Coexistence of Superhardness and Metal-Like Electrical Conductivity in High-Entropy Dodecaboride Composite with Atomic-Scale Interlocks.

High electrical conductivity and super high hardness are two sought-after material properties, but both are contradictory because the effective suppression of dislocation movement generally increases the scattering of conducting electrons. Here we synthesized a high-entropy dodecaboride composite (HEDC) with a large number of atomic-scale interlocking layers. It shows a Vickers hardness of 51.2 ± 3.6 GPa under an applied load of 0.49 N and an electrical resistivity of 44.5 µΩ·cm at room temperature. Such HEDC achieves superhardness by inheriting the high intrinsic hardness of its constituent phases and restricting the dislocation motion to further enhance the extrinsic hardness through forming numerous atom-scale interlocks between different slip systems. Moreover, the HEDC maintains the excellent electrical conductivity of the constituent borides, and the competition between two correlating structures produces the special kind of coherent boundary that minimizes the scattering of conducting electrons and does not largely deteriorate the electrical conductivity.

HOTAIR regulates SIRT3-mediated cardiomyocyte survival after myocardial ischemia/reperfusion by interacting with FUS.

BACKGROUND: Myocardial ischemia/reperfusion (I/R) contributes to serious myocardial injury and even death. Therefore, prevention and mitigation of myocardial I/R is particularly important. LncRNA HOTAIR has been reported to be implicated in myocardial I/R progression. However, the detailed molecular mechanism of HOTAIR in cardiomyocyte was explored in myocardial I/R. METHODS: Firstly, cell model of myocardial I/R was established through hypoxia/reoxygenation (H/R). Apoptosis and cell cycle were evaluated utilizing flow cytometry. The corresponding test kits were conducted to monitor the levels of LDH, Caspase3 and Caspase9. The gene expression and protein levels were detected by qPCR and western blot, respectively. RNA pull-down and RIP were performed to verify the interaction between FUS and lncRNA HOTAIR. RESULTS: In AC16 cardiomyocytes treated with H/R, lncRNA HOTAIR and SIRT3 expression were obviously decreased. Overexpression of HOTAIR or SIRT3 could ameliorate H/R-induced cardiomyocyte injury by promoting cell viability, lowering LDH levels, and suppressing cell apoptosis. Further, lncRNA HOTAIR upregulated the expression of SIRT3 via interacting with FUS, thereby promoting the survival of H/R-injured cardiomyocytes. CONCLUSION: LncRNA HOTAIR can improve myocardial I/R by affecting cardiomyocyte survival through regulation of SIRT3 by binding to the RNA binding protein FUS.

Correction: Huang et al. Deep-Learning Based Label-Free Classification of Activated and Inactivated Neutrophils for Rapid Immune State Monitoring. Sensors 2021, 21, 512.

The authors wish to make the following correction to their paper [...].

Deep-Learning Based Label-Free Classification of Activated and Inactivated Neutrophils for Rapid Immune State Monitoring.

The differential count of white blood cells (WBCs) is one widely used approach to assess the status of a patient's immune system. Currently, the main methods of differential WBC counting are manual counting and automatic instrument analysis with labeling preprocessing. But these two methods are complicated to operate and may interfere with the physiological states of cells. Therefore, we propose a deep learning-based method to perform label-free classification of three types of WBCs based on their morphologies to judge the activated or inactivated neutrophils. Over 90% accuracy was finally achieved by a pre-trained fine-tuning Resnet-50 network. This deep learning-based method for label-free WBC classification can tackle the problem of complex instrumental operation and interference of fluorescent labeling to the physiological states of the cells, which is promising for future point-of-care applications.

A Case-Control Study of the Association of the Polymorphisms of MTHFR and APOE with Risk Factors and the Severity of Coronary Artery Disease.

