Stigma receptors control intraspecies and interspecies barriers in Brassicaceae.

Flowering plants have evolved numerous intraspecific and interspecific prezygotic reproductive barriers to prevent production of unfavourable offspring1. Within a species, self-incompatibility (SI) is a widely utilized mechanism that rejects self-pollen2,3 to avoid inbreeding depression. Interspecific barriers restrain breeding between species and often follow the SI × self-compatible (SC) rule, that is, interspecific pollen is unilaterally incompatible (UI) on SI pistils but unilaterally compatible (UC) on SC pistils1,4-6. The molecular mechanisms underlying SI, UI, SC and UC and their interconnections in the Brassicaceae remain unclear. Here we demonstrate that the SI pollen determinant S-locus cysteine-rich protein/S-locus protein 11 (SCR/SP11)2,3 or a signal from UI pollen binds to the SI female determinant S-locus receptor kinase (SRK)2,3, recruits FERONIA (FER)7-9 and activates FER-mediated reactive oxygen species production in SI stigmas10,11 to reject incompatible pollen. For compatible responses, diverged pollen coat protein B-class12-14 from SC and UC pollen differentially trigger nitric oxide, nitrosate FER to suppress reactive oxygen species in SC stigmas to facilitate pollen growth in an intraspecies-preferential manner, maintaining species integrity. Our results show that SRK and FER integrate mechanisms underlying intraspecific and interspecific barriers and offer paths to achieve distant breeding in Brassicaceae crops.

Association of healthy diet score and adiposity with risk of colorectal cancer: findings from the UK Biobank prospective cohort study.

PURPOSE: To explore the joint association of dietary patterns and adiposity with colorectal cancer (CRC), and whether adiposity mediates the relationship between dietary patterns and CRC risk, which could provide deeper insights into the underlying pathogenesis of CRC. METHODS: The data of 307,023 participants recruited between 2006 and 2010 were extracted from the UK Biobank study. Healthy diet scores were calculated based on self-reported dietary data at baseline, and participants were categorized into three groups, namely, low, intermediate, and high diet score groups. Cox regression models with hazard ratios (HRs) and 95% confidence intervals (CIs) were used to estimate the effects of the healthy diet score on CRC incidence, adjusting for various covariates. Furthermore, the mediation roles of obesity and central obesity between the healthy diet score and CRC risk were assessed using a counterfactual causal analysis based on Cox regression model. Additionally, joint association between dietary patterns and adiposity on CRC risks was assessed on the additive and multiplicative scales. RESULTS: Over a median 6.2-year follow-up, 3,276 participants developed CRC. After adjusting for sociodemographic and lifestyle factors, a lower risk of CRC incidence was found for participants with intermediate (HR = 0.83, 95% CI: 0.72 to 0.95) and high diet scores (HR = 0.73, 95% CI: 0.62 to 0.87) compared to those with low diet scores. When compared with the low diet score group, obesity accounted for 4.13% and 7.93% of the total CRC effect in the intermediate and high diet score groups, respectively, while central obesity contributed to 3.68% and 10.02% of the total CRC risk in the intermediate and high diet score groups, respectively. The mediating effect of adiposity on CRC risk was significant in men but not in women. Concurrent unhealthy diet and adiposity multiplied CRC risk. CONCLUSION: Adiposity-mediated effects were limited in the link between dietary patterns and CRC incidence, implying that solely addressing adiposity may not sufficiently reduce CRC risk. Interventions, such as improving dietary quality in people with adiposity or promoting weight control in those with unhealthy eating habits, may provide an effective strategy to reduce CRC risk.

Effects of 24-hour urine-output trajectories on the risk of acute kidney injury in critically ill patients with cirrhosis: a retrospective cohort analysis.

