Ultrasound-guided pericapsular nerve group (PENG) block for early analgesia in elderly patients with hip fractures: a single-center prospective randomized controlled study.

BACKGROUND: The aim of this study was to compare the efficacy of ultrasound-guided PENG (pericapsular nerve group) block and drug therapy with intravenous flurbiprofen for early analgesia in elderly patients with hip fractures after hospitalization. METHODS: This is a single-center, observer-blinded, prospective, randomized, controlled trial. A total of 41 elderly patients (aged 60 or older) with hip fractures were enrolled in the current study. Patients were randomly assigned to two groups: Group P (ultrasound-guided PENG block, 20 mL of 0.375% ropivacaine) and Group F (intravenous flurbiprofen 50 mg). The primary outcome measure was the dynamic (passive straight leg raising 15°) NRS (numerical rating scale 0 to 10) pain scores at different time points. The secondary outcomes were the static NRS scores at different time points, the number of rescue analgesia sessions, patient satisfaction, and the incidence of complications. RESULTS: Patients in the two groups had comparable baseline characteristics. The group P had lower dynamic and static NRS scores at 15 min, 30 min, 6 h, and 12 h after intervention (P<0.05) than the group F. The highest NRS pain scores in the group P were still lower than the NRS scores in the group F at 30 min-12 h (Group F: 5.57±1.54 vs. Group P: 3.00±1.12, P<0.001), and there was no significant difference between the two groups at 12-24 h (Group F: 6.35±1.79 vs. Group P: 5.90±1.83, P>0.05). The group P had higher satisfaction scores (Group P: 9 (9,9) vs. Group F: 8 (7,8), P<0.001). There was no statistically significant difference in the number of rescue analgesics at 0-12 h or 12-24 h or the incidence of complications between the groups. CONCLUSIONS: Compared with intravenous flurbiprofen, ultrasound-guided PENG block provides better early analgesic effects in elderly patients with hip fractures, and a PENG block is safe for elderly patients with hip fractures after hospitalization. Trial registration This study was registered in the Chinese Clinical Trial Testing Center (ID: ChiCTR2200062400).

Glabridin Functions as a Quorum Sensing Inhibitor to Inhibit Biofilm Formation and Swarming Motility of Multidrug-Resistant Acinetobacter baumannii.

Objective: Acinetobacter baumannii is a hazardous bacterium that causes hospital-acquired nosocomial infections, and the advent of multidrug-resistant A. baumannii (MDR-AB) strains is concerning. Novel antibacterial therapeutic strategies must be developed. The biological effects of glabridin on MDR-AB were investigated in this study. Methods: The minimum inhibitory concentrations (MICs) of glabridin against eight clinical MDR-AB strains were determined using the broth microdilution technique. Crystal violet staining was used to assess biofilm development, which has significant contribution to bacterial resistance. Swarming motility was measured according to surface growth zone of MDR-AB on LB agar medium. qRT-PCR was used to evaluate the expression of quorum sensing genes abaI and abaR. Glabridin and routinely used therapeutic antimicrobial agents were tested for synergistic action using the checkerboard method. Results: According to our findings, glabridin suppressed MDR-AB growth at high doses (512-1024 µg/mL). The 1/4 MIC of glabridin significantly decreased MDR-AB biofilm formation by 19.98% (P < 0.05), inhibited MDR-AB motility by 44.27% (P < 0.05), whereas the 1/2 MIC of glabridin dramatically reduced MDR-AB biofilm development by 27.43% (P < 0.01), suppressed MDR-AB motility by 50.64% (P < 0.05). Mechanistically, glabridin substantially downregulated the expression of quorum sensing-related genes abaI and abaR by up to 39.12% (P < 0.001) and 25.19% (P < 0.01), respectively. However, no synergistic effect between glabridin and antibacterial drugs was found. Conclusion: Glabridin might be a quorum sensing inhibitor that inhibits MDR-AB biofilm development and swarming motility.

Variational Relational Point Completion Network for Robust 3D Classification.