OBJECTIVES: To explore the association between single-nucleotide polymorphisms (SNPs) in MTHFR and APOE and the risk of CAD and, more importantly, the severity of CAD and the profile of serum lipids, we performed a case-control study in a Chinese Han population. METHODS: A total of 1,207 cases of consecutive CAD-suspected inpatients were recruited, and 406 CAD cases and 231 non-CAD controls were enrolled for the final analysis after screening for exclusion criteria. All subjects had undergone coronary angiography, and the severity of CAD was evaluated by 2 cardiologists according to the Gensini scores. The genotypes of MTHFR and APOEwere detected using real-time PCR, and then verified by Sanger sequencing. Environmental risk factors, such as age, sex, smoking, alcohol consumption, hypertension, diabetes, dyslipidemia, and BMI were collected. Statistical analyses (the χ2 test, binary logistic regression analysis, and ordinal polytomous logistic regression analysis) were performed with SPSS v16.0. RESULTS: The genotypes ofall the subjects included in the CAD and non-CAD groups in this study were successfully detected, with an agreement of 100% with Sanger sequencing. The distributions of genotypes CT and TT at MTHFR C667T were higher in CAD cases than in non-CAD controls (OR 1.99, 95% CI 1.34-2.95; OR 1.77, 95% CI 1.18-2.67; p < 0.05), whereas genotype AC at MTHFR A1298Cwas lower in CAD cases (OR 0.71, 95% CI 0.50-1.02; p < 0.05). A significant association was observed in genotypes CT and TT at MTHFR C667T and the risk of CAD (OR 1.44, 95% CI 1.27-3.67; OR 1.56, 95% CI 0.88-2.78; p < 0.05). Both genotypes and alleles of APOE were comparable in the CAD cases and non-CAD controls (p > 0.05). The genotype TT at MTHFR C667T and ε4+ at APOE were more likely to be found in the CAD subgroup with a Gensini score ≥72 (p = 0.040 and p = 0.028, respectively). Meanwhile, in the patients with genotype TT,a higher level of serum Hcy was detected, while genotype ε4+ patients possessed higher levels of serum apolipoprotein E (ApoE) and low-density lipoprotein cholesterol (LDL-C) than other genotypes. CONCLUSION: This study revealed that the SNP site of MTHFR C667Tis associatedwith the risk of CAD in this Chinese Han population. In addition, the genotypes of TT in MTHFR C667T and ε4+in APOE may increase the severity of CAD, and higher Hcy, LDL-C, and ApoE levels may be involved in this pathogenic process.

Elevated D-dimer levels predict adverse outcomes in hospitalised elderly patients with chronic heart failure.

BACKGROUND: Elevated D-dimer levels have been associated with poor outcomes in patients with cardiovascular disease. AIM: To study this association in elderly patients with chronic heart failure (CHF). METHODS: We analysed 1355 elderly patients who were admitted with CHF. All patients had D-dimer levels measured within the first 24 h following admission. A multivariate logistic regression model was used to assess the variables associated with chronic kidney disease. We used Cox regression analysis to assess the multivariable relationship between the D-dimer and subsequent all-cause death. RESULTS: In the multiple logistic regression analysis, the D-dimer was identified as a risk factor for chronic kidney disease (odds ratio = 1.278, 95% confidence interval 1.138 to 1.436, P < 0.001). The optimal cut-off level for D-dimer to predict all-cause death was found to be >885 ng/mL. In the multivariate Cox proportional-hazards model, a D-dimer level >885 ng/mL remained significantly associated with all-cause death (hazard ratio = 2.003, 95% confidence interval 1.334 to 3.010, P = 0.001). Additional analyses revealed that higher D-dimer levels were associated with an increased risk of all-cause death irrespective of the subtype of heart failure (including heart failure with reduced ejection fraction and heart failure with preserved ejection fraction). CONCLUSION: In elderly patients with CHF, measurement of D-dimer levels may help to risk stratify these patients, and high D-dimer levels might be regarded as a warning sign to intensify therapy.

Smartphone-based analytical biosensors.

