Amine response smartphone-based portable and intelligent polyvinyl alcohol films for real-time detection of shrimp freshness

Food freshness monitoring is an important component in ensuring food safety for consumers and the food industry. Therefore, there is an urgent need for a portable, low-cost, and efficient detection method to determine the freshness. In this study, polyvinyl alcohol (PVA) was used as polymer carrier to prepare electrospinning film containing curcumin (Cur) and gardenia blue (GB) as intelligent indicator label on food packaging for real-time nondestructive detection of freshness of shrimp. The detection limit of ammonia response is less than or equal to 20 ppm, and the detection time is about 1 min, indicating that it has a sensitive response effect. At the same time, a smartphone application that can identify amines in response to color changes has been developed, and consumers can understand freshness by scanning the label. This study demonstrates the huge potential of smart indicator labels for food freshness monitoring.

Preoperative contrast-enhanced CT-based radiomics signature for predicting hypoxia-inducible factor 1α expression in retroperitoneal sarcoma

AIM

To develop and test a contrast-enhanced computed tomography (CECT)-based radiomics signature (RS) to preoperatively predict hypoxia-inducible factor 1α (HIF-1α) expression in retroperitoneal sarcoma (RPS).

MATERIALS AND METHODS

This study included 129 patients with RPS retrospectively who underwent CECT, including 64 male and 65 female patients (55 [2-84] years). Participants were divided into a training set comprising 85 patients and a test set comprising 44 patients. Clinical data and CECT findings of all patients were collected. RS construction was performed by the minimum redundancy maximum relevance method and least absolute shrinkage and selection operator algorithm. The clinical information was analysed by univariate and multivariate logistic regression analysis. The RS and risk factors were included to build a radiomics nomogram. The predictive efficacy of different models was evaluated by accuracy, area under the receiver operating characteristic curve (AUC), and decision curve analysis.

RESULTS

The RS combined signature was constructed on the basis of multi-phase CECT and had an accuracy of 0.795 and an AUC of 0.719 (95% confidence interval [CI], 0.552-0.886) in the test set, which were higher than that of the radiomics nomogram (accuracy: 0.636; AUC: 0.702 [95% CI, 0.547-0.857]) and the clinical model (accuracy: 0.682; AUC: 0.486 [95% CI, 0.324-0.647]). The decision curve analysis showed that the RS combined signature provided better clinical application than the clinical model and radiomics nomogram.

CONCLUSIONS

The multi-phase CECT-based RS constructed can be used as a powerful tool for predicting HIF-1α expression in patients with RPS.

Development and validation of risk prediction models for stroke and mortality among patients with type 2 diabetes in northern China

BACKGROUND

Stroke is one of the leading causes of disability and mortality in patients with type 2 diabetes mellitus (T2DM). Risk models have been developed for predicting stroke and stroke-associated mortality among patients with T2DM. Here, we evaluated risk factors of stroke for individualized prevention measures in patients with T2DM in northern China.

METHODS

In the community-based Tianjin Chronic Disease Cohort study, 58,042 patients were enrolled between January 2014 and December 2019. We used multiple imputation (MI) to impute missing variables and univariate and multivariate Cox's proportional hazard regression to screen risk factors of stroke. Furthermore, we established and validated first-ever prediction models for stroke (Model 1 and Model 2) and death from stroke (Model 3) and evaluated their performance.

RESULTS

In the derivation and validation groups, the area under the curves (AUCs) of Models 1-3 was better at 5 years than at 8 years. The Harrell's C-index for all models was above 0.7. All models had good calibration, discrimination, and clinical net benefit. Sensitivity analysis using the MI dataset indicated that all models had good and stable prediction performance.

CONCLUSION

In this study, we developed and validated first-ever risk prediction models for stroke and death from stroke in patients with T2DM, with good discrimination and calibration observed in all models. Based on lifestyle, demographic characteristics, and laboratory examination, these models could provide multidimensional management and individualized risk assessment. However, the models developed here may only be applicable to Han Chinese.

Self-administration of complex decongestive therapy facilitated by the mobile application WeChat improves lymphedema and quality of life in breast cancer survivors: an observational study

Background

Lymphedema is the most common complication of breast cancer patients. Complex decongestive therapy (CDT) is often recommended but the efficacy varies due to the complexity of management. This study investigated a novel model of CDT based on a mobile application with the aim of improving the management of lymphedema in China.

Methods

We developed a novel model of CDT for breast cancer survivors with lymphedema, including 5 days of CDT therapy with training provided by medical staff in the outpatient clinic and 3 weeks of self-administrated CDT with daily online instructions during phase I, and a life-long maintenance treatment with online instructions once a week for phase II, which delivered by WeChat public accounts. The breast cancer and lymphedema symptom experience index (BCLE-SEI) and the Short-Form Health Survey (SF-36) were used to assess lymphatic symptoms and quality of life. Arm volume and lymphatic symptoms were assessed at baseline, and at 5 days, 1 month, and 3 months post-treatment. The quality of life was assessed at baseline and at 3 months post-treatment.

Results

A total of 88 patients with lymphedema were recruited, of whom, 61 followed the protocols and were further analyzed for this study. The mean relative excess arm volume (EAV) was reduced from a baseline value of 30.72% to 22.05%, 18.46%, and 16.67% at 5 days, 1 month, and 3 months post-therapy, respectively (P=0.000). The BCLE-SEI scores of lymphatic pain, heaviness, and impaired limb mobility were all significantly improved after 3 months of treatment (P<0.05). Moreover, according to the subscale of SF-36, the general health and vitality were significantly improved after 3 months of therapy (56.64 vs. 62.93, P=0.008; and 64.26 vs. 70.08, P=0.024, respectively).

Conclusions

The proposed model of CDT based on the mobile application WeChat achieved promising outcomes. The volume of the affected arm, the lymphedema symptoms, and the quality of life were all significantly improved.

Photoluminescence and magnetism integrated multifunctional black phosphorus probes through controllable PO bond orbital hybridization

Biological probes with integrated photoluminescence and magnetism characteristics play a critical role in modern clinical diagnosis and surgical protocols combining fluorescence optical imaging (FOI) with magnetic resonance imaging (MRI) technology. However, traditional magnetic semiconductors can easily generate a spin splitting at the Fermi level and half-metallic electronic occupation, which will sharply reduce the radiation recombination efficiency of photogenerated carriers. To overcome this intrinsic contradiction, we propose a controllable oxidation strategy to introduce some particular PO bonds into black phosphorus nanosheets, in which the p orbital hybridization between P and O atoms not only provides some carrier recombination centers but also leads to a room-temperature spin polarization. As a result, the coexistence of photoluminescence and magnetism is realized in multifunctional black phosphorus probes with excellent biocompatibility. This work provides a new insight into integrating photoluminescence and magnetism together by intriguing atomic orbital hybridization.