Real-scanned point clouds are often incomplete due to viewpoint, occlusion, and noise, which hampers 3D geometric modeling and perception. Existing point cloud completion methods tend to generate global shape skeletons and hence lack fine local details. Furthermore, they mostly learn a deterministic partial-to-complete mapping, but overlook structural relations in man-made objects. To tackle these challenges, this paper proposes a variational framework, Variational Relational point Completion network (VRCNet) with two appealing properties: 1) Probabilistic Modeling. In particular, we propose a dual-path architecture to enable principled probabilistic modeling across partial and complete clouds. One path consumes complete point clouds for reconstruction by learning a point VAE. The other path generates complete shapes for partial point clouds, whose embedded distribution is guided by distribution obtained from the reconstruction path during training. 2) Relational Enhancement. Specifically, we carefully design point self-attention kernel and point selective kernel module to exploit relational point features, which refines local shape details conditioned on the coarse completion. In addition, we contribute multi-view partial point cloud datasets (MVP and MVP-40 dataset) containing over 200,000 high-quality scans, which render partial 3D shapes from 26 uniformly distributed camera poses for each 3D CAD model. Extensive experiments demonstrate that VRCNet outperforms state-of-the-art methods on all standard point cloud completion benchmarks. Notably, VRCNet shows great generalizability and robustness on real-world point cloud scans. Moreover, we can achieve robust 3D classification for partial point clouds with the help of VRCNet, which can highly increase classification accuracy.

Is a correlation-based investment strategy beneficial for long-term international portfolio investors?

Using negative to low-correlated assets to manage short-term portfolio risk is not uncommon among investors, although the long-term benefits of this strategy remain unclear. This study examines the long-term benefits of the correlation strategy for portfolios based on the stock market in Asia, Central and Eastern Europe, the Middle East and North Africa, and Latin America from 2000 to 2016. Our strategy is as follows. We develop five portfolios based on the average unconditional correlation between domestic and foreign assets from 2000 to 2016. This yields five regional portfolios based on low to high correlations. In the presence of selected economic and financial conditions, long-term diversification gains for each regional portfolio are evaluated using a panel cointegration-based testing method. Consistent across all portfolios and regions, our key cointegration results suggest that selecting a low-correlated portfolio to maximize diversification gains does not necessarily result in long-term diversification gains. Our empirical method, which also permits the estimation of cointegrating regressions, provides the opportunity to evaluate the impact of oil prices, U.S. stock market fluctuations, and investor sentiments on regional portfolios, as well as to hedge against these fluctuations. Finally, we extend our data to cover the years 2017-2022 and find that our main findings are robust. Supplementary Information: The online version contains supplementary material available at 10.1186/s40854-023-00471-9.

A Holistically-Guided Decoder for Deep Representation Learning With Applications to Semantic Segmentation and Object Detection.

Both high-level and high-resolution feature representations are of great importance in various visual understanding tasks. To acquire high-resolution feature maps with high-level semantic information, one common strategy is to adopt dilated convolutions in the backbone networks to extract high-resolution feature maps, such as the dilatedFCN-based methods for semantic segmentation. However, due to many convolution operations are conducted on the high-resolution feature maps, such methods have large computational complexity and memory consumption. To balance the performance and efficiency, there also exist encoder-decoder structures that gradually recover the spatial information by combining multi-level feature maps from a feature encoder, such as the FPN architecture for object detection and the U-Net for semantic segmentation. Although being more efficient, the performances of existing encoder-decoder methods for semantic segmentation are far from comparable with the dilatedFCN-based methods. In this paper, we propose one novel holistically-guided decoder which is introduced to obtain the high-resolution semantic-rich feature maps via the multi-scale features from the encoder. The decoding is achieved via novel holistic codeword generation and codeword assembly operations, which take advantages of both the high-level and low-level features from the encoder features. With the proposed holistically-guided decoder, we implement the EfficientFCN architecture for semantic segmentation and HGD-FPN for object detection and instance segmentation. The EfficientFCN achieves comparable or even better performance than state-of-the-art methods with only 1/3 of their computational costs for semantic segmentation on PASCAL Context, PASCAL VOC, ADE20K datasets. Meanwhile, the proposed HGD-FPN achieves higher mean Average Precision (mAP) when integrated into several object detection frameworks with ResNet-50 encoding backbones.

