictor of OS in HCC patients. The OS of the patients with lower serum DCP levels after TACE was significantly better than the group with higher levels (P = 0.003). The Cox prognostic model was constructed using four predictors including DCP reactivity (P = 0.001), modified Response Evaluation Criteria in Solid Tumors (mRECIST, P = 0.005), Child-Pugh class (P = 0.018), and portal vein thrombosis (P = 0.039). The C-index of the nomogram for OS of patients after TACE was 0.813. The clinical decision-making net benefits based on the nomogram were better than the decision-making based on the TNM stage system. CONCLUSION: DCP reactivity and mRECIST are the key predictors of prognosis in HCC patients that received TACE as their initial treatment. The nomogram constructed with these two indicators as the core could predict the OS of HCC patients after TACE and help in clinical decision-making.

Principled approach to the selection of the embedding dimension of networks.

Network embedding is a general-purpose machine learning technique that encodes network structure in vector spaces with tunable dimension. Choosing an appropriate embedding dimension - small enough to be efficient and large enough to be effective - is challenging but necessary to generate embeddings applicable to a multitude of tasks. Existing strategies for the selection of the embedding dimension rely on performance maximization in downstream tasks. Here, we propose a principled method such that all structural information of a network is parsimoniously encoded. The method is validated on various embedding algorithms and a large corpus of real-world networks. The embedding dimension selected by our method in real-world networks suggest that efficient encoding in low-dimensional spaces is usually possible.

Dynamic changes in mitochondrial DNA, morphology, and fission during oogenesis of a seasonal-breeding teleost, Pampus argenteus.

Mitochondria play crucial roles during oocyte development. In this study, we have investigated mitochondrial morphology, mtDNA, Ca2+-ATP enzyme activity, and mitochondrial fission factor (mff) expression levels during oogenesis of the silver pomfret Pampus argenteus. The mtDNA increased with oocyte development, and mitochondrial morphology and distribution were stage-specific. In the perinucleolar oocytes, oval mitochondria were dispersed in the cytoplasm. In previtellogenic oocytes, mitochondria massively increased and aggregated, forming mitochondrial clouds. At the same time, two morphologically different types of mitochondria had been distinguished, one of which was elongated with well-developed cristae, and the other was round with distorted and fused cristae. During vitellogenesis, the increases in mitochondria with well-developed cristae and in Ca2+-ATPase enzymatic activity were accompanied by an accumulation of yolk substance, suggesting the possible participation of mitochondria in the formation of vitellogenesis. Furthermore, we examined the cDNA of mff its transcript levels in relation to oocyte development. The transcript levels of mff were high in the perinucleolar stage, increasing to the highest level at the previtellogenic stage. Immunocytochemistry showed that MFF was detected in the cytoplasm of previtellogenic and midvitellogenic oocytes. We speculated that the mff-mediated mitochondrial fission may play a crucial role in oocyte development, especially in vitellogenesis.

Prevalence of mental health problems in frontline healthcare workers after the first outbreak of COVID-19 in China: a cross-sectional study.

BACKGROUND: More than 210,000 medical workers have fought against the outbreak of Coronavirus Disease 2019 (COVID-19) in Hubei in China since December 2019. However, the prevalence of mental health problems in frontline medical staff after fighting COVID-19 is still unknown. METHODS: Medical workers in Wuhan and other cities in Hubei Province were invited to participate a cross-sectional and convenience sampling online survey, which assessed the prevalence of anxiety, insomnia, depression, and post-traumatic stress disorder (PTSD). RESULTS: A total of 1,091 responses (33% male and 67% female) were valid for statistical analysis. The prevalence was anxiety 53%, insomnia 79%, depression 56%, and PTSD 11%. Healthcare workers in Wuhan were more likely to face risks of anxiety (56% vs. 52%, P = 0.03) and PTSD (15% vs. 9%, P = 0.03) than those in other cities of Hubei. In terms of educational attainment, those with doctoral and masters' (D/M) degrees may experience more anxiety (median of 7.0, [interquartile range (IQR) 2.0-8.5] vs. median 5.0 [IQR 5.0-8.0], P = 0.02) and PTSD (median 26.0 [IQR 19.5-33.0] vs. median 23.0 [IQR 19.0-31.0], P = 0.04) than those with lower educational degrees. CONCLUSIONS: The mental problems were an important issue for the healthcare workers after COVID-19. Thus, an early intervention on such mental problems is necessary for healthcare workers.

Discovering latent node Information by graph attention network.

In this paper, we propose graph attention based network representation (GANR) which utilizes the graph attention architecture and takes graph structure as the supervised learning information. Compared with node classification based representations, GANR can be used to learn representation for any given graph. GANR is not only capable of learning high quality node representations that achieve a competitive performance on link prediction, network visualization and node classification but it can also extract meaningful attention weights that can be applied in node centrality measuring task. GANR can identify the leading venture capital investors, discover highly cited papers and find the most influential nodes in Susceptible Infected Recovered Model. We conclude that link structures in graphs are not limited on predicting linkage itself, it is capable of revealing latent node information in an unsupervised way once a appropriate learning algorithm, like GANR, is provided.