Multi-Scale Permutation Entropy: A Potential Measure for the Impact of Sleep Medication on Brain Dynamics of Patients with Insomnia

Insomnia is a common sleep disorder that is closely associated with the occurrence and deterioration of cardiovascular disease, depression and other diseases. The evaluation of pharmacological treatments for insomnia brings significant clinical implications. In this study, a total of 20 patients with mild insomnia and 75 healthy subjects as controls (HC) were included to explore alterations of electroencephalogram (EEG) complexity associated with insomnia and its pharmacological treatment by using multi-scale permutation entropy (MPE). All participants were recorded for two nights of polysomnography (PSG). The patients with mild insomnia received a placebo on the first night (Placebo) and temazepam on the second night (Temazepam), while the HCs had no sleep-related medication intake for either night. EEG recordings from each night were extracted and analyzed using MPE. The results showed that MPE decreased significantly from pre-lights-off to the period during sleep transition and then to the period after sleep onset, and also during the deepening of sleep stage in the HC group. Furthermore, results from the insomnia subjects showed that MPE values were significantly lower for the Temazepam night compared to MPE values for the Placebo night. Moreover, MPE values for the Temazepam night showed no correlation with age or gender. Our results indicated that EEG complexity, measured by MPE, may be utilized as an alternative approach to measure the impact of sleep medication on brain dynamics.

[Study on the prediction of cardiovascular disease based on sleep heart rate variability analysis]

The peak period of cardiovascular disease (CVD) is around the time of awakening in the morning, which may be related to the surge of sympathetic activity at the end of nocturnal sleep. This paper chose 140 participants as study object, 70 of which had occurred CVD events while the rest hadn't during a two-year follow-up period. A two-layer model was proposed to investigate whether hypnopompic heart rate variability (HRV) was informative to distinguish these two types of participants. In the proposed model, the extreme gradient boosting algorithm (XGBoost) was used to construct a classifier in the first layer. By evaluating the feature importance of the classifier, those features with larger importance were fed into the second layer to construct the final classifier. Three machine learning algorithms, i.e., XGBoost, random forest and support vector machine were employed and compared in the second layer to find out which one can achieve the highest performance. The results showed that, with the analysis of hypnopompic HRV, the XGBoost+XGBoost model achieved the best performance with an accuracy of 84.3%. Compared with conventional time-domain and frequency-domain features, those features derived from nonlinear dynamic analysis were more important to the model. Especially, modified permutation entropy at scale 1 and sample entropy at scale 3 were relatively important. This study might have significance for the prevention and diagnosis of CVD, as well as for the design of CVD-risk assessment system.

Changes in EEG permutation entropy in the evening and in the transition from wake to sleep

Quantifying the complexity of the EEG signal during prolonged wakefulness and during sleep is gaining interest as an additional mean to characterize the mechanisms associated with sleep and wakefulness regulation. Here, we characterized how EEG complexity, as indexed by Multiscale Permutation Entropy (MSPE), changed progressively in the evening prior to light off and during the transition from wakefulness to sleep. We further explored whether MSPE was able to discriminate between wakefulness and sleep around sleep onset and whether MSPE changes were correlated with spectral measures of the EEG related to sleep need during concomitant wakefulness (theta power-Ptheta: 4-8 Hz). To address these questions, we took advantage of large datasets of several hundred of ambulatory EEG recordings of individual of both sexes aged 25-101 years. Results show that MSPE significantly decreases before light off (i.e. before sleep time) and in the transition from wakefulness to sleep onset. Furthermore, MSPE allows for an excellent discrimination between pre-sleep wakefulness and early sleep. Finally, we show that MSPE is correlated with concomitant Ptheta. Yet, the direction of the latter correlation changed from before light-off to the transition to sleep. Given the association between EEG complexity and consciousness, MSPE may track efficiently putative changes in consciousness preceding sleep onset. An MSPE stands as a comprehensive measure that is not limited to a given frequency band and reflects a progressive change brain state associated with sleep and wakefulness regulation. It may be an effective mean to detect when the brain is in a state close to sleep onset.

Deep Learning in Automatic Sleep Staging With a Single Channel Electroencephalography

This study centers on automatic sleep staging with a single channel electroencephalography (EEG), with some significant findings for sleep staging. In this study, we proposed a deep learning-based network by integrating attention mechanism and bidirectional long short-term memory neural network (AT-BiLSTM) to classify wakefulness, rapid eye movement (REM) sleep and non-REM (NREM) sleep stages N1, N2 and N3. The AT-BiLSTM network outperformed five other networks and achieved an accuracy of 83.78%, a Cohen's kappa coefficient of 0.766 and a macro F1-score of 82.14% on the PhysioNet Sleep-EDF Expanded dataset, and an accuracy of 81.72%, a Cohen's kappa coefficient of 0.751 and a macro F1-score of 80.74% on the DREAMS Subjects dataset. The proposed AT-BiLSTM network even achieved a higher accuracy than the existing methods based on traditional feature extraction. Moreover, better performance was obtained by the AT-BiLSTM network with the frontal EEG derivations than with EEG channels located at the central, occipital or parietal lobe. As EEG signal can be easily acquired using dry electrodes on the forehead, our findings might provide a promising solution for automatic sleep scoring without feature extraction and may prove very useful for the screening of sleep disorders.

Tai Chi training's effect on lower extremity muscle co-contraction during single- and dual-task gait: Cross-sectional and randomized trial studies

BACKGROUND

Tai Chi (TC) mind-body exercise has been shown to reduce falls and improve balance and gait, however, few studies have evaluated the role of lower extremity muscle activation patterns in the observed benefits of TC on mobility.

PURPOSE

To perform an exploratory analysis of the association between TC training and levels of lower extremity muscle co-contraction in healthy adults during walking under single-task (ST) and cognitive dual-task (DT) conditions.

METHODS

Surface electromyography of the anterior tibialis and lateral gastrocnemius muscles was recorded during 90 sec trials of overground ST (walking normally) and DT (walking with verbalized serial subtractions) walking. A mean co-contraction index (CCI), across all strides, was calculated based on the percentage of total muscle activity when antagonist muscles were simultaneously activated. A hybrid study design investigated long-term effects of TC via a cross-sectional comparison of 27 TC experts and 60 age-matched TC-naïve older adults. A longitudinal comparison assessed the shorter-term effects of TC; TC-naïve participants were randomly allocated to either 6 months of TC training or to usual care.