BACKGROUND: Acute kidney injury (AKI) is one of the most common complications for critically ill patients with cirrhosis, but it has remained unclear whether urine output fluctuations are associated with the risk of AKI in such patients. Thus, we explored the influence of 24-h urine-output trajectory on AKI in patients with cirrhosis through latent category trajectory modeling. MATERIALS AND METHODS: This retrospective cohort study examined patients with cirrhosis using the MIMIC-IV database. Changes in the trajectories of urine output within 24 h after admission to the intensive care unit (ICU) were categorized using latent category trajectory modeling. The outcome examined was the occurrence of AKI during ICU hospitalization. The risk of AKI in patients with different trajectory classes was explored using the cumulative incidence function (CIF) and the Fine-Gray model with the sub-distribution hazard ratio (SHR) and the 95% confidence interval (CI) as size effects. RESULTS: The study included 3,562 critically ill patients with cirrhosis, of which 2,467 (69.26%) developed AKI during ICU hospitalization. The 24-h urine-output trajectories were split into five classes (Classes 1-5). The CIF curves demonstrated that patients with continuously low urine output (Class 2), a rapid decline in urine output after initially high levels (Class 3), and urine output that decreased slowly and then stabilized at a lower level (Class 4) were at higher risk for AKI than those with consistently moderate urine output (Class 1). After fully adjusting for various confounders, Classes 2, 3, and 4 were associated with a higher risk of AKI compared with Class 1, and the respective SHRs (95% CIs) were 2.56 (1.87-3.51), 1.86 (1.34-2.59), and 1.83 1.29-2.59). CONCLUSIONS: The 24-h urine-output trajectory is significantly associated with the risk of AKI in critically ill patients with cirrhosis. More attention should be paid to the dynamic nature of urine-output changes over time, which may help guide early intervention and improve patients' prognoses.

Secular trend in disease burden of leukemia and its subtypes in China from 1990 to 2019 and its projection in 25 years.

Leukemia and its subtypes impose a major public health challenge in China. Identifying the secular trend of leukemia burden is critical to facilitate optimal healthcare planning and improve the management of leukemia. The incidence rates of leukemia from 1990 to 2019 were collected from the Global Burden of Disease Study 2019 database according to the following: subtype (acute lymphocytic leukemia [ALL], acute myeloid leukemia [AML], chronic lymphocytic leukemia [CLL], chronic myelogenous leukemia [CML], and other leukemia subtypes), sex, and age group. The average annual percentage changes and relative risks were calculated using joinpoint regression and the age-period-cohort model, respectively. The Bayesian age-period-cohort model was also applied to predict the future trend of the incidence of leukemia and its subtypes in the next 25 years. From 1990 to 2019, the age-standardized incidence rates (ASIRs) of leukemia slightly declined in males and females, which is similar to the trend of other leukemia subtypes. However, the four major leukemia subtypes, namely, ALL, AML, CLL, and CML, have been on the rise over the past three decades. The incidence rates of leukemia in children and the elderly were considerably higher than those in other age groups in males and females. Age effects were the most influential risk factor for leukemia incidence. Period effects showed that the risks of leukemia and its subtypes incidence increased with time. For cohort effects, the risks of leukemia and its subtypes were higher among the early-born cohorts compared with the late-born cohorts. The ASIRs of leukemia and its subtypes will continue to increase in the next 25 years. The burden of leukemia and its subtypes is expected to continue to increase in the next 25 years in males and females. A comprehensive understanding of the risk characteristics and disease pattern of leukemia and its subtypes is needed to formulate timely and effective intervention measures to reduce the leukemia burden in China.

Leveraging Deep Learning for IoT Transceiver Identification.

With the increasing demand for Internet of Things (IoT) network applications, the lack of adequate identification and authentication has become a significant security concern. Radio frequency fingerprinting techniques, which utilize regular radio traffic as the identification source, were then proposed to provide a more secured identification approach compared to traditional security methods. Such solutions take hardware-level characteristics as device fingerprints to mitigate the risk of pre-shared key leakage and lower computational complexity. However, the existing studies suffer from problems such as location dependence. In this study, we have proposed a novel scheme for further exploiting the spectrogram and the carrier frequency offset (CFO) as identification sources. A convolutional neural network (CNN) is chosen as the classifier. The scheme addressed the location-dependence problem in the existing identification schemes. Experimental evaluations with data collected in the real world have indicated that the proposed approach can achieve 80% accuracy even if the training and testing data are collected on different days and at different locations, which is 13% higher than state-of-the-art approaches.