The traditional analytical biosensor instruments are relatively bulky, expensive, and not easy to handle, thus their applications are largely limited in resource-limited settings. The recent development of microfluidic lab-on-a-chip (LOC) technology has provided a possible solution to miniaturize the conventional biosensing system, yet other accessory devices to detect, readout, analyze, transfer, and display results are still required. With the rapid development, mass production, and pervasive distribution of smartphones in recent years, they have provided people with portable, cost-effective, and easy-to-operate platforms to build analytical biosensors for point-of-care (POC) applications and mobile health. Based on the common analytical methods, this paper reviews the recent development of four types of smartphone based analytical biosensory systems at the POC, i.e., smartphone-based microscopic imaging, colorimetric, electrochemical, and electrochemiluminescence biosensor. The different bio-sensing strategies and analytical performance together with future perspectives are discussed.

TRIM67 Promotes Non-Small Cell Lung Cancer Development by Positively Regulating the Notch Pathway through DLK1 Ubiquitination.

Tripartite motif-containing 67 (TRIM67), a member of the TRIM protein family, is an E3 ubiquitin ligase. Our previous study revealed a relationship between TRIM67 expression and carcinogenesis, showing that TRIM67 expression is linked to p-TNM stage, lymph node metastasis, tumour size, cancer cell differentiation, and poor prognosis. Additionally, TRIM67 immunostaining results were associated with clinicopathological features. TRIM67 activated the Notch pathway in a favourable manner to enhance cell invasion, migration, and proliferation. Atypical ligand delta like non-canonical Notch ligand 1 (DLK1) inhibits the function of the Notch1 receptor, which in turn prevents activation of the Notch pathway. In addition, we investigated the mechanism by which TRIM67 influences the Notch pathway. We found that TRIM67 altered the behaviour of non-small cell lung cancer (NSCLC) cells by ubiquitinating DLK1 via its RING domain, which in turn activates the Notch pathway. Taken together, these findings indicate that TRIM67 may be involved in promoting the growth of NSCLC.

Sagittal support rather than medial cortical support matters in geriatric intertrochanteric fracture: A finite element analysis study.

Hip fracture, increasing exponentially with age, is osteoporosis's most severe clinical consequence. Intertrochanteric fracture, one of the main types of hip fracture, is associated with higher mortality and morbidity. The current research hotspots lay in improving the treatment effect and optimizing the secondary stability after intertrochanteric fracture surgery. Cortex buttress reduction is a widely accepted method for treating intertrochanteric fracture by allowing the head-neck fragment to slide and rigidly contact the femoral shaft's cortex. Medial cortical support is considered a more effective option in treating young patients. However, osteo-degenerations features, including bone weakness and cortical thickness thinning, affect the performance of cortex support in geriatric intertrochanteric fracture treatment. Literature focusing on the age-specific difference in cortex performance in the fractured hip is scarce. We hypothesized that this osteo-19 degenerative feature affects the performance of cortex support in treating intertrochanteric fractures between the young and the elderly. We established twenty models for the old and the young with intertrochanteric fractures and performed static and dynamic simulations under one-legged stance and walking cycle conditions. The von Mises stress and displacement on the femur, proximal femoral nail anti-rotation (PFNA) implant, fracture plane, and the cutting volume of cancellous bone of the femur were compared. It was observed that defects in the anterior and posterior cortical bone walls significantly increase the stress on the PFNA implant, the displacement of the fracture surface, and cause a greater volume of cancellous bone to be resected. We concluded that ensuring the integrity and alignment of the anterior and posterior cortical bones is essential for elderly patients, and sagittal support is recommended. This finding suggests that the treatment method for intertrochanteric fracture may differ, considering the patient's age difference.

Successful treatment of focal renal artery fibromuscular dysplasia by balloon dilatation demonstrated via fractional flow reserve.