RESULTS

Across all participants at baseline, greater CCI was correlated with slower gait speed under DT (β(95% CI) = -26.1(-48.6, -3.7)) but not ST (β(95% CI) = -15.4(-38.2, 7.4)) walking. Linear models adjusting for age, gender, BMI and other factors that differed at baseline indicated that TC experts exhibited lower CCI compared to TC naives under DT, but not ST conditions (ST: mean difference (95% CI) = -7.1(-15.2, 0.97); DT: mean difference (95% CI) = -10.1(-18.1, -2.4)). No differences were observed in CCI for TC-naive adults randomly assigned to 6 months of TC vs. usual care.

CONCLUSION

Lower extremity muscle co-contraction may play a role in the observed benefit of longer-term TC training on gait and postural control. Longer-duration and adequately powered randomized trials are needed to evaluate the effect of TC on neuromuscular coordination and its impact on postural control.

TRIAL REGISTRATION

The randomized trial component of this study was registered at ClinicalTrials.gov (NCT01340365).

Investigation on the Alteration of Brain Functional Network and Its Role in the Identification of Mild Cognitive Impairment

Mild cognitive impairment (MCI) is generally regarded as a prodromal stage of Alzheimer’s disease (AD). In coping with the challenges caused by AD, we analyzed resting-state functional magnetic resonance imaging data of 82 MCI subjects and 93 normal controls (NCs). The alteration of brain functional network in MCI was investigated on three scales, including global metrics, nodal characteristics, and modular properties. The results supported the existence of small worldness, hubs, and community structure in the brain functional networks of both groups. Compared with NCs, the network altered in MCI over all the three scales. In scale I, we found significantly decreased characteristic path length and increased global efficiency in MCI. Moreover, altered global network metrics were associated with cognitive level evaluated by neuropsychological assessments. In scale II, the nodal betweenness centrality of some global hubs, such as the right Crus II of cerebellar hemisphere (CERCRU2.R) and fusiform gyrus (FFG.R), changed significantly and associated with the severity and cognitive impairment in MCI. In scale III, although anatomically adjacent regions tended to be clustered into the same module regardless of group, discrepancies existed in the composition of modules in both groups, with a prominent separation of the cerebellum and a less localized organization of community structure in MCI compared with NC. Taking advantages of random forest approach, we achieved an accuracy of 91.4% to discriminate MCI patients from NCs by integrating cognitive assessments and network analysis. The importance of the used features fed into the classifier further validated the nodal characteristics of CERCRU2.R and FFG.R could be potential biomarkers in the identification of MCI. In conclusion, the present study demonstrated that the brain functional connectome data altered at the stage of MCI and could assist the automatic diagnosis of MCI patients.

Abnormal topology of brain functional networks in unipolar depression and bipolar disorder using optimal graph thresholding

Two popular debilitating illness, unipolar depression (UD) and bipolar disorder (BD), have the similar symptoms and tight association on the psychopathological level, leading to a clinical challenge to distinguish them. In order to figure out the underlying common and different mechanism of both mood disorders, resting-state functional magnetic resonance imaging (rs-fMRI) data derived from 36 UD patients, 42 BD patients (specially type I, BD-I) and 45 healthy controls (HC) were analyzed retrospectively in this study. Functional brain networks were firstly constructed on both group and individual levels with a density 0.2, which was determined by a network thresholding approach based on modular similarity. Then we investigated the alterations of modular structure and other topological properties of the functional brain network, including global network characteristics and nodal network measures. The results demonstrated that the functional brain networks of UD and BD-I groups preserved the modularity and small-worldness property. However, compared with HC, reduced number of modules was observed in both patients' groups with shared alterations occurring in hippocampus, para hippocampal gyrus, amygdala and superior parietal gyrus and distinct changes of modular composition mainly in the caudate regions of basal ganglia. Additionally, for the network characteristics, compared to HC, significantly decreased global efficiency and small-worldness were observed in BD-I. For the nodal metrics, significant decrease of local efficiency was found in several regions in both UD and BD-I, while a UD-specified increase of participant coefficient was found in the right paracentral lobule and the right thalamus. These findings may contribute to throw light on the neuropathological mechanisms underlying the two disorders and further help to explore objective biomarkers for the correct diagnosis of UD and BD.

Sleep heart rate variability assists the automatic prediction of long-term cardiovascular outcomes

OBJECTIVE

We aimed to investigate the association between sleep HRV and long-term cardiovascular disease (CVD) outcomes, and further explore whether HRV features can assist the automatic CVD prediction.

METHODS

We retrospectively analyzed polysomnography (PSG) data obtained from 2111 participants in the Sleep Heart Health Study, who were followed up for a median of 11.8 years after PSG acquisition. During follow-up, 1252 participants suffered CVD events (CVD group) and 859 participants remained CVD-free (non-CVD group). HRV measures, derived from time-domain and frequency-domain, were calculated. Regression models were created to determine the independent predictor for long-term CVD outcomes, and to explore the association between HRV and CVD latency. Furthermore, based on HRV and other clinical features, a model was trained to automatically predict CVD outcomes using the eXtreme Gradient Boosting algorithm.

RESULTS

Compared with the non-CVD group, decreased HRV during sleep was found in the CVD group. HRV, particularly its component of high frequency (HF), was demonstrated to be independent predictor of CVD outcomes. Moreover, normalized HF was positively correlated with CVD latency. The proposed prediction model achieved a total accuracy of 75.3%, in which sleep HRV features served as a supplement to the well-recognized CVD risk factors, such as aging, adiposity and sleep disorders.

CONCLUSIONS

Association between sleep HRV and long-term CVD outcomes was demonstrated here, suggesting that altered HRV during sleep might occur many years prior to the onset of CVD. Machine learning models, combining sleep HRV and other clinical characteristics, should be promising in the early prediction of CVD outcomes.