Transcriptional analysis on biomarkers of liver injury induced by anti-tuberculosis drugs / 上海预防医学

ObjectiveThe study utilized human transcriptome microarray to explore biomarkers for diagnosing drug-induced liver injury （DILI） caused by anti-tuberculosis drugs. MethodsA 6-month follow-up study was conducted on 152 patients treated with anti-tuberculosis drugs in designated hospitals in Shanghai. The blood samples were collected at the 0， 2， 4， 8， 12 and 24 weeks after treatment. According to the clinical biochemical indicators， the research subjects were divided into DILI cases （34 cases） and Control cases （118 cases）. Single factor analysis was conducted on the influencing factors between the two groups. In a 1∶1 matched DILI-control study， RNA samples of 13 pairs of cases were sequenced by the whole transcript expression mRNA array. Differentially expressed genes （DEGs） were screened by Hotelling's T2 value sequencing and the expression trend analysis of genes by STEM （short-time series expression miner）， and the functional enrichment and pathway analysis of DEGs were carried out. ResultsIn total 152 clinical cases， weight of patients was a risk factor for the occurrence of hepatotoxicity caused by anti-tuberculous drugs. Based on the analysis results of mRNA array， 513 DEGs were screened by Hotelling's T2 value sequencing method， which were enriched in 32 annotations of GO （Gene Ontology） analysis and 10 pathways of KEGG （Kyoto encyclopedia of genes and genomes） analysis. One differential expression pattern was screened by STEM， which was enriched in 2 biological process notes of GO. Among them， the key genes AIM2， CD86， CXCL10 and non-coding RNAs SCARNA10， SNHG10 and SNORD105 are potential biomarkers of DILI caused by anti-tuberculosis drugs. ConclusionIn this research for biomarkers conducted on cases with liver injury caused by anti-tuberculosis drugs， biological pathways associated with hepatotoxicity are identified and a series of key genes related with drug-induced liver injury are found， which provides the basis for mechanism study and searching for earlier and more sensitive biomarkers.

Structure and Physical Properties of the Layered Titanium-Based Pnictide Oxides (EuF)2Ti2Pn2O (Pn = Sb, Bi).

We report two novel titanium-based pnictide oxide compounds (EuF)2Ti2Pn2O (Pn = Sb, Bi), which are synthesized by replacing Sr2+ in (SrF)2Ti2Pn2O [Liu, R. H. Structure and Physical Properties of the Layered Pnictide-Oxides: (SrF)2Ti2Pn2O (Pn = As, Sb) and (SmO)2Ti2Sb2O. Chem. Mater. 2010, 22, 1503-1508] with Eu2+ using a solid-state reaction. (EuF)2Ti2Sb2O exhibits an obvious anomaly in resistivity and heat capacity at T ∼ 195 K, which may arise from the spin-density wave/charge-density wave instability. Similar features are also observed in BaTi2Pn2O, (SrF)2Ti2Pn2O, and Na2Ti2Pn2O (Pn = As and Sb) [Liu, R. H. Structure and Physical Properties of the Layered Pnictide-Oxides: (SrF)2Ti2Pn2O (Pn = As, Sb) and (SmO)2Ti2Sb2O. Chem. Mater. 2010, 22, 1503-1508, Ozawa, T. C. Chemistry of layered d-metal pnictide oxides and their potential as candidates for new superconductors. Sci. Technol. Adv. Mater. 2008, 9, 033003, Wang, X. F. Structure and physical properties for a new layered pnictide-oxide: BaTi2As2O. J. Phys.: Condens. Matter. 2010, 22, 075702, and Xu, H. C. Electronic structure of the BaTi2As2O parent compound of the titanium-based oxypnictide superconductor. Phys. Rev. B 2014, 89, 155108]. Magnetic susceptibility measurements indicate an antiferromagnetic transition at T ∼ 2.5 K for (EuF)2Ti2Sb2O. In particular, the electronic specific heat coefficients of both (EuF)2Ti2Sb2O and (EuF)2Ti2Bi2O are significantly enhanced compared to those of (SrF)2Ti2Pn2O, Na2Ti2Pn2O, and BaTi2Pn2O,1,5,6 which may be due to a strong electron correlation effect in this system. Thus, (EuF)2Ti2Pn2O (Pn = Sb, Bi) may provide new platforms for studying density wave, magnetic ordering, and electron correlation effects.

Reconstruction of congenital pseudarthrosis of the clavicle with a barrel-shaped mono-cortical iliac crest autograft: A case report.