We present a rare case of fibromuscular dysplasia (FMD) manifesting in the mid segment of right renal artery, which led to the development of refractory hypertension. The patient received balloon angioplasty to a severe lesion on the middle of right renal artery and subsequently had normalisation of blood pressures. Fractional flow reserve (FFR) detection of the renal artery before and after balloon dilatation was 0.71 and 0.98, respectively. The patient showed renal artery stenosis (RAS) with distal tumour-like dilatation, and multiple tortuosity and stenosis in carotid artery and coronary artery. At follow-up 2 months later, her blood pressures had normalised.

Biomechanical analysis of pelvic holding pathways and strategies for use of the steinmann pin in pelvic fracture reduction.

Pelvic fracture is the most serious bone trauma and has the highest mortality and disability rate. Surgical treatment of pelvic fracture is very challenging for surgeons. Minimally invasive close reduction of pelvic fracture is considered the most difficult operation due to the complex pelvic morphology and abundant soft tissue anatomy, both of which increase the difficulty of pelvic fracture reduction. The most challenging aspect of such surgery is how to hold the pelvic bone and effectively transmit the reduction force to the bone. Therefore, a safe and effective pelvic holding pathway for reduction is necessary for pelvic fracture operations. Existing research on the pelvic holding pathway addresses anatomical position and dimension. Few studies have focused on biomechanical properties or on surgical techniques related to these pathways. This paper studies the three holding pathways that are most commonly used in clinical practice. The most effective force direction for each holding pathway is identified through finite element modeling. Pathway 1 is suitable for internal rotation operation and open/close-book operation of the pelvis; Pathway 2 is suitable for translation of the fractured pelvis toward the sacrum and internal pelvic rotation operations; Pathway 3 is suitable for pulling and lifting of the fractured pelvis against gravity and open/close-book operation of the pelvis. In addition, we find through our simulation that the use of a combined holding strategy can reduce the reduction force during the reduction process. We compared the performances of the 2-pin combined holding strategy (2P-CH) and the 3-pin combined strategy (3P-CH). During translational reduction, 2P-CH and 3P-CH showed little difference in pelvic reduction force. However, in rotational reduction, 3P-CH shows advantages. It has less reduction force and the least combined muscle resistance. It can also maximize the displacement of the iliac crest under the same conditions. The results of this study can be applied to surgical planning and to the development of robot-assisted surgery systems in selecting holding pathways and operation strategies for fractured pelvis.

Fast and precise collision detection for detailed and complex physiological structures.

BACKGROUND AND OBJECTIVES: Virtual reality has been proved indispensable in computer-assisted surgery, especially for surgical planning, and simulation systems. Collision detection is an essential part of surgery simulators and its accuracy and computational efficiency play a decisive role in the fidelity of simulations. Nevertheless, current collision detection methods in surgical simulation and planning struggle to meet precise requirements, especially for detailed and complex physiological structures. To address this, the primary objective of this study was to develop a new algorithm that enables fast and precise collision detection to facilitate the improvement of the realism of virtual reality surgical procedures. METHODS: The method consists of two main parts, bounding spheres formation and two-level collision detection. A specified surface subdivision method is devised to reduce the radius of basic bounding spheres formed by circumcenters of underlying triangles. The spheres are then clustered and adjusted to obtain a compact personalized hierarchy whose position is updated in real time during surgical simulation, followed by two-level collision detection. Triangular facets with collision potential through interaction between hierarchies and then accurate results are obtained by means of precise detection phase. The effectiveness of the algorithm was evaluated in various models and surgical scenarios and was compared with prior relevant implementations. RESULTS: Results on multiple models demonstrated that the method can generate a personalized hierarchy with fewer and smaller bounding spheres for tight wrapping. Simulation experiments proved that the proposed approach is significantly superior to comparable methods under the premise of error-free detection, even for severe model-model collision. CONCLUSIONS: The algorithm proposed through this study enables higher numerical efficiency and detection accuracy, which is capable of significantly enlarging the fidelity/realism of haptic simulators and surgical planning methods.