Machine learning for the prediction of acute kidney injury in patients with sepsis.

BACKGROUND: Acute kidney injury (AKI) is the most common and serious complication of sepsis, accompanied by high mortality and disease burden. The early prediction of AKI is critical for timely intervention and ultimately improves prognosis. This study aims to establish and validate predictive models based on novel machine learning (ML) algorithms for AKI in critically ill patients with sepsis. METHODS: Data of patients with sepsis were extracted from the Medical Information Mart for Intensive Care III (MIMIC- III) database. Feature selection was performed using a Boruta algorithm. ML algorithms such as logistic regression (LR), k-nearest neighbors (KNN), support vector machine (SVM), decision tree, random forest, Extreme Gradient Boosting (XGBoost), and artificial neural network (ANN) were applied for model construction by utilizing tenfold cross-validation. The performances of these models were assessed in terms of discrimination, calibration, and clinical application. Moreover, the discrimination of ML-based models was compared with those of Sequential Organ Failure Assessment (SOFA) and the customized Simplified Acute Physiology Score (SAPS) II model. RESULTS: A total of 3176 critically ill patients with sepsis were included for analysis, of which 2397 cases (75.5%) developed AKI during hospitalization. A total of 36 variables were selected for model construction. The models of LR, KNN, SVM, decision tree, random forest, ANN, XGBoost, SOFA and SAPS II score were established and obtained area under the receiver operating characteristic curves of 0.7365, 0.6637, 0.7353, 0.7492, 0.7787, 0.7547, 0.821, 0.6457 and 0.7015, respectively. The XGBoost model had the best predictive performance in terms of discrimination, calibration, and clinical application among all models. CONCLUSION: The ML models can be reliable tools for predicting AKI in septic patients. The XGBoost model has the best predictive performance, which can be used to assist clinicians in identifying high-risk patients and implementing early interventions to reduce mortality.

Preoperative C-reactive protein to prealbumin ratio is independently associated with prognosis in patients with resectable colorectal cancer.

BACKGROUND: Increasing attention has been drawn the prognostic value of inflammatory indices for colorectal cancer (CRC). However, the prognostic value of the preoperative C-reactive protein to prealbumin ratio (CPAR) in CRC remains unclear. METHODS: A retrospective study was conducted with 794 patients who had CRC and underwent radical surgical resection. The predictive performance of the inflammatory indices was analyzed and compared using the area under the time-dependent receiver operating characteristic curve. A competing risk regression model and Cox proportional hazard model were used to analyze the effects of CPAR on disease-free survival (DFS) and overall survival (OS), respectively. RESULTS: Patients with high CPAR (>7.25) had poor survival outcome. The CPAR had the best predictive performance among all inflammatory indices, and was significantly associated with several characteristics of tumor invasion, including histological grade, tumor stage, and tumor size. Multivariate analysis showed that high CPAR was independently associated with poor DFS (subdistribution hazard ratio = 2.28, 95% confidence interval [CI]: 1.74-2.82) and OS (hazard ratio = 1.78, 95% CI: 1.60-1.96). CONCLUSION: Preoperative CPAR assessment could serve as an effective and reliable tool for prognostic prediction in patients with resectable CRC.

Understanding the experiences of older caregivers of patients with lung cancer during palliative chemotherapy in China: a qualitative study.

PURPOSE: Although there has been an increase in research on caregivers of patients with cancer, there has been little focus on the specific experiences of older caregivers of patients with lung cancer and the effect of their cultural backgrounds on their experiences. This study explored the caregiver experience among the ageing population in China. METHODS: Older caregivers of patients with lung cancer undergoing palliative chemotherapy were recruited. Data were collected using a qualitative descriptive design involving semi-structured interviews, which were recorded, transcribed verbatim and analysed qualitatively using inductive content analysis. RESULTS: Eighteen caregivers aged 61-81 years completed the interviews. The following four themes were identified: physical difficulty, living with ambivalence, perception of role and role-related behaviour changes. These themes enabled a greater understanding of role-related behaviours in older caregivers and their challenges in addressing biological and psychosocial challenges related to older age. CONCLUSION: The present study highlighted the vulnerability and perceived challenges of the role of older caregivers. These findings help lay the foundation for interventions to improve the care provided to caregivers and their health outcomes, especially caregivers with chronic conditions.