BACKGROUND: Congenital pseudarthrosis of the clavicle (CPC) is a rare congenital entity with unresolved aetiology and pathogenesis. Nearly 250 cases have been reported to date. CPC is characterized by a definite defect in the mid-clavicle at birth and is usually diagnosed when the deformity becomes evident in late childhood or adolescence. Surgical management is controversial, especially in asymptomatic children, with various techniques reported in the literature. CASE REPORT: We report a case of a 6-year-old boy who was diagnosed with CPC during a medical examination for primary school enrollment. Operative treatment included debridement of pseudoarthrosis, internal fixation with third tube plate, and barrel-shaped mono-cortical iliac crest autograft. RESULTS: A complete bone union was obtained 9 months after the operation, and satisfactory function and cosmetic appearance were observed 4 years and 3 months postoperatively. CONCLUSION: In our opinion, reconstruction with barrel-shaped mono-cortical iliac crest autograft was an effective and reproducible surgical technique to treat CPC.

Effect of Traditional Chinese Medicine on the Cardiovascular Diseases.

Background: Traditional Chinese medicine (TCM) is the health care system developed with the help of clinical trials that are based ideally on the scientific model of regulation. Objective: This systematic health care system relies on some specific unique theories and practical experiences to treat and cure diseases, thus enhancing the public's health. Review Methodology: The current review covers the available literature from 2000 to 2021. The data was collected from journals research articles, published books, thesis, and electronic databases, search engines such as Google Scholar, Elsevier, EBSCO, PMC, PubMed, ScienceDirect, Willey Online Library, Springer Link, and CNKI) searching key terms, cardiovascular disease, traditional Chinese medicines, natural products, and bioactive compounds. Full-length articles and abstracts were screened for the collection of information included in the paper. Results: Clinical trials on the TCM and basic research carried out on its mechanism and nature have led to the application and development of the perfect design of the research techniques, for example, twofold striking in acupuncture that aid in overcoming the limitations and resistances in integrating and applicability of these experiences and trials into the pre-existing biomedical models. Furthermore, TCM has also been utilized from ancient times to treat heart diseases in Asia, particularly in China, and is now used by people in many other areas. Cardiovascular disease (CVD) is mainly developed by oxidative stress. Hence antioxidants can be beneficial in treating this particular disease. TCM has a wide variety of antioxidant components. Conclusion: The current review article summarizes the underlying therapeutic property of TCM and its mechanism. It also overviews the evidence of the mechanism of TCM action in CVD prevention by controlling oxidative stress and its signaling pathway.

An input-output structural decomposition analysis of changes in China's renewable energy consumption.

Governments actively encourage renewable energy use to deal with climate change and achieve carbon emission reduction targets. It is crucial to find out the driving factors that affect the utilization of renewable energy. Therefore, based on China's 2010-2016 input-output table, this paper uses the input-output model and structural decomposition analysis (SDA) to analyze the driving factors of renewable energy changes in the production end, household end, and the aggregate economy. The results show that the changes in the consumption structure (F) is the most crucial factor for renewable energy use, followed by technology progress (T) and final demand per capita (V). Sector SEHW (supply of electric power, heat power, and water) and MCRP (manufacture of coke and refined petroleum products) are the two vital sectors to achieve China's energy transition of the production level. However, as for households, the proportion of renewable energy has been declining. Hence, the government should promote renewable energy use and achieve the green transition in production and household levels.

Allopurinol attenuates oxidative injury in rat hearts suffered ischemia/reperfusion via suppressing the xanthine oxidase/vascular peroxidase 1 pathway.

Allopurinol, a xanthine oxidase (XO) inhibitor, is reported to alleviate myocardial ischemia/reperfusion (I/R) injury by reducing the production of reactive oxygen species (ROS). As an XO-derived product, H2O2 can act as a substrate of vascular peroxidase 1 (VPO1) to induce the generation of hypochlorous acid (HOCl), a potent oxidant. This study aims to explore whether the XO/VPO1 pathway is involved in the anti-oxidative effects of allopurinol on the myocardial I/R injury. In a rat heart model of I/R, allopurinol alleviated I/R oxidative injury accompanied by decreased XO activity, XO-derived products (H2O2 and uric acid), and VPO1 expression (mRNA and protein). In a cardiac cell model of hypoxia/reoxygenation (H/R), allopurinol or XO siRNA reduced H/R injury concomitant with decreased XO activity, VPO1 expression as well as the XO and VPO1-derived products (H2O2, uric acid, and HOCl). Although knockdown of VPO1 could also exert a beneficial effect on H/R injury, it did not affect XO activity, XO expression, and XO-derived products. Based on these observations, we conclude that the novel pathway of XO/VPO1 is responsible for, at least partly, myocardial I/R-induced oxidative injury, and allopurinol exerted the cardioprotective effects on myocardial I/R injury via inhibiting the XO/VPO1 pathway.