Comparison between guide plate navigation and virtual fixtures in robot-assisted osteotomy.

To verify the advantages of Virtual Fixtures (VFs) by comparing the result of guide plate navigation (GPN) and VFs in robot-assisted osteotomy. Robot-assisted surgery has been extensively applied in traditional orthopedic surgeries. It fundamentally improves surgeries' cutting accuracy. In addition, many key techniques have been applied in bone cutting to increase the procedure's safety in various ways. In this paper, two robot-assisted osteotomy methods are proposed. Three operators with no osteotomy experience performed plane cutting with the assistance of a robot. GPN and VFs were applied to assist the Sawbones cutting. Each operator has five attempts using each method to perform bone cutting, distance errors and angular errors were recorded. The advantage of Sawbones is that there is no influence from soft tissues and blood. It can give a more precise measurement. The results show that both methods have high accuracy with the robot's assistance. VFs have higher accuracy in comparison with GPN. With GPN, the mean distance and angular error of the three operators were 2.974 ± 0.282 mm and 4.737 ± 0.254°. With VFs, the mean range and angular error of the three operators were 1.857 ± 0.349 mm and 2.24 ± 0.123°, respectively. VFs limited the robot's end in the planned area, increasing the accuracy and safety of robot-assisted osteotomy.

A risk prognostic model for patients with esophageal squamous cell carcinoma basing on cuproptosis and ferroptosis.

BACKGROUND: Cuproptosis, a form of copper-dependent programmed cell death recently presented by Tsvetkov et al., have been identified as a potential therapeutic target for refractory cancers and ferroptosis, a well-known form describing iron-dependent cell death. However, whether the crossing of cuproptosis-related genes and ferroptosis-related genes can introduce some new idea, thus being used as a novel clinical and therapeutic predictor in esophageal squamous cell carcinoma (ESCC) remains unknown. METHODS: We collected ESCC patient data from the Gene Expression Omnibus and the Cancer Genome Atlas databases and used Gene Set Variation Analysis to score each sample based on cuproptosis and ferroptosis. We then performed weighted gene co-expression network analysis to identify cuproptosis and ferroptosis-related genes (CFRGs) and construct a ferroptosis and cuproptosis-related risk prognostic model, which we validated using a test group. We also investigated the relationship between the risk score and other molecular features, such as signaling pathways, immune infiltration, and mutation status. RESULTS: Four CFRGs (MIDN, C15orf65, COMTD1 and RAP2B) were identified to construct our risk prognostic model. Patients were classified into low- and high-risk groups based on our risk prognostic model and the low-risk group showed significantly higher survival possibilities (P < 0.001). We used the "GO", "cibersort" and "ESTIMATE" methods to the above-mentioned genes to estimate the relationship among the risk score, correlated pathways, immune infiltration, and tumor purity. CONCLUSION: We constructed a prognostic model using four CFRGs and demonstrated its potential clinical and therapeutic guidance value for ESCC patients.

The value of Ki67 for the diagnosis of LSIL and the problems of p16 in the diagnosis of HSIL.

p16 and Ki67 are immunohistochemical markers related to cervical squamous intraepithelial lesions. p16 has been widely used to assist in the diagnosis of high-grade squamous intraepithelial lesions. However, a conclusion about the role of Ki67 in the diagnosis of squamous intraepithelial lesions has not been established. The aim of this study was to analyze the role of p16 and Ki67 immunohistochemical staining in assisting cervical squamous intraepithelial lesions. This study performed immunohistochemical staining for p16 and Ki67 on 1024 cervical biopsy specimens at our hospital to compare the differences between p16 and Ki67 in different cervical lesions using the chi-squared test and Fisher's exact test. This study also evaluated the value of Ki67 for the diagnosis of low-grade squamous intraepithelial lesions (LSILs) using the receiver operating characteristic curve. The results indicated that Ki67 had high specificity and sensitivity in distinguishing LSIL from normal cervix. p16 was diffusely and strongly positive in some LSILs, and some problems were encountered in the interpretation of p16 staining. Therefore, we believe that Ki67 can be used as an immunohistochemical marker to help in the diagnosis of LSIL, to distinguish lesions that are difficult to morphologically determine and to avoid misdiagnosis. The practical application of p16 staining is still problematic. It may be necessary to find other auxiliary means to distinguish this small proportion of cervical lesions.