Association of Red Cell Distribution Width-to-Platelet Ratio and Mortality in Patients with Sepsis.

Background: As a novel inflammatory index, the ratio of red cell distribution width (RDW) to platelet count (RPR) may have prognostic value in some critical illnesses. However, studies on the prognostic influence of RPR in patients with sepsis are few. This study is aimed at investigating the association between RPR levels and 28-day mortality in patients with sepsis. Methods: Data of patients with sepsis were obtained from the Medical Information Mart for Intensive Care III database. The best cut-off value was calculated by establishing the receiver operating characteristic curve (ROC), and the predictive ability of different indicators was compared through the area under the curve (AUC). The association between RPR levels and 28-day mortality was assessed using the Cox proportional hazards model. Restrictive cubic spline analysis was applied to the multivariable Cox model to investigate the nonlinear relationship between RPR and 28-day mortality. Results: A total of 3367 patients with sepsis were included in the study. A nonlinear relationship was observed between RPR and 28-day mortality, showing a trend of a first rapid increase and a gradual increase. For the prediction of mortality, the best cut-off value for RPR was 0.109, with an AUC of 0.728 (95% confidence interval [CI]: 0.709-0.747). The predictive capability of RPR was superior to those of RDW, platelet, SOFA score, and SAPS II score. After adjusting for various confounding factors, high RPR was significantly associated with increased mortality with adjusted hazard ratios of 1.210 (95% CI: 1.045-1.400) for categorical variables and 2.826 (95% CI: 2.025-3.944) for continuous variables. Conclusion: Elevated RPR level is significantly correlated with a high risk of 28-day mortality in patients with sepsis and can be a new predictor of patient prognosis.

Strong Structural Modification of Gd to Co3O4 for Catalyzing N2O Decomposition under Simulated Real Tail Gases.

In this paper, Gd-promoted Co3O4 catalysts were prepared via a facile coprecipitation method for low-temperature catalytic N2O decomposition. Due to the addition of Gd, the crystallite size of Co3O4 in the Gd0.06Co catalyst surprisingly decreased to 4.9 nm, which is much smaller than most additive-modified Co3O4 catalysts. This huge change in the catalyst's textural structure endows the Gd0.06Co catalyst with a large specific surface area, plentiful active sites, and a weak Co-O bond. Hence, Gd0.06Co exhibited superior activity for catalyzing 2000 ppmv N2O decomposition, and the temperature for the complete catalytic elimination of N2O was as low as 350 °C. Meanwhile, compared with pure Co3O4, Ea decreased from 77.4 to 46.8 kJ·mol-1 and TOF of the reaction increased from 1.16 × 10-3 s-1 to 5.13 × 10-3 s-1 at 300 °C. Moreover, Gd0.06Co displayed a quite stable catalytic performance in the presence of 100 ppmv NO, 5 vol % O2, and 2 vol % H2O.

Early Death Incidence and Prediction in Stage IV Breast Cancer.