FDI, economic growth, and carbon emissions of the Chinese steel industry: new evidence from a 3SLS model.

Determine the main factors affecting carbon emissions of the Chinese steel industry is indispensable commitments to achieve the sustainable development of China. Hereby, based on the Stochastic Impacts by Regression on Population, Affluence and Technology (STIPRAT) model, this paper combines the economic growth function, carbon emission production function, and the FDI function of the Chinese steel industry, and uses the three-stage least square equation model (3SLS) to analyze the relationship between China's economic growth, carbon emissions in the steel industry, and FDI (foreign direct investment) inflows. The results document a complete two-way causal relationship of three variables in the whole country and the Western region, while the relationship in the Eastern region and the Central region is not complete. Moreover, there are no bidirectional causal relationship between carbon emissions and FDI in the Eastern region, while only bidirectional causality between carbon emissions and FDI in the Central region. These findings are of great significance for the Chinese steel industry to formulate effective emission reduction policies.

Higenamine attenuates cardiac fibroblast abstract and fibrosis via inhibition of TGF-ß1/Smad signaling.

RATIONALE: Higenamine (HG), is one of the main active components in many widely used Chinese herbs, and a common ingredient of health products in Europe and North America. Several groups, including our own, have previously shown the beneficial effects of HG against cardiomyocyte death during acute ischemic damage. However, the effect of HG on chronic cardiac remodeling, such as cardiac fibrosis, remains unknown. OBJECTIVE: Herein, we aim to investigate the role of HG in cardiac fibrosis in vivo as well as its cellular and molecular mechanisms. METHODS AND RESULTS: Chronic pressure overload with transverse aortic constriction (TAC) significantly increased cardiac hypertrophy, fibrosis, and cardiac dysfunction in mice, which were significantly attenuated by HG. Consistently, cardiac fibrosis induced by the chronic infusion of isoproterenol (ISO), was also significantly reduced by HG. Interestingly, our results showed that HG had no effect on adult mouse CM hypertrophy in vitro. However, HG suppressed the activation of cardiac fibroblasts (CFs) in vitro. Furthermore, TGF-ß1-induced expression of ACTA2, a marker of fibroblast activation, was significantly suppressed by HG. Concomitantly, HG inhibited TGF-ß1-induced phosphorylation of Smad2/3 in CFs. HG also reduced the expression of extracellular matrix molecules such as collagen I and collagen III. To our surprise, the inhibitory effect of HG on CFs activation was independent of the activation of the beta2 adrenergic receptor (ß2-AR) that is known to mediate the effect of HG on antagonizing CMs apoptosis. CONCLUSION: Our findings suggest that HG ameliorates pathological cardiac fibrosis and dysfunction at least partially by suppressing TGF-ß1/Smad signaling and CFs activation.

Person Re-Identification With Deep Kronecker-Product Matching and Group-Shuffling Random Walk.

Person re-identification (re-ID) aims to robustly measure visual affinities between person images. It has wide applications in intelligent surveillance by associating same persons' images across multiple cameras. It is generally treated as an image retrieval problem: given a probe person image, the affinities between the probe image and gallery images (P2G affinities) are used to rank the retrieved gallery images. There exist two main challenges for effectively solving this problem. 1) Person images usually show significant variations because of different person poses and viewing angles. The spatial layouts and correspondences between person images are therefore vital information for tackling this problem. State-of-the-art methods either ignore such spatial variation or utilize extra pose information for handling the challenge. 2) Most existing person re-ID methods rank gallery images considering only P2G affinities but ignore the affinities between the gallery images (G2G affinity). Such affinities could provide important clues for accurate gallery image ranking but were only utilized in post-processing stages by current methods. In this article, we propose a unified end-to-end deep learning framework to tackle the two challenges. For handling viewpoint and pose variations between compared person images, we propose a novel Kronecker Product Matching operation to match and warp feature maps of different persons. Comparing warped feature maps results in more accurate P2G affinities. To fully utilize all available P2G and G2G affinities for accurately ranking gallery person images, a novel group-shuffling random walk operation is proposed. Both Kronecker Product Matching and Group-shuffling Random Walk operations are end-to-end trainable and are shown to improve the learned visual features if integrated in the deep learning framework. The proposed approach outperforms state-of-the-art methods on Market-1501, CUHK03 and DukeMTMC datasets, which demonstrates the effectiveness and generalization ability of our proposed approach. Code is available at https://github.com/YantaoShen/kpm_rw_person_reid.