[Consistency of ALK Ventana-D5F3 immunohistochemistry interpretation in lung adenocarcinoma among Chinese histopathologists]

Objective: To understand the consistency of ALK Ventana-D5F3 immunohistochemistry (IHC) interpretation in Chinese lung adenocarcinoma among histopathologists from different hospitals, and to recommend solution for the problems found during the interpretation of ALK IHC in real world, with the aim of the precise selection of patients who can benefit from ALK targeted therapy. Methods: This was a multicenter and retrospective study. A total of 109 lung adenocarcinoma cases with ALK Ventana-D5F3 IHC staining were collected from 31 lung cancer centers in RATICAL research group from January to June in 2018. All cases were scanned into digital imaging with Ventana iSCANcoreo Digital Slide Scanning System and scored by 31 histopathologists from different centers according to ALK binary (positive or negative) interpretation based on its manufacturer's protocol. The cases with high inconsistency rate were further analyzed using FISH/RT-PCR/NGS. Results: There were 49 ALK positive cases and 60 ALK negative cases, confirmed by re-evaluation by the specialist panel. Two cases (No. 2302 and No.2701) scored as positive by local hospitals were rescored as negative, and were confirmed to be negative by RT-PCR/FISH/NGS. The false interpretation rate of these two cases was 58.1% (18/31) and 48.4% (15/31), respectively. Six out of 31 (19.4%) pathologists got 100% accuracy. The minimum consistency between every two pathologists was 75.8%.At least one pathologist gave negative judgement (false negative) or positive judgement (false positive) in the 49 positive or 60 negative cases, accounted for 26.5% (13/49), 41.7% (25/60), respectively, with at least one uncertainty interpretation accounted for 31.2% (34/109). Conclusion: There are certain heterogeneities and misclassifications in the real world interpretation of ALK-D5F3 IHC test, which need to be guided by the oncoming expert consensus based on the real world data.

Study of SU-8 photoresist cross-linking process by atomic force acoustic microscopy

In this paper, a method is presented to detect the different phases of epoxy cross-linking process and the subsurface structures of SU-8 thin films by atomic force acoustic microscopy (AFAM). The AFAM imaging of SU-8 thin films was investigated under different exposure and bake conditions. Optimized conditions were obtained for the cross-linking of SU-8 thin film at the exposure does of eight laser pulses with the laser fluence 10 mJ cm^-2 per pulse and the post exposure bake (PEB) time at 90 s. The subsurface structures of undeveloped SU-8 thin films were visible in the AFAM images. This method provides an effective and low-cost way for the determination of different phases of epoxy cross-linking process in nanostructured compounds, for the non-destructive testing of subsurface defects, and for the evaluation of the quality of patterned structures.

Heart Rate Dynamics in Patients with Obstructive Sleep Apnea: Heart Rate Variability and Entropy

Background: Obstructive sleep apnea (OSA), a highly prevalent sleep disorder, is closely related to cardiovascular disease (CVD). Our previous work demonstrated that Shannon entropy of the degree distribution (E_DD), obtained from the network domain of heart rate variability (HRV), might be a potential indicator for CVD. Method: To investigate the potential association between OSA and E_DD, OSA patients and healthy controls (HCs) were identified from a sleep study database. Then E_DD was calculated from electrocardiogram (ECG) signals during sleep, followed by cross-sectional comparisons between OSA patients and HCs, and longitudinal comparisons from baseline to follow-up visits. Furthermore, for OSA patients, the association between E_DD and OSA severity, measured by apnea-hypopnea index (AHI), was also analyzed. Results: Compared with HCs, OSA patients had significantly increased E_DD during sleep. A positive correlation between E_DD and the severity of OSA was also observed. Although the value of E_DD became larger with aging, it was not OSA-specified. Conclusion: Increased E_DD derived from ECG signals during sleep might be a potential dynamic biomarker to identify OSA patients from HCs, which may be used in screening OSA with high risk before polysomnography is considered.

Quantifying interdependence using the missing joint ordinal patterns

In this paper, we develop the concept of forbidden/missing ordinal patterns into the forbidden/missing joint ordinal patterns and propose the ratio of the number of missing joint ordinal patterns (RMJPs) as a sign of interdependence. RMJP in a surrogate analysis can be used to differentiate the forbidden joint ordinal patterns from the missing joint ordinal patterns due to small sample effects. We first apply RMJP to the simulated time series: a two-component autoregressive fractionally integrated moving average process, the Hénon map, and the Rössler system using active control and discuss the effect of the length of the time series, embedding dimension, and noise contamination. RMJP has been proven to be capable of measuring the interdependence in the numerical simulation. Then, RMJP is further used on the electroencephalogram (EEG) time series for empirical analysis to explore the interdependence of brain waves. With results by RMJP obtained from a widely used open dataset of the sleep EEG time series from healthy subjects, we find that RMJP can be used to quantify the brain wave interdependence under different sleep/wake stages, reveal the overall sleep architecture, and indicate a higher level of interdependence as sleep gets deeper. The findings are consistent with existing knowledge in sleep medicine. The proposed RMJP method has shown its validity and applicability and may assist automatic sleep quantification or bring insight into the understanding of the brain activity during sleep. Furthermore, RMJP can be used on sleep EEG under various pathological conditions and in large-scale sleep studies, helping to investigate the mechanisms of the sleep process and neuron synchronization.

Visibility graph analysis of temporal irreversibility in sleep electroencephalograms

The study of sleep has continued to garner increased attention. However, most studies assume stationarity of sleep electroencephalogram (EEG) signals, whereas they are typically nonlinear and nonstationary. Little work has focused on the time irreversibility of sleep EEG signals. Hence, the aim of this work is to reveal the temporally irreversible structures of rapid-eye-movement (REM) and non-REM sleep using a visibility algorithm, which is robust to nonstationarity and finite-size effect. Results show that the temporal structure of non-REM sleep is more irreversible than that of REM sleep. The degree of irreversibility is highest in slow-wave sleep. Moreover, statistical analysis suggests that aging is the major factor that affects the irreversibility of sleep signals, while gender and body mass index contribute insignificantly. The dominant role of slow oscillations on the irreversible structures of the sleep signals is also indicated.

Age-Related Alterations in Electroencephalography Connectivity and Network Topology During n-Back Working Memory Task

The study of the healthy brain in elders, especially age-associated alterations in cognition, is important to understand the deficits created by Alzheimer's disease (AD), which imposes a tremendous burden on individuals, families, and society. Although, the changes in synaptic connectivity and reorganization of brain networks that accompany aging are gradually becoming understood, little is known about how normal aging affects brain inter-regional synchronization and functional networks when items are held in working memory (WM). According to the classic Sternberg WM paradigm, we recorded multichannel electroencephalography (EEG) from healthy adults (young and senior) in three different conditions, i.e., the resting state, 0-back (control) task, and 2-back task. The phase lag index (PLI) between EEG channels was computed and then weighted and undirected network was constructed based on the PLI matrix. The effects of aging on network topology were examined using a brain connectivity toolbox. The results showed that age-related alteration was more prominent when the 2-back task was engaged, especially in the theta band. For the younger adults, the WM task evoked a significant increase in the clustering coefficient of the beta-band functional connectivity network, which was absent in the older adults. Furthermore, significant correlations were observed between the behavioral performance of WM and EEG metrics in the theta and gamma bands, suggesting the potential use of those measures as biomarkers for the evaluation of cognitive training, for instance. Taken together, our findings shed further light on the underlying mechanism of WM in physiological aging and suggest that different EEG frequencies appear to have distinct functional correlates in cognitive aging. Analysis of inter-regional synchronization and topological characteristics based on graph theory is thus an appropriate way to explore natural age-related changes in the human brain.

