MLMSeg: A multi-view learning model for ultrasound thyroid nodule segmentation

Accurate segmentation of the thyroid gland in ultrasound images is an essential initial step in distinguishing between benign and malignant nodules, thus facilitating early diagnosis. Most existing deep learning-based methods to segment thyroid nodules are learned from only a single view or two views, which limits the performance of segmenting nodules at different scales in complex ultrasound scanning environments. To address this limitation, this study proposes a multi-view learning model, abbreviated as MLMSeg. First, a deep convolutional neural network is introduced to encode the features of the local view. Second, a multi-channel transformer module is designed to capture long-range dependency correlations of global view between different nodules. Third, there are semantic relationships of structural view between features of different layers. For example, low-level features and high-level features are endowed with hidden relationships in the feature space. To this end, a cross-layer graph convolutional module is proposed to adaptively learn the correlations of high-level and low-level features by constructing graphs across different layers. In addition, in the view fusion, a channel-aware graph attention block is devised to fuse the features from the aforementioned views for accurate segmentation of thyroid nodules. To demonstrate the effectiveness of the proposed method, extensive comparative experiments were conducted with 14 baseline methods. MLMSeg achieved higher Dice coefficients (92.10% and 83.84%) and Intersection over Union scores (86.60% and 73.52%) on two different thyroid datasets. The exceptional segmentation capability of MLMSeg for thyroid nodules can greatly assist in localizing thyroid nodules and facilitating more precise measurements of their transverse and longitudinal diameters, which is of significant clinical relevance for the diagnosis of thyroid nodules.

Dual Attention Adversarial Attacks With Limited Perturbations

The construction of undetectable adversarial examples with few perturbances remains a difficult problem in adversarial attacks. At present, most solutions use the standard gradient optimization algorithm to build adversarial examples by applying global perturbations to benign samples and then launch attacks on the targets (e.g., face recognition systems). However, when the perturbance size is limited, the performance of these approaches suffers substantially. The content of crucial places in an image, on the other hand, will impact the final prediction; if these areas can be investigated and limited perturbances introduced, an acceptable adversarial example will be constructed. Based on the foregoing research, this article offers a dual attention adversarial network (DAAN) to produce adversarial examples with limited perturbations. DAAN initially searches for effective areas in an input image using the spatial attention network and channel attention network, and then creates space and channel weights. Following that, these weights direct an encoder and a decoder to generate effective perturbation, which is then combined with the input to produce an adversarial example. Finally, the discriminator determines if the created adversarial examples are true or false, and the attacked model is utilized to determine whether the generated samples fit the attack targets. Extensive studies on various datasets show that DAAN not only delivers the best attack performance across all comparison algorithms with few perturbations, but it can also significantly improve the defensiveness of the attacked models.

The End-to-end Fetal Head Circumference Detection and Estimation in Ultrasound Images

In prenatal examinations, the fetal head circumference (HC) measurement is essential for assessing fetal weight and health conditions. The sonographers obtain the fetal HC manually by fitting peripheral skull ellipse in clinical practice, which is highly subjective, time-consuming, and experience-dependent. Recently, many fetal HC automatic measurement algorithms have been proposed to improve workflow efficiency in prenatal examination. But most automatic measurement algorithms focus on using fetal head segmentation as an intermediate processing step, and HC estimation relies heavily on segmentation results, which causes the accumulation of errors in the above two stages. Independent of the segmentation method, we design a regression network to generate the oriented bounding box to detect the head contour, and directly obtain the fetal head parameters with a pixel-based ellipse regression (PER) loss. Moreover, an effective 3D attention mechanism is integrated into the network to estimate HC more precisely without adding parameters in complex ultrasound images. The extensive experimental results on the public HC18 and our clinical dataset show that the proposed network provides a feasible scheme for end-to-end estimating fetal HC, and avoids the mistake brought by the intermediary processes.

Expression pattern of CRYAB and CTGF genes in two pig breeds at different altitudes

ABSTRACT Tibetan pigs are characterized by significant phenotypic differences relative to lowland pigs. Our previous study demonstrated that the genes CRYAB and CTGF were differentially expressed in heart tissues between Tibetan (highland breed) and Yorkshire (lowland breed) pigs, indicating that they might participate in hypoxia adaptation. CRYAB (ɑB-crystallin) and CTGF (connective tissue growth factor) have also been reported to be associated with lung development. However, the expression patterns of CRYAB and CTGF in lung tissues at different altitudes and their genetic characterization are not well understood. In this study, qRT-PCR and western blot of lung tissue revealed higher CRYAB expression levels in highland and middle-highland Tibetan and Yorkshire pigs than in their lowland counterparts. With an increase in altitude, the expression level of CTGF increased in Tibetan pigs, whereas it decreased in Yorkshire pigs. Furthermore, two novel single-nucleotide polymorphism were identified in the 5′ flanking region of CRYAB (g.39644482C>T and g.39644132T>C) and CTGF (g.31671748A>G and g.31671773T>G). The polymorphism may partially contribute to the differences in expression levels between groups at the same altitude. These findings provide novel insights into the high-altitude hypoxia adaptations of Tibetan pigs.

Socio-economic disparities in self-reported, tested, and diagnosed COVID-19 status

Backgrounds

Studies in clinical settings showed a potential relationship between Socio-Economic Status (SES) and lifestyle factors with COVID-19, but it is still unknown whether this holds in the general population. In this study we investigated the associations of SES with self-reported, tested, and diagnosed COVID-19 status in the general population.

Methods

Participants were 49,474 men and women (46 ± 12 yrs) residing in the Northern Netherlands from the Lifelines cohort study. SES indicators and lifestyle factors (i.e., smoking status, physical activity, alcohol intake, diet quality, sleep time, and TV watching time) were assessed by questionnaire from the Lifelines Biobank. Self-reported, tested, and diagnosed COVID-19 status were obtained from the Lifelines COVID-19 questionnaire.

Results

There were 4,711 participants who self-reported having had a COVID-19 infection, 2,883 participants tested for COVID-19, and 123 positive cases diagnosed in this study population. After adjustment for age, sex, lifestyle factors, BMI, and ethnicity, we found that participants with low education or low income were less likely to self-report a COVID-19 infection (OR [95%CI]: low education 0.78 [0.71-0.86]; low income 0.86 [0.79-0.93]), and be tested for COVID-19 (OR [95%CI]: low education 0.58 [0.52-0.66]; low income 0.86 [0.78-0.95]) compared with high education or high income groups, respectively.