Long-term clinical outcomes of Chinese diabetic patients after coronary revascularization with drug-eluting stents: a retrospective comparative cohort study.

Background: Compared to bare-metal stent implantation, coronary drug-eluting stent (DES) implantation is more likely to reduce restenosis and the need for a subsequent repeat revascularization procedure. Diabetes increases the risk of coronary heart disease and the population of diabetic patients has increased significantly in China in recent years. It's essential to know more about the outcome in these patients underwent DES implantation. To date, the long-term safety and efficacy of coronary DES implantation in Chinese patients with diabetes has rarely been investigated. Methods: In this study, according to inclusion and exclusion criteria, 580 patients who underwent DES implantations between July 2014 and January 2016 were included and divided into the diabetic group (n=173) and non-diabetic group (n=407). Clinical baseline characteristics and follow-up outcomes were collected from electronic medical record. Serial clinical follow-up was conducted at 1-, 3-, and 5-year. The primary end point was a composite of major adverse cardiac events (MACEs), including cardiac death, recurrent myocardial infarction (re-MI), and target lesion revascularization (TLR) in 5-year follow-up. The long-term outcomes observed in the 5-year follow-up period were compared between the diabetic and non-diabetic patients. Results: Non-cardiac death was more common in the diabetic than non-diabetic patients in the 5-year follow-up period (8.7% vs. 3.2% P=0.00). Conversely, the risk of occurrence of MACEs, cardiac death, re-MI, and TLR were comparable. The all-cause mortality rate in 5-year follow-up was higher in the diabetic than non-diabetic patients (14.5% vs. 6.1%, P=0.00). The incidence of stent thrombosis was also comparable between the diabetic and non-diabetic patients. Conclusions: Compared to the non-diabetic patients, the diabetic patients were at higher risk for all-cause mortality after coronary DES implantation during the long-term follow-up period.

Preparation of Hierarchical Porous Silicon Carbide Monoliths via Ambient Pressure Drying Sol-Gel Process Followed by High-Temperature Pyrolysis.

Hierarchical porous silicon carbide (SiC) attracts great attention due to its superior chemical resistance, high thermal shock resistance, and excellent thermal stability. The preparation of a porous SiC monolith via a simple sol-gel method is limited by either the high cost of the raw materials or the special time-consuming drying process. Herein, we report an ambient drying sol-gel approach for the synthesis of organic-inorganic hybrid monolithic gels which can be converted into hierarchical porous SiC monoliths upon pyrolysis at 1400 °C. The as-synthesized SiC monoliths possess hierarchical pores with macropores of 4.5 µm and mesopores of 2.0 nm. The porosities, specific surface areas and compressive strengths of the hierarchical porous SiC monoliths are 71.3%, 171.5 m2/g and 7.0 ± 0.8 MPa, respectively.

PPsNet: An improved deep learning model for microsatellite instability high prediction in colorectal cancer from whole slide images.