Complexity of Wake Electroencephalography Correlates With Slow Wave Activity After Sleep Onset

Sleep electroencephalography (EEG) provides an opportunity to study sleep scientifically, whose chaotic, dynamic, complex, and dissipative nature implies that non-linear approaches could uncover some mechanism of sleep. Based on well-established complexity theories, one hypothesis in sleep medicine is that lower complexity of brain waves at pre-sleep state can facilitate sleep initiation and further improve sleep quality. However, this has never been studied with solid data. In this study, EEG collected from healthy subjects was used to investigate the association between pre-sleep EEG complexity and sleep quality. Multiscale entropy analysis (MSE) was applied to pre-sleep EEG signals recorded immediately after light-off (while subjects were awake) for measuring the complexities of brain dynamics by a proposed index, CI₁₋₃₀. Slow wave activity (SWA) in sleep, which is commonly used as an indicator of sleep depth or sleep intensity, was quantified based on two methods, traditional Fast Fourier transform (FFT) and ensemble empirical mode decomposition (EEMD). The associations between wake EEG complexity, sleep latency, and SWA in sleep were evaluated. Our results demonstrated that lower complexity before sleep onset is associated with decreased sleep latency, indicating a potential facilitating role of reduced pre-sleep complexity in the wake-sleep transition. In addition, the proposed EEMD-based method revealed an association between wake complexity and quantified SWA in the beginning of sleep (90 min after sleep onset). Complexity metric could thus be considered as a potential indicator for sleep interventions, and further studies are encouraged to examine the application of EEG complexity before sleep onset in populations with difficulty in sleep initiation. Further studies may also examine the mechanisms of the causal relationships between pre-sleep brain complexity and SWA, or conduct comparisons between normal and pathological conditions.

Contrast-enhanced CT findings of intravenous leiomyomatosis

AIM

To characterise the contrast-enhanced computed tomography (CT) imaging findings of nine patients with intravenous leiomyomatosis (IVL).

MATERIALS AND METHODS

The contrast-enhanced CT imaging findings of nine patients with histopathologically proven IVL were examined. The location, morphology, extension pathway, adhesion, and degree and pattern of enhancement of the tumour were assessed.

RESULTS

Four patients had tumours located within the inferior vena cava, and five had tumours that involved the right heart. Seven patients with residual uterus myoma showed enhanced heterogeneous contrast of the uterus. Eight tumours extended into the inferior vena cava through the iliac veins and one through the bilateral iliac veins. All the IVLs demonstrated heterogeneous enhancement on contrast-enhanced CT and appeared to have lower density than the contrast-enhanced venous blood. On the coronal and sagittal images, tumours were continuous and, when the right heart was involved, the lesions displayed a characteristic "walking stick head" or "snake head" appearance. The lesion looked similar to a "sieve" on axial contrast-enhanced CT images, and a "luffa sponge" on post-processing coronal or sagittal images.

CONCLUSION

Contrast-enhanced CT imaging has unique advantages in the diagnosis of IVL, namely, luffa sponge and sieve appearance, which can be helpful for differential diagnosis. Contrast-enhanced CT can demonstrate tumour location and full-scale extension pathway, which are important for diagnosis, surgical planning, and follow-up of the tumour.

[The analysis of event-related potentials in normal brain aging based on N-back cognitive tasks]

The purpose of this study is to investigate the change of the whole brain event-related potentials(P300) in normal brain aging based on N-back cognitive tasks. The P300 of 15 normal young people and 10 normal old people were evaluated based on N-back cognitive tasks and analyzed. The results showed that the P300 latency of old people was longer in whole brain than young people, and amplitude was increased in the frontal-central region, while significantly increased in the pre-frontal region in the same load cognitive tasks. With the cognitive task load increasing, the amplitude of old people in high-load task was higher in the whole brain than that in low-load task, mainly in in the frontal region, but the difference was not statistically significant. The latency in the high-load task was shorter in the frontal-central region of right brain than the low-load task, and the difference was statistically significant. Thus, P300 showed that the normal brain aging process is mainly reflected in the pre-frontal region, and the high-load cognitive task could better reflect the change of brain function compared with the low-load cognitive task. The finding is of revelatory meaning for diagnosis of early dementia in patients.

Describing the quality of life of boys with haemophilia in China: Results of a multicentre study using the CHO-KLAT

INTRODUCTION

The treatment of haemophilia varies across countries and across regions within some countries. Similar variation has been observed in health-related quality of life (HR-QoL). Relatively little is known about the HR-QoL of boys with haemophilia in China.

AIM

The aim of this study was to describe the HR-QoL of boys with haemophilia in China using the Canadian Haemophilia Outcomes-Kids Life Assessment Tool (CHO-KLAT).

METHODS

Boys (4-18 years of age) with haemophilia and their parents were enroled in a cross-sectional study. All parents/guardians of study subjects were requested to complete a CHO-KLAT questionnaire during a clinic visit, and report on several other clinical and socioeconomic factors in the past year. Boys who were > 7 years also completed the CHO-KLAT.

RESULTS

A total of 269 parents of boys with haemophilia, from 13 hospitals in 12 provinces, were enroled during 2014. The boys ranged from 4.0 to 17.9 years of age; 91% had haemophilia A, most had moderate (52%) or severe (36%) disease, and most were receiving sub-optimal on-demand therapy or low-dose prophylactic therapy. Child self-report CHO-KLAT scores were available for 171 boys ≥7 years of age and ranged from 24.2 to 85.3 with a mean of 57.6 (n = 171). Parent proxy-reported CHO-KLAT scores ranged from 25.0 to 88.7 with a mean of 55.1 (n = 269).

CONCLUSION

HR-QoL scores in boys with haemophilia in China were substantially lower than reported from Canadian and European boys with haemophilia. Longer term prospective studies are required to examine the factors impacting the HR-QoL for boys with haemophilia in China.

[Epilepsy Electroencephalogram Signal Analysis Based on Improved k-nearest Neighbor Network]

The study of complex networks has become a hot research area of electroencephalogram signal.Electroencephalogram time series generated by the network keeps node information of network,so studying the time series from the network can also achieve the purpose of study epileptic electroencephalogram.In this paper,we propose a method to analyze epileptic electroencephalogram based on time series which is based on improved k-nearest neighbor network.The results of the experiment showed that studying power spectrum of time series from network was easier than power spectrum of time series directly generated from the original brain data to distinguish between normal controls and epileptic patients.In addition,studying the clustering coefficient of improved k-nearest neighbor network was able to distinguish between normal persons and patients with epilepsy.This study can provide important reference for the study of epilepsy and clinical diagnosis.