Conclusions

Our findings suggest that the low SES group was the most vulnerable population to COVID-19 infection and self-reported and tested COVID-19 status in the general population was better predicted by SES than by lifestyle factors.

Key messages

This study innovatively included a broader range of COVID-19 status, including self-reported and tested COVID-19 status, to better understand COVID-19 related socio-economic factors. This study added evidence to the socio-economically patterned COVID-19 status in a general population instead of in clinical settings.

In situ hydrodeoxygenation of vanillin over Ni-Co-P/HAP with formic acid as a hydrogen source

A new noble metal-free Ni-Co-P/HAP (hydroxyapatite) amorphous alloy catalyst was synthesized by an impregnation-chemical reduction method; the structure and properties of the catalysts were characterized by XRD, SEM, BET, XPS and DSC. Based on the model of the hydrodeoxygenation (HDO) of vanillin to 2-methoxy-4-methylphenol (MMP) with formic acid as a hydrogen source, the catalytic performance of the catalyst was studied. The results found that the Ni-Co-P/HAP catalyst exhibited excellent catalytic activity for the in situ HDO reaction of vanillin compared with Ni-P and Ni-Co-P. The conversion of vanillin could be high to 97.86% with MMP selectivity of 93.97% under optimized reaction conditions. In addition, mechanism studies have shown that the side reaction of carbocation and vanillyl alcohol (HMP) condensation can be effectively reduced with increasing the hydrogenation rate, thereby the selectivity of MMP was effectively increased.

A Novel Multi-task Tensor Correlation Neural Network for Facial Attribute Prediction

Multi-task learning plays an important role in face multi-attribute prediction. At present, most researches excavate the shared information between attributes by sharing all convolutional layers. However, it is not appropriate to treat the low-level and high-level features of the face multi-attribute equally, because the high-level features are more biased toward the specific content of the category. In this article, a novel multi-attribute tensor correlation neural network (MTCN) is used to predict face attributes. MTCN shares all attribute features at the low-level layers, and then distinguishes each attribute feature at the high-level layers. To better excavate the correlations among high-level attribute features, each sub-network explores useful information from other networks to enhance its original information. Then a tensor canonical correlation analysis method is used to seek the correlations among the highest-level attributes, which enhances the original information of each attribute. After that, these features are mapped into a highly correlated space through the correlation matrix. Finally, we use sufficient experiments to verify the performance of MTCN on the CelebA and LFWA datasets and our MTCN achieves the best performance compared with the latest multi-attribute recognition algorithms under the same settings.

[Characteristics and predictors of postoperative outcome of Crohn disease patients requiring abdominal surgery: a series of 1 048 cases from a single inflammatory bowel disease centre]

Objective: To examine the clinical characteristics, the potential relative factors for postoperative abdominal septic complications, and prognosis factors of surgical recurrence of Crohn disease (CD) patients after the first surgery. Methods: All the CD patients from Department of General Surgery, Jinling Hospital, Medical School of Nanjing University who had undergone at least one abdominal surgery from January 2007 to December 2017 were included for retrospective analysis. Hospital records were reviewed for information on clinical characteristics. Relative factors of postoperative abdominal septic complications were accessed by Logistic regression models, and prognosis factors of surgical recurrence were accessed by Cox proportional hazards regression models. Results: There were 1 048 patients included (733 males and 315 females), accounting for 1 513 operations. The age was 31(17) years and the length of resected small bowel was 30.0(40.0) cm at the first resection, 20.0(35.0) cm at the second resection, and 20.0(23.5) cm at the third resection. The length of resected small bowel was 25.0(40.0) cm at any resection. At the first abdominal surgery, 70.99%(744/1 048) patients were aged between 17 and 40 years, 66.98%(702/1 048) patients had ileocolonic disease, and 60.40%(633/1 048) patients had penetrating behavior. Penetrating behavior (OR=8.594, 95%CI: 3.397 to 21.740, P<0.01) and current smoking status (OR=2.671, 95%CI: 1.044 to 6.832, P=0.040) were significantly associated with an increased risk of postoperative septic complications, whereas staged operation (OR=0.360, 95%CI: 0.184 to 0.707, P=0.003) was associated with a decreased risk. Male gender (HR=1.500, 95%CI: 1.128 to 1.995, P=0.005), upper gastrointestinal disease (HR=1.526, 95%CI: 1.033 to 2.255, P=0.034), penetrating behavior (HR=1.506, 95%CI: 1.132 to 2.003, P=0.005) and emergency surgery (HR=1.812, 95%CI: 1.375 to 2.387, P<0.01) were significantly associated with an increased risk of postoperative surgical recurrence, whereas staged operation (HR=0.361, 95%CI: 0.227 to 0.574, P<0.01) was significantly associated with a decreased risk. Conclusions: In this cohort of CD patients receiving abdominal surgery from an inflammatory bowel disease center, the median age was 31 years and the median length of resected small bowel was 30 cm, at first resection. Patients who have risk factors of adverse postoperative outcome may be benefited from staged surgical approach.

[Clinical characteristics of elderly and younger onset rheumatoid arthritis]

Objective: To compare the clinical and laboratory characteristics and therapy methods of elderly onset rheumatoid arthritis (EORA) and younger onset rheumatoid arthritis (YORA). Methods: The clinical, laboratory and therapeutic data of 481 RA patients in the Department of Rheumatology and Immunology in Peking University Third Hospital from January 2013 to December 2018 were collected and used to analyze the difference of characteristics between EORA group and YORA group, which might be useful for better diagnosis and treatment of EORA patients. Quantitative data of normal distribution were compared with t test between the two groups. Results: There were 481 patients in this cohort, of which 137(28.5%) were EORA, 344(71.5%) were YORA, with a mean age of (59±14) years (19-87 years). There were 358 females (74.4%) and 123 males (25.6%). The percentage of male patients was obviously higher in EORA group (36.5% vs 21.2%, χ(2)=12.012, P<0.01), and the average disease course was obviously shorter (Z=-7.985, P<0.01). Disease Activity Score 28 (DAS28) score was higher in EORA group (5.6±1.3 vs 5.2±1.6, t=2.549, P<0.05), meanwhile the incidences of pleural effusion and interstitial lung disease (ILD) were higher (6.6% vs 1.7%, 29.9% vs 18.3%, respectively; χ(2)=7.550, 7.797, both P<0.05). The incidences of venous thrombosis, primary hypertension, diabetes mellitus, cerebrovascular disease, coronary heart disease (CHD), peripheral atherosclerosis and cataract in EORA group were all significantly higher than those in YORA group (all P<0.05). Erythrocyte sedimentation rate (ESR) and D-Dimer in EORA group were all remarkably higher (both P<0.05). The rate of using glucocorticoid in EORA group was higher but the rate of using methotrexate and anti-tumor necrosis factor-α agents were lower (χ(2)=5.271, 8.407, 9.356, all P<0.05). Conclusion: Compared to YORA group, the percentage of male patients and disease activity of EORA group are higher. The occurrence of pleural effusion, ILD, venous thrombosis, primary hypertension, diabetes mellitus, cerebrovascular disease, CHD, peripheral atherosclerosis and cataract in EORA group are higher than those in YORA group.