BACKGROUND The early death of patients is a global cancer issue. We aimed to identify the risk factors for early death in stage IV breast cancer. Predictive nomograms for early death evaluation were generated based on the risk factors. MATERIAL AND METHODS Based on the Surveillance, Epidemiology, and End Results (SEER) database, patients diagnosed with IV breast cancer were selected. The risk factors for early death (survival time ≤1 year) were identified using logistic regression model analysis. Predictive nomograms were constructed and internal validation was performed. RESULTS A total of 5998 (32.6%) breast cancer patients were diagnosed as early death in the construction cohort. Age older than 50 years, unmarried status, black race, uninsured status, triple-negative type, grade (II and III), tumor size >5 cm, and metastasis to lung, liver, and brain were risk factors for total early death, while Luminal B subtype, N1 stage, and surgical interventions were associated with lower risk of early death. As for cancer-specific and non-cancer-specific early death, several factors were not consistent between the 2 groups. Nomograms for all-cause, cancer-specific, and non-cancer-specific early death were constructed. The calibration curve showed satisfactory agreement. The areas under the ROC curve (AUC) were 78.3% (95% CI: 77.7-78.9%), 75.8% (75.1-76.4%), and 72.3% (71.6-72.9%), respectively. In the validation cohort, a total of 689 (19.3%) patients were diagnosed as early death and the calibration curve showed satisfactory agreement. The AUCs of the all-cause, cancer-specific, and non-cancer-specific early death prediction were 74.0% (95% CI: 72.5-75.4%), 73.5% (72.0-74.9%), and 68.6% (67.0-70.1%), respectively. CONCLUSIONS Nomograms were generated to predict early death, with good calibration and discrimination. The predictive model can provide a reference for identifying cases with high risk of early death among stage IV breast cancer patients and play an auxiliary role in guiding individual treatment.

Tangeretin ameliorates renal failure via regulating oxidative stress, NF-κB-TNF-α/iNOS signalling and improves memory and cognitive deficits in 5/6 nephrectomized rats.

Chronic kidney disease (CKD) is a significant global health concern with limited treatment options. Oxidative stress and inflammatory responses have been implicated in the pathology of CKD. Patients with CKD are frequently affected with neurological complications that affect both the central and peripheral nervous system. Identification of effective treatment strategies are of much clinical value in the therapy of CKD. Tangeretin, a plant-derived flavonoid has been described to retain extensive pharmacological properties. In the present study, we explored whether tangeretin exerted protective effects in 5/6 nephrectomized rats. CKD was induced in Sprague-Dawley rats by 5/6 nephrectomy (Nx). Separate groups of 5/6 Nx rats were treated with tangeretin (50, 100 or 200 mg/kg b.wt.) or enalapril for 30 days (starting 5 days after surgery for 35 days). Control animals were not subjected to Nx nor were treated with tangeretin or enalapril. Renal dysfunction, as evinced by raised serum urea, serum creatinine, proteinuria, and histological alterations were significantly reduced by tangeretin and enalapril treatment. 5/6 Nx animals exhibited raised levels of malondialdehyde (MDA) and reactive oxygen species. Elevated TNF-α, nitric oxide (NO) and cytokines-IL-6 and IL-1ß with upregulated NF-κB/TNF-α/iNOS signalling pathways were effectively down-regulated by tangeretin. Cognitive disturbances and memory impairments observed in Nx rats were substantially improved by tangeretin. Collectively, the experimental data indicate that the anti-oxidant and anti-inflammatory effects of tangeretin effectively improved renal function and reduced the cognitive and memory impairments in CKD-induced animals.

Synthesis, Characterization, and Identification of New in Vitro Covalent DNA Adducts of Divinyl Sulfone, an Oxidative Metabolite of Sulfur Mustard.

Divinyl sulfone (DVS) is an important oxidative metabolic product of sulfur mustard (SM) in vitro and in vivo. Although DVS is not a classical blister agent, its high reactivity and toxicity induced by vinyl groups can also cause blisters like SM upon contact with the skin, eyes, and respiratory organs. The purpose of this paper was to identify whether DVS could covalently bind to DNA bases to form new DNA adducts in cells in vitro. A series of adducts were synthesized and characterized using purine, nucleoside, or DNA, separately, as starting materials. The covalent site, pattern, and relative reactivity of adduct formation were identified and discussed in detail. The results showed that five high abundance site-specific DNA adducts, including two monoadducts and three cross-linked adducts, were obtained when DNA was used as a substrate. When HaCaT cells were exposed to 30 µM of DVS, four new DNA adducts containing monoadducts and cross-linked adducts were found and identified in cells, including N3-A monoadduct, N7-G monoadduct, N7G-N7G bis-adduct, and N3A-N7G cross-linked adduct. Among them, the abundance of N3-A monoadduct was 10 times higher than that of the other three adducts. DNA adduct formation with DVS showed significant differences from that observed with SM. The observation of these new DNA adduct in vitro cells revealed that DNA damage could be also induced by DVS.