[Application of disparity discriminating accuracy test in evaluating the stereopsis of postoperative intermittent exotropia]

OBJECTIVE

To discuss the application of disparity discriminating accuracy test in evaluating the stereopsis of postoperative intermittent exotropia.

METHODS

Patients with intermittent exotropia who underwent surgery during July 2011 to June 2013 were followed up. The stereoacuity was examined by Titmus Stereotest, Randot Stereotest and Frisby Stereotest. Twenty adult cases whose stereoacuity reached normal were chosen as experimental group. Twenty healthy adults were selected as normal control group. Both groups were examined with disparity discriminating accuracy test. Discriminating accuracy of the two groups were analyzed with Two-Way ANOVA method. Test-retest reliability was analyzed with Intraclass Correlation Coefficient analysis.

RESULTS

The test-retest reliability of disparity discriminating accuracy test is excellent (ICC=0.99, P<0.01) . Discriminating accuracy under different disparities in experimental group were 0.56±0.09, 0.67±0.14, 0.77±0.15, 0.82±0.14, 0.85±0.11, 0.85±0.14, 0.87±0.10, 0.84±0.16, while those in control group were 0.77±0.09, 0.88±0.09, 0.93±0.08, 0.91±0.09, 0.95±0.08, 0.96±0.05, 0.97±0.06, 0.96±0.04. There were statistically significant differences between them (F=38.06, P<0.01) . The discriminating ability of group grating in both groups was affected by the size of disparity. Under situation of small disparity, a large difference was found between the experimental group (0.67±0.12)and control group(0.86±0.07) (F=4.84, P<0.05).

CONCLUSIONS

Stereoscopic function can be evaluated comprehensively with disparity discriminating accuracy test. Use this test, a certain degree of dysfunction in stereopsis can still be found in postoperative intermittent exotropic patients who reached normal stereoacuity examined with traditional stereotests. (Chin J Ophthalmol, 2016, 52: 584-588).

MRI findings in intraspinal mature teratoma

AIM

To characterise and evaluate magnetic resonance imaging (MRI) images for their clinical value in diagnosing and assessing intraspinal mature teratoma.

MATERIALS AND METHODS

MRI images obtained from eight patients with a histopathologically verified intraspinal mature teratoma were analysed retrospectively regarding tumour location, size, and margins. Additionally, the signal intensity and enhancement pattern on MRI and other associated malformations were also assessed.

RESULTS

Three cases that contained fatty tissue showed markedly heterogeneous hyperintense signalling on T1-weighted images, and mixed hyperintense and hypointense signalling on T2-weighted images and fat-suppression sequences. All three of those cases showed an irregular peripheral fatty tissue signal, and one case showed additional patches of an interspersed calcification signal. The remaining five cases without fatty tissue displayed heterogeneous hyperintense signalling on T1-weighted images and T2-weighted images, and also on fat-suppression sequences. Four of the five cases showed additional patches of interspersed nodular calcification signals. Contrast-enhanced MRI images showed only slight enhancement (n=3).

CONCLUSIONS

MRI is regarded as the reference standard diagnostic technique to reveal the location of teratomas and the degree of spinal cord involvement. In most cases, MRI provides accurate anatomical and histological information, which is necessary for patients with suspected intraspinal mature teratoma.

Investigation into Feasibility of Congestive Heart Failure Diagnosis Based on Analysis of Very Short-term Heart Rate Variability

The analysis parameters for the characterization of heart rate variability(HRV)within a very short time(< 1min)usually exhibit complicate variation patterns over time,which may easily interfere the judgment to the status of the cardiovascular system.In this study,long-term HRV sequence of 41 cases of healthy people(control group)and 25 cases of congestive heart failure(CHF)patients(experimental group)was divided into multiple segments of very short time series.The variation coefficient of the same HRV parameter under multiple segments of very short time series and the testing proportion with statistically significant differences under multiple interclass t-test were calculated.On this account,part of HRV analysis parameters under very short time were discussed to reveal the stability of difference of the cardiovascular system function under different status.Furthermore,with analyzing the receiver operating characteristic(ROC)curve and modeling the artificial neural network(ANN),the classification effects of these parameters between the control group and the experimental group were assessed.The results demonstrated that1 the indices of entropy of degree distribution based on the complex network analysis had a lowest variation coefficient and was sensitive to the pathological status(in 79.75% cases,there has statistically significant differences between the control group and experimental group),which can be served as an auxiliary index for clinical doctor to diagnose for CHF patient;2after conducting ellipse fitting to Poincare plot,in 98.5% cases,there had statistically significant differences for the ratio of ellipse short-long axis(SDratio)between the control group and the experimental group;when modeling the ANN and solely adopting SDratio,the classification accuracy to the control group and experimental group was 71.87%,which demonstrated that SDratio might be acted as the intelligent diagnosis index for CHF patients;3 however,more sensitive and robust indices were still needed to find out for the very-short HRV analysis and for the diagnosis of CHF patients as well.

KRAS status and resistance to epidermal growth factor receptor tyrosine-kinase inhibitor treatment in patients with metastatic colorectal cancer: a meta-analysis

AIM

This study reviewed the association between KRAS mutation and resistance to treatment with epidermal growth factor receptor (EGFR) tyrosine-kinase inhibitors (TKIs) in patients with metastatic colorectal cancer (mCRC).

METHOD

A search was carried out of PubMed, MEDLINE, EMBASE and the Cochrane Library databases (to November 2013) without language restrictions.

RESULTS

Ten studies were included in the final meta-analysis, consisting of 1339 patients with mCRC, of whom 427 (32%) had a KRAS mutation. The objective response rate (ORR) of mCRC patients with KRAS mutation was 8% (33/427), whereas the ORR of mCRC patients with wild-type KRAS was 34% (306/912). The overall pooled response rate (RR) for the ORR was 1.297 (95% CI 1.244-1.353, P < 0.01). Subgroup analysis comparing cetuximab monotherapy treatment with cetuximab plus chemotherapy, showed a pooled RR of 1.26 (95% CI 1.12-0.63, P < 0.01) and 1.30 (95% CI 1.25-1.36, P < 0.01), respectively. For patients receiving anti-EGFR with monoclonal antibodies (mAb) given as first-line treatment or not, the pooled RRs were 1.34 (95% CI 1.23-1.46, P < 0.01) and 1.29 (95% CI 1.23-1.35, P < 0.01). The data on progression-free survival from five studies in the meta-analysis gave a hazard ratio (HR) of 1.99 with a 95% CI of 1.69-2.29. Finally, the data for overall survival in mCRC patients were pooled from the only three studies reporting the HR (1.80; 95% CI 1.50-2.10). None of the results had any evidence of heterogeneity.