Characterization of gut microbiota and short-chain fatty acid in breastfed infants with or without breast milk jaundice

This study aims to investigate the gut microbiota and metabolites in breastfed infants with breast milk jaundice (BMJ) using gut microbiome-metabolomics. Breastfed newborns diagnosed with BMJ and those without BMJ (control group) were enrolled. Faecal samples were collected from the participants and subjected to high-throughput sequencing of the 16s rDNA V3 and V4 regions of the gut flora and metabolomics of short-chain fatty acids (SCFAs). Proteobacteria, Fimicutes and Actinobacteria were the main bacteria at the phylum level. Eshcerichia-Shigella and Enterobacteriacea were the main bacteria at the genus level. The difference between the two groups was compared. Compared to the control group, the amount of Streptococcus was significantly increased while the amount of Enterococcus was significantly decreased in the faeces from infants with BMJ. Functional prediction analysis of 16S found that biosynthesis of penicillin and cephalosporin significantly increased in the BMJ group. Gas chromatography-mass spectrometry detection of SCFAs revealed that levels of acetic acid and propionic acid were significantly lower in the BMJ group than in the control group. The reduced levels of acetic acid and propionic acid may be related to the increase in Streptococcus and decrease in Enterococcus, both of which may contribute to BMJ.

Associations of ultra-processed food and its consumption patterns with incident type 2 diabetes

Background

To study the associations of the consumption of ultra-processed food (UPF) and its underlying habitual consumption patterns with incident type 2 diabetes (T2D) in a large population-based cohort.

Methods

In 70 421 participants (35-70 years, 58.6% women) from the Lifelines cohort study, dietary intake was assessed with a food frequency questionnaire. Principal component analysis (PCA) was performed to derive UPF consumption patterns. UPF was related to incident diabetes with adjustments for confounders, including overall diet quality.

Results

During a median follow-up of 41 months, the intake of UPF was associated with higher risk of type 2 diabetes (1128 cases, OR for a 10% increment in UPF intake 1.33 [95% CI 1.26, 1.41]), and remained significant after adjustment for confounders. PCA revealed four habitual UPF consumption patterns. A pattern high in cold savory snacks (OR 1.16 [95% CI 1.09, 1.22]) and a pattern high in warm savory snacks (OR 1.15 [95% CI 1.08, 1.21]) were associated with an increased diabetes risk; a pattern high in traditional Dutch cuisine was not associated with diabetes risk (OR 1.05 [95% CI 0.97, 1.14]); while a pattern high in sweet snacks and pastries was inversely associated with diabetes risk (OR 0.82 [95% CI 0.76, 0.89]). There was a clear inverse association between diabetes risk at baseline and the sweet snacks and pastries pattern (β = -0.104 [95% CI -0.113, -0.094]).

Conclusions

A higher consumption of UPF was associated with higher risk of type 2 diabetes. For consumption patterns, this association was most pronounced for the patterns that were high in savory snacks. Our findings emphasize that in addition to promoting the consumption of healthy food products, discouraging the consumption of UPF, specifically savory snacks, should be considered as part of future diabetes prevention strategies.

Key messages

Ultra-processed foods intake was associated with increased risk of type 2 diabetes. Consumption patterns of ultra-processed foods should be the focus for future policies.

Using Structural Equation Modelling to Untangle Pathways of Factors Associated with Type 2 Diabetes

Background

Risk factors for type 2 diabetes (T2D) are multi-facet and interrelated. We aimed to apply structural equation modelling to examine and quantify pathways of modifiable risk factors related to incident type 2 diabetes.

Methods

Analysis was based on 68 649 participants (35-80 years, without diabetes at baseline) from the Lifelines cohort study. We proposed a conceptual model that illustrates the pathways of risk factors related to incident type 2 diabetes: socio-economic status (income and education) → lifestyle behaviors (diet quality, physical activity, TV watching, and smoking) → clinical markers (blood lipids and obesity status) → incident type 2 diabetes. Structural equation modeling was performed to test this proposed model.

Results

After a median follow-up of 41 months, 1124 new cases of type 2 diabetes were identified. The best-fitting model indicated that among all modifiable risk factors included, waist circumference had the biggest direct effect on type 2 diabetes (β: 0.213 ), followed by HDL-cholesterol (β: -0.141). Less TV watching and more physical activity were found to play an important role in improving clinical markers that were directly associated with type 2 diabetes. Education had the biggest direct effects on all lifestyle behaviors.

Conclusions

Using this innovative approach, our analysis provides a more nuanced assessment of the interplay of type 2 diabetes risk factors, compared to traditional risk estimates. Our results indicated that reducing large waist circumference may be prioritized as the main target for the prevention of type 2 diabetes, and lifestyle interventions are urgently warranted with additional support for those with a low education.

Key messages

Our study elucidated the multiple causal pathways to type 2 diabetes in a prospective setting. Our results identified the most critical targets for future prevention strategies for type 2 diabetes.