Design, synthesis, and activity study of α-conotoxin A10LPnIA fluorescent probe / 药学学报

italic>α7 nicotinic acetylcholine receptor (nAChR) is widely distributed in the central and peripheral nervous systems, and is closely related to a variety of neurological diseases and inflammation response. α-Conotoxin [A10L]PnIA, as an antagonist targeting α7 nAChR, plays an important role in studying the physiological and pathological processes involved in α7 nAChR. [A10L]PnIA was labeled with fluorescein 5-carboxytetramethylrhodamine, and the active peptide ([A10L]PnIA-F) was obtained by a two-step oxidative folding procedure in vitro. The Xenopus oocyte expression system and the two-electrode voltage clamp technique were used to identify the potency of [A10L]PnIA-F fluorescent peptide, and its cytotoxicity was detected by mouse macrophages and CCK8 method. The molecular weight of [A10L]PnIA-F fluorescent peptide was identified by mass spectrometry as 2 077.28 Da, which was consistent with the theoretical value. Electrophysiological determination of its half-maximal inhibitory concentration (IC50) for α7 nAChR is 17.32 nmol·L-1, which is consistent with [A10L]PnIA (IC50, 13.84 nmol·L-1). The cytotoxicity test results showed that within the concentration range of 5 nmol·L-1 to 10 μmol·L-1, there was no significant inhibition on the growth of mouse macrophages. The results showed that the α-conotoxin fluorescent probe [A10L]PnIA could provide pharmacological tools for the research of α7 nAChR-related neurophysiological and pathological mechanisms.

IBI112, a selective anti-IL23p19 monoclonal antibody, displays high efficacy in IL-23-induced psoriasiform dermatitis.

Psoriasis is a highly prevalent inflammatory skin disease. Plaque psoriasis is the most common type of psoriasis, and the interleukin (IL)-23/IL-17 axis plays a key role in disease progression. In this article, we describe IBI112, a highly potent anti-IL-23 monoclonal antibody under clinical development, which efficiently neutralizes IL23p19, a subunit of IL-23, to abrogate IL-23 binding to its receptor and block downstream signal transducer and activator of transcription 3 (STAT3) phosphorylation. Specifically, IBI112 blocked IL-23 induced downstream IL-17 production from splenocytes. In addition, IBI112 administration reduced skin thickness in a psoriasis-like epidermal hyperplasia mouse model challenged by continuous hIL-23 injection. IBI112 showed synergism with an anti-IL-1R antibody in controlling disease progression in an imiquimod (IMQ) -induced psoriasis model. Moreover, with mutations in Fc fragment of IBI112, extended half-life was observed when compared to the wild-type IgG1 version in both human-FcRn-knock-in mice and cynomolgus monkeys. IBI112 was well tolerated after high dose administration in cynomolgus monkeys. In summary, we have developed an extended half-life, anti-IL-23p19 monoclonal antibody, IBI112, which efficiently neutralized IL-23, blocked IL-23-induced IL-17 production, and alleviated disease symptoms in two mouse models of psoriasis.

Artificial Neural Network Model for Liver Cirrhosis Diagnosis in Patients with Hepatitis B Virus-Related Hepatocellular Carcinoma.

BACKGROUND: Testing for the presence of liver cirrhosis (LC) is one of the most critical diagnostic and prognostic assessments for patients with hepatitis B virus (HBV)-related hepatocellular carcinoma (HCC). More non-invasive tools are needed to diagnose LC but the predictive abilities of current models are still inconclusive. This study aimed to develop and validate a novel and non-invasive artificial neural network (ANN) model for diagnosing LC in patients with HBV-related HCC using routine laboratory serological indicators. METHODS: A total of 1152 HBV-related HCC patients who underwent hepatectomy were included and randomly divided into the training set (n = 864, 75%) and validation set (n = 288, 25%). The ANN model was constructed from the training set using multivariate Logistic regression analysis and then verified in the validation set. RESULTS: The morbidity of LC in the training and validation sets was 41.2% and 46.8%, respectively. Multivariate analysis showed that age, platelet count, prothrombin time and total bilirubin were independent risk factors for LC (P < 0.05). The area under the ROC curve (AUC) analyses revealed that the ANN model had higher predictive accuracy than the Logistic model (ANN: 0.757 vs Logistic: 0.721; P < 0.001), and other scoring systems (ANN: 0.757 vs CP: 0.532, MELD: 0.594, ALBI: 0.575, APRI: 0.621, FIB-4: 0.644, AAR: 0.491, and GPR: 0.604; P < 0.05 for all) in diagnosing LC. Similar results were obtained in the validation set. CONCLUSION: The ANN model has better diagnostic capabilities than other commonly used models and scoring systems in assessing LC risk in patients with HBV-related HCC.

