Osteogenesis and angiogenesis of a bulk metallic glass for biomedical implants

Implantation is an essential issue in orthopedic surgery. Bulk metallic glasses (BMGs), as a kind of novel materials, attract lots of attentions in biological field owing to their comprehensive excellent properties. Here, we show that a Zr61Ti2Cu25Al12 (at. %) BMG (Zr-based BMG) displays the best cytocompatibility, pronounced positive effects on cellular migration, and tube formation from in-vitro tests as compared to those of commercial-pure titanium and poly-ether-ether-ketone. The in-vivo micro-CT and histological evaluation demonstrate the Zr-based BMG can significantly promote a bone formation. Immunofluorescence tests and digital reconstructed radiographs manifest a stimulated effect on early blood vessel formation from the Zr-based BMG. Accordingly, the intimate connection and coupling effect between angiogenesis and osteogenesis must be effective during bone regeneration after implanting Zr-based BMG. Dynamic gait analysis in rats after implanting Zr-based BMG demonstrates a tendency to decrease the pain level during recovery, simultaneously, without abnormal ionic accumulation and inflammatory reactions. Considering suitable mechanical properties, we provide a realistic candidate of the Zr61Ti2Cu25Al12 BMG for biomedical applications.

Combined and interactive effects of alcohol drinking and cigarette smoking on the risk of severe illness and poor clinical outcomes in patients with COVID-19: A multicentre retrospective cohort study

Objectives

Cigarette smoking is an established risk factor for illness severity and adverse outcomes in patients with COVID-19. Alcohol drinking may also be a potential risk factor for disease severity. However, the combined and interactive effects of drinking and smoking on COVID-19 have not yet been reported. This study aimed to examine the combined and interactive effects of alcohol drinking and cigarette smoking on the risk of severe illness and poor outcomes in patients with COVID-19.

Study design

This was a multicentre retrospective cohort study.

Methods

This study retrospectively reviewed the data of 1399 consecutive hospitalised COVID-19 patients from 43 designated hospitals. Patients were grouped according to different combinations of drinking and smoking status. Multivariate mixed-effects logistic regression models were used to estimate the combined and interactive effects of drinking and smoking on the risk of severe COVID-19 and poor clinical outcomes.

Results

In the study population, 7.3% were drinkers/smokers, 4.3% were drinkers/non-smokers and 4.9% were non-drinkers/smokers. After controlling for potential confounders, smokers or drinkers alone did not show a significant increase in the risk of severe COVID-19 or poor clinical outcomes compared with non-drinkers/non-smokers. Moreover, this study did not observe any interactive effects of drinking and smoking on COVID-19. Drinkers/smokers had a 62% increased risk (odds ratio = 1.62, 95% confidence interval: 1.01-2.60) of severe COVID-19 but did not have a significant increase in the risk for poor clinical outcomes compared with non-drinkers/non-smokers.

Conclusions

Combined exposure to drinking and smoking increases the risk of severe COVID-19, but no direct effects of drinking or smoking, or interaction effects of drinking and smoking, were detected.

Molecular cloning and yeast two-hybrid provide new evidence for unique sporophytic self-incompatibility system of Corylus

The Corylus genus contains several important nut producing species and exhibits sporophytic self-incompatibility (SSI). However, the underlying molecular mechanisms of SSI in Corylus remain largely unknown. To clarify whether Corylus and Brassica share the same SSI molecular mechanism. We cloned ChaTHL1/2, ChaMLPK, ChaARC1, ChaEX70A1 genes from Ping'ou hybrid hazelnut using RACE techniques and tested the interaction between the ChaARC1 and ChaSRK1/2. We also examined the pistil-pollen interactions using scanning electron microscopy. We found no differences in the stigma surface within 1 h after compatible or incompatible pollination. Compatible pollen tubes penetrated the stigma surface, while incompatible pollen did not penetrate the stigma 4 h after pollination. Bioinformatics analysis revealed that ChaTHL1/2, ChaMLPK, ChaARC1 and ChaEX70A1 have corresponding functional domains. Quantitative real-time PCR (qRT-PCR) analysis showed that ChaTHL1/2, ChaMLPK, ChaARC1 and ChaEX70A1 were not regularly expressed in compatible or incompatible pollination. Furthermore, the expression patterns of ARC1, THL1/2, MLPK and Exo70A1 were quite distinct between Corylus and Brassica. According to yeast two-hybrid assays, ChaSRK1/2 did not interact with ChaARC1, confirming that the SRK-ARC1 signalling pathway implicated in the SSI response of Brassica was not conserved in Corylus. These results further reinforce the conclusion that, notwithstanding the similarity of the genetic basis, the SSI mechanism of Corylus does not conform in many respects with that of Brassica. Our findings could be helpful to better explore the potential mechanism of SSI system in Corylus.