[Clinical significance and mechanism of TBX5 gene in colorectal cancer]

Objective: To examine the expression of T-box5 (TBX5) in colorectal cancer tissues and its clinical significance, and explore the effects of TBX5 on the invasion and metastasis of colorectal cancer cells and its mechanism. Methods: The expressions of TBX5 in cancer and adjacent normal tissues were tested by immunohistochemistry (IHC), and the relationship between TBX5 and clinicopathological features and prognosis of colorectal cancer was analyzed. Real-time quantitative PCR (RT-qPCR) and western blot were used to detect the expressions of TBX5 in different colorectal cancer cell lines. TBX5 overexpression plasmid was constructed and transfected into human colorectal cancer cell line HT-29, and cell counting kit-8 (CCK-8) was used to detect the activities of transfection HT-29 cells. Cell scratch test and Transwell assay were used to detect the migration and invasion abilities of cells, while RT-qPCR and western blot were used to detect the mRNA and protein expressions of PCNA, p21, p16, p27, MMP-2, MMP-7 and TIMP-1. Results: The positive rate of TBX5 protein in colorectal cancer tissues was 24.44% (22/90), significantly lower than 65.56% of adjacent normal tissues (P<0.001). The expression of TBX5 was significantly related to lymph node metastasis, depth of invasion and nerve invasion (P<0.05). The survival period of 22 patients with positive TBX5 expression was (60.2±2.4) months, better than (44.3±2.8) months of 68 patients with negative TBX5 expression (P<0.05). Among human colon cancer cell lines of HT29, SW620, SW480, LOVO and HCT116, the expression of TBX5 in HT29 cells was the weakest. After transfection, the expression of TBX5 in transfection group was significantly higher than those in control group and blank group (P=0.043 and P<0.001). Cell viability in transfection group was significantly lower than those in control group and blank group (both P<0.001). The ratio of cells in G(0)/G(1) phase was increased (P=0.009), while in G(2)/M phase was decreased (P<0.001). Cells' abilities of migration and invasion in transfection group were also significantly decreased (both P<0.001). Overexpression of TBX5 downregulated the expressions of PCNA, MMP-2 and MMP-7, while upregulated the expressions of p21, p16, p27 (P<0.05 for all). TBX5 had marginal effect on the expression of TIMP-1 (P>0.05). Conclusions: Downregulation of TBX5 is a marker of poor prognosis in patients with colorectal cancer. TBX5 may inhibit the progression of colorectal cancer by inhibiting proliferation, invasion and metastasis related genes.

Computing Time-Varying Quadratic Optimization With Finite-Time Convergence and Noise Tolerance: A Unified Framework for Zeroing Neural Network

Zeroing neural network (ZNN), as a powerful calculating tool, is extensively applied in various computation and optimization fields. Convergence and noise-tolerance performance are always pursued and investigated in the ZNN field. Up to now, there are no unified ZNN models that simultaneously achieve the finite-time convergence and inherent noise tolerance for computing time-varying quadratic optimization problems, although this superior property is highly demanded in practical applications. In this paper, for computing time-varying quadratic optimization within finite-time convergence in the presence of various additive noises, a new framework for ZNN is designed to fill this gap in a unified manner. Specifically, different from the previous design formulas either possessing finite-time convergence or possessing noise-tolerance performance, a new design formula with finite-time convergence and noise tolerance is proposed in a unified framework (and thus called unified design formula). Then, on the basis of the unified design formula, a unified ZNN (UZNN) is, thus, proposed and investigated in the unified framework of ZNN for computing time-varying quadratic optimization problems in the presence of various additive noises. In addition, theoretical analyses of the unified design formula and the UZNN model are given to guarantee the finite-time convergence and inherent noise tolerance. Computer simulation results verify the superior property of the UZNN model for computing time-varying quadratic optimization problems, as compared with the previously proposed ZNN models.

A Parallel Multiclassification Algorithm for Big Data Using an Extreme Learning Machine

As data sets become larger and more complicated, an extreme learning machine (ELM) that runs in a traditional serial environment cannot realize its ability to be fast and effective. Although a parallel ELM (PELM) based on MapReduce to process large-scale data shows more efficient learning speed than identical ELM algorithms in a serial environment, some operations, such as intermediate results stored on disks and multiple copies for each task, are indispensable, and these operations create a large amount of extra overhead and degrade the learning speed and efficiency of the PELMs. In this paper, an efficient ELM based on the Spark framework (SELM), which includes three parallel subalgorithms, is proposed for big data classification. By partitioning the corresponding data sets reasonably, the hidden layer output matrix calculation algorithm, matrix decomposition algorithm, and matrix decomposition algorithm perform most of the computations locally. At the same time, they retain the intermediate results in distributed memory and cache the diagonal matrix as broadcast variables instead of several copies for each task to reduce a large amount of the costs, and these actions strengthen the learning ability of the SELM. Finally, we implement our SELM algorithm to classify large data sets. Extensive experiments have been conducted to validate the effectiveness of the proposed algorithms. As shown, our SELM achieves an speedup on a cluster with ten nodes, and reaches a speedup with 15 nodes, an speedup with 20 nodes, a speedup with 25 nodes, a speedup with 30 nodes, and a speedup with 35 nodes.

Selectivity of a QCM gas sensor modified by ZnSn(OH)6via analysis of adsorption thermodynamics and kinetics

In this paper, a novel analysis approach was employed to achieve the selectivity of a quartz crystal microbalance (QCM) sensor.

CD11b immunophenotyping identifies inflammatory profiles in the mouse and human lungs

The development of easily accessible tools for human immunophenotyping to classify patients into discrete disease endotypes is advancing personalized therapy. However, no systematic approach has been developed for the study of inflammatory lung diseases with often complex and highly heterogeneous disease etiologies. We have devised an internally standardized flow cytometry approach that can identify parallel inflammatory alveolar macrophage phenotypes in both the mouse and human lungs. In mice, lung innate immune cell alterations during endotoxin challenge, influenza virus infection, and in two genetic models of chronic obstructive lung disease could be segregated based on the presence or absence of CD11b alveolar macrophage upregulation and lung eosinophilia. Additionally, heightened alveolar macrophage CD11b expression was a novel feature of acute lung exacerbations in the SHIP-1(-/-) model of chronic obstructive lung disease, and anti-CD11b antibody administration selectively blocked inflammatory CD11b(pos) but not homeostatic CD11b(neg) alveolar macrophages in vivo. The identification of analogous profiles in respiratory disease patients highlights this approach as a translational avenue for lung disease endotyping and suggests that heterogeneous innate immune cell phenotypes are an underappreciated component of the human lung disease microenvironment.