Mechanism of TREM2/DAP12 complex affecting ß-amyloid plaque deposition in Alzheimer's disease modeled mice through mediating inflammatory response.

To investigate the mechanism of TREM2/DAP12 complex in mediating inflammatory responses that affect ß-amyloid plaque deposition in Alzheimer's disease (AD) modeled mice. We measured escape latency and platform crossing time using the Morris water maze image automatic acquisition and software analysis system in TREM2 and DAP12 microglia knockout AD model mouse. We monitored the deposition of Aß plaques in the mouse hippocampus using Congo red staining and measured levels. of inflammatory factors IL-6 and TNF-α by ELISA. Newborn mice with TREM2 knockout were selected for primary microglia isolation and culture, and Aged oligomer Aß1-42 was added to the microglial culture medium to simulate the AD environment in vivo. Co-immunoprecipitation assay was used to detect the interaction between DAP12 and TREM2, and measured the inflammatory response induced by lipopolysaccharide (LPS) in mice with TREM2 and DAP12 knockdown through adeno-associated virus in BV2 microglia. The escape latency of the AD model mice with TREM2 and DAP12 knockout was higher and the number of crossing platforms lower than in the control group, whereas Aß deposition and levels of inflammatory factors were higher. In TREM2 knockout microglial cultured with Aß1-42, levels of IL-6 and TNF-α increased. Immunoprecipation pull-down assays showed that TREM2 binds to the membrane receptor DAP12 to form a complex. Knockout of TREM2 or DAP12 can inhibit LPS-induced microglial inflammatory responses. The TREM2/DAP12 complex inhibits the microglial inflammatory response through the JNK signaling pathway, thereby reducing the deposition of Aß plaques and attenuation the behavioral manifestation in a mouse AD model.

Identification and characteristics of insulin-like growth factor system in the brain, liver, and gonad during development of a seasonal breeding teleost, Pampus argenteus.

Reproductive activity is closely related to the development and function of the brain and liver in teleosts, particularly in seasonal breeding teleosts. This study measured the involvement of the insulin-like growth factor (IGF) system in controlling the reproduction of the silver pomfret Pampus argenteus, a seasonal breeding tropical to temperate commercial fish. We cloned and characterized the cDNAs of igfs (igf2 and igf3) and igfrs (igf1ra, igf1rb, and igf2r) and examined their transcript levels in relation to seasonal reproduction. Phylogenetic analyses revealed that two types of IGFs (IGF-1 and IGF-2) and three types of IGFRs (IGF1RA, IGF1RB, and IGF2R) of the silver pomfret were clustered with those of teleosts; however, IGF-3 was a transmembrane protein different with the IGF-3 of other teleosts. The expression of IGF-3 was gonad-specific in the silver pomfret. The transcript levels of igf1 in the female brain were the highest, and the levels of igfrs in both sexes' brains increased during gametogenesis. Meanwhile, igfs and igfrs maintained high transcript levels in both sexes' liver and gonad during vitellogenesis and spermatogonia proliferation. We concluded that the development and activities of brain, liver, and gonad were related to the IGF system (IGFs and IGFRs). And the IGFs were mainly expressed in the liver. Nevertheless, gonadal development, especially vitellogenesis and spermatogonia proliferation, were related with IGFs in this species.

Knockdown of Ror2 suppresses TNF­α­induced inflammation and apoptosis in vascular endothelial cells.

Wnt family member 5a (Wnt5a) is a noncanonical member of the Wnt family that is highly expressed in atherosclerosis. Studies have shown that Wnt5a/receptor tyrosine kinase­like orphan receptors 2 (Ror2) signaling can participate in the formation of foam cells; however, the role of Ror2 in vascular endothelial cells during atherosclerotic injury is unknown. Therefore, the present study aimed to investigate the role of Ror2 in tumor necrosis factor (TNF)­α­induced vascular endothelial cell injury and investigate whether it could be regulated by Wnt5a. Human umbilical vein endothelial cells were transfected with short hairpin RNA specific against Ror2 in the absence or presence of TNF­α. The alteration of inflammatory cytokine levels was detected, and the expression of adhesion molecules was assessed. Western blot and flow cytometry analyses were used to detect the activation of nuclear factor­κB (NF­κB) signaling and cell apoptosis. The interaction between Ror2 and Wnt5a was confirmed by immunoprecipitation. Ror2 was upregulated upon TNF­α stimulation. Knockdown of Ror2 inhibited the TNF­α­induced release of inflammatory cytokines, the expression of intercellular adhesion molecule­1 and vascular cell adhesion molecule­1 and the activation of NF­κB signaling. Furthermore, cell apoptosis induced by TNF­α was rescued by Ror2 silencing. In addition, Wnt5a expression was increased by TNF­α, and Ror2 could bind to Wnt5a, the knockdown of which could downregulate the levels of Ror2. In conclusion, it was demonstrated that Ror2 was upregulated upon TNF­α stimuli, and interference of Ror2 regulated by Wnt5a could suppress TNF­α­induced inflammation and apoptosis in vascular endothelial cells.