Prediction and verification of survival in patients with non-small-cell lung cancer based on an integrated radiomics nomogram

AIM

To develop and validate a nomogram to predict 1-, 2-, and 5-year survival in patients with non-small-cell lung cancer (NSCLC) by combining optimised radiomics features, clinicopathological factors, and conventional image features extracted from three-dimensional (3D) computed tomography (CT) images.

MATERIALS AND METHODS

A total of 172 patients with NSCLC were selected to construct the model, and 74 and 72 patients were selected for internal validation and external testing, respectively. A total of 828 radiomics features were extracted from each patient's 3D CT images. Univariable Cox regression and least absolute shrinkage and selection operator (LASSO) regression were used to select features and generate a radiomics signature (radscore). The performance of the nomogram was evaluated by calibration curves, clinical practicability, and the c-index. Kaplan-Meier (KM) analysis was used to compare the overall survival (OS) between the two subgroups.

RESULT

The radiomics features of the NSCLC patients correlated significantly with survival time. The c-indexes of the nomogram in the training cohort, internal validation cohort, and external test cohort were 0.670, 0.658, and 0.660, respectively. The calibration curves showed that the predicted survival time was close to the actual survival time. Decision curve analysis shows that the nomogram could be useful in the clinic. According to KM analysis, the 1-, 2- and 5-year survival rates of the low-risk group were higher than those of the high-risk group.

CONCLUSION

The nomogram, combining the radscore, clinicopathological factors, and conventional CT parameters, can improve the accuracy of survival prediction in patients with NSCLC.

Measurement of the Sixth-Order Cumulant of Net-Proton Multiplicity Distributions in Au+Au Collisions at sqrt[s_{NN}]=27, 54.4, and 200 GeV at RHIC

According to first-principle lattice QCD calculations, the transition from quark-gluon plasma to hadronic matter is a smooth crossover in the region μ_{B}≤T_{c}. In this range the ratio, C_{6}/C_{2}, of net-baryon distributions are predicted to be negative. In this Letter, we report the first measurement of the midrapidity net-proton C_{6}/C_{2} from 27, 54.4, and 200 GeV Au+Au collisions at the Relativistic Heavy Ion Collider (RHIC). The dependence on collision centrality and kinematic acceptance in (p_{T}, y) are analyzed. While for 27 and 54.4 GeV collisions the C_{6}/C_{2} values are close to zero within uncertainties, it is observed that for 200 GeV collisions, the C_{6}/C_{2} ratio becomes progressively negative from peripheral to central collisions. Transport model calculations without critical dynamics predict mostly positive values except for the most central collisions within uncertainties. These observations seem to favor a smooth crossover in the high-energy nuclear collisions at top RHIC energy.

CD8αα+T cells exert a pro-inflammatory role in patients with psoriasis

Background

Psoriasis is a common chronic inflammatory disease caused by excessive activation of CD4⁺T cells, including Th17, Th1 and Th22. The role of CD8⁺T cells in psoriasis pathogenesis remains poorly understood.

Aim

To identify the phenotype of CD8⁺T cells in patients with psoriasis and to investigate its role in the formation of lesions.

Methods

The phenotype of CD8⁺T cells in psoriatic lesions was detected by immunofluorescence staining. Flow cytometry was performed to detect their phenotype in peripheral blood. Thereafter, coculture of CD8αα⁺T cells with autogenous CD4⁺T cells was performed to investigate the function of CD8αα⁺T cells in patients with psoriasis. Finally, pro‐inflammatory factors produced by CD8αα⁺T cells were examined by immunofluorescence staining and flow cytometry.

Results

Compared to the CD8αβ⁺T cells, CD8αα⁺T cell infiltration in psoriatic lesions markedly increased. Moreover, epidermal CD8αα⁺T cells exhibited tissue‐resident memory T cells (T_RM) phenotypes and dermal CD8αα⁺T cells exhibited effector memory (T_EM) phenotypes in psoriatic lesions. Additionally, we found that CD8αα⁺T cells from patients with psoriasis did not express the markers of regulatory T cells and could promote the proliferation of CD4⁺T effector cells and produce interleukin‐17 and interferon‐γ.