A difluoroboron ß-diketonate based thermometer with temperature-dependent emission wavelength.

We report a series of difluoroboron ß-diketonate fluorophores that manifest temperature-dependent emission wavelength accompanied by a change of fluorescence from green to orange. The distinct emission changes allow convenient and accurate measurements of temperature.

A novel antibody targeting TIM-3 resulting in receptor internalization for cancer immunotherapy.

BACKGROUND: Strategies to reinvigorate exhausted T cells have achieved great efficacy in certain subpopulations of tumor patients. Blocking the antibodies that target programmed cell death protein 1 (PD-1) and cytotoxic T-lymphocyte-associated protein 4 induces durable responses in Hodgkin's lymphoma, melanoma, renal and lung cancers. T cell immunoglobulin mucin-3 (TIM-3) is another well-defined inhibitory receptor that is expressed in terminally differentiated Th1/Tc1 cells, which produces interferon gamma and cytotoxic molecules. It is also significantly expressed on forkhead box P3+ regulatory T cells and innate immune cells such as dendritic cells and macrophages. METHODS: By immunizing BALB/c mice with recombinant TIM-3 and screening of 20 000 hybridoma clones, we selected a monoclonal TIM-3-blocking antibody (IBI104), which shows great efficacy in vitro and in vivo. RESULTS: IBI104 blocks phosphatidylserine interaction with TIM-3 but does not interfere with the interaction of TIM-3 with galectin-9 in ELISA assays. However, in vitro administration of IBI104 induces the potent internalization of TIM-3 in activated T cells to the extent that it will shut down the entire TIM-3 mediated signaling regardless of the ligands. IBI104 shows potent anti-tumor efficacy when combined with anti-PD1 in vivo. CONCLUSIONS: Our results suggest that IBI104 is a promising blocking antibody for TIM-3-mediated suppressive signaling and can serve as effective cancer immunotherapy, especially in combination with anti-PD1.

Comparative study of three cell morphological analysis methods on in vitro micronucleus assay / 上海预防医学

Objective To investigate the feasibility of genotoxicity assessment for chemicals via flow cytometry (FCM) and high-content screening (HCS) based on high-throughput screening in vitro micronucleus assays. Methods In reference to the methodology of OECD TG487, the typical positive controls, cyclophosphamide (CP) and mitomycin C (MMC), were selected.And no serum MEM medium was treated as negative control.Dose range of CP was 5-20 mg/L and MMC was 0.25-1.0 mg/L.CHL cells were treated with three concentrations of each chemical for 4 h.High-throughput screening in vitro micronucleus assays based on FCM and HCS were established.The results of the frequency of micronuclei were compared to traditional cytokinesis blocking micronucleus assay in each group with or without metabolic activation. Results The frequencies of micronuclei induced by CP and MMC (ascending rank) were separately 1.9%, 7.6%, 10.4% and 5.9%, 11.4%, 16.7%, which were obtained by conventional microscopic scoring.The frequencies of micronuclei induced by CP and MMC (ascending rank) were separately 2.8%, 2.6%, 7.8% and 3.2%, 3.7%, 5.1%, which were obtained by flow cytometry screening.The frequencies of micronuclei induced by CP and MMC (ascending rank) were separately2.8%, 6.2%, 9.1% and 7.9%, 10.1%, 10.2%, which were obtained by high-content screening.Compared with negative controls, the differences of the results were statistically significant(P < 0.05), and there was a dose-response relationship. Conclusion In this study, the results of high-throughput screening assays of FCM and HCS are in accordance to the results of traditional cytokinesis blocking micronucleus assay, indicating that high-throughput screening in vitro micronucleus assays could detect micronucleus formation automatically and improve the efficiency.Therefore, the method could provide data support for using high-throughput screening in vitro micronucleus assays into genotoxicity assessment of chemicals.