Unsupervised 3D Reconstruction with Multi-Measure and High-Resolution Loss.

Multi-view 3D reconstruction technology based on deep learning is developing rapidly. Unsupervised learning has become a research hotspot because it does not need ground truth labels. The current unsupervised method mainly uses 3DCNN to regularize the cost volume to regression image depth. This approach results in high memory requirements and long computing time. In this paper, we propose an end-to-end unsupervised multi-view 3D reconstruction network framework based on PatchMatch, Unsup_patchmatchnet. It dramatically reduces memory requirements and computing time. We propose a feature point consistency loss function. We incorporate various self-supervised signals such as photometric consistency loss and semantic consistency loss into the loss function. At the same time, we propose a high-resolution loss method. This improves the reconstruction of high-resolution images. The experiment proves that the memory usage of the network is reduced by 80% and the running time is reduced by more than 50% compared with the network using 3DCNN method. The overall error of reconstructed 3D point cloud is only 0.501 mm. It is superior to most current unsupervised multi-view 3D reconstruction networks. Then, we test on different data sets and verify that the network has good generalization.

G2O-Pose: Real-Time Monocular 3D Human Pose Estimation Based on General Graph Optimization.

Monocular 3D human pose estimation is used to calculate a 3D human pose from monocular images or videos. It still faces some challenges due to the lack of depth information. Traditional methods have tried to disambiguate it by building a pose dictionary or using temporal information, but these methods are too slow for real-time application. In this paper, we propose a real-time method named G2O-pose, which has a high running speed without affecting the accuracy so much. In our work, we regard the 3D human pose as a graph, and solve the problem by general graph optimization (G2O) under multiple constraints. The constraints are implemented by algorithms including 3D bone proportion recovery, human orientation classification and reverse joint correction and suppression. When the depth of the human body does not change much, our method outperforms the previous non-deep learning methods in terms of running speed, with only a slight decrease in accuracy.

A Novel Online Calculator Based on Serum Biomarkers to Detect Hepatocellular Carcinoma among Patients with Hepatitis B.

BACKGROUND: Early detection of hepatocellular carcinoma (HCC) among hepatitis B virus (HBV)-infected patients remains a challenge, especially in China. We sought to create an online calculator of serum biomarkers to detect HCC among patients with chronic hepatitis B (CHB). METHODS: Participants with HBV-HCC, CHB, HBV-related liver cirrhosis (HBV-LC), benign hepatic tumors, and healthy controls (HCs) were recruited at 11 Chinese hospitals. Potential serum HCC biomarkers, protein induced by vitamin K absence or antagonist-II (PIVKA-II), α-fetoprotein (AFP), lens culinaris agglutinin A-reactive fraction of AFP (AFP-L3) and α-l-fucosidase (AFU) were evaluated in the pilot cohort. The calculator was built in the training cohort via logistic regression model and validated in the validation cohort. RESULTS: In the pilot study, PIVKA-II and AFP showed better diagnostic sensitivity and specificity compared with AFP-L3 and AFU and were chosen for further study. A combination of PIVKA-II and AFP demonstrated better diagnostic accuracy in differentiating patients with HBV-HCC from patients with CHB or HBV-LC than AFP or PIVKA-II alone [area under the curve (AUC), 0.922 (95% CI, 0.908-0.935), sensitivity 88.3% and specificity 85.1% for the training cohort; 0.902 (95% CI, 0.875-0.929), 87.8%, and 81.0%, respectively, for the validation cohort]. The nomogram including AFP, PIVKA-II, age, and sex performed well in predicting HBV-HCC with good calibration and discrimination [AUC, 0.941 (95% CI, 0.929-0.952)] and was validated in the validation cohort [AUC, 0.931 (95% CI, 0.909-0.953)]. CONCLUSIONS: Our results demonstrated that a web-based calculator including age, sex, AFP, and PIVKA-II accurately predicted the presence of HCC in patients with CHB. CLINICALTRIALSGOV IDENTIFIER: NCT03047603.

Red blood cell distribution width and platelet counts are independent prognostic factors and improve the predictive ability of IPI score in diffuse large B-cell lymphoma patients.