Efficiency of live attenuated and inactivated rabies viruses in prophylactic and post exposure vaccination against the street virus strain

Rabies remains an enigmatic and widely discussed global infectious disease and causes an increasing number of deaths. The currently used highly effective prophylactic and post exposure (p.e.) vaccination depends solely upon inexpensive, effective and safe vaccines to counteract the spread of the disease. In this study, the potential of an attenuated Chinese rabies vaccine (SRV9) strain in prophylactic and p.e. vaccination against the street strain of rabies virus (RV) was evaluated in mice. Prophylactic vaccination consisting of one intramuscular (i.m.) dose of SRV9 protected 100% of mice from intracerebral (i.c.) challenge with a lethal dose of the street virus. The latter was detected in the brain of mice at day 6 post challenge by RT-PCR. Post exposure vaccination was performed at days 1, 2, 3, 4, 5 and 6 post infection (p.i.) with either SRV9 or inactivated rabies vaccine. The survival rates after i.m. inoculation of SRV9 at the indicated days were 70%, 50%, 30%, 20%, 10%, and 0%, respectively; the corresponding survival rates for the inactivated rabies vaccine were 30%, 20%, 10%, 0%, 0%, and 0%, respectively. However, 100%, 90%, 70%, 50%, 20%, 10%, and 10% of mice survived after i.c. inoculation of SRV9 at the indicated days. The increased permeability of the blood-brain barrier and the infiltration of CD19+ B cells into the central nervous system after i.c. inoculation of SRV9 are regarded as prerequisites for the clearance of the street virus. The obtained data suggest that SRV9 is a promising candidate for prophylactic and p.e. vaccination against rabies infection and that it exhibits a potential for the control of rabies in China.

A Novel Hybrid Multi-Objective Population Migration Algorithm

This paper presents a multi-objective co-evolutionary population migration algorithm based on Good Point Set (GPSMCPMA) for multi-objective optimization problems (MOP) in view of the characteristics of MOPs. The algorithm introduces the theory of good point set (GPS) and dynamic mutation operator (DMO) and adopts the entire population co-evolutionary migration, based on the concept of Pareto nondomination and global best experience and guidance. The performance of the algorithm is tested through standard multi-objective functions. The experimental results show that the proposed algorithm performs much better in the convergence, diversity and solution distribution than SPEA2, NSGA-II, MOPSO and MOMASEA. It is a fast and robust multi-objective evolutionary algorithm (MOEA) and is applicable to other MOPs.

Alterations in microRNA expression profile in rabies virus-infected mouse neurons

Rabies virus (RABV) is known to cause a fatal infection in many mammalian species, yet its pathogenesis remains poorly understood. This study was performed to analyze the microRNA (miRNA) expression profiles in RABV-infected primary neurons of mice. A total of 53 miRNAs were found to be differentially expressed in RABV-infected samples compared with mock samples in a time-dependent manner. Among them, the expression of ten miRNAs was validated by real-time RT-PCR. Potential target genes of differentially expressed miRNAs were predicted by TargetScan. Further bioinformatics analysis indicated that these predicted targets were overrepresented in neuronal function-related Gene Ontology (GO) terms and biological pathways. The results of this study suggest that RABV may cause neuronal dysfunction by regulating cellular miRNA expression.

Risk-taking behaviour may explain high predation mortality of GH-transgenic common carp Cyprinus carpio

The competitive ability and habitat selection of juvenile all-fish GH-transgenic common carp Cyprinus carpio and their size-matched non-transgenic conspecifics, in the absence and presence of predation risk, under different food distributions, were compared. Unequal-competitor ideal-free-distribution analysis showed that a larger proportion of transgenic C. carpio fed within the system, although they were not overrepresented at a higher-quantity food source. Moreover, the analysis showed that transgenic C. carpio maintained a faster growth rate, and were more willing to risk exposure to a predator when foraging, thereby supporting the hypothesis that predation selects against maximal growth rates by removing individuals that display increased foraging effort. Without compensatory behaviours that could mitigate the effects of predation risk, the escaped or released transgenic C. carpio with high-gain and high-risk performance would grow well but probably suffer high predation mortality in nature.

Evolutionary characterization of the pandemic H1N1/2009 influenza virus in humans based on non-structural genes

The 2009 influenza pandemic had a tremendous social and economic impact. To study the genetic diversity and evolution of the 2009 H1N1 virus, a mutation network for the non-structural (NS) gene of the virus was constructed. Strains of the 2009 H1N1 pandemic influenza A virus could be divided into two categories based on the V123I mutation in the NS1 gene: G1 (characterized as 123 Val) and G2 (characterized as 123 Ile). Sequence homology analysis indicated that one type of NS sequence, primarily isolated from Mexico, was likely the original type in this pandemic. The two genotypes of the virus presented distinctive clustering features in their geographic distributions. These results provide additional insight into the genetics and evolution of human pandemic influenza H1N1.

Identification of cellular proteins interacting with influenza A virus PB1-F2 protein

The influenza A virus (IAV) protein PB1-F2, which is encoded by an alternative ORF of the PB1 polymerase gene, has been implicated as an important virulence factor and apoptosis inducer. However, the molecular mechanism of PB1-F2 function remains elusive. In this study, eight cellular proteins were identified as potential PB1-F2 interacting partners using the yeast two-hybrid system. Two positive candidate proteins, guanine nucleotide binding protein (G protein) beta polypeptide 2 (Gβ2) and macrophage migration inhibitory factor (MIF), were selected to be further characterized. The interaction of MIF and Gβ2 with PB1-F2 was confirmed by both GST pull-down and co-immunoprecipitation assays. Confocal laser microscopy showed that the interaction between PB1-F2 and the two cellular proteins occurred in the cytoplasm. The novel interactions between PB1-F2 and host proteins provide further pieces of evidence in the investigation of the pathogenic mechanism of IAV.

KEYWORDS

influenza A virus; PB1-F2; yeast two-hybrid; protein-protein interaction.

Improvement of the oral bioavailability of coenzyme Q10 with lecithin nanocapsules

Coenzyme Q10-loaded lecithin nanocapsules (CoQ10-LNCs), composed of a CoQ10/lecithin/ GTCC/glycerol aqueous solution, were prepared by high-pressure homogenization. The zeta potential of the CoQ10-LNCs above -60 mV was determined on a Malvern Zetasize 2000 (Malvern Instruments, UK). The spherical shape of the CoQ10-LNCs was observed by using freeze-fracture transmission electron microscopy (FF-TEM), and the particle size was found to be below 100 nm. The supercooled state of the CoQ10-LNCs was observed by differential scanning calorimetry (DSC). In an oral bioavailability study, the CoQ10 plasma level after administering CoQ10-LNCs was higher than that after administering a CoQ10 tablet over 24 hours, and the relative bioavailability of CoQ10 was improved to 176.6% in mice. Based on the above results, the LNC delivery system might be a potential vehicle for improving the oral bioavailability of CoQ10.