CONCLUSION

All the results favoured a stronger link between mutant KRAS and anti-EGFR mAb, but due to a mutually exclusive relationship between KRAS and other gene mutations the clinical usefulness of KRAS mutation as a selection marker for sensitivity to EGFR TKIs in mCRC is limited.

Combination of equiprobable symbolization and time reversal asymmetry for heartbeat interval series analysis

Symbolic dynamics method and time reversal asymmetry analysis are both important approaches in the study of heartbeat interval series. However, there is limited research work reported on combining these two methods. We provide a method of time reversal asymmetry analysis which focuses on the differences between the forward and backward embedding "m words" after the operation of equiprobable symbolization. To investigate the total amplitude as well as the distribution features of the difference, four indices are proposed. Based on the application to simulation series, we found that these measures can successfully detect time reversal asymmetry in chaos series. With application to human heartbeat interval series (RR series), it is suggested that the distribution features of the forward-backward difference can sensitively capture the dynamical changes caused by diseases or aging. In particular, the index E(D), which reflects the random degree of the forward-backward difference distribution, can significantly discriminate healthy subjects from diseased ones. We conclude that RR series from healthy subjects show more asymmetry in temporal structure on the original time scale from the perspective of equiprobable symbolization, whereas diseases account for loss of this asymmetry.

Seasonal changes in antifreeze protein gene transcription and water content of beetle Microdera punctipennis (Coleoptera, Tenebrionidae) from Gurbantonggut desert in Central Asia

Desert beetle Microdera punctipennis (Coleoptera: Tenebriondae) is a special species in Gurbantonggut Desert in Central Asia. To investigate the possible strategy it employs for cold survival, seasonal changes in supercooling point (SCP), body water content, haemolymph osmolality and antifreeze protein gene (Mpafp) expression were measured over 13 months. Our results show SCPs in M. punctipennis adults changed from -8.0°C in summer to -18.7°C in winter. During winter, adults endured modest water loss; total water decreased from 65.4 percent in summer to 55.9% in winter. Mpafp mRNAs level increased by 13.1 fold from summer to early winter, and haemolymph osmolality increased accordingly from 550 mOsm to 1486 mOsm. Correlation coefficient of Mpafp mRNAs level and SCP indicates that Mpafp mRNA explained 65.3 percent of the variation in SCPs. The correlation between Mpafp mRNA level and total water reflected an indirect influence of antifreeze protein on water content via reducing SCP.

Application of monitored natural attenuation to remediate a petroleum-hydrocarbon spill site

Contamination of groundwater by petroleum-hydrocarbons is a serious environmental problem. The Monitored Natural Attenuation (MNA) approach is a passive remediation to degrade and dissipate groundwater contaminants in situ. In this study, a full-scale natural bioremediation investigation was conducted at a gasoline spill site. Results show that concentrations of major contaminants (benzene, toluene, ethylbenzene, and xylenes) dropped to below detection limit before they reached the downgradient monitor well located 280 m from the spill location. The results also reveal that natural biodegradation was the major cause of the observed contaminant reduction. The calculated natural first-order attenuation rates for BTEX and 1,2,4-trimethylbenzene (1,2,4-TMB) ranged from 0.051 (benzene) to 0.189 1/day (1,2,4-TMB). Evidence for the occurrence of natural attenuation includes the following: (1) depletion of dissolved oxygen, nitrate, and sulfate; (2) production of dissolved ferrous iron, sulfide, and CO2; (3) decreased BTEX concentrations and BTEX as carbon to TOC ratio along the transport path; (4) increased alkalinity and microbial populations; (5) limited spreading of the BTEX plume; and (6) preferential removal of certain BTEX components along the transport path. Additionally, the biodegradation capacity (44.73 mg/L) for BTEX and 1,2,4-TMB was much higher than other detected contaminants within the plume. Hence, natural attenuation can effectively contain the plume, and biodegradation processes played an important role in contaminant removal.

A member of the Y-box protein family interacts with an upstream element in the alpha1(I) collagen gene

Transforming growth factor beta (TGF-beta) stimulates protein complex formation on a TGF-beta response element (TAE) found in the distal portion (-1624) of the collagen alpha 1(I) promoter. To identify the fibroblast proteins in this complex, an expression library constructed from human embryonic lung fibroblasts mRNA was screened using a tetramer of TAE. Y-box binding protein (YB-1), was identified as a protein in the TAE-protein complex. The protein expressed by phage clones formed a specific complex with labeled TAE but not mutated TAE (mTAE) similar to the complex formed with nuclear protein. Nuclear protein-TAE complexes isolated from native gels contained YB-1 by Western analysis. TGF-beta treatment increased the amount of YB-1 protein in nuclear extracts, decreased its amount in cytoplasm, but did not alter the steady state levels of YB-1 mRNA. A full-length YB-1 protein expressed in human lung fibroblasts was primarily located in the nucleus with punctate staining in cytoplasmic regions. The expression of YB-1 decreased in the cytoplasm after 2 h of TGF-beta treatment. Therefore, the increased binding activity seen in TGF-beta-stimulated nuclear extracts was due primarily to relocalization of YB-1 from the cytoplasm to the nuclear compartment. Co-transfection of YB-1 cDNA with a collagen promoter-reporter construct caused a dose-dependent activation of collagen promoter activity in rat fibroblasts whereas the promoter with a mutation in the TAE element was not sensitive to YB-1 co-expression. In conclusion, we have identified YB-1 as a protein that interacts with a TGF-beta response element in the distal region of the collagen alpha 1(I) gene. YB-1 protein activates the collagen promoter and translocates into the nucleus during TGF-beta addition to fibroblasts, suggesting a role for this protein in TGF-beta signaling.

Language acquisition, unemployment and depressive disorder among Southeast Asian refugees: a 10-year study

The current study examines the risk-inducing effects of unemployment and the protective effects of language facility on the mental health of Southeast Asian refugees resettling in Canada. Rates of depression and of unemployment declined dramatically during the first decade after arrival. Although language fluency also improved during this period, approximately 8% of the sample spoke no English even after 10 years in the country. Initial depression was a strong predictor of subsequent depression. For males, job experience in Canada was the strongest predictor of subsequent employment whereas, for women, depression proved an important predictor of employability. For men in particular, unemployment was a potent risk factor for depression. During the initial period of resettlement, English-speaking ability had no effect on depression or on employment. However, by the end of the first decade in Canada. English language fluency was a significant predictor of depression and employment, particularly among refugee women and among people who did not become engaged in the labor market during the earliest years of resettlement. Study results demonstrate that the mental health salience of risk and protective factors changes according to the phase of resettlement.