BACKGROUND: Elevated red blood cell distribution width (RDW) and decreased platelet count (PLT) can be clinically relevant to the prognosis in cancer patients. However, their prognostic values in patients with diffuse large B-cell lymphoma (DLBCL) need to be further explored. METHODS: Healthy donors (n = 130) and patients with DLBCL (n = 349) were included and evaluated retrospectively in this study. The prognostic influence of clinical and pathological factors including RDW and PLT on overall survival (OS) and progression-free survival (PFS) were studied by Kaplan-Meier curves. To evaluate the independent prognostic relevance of RDW and PLT, univariate and multivariate Cox proportional hazards regression models were applied. The adjusted IPI model was established based on the results of multivariate analysis, and verified by Harrell's C statistical analysis. RESULTS: Kaplan-Meier curves indicated that an elevated RDW value and thrombocytopenia are poor factors for OS (P < 0.001, P = 0.006) and PFS (P = 0.003, P < 0.001) in DLBCL patients. Multivariate analysis confirmed that elevated RDW value (HR = 2.026, 95%CI = 1.263-3.250, P = 0.003) and decreased PLT count (HR =1.749, 95%CI = 1.010-3.028, P = 0.046) were both independent prognostic factors. The c-index of IPI and NCCN-IPI were increased when RDW level and PLT were supplemented in our cohort. CONCLUSIONS: Our study shows that elevated RDW level and decreased PLT are independent poor prognostic factors in newly diagnosed DLBCL patients. Adding RDW and PLT to the IPI score may improve its predictive ability, and the adjusted IPI may be more powerful in predicting the survival of DLBCL patients in the rituximab era.

Diagnostic value of alpha-fetoprotein combined with neutrophil-to-lymphocyte ratio for hepatocellular carcinoma.

BACKGROUND: To investigate the diagnostic performance of alpha-fetoprotein (AFP) and neutrophil-to-lymphocyte ratio (NLR) as well as their combinations with other markers. METHODS: Serum aspartate aminotransferase (AST), alanine aminotransferase (ALT), AFP and levels as well as the numbers of neutrophils and lymphocytes of all enrolled patients were collected. The NLR was calculated by dividing the number of neutrophils by the number of lymphocytes. Receiver operating characteristic (ROC) curve analysis was conducted to determine the ability of each marker and combination of markers to distinguish HCC and liver disease patients. RESULTS: In total, 545 patients were included in this study. The area under the ROC curve (AUC) values for AFP, ALT, AST, and NLR were 0.775 (0.738-0.810), 0.504 (0.461-0.547), 0.660 (0.618-0.699), and 0.738 (0.699-0.774) with optimal cut-off values of 24.6 ng/mL, 111 IU/mL, 27 IU/mL, and 2.979, respectively. Of the four biomarkers, AFP and NLR showed comparable specificity (0.881 and 0.858) and sensitivity (0.561 and 0.539). The combination of AFP and NLR showed the highest AUC (0.769) with a significantly higher sensitivity (0.767) and a lower specificity (0.773) compared to AFP or NLR alone, and it had the highest sum of sensitivity and specificity (1.54) among all combinations. In patients with AFP < 20 ng/mL, the NLR showed the highest AUC and combination with other markers did not improve the diagnostic accuracy. CONCLUSIONS: Our data indicate that the combination of AFP and NLR offers better diagnostic performance than either marker alone for differentiating HCC from liver disease, which may benefit clinical screening.

Review on Vitamin K Deficiency and its Biomarkers: Focus on the Novel Application of PIVKA-II in Clinical Practice.

BACKGROUND: Vitamin K (VK) is a co-factor of the γ-glutamyl carboxylase that catalyzes the conversion of glutamate residues to γ-carboxyglutamate in VK-dependent proteins. The carboxylation reaction imparts the essential calcium-binding residues for the biological function of several proteins involved in the process of coagulation and bone metabolism. VK deficiency is frequently encountered in newborns and can lead to fatal hemorrhagic complications. This review describes and discusses the clinical application of VK deficiency testing. METHODS: References and data were researched in PubMed and reviewed. RESULTS: In adults, VK deficiency is associated with uncontrolled bleeding, liver dysfunction, osteoporosis, and coronary diseases. An improved understanding of the role of VK deficiency in health and illness can be achieved by setting a gold-standard in the inter-laboratory estimations of VK. However, conventional methods used to measure the VK deficiency based upon the coagulation time lack sensitivity and specificity. Recently, the alterations in proteins induced by VK absence or antagonism (PIVKA) have proven to be suitable biomarkers for detecting VK deficiency. The measurement of PIVKA-II exhibits an enhanced sensitivity and specificity in comparison to other methods conventionally used for the assessment of VK deficiency in newborns and adults. CONCLUSIONS: PIVKA-II could potentially be employed as an effective biomarker in the diagnosis of VK deficiency.