Exosome-mediated shuttling of microRNA-29 regulates HIV Tat and morphine-mediated neuronal dysfunction

Neuronal damage is a hallmark feature of HIV-associated neurological disorders (HANDs). Opiate drug abuse accelerates the incidence and progression of HAND; however, the mechanisms underlying the potentiation of neuropathogenesis by these drugs remain elusive. Opiates such as morphine have been shown to enhance HIV transactivation protein Tat-mediated toxicity in both human neurons and neuroblastoma cells. In the present study, we demonstrate reduced expression of the tropic factor platelet-derived growth factor (PDGF)-B with a concomitant increase in miR-29b in the basal ganglia region of the brains of morphine-dependent simian immunodeficiency virus (SIV)-infected macaques compared with the SIV-infected controls. In vitro relevance of these findings was corroborated in cultures of astrocytes exposed to morphine and HIV Tat that led to increased release of miR-29b in exosomes. Subsequent treatment of neuronal SH-SY5Y cell line with exosomes from treated astrocytes resulted in decreased expression of PDGF-B, with a concomitant decrease in viability of neurons. Furthermore, it was shown that PDGF-B was a target for miR-29b as evidenced by the fact that binding of miR-29 to the 3′-untranslated region of PDGF-B mRNA resulted in its translational repression in SH-SY5Y cells. Understanding the regulation of PDGF-B expression may provide insights into the development of potential therapeutic targets for neuronal loss in HIV-1-infected opiate abusers.

Reassortant H9N2 influenza viruses containing H5N1-like PB1 genes isolated from black-billed magpies in Southern China

H9N2 influenza A viruses have become endemic in different types of terrestrial poultry and wild birds in Asia, and are occasionally transmitted to humans and pigs. To evaluate the role of black-billed magpies (Pica pica) in the evolution of influenza A virus, we conducted two epidemic surveys on avian influenza viruses in wild black-billed magpies in Guangxi, China in 2005 and characterized three isolated black-billed magpie H9N2 viruses (BbM viruses). Phylogenetic analysis indicated that three BbM viruses were almost identical with 99.7 to 100% nucleotide homology in their whole genomes, and were reassortants containing BJ94-like (Ck/BJ/1/94) HA, NA, M, and NS genes, SH/F/98-like (Ck/SH/F/98) PB2, PA, and NP genes, and H5N1-like (Ck/YN/1252/03, clade 1) PB1 genes. Genetic analysis showed that BbM viruses were most likely the result of multiple reassortments between co-circulating H9N2-like and H5N1-like viruses, and were genetically different from other H9N2 viruses because of the existence of H5N1-like PB1 genes. Genotypical analysis revealed that BbM viruses evolved from diverse sources and belonged to a novel genotype (B46) discovered in our recent study. Molecular analysis suggested that BbM viruses were likely low pathogenic reassortants. However, results of our pathogenicity study demonstrated that BbM viruses replicated efficiently in chickens and a mammalian mouse model but were not lethal for infected chickens and mice. Antigenic analysis showed that BbM viruses were antigenic heterologous with the H9N2 vaccine strain. Our study is probably the first report to document and characterize H9N2 influenza viruses isolated from black-billed magpies in southern China. Our results suggest that black-billed magpies were susceptible to H9N2 influenza viruses, which raise concerns over possible transmissions of reassortant H9N2 viruses among poultry and wild birds.

Multivalent DNA vaccine induces protective immune responses and enhanced resistance against Cryptosporidium parvum infection

The aim of this work was to evaluate efficiency as well as the type of immune response, Th1 or Th2, induced by multivalent DNA vaccinations in C57BL/6 interleukin-12p40 (IL-12p40) knockout (KO) mice. A recombinant pVAX-15-23 plasmid DNA was constructed by inserting surface glycoprotein (cp15- and p23)-encoding DNA into the pVAX1 expression vector. Various parameters including antibody and cytokine responses, proliferation assay and oocyst shedding were used to evaluate the type of immune response and the level of protection against challenge infection. Obtained results indicated that plasmid pVAX-15-23 induced strong protective immune response against C. parvum characterized by dominance of IgG2a, high level of INF-γ and lower level of the oocysts shedding after challenge infection. Moreover, co-immunization with the multivalent DNA and pMEM12R plasmid encoding IL-12 can further enhance these responses compared with the multivalent DNA alone. The obtained results suggest that multivalent pVAX-15-23 DNA vaccine may be a candidate as a generic approach to C. parvum immunization applicable to clinical practice.

Construction of effective receptor for recognition of avian influenza H5N1 protein HA1 by assembly of monohead glycolipids on polydiacetylene vesicle surface

Fast and sensitive detection of epidemic virus is of the utmost importance for human being in nowadays. Various biosensors have been designed for this goal based on conjugation event between host cell glycolipids and invading virus. However, multihead glycolipids analogous to native receptors on cell surface are known to be very difficult to mimic because of the complexity of chemical synthesis. Here, we developed a new approach where two types of monohead glycolipids, active sialic acid-beta-glucoside (G1) and inactive lactose-beta-glucoside (G2), are embedded onto the surface of a polydiacetylene (PDA) vesicle to mimic native glycolipids on the cell surface. Vesicles prepared in this manner show good selectivity with a 10 ng/mL detection limit and 5 min response time to Hemagglutinin (HA1), which is more sensitive than any HA1 biosensors ever known. Moreover, in the formation of color-changeable vesicles, a very strong synergistic effect between G1 and G2 has been found, offering a novel strategy to construct effective biosensor receptors, as well as a new way to study the surface combination effect that is potentially important to the immunology study of epidemic disease.

New evidence suggests Southern China as a common source of multiple clusters of highly pathogenic H5N1 avian influenza virus

Highly pathogenic H5N1 avian influenza is considered an avian disease, although there is some evidence of limited human-to-human transmission of the virus. A global effort is underway to control or eradicate the highly pathogenic H5N1 avian influenza virus in poultry and prevent human exposure, both of which may also reduce the risk of pandemic emergence. Hemagglutinin gene sequences from 215 human H5N1 influenza viruses were used to trace the source and dispersal pattern of human H5N1 influenza viruses on a global scale. A mutation network and phylogenetic analyses of the hemagglutinin gene show that human H5N1 influenza viruses can be clearly divided among 4 clusters across geographic space. On the basis of analysis of the N-glycosylation sites at positions 100 and 170 in the hemagglutinin protein, human H5N1 influenza viruses were also divided into 3 types. When we combined these analyses with geographic information system data analyses, we found that Southern China is often a common source of multiple clusters of H5N1 influenza viruses and that each cluster has different dispersal patterns and individual evolutionary features. In summary, the genetic evidence presented here provides clear evidence for multiple clusters of human H5N1 influenza viruses that initially originated in Southern China.