[A randomized, controlled clinical trial of meropenem and imipenem/cilastatin in the treatment of acute bacterial infections]

OBJECTIVE

Meropenem is a new carbapenem antibiotic developed by Sumitomo Pharmaceuticals and shown to resist degradation by renal dehydropeptidase I (DPH-I), an enzyme which exists chiefly in the kidneys and decomposes carbapenem antibiotics. It has a powerful antibacterial activity with broad antibacterial spectrum. The objective of the study is to evaluate the efficacy and safety of meropenem.

METHODS

A randomized, open-label, controlled study was conducted for treating patients with bacterial infections. A total of 112 hospitalized patients were enrolled in the study. 55 patients received meropenem 500 mg every 12 hours (or 1g every 12 hours if necessary) and 57 patients received imipenem/cilastatin 500 mg/500 mg every 12 hours (or 1g/1g every 12 hours if necessary) intravenously. The duration of treatment was 7-14 days in both groups.

RESULTS

42 of the 55 cases receiving meropenem and 41 of the 57 cases receiving imipenem/cilastatin were assessable for clinical efficacy. The overall efficacy rate was 88.1%(37/42) for the meropenem group and 85.4%(35/41) for the imipenem/cilastatin group, whereas the bacterial eradication rate was 81.1%(30/37) and 84.2%(32/38), respectively. 47(69.1%) of 68 strains isolated from patients produced beta-lactamase. Adverse drug reaction was evaluated in 44 cases of the meropenem group and 41 cases of the imipenem/cilastatin group. The adverse drug reaction rate was 13.6%(6/44) and 12.2%(5/41), respectively. The results showed that there were no statistical differences between these two groups (P > 0.05).

CONCLUSION

Meropenem and imipenem/cilastatin were effective and safe for the treatment of lower respiratory tract infections and urinary tract infections and other infections caused by beta-lactamase-producing strains.

Non-specific deadenylation and deguanylation of naked RNA catalyzed by ricin under acidic condition

Ricin A-chain catalyzes the hydrolysis of the N-glycosidic bond of a conserved adenosine residue at position 4324 in the sarcin/ricin domain of 28S RNA of rat ribosome. The GAGA tetraloop closed by C-G pairs is required for recognition of the cleavage site on 28S ribosomal RNA by ricin A-chain. In this study, ricin A-chain (reduced ricin) exhibits specific depurination on a synthetic oligoribonucleotide (named SRD RNA) mimic of the sarcin/ricin domain of rat 28S ribosomal RNA under neutral and weak acidic conditions. Furthermore, the activity of intact ricin is also similar to that of ricin A-chain. However, under more acidic conditions, both enzymes lose their site specificity. The alteration in specificity of depurination is not dependent on the GAGA tetraloop of SRD RNA. A higher concentration of KCl inhibits the non-specific N-glycosidase activity much more than the specific activity of ricin A-chain. In addition, characterization of depurination sites by RNA sequencing reveals that under acidic conditions ricin A-chain can release not only adenines, but also guanines from SRD RNA or 5S ribosomal RNA. This is the first report of the non-specific deadenylation and deguanylation activity of ricin A-chain to the naked RNA under acidic conditions.

[Expression of Fas on monocytes and the level of plasma soluble FasL in patients with chronic renal failure]

OBJECTIVE

The dysfunction of monocytes in uremic patients has been demonstrated to be associated with monocyte accelerated apoptosis. The study was conducted toelucidate the mechanisms by which monocyte apoptosis was induced.

METHODS

Seven non-dialyzed chronic uremic patients and 18 hemodialysis (HD) patients were enrolled in the study. Fifteen healthy volunteers were selected as controls. The expression of Fas and Fas ligand (FasL) was examined by immunofluorescent staining and flow cytometer analysis. The levels of soluble FasL (sFasL) in plasma were analyzed by enzyme-linked immunosorbent assay (ELISA). The percentage of apoptotic cells in monocytes cultured in vitro with recombinant human FasL (rHu-FasL) was quantitated by DNA content analysis after extraction of the degraded DNA. Monocyte survival rate was analyzed by 5-diphenyl tetrazolium bromide (MTT) staining.

RESULTS

Expression of Fas on monocytes was significantly higher in uremic and HD patients than that in healthy subjects. Higher levels of Fas expression were demonstrated on monocytes from HD as patients compared with those from non-dialyzed patients. There was no difference in monocyte Fas expression between pre- and post-dialysis session and between patients using polysulfone and cellulose dialyzer. There was no detectable FasL expression on monocytes from both uremic patients and healthy controls. Plasma sFasL could be detected in uremic and HD patients, but not in healthy controls. There was no significant difference in levels of plasma sFasL between non-dialyzed and HD patients, pre- and post-dialysis session, and patients treated with polysulfone and cellulose dialyzer. When monocytes were cultured in vitro with rHu-FasL for 2 hours, higher levels of apoptosis and lower survival rate were found in monocytes from HD patients as compared with those from healthy controls.

CONCLUSION

The up-regulated expression of functional Fas on monocytes and the presence of sFasL in plasma may contribute to the accelerated apoptosis of monocytes seen in uremic patients.

Enhanced oxidant stress in synovial vessels of patients on hemodialysis

OBJECTIVE

To test the hypothesis that the susceptibility of synovial vessels to redox uncoupling which could result in oxidative damage capable of promoting beta 2-microglobulin (beta 2 m) deposition.

METHODS

The expression of oxidative markers by microvascular endothelial cells in hemodialysis (HD) patients, non-uremic patients and normal subjects was determined using immunostaining and Northern blotting.

RESULTS

Synovial vascular endothelial cells of HD patients exhibited evidence of oxidant stress: induction of malondialdehyde (MDA) epitopes and heme oxygenase. These oxidative markers were not detectable in microvascular endothelial cells of other tissues from HD patients, as well as in the synovial vessels of non-uremic or normal controls. Higher levels of heme oxygenase mRNA in synovia were seen in patients with beta 2 m deposition compared with patients without beta 2 m deposition.

CONCLUSIONS

Oxidative damage of the synovial microvasculature in uremic patients may be one of the factors which can promote deposition of beta 2 m in osteoarticular tissue.