Conclusions

Our findings demonstrate that CD8αα⁺T cells contribute to the pathogenesis of psoriasis by producing pro‐inflammatory factors.

Expression and immunogenicity study of a novel mhp183 gene fragment of Mycoplasma hyopneumoniae

A highly immunogenic nucleotide fragment (195bp) was selected from the Mhp183 gene of Mycoplasma hyopneumoniae using information software technology and was named Mhp183195bp. Three Mhp183195bp were linked to form a new nucleotide sequence called Mhp183615bp. Mhp183615bp was directly synthesized and cloned into a pET100 vector and expressed in Escherichia coli. After purification, the proteins were successfully validated using SDS-PAGE and Western blot. BALB/c mice were injected with purified proteins on the first, eighth, and fifteenth days of feeding, respectively; serum samples were collected from mice on the day of immunization and on the 22nd day after immunization. The antibody level in mouse serum was detected by Western blotting using purified expressed proteins as antigens. IL-2, TNF-α and IFN-γ were simultaneously detected in mouse serum by ELISA. The 30 kDa protein was successfully expressed and reacted specifically with the specific serum Mhp His-Tag mouse monoclonal antibody and pig antibody. The expressed recombinant protein was immunogenic. The expression levels of IFN-γ, IL-2 and TNF-α were found to be significantly higher on day 22 than in the control group. This study suggests that the expressed recombinant protein could be used as one of the novel vaccine candidates for Mhp.

[Outcomes of 1 000 cases of robotic thyroidectomy by bilateral axillo-breast approach: a retrospective study in a single center]

Objective: To examine the surgical outcome, completeness and safety of robotic thyroidectomy by bilateral axillo-breast approach (BABA). Methods: From February 2014 to May 2019, 1 000 cases of robotic thyroidectomy via BABA at the Department of Thyroid and Breast Surgery, the 960^th Hospital of People's Liberation Army were performed. The clinicopathologic characteristics, operation times, perioperative complications, and oncologic outcomes of patients underwent robotic thyroidectomy were collected and reviewed retrospectively. There were 216 males and 784 females, aging (42.3±11.5) years (range: 7 to 75 years). There were 270 cases with benign tumors, and 730 cases with malignant cancers (the tumor diameter was (7.9±6.7) mm (range: 0.1 to 60.0 mm)). Results: There were 999 patients received robotic thyroidectomy using BABA approach successfully, while only 1 case conversed to open operation. The postoperative hospital stay was (7.5±2.5) days (range: 2 to 30 days). Among the 730 patients with thyroid cancers, 725 cases (99.3%) were papillary thyroid carcinoma, 579(79.3%) cases were with papillary thyroid microcarcinoma. Lymph node metastasis was observed in 371(50.8%) cases. The retrieved central lymph node number was 11.2±6.1 (range: 1 to 44),and the retrieved lateral lymph node number was 14.0±8.8 (range: 1 to 52). Postoperative transient hypoparathyroidism and vocal cord palsy occurred in 247(24.70%) and 56(5.60%) cases. Both of permanent hypoparathyroidism and vocal cord palsy occurred in 2 (0.20%) cases. Other surgical complications included chyle leakage (6.1%, 28/460), trachea injury (0.40%, 4/1 000), carotid artery injury (0.10%, 1/1 000). Local regional lymph node recurrence was developed in 4 patients. All patients were satisfied with the postoperative cosmetic outcomes. Conclusions: Robotic thyroidectomy by BABA is safe and effective, suitable for large benign tumors and early thyroid cancers with central or lateral lymph node metastasis. It could obtain superior cosmetic results.

Application of deep learning to auto-delineation of target volumes and organs at risk in radiotherapy

The technological advancement heralded the arrival of precision radiotherapy (RT), thereby increasing the therapeutic ratio and decreasing the side effects from treatment. Contour of target volumes (TV) and organs at risk (OARs) in RT is a complicated process. In recent years, automatic contouring of TV and OARs has rapidly developed due to the advances in deep learning (DL). This technology has the potential to save time and to reduce intra- or inter-observer variability. In this paper, the authors provide an overview of RT, introduce the concept of DL, summarize the data characteristics of the included literature, summarize the possible challenges for DL in the future, and discuss the possible research directions.