Characterisation and Skin Distribution of Lecithin-Based Coenzyme Q10-Loaded Lipid Nanocapsules

The purpose of this study was to investigate the influence of the inner lipid ratio on the physicochemical properties and skin targeting of surfactant-free lecithin-based coenzyme Q10-loaded lipid nanocapsules (CoQ10-LNCs). The smaller particle size of CoQ10-LNCs was achieved by high pressure and a lower ratio of CoQ10/GTCC (Caprylic/capric triglyceride); however, the zeta potential of CoQ10-LNCs was above /- 60 mV/ with no distinct difference among them at different ratios of CoQ10/GTCC. Both the crystallisation point and the index decreased with the decreasing ratio of CoQ10/GTCC and smaller particle size; interestingly, the supercooled state of CoQ10-LNCs was observed at particle size below about 200 nm, as verified by differential scanning calorimetry (DSC) in one heating-cooling cycle. The lecithin monolayer sphere structure of CoQ10-LNCs was investigated by cryogenic transmission electron microscopy (Cryo-TEM). The skin penetration results revealed that the distribution of Nile red-loaded CoQ10-LNCs depended on the ratio of inner CoQ10/GTCC; moreover, epidermal targeting and superficial dermal targeting were achieved by the CoQ10-LNCs application. The highest fluorescence response was observed at a ratio of inner CoQ10/GTCC of 1:1. These observations suggest that lecithin-based LNCs could be used as a promising topical delivery vehicle for lipophilic compounds.

The advantages of a novel CoQ10 delivery system in skin photo-protection

Skin photo-ageing induced by ultraviolet (UV) radiation is mainly ascribed to oxidative stress and reactive oxygen species (ROS). Coenzyme Q10 (CoQ10) has been reported as a powerful antioxidant in plasma. However, CoQ10 was barely satisfactory in topical drug delivery because of its lipid solubility. To improve the anti-oxidative efficiency of CoQ10 in skin photo-ageing, the present research prepared a novel CoQ10 nano-structured lipid carrier (CoQ10-NLC) and characterised it by size and freeze-fracture transmission electron microscopy (FF-TEM). In UVA-irradiated fibroblasts, the protection of CoQ10-NLC was more effective than the CoQ10-emulsion as demonstrated by cell viability and morphological changes of the cell body and nucleus. In addition, malondialdehyde (MDA, the product of lipid peroxidation) concentration decreased by 61.5% in the group treated with CoQ10-NLC compared to the group subjected to general CoQ10-emulsion. In the presence of CoQ10-NLC, the activities of the anti-oxidative enzymes superoxide dismutase (SOD) and glutathione peroxidase (GSH-px) were reinstated to 81% and 75%, respectively, of the control group. In vivo, the CoQ10-NLC displayed a stronger capability to penetrate the stratum corneum and permeate the dermis after a topical skin application. These results reveal that CoQ10-NLC has greater antioxidant properties and topical skin penetration than the CoQ10-emulsion.

Preparation and characterization of a lecithin nanoemulsion as a topical delivery system

Purpose of this study was to establish a lecithin nanoemulsion (LNE) without any synthetic surfactant as a topical delivery vehicle and to evaluate its topical delivery potential by the following factors: particle size, morphology, viscosity, stability, skin hydration and skin penetration. Experimental results demonstrated that an increasing concentration of soybean lecithin and glycerol resulted in a smaller size LNE droplet and increasing viscosity, respectively. The droplet size of optimized LNE, with the glycerol concentration above 75% (w/w), changed from 92 (F10) to 58 nm (F14). Additionally, LNE, incorporated into o/w cream, improved the skin hydration capacity of the cream significantly with about 2.5-fold increase when the concentration of LNE reached 10%. LNE was also demonstrated to improve the penetrability of Nile red (NR) dye into the dermis layer, when an o/w cream, incorporated with NR-loaded LNE, applied on the abdominal skin of rat in vivo. Specifically, the arbitrary unit (ABU) of fluorescence in the dermis layer that had received the cream with a NR-loaded LNE was about 9.9-fold higher than the cream with a NR-loaded general emulsion (GE). These observations suggest that LNE could be used as a promising topical delivery vehicle for lipophilic compounds.

Selenium deficiency impairs host innate immune response and induces susceptibility to Listeria monocytogenes infection

Background

Susceptibility or resistance to infection with Listeria monocytogenes correlates with Selenium (Se) deficiency in response to infection.

Results

Se-deficient mouse models of listeriosis were used to study the innate immune response during the course of L. monocytogenes infection. Blood samples from mouse models were used for Se status. The concentration of MDA, SOD, GPx and CAT in blood has revealed that lower Se level exist in Se-deficient mice. Intestine, mesenteric lymph node, liver, spleen and brain from each mouse were to study the bacterial burden in organs. The analysis of cell types of spleen from Se-deficient mice revealed that the ability of the host to elicit a rapid recruitment and activation of systemic innate immune response to infection was to a certain extent compromised under conditions of Se deficiency. The cytokine levels in the serum and cytokine expression levels in the livers from Se-deficient mice revealed that the innate immune response of Se-deficient mice was impaired throughout the course of infection. These results suggest that innate immune response is altered by Se deficiency after infection with L. monocytogenes.

Conclusion

In conclusion, induced susceptibility of host resistance is associated with an impaired innate immune response following infection with L. monocytogenes in C57BL/6 Se-deficient mice.

Elevated ability to compete for limited food resources by 'all-fish' growth hormone transgenic common carp Cyprinus carpio

Food consumption, number of movements and feeding hierarchy of juvenile transgenic common carp Cyprinus carpio and their size-matched non-transgenic conspecifics were measured under conditions of limited food supply. Transgenic fish exhibited 73.3% more movements as well as a higher feeding order, and consumed 1.86 times as many food pellets as their non-transgenic counterparts. After the 10 day experiment, transgenic C. carpio had still not realized their higher growth potential, which may be partly explained by the higher frequency of movements of transgenics and the 'sneaky' feeding strategy used by the non-transgenics. The results indicate that these transgenic fish possess an elevated ability to compete for limited food resources, which could be advantageous after an escape into the wild. It may be that other factors in the natural environment (i.e. predation risk and food distribution), however, would offset this advantage. Thus, these results need to be assessed with caution.