BACKGROUND AND OBJECTIVE: Recent studies have shown that colorectal cancer (CRC) patients with microsatellite instability high (MSI-H) are more likely to benefit from immunotherapy. However, current MSI testing methods are not available for all patients due to the lack of available equipment and trained personnel, as well as the high cost of the assay. Here, we developed an improved deep learning model to predict MSI-H in CRC from whole slide images (WSIs). METHODS: We established the MSI-H prediction model based on two stages: tumor detection and MSI classification. Previous works applied fine-tuning strategy directly for tumor detection, but ignoring the challenge of vanishing gradient due to the large number of convolutional layers. We added auxiliary classifiers to intermediate layers of pre-trained models to help propagate gradients back through in an effective manner. To predict MSI status, we constructed a pair-wise learning model with a synergic network, named parameter partial sharing network (PPsNet), where partial parameters are shared among two deep convolutional neural networks (DCNNs). The proposed PPsNet contained fewer parameters and reduced the problem of intra-class variation and inter-class similarity. We validated the proposed model on a holdout test set and two external test sets. RESULTS: 144 H&E-stained WSIs from 144 CRC patients (81 cases with MSI-H and 63 cases with MSI-L/MSS) were collected retrospectively from three hospitals. The experimental results indicate that deep supervision based fine-tuning almost outperforms training from scratch and utilizing fine-tuning directly. The proposed PPsNet always achieves better accuracy and area under the receiver operating characteristic curve (AUC) than other solutions with four different neural network architectures on validation. The proposed method finally achieves obvious improvements than other state-of-the-art methods on the validation dataset with an accuracy of 87.28% and AUC of 94.29%. CONCLUSIONS: The proposed method can obviously increase model performance and our model yields better performance than other methods. Additionally, this work also demonstrates the feasibility of MSI-H prediction using digital pathology images based on deep learning in the Asian population. It is hoped that this model could serve as an auxiliary tool to identify CRC patients with MSI-H more time-saving and efficiently.

SfGPX regulates low-temperature tolerance by affecting velocity and intensity of Ca2+ transfer and photosynthetic characteristics in interfered Spiraea fritschiana and overexpressed Spiraea japonica 'Gold Mound'.

Genes play regulatory roles in plants' response to low-temperature stress. Our understanding of the mechanism of plants' response to low-temperature stress can be expanded by studying the functions of these genes. SfGPX was cloned from Spiraea fritschiana (S. fritschiana) with the highest low-temperature tolerance, to explore the molecular mechanisms of SfGPX in response to low-temperature stress and the physiological mechanisms involved in the regulation of SfGPX to adapt to low temperature, in two species of Spiraea. SfGPX, which was localized in the cytoplasm, was induced by low temperature. The low-temperature tolerance of Spiraea fritschiana was decreased via the interference of SfGPX, and the low-temperature tolerance of Spiraea japonica 'Gold Mound' (S. japonica 'Gold Mound') was elevated via the overexpression of SfGPX. Under low-temperature stress, the photosynthetic capacity of two species of Spiraea was affected by SfGPX; it was higher in the cold-tolerant plants and lower in the cold-intolerant plants. Under low-temperature stress, the transfer intensity of Ca2+ was affected by SfGPX. The transfer intensity of cold-tolerant plants with lower influx level of Ca2+ kinetics was weaker than that of cold-intolerant plants. Under low-temperature stress, the transfer velocity of Ca2+ was affected by SfGPX, and there were slower effluxes of Ca2+ from Ca2+ reservoir in cold-tolerant plants than in cold-intolerant plants. The above results indicate that the response of Spiraea to low temperature is regulated by SfGPX through affecting photosynthetic capacity as well as intensity and velocity of Ca2+ transfer in response to low temperature in Spiraea.

Case Report: Bilateral Renal Cell Carcinoma With Different Histological and Morphological Features, Clear Cell and Cystic Thyroid-Like Follicular Subtype.

Thyroid-like follicular renal cell carcinoma is a rare subtype of renal cell carcinoma that has only been recently recognized, as most cases involve a solid tumor in one kidney. In this study, we report a rare case of bilateral renal cell carcinoma wherein the tumor in the left kidney was diagnosed as clear cell carcinoma, while the tumor in right kidney as thyroid-like follicular renal cell carcinoma. The difference between this case and the ones described in previous reports is that thyroid-like follicular renal cell carcinoma showed cystic changes on imaging. This suggests that when renal cystic lesions are encountered, we should consider the possibility of such rare tumors.