Potassium Aspartate Attenuates Brain Injury Induced by Controlled Cortical Impact in Rats Through Increasing Adenosine Triphosphate (ATP) Levels, Na+/K+-ATPase Activity and Reducing Brain Edema.

BACKGROUND Potassium aspartate (PA), as an electrolyte supplement, is widely used in clinical practice. In our previous study, we found PA had neuroprotective effects against apoptosis after cerebral ischemia/reperfusion in rats. In this study, we examine whether PA has protective effects on traumatic brain injury (TBI). MATERIAL AND METHODS TBI was induced by controlled cortical impact (CCI) in rats. Vehicle treatment (control) or PA treatment was administered intraperitoneally at 30 minutes after CCI. The modified neurological severity score (mNSS) and cortical lesion volume were examined. Brain edema and blood-brain barrier (BBB) integrity were measured, as well as brain ATP contents, lactic acid levels, and Na+/K+-ATPase activities. RESULTS We found that CCI induced cortical injury in rats. Acute PA treatment at the dose of 62.5 mg/kg and 125 mg/kg significantly improved neurological deficits (p<0.05 and p<0.001, respectively) and decreased the cortical lesion volume (p<0.05 and p<0.001, respectively) compared with vehicle-only treatment. PA treatment at the dose of 125 mg/kg attenuated brain edema and ameliorated BBB integrity. In addition, PA treatment significantly reduced the loss of ATP (p<0.01), reduced lactic acid levels (p<0.001), and increased the activity of Na+/K+-ATPase (p<0.01). CONCLUSIONS Our results indicate PA has neuroprotective effects on TBI through increasing ATP levels, Na+/K+-ATPase activity, and reducing brain edema. It provides experimental evidence for the clinical application of PA.

[Two New Abietane Type Diterpenes from Pinecones of Pinus griffithii].

Objective: To study the chemical constituents from the pinecones of Pinus griffithii. Methods: The constituents were separated and purified with chromatographic methods,and spectroscopic analysis were employed for structural elucidation. Results: Two new abietane type diterpenes and seven known compounds were isolated from the pinecones of Pinus griffithii,and were identified as 15-hydroxy-7α-methoxy-abiet-8,11,13-trien-18-oic acid( 1),7α,13-dihydroxy-podocarpane-8,11,13-trien-18-oic acid( 2),7,12,13,15-tetrahydroxy-abiet-8( 14)-en-18-oic acid( 3),7ß,15-dihydroxy-abiet-8,11,13-trien-18-oic acid( 4),18-norabiet-8,11,13-trien-4,7,15-triol( 5),15-hydroxy-abiet-8,11,13-trien-18-oic acid( 6),7α-hydroxy-15-methoxy-abiet-8,11,13-trien-18-oic acid( 7),7α-hydroxypodocarpen-8( 14)-en-13-one-18-oic acid( 8), oleanolic acid( 9). Conclusion: Compounds 1,2 are the new abietane type diterpene,and all compounds are isolated from this plant for first time.

[Comparison of efficacy for mammography versus ultrasonography in stages T1 and Tis breast cancer].