Development and evaluation of a recombinant CP23 antigen-based ELISA for serodiagnosis of Cryptosporidium parvum

The CP23 gene of Cryptosporidium parvum strain isolated from Changchun in China was expressed in Escherichia coli BL21 strain and was purified as a recombinant protein. An indirect ELISA assay (CP23-ELISA) for antibody detection was established using the purified recombinant CP23 protein. Antigen coating conditions and serum dilution for the CP23-ELISA were optimized. The S/P ratio of the absorbency value was calculated in the CP23-ELISA to evaluate the serum antibody level of the field cow samples. It indicated that the CP23-ELISA assay, which was more convenient and easier to prepare than traditional methods, was a good candidate for evaluation of C. parvum exposure to domestic animal in field.

RNA interference of avian influenza virus H5N1 by inhibiting viral mRNA with siRNA expression plasmids

Avian influenza virus H5N1 causes widespread infection in the birds and human respiratory tract, but existing vaccines and drug therapy are of limited value. Here we show that small interfering RNAs (siRNAs) specific for conserved regions of the viral genome can potently inhibit influenza virus production in cell lines, embryonated chicken eggs and BALB/c mice. siRNA expression plasmid pBabe-Super was chosen in the study, which directed the synthesis of small interfering RNAs in cells. The inhibition depended on the presence of a functional antisense strand in the small interfering RNA duplex, suggesting that viral mRNA is the target of RNA interference (RNAi). Among the three small interfering RNA expression plasmids we designed, we found that small interfering RNA for nucleocapsid protein (NP) had a specific effect in inhibiting the accumulation of RNAs in infected cells because of a critical requirement for newly synthesized nucleocapsid proteins in avian influenza viral RNA transcription and replication. The findings reveal that newly synthesized nucleocapsid, polymerase A (PA) and polymerase B1 (PB1) proteins are required for avian influenza virus transcription and replication and provide a basis for the development of small interfering RNAs as prophylaxis and therapy for avian influenza infection in birds and humans.

Influence of hydroxyethyl starch 130/0.4 in pulmonary neutrophil recruitment and acute lung injury during polymicrobial sepsis in rats

BACKGROUND

Acute lung injury (ALI) is a progressive syndrome associated with significant mortality in sepsis patients. Neutrophils are key cells in the inflammatory response that characterizes ALI. This study was designed to explore the effects of hydroxyethyl starch (HES) 130/0.4 (a novel plasma substitute) on pulmonary neutrophil recruitment and associated ALI in a rat sepsis model induced by cecal ligation and puncture (CLP).

METHODS

Animals were randomly assigned to six groups [saline control; CLP and saline; CLP and HES (7.5, 15 and 30 ml/kg); and HES control], subjected to CLP and infused with or without HES 130/0.4 4 h after CLP. Six hours later, the pulmonary capillary permeability (PCP), myeloperoxidase (MPO) activity, lung histological changes, tumor necrosis factor-alpha, interleukin-1beta and cytokine-induced neutrophil chemoattractant levels, P-selectin mRNA expression and nuclear factor-kappa B (NF-kappaB) activation were measured.

RESULTS

Resuscitation with HES 130/0.4 significantly attenuated the CLP-induced increase in PCP, MPO activity, cytokine/chemokine levels, mRNA expression of P-selectin and NF-kappaB activation, all of which are involved in the recruitment of neutrophils. Groups receiving the higher doses of HES 130/0.4 (15 and 30 ml/kg) were more adequately resuscitated.

CONCLUSION

HES 130/0.4 can inhibit CLP-induced neutrophil recruitment and subsequent ALI by attenuating cytokines/chemokines, adhesion molecule-mediated inflammation and NF-kappaB activation.

Construction of a eukaryotic expression plasmid encoding partial S gene fragments of the SARS-CoV and its potential utility as a DNA vaccine

The spike (S) protein, a main surface antigen of the SARS coronavirus (SARS-CoV), is considered to be one of the most important protective antigen candidates for targets for vaccine design against the virus. In this study, a secreted recombinant expression plasmid, pVAX-S1, encoding the partial S protein with a signal peptide, was constructed and used to immunize BALB/c mice through electroporation. It was demonstrated that the eukaryotic expression vector pVAX-S1 was successfully constructed by restriction enzyme and sequence analysis. The expressed protein could be detected specifically by Western blot analysis. The serum IgG level of the vaccine group mice was significantly higher than that of the corresponding control group at day 14 after vaccination (P < 0.05). The vaccine group demonstrated significantly higher S1 protein lymphocyte proliferation index (LPI) than the control groups (P < 0.05). Furthermore, in the experimental group, a decrease in the ratio of CD4(+) to CD8(+) T-lymphocytes and an increase level of IFN-gamma in serum were observed. However, interleukin-4 (IL-4) was not detectable in two groups. These results strongly demonstrated that the pVAX-S1 plasmid could induce humoral and cellular immune responses in mice, and may be a potential candidate for a DNA vaccine against the SARS coronavirus.

Xenografted fetal dorsal root ganglion, embryonic stem cell and adult neural stem cell survival following implantation into the adult vestibulocochlear nerve

Sensorineural hearing loss is a disabling condition. In the post-embryonic and adult mammalian inner ear, the regeneration of auditory hair cells, spiral ganglion neurons or their axons does not occur naturally. This decrease in excitable neurons limits the success of auditory rehabilitation. Allografts and xenografts have shown promise in the treatment of a variety of neurological diseases. Fetal dorsal root ganglion (DRG) neurons can extend functional connections in the rat spinal cord. Embryonic stem cells (ES cells) and adult neural stem cells (ANSC) have the potential to differentiate into neurons. We have implanted embryonic days (E) 13-16 fetal mouse DRGs from transgenic mouse lines that express Enhanced Green Fluorescent Protein (EGFP) or lacZ reporter genes, EGFP-expressing ES cells or lacZ-expressing ANSC into the injured vestibulocochlear nerve of adult rats and guinea pigs. Survival of the implants was assessed 2 to 4 weeks postoperatively. For further evaluation of the differentiation of the implanted ES-cells, we double labeled with the mouse-specific neuronal antibody Thy 1.2. The rats implanted with EGFP- or lacZ-expressing DRGs showed labeled DRGs after sacrifice. In addition, EGFP-positive nerve fibers were seen growing within the proximal nerve. The results from the EGFP ES cells and lacZ ANSC revealed reporter-expressing cells at the site of injection in the vestibulocochlear nerve of the host rats and guinea pigs but also within the brain stem. Thy 1.2 profiles were seen among the EGFP ES cells within the 8th cranial nerve. The findings of this study indicate that the vestibulocochlear nerve of adult rats and guinea pigs will support xenotransplants of embryonic DRG, ES cells and ANSC. This may have future clinical applicability in recreating a neuronal conduit following neuronal injury between the inner ear and the central nervous system (CNS).