Automatic Recognition of Fish Behavior with a Fusion of RGB and Optical Flow Data Based on Deep Learning

Simple Summary

Animal behaviors are critical for survival, which is expressed over a long period of time. The emergence of computer vision and deep learning technologies creates new possibilities for understanding the biological basis of these behaviors and accurately quantifying behaviors, which contributes to attaining high production efficiency and precise management in precision farming. Here, we demonstrate that a dual-stream 3D convolutional neural network with RGB and optical flow video clips as input can be used to classify behavior states of fish schools. The FlowNet2 based on deep learning, combined with a 3D convolutional neural network, was first applied to identify fish behavior. Additionally, the results indicate that the proposed non-invasive recognition method can quickly, accurately, and automatically identify fish behaviors across hundreds of hours of video.

Abstract

The rapid and precise recognition of fish behavior is critical in perceiving health and welfare by allowing farmers to make informed management decisions on recirculating aquaculture systems while reducing labor. The conventional recognition methods are to obtain movement information by implanting sensors on the skin or in the body of the fish, which can affect the normal behavior and welfare of the fish. We present a novel nondestructive method with spatiotemporal and motion information based on deep learning for real-time recognition of fish schools’ behavior. In this work, a dual-stream 3D convolutional neural network (DSC3D) was proposed for the recognition of five behavior states of fish schools, including feeding, hypoxia, hypothermia, frightening and normal behavior. This DSC3D combines spatiotemporal features and motion features by using FlowNet2 and 3D convolutional neural networks and shows significant results suitable for industrial applications in automatic monitoring of fish behavior, with an average accuracy rate of 95.79%. The model evaluation results on the test dataset further demonstrated that our proposed method could be used as an effective tool for the intelligent perception of fish health status.

P13.15 Pre-clinical trial of T601 oncolytic virus for high grade glima via intra-tumoral injection

BACKGROUND

An effective therapeutic method still hasn’t been devised for lethal high grade glioma. Thus, a method with high anti-tumoral efficiency, tumoral targeting, and acceptable side effect needs to be designed. Oncolytic virotherapy which can specifically lyse tumor cells via mass replication and deleting nucleotide metabolism related gene, like TK, required in viral replication and overexpressed in tumor cells, provides hope for patients. However, the virus only contained TK deletion is unable to show sufficient specificity of anti-tumoral response in tumor cells. Here, the adapted strain of vaccinia virus with high tumoral specificity due to TK and RR deletion and FUC1 insertion, named T601, is chosen in this project. In clinical application, intra-tumoral injection showed improved anti-tumoral efficiency and acceptable side effect. However, intra-tumoral viral injection in orthotropic glioma model is rare. In this project, various biosafety and antitumoral efficiency parameter would be tested for confirming the biosafety and reliability of intra-tumoral T601 viral injection for future clinical trials.

MATERIAL AND METHODS

For measuring the IC50 of T601, 10 different amounts of virus was tested in vitro via calculating cell viability with CCK-8(cell counting kit-8). For measuring the further antitumoral response of FCU1, different concentration of the 5-FC was added into the medium with IC50 viral amount. To ensure the biosafety of T601, MTD (maximum tolerance dose) was measured. Based on the MTD result, for evaluating the anti-tumoral efficiency, 106 pfu,105 pfu,104 pfu of virus was intra-tumoral injected in orthotopic GBM bearing mice. Tumor size was measured once a week through in vivo bioimaging system.

RESULTS

0.022 MOI, the IC50 of T601, showed high cytotoxicity of T601. Moreover, the significantly decreased cell viability under the combined treatment of 5-FC and 0.22MOI T601 showed intact anti-tumoral function. In MTD assay, except for 107 group, no significant weight loss was found. However, in 107 pfu group, mean body weight decreased around 10% and animal fatality happened on day 9. According to the MTD result, certain amount of virus was intra-tumorally injected. In all treatment group, the tumor size was significantly shrined. At the same time, the survival rate of mice under viral treatment was significantly extended.

CONCLUSION

In summary, T601 exhibited efficient anti-tumoral function and acceptable side effect. T601 treatment prolonged the survival period of GBM mice with acceptable neurotoxicity, demonstrating that T601 contains necessary criterial for intra-tumoral injection. Ultimately, this project provided basic reference information of dose for future clinical trial.