Reference Intervals of Cytokeratin-19 Fragment (CYFRA 21-1) in Healthy Adults in China.

BACKGROUND: The reference intervals for serum cytokeratin-19 fragment (CYFRA 21-1) have not been established in Chinese population. This study aimed to measure serum CYFRA 21-1 levels in healthy Chinese subjects. METHODS: This cross-sectional, four-center study in two Chinese provinces enrolled participants (aged 18 - 85 years) with normal liver/kidney function and normal results for routine blood tests/urinalysis. Serum CYFRA 211 level was measured by ARCHITECT immunoassay (Abbott Diagnostics). RESULTS: The study included 3,366 participants. The median (interquartile range) value for serum CYFRA 21-1 level was 1.38 (1.00 - 1.89) ng/mL and tended to increase with age. The upper limit of the 97.5th percentile was 3.55 ng/mL and tended to increase with age. Serum CYFRA 21-1 median level varied between the four centers from 1.22 (0.89, 1.71) to 1.55 (1.12, 2.18) ng/mL, while the 97.5th percentile varied from 3.24 to 4.09 ng/mL. CYFRA 21-1 level correlated weakly with age and creatinine level. CONCLUSIONS: These new data can help to establish the 'normal range' of serum CYFRA 21-1 in people in China.

Protein induced by vitamin K absence or antagonist-II versus alpha-fetoprotein in the diagnosis of hepatocellular carcinoma: A systematic review with meta-analysis.

BACKGROUND: As a promising biomarker of hepatocellular carcinoma (HCC), protein induced by vitamin K absence or antagonist-II (PIVKA-II) has been studied extensively. However, its diagnostic capability varies across HCC studies. This study aimed to compare the performance of PIVKA-II with alpha-fetoprotein (AFP) in the diagnosis of HCC. DATA SOURCES: A systematic literature search was conducted to identify the studies from MEDLINE, Embase and Cochrane Library Databases, which were published up to December 20, 2017 to compare the diagnostic capability of PIVKA-II and AFP for HCC. The data were pooled using random effects model. Pooled sensitivity and specificity were calculated. Summary receiver operating characteristic curve (ROC) was employed to evaluate the diagnostic accuracy of each marker. RESULTS: Thirty-one studies were included. The pooled sensitivity (95% CI) of PIVKA-II and AFP was 0.66 (0.65-0.68) and 0.66 (0.65-0.67), respectively in diagnosis of HCC; and the corresponding pooled specificity (95% CI) was 0.89 (0.88-0.90) and 0.84 (0.83-0.85), respectively. The area under the ROC curve (AUC) of PIVKA-II and AFP was 0.856 (0.817-0.895) and 0.770 (0.728-0.811), respectively. Subgroup analysis showed that PIVKA-II was superior to AFP in terms of the AUC for both small HCC (< 3 cm) [0.863 (0.825-0.901) vs 0.717 (0.658-0.776)] and large HCC (≥ 3 cm) [0.854 (0.811-0.897) vs 0.729 (0.682-0.776)]; for American [0.926 (0.897-0.955) vs 0.698 (0.594-0.662)], European [0.772 (0.743-0.801) vs 0.628 (0.594-0.662)], Asian [0.838 (0.812-0.864) vs 0.785 (0.764-0.806)] and African [0.812 (0.794-0.840) vs 0.721 (0.675-0.767)] HCC patients; and for HBV-related [0.909 (0.866-0.951) vs 0.714 (0.673-0.755)] and mixed-etiology [0.847 (0.821-0.873) vs 0.794 (0.772-0.816)] HCC. CONCLUSION: This meta-analysis indicates that PIVKA-II is better than AFP in terms of the accuracy for diagnosing HCC, regardless of tumor size, patient ethnic group, or HCC etiology.