OBJECTIVE: To compare the efficacy of mammography versus ultrasonography in detecting stages T1 and Tis breast cancer. METHODS: Mammography and ultrasonograhpy data were collected for 1 630 stages T1 and Tis breast cancer from July 2011 to July 2013. Chi-square test was used to analyze the detection rate and diagnostic rate of two methods. RESULTS: Among 1 630 patients with 1 665 focus, 1 559 focus were detected by both methods. In term of detection rate, mammography had a higher rate in mostly fatty and scattered fibroglandular breast while ultrasonography offered advantages in extremely dense breast. And statistical significance existed among these groups (P < 0.05). In heterogeneously dense group, the detection rate of two methods had no statistical significance (P > 0.05). In term of diagnostic rate, mammography had a higher diagnostic rate in mostly fatty and scattered fibroglandular breast. On the contrary, ultrasonography was superior to mammography in heterogeneously and extremely dense breast. No statistical significance existed among these groups (P > 0.05). Furthermore the focus were classified into mass and non-mass types based on mammographic images. As the volume of fibroglandular tissue increased, the amount of mass type focus increased while that of non-mass type focus decreased. CONCLUSION: For stages T1 and Tis breast cancer, mammography has higher detection and diagnostic rates in mostly fatty and scattered fibroglandular breast while ultrasonography is better for heterogeneously and extremely dense breast. There are some correlations between fibroglandular and focus types based on mammographic images.

Genetic polymorphisms of XRCC3 Thr241Met (C18067T, rs861539) and bladder cancer risk: a meta-analysis of 18 research studies.

The relationship of bladder cancer with the presence of X-ray cross-complementing group 3(XRCC3) genetic polymorphism Thr241Met has been reported with inconsistent results. The objective of this study was to quantitatively evaluate the association between this polymorphism and bladder cancer susceptibility. A comprehensive research was conducted through PubMed, Medline, Embase, and Web of Science databases up to Aug. 20, 2013. Pooled odds ratio and 95 % confidence interval were calculated using a fixed or random effects model. Statistical analysis was performed with Stata 12.0 software. Of the 18 case-control studies selected for this meta-analysis, a total of 5,667 bladder cancer cases and 7,609 controls were included. The combined results based on all studies suggested that XRCC3 Thr241Met was associated with bladder cancer risk under homozygote and recessive models. When stratifying for ethnicity, significant association was found in Caucasians under homozygote and recessive models. This meta-analysis suggests that XRCC3 Thr241Met polymorphism is a risk factor for bladder cancer risk. However, further well-designed studies are required to confirm our findings.

Citicoline protects brain against closed head injury in rats through suppressing oxidative stress and calpain over-activation.

Citicoline, a natural compound that functions as an intermediate in the biosynthesis of cell membrane phospholipids, is essential for membrane integrity and repair. It has been reported to protect brain against trauma. This study was designed to investigate the protective effects of citicoline on closed head injury (CHI) in rats. Citicoline (250 mg/kg i.v. 30 min and 4 h after CHI) lessened body weight loss, and improved neurological functions significantly at 7 days after CHI. It markedly lowered brain edema and blood-brain barrier permeability, enhanced the activities of superoxide dismutase and the levels of glutathione, reduced the levels of malondialdehyde and lactic acid. Moreover, citicoline suppressed the activities of calpain, and enhanced the levels of calpastatin, myelin basic protein and αII-spectrin in traumatic tissue 24 h after CHI. Also, it attenuated the axonal and myelin sheath damage in corpus callosum and the neuronal cell death in hippocampal CA1 and CA3 subfields 7 days after CHI. These data demonstrate the protection of citicoline against white matter and grey matter damage due to CHI through suppressing oxidative stress and calpain over-activation, providing additional support to the application of citicoline for the treatment of traumatic brain injury.

[Study on preparation of breviscapine liposomes and chemicophysical properties].

OBJECTIVE: To prepare breviscapine pro-liposomes and evaluate its properties and stability, as well as its interaction with the mimic-membrane. METHODS: Breviscapine liposomes were prepared by thin film-lyophilization method. Phase inversion temperature was measured by electrical conductance method and coalescence kinetics was studied. Water/n-octanol trans-membrane diffusion model was designed to study the dynamic distribution behavior between two phases, through the determination of diffusion rate of breviscapine and liposomes. RESULTS: The phase inversion temperature was 63 degrees C, the activity energy for coalescence was 14.66 kJ/mol. The results suggested that breviscapine from liposomes staying on the interface were found more than the breviscapine infusion. CONCLUSION: Breviscapine liposomes prepared with thin film-lyophilization method have good physicochemical properties and stability, which is beneficial to treatment.