B cells expressing CD11b effectively inhibit CD4+ T-cell responses and ameliorate experimental autoimmune hepatitis in mice.

UNLABELLED: Increasing evidence in recent years has suggested that B cells act as a crucial regulator in autoimmune diseases. However, little is known about their role in autoimmune hepatitis (AIH) and the underlying regulatory mechanisms. In this study, we show that B cells ameliorated experimental AIH (EAH) by suppressing CD4+ T-cell responses and that CD11b expression on B cells was required for the regulatory function of B cells. In vitro studies reveal that the suppressive function of CD11b was mediated by the impairment of T-cell antigen receptor (TCR) signaling transduction and the promotion of TCR down-regulation. Moreover, we show that the increased CD11b expression on B cells was interleukin (IL)-10 dependent and that additional IL-10 stimulation promoted CD11b expression on B cells, thereby enhancing B-cell regulatory effects. CONCLUSION: These findings reveal a previously unrecognized role for CD11b in B-cell regulatory function and its protective effect on EAH.

Clinical application of protein induced by vitamin K antagonist-II as a biomarker in hepatocellular carcinoma.

Hepatocellular carcinoma (HCC) is the third leading cause of cancer deaths worldwide. Early diagnosis improves the prognosis. Protein induced by vitamin K antagonist-II (PIVKA-II) is an effective serum biomarker for HCC diagnosis and prognosis. Combined with another serum biomarker α-fetoprotein (AFP), the sensitivity and specificity of HCC diagnosis can be improved to a maximum of 94 and 98.5 %, respectively. PIVKA-II alone or in combination with AFP and/or AFP-L3 was effective in predicting the treatment response and clinical outcome of curative hepatic resection, chemotherapy, targeted therapy, radiotherapy, and liver transplantation. Japanese clinical guidelines recommend the combined use of PIVKA-II and AFP for the diagnosis of HCC, management of high-risk population, and prognosis of anticancer treatment. Further, PIVKA-II as a functional target promoted HCC cell proliferation, invasion, and metastasis by activating c-Met and other signal transduction pathways. Inhibition of PIVKA-II may provide a selective and effective therapy for HCC.

miR-15a/16 regulates macrophage phagocytosis after bacterial infection.

Bacterial infection and its associated sepsis are devastating clinical entities that lead to high mortality and morbidity in critically ill patients. Phagocytosis, along with other innate immune responses, exerts crucial impacts on the outcomes of these patients. MicroRNAs (miRNAs) are a novel class of regulatory noncoding RNAs that target specific mRNAs for modulation of translation and expression of a targeted protein. The roles of miRNAs in host defense against bacterial sepsis remain unclear. We found that bacterial infections and/or bacterial-derived LPS enhanced the level of miR-15a/16 in bone marrow-derived macrophages (BMDMs). Deletion of miR-15a/16 (miR-15a/16(-/-)) in myeloid cells significantly decreased the bacterial infection-associated mortality in sepsis mouse models. Moreover, miR-15a/16 deficiency (miR-15a/16(-/-)) resulted in augmented phagocytosis and generation of mitochondrial reactive oxygen species in BMDMs. Supportively, overexpression of miR-15a/16 using miRNA mimics led to decreased phagocytosis and decreased generation of mitochondrial reactive oxygen species. Mechanistically, deletion of miR-15a/16 upregulated the expression of TLR4 via targeting the principle transcriptional regulator PU.1 locating on the promoter region of TLR4, and further modulated the downstream signaling molecules of TLR4, including Rho GTPase Cdc 42 and TRAF6. In addition, deficiency of miR-15a/16 also facilitated TLR4-mediated proinflammatory cytokine/chemokine release from BMDMs at the initial phase of infections. Taken together, miR-15a/16 altered phagocytosis and bacterial clearance by targeting, at least partially, on the TLR4-associated pathways, subsequently affecting the survival of septic mice.

Morphological change of CD4(+) T cell during contact with DC modulates T-cell activation by accumulation of F-actin in the immunology synapse.

BACKGROUND: The changes in T-cell morphology during immunological synapse (IS) formation are essential for T-cell activation. Previous researches have shown that T cell changed from spherical to elongated and/or flattened during in contact with B cell. As most powerful antigen presenting cell, dendritic cell (DC) has a strong ability to activate T cells. However, the morphological change of T cell which contacts DC and the relationship between morphological change and T-cell activation are not very clear. Thus, we studied the morphological change of CD4(+) T cell during contact with DC. RESULTS: Using live-cell imaging, we discovered diversity in the T-cell morphological changes during contact with DCs. The elongation-flattening of CD4(+) T cells correlated with a low-level Ca(2+) response and a loss of T-cell receptor (TCR) signalling molecules in the IS, including zeta-chain associated protein kinase 70 (ZAP-70), phospholipase C-γ (PLC-γ) and protein kinase C-θ (PKC-θ), whereas rounding-flattening correlated with sufficient CD4(+) T-cell activation. Different morphological changes were correlated with the different amount of accumulated filamentous actin (F-actin) in the IS. Disruption of F-actin by cytochalasin D impaired the morphological change and the localisation of calcium microdomains in the IS and decreased the calcium response in CD4(+) T cells. CONCLUSION: Our study discovered the diversity in morphological change of T cells during contacted with DCs. During this process, the different morphological changes of T cells modulate T-cell activation by the different amount of F-actin accumulation in the IS, which controls the distribution of calcium microdomains to affect T-cell activation.

miR-222 overexpression may contribute to liver fibrosis in biliary atresia by targeting PPP2R2A.

OBJECTIVE: Biliary atresia (BA) is a devastating liver disease in infants. Progressive hepatic fibrosis is often observed in postoperative patients with BA even after a successful Kasai portoenterostomy procedure. MicroRNA-222 (miRNA) has been linked to the activation of stellate cells and the progression of liver fibrosis. METHODS: In this study, the miR-222 expression profile in BA and infants with anicteric choledochal cyst (CC) was determined. The functional effect of miR-222 inhibition on the growth of the human hepatic stellate cell line LX-2 was also evaluated. The downstream signaling pathways and target of miR-222 were determined by coupling gene expression profiling and pathway analysis and by in silico prediction, respectively. In addition, we demonstrated miR-222 overexpression in patients with BA compared with choledochal cyst controls. RESULTS: Inhibition of miR-222 in the LX-2 cell line significantly decreased cell proliferation. We also identified protein phosphatase 2A subunit B as a target of miR-222. The downstream signaling pathway, Akt, was also influenced by miR-222. A consistent reduction of Akt phosphorylation and Ki67 in the LX-2 line was shown following miR-222 suppression. CONCLUSIONS: Our results show that miR-222 overexpression is common in BA and contributes to LX-2 cell proliferation by targeting protein phosphatase 2A subunit B and Akt signaling.

Suppression of PTRF alleviates the polymicrobial sepsis induced by cecal ligation and puncture in mice.

BACKGROUND: Sepsis and sepsis-associated organ failure are devastating conditions. Understanding the detailed cellular/molecular mechanisms involved in sepsis should lead to the identification of novel therapeutic targets. METHODS: Cecal ligation and puncture (CLP) was used as a polymicrobial sepsis model in vivo to determine mortality and end-organ damage. Macrophages were adopted as the cellular model in vitro for mechanistic studies. RESULTS: PTRF+/- mice survived longer and suffered less organ damage after CLP. Reductions in nitric oxide (NO) and iNOS biosynthesis were observed in plasma, macrophages, and vital organs in the PTRF+/- mice. Using an acute sepsis model after CLP, we found that iNOS-/- mice had a comparable level of survival as the PTRF+/- mice. Similarly, polymerase I transcript release factor (PTRF) deficiency resulted in decreased iNOS and NO/ROS production in macrophages in vitro. Mechanistically, lipopolysaccharide (LPS) enhanced the co-localization and interaction between PTRF and TLR4 in lipid rafts. Deletion of PTRF blocked formation of the TLR4/Myd88 complex after LPS. Consistent with this, lack of PTRF impaired the TLR4 signaling, as shown by the decreased p-JNK, p-ERK, and p-p38, which are upstream factors involved in iNOS transcription. CONCLUSION: PTRF is a crucial regulator of TLR4 signaling in the development of sepsis.

Seasonal isotopic and isotopomeric signatures of nitrous oxide produced microbially in a eutrophic estuary.

Anthropogenic input of excess nutrients stimulates massive nitrous oxide (N2O) production in estuaries with distinct seasonal variations. Here, nitrogen isotopic and isotopomeric signatures were utilized to investigate the seasonal dynamics of N2O production and nitrification at the middle reach of the eutrophic Pearl River Estuary in the south of China. Elevated N2O production primarily via ammonia oxidation (> 1 nM-N d-1) occurred from April to November, along with increased temperature and decreased dissolved oxygen concentration. This consistently oxygenated water column showed active denitrification, contributing 20-40 % to N2O production. The water column microbial N2O production generally constituted a minor fraction (10-15 %) of the estuarine water-air interface efflux, suggesting that upstream transport and tidal dilution regulated the dissolved N2O inventory in the middle reach of the estuary. Nitrification (up to 3000 nM-N d-1) played a critical role in bioavailable nitrogen conversion and N2O production, albeit with N2O yields below 0.05 %.

Developing a machine learning-based prognosis and immunotherapeutic response signature in colorectal cancer: insights from ferroptosis, fatty acid dynamics, and the tumor microenvironment.

Instruction: Colorectal cancer (CRC) poses a challenge to public health and is characterized by a high incidence rate. This study explored the relationship between ferroptosis and fatty acid metabolism in the tumor microenvironment (TME) of patients with CRC to identify how these interactions impact the prognosis and effectiveness of immunotherapy, focusing on patient outcomes and the potential for predicting treatment response. Methods: Using datasets from multiple cohorts, including The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO), we conducted an in-depth multi-omics study to uncover the relationship between ferroptosis regulators and fatty acid metabolism in CRC. Through unsupervised clustering, we discovered unique patterns that link ferroptosis and fatty acid metabolism, and further investigated them in the context of immune cell infiltration and pathway analysis. We developed the FeFAMscore, a prognostic model created using a combination of machine learning algorithms, and assessed its predictive power for patient outcomes and responsiveness to treatment. The FeFAMscore signature expression level was confirmed using RT-PCR, and ACAA2 progression in cancer was further verified. Results: This study revealed significant correlations between ferroptosis regulators and fatty acid metabolism-related genes with respect to tumor progression. Three distinct patient clusters with varied prognoses and immune cell infiltration were identified. The FeFAMscore demonstrated superior prognostic accuracy over existing models, with a C-index of 0.689 in the training cohort and values ranging from 0.648 to 0.720 in four independent validation cohorts. It also responses to immunotherapy and chemotherapy, indicating a sensitive response of special therapies (e.g., anti-PD-1, anti-CTLA4, osimertinib) in high FeFAMscore patients. Conclusion: Ferroptosis regulators and fatty acid metabolism-related genes not only enhance immune activation, but also contribute to immune escape. Thus, the FeFAMscore, a novel prognostic tool, is promising for predicting both the prognosis and efficacy of immunotherapeutic strategies in patients with CRC.

PIVKA-II combined with alpha-fetoprotein for the diagnostic value of hepatic tumors in children: a multicenter, prospective observational study.

BACKGROUND: To investigate whether protein induced by vitamin K antagonist-II (PIVKA-II) combined with alpha-fetoprotein (AFP) can improve the diagnostic and differential diagnostic accuracy of childhood hepatic tumors. METHODS: A multi-center prospective observational study was performed at nine regional institutions around China. Children with hepatic mass (Group T) were divided into hepatoblastoma group (Group THB) and hemangioendothelioma group (Group THE), children with extrahepatic abdominal mass (Group C). Peripheral blood was collected from each patient prior to surgery or chemotherapy. The area under the curve (AUROC) was used to evaluate the diagnostic efficiency of PIVKA-II and the combined tumor markers with AFP. RESULTS: The mean levels of PIVKA-II and AFP were both significantly higher in Group T than Group C (p = 0.001, p < 0.001), in Group THB than Group THE (p = 0.018, p = 0.013) and in advanced HB than non-advanced HB (p = 0.001, p = 0.021). For the diagnosis of childhood hepatic tumors, AUROC of PIVKA-II (cut-off value 32.6 mAU/mL) and AFP (cut-off value 120 ng/mL) was 0.867 and 0.857. The differential diagnostic value of PIVKA-II and AFP in hepatoblastoma from hemangioendothelioma was further assessed, AUROC of PIVKA-II (cut-off value 47.1mAU/mL) and AFP (cut-off value 560 ng/mL) was 0.876 and 0.743. The combined markers showed higher AUROC (0.891, 0.895 respectively) than PIVKA-II or AFP alone. CONCLUSIONS: The serum level of PIVKA-II was significantly higher in children with hepatic tumors, especially those with malignant tumors. The combination of PIVKA-II with AFP further increased the diagnostic performance. TRIAL REGISTRATION: Clinical Trials, NCT03645655. Registered 20 August 2018, https://www. CLINICALTRIALS: gov/ct2/show/NCT03645655 .

Neddylation pathway regulates the proliferation and survival of macrophages.

Neddylation is a new type of protein post-translational modification which adds the ubiquitin-like molecule Nedd8 to target proteins. The well-identified targets of neddylation are cullins, which serve as essential components of Cullin-RING E3 ligases (CRL). It is reported that inhibition of neddylation repressed NF-κB-mediated proinflammatory cytokine production in macrophages. However, the role of neddylation in the proliferation and survival of macrophages has not been well defined. Here we report that partial inactivation of the neddylation pathway by a specific Nedd8-activating enzyme E1 (NAE) inhibitor MLN4924 reduced LPS-induced production of the proinflammatory cytokines TNF-α and IL-6 without obvious impairment of cell viability. However, persistent and severe inactivation of neddylation by MLN4924 significantly inhibited cell proliferation by inducing G2 phase cell-cycle arrest and further triggered cell death by inducing apoptosis in RAW264.7 macrophages. Mechanistic analysis revealed that inactivation of neddylation blocked cullin neddylation, inhibited CRL E3 ligase activity, and thus led to the accumulation of CRL substrates, resulting in cell-cycle arrest, DNA damage response and apoptosis. The findings revealed that neddylation serves as an important signaling pathway regulating the proliferation and survival of macrophages.

MiR-34a inhibits lipopolysaccharide-induced inflammatory response through targeting Notch1 in murine macrophages.

Inflammatory responses are complex events occurring when the host immune system fights against invading pathogens, which are double-edged swords requiring appropriate control. MicroRNAs (miRNAs), emerging as a new layer of gene-regulation mechanism, have been reported to have crucial effects on inflammation. In the current study, we identified miR-34a, previously known for its potent tumor suppressive role, to be a novel inflammation regulator. We found that the expression of miR-34a was downregulated in macrophages after lipopolysaccharide (LPS) stimulation. MiR-34a mimics decreased, while the inhibition of miR-34a increased, the expression of inflammatory cytokines tumor necrosis factor- (TNF-) and interleukin-6 (IL-6) in LPS treated RAW264.7 cells. Bioinformatics predictions revealed a potential binding site of miR-34a in 3' untranslated region (UTR) of Notch1 and it was further confirmed by luciferase assay. Moreover, both the mRNA and protein level of Notch1 were downregulated by miR-34a in RAW264.7. Subsequently, knockdown of Notch1 with either genetic or pharmacological inhibition exhibited similar effects as miR-34a mimics on LPS-induced macrophage inflammatory response. Furthermore, the NF-κB activation induced by LPS was also significantly suppressed by miR-34a. These results together identify, for the first time, miR-34a as a negative regulator in LPS-induced inflammation at least partially by targeting Notch1. Besides extending the knowledge of miR-34a from tumor suppressor to inflammation regulator, this study also provides an implication that compounds which can enhance miR-34a expression or miR-34a itself may hold a promise in anti-inflammatory drugs development.

High-performance shim coil design and engineering optimization for use in an extremely high field superconducting magnet.

The extremely high field has significant advantages in imaging quality and analyzing the fine structure of substances. However, its excellent performance requires the support of a higher-performance shim technique. In this paper, a novel structural design pattern of the shim coil for a 27 T extremely high field superconducting magnet is proposed. According to the contours of the stream function, we designed and optimized the shim coil pattern and engineering processing. The novel design was realized by using the contours as the centerline, and the wire spacing was controlled at 1 mm. The performance of the novel pattern was compared with those of alternative winding schemes. The results indicate that the novel design can improve coil performance, achieving higher fidelity and lower